Benchmarks for a future article of various 1P AMD EPYC performance tests.
ACES DGEMM This is a multi-threaded DGEMM benchmark. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org GFLOP/s, More Is Better ACES DGEMM 1.0 Sustained Floating-Point Rate EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 4 8 12 16 20 SE +/- 0.044903, N = 3 SE +/- 0.050387, N = 3 SE +/- 0.032837, N = 3 SE +/- 0.249884, N = 3 SE +/- 0.267671, N = 3 SE +/- 0.194041, N = 3 SE +/- 0.118524, N = 15 SE +/- 0.148138, N = 3 SE +/- 0.105342, N = 3 SE +/- 0.075924, N = 3 SE +/- 0.079585, N = 15 SE +/- 0.111318, N = 3 SE +/- 0.077277, N = 3 SE +/- 0.089451, N = 3 SE +/- 0.039936, N = 3 SE +/- 0.060143, N = 3 SE +/- 0.042595, N = 3 SE +/- 0.017368, N = 3 SE +/- 0.031130, N = 3 SE +/- 0.016232, N = 3 7.513536 6.194514 2.969549 15.188358 16.544917 13.770619 12.678299 9.218407 9.732388 9.488085 9.308025 8.907940 7.273022 6.740164 5.054392 4.499071 3.613094 2.717810 2.583445 1.667038 1. (CC) gcc options: -O3 -march=native -fopenmp
Result Confidence
OpenBenchmarking.org GFLOP/s, More Is Better ACES DGEMM 1.0 Sustained Floating-Point Rate EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 4 8 12 16 20 Min: 7.44 / Avg: 7.51 / Max: 7.59 Min: 6.14 / Avg: 6.19 / Max: 6.29 Min: 2.92 / Avg: 2.97 / Max: 3.03 Min: 14.9 / Avg: 15.19 / Max: 15.69 Min: 16.11 / Avg: 16.54 / Max: 17.03 Min: 13.39 / Avg: 13.77 / Max: 14.03 Min: 11.57 / Avg: 12.68 / Max: 13.15 Min: 8.94 / Avg: 9.22 / Max: 9.44 Min: 9.53 / Avg: 9.73 / Max: 9.89 Min: 9.38 / Avg: 9.49 / Max: 9.63 Min: 8.67 / Avg: 9.31 / Max: 9.63 Min: 8.75 / Avg: 8.91 / Max: 9.12 Min: 7.17 / Avg: 7.27 / Max: 7.43 Min: 6.59 / Avg: 6.74 / Max: 6.9 Min: 4.99 / Avg: 5.05 / Max: 5.12 Min: 4.42 / Avg: 4.5 / Max: 4.62 Min: 3.53 / Avg: 3.61 / Max: 3.67 Min: 2.69 / Avg: 2.72 / Max: 2.74 Min: 2.54 / Avg: 2.58 / Max: 2.64 Min: 1.64 / Avg: 1.67 / Max: 1.7 1. (CC) gcc options: -O3 -march=native -fopenmp
Stress-NG Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: MMAP EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 200 400 600 800 1000 SE +/- 0.29, N = 3 SE +/- 0.37, N = 3 SE +/- 0.44, N = 3 SE +/- 0.14, N = 3 SE +/- 1.24, N = 3 SE +/- 3.65, N = 3 SE +/- 1.69, N = 3 SE +/- 0.49, N = 3 SE +/- 0.86, N = 3 SE +/- 1.84, N = 3 SE +/- 1.49, N = 3 SE +/- 2.15, N = 3 SE +/- 0.44, N = 3 SE +/- 1.19, N = 3 SE +/- 0.91, N = 3 SE +/- 0.99, N = 3 SE +/- 0.75, N = 3 SE +/- 0.48, N = 3 SE +/- 0.27, N = 3 SE +/- 0.16, N = 3 352.52 230.59 115.82 904.46 922.75 679.67 700.86 481.77 448.37 483.78 482.08 474.52 363.24 344.22 228.74 252.79 186.52 111.22 116.86 118.38 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
Result Confidence
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: MMAP EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 160 320 480 640 800 Min: 351.94 / Avg: 352.52 / Max: 352.84 Min: 229.85 / Avg: 230.59 / Max: 231.04 Min: 115.15 / Avg: 115.82 / Max: 116.65 Min: 904.23 / Avg: 904.46 / Max: 904.72 Min: 920.64 / Avg: 922.75 / Max: 924.95 Min: 673.23 / Avg: 679.67 / Max: 685.86 Min: 697.7 / Avg: 700.86 / Max: 703.5 Min: 481.21 / Avg: 481.77 / Max: 482.74 Min: 447.48 / Avg: 448.37 / Max: 450.08 Min: 481.18 / Avg: 483.78 / Max: 487.34 Min: 479.91 / Avg: 482.08 / Max: 484.94 Min: 470.58 / Avg: 474.52 / Max: 477.98 Min: 362.51 / Avg: 363.24 / Max: 364.04 Min: 341.85 / Avg: 344.22 / Max: 345.65 Min: 226.95 / Avg: 228.74 / Max: 229.95 Min: 250.98 / Avg: 252.79 / Max: 254.38 Min: 185.02 / Avg: 186.52 / Max: 187.35 Min: 110.53 / Avg: 111.22 / Max: 112.15 Min: 116.48 / Avg: 116.86 / Max: 117.39 Min: 118.19 / Avg: 118.38 / Max: 118.69 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
Result
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Semaphores EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 2M 4M 6M 8M 10M SE +/- 4355.00, N = 3 SE +/- 10192.76, N = 3 SE +/- 643.25, N = 3 SE +/- 8815.15, N = 3 SE +/- 36035.92, N = 3 SE +/- 7510.98, N = 3 SE +/- 17764.90, N = 3 SE +/- 33103.80, N = 3 SE +/- 6229.17, N = 3 SE +/- 4978.84, N = 3 SE +/- 25409.49, N = 3 SE +/- 20238.04, N = 3 SE +/- 15685.26, N = 3 SE +/- 2929.41, N = 3 SE +/- 3591.62, N = 3 SE +/- 2401.91, N = 3 SE +/- 1404.08, N = 3 SE +/- 1503.17, N = 3 SE +/- 2002.32, N = 3 SE +/- 699.96, N = 3 3398307.36 2296867.17 1123267.36 8681304.25 8774129.37 6435677.98 6519097.16 4395637.93 4389847.95 4353954.55 4353781.68 4372996.35 3235018.08 3189832.78 2155404.24 2217376.84 1655038.96 1068384.20 1081054.66 1081706.29 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
Result Confidence
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Semaphores EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 1.5M 3M 4.5M 6M 7.5M Min: 3392892.99 / Avg: 3398307.36 / Max: 3406923.14 Min: 2282258.59 / Avg: 2296867.17 / Max: 2316484.82 Min: 1121983.91 / Avg: 1123267.36 / Max: 1123985.77 Min: 8668605.07 / Avg: 8681304.25 / Max: 8698244.81 Min: 8703722.9 / Avg: 8774129.37 / Max: 8822672.77 Min: 6422749.86 / Avg: 6435677.98 / Max: 6448767.17 Min: 6484408.43 / Avg: 6519097.16 / Max: 6543096.92 Min: 4361662.69 / Avg: 4395637.93 / Max: 4461837.82 Min: 4379647.09 / Avg: 4389847.95 / Max: 4401142.29 Min: 4344204.7 / Avg: 4353954.55 / Max: 4360582.14 Min: 4316973 / Avg: 4353781.68 / Max: 4402530.17 Min: 4340438.81 / Avg: 4372996.35 / Max: 4410101.54 Min: 3203671.95 / Avg: 3235018.08 / Max: 3251762.1 Min: 3184238.18 / Avg: 3189832.78 / Max: 3194136.61 Min: 2149676.3 / Avg: 2155404.24 / Max: 2162022.17 Min: 2212830.65 / Avg: 2217376.84 / Max: 2220994.04 Min: 1652768.13 / Avg: 1655038.96 / Max: 1657605.05 Min: 1066535.45 / Avg: 1068384.2 / Max: 1071361.67 Min: 1077860.45 / Avg: 1081054.66 / Max: 1084743.56 Min: 1080345.15 / Avg: 1081706.29 / Max: 1082670.26 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
John The Ripper This is a benchmark of John The Ripper, which is a password cracker. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Real C/S, More Is Better John The Ripper 1.9.0-jumbo-1 Test: Blowfish EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 16K 32K 48K 64K 80K SE +/- 170.86, N = 3 SE +/- 17.90, N = 3 SE +/- 20.85, N = 3 SE +/- 108.39, N = 3 SE +/- 107.31, N = 3 SE +/- 27.43, N = 3 SE +/- 39.72, N = 3 SE +/- 66.64, N = 3 SE +/- 8.37, N = 3 SE +/- 25.03, N = 3 SE +/- 50.84, N = 3 SE +/- 99.32, N = 3 SE +/- 78.29, N = 3 SE +/- 111.57, N = 3 SE +/- 20.42, N = 3 SE +/- 2.73, N = 3 SE +/- 58.71, N = 3 SE +/- 22.52, N = 3 SE +/- 33.95, N = 3 SE +/- 5.36, N = 3 37810 26828 12832 66272 74411 61922 61138 45255 43396 44348 44279 41176 34101 29439 22695 22039 15594 11685 10441 11027 1. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt -lbz2
Result Confidence
OpenBenchmarking.org Real C/S, More Is Better John The Ripper 1.9.0-jumbo-1 Test: Blowfish EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 13K 26K 39K 52K 65K Min: 37499 / Avg: 37810.33 / Max: 38088 Min: 26793 / Avg: 26828.33 / Max: 26851 Min: 12793 / Avg: 12832.33 / Max: 12864 Min: 66135 / Avg: 66272 / Max: 66486 Min: 74216 / Avg: 74411.33 / Max: 74586 Min: 61891 / Avg: 61922.33 / Max: 61977 Min: 61064 / Avg: 61138 / Max: 61200 Min: 45181 / Avg: 45255 / Max: 45388 Min: 43382 / Avg: 43396.33 / Max: 43411 Min: 44298 / Avg: 44348 / Max: 44375 Min: 44202 / Avg: 44279 / Max: 44375 Min: 40978 / Avg: 41176.33 / Max: 41285 Min: 34015 / Avg: 34100.67 / Max: 34257 Min: 29217 / Avg: 29439.33 / Max: 29567 Min: 22665 / Avg: 22695 / Max: 22734 Min: 22034 / Avg: 22039.33 / Max: 22043 Min: 15480 / Avg: 15593.67 / Max: 15676 Min: 11640 / Avg: 11684.67 / Max: 11712 Min: 10374 / Avg: 10441 / Max: 10484 Min: 11017 / Avg: 11027.33 / Max: 11035 1. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt -lbz2
Stress-NG Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: CPU Stress EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 5K 10K 15K 20K 25K SE +/- 18.81, N = 3 SE +/- 41.36, N = 3 SE +/- 33.82, N = 3 SE +/- 93.46, N = 3 SE +/- 36.02, N = 3 SE +/- 100.29, N = 3 SE +/- 88.84, N = 3 SE +/- 87.55, N = 3 SE +/- 20.90, N = 3 SE +/- 96.28, N = 3 SE +/- 21.35, N = 3 SE +/- 31.91, N = 3 SE +/- 82.07, N = 3 SE +/- 11.41, N = 3 SE +/- 3.65, N = 3 SE +/- 16.02, N = 3 SE +/- 28.38, N = 3 SE +/- 34.49, N = 3 SE +/- 11.11, N = 3 SE +/- 15.00, N = 3 10130.61 6955.53 3674.27 21019.80 21376.10 17243.37 16615.54 11865.34 11978.84 11749.88 11782.77 11239.19 8849.73 8387.53 5909.26 5717.26 4506.58 3230.19 3024.05 3032.55 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
Result Confidence
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: CPU Stress EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 4K 8K 12K 16K 20K Min: 10093.48 / Avg: 10130.61 / Max: 10154.39 Min: 6878.65 / Avg: 6955.53 / Max: 7020.43 Min: 3615.45 / Avg: 3674.27 / Max: 3732.59 Min: 20833.09 / Avg: 21019.8 / Max: 21120.92 Min: 21311.89 / Avg: 21376.1 / Max: 21436.5 Min: 17044.13 / Avg: 17243.37 / Max: 17363.05 Min: 16439.03 / Avg: 16615.54 / Max: 16721.45 Min: 11690.46 / Avg: 11865.34 / Max: 11960.53 Min: 11940.43 / Avg: 11978.84 / Max: 12012.32 Min: 11558.57 / Avg: 11749.88 / Max: 11864.54 Min: 11740.66 / Avg: 11782.77 / Max: 11809.98 Min: 11198.19 / Avg: 11239.19 / Max: 11302.04 Min: 8752.21 / Avg: 8849.73 / Max: 9012.83 Min: 8369.21 / Avg: 8387.53 / Max: 8408.46 Min: 5901.98 / Avg: 5909.26 / Max: 5913.34 Min: 5692.55 / Avg: 5717.26 / Max: 5747.29 Min: 4449.94 / Avg: 4506.58 / Max: 4537.94 Min: 3192.87 / Avg: 3230.19 / Max: 3299.1 Min: 3010.7 / Avg: 3024.05 / Max: 3046.1 Min: 3005.06 / Avg: 3032.55 / Max: 3056.68 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenVINO
Result
OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 6K 12K 18K 24K 30K SE +/- 24.25, N = 3 SE +/- 0.93, N = 3 SE +/- 6.67, N = 3 SE +/- 20.84, N = 3 SE +/- 183.24, N = 3 SE +/- 14.24, N = 3 SE +/- 56.63, N = 3 SE +/- 54.92, N = 3 SE +/- 22.13, N = 3 SE +/- 61.05, N = 3 SE +/- 107.37, N = 3 SE +/- 16.15, N = 3 SE +/- 17.40, N = 3 SE +/- 13.62, N = 3 SE +/- 13.64, N = 3 SE +/- 13.09, N = 3 SE +/- 5.52, N = 3 SE +/- 0.82, N = 3 SE +/- 6.17, N = 3 SE +/- 37.46, N = 3 14162.60 9632.78 4813.33 26399.13 29381.07 22787.21 23914.70 20075.53 16112.28 19121.22 18723.61 16906.29 13267.26 11838.88 8843.63 9710.46 6551.42 4376.88 4463.04 4157.14 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
Result Confidence
OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 5K 10K 15K 20K 25K Min: 14134.41 / Avg: 14162.6 / Max: 14210.87 Min: 9631.57 / Avg: 9632.78 / Max: 9634.61 Min: 4800.61 / Avg: 4813.33 / Max: 4823.16 Min: 26362.89 / Avg: 26399.13 / Max: 26435.08 Min: 29139.87 / Avg: 29381.07 / Max: 29740.62 Min: 22765.93 / Avg: 22787.21 / Max: 22814.23 Min: 23815.23 / Avg: 23914.7 / Max: 24011.34 Min: 19967.16 / Avg: 20075.53 / Max: 20145.19 Min: 16069.26 / Avg: 16112.28 / Max: 16142.81 Min: 19019.2 / Avg: 19121.22 / Max: 19230.34 Min: 18509.29 / Avg: 18723.61 / Max: 18842.47 Min: 16874.31 / Avg: 16906.29 / Max: 16926.14 Min: 13243.23 / Avg: 13267.26 / Max: 13301.06 Min: 11812.28 / Avg: 11838.88 / Max: 11857.28 Min: 8816.35 / Avg: 8843.63 / Max: 8857.35 Min: 9685.99 / Avg: 9710.46 / Max: 9730.76 Min: 6541.02 / Avg: 6551.42 / Max: 6559.83 Min: 4375.53 / Avg: 4376.88 / Max: 4378.35 Min: 4452.92 / Avg: 4463.04 / Max: 4474.2 Min: 4085.57 / Avg: 4157.14 / Max: 4212.12 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
Result
OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 6K 12K 18K 24K 30K SE +/- 29.68, N = 3 SE +/- 8.85, N = 3 SE +/- 1.21, N = 3 SE +/- 21.64, N = 3 SE +/- 124.62, N = 3 SE +/- 48.36, N = 3 SE +/- 69.23, N = 3 SE +/- 105.19, N = 3 SE +/- 3.90, N = 3 SE +/- 95.18, N = 3 SE +/- 33.89, N = 3 SE +/- 61.19, N = 3 SE +/- 94.67, N = 3 SE +/- 7.81, N = 3 SE +/- 24.93, N = 3 SE +/- 47.23, N = 3 SE +/- 8.61, N = 3 SE +/- 3.95, N = 3 SE +/- 5.11, N = 3 SE +/- 6.39, N = 3 14247.65 9658.17 4791.20 26400.82 29367.21 22849.66 24039.13 20072.56 16165.30 18803.44 18654.33 16765.72 13173.76 11890.05 8690.07 9634.72 6553.65 4377.26 4461.19 4161.93 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
Result Confidence
OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 5K 10K 15K 20K 25K Min: 14196.17 / Avg: 14247.65 / Max: 14299 Min: 9642.33 / Avg: 9658.17 / Max: 9672.92 Min: 4788.78 / Avg: 4791.2 / Max: 4792.51 Min: 26376.32 / Avg: 26400.82 / Max: 26443.96 Min: 29117.97 / Avg: 29367.21 / Max: 29493.71 Min: 22764.7 / Avg: 22849.66 / Max: 22932.16 Min: 23957.88 / Avg: 24039.13 / Max: 24176.84 Min: 19928.28 / Avg: 20072.56 / Max: 20277.29 Min: 16158.84 / Avg: 16165.3 / Max: 16172.32 Min: 18695.04 / Avg: 18803.44 / Max: 18993.16 Min: 18617.18 / Avg: 18654.33 / Max: 18722.01 Min: 16649.67 / Avg: 16765.72 / Max: 16857.38 Min: 12985.33 / Avg: 13173.76 / Max: 13284.11 Min: 11875.61 / Avg: 11890.05 / Max: 11902.45 Min: 8640.29 / Avg: 8690.07 / Max: 8717.28 Min: 9543.58 / Avg: 9634.72 / Max: 9701.76 Min: 6542.06 / Avg: 6553.65 / Max: 6570.47 Min: 4372.44 / Avg: 4377.26 / Max: 4385.09 Min: 4453.13 / Avg: 4461.19 / Max: 4470.66 Min: 4152.56 / Avg: 4161.93 / Max: 4174.13 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
Stress-NG Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Vector Math EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 90K 180K 270K 360K 450K SE +/- 478.76, N = 3 SE +/- 49.61, N = 3 SE +/- 5.55, N = 3 SE +/- 83.51, N = 3 SE +/- 358.04, N = 3 SE +/- 29.41, N = 3 SE +/- 446.26, N = 3 SE +/- 23.85, N = 3 SE +/- 154.60, N = 3 SE +/- 170.79, N = 3 SE +/- 136.87, N = 3 SE +/- 241.85, N = 3 SE +/- 70.64, N = 3 SE +/- 6.59, N = 3 SE +/- 1.03, N = 3 SE +/- 2.57, N = 3 SE +/- 7.74, N = 3 SE +/- 14.51, N = 3 SE +/- 11.30, N = 3 SE +/- 13.07, N = 3 198355.57 142745.02 70550.59 396445.89 400119.36 331524.05 327568.79 241837.62 231415.93 237835.68 237815.92 221038.57 183035.44 164870.78 120965.20 117313.44 87046.58 61366.13 57748.24 57789.41 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
Result Confidence
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Vector Math EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 70K 140K 210K 280K 350K Min: 197658.29 / Avg: 198355.57 / Max: 199272.52 Min: 142645.8 / Avg: 142745.02 / Max: 142795.63 Min: 70544.38 / Avg: 70550.59 / Max: 70561.67 Min: 396281.89 / Avg: 396445.89 / Max: 396555.31 Min: 399403.88 / Avg: 400119.36 / Max: 400502.51 Min: 331468.73 / Avg: 331524.05 / Max: 331569.02 Min: 327108.52 / Avg: 327568.79 / Max: 328461.17 Min: 241796.34 / Avg: 241837.62 / Max: 241878.96 Min: 231107.25 / Avg: 231415.93 / Max: 231585.92 Min: 237534.61 / Avg: 237835.68 / Max: 238125.95 Min: 237557.24 / Avg: 237815.92 / Max: 238022.8 Min: 220563.4 / Avg: 221038.57 / Max: 221354.45 Min: 182894.29 / Avg: 183035.44 / Max: 183111.31 Min: 164858.89 / Avg: 164870.78 / Max: 164881.64 Min: 120963.15 / Avg: 120965.2 / Max: 120966.42 Min: 117308.69 / Avg: 117313.44 / Max: 117317.53 Min: 87038.08 / Avg: 87046.58 / Max: 87062.04 Min: 61337.3 / Avg: 61366.13 / Max: 61383.41 Min: 57729.89 / Avg: 57748.24 / Max: 57768.83 Min: 57765.31 / Avg: 57789.41 / Max: 57810.22 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenSSL OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test measures the RSA 4096-bit performance of OpenSSL. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Signs Per Second, More Is Better OpenSSL 1.1.1 RSA 4096-bit Performance EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 3K 6K 9K 12K 15K SE +/- 9.11, N = 3 SE +/- 1.70, N = 3 SE +/- 0.42, N = 3 SE +/- 6.95, N = 3 SE +/- 0.76, N = 3 SE +/- 0.23, N = 3 SE +/- 2.07, N = 3 SE +/- 1.54, N = 3 SE +/- 3.92, N = 3 SE +/- 0.83, N = 3 SE +/- 0.48, N = 3 SE +/- 1.27, N = 3 SE +/- 1.87, N = 3 SE +/- 0.65, N = 3 SE +/- 0.80, N = 3 SE +/- 0.25, N = 3 SE +/- 0.72, N = 3 SE +/- 0.64, N = 3 SE +/- 0.55, N = 3 SE +/- 0.38, N = 3 6350.7 4574.4 2264.8 11503.7 12330.2 10299.8 9912.0 7757.8 7180.2 7396.3 7393.3 6850.1 5854.8 5221.3 3873.2 3757.1 2794.5 1971.6 1855.0 1878.6 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
Result Confidence
OpenBenchmarking.org Signs Per Second, More Is Better OpenSSL 1.1.1 RSA 4096-bit Performance EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 2K 4K 6K 8K 10K Min: 6340.8 / Avg: 6350.7 / Max: 6368.9 Min: 4571.2 / Avg: 4574.37 / Max: 4577 Min: 2264.3 / Avg: 2264.77 / Max: 2265.6 Min: 11489.8 / Avg: 11503.67 / Max: 11511.3 Min: 12329 / Avg: 12330.2 / Max: 12331.6 Min: 10299.4 / Avg: 10299.83 / Max: 10300.2 Min: 9907.9 / Avg: 9912.03 / Max: 9914.1 Min: 7755.5 / Avg: 7757.77 / Max: 7760.7 Min: 7172.5 / Avg: 7180.17 / Max: 7185.4 Min: 7394.7 / Avg: 7396.27 / Max: 7397.5 Min: 7392.8 / Avg: 7393.33 / Max: 7394.3 Min: 6848.7 / Avg: 6850.07 / Max: 6852.6 Min: 5851.2 / Avg: 5854.77 / Max: 5857.5 Min: 5220 / Avg: 5221.3 / Max: 5222 Min: 3872.2 / Avg: 3873.23 / Max: 3874.8 Min: 3756.8 / Avg: 3757.1 / Max: 3757.6 Min: 2793.6 / Avg: 2794.47 / Max: 2795.9 Min: 1970.4 / Avg: 1971.57 / Max: 1972.6 Min: 1853.9 / Avg: 1855 / Max: 1855.6 Min: 1878 / Avg: 1878.63 / Max: 1879.3 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
Stress-NG Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: NUMA EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 200 400 600 800 1000 SE +/- 0.86, N = 3 SE +/- 0.27, N = 3 SE +/- 0.90, N = 3 SE +/- 2.39, N = 3 SE +/- 5.03, N = 3 SE +/- 4.53, N = 3 SE +/- 4.10, N = 3 SE +/- 4.13, N = 3 SE +/- 2.78, N = 3 SE +/- 0.34, N = 3 SE +/- 0.71, N = 3 SE +/- 0.23, N = 3 SE +/- 3.07, N = 3 SE +/- 2.33, N = 3 SE +/- 0.19, N = 3 SE +/- 0.32, N = 3 SE +/- 0.20, N = 3 SE +/- 0.12, N = 3 SE +/- 1.02, N = 3 SE +/- 0.74, N = 3 587.94 424.32 209.03 1099.57 1120.67 942.93 928.80 718.59 661.64 677.26 677.19 624.86 542.30 480.83 358.21 346.53 257.99 182.67 173.04 169.35 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
Result Confidence
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: NUMA EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 200 400 600 800 1000 Min: 587.03 / Avg: 587.94 / Max: 589.65 Min: 423.84 / Avg: 424.32 / Max: 424.79 Min: 207.24 / Avg: 209.03 / Max: 210.15 Min: 1095.06 / Avg: 1099.57 / Max: 1103.18 Min: 1113.59 / Avg: 1120.67 / Max: 1130.41 Min: 933.87 / Avg: 942.93 / Max: 947.76 Min: 923.85 / Avg: 928.8 / Max: 936.93 Min: 710.47 / Avg: 718.59 / Max: 723.95 Min: 658.47 / Avg: 661.64 / Max: 667.18 Min: 676.7 / Avg: 677.26 / Max: 677.88 Min: 676.36 / Avg: 677.19 / Max: 678.59 Min: 624.58 / Avg: 624.86 / Max: 625.31 Min: 538.27 / Avg: 542.3 / Max: 548.34 Min: 477.89 / Avg: 480.83 / Max: 485.42 Min: 357.94 / Avg: 358.21 / Max: 358.57 Min: 345.97 / Avg: 346.53 / Max: 347.07 Min: 257.74 / Avg: 257.99 / Max: 258.38 Min: 182.43 / Avg: 182.67 / Max: 182.8 Min: 171.01 / Avg: 173.04 / Max: 174.18 Min: 167.87 / Avg: 169.35 / Max: 170.21 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
Result
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Crypto EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 3K 6K 9K 12K 15K SE +/- 6.75, N = 3 SE +/- 2.83, N = 3 SE +/- 3.01, N = 3 SE +/- 10.21, N = 3 SE +/- 6.05, N = 3 SE +/- 13.57, N = 3 SE +/- 8.63, N = 3 SE +/- 9.87, N = 3 SE +/- 9.13, N = 3 SE +/- 15.42, N = 3 SE +/- 1.37, N = 3 SE +/- 10.96, N = 3 SE +/- 7.88, N = 3 SE +/- 6.01, N = 3 SE +/- 5.14, N = 3 SE +/- 5.50, N = 3 SE +/- 4.50, N = 3 SE +/- 0.52, N = 3 SE +/- 2.12, N = 3 SE +/- 3.27, N = 3 6326.59 4581.63 2267.19 12001.39 12124.64 10062.21 10001.40 7737.59 7099.54 7283.56 7300.94 6720.45 5832.21 5143.78 3885.41 3772.31 2797.70 1970.61 1858.39 1857.42 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
Result Confidence
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Crypto EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 2K 4K 6K 8K 10K Min: 6314.69 / Avg: 6326.59 / Max: 6338.06 Min: 4576.02 / Avg: 4581.63 / Max: 4585.09 Min: 2261.27 / Avg: 2267.19 / Max: 2271.11 Min: 11981.26 / Avg: 12001.39 / Max: 12014.46 Min: 12118.46 / Avg: 12124.64 / Max: 12136.74 Min: 10045.71 / Avg: 10062.21 / Max: 10089.11 Min: 9984.14 / Avg: 10001.4 / Max: 10010.03 Min: 7722.55 / Avg: 7737.59 / Max: 7756.19 Min: 7081.47 / Avg: 7099.54 / Max: 7110.88 Min: 7252.79 / Avg: 7283.56 / Max: 7300.75 Min: 7298.23 / Avg: 7300.94 / Max: 7302.61 Min: 6708.43 / Avg: 6720.45 / Max: 6742.34 Min: 5816.65 / Avg: 5832.21 / Max: 5842.15 Min: 5132.13 / Avg: 5143.78 / Max: 5152.17 Min: 3878.04 / Avg: 3885.41 / Max: 3895.31 Min: 3761.72 / Avg: 3772.31 / Max: 3780.18 Min: 2789 / Avg: 2797.7 / Max: 2804.07 Min: 1970.01 / Avg: 1970.61 / Max: 1971.64 Min: 1854.15 / Avg: 1858.39 / Max: 1860.71 Min: 1850.88 / Avg: 1857.42 / Max: 1860.74 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OSPray Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific visualizations. OSPray builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: San Miguel - Renderer: Path Tracer EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 1.116 2.232 3.348 4.464 5.58 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 6 SE +/- 0.00, N = 3 SE +/- 0.00, N = 7 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 2.61 1.86 0.92 4.84 4.96 4.17 4.14 3.20 2.90 3.01 3.02 2.80 2.43 2.13 1.64 1.57 1.18 0.85 0.79 0.76
Result Confidence
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: San Miguel - Renderer: Path Tracer EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 2 4 6 8 10 Min: 2.6 / Avg: 2.61 / Max: 2.61 Min: 1.86 / Avg: 1.86 / Max: 1.86 Min: 0.92 / Avg: 0.92 / Max: 0.92 Min: 4.83 / Avg: 4.84 / Max: 4.85 Min: 4.95 / Avg: 4.96 / Max: 4.98 Min: 4.17 / Avg: 4.17 / Max: 4.18 Min: 4.13 / Avg: 4.14 / Max: 4.15 Min: 3.19 / Avg: 3.2 / Max: 3.21 Min: 2.89 / Avg: 2.9 / Max: 2.9 Min: 3.01 / Avg: 3.01 / Max: 3.02 Min: 3.01 / Avg: 3.02 / Max: 3.02 Min: 2.79 / Avg: 2.8 / Max: 2.8 Min: 2.43 / Avg: 2.43 / Max: 2.43 Min: 2.12 / Avg: 2.13 / Max: 2.13 Min: 1.63 / Avg: 1.64 / Max: 1.64 Min: 1.56 / Avg: 1.57 / Max: 1.57 Min: 1.18 / Avg: 1.18 / Max: 1.19 Min: 0.85 / Avg: 0.85 / Max: 0.86 Min: 0.78 / Avg: 0.79 / Max: 0.79 Min: 0.76 / Avg: 0.76 / Max: 0.76
N-Queens This is a test of the OpenMP version of a test that solves the N-queens problem. The board problem size is 18. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better N-Queens 1.0 Elapsed Time EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 4 8 12 16 20 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.005, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.005, N = 3 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 5.069 7.046 14.278 2.746 2.725 3.253 3.286 4.190 4.640 4.501 4.501 4.882 5.596 6.409 8.323 8.645 11.566 16.427 17.441 17.146 1. (CC) gcc options: -static -fopenmp -O3 -march=native
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better N-Queens 1.0 Elapsed Time EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 4 8 12 16 20 Min: 5.07 / Avg: 5.07 / Max: 5.07 Min: 7.05 / Avg: 7.05 / Max: 7.05 Min: 14.27 / Avg: 14.28 / Max: 14.29 Min: 2.74 / Avg: 2.75 / Max: 2.75 Min: 2.72 / Avg: 2.72 / Max: 2.73 Min: 3.25 / Avg: 3.25 / Max: 3.26 Min: 3.28 / Avg: 3.29 / Max: 3.29 Min: 4.19 / Avg: 4.19 / Max: 4.2 Min: 4.64 / Avg: 4.64 / Max: 4.64 Min: 4.5 / Avg: 4.5 / Max: 4.51 Min: 4.5 / Avg: 4.5 / Max: 4.51 Min: 4.88 / Avg: 4.88 / Max: 4.88 Min: 5.59 / Avg: 5.6 / Max: 5.6 Min: 6.41 / Avg: 6.41 / Max: 6.41 Min: 8.32 / Avg: 8.32 / Max: 8.32 Min: 8.64 / Avg: 8.65 / Max: 8.65 Min: 11.56 / Avg: 11.57 / Max: 11.57 Min: 16.42 / Avg: 16.43 / Max: 16.44 Min: 17.43 / Avg: 17.44 / Max: 17.45 Min: 17.15 / Avg: 17.15 / Max: 17.15 1. (CC) gcc options: -static -fopenmp -O3 -march=native
Stress-NG Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Glibc Qsort Data Sorting EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 160 320 480 640 800 SE +/- 0.05, N = 3 SE +/- 0.72, N = 3 SE +/- 1.40, N = 8 SE +/- 1.11, N = 3 SE +/- 0.22, N = 3 SE +/- 3.28, N = 3 SE +/- 0.84, N = 3 SE +/- 1.41, N = 3 SE +/- 1.34, N = 3 SE +/- 1.14, N = 3 SE +/- 1.72, N = 3 SE +/- 0.82, N = 3 SE +/- 0.38, N = 3 SE +/- 0.58, N = 3 SE +/- 0.63, N = 3 SE +/- 0.38, N = 3 SE +/- 1.17, N = 3 SE +/- 0.57, N = 3 SE +/- 0.44, N = 3 SE +/- 0.66, N = 3 382.48 278.96 136.68 712.74 720.68 601.79 593.06 466.71 420.92 437.71 435.96 399.46 355.44 309.62 236.25 227.20 170.19 120.20 113.46 112.92 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
Result Confidence
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Glibc Qsort Data Sorting EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 130 260 390 520 650 Min: 382.4 / Avg: 382.48 / Max: 382.57 Min: 277.53 / Avg: 278.96 / Max: 279.87 Min: 127.17 / Avg: 136.68 / Max: 139.47 Min: 711.33 / Avg: 712.74 / Max: 714.93 Min: 720.27 / Avg: 720.68 / Max: 721 Min: 595.33 / Avg: 601.79 / Max: 606.03 Min: 591.77 / Avg: 593.06 / Max: 594.63 Min: 464.07 / Avg: 466.71 / Max: 468.9 Min: 418.33 / Avg: 420.92 / Max: 422.83 Min: 435.47 / Avg: 437.71 / Max: 439.17 Min: 432.87 / Avg: 435.96 / Max: 438.83 Min: 398.4 / Avg: 399.46 / Max: 401.07 Min: 354.83 / Avg: 355.44 / Max: 356.13 Min: 308.5 / Avg: 309.62 / Max: 310.43 Min: 235.37 / Avg: 236.25 / Max: 237.47 Min: 226.63 / Avg: 227.2 / Max: 227.93 Min: 168.1 / Avg: 170.19 / Max: 172.13 Min: 119.6 / Avg: 120.2 / Max: 121.33 Min: 112.6 / Avg: 113.46 / Max: 114.07 Min: 111.63 / Avg: 112.92 / Max: 113.77 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: IP Batch 1D - Data Type: f32 - Engine: CPU EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 SE +/- 0.00666, N = 3 SE +/- 0.00248, N = 3 SE +/- 0.05477, N = 15 SE +/- 0.02328, N = 3 SE +/- 0.01653, N = 3 SE +/- 0.00682, N = 3 SE +/- 0.02747, N = 3 SE +/- 0.02197, N = 3 SE +/- 0.01911, N = 3 SE +/- 0.01793, N = 3 SE +/- 0.03542, N = 15 SE +/- 0.05039, N = 15 SE +/- 0.02820, N = 15 SE +/- 0.02418, N = 15 SE +/- 0.01628, N = 3 SE +/- 0.10035, N = 15 SE +/- 0.05931, N = 3 SE +/- 0.50723, N = 15 SE +/- 0.02644, N = 3 SE +/- 0.13039, N = 15 1.64585 1.99596 5.44456 1.80818 1.63132 1.48624 2.02167 2.23648 2.22779 1.75183 2.18360 3.88529 2.40689 2.82041 2.62891 6.45984 4.48168 9.46298 5.17763 6.82638 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: IP Batch 1D - Data Type: f32 - Engine: CPU EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 Min: 1.64 / Avg: 1.65 / Max: 1.66 Min: 1.99 / Avg: 2 / Max: 2 Min: 4.89 / Avg: 5.44 / Max: 5.67 Min: 1.78 / Avg: 1.81 / Max: 1.85 Min: 1.6 / Avg: 1.63 / Max: 1.66 Min: 1.47 / Avg: 1.49 / Max: 1.49 Min: 1.99 / Avg: 2.02 / Max: 2.08 Min: 2.21 / Avg: 2.24 / Max: 2.28 Min: 2.2 / Avg: 2.23 / Max: 2.26 Min: 1.72 / Avg: 1.75 / Max: 1.77 Min: 2.03 / Avg: 2.18 / Max: 2.59 Min: 3.5 / Avg: 3.89 / Max: 4.21 Min: 2.22 / Avg: 2.41 / Max: 2.56 Min: 2.58 / Avg: 2.82 / Max: 2.96 Min: 2.6 / Avg: 2.63 / Max: 2.65 Min: 5.52 / Avg: 6.46 / Max: 6.84 Min: 4.42 / Avg: 4.48 / Max: 4.6 Min: 7.06 / Avg: 9.46 / Max: 14.82 Min: 5.13 / Avg: 5.18 / Max: 5.22 Min: 6.08 / Avg: 6.83 / Max: 7.88 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
m-queens A solver for the N-queens problem with multi-threading support via the OpenMP library. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better m-queens 1.2 Time To Solve EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 20 40 60 80 100 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.09, N = 3 SE +/- 0.02, N = 3 SE +/- 0.09, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 26.08 36.27 73.26 14.31 14.18 16.79 16.95 21.71 23.79 23.22 23.21 25.00 28.73 32.77 42.81 44.20 59.45 84.25 89.47 88.09 1. (CXX) g++ options: -fopenmp -O2 -march=native
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better m-queens 1.2 Time To Solve EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 20 40 60 80 100 Min: 26.06 / Avg: 26.08 / Max: 26.11 Min: 36.26 / Avg: 36.27 / Max: 36.28 Min: 73.23 / Avg: 73.26 / Max: 73.27 Min: 14.26 / Avg: 14.31 / Max: 14.34 Min: 14.11 / Avg: 14.18 / Max: 14.21 Min: 16.76 / Avg: 16.79 / Max: 16.83 Min: 16.89 / Avg: 16.94 / Max: 17.02 Min: 21.67 / Avg: 21.71 / Max: 21.75 Min: 23.7 / Avg: 23.79 / Max: 23.88 Min: 23.11 / Avg: 23.22 / Max: 23.28 Min: 23.06 / Avg: 23.21 / Max: 23.37 Min: 24.97 / Avg: 25 / Max: 25.03 Min: 28.62 / Avg: 28.73 / Max: 28.91 Min: 32.69 / Avg: 32.77 / Max: 32.84 Min: 42.79 / Avg: 42.81 / Max: 42.83 Min: 44.14 / Avg: 44.2 / Max: 44.24 Min: 59.41 / Avg: 59.45 / Max: 59.46 Min: 84.23 / Avg: 84.25 / Max: 84.26 Min: 89.42 / Avg: 89.47 / Max: 89.5 Min: 88.03 / Avg: 88.09 / Max: 88.15 1. (CXX) g++ options: -fopenmp -O2 -march=native
C-Ray This is a test of C-Ray, a simple raytracer designed to test the floating-point CPU performance. This test is multi-threaded (16 threads per core), will shoot 8 rays per pixel for anti-aliasing, and will generate a 1600 x 1200 image. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better C-Ray 1.1 Total Time - 4K, 16 Rays Per Pixel EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 20 40 60 80 100 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 24.00 33.24 66.97 13.14 13.06 15.44 15.63 19.93 21.86 21.31 21.36 23.05 26.19 29.96 39.16 40.67 54.25 76.84 81.67 80.54 1. (CC) gcc options: -lm -lpthread -O3
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better C-Ray 1.1 Total Time - 4K, 16 Rays Per Pixel EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 16 32 48 64 80 Min: 23.84 / Avg: 24 / Max: 24.1 Min: 33.19 / Avg: 33.24 / Max: 33.27 Min: 66.85 / Avg: 66.97 / Max: 67.05 Min: 13.11 / Avg: 13.14 / Max: 13.19 Min: 12.99 / Avg: 13.06 / Max: 13.1 Min: 15.35 / Avg: 15.44 / Max: 15.48 Min: 15.59 / Avg: 15.62 / Max: 15.65 Min: 19.88 / Avg: 19.93 / Max: 19.98 Min: 21.84 / Avg: 21.86 / Max: 21.88 Min: 21.3 / Avg: 21.31 / Max: 21.33 Min: 21.28 / Avg: 21.36 / Max: 21.47 Min: 23 / Avg: 23.05 / Max: 23.09 Min: 26.14 / Avg: 26.19 / Max: 26.28 Min: 29.93 / Avg: 29.95 / Max: 30 Min: 39.14 / Avg: 39.16 / Max: 39.19 Min: 40.63 / Avg: 40.67 / Max: 40.74 Min: 54.23 / Avg: 54.25 / Max: 54.27 Min: 76.81 / Avg: 76.84 / Max: 76.87 Min: 81.58 / Avg: 81.67 / Max: 81.81 Min: 80.51 / Avg: 80.54 / Max: 80.6 1. (CC) gcc options: -lm -lpthread -O3
Stress-NG Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Context Switching EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 4M 8M 12M 16M 20M SE +/- 94521.27, N = 3 SE +/- 29716.88, N = 3 SE +/- 28186.41, N = 3 SE +/- 107878.70, N = 3 SE +/- 205768.32, N = 15 SE +/- 94951.48, N = 3 SE +/- 155445.81, N = 15 SE +/- 120996.14, N = 9 SE +/- 138168.08, N = 3 SE +/- 98762.81, N = 15 SE +/- 102325.96, N = 15 SE +/- 81230.48, N = 15 SE +/- 50217.68, N = 3 SE +/- 52003.80, N = 3 SE +/- 9769.89, N = 3 SE +/- 50833.87, N = 3 SE +/- 38644.74, N = 3 SE +/- 23350.93, N = 3 SE +/- 22526.16, N = 3 SE +/- 24650.01, N = 3 10203563.10 7756545.05 3819891.88 18405418.22 18566893.62 15626973.32 15435223.91 12327310.61 11066825.63 11286825.41 11355107.69 10457029.31 9536005.30 7892972.46 6603833.68 6096293.69 4389316.13 3316915.90 2970114.52 3005936.07 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
Result Confidence
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Context Switching EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 3M 6M 9M 12M 15M Min: 10029895.8 / Avg: 10203563.1 / Max: 10355069.48 Min: 7715369.06 / Avg: 7756545.05 / Max: 7814250.19 Min: 3764412.74 / Avg: 3819891.88 / Max: 3856289.94 Min: 18267832.08 / Avg: 18405418.22 / Max: 18618141.77 Min: 17260837.8 / Avg: 18566893.62 / Max: 19589156.55 Min: 15485009.26 / Avg: 15626973.32 / Max: 15807189.08 Min: 14410372.44 / Avg: 15435223.91 / Max: 16355719.87 Min: 11704204.82 / Avg: 12327310.61 / Max: 12869252.45 Min: 10790876.02 / Avg: 11066825.63 / Max: 11217454.01 Min: 10644170.18 / Avg: 11286825.41 / Max: 11817686.65 Min: 10680260.72 / Avg: 11355107.69 / Max: 11922794.08 Min: 10056342.93 / Avg: 10457029.31 / Max: 11037543.2 Min: 9465830.97 / Avg: 9536005.3 / Max: 9633318.81 Min: 7839201.21 / Avg: 7892972.46 / Max: 7996959.81 Min: 6589281.5 / Avg: 6603833.68 / Max: 6622402.6 Min: 6009495.73 / Avg: 6096293.69 / Max: 6185538.41 Min: 4331161.98 / Avg: 4389316.13 / Max: 4462481.97 Min: 3279882.3 / Avg: 3316915.9 / Max: 3360073.76 Min: 2928072.83 / Avg: 2970114.52 / Max: 3005158.75 Min: 2970471.06 / Avg: 3005936.07 / Max: 3053325.69 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
Tungsten Renderer Tungsten is a C++ physically based renderer that makes use of Intel's Embree ray tracing library. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Tungsten Renderer 0.2.2 Scene: Non-Exponential EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 4 8 12 16 20 SE +/- 0.07025, N = 3 SE +/- 0.06206, N = 3 SE +/- 0.07675, N = 3 SE +/- 0.02803, N = 3 SE +/- 0.02153, N = 3 SE +/- 0.00856, N = 3 SE +/- 0.00797, N = 3 SE +/- 0.02211, N = 3 SE +/- 0.01224, N = 3 SE +/- 0.05097, N = 3 SE +/- 0.01621, N = 3 SE +/- 0.02491, N = 3 SE +/- 0.19470, N = 15 SE +/- 0.08801, N = 3 SE +/- 0.04114, N = 3 SE +/- 0.07563, N = 3 SE +/- 0.15066, N = 12 SE +/- 0.00870, N = 3 SE +/- 0.04289, N = 3 SE +/- 0.02292, N = 3 5.78518 7.84641 14.13350 2.55026 2.46068 3.30193 3.30455 4.46722 4.76807 4.47693 4.50760 4.74513 5.44209 6.22912 8.32494 7.69441 9.86575 15.31620 14.90570 14.66750 1. (CXX) g++ options: -std=c++0x -march=znver1 -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Tungsten Renderer 0.2.2 Scene: Non-Exponential EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 4 8 12 16 20 Min: 5.65 / Avg: 5.79 / Max: 5.87 Min: 7.74 / Avg: 7.85 / Max: 7.96 Min: 13.98 / Avg: 14.13 / Max: 14.24 Min: 2.5 / Avg: 2.55 / Max: 2.6 Min: 2.42 / Avg: 2.46 / Max: 2.48 Min: 3.29 / Avg: 3.3 / Max: 3.32 Min: 3.29 / Avg: 3.3 / Max: 3.32 Min: 4.43 / Avg: 4.47 / Max: 4.51 Min: 4.75 / Avg: 4.77 / Max: 4.79 Min: 4.38 / Avg: 4.48 / Max: 4.56 Min: 4.49 / Avg: 4.51 / Max: 4.54 Min: 4.71 / Avg: 4.75 / Max: 4.79 Min: 4.39 / Avg: 5.44 / Max: 6.04 Min: 6.06 / Avg: 6.23 / Max: 6.36 Min: 8.25 / Avg: 8.32 / Max: 8.4 Min: 7.58 / Avg: 7.69 / Max: 7.84 Min: 8.21 / Avg: 9.87 / Max: 10.09 Min: 15.3 / Avg: 15.32 / Max: 15.33 Min: 14.86 / Avg: 14.91 / Max: 14.99 Min: 14.62 / Avg: 14.67 / Max: 14.69 1. (CXX) g++ options: -std=c++0x -march=znver1 -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl
John The Ripper This is a benchmark of John The Ripper, which is a password cracker. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Real C/S, More Is Better John The Ripper 1.9.0-jumbo-1 Test: MD5 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 900K 1800K 2700K 3600K 4500K SE +/- 3179.80, N = 3 SE +/- 2403.70, N = 3 SE +/- 5929.17, N = 3 SE +/- 10503.97, N = 3 SE +/- 12490.00, N = 3 SE +/- 3055.05, N = 3 SE +/- 17776.39, N = 3 SE +/- 7218.80, N = 3 SE +/- 9504.38, N = 3 SE +/- 6437.74, N = 3 SE +/- 4932.88, N = 3 SE +/- 5811.87, N = 3 SE +/- 2645.75, N = 3 SE +/- 4630.81, N = 3 SE +/- 4630.81, N = 3 SE +/- 2590.75, N = 3 SE +/- 1052.26, N = 3 SE +/- 1989.22, N = 3 SE +/- 1479.80, N = 3 2311333 1700333 806656 3723000 4116000 3528000 3511000 2779333 2510000 2579667 2588000 2361667 2121000 1709333 1454667 1356000 995857 757145 664064 720571 1. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt -lbz2
Result Confidence
OpenBenchmarking.org Real C/S, More Is Better John The Ripper 1.9.0-jumbo-1 Test: MD5 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 700K 1400K 2100K 2800K 3500K Min: 2306000 / Avg: 2311333.33 / Max: 2317000 Min: 1697000 / Avg: 1700333.33 / Max: 1705000 Min: 795187 / Avg: 806655.67 / Max: 815001 Min: 3702000 / Avg: 3723000 / Max: 3734000 Min: 4098000 / Avg: 4116000 / Max: 4140000 Min: 3522000 / Avg: 3528000 / Max: 3532000 Min: 3485000 / Avg: 3511000 / Max: 3545000 Min: 2765000 / Avg: 2779333.33 / Max: 2788000 Min: 2500000 / Avg: 2510000 / Max: 2529000 Min: 2567000 / Avg: 2579666.67 / Max: 2588000 Min: 2580000 / Avg: 2588000 / Max: 2597000 Min: 2351000 / Avg: 2361666.67 / Max: 2371000 Min: 2116000 / Avg: 2121000 / Max: 2125000 Min: 1701000 / Avg: 1709333.33 / Max: 1717000 Min: 1447000 / Avg: 1454666.67 / Max: 1463000 Min: 990720 / Avg: 995856.67 / Max: 999014 Min: 755046 / Avg: 757145.33 / Max: 758323 Min: 661401 / Avg: 664063.67 / Max: 667955 Min: 717619 / Avg: 720571.33 / Max: 722227 1. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt -lbz2
Aircrack-ng Aircrack-ng is a tool for assessing WiFi/WLAN network security. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org k/s, More Is Better Aircrack-ng 1.5.2 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 30K 60K 90K 120K 150K SE +/- 30.11, N = 3 SE +/- 137.58, N = 3 SE +/- 34.12, N = 3 SE +/- 54.79, N = 3 SE +/- 48.31, N = 3 SE +/- 90.90, N = 3 SE +/- 57.23, N = 3 SE +/- 28.23, N = 3 SE +/- 12.96, N = 3 SE +/- 24.82, N = 3 SE +/- 15.94, N = 3 SE +/- 29.25, N = 3 SE +/- 20.42, N = 3 SE +/- 25.21, N = 3 SE +/- 18.89, N = 3 SE +/- 13.79, N = 3 SE +/- 17.03, N = 3 SE +/- 5.72, N = 3 SE +/- 13.61, N = 3 SE +/- 15.12, N = 3 79756.26 58522.66 29153.01 146423.18 147145.81 123965.62 123029.76 96854.95 87239.10 89791.60 89843.27 82555.86 73241.35 63293.53 49828.66 46844.14 35923.30 25324.35 23857.54 24167.85 1. (CXX) g++ options: -O3 -fvisibility=hidden -masm=intel -fcommon -rdynamic -lpthread -lz -lcrypto -lhwloc -ldl -lm -pthread
Result Confidence
OpenBenchmarking.org k/s, More Is Better Aircrack-ng 1.5.2 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 30K 60K 90K 120K 150K Min: 79706.26 / Avg: 79756.26 / Max: 79810.34 Min: 58360.01 / Avg: 58522.66 / Max: 58796.19 Min: 29096.71 / Avg: 29153.01 / Max: 29214.55 Min: 146314.98 / Avg: 146423.18 / Max: 146492.38 Min: 147064.91 / Avg: 147145.81 / Max: 147232.02 Min: 123874.35 / Avg: 123965.62 / Max: 124147.41 Min: 122953.6 / Avg: 123029.76 / Max: 123141.84 Min: 96817.27 / Avg: 96854.95 / Max: 96910.2 Min: 87214.38 / Avg: 87239.1 / Max: 87258.21 Min: 89743.86 / Avg: 89791.6 / Max: 89827.23 Min: 89812.09 / Avg: 89843.27 / Max: 89864.64 Min: 82521.84 / Avg: 82555.86 / Max: 82614.09 Min: 73200.79 / Avg: 73241.35 / Max: 73265.78 Min: 63244.31 / Avg: 63293.53 / Max: 63327.58 Min: 49793.43 / Avg: 49828.66 / Max: 49858.12 Min: 46826.92 / Avg: 46844.14 / Max: 46871.41 Min: 35891.06 / Avg: 35923.3 / Max: 35948.91 Min: 25312.96 / Avg: 25324.35 / Max: 25330.81 Min: 23830.34 / Avg: 23857.54 / Max: 23872.07 Min: 24150.37 / Avg: 24167.85 / Max: 24197.95 1. (CXX) g++ options: -O3 -fvisibility=hidden -masm=intel -fcommon -rdynamic -lpthread -lz -lcrypto -lhwloc -ldl -lm -pthread
Stockfish This is a test of Stockfish, an advanced C++11 chess benchmark that can scale up to 128 CPU cores. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Nodes Per Second, More Is Better Stockfish 9 Total Time EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 30M 60M 90M 120M 150M SE +/- 479570.41, N = 3 SE +/- 360191.07, N = 3 SE +/- 170891.29, N = 3 SE +/- 1059441.52, N = 3 SE +/- 1025327.97, N = 3 SE +/- 548666.83, N = 3 SE +/- 75175.84, N = 3 SE +/- 717031.41, N = 3 SE +/- 517707.55, N = 3 SE +/- 479922.60, N = 3 SE +/- 192516.87, N = 3 SE +/- 528676.50, N = 3 SE +/- 385170.47, N = 3 SE +/- 93520.98, N = 3 SE +/- 154040.64, N = 3 SE +/- 143183.39, N = 3 SE +/- 116150.13, N = 3 SE +/- 33967.30, N = 3 SE +/- 210051.05, N = 3 SE +/- 110676.68, N = 3 65253280 46994090 23766693 120547124 124216434 102795064 102074873 80669002 73756703 75761184 76837283 70506630 60811617 54004216 41704153 39581259 30255678 21011732 20263553 20759851 1. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++11 -pedantic -O3 -msse -msse3 -mpopcnt -flto
Result Confidence
OpenBenchmarking.org Nodes Per Second, More Is Better Stockfish 9 Total Time EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 20M 40M 60M 80M 100M Min: 64378102 / Avg: 65253280 / Max: 66030738 Min: 46597321 / Avg: 46994090 / Max: 47713189 Min: 23555785 / Avg: 23766693 / Max: 24105063 Min: 118647013 / Avg: 120547124.33 / Max: 122309234 Min: 123082836 / Avg: 124216434.33 / Max: 126263135 Min: 101701713 / Avg: 102795064.33 / Max: 103422629 Min: 101934223 / Avg: 102074873.33 / Max: 102191213 Min: 79334347 / Avg: 80669001.67 / Max: 81790669 Min: 72731896 / Avg: 73756703 / Max: 74397135 Min: 75056297 / Avg: 75761184 / Max: 76677833 Min: 76493767 / Avg: 76837283.33 / Max: 77159659 Min: 69730749 / Avg: 70506629.67 / Max: 71516666 Min: 60059394 / Avg: 60811616.67 / Max: 61331567 Min: 53817366 / Avg: 54004216.33 / Max: 54104972 Min: 41396712 / Avg: 41704153.33 / Max: 41875062 Min: 39360150 / Avg: 39581259.33 / Max: 39849413 Min: 30066185 / Avg: 30255678 / Max: 30466794 Min: 20961304 / Avg: 21011732 / Max: 21076368 Min: 20000037 / Avg: 20263553 / Max: 20678655 Min: 20550233 / Avg: 20759851 / Max: 20926249 1. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++11 -pedantic -O3 -msse -msse3 -mpopcnt -flto
Stress-NG Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Glibc C String Functions EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 1.3M 2.6M 3.9M 5.2M 6.5M SE +/- 32794.20, N = 15 SE +/- 5912.49, N = 3 SE +/- 29450.71, N = 15 SE +/- 62679.17, N = 3 SE +/- 56345.22, N = 11 SE +/- 57546.11, N = 7 SE +/- 2133.81, N = 3 SE +/- 19652.38, N = 3 SE +/- 19986.48, N = 3 SE +/- 22554.93, N = 3 SE +/- 122.33, N = 3 SE +/- 16272.59, N = 3 SE +/- 20548.42, N = 3 SE +/- 39675.39, N = 3 SE +/- 11537.25, N = 3 SE +/- 16555.91, N = 3 SE +/- 9958.10, N = 3 SE +/- 6324.41, N = 3 SE +/- 16159.45, N = 3 SE +/- 5330.86, N = 3 3377578.53 2550932.98 1219801.83 6286052.68 6245020.15 5327299.96 5302329.11 4246337.42 3784170.30 3849752.30 3891895.56 3590511.09 3211403.37 2717558.27 2200579.05 2047387.05 1581427.47 1111691.92 1025514.98 1042243.13 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
Result Confidence
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Glibc C String Functions EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 1.1M 2.2M 3.3M 4.4M 5.5M Min: 3136220.09 / Avg: 3377578.53 / Max: 3500588.06 Min: 2539123.49 / Avg: 2550932.98 / Max: 2557361.85 Min: 943860.7 / Avg: 1219801.83 / Max: 1294121.56 Min: 6222889.08 / Avg: 6286052.68 / Max: 6411409.76 Min: 5736425.83 / Avg: 6245020.15 / Max: 6430106.78 Min: 4997687.02 / Avg: 5327299.96 / Max: 5414332.63 Min: 5298085.1 / Avg: 5302329.11 / Max: 5304839.4 Min: 4207123.49 / Avg: 4246337.42 / Max: 4268257.26 Min: 3762447.59 / Avg: 3784170.3 / Max: 3824091.44 Min: 3804854.57 / Avg: 3849752.3 / Max: 3875985.36 Min: 3891660.95 / Avg: 3891895.56 / Max: 3892072.98 Min: 3561427.51 / Avg: 3590511.09 / Max: 3617702.01 Min: 3170306.61 / Avg: 3211403.37 / Max: 3232024.23 Min: 2652908.17 / Avg: 2717558.27 / Max: 2789729.05 Min: 2184229.94 / Avg: 2200579.05 / Max: 2222855.19 Min: 2014313.38 / Avg: 2047387.05 / Max: 2065300.15 Min: 1562684.88 / Avg: 1581427.47 / Max: 1596632.09 Min: 1099493.97 / Avg: 1111691.92 / Max: 1120689.51 Min: 1008034.14 / Avg: 1025514.98 / Max: 1057796.82 Min: 1034794.36 / Avg: 1042243.13 / Max: 1052573.66 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
BRL-CAD BRL-CAD 7.28.0 is a cross-platform, open-source solid modeling system with built-in benchmark mode. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org VGR Performance Metric, More Is Better BRL-CAD 7.30.8 VGR Performance Metric EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 140K 280K 420K 560K 700K 317830 218441 116858 635485 627953 521818 515657 401222 345756 363429 376690 339539 295105 259728 203319 198305 157819 105887 104822 103756 1. (CXX) g++ options: -std=c++11 -pipe -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -pedantic -rdynamic -lSM -lICE -lGLU -lGL -lGLdispatch -lX11 -lXext -lXrender -lpthread -ldl -luuid -lm
Embree Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer ISPC - Model: Crown EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 11 22 33 44 55 SE +/- 0.0143, N = 3 SE +/- 0.1215, N = 3 SE +/- 0.0320, N = 3 SE +/- 0.0803, N = 3 SE +/- 0.1030, N = 3 SE +/- 0.0207, N = 3 SE +/- 0.0515, N = 3 SE +/- 0.0422, N = 3 SE +/- 0.0427, N = 3 SE +/- 0.0548, N = 3 SE +/- 0.0731, N = 3 SE +/- 0.0422, N = 3 SE +/- 0.0331, N = 3 SE +/- 0.0273, N = 3 SE +/- 0.0400, N = 3 SE +/- 0.0244, N = 3 SE +/- 0.0321, N = 3 SE +/- 0.0216, N = 3 SE +/- 0.0147, N = 3 SE +/- 0.0256, N = 3 26.1195 18.7936 9.3919 46.9800 47.8444 40.4891 40.7103 32.0731 28.7846 30.1246 30.0539 27.6834 24.3318 21.1889 16.7132 15.7939 12.1514 8.4046 8.0257 7.8320
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer ISPC - Model: Crown EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 10 20 30 40 50 Min: 26.1 / Avg: 26.12 / Max: 26.15 Min: 18.63 / Avg: 18.79 / Max: 19.03 Min: 9.35 / Avg: 9.39 / Max: 9.45 Min: 46.89 / Avg: 46.98 / Max: 47.14 Min: 47.71 / Avg: 47.84 / Max: 48.05 Min: 40.46 / Avg: 40.49 / Max: 40.53 Min: 40.64 / Avg: 40.71 / Max: 40.81 Min: 31.99 / Avg: 32.07 / Max: 32.12 Min: 28.71 / Avg: 28.78 / Max: 28.86 Min: 30.02 / Avg: 30.12 / Max: 30.2 Min: 29.97 / Avg: 30.05 / Max: 30.2 Min: 27.6 / Avg: 27.68 / Max: 27.73 Min: 24.3 / Avg: 24.33 / Max: 24.4 Min: 21.14 / Avg: 21.19 / Max: 21.24 Min: 16.63 / Avg: 16.71 / Max: 16.77 Min: 15.75 / Avg: 15.79 / Max: 15.83 Min: 12.09 / Avg: 12.15 / Max: 12.19 Min: 8.36 / Avg: 8.4 / Max: 8.43 Min: 8 / Avg: 8.03 / Max: 8.05 Min: 7.8 / Avg: 7.83 / Max: 7.88
PostgreSQL pgbench This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 250 - Mode: Read Only EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 200K 400K 600K 800K 1000K SE +/- 1237.62, N = 3 SE +/- 247.10, N = 3 SE +/- 314.41, N = 3 SE +/- 3428.94, N = 3 SE +/- 439.48, N = 3 SE +/- 3994.82, N = 3 SE +/- 2858.95, N = 3 SE +/- 163.34, N = 3 SE +/- 1060.79, N = 3 SE +/- 698.73, N = 3 SE +/- 2101.53, N = 3 SE +/- 1300.37, N = 3 SE +/- 1659.30, N = 3 SE +/- 2381.51, N = 3 SE +/- 747.28, N = 3 SE +/- 983.22, N = 3 SE +/- 828.02, N = 3 SE +/- 157.88, N = 3 SE +/- 385.55, N = 3 SE +/- 935.52, N = 3 602322 449472 231128 1043587 1060976 908863 914347 733943 629507 680113 682046 623136 554557 479150 384689 356559 278597 203359 190059 174275 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result Confidence
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 250 - Mode: Read Only EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 200K 400K 600K 800K 1000K Min: 599951.34 / Avg: 602321.79 / Max: 604124.16 Min: 449071.78 / Avg: 449472.37 / Max: 449923.29 Min: 230581.84 / Avg: 231127.53 / Max: 231670.99 Min: 1038320.6 / Avg: 1043587.2 / Max: 1050024.46 Min: 1060178.1 / Avg: 1060975.86 / Max: 1061694.29 Min: 901023.8 / Avg: 908863.23 / Max: 914118.29 Min: 910647.35 / Avg: 914347.4 / Max: 919972.73 Min: 733728.54 / Avg: 733942.94 / Max: 734263.61 Min: 628222.87 / Avg: 629507.42 / Max: 631611.99 Min: 679380.73 / Avg: 680112.82 / Max: 681509.73 Min: 678570.63 / Avg: 682046.07 / Max: 685830.81 Min: 620536.19 / Avg: 623136.4 / Max: 624482.31 Min: 551482.14 / Avg: 554557.27 / Max: 557175.36 Min: 474924.16 / Avg: 479150.29 / Max: 483165.89 Min: 383335.36 / Avg: 384688.76 / Max: 385914.57 Min: 354891.14 / Avg: 356559.36 / Max: 358295.09 Min: 277146.26 / Avg: 278597.12 / Max: 280014 Min: 203075.46 / Avg: 203358.71 / Max: 203621.17 Min: 189289.03 / Avg: 190059.49 / Max: 190471.93 Min: 172542.45 / Avg: 174274.56 / Max: 175753.34 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OSPray Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific visualizations. OSPray builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: XFrog Forest - Renderer: Path Tracer EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 1.3253 2.6506 3.9759 5.3012 6.6265 SE +/- 0.00, N = 8 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 5 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 3.35 2.45 1.21 5.77 5.89 5.06 5.01 3.95 3.60 3.71 3.69 3.35 2.99 2.59 2.10 1.91 1.50 1.12 1.02 0.97
Result Confidence
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: XFrog Forest - Renderer: Path Tracer EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 2 4 6 8 10 Min: 3.34 / Avg: 3.35 / Max: 3.36 Min: 2.44 / Avg: 2.45 / Max: 2.46 Min: 1.21 / Avg: 1.21 / Max: 1.22 Min: 5.75 / Avg: 5.77 / Max: 5.78 Min: 5.88 / Avg: 5.89 / Max: 5.92 Min: 5.05 / Avg: 5.06 / Max: 5.08 Min: 5 / Avg: 5.01 / Max: 5.03 Min: 3.94 / Avg: 3.95 / Max: 3.95 Min: 3.58 / Avg: 3.6 / Max: 3.61 Min: 3.7 / Avg: 3.71 / Max: 3.72 Min: 3.68 / Avg: 3.69 / Max: 3.69 Min: 3.34 / Avg: 3.35 / Max: 3.36 Min: 2.99 / Avg: 2.99 / Max: 3 Min: 2.58 / Avg: 2.59 / Max: 2.59 Min: 2.1 / Avg: 2.1 / Max: 2.1 Min: 1.9 / Avg: 1.91 / Max: 1.91 Min: 1.5 / Avg: 1.5 / Max: 1.51 Min: 1.12 / Avg: 1.12 / Max: 1.12 Min: 1.02 / Avg: 1.02 / Max: 1.02 Min: 0.97 / Avg: 0.97 / Max: 0.98
Embree Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer - Model: Crown EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 11 22 33 44 55 SE +/- 0.0580, N = 3 SE +/- 0.0122, N = 3 SE +/- 0.0274, N = 3 SE +/- 0.2108, N = 3 SE +/- 0.1026, N = 3 SE +/- 0.0818, N = 3 SE +/- 0.0627, N = 3 SE +/- 0.0447, N = 3 SE +/- 0.0542, N = 3 SE +/- 0.0479, N = 3 SE +/- 0.3292, N = 3 SE +/- 0.0437, N = 3 SE +/- 0.0199, N = 3 SE +/- 0.0388, N = 3 SE +/- 0.1564, N = 3 SE +/- 0.0125, N = 3 SE +/- 0.0069, N = 3 SE +/- 0.0426, N = 3 SE +/- 0.0025, N = 3 SE +/- 0.0338, N = 3 27.4844 19.7680 9.8471 48.7032 49.5785 42.4040 42.2680 33.3894 29.8188 31.1622 31.0041 28.6727 25.4338 22.0671 17.3250 16.4495 12.6906 8.8254 8.3957 8.1763
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer - Model: Crown EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 10 20 30 40 50 Min: 27.39 / Avg: 27.48 / Max: 27.59 Min: 19.75 / Avg: 19.77 / Max: 19.79 Min: 9.79 / Avg: 9.85 / Max: 9.89 Min: 48.33 / Avg: 48.7 / Max: 49.06 Min: 49.46 / Avg: 49.58 / Max: 49.78 Min: 42.24 / Avg: 42.4 / Max: 42.51 Min: 42.15 / Avg: 42.27 / Max: 42.37 Min: 33.3 / Avg: 33.39 / Max: 33.44 Min: 29.74 / Avg: 29.82 / Max: 29.92 Min: 31.07 / Avg: 31.16 / Max: 31.23 Min: 30.36 / Avg: 31 / Max: 31.43 Min: 28.6 / Avg: 28.67 / Max: 28.75 Min: 25.4 / Avg: 25.43 / Max: 25.46 Min: 22.01 / Avg: 22.07 / Max: 22.14 Min: 17.03 / Avg: 17.33 / Max: 17.57 Min: 16.43 / Avg: 16.45 / Max: 16.47 Min: 12.68 / Avg: 12.69 / Max: 12.7 Min: 8.76 / Avg: 8.83 / Max: 8.91 Min: 8.39 / Avg: 8.4 / Max: 8.4 Min: 8.11 / Avg: 8.18 / Max: 8.23
Tachyon This is a test of the threaded Tachyon, a parallel ray-tracing system, measuring the time to ray-trace a sample scene. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Tachyon 0.99b6 Total Time EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 30 60 90 120 150 SE +/- 0.13, N = 3 SE +/- 0.07, N = 3 SE +/- 0.08, N = 3 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 SE +/- 0.26, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.53, N = 3 SE +/- 0.04, N = 3 SE +/- 0.14, N = 3 SE +/- 0.09, N = 3 SE +/- 0.21, N = 3 SE +/- 0.18, N = 3 SE +/- 0.36, N = 3 SE +/- 0.53, N = 3 SE +/- 0.07, N = 3 SE +/- 0.12, N = 3 SE +/- 0.23, N = 3 34.73 47.15 95.81 19.56 19.29 23.14 23.06 28.88 32.65 31.64 31.11 34.17 37.90 45.00 55.83 60.12 78.77 109.38 116.86 114.04 1. (CC) gcc options: -m64 -O3 -fomit-frame-pointer -ffast-math -ltachyon -lm -lpthread
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Tachyon 0.99b6 Total Time EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 20 40 60 80 100 Min: 34.46 / Avg: 34.73 / Max: 34.87 Min: 47 / Avg: 47.15 / Max: 47.23 Min: 95.7 / Avg: 95.81 / Max: 95.96 Min: 19.49 / Avg: 19.56 / Max: 19.64 Min: 19.17 / Avg: 19.29 / Max: 19.41 Min: 22.64 / Avg: 23.14 / Max: 23.51 Min: 23.04 / Avg: 23.06 / Max: 23.07 Min: 28.86 / Avg: 28.88 / Max: 28.92 Min: 32.54 / Avg: 32.65 / Max: 32.75 Min: 31.08 / Avg: 31.64 / Max: 32.7 Min: 31.02 / Avg: 31.11 / Max: 31.16 Min: 33.93 / Avg: 34.17 / Max: 34.43 Min: 37.78 / Avg: 37.9 / Max: 38.07 Min: 44.77 / Avg: 45 / Max: 45.43 Min: 55.59 / Avg: 55.83 / Max: 56.17 Min: 59.52 / Avg: 60.12 / Max: 60.75 Min: 77.86 / Avg: 78.77 / Max: 79.69 Min: 109.26 / Avg: 109.38 / Max: 109.51 Min: 116.64 / Avg: 116.86 / Max: 117.07 Min: 113.61 / Avg: 114.04 / Max: 114.42 1. (CC) gcc options: -m64 -O3 -fomit-frame-pointer -ffast-math -ltachyon -lm -lpthread
PostgreSQL pgbench This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 250 - Mode: Read Only - Average Latency EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 0.3229 0.6458 0.9687 1.2916 1.6145 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 SE +/- 0.008, N = 3 0.415 0.557 1.082 0.241 0.237 0.276 0.274 0.341 0.398 0.368 0.367 0.402 0.451 0.522 0.650 0.702 0.898 1.230 1.316 1.435 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 250 - Mode: Read Only - Average Latency EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 2 4 6 8 10 Min: 0.41 / Avg: 0.42 / Max: 0.42 Min: 0.56 / Avg: 0.56 / Max: 0.56 Min: 1.08 / Avg: 1.08 / Max: 1.09 Min: 0.24 / Avg: 0.24 / Max: 0.24 Min: 0.24 / Avg: 0.24 / Max: 0.24 Min: 0.27 / Avg: 0.28 / Max: 0.28 Min: 0.27 / Avg: 0.27 / Max: 0.28 Min: 0.34 / Avg: 0.34 / Max: 0.34 Min: 0.4 / Avg: 0.4 / Max: 0.4 Min: 0.37 / Avg: 0.37 / Max: 0.37 Min: 0.37 / Avg: 0.37 / Max: 0.37 Min: 0.4 / Avg: 0.4 / Max: 0.4 Min: 0.45 / Avg: 0.45 / Max: 0.45 Min: 0.52 / Avg: 0.52 / Max: 0.53 Min: 0.65 / Avg: 0.65 / Max: 0.65 Min: 0.7 / Avg: 0.7 / Max: 0.71 Min: 0.89 / Avg: 0.9 / Max: 0.9 Min: 1.23 / Avg: 1.23 / Max: 1.23 Min: 1.31 / Avg: 1.32 / Max: 1.32 Min: 1.42 / Avg: 1.44 / Max: 1.45 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OSPray Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific visualizations. OSPray builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: NASA Streamlines - Renderer: Path Tracer EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 4 8 12 16 20 SE +/- 0.03, N = 3 SE +/- 0.01, N = 4 SE +/- 0.03, N = 3 SE +/- 0.09, N = 3 SE +/- 0.09, N = 3 SE +/- 0.07, N = 3 SE +/- 0.00, N = 15 SE +/- 0.04, N = 3 SE +/- 0.00, N = 12 SE +/- 0.03, N = 4 SE +/- 0.04, N = 3 SE +/- 0.08, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 5 SE +/- 0.03, N = 3 9.46 6.98 3.48 16.22 16.48 14.15 13.89 11.03 10.10 10.39 10.35 9.47 8.52 7.37 5.99 5.38 4.27 3.14 2.91 2.77
Result Confidence
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: NASA Streamlines - Renderer: Path Tracer EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 4 8 12 16 20 Min: 9.43 / Avg: 9.46 / Max: 9.52 Min: 6.94 / Avg: 6.98 / Max: 6.99 Min: 3.44 / Avg: 3.48 / Max: 3.55 Min: 16.13 / Avg: 16.22 / Max: 16.39 Min: 16.39 / Avg: 16.48 / Max: 16.67 Min: 14.08 / Avg: 14.15 / Max: 14.29 Min: 13.89 / Avg: 13.89 / Max: 13.89 Min: 10.99 / Avg: 11.03 / Max: 11.11 Min: 10.1 / Avg: 10.1 / Max: 10.1 Min: 10.31 / Avg: 10.39 / Max: 10.42 Min: 10.31 / Avg: 10.35 / Max: 10.42 Min: 9.35 / Avg: 9.47 / Max: 9.62 Min: 8.47 / Avg: 8.52 / Max: 8.62 Min: 7.35 / Avg: 7.37 / Max: 7.41 Min: 5.95 / Avg: 5.99 / Max: 6.02 Min: 5.35 / Avg: 5.38 / Max: 5.41 Min: 4.26 / Avg: 4.27 / Max: 4.27 Min: 3.13 / Avg: 3.14 / Max: 3.14 Min: 2.91 / Avg: 2.91 / Max: 2.92 Min: 2.74 / Avg: 2.77 / Max: 2.82
Result
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: XFrog Forest - Renderer: SciVis EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.04, N = 3 SE +/- 0.00, N = 13 SE +/- 0.00, N = 10 SE +/- 0.00, N = 12 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 15 SE +/- 0.00, N = 12 SE +/- 0.01, N = 5 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 5 SE +/- 0.00, N = 3 SE +/- 0.00, N = 5 SE +/- 0.01, N = 3 6.30 4.57 2.29 10.79 10.99 9.43 9.35 7.44 6.70 6.94 6.90 6.29 5.62 4.87 3.93 3.59 2.84 2.07 1.92 1.85
Result Confidence
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: XFrog Forest - Renderer: SciVis EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 Min: 6.29 / Avg: 6.3 / Max: 6.33 Min: 4.57 / Avg: 4.57 / Max: 4.59 Min: 2.28 / Avg: 2.29 / Max: 2.3 Min: 10.75 / Avg: 10.79 / Max: 10.87 Min: 10.99 / Avg: 10.99 / Max: 10.99 Min: 9.43 / Avg: 9.43 / Max: 9.43 Min: 9.35 / Avg: 9.35 / Max: 9.35 Min: 7.41 / Avg: 7.44 / Max: 7.46 Min: 6.67 / Avg: 6.7 / Max: 6.71 Min: 6.94 / Avg: 6.94 / Max: 6.94 Min: 6.9 / Avg: 6.9 / Max: 6.9 Min: 6.29 / Avg: 6.29 / Max: 6.29 Min: 5.62 / Avg: 5.62 / Max: 5.65 Min: 4.85 / Avg: 4.87 / Max: 4.88 Min: 3.92 / Avg: 3.93 / Max: 3.94 Min: 3.58 / Avg: 3.59 / Max: 3.6 Min: 2.84 / Avg: 2.84 / Max: 2.85 Min: 2.07 / Avg: 2.07 / Max: 2.07 Min: 1.92 / Avg: 1.92 / Max: 1.93 Min: 1.84 / Avg: 1.85 / Max: 1.86
OpenVINO
Result
OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Face Detection 0106 FP16 - Device: CPU EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 5.25 3.88 2.01 8.24 9.08 7.67 7.36 6.09 5.50 5.70 5.68 5.20 4.57 3.99 3.06 2.98 2.31 1.64 1.53 1.54 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
Result Confidence
OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Face Detection 0106 FP16 - Device: CPU EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 Min: 5.23 / Avg: 5.25 / Max: 5.27 Min: 3.85 / Avg: 3.88 / Max: 3.91 Min: 2 / Avg: 2.01 / Max: 2.02 Min: 8.21 / Avg: 8.24 / Max: 8.26 Min: 9.05 / Avg: 9.08 / Max: 9.1 Min: 7.61 / Avg: 7.67 / Max: 7.7 Min: 7.35 / Avg: 7.36 / Max: 7.36 Min: 6 / Avg: 6.09 / Max: 6.14 Min: 5.49 / Avg: 5.5 / Max: 5.52 Min: 5.67 / Avg: 5.7 / Max: 5.72 Min: 5.66 / Avg: 5.68 / Max: 5.69 Min: 5.2 / Avg: 5.2 / Max: 5.21 Min: 4.56 / Avg: 4.57 / Max: 4.58 Min: 3.98 / Avg: 3.99 / Max: 4.01 Min: 3.05 / Avg: 3.06 / Max: 3.08 Min: 2.97 / Avg: 2.98 / Max: 2.98 Min: 2.3 / Avg: 2.31 / Max: 2.31 Min: 1.64 / Avg: 1.64 / Max: 1.65 Min: 1.53 / Avg: 1.53 / Max: 1.54 Min: 1.52 / Avg: 1.54 / Max: 1.55 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
Result
OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Face Detection 0106 FP32 - Device: CPU EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 5.26 3.88 1.99 8.27 9.06 7.68 7.37 6.07 5.50 5.68 5.69 5.21 4.57 3.98 3.06 2.99 2.31 1.64 1.55 1.53 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
Result Confidence
OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Face Detection 0106 FP32 - Device: CPU EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 Min: 5.25 / Avg: 5.26 / Max: 5.26 Min: 3.87 / Avg: 3.88 / Max: 3.88 Min: 1.99 / Avg: 1.99 / Max: 2 Min: 8.26 / Avg: 8.27 / Max: 8.28 Min: 9.02 / Avg: 9.06 / Max: 9.09 Min: 7.65 / Avg: 7.68 / Max: 7.73 Min: 7.35 / Avg: 7.37 / Max: 7.39 Min: 5.97 / Avg: 6.07 / Max: 6.14 Min: 5.49 / Avg: 5.5 / Max: 5.51 Min: 5.67 / Avg: 5.68 / Max: 5.69 Min: 5.68 / Avg: 5.69 / Max: 5.7 Min: 5.2 / Avg: 5.21 / Max: 5.22 Min: 4.55 / Avg: 4.57 / Max: 4.58 Min: 3.97 / Avg: 3.98 / Max: 3.99 Min: 3.05 / Avg: 3.06 / Max: 3.07 Min: 2.98 / Avg: 2.99 / Max: 3 Min: 2.3 / Avg: 2.31 / Max: 2.32 Min: 1.64 / Avg: 1.64 / Max: 1.64 Min: 1.54 / Avg: 1.55 / Max: 1.56 Min: 1.53 / Avg: 1.53 / Max: 1.54 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
NAMD NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org days/ns, Fewer Is Better NAMD 2.14 ATPase Simulation - 327,506 Atoms EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 0.6477 1.2954 1.9431 2.5908 3.2385 SE +/- 0.00081, N = 3 SE +/- 0.00329, N = 3 SE +/- 0.01056, N = 3 SE +/- 0.00359, N = 3 SE +/- 0.00064, N = 3 SE +/- 0.00057, N = 3 SE +/- 0.00009, N = 3 SE +/- 0.00075, N = 3 SE +/- 0.00083, N = 3 SE +/- 0.00056, N = 3 SE +/- 0.00107, N = 3 SE +/- 0.00089, N = 3 SE +/- 0.00035, N = 3 SE +/- 0.00570, N = 3 SE +/- 0.00046, N = 3 SE +/- 0.00131, N = 3 SE +/- 0.00737, N = 3 SE +/- 0.00138, N = 3 SE +/- 0.01336, N = 3 SE +/- 0.00153, N = 3 0.85771 1.15425 2.30072 0.51892 0.49044 0.57168 0.57645 0.71677 0.79052 0.77595 0.77627 0.85255 0.93786 1.15092 1.34992 1.47205 1.94316 2.54937 2.87872 2.73186
Result Confidence
OpenBenchmarking.org days/ns, Fewer Is Better NAMD 2.14 ATPase Simulation - 327,506 Atoms EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 2 4 6 8 10 Min: 0.86 / Avg: 0.86 / Max: 0.86 Min: 1.15 / Avg: 1.15 / Max: 1.16 Min: 2.28 / Avg: 2.3 / Max: 2.32 Min: 0.51 / Avg: 0.52 / Max: 0.53 Min: 0.49 / Avg: 0.49 / Max: 0.49 Min: 0.57 / Avg: 0.57 / Max: 0.57 Min: 0.58 / Avg: 0.58 / Max: 0.58 Min: 0.72 / Avg: 0.72 / Max: 0.72 Min: 0.79 / Avg: 0.79 / Max: 0.79 Min: 0.77 / Avg: 0.78 / Max: 0.78 Min: 0.77 / Avg: 0.78 / Max: 0.78 Min: 0.85 / Avg: 0.85 / Max: 0.85 Min: 0.94 / Avg: 0.94 / Max: 0.94 Min: 1.14 / Avg: 1.15 / Max: 1.16 Min: 1.35 / Avg: 1.35 / Max: 1.35 Min: 1.47 / Avg: 1.47 / Max: 1.47 Min: 1.94 / Avg: 1.94 / Max: 1.96 Min: 2.55 / Avg: 2.55 / Max: 2.55 Min: 2.85 / Avg: 2.88 / Max: 2.89 Min: 2.73 / Avg: 2.73 / Max: 2.73
Facebook RocksDB This is a benchmark of Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Op/s, More Is Better Facebook RocksDB 6.3.6 Test: Read While Writing EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 2M 4M 6M 8M 10M SE +/- 11731.10, N = 3 SE +/- 16794.20, N = 3 SE +/- 18877.88, N = 3 SE +/- 35636.88, N = 3 SE +/- 22170.26, N = 3 SE +/- 29508.17, N = 3 SE +/- 60894.61, N = 3 SE +/- 29761.67, N = 3 SE +/- 54967.27, N = 3 SE +/- 5897.86, N = 3 SE +/- 31783.53, N = 3 SE +/- 26369.03, N = 3 SE +/- 16048.71, N = 3 SE +/- 24151.11, N = 3 SE +/- 10558.02, N = 3 SE +/- 45029.31, N = 3 SE +/- 28091.78, N = 4 SE +/- 5354.73, N = 3 SE +/- 1671.95, N = 3 SE +/- 9486.66, N = 3 4270655 2919905 1518866 7860385 7904493 6670700 6949809 5472534 4999806 5195469 5183448 5078250 4269210 3871501 2856386 2878890 2181413 1416897 1423609 1349492 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
Result Confidence
OpenBenchmarking.org Op/s, More Is Better Facebook RocksDB 6.3.6 Test: Read While Writing EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 1.4M 2.8M 4.2M 5.6M 7M Min: 4247235 / Avg: 4270655 / Max: 4283583 Min: 2901038 / Avg: 2919904.67 / Max: 2953404 Min: 1490063 / Avg: 1518866.33 / Max: 1554408 Min: 7823749 / Avg: 7860384.67 / Max: 7931649 Min: 7865169 / Avg: 7904493 / Max: 7941897 Min: 6631953 / Avg: 6670700.33 / Max: 6728625 Min: 6888150 / Avg: 6949809 / Max: 7071595 Min: 5416475 / Avg: 5472534 / Max: 5517893 Min: 4910935 / Avg: 4999805.67 / Max: 5100283 Min: 5184385 / Avg: 5195468.67 / Max: 5204506 Min: 5129861 / Avg: 5183447.67 / Max: 5239854 Min: 5049962 / Avg: 5078249.67 / Max: 5130940 Min: 4237623 / Avg: 4269210 / Max: 4289941 Min: 3834057 / Avg: 3871500.67 / Max: 3916648 Min: 2838430 / Avg: 2856386 / Max: 2874987 Min: 2816724 / Avg: 2878890 / Max: 2966404 Min: 2146570 / Avg: 2181413 / Max: 2264616 Min: 1406942 / Avg: 1416897 / Max: 1425294 Min: 1420426 / Avg: 1423609 / Max: 1426088 Min: 1336295 / Avg: 1349492 / Max: 1367896 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
OSPray Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific visualizations. OSPray builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: Magnetic Reconnection - Renderer: SciVis EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 9 18 27 36 45 SE +/- 0.000, N = 15 SE +/- 0.000, N = 3 SE +/- 0.009, N = 7 SE +/- 0.000, N = 12 SE +/- 0.000, N = 12 SE +/- 0.000, N = 12 SE +/- 0.194, N = 3 SE +/- 0.000, N = 15 SE +/- 0.000, N = 15 SE +/- 0.000, N = 12 SE +/- 0.000, N = 12 SE +/- 0.112, N = 3 SE +/- 0.000, N = 12 SE +/- 0.062, N = 3 SE +/- 0.000, N = 12 SE +/- 0.009, N = 12 SE +/- 0.000, N = 12 SE +/- 0.000, N = 15 22.220 15.625 8.060 40.000 40.000 34.480 34.480 27.030 24.200 25.640 25.640 23.810 20.830 18.410 14.080 13.580 10.200 7.340 6.850 6.900
Result Confidence
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: Magnetic Reconnection - Renderer: SciVis EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 8 16 24 32 40 Min: 22.22 / Avg: 22.22 / Max: 22.22 Min: 15.63 / Avg: 15.63 / Max: 15.63 Min: 8 / Avg: 8.06 / Max: 8.06 Min: 34.48 / Avg: 34.48 / Max: 34.48 Min: 34.48 / Avg: 34.48 / Max: 34.48 Min: 27.03 / Avg: 27.03 / Max: 27.03 Min: 23.81 / Avg: 24.2 / Max: 24.39 Min: 25.64 / Avg: 25.64 / Max: 25.64 Min: 25.64 / Avg: 25.64 / Max: 25.64 Min: 23.81 / Avg: 23.81 / Max: 23.81 Min: 20.83 / Avg: 20.83 / Max: 20.83 Min: 18.18 / Avg: 18.41 / Max: 18.52 Min: 14.08 / Avg: 14.08 / Max: 14.08 Min: 13.51 / Avg: 13.58 / Max: 13.7 Min: 10.2 / Avg: 10.2 / Max: 10.2 Min: 7.25 / Avg: 7.34 / Max: 7.35 Min: 6.85 / Avg: 6.85 / Max: 6.85 Min: 6.9 / Avg: 6.9 / Max: 6.9
ASTC Encoder ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better ASTC Encoder 2.0 Preset: Exhaustive EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 60 120 180 240 300 SE +/- 0.11, N = 3 SE +/- 0.09, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 81.62 110.04 216.15 45.57 45.43 53.49 53.83 67.63 75.18 72.85 72.87 79.73 88.68 103.23 128.23 138.76 176.76 248.28 263.95 259.91 1. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better ASTC Encoder 2.0 Preset: Exhaustive EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 50 100 150 200 250 Min: 81.43 / Avg: 81.62 / Max: 81.8 Min: 109.88 / Avg: 110.04 / Max: 110.19 Min: 216.04 / Avg: 216.15 / Max: 216.26 Min: 45.55 / Avg: 45.57 / Max: 45.6 Min: 45.41 / Avg: 45.43 / Max: 45.46 Min: 53.48 / Avg: 53.49 / Max: 53.5 Min: 53.81 / Avg: 53.83 / Max: 53.85 Min: 67.59 / Avg: 67.63 / Max: 67.66 Min: 75.11 / Avg: 75.18 / Max: 75.24 Min: 72.69 / Avg: 72.85 / Max: 72.94 Min: 72.83 / Avg: 72.87 / Max: 72.93 Min: 79.71 / Avg: 79.73 / Max: 79.77 Min: 88.62 / Avg: 88.68 / Max: 88.73 Min: 103.17 / Avg: 103.23 / Max: 103.27 Min: 128.18 / Avg: 128.23 / Max: 128.29 Min: 138.68 / Avg: 138.76 / Max: 138.85 Min: 176.66 / Avg: 176.76 / Max: 176.83 Min: 248.24 / Avg: 248.28 / Max: 248.3 Min: 263.92 / Avg: 263.95 / Max: 263.99 Min: 259.78 / Avg: 259.91 / Max: 259.98 1. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
Facebook RocksDB This is a benchmark of Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Op/s, More Is Better Facebook RocksDB 6.3.6 Test: Random Read EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 40M 80M 120M 160M 200M SE +/- 214890.39, N = 3 SE +/- 1093756.73, N = 4 SE +/- 621658.12, N = 3 SE +/- 1899653.41, N = 15 SE +/- 2049696.22, N = 15 SE +/- 2240110.26, N = 5 SE +/- 1559101.58, N = 15 SE +/- 526030.10, N = 3 SE +/- 358368.47, N = 3 SE +/- 1040006.53, N = 15 SE +/- 1276317.53, N = 7 SE +/- 1122561.19, N = 15 SE +/- 860434.27, N = 15 SE +/- 733157.90, N = 15 SE +/- 134953.06, N = 3 SE +/- 781709.19, N = 5 SE +/- 402653.87, N = 15 SE +/- 573712.98, N = 3 SE +/- 326575.75, N = 3 SE +/- 227455.75, N = 3 118182176 80061560 40658633 192725013 192210231 167150946 163000355 133751245 119286292 120922766 121673641 108651965 98307816 84742534 68867484 63230724 49276720 35301607 33393407 33751178 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
Result Confidence
OpenBenchmarking.org Op/s, More Is Better Facebook RocksDB 6.3.6 Test: Random Read EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 30M 60M 90M 120M 150M Min: 117754545 / Avg: 118182175.67 / Max: 118433175 Min: 77755597 / Avg: 80061560.25 / Max: 82403261 Min: 39547827 / Avg: 40658633.33 / Max: 41697729 Min: 184745570 / Avg: 192725013.2 / Max: 201658187 Min: 183285104 / Avg: 192210230.73 / Max: 202087778 Min: 158235179 / Avg: 167150946.2 / Max: 170160556 Min: 155397851 / Avg: 163000355.4 / Max: 170264486 Min: 132715309 / Avg: 133751244.67 / Max: 134428118 Min: 118570199 / Avg: 119286292.33 / Max: 119670638 Min: 113942640 / Avg: 120922766.13 / Max: 124587119 Min: 114249697 / Avg: 121673641.14 / Max: 124512407 Min: 103874336 / Avg: 108651964.8 / Max: 114145821 Min: 93719478 / Avg: 98307816.2 / Max: 102407832 Min: 80711238 / Avg: 84742534.27 / Max: 87776559 Min: 68715282 / Avg: 68867484 / Max: 69136621 Min: 60131659 / Avg: 63230724 / Max: 64253059 Min: 47356643 / Avg: 49276720.13 / Max: 51259025 Min: 34154208 / Avg: 35301607 / Max: 35882118 Min: 32741134 / Avg: 33393407 / Max: 33748871 Min: 33435197 / Avg: 33751178.33 / Max: 34192586 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
OSPray Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific visualizations. OSPray builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: San Miguel - Renderer: SciVis EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 13 26 39 52 65 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 SE +/- 0.00, N = 15 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 SE +/- 0.00, N = 15 SE +/- 0.00, N = 12 SE +/- 0.15, N = 3 SE +/- 0.13, N = 3 SE +/- 0.06, N = 4 SE +/- 0.00, N = 13 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 33.33 24.39 12.20 55.56 58.82 50.00 50.00 40.00 35.71 37.04 37.04 33.33 30.30 26.32 21.13 19.48 15.21 10.99 10.20 10.31
Result Confidence
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: San Miguel - Renderer: SciVis EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 12 24 36 48 60 Min: 33.33 / Avg: 33.33 / Max: 33.33 Min: 24.39 / Avg: 24.39 / Max: 24.39 Min: 12.2 / Avg: 12.2 / Max: 12.2 Min: 55.56 / Avg: 55.56 / Max: 55.56 Min: 58.82 / Avg: 58.82 / Max: 58.82 Min: 35.71 / Avg: 35.71 / Max: 35.71 Min: 37.04 / Avg: 37.04 / Max: 37.04 Min: 37.04 / Avg: 37.04 / Max: 37.04 Min: 33.33 / Avg: 33.33 / Max: 33.33 Min: 30.3 / Avg: 30.3 / Max: 30.3 Min: 26.32 / Avg: 26.32 / Max: 26.32 Min: 20.83 / Avg: 21.13 / Max: 21.28 Min: 19.23 / Avg: 19.48 / Max: 19.61 Min: 15.15 / Avg: 15.21 / Max: 15.38 Min: 10.99 / Avg: 10.99 / Max: 10.99 Min: 10.2 / Avg: 10.2 / Max: 10.2 Min: 10.31 / Avg: 10.31 / Max: 10.31
Blender Blender is an open-source 3D creation software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via OpenCL or CUDA is supported. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Barbershop - Compute: CPU-Only EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 200 400 600 800 1000 SE +/- 0.63, N = 3 SE +/- 0.39, N = 3 SE +/- 0.23, N = 3 SE +/- 0.28, N = 3 SE +/- 0.29, N = 3 SE +/- 0.42, N = 3 SE +/- 0.44, N = 3 SE +/- 0.42, N = 3 SE +/- 0.15, N = 3 SE +/- 0.30, N = 3 SE +/- 0.17, N = 3 SE +/- 0.55, N = 3 SE +/- 0.35, N = 3 SE +/- 0.08, N = 3 SE +/- 0.21, N = 3 SE +/- 0.31, N = 3 SE +/- 0.91, N = 3 SE +/- 0.54, N = 3 SE +/- 1.81, N = 3 SE +/- 1.18, N = 3 289.07 382.66 740.99 165.38 165.16 191.75 190.72 237.28 261.47 251.80 255.93 271.92 308.59 355.45 441.88 474.46 603.44 839.88 901.38 949.06
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Barbershop - Compute: CPU-Only EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 170 340 510 680 850 Min: 287.84 / Avg: 289.07 / Max: 289.95 Min: 381.89 / Avg: 382.66 / Max: 383.15 Min: 740.6 / Avg: 740.99 / Max: 741.39 Min: 164.83 / Avg: 165.38 / Max: 165.73 Min: 164.79 / Avg: 165.16 / Max: 165.74 Min: 191.15 / Avg: 191.75 / Max: 192.56 Min: 190.15 / Avg: 190.72 / Max: 191.59 Min: 236.49 / Avg: 237.28 / Max: 237.91 Min: 261.18 / Avg: 261.47 / Max: 261.64 Min: 251.25 / Avg: 251.8 / Max: 252.27 Min: 255.71 / Avg: 255.93 / Max: 256.26 Min: 270.81 / Avg: 271.92 / Max: 272.54 Min: 307.98 / Avg: 308.59 / Max: 309.18 Min: 355.37 / Avg: 355.45 / Max: 355.61 Min: 441.47 / Avg: 441.88 / Max: 442.18 Min: 473.99 / Avg: 474.46 / Max: 475.04 Min: 601.9 / Avg: 603.44 / Max: 605.04 Min: 839.19 / Avg: 839.88 / Max: 840.95 Min: 899.18 / Avg: 901.38 / Max: 904.98 Min: 947.29 / Avg: 949.06 / Max: 951.3
Chaos Group V-RAY This is a test of Chaos Group's V-RAY benchmark. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Ksamples, More Is Better Chaos Group V-RAY 4.10.07 Mode: CPU EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 13K 26K 39K 52K 65K SE +/- 115.54, N = 3 SE +/- 51.15, N = 3 SE +/- 80.57, N = 3 SE +/- 257.77, N = 3 SE +/- 185.27, N = 3 SE +/- 184.21, N = 3 SE +/- 163.42, N = 3 SE +/- 463.85, N = 3 SE +/- 598.50, N = 3 SE +/- 400.69, N = 3 SE +/- 449.08, N = 3 SE +/- 300.18, N = 3 SE +/- 327.00, N = 3 SE +/- 246.39, N = 3 SE +/- 78.28, N = 3 SE +/- 45.83, N = 3 SE +/- 71.70, N = 3 SE +/- 70.89, N = 3 SE +/- 33.32, N = 3 SE +/- 33.59, N = 3 34247 25542 13123 57889 59016 50184 51417 38642 34775 36297 35209 33553 32046 27814 21913 20890 15990 11724 11114 10313
Result Confidence
OpenBenchmarking.org Ksamples, More Is Better Chaos Group V-RAY 4.10.07 Mode: CPU EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 10K 20K 30K 40K 50K Min: 34016 / Avg: 34246.67 / Max: 34374 Min: 25445 / Avg: 25541.67 / Max: 25619 Min: 12994 / Avg: 13122.67 / Max: 13271 Min: 57376 / Avg: 57888.67 / Max: 58192 Min: 58749 / Avg: 59016 / Max: 59372 Min: 49929 / Avg: 50184.33 / Max: 50542 Min: 51109 / Avg: 51416.67 / Max: 51666 Min: 37769 / Avg: 38642.33 / Max: 39350 Min: 33578 / Avg: 34775 / Max: 35376 Min: 35508 / Avg: 36297 / Max: 36813 Min: 34745 / Avg: 35209 / Max: 36107 Min: 32978 / Avg: 33553 / Max: 33990 Min: 31560 / Avg: 32046 / Max: 32668 Min: 27433 / Avg: 27813.67 / Max: 28275 Min: 21758 / Avg: 21913.33 / Max: 22008 Min: 20818 / Avg: 20889.67 / Max: 20975 Min: 15849 / Avg: 15990.33 / Max: 16082 Min: 11589 / Avg: 11724 / Max: 11829 Min: 11048 / Avg: 11114 / Max: 11155 Min: 10258 / Avg: 10313.33 / Max: 10374
7-Zip Compression This is a test of 7-Zip using p7zip with its integrated benchmark feature or upstream 7-Zip for the Windows x64 build. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org MIPS, More Is Better 7-Zip Compression 16.02 Compress Speed Test EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 60K 120K 180K 240K 300K SE +/- 404.23, N = 3 SE +/- 949.16, N = 3 SE +/- 309.32, N = 3 SE +/- 715.50, N = 3 SE +/- 456.77, N = 3 SE +/- 769.78, N = 3 SE +/- 439.74, N = 3 SE +/- 398.90, N = 3 SE +/- 133.83, N = 3 SE +/- 212.89, N = 3 SE +/- 246.91, N = 3 SE +/- 558.60, N = 3 SE +/- 595.37, N = 3 SE +/- 65.73, N = 3 SE +/- 425.32, N = 3 SE +/- 175.91, N = 3 SE +/- 210.33, N = 3 SE +/- 259.03, N = 3 SE +/- 82.45, N = 3 SE +/- 167.08, N = 3 149916 109514 55476 257597 262783 227772 224914 175716 167374 169995 169977 158903 138561 125699 95496 91147 68876 49291 47057 46061 1. (CXX) g++ options: -pipe -lpthread
Result Confidence
OpenBenchmarking.org MIPS, More Is Better 7-Zip Compression 16.02 Compress Speed Test EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 50K 100K 150K 200K 250K Min: 149146 / Avg: 149916.33 / Max: 150514 Min: 107957 / Avg: 109514 / Max: 111233 Min: 54860 / Avg: 55475.67 / Max: 55836 Min: 256297 / Avg: 257597 / Max: 258765 Min: 262092 / Avg: 262783 / Max: 263646 Min: 226262 / Avg: 227771.67 / Max: 228788 Min: 224366 / Avg: 224914.33 / Max: 225784 Min: 174939 / Avg: 175715.67 / Max: 176262 Min: 167106 / Avg: 167373.67 / Max: 167508 Min: 169586 / Avg: 169995 / Max: 170302 Min: 169492 / Avg: 169976.67 / Max: 170301 Min: 157932 / Avg: 158902.67 / Max: 159867 Min: 137395 / Avg: 138560.67 / Max: 139354 Min: 125568 / Avg: 125699 / Max: 125774 Min: 94818 / Avg: 95496.33 / Max: 96280 Min: 90955 / Avg: 91146.67 / Max: 91498 Min: 68587 / Avg: 68875.67 / Max: 69285 Min: 48889 / Avg: 49291 / Max: 49775 Min: 46927 / Avg: 47057.33 / Max: 47210 Min: 45763 / Avg: 46060.67 / Max: 46341 1. (CXX) g++ options: -pipe -lpthread
Embree Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer - Model: Asian Dragon EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 12 24 36 48 60 SE +/- 0.1842, N = 3 SE +/- 0.1347, N = 3 SE +/- 0.0285, N = 3 SE +/- 0.0882, N = 3 SE +/- 0.3470, N = 3 SE +/- 0.3010, N = 3 SE +/- 0.4040, N = 3 SE +/- 0.2618, N = 3 SE +/- 0.1971, N = 3 SE +/- 0.2760, N = 3 SE +/- 0.3034, N = 3 SE +/- 0.0606, N = 3 SE +/- 0.2494, N = 3 SE +/- 0.2541, N = 3 SE +/- 0.1895, N = 3 SE +/- 0.0341, N = 3 SE +/- 0.1343, N = 3 SE +/- 0.0102, N = 3 SE +/- 0.0267, N = 3 SE +/- 0.0813, N = 3 30.1365 21.0131 10.5746 52.8060 53.2204 47.4509 46.9637 37.5947 33.3760 35.6826 35.5207 33.0034 28.4980 25.3374 19.2865 18.6826 14.0979 9.7040 9.4305 9.3351
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer - Model: Asian Dragon EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 11 22 33 44 55 Min: 29.94 / Avg: 30.14 / Max: 30.5 Min: 20.82 / Avg: 21.01 / Max: 21.27 Min: 10.52 / Avg: 10.57 / Max: 10.61 Min: 52.67 / Avg: 52.81 / Max: 52.97 Min: 52.55 / Avg: 53.22 / Max: 53.72 Min: 47.13 / Avg: 47.45 / Max: 48.05 Min: 46.17 / Avg: 46.96 / Max: 47.48 Min: 37.26 / Avg: 37.59 / Max: 38.11 Min: 33.1 / Avg: 33.38 / Max: 33.76 Min: 35.13 / Avg: 35.68 / Max: 36 Min: 35.07 / Avg: 35.52 / Max: 36.1 Min: 32.88 / Avg: 33 / Max: 33.08 Min: 28.2 / Avg: 28.5 / Max: 28.99 Min: 25.05 / Avg: 25.34 / Max: 25.84 Min: 19.05 / Avg: 19.29 / Max: 19.66 Min: 18.62 / Avg: 18.68 / Max: 18.73 Min: 13.94 / Avg: 14.1 / Max: 14.37 Min: 9.69 / Avg: 9.7 / Max: 9.72 Min: 9.38 / Avg: 9.43 / Max: 9.46 Min: 9.19 / Avg: 9.34 / Max: 9.48
Stress-NG Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Matrix Math EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 40K 80K 120K 160K 200K SE +/- 205.68, N = 3 SE +/- 311.46, N = 3 SE +/- 88.23, N = 3 SE +/- 430.58, N = 3 SE +/- 261.22, N = 3 SE +/- 471.06, N = 3 SE +/- 811.81, N = 3 SE +/- 535.34, N = 3 SE +/- 392.03, N = 3 SE +/- 1080.49, N = 3 SE +/- 354.61, N = 3 SE +/- 135.20, N = 3 SE +/- 155.82, N = 3 SE +/- 200.02, N = 3 SE +/- 159.97, N = 3 SE +/- 66.43, N = 3 SE +/- 56.60, N = 3 SE +/- 148.50, N = 3 SE +/- 70.70, N = 3 SE +/- 39.70, N = 3 101096.15 75406.32 38372.40 178073.14 177538.11 151931.12 149827.50 120546.41 108030.59 110937.29 111016.59 101602.76 91534.93 79169.26 63181.99 58509.29 46353.74 33377.45 31420.05 31460.75 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
Result Confidence
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Matrix Math EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 30K 60K 90K 120K 150K Min: 100694.73 / Avg: 101096.15 / Max: 101374.73 Min: 75087.8 / Avg: 75406.32 / Max: 76029.19 Min: 38216.05 / Avg: 38372.4 / Max: 38521.42 Min: 177510.03 / Avg: 178073.14 / Max: 178918.95 Min: 177029.44 / Avg: 177538.11 / Max: 177895.63 Min: 151052.76 / Avg: 151931.12 / Max: 152665.37 Min: 148869.56 / Avg: 149827.5 / Max: 151441.76 Min: 119657.67 / Avg: 120546.41 / Max: 121507.85 Min: 107251.11 / Avg: 108030.59 / Max: 108493.62 Min: 109225.78 / Avg: 110937.29 / Max: 112935.61 Min: 110444.66 / Avg: 111016.59 / Max: 111665.76 Min: 101390.5 / Avg: 101602.76 / Max: 101853.95 Min: 91331.78 / Avg: 91534.93 / Max: 91841.16 Min: 78895.81 / Avg: 79169.26 / Max: 79558.86 Min: 62930.24 / Avg: 63181.99 / Max: 63478.86 Min: 58381.23 / Avg: 58509.29 / Max: 58603.95 Min: 46240.55 / Avg: 46353.74 / Max: 46410.96 Min: 33134.13 / Avg: 33377.45 / Max: 33646.61 Min: 31287.32 / Avg: 31420.05 / Max: 31528.62 Min: 31408.37 / Avg: 31460.75 / Max: 31538.63 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
Embree Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer ISPC - Model: Asian Dragon EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 12 24 36 48 60 SE +/- 0.2780, N = 3 SE +/- 0.2322, N = 3 SE +/- 0.0158, N = 3 SE +/- 0.0763, N = 3 SE +/- 0.0362, N = 3 SE +/- 0.0717, N = 3 SE +/- 0.3207, N = 3 SE +/- 0.2017, N = 3 SE +/- 0.3156, N = 3 SE +/- 0.1490, N = 3 SE +/- 0.3906, N = 3 SE +/- 0.2284, N = 3 SE +/- 0.2726, N = 3 SE +/- 0.1182, N = 3 SE +/- 0.0257, N = 3 SE +/- 0.0207, N = 3 SE +/- 0.0506, N = 3 SE +/- 0.0609, N = 3 SE +/- 0.0244, N = 3 SE +/- 0.0263, N = 3 30.0839 21.3898 10.5068 51.6425 52.1229 47.4349 46.8396 36.9981 33.7127 35.0480 35.0164 33.2007 28.7777 25.2623 19.1386 18.4925 14.0144 9.6834 9.3926 9.2306
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer ISPC - Model: Asian Dragon EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 10 20 30 40 50 Min: 29.72 / Avg: 30.08 / Max: 30.63 Min: 20.93 / Avg: 21.39 / Max: 21.64 Min: 10.48 / Avg: 10.51 / Max: 10.53 Min: 51.55 / Avg: 51.64 / Max: 51.79 Min: 52.07 / Avg: 52.12 / Max: 52.19 Min: 47.31 / Avg: 47.43 / Max: 47.56 Min: 46.3 / Avg: 46.84 / Max: 47.41 Min: 36.6 / Avg: 37 / Max: 37.24 Min: 33.09 / Avg: 33.71 / Max: 34.1 Min: 34.78 / Avg: 35.05 / Max: 35.3 Min: 34.61 / Avg: 35.02 / Max: 35.8 Min: 32.78 / Avg: 33.2 / Max: 33.56 Min: 28.23 / Avg: 28.78 / Max: 29.09 Min: 25.06 / Avg: 25.26 / Max: 25.47 Min: 19.1 / Avg: 19.14 / Max: 19.19 Min: 18.47 / Avg: 18.49 / Max: 18.53 Min: 13.92 / Avg: 14.01 / Max: 14.09 Min: 9.59 / Avg: 9.68 / Max: 9.8 Min: 9.35 / Avg: 9.39 / Max: 9.43 Min: 9.18 / Avg: 9.23 / Max: 9.26
Blender Blender is an open-source 3D creation software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via OpenCL or CUDA is supported. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Classroom - Compute: CPU-Only EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 140 280 420 560 700 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 SE +/- 0.71, N = 3 SE +/- 0.10, N = 3 SE +/- 0.14, N = 3 SE +/- 0.21, N = 3 SE +/- 0.37, N = 3 SE +/- 0.75, N = 3 SE +/- 1.29, N = 3 SE +/- 0.37, N = 3 SE +/- 0.49, N = 3 SE +/- 1.21, N = 3 SE +/- 0.92, N = 3 SE +/- 0.28, N = 3 SE +/- 0.76, N = 3 SE +/- 1.54, N = 3 SE +/- 0.66, N = 3 SE +/- 1.13, N = 3 SE +/- 0.91, N = 3 SE +/- 1.46, N = 3 198.29 264.58 503.70 112.75 112.70 133.19 130.69 165.59 186.22 179.24 176.75 197.80 217.18 249.36 314.32 339.18 431.29 586.46 625.57 632.59
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Classroom - Compute: CPU-Only EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 110 220 330 440 550 Min: 198.23 / Avg: 198.29 / Max: 198.32 Min: 264.44 / Avg: 264.58 / Max: 264.72 Min: 502.58 / Avg: 503.7 / Max: 505.02 Min: 112.54 / Avg: 112.75 / Max: 112.87 Min: 112.45 / Avg: 112.7 / Max: 112.92 Min: 132.79 / Avg: 133.19 / Max: 133.49 Min: 130.1 / Avg: 130.69 / Max: 131.36 Min: 164.16 / Avg: 165.59 / Max: 166.7 Min: 184.11 / Avg: 186.22 / Max: 188.57 Min: 178.66 / Avg: 179.24 / Max: 179.92 Min: 176.01 / Avg: 176.75 / Max: 177.67 Min: 196.12 / Avg: 197.8 / Max: 200.15 Min: 215.35 / Avg: 217.18 / Max: 218.25 Min: 248.79 / Avg: 249.36 / Max: 249.66 Min: 313.32 / Avg: 314.32 / Max: 315.81 Min: 336.13 / Avg: 339.18 / Max: 341.08 Min: 430.28 / Avg: 431.29 / Max: 432.54 Min: 584.48 / Avg: 586.46 / Max: 588.41 Min: 624.29 / Avg: 625.57 / Max: 627.33 Min: 630.83 / Avg: 632.59 / Max: 635.48
OpenVKL OpenVKL is the Intel Open Volume Kernel Library that offers high-performance volume computation kernels and part of the Intel oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Items / Sec, More Is Better OpenVKL 0.9 Benchmark: vklBenchmark EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 110 220 330 440 550 SE +/- 0.75, N = 3 SE +/- 0.38, N = 3 SE +/- 0.42, N = 3 SE +/- 1.07, N = 3 SE +/- 2.58, N = 3 SE +/- 1.51, N = 3 SE +/- 0.43, N = 3 SE +/- 1.04, N = 3 SE +/- 3.58, N = 3 SE +/- 2.40, N = 3 SE +/- 1.11, N = 3 SE +/- 0.69, N = 3 SE +/- 0.47, N = 3 SE +/- 1.84, N = 3 SE +/- 0.13, N = 3 SE +/- 0.12, N = 3 SE +/- 1.02, N = 3 SE +/- 0.20, N = 3 SE +/- 0.38, N = 3 SE +/- 0.23, N = 3 291.15 216.80 107.89 439.04 492.81 429.76 424.70 343.46 290.28 321.44 323.52 301.70 268.70 225.22 185.83 178.83 130.98 93.54 88.72 92.91
Result Confidence
OpenBenchmarking.org Items / Sec, More Is Better OpenVKL 0.9 Benchmark: vklBenchmark EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 90 180 270 360 450 Min: 290 / Avg: 291.15 / Max: 292.56 Min: 216.39 / Avg: 216.8 / Max: 217.56 Min: 107.06 / Avg: 107.89 / Max: 108.39 Min: 437.83 / Avg: 439.04 / Max: 441.17 Min: 487.72 / Avg: 492.81 / Max: 496.11 Min: 427.78 / Avg: 429.76 / Max: 432.72 Min: 423.89 / Avg: 424.7 / Max: 425.33 Min: 341.94 / Avg: 343.46 / Max: 345.44 Min: 283.11 / Avg: 290.28 / Max: 294 Min: 316.78 / Avg: 321.44 / Max: 324.72 Min: 321.67 / Avg: 323.52 / Max: 325.5 Min: 300.33 / Avg: 301.7 / Max: 302.44 Min: 267.89 / Avg: 268.7 / Max: 269.5 Min: 221.61 / Avg: 225.22 / Max: 227.67 Min: 185.61 / Avg: 185.83 / Max: 186.06 Min: 178.67 / Avg: 178.83 / Max: 179.06 Min: 129 / Avg: 130.98 / Max: 132.39 Min: 93.17 / Avg: 93.54 / Max: 93.83 Min: 88 / Avg: 88.72 / Max: 89.28 Min: 92.56 / Avg: 92.91 / Max: 93.33
Stress-NG Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: SENDFILE EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 140K 280K 420K 560K 700K SE +/- 2361.40, N = 3 SE +/- 1205.14, N = 3 SE +/- 212.03, N = 3 SE +/- 2560.60, N = 3 SE +/- 2400.08, N = 3 SE +/- 2646.60, N = 3 SE +/- 662.65, N = 3 SE +/- 793.66, N = 3 SE +/- 275.01, N = 3 SE +/- 1517.69, N = 3 SE +/- 1346.26, N = 3 SE +/- 1084.86, N = 3 SE +/- 1231.54, N = 3 SE +/- 930.38, N = 3 SE +/- 275.65, N = 3 SE +/- 603.89, N = 3 SE +/- 115.16, N = 3 SE +/- 19.09, N = 3 SE +/- 157.51, N = 3 SE +/- 115.43, N = 3 375286.56 271798.18 142120.89 637854.00 641928.60 528168.36 537342.45 429545.18 392610.75 414301.15 410519.36 387824.66 336284.14 295072.85 233355.09 227661.36 175151.29 123755.93 116309.56 116199.55 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
Result Confidence
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: SENDFILE EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 110K 220K 330K 440K 550K Min: 371348.45 / Avg: 375286.56 / Max: 379513.3 Min: 270479.97 / Avg: 271798.18 / Max: 274204.81 Min: 141814.3 / Avg: 142120.89 / Max: 142527.91 Min: 633035.51 / Avg: 637854 / Max: 641765.47 Min: 637432.56 / Avg: 641928.6 / Max: 645632.79 Min: 523031.78 / Avg: 528168.36 / Max: 531843.49 Min: 536191.54 / Avg: 537342.45 / Max: 538486.99 Min: 428623.54 / Avg: 429545.18 / Max: 431125.21 Min: 392079.84 / Avg: 392610.75 / Max: 393000.66 Min: 411702.04 / Avg: 414301.15 / Max: 416958.52 Min: 408885.28 / Avg: 410519.36 / Max: 413189.67 Min: 386429 / Avg: 387824.66 / Max: 389961.2 Min: 334098.38 / Avg: 336284.14 / Max: 338360.35 Min: 293884.4 / Avg: 295072.85 / Max: 296907.04 Min: 233029.99 / Avg: 233355.09 / Max: 233903.24 Min: 226946.22 / Avg: 227661.36 / Max: 228861.82 Min: 174995.49 / Avg: 175151.29 / Max: 175376.09 Min: 123733.99 / Avg: 123755.93 / Max: 123793.96 Min: 116098.13 / Avg: 116309.56 / Max: 116617.51 Min: 116002.14 / Avg: 116199.55 / Max: 116401.9 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OSPray Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific visualizations. OSPray builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: NASA Streamlines - Renderer: SciVis EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 20 40 60 80 100 SE +/- 0.00, N = 3 SE +/- 0.00, N = 12 SE +/- 0.10, N = 3 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 SE +/- 0.72, N = 5 SE +/- 0.00, N = 12 SE +/- 0.00, N = 3 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 SE +/- 0.00, N = 3 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 45.45 33.33 17.14 76.92 76.92 66.67 66.67 53.80 47.62 50.00 50.00 45.45 41.67 35.71 29.41 27.03 21.28 15.63 14.29 14.08
Result Confidence
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: NASA Streamlines - Renderer: SciVis EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 15 30 45 60 75 Min: 45.45 / Avg: 45.45 / Max: 45.45 Min: 33.33 / Avg: 33.33 / Max: 33.33 Min: 16.95 / Avg: 17.14 / Max: 17.24 Min: 76.92 / Avg: 76.92 / Max: 76.92 Min: 76.92 / Avg: 76.92 / Max: 76.92 Min: 66.67 / Avg: 66.67 / Max: 66.67 Min: 66.67 / Avg: 66.67 / Max: 66.67 Min: 52.63 / Avg: 53.8 / Max: 55.56 Min: 47.62 / Avg: 47.62 / Max: 47.62 Min: 45.45 / Avg: 45.45 / Max: 45.45 Min: 41.67 / Avg: 41.67 / Max: 41.67 Min: 35.71 / Avg: 35.71 / Max: 35.71 Min: 29.41 / Avg: 29.41 / Max: 29.41 Min: 27.03 / Avg: 27.03 / Max: 27.03 Min: 21.28 / Avg: 21.28 / Max: 21.28 Min: 15.63 / Avg: 15.63 / Max: 15.63 Min: 14.29 / Avg: 14.29 / Max: 14.29 Min: 14.08 / Avg: 14.08 / Max: 14.08
Embree Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer - Model: Asian Dragon Obj EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 11 22 33 44 55 SE +/- 0.0707, N = 3 SE +/- 0.0439, N = 3 SE +/- 0.0029, N = 3 SE +/- 0.0908, N = 3 SE +/- 0.0648, N = 3 SE +/- 0.0268, N = 3 SE +/- 0.0752, N = 3 SE +/- 0.0968, N = 3 SE +/- 0.0478, N = 3 SE +/- 0.0461, N = 3 SE +/- 0.0379, N = 3 SE +/- 0.0391, N = 3 SE +/- 0.0311, N = 3 SE +/- 0.0170, N = 3 SE +/- 0.0059, N = 3 SE +/- 0.0122, N = 3 SE +/- 0.0181, N = 3 SE +/- 0.0183, N = 3 SE +/- 0.0109, N = 3 SE +/- 0.0184, N = 3 27.8014 19.9576 9.9019 47.0971 47.4287 43.1151 43.0274 34.1704 31.0287 32.5488 32.4407 30.3852 26.3280 23.5552 17.9550 17.3009 13.1278 9.0028 8.7510 8.6971
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer - Model: Asian Dragon Obj EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 10 20 30 40 50 Min: 27.66 / Avg: 27.8 / Max: 27.89 Min: 19.87 / Avg: 19.96 / Max: 20.02 Min: 9.9 / Avg: 9.9 / Max: 9.91 Min: 46.92 / Avg: 47.1 / Max: 47.21 Min: 47.32 / Avg: 47.43 / Max: 47.55 Min: 43.07 / Avg: 43.12 / Max: 43.16 Min: 42.88 / Avg: 43.03 / Max: 43.12 Min: 33.98 / Avg: 34.17 / Max: 34.29 Min: 30.93 / Avg: 31.03 / Max: 31.09 Min: 32.49 / Avg: 32.55 / Max: 32.64 Min: 32.37 / Avg: 32.44 / Max: 32.5 Min: 30.34 / Avg: 30.39 / Max: 30.46 Min: 26.27 / Avg: 26.33 / Max: 26.38 Min: 23.53 / Avg: 23.56 / Max: 23.59 Min: 17.94 / Avg: 17.96 / Max: 17.97 Min: 17.28 / Avg: 17.3 / Max: 17.32 Min: 13.1 / Avg: 13.13 / Max: 13.16 Min: 8.98 / Avg: 9 / Max: 9.04 Min: 8.73 / Avg: 8.75 / Max: 8.76 Min: 8.67 / Avg: 8.7 / Max: 8.73
IndigoBench This is a test of Indigo Renderer's IndigoBench benchmark. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org M samples/s, More Is Better IndigoBench 4.0.64 Scene: Bedroom EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 1.2422 2.4844 3.7266 4.9688 6.211 SE +/- 0.002, N = 3 SE +/- 0.005, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.008, N = 3 SE +/- 0.007, N = 3 SE +/- 0.008, N = 3 SE +/- 0.008, N = 3 SE +/- 0.003, N = 3 SE +/- 0.004, N = 3 SE +/- 0.004, N = 3 SE +/- 0.004, N = 3 SE +/- 0.001, N = 3 SE +/- 0.004, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 3.398 2.419 1.220 5.418 5.521 5.159 5.293 4.251 3.771 3.965 3.937 3.688 3.224 2.833 2.176 2.103 1.611 1.097 1.057 1.014
Result Confidence
OpenBenchmarking.org M samples/s, More Is Better IndigoBench 4.0.64 Scene: Bedroom EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 2 4 6 8 10 Min: 3.4 / Avg: 3.4 / Max: 3.4 Min: 2.41 / Avg: 2.42 / Max: 2.43 Min: 1.22 / Avg: 1.22 / Max: 1.22 Min: 5.42 / Avg: 5.42 / Max: 5.42 Min: 5.51 / Avg: 5.52 / Max: 5.53 Min: 5.15 / Avg: 5.16 / Max: 5.17 Min: 5.29 / Avg: 5.29 / Max: 5.31 Min: 4.24 / Avg: 4.25 / Max: 4.27 Min: 3.77 / Avg: 3.77 / Max: 3.78 Min: 3.96 / Avg: 3.97 / Max: 3.97 Min: 3.93 / Avg: 3.94 / Max: 3.95 Min: 3.68 / Avg: 3.69 / Max: 3.69 Min: 3.22 / Avg: 3.22 / Max: 3.23 Min: 2.83 / Avg: 2.83 / Max: 2.84 Min: 2.17 / Avg: 2.18 / Max: 2.18 Min: 2.1 / Avg: 2.1 / Max: 2.11 Min: 1.61 / Avg: 1.61 / Max: 1.61 Min: 1.1 / Avg: 1.1 / Max: 1.1 Min: 1.05 / Avg: 1.06 / Max: 1.06 Min: 1.01 / Avg: 1.01 / Max: 1.02
Apache Cassandra This is a benchmark of the Apache Cassandra NoSQL database management system making use of cassandra-stress. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Op/s, More Is Better Apache Cassandra 3.11.4 Test: Writes EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 50K 100K 150K 200K 250K SE +/- 1497.72, N = 13 SE +/- 970.11, N = 3 SE +/- 364.13, N = 3 SE +/- 1719.61, N = 3 SE +/- 2053.52, N = 10 SE +/- 1820.08, N = 15 SE +/- 2783.17, N = 4 SE +/- 2505.69, N = 15 SE +/- 2557.41, N = 15 SE +/- 2680.04, N = 3 SE +/- 956.08, N = 3 SE +/- 2362.56, N = 6 SE +/- 2252.44, N = 3 SE +/- 2165.41, N = 5 SE +/- 1172.51, N = 3 SE +/- 1109.12, N = 3 SE +/- 674.43, N = 3 SE +/- 218.45, N = 3 SE +/- 180.35, N = 3 SE +/- 135.06, N = 3 184455 127262 49086 218854 218480 196720 203081 211140 193790 205457 214486 199364 180592 162681 112020 122041 76751 43203 41662 40445
Result Confidence
OpenBenchmarking.org Op/s, More Is Better Apache Cassandra 3.11.4 Test: Writes EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 40K 80K 120K 160K 200K Min: 177996 / Avg: 184455 / Max: 191651 Min: 126002 / Avg: 127262.33 / Max: 129170 Min: 48473 / Avg: 49086 / Max: 49733 Min: 215677 / Avg: 218854.33 / Max: 221583 Min: 207486 / Avg: 218480.4 / Max: 225818 Min: 189102 / Avg: 196719.53 / Max: 208592 Min: 198780 / Avg: 203080.5 / Max: 211125 Min: 196521 / Avg: 211139.8 / Max: 221898 Min: 176360 / Avg: 193789.73 / Max: 202817 Min: 202352 / Avg: 205456.67 / Max: 210793 Min: 212577 / Avg: 214486.33 / Max: 215531 Min: 190358 / Avg: 199364 / Max: 208384 Min: 176111 / Avg: 180591.67 / Max: 183236 Min: 155800 / Avg: 162680.8 / Max: 166977 Min: 109894 / Avg: 112020 / Max: 113940 Min: 120158 / Avg: 122041.33 / Max: 123998 Min: 75429 / Avg: 76751.33 / Max: 77643 Min: 42953 / Avg: 43202.67 / Max: 43638 Min: 41364 / Avg: 41662 / Max: 41987 Min: 40189 / Avg: 40444.67 / Max: 40648
Embree Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer ISPC - Model: Asian Dragon Obj EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 10 20 30 40 50 SE +/- 0.0834, N = 3 SE +/- 0.1352, N = 3 SE +/- 0.0091, N = 3 SE +/- 0.0544, N = 3 SE +/- 0.0423, N = 3 SE +/- 0.0860, N = 3 SE +/- 0.0861, N = 3 SE +/- 0.0311, N = 3 SE +/- 0.0254, N = 3 SE +/- 0.0668, N = 3 SE +/- 0.0547, N = 3 SE +/- 0.0032, N = 3 SE +/- 0.0049, N = 3 SE +/- 0.0037, N = 3 SE +/- 0.0117, N = 3 SE +/- 0.0549, N = 3 SE +/- 0.0365, N = 3 SE +/- 0.0078, N = 3 SE +/- 0.0111, N = 3 SE +/- 0.0216, N = 3 26.7566 18.9692 9.4614 44.5624 44.9159 41.0754 41.1410 32.9632 29.8408 31.1938 31.0503 29.1758 25.2413 22.4622 17.2397 16.6041 12.5387 8.6359 8.3807 8.3087
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer ISPC - Model: Asian Dragon Obj EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 9 18 27 36 45 Min: 26.59 / Avg: 26.76 / Max: 26.86 Min: 18.71 / Avg: 18.97 / Max: 19.16 Min: 9.45 / Avg: 9.46 / Max: 9.48 Min: 44.45 / Avg: 44.56 / Max: 44.62 Min: 44.87 / Avg: 44.92 / Max: 45 Min: 40.91 / Avg: 41.08 / Max: 41.18 Min: 40.97 / Avg: 41.14 / Max: 41.25 Min: 32.92 / Avg: 32.96 / Max: 33.02 Min: 29.81 / Avg: 29.84 / Max: 29.89 Min: 31.08 / Avg: 31.19 / Max: 31.31 Min: 30.96 / Avg: 31.05 / Max: 31.15 Min: 29.17 / Avg: 29.18 / Max: 29.18 Min: 25.23 / Avg: 25.24 / Max: 25.25 Min: 22.45 / Avg: 22.46 / Max: 22.47 Min: 17.22 / Avg: 17.24 / Max: 17.26 Min: 16.5 / Avg: 16.6 / Max: 16.69 Min: 12.48 / Avg: 12.54 / Max: 12.6 Min: 8.62 / Avg: 8.64 / Max: 8.65 Min: 8.36 / Avg: 8.38 / Max: 8.4 Min: 8.27 / Avg: 8.31 / Max: 8.34
Rodinia Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP LavaMD EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 70 140 210 280 350 SE +/- 0.55, N = 3 SE +/- 0.78, N = 3 SE +/- 0.43, N = 3 SE +/- 0.07, N = 3 SE +/- 0.15, N = 3 SE +/- 0.40, N = 3 SE +/- 0.29, N = 3 SE +/- 0.29, N = 3 SE +/- 0.23, N = 3 SE +/- 0.46, N = 3 SE +/- 0.31, N = 3 SE +/- 0.64, N = 3 SE +/- 0.75, N = 3 SE +/- 0.59, N = 3 SE +/- 0.81, N = 3 SE +/- 0.59, N = 3 SE +/- 0.17, N = 3 SE +/- 0.46, N = 3 SE +/- 0.45, N = 3 SE +/- 0.42, N = 3 99.12 132.61 254.24 57.77 57.51 67.16 67.38 83.82 91.87 89.86 89.98 97.72 108.46 126.67 155.20 166.07 212.16 286.30 309.85 303.59 1. (CXX) g++ options: -O2 -lOpenCL
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP LavaMD EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 60 120 180 240 300 Min: 98.3 / Avg: 99.12 / Max: 100.18 Min: 131.57 / Avg: 132.61 / Max: 134.13 Min: 253.65 / Avg: 254.24 / Max: 255.07 Min: 57.69 / Avg: 57.77 / Max: 57.9 Min: 57.23 / Avg: 57.51 / Max: 57.76 Min: 66.55 / Avg: 67.16 / Max: 67.92 Min: 67.07 / Avg: 67.37 / Max: 67.95 Min: 83.25 / Avg: 83.82 / Max: 84.14 Min: 91.56 / Avg: 91.87 / Max: 92.33 Min: 89.2 / Avg: 89.86 / Max: 90.75 Min: 89.65 / Avg: 89.98 / Max: 90.59 Min: 97.08 / Avg: 97.72 / Max: 99 Min: 107.41 / Avg: 108.46 / Max: 109.91 Min: 125.55 / Avg: 126.67 / Max: 127.57 Min: 154.04 / Avg: 155.2 / Max: 156.75 Min: 165.23 / Avg: 166.07 / Max: 167.2 Min: 211.93 / Avg: 212.16 / Max: 212.49 Min: 285.71 / Avg: 286.3 / Max: 287.21 Min: 309.02 / Avg: 309.85 / Max: 310.56 Min: 302.91 / Avg: 303.59 / Max: 304.34 1. (CXX) g++ options: -O2 -lOpenCL
OpenVINO
Result
OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Person Detection 0106 FP16 - Device: CPU EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 2 4 6 8 10 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 3.95 2.97 1.56 6.10 6.56 5.64 5.61 4.75 4.12 4.38 4.35 3.89 3.48 3.01 2.43 2.28 1.76 1.30 1.24 1.22 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
Result Confidence
OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Person Detection 0106 FP16 - Device: CPU EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 Min: 3.92 / Avg: 3.95 / Max: 3.99 Min: 2.96 / Avg: 2.97 / Max: 2.98 Min: 1.55 / Avg: 1.56 / Max: 1.57 Min: 6.09 / Avg: 6.1 / Max: 6.12 Min: 6.53 / Avg: 6.56 / Max: 6.59 Min: 5.6 / Avg: 5.64 / Max: 5.67 Min: 5.59 / Avg: 5.61 / Max: 5.66 Min: 4.74 / Avg: 4.75 / Max: 4.76 Min: 4.12 / Avg: 4.12 / Max: 4.13 Min: 4.36 / Avg: 4.38 / Max: 4.41 Min: 4.31 / Avg: 4.35 / Max: 4.37 Min: 3.89 / Avg: 3.89 / Max: 3.9 Min: 3.44 / Avg: 3.48 / Max: 3.51 Min: 2.99 / Avg: 3.01 / Max: 3.02 Min: 2.42 / Avg: 2.43 / Max: 2.43 Min: 2.27 / Avg: 2.28 / Max: 2.3 Min: 1.75 / Avg: 1.76 / Max: 1.77 Min: 1.29 / Avg: 1.3 / Max: 1.3 Min: 1.23 / Avg: 1.24 / Max: 1.24 Min: 1.2 / Avg: 1.22 / Max: 1.23 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
Result
OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Person Detection 0106 FP32 - Device: CPU EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 2 4 6 8 10 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 3.94 2.98 1.55 6.11 6.58 5.63 5.58 4.73 4.12 4.30 4.35 3.88 3.49 3.02 2.44 2.30 1.77 1.29 1.24 1.23 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
Result Confidence
OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Person Detection 0106 FP32 - Device: CPU EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 Min: 3.92 / Avg: 3.94 / Max: 3.98 Min: 2.95 / Avg: 2.98 / Max: 3.01 Min: 1.53 / Avg: 1.55 / Max: 1.58 Min: 6.1 / Avg: 6.11 / Max: 6.12 Min: 6.56 / Avg: 6.58 / Max: 6.6 Min: 5.61 / Avg: 5.63 / Max: 5.65 Min: 5.53 / Avg: 5.58 / Max: 5.63 Min: 4.72 / Avg: 4.73 / Max: 4.75 Min: 4.11 / Avg: 4.12 / Max: 4.13 Min: 4.26 / Avg: 4.3 / Max: 4.33 Min: 4.33 / Avg: 4.35 / Max: 4.38 Min: 3.86 / Avg: 3.88 / Max: 3.9 Min: 3.47 / Avg: 3.49 / Max: 3.51 Min: 3 / Avg: 3.02 / Max: 3.03 Min: 2.43 / Avg: 2.44 / Max: 2.46 Min: 2.29 / Avg: 2.3 / Max: 2.3 Min: 1.77 / Avg: 1.77 / Max: 1.78 Min: 1.29 / Avg: 1.29 / Max: 1.3 Min: 1.23 / Avg: 1.24 / Max: 1.25 Min: 1.22 / Avg: 1.23 / Max: 1.24 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
GraphicsMagick This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.33 Operation: Enhanced EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 200 400 600 800 1000 SE +/- 0.58, N = 3 SE +/- 0.33, N = 3 SE +/- 0.58, N = 3 SE +/- 0.88, N = 3 SE +/- 0.58, N = 3 SE +/- 0.33, N = 3 SE +/- 0.88, N = 3 SE +/- 0.33, N = 3 513 384 196 820 864 756 732 601 554 582 570 532 471 415 332 315 240 174 162 165 1. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
Result Confidence
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.33 Operation: Enhanced EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 150 300 450 600 750 Min: 512 / Avg: 513 / Max: 514 Min: 196 / Avg: 196.33 / Max: 197 Min: 819 / Avg: 820 / Max: 821 Min: 862 / Avg: 863.67 / Max: 865 Min: 755 / Avg: 756 / Max: 757 Min: 554 / Avg: 554.33 / Max: 555 Min: 530 / Avg: 531.67 / Max: 533 Min: 415 / Avg: 415.33 / Max: 416 1. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
ASTC Encoder ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better ASTC Encoder 2.0 Preset: Thorough EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 8 16 24 32 40 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 10.49 13.77 27.00 6.26 6.25 7.21 7.26 8.88 9.87 9.56 9.55 10.39 11.48 13.30 16.30 17.54 22.25 30.98 32.88 32.38 1. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better ASTC Encoder 2.0 Preset: Thorough EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 7 14 21 28 35 Min: 10.48 / Avg: 10.49 / Max: 10.5 Min: 13.76 / Avg: 13.77 / Max: 13.78 Min: 26.97 / Avg: 27 / Max: 27.02 Min: 6.25 / Avg: 6.26 / Max: 6.27 Min: 6.24 / Avg: 6.25 / Max: 6.25 Min: 7.21 / Avg: 7.21 / Max: 7.22 Min: 7.25 / Avg: 7.26 / Max: 7.26 Min: 8.88 / Avg: 8.88 / Max: 8.89 Min: 9.87 / Avg: 9.87 / Max: 9.87 Min: 9.55 / Avg: 9.56 / Max: 9.57 Min: 9.55 / Avg: 9.55 / Max: 9.55 Min: 10.38 / Avg: 10.39 / Max: 10.4 Min: 11.48 / Avg: 11.48 / Max: 11.49 Min: 13.3 / Avg: 13.3 / Max: 13.3 Min: 16.29 / Avg: 16.3 / Max: 16.3 Min: 17.54 / Avg: 17.54 / Max: 17.55 Min: 22.24 / Avg: 22.25 / Max: 22.25 Min: 30.94 / Avg: 30.98 / Max: 31.02 Min: 32.87 / Avg: 32.88 / Max: 32.89 Min: 32.37 / Avg: 32.38 / Max: 32.38 1. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 - Engine: CPU EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 SE +/- 0.03237, N = 3 SE +/- 0.03563, N = 3 SE +/- 0.04355, N = 3 SE +/- 0.00193, N = 3 SE +/- 0.01117, N = 3 SE +/- 0.00807, N = 3 SE +/- 0.03246, N = 3 SE +/- 0.00727, N = 3 SE +/- 0.01388, N = 3 SE +/- 0.00963, N = 3 SE +/- 0.00330, N = 3 SE +/- 0.01709, N = 3 SE +/- 0.04730, N = 3 SE +/- 0.02264, N = 3 SE +/- 0.00888, N = 3 SE +/- 0.07374, N = 3 SE +/- 0.07848, N = 3 SE +/- 0.06464, N = 3 SE +/- 0.02321, N = 3 SE +/- 0.13888, N = 3 5.81070 5.61953 7.96836 2.11772 1.84929 1.97320 2.07711 2.11379 2.39590 2.20492 2.23666 2.37717 6.08993 7.15861 6.23365 6.27642 5.80076 8.37286 9.61958 9.24304 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 - Engine: CPU EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 Min: 5.75 / Avg: 5.81 / Max: 5.86 Min: 5.55 / Avg: 5.62 / Max: 5.66 Min: 7.89 / Avg: 7.97 / Max: 8.04 Min: 2.11 / Avg: 2.12 / Max: 2.12 Min: 1.83 / Avg: 1.85 / Max: 1.87 Min: 1.96 / Avg: 1.97 / Max: 1.99 Min: 2.03 / Avg: 2.08 / Max: 2.14 Min: 2.1 / Avg: 2.11 / Max: 2.13 Min: 2.37 / Avg: 2.4 / Max: 2.42 Min: 2.19 / Avg: 2.2 / Max: 2.22 Min: 2.23 / Avg: 2.24 / Max: 2.24 Min: 2.34 / Avg: 2.38 / Max: 2.4 Min: 6.03 / Avg: 6.09 / Max: 6.18 Min: 7.12 / Avg: 7.16 / Max: 7.19 Min: 6.22 / Avg: 6.23 / Max: 6.24 Min: 6.18 / Avg: 6.28 / Max: 6.42 Min: 5.71 / Avg: 5.8 / Max: 5.96 Min: 8.25 / Avg: 8.37 / Max: 8.47 Min: 9.58 / Avg: 9.62 / Max: 9.65 Min: 9 / Avg: 9.24 / Max: 9.48 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
Blender Blender is an open-source 3D creation software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via OpenCL or CUDA is supported. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: BMW27 - Compute: CPU-Only EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 50 100 150 200 250 SE +/- 0.32, N = 3 SE +/- 0.13, N = 3 SE +/- 0.21, N = 3 SE +/- 0.14, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.33, N = 3 SE +/- 0.22, N = 3 SE +/- 0.11, N = 3 SE +/- 0.39, N = 3 SE +/- 0.08, N = 3 SE +/- 0.73, N = 3 SE +/- 0.33, N = 3 SE +/- 0.08, N = 3 SE +/- 0.07, N = 3 SE +/- 0.31, N = 3 SE +/- 0.40, N = 3 SE +/- 0.74, N = 3 SE +/- 0.18, N = 3 SE +/- 1.38, N = 3 68.12 88.35 165.25 41.73 42.02 48.27 47.77 58.77 64.81 62.29 61.39 69.33 73.60 84.66 107.22 114.07 144.84 192.65 207.16 214.06
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: BMW27 - Compute: CPU-Only EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 40 80 120 160 200 Min: 67.79 / Avg: 68.12 / Max: 68.76 Min: 88.14 / Avg: 88.35 / Max: 88.6 Min: 164.92 / Avg: 165.25 / Max: 165.65 Min: 41.46 / Avg: 41.73 / Max: 41.91 Min: 41.96 / Avg: 42.02 / Max: 42.09 Min: 48.17 / Avg: 48.27 / Max: 48.39 Min: 47.25 / Avg: 47.77 / Max: 48.37 Min: 58.35 / Avg: 58.77 / Max: 59.06 Min: 64.63 / Avg: 64.81 / Max: 65.01 Min: 61.67 / Avg: 62.29 / Max: 63.01 Min: 61.3 / Avg: 61.39 / Max: 61.55 Min: 67.94 / Avg: 69.33 / Max: 70.39 Min: 72.99 / Avg: 73.6 / Max: 74.1 Min: 84.5 / Avg: 84.66 / Max: 84.76 Min: 107.13 / Avg: 107.22 / Max: 107.36 Min: 113.59 / Avg: 114.07 / Max: 114.66 Min: 144.04 / Avg: 144.84 / Max: 145.31 Min: 191.37 / Avg: 192.65 / Max: 193.92 Min: 206.8 / Avg: 207.16 / Max: 207.4 Min: 212.22 / Avg: 214.06 / Max: 216.75
LAMMPS Molecular Dynamics Simulator LAMMPS is a classical molecular dynamics code, and an acronym for Large-scale Atomic/Molecular Massively Parallel Simulator. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ns/day, More Is Better LAMMPS Molecular Dynamics Simulator 24Aug2020 Model: 20k Atoms EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 6 12 18 24 30 SE +/- 0.028, N = 3 SE +/- 0.005, N = 3 SE +/- 0.065, N = 3 SE +/- 0.164, N = 3 SE +/- 0.022, N = 3 SE +/- 0.047, N = 3 SE +/- 0.054, N = 3 SE +/- 0.046, N = 3 SE +/- 0.007, N = 3 SE +/- 0.038, N = 3 SE +/- 0.057, N = 3 SE +/- 0.073, N = 3 SE +/- 0.009, N = 3 SE +/- 0.055, N = 3 SE +/- 0.032, N = 3 SE +/- 0.053, N = 3 SE +/- 0.053, N = 3 SE +/- 0.016, N = 3 SE +/- 0.052, N = 9 SE +/- 0.015, N = 3 16.035 12.242 5.531 24.188 25.007 22.299 22.000 17.943 17.343 17.307 17.261 16.078 14.700 13.040 10.431 9.441 7.459 5.762 4.895 5.214 1. (CXX) g++ options: -O3 -pthread -lm
Result Confidence
OpenBenchmarking.org ns/day, More Is Better LAMMPS Molecular Dynamics Simulator 24Aug2020 Model: 20k Atoms EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 6 12 18 24 30 Min: 15.98 / Avg: 16.04 / Max: 16.06 Min: 12.23 / Avg: 12.24 / Max: 12.25 Min: 5.43 / Avg: 5.53 / Max: 5.65 Min: 23.87 / Avg: 24.19 / Max: 24.41 Min: 24.97 / Avg: 25.01 / Max: 25.05 Min: 22.22 / Avg: 22.3 / Max: 22.38 Min: 21.93 / Avg: 22 / Max: 22.11 Min: 17.88 / Avg: 17.94 / Max: 18.03 Min: 17.33 / Avg: 17.34 / Max: 17.36 Min: 17.26 / Avg: 17.31 / Max: 17.38 Min: 17.15 / Avg: 17.26 / Max: 17.33 Min: 15.98 / Avg: 16.08 / Max: 16.22 Min: 14.68 / Avg: 14.7 / Max: 14.72 Min: 12.93 / Avg: 13.04 / Max: 13.11 Min: 10.37 / Avg: 10.43 / Max: 10.48 Min: 9.35 / Avg: 9.44 / Max: 9.54 Min: 7.4 / Avg: 7.46 / Max: 7.56 Min: 5.73 / Avg: 5.76 / Max: 5.78 Min: 4.57 / Avg: 4.9 / Max: 5.06 Min: 5.18 / Avg: 5.21 / Max: 5.23 1. (CXX) g++ options: -O3 -pthread -lm
rays1bench This is a test of rays1bench, a simple path-tracer / ray-tracing that supports SSE and AVX instructions, multi-threading, and other features. This test profile is measuring the performance of the "large scene" in rays1bench. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org mrays/s, More Is Better rays1bench 2020-01-09 Large Scene EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 50 100 150 200 250 SE +/- 0.06, N = 3 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 SE +/- 0.09, N = 3 SE +/- 0.27, N = 3 SE +/- 0.10, N = 3 SE +/- 0.26, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.09, N = 3 SE +/- 0.09, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.10, N = 3 SE +/- 0.17, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 149.44 108.28 58.90 243.77 243.21 219.29 218.50 182.84 162.20 168.05 167.97 152.48 134.24 114.47 90.31 83.37 68.59 50.44 47.79 48.61
Result Confidence
OpenBenchmarking.org mrays/s, More Is Better rays1bench 2020-01-09 Large Scene EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 40 80 120 160 200 Min: 149.35 / Avg: 149.44 / Max: 149.54 Min: 108.18 / Avg: 108.28 / Max: 108.44 Min: 58.86 / Avg: 58.9 / Max: 58.95 Min: 243.6 / Avg: 243.77 / Max: 243.91 Min: 242.78 / Avg: 243.21 / Max: 243.72 Min: 219.13 / Avg: 219.29 / Max: 219.46 Min: 218.04 / Avg: 218.5 / Max: 218.94 Min: 182.76 / Avg: 182.84 / Max: 182.93 Min: 162.12 / Avg: 162.2 / Max: 162.29 Min: 167.87 / Avg: 168.05 / Max: 168.17 Min: 167.81 / Avg: 167.97 / Max: 168.11 Min: 152.45 / Avg: 152.48 / Max: 152.51 Min: 134.14 / Avg: 134.24 / Max: 134.33 Min: 114.38 / Avg: 114.47 / Max: 114.53 Min: 90.19 / Avg: 90.31 / Max: 90.51 Min: 83.02 / Avg: 83.37 / Max: 83.54 Min: 68.53 / Avg: 68.59 / Max: 68.63 Min: 50.41 / Avg: 50.44 / Max: 50.48 Min: 47.7 / Avg: 47.79 / Max: 47.88 Min: 48.59 / Avg: 48.61 / Max: 48.62
PostgreSQL pgbench This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 250 - Mode: Read Only EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 160K 320K 480K 640K 800K SE +/- 744.17, N = 3 SE +/- 595.69, N = 3 SE +/- 763.33, N = 3 SE +/- 11784.18, N = 3 SE +/- 11534.89, N = 3 SE +/- 1866.98, N = 3 SE +/- 1753.24, N = 3 SE +/- 1853.99, N = 3 SE +/- 1360.81, N = 3 SE +/- 1272.74, N = 3 SE +/- 3314.57, N = 3 SE +/- 1819.29, N = 3 SE +/- 148.41, N = 3 SE +/- 964.32, N = 3 SE +/- 458.18, N = 3 SE +/- 371.28, N = 3 SE +/- 190.54, N = 3 SE +/- 281.99, N = 3 SE +/- 242.40, N = 3 SE +/- 390.58, N = 3 463582 337875 178724 725672 731736 649201 642567 550558 489956 514016 513483 474244 437752 381123 311207 285548 226615 158358 152685 144558 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result Confidence
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 250 - Mode: Read Only EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 130K 260K 390K 520K 650K Min: 462640.97 / Avg: 463581.66 / Max: 465050.85 Min: 337174.62 / Avg: 337874.52 / Max: 339059.42 Min: 177208.31 / Avg: 178724.19 / Max: 179639.08 Min: 702987.15 / Avg: 725671.92 / Max: 742550.71 Min: 715925.22 / Avg: 731736.03 / Max: 754190.49 Min: 646151.18 / Avg: 649201.35 / Max: 652591.71 Min: 639083.37 / Avg: 642567.28 / Max: 644653.15 Min: 546858.3 / Avg: 550558.13 / Max: 552620.87 Min: 487238.87 / Avg: 489955.82 / Max: 491452.38 Min: 511766.55 / Avg: 514016.17 / Max: 516172.49 Min: 506902.52 / Avg: 513483.29 / Max: 517465.87 Min: 471317.66 / Avg: 474244.13 / Max: 477579.87 Min: 437599.54 / Avg: 437751.6 / Max: 438048.38 Min: 379914.86 / Avg: 381122.97 / Max: 383028.99 Min: 310297.61 / Avg: 311206.78 / Max: 311760.54 Min: 285054.9 / Avg: 285547.86 / Max: 286275.27 Min: 226256.52 / Avg: 226615.41 / Max: 226905.81 Min: 157829.21 / Avg: 158358.26 / Max: 158791.99 Min: 152214.65 / Avg: 152685.35 / Max: 153021.23 Min: 144006.14 / Avg: 144558.41 / Max: 145312.98 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average Latency EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 0.3893 0.7786 1.1679 1.5572 1.9465 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.006, N = 3 SE +/- 0.006, N = 3 SE +/- 0.005, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 SE +/- 0.002, N = 3 SE +/- 0.000, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 SE +/- 0.002, N = 3 SE +/- 0.005, N = 3 0.540 0.741 1.400 0.346 0.343 0.386 0.390 0.455 0.511 0.487 0.488 0.528 0.572 0.657 0.804 0.876 1.104 1.580 1.638 1.730 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average Latency EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 2 4 6 8 10 Min: 0.54 / Avg: 0.54 / Max: 0.54 Min: 0.74 / Avg: 0.74 / Max: 0.74 Min: 1.39 / Avg: 1.4 / Max: 1.41 Min: 0.34 / Avg: 0.35 / Max: 0.36 Min: 0.33 / Avg: 0.34 / Max: 0.35 Min: 0.38 / Avg: 0.39 / Max: 0.39 Min: 0.39 / Avg: 0.39 / Max: 0.39 Min: 0.45 / Avg: 0.46 / Max: 0.46 Min: 0.51 / Avg: 0.51 / Max: 0.51 Min: 0.49 / Avg: 0.49 / Max: 0.49 Min: 0.48 / Avg: 0.49 / Max: 0.49 Min: 0.52 / Avg: 0.53 / Max: 0.53 Min: 0.57 / Avg: 0.57 / Max: 0.57 Min: 0.65 / Avg: 0.66 / Max: 0.66 Min: 0.8 / Avg: 0.8 / Max: 0.81 Min: 0.87 / Avg: 0.88 / Max: 0.88 Min: 1.1 / Avg: 1.1 / Max: 1.11 Min: 1.58 / Avg: 1.58 / Max: 1.59 Min: 1.64 / Avg: 1.64 / Max: 1.64 Min: 1.72 / Avg: 1.73 / Max: 1.74 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
POV-Ray This is a test of POV-Ray, the Persistence of Vision Raytracer. POV-Ray is used to create 3D graphics using ray-tracing. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better POV-Ray 3.7.0.7 Trace Time EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 14 28 42 56 70 SE +/- 0.09, N = 3 SE +/- 0.06, N = 3 SE +/- 0.11, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.08, N = 3 SE +/- 0.14, N = 3 SE +/- 0.05, N = 3 SE +/- 0.10, N = 3 SE +/- 0.16, N = 3 SE +/- 0.29, N = 3 SE +/- 0.09, N = 3 19.89 26.27 50.03 12.26 12.21 14.11 14.19 17.04 19.09 18.44 18.51 19.91 22.14 25.35 31.05 33.03 41.65 57.60 61.51 60.37 1. (CXX) g++ options: -pipe -O3 -ffast-math -march=native -pthread -lSDL -lSM -lICE -lX11 -lIlmImf -lIlmImf-2_5 -lImath-2_5 -lHalf-2_5 -lIex-2_5 -lIexMath-2_5 -lIlmThread-2_5 -lIlmThread -ltiff -ljpeg -lpng -lz -lrt -lm -lboost_thread -lboost_system
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better POV-Ray 3.7.0.7 Trace Time EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 12 24 36 48 60 Min: 19.8 / Avg: 19.89 / Max: 20.07 Min: 26.18 / Avg: 26.27 / Max: 26.37 Min: 49.81 / Avg: 50.03 / Max: 50.16 Min: 12.22 / Avg: 12.26 / Max: 12.29 Min: 12.18 / Avg: 12.21 / Max: 12.28 Min: 14.01 / Avg: 14.11 / Max: 14.21 Min: 14.15 / Avg: 14.19 / Max: 14.22 Min: 16.94 / Avg: 17.04 / Max: 17.13 Min: 19 / Avg: 19.09 / Max: 19.15 Min: 18.3 / Avg: 18.44 / Max: 18.53 Min: 18.47 / Avg: 18.51 / Max: 18.57 Min: 19.82 / Avg: 19.91 / Max: 20 Min: 22.06 / Avg: 22.14 / Max: 22.21 Min: 25.21 / Avg: 25.35 / Max: 25.51 Min: 30.9 / Avg: 31.05 / Max: 31.33 Min: 32.97 / Avg: 33.03 / Max: 33.13 Min: 41.44 / Avg: 41.65 / Max: 41.77 Min: 57.29 / Avg: 57.6 / Max: 57.82 Min: 60.97 / Avg: 61.51 / Max: 61.97 Min: 60.21 / Avg: 60.37 / Max: 60.52 1. (CXX) g++ options: -pipe -O3 -ffast-math -march=native -pthread -lSDL -lSM -lICE -lX11 -lIlmImf -lIlmImf-2_5 -lImath-2_5 -lHalf-2_5 -lIex-2_5 -lIexMath-2_5 -lIlmThread-2_5 -lIlmThread -ltiff -ljpeg -lpng -lz -lrt -lm -lboost_thread -lboost_system
PostgreSQL pgbench This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 100 - Mode: Read Only EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 200K 400K 600K 800K 1000K SE +/- 3196.29, N = 3 SE +/- 819.25, N = 3 SE +/- 704.81, N = 3 SE +/- 570.05, N = 3 SE +/- 1464.36, N = 3 SE +/- 2622.87, N = 3 SE +/- 3785.97, N = 3 SE +/- 574.88, N = 3 SE +/- 287.53, N = 3 SE +/- 2789.75, N = 3 SE +/- 2586.15, N = 3 SE +/- 6473.07, N = 3 SE +/- 1031.24, N = 3 SE +/- 884.69, N = 3 SE +/- 1217.31, N = 3 SE +/- 2227.34, N = 3 SE +/- 637.02, N = 3 SE +/- 874.00, N = 3 SE +/- 444.88, N = 3 SE +/- 87.29, N = 3 538427 410284 225099 842042 837443 954573 947547 746431 588980 690889 692827 625180 522618 450148 364724 364836 278801 199119 191561 190060 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result Confidence
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 100 - Mode: Read Only EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 170K 340K 510K 680K 850K Min: 532561.51 / Avg: 538427.36 / Max: 543560.87 Min: 408978.87 / Avg: 410283.57 / Max: 411794.3 Min: 224328.18 / Avg: 225098.69 / Max: 226506.21 Min: 841070.28 / Avg: 842041.76 / Max: 843044.24 Min: 834514.55 / Avg: 837442.79 / Max: 838952.55 Min: 949330.8 / Avg: 954572.83 / Max: 957364.51 Min: 940111.61 / Avg: 947547.37 / Max: 952503.31 Min: 745405.8 / Avg: 746431 / Max: 747394.36 Min: 588673.02 / Avg: 588979.95 / Max: 589554.56 Min: 685623.23 / Avg: 690888.85 / Max: 695119.5 Min: 690194.76 / Avg: 692827.15 / Max: 697999.18 Min: 612463.48 / Avg: 625180.49 / Max: 633639.01 Min: 520867.61 / Avg: 522617.98 / Max: 524437.91 Min: 448933.06 / Avg: 450147.68 / Max: 451869.24 Min: 362322.11 / Avg: 364724.07 / Max: 366269.28 Min: 360469.96 / Avg: 364836.23 / Max: 367784.14 Min: 277732.53 / Avg: 278800.91 / Max: 279936.18 Min: 197398.93 / Avg: 199119.18 / Max: 200248.01 Min: 190678.73 / Avg: 191561.09 / Max: 192101.4 Min: 189965.32 / Avg: 190060.47 / Max: 190234.8 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 100 - Mode: Read Only - Average Latency EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 0.1186 0.2372 0.3558 0.4744 0.593 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 0.186 0.244 0.445 0.119 0.119 0.105 0.106 0.134 0.170 0.145 0.144 0.160 0.192 0.223 0.274 0.274 0.359 0.503 0.522 0.527 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 100 - Mode: Read Only - Average Latency EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 2 4 6 8 10 Min: 0.18 / Avg: 0.19 / Max: 0.19 Min: 0.24 / Avg: 0.24 / Max: 0.25 Min: 0.44 / Avg: 0.44 / Max: 0.45 Min: 0.12 / Avg: 0.12 / Max: 0.12 Min: 0.12 / Avg: 0.12 / Max: 0.12 Min: 0.11 / Avg: 0.11 / Max: 0.11 Min: 0.11 / Avg: 0.11 / Max: 0.11 Min: 0.13 / Avg: 0.13 / Max: 0.13 Min: 0.17 / Avg: 0.17 / Max: 0.17 Min: 0.14 / Avg: 0.15 / Max: 0.15 Min: 0.14 / Avg: 0.14 / Max: 0.15 Min: 0.16 / Avg: 0.16 / Max: 0.16 Min: 0.19 / Avg: 0.19 / Max: 0.19 Min: 0.22 / Avg: 0.22 / Max: 0.22 Min: 0.27 / Avg: 0.27 / Max: 0.28 Min: 0.27 / Avg: 0.27 / Max: 0.28 Min: 0.36 / Avg: 0.36 / Max: 0.36 Min: 0.5 / Avg: 0.5 / Max: 0.51 Min: 0.52 / Avg: 0.52 / Max: 0.53 Min: 0.53 / Avg: 0.53 / Max: 0.53 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Intel Open Image Denoise Open Image Denoise is a denoising library for ray-tracing and part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Images / Sec, More Is Better Intel Open Image Denoise 1.2.0 Scene: Memorial EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 6 12 18 24 30 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.25, N = 15 SE +/- 0.07, N = 3 SE +/- 0.23, N = 3 SE +/- 0.21, N = 4 SE +/- 0.28, N = 4 SE +/- 0.24, N = 15 SE +/- 0.28, N = 3 SE +/- 0.16, N = 15 SE +/- 0.14, N = 6 SE +/- 0.19, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 18.55 13.84 7.66 27.41 27.53 23.66 24.70 19.87 14.91 19.60 18.72 16.83 14.57 13.00 11.54 11.06 8.77 6.06 5.57 6.49
Result Confidence
OpenBenchmarking.org Images / Sec, More Is Better Intel Open Image Denoise 1.2.0 Scene: Memorial EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 6 12 18 24 30 Min: 18.53 / Avg: 18.55 / Max: 18.57 Min: 13.83 / Avg: 13.84 / Max: 13.84 Min: 7.63 / Avg: 7.66 / Max: 7.7 Min: 27.34 / Avg: 27.41 / Max: 27.46 Min: 27.42 / Avg: 27.53 / Max: 27.62 Min: 22 / Avg: 23.66 / Max: 25.03 Min: 24.56 / Avg: 24.7 / Max: 24.8 Min: 19.63 / Avg: 19.87 / Max: 20.32 Min: 14.66 / Avg: 14.91 / Max: 15.55 Min: 18.81 / Avg: 19.6 / Max: 20.07 Min: 16.88 / Avg: 18.72 / Max: 19.81 Min: 16.43 / Avg: 16.83 / Max: 17.36 Min: 13.77 / Avg: 14.57 / Max: 15.9 Min: 12.45 / Avg: 13 / Max: 13.55 Min: 11.19 / Avg: 11.54 / Max: 11.82 Min: 10.99 / Avg: 11.06 / Max: 11.12 Min: 8.73 / Avg: 8.77 / Max: 8.81 Min: 6.02 / Avg: 6.06 / Max: 6.09 Min: 5.47 / Avg: 5.57 / Max: 5.62 Min: 6.46 / Avg: 6.49 / Max: 6.51
PostgreSQL pgbench This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1000 - Clients: 250 - Mode: Read Only EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 150K 300K 450K 600K 750K SE +/- 1014.57, N = 3 SE +/- 555.77, N = 3 SE +/- 247.67, N = 3 SE +/- 7702.49, N = 6 SE +/- 7809.46, N = 3 SE +/- 3817.77, N = 3 SE +/- 1356.41, N = 3 SE +/- 2717.04, N = 3 SE +/- 1195.56, N = 3 SE +/- 1730.67, N = 3 SE +/- 1331.68, N = 3 SE +/- 724.69, N = 3 SE +/- 144.21, N = 3 SE +/- 1409.40, N = 3 SE +/- 1077.02, N = 3 SE +/- 619.63, N = 3 SE +/- 402.38, N = 3 SE +/- 175.33, N = 3 SE +/- 228.56, N = 3 SE +/- 215.85, N = 3 443685 319683 169435 671452 680891 593198 598734 517604 465233 485489 484567 450377 417043 362848 296331 271729 216661 151111 146025 138357 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result Confidence
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1000 - Clients: 250 - Mode: Read Only EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 120K 240K 360K 480K 600K Min: 441750.91 / Avg: 443684.54 / Max: 445184.12 Min: 319110.96 / Avg: 319682.59 / Max: 320793.98 Min: 168939.25 / Avg: 169434.57 / Max: 169687.21 Min: 641670.74 / Avg: 671451.59 / Max: 692136.61 Min: 668077.17 / Avg: 680891.1 / Max: 695032.12 Min: 588437.25 / Avg: 593198.23 / Max: 600748.42 Min: 596198.71 / Avg: 598733.94 / Max: 600837.62 Min: 513346.16 / Avg: 517604.43 / Max: 522657.15 Min: 462949.41 / Avg: 465233.32 / Max: 466988.38 Min: 482047.03 / Avg: 485488.6 / Max: 487529.28 Min: 482176.8 / Avg: 484566.79 / Max: 486779.65 Min: 449445.05 / Avg: 450376.81 / Max: 451804.14 Min: 416754.87 / Avg: 417043.13 / Max: 417195.63 Min: 360029.39 / Avg: 362848.08 / Max: 364277.87 Min: 294542.54 / Avg: 296331.36 / Max: 298265.02 Min: 270504.51 / Avg: 271728.67 / Max: 272507.76 Min: 215859.43 / Avg: 216661.44 / Max: 217120.02 Min: 150760.55 / Avg: 151110.81 / Max: 151300.29 Min: 145741.05 / Avg: 146025.04 / Max: 146477.26 Min: 137940.02 / Avg: 138357.37 / Max: 138661.61 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1000 - Clients: 250 - Mode: Read Only - Average Latency EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 0.4068 0.8136 1.2204 1.6272 2.034 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.004, N = 6 SE +/- 0.004, N = 3 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.003, N = 3 SE +/- 0.003, N = 3 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 SE +/- 0.003, N = 3 SE +/- 0.003, N = 3 0.564 0.783 1.476 0.374 0.368 0.422 0.418 0.484 0.538 0.516 0.517 0.556 0.600 0.690 0.844 0.921 1.155 1.655 1.713 1.808 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1000 - Clients: 250 - Mode: Read Only - Average Latency EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 2 4 6 8 10 Min: 0.56 / Avg: 0.56 / Max: 0.57 Min: 0.78 / Avg: 0.78 / Max: 0.78 Min: 1.47 / Avg: 1.48 / Max: 1.48 Min: 0.36 / Avg: 0.37 / Max: 0.39 Min: 0.36 / Avg: 0.37 / Max: 0.38 Min: 0.42 / Avg: 0.42 / Max: 0.43 Min: 0.42 / Avg: 0.42 / Max: 0.42 Min: 0.48 / Avg: 0.48 / Max: 0.49 Min: 0.54 / Avg: 0.54 / Max: 0.54 Min: 0.51 / Avg: 0.52 / Max: 0.52 Min: 0.52 / Avg: 0.52 / Max: 0.52 Min: 0.55 / Avg: 0.56 / Max: 0.56 Min: 0.6 / Avg: 0.6 / Max: 0.6 Min: 0.69 / Avg: 0.69 / Max: 0.7 Min: 0.84 / Avg: 0.84 / Max: 0.85 Min: 0.92 / Avg: 0.92 / Max: 0.93 Min: 1.15 / Avg: 1.15 / Max: 1.16 Min: 1.65 / Avg: 1.66 / Max: 1.66 Min: 1.71 / Avg: 1.71 / Max: 1.72 Min: 1.8 / Avg: 1.81 / Max: 1.81 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 100 - Mode: Read Only EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 160K 320K 480K 640K 800K SE +/- 969.08, N = 3 SE +/- 683.10, N = 3 SE +/- 241.14, N = 3 SE +/- 4530.06, N = 3 SE +/- 827.25, N = 3 SE +/- 1797.71, N = 3 SE +/- 2221.89, N = 3 SE +/- 546.50, N = 3 SE +/- 111.05, N = 3 SE +/- 1887.75, N = 3 SE +/- 177.44, N = 3 SE +/- 470.31, N = 3 SE +/- 1670.95, N = 3 SE +/- 1232.15, N = 3 SE +/- 389.05, N = 3 SE +/- 966.61, N = 3 SE +/- 329.91, N = 3 SE +/- 305.74, N = 3 SE +/- 205.85, N = 3 SE +/- 254.87, N = 3 427421 315464 177920 727901 743304 663004 649224 531391 466511 492677 495910 455775 407055 358726 298191 282418 228748 158436 156630 153957 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result Confidence
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 100 - Mode: Read Only EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 130K 260K 390K 520K 650K Min: 425483.96 / Avg: 427421.1 / Max: 428444.12 Min: 314189.87 / Avg: 315463.89 / Max: 316528.12 Min: 177454.45 / Avg: 177919.83 / Max: 178262.11 Min: 720293.42 / Avg: 727901.14 / Max: 735966.03 Min: 742300.99 / Avg: 743304.49 / Max: 744945.44 Min: 659437.26 / Avg: 663004.17 / Max: 665178.95 Min: 645401.97 / Avg: 649223.99 / Max: 653098.28 Min: 530679.58 / Avg: 531390.67 / Max: 532465.07 Min: 466312.01 / Avg: 466511.04 / Max: 466695.91 Min: 490194.35 / Avg: 492676.87 / Max: 496381.59 Min: 495717.03 / Avg: 495910.37 / Max: 496264.76 Min: 454920.9 / Avg: 455775.26 / Max: 456543.22 Min: 403723.1 / Avg: 407054.86 / Max: 408946.14 Min: 356400.28 / Avg: 358726.15 / Max: 360594.31 Min: 297431.92 / Avg: 298190.97 / Max: 298718.73 Min: 281209.04 / Avg: 282418.32 / Max: 284329.18 Min: 228141.19 / Avg: 228748.21 / Max: 229275.69 Min: 157865.28 / Avg: 158436.38 / Max: 158911.19 Min: 156252.68 / Avg: 156629.93 / Max: 156961.35 Min: 153447.84 / Avg: 153956.74 / Max: 154236.45 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 0.7793 1.5586 2.3379 3.1172 3.8965 SE +/- 0.002303, N = 3 SE +/- 0.000682, N = 3 SE +/- 0.009985, N = 3 SE +/- 0.000923, N = 3 SE +/- 0.001863, N = 3 SE +/- 0.001383, N = 3 SE +/- 0.002251, N = 3 SE +/- 0.001175, N = 3 SE +/- 0.002118, N = 3 SE +/- 0.001858, N = 3 SE +/- 0.002388, N = 3 SE +/- 0.003046, N = 3 SE +/- 0.003515, N = 3 SE +/- 0.004607, N = 3 SE +/- 0.001101, N = 3 SE +/- 0.004830, N = 3 SE +/- 0.007608, N = 3 SE +/- 0.006361, N = 3 SE +/- 0.016593, N = 3 SE +/- 0.004002, N = 3 1.065380 1.411110 2.771650 0.808188 0.719245 0.787011 0.806585 0.904213 1.070150 0.964679 0.988117 1.044080 1.153190 1.417550 1.610260 1.755500 2.349540 3.068100 3.463720 3.214030 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 2 4 6 8 10 Min: 1.06 / Avg: 1.07 / Max: 1.07 Min: 1.41 / Avg: 1.41 / Max: 1.41 Min: 2.75 / Avg: 2.77 / Max: 2.78 Min: 0.81 / Avg: 0.81 / Max: 0.81 Min: 0.72 / Avg: 0.72 / Max: 0.72 Min: 0.79 / Avg: 0.79 / Max: 0.79 Min: 0.8 / Avg: 0.81 / Max: 0.81 Min: 0.9 / Avg: 0.9 / Max: 0.91 Min: 1.07 / Avg: 1.07 / Max: 1.07 Min: 0.96 / Avg: 0.96 / Max: 0.97 Min: 0.99 / Avg: 0.99 / Max: 0.99 Min: 1.04 / Avg: 1.04 / Max: 1.05 Min: 1.15 / Avg: 1.15 / Max: 1.16 Min: 1.41 / Avg: 1.42 / Max: 1.43 Min: 1.61 / Avg: 1.61 / Max: 1.61 Min: 1.75 / Avg: 1.76 / Max: 1.76 Min: 2.34 / Avg: 2.35 / Max: 2.36 Min: 3.06 / Avg: 3.07 / Max: 3.08 Min: 3.43 / Avg: 3.46 / Max: 3.49 Min: 3.21 / Avg: 3.21 / Max: 3.22 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
PostgreSQL pgbench This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 100 - Mode: Read Only - Average Latency EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 0.1463 0.2926 0.4389 0.5852 0.7315 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 0.234 0.317 0.562 0.138 0.135 0.151 0.154 0.189 0.215 0.203 0.202 0.220 0.246 0.279 0.336 0.354 0.438 0.632 0.639 0.650 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 100 - Mode: Read Only - Average Latency EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 2 4 6 8 10 Min: 0.23 / Avg: 0.23 / Max: 0.24 Min: 0.32 / Avg: 0.32 / Max: 0.32 Min: 0.56 / Avg: 0.56 / Max: 0.56 Min: 0.14 / Avg: 0.14 / Max: 0.14 Min: 0.13 / Avg: 0.13 / Max: 0.14 Min: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.15 / Avg: 0.15 / Max: 0.16 Min: 0.19 / Avg: 0.19 / Max: 0.19 Min: 0.22 / Avg: 0.22 / Max: 0.22 Min: 0.2 / Avg: 0.2 / Max: 0.2 Min: 0.2 / Avg: 0.2 / Max: 0.2 Min: 0.22 / Avg: 0.22 / Max: 0.22 Min: 0.25 / Avg: 0.25 / Max: 0.25 Min: 0.28 / Avg: 0.28 / Max: 0.28 Min: 0.34 / Avg: 0.34 / Max: 0.34 Min: 0.35 / Avg: 0.35 / Max: 0.36 Min: 0.44 / Avg: 0.44 / Max: 0.44 Min: 0.63 / Avg: 0.63 / Max: 0.63 Min: 0.64 / Avg: 0.64 / Max: 0.64 Min: 0.65 / Avg: 0.65 / Max: 0.65 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 - Engine: CPU EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 2 4 6 8 10 SE +/- 0.00420, N = 3 SE +/- 0.00475, N = 3 SE +/- 0.03536, N = 3 SE +/- 0.00129, N = 3 SE +/- 0.00706, N = 3 SE +/- 0.00727, N = 3 SE +/- 0.01046, N = 3 SE +/- 0.00585, N = 3 SE +/- 0.00968, N = 3 SE +/- 0.00223, N = 3 SE +/- 0.00981, N = 3 SE +/- 0.01238, N = 3 SE +/- 0.04018, N = 3 SE +/- 0.02965, N = 3 SE +/- 0.00937, N = 3 SE +/- 0.00325, N = 3 SE +/- 0.00826, N = 3 SE +/- 0.00392, N = 3 SE +/- 0.01899, N = 3 SE +/- 0.01674, N = 3 2.18628 2.85775 5.76680 1.57850 1.45860 1.55827 1.57190 1.89790 2.07830 2.00515 2.02097 2.14353 2.45058 2.81942 3.43344 3.41483 4.75589 6.33812 7.00609 6.80051 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 - Engine: CPU EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 Min: 2.18 / Avg: 2.19 / Max: 2.19 Min: 2.85 / Avg: 2.86 / Max: 2.87 Min: 5.71 / Avg: 5.77 / Max: 5.83 Min: 1.58 / Avg: 1.58 / Max: 1.58 Min: 1.45 / Avg: 1.46 / Max: 1.47 Min: 1.55 / Avg: 1.56 / Max: 1.57 Min: 1.56 / Avg: 1.57 / Max: 1.59 Min: 1.89 / Avg: 1.9 / Max: 1.91 Min: 2.06 / Avg: 2.08 / Max: 2.09 Min: 2 / Avg: 2.01 / Max: 2.01 Min: 2 / Avg: 2.02 / Max: 2.04 Min: 2.13 / Avg: 2.14 / Max: 2.17 Min: 2.37 / Avg: 2.45 / Max: 2.51 Min: 2.76 / Avg: 2.82 / Max: 2.85 Min: 3.42 / Avg: 3.43 / Max: 3.45 Min: 3.41 / Avg: 3.41 / Max: 3.42 Min: 4.74 / Avg: 4.76 / Max: 4.77 Min: 6.33 / Avg: 6.34 / Max: 6.34 Min: 6.98 / Avg: 7.01 / Max: 7.04 Min: 6.77 / Avg: 6.8 / Max: 6.83 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
PostgreSQL pgbench This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1000 - Clients: 100 - Mode: Read Only EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 150K 300K 450K 600K 750K SE +/- 269.40, N = 3 SE +/- 578.92, N = 3 SE +/- 440.23, N = 3 SE +/- 3649.95, N = 3 SE +/- 1979.45, N = 3 SE +/- 4128.12, N = 3 SE +/- 2561.67, N = 3 SE +/- 1742.02, N = 3 SE +/- 534.92, N = 3 SE +/- 484.01, N = 3 SE +/- 1456.20, N = 3 SE +/- 481.91, N = 3 SE +/- 1253.21, N = 3 SE +/- 647.23, N = 3 SE +/- 221.72, N = 3 SE +/- 237.11, N = 3 SE +/- 317.07, N = 3 SE +/- 122.43, N = 3 SE +/- 282.55, N = 3 SE +/- 116.38, N = 3 408226 299776 169323 683975 703406 631040 623171 506125 445001 475214 473444 438754 392376 345271 283951 272783 219503 150221 149308 147105 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result Confidence
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1000 - Clients: 100 - Mode: Read Only EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 120K 240K 360K 480K 600K Min: 407943.45 / Avg: 408226.49 / Max: 408765.06 Min: 298700.71 / Avg: 299775.71 / Max: 300685.69 Min: 168770.72 / Avg: 169322.65 / Max: 170192.71 Min: 677575.99 / Avg: 683975.18 / Max: 690216.83 Min: 700059.48 / Avg: 703406.49 / Max: 706911.07 Min: 623626.35 / Avg: 631039.66 / Max: 637893.74 Min: 618057.73 / Avg: 623171.49 / Max: 625999.8 Min: 502686.88 / Avg: 506124.8 / Max: 508333.05 Min: 444155.82 / Avg: 445000.55 / Max: 445991.47 Min: 474343.21 / Avg: 475213.99 / Max: 476015.6 Min: 471852.79 / Avg: 473444.33 / Max: 476352.39 Min: 437804.64 / Avg: 438753.97 / Max: 439372.84 Min: 390015.68 / Avg: 392375.76 / Max: 394286.62 Min: 344389.34 / Avg: 345271.42 / Max: 346532.94 Min: 283511.64 / Avg: 283950.66 / Max: 284224.23 Min: 272354.55 / Avg: 272782.71 / Max: 273173.35 Min: 219004.1 / Avg: 219503.27 / Max: 220091.57 Min: 150063.06 / Avg: 150220.92 / Max: 150461.96 Min: 148785.99 / Avg: 149307.5 / Max: 149756.72 Min: 146879.97 / Avg: 147104.64 / Max: 147269.66 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1000 - Clients: 100 - Mode: Read Only - Average Latency EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 0.153 0.306 0.459 0.612 0.765 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 0.245 0.334 0.591 0.146 0.143 0.159 0.161 0.198 0.225 0.211 0.211 0.228 0.255 0.290 0.352 0.367 0.456 0.666 0.670 0.680 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1000 - Clients: 100 - Mode: Read Only - Average Latency EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 2 4 6 8 10 Min: 0.25 / Avg: 0.25 / Max: 0.25 Min: 0.33 / Avg: 0.33 / Max: 0.34 Min: 0.59 / Avg: 0.59 / Max: 0.59 Min: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.14 / Avg: 0.14 / Max: 0.14 Min: 0.16 / Avg: 0.16 / Max: 0.16 Min: 0.16 / Avg: 0.16 / Max: 0.16 Min: 0.2 / Avg: 0.2 / Max: 0.2 Min: 0.23 / Avg: 0.23 / Max: 0.23 Min: 0.21 / Avg: 0.21 / Max: 0.21 Min: 0.21 / Avg: 0.21 / Max: 0.21 Min: 0.23 / Avg: 0.23 / Max: 0.23 Min: 0.25 / Avg: 0.26 / Max: 0.26 Min: 0.29 / Avg: 0.29 / Max: 0.29 Min: 0.35 / Avg: 0.35 / Max: 0.35 Min: 0.37 / Avg: 0.37 / Max: 0.37 Min: 0.46 / Avg: 0.46 / Max: 0.46 Min: 0.67 / Avg: 0.67 / Max: 0.67 Min: 0.67 / Avg: 0.67 / Max: 0.67 Min: 0.68 / Avg: 0.68 / Max: 0.68 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
TensorFlow Lite This is a benchmark of the TensorFlow Lite implementation. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Mobilenet Float EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 40K 80K 120K 160K 200K SE +/- 76.57, N = 3 SE +/- 89.89, N = 3 SE +/- 145.83, N = 3 SE +/- 138.57, N = 3 SE +/- 64.61, N = 3 SE +/- 94.61, N = 3 SE +/- 35.66, N = 3 SE +/- 23.48, N = 3 SE +/- 133.33, N = 3 SE +/- 22.72, N = 3 SE +/- 62.14, N = 3 SE +/- 122.28, N = 3 SE +/- 233.89, N = 3 SE +/- 79.13, N = 3 SE +/- 74.39, N = 3 SE +/- 28.02, N = 3 SE +/- 28.32, N = 3 SE +/- 319.47, N = 3 SE +/- 384.36, N = 3 SE +/- 17.29, N = 3 59952.8 68647.0 139149.0 46464.0 37901.1 47246.1 50064.0 44046.0 50965.7 47163.9 47132.4 51004.7 62532.0 75486.4 80410.4 84104.2 120293.0 160652.0 171635.0 161011.0
Result Confidence
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Mobilenet Float EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 30K 60K 90K 120K 150K Min: 59823.5 / Avg: 59952.77 / Max: 60088.5 Min: 68468.5 / Avg: 68647 / Max: 68754.8 Min: 138882 / Avg: 139149.33 / Max: 139384 Min: 46220.9 / Avg: 46464.03 / Max: 46700.8 Min: 37813.3 / Avg: 37901.1 / Max: 38027.1 Min: 47060.9 / Avg: 47246.07 / Max: 47372.4 Min: 49993.7 / Avg: 50063.97 / Max: 50109.7 Min: 44006.7 / Avg: 44046 / Max: 44087.9 Min: 50767.5 / Avg: 50965.7 / Max: 51219.3 Min: 47120.1 / Avg: 47163.93 / Max: 47196.2 Min: 47008.3 / Avg: 47132.37 / Max: 47200.6 Min: 50760.8 / Avg: 51004.7 / Max: 51142.1 Min: 62071.6 / Avg: 62532.03 / Max: 62833.8 Min: 75371.5 / Avg: 75486.4 / Max: 75638.1 Min: 80332.6 / Avg: 80410.37 / Max: 80559.1 Min: 84048.5 / Avg: 84104.23 / Max: 84137.2 Min: 120245 / Avg: 120292.67 / Max: 120343 Min: 160061 / Avg: 160651.67 / Max: 161158 Min: 170868 / Avg: 171635 / Max: 172063 Min: 160990 / Avg: 161010.67 / Max: 161045
Result
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Mobilenet Quant EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 40K 80K 120K 160K 200K SE +/- 124.60, N = 3 SE +/- 125.94, N = 3 SE +/- 82.35, N = 3 SE +/- 139.32, N = 3 SE +/- 56.13, N = 3 SE +/- 76.67, N = 3 SE +/- 55.04, N = 3 SE +/- 125.75, N = 3 SE +/- 121.23, N = 3 SE +/- 40.64, N = 3 SE +/- 5.65, N = 3 SE +/- 134.69, N = 3 SE +/- 246.17, N = 3 SE +/- 93.48, N = 3 SE +/- 98.40, N = 3 SE +/- 105.24, N = 3 SE +/- 51.29, N = 3 SE +/- 331.41, N = 3 SE +/- 126.18, N = 3 SE +/- 28.35, N = 3 60900.5 69915.6 141836.0 48294.1 38559.7 48548.3 51905.1 44940.0 51690.4 47938.6 47944.5 51794.5 63770.3 76578.7 82153.3 85334.2 122845.0 163904.0 174503.0 164541.0
Result Confidence
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Mobilenet Quant EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 30K 60K 90K 120K 150K Min: 60677.9 / Avg: 60900.53 / Max: 61108.8 Min: 69746.7 / Avg: 69915.63 / Max: 70161.9 Min: 141751 / Avg: 141836.33 / Max: 142001 Min: 48081.2 / Avg: 48294.07 / Max: 48556.2 Min: 38450.4 / Avg: 38559.7 / Max: 38636.5 Min: 48399.1 / Avg: 48548.33 / Max: 48653.5 Min: 51828.7 / Avg: 51905.07 / Max: 52011.9 Min: 44691.4 / Avg: 44939.97 / Max: 45097.4 Min: 51472.8 / Avg: 51690.43 / Max: 51891.8 Min: 47857.4 / Avg: 47938.63 / Max: 47981.5 Min: 47933.7 / Avg: 47944.47 / Max: 47952.8 Min: 51558.9 / Avg: 51794.53 / Max: 52025.4 Min: 63346.4 / Avg: 63770.3 / Max: 64199.1 Min: 76447.6 / Avg: 76578.73 / Max: 76759.7 Min: 82040.7 / Avg: 82153.33 / Max: 82349.4 Min: 85157.5 / Avg: 85334.2 / Max: 85521.6 Min: 122779 / Avg: 122845 / Max: 122946 Min: 163345 / Avg: 163904.33 / Max: 164492 Min: 174332 / Avg: 174502.67 / Max: 174749 Min: 164487 / Avg: 164541 / Max: 164583
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 SE +/- 0.00248, N = 3 SE +/- 0.01291, N = 3 SE +/- 0.03437, N = 3 SE +/- 0.04321, N = 3 SE +/- 0.00212, N = 3 SE +/- 0.02643, N = 3 SE +/- 0.00832, N = 3 SE +/- 0.00944, N = 3 SE +/- 0.02822, N = 3 SE +/- 0.02092, N = 3 SE +/- 0.04392, N = 3 SE +/- 0.03440, N = 3 SE +/- 0.04603, N = 5 SE +/- 0.03719, N = 3 SE +/- 0.05093, N = 3 SE +/- 0.07609, N = 12 SE +/- 0.10311, N = 3 SE +/- 0.01574, N = 3 SE +/- 0.05418, N = 3 SE +/- 0.17338, N = 15 3.06396 4.02047 6.98497 2.89609 2.38156 2.38303 2.53147 3.54460 3.80272 3.69676 3.88586 3.76741 3.73096 4.24031 5.29105 5.73573 6.96020 7.92355 8.64768 10.59006 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 Min: 3.06 / Avg: 3.06 / Max: 3.07 Min: 4 / Avg: 4.02 / Max: 4.04 Min: 6.94 / Avg: 6.98 / Max: 7.05 Min: 2.83 / Avg: 2.9 / Max: 2.97 Min: 2.38 / Avg: 2.38 / Max: 2.39 Min: 2.35 / Avg: 2.38 / Max: 2.44 Min: 2.52 / Avg: 2.53 / Max: 2.55 Min: 3.53 / Avg: 3.54 / Max: 3.56 Min: 3.77 / Avg: 3.8 / Max: 3.86 Min: 3.67 / Avg: 3.7 / Max: 3.74 Min: 3.82 / Avg: 3.89 / Max: 3.97 Min: 3.72 / Avg: 3.77 / Max: 3.83 Min: 3.57 / Avg: 3.73 / Max: 3.85 Min: 4.18 / Avg: 4.24 / Max: 4.3 Min: 5.21 / Avg: 5.29 / Max: 5.38 Min: 5.47 / Avg: 5.74 / Max: 6.46 Min: 6.79 / Avg: 6.96 / Max: 7.14 Min: 7.9 / Avg: 7.92 / Max: 7.95 Min: 8.57 / Avg: 8.65 / Max: 8.75 Min: 9.83 / Avg: 10.59 / Max: 12.11 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
PostgreSQL pgbench This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1000 - Clients: 50 - Mode: Read Only EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 140K 280K 420K 560K 700K SE +/- 1376.11, N = 3 SE +/- 760.44, N = 3 SE +/- 410.57, N = 3 SE +/- 1659.83, N = 3 SE +/- 612.15, N = 3 SE +/- 1013.03, N = 3 SE +/- 538.07, N = 3 SE +/- 855.42, N = 3 SE +/- 4360.78, N = 3 SE +/- 1326.84, N = 3 SE +/- 167.60, N = 3 SE +/- 1307.57, N = 3 SE +/- 1172.74, N = 3 SE +/- 4015.34, N = 3 SE +/- 210.97, N = 3 SE +/- 860.38, N = 3 SE +/- 398.28, N = 3 SE +/- 249.03, N = 3 SE +/- 336.86, N = 3 SE +/- 286.53, N = 3 435226 294909 161102 607575 633598 562236 536335 480664 454581 452444 454418 433630 398910 356698 270875 263984 204685 142856 144134 145057 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result Confidence
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1000 - Clients: 50 - Mode: Read Only EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 110K 220K 330K 440K 550K Min: 432870.8 / Avg: 435226.23 / Max: 437636.85 Min: 294099.18 / Avg: 294908.85 / Max: 296428.63 Min: 160460.54 / Avg: 161102.44 / Max: 161866.88 Min: 604567.98 / Avg: 607575.16 / Max: 610296.44 Min: 632438.66 / Avg: 633598.25 / Max: 634518.17 Min: 560347.38 / Avg: 562236.39 / Max: 563815.25 Min: 535427.04 / Avg: 536334.68 / Max: 537289.19 Min: 478981.64 / Avg: 480664.49 / Max: 481772.8 Min: 445915.12 / Avg: 454581.17 / Max: 459765.01 Min: 450197.59 / Avg: 452444.24 / Max: 454790.64 Min: 454144.33 / Avg: 454417.73 / Max: 454722.38 Min: 431757.16 / Avg: 433629.6 / Max: 436146.86 Min: 396826.2 / Avg: 398910.04 / Max: 400884.24 Min: 348813.87 / Avg: 356697.84 / Max: 361963.13 Min: 270580.77 / Avg: 270875.21 / Max: 271284.17 Min: 262374.62 / Avg: 263983.97 / Max: 265316.13 Min: 204217.79 / Avg: 204684.58 / Max: 205476.96 Min: 142388.22 / Avg: 142856.38 / Max: 143237.67 Min: 143572.54 / Avg: 144133.83 / Max: 144737.19 Min: 144518.75 / Avg: 145057.16 / Max: 145496.32 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
IndigoBench This is a test of Indigo Renderer's IndigoBench benchmark. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org M samples/s, More Is Better IndigoBench 4.0.64 Scene: Supercar EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 SE +/- 0.019, N = 3 SE +/- 0.011, N = 3 SE +/- 0.005, N = 3 SE +/- 0.032, N = 3 SE +/- 0.027, N = 3 SE +/- 0.010, N = 3 SE +/- 0.004, N = 3 SE +/- 0.014, N = 3 SE +/- 0.013, N = 3 SE +/- 0.007, N = 3 SE +/- 0.011, N = 3 SE +/- 0.036, N = 3 SE +/- 0.008, N = 3 SE +/- 0.010, N = 3 SE +/- 0.004, N = 3 SE +/- 0.003, N = 3 SE +/- 0.005, N = 3 SE +/- 0.008, N = 3 SE +/- 0.002, N = 3 SE +/- 0.004, N = 3 7.099 5.089 2.578 9.237 9.418 8.690 8.884 8.374 7.549 8.031 7.828 7.641 6.826 5.991 4.589 4.482 3.422 2.343 2.256 2.124
Result Confidence
OpenBenchmarking.org M samples/s, More Is Better IndigoBench 4.0.64 Scene: Supercar EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 Min: 7.08 / Avg: 7.1 / Max: 7.14 Min: 5.07 / Avg: 5.09 / Max: 5.11 Min: 2.57 / Avg: 2.58 / Max: 2.59 Min: 9.18 / Avg: 9.24 / Max: 9.28 Min: 9.38 / Avg: 9.42 / Max: 9.47 Min: 8.67 / Avg: 8.69 / Max: 8.71 Min: 8.88 / Avg: 8.88 / Max: 8.89 Min: 8.35 / Avg: 8.37 / Max: 8.39 Min: 7.53 / Avg: 7.55 / Max: 7.57 Min: 8.02 / Avg: 8.03 / Max: 8.04 Min: 7.81 / Avg: 7.83 / Max: 7.85 Min: 7.59 / Avg: 7.64 / Max: 7.71 Min: 6.82 / Avg: 6.83 / Max: 6.84 Min: 5.98 / Avg: 5.99 / Max: 6.01 Min: 4.58 / Avg: 4.59 / Max: 4.6 Min: 4.48 / Avg: 4.48 / Max: 4.49 Min: 3.42 / Avg: 3.42 / Max: 3.43 Min: 2.33 / Avg: 2.34 / Max: 2.36 Min: 2.25 / Avg: 2.26 / Max: 2.26 Min: 2.12 / Avg: 2.12 / Max: 2.13
PostgreSQL pgbench This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1000 - Clients: 50 - Mode: Read Only - Average Latency EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 0.0788 0.1576 0.2364 0.3152 0.394 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.002, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 0.115 0.170 0.311 0.082 0.079 0.089 0.093 0.104 0.110 0.111 0.110 0.116 0.125 0.140 0.185 0.190 0.244 0.350 0.347 0.345 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1000 - Clients: 50 - Mode: Read Only - Average Latency EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 1 2 3 4 5 Min: 0.11 / Avg: 0.12 / Max: 0.12 Min: 0.17 / Avg: 0.17 / Max: 0.17 Min: 0.31 / Avg: 0.31 / Max: 0.31 Min: 0.08 / Avg: 0.08 / Max: 0.08 Min: 0.08 / Avg: 0.08 / Max: 0.08 Min: 0.09 / Avg: 0.09 / Max: 0.09 Min: 0.09 / Avg: 0.09 / Max: 0.09 Min: 0.1 / Avg: 0.1 / Max: 0.1 Min: 0.11 / Avg: 0.11 / Max: 0.11 Min: 0.11 / Avg: 0.11 / Max: 0.11 Min: 0.11 / Avg: 0.11 / Max: 0.11 Min: 0.12 / Avg: 0.12 / Max: 0.12 Min: 0.13 / Avg: 0.13 / Max: 0.13 Min: 0.14 / Avg: 0.14 / Max: 0.14 Min: 0.18 / Avg: 0.18 / Max: 0.19 Min: 0.19 / Avg: 0.19 / Max: 0.19 Min: 0.24 / Avg: 0.24 / Max: 0.25 Min: 0.35 / Avg: 0.35 / Max: 0.35 Min: 0.35 / Avg: 0.35 / Max: 0.35 Min: 0.34 / Avg: 0.35 / Max: 0.35 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
TensorFlow Lite This is a benchmark of the TensorFlow Lite implementation. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: SqueezeNet EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 50K 100K 150K 200K 250K SE +/- 199.04, N = 3 SE +/- 152.59, N = 3 SE +/- 69.41, N = 3 SE +/- 209.40, N = 3 SE +/- 79.43, N = 3 SE +/- 79.18, N = 3 SE +/- 80.59, N = 3 SE +/- 47.46, N = 3 SE +/- 39.76, N = 3 SE +/- 51.28, N = 3 SE +/- 101.90, N = 3 SE +/- 113.63, N = 3 SE +/- 115.19, N = 3 SE +/- 143.58, N = 3 SE +/- 29.76, N = 3 SE +/- 53.20, N = 3 SE +/- 38.16, N = 3 SE +/- 235.23, N = 3 SE +/- 136.62, N = 3 SE +/- 85.27, N = 3 89145.6 106967.0 207979.0 75223.6 57128.8 66999.3 70232.8 71361.3 82550.0 75779.3 75772.2 81778.7 93759.8 109217.0 124126.0 128772.0 177799.0 239371.0 253065.0 243111.0
Result Confidence
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: SqueezeNet EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 40K 80K 120K 160K 200K Min: 88842 / Avg: 89145.63 / Max: 89520.4 Min: 106761 / Avg: 106967 / Max: 107265 Min: 207886 / Avg: 207979.33 / Max: 208115 Min: 74900.1 / Avg: 75223.6 / Max: 75615.7 Min: 56971.7 / Avg: 57128.77 / Max: 57227.9 Min: 66887.1 / Avg: 66999.33 / Max: 67152.2 Min: 70145.6 / Avg: 70232.8 / Max: 70393.8 Min: 71268.1 / Avg: 71361.3 / Max: 71423.5 Min: 82487 / Avg: 82549.97 / Max: 82623.5 Min: 75682.8 / Avg: 75779.33 / Max: 75857.6 Min: 75583.9 / Avg: 75772.17 / Max: 75933.9 Min: 81590.6 / Avg: 81778.7 / Max: 81983.2 Min: 93529.5 / Avg: 93759.83 / Max: 93879.1 Min: 108943 / Avg: 109217.33 / Max: 109428 Min: 124076 / Avg: 124126.33 / Max: 124179 Min: 128683 / Avg: 128772 / Max: 128867 Min: 177735 / Avg: 177799 / Max: 177867 Min: 239073 / Avg: 239370.67 / Max: 239835 Min: 252796 / Avg: 253065 / Max: 253241 Min: 242947 / Avg: 243110.67 / Max: 243234
Stress-NG Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Socket Activity EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 4K 8K 12K 16K 20K SE +/- 1.50, N = 3 SE +/- 53.13, N = 3 SE +/- 49.91, N = 3 SE +/- 20.23, N = 3 SE +/- 99.95, N = 3 SE +/- 99.71, N = 3 SE +/- 130.50, N = 3 SE +/- 27.89, N = 3 SE +/- 175.10, N = 3 SE +/- 36.22, N = 3 SE +/- 28.81, N = 3 SE +/- 30.42, N = 3 SE +/- 24.57, N = 3 SE +/- 150.74, N = 3 SE +/- 33.67, N = 3 SE +/- 6.33, N = 3 SE +/- 113.89, N = 3 SE +/- 9.64, N = 3 SE +/- 8.48, N = 3 SE +/- 36.64, N = 3 12692.91 9368.26 5244.21 19463.86 19039.37 18133.98 17296.84 15411.07 14049.76 14442.21 14448.04 13412.97 12003.26 11202.38 8429.01 8104.19 6799.13 4698.64 4485.46 4400.48 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
Result Confidence
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Socket Activity EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 3K 6K 9K 12K 15K Min: 12689.93 / Avg: 12692.91 / Max: 12694.72 Min: 9270.87 / Avg: 9368.26 / Max: 9453.78 Min: 5145.21 / Avg: 5244.21 / Max: 5304.74 Min: 19434.91 / Avg: 19463.86 / Max: 19502.82 Min: 18849.83 / Avg: 19039.37 / Max: 19189.15 Min: 17935.45 / Avg: 18133.98 / Max: 18249.55 Min: 17069.15 / Avg: 17296.84 / Max: 17521.19 Min: 15360.66 / Avg: 15411.07 / Max: 15456.97 Min: 13699.8 / Avg: 14049.76 / Max: 14235.86 Min: 14373.73 / Avg: 14442.21 / Max: 14496.92 Min: 14397.87 / Avg: 14448.04 / Max: 14497.67 Min: 13355.04 / Avg: 13412.97 / Max: 13458.06 Min: 11955.06 / Avg: 12003.26 / Max: 12035.6 Min: 10906.58 / Avg: 11202.38 / Max: 11400.71 Min: 8367.15 / Avg: 8429.01 / Max: 8482.97 Min: 8091.91 / Avg: 8104.19 / Max: 8112.97 Min: 6585.28 / Avg: 6799.13 / Max: 6973.97 Min: 4682.49 / Avg: 4698.64 / Max: 4715.82 Min: 4470.63 / Avg: 4485.46 / Max: 4499.99 Min: 4356.82 / Avg: 4400.48 / Max: 4473.28 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
PostgreSQL pgbench This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 50 - Mode: Read Only EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 140K 280K 420K 560K 700K SE +/- 3216.95, N = 3 SE +/- 4054.87, N = 3 SE +/- 355.78, N = 3 SE +/- 1696.19, N = 3 SE +/- 3697.32, N = 3 SE +/- 8591.53, N = 3 SE +/- 1435.30, N = 3 SE +/- 4023.11, N = 3 SE +/- 2525.65, N = 3 SE +/- 918.89, N = 3 SE +/- 2498.86, N = 3 SE +/- 2589.99, N = 3 SE +/- 737.75, N = 3 SE +/- 1476.34, N = 3 SE +/- 1102.05, N = 3 SE +/- 188.91, N = 3 SE +/- 495.78, N = 3 SE +/- 365.30, N = 3 SE +/- 59.09, N = 3 SE +/- 149.15, N = 3 461915 309222 169779 627200 662148 584324 561006 496135 479309 476054 473689 448194 422751 375491 283189 275173 212371 149789 150038 150981 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result Confidence
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 50 - Mode: Read Only EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 110K 220K 330K 440K 550K Min: 455559.41 / Avg: 461914.86 / Max: 465960.07 Min: 301122.23 / Avg: 309222.34 / Max: 313614.47 Min: 169162.65 / Avg: 169778.88 / Max: 170395.1 Min: 625341.73 / Avg: 627200.25 / Max: 630587.26 Min: 655584.32 / Avg: 662147.98 / Max: 668379.25 Min: 567149.65 / Avg: 584324.1 / Max: 593382.73 Min: 558840.46 / Avg: 561005.84 / Max: 563720.58 Min: 488299.95 / Avg: 496135.11 / Max: 501638.24 Min: 475531.25 / Avg: 479308.72 / Max: 484101.72 Min: 474618.02 / Avg: 476053.91 / Max: 477765.2 Min: 468862.37 / Avg: 473688.87 / Max: 477225.34 Min: 443042.26 / Avg: 448194.42 / Max: 451234.84 Min: 421326.32 / Avg: 422751.18 / Max: 423795.51 Min: 373949.43 / Avg: 375491.2 / Max: 378442.89 Min: 281583.18 / Avg: 283188.99 / Max: 285299.4 Min: 274874.9 / Avg: 275173.32 / Max: 275523.21 Min: 211623.16 / Avg: 212371.49 / Max: 213309.04 Min: 149174.95 / Avg: 149789.36 / Max: 150438.91 Min: 149922.88 / Avg: 150037.64 / Max: 150119.45 Min: 150724.14 / Avg: 150981.09 / Max: 151240.8 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 50 - Mode: Read Only EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 200K 400K 600K 800K 1000K SE +/- 5262.76, N = 3 SE +/- 5158.94, N = 4 SE +/- 760.23, N = 3 SE +/- 2327.18, N = 3 SE +/- 4185.25, N = 3 SE +/- 4606.47, N = 3 SE +/- 774.72, N = 3 SE +/- 3763.31, N = 3 SE +/- 5976.20, N = 3 SE +/- 2812.71, N = 3 SE +/- 4110.48, N = 3 SE +/- 1722.05, N = 3 SE +/- 634.95, N = 3 SE +/- 1956.29, N = 3 SE +/- 412.90, N = 3 SE +/- 3586.19, N = 3 SE +/- 1323.33, N = 3 SE +/- 266.25, N = 3 SE +/- 609.77, N = 3 SE +/- 751.04, N = 3 634561 394967 210214 757534 785917 701580 656678 537605 508910 506342 510664 481548 582296 500818 345027 336368 257573 183458 178695 180148 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result Confidence
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 50 - Mode: Read Only EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 140K 280K 420K 560K 700K Min: 624142.08 / Avg: 634561 / Max: 641064.42 Min: 385982.64 / Avg: 394967.22 / Max: 408822.68 Min: 208973.57 / Avg: 210214.04 / Max: 211595.71 Min: 753723.52 / Avg: 757534.07 / Max: 761753.9 Min: 780235.38 / Avg: 785916.8 / Max: 794081.04 Min: 696000.94 / Avg: 701579.61 / Max: 710718.54 Min: 655132.62 / Avg: 656678.07 / Max: 657547.1 Min: 533339.97 / Avg: 537605.07 / Max: 545108.31 Min: 502276.92 / Avg: 508909.53 / Max: 520836.94 Min: 500795.59 / Avg: 506341.5 / Max: 509930.62 Min: 505127.29 / Avg: 510664.49 / Max: 518695.49 Min: 478206.73 / Avg: 481547.66 / Max: 483942.66 Min: 581229 / Avg: 582296.11 / Max: 583425.84 Min: 497670.11 / Avg: 500818.18 / Max: 504404.28 Min: 344295.55 / Avg: 345027.02 / Max: 345724.67 Min: 329201.77 / Avg: 336367.81 / Max: 340212.2 Min: 256160.28 / Avg: 257573.06 / Max: 260217.66 Min: 183091.48 / Avg: 183458.35 / Max: 183976.04 Min: 177644.71 / Avg: 178695.44 / Max: 179756.92 Min: 178655.05 / Avg: 180147.65 / Max: 181039.86 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 50 - Mode: Read Only - Average Latency EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 0.0752 0.1504 0.2256 0.3008 0.376 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 0.108 0.162 0.295 0.080 0.076 0.085 0.089 0.101 0.104 0.105 0.106 0.112 0.118 0.133 0.177 0.182 0.235 0.334 0.333 0.331 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 50 - Mode: Read Only - Average Latency EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 1 2 3 4 5 Min: 0.11 / Avg: 0.11 / Max: 0.11 Min: 0.16 / Avg: 0.16 / Max: 0.17 Min: 0.29 / Avg: 0.29 / Max: 0.3 Min: 0.08 / Avg: 0.08 / Max: 0.08 Min: 0.08 / Avg: 0.08 / Max: 0.08 Min: 0.08 / Avg: 0.09 / Max: 0.09 Min: 0.09 / Avg: 0.09 / Max: 0.09 Min: 0.1 / Avg: 0.1 / Max: 0.1 Min: 0.1 / Avg: 0.1 / Max: 0.11 Min: 0.11 / Avg: 0.11 / Max: 0.11 Min: 0.11 / Avg: 0.11 / Max: 0.11 Min: 0.11 / Avg: 0.11 / Max: 0.11 Min: 0.12 / Avg: 0.12 / Max: 0.12 Min: 0.13 / Avg: 0.13 / Max: 0.13 Min: 0.18 / Avg: 0.18 / Max: 0.18 Min: 0.18 / Avg: 0.18 / Max: 0.18 Min: 0.23 / Avg: 0.24 / Max: 0.24 Min: 0.33 / Avg: 0.33 / Max: 0.34 Min: 0.33 / Avg: 0.33 / Max: 0.33 Min: 0.33 / Avg: 0.33 / Max: 0.33 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 2 4 6 8 10 SE +/- 0.01454, N = 3 SE +/- 0.01584, N = 3 SE +/- 0.04864, N = 8 SE +/- 0.03138, N = 3 SE +/- 0.02396, N = 15 SE +/- 0.00537, N = 3 SE +/- 0.03050, N = 3 SE +/- 0.00481, N = 3 SE +/- 0.00908, N = 3 SE +/- 0.00219, N = 3 SE +/- 0.03266, N = 3 SE +/- 0.01735, N = 3 SE +/- 0.04479, N = 3 SE +/- 0.03746, N = 3 SE +/- 0.02456, N = 3 SE +/- 0.04343, N = 3 SE +/- 0.03491, N = 3 SE +/- 0.00819, N = 3 SE +/- 0.04427, N = 3 SE +/- 0.04339, N = 3 2.04409 2.16598 4.60199 2.71121 2.26438 1.51546 2.14490 3.22663 1.95077 2.82606 2.86349 3.16025 2.96037 3.30438 2.96405 6.11090 6.24150 4.93430 6.63195 6.55394 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 Min: 2.02 / Avg: 2.04 / Max: 2.06 Min: 2.14 / Avg: 2.17 / Max: 2.2 Min: 4.49 / Avg: 4.6 / Max: 4.92 Min: 2.65 / Avg: 2.71 / Max: 2.75 Min: 2.1 / Avg: 2.26 / Max: 2.37 Min: 1.51 / Avg: 1.52 / Max: 1.53 Min: 2.09 / Avg: 2.14 / Max: 2.19 Min: 3.22 / Avg: 3.23 / Max: 3.23 Min: 1.94 / Avg: 1.95 / Max: 1.97 Min: 2.82 / Avg: 2.83 / Max: 2.83 Min: 2.8 / Avg: 2.86 / Max: 2.91 Min: 3.13 / Avg: 3.16 / Max: 3.18 Min: 2.89 / Avg: 2.96 / Max: 3.04 Min: 3.26 / Avg: 3.3 / Max: 3.38 Min: 2.94 / Avg: 2.96 / Max: 3.01 Min: 6.02 / Avg: 6.11 / Max: 6.16 Min: 6.17 / Avg: 6.24 / Max: 6.28 Min: 4.92 / Avg: 4.93 / Max: 4.95 Min: 6.57 / Avg: 6.63 / Max: 6.72 Min: 6.47 / Avg: 6.55 / Max: 6.61 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
PostgreSQL pgbench This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 50 - Mode: Read Only - Average Latency EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 0.063 0.126 0.189 0.252 0.315 SE +/- 0.001, N = 3 SE +/- 0.002, N = 4 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 0.079 0.127 0.238 0.066 0.064 0.071 0.076 0.093 0.098 0.099 0.098 0.104 0.086 0.100 0.145 0.149 0.194 0.273 0.280 0.278 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 50 - Mode: Read Only - Average Latency EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 1 2 3 4 5 Min: 0.08 / Avg: 0.08 / Max: 0.08 Min: 0.12 / Avg: 0.13 / Max: 0.13 Min: 0.24 / Avg: 0.24 / Max: 0.24 Min: 0.07 / Avg: 0.07 / Max: 0.07 Min: 0.06 / Avg: 0.06 / Max: 0.06 Min: 0.07 / Avg: 0.07 / Max: 0.07 Min: 0.08 / Avg: 0.08 / Max: 0.08 Min: 0.09 / Avg: 0.09 / Max: 0.09 Min: 0.1 / Avg: 0.1 / Max: 0.1 Min: 0.1 / Avg: 0.1 / Max: 0.1 Min: 0.1 / Avg: 0.1 / Max: 0.1 Min: 0.1 / Avg: 0.1 / Max: 0.11 Min: 0.09 / Avg: 0.09 / Max: 0.09 Min: 0.1 / Avg: 0.1 / Max: 0.1 Min: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.19 / Avg: 0.19 / Max: 0.2 Min: 0.27 / Avg: 0.27 / Max: 0.27 Min: 0.28 / Avg: 0.28 / Max: 0.28 Min: 0.28 / Avg: 0.28 / Max: 0.28 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Tungsten Renderer Tungsten is a C++ physically based renderer that makes use of Intel's Embree ray tracing library. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Tungsten Renderer 0.2.2 Scene: Hair EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 7 14 21 28 35 SE +/- 0.01623, N = 3 SE +/- 0.04779, N = 3 SE +/- 0.03995, N = 3 SE +/- 0.01530, N = 3 SE +/- 0.04381, N = 3 SE +/- 0.03439, N = 3 SE +/- 0.02805, N = 3 SE +/- 0.01406, N = 3 SE +/- 0.01212, N = 3 SE +/- 0.02559, N = 3 SE +/- 0.02817, N = 3 SE +/- 0.04417, N = 3 SE +/- 0.01654, N = 3 SE +/- 0.05632, N = 3 SE +/- 0.05246, N = 3 SE +/- 0.08758, N = 3 SE +/- 0.04039, N = 3 SE +/- 0.01830, N = 3 SE +/- 0.09439, N = 3 SE +/- 0.10006, N = 3 10.31610 13.05300 25.10930 7.06818 7.05688 8.01491 8.12129 9.15479 10.06000 9.69987 9.74450 10.53010 11.35090 13.04390 15.38170 16.48410 20.34490 28.66640 30.85730 30.83500 1. (CXX) g++ options: -std=c++0x -march=znver1 -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Tungsten Renderer 0.2.2 Scene: Hair EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 7 14 21 28 35 Min: 10.3 / Avg: 10.32 / Max: 10.35 Min: 12.98 / Avg: 13.05 / Max: 13.14 Min: 25.04 / Avg: 25.11 / Max: 25.18 Min: 7.04 / Avg: 7.07 / Max: 7.09 Min: 7 / Avg: 7.06 / Max: 7.14 Min: 7.96 / Avg: 8.01 / Max: 8.08 Min: 8.09 / Avg: 8.12 / Max: 8.18 Min: 9.13 / Avg: 9.15 / Max: 9.17 Min: 10.05 / Avg: 10.06 / Max: 10.08 Min: 9.66 / Avg: 9.7 / Max: 9.75 Min: 9.69 / Avg: 9.74 / Max: 9.79 Min: 10.44 / Avg: 10.53 / Max: 10.58 Min: 11.33 / Avg: 11.35 / Max: 11.38 Min: 12.95 / Avg: 13.04 / Max: 13.14 Min: 15.31 / Avg: 15.38 / Max: 15.48 Min: 16.35 / Avg: 16.48 / Max: 16.65 Min: 20.27 / Avg: 20.34 / Max: 20.41 Min: 28.63 / Avg: 28.67 / Max: 28.7 Min: 30.69 / Avg: 30.86 / Max: 31.02 Min: 30.64 / Avg: 30.84 / Max: 30.97 1. (CXX) g++ options: -std=c++0x -march=znver1 -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl
ebizzy This is a test of ebizzy, a program to generate workloads resembling web server workloads. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Records/s, More Is Better ebizzy 0.3 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 600K 1200K 1800K 2400K 3000K SE +/- 16169.26, N = 11 SE +/- 6477.91, N = 3 SE +/- 5978.53, N = 3 SE +/- 21024.79, N = 13 SE +/- 39160.90, N = 3 SE +/- 39699.95, N = 3 SE +/- 25647.54, N = 15 SE +/- 22468.40, N = 3 SE +/- 17880.35, N = 3 SE +/- 16618.43, N = 3 SE +/- 2330.00, N = 3 SE +/- 15859.94, N = 15 SE +/- 18509.29, N = 3 SE +/- 10570.43, N = 3 SE +/- 11715.02, N = 3 SE +/- 6805.34, N = 3 SE +/- 4551.15, N = 3 SE +/- 6265.32, N = 3 SE +/- 2452.18, N = 3 SE +/- 7205.27, N = 5 1822559 1470326 762256 2571578 2591791 2657818 2328453 2071664 1948887 1839236 1897261 1656161 1686640 1482377 1193703 986225 868519 644878 631618 610628 1. (CC) gcc options: -pthread -lpthread -O3 -march=native
Result Confidence
OpenBenchmarking.org Records/s, More Is Better ebizzy 0.3 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 500K 1000K 1500K 2000K 2500K Min: 1719018 / Avg: 1822558.64 / Max: 1893316 Min: 1458373 / Avg: 1470325.67 / Max: 1480631 Min: 753807 / Avg: 762256.33 / Max: 773808 Min: 2423539 / Avg: 2571578.46 / Max: 2689288 Min: 2516831 / Avg: 2591791 / Max: 2648930 Min: 2583950 / Avg: 2657818 / Max: 2719969 Min: 2175791 / Avg: 2328453 / Max: 2490030 Min: 2041862 / Avg: 2071664.33 / Max: 2115692 Min: 1923349 / Avg: 1948887 / Max: 1983335 Min: 1806283 / Avg: 1839235.67 / Max: 1859468 Min: 1892618 / Avg: 1897261.33 / Max: 1899924 Min: 1522253 / Avg: 1656161.2 / Max: 1737769 Min: 1652517 / Avg: 1686640.33 / Max: 1716131 Min: 1461250 / Avg: 1482377.33 / Max: 1493596 Min: 1172032 / Avg: 1193703.33 / Max: 1212252 Min: 976561 / Avg: 986224.67 / Max: 999357 Min: 859551 / Avg: 868519.33 / Max: 874351 Min: 632353 / Avg: 644877.67 / Max: 651475 Min: 626851 / Avg: 631618.33 / Max: 634999 Min: 592286 / Avg: 610627.6 / Max: 636440 1. (CC) gcc options: -pthread -lpthread -O3 -march=native
TensorFlow Lite This is a benchmark of the TensorFlow Lite implementation. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Inception ResNet V2 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 700K 1400K 2100K 2800K 3500K SE +/- 457.38, N = 3 SE +/- 1498.01, N = 3 SE +/- 1334.67, N = 3 SE +/- 3448.59, N = 3 SE +/- 10740.36, N = 3 SE +/- 1127.21, N = 3 SE +/- 2633.01, N = 3 SE +/- 1189.21, N = 3 SE +/- 309.31, N = 3 SE +/- 654.96, N = 3 SE +/- 303.13, N = 3 SE +/- 447.85, N = 3 SE +/- 2523.85, N = 3 SE +/- 961.47, N = 3 SE +/- 380.19, N = 3 SE +/- 624.08, N = 3 SE +/- 519.05, N = 3 SE +/- 1631.66, N = 3 SE +/- 2626.99, N = 3 SE +/- 1495.89, N = 3 1171270 1346997 2717393 939492 768962 851940 892001 850424 973193 906002 907005 979887 1242963 1457950 1572953 1635677 2276043 3131150 3312693 3147143
Result Confidence
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Inception ResNet V2 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 600K 1200K 1800K 2400K 3000K Min: 1170570 / Avg: 1171270 / Max: 1172130 Min: 1344170 / Avg: 1346996.67 / Max: 1349270 Min: 2714830 / Avg: 2717393.33 / Max: 2719320 Min: 932634 / Avg: 939491.67 / Max: 943559 Min: 748326 / Avg: 768961.67 / Max: 784446 Min: 850031 / Avg: 851939.67 / Max: 853933 Min: 889315 / Avg: 892001.33 / Max: 897267 Min: 848503 / Avg: 850424 / Max: 852599 Min: 972776 / Avg: 973192.67 / Max: 973797 Min: 905180 / Avg: 906001.67 / Max: 907296 Min: 906549 / Avg: 907005 / Max: 907579 Min: 979151 / Avg: 979886.67 / Max: 980697 Min: 1238220 / Avg: 1242963.33 / Max: 1246830 Min: 1456070 / Avg: 1457950 / Max: 1459240 Min: 1572510 / Avg: 1572953.33 / Max: 1573710 Min: 1634960 / Avg: 1635676.67 / Max: 1636920 Min: 2275080 / Avg: 2276043.33 / Max: 2276860 Min: 3128620 / Avg: 3131150 / Max: 3134200 Min: 3309830 / Avg: 3312693.33 / Max: 3317940 Min: 3144340 / Avg: 3147143.33 / Max: 3149450
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPU EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 10 20 30 40 50 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.18, N = 3 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.16, N = 3 SE +/- 0.13, N = 3 SE +/- 0.08, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.26, N = 3 SE +/- 0.11, N = 3 SE +/- 0.08, N = 3 SE +/- 0.04, N = 3 SE +/- 0.23, N = 9 SE +/- 0.18, N = 3 SE +/- 0.53, N = 3 SE +/- 0.08, N = 3 SE +/- 0.13, N = 3 13.27 18.38 37.26 12.20 11.27 10.49 11.68 13.30 13.44 13.00 13.63 15.53 16.39 19.10 21.73 24.06 31.18 40.63 44.90 44.18 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPU EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 9 18 27 36 45 Min: 13.22 / Avg: 13.27 / Max: 13.33 Min: 18.37 / Avg: 18.38 / Max: 18.39 Min: 37.07 / Avg: 37.26 / Max: 37.62 Min: 12.02 / Avg: 12.2 / Max: 12.33 Min: 11.23 / Avg: 11.27 / Max: 11.32 Min: 10.41 / Avg: 10.49 / Max: 10.54 Min: 11.37 / Avg: 11.68 / Max: 11.86 Min: 13.11 / Avg: 13.3 / Max: 13.55 Min: 13.3 / Avg: 13.44 / Max: 13.57 Min: 12.92 / Avg: 13 / Max: 13.06 Min: 13.55 / Avg: 13.63 / Max: 13.74 Min: 15.06 / Avg: 15.53 / Max: 15.94 Min: 16.18 / Avg: 16.39 / Max: 16.58 Min: 19.01 / Avg: 19.1 / Max: 19.25 Min: 21.66 / Avg: 21.73 / Max: 21.78 Min: 23.34 / Avg: 24.06 / Max: 25.71 Min: 30.87 / Avg: 31.18 / Max: 31.49 Min: 39.58 / Avg: 40.63 / Max: 41.24 Min: 44.78 / Avg: 44.9 / Max: 45.05 Min: 44.03 / Avg: 44.18 / Max: 44.44 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
GraphicsMagick This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.33 Operation: Swirl EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 400 800 1200 1600 2000 SE +/- 4.58, N = 3 SE +/- 2.08, N = 3 SE +/- 1.00, N = 3 SE +/- 1.76, N = 3 SE +/- 2.03, N = 3 SE +/- 2.65, N = 3 SE +/- 1.33, N = 3 SE +/- 0.33, N = 3 SE +/- 1.20, N = 3 SE +/- 1.86, N = 3 SE +/- 2.08, N = 3 SE +/- 1.20, N = 3 SE +/- 1.53, N = 3 SE +/- 1.00, N = 3 SE +/- 0.33, N = 3 SE +/- 0.67, N = 3 SE +/- 0.58, N = 3 1129 898 480 1622 1666 1525 1442 1246 1165 1268 1195 1127 1024 909 796 724 577 431 406 391 1. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
Result Confidence
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.33 Operation: Swirl EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 300 600 900 1200 1500 Min: 1123 / Avg: 1129 / Max: 1138 Min: 894 / Avg: 898 / Max: 901 Min: 478 / Avg: 480 / Max: 481 Min: 1619 / Avg: 1621.67 / Max: 1625 Min: 1662 / Avg: 1665.67 / Max: 1669 Min: 1520 / Avg: 1525 / Max: 1529 Min: 1441 / Avg: 1442.33 / Max: 1445 Min: 1246 / Avg: 1246.33 / Max: 1247 Min: 1163 / Avg: 1164.67 / Max: 1167 Min: 1264 / Avg: 1267.67 / Max: 1270 Min: 1191 / Avg: 1195 / Max: 1198 Min: 1022 / Avg: 1024.33 / Max: 1026 Min: 906 / Avg: 909 / Max: 911 Min: 794 / Avg: 796 / Max: 797 Min: 723 / Avg: 723.67 / Max: 724 Min: 405 / Avg: 405.67 / Max: 407 Min: 390 / Avg: 391 / Max: 392 1. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
Appleseed Appleseed is an open-source production renderer focused on physically-based global illumination rendering engine primarily designed for animation and visual effects. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Appleseed 2.0 Beta Scene: Disney Material EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 60 120 180 240 300 100.63 131.51 235.47 71.67 71.65 76.22 75.77 87.90 97.10 92.64 95.20 99.78 113.46 128.78 160.86 165.05 209.48 287.34 287.40 295.86
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 2 4 6 8 10 SE +/- 0.00245, N = 3 SE +/- 0.00914, N = 3 SE +/- 0.22388, N = 15 SE +/- 0.01714, N = 3 SE +/- 0.02420, N = 3 SE +/- 0.02366, N = 15 SE +/- 0.02668, N = 4 SE +/- 0.02667, N = 4 SE +/- 0.02569, N = 3 SE +/- 0.01261, N = 3 SE +/- 0.00959, N = 3 SE +/- 0.00870, N = 3 SE +/- 0.04434, N = 15 SE +/- 0.06679, N = 15 SE +/- 0.04327, N = 3 SE +/- 0.02067, N = 3 SE +/- 0.06965, N = 3 SE +/- 0.01003, N = 3 SE +/- 0.03858, N = 3 SE +/- 0.05423, N = 3 1.99454 2.43553 4.81372 2.55843 1.95935 1.92590 2.02785 1.89386 2.25891 1.96299 2.01176 2.10673 2.47190 2.99977 2.97425 3.14991 4.77168 5.13825 5.87119 7.79600 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 Min: 1.99 / Avg: 1.99 / Max: 2 Min: 2.42 / Avg: 2.44 / Max: 2.45 Min: 4.51 / Avg: 4.81 / Max: 7.94 Min: 2.53 / Avg: 2.56 / Max: 2.58 Min: 1.91 / Avg: 1.96 / Max: 1.99 Min: 1.79 / Avg: 1.93 / Max: 2.13 Min: 1.97 / Avg: 2.03 / Max: 2.09 Min: 1.85 / Avg: 1.89 / Max: 1.96 Min: 2.22 / Avg: 2.26 / Max: 2.31 Min: 1.95 / Avg: 1.96 / Max: 1.99 Min: 1.99 / Avg: 2.01 / Max: 2.03 Min: 2.09 / Avg: 2.11 / Max: 2.12 Min: 2.23 / Avg: 2.47 / Max: 2.82 Min: 2.71 / Avg: 3 / Max: 3.68 Min: 2.89 / Avg: 2.97 / Max: 3.04 Min: 3.11 / Avg: 3.15 / Max: 3.18 Min: 4.67 / Avg: 4.77 / Max: 4.9 Min: 5.12 / Avg: 5.14 / Max: 5.16 Min: 5.82 / Avg: 5.87 / Max: 5.95 Min: 7.71 / Avg: 7.8 / Max: 7.9 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
TensorFlow Lite This is a benchmark of the TensorFlow Lite implementation. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Inception V4 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 800K 1600K 2400K 3200K 4000K SE +/- 2472.71, N = 3 SE +/- 1977.94, N = 3 SE +/- 1214.14, N = 3 SE +/- 2152.71, N = 3 SE +/- 10849.29, N = 3 SE +/- 796.92, N = 3 SE +/- 1492.34, N = 3 SE +/- 1095.28, N = 3 SE +/- 1597.95, N = 3 SE +/- 265.85, N = 3 SE +/- 641.33, N = 3 SE +/- 506.19, N = 3 SE +/- 3534.54, N = 3 SE +/- 1422.61, N = 3 SE +/- 430.56, N = 3 SE +/- 927.26, N = 3 SE +/- 565.25, N = 3 SE +/- 1815.08, N = 3 SE +/- 1653.42, N = 3 SE +/- 180.03, N = 3 1331757 1500570 2991340 1034893 901115 974709 1032227 956334 1096420 1017473 1018660 1098850 1434267 1651693 1751103 1818303 2541097 3449200 3658017 3482543
Result Confidence
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Inception V4 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 600K 1200K 1800K 2400K 3000K Min: 1328690 / Avg: 1331756.67 / Max: 1336650 Min: 1496910 / Avg: 1500570 / Max: 1503700 Min: 2989820 / Avg: 2991340 / Max: 2993740 Min: 1030910 / Avg: 1034893.33 / Max: 1038300 Min: 883545 / Avg: 901115.33 / Max: 920927 Min: 973240 / Avg: 974709 / Max: 975979 Min: 1029410 / Avg: 1032226.67 / Max: 1034490 Min: 954214 / Avg: 956334.33 / Max: 957871 Min: 1093440 / Avg: 1096420 / Max: 1098910 Min: 1016960 / Avg: 1017473.33 / Max: 1017850 Min: 1017430 / Avg: 1018660 / Max: 1019590 Min: 1098140 / Avg: 1098850 / Max: 1099830 Min: 1428600 / Avg: 1434266.67 / Max: 1440760 Min: 1648870 / Avg: 1651693.33 / Max: 1653410 Min: 1750250 / Avg: 1751103.33 / Max: 1751630 Min: 1816530 / Avg: 1818303.33 / Max: 1819660 Min: 2539990 / Avg: 2541096.67 / Max: 2541850 Min: 3446240 / Avg: 3449200 / Max: 3452500 Min: 3655440 / Avg: 3658016.67 / Max: 3661100 Min: 3482190 / Avg: 3482543.33 / Max: 3482780
Coremark This is a test of EEMBC CoreMark processor benchmark. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Iterations/Sec, More Is Better Coremark 1.0 CoreMark Size 666 - Iterations Per Second EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 300K 600K 900K 1200K 1500K SE +/- 5088.42, N = 3 SE +/- 518.02, N = 3 SE +/- 254.64, N = 3 SE +/- 2361.14, N = 3 SE +/- 315.40, N = 3 SE +/- 913.29, N = 3 SE +/- 1097.23, N = 3 SE +/- 5237.13, N = 3 SE +/- 10861.25, N = 3 SE +/- 3413.67, N = 3 SE +/- 1516.40, N = 3 SE +/- 5097.39, N = 3 SE +/- 4296.32, N = 3 SE +/- 1079.01, N = 3 SE +/- 3058.86, N = 3 SE +/- 430.91, N = 3 SE +/- 946.65, N = 3 SE +/- 326.66, N = 3 SE +/- 236.56, N = 3 SE +/- 309.16, N = 3 989555.86 709203.15 359429.77 1146666.31 1177095.85 1188218.25 1171853.21 952974.53 908073.32 934407.24 943555.64 881494.06 890248.99 798236.46 609406.36 582430.67 439772.58 312587.17 295421.35 298347.30 1. (CC) gcc options: -O2 -lrt" -lrt
Result Confidence
OpenBenchmarking.org Iterations/Sec, More Is Better Coremark 1.0 CoreMark Size 666 - Iterations Per Second EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 200K 400K 600K 800K 1000K Min: 982197.67 / Avg: 989555.86 / Max: 999323.37 Min: 708199.62 / Avg: 709203.15 / Max: 709927.9 Min: 359120.16 / Avg: 359429.77 / Max: 359934.76 Min: 1142381.15 / Avg: 1146666.31 / Max: 1150527.33 Min: 1176470.59 / Avg: 1177095.85 / Max: 1177480.68 Min: 1186870.25 / Avg: 1188218.25 / Max: 1189959.71 Min: 1169875.7 / Avg: 1171853.21 / Max: 1173665.87 Min: 942516.32 / Avg: 952974.53 / Max: 958705.75 Min: 892857.14 / Avg: 908073.32 / Max: 929107.19 Min: 929332.04 / Avg: 934407.24 / Max: 940899.74 Min: 941038.08 / Avg: 943555.64 / Max: 946278.96 Min: 871341.05 / Avg: 881494.06 / Max: 887368.86 Min: 885649.71 / Avg: 890248.99 / Max: 898834.32 Min: 796085.91 / Avg: 798236.46 / Max: 799467.02 Min: 603299.29 / Avg: 609406.36 / Max: 612772.48 Min: 581641.93 / Avg: 582430.67 / Max: 583125.8 Min: 438746.83 / Avg: 439772.58 / Max: 441663.6 Min: 312184.97 / Avg: 312587.17 / Max: 313234.14 Min: 295184.8 / Avg: 295421.35 / Max: 295894.46 Min: 297808.32 / Avg: 298347.3 / Max: 298879.2 1. (CC) gcc options: -O2 -lrt" -lrt
SVT-HEVC This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better SVT-HEVC 1.4.1 1080p 8-bit YUV To HEVC Video Encode EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 40 80 120 160 200 SE +/- 0.13, N = 3 SE +/- 0.17, N = 3 SE +/- 0.03, N = 3 SE +/- 0.98, N = 3 SE +/- 0.30, N = 3 SE +/- 1.41, N = 3 SE +/- 0.93, N = 3 SE +/- 0.63, N = 3 SE +/- 0.98, N = 3 SE +/- 0.47, N = 3 SE +/- 1.24, N = 3 SE +/- 0.69, N = 3 SE +/- 0.91, N = 3 SE +/- 0.49, N = 3 SE +/- 0.23, N = 3 SE +/- 0.21, N = 3 SE +/- 0.14, N = 3 SE +/- 0.04, N = 3 SE +/- 0.16, N = 3 SE +/- 0.19, N = 3 122.40 86.52 47.91 161.96 166.89 159.13 161.14 141.01 123.86 131.25 132.93 122.18 113.54 98.40 80.26 77.11 60.67 41.90 41.74 42.34 1. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better SVT-HEVC 1.4.1 1080p 8-bit YUV To HEVC Video Encode EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 30 60 90 120 150 Min: 122.15 / Avg: 122.4 / Max: 122.57 Min: 86.33 / Avg: 86.52 / Max: 86.86 Min: 47.87 / Avg: 47.91 / Max: 47.98 Min: 160.26 / Avg: 161.96 / Max: 163.67 Min: 166.3 / Avg: 166.89 / Max: 167.32 Min: 157.52 / Avg: 159.13 / Max: 161.94 Min: 159.28 / Avg: 161.14 / Max: 162.21 Min: 139.76 / Avg: 141.01 / Max: 141.74 Min: 121.9 / Avg: 123.86 / Max: 124.95 Min: 130.35 / Avg: 131.25 / Max: 131.96 Min: 130.61 / Avg: 132.93 / Max: 134.86 Min: 120.87 / Avg: 122.18 / Max: 123.2 Min: 111.79 / Avg: 113.54 / Max: 114.83 Min: 97.42 / Avg: 98.4 / Max: 98.98 Min: 80.02 / Avg: 80.26 / Max: 80.71 Min: 76.7 / Avg: 77.11 / Max: 77.39 Min: 60.39 / Avg: 60.67 / Max: 60.84 Min: 41.84 / Avg: 41.9 / Max: 41.97 Min: 41.42 / Avg: 41.74 / Max: 41.96 Min: 41.96 / Avg: 42.34 / Max: 42.54 1. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
Basis Universal Basis Universal is a GPU texture codoec. This test times how long it takes to convert sRGB PNGs into Basis Univeral assets with various settings. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Basis Universal 1.12 Settings: UASTC Level 3 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 20 40 60 80 100 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 27.34 34.08 61.75 19.16 18.90 20.91 21.01 24.19 26.23 25.52 25.52 27.05 29.46 33.35 40.27 41.84 52.85 70.90 75.37 74.10 1. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Basis Universal 1.12 Settings: UASTC Level 3 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 14 28 42 56 70 Min: 27.3 / Avg: 27.34 / Max: 27.37 Min: 34.06 / Avg: 34.08 / Max: 34.11 Min: 61.72 / Avg: 61.75 / Max: 61.78 Min: 19.13 / Avg: 19.16 / Max: 19.18 Min: 18.89 / Avg: 18.9 / Max: 18.91 Min: 20.88 / Avg: 20.91 / Max: 20.95 Min: 20.99 / Avg: 21.01 / Max: 21.02 Min: 24.15 / Avg: 24.18 / Max: 24.21 Min: 26.21 / Avg: 26.23 / Max: 26.24 Min: 25.5 / Avg: 25.51 / Max: 25.53 Min: 25.5 / Avg: 25.52 / Max: 25.53 Min: 27.03 / Avg: 27.05 / Max: 27.08 Min: 29.42 / Avg: 29.46 / Max: 29.5 Min: 33.33 / Avg: 33.35 / Max: 33.36 Min: 40.24 / Avg: 40.27 / Max: 40.32 Min: 41.79 / Avg: 41.84 / Max: 41.9 Min: 52.82 / Avg: 52.84 / Max: 52.88 Min: 70.86 / Avg: 70.9 / Max: 70.95 Min: 75.26 / Avg: 75.37 / Max: 75.42 Min: 74.06 / Avg: 74.1 / Max: 74.14 1. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
FFTE FFTE is a package by Daisuke Takahashi to compute Discrete Fourier Transforms of 1-, 2- and 3- dimensional sequences of length (2^p)*(3^q)*(5^r). Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org MFLOPS, More Is Better FFTE 7.0 N=256, 3D Complex FFT Routine EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 30K 60K 90K 120K 150K SE +/- 242.78, N = 3 SE +/- 155.57, N = 3 SE +/- 68.82, N = 3 SE +/- 2123.40, N = 3 SE +/- 1672.04, N = 8 SE +/- 1908.61, N = 3 SE +/- 252.72, N = 3 SE +/- 293.15, N = 3 SE +/- 554.28, N = 3 SE +/- 1104.18, N = 12 SE +/- 320.50, N = 3 SE +/- 1254.13, N = 3 SE +/- 334.89, N = 3 SE +/- 473.52, N = 3 SE +/- 106.02, N = 3 SE +/- 120.56, N = 3 SE +/- 802.19, N = 3 SE +/- 67.38, N = 3 SE +/- 337.56, N = 3 SE +/- 219.73, N = 3 121525.13 98750.37 52650.75 134685.96 160887.39 150648.47 138431.07 143497.18 135022.21 133908.92 134830.00 124083.95 109971.98 91394.81 84934.71 76405.27 58471.22 47744.98 41087.46 44076.81 1. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
Result Confidence
OpenBenchmarking.org MFLOPS, More Is Better FFTE 7.0 N=256, 3D Complex FFT Routine EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 30K 60K 90K 120K 150K Min: 121274.35 / Avg: 121525.13 / Max: 122010.6 Min: 98547.12 / Avg: 98750.37 / Max: 99056.01 Min: 52530.46 / Avg: 52650.75 / Max: 52768.82 Min: 130680.76 / Avg: 134685.96 / Max: 137911.4 Min: 158223.44 / Avg: 160887.39 / Max: 172237.35 Min: 148564.98 / Avg: 150648.47 / Max: 154460.18 Min: 137948.8 / Avg: 138431.07 / Max: 138803.22 Min: 142929.16 / Avg: 143497.18 / Max: 143906.96 Min: 134245.38 / Avg: 135022.21 / Max: 136095.53 Min: 121806.39 / Avg: 133908.92 / Max: 135449.55 Min: 134233.96 / Avg: 134830 / Max: 135332.24 Min: 121594.51 / Avg: 124083.95 / Max: 125594.29 Min: 109341.81 / Avg: 109971.98 / Max: 110483.57 Min: 90617.8 / Avg: 91394.81 / Max: 92252.2 Min: 84763.98 / Avg: 84934.71 / Max: 85128.98 Min: 76247.66 / Avg: 76405.27 / Max: 76642.11 Min: 57538.62 / Avg: 58471.22 / Max: 60068.11 Min: 47673.86 / Avg: 47744.98 / Max: 47879.67 Min: 40596.75 / Avg: 41087.46 / Max: 41734.37 Min: 43682.07 / Avg: 44076.81 / Max: 44441.44 1. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
SVT-AV1 This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-AV1 CPU-based multi-threaded video encoder for the AV1 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 0.8 Encoder Mode: Enc Mode 8 - Input: 1080p EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 20 40 60 80 100 SE +/- 0.21, N = 3 SE +/- 0.13, N = 3 SE +/- 0.01, N = 3 SE +/- 0.14, N = 3 SE +/- 0.11, N = 3 SE +/- 0.32, N = 3 SE +/- 0.32, N = 3 SE +/- 0.46, N = 3 SE +/- 0.32, N = 3 SE +/- 0.17, N = 3 SE +/- 0.28, N = 3 SE +/- 0.13, N = 3 SE +/- 0.13, N = 3 SE +/- 0.24, N = 3 SE +/- 0.09, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 57.37 38.88 23.50 75.49 79.52 60.07 59.03 58.06 53.42 56.00 55.73 53.27 52.55 46.47 34.97 34.09 28.88 20.75 20.36 20.58 1. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 0.8 Encoder Mode: Enc Mode 8 - Input: 1080p EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 15 30 45 60 75 Min: 56.98 / Avg: 57.37 / Max: 57.71 Min: 38.63 / Avg: 38.88 / Max: 39.04 Min: 23.49 / Avg: 23.5 / Max: 23.53 Min: 75.26 / Avg: 75.49 / Max: 75.74 Min: 79.31 / Avg: 79.52 / Max: 79.64 Min: 59.46 / Avg: 60.07 / Max: 60.53 Min: 58.58 / Avg: 59.03 / Max: 59.65 Min: 57.42 / Avg: 58.06 / Max: 58.94 Min: 52.81 / Avg: 53.42 / Max: 53.91 Min: 55.76 / Avg: 56 / Max: 56.32 Min: 55.4 / Avg: 55.73 / Max: 56.29 Min: 53.02 / Avg: 53.27 / Max: 53.46 Min: 52.41 / Avg: 52.55 / Max: 52.81 Min: 46.14 / Avg: 46.47 / Max: 46.94 Min: 34.78 / Avg: 34.97 / Max: 35.1 Min: 33.99 / Avg: 34.09 / Max: 34.19 Min: 28.86 / Avg: 28.88 / Max: 28.9 Min: 20.72 / Avg: 20.75 / Max: 20.78 Min: 20.33 / Avg: 20.36 / Max: 20.38 Min: 20.51 / Avg: 20.58 / Max: 20.64 1. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
Zstd Compression This test measures the time needed to compress a sample file (an Ubuntu ISO) using Zstd compression. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.4.5 Compression Level: 19 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 30 60 90 120 150 SE +/- 0.09, N = 3 SE +/- 0.23, N = 3 SE +/- 0.13, N = 3 SE +/- 1.18, N = 3 SE +/- 0.61, N = 3 SE +/- 0.77, N = 3 SE +/- 0.61, N = 3 SE +/- 0.35, N = 3 SE +/- 0.54, N = 3 SE +/- 0.20, N = 3 SE +/- 0.19, N = 3 SE +/- 0.15, N = 3 SE +/- 0.17, N = 3 SE +/- 0.44, N = 3 SE +/- 0.07, N = 3 SE +/- 0.15, N = 3 SE +/- 0.36, N = 3 SE +/- 0.12, N = 3 SE +/- 0.32, N = 3 SE +/- 0.12, N = 3 101.1 80.9 43.5 126.6 139.2 125.0 122.1 109.1 116.8 110.5 109.7 108.9 92.9 89.7 71.3 64.5 52.5 43.4 38.3 36.0 1. (CC) gcc options: -O3 -pthread -lz -llzma
Result Confidence
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.4.5 Compression Level: 19 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 30 60 90 120 150 Min: 100.9 / Avg: 101.07 / Max: 101.2 Min: 80.5 / Avg: 80.9 / Max: 81.3 Min: 43.4 / Avg: 43.53 / Max: 43.8 Min: 124.2 / Avg: 126.57 / Max: 127.8 Min: 138 / Avg: 139.2 / Max: 140 Min: 123.9 / Avg: 125.03 / Max: 126.5 Min: 121 / Avg: 122.13 / Max: 123.1 Min: 108.6 / Avg: 109.13 / Max: 109.8 Min: 115.8 / Avg: 116.83 / Max: 117.6 Min: 110.3 / Avg: 110.5 / Max: 110.9 Min: 109.5 / Avg: 109.73 / Max: 110.1 Min: 108.7 / Avg: 108.93 / Max: 109.2 Min: 92.7 / Avg: 92.87 / Max: 93.2 Min: 88.8 / Avg: 89.67 / Max: 90.2 Min: 71.2 / Avg: 71.33 / Max: 71.4 Min: 64.3 / Avg: 64.53 / Max: 64.8 Min: 51.8 / Avg: 52.5 / Max: 53 Min: 43.2 / Avg: 43.43 / Max: 43.6 Min: 37.7 / Avg: 38.33 / Max: 38.7 Min: 35.8 / Avg: 36 / Max: 36.2 1. (CC) gcc options: -O3 -pthread -lz -llzma
LAMMPS Molecular Dynamics Simulator LAMMPS is a classical molecular dynamics code, and an acronym for Large-scale Atomic/Molecular Massively Parallel Simulator. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ns/day, More Is Better LAMMPS Molecular Dynamics Simulator 29Oct2020 Model: 20k Atoms EPYC 7F52 EPYC 7542 EPYC 7532 EPYC 7502 EPYC 7452 EPYC 7352 EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 4 8 12 16 20 SE +/- 0.013, N = 3 SE +/- 0.038, N = 3 SE +/- 0.016, N = 3 SE +/- 0.045, N = 3 SE +/- 0.033, N = 3 SE +/- 0.025, N = 3 SE +/- 0.174, N = 3 SE +/- 0.110, N = 4 SE +/- 0.052, N = 3 SE +/- 0.056, N = 3 9.287 18.028 17.276 17.341 16.237 13.129 9.123 7.481 4.867 5.031 1. (CXX) g++ options: -O3 -pthread -lm
Result Confidence
OpenBenchmarking.org ns/day, More Is Better LAMMPS Molecular Dynamics Simulator 29Oct2020 Model: 20k Atoms EPYC 7F52 EPYC 7542 EPYC 7532 EPYC 7502 EPYC 7452 EPYC 7352 EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 5 10 15 20 25 Min: 9.26 / Avg: 9.29 / Max: 9.3 Min: 17.96 / Avg: 18.03 / Max: 18.09 Min: 17.25 / Avg: 17.28 / Max: 17.31 Min: 17.26 / Avg: 17.34 / Max: 17.42 Min: 16.19 / Avg: 16.24 / Max: 16.3 Min: 13.09 / Avg: 13.13 / Max: 13.18 Min: 8.78 / Avg: 9.12 / Max: 9.34 Min: 7.16 / Avg: 7.48 / Max: 7.65 Min: 4.77 / Avg: 4.87 / Max: 4.94 Min: 4.96 / Avg: 5.03 / Max: 5.14 1. (CXX) g++ options: -O3 -pthread -lm
SVT-VP9 This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.1 Tuning: Visual Quality Optimized - Input: Bosphorus 1080p EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 60 120 180 240 300 SE +/- 1.86, N = 3 SE +/- 0.73, N = 3 SE +/- 0.48, N = 3 SE +/- 2.06, N = 3 SE +/- 1.02, N = 3 SE +/- 2.83, N = 3 SE +/- 1.81, N = 3 SE +/- 3.97, N = 3 SE +/- 3.11, N = 3 SE +/- 1.54, N = 3 SE +/- 2.25, N = 3 SE +/- 3.58, N = 4 SE +/- 0.78, N = 3 SE +/- 0.95, N = 3 SE +/- 1.23, N = 3 SE +/- 0.83, N = 3 SE +/- 0.27, N = 3 SE +/- 0.21, N = 3 SE +/- 0.21, N = 3 SE +/- 0.37, N = 3 291.00 202.89 95.61 278.50 282.53 288.70 286.10 297.18 266.03 285.23 286.20 275.88 260.38 241.17 196.52 201.17 159.41 80.77 85.67 87.66 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.1 Tuning: Visual Quality Optimized - Input: Bosphorus 1080p EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 50 100 150 200 250 Min: 287.49 / Avg: 291 / Max: 293.83 Min: 201.82 / Avg: 202.89 / Max: 204.29 Min: 95 / Avg: 95.61 / Max: 96.56 Min: 276.37 / Avg: 278.5 / Max: 282.62 Min: 280.5 / Avg: 282.53 / Max: 283.55 Min: 283.42 / Avg: 288.7 / Max: 293.11 Min: 282.89 / Avg: 286.1 / Max: 289.16 Min: 291.26 / Avg: 297.18 / Max: 304.72 Min: 262.47 / Avg: 266.03 / Max: 272.23 Min: 282.75 / Avg: 285.23 / Max: 288.05 Min: 281.95 / Avg: 286.2 / Max: 289.58 Min: 267.74 / Avg: 275.88 / Max: 285.17 Min: 259.29 / Avg: 260.38 / Max: 261.89 Min: 239.52 / Avg: 241.17 / Max: 242.82 Min: 194.11 / Avg: 196.52 / Max: 198.15 Min: 199.53 / Avg: 201.17 / Max: 202.16 Min: 158.86 / Avg: 159.41 / Max: 159.7 Min: 80.44 / Avg: 80.77 / Max: 81.16 Min: 85.3 / Avg: 85.67 / Max: 86.01 Min: 87.18 / Avg: 87.66 / Max: 88.39 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
Rodinia Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP CFD Solver EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 7 14 21 28 35 SE +/- 0.060, N = 3 SE +/- 0.011, N = 3 SE +/- 0.047, N = 3 SE +/- 0.089, N = 3 SE +/- 0.030, N = 3 SE +/- 0.052, N = 3 SE +/- 0.070, N = 3 SE +/- 0.020, N = 3 SE +/- 0.135, N = 3 SE +/- 0.023, N = 3 SE +/- 0.009, N = 3 SE +/- 0.025, N = 3 SE +/- 0.014, N = 3 SE +/- 0.112, N = 3 SE +/- 0.070, N = 3 SE +/- 0.047, N = 3 SE +/- 0.124, N = 3 SE +/- 0.102, N = 3 SE +/- 0.088, N = 3 SE +/- 0.042, N = 3 10.772 13.366 23.290 8.301 7.679 8.384 8.343 9.819 9.981 9.761 9.796 10.151 11.532 13.488 15.273 14.890 20.377 24.688 28.157 25.669 1. (CXX) g++ options: -O2 -lOpenCL
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP CFD Solver EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 6 12 18 24 30 Min: 10.7 / Avg: 10.77 / Max: 10.89 Min: 13.35 / Avg: 13.37 / Max: 13.39 Min: 23.21 / Avg: 23.29 / Max: 23.37 Min: 8.14 / Avg: 8.3 / Max: 8.44 Min: 7.63 / Avg: 7.68 / Max: 7.73 Min: 8.32 / Avg: 8.38 / Max: 8.49 Min: 8.27 / Avg: 8.34 / Max: 8.48 Min: 9.79 / Avg: 9.82 / Max: 9.86 Min: 9.83 / Avg: 9.98 / Max: 10.25 Min: 9.72 / Avg: 9.76 / Max: 9.79 Min: 9.78 / Avg: 9.8 / Max: 9.81 Min: 10.1 / Avg: 10.15 / Max: 10.19 Min: 11.51 / Avg: 11.53 / Max: 11.55 Min: 13.28 / Avg: 13.49 / Max: 13.66 Min: 15.17 / Avg: 15.27 / Max: 15.41 Min: 14.82 / Avg: 14.89 / Max: 14.98 Min: 20.2 / Avg: 20.38 / Max: 20.62 Min: 24.56 / Avg: 24.69 / Max: 24.89 Min: 28.03 / Avg: 28.16 / Max: 28.33 Min: 25.59 / Avg: 25.67 / Max: 25.71 1. (CXX) g++ options: -O2 -lOpenCL
Timed Linux Kernel Compilation This test times how long it takes to build the Linux kernel in a default configuration. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Timed Linux Kernel Compilation 5.4 Time To Compile EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 20 40 60 80 100 SE +/- 0.66, N = 3 SE +/- 0.61, N = 3 SE +/- 0.59, N = 3 SE +/- 0.29, N = 9 SE +/- 0.29, N = 9 SE +/- 0.32, N = 8 SE +/- 0.34, N = 8 SE +/- 0.41, N = 6 SE +/- 0.44, N = 3 SE +/- 0.50, N = 5 SE +/- 0.50, N = 5 SE +/- 0.51, N = 5 SE +/- 0.74, N = 3 SE +/- 0.85, N = 3 SE +/- 0.75, N = 4 SE +/- 0.73, N = 3 SE +/- 1.26, N = 3 SE +/- 0.78, N = 3 SE +/- 0.81, N = 3 SE +/- 0.82, N = 3 39.47 46.98 85.45 29.71 29.46 31.93 32.17 36.52 39.14 38.68 38.73 41.12 44.09 50.11 56.26 61.95 75.08 97.94 105.12 107.09
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed Linux Kernel Compilation 5.4 Time To Compile EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 20 40 60 80 100 Min: 38.8 / Avg: 39.47 / Max: 40.79 Min: 46.33 / Avg: 46.98 / Max: 48.2 Min: 84.43 / Avg: 85.45 / Max: 86.48 Min: 29.33 / Avg: 29.71 / Max: 32.04 Min: 29.1 / Avg: 29.46 / Max: 31.76 Min: 31.51 / Avg: 31.93 / Max: 34.2 Min: 31.54 / Avg: 32.17 / Max: 34.51 Min: 36.06 / Avg: 36.52 / Max: 38.57 Min: 38.68 / Avg: 39.14 / Max: 40.01 Min: 38.07 / Avg: 38.68 / Max: 40.67 Min: 38.21 / Avg: 38.73 / Max: 40.75 Min: 40.52 / Avg: 41.12 / Max: 43.17 Min: 43.31 / Avg: 44.09 / Max: 45.57 Min: 49.19 / Avg: 50.11 / Max: 51.82 Min: 55.06 / Avg: 56.26 / Max: 58.43 Min: 60.99 / Avg: 61.95 / Max: 63.38 Min: 73.79 / Avg: 75.08 / Max: 77.61 Min: 96.97 / Avg: 97.94 / Max: 99.48 Min: 104.06 / Avg: 105.12 / Max: 106.71 Min: 105.98 / Avg: 107.09 / Max: 108.69
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 0.4148 0.8296 1.2444 1.6592 2.074 SE +/- 0.002349, N = 3 SE +/- 0.005635, N = 3 SE +/- 0.015210, N = 3 SE +/- 0.001105, N = 3 SE +/- 0.002637, N = 3 SE +/- 0.007556, N = 9 SE +/- 0.051492, N = 12 SE +/- 0.000576, N = 3 SE +/- 0.004547, N = 3 SE +/- 0.003266, N = 3 SE +/- 0.002135, N = 3 SE +/- 0.003436, N = 3 SE +/- 0.003662, N = 3 SE +/- 0.006121, N = 3 SE +/- 0.009798, N = 15 SE +/- 0.005483, N = 3 SE +/- 0.011469, N = 3 SE +/- 0.024818, N = 4 SE +/- 0.002690, N = 3 SE +/- 0.006472, N = 3 0.551721 0.692661 1.496190 0.624560 0.508448 0.800377 0.682353 0.539435 0.636335 0.702869 0.712874 0.738508 0.749534 0.861371 1.084500 1.175090 1.316400 1.662110 1.713940 1.843760 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 2 4 6 8 10 Min: 0.55 / Avg: 0.55 / Max: 0.56 Min: 0.68 / Avg: 0.69 / Max: 0.7 Min: 1.48 / Avg: 1.5 / Max: 1.53 Min: 0.62 / Avg: 0.62 / Max: 0.63 Min: 0.5 / Avg: 0.51 / Max: 0.51 Min: 0.76 / Avg: 0.8 / Max: 0.83 Min: 0.54 / Avg: 0.68 / Max: 0.95 Min: 0.54 / Avg: 0.54 / Max: 0.54 Min: 0.63 / Avg: 0.64 / Max: 0.65 Min: 0.7 / Avg: 0.7 / Max: 0.71 Min: 0.71 / Avg: 0.71 / Max: 0.72 Min: 0.73 / Avg: 0.74 / Max: 0.74 Min: 0.75 / Avg: 0.75 / Max: 0.76 Min: 0.85 / Avg: 0.86 / Max: 0.87 Min: 1.03 / Avg: 1.08 / Max: 1.21 Min: 1.17 / Avg: 1.18 / Max: 1.19 Min: 1.3 / Avg: 1.32 / Max: 1.34 Min: 1.63 / Avg: 1.66 / Max: 1.74 Min: 1.71 / Avg: 1.71 / Max: 1.72 Min: 1.84 / Avg: 1.84 / Max: 1.86 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
SVT-VP9 This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.1 Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 80 160 240 320 400 SE +/- 0.78, N = 3 SE +/- 1.32, N = 3 SE +/- 0.17, N = 3 SE +/- 1.71, N = 3 SE +/- 3.39, N = 3 SE +/- 0.92, N = 3 SE +/- 0.35, N = 3 SE +/- 1.64, N = 3 SE +/- 1.86, N = 3 SE +/- 1.60, N = 3 SE +/- 0.97, N = 3 SE +/- 3.26, N = 3 SE +/- 0.65, N = 3 SE +/- 0.18, N = 3 SE +/- 0.84, N = 3 SE +/- 0.74, N = 3 SE +/- 0.60, N = 3 SE +/- 0.44, N = 3 SE +/- 0.19, N = 3 SE +/- 0.19, N = 3 361.45 246.52 120.31 348.52 360.79 364.75 369.46 374.54 332.00 357.09 354.06 348.02 334.14 302.67 247.19 252.60 195.57 103.49 112.47 115.55 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.1 Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 70 140 210 280 350 Min: 359.93 / Avg: 361.45 / Max: 362.54 Min: 244.2 / Avg: 246.52 / Max: 248.76 Min: 119.98 / Avg: 120.31 / Max: 120.53 Min: 345.82 / Avg: 348.52 / Max: 351.7 Min: 354.19 / Avg: 360.79 / Max: 365.41 Min: 362.98 / Avg: 364.75 / Max: 366.08 Min: 369 / Avg: 369.46 / Max: 370.14 Min: 372.9 / Avg: 374.54 / Max: 377.83 Min: 329.31 / Avg: 332 / Max: 335.57 Min: 354.4 / Avg: 357.09 / Max: 359.93 Min: 352.32 / Avg: 354.06 / Max: 355.66 Min: 343.64 / Avg: 348.02 / Max: 354.4 Min: 332.96 / Avg: 334.14 / Max: 335.2 Min: 302.42 / Avg: 302.67 / Max: 303.03 Min: 245.6 / Avg: 247.19 / Max: 248.45 Min: 251.15 / Avg: 252.6 / Max: 253.59 Min: 194.68 / Avg: 195.57 / Max: 196.72 Min: 102.62 / Avg: 103.49 / Max: 103.95 Min: 112.13 / Avg: 112.47 / Max: 112.8 Min: 115.19 / Avg: 115.55 / Max: 115.81 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
Rodinia Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP Leukocyte EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 40 80 120 160 200 SE +/- 0.14, N = 3 SE +/- 0.99, N = 3 SE +/- 0.14, N = 3 SE +/- 0.79, N = 4 SE +/- 0.24, N = 3 SE +/- 0.45, N = 8 SE +/- 0.57, N = 4 SE +/- 0.27, N = 3 SE +/- 0.20, N = 3 SE +/- 0.46, N = 3 SE +/- 0.08, N = 3 SE +/- 0.41, N = 3 SE +/- 0.31, N = 3 SE +/- 0.03, N = 3 SE +/- 0.38, N = 3 SE +/- 0.69, N = 3 SE +/- 0.23, N = 3 SE +/- 0.46, N = 3 SE +/- 0.48, N = 3 SE +/- 1.14, N = 3 55.04 87.18 133.10 54.35 45.05 45.36 46.45 56.19 59.47 57.40 57.39 60.54 60.56 68.34 97.02 100.99 113.37 151.14 162.64 153.13 1. (CXX) g++ options: -O2 -lOpenCL
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP Leukocyte EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 30 60 90 120 150 Min: 54.79 / Avg: 55.04 / Max: 55.29 Min: 85.23 / Avg: 87.18 / Max: 88.43 Min: 132.94 / Avg: 133.1 / Max: 133.37 Min: 53.22 / Avg: 54.35 / Max: 56.65 Min: 44.57 / Avg: 45.05 / Max: 45.32 Min: 44.01 / Avg: 45.35 / Max: 48.12 Min: 45.49 / Avg: 46.44 / Max: 48.06 Min: 55.69 / Avg: 56.19 / Max: 56.63 Min: 59.21 / Avg: 59.47 / Max: 59.87 Min: 56.58 / Avg: 57.4 / Max: 58.17 Min: 57.23 / Avg: 57.39 / Max: 57.47 Min: 60 / Avg: 60.54 / Max: 61.33 Min: 59.94 / Avg: 60.56 / Max: 60.89 Min: 68.29 / Avg: 68.34 / Max: 68.38 Min: 96.64 / Avg: 97.02 / Max: 97.77 Min: 99.65 / Avg: 100.98 / Max: 101.96 Min: 112.91 / Avg: 113.37 / Max: 113.64 Min: 150.42 / Avg: 151.14 / Max: 151.98 Min: 161.79 / Avg: 162.64 / Max: 163.45 Min: 151.63 / Avg: 153.13 / Max: 155.37 1. (CXX) g++ options: -O2 -lOpenCL
Kripke Kripke is a simple, scalable, 3D Sn deterministic particle transport code. Its primary purpose is to research how data layout, programming paradigms and architectures effect the implementation and performance of Sn transport. Kripke is developed by LLNL. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Throughput FoM, More Is Better Kripke 1.2.4 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 30M 60M 90M 120M 150M SE +/- 547694.92, N = 3 SE +/- 57668.78, N = 3 SE +/- 276293.23, N = 3 SE +/- 117297.02, N = 3 SE +/- 13013.76, N = 3 SE +/- 699142.47, N = 3 SE +/- 534270.03, N = 3 SE +/- 85623.51, N = 3 SE +/- 325493.89, N = 3 SE +/- 61652.84, N = 3 SE +/- 138505.24, N = 3 SE +/- 43695.86, N = 3 SE +/- 92631.94, N = 3 SE +/- 346134.38, N = 3 SE +/- 258439.14, N = 3 SE +/- 21654.12, N = 3 SE +/- 553117.95, N = 3 SE +/- 300071.26, N = 3 SE +/- 367613.84, N = 3 SE +/- 79087.77, N = 3 113303100 141602033 106472367 77105490 77768500 92809700 82508063 66281803 104620000 68816610 66023410 65842107 79244993 75657760 103276333 46309610 54729003 100136353 69631237 40677543 1. (CXX) g++ options: -O3 -fopenmp
Result Confidence
OpenBenchmarking.org Throughput FoM, More Is Better Kripke 1.2.4 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 20M 40M 60M 80M 100M Min: 112224900 / Avg: 113303100 / Max: 114009600 Min: 141487000 / Avg: 141602033.33 / Max: 141666800 Min: 105955800 / Avg: 106472366.67 / Max: 106900600 Min: 76917380 / Avg: 77105490 / Max: 77320940 Min: 77749830 / Avg: 77768500 / Max: 77793540 Min: 91869130 / Avg: 92809700 / Max: 94176030 Min: 81446530 / Avg: 82508063.33 / Max: 83144630 Min: 66123390 / Avg: 66281803.33 / Max: 66417340 Min: 104002100 / Avg: 104620000 / Max: 105106400 Min: 68738250 / Avg: 68816610 / Max: 68938240 Min: 65816160 / Avg: 66023410 / Max: 66286210 Min: 65754820 / Avg: 65842106.67 / Max: 65889460 Min: 79076240 / Avg: 79244993.33 / Max: 79395580 Min: 75166410 / Avg: 75657760 / Max: 76325760 Min: 102759600 / Avg: 103276333.33 / Max: 103545300 Min: 46284070 / Avg: 46309610 / Max: 46352670 Min: 54086810 / Avg: 54729003.33 / Max: 55830170 Min: 99550260 / Avg: 100136353.33 / Max: 100541200 Min: 68899500 / Avg: 69631236.67 / Max: 70059080 Min: 40535410 / Avg: 40677543.33 / Max: 40808720 1. (CXX) g++ options: -O3 -fopenmp
Timed MPlayer Compilation This test times how long it takes to build the MPlayer open-source media player program. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Timed MPlayer Compilation 1.4 Time To Compile EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 11 22 33 44 55 SE +/- 0.07, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 17.29 20.77 36.78 13.61 13.44 14.21 14.44 16.09 16.94 16.91 16.98 17.87 19.01 21.44 24.58 27.16 32.80 42.15 45.07 46.73
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed MPlayer Compilation 1.4 Time To Compile EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 10 20 30 40 50 Min: 17.2 / Avg: 17.29 / Max: 17.42 Min: 20.74 / Avg: 20.77 / Max: 20.81 Min: 36.73 / Avg: 36.78 / Max: 36.82 Min: 13.56 / Avg: 13.61 / Max: 13.68 Min: 13.4 / Avg: 13.44 / Max: 13.49 Min: 14.18 / Avg: 14.21 / Max: 14.23 Min: 14.36 / Avg: 14.43 / Max: 14.5 Min: 16.01 / Avg: 16.09 / Max: 16.14 Min: 16.89 / Avg: 16.94 / Max: 16.98 Min: 16.84 / Avg: 16.91 / Max: 17 Min: 16.98 / Avg: 16.98 / Max: 16.98 Min: 17.84 / Avg: 17.87 / Max: 17.89 Min: 18.97 / Avg: 19.01 / Max: 19.04 Min: 21.4 / Avg: 21.44 / Max: 21.5 Min: 24.53 / Avg: 24.57 / Max: 24.64 Min: 27.07 / Avg: 27.15 / Max: 27.25 Min: 32.74 / Avg: 32.8 / Max: 32.87 Min: 42.08 / Avg: 42.15 / Max: 42.23 Min: 45 / Avg: 45.07 / Max: 45.14 Min: 46.7 / Avg: 46.73 / Max: 46.78
Tungsten Renderer Tungsten is a C++ physically based renderer that makes use of Intel's Embree ray tracing library. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Tungsten Renderer 0.2.2 Scene: Volumetric Caustic EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 4 8 12 16 20 SE +/- 0.03557, N = 3 SE +/- 0.06725, N = 3 SE +/- 0.07384, N = 3 SE +/- 0.00415, N = 3 SE +/- 0.00298, N = 3 SE +/- 0.00059, N = 3 SE +/- 0.00254, N = 3 SE +/- 0.00353, N = 3 SE +/- 0.01336, N = 3 SE +/- 0.00885, N = 3 SE +/- 0.00234, N = 3 SE +/- 0.01115, N = 3 SE +/- 0.00753, N = 3 SE +/- 0.00709, N = 3 SE +/- 0.10143, N = 4 SE +/- 0.00820, N = 3 SE +/- 0.03084, N = 3 SE +/- 0.12714, N = 3 SE +/- 0.03075, N = 3 SE +/- 0.02746, N = 3 4.88257 7.05423 13.78970 4.50294 4.36521 4.39351 4.37212 4.47072 4.79450 4.65515 4.64995 4.94904 5.22125 5.77336 7.66718 7.34207 9.46552 15.01350 14.72650 14.55650 1. (CXX) g++ options: -std=c++0x -march=znver1 -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Tungsten Renderer 0.2.2 Scene: Volumetric Caustic EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 4 8 12 16 20 Min: 4.85 / Avg: 4.88 / Max: 4.95 Min: 6.95 / Avg: 7.05 / Max: 7.18 Min: 13.65 / Avg: 13.79 / Max: 13.89 Min: 4.49 / Avg: 4.5 / Max: 4.51 Min: 4.36 / Avg: 4.37 / Max: 4.37 Min: 4.39 / Avg: 4.39 / Max: 4.39 Min: 4.37 / Avg: 4.37 / Max: 4.37 Min: 4.47 / Avg: 4.47 / Max: 4.48 Min: 4.78 / Avg: 4.79 / Max: 4.82 Min: 4.65 / Avg: 4.66 / Max: 4.67 Min: 4.65 / Avg: 4.65 / Max: 4.65 Min: 4.93 / Avg: 4.95 / Max: 4.97 Min: 5.21 / Avg: 5.22 / Max: 5.24 Min: 5.76 / Avg: 5.77 / Max: 5.79 Min: 7.47 / Avg: 7.67 / Max: 7.94 Min: 7.33 / Avg: 7.34 / Max: 7.35 Min: 9.41 / Avg: 9.47 / Max: 9.51 Min: 14.77 / Avg: 15.01 / Max: 15.2 Min: 14.7 / Avg: 14.73 / Max: 14.79 Min: 14.51 / Avg: 14.56 / Max: 14.6 1. (CXX) g++ options: -std=c++0x -march=znver1 -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl
PlaidML This test profile uses PlaidML deep learning framework developed by Intel for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org FPS, More Is Better PlaidML FP16: No - Mode: Inference - Network: VGG16 - Device: CPU EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 9 18 27 36 45 SE +/- 0.35, N = 3 SE +/- 0.26, N = 3 SE +/- 0.14, N = 3 SE +/- 0.27, N = 3 SE +/- 0.31, N = 3 SE +/- 0.21, N = 3 SE +/- 0.09, N = 3 SE +/- 0.32, N = 3 SE +/- 0.15, N = 3 SE +/- 0.12, N = 3 SE +/- 0.23, N = 3 SE +/- 0.27, N = 3 SE +/- 0.25, N = 3 SE +/- 0.14, N = 3 SE +/- 0.21, N = 3 SE +/- 0.03, N = 3 SE +/- 0.14, N = 3 SE +/- 0.16, N = 3 SE +/- 0.10, N = 3 SE +/- 0.15, N = 3 29.48 24.98 15.03 32.08 37.42 34.80 33.04 33.82 30.10 32.30 31.86 29.69 27.86 24.75 21.62 20.13 15.90 12.96 12.33 10.98
Result Confidence
OpenBenchmarking.org FPS, More Is Better PlaidML FP16: No - Mode: Inference - Network: VGG16 - Device: CPU EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 8 16 24 32 40 Min: 29.05 / Avg: 29.48 / Max: 30.18 Min: 24.48 / Avg: 24.98 / Max: 25.34 Min: 14.81 / Avg: 15.03 / Max: 15.28 Min: 31.8 / Avg: 32.08 / Max: 32.62 Min: 36.86 / Avg: 37.42 / Max: 37.93 Min: 34.56 / Avg: 34.8 / Max: 35.22 Min: 32.94 / Avg: 33.04 / Max: 33.21 Min: 33.22 / Avg: 33.82 / Max: 34.33 Min: 29.89 / Avg: 30.1 / Max: 30.39 Min: 32.1 / Avg: 32.3 / Max: 32.52 Min: 31.4 / Avg: 31.86 / Max: 32.11 Min: 29.22 / Avg: 29.69 / Max: 30.17 Min: 27.56 / Avg: 27.86 / Max: 28.36 Min: 24.52 / Avg: 24.75 / Max: 24.99 Min: 21.35 / Avg: 21.62 / Max: 22.04 Min: 20.08 / Avg: 20.13 / Max: 20.18 Min: 15.65 / Avg: 15.9 / Max: 16.12 Min: 12.65 / Avg: 12.96 / Max: 13.17 Min: 12.16 / Avg: 12.33 / Max: 12.49 Min: 10.72 / Avg: 10.98 / Max: 11.24
Facebook RocksDB This is a benchmark of Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Op/s, More Is Better Facebook RocksDB 6.3.6 Test: Random Fill Sync EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 40K 80K 120K 160K 200K SE +/- 115.80, N = 3 SE +/- 531.97, N = 3 SE +/- 103.64, N = 3 SE +/- 196.12, N = 3 SE +/- 168.25, N = 3 SE +/- 219.56, N = 3 SE +/- 320.60, N = 3 SE +/- 41.05, N = 3 SE +/- 165.04, N = 3 SE +/- 187.85, N = 3 SE +/- 41.97, N = 3 SE +/- 158.35, N = 3 SE +/- 354.28, N = 3 SE +/- 255.82, N = 3 SE +/- 157.79, N = 3 SE +/- 82.24, N = 3 SE +/- 246.26, N = 3 SE +/- 51.41, N = 3 SE +/- 284.64, N = 3 SE +/- 139.20, N = 3 155900 134174 79963 201155 197631 159162 160177 148700 131671 148225 138345 146157 126717 117512 93454 109127 88107 59225 59153 59491 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
Result Confidence
OpenBenchmarking.org Op/s, More Is Better Facebook RocksDB 6.3.6 Test: Random Fill Sync EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 30K 60K 90K 120K 150K Min: 155770 / Avg: 155900 / Max: 156131 Min: 133400 / Avg: 134173.67 / Max: 135193 Min: 79785 / Avg: 79963.33 / Max: 80144 Min: 200793 / Avg: 201154.67 / Max: 201467 Min: 197331 / Avg: 197631 / Max: 197913 Min: 158791 / Avg: 159162.33 / Max: 159551 Min: 159540 / Avg: 160177 / Max: 160559 Min: 148644 / Avg: 148700 / Max: 148780 Min: 131343 / Avg: 131671 / Max: 131867 Min: 147909 / Avg: 148225 / Max: 148559 Min: 138265 / Avg: 138345 / Max: 138407 Min: 145843 / Avg: 146157.33 / Max: 146348 Min: 126014 / Avg: 126716.67 / Max: 127147 Min: 117108 / Avg: 117512.33 / Max: 117986 Min: 93197 / Avg: 93453.67 / Max: 93741 Min: 108974 / Avg: 109126.67 / Max: 109256 Min: 87677 / Avg: 88106.67 / Max: 88530 Min: 59125 / Avg: 59225.33 / Max: 59295 Min: 58585 / Avg: 59153 / Max: 59470 Min: 59213 / Avg: 59491.33 / Max: 59636 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
Timed LLVM Compilation This test times how long it takes to build the LLVM compiler. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Timed LLVM Compilation 10.0 Time To Compile EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 200 400 600 800 1000 SE +/- 3.65, N = 3 SE +/- 1.82, N = 3 SE +/- 3.22, N = 3 SE +/- 1.34, N = 3 SE +/- 0.65, N = 3 SE +/- 0.99, N = 3 SE +/- 1.85, N = 3 SE +/- 4.26, N = 3 SE +/- 0.66, N = 3 SE +/- 1.79, N = 3 SE +/- 2.19, N = 3 SE +/- 1.75, N = 3 SE +/- 4.66, N = 4 SE +/- 1.25, N = 3 SE +/- 4.72, N = 7 SE +/- 6.61, N = 4 SE +/- 4.59, N = 3 SE +/- 1.38, N = 3 SE +/- 1.95, N = 3 SE +/- 2.64, N = 3 294.84 342.56 624.93 240.28 238.82 251.63 252.86 279.82 293.32 299.22 286.83 311.57 327.94 365.27 419.19 454.41 553.78 702.57 772.09 799.67
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed LLVM Compilation 10.0 Time To Compile EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 140 280 420 560 700 Min: 287.55 / Avg: 294.84 / Max: 298.7 Min: 339.55 / Avg: 342.56 / Max: 345.85 Min: 620.8 / Avg: 624.93 / Max: 631.28 Min: 237.84 / Avg: 240.27 / Max: 242.46 Min: 237.54 / Avg: 238.82 / Max: 239.66 Min: 249.78 / Avg: 251.63 / Max: 253.18 Min: 249.78 / Avg: 252.86 / Max: 256.19 Min: 271.29 / Avg: 279.82 / Max: 284.22 Min: 292.42 / Avg: 293.32 / Max: 294.62 Min: 296.83 / Avg: 299.22 / Max: 302.71 Min: 282.46 / Avg: 286.83 / Max: 289.26 Min: 308.32 / Avg: 311.57 / Max: 314.31 Min: 314.35 / Avg: 327.94 / Max: 334.31 Min: 362.89 / Avg: 365.27 / Max: 367.12 Min: 402.02 / Avg: 419.19 / Max: 433.8 Min: 442.12 / Avg: 454.41 / Max: 472.86 Min: 546.27 / Avg: 553.78 / Max: 562.1 Min: 699.84 / Avg: 702.57 / Max: 704.24 Min: 768.62 / Avg: 772.09 / Max: 775.37 Min: 796.13 / Avg: 799.67 / Max: 804.84
Appleseed Appleseed is an open-source production renderer focused on physically-based global illumination rendering engine primarily designed for animation and visual effects. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Appleseed 2.0 Beta Scene: Emily EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 110 220 330 440 550 187.96 234.69 413.50 163.68 161.38 161.23 160.64 172.40 186.36 179.85 181.00 189.13 208.16 232.54 274.94 294.35 347.69 463.51 490.96 519.56
SVT-AV1 This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-AV1 CPU-based multi-threaded video encoder for the AV1 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 0.8 Encoder Mode: Enc Mode 4 - Input: 1080p EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 2 4 6 8 10 SE +/- 0.024, N = 3 SE +/- 0.019, N = 3 SE +/- 0.005, N = 3 SE +/- 0.075, N = 3 SE +/- 0.044, N = 3 SE +/- 0.048, N = 3 SE +/- 0.033, N = 3 SE +/- 0.038, N = 3 SE +/- 0.042, N = 3 SE +/- 0.007, N = 3 SE +/- 0.024, N = 3 SE +/- 0.021, N = 3 SE +/- 0.010, N = 3 SE +/- 0.039, N = 3 SE +/- 0.006, N = 3 SE +/- 0.006, N = 3 SE +/- 0.013, N = 3 SE +/- 0.004, N = 3 SE +/- 0.011, N = 3 SE +/- 0.002, N = 3 6.728 5.201 3.073 7.953 8.191 7.908 7.694 7.075 6.575 6.771 6.710 6.429 6.095 5.286 4.626 4.082 3.525 2.674 2.549 2.553 1. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 0.8 Encoder Mode: Enc Mode 4 - Input: 1080p EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 Min: 6.68 / Avg: 6.73 / Max: 6.77 Min: 5.17 / Avg: 5.2 / Max: 5.24 Min: 3.06 / Avg: 3.07 / Max: 3.08 Min: 7.8 / Avg: 7.95 / Max: 8.05 Min: 8.1 / Avg: 8.19 / Max: 8.24 Min: 7.85 / Avg: 7.91 / Max: 8 Min: 7.64 / Avg: 7.69 / Max: 7.75 Min: 7.02 / Avg: 7.07 / Max: 7.15 Min: 6.5 / Avg: 6.58 / Max: 6.64 Min: 6.76 / Avg: 6.77 / Max: 6.78 Min: 6.66 / Avg: 6.71 / Max: 6.74 Min: 6.41 / Avg: 6.43 / Max: 6.47 Min: 6.08 / Avg: 6.1 / Max: 6.11 Min: 5.22 / Avg: 5.29 / Max: 5.35 Min: 4.62 / Avg: 4.63 / Max: 4.64 Min: 4.07 / Avg: 4.08 / Max: 4.09 Min: 3.51 / Avg: 3.53 / Max: 3.55 Min: 2.67 / Avg: 2.67 / Max: 2.68 Min: 2.54 / Avg: 2.55 / Max: 2.57 Min: 2.55 / Avg: 2.55 / Max: 2.56 1. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
Stress-NG Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Memory Copying EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 4K 8K 12K 16K 20K SE +/- 41.62, N = 3 SE +/- 67.68, N = 3 SE +/- 23.96, N = 3 SE +/- 49.56, N = 3 SE +/- 78.70, N = 3 SE +/- 124.38, N = 3 SE +/- 41.28, N = 3 SE +/- 14.92, N = 3 SE +/- 25.22, N = 3 SE +/- 19.95, N = 3 SE +/- 14.74, N = 3 SE +/- 32.09, N = 3 SE +/- 40.62, N = 3 SE +/- 94.64, N = 3 SE +/- 29.43, N = 3 SE +/- 38.10, N = 3 SE +/- 135.36, N = 3 SE +/- 33.10, N = 3 SE +/- 61.54, N = 3 SE +/- 59.34, N = 3 12720.29 7434.42 6202.90 11015.81 11078.38 16521.40 10123.73 7802.82 16128.64 7700.23 7761.44 7605.32 11346.95 10647.64 10289.09 7481.74 10100.28 5960.35 8907.48 5237.68 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
Result Confidence
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Memory Copying EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 3K 6K 9K 12K 15K Min: 12641.78 / Avg: 12720.29 / Max: 12783.5 Min: 7303.88 / Avg: 7434.42 / Max: 7530.67 Min: 6166.89 / Avg: 6202.9 / Max: 6248.29 Min: 10929.71 / Avg: 11015.81 / Max: 11101.4 Min: 10989.75 / Avg: 11078.38 / Max: 11235.33 Min: 16299.62 / Avg: 16521.4 / Max: 16729.86 Min: 10042.08 / Avg: 10123.73 / Max: 10175.2 Min: 7787.89 / Avg: 7802.82 / Max: 7832.66 Min: 16087.02 / Avg: 16128.64 / Max: 16174.13 Min: 7668.41 / Avg: 7700.23 / Max: 7737 Min: 7744.12 / Avg: 7761.44 / Max: 7790.75 Min: 7541.26 / Avg: 7605.32 / Max: 7640.63 Min: 11276.08 / Avg: 11346.95 / Max: 11416.79 Min: 10468.89 / Avg: 10647.64 / Max: 10790.93 Min: 10238.06 / Avg: 10289.09 / Max: 10340.01 Min: 7424.73 / Avg: 7481.74 / Max: 7554.04 Min: 9846 / Avg: 10100.28 / Max: 10307.87 Min: 5911.46 / Avg: 5960.35 / Max: 6023.44 Min: 8795.57 / Avg: 8907.48 / Max: 9007.82 Min: 5157.6 / Avg: 5237.68 / Max: 5353.58 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
Timed FFmpeg Compilation This test times how long it takes to build FFmpeg. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Timed FFmpeg Compilation 4.2.2 Time To Compile EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 15 30 45 60 75 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 SE +/- 0.11, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.14, N = 3 SE +/- 0.13, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 26.20 30.98 52.39 20.97 20.96 22.28 22.53 24.83 26.28 26.02 26.11 27.43 29.07 32.75 36.77 40.04 47.62 60.02 64.50 65.84
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed FFmpeg Compilation 4.2.2 Time To Compile EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 13 26 39 52 65 Min: 26.09 / Avg: 26.2 / Max: 26.3 Min: 30.94 / Avg: 30.98 / Max: 31.02 Min: 52.34 / Avg: 52.39 / Max: 52.43 Min: 20.87 / Avg: 20.97 / Max: 21.12 Min: 20.86 / Avg: 20.96 / Max: 21.01 Min: 22.14 / Avg: 22.28 / Max: 22.37 Min: 22.46 / Avg: 22.53 / Max: 22.57 Min: 24.8 / Avg: 24.83 / Max: 24.89 Min: 26.19 / Avg: 26.28 / Max: 26.46 Min: 25.97 / Avg: 26.02 / Max: 26.06 Min: 25.93 / Avg: 26.11 / Max: 26.31 Min: 27.37 / Avg: 27.43 / Max: 27.47 Min: 29.03 / Avg: 29.07 / Max: 29.1 Min: 32.56 / Avg: 32.75 / Max: 33.03 Min: 36.55 / Avg: 36.77 / Max: 36.99 Min: 39.94 / Avg: 40.04 / Max: 40.18 Min: 47.58 / Avg: 47.62 / Max: 47.67 Min: 60 / Avg: 60.02 / Max: 60.04 Min: 64.46 / Avg: 64.5 / Max: 64.54 Min: 65.76 / Avg: 65.84 / Max: 65.98
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 2 4 6 8 10 SE +/- 0.00417, N = 3 SE +/- 0.02811, N = 3 SE +/- 0.02111, N = 3 SE +/- 0.03350, N = 3 SE +/- 0.03325, N = 5 SE +/- 0.00074, N = 3 SE +/- 0.01728, N = 3 SE +/- 0.00928, N = 3 SE +/- 0.03168, N = 3 SE +/- 0.02435, N = 3 SE +/- 0.00965, N = 3 SE +/- 0.00977, N = 3 SE +/- 0.01391, N = 3 SE +/- 0.02509, N = 3 SE +/- 0.04411, N = 3 SE +/- 0.05589, N = 3 SE +/- 0.02406, N = 3 SE +/- 0.01009, N = 3 SE +/- 0.04064, N = 3 SE +/- 0.02707, N = 3 4.32989 3.41464 6.68499 3.08453 2.76936 2.61369 3.66187 3.92547 3.00812 3.86201 3.90825 3.91971 3.99262 4.31821 4.10317 6.09158 6.60647 6.98966 8.11390 7.71084 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 Min: 4.32 / Avg: 4.33 / Max: 4.34 Min: 3.36 / Avg: 3.41 / Max: 3.46 Min: 6.64 / Avg: 6.68 / Max: 6.71 Min: 3.03 / Avg: 3.08 / Max: 3.15 Min: 2.69 / Avg: 2.77 / Max: 2.89 Min: 2.61 / Avg: 2.61 / Max: 2.62 Min: 3.63 / Avg: 3.66 / Max: 3.69 Min: 3.91 / Avg: 3.93 / Max: 3.94 Min: 2.95 / Avg: 3.01 / Max: 3.06 Min: 3.83 / Avg: 3.86 / Max: 3.91 Min: 3.9 / Avg: 3.91 / Max: 3.93 Min: 3.9 / Avg: 3.92 / Max: 3.94 Min: 3.97 / Avg: 3.99 / Max: 4.02 Min: 4.27 / Avg: 4.32 / Max: 4.35 Min: 4.02 / Avg: 4.1 / Max: 4.15 Min: 6.03 / Avg: 6.09 / Max: 6.2 Min: 6.57 / Avg: 6.61 / Max: 6.65 Min: 6.97 / Avg: 6.99 / Max: 7.01 Min: 8.06 / Avg: 8.11 / Max: 8.19 Min: 7.68 / Avg: 7.71 / Max: 7.76 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
Incompact3D Incompact3d is a Fortran-MPI based, finite difference high-performance code for solving the incompressible Navier-Stokes equation and as many as you need scalar transport equations. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Incompact3D 2020-09-17 Input: Cylinder EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 130 260 390 520 650 SE +/- 0.58, N = 3 SE +/- 0.82, N = 3 SE +/- 6.58, N = 3 SE +/- 1.62, N = 3 SE +/- 0.95, N = 3 SE +/- 0.76, N = 3 SE +/- 1.20, N = 3 SE +/- 0.64, N = 3 SE +/- 0.48, N = 3 SE +/- 1.89, N = 3 SE +/- 1.27, N = 3 SE +/- 0.49, N = 3 SE +/- 0.37, N = 3 SE +/- 3.11, N = 9 SE +/- 0.81, N = 3 SE +/- 6.71, N = 9 SE +/- 4.56, N = 3 SE +/- 0.80, N = 3 SE +/- 7.53, N = 9 SE +/- 1.08, N = 3 194.96 233.39 499.28 265.33 227.28 210.54 228.99 201.48 206.40 204.09 200.15 212.92 212.14 291.31 274.72 288.45 465.36 433.82 604.18 463.50 1. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent -levent_pthreads -lutil -lm -lrt -lz
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Incompact3D 2020-09-17 Input: Cylinder EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 110 220 330 440 550 Min: 193.94 / Avg: 194.96 / Max: 195.95 Min: 232.52 / Avg: 233.39 / Max: 235.04 Min: 486.13 / Avg: 499.28 / Max: 505.9 Min: 262.49 / Avg: 265.33 / Max: 268.09 Min: 225.5 / Avg: 227.28 / Max: 228.76 Min: 209.21 / Avg: 210.54 / Max: 211.84 Min: 227.01 / Avg: 228.99 / Max: 231.15 Min: 200.38 / Avg: 201.48 / Max: 202.6 Min: 205.48 / Avg: 206.4 / Max: 207.09 Min: 202 / Avg: 204.09 / Max: 207.87 Min: 197.97 / Avg: 200.15 / Max: 202.38 Min: 211.96 / Avg: 212.92 / Max: 213.58 Min: 211.46 / Avg: 212.14 / Max: 212.71 Min: 277.74 / Avg: 291.31 / Max: 308.01 Min: 273.12 / Avg: 274.72 / Max: 275.73 Min: 278.16 / Avg: 288.45 / Max: 341.07 Min: 459.49 / Avg: 465.36 / Max: 474.33 Min: 432.32 / Avg: 433.82 / Max: 435.08 Min: 572.84 / Avg: 604.18 / Max: 632.97 Min: 461.34 / Avg: 463.5 / Max: 464.59 1. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent -levent_pthreads -lutil -lm -lrt -lz
GraphicsMagick This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.33 Operation: Noise-Gaussian EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 140 280 420 560 700 SE +/- 0.88, N = 3 SE +/- 0.33, N = 3 SE +/- 1.20, N = 3 SE +/- 1.76, N = 3 SE +/- 1.45, N = 3 SE +/- 0.67, N = 3 SE +/- 0.67, N = 3 SE +/- 1.00, N = 3 SE +/- 1.15, N = 3 SE +/- 1.53, N = 3 SE +/- 0.58, N = 3 SE +/- 0.33, N = 3 SE +/- 0.67, N = 3 SE +/- 0.33, N = 3 492 419 251 632 648 588 603 539 497 545 548 507 471 432 382 356 294 225 212 214 1. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
Result Confidence
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.33 Operation: Noise-Gaussian EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 110 220 330 440 550 Min: 490 / Avg: 491.67 / Max: 493 Min: 418 / Avg: 418.67 / Max: 419 Min: 630 / Avg: 631.67 / Max: 634 Min: 645 / Avg: 647.67 / Max: 651 Min: 601 / Avg: 603.33 / Max: 606 Min: 538 / Avg: 539.33 / Max: 540 Min: 496 / Avg: 497.33 / Max: 498 Min: 543 / Avg: 545 / Max: 546 Min: 546 / Avg: 548 / Max: 550 Min: 469 / Avg: 471 / Max: 474 Min: 431 / Avg: 432 / Max: 433 Min: 293 / Avg: 293.67 / Max: 294 Min: 224 / Avg: 225.33 / Max: 226 Min: 211 / Avg: 211.67 / Max: 212 1. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
Y-Cruncher Y-Cruncher is a multi-threaded Pi benchmark. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Y-Cruncher 0.7.8.9503 Calculating 500M Pi Digits EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 6 12 18 24 30 SE +/- 0.002, N = 3 SE +/- 0.014, N = 3 SE +/- 0.053, N = 3 SE +/- 0.008, N = 3 SE +/- 0.006, N = 3 SE +/- 0.009, N = 3 SE +/- 0.014, N = 3 SE +/- 0.015, N = 3 SE +/- 0.018, N = 3 SE +/- 0.004, N = 3 SE +/- 0.006, N = 3 SE +/- 0.006, N = 3 SE +/- 0.020, N = 3 SE +/- 0.016, N = 3 SE +/- 0.030, N = 3 SE +/- 0.002, N = 3 SE +/- 0.016, N = 3 SE +/- 0.015, N = 3 SE +/- 0.007, N = 3 SE +/- 0.023, N = 3 9.558 12.411 21.365 8.356 8.189 8.666 8.697 8.954 9.593 9.417 9.410 9.989 10.630 11.955 14.043 15.297 18.688 22.699 24.972 24.758
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Y-Cruncher 0.7.8.9503 Calculating 500M Pi Digits EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 6 12 18 24 30 Min: 9.55 / Avg: 9.56 / Max: 9.56 Min: 12.4 / Avg: 12.41 / Max: 12.44 Min: 21.29 / Avg: 21.37 / Max: 21.47 Min: 8.35 / Avg: 8.36 / Max: 8.37 Min: 8.18 / Avg: 8.19 / Max: 8.2 Min: 8.65 / Avg: 8.67 / Max: 8.68 Min: 8.67 / Avg: 8.7 / Max: 8.72 Min: 8.94 / Avg: 8.95 / Max: 8.98 Min: 9.57 / Avg: 9.59 / Max: 9.63 Min: 9.41 / Avg: 9.42 / Max: 9.42 Min: 9.4 / Avg: 9.41 / Max: 9.42 Min: 9.98 / Avg: 9.99 / Max: 10 Min: 10.59 / Avg: 10.63 / Max: 10.66 Min: 11.93 / Avg: 11.96 / Max: 11.99 Min: 13.98 / Avg: 14.04 / Max: 14.07 Min: 15.29 / Avg: 15.3 / Max: 15.3 Min: 18.67 / Avg: 18.69 / Max: 18.72 Min: 22.68 / Avg: 22.7 / Max: 22.73 Min: 24.97 / Avg: 24.97 / Max: 24.99 Min: 24.72 / Avg: 24.76 / Max: 24.8
Basis Universal Basis Universal is a GPU texture codoec. This test times how long it takes to convert sRGB PNGs into Basis Univeral assets with various settings. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Basis Universal 1.12 Settings: UASTC Level 2 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 9 18 27 36 45 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 16.99 20.03 33.35 13.50 13.37 14.31 14.42 15.78 16.90 16.50 16.49 17.22 18.38 20.54 23.73 24.53 29.84 38.32 40.71 40.08 1. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Basis Universal 1.12 Settings: UASTC Level 2 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 8 16 24 32 40 Min: 16.98 / Avg: 16.99 / Max: 17 Min: 20.02 / Avg: 20.03 / Max: 20.05 Min: 33.34 / Avg: 33.35 / Max: 33.36 Min: 13.48 / Avg: 13.5 / Max: 13.52 Min: 13.37 / Avg: 13.37 / Max: 13.38 Min: 14.28 / Avg: 14.31 / Max: 14.35 Min: 14.38 / Avg: 14.42 / Max: 14.46 Min: 15.75 / Avg: 15.78 / Max: 15.83 Min: 16.87 / Avg: 16.9 / Max: 16.92 Min: 16.5 / Avg: 16.5 / Max: 16.51 Min: 16.48 / Avg: 16.49 / Max: 16.5 Min: 17.21 / Avg: 17.22 / Max: 17.23 Min: 18.34 / Avg: 18.38 / Max: 18.4 Min: 20.5 / Avg: 20.54 / Max: 20.56 Min: 23.7 / Avg: 23.73 / Max: 23.74 Min: 24.5 / Avg: 24.53 / Max: 24.55 Min: 29.81 / Avg: 29.84 / Max: 29.87 Min: 38.3 / Avg: 38.32 / Max: 38.35 Min: 40.67 / Avg: 40.71 / Max: 40.8 Min: 40.02 / Avg: 40.08 / Max: 40.19 1. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
Kvazaar This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Slow EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 9.62 5.30 12.45 13.16 12.83 12.64 12.59 11.50 12.08 11.98 11.25 9.24 8.34 8.19 7.70 5.79 4.63 4.38 4.34 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Slow EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 4 8 12 16 20 Min: 9.61 / Avg: 9.62 / Max: 9.63 Min: 5.28 / Avg: 5.3 / Max: 5.31 Min: 12.42 / Avg: 12.45 / Max: 12.49 Min: 13.12 / Avg: 13.16 / Max: 13.18 Min: 12.81 / Avg: 12.83 / Max: 12.86 Min: 12.59 / Avg: 12.64 / Max: 12.67 Min: 12.58 / Avg: 12.59 / Max: 12.6 Min: 11.49 / Avg: 11.5 / Max: 11.51 Min: 12.06 / Avg: 12.08 / Max: 12.1 Min: 11.94 / Avg: 11.98 / Max: 12.02 Min: 11.24 / Avg: 11.25 / Max: 11.27 Min: 9.22 / Avg: 9.24 / Max: 9.25 Min: 8.33 / Avg: 8.34 / Max: 8.34 Min: 8.17 / Avg: 8.19 / Max: 8.21 Min: 7.68 / Avg: 7.7 / Max: 7.72 Min: 5.79 / Avg: 5.79 / Max: 5.8 Min: 4.62 / Avg: 4.63 / Max: 4.63 Min: 4.37 / Avg: 4.38 / Max: 4.38 Min: 4.33 / Avg: 4.34 / Max: 4.35 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
Result
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Medium EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 9.78 5.41 12.63 13.35 13.04 12.80 12.83 11.70 12.24 12.22 11.44 9.37 8.51 8.34 7.84 5.91 4.71 4.46 4.41 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Medium EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 4 8 12 16 20 Min: 9.77 / Avg: 9.78 / Max: 9.81 Min: 5.4 / Avg: 5.41 / Max: 5.42 Min: 12.62 / Avg: 12.63 / Max: 12.63 Min: 13.34 / Avg: 13.35 / Max: 13.38 Min: 13.02 / Avg: 13.04 / Max: 13.05 Min: 12.76 / Avg: 12.8 / Max: 12.85 Min: 12.82 / Avg: 12.83 / Max: 12.84 Min: 11.68 / Avg: 11.7 / Max: 11.71 Min: 12.21 / Avg: 12.24 / Max: 12.26 Min: 12.2 / Avg: 12.22 / Max: 12.24 Min: 11.41 / Avg: 11.44 / Max: 11.45 Min: 9.34 / Avg: 9.37 / Max: 9.4 Min: 8.5 / Avg: 8.51 / Max: 8.51 Min: 8.31 / Avg: 8.34 / Max: 8.36 Min: 7.81 / Avg: 7.84 / Max: 7.86 Min: 5.9 / Avg: 5.91 / Max: 5.91 Min: 4.7 / Avg: 4.71 / Max: 4.72 Min: 4.45 / Avg: 4.46 / Max: 4.47 Min: 4.41 / Avg: 4.41 / Max: 4.42 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPU EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 0.7973 1.5946 2.3919 3.1892 3.9865 SE +/- 0.00044, N = 3 SE +/- 0.00098, N = 3 SE +/- 0.01854, N = 3 SE +/- 0.03257, N = 3 SE +/- 0.01389, N = 3 SE +/- 0.01158, N = 3 SE +/- 0.01138, N = 3 SE +/- 0.00451, N = 3 SE +/- 0.01751, N = 5 SE +/- 0.00299, N = 3 SE +/- 0.01607, N = 3 SE +/- 0.00983, N = 3 SE +/- 0.01782, N = 3 SE +/- 0.01559, N = 3 SE +/- 0.00075, N = 3 SE +/- 0.00586, N = 3 SE +/- 0.02463, N = 3 SE +/- 0.01144, N = 3 SE +/- 0.00803, N = 3 SE +/- 0.01156, N = 3 1.32784 1.49718 2.99726 2.96316 2.67161 2.18140 2.28719 1.17179 1.30689 1.17917 1.22438 1.37066 1.52009 1.74833 1.71797 1.81722 2.64623 3.16012 3.54349 3.52616 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPU EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 2 4 6 8 10 Min: 1.33 / Avg: 1.33 / Max: 1.33 Min: 1.5 / Avg: 1.5 / Max: 1.5 Min: 2.98 / Avg: 3 / Max: 3.03 Min: 2.9 / Avg: 2.96 / Max: 3.01 Min: 2.64 / Avg: 2.67 / Max: 2.69 Min: 2.16 / Avg: 2.18 / Max: 2.2 Min: 2.27 / Avg: 2.29 / Max: 2.31 Min: 1.17 / Avg: 1.17 / Max: 1.18 Min: 1.28 / Avg: 1.31 / Max: 1.38 Min: 1.17 / Avg: 1.18 / Max: 1.18 Min: 1.19 / Avg: 1.22 / Max: 1.25 Min: 1.35 / Avg: 1.37 / Max: 1.38 Min: 1.49 / Avg: 1.52 / Max: 1.55 Min: 1.72 / Avg: 1.75 / Max: 1.78 Min: 1.72 / Avg: 1.72 / Max: 1.72 Min: 1.81 / Avg: 1.82 / Max: 1.83 Min: 2.62 / Avg: 2.65 / Max: 2.7 Min: 3.14 / Avg: 3.16 / Max: 3.18 Min: 3.53 / Avg: 3.54 / Max: 3.56 Min: 3.51 / Avg: 3.53 / Max: 3.55 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
Polyhedron Fortran Benchmarks The Fortran.uk Polyhedron Fortran Benchmarks for comparing Fortran compiler performance. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Polyhedron Fortran Benchmarks Benchmark: tfft2 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 14 28 42 56 70 20.97 50.45 51.00 33.11 32.97 34.89 54.09 56.03 45.33 56.92 56.55 56.48 56.73 60.38 57.12 58.54 59.08 55.58 58.26 62.97
OSPray Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific visualizations. OSPray builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: Magnetic Reconnection - Renderer: Path Tracer EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 70 140 210 280 350 SE +/- 4.54, N = 15 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 SE +/- 9.36, N = 12 SE +/- 0.00, N = 12 SE +/- 0.00, N = 15 SE +/- 0.00, N = 15 SE +/- 0.00, N = 15 250.00 243.00 125.00 333.33 333.33 333.33 333.33 319.44 250.00 250.00 250.00 250.00 250.00 250.00 200.00 200.00 166.67 111.11 111.11 111.11
Result Confidence
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: Magnetic Reconnection - Renderer: Path Tracer EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 60 120 180 240 300 Min: 200 / Avg: 243.33 / Max: 250 Min: 333.33 / Avg: 333.33 / Max: 333.33 Min: 333.33 / Avg: 333.33 / Max: 333.33 Min: 333.33 / Avg: 333.33 / Max: 333.33 Min: 333.33 / Avg: 333.33 / Max: 333.33 Min: 250 / Avg: 319.44 / Max: 333.33 Min: 166.67 / Avg: 166.67 / Max: 166.67 Min: 111.11 / Avg: 111.11 / Max: 111.11 Min: 111.11 / Avg: 111.11 / Max: 111.11 Min: 111.11 / Avg: 111.11 / Max: 111.11
YafaRay YafaRay is an open-source physically based montecarlo ray-tracing engine. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better YafaRay 3.4.1 Total Time For Sample Scene EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 40 80 120 160 200 SE +/- 0.24, N = 3 SE +/- 1.42, N = 3 SE +/- 2.84, N = 3 SE +/- 0.37, N = 3 SE +/- 0.73, N = 7 SE +/- 0.89, N = 5 SE +/- 1.11, N = 3 SE +/- 0.83, N = 3 SE +/- 0.28, N = 3 SE +/- 1.00, N = 3 SE +/- 1.21, N = 3 SE +/- 0.64, N = 3 SE +/- 1.36, N = 3 SE +/- 0.34, N = 3 SE +/- 1.77, N = 3 SE +/- 0.72, N = 3 SE +/- 1.31, N = 3 SE +/- 3.20, N = 3 SE +/- 1.77, N = 3 SE +/- 1.26, N = 3 84.24 127.78 171.15 69.08 65.13 67.48 65.39 67.57 84.19 69.77 70.38 76.33 82.57 90.57 112.44 103.64 133.27 193.75 191.40 186.60 1. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lpthread
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better YafaRay 3.4.1 Total Time For Sample Scene EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 40 80 120 160 200 Min: 83.83 / Avg: 84.24 / Max: 84.64 Min: 125.05 / Avg: 127.78 / Max: 129.85 Min: 167.3 / Avg: 171.15 / Max: 176.69 Min: 68.68 / Avg: 69.08 / Max: 69.82 Min: 61.91 / Avg: 65.13 / Max: 67.08 Min: 64.99 / Avg: 67.48 / Max: 69.65 Min: 63.33 / Avg: 65.39 / Max: 67.14 Min: 65.98 / Avg: 67.57 / Max: 68.77 Min: 83.84 / Avg: 84.19 / Max: 84.75 Min: 68.75 / Avg: 69.77 / Max: 71.77 Min: 67.97 / Avg: 70.38 / Max: 71.8 Min: 75.06 / Avg: 76.33 / Max: 77.02 Min: 80.22 / Avg: 82.57 / Max: 84.93 Min: 90.16 / Avg: 90.57 / Max: 91.26 Min: 108.9 / Avg: 112.44 / Max: 114.31 Min: 102.22 / Avg: 103.64 / Max: 104.57 Min: 130.66 / Avg: 133.27 / Max: 134.78 Min: 187.36 / Avg: 193.75 / Max: 197.04 Min: 187.94 / Avg: 191.4 / Max: 193.8 Min: 185.16 / Avg: 186.59 / Max: 189.11 1. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lpthread
Xsbench XSBench is a mini-app representing a key computational kernel of the Monte Carlo neutronics application OpenMC. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Lookups/s, More Is Better Xsbench 2017-07-06 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 1.4M 2.8M 4.2M 5.6M 7M SE +/- 11987.30, N = 3 SE +/- 8758.84, N = 3 SE +/- 1809.82, N = 3 SE +/- 4550.43, N = 3 SE +/- 11017.89, N = 3 SE +/- 10391.88, N = 3 SE +/- 2161.64, N = 3 SE +/- 1352.61, N = 3 SE +/- 3392.60, N = 3 SE +/- 1381.63, N = 3 SE +/- 11686.42, N = 3 SE +/- 10150.69, N = 3 SE +/- 12295.11, N = 3 SE +/- 74928.50, N = 3 SE +/- 15658.57, N = 3 SE +/- 4822.94, N = 3 SE +/- 4275.20, N = 3 SE +/- 9065.81, N = 3 SE +/- 6821.32, N = 3 SE +/- 3427.00, N = 3 5843383 4585335 2378481 6215179 6231095 6324546 6164612 5550661 6307291 5568287 5522472 5532974 5371013 5195397 4271821 4070067 3228017 2247000 2195652 2140186 1. (CC) gcc options: -std=gnu99 -fopenmp -O3 -lm
Result Confidence
OpenBenchmarking.org Lookups/s, More Is Better Xsbench 2017-07-06 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 1.1M 2.2M 3.3M 4.4M 5.5M Min: 5819818 / Avg: 5843383 / Max: 5858987 Min: 4568020 / Avg: 4585334.67 / Max: 4596295 Min: 2375572 / Avg: 2378481.33 / Max: 2381801 Min: 6208570 / Avg: 6215179 / Max: 6223902 Min: 6213281 / Avg: 6231095.33 / Max: 6251235 Min: 6311937 / Avg: 6324546 / Max: 6345159 Min: 6161836 / Avg: 6164611.67 / Max: 6168870 Min: 5548140 / Avg: 5550661.33 / Max: 5552771 Min: 6301349 / Avg: 6307291.33 / Max: 6313099 Min: 5566364 / Avg: 5568287 / Max: 5570967 Min: 5499170 / Avg: 5522471.67 / Max: 5535701 Min: 5521561 / Avg: 5532974.33 / Max: 5553221 Min: 5346542 / Avg: 5371013 / Max: 5385343 Min: 5045873 / Avg: 5195397 / Max: 5278806 Min: 4240519 / Avg: 4271821 / Max: 4288315 Min: 4060974 / Avg: 4070067 / Max: 4077401 Min: 3223580 / Avg: 3228016.67 / Max: 3236565 Min: 2230117 / Avg: 2246999.67 / Max: 2261168 Min: 2186761 / Avg: 2195652.33 / Max: 2209059 Min: 2134305 / Avg: 2140185.67 / Max: 2146175 1. (CC) gcc options: -std=gnu99 -fopenmp -O3 -lm
GraphicsMagick This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.33 Operation: Resizing EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 400 800 1200 1600 2000 SE +/- 3.76, N = 3 SE +/- 5.00, N = 3 SE +/- 2.08, N = 3 SE +/- 13.30, N = 15 SE +/- 25.93, N = 15 SE +/- 19.81, N = 15 SE +/- 16.76, N = 3 SE +/- 10.58, N = 3 SE +/- 28.17, N = 3 SE +/- 13.35, N = 3 SE +/- 9.67, N = 3 SE +/- 13.45, N = 3 SE +/- 6.08, N = 3 SE +/- 3.61, N = 3 SE +/- 1.00, N = 3 SE +/- 3.33, N = 3 SE +/- 1.86, N = 3 SE +/- 1.53, N = 3 SE +/- 2.33, N = 3 1846 1599 878 741 975 1664 1657 1957 1805 1945 1845 1744 1664 1495 1404 1194 1021 776 768 675 1. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
Result Confidence
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.33 Operation: Resizing EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 300 600 900 1200 1500 Min: 1839 / Avg: 1845.67 / Max: 1852 Min: 1594 / Avg: 1599 / Max: 1609 Min: 875 / Avg: 878 / Max: 882 Min: 658 / Avg: 740.67 / Max: 849 Min: 802 / Avg: 974.87 / Max: 1155 Min: 1535 / Avg: 1663.87 / Max: 1807 Min: 1625 / Avg: 1656.67 / Max: 1682 Min: 1941 / Avg: 1957 / Max: 1977 Min: 1749 / Avg: 1804.67 / Max: 1840 Min: 1923 / Avg: 1944.67 / Max: 1969 Min: 1835 / Avg: 1844.67 / Max: 1864 Min: 1728 / Avg: 1744.33 / Max: 1771 Min: 1654 / Avg: 1664 / Max: 1675 Min: 1488 / Avg: 1495 / Max: 1500 Min: 1402 / Avg: 1404 / Max: 1405 Min: 1191 / Avg: 1194.33 / Max: 1201 Min: 774 / Avg: 776.33 / Max: 780 Min: 766 / Avg: 768 / Max: 771 Min: 671 / Avg: 675.33 / Max: 679 1. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
TensorFlow Lite This is a benchmark of the TensorFlow Lite implementation. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: NASNet Mobile EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 50K 100K 150K 200K 250K SE +/- 517.53, N = 3 SE +/- 67.65, N = 3 SE +/- 933.85, N = 3 SE +/- 1020.34, N = 3 SE +/- 457.90, N = 3 SE +/- 194.61, N = 3 SE +/- 440.36, N = 3 SE +/- 672.62, N = 15 SE +/- 101.95, N = 3 SE +/- 1088.69, N = 3 SE +/- 1070.25, N = 6 SE +/- 411.16, N = 3 SE +/- 233.28, N = 3 SE +/- 404.73, N = 3 SE +/- 548.31, N = 3 SE +/- 552.61, N = 3 SE +/- 1339.85, N = 3 SE +/- 2475.55, N = 3 SE +/- 2446.09, N = 3 SE +/- 894.92, N = 3 102435.0 127726.0 187285.0 124043.0 88189.3 89518.2 92446.9 83541.0 100961.0 85985.3 88852.0 96229.2 106140.0 123038.0 147770.0 150797.0 194837.0 218108.0 239227.0 213852.0
Result Confidence
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: NASNet Mobile EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 40K 80K 120K 160K 200K Min: 101409 / Avg: 102434.67 / Max: 103068 Min: 127593 / Avg: 127725.67 / Max: 127815 Min: 185504 / Avg: 187284.67 / Max: 188663 Min: 122075 / Avg: 124042.67 / Max: 125495 Min: 87277.5 / Avg: 88189.3 / Max: 88719.3 Min: 89280.7 / Avg: 89518.2 / Max: 89904 Min: 91614 / Avg: 92446.87 / Max: 93111.3 Min: 79803.3 / Avg: 83541.04 / Max: 88828.7 Min: 100793 / Avg: 100960.67 / Max: 101145 Min: 84090 / Avg: 85985.27 / Max: 87861.2 Min: 85098.3 / Avg: 88851.98 / Max: 91485.1 Min: 95408.3 / Avg: 96229.23 / Max: 96681.1 Min: 105676 / Avg: 106140.33 / Max: 106412 Min: 122592 / Avg: 123038 / Max: 123846 Min: 147190 / Avg: 147770 / Max: 148866 Min: 150189 / Avg: 150796.67 / Max: 151900 Min: 192157 / Avg: 194836.67 / Max: 196187 Min: 215543 / Avg: 218108 / Max: 223058 Min: 235037 / Avg: 239226.67 / Max: 243509 Min: 212521 / Avg: 213852.33 / Max: 215554
TTSIOD 3D Renderer A portable GPL 3D software renderer that supports OpenMP and Intel Threading Building Blocks with many different rendering modes. This version does not use OpenGL but is entirely CPU/software based. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org FPS, More Is Better TTSIOD 3D Renderer 2.3b Phong Rendering With Soft-Shadow Mapping EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 200 400 600 800 1000 SE +/- 3.68, N = 3 SE +/- 1.41, N = 3 SE +/- 0.46, N = 3 SE +/- 4.75, N = 3 SE +/- 2.19, N = 3 SE +/- 8.34, N = 15 SE +/- 7.28, N = 3 SE +/- 3.71, N = 3 SE +/- 4.59, N = 3 SE +/- 3.81, N = 3 SE +/- 2.26, N = 3 SE +/- 5.12, N = 3 SE +/- 8.62, N = 3 SE +/- 7.21, N = 3 SE +/- 3.78, N = 3 SE +/- 0.93, N = 3 SE +/- 0.52, N = 3 SE +/- 0.72, N = 3 SE +/- 0.93, N = 3 SE +/- 1.15, N = 3 768.16 593.00 346.00 710.07 861.61 851.38 876.16 854.03 734.97 857.35 855.91 835.18 722.39 601.42 562.70 573.75 418.94 316.48 313.26 335.86 1. (CXX) g++ options: -O3 -fomit-frame-pointer -ffast-math -mtune=native -flto -msse -mrecip -mfpmath=sse -msse2 -mssse3 -lSDL -fopenmp -fwhole-program -lstdc++
Result Confidence
OpenBenchmarking.org FPS, More Is Better TTSIOD 3D Renderer 2.3b Phong Rendering With Soft-Shadow Mapping EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 150 300 450 600 750 Min: 760.8 / Avg: 768.16 / Max: 772.02 Min: 590.18 / Avg: 593 / Max: 594.5 Min: 345.39 / Avg: 346 / Max: 346.9 Min: 701.61 / Avg: 710.07 / Max: 718.03 Min: 857.78 / Avg: 861.61 / Max: 865.35 Min: 820.21 / Avg: 851.38 / Max: 945 Min: 864.6 / Avg: 876.16 / Max: 889.6 Min: 846.67 / Avg: 854.03 / Max: 858.59 Min: 727.27 / Avg: 734.97 / Max: 743.16 Min: 849.83 / Avg: 857.35 / Max: 862.22 Min: 851.43 / Avg: 855.91 / Max: 858.66 Min: 826.38 / Avg: 835.18 / Max: 844.1 Min: 706.02 / Avg: 722.39 / Max: 735.24 Min: 589.76 / Avg: 601.42 / Max: 614.59 Min: 555.16 / Avg: 562.7 / Max: 566.8 Min: 572.74 / Avg: 573.75 / Max: 575.61 Min: 418.01 / Avg: 418.94 / Max: 419.82 Min: 315.07 / Avg: 316.48 / Max: 317.43 Min: 311.97 / Avg: 313.26 / Max: 315.06 Min: 334.12 / Avg: 335.86 / Max: 338.03 1. (CXX) g++ options: -O3 -fomit-frame-pointer -ffast-math -mtune=native -flto -msse -mrecip -mfpmath=sse -msse2 -mssse3 -lSDL -fopenmp -fwhole-program -lstdc++
x265 This is a simple test of the x265 encoder run on the CPU with 1080p and 4K options for H.265 video encode performance with x265. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better x265 3.4 Video Input: Bosphorus 4K EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 6 12 18 24 30 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.06, N = 3 SE +/- 0.12, N = 3 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.09, N = 9 SE +/- 0.08, N = 3 SE +/- 0.08, N = 3 20.63 9.96 22.11 22.85 22.96 23.43 23.10 21.52 22.28 22.07 21.72 21.38 20.06 18.80 18.55 15.92 8.80 8.65 8.39 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better x265 3.4 Video Input: Bosphorus 4K EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 5 10 15 20 25 Min: 20.56 / Avg: 20.63 / Max: 20.74 Min: 9.95 / Avg: 9.96 / Max: 9.98 Min: 22.05 / Avg: 22.11 / Max: 22.22 Min: 22.78 / Avg: 22.85 / Max: 22.97 Min: 22.73 / Avg: 22.96 / Max: 23.08 Min: 23.32 / Avg: 23.43 / Max: 23.57 Min: 23.03 / Avg: 23.1 / Max: 23.2 Min: 21.49 / Avg: 21.52 / Max: 21.55 Min: 22.25 / Avg: 22.28 / Max: 22.3 Min: 22.01 / Avg: 22.07 / Max: 22.13 Min: 21.69 / Avg: 21.72 / Max: 21.76 Min: 21.34 / Avg: 21.38 / Max: 21.41 Min: 20.04 / Avg: 20.06 / Max: 20.07 Min: 18.74 / Avg: 18.8 / Max: 18.89 Min: 18.51 / Avg: 18.55 / Max: 18.58 Min: 15.8 / Avg: 15.92 / Max: 16.02 Min: 8.46 / Avg: 8.8 / Max: 9.28 Min: 8.5 / Avg: 8.65 / Max: 8.76 Min: 8.24 / Avg: 8.39 / Max: 8.53 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
Facebook RocksDB This is a benchmark of Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Op/s, More Is Better Facebook RocksDB 6.3.6 Test: Sequential Fill EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 200K 400K 600K 800K 1000K SE +/- 6259.81, N = 11 SE +/- 1524.48, N = 3 SE +/- 5220.90, N = 8 SE +/- 320.44, N = 3 SE +/- 386.83, N = 3 SE +/- 202.26, N = 3 SE +/- 161.22, N = 3 SE +/- 40675.14, N = 15 SE +/- 1164.99, N = 3 SE +/- 416.48, N = 3 SE +/- 920.11, N = 3 SE +/- 346.34, N = 3 SE +/- 4315.53, N = 3 SE +/- 4423.99, N = 3 SE +/- 9257.15, N = 3 SE +/- 2819.70, N = 3 SE +/- 8602.32, N = 3 SE +/- 6337.53, N = 3 SE +/- 7046.75, N = 3 SE +/- 4574.26, N = 3 712718 590994 506118 297390 298290 284086 310241 674066 283541 358699 328810 335316 787488 673423 627525 640966 574354 456675 469574 464241 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
Result Confidence
OpenBenchmarking.org Op/s, More Is Better Facebook RocksDB 6.3.6 Test: Sequential Fill EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 140K 280K 420K 560K 700K Min: 685758 / Avg: 712718 / Max: 751042 Min: 588002 / Avg: 590994.33 / Max: 592997 Min: 481898 / Avg: 506117.63 / Max: 523042 Min: 297028 / Avg: 297390 / Max: 298029 Min: 297519 / Avg: 298290.33 / Max: 298728 Min: 283684 / Avg: 284086 / Max: 284326 Min: 310045 / Avg: 310241.33 / Max: 310561 Min: 381485 / Avg: 674066.47 / Max: 841490 Min: 282294 / Avg: 283541 / Max: 285869 Min: 357882 / Avg: 358698.67 / Max: 359249 Min: 327023 / Avg: 328810 / Max: 330084 Min: 334741 / Avg: 335316 / Max: 335938 Min: 778964 / Avg: 787487.67 / Max: 792925 Min: 664708 / Avg: 673423 / Max: 679104 Min: 609012 / Avg: 627525 / Max: 636971 Min: 635510 / Avg: 640965.67 / Max: 644930 Min: 558593 / Avg: 574353.67 / Max: 588209 Min: 448311 / Avg: 456675.33 / Max: 469105 Min: 461485 / Avg: 469573.67 / Max: 483613 Min: 459420 / Avg: 464241 / Max: 473385 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
Kvazaar This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Medium EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 12 24 36 48 60 SE +/- 0.08, N = 3 SE +/- 0.04, N = 3 SE +/- 0.09, N = 3 SE +/- 0.02, N = 3 SE +/- 0.09, N = 3 SE +/- 0.10, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.11, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.08, N = 3 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 34.75 23.16 48.68 51.19 45.08 44.71 31.94 30.11 30.79 30.77 30.36 30.60 28.14 29.30 28.31 21.67 20.03 19.08 18.97 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Medium EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 10 20 30 40 50 Min: 34.58 / Avg: 34.75 / Max: 34.85 Min: 23.11 / Avg: 23.16 / Max: 23.24 Min: 48.49 / Avg: 48.68 / Max: 48.79 Min: 51.16 / Avg: 51.19 / Max: 51.24 Min: 44.9 / Avg: 45.08 / Max: 45.18 Min: 44.52 / Avg: 44.71 / Max: 44.88 Min: 31.87 / Avg: 31.94 / Max: 31.99 Min: 30.01 / Avg: 30.11 / Max: 30.19 Min: 30.69 / Avg: 30.79 / Max: 30.85 Min: 30.69 / Avg: 30.77 / Max: 30.84 Min: 30.21 / Avg: 30.36 / Max: 30.58 Min: 30.52 / Avg: 30.6 / Max: 30.67 Min: 28.04 / Avg: 28.14 / Max: 28.26 Min: 29.22 / Avg: 29.3 / Max: 29.46 Min: 28.2 / Avg: 28.31 / Max: 28.39 Min: 21.62 / Avg: 21.67 / Max: 21.76 Min: 19.98 / Avg: 20.03 / Max: 20.05 Min: 19.05 / Avg: 19.08 / Max: 19.1 Min: 18.96 / Avg: 18.97 / Max: 18.98 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
Stress-NG Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: System V Message Passing EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 4M 8M 12M 16M 20M SE +/- 196361.88, N = 3 SE +/- 92644.45, N = 10 SE +/- 98081.03, N = 4 SE +/- 23882.84, N = 3 SE +/- 8693.64, N = 3 SE +/- 82031.38, N = 3 SE +/- 39273.11, N = 3 SE +/- 31948.05, N = 3 SE +/- 181654.19, N = 3 SE +/- 15756.34, N = 3 SE +/- 32302.81, N = 3 SE +/- 68594.59, N = 3 SE +/- 36622.92, N = 3 SE +/- 28849.95, N = 3 SE +/- 162466.69, N = 3 SE +/- 17504.90, N = 3 SE +/- 38085.55, N = 3 SE +/- 114237.77, N = 3 SE +/- 69777.45, N = 3 SE +/- 65857.23, N = 3 12740323.69 10221764.78 7202954.68 17265800.06 18193151.02 16073708.79 16692287.18 15672529.45 12736083.57 15763728.21 15730105.77 15441087.32 13675041.19 12882446.44 10809670.89 13739556.11 11819767.35 6754401.34 8377375.75 8164377.04 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
Result Confidence
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: System V Message Passing EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 3M 6M 9M 12M 15M Min: 12436522.18 / Avg: 12740323.69 / Max: 13107752.74 Min: 9589426.86 / Avg: 10221764.78 / Max: 10670115.37 Min: 7034313.05 / Avg: 7202954.68 / Max: 7486487.21 Min: 17223160.56 / Avg: 17265800.06 / Max: 17305763.18 Min: 18175867.8 / Avg: 18193151.02 / Max: 18203437.54 Min: 15946178.31 / Avg: 16073708.79 / Max: 16226857.62 Min: 16641022.42 / Avg: 16692287.18 / Max: 16769456.69 Min: 15611649.68 / Avg: 15672529.45 / Max: 15719770.35 Min: 12401795.36 / Avg: 12736083.57 / Max: 13026448.11 Min: 15739230.05 / Avg: 15763728.21 / Max: 15793143.16 Min: 15674170.83 / Avg: 15730105.77 / Max: 15786071.05 Min: 15342013.8 / Avg: 15441087.32 / Max: 15572806.7 Min: 13605012.44 / Avg: 13675041.19 / Max: 13728648.43 Min: 12828493.76 / Avg: 12882446.44 / Max: 12927136.91 Min: 10514108.1 / Avg: 10809670.89 / Max: 11074363.58 Min: 13706010.75 / Avg: 13739556.11 / Max: 13765006.16 Min: 11764168.15 / Avg: 11819767.35 / Max: 11892656.58 Min: 6580428.23 / Avg: 6754401.34 / Max: 6969648.65 Min: 8238743.75 / Avg: 8377375.75 / Max: 8460568.05 Min: 8077208.27 / Avg: 8164377.04 / Max: 8293475.93 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
Kvazaar This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Slow EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 11 22 33 44 55 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.16, N = 3 SE +/- 0.07, N = 3 SE +/- 0.24, N = 3 SE +/- 0.07, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.11, N = 3 SE +/- 0.09, N = 3 SE +/- 0.09, N = 3 SE +/- 0.08, N = 3 SE +/- 0.07, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 34.03 22.67 47.41 49.80 44.54 43.98 31.27 29.54 29.99 29.97 29.74 29.73 27.59 28.57 27.54 21.08 19.57 18.66 18.53 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Slow EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 10 20 30 40 50 Min: 33.98 / Avg: 34.03 / Max: 34.08 Min: 22.59 / Avg: 22.67 / Max: 22.72 Min: 47.35 / Avg: 47.41 / Max: 47.45 Min: 49.51 / Avg: 49.8 / Max: 50.07 Min: 44.44 / Avg: 44.54 / Max: 44.67 Min: 43.56 / Avg: 43.98 / Max: 44.38 Min: 31.18 / Avg: 31.27 / Max: 31.41 Min: 29.47 / Avg: 29.54 / Max: 29.59 Min: 29.88 / Avg: 29.99 / Max: 30.06 Min: 29.8 / Avg: 29.97 / Max: 30.19 Min: 29.56 / Avg: 29.74 / Max: 29.85 Min: 29.56 / Avg: 29.73 / Max: 29.85 Min: 27.43 / Avg: 27.59 / Max: 27.68 Min: 28.43 / Avg: 28.57 / Max: 28.66 Min: 27.47 / Avg: 27.54 / Max: 27.66 Min: 21.06 / Avg: 21.08 / Max: 21.11 Min: 19.54 / Avg: 19.57 / Max: 19.6 Min: 18.61 / Avg: 18.66 / Max: 18.69 Min: 18.5 / Avg: 18.53 / Max: 18.57 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
Facebook RocksDB This is a benchmark of Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Op/s, More Is Better Facebook RocksDB 6.3.6 Test: Random Fill EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 150K 300K 450K 600K 750K SE +/- 9089.41, N = 3 SE +/- 6470.90, N = 15 SE +/- 827.11, N = 3 SE +/- 693.28, N = 3 SE +/- 624.03, N = 3 SE +/- 410.21, N = 3 SE +/- 205.06, N = 3 SE +/- 705.84, N = 3 SE +/- 2603.10, N = 10 SE +/- 1228.44, N = 3 SE +/- 310.98, N = 3 SE +/- 1199.71, N = 3 SE +/- 9550.05, N = 3 SE +/- 10655.38, N = 3 SE +/- 7847.93, N = 3 SE +/- 5123.67, N = 15 SE +/- 1413.92, N = 3 SE +/- 1554.64, N = 3 SE +/- 1807.12, N = 3 SE +/- 3588.14, N = 3 686461 580827 463786 289090 307654 275661 305816 367451 276010 345292 318064 321871 717525 654062 585939 627896 535050 425849 433814 422947 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
Result Confidence
OpenBenchmarking.org Op/s, More Is Better Facebook RocksDB 6.3.6 Test: Random Fill EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 120K 240K 360K 480K 600K Min: 674470 / Avg: 686460.67 / Max: 704289 Min: 542172 / Avg: 580827.13 / Max: 616282 Min: 462912 / Avg: 463785.67 / Max: 465439 Min: 287733 / Avg: 289089.67 / Max: 290016 Min: 306827 / Avg: 307654 / Max: 308877 Min: 274953 / Avg: 275661.33 / Max: 276374 Min: 305412 / Avg: 305816.33 / Max: 306078 Min: 366463 / Avg: 367450.67 / Max: 368818 Min: 269185 / Avg: 276009.6 / Max: 288606 Min: 343235 / Avg: 345292 / Max: 347484 Min: 317495 / Avg: 318064 / Max: 318566 Min: 320633 / Avg: 321871 / Max: 324270 Min: 705450 / Avg: 717525.33 / Max: 736379 Min: 632768 / Avg: 654062 / Max: 665441 Min: 576271 / Avg: 585938.67 / Max: 601481 Min: 603579 / Avg: 627896.27 / Max: 685131 Min: 532574 / Avg: 535050.33 / Max: 537471 Min: 423929 / Avg: 425849 / Max: 428927 Min: 431309 / Avg: 433814.33 / Max: 437323 Min: 418463 / Avg: 422946.67 / Max: 430041 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
Smallpt Smallpt is a C++ global illumination renderer written in less than 100 lines of code. Global illumination is done via unbiased Monte Carlo path tracing and there is multi-threading support via the OpenMP library. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Smallpt 1.0 Global Illumination Renderer; 128 Samples EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 5 10 15 20 25 SE +/- 0.078, N = 3 SE +/- 0.215, N = 3 SE +/- 0.028, N = 3 SE +/- 0.008, N = 3 SE +/- 0.018, N = 3 SE +/- 0.008, N = 3 SE +/- 0.038, N = 3 SE +/- 0.023, N = 3 SE +/- 0.423, N = 15 SE +/- 0.243, N = 12 SE +/- 0.010, N = 3 SE +/- 0.003, N = 3 SE +/- 0.033, N = 3 SE +/- 0.011, N = 3 SE +/- 0.225, N = 15 SE +/- 0.093, N = 3 SE +/- 0.080, N = 3 SE +/- 0.012, N = 3 SE +/- 0.062, N = 3 SE +/- 0.098, N = 3 14.781 17.374 18.899 7.859 11.090 13.241 12.138 12.672 14.081 12.391 12.631 12.750 13.439 13.752 14.751 13.495 15.471 20.129 19.044 18.871 1. (CXX) g++ options: -fopenmp -O3
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Smallpt 1.0 Global Illumination Renderer; 128 Samples EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 5 10 15 20 25 Min: 14.69 / Avg: 14.78 / Max: 14.94 Min: 16.95 / Avg: 17.37 / Max: 17.59 Min: 18.84 / Avg: 18.9 / Max: 18.93 Min: 7.85 / Avg: 7.86 / Max: 7.87 Min: 11.05 / Avg: 11.09 / Max: 11.12 Min: 13.23 / Avg: 13.24 / Max: 13.26 Min: 12.06 / Avg: 12.14 / Max: 12.18 Min: 12.64 / Avg: 12.67 / Max: 12.72 Min: 10.76 / Avg: 14.08 / Max: 14.97 Min: 9.72 / Avg: 12.39 / Max: 12.67 Min: 12.62 / Avg: 12.63 / Max: 12.65 Min: 12.74 / Avg: 12.75 / Max: 12.75 Min: 13.4 / Avg: 13.44 / Max: 13.5 Min: 13.74 / Avg: 13.75 / Max: 13.77 Min: 12.55 / Avg: 14.75 / Max: 15.22 Min: 13.39 / Avg: 13.5 / Max: 13.68 Min: 15.31 / Avg: 15.47 / Max: 15.56 Min: 20.11 / Avg: 20.13 / Max: 20.15 Min: 18.92 / Avg: 19.04 / Max: 19.11 Min: 18.73 / Avg: 18.87 / Max: 19.06 1. (CXX) g++ options: -fopenmp -O3
Kvazaar This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Very Fast EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 20 40 60 80 100 SE +/- 0.27, N = 3 SE +/- 0.09, N = 3 SE +/- 0.41, N = 3 SE +/- 0.34, N = 3 SE +/- 0.12, N = 3 SE +/- 0.21, N = 3 SE +/- 0.33, N = 3 SE +/- 0.19, N = 3 SE +/- 0.21, N = 3 SE +/- 0.09, N = 3 SE +/- 0.20, N = 3 SE +/- 0.05, N = 3 SE +/- 0.16, N = 3 SE +/- 0.21, N = 3 SE +/- 0.17, N = 3 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 SE +/- 0.01, N = 3 SE +/- 0.10, N = 3 67.24 52.60 107.99 109.17 98.47 96.32 66.17 61.32 62.57 62.73 61.50 65.37 60.11 62.00 61.84 46.93 44.95 43.46 43.20 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Very Fast EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 20 40 60 80 100 Min: 66.7 / Avg: 67.24 / Max: 67.55 Min: 52.46 / Avg: 52.6 / Max: 52.77 Min: 107.18 / Avg: 107.99 / Max: 108.5 Min: 108.49 / Avg: 109.17 / Max: 109.57 Min: 98.24 / Avg: 98.47 / Max: 98.62 Min: 96.05 / Avg: 96.32 / Max: 96.73 Min: 65.63 / Avg: 66.17 / Max: 66.76 Min: 60.96 / Avg: 61.32 / Max: 61.6 Min: 62.36 / Avg: 62.57 / Max: 62.98 Min: 62.6 / Avg: 62.73 / Max: 62.91 Min: 61.15 / Avg: 61.5 / Max: 61.83 Min: 65.28 / Avg: 65.37 / Max: 65.44 Min: 59.79 / Avg: 60.11 / Max: 60.31 Min: 61.62 / Avg: 62 / Max: 62.36 Min: 61.65 / Avg: 61.84 / Max: 62.19 Min: 46.83 / Avg: 46.93 / Max: 46.99 Min: 44.86 / Avg: 44.95 / Max: 45.09 Min: 43.44 / Avg: 43.46 / Max: 43.48 Min: 43.05 / Avg: 43.2 / Max: 43.38 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
x264 This is a simple test of the x264 encoder run on the CPU (OpenCL support disabled) with a sample video file. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better x264 2019-12-17 H.264 Video Encoding EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 40 80 120 160 200 SE +/- 1.33, N = 3 SE +/- 2.17, N = 3 SE +/- 0.70, N = 3 SE +/- 2.22, N = 3 SE +/- 1.79, N = 3 SE +/- 2.06, N = 3 SE +/- 1.03, N = 3 SE +/- 2.67, N = 3 SE +/- 1.38, N = 3 SE +/- 1.50, N = 3 SE +/- 2.18, N = 3 SE +/- 1.97, N = 3 SE +/- 2.39, N = 3 SE +/- 0.99, N = 3 SE +/- 1.17, N = 3 SE +/- 1.76, N = 3 SE +/- 1.66, N = 3 SE +/- 1.00, N = 3 SE +/- 0.38, N = 3 SE +/- 0.41, N = 3 177.12 158.53 89.29 140.35 141.18 148.99 144.71 159.20 144.57 145.72 144.44 143.59 150.81 137.58 126.75 118.48 105.52 77.48 71.66 71.60 1. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -ffast-math -std=gnu99 -fPIC -fomit-frame-pointer -fno-tree-vectorize
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better x264 2019-12-17 H.264 Video Encoding EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 30 60 90 120 150 Min: 174.45 / Avg: 177.12 / Max: 178.56 Min: 154.64 / Avg: 158.53 / Max: 162.16 Min: 88.14 / Avg: 89.29 / Max: 90.57 Min: 135.93 / Avg: 140.35 / Max: 143 Min: 137.66 / Avg: 141.18 / Max: 143.49 Min: 145.83 / Avg: 148.99 / Max: 152.86 Min: 142.68 / Avg: 144.71 / Max: 145.98 Min: 153.88 / Avg: 159.2 / Max: 162.17 Min: 141.86 / Avg: 144.57 / Max: 146.42 Min: 142.97 / Avg: 145.72 / Max: 148.13 Min: 140.1 / Avg: 144.44 / Max: 146.97 Min: 140.36 / Avg: 143.59 / Max: 147.17 Min: 146.07 / Avg: 150.81 / Max: 153.76 Min: 135.61 / Avg: 137.58 / Max: 138.59 Min: 124.48 / Avg: 126.75 / Max: 128.36 Min: 114.97 / Avg: 118.48 / Max: 120.28 Min: 102.21 / Avg: 105.52 / Max: 107.38 Min: 75.5 / Avg: 77.48 / Max: 78.71 Min: 70.9 / Avg: 71.66 / Max: 72.05 Min: 70.79 / Avg: 71.6 / Max: 72.07 1. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -ffast-math -std=gnu99 -fPIC -fomit-frame-pointer -fno-tree-vectorize
Kvazaar This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Ultra Fast EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 40 80 120 160 200 SE +/- 0.51, N = 3 SE +/- 0.59, N = 3 SE +/- 1.40, N = 3 SE +/- 1.31, N = 3 SE +/- 0.42, N = 3 SE +/- 1.18, N = 3 SE +/- 0.28, N = 3 SE +/- 0.40, N = 3 SE +/- 0.17, N = 3 SE +/- 0.21, N = 3 SE +/- 0.04, N = 3 SE +/- 0.17, N = 3 SE +/- 0.21, N = 3 SE +/- 0.22, N = 3 SE +/- 0.51, N = 3 SE +/- 0.33, N = 3 SE +/- 0.15, N = 3 SE +/- 0.36, N = 3 SE +/- 0.19, N = 3 104.22 93.41 189.55 191.27 171.94 170.06 124.64 113.40 118.75 118.13 115.55 117.43 109.29 105.75 107.66 86.94 79.82 78.65 77.76 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Ultra Fast EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 40 80 120 160 200 Min: 103.22 / Avg: 104.22 / Max: 104.87 Min: 92.24 / Avg: 93.41 / Max: 94.08 Min: 187.98 / Avg: 189.55 / Max: 192.35 Min: 189.77 / Avg: 191.27 / Max: 193.89 Min: 171.12 / Avg: 171.94 / Max: 172.47 Min: 167.84 / Avg: 170.06 / Max: 171.84 Min: 124.22 / Avg: 124.64 / Max: 125.16 Min: 112.95 / Avg: 113.4 / Max: 114.21 Min: 118.41 / Avg: 118.75 / Max: 118.92 Min: 117.77 / Avg: 118.13 / Max: 118.5 Min: 115.5 / Avg: 115.55 / Max: 115.63 Min: 117.12 / Avg: 117.43 / Max: 117.72 Min: 108.92 / Avg: 109.29 / Max: 109.66 Min: 105.49 / Avg: 105.75 / Max: 106.19 Min: 106.77 / Avg: 107.66 / Max: 108.55 Min: 86.56 / Avg: 86.94 / Max: 87.6 Min: 79.53 / Avg: 79.82 / Max: 80.04 Min: 78.25 / Avg: 78.65 / Max: 79.37 Min: 77.38 / Avg: 77.76 / Max: 77.98 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
Stress-NG Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: MEMFD EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 200 400 600 800 1000 SE +/- 0.34, N = 3 SE +/- 0.53, N = 3 SE +/- 0.38, N = 3 SE +/- 0.42, N = 3 SE +/- 1.72, N = 3 SE +/- 0.40, N = 3 SE +/- 0.94, N = 3 SE +/- 0.23, N = 3 SE +/- 1.30, N = 3 SE +/- 0.10, N = 3 SE +/- 0.51, N = 3 SE +/- 0.56, N = 3 SE +/- 0.30, N = 3 SE +/- 0.04, N = 3 SE +/- 0.52, N = 3 SE +/- 1.22, N = 3 SE +/- 0.96, N = 3 SE +/- 0.17, N = 3 SE +/- 1.03, N = 3 SE +/- 0.74, N = 3 746.29 644.30 435.36 983.70 986.80 858.84 872.77 836.01 792.81 840.30 833.75 823.81 739.98 707.49 649.31 695.56 600.90 402.93 442.25 442.13 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
Result Confidence
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: MEMFD EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 200 400 600 800 1000 Min: 745.85 / Avg: 746.29 / Max: 746.96 Min: 643.63 / Avg: 644.3 / Max: 645.36 Min: 434.92 / Avg: 435.36 / Max: 436.11 Min: 983.26 / Avg: 983.7 / Max: 984.54 Min: 983.37 / Avg: 986.8 / Max: 988.57 Min: 858.1 / Avg: 858.84 / Max: 859.49 Min: 870.9 / Avg: 872.77 / Max: 873.71 Min: 835.58 / Avg: 836.01 / Max: 836.35 Min: 790.21 / Avg: 792.81 / Max: 794.15 Min: 840.11 / Avg: 840.3 / Max: 840.42 Min: 832.87 / Avg: 833.75 / Max: 834.62 Min: 823.23 / Avg: 823.81 / Max: 824.93 Min: 739.39 / Avg: 739.98 / Max: 740.39 Min: 707.4 / Avg: 707.49 / Max: 707.54 Min: 648.31 / Avg: 649.31 / Max: 650.07 Min: 693.24 / Avg: 695.56 / Max: 697.37 Min: 599.4 / Avg: 600.9 / Max: 602.68 Min: 402.6 / Avg: 402.93 / Max: 403.13 Min: 440.2 / Avg: 442.25 / Max: 443.38 Min: 441.37 / Avg: 442.13 / Max: 443.6 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
ASKAP This is a CUDA benchmark of ATNF's ASKAP Benchmark with currently using the tConvolveCuda sub-test. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 2018-11-10 Test: tConvolve OpenMP - Degridding EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 1200 2400 3600 4800 6000 SE +/- 27.80, N = 3 SE +/- 0.00, N = 3 SE +/- 25.93, N = 15 SE +/- 71.03, N = 3 SE +/- 95.65, N = 3 SE +/- 50.20, N = 2 SE +/- 17.18, N = 15 SE +/- 11.78, N = 15 SE +/- 56.08, N = 15 SE +/- 9.17, N = 15 SE +/- 24.25, N = 3 SE +/- 6.40, N = 15 SE +/- 0.00, N = 3 SE +/- 22.72, N = 3 SE +/- 34.25, N = 3 SE +/- 7.84, N = 15 SE +/- 24.67, N = 3 SE +/- 21.26, N = 15 SE +/- 21.10, N = 15 SE +/- 15.38, N = 15 4726.77 4754.57 2552.56 5291.74 5400.50 5170.51 4853.63 4394.11 4815.11 4413.35 4389.10 4355.46 4294.45 4249.01 3974.56 2859.17 2735.95 2350.73 2287.55 2210.52 1. (CXX) g++ options: -lpthread
Result Confidence
OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 2018-11-10 Test: tConvolve OpenMP - Degridding EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 900 1800 2700 3600 4500 Min: 4671.16 / Avg: 4726.77 / Max: 4754.57 Min: 4754.57 / Avg: 4754.57 / Max: 4754.57 Min: 2315.27 / Avg: 2552.56 / Max: 2689.45 Min: 5220.71 / Avg: 5291.74 / Max: 5433.8 Min: 5220.71 / Avg: 5400.5 / Max: 5547 Min: 5120.31 / Avg: 5170.51 / Max: 5220.71 Min: 4754.57 / Avg: 4853.63 / Max: 5023.7 Min: 4294.45 / Avg: 4394.11 / Max: 4437.6 Min: 4512.81 / Avg: 4815.11 / Max: 5220.71 Min: 4364.85 / Avg: 4413.35 / Max: 4437.6 Min: 4364.85 / Avg: 4389.1 / Max: 4437.6 Min: 4294.45 / Avg: 4355.46 / Max: 4364.85 Min: 4294.45 / Avg: 4294.45 / Max: 4294.45 Min: 4226.29 / Avg: 4249.01 / Max: 4294.45 Min: 3915.53 / Avg: 3974.56 / Max: 4034.18 Min: 2802.69 / Avg: 2859.17 / Max: 2894.09 Min: 2689.45 / Avg: 2735.95 / Max: 2773.5 Min: 2130.05 / Avg: 2350.73 / Max: 2511.85 Min: 2182.43 / Avg: 2287.55 / Max: 2377.29 Min: 2080.12 / Avg: 2210.52 / Max: 2256.41 1. (CXX) g++ options: -lpthread
Darktable Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Darktable 3.2.1 Test: Masskrug - Acceleration: CPU-only EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 1.3392 2.6784 4.0176 5.3568 6.696 SE +/- 0.014, N = 3 SE +/- 0.008, N = 3 SE +/- 0.015, N = 3 SE +/- 0.032, N = 3 SE +/- 0.042, N = 4 SE +/- 0.043, N = 3 SE +/- 0.041, N = 15 SE +/- 0.020, N = 3 SE +/- 0.013, N = 3 SE +/- 0.015, N = 3 SE +/- 0.005, N = 3 SE +/- 0.023, N = 3 SE +/- 0.005, N = 3 SE +/- 0.018, N = 3 SE +/- 0.006, N = 3 SE +/- 0.006, N = 3 SE +/- 0.010, N = 3 SE +/- 0.015, N = 3 SE +/- 0.032, N = 3 SE +/- 0.017, N = 3 2.612 2.907 4.820 3.190 3.216 2.891 2.805 2.438 2.607 2.503 2.486 2.554 2.699 2.981 3.292 3.540 4.428 5.326 5.952 5.917
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Darktable 3.2.1 Test: Masskrug - Acceleration: CPU-only EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 2 4 6 8 10 Min: 2.59 / Avg: 2.61 / Max: 2.63 Min: 2.89 / Avg: 2.91 / Max: 2.92 Min: 4.8 / Avg: 4.82 / Max: 4.85 Min: 3.13 / Avg: 3.19 / Max: 3.24 Min: 3.11 / Avg: 3.22 / Max: 3.31 Min: 2.82 / Avg: 2.89 / Max: 2.97 Min: 2.39 / Avg: 2.8 / Max: 2.98 Min: 2.4 / Avg: 2.44 / Max: 2.47 Min: 2.58 / Avg: 2.61 / Max: 2.63 Min: 2.47 / Avg: 2.5 / Max: 2.52 Min: 2.48 / Avg: 2.49 / Max: 2.5 Min: 2.52 / Avg: 2.55 / Max: 2.6 Min: 2.69 / Avg: 2.7 / Max: 2.71 Min: 2.95 / Avg: 2.98 / Max: 3.01 Min: 3.28 / Avg: 3.29 / Max: 3.3 Min: 3.53 / Avg: 3.54 / Max: 3.55 Min: 4.42 / Avg: 4.43 / Max: 4.45 Min: 5.3 / Avg: 5.33 / Max: 5.35 Min: 5.9 / Avg: 5.95 / Max: 6.01 Min: 5.88 / Avg: 5.92 / Max: 5.94
PostgreSQL pgbench This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 250 - Mode: Read Write EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 8K 16K 24K 32K 40K SE +/- 13.41, N = 3 SE +/- 120.60, N = 3 SE +/- 41.67, N = 3 SE +/- 92.56, N = 3 SE +/- 52.77, N = 3 SE +/- 343.06, N = 3 SE +/- 75.81, N = 3 SE +/- 187.07, N = 3 SE +/- 9.77, N = 3 SE +/- 119.40, N = 3 SE +/- 45.88, N = 3 SE +/- 257.54, N = 3 SE +/- 54.68, N = 3 SE +/- 40.52, N = 3 SE +/- 133.31, N = 3 SE +/- 98.09, N = 3 SE +/- 17.13, N = 3 SE +/- 68.03, N = 3 SE +/- 24.14, N = 3 SE +/- 70.19, N = 3 34826 23954 17707 36550 34785 35249 36572 38540 32539 36999 36967 33447 33686 32751 24697 29493 22972 16021 16485 15804 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result Confidence
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 250 - Mode: Read Write EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 7K 14K 21K 28K 35K Min: 34805.18 / Avg: 34825.59 / Max: 34850.86 Min: 23803.1 / Avg: 23954.31 / Max: 24192.65 Min: 17626.81 / Avg: 17707.46 / Max: 17765.95 Min: 36387.68 / Avg: 36550.04 / Max: 36708.24 Min: 34688.51 / Avg: 34784.98 / Max: 34870.28 Min: 34574.19 / Avg: 35248.66 / Max: 35694.91 Min: 36488.4 / Avg: 36572 / Max: 36723.35 Min: 38166.46 / Avg: 38540.36 / Max: 38739.15 Min: 32528.13 / Avg: 32539.44 / Max: 32558.9 Min: 36803.87 / Avg: 36998.77 / Max: 37215.73 Min: 36896.39 / Avg: 36967.35 / Max: 37053.21 Min: 32935.76 / Avg: 33446.85 / Max: 33757.82 Min: 33587.24 / Avg: 33686.48 / Max: 33775.91 Min: 32695.26 / Avg: 32751.07 / Max: 32829.86 Min: 24473.27 / Avg: 24696.63 / Max: 24934.4 Min: 29298.25 / Avg: 29493.13 / Max: 29610.16 Min: 22941.92 / Avg: 22971.81 / Max: 23001.27 Min: 15905.97 / Avg: 16020.62 / Max: 16141.4 Min: 16444.32 / Avg: 16485.32 / Max: 16527.91 Min: 15702.99 / Avg: 15804.25 / Max: 15939.08 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average Latency EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 4 8 12 16 20 SE +/- 0.003, N = 3 SE +/- 0.052, N = 3 SE +/- 0.034, N = 3 SE +/- 0.020, N = 3 SE +/- 0.011, N = 3 SE +/- 0.069, N = 3 SE +/- 0.014, N = 3 SE +/- 0.032, N = 3 SE +/- 0.003, N = 3 SE +/- 0.021, N = 3 SE +/- 0.009, N = 3 SE +/- 0.058, N = 3 SE +/- 0.012, N = 3 SE +/- 0.010, N = 3 SE +/- 0.055, N = 3 SE +/- 0.028, N = 3 SE +/- 0.008, N = 3 SE +/- 0.066, N = 3 SE +/- 0.022, N = 3 SE +/- 0.070, N = 3 7.187 10.444 14.125 6.865 7.209 7.109 6.851 6.497 7.695 6.767 6.772 7.488 7.430 7.643 10.131 8.484 10.892 15.614 15.173 15.827 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average Latency EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 4 8 12 16 20 Min: 7.18 / Avg: 7.19 / Max: 7.19 Min: 10.34 / Avg: 10.44 / Max: 10.51 Min: 14.08 / Avg: 14.13 / Max: 14.19 Min: 6.83 / Avg: 6.86 / Max: 6.9 Min: 7.19 / Avg: 7.21 / Max: 7.23 Min: 7.02 / Avg: 7.11 / Max: 7.25 Min: 6.82 / Avg: 6.85 / Max: 6.87 Min: 6.46 / Avg: 6.5 / Max: 6.56 Min: 7.69 / Avg: 7.7 / Max: 7.7 Min: 6.73 / Avg: 6.77 / Max: 6.8 Min: 6.76 / Avg: 6.77 / Max: 6.79 Min: 7.42 / Avg: 7.49 / Max: 7.6 Min: 7.41 / Avg: 7.43 / Max: 7.45 Min: 7.62 / Avg: 7.64 / Max: 7.66 Min: 10.03 / Avg: 10.13 / Max: 10.22 Min: 8.45 / Avg: 8.48 / Max: 8.54 Min: 10.88 / Avg: 10.89 / Max: 10.91 Min: 15.5 / Avg: 15.61 / Max: 15.73 Min: 15.13 / Avg: 15.17 / Max: 15.21 Min: 15.69 / Avg: 15.83 / Max: 15.93 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
ASKAP This is a CUDA benchmark of ATNF's ASKAP Benchmark with currently using the tConvolveCuda sub-test. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 2018-11-10 Test: tConvolve MT - Degridding EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 1300 2600 3900 5200 6500 SE +/- 31.25, N = 3 SE +/- 2.32, N = 3 SE +/- 30.75, N = 3 SE +/- 22.10, N = 3 SE +/- 5.26, N = 3 SE +/- 12.21, N = 3 SE +/- 7.17, N = 3 SE +/- 2.64, N = 3 SE +/- 117.70, N = 3 SE +/- 2.65, N = 3 SE +/- 7.19, N = 3 SE +/- 6.91, N = 3 SE +/- 13.87, N = 3 SE +/- 142.43, N = 4 SE +/- 166.01, N = 3 SE +/- 15.72, N = 3 SE +/- 70.26, N = 3 SE +/- 147.42, N = 3 SE +/- 76.22, N = 3 SE +/- 3.23, N = 3 5739.99 5445.37 2868.76 5610.49 5793.43 5876.05 5616.08 5052.50 5859.29 5055.50 5045.53 5047.53 5113.55 4910.75 4506.35 2830.80 2754.89 2630.66 2412.70 2442.73 1. (CXX) g++ options: -lpthread
Result Confidence
OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 2018-11-10 Test: tConvolve MT - Degridding EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 1000 2000 3000 4000 5000 Min: 5685.18 / Avg: 5739.99 / Max: 5793.42 Min: 5440.74 / Avg: 5445.37 / Max: 5447.69 Min: 2832.51 / Avg: 2868.76 / Max: 2929.91 Min: 5566.93 / Avg: 5610.49 / Max: 5638.78 Min: 5788.17 / Avg: 5793.43 / Max: 5803.95 Min: 5862.52 / Avg: 5876.05 / Max: 5900.41 Min: 5602.93 / Avg: 5616.08 / Max: 5627.6 Min: 5047.51 / Avg: 5052.5 / Max: 5056.49 Min: 5623.89 / Avg: 5859.29 / Max: 5979.08 Min: 5050.5 / Avg: 5055.5 / Max: 5059.5 Min: 5035.57 / Avg: 5045.53 / Max: 5059.5 Min: 5035.57 / Avg: 5047.53 / Max: 5059.5 Min: 5095.81 / Avg: 5113.55 / Max: 5140.9 Min: 4484.31 / Avg: 4910.75 / Max: 5067.52 Min: 4184.77 / Avg: 4506.35 / Max: 4738.71 Min: 2808.24 / Avg: 2830.8 / Max: 2861.04 Min: 2614.63 / Avg: 2754.89 / Max: 2832.51 Min: 2351.05 / Avg: 2630.66 / Max: 2851.47 Min: 2261.2 / Avg: 2412.7 / Max: 2502.99 Min: 2437.13 / Avg: 2442.73 / Max: 2448.33 1. (CXX) g++ options: -lpthread
Rodinia Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP Streamcluster EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 5 10 15 20 25 SE +/- 0.111, N = 3 SE +/- 0.009, N = 3 SE +/- 0.226, N = 15 SE +/- 0.272, N = 15 SE +/- 0.023, N = 3 SE +/- 0.011, N = 3 SE +/- 0.119, N = 15 SE +/- 0.052, N = 3 SE +/- 0.012, N = 3 SE +/- 0.012, N = 3 SE +/- 0.056, N = 3 SE +/- 0.026, N = 3 SE +/- 0.017, N = 3 SE +/- 0.266, N = 15 SE +/- 0.035, N = 3 SE +/- 0.173, N = 15 SE +/- 0.329, N = 3 SE +/- 0.057, N = 3 SE +/- 0.135, N = 3 SE +/- 0.038, N = 3 14.571 14.211 21.323 12.012 8.985 9.245 12.806 14.658 10.974 14.680 14.693 14.798 15.179 19.380 16.977 18.764 20.041 19.211 18.435 15.589 1. (CXX) g++ options: -O2 -lOpenCL
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP Streamcluster EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 5 10 15 20 25 Min: 14.41 / Avg: 14.57 / Max: 14.78 Min: 14.2 / Avg: 14.21 / Max: 14.23 Min: 19.39 / Avg: 21.32 / Max: 22.56 Min: 10.44 / Avg: 12.01 / Max: 13.11 Min: 8.94 / Avg: 8.98 / Max: 9.01 Min: 9.23 / Avg: 9.25 / Max: 9.27 Min: 12.04 / Avg: 12.81 / Max: 13.6 Min: 14.57 / Avg: 14.66 / Max: 14.75 Min: 10.95 / Avg: 10.97 / Max: 10.99 Min: 14.66 / Avg: 14.68 / Max: 14.7 Min: 14.61 / Avg: 14.69 / Max: 14.8 Min: 14.76 / Avg: 14.8 / Max: 14.85 Min: 15.15 / Avg: 15.18 / Max: 15.21 Min: 18.7 / Avg: 19.38 / Max: 22.24 Min: 16.93 / Avg: 16.98 / Max: 17.05 Min: 18.11 / Avg: 18.76 / Max: 19.48 Min: 19.54 / Avg: 20.04 / Max: 20.66 Min: 19.14 / Avg: 19.21 / Max: 19.33 Min: 18.26 / Avg: 18.44 / Max: 18.7 Min: 15.51 / Avg: 15.59 / Max: 15.64 1. (CXX) g++ options: -O2 -lOpenCL
SciMark This test runs the ANSI C version of SciMark 2.0, which is a benchmark for scientific and numerical computing developed by programmers at the National Institute of Standards and Technology. This test is made up of Fast Foruier Transform, Jacobi Successive Over-relaxation, Monte Carlo, Sparse Matrix Multiply, and dense LU matrix factorization benchmarks. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Mflops, More Is Better SciMark 2.0 Computational Test: Fast Fourier Transform EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 60 120 180 240 300 SE +/- 0.92, N = 3 SE +/- 0.51, N = 3 SE +/- 1.11, N = 3 SE +/- 0.38, N = 3 SE +/- 0.45, N = 3 SE +/- 0.62, N = 3 SE +/- 2.07, N = 3 SE +/- 0.95, N = 3 SE +/- 0.34, N = 3 SE +/- 0.63, N = 3 SE +/- 0.62, N = 3 SE +/- 1.02, N = 3 SE +/- 1.03, N = 3 SE +/- 0.93, N = 3 SE +/- 0.30, N = 3 SE +/- 2.12, N = 3 SE +/- 3.20, N = 3 SE +/- 0.26, N = 3 SE +/- 1.26, N = 3 SE +/- 0.29, N = 3 287.93 289.84 281.48 269.74 266.92 267.49 263.36 267.59 125.68 273.56 258.33 263.27 263.94 256.78 265.82 245.55 225.57 271.93 255.55 197.39 1. (CC) gcc options: -lm
Result Confidence
OpenBenchmarking.org Mflops, More Is Better SciMark 2.0 Computational Test: Fast Fourier Transform EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 50 100 150 200 250 Min: 287 / Avg: 287.93 / Max: 289.76 Min: 289.05 / Avg: 289.84 / Max: 290.78 Min: 280 / Avg: 281.48 / Max: 283.66 Min: 268.99 / Avg: 269.74 / Max: 270.17 Min: 266.17 / Avg: 266.92 / Max: 267.72 Min: 266.28 / Avg: 267.49 / Max: 268.29 Min: 259.32 / Avg: 263.36 / Max: 266.17 Min: 265.75 / Avg: 267.59 / Max: 268.88 Min: 125.2 / Avg: 125.68 / Max: 126.33 Min: 272.31 / Avg: 273.56 / Max: 274.3 Min: 257.32 / Avg: 258.33 / Max: 259.45 Min: 261.23 / Avg: 263.27 / Max: 264.46 Min: 261.91 / Avg: 263.94 / Max: 265.28 Min: 255.43 / Avg: 256.78 / Max: 258.56 Min: 265.45 / Avg: 265.82 / Max: 266.42 Min: 243.33 / Avg: 245.55 / Max: 249.8 Min: 220.35 / Avg: 225.57 / Max: 231.38 Min: 271.61 / Avg: 271.93 / Max: 272.45 Min: 254.12 / Avg: 255.55 / Max: 258.06 Min: 196.97 / Avg: 197.39 / Max: 197.94 1. (CC) gcc options: -lm
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: googlenet EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 10 20 30 40 50 SE +/- 0.07, N = 3 SE +/- 0.18, N = 10 SE +/- 0.30, N = 3 SE +/- 0.62, N = 3 SE +/- 0.84, N = 3 SE +/- 0.40, N = 3 SE +/- 0.37, N = 3 SE +/- 0.23, N = 8 SE +/- 0.93, N = 3 SE +/- 0.29, N = 3 SE +/- 0.84, N = 12 SE +/- 0.32, N = 3 SE +/- 0.03, N = 3 SE +/- 0.32, N = 15 SE +/- 0.25, N = 3 SE +/- 0.14, N = 3 SE +/- 0.21, N = 3 SE +/- 0.35, N = 3 SE +/- 0.15, N = 15 SE +/- 0.19, N = 4 21.73 20.04 20.29 44.29 31.74 27.78 25.88 22.30 24.85 22.04 24.30 22.38 20.50 26.52 22.01 19.24 21.86 22.35 22.73 23.35 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: googlenet EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 9 18 27 36 45 Min: 21.64 / Avg: 21.73 / Max: 21.86 Min: 18.68 / Avg: 20.04 / Max: 20.7 Min: 19.96 / Avg: 20.29 / Max: 20.89 Min: 43.47 / Avg: 44.29 / Max: 45.5 Min: 30.65 / Avg: 31.74 / Max: 33.39 Min: 27.05 / Avg: 27.78 / Max: 28.44 Min: 25.16 / Avg: 25.88 / Max: 26.41 Min: 21.14 / Avg: 22.3 / Max: 23.26 Min: 23.42 / Avg: 24.85 / Max: 26.6 Min: 21.47 / Avg: 22.04 / Max: 22.39 Min: 21.5 / Avg: 24.3 / Max: 29.46 Min: 22.05 / Avg: 22.38 / Max: 23.01 Min: 20.47 / Avg: 20.5 / Max: 20.55 Min: 24.47 / Avg: 26.52 / Max: 28.49 Min: 21.51 / Avg: 22.01 / Max: 22.31 Min: 19.1 / Avg: 19.24 / Max: 19.52 Min: 21.52 / Avg: 21.86 / Max: 22.24 Min: 21.78 / Avg: 22.35 / Max: 23 Min: 21.95 / Avg: 22.73 / Max: 23.78 Min: 22.8 / Avg: 23.35 / Max: 23.65 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Kvazaar This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Ultra Fast EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 11 22 33 44 55 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.10, N = 3 SE +/- 0.16, N = 3 SE +/- 0.12, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 SE +/- 0.06, N = 3 SE +/- 0.11, N = 3 SE +/- 0.08, N = 3 SE +/- 0.10, N = 3 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.10, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 38.66 25.63 48.34 48.99 46.23 46.27 45.97 40.73 42.87 42.56 41.60 33.75 31.17 35.22 34.46 28.30 22.38 21.75 21.55 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Ultra Fast EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 10 20 30 40 50 Min: 38.6 / Avg: 38.66 / Max: 38.77 Min: 25.59 / Avg: 25.63 / Max: 25.68 Min: 48.14 / Avg: 48.34 / Max: 48.48 Min: 48.71 / Avg: 48.99 / Max: 49.27 Min: 45.98 / Avg: 46.23 / Max: 46.37 Min: 46.19 / Avg: 46.27 / Max: 46.35 Min: 45.92 / Avg: 45.97 / Max: 46.07 Min: 40.64 / Avg: 40.73 / Max: 40.82 Min: 42.73 / Avg: 42.87 / Max: 42.94 Min: 42.44 / Avg: 42.56 / Max: 42.66 Min: 41.4 / Avg: 41.6 / Max: 41.77 Min: 33.59 / Avg: 33.75 / Max: 33.87 Min: 30.99 / Avg: 31.17 / Max: 31.33 Min: 35.08 / Avg: 35.22 / Max: 35.32 Min: 34.38 / Avg: 34.46 / Max: 34.56 Min: 28.15 / Avg: 28.3 / Max: 28.48 Min: 22.34 / Avg: 22.38 / Max: 22.41 Min: 21.71 / Avg: 21.75 / Max: 21.78 Min: 21.55 / Avg: 21.55 / Max: 21.56 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
ASKAP This is a CUDA benchmark of ATNF's ASKAP Benchmark with currently using the tConvolveCuda sub-test. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 2018-11-10 Test: tConvolve MPI - Gridding EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 1100 2200 3300 4400 5500 SE +/- 0.00, N = 3 SE +/- 12.56, N = 3 SE +/- 37.28, N = 15 SE +/- 15.31, N = 3 SE +/- 5.99, N = 3 SE +/- 3.26, N = 3 SE +/- 0.85, N = 3 SE +/- 2.17, N = 3 SE +/- 28.28, N = 3 SE +/- 0.54, N = 3 SE +/- 1.96, N = 3 SE +/- 0.54, N = 3 SE +/- 7.59, N = 3 SE +/- 28.11, N = 15 SE +/- 38.78, N = 3 SE +/- 3.21, N = 3 SE +/- 30.67, N = 15 SE +/- 67.60, N = 15 SE +/- 11.13, N = 3 SE +/- 31.33, N = 5 4465.51 5134.77 3174.57 4420.44 4522.41 4533.09 4345.56 3724.95 4424.90 3724.95 3726.03 3722.77 3845.65 3504.37 4014.66 2431.57 2265.27 3091.42 2330.58 2379.01 1. (CXX) g++ options: -lpthread
Result Confidence
OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 2018-11-10 Test: tConvolve MPI - Gridding EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 900 1800 2700 3600 4500 Min: 4465.51 / Avg: 4465.51 / Max: 4465.51 Min: 5114.16 / Avg: 5134.77 / Max: 5157.5 Min: 2821.26 / Avg: 3174.57 / Max: 3365 Min: 4399.79 / Avg: 4420.44 / Max: 4450.35 Min: 4510.42 / Avg: 4522.41 / Max: 4528.4 Min: 4527.2 / Avg: 4533.09 / Max: 4538.45 Min: 4344.08 / Avg: 4345.56 / Max: 4347.04 Min: 3720.61 / Avg: 3724.95 / Max: 3727.12 Min: 4385.07 / Avg: 4424.9 / Max: 4479.6 Min: 3723.86 / Avg: 3724.95 / Max: 3725.49 Min: 3722.23 / Avg: 3726.03 / Max: 3728.75 Min: 3722.23 / Avg: 3722.77 / Max: 3723.86 Min: 3831.02 / Avg: 3845.65 / Max: 3856.45 Min: 3304.11 / Avg: 3504.37 / Max: 3672.5 Min: 3937.24 / Avg: 4014.66 / Max: 4057.23 Min: 2426.02 / Avg: 2431.57 / Max: 2437.13 Min: 2038.97 / Avg: 2265.27 / Max: 2480.65 Min: 2488.37 / Avg: 3091.42 / Max: 3413.54 Min: 2312.76 / Avg: 2330.58 / Max: 2351.05 Min: 2254.02 / Avg: 2379.01 / Max: 2415.02 1. (CXX) g++ options: -lpthread
Kvazaar This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Very Fast EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 6 12 18 24 30 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 23.38 14.74 27.03 27.55 27.11 26.65 27.20 24.54 25.35 25.35 24.63 19.93 18.33 19.83 18.87 16.21 12.91 12.35 12.25 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Very Fast EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 6 12 18 24 30 Min: 23.33 / Avg: 23.38 / Max: 23.44 Min: 14.69 / Avg: 14.74 / Max: 14.77 Min: 26.99 / Avg: 27.03 / Max: 27.07 Min: 27.51 / Avg: 27.55 / Max: 27.59 Min: 27.05 / Avg: 27.11 / Max: 27.2 Min: 26.64 / Avg: 26.65 / Max: 26.67 Min: 27.03 / Avg: 27.2 / Max: 27.32 Min: 24.5 / Avg: 24.54 / Max: 24.59 Min: 25.28 / Avg: 25.35 / Max: 25.39 Min: 25.25 / Avg: 25.35 / Max: 25.42 Min: 24.61 / Avg: 24.63 / Max: 24.66 Min: 19.9 / Avg: 19.93 / Max: 19.97 Min: 18.3 / Avg: 18.33 / Max: 18.36 Min: 19.77 / Avg: 19.83 / Max: 19.86 Min: 18.83 / Avg: 18.87 / Max: 18.89 Min: 16.17 / Avg: 16.21 / Max: 16.27 Min: 12.89 / Avg: 12.91 / Max: 12.95 Min: 12.33 / Avg: 12.35 / Max: 12.39 Min: 12.22 / Avg: 12.25 / Max: 12.28 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: resnet50 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 12 24 36 48 60 SE +/- 0.13, N = 3 SE +/- 0.52, N = 10 SE +/- 0.13, N = 3 SE +/- 1.80, N = 3 SE +/- 0.12, N = 3 SE +/- 0.81, N = 3 SE +/- 0.29, N = 3 SE +/- 0.10, N = 8 SE +/- 0.28, N = 3 SE +/- 0.55, N = 3 SE +/- 0.95, N = 12 SE +/- 0.53, N = 3 SE +/- 0.26, N = 3 SE +/- 0.17, N = 15 SE +/- 0.09, N = 3 SE +/- 0.08, N = 3 SE +/- 0.09, N = 3 SE +/- 0.29, N = 3 SE +/- 0.16, N = 15 SE +/- 0.31, N = 4 25.70 25.74 27.85 52.99 37.02 34.32 31.33 24.57 28.82 25.36 27.71 26.10 23.60 29.84 25.88 24.85 32.87 31.33 33.75 34.16 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: resnet50 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 11 22 33 44 55 Min: 25.5 / Avg: 25.7 / Max: 25.94 Min: 21.71 / Avg: 25.74 / Max: 27.13 Min: 27.64 / Avg: 27.85 / Max: 28.08 Min: 49.43 / Avg: 52.99 / Max: 55.17 Min: 36.81 / Avg: 37.02 / Max: 37.23 Min: 32.7 / Avg: 34.32 / Max: 35.25 Min: 30.82 / Avg: 31.33 / Max: 31.84 Min: 24.2 / Avg: 24.57 / Max: 25.09 Min: 28.28 / Avg: 28.82 / Max: 29.2 Min: 24.66 / Avg: 25.36 / Max: 26.45 Min: 24.74 / Avg: 27.71 / Max: 33.12 Min: 25.55 / Avg: 26.1 / Max: 27.16 Min: 23.25 / Avg: 23.6 / Max: 24.11 Min: 28.32 / Avg: 29.84 / Max: 30.59 Min: 25.71 / Avg: 25.88 / Max: 26.01 Min: 24.71 / Avg: 24.85 / Max: 24.98 Min: 32.76 / Avg: 32.87 / Max: 33.04 Min: 30.76 / Avg: 31.33 / Max: 31.64 Min: 32.78 / Avg: 33.75 / Max: 34.88 Min: 33.29 / Avg: 34.16 / Max: 34.69 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
PostgreSQL pgbench This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 50 - Mode: Read Write - Average Latency EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 0.6701 1.3402 2.0103 2.6804 3.3505 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 SE +/- 0.005, N = 3 SE +/- 0.008, N = 3 SE +/- 0.019, N = 4 SE +/- 0.009, N = 3 SE +/- 0.006, N = 3 SE +/- 0.004, N = 3 SE +/- 0.001, N = 3 SE +/- 0.004, N = 3 SE +/- 0.006, N = 3 SE +/- 0.004, N = 3 SE +/- 0.005, N = 3 SE +/- 0.004, N = 3 SE +/- 0.004, N = 3 SE +/- 0.001, N = 3 SE +/- 0.005, N = 3 SE +/- 0.008, N = 3 SE +/- 0.001, N = 3 SE +/- 0.009, N = 3 1.979 1.882 2.718 1.347 1.499 1.810 1.673 1.812 2.025 1.863 1.861 1.957 2.053 2.073 2.144 1.903 2.114 2.978 2.635 2.684 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 50 - Mode: Read Write - Average Latency EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 2 4 6 8 10 Min: 1.98 / Avg: 1.98 / Max: 1.98 Min: 1.88 / Avg: 1.88 / Max: 1.89 Min: 2.71 / Avg: 2.72 / Max: 2.72 Min: 1.33 / Avg: 1.35 / Max: 1.36 Min: 1.45 / Avg: 1.5 / Max: 1.54 Min: 1.79 / Avg: 1.81 / Max: 1.82 Min: 1.66 / Avg: 1.67 / Max: 1.69 Min: 1.81 / Avg: 1.81 / Max: 1.82 Min: 2.02 / Avg: 2.03 / Max: 2.03 Min: 1.86 / Avg: 1.86 / Max: 1.87 Min: 1.85 / Avg: 1.86 / Max: 1.87 Min: 1.95 / Avg: 1.96 / Max: 1.96 Min: 2.05 / Avg: 2.05 / Max: 2.06 Min: 2.07 / Avg: 2.07 / Max: 2.08 Min: 2.14 / Avg: 2.14 / Max: 2.15 Min: 1.9 / Avg: 1.9 / Max: 1.9 Min: 2.11 / Avg: 2.11 / Max: 2.12 Min: 2.96 / Avg: 2.98 / Max: 2.99 Min: 2.63 / Avg: 2.63 / Max: 2.64 Min: 2.67 / Avg: 2.68 / Max: 2.7 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Darktable Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Darktable 3.2.1 Test: Server Room - Acceleration: CPU-only EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 0.9569 1.9138 2.8707 3.8276 4.7845 SE +/- 0.011, N = 3 SE +/- 0.001, N = 3 SE +/- 0.014, N = 3 SE +/- 0.016, N = 3 SE +/- 0.004, N = 3 SE +/- 0.006, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.015, N = 3 SE +/- 0.003, N = 3 SE +/- 0.022, N = 13 SE +/- 0.006, N = 3 SE +/- 0.003, N = 3 SE +/- 0.014, N = 3 SE +/- 0.003, N = 3 SE +/- 0.005, N = 3 SE +/- 0.009, N = 3 SE +/- 0.007, N = 3 SE +/- 0.011, N = 3 SE +/- 0.005, N = 3 2.042 2.290 3.527 2.131 1.999 2.012 1.933 1.924 2.113 1.955 1.974 2.030 2.084 2.318 2.479 2.653 3.261 4.007 4.253 4.059
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Darktable 3.2.1 Test: Server Room - Acceleration: CPU-only EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 2 4 6 8 10 Min: 2.03 / Avg: 2.04 / Max: 2.06 Min: 2.29 / Avg: 2.29 / Max: 2.29 Min: 3.51 / Avg: 3.53 / Max: 3.55 Min: 2.11 / Avg: 2.13 / Max: 2.16 Min: 1.99 / Avg: 2 / Max: 2.01 Min: 2 / Avg: 2.01 / Max: 2.02 Min: 1.93 / Avg: 1.93 / Max: 1.94 Min: 1.92 / Avg: 1.92 / Max: 1.93 Min: 2.09 / Avg: 2.11 / Max: 2.14 Min: 1.95 / Avg: 1.96 / Max: 1.96 Min: 1.94 / Avg: 1.97 / Max: 2.24 Min: 2.02 / Avg: 2.03 / Max: 2.04 Min: 2.08 / Avg: 2.08 / Max: 2.09 Min: 2.3 / Avg: 2.32 / Max: 2.34 Min: 2.47 / Avg: 2.48 / Max: 2.48 Min: 2.65 / Avg: 2.65 / Max: 2.66 Min: 3.25 / Avg: 3.26 / Max: 3.28 Min: 3.99 / Avg: 4.01 / Max: 4.02 Min: 4.24 / Avg: 4.25 / Max: 4.27 Min: 4.05 / Avg: 4.06 / Max: 4.07
PostgreSQL pgbench This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 50 - Mode: Read Write EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 8K 16K 24K 32K 40K SE +/- 26.07, N = 3 SE +/- 27.39, N = 3 SE +/- 32.81, N = 3 SE +/- 235.98, N = 3 SE +/- 433.11, N = 4 SE +/- 128.39, N = 3 SE +/- 112.34, N = 3 SE +/- 52.82, N = 3 SE +/- 9.07, N = 3 SE +/- 61.39, N = 3 SE +/- 83.99, N = 3 SE +/- 47.34, N = 3 SE +/- 61.93, N = 3 SE +/- 50.55, N = 3 SE +/- 39.29, N = 3 SE +/- 8.44, N = 3 SE +/- 55.54, N = 3 SE +/- 43.86, N = 3 SE +/- 9.83, N = 3 SE +/- 63.42, N = 3 25274 26575 18402 37125 33395 27640 29894 27606 24700 26847 26881 25560 24361 24128 23328 26287 23659 16795 18983 18634 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result Confidence
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 50 - Mode: Read Write EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 6K 12K 18K 24K 30K Min: 25243.86 / Avg: 25274.39 / Max: 25326.27 Min: 26520.78 / Avg: 26575.42 / Max: 26606.09 Min: 18359.16 / Avg: 18402.47 / Max: 18466.82 Min: 36685.88 / Avg: 37125 / Max: 37494.37 Min: 32432.72 / Avg: 33395.1 / Max: 34538.91 Min: 27475.35 / Avg: 27639.96 / Max: 27892.95 Min: 29689.46 / Avg: 29894.23 / Max: 30076.7 Min: 27501.47 / Avg: 27606.4 / Max: 27669.46 Min: 24686.51 / Avg: 24700.11 / Max: 24717.31 Min: 26724.57 / Avg: 26847.3 / Max: 26911.7 Min: 26778.77 / Avg: 26881.22 / Max: 27047.74 Min: 25466.21 / Avg: 25560.04 / Max: 25617.95 Min: 24247.97 / Avg: 24360.89 / Max: 24461.41 Min: 24041.38 / Avg: 24128.48 / Max: 24216.49 Min: 23279.56 / Avg: 23328.38 / Max: 23406.12 Min: 26271.36 / Avg: 26287.44 / Max: 26299.92 Min: 23550.91 / Avg: 23658.54 / Max: 23736.16 Min: 16721.05 / Avg: 16795.5 / Max: 16872.91 Min: 18972.76 / Avg: 18983.41 / Max: 19003.05 Min: 18557.87 / Avg: 18634.35 / Max: 18760.23 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Darktable Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Darktable 3.2.1 Test: Server Rack - Acceleration: CPU-only EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 0.0383 0.0766 0.1149 0.1532 0.1915 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 15 SE +/- 0.001, N = 4 SE +/- 0.014, N = 15 SE +/- 0.002, N = 13 SE +/- 0.001, N = 12 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 5 SE +/- 0.002, N = 12 SE +/- 0.001, N = 14 SE +/- 0.002, N = 4 SE +/- 0.002, N = 4 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 0.090 0.102 0.149 0.093 0.077 0.101 0.080 0.081 0.087 0.080 0.081 0.082 0.088 0.099 0.106 0.114 0.136 0.165 0.170 0.159
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Darktable 3.2.1 Test: Server Rack - Acceleration: CPU-only EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 1 2 3 4 5 Min: 0.09 / Avg: 0.09 / Max: 0.09 Min: 0.1 / Avg: 0.1 / Max: 0.1 Min: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.08 / Avg: 0.09 / Max: 0.11 Min: 0.08 / Avg: 0.08 / Max: 0.08 Min: 0.08 / Avg: 0.1 / Max: 0.24 Min: 0.08 / Avg: 0.08 / Max: 0.1 Min: 0.08 / Avg: 0.08 / Max: 0.09 Min: 0.09 / Avg: 0.09 / Max: 0.09 Min: 0.08 / Avg: 0.08 / Max: 0.08 Min: 0.08 / Avg: 0.08 / Max: 0.08 Min: 0.08 / Avg: 0.08 / Max: 0.08 Min: 0.09 / Avg: 0.09 / Max: 0.09 Min: 0.09 / Avg: 0.1 / Max: 0.11 Min: 0.1 / Avg: 0.11 / Max: 0.12 Min: 0.11 / Avg: 0.11 / Max: 0.12 Min: 0.13 / Avg: 0.14 / Max: 0.14 Min: 0.16 / Avg: 0.17 / Max: 0.17 Min: 0.17 / Avg: 0.17 / Max: 0.17 Min: 0.16 / Avg: 0.16 / Max: 0.16
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: mobilenet EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 10 20 30 40 50 SE +/- 0.53, N = 3 SE +/- 0.26, N = 10 SE +/- 0.08, N = 3 SE +/- 1.51, N = 3 SE +/- 2.32, N = 3 SE +/- 0.34, N = 3 SE +/- 0.52, N = 3 SE +/- 0.11, N = 8 SE +/- 0.41, N = 3 SE +/- 0.78, N = 3 SE +/- 0.67, N = 12 SE +/- 0.13, N = 3 SE +/- 0.04, N = 3 SE +/- 0.17, N = 15 SE +/- 0.36, N = 3 SE +/- 0.19, N = 3 SE +/- 0.27, N = 3 SE +/- 0.23, N = 3 SE +/- 0.15, N = 15 SE +/- 0.13, N = 4 22.06 21.54 22.58 44.33 37.10 30.56 28.03 20.94 25.98 22.38 23.45 21.38 20.15 24.55 23.01 20.52 23.83 25.82 26.48 27.22 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: mobilenet EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 9 18 27 36 45 Min: 21 / Avg: 22.06 / Max: 22.67 Min: 19.53 / Avg: 21.54 / Max: 22.71 Min: 22.42 / Avg: 22.58 / Max: 22.67 Min: 41.32 / Avg: 44.33 / Max: 45.97 Min: 33.91 / Avg: 37.1 / Max: 41.62 Min: 30.06 / Avg: 30.56 / Max: 31.22 Min: 27.25 / Avg: 28.03 / Max: 29.02 Min: 20.61 / Avg: 20.94 / Max: 21.36 Min: 25.17 / Avg: 25.98 / Max: 26.53 Min: 21.08 / Avg: 22.38 / Max: 23.78 Min: 21.05 / Avg: 23.45 / Max: 27.68 Min: 21.24 / Avg: 21.38 / Max: 21.64 Min: 20.07 / Avg: 20.15 / Max: 20.19 Min: 23.62 / Avg: 24.55 / Max: 25.7 Min: 22.3 / Avg: 23.01 / Max: 23.42 Min: 20.25 / Avg: 20.52 / Max: 20.9 Min: 23.56 / Avg: 23.83 / Max: 24.36 Min: 25.59 / Avg: 25.82 / Max: 26.28 Min: 25.52 / Avg: 26.48 / Max: 27.51 Min: 26.94 / Avg: 27.22 / Max: 27.53 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Darktable Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Darktable 3.2.1 Test: Boat - Acceleration: CPU-only EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 2 4 6 8 10 SE +/- 0.045, N = 3 SE +/- 0.013, N = 3 SE +/- 0.034, N = 3 SE +/- 0.054, N = 4 SE +/- 0.003, N = 3 SE +/- 0.012, N = 3 SE +/- 0.012, N = 3 SE +/- 0.024, N = 3 SE +/- 0.045, N = 3 SE +/- 0.019, N = 3 SE +/- 0.013, N = 3 SE +/- 0.012, N = 3 SE +/- 0.020, N = 3 SE +/- 0.014, N = 3 SE +/- 0.015, N = 3 SE +/- 0.018, N = 3 SE +/- 0.030, N = 3 SE +/- 0.074, N = 3 SE +/- 0.005, N = 3 SE +/- 0.005, N = 3 3.700 3.602 5.695 4.050 3.410 3.311 3.481 3.648 3.741 3.725 3.701 3.796 3.720 4.432 4.105 5.503 6.347 6.456 7.276 6.767
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Darktable 3.2.1 Test: Boat - Acceleration: CPU-only EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 Min: 3.65 / Avg: 3.7 / Max: 3.79 Min: 3.59 / Avg: 3.6 / Max: 3.63 Min: 5.66 / Avg: 5.69 / Max: 5.76 Min: 3.91 / Avg: 4.05 / Max: 4.15 Min: 3.41 / Avg: 3.41 / Max: 3.41 Min: 3.29 / Avg: 3.31 / Max: 3.33 Min: 3.47 / Avg: 3.48 / Max: 3.51 Min: 3.62 / Avg: 3.65 / Max: 3.7 Min: 3.69 / Avg: 3.74 / Max: 3.83 Min: 3.69 / Avg: 3.73 / Max: 3.76 Min: 3.69 / Avg: 3.7 / Max: 3.73 Min: 3.77 / Avg: 3.8 / Max: 3.81 Min: 3.68 / Avg: 3.72 / Max: 3.75 Min: 4.42 / Avg: 4.43 / Max: 4.46 Min: 4.09 / Avg: 4.11 / Max: 4.14 Min: 5.48 / Avg: 5.5 / Max: 5.54 Min: 6.3 / Avg: 6.35 / Max: 6.4 Min: 6.36 / Avg: 6.46 / Max: 6.6 Min: 7.27 / Avg: 7.28 / Max: 7.29 Min: 6.76 / Avg: 6.77 / Max: 6.78
High Performance Conjugate Gradient HPCG is the High Performance Conjugate Gradient and is a new scientific benchmark from Sandia National Lans focused for super-computer testing with modern real-world workloads compared to HPCC. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org GFLOP/s, More Is Better High Performance Conjugate Gradient 3.1 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 4 8 12 16 20 SE +/- 0.01357, N = 3 SE +/- 0.16459, N = 3 SE +/- 0.07227, N = 3 SE +/- 0.21777, N = 3 SE +/- 0.00693, N = 3 SE +/- 0.01654, N = 3 SE +/- 0.02604, N = 3 SE +/- 0.01510, N = 3 SE +/- 0.08758, N = 3 SE +/- 0.01557, N = 3 SE +/- 0.01024, N = 3 SE +/- 0.00575, N = 3 SE +/- 0.01027, N = 3 SE +/- 0.01739, N = 3 SE +/- 0.06961, N = 3 SE +/- 0.02302, N = 3 SE +/- 0.03172, N = 3 SE +/- 0.04345, N = 3 SE +/- 0.06304, N = 3 SE +/- 0.05268, N = 3 17.24060 17.73280 9.19335 15.78500 17.34760 17.59740 16.55080 15.12460 17.69020 15.19950 15.18680 15.11360 15.56040 11.93780 15.41370 8.94634 8.10890 13.48800 8.54683 8.69542 1. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -pthread -lmpi_cxx -lmpi
Result Confidence
OpenBenchmarking.org GFLOP/s, More Is Better High Performance Conjugate Gradient 3.1 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 4 8 12 16 20 Min: 17.21 / Avg: 17.24 / Max: 17.26 Min: 17.41 / Avg: 17.73 / Max: 17.96 Min: 9.05 / Avg: 9.19 / Max: 9.27 Min: 15.52 / Avg: 15.79 / Max: 16.22 Min: 17.34 / Avg: 17.35 / Max: 17.36 Min: 17.57 / Avg: 17.6 / Max: 17.63 Min: 16.51 / Avg: 16.55 / Max: 16.6 Min: 15.1 / Avg: 15.12 / Max: 15.15 Min: 17.54 / Avg: 17.69 / Max: 17.84 Min: 15.17 / Avg: 15.2 / Max: 15.23 Min: 15.17 / Avg: 15.19 / Max: 15.2 Min: 15.1 / Avg: 15.11 / Max: 15.12 Min: 15.54 / Avg: 15.56 / Max: 15.58 Min: 11.9 / Avg: 11.94 / Max: 11.96 Min: 15.28 / Avg: 15.41 / Max: 15.5 Min: 8.92 / Avg: 8.95 / Max: 8.99 Min: 8.07 / Avg: 8.11 / Max: 8.17 Min: 13.43 / Avg: 13.49 / Max: 13.57 Min: 8.43 / Avg: 8.55 / Max: 8.64 Min: 8.59 / Avg: 8.7 / Max: 8.75 1. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -pthread -lmpi_cxx -lmpi
Timed ImageMagick Compilation This test times how long it takes to build ImageMagick. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Timed ImageMagick Compilation 6.9.0 Time To Compile EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 9 18 27 36 45 SE +/- 0.06, N = 3 SE +/- 0.11, N = 3 SE +/- 0.19, N = 3 SE +/- 0.17, N = 3 SE +/- 0.09, N = 3 SE +/- 0.01, N = 3 SE +/- 0.20, N = 3 SE +/- 0.05, N = 3 SE +/- 0.09, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.11, N = 3 SE +/- 0.10, N = 3 SE +/- 0.09, N = 3 SE +/- 0.13, N = 3 SE +/- 0.06, N = 3 SE +/- 0.35, N = 3 SE +/- 0.40, N = 3 SE +/- 0.00, N = 3 SE +/- 0.08, N = 3 19.15 20.67 29.68 17.64 17.61 18.04 18.47 19.26 19.73 19.78 19.75 20.28 20.77 22.74 23.97 25.78 29.47 34.06 36.66 38.47
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed ImageMagick Compilation 6.9.0 Time To Compile EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 8 16 24 32 40 Min: 19.06 / Avg: 19.15 / Max: 19.27 Min: 20.45 / Avg: 20.67 / Max: 20.81 Min: 29.37 / Avg: 29.68 / Max: 30.01 Min: 17.31 / Avg: 17.64 / Max: 17.81 Min: 17.43 / Avg: 17.61 / Max: 17.71 Min: 18.02 / Avg: 18.04 / Max: 18.06 Min: 18.09 / Avg: 18.47 / Max: 18.77 Min: 19.19 / Avg: 19.26 / Max: 19.36 Min: 19.62 / Avg: 19.73 / Max: 19.91 Min: 19.76 / Avg: 19.78 / Max: 19.81 Min: 19.69 / Avg: 19.75 / Max: 19.84 Min: 20.07 / Avg: 20.28 / Max: 20.43 Min: 20.57 / Avg: 20.77 / Max: 20.89 Min: 22.56 / Avg: 22.74 / Max: 22.85 Min: 23.81 / Avg: 23.97 / Max: 24.23 Min: 25.7 / Avg: 25.78 / Max: 25.91 Min: 28.91 / Avg: 29.47 / Max: 30.12 Min: 33.54 / Avg: 34.06 / Max: 34.86 Min: 36.66 / Avg: 36.66 / Max: 36.67 Min: 38.31 / Avg: 38.47 / Max: 38.59
PostgreSQL pgbench This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1000 - Clients: 250 - Mode: Read Write EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 8K 16K 24K 32K 40K SE +/- 21.38, N = 3 SE +/- 103.35, N = 3 SE +/- 13.52, N = 3 SE +/- 193.77, N = 3 SE +/- 42.20, N = 3 SE +/- 31.18, N = 3 SE +/- 113.22, N = 3 SE +/- 124.58, N = 3 SE +/- 147.07, N = 3 SE +/- 88.24, N = 3 SE +/- 144.22, N = 3 SE +/- 165.61, N = 3 SE +/- 101.89, N = 3 SE +/- 120.80, N = 3 SE +/- 133.71, N = 3 SE +/- 19.61, N = 3 SE +/- 22.87, N = 3 SE +/- 42.54, N = 3 SE +/- 11.78, N = 3 SE +/- 39.46, N = 3 33122 23530 18564 34356 32507 33185 34328 35712 29266 34366 33948 30874 31947 30684 25340 29719 23600 16933 17712 16885 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result Confidence
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1000 - Clients: 250 - Mode: Read Write EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 6K 12K 18K 24K 30K Min: 33079.4 / Avg: 33121.84 / Max: 33147.58 Min: 23337.98 / Avg: 23529.58 / Max: 23692.55 Min: 18540.42 / Avg: 18564.06 / Max: 18587.26 Min: 33968.85 / Avg: 34356.37 / Max: 34553.08 Min: 32448.63 / Avg: 32507.36 / Max: 32589.21 Min: 33124.22 / Avg: 33185.44 / Max: 33226.34 Min: 34126.13 / Avg: 34327.72 / Max: 34517.82 Min: 35567.36 / Avg: 35712.36 / Max: 35960.34 Min: 29102.33 / Avg: 29266.2 / Max: 29559.66 Min: 34258.42 / Avg: 34366.01 / Max: 34540.96 Min: 33659.87 / Avg: 33948.31 / Max: 34094.55 Min: 30551.36 / Avg: 30873.5 / Max: 31101.24 Min: 31756.67 / Avg: 31947.17 / Max: 32105.07 Min: 30449.94 / Avg: 30683.77 / Max: 30853.3 Min: 25137.62 / Avg: 25339.61 / Max: 25592.38 Min: 29693.76 / Avg: 29719.02 / Max: 29757.63 Min: 23558.13 / Avg: 23599.78 / Max: 23636.98 Min: 16874.5 / Avg: 16933.07 / Max: 17015.81 Min: 17699.56 / Avg: 17711.97 / Max: 17735.53 Min: 16814.19 / Avg: 16885.02 / Max: 16950.57 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1000 - Clients: 250 - Mode: Read Write - Average Latency EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 4 8 12 16 20 SE +/- 0.005, N = 3 SE +/- 0.046, N = 3 SE +/- 0.010, N = 3 SE +/- 0.044, N = 3 SE +/- 0.008, N = 3 SE +/- 0.006, N = 3 SE +/- 0.024, N = 3 SE +/- 0.025, N = 3 SE +/- 0.043, N = 3 SE +/- 0.019, N = 3 SE +/- 0.032, N = 3 SE +/- 0.043, N = 3 SE +/- 0.025, N = 3 SE +/- 0.032, N = 3 SE +/- 0.052, N = 3 SE +/- 0.006, N = 3 SE +/- 0.010, N = 3 SE +/- 0.037, N = 3 SE +/- 0.010, N = 3 SE +/- 0.034, N = 3 7.557 10.634 13.473 7.301 7.714 7.549 7.300 7.011 8.556 7.286 7.376 8.110 7.835 8.158 9.875 8.419 10.600 14.772 14.122 14.814 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1000 - Clients: 250 - Mode: Read Write - Average Latency EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 4 8 12 16 20 Min: 7.55 / Avg: 7.56 / Max: 7.57 Min: 10.56 / Avg: 10.63 / Max: 10.72 Min: 13.46 / Avg: 13.47 / Max: 13.49 Min: 7.26 / Avg: 7.3 / Max: 7.39 Min: 7.7 / Avg: 7.71 / Max: 7.72 Min: 7.54 / Avg: 7.55 / Max: 7.56 Min: 7.26 / Avg: 7.3 / Max: 7.34 Min: 6.96 / Avg: 7.01 / Max: 7.04 Min: 8.47 / Avg: 8.56 / Max: 8.6 Min: 7.25 / Avg: 7.29 / Max: 7.31 Min: 7.34 / Avg: 7.38 / Max: 7.44 Min: 8.05 / Avg: 8.11 / Max: 8.19 Min: 7.8 / Avg: 7.84 / Max: 7.88 Min: 8.11 / Avg: 8.16 / Max: 8.22 Min: 9.78 / Avg: 9.88 / Max: 9.95 Min: 8.41 / Avg: 8.42 / Max: 8.43 Min: 10.58 / Avg: 10.6 / Max: 10.62 Min: 14.7 / Avg: 14.77 / Max: 14.82 Min: 14.1 / Avg: 14.12 / Max: 14.13 Min: 14.76 / Avg: 14.81 / Max: 14.88 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
NeatBench NeatBench is a benchmark of the cross-platform Neat Video software on the CPU and optional GPU (OpenCL / CUDA) support. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org FPS, More Is Better NeatBench 5 Acceleration: CPU EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 9 18 27 36 45 SE +/- 0.15, N = 3 SE +/- 0.21, N = 3 SE +/- 0.25, N = 3 SE +/- 0.12, N = 3 SE +/- 0.24, N = 3 SE +/- 0.09, N = 3 SE +/- 0.20, N = 3 SE +/- 0.10, N = 3 SE +/- 0.12, N = 3 SE +/- 0.28, N = 3 SE +/- 0.29, N = 3 SE +/- 0.03, N = 3 SE +/- 0.12, N = 3 SE +/- 0.06, N = 3 SE +/- 0.12, N = 3 SE +/- 0.09, N = 3 SE +/- 0.09, N = 3 SE +/- 0.07, N = 3 SE +/- 0.09, N = 3 SE +/- 0.09, N = 3 39.2 35.7 24.5 33.9 34.1 35.0 36.0 36.7 34.9 36.3 36.0 35.2 35.2 32.5 31.8 27.4 24.7 22.3 20.6 18.6
Result Confidence
OpenBenchmarking.org FPS, More Is Better NeatBench 5 Acceleration: CPU EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 8 16 24 32 40 Min: 39 / Avg: 39.2 / Max: 39.5 Min: 35.4 / Avg: 35.7 / Max: 36.1 Min: 24 / Avg: 24.5 / Max: 24.8 Min: 33.7 / Avg: 33.9 / Max: 34.1 Min: 33.8 / Avg: 34.13 / Max: 34.6 Min: 34.9 / Avg: 35.03 / Max: 35.2 Min: 35.7 / Avg: 36.03 / Max: 36.4 Min: 36.6 / Avg: 36.7 / Max: 36.9 Min: 34.7 / Avg: 34.9 / Max: 35.1 Min: 35.7 / Avg: 36.27 / Max: 36.6 Min: 35.5 / Avg: 35.97 / Max: 36.5 Min: 35.1 / Avg: 35.17 / Max: 35.2 Min: 35 / Avg: 35.2 / Max: 35.4 Min: 32.4 / Avg: 32.5 / Max: 32.6 Min: 31.6 / Avg: 31.77 / Max: 32 Min: 27.2 / Avg: 27.37 / Max: 27.5 Min: 24.5 / Avg: 24.67 / Max: 24.8 Min: 22.2 / Avg: 22.27 / Max: 22.4 Min: 20.4 / Avg: 20.57 / Max: 20.7 Min: 18.5 / Avg: 18.63 / Max: 18.8
OpenVINO
Result
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Person Detection 0106 FP16 - Device: CPU EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 1100 2200 3300 4400 5500 SE +/- 3.89, N = 3 SE +/- 5.88, N = 3 SE +/- 9.91, N = 3 SE +/- 11.52, N = 3 SE +/- 2.00, N = 3 SE +/- 3.15, N = 3 SE +/- 1.32, N = 3 SE +/- 1.58, N = 3 SE +/- 6.59, N = 3 SE +/- 1.93, N = 3 SE +/- 1.78, N = 3 SE +/- 1.88, N = 3 SE +/- 4.72, N = 3 SE +/- 6.05, N = 3 SE +/- 9.01, N = 3 SE +/- 4.06, N = 3 SE +/- 12.62, N = 3 SE +/- 23.35, N = 3 SE +/- 6.19, N = 3 SE +/- 16.19, N = 3 2973.92 2665.28 2548.47 5137.70 4779.84 4182.77 4174.72 3311.76 3826.02 3600.68 3619.06 4080.51 3376.25 3939.24 3241.97 3451.64 3362.88 3067.72 3207.58 3258.14 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Person Detection 0106 FP16 - Device: CPU EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 900 1800 2700 3600 4500 Min: 2968.79 / Avg: 2973.92 / Max: 2981.56 Min: 2657.78 / Avg: 2665.28 / Max: 2676.87 Min: 2530.59 / Avg: 2548.47 / Max: 2564.8 Min: 5119.17 / Avg: 5137.7 / Max: 5158.83 Min: 4777.11 / Avg: 4779.84 / Max: 4783.75 Min: 4177.13 / Avg: 4182.77 / Max: 4188.04 Min: 4173.31 / Avg: 4174.72 / Max: 4177.35 Min: 3308.61 / Avg: 3311.76 / Max: 3313.54 Min: 3813.1 / Avg: 3826.02 / Max: 3834.69 Min: 3597.6 / Avg: 3600.68 / Max: 3604.23 Min: 3615.77 / Avg: 3619.06 / Max: 3621.88 Min: 4077.76 / Avg: 4080.51 / Max: 4084.12 Min: 3371.39 / Avg: 3376.25 / Max: 3385.68 Min: 3927.14 / Avg: 3939.24 / Max: 3945.37 Min: 3224.92 / Avg: 3241.97 / Max: 3255.55 Min: 3443.53 / Avg: 3451.64 / Max: 3455.81 Min: 3346.38 / Avg: 3362.88 / Max: 3387.66 Min: 3031.11 / Avg: 3067.72 / Max: 3111.13 Min: 3197.37 / Avg: 3207.58 / Max: 3218.74 Min: 3225.88 / Avg: 3258.14 / Max: 3276.8 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
Result
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Person Detection 0106 FP32 - Device: CPU EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 1100 2200 3300 4400 5500 SE +/- 6.36, N = 3 SE +/- 8.51, N = 3 SE +/- 12.31, N = 3 SE +/- 8.48, N = 3 SE +/- 2.34, N = 3 SE +/- 9.81, N = 3 SE +/- 3.22, N = 3 SE +/- 2.06, N = 3 SE +/- 2.37, N = 3 SE +/- 3.84, N = 3 SE +/- 1.05, N = 3 SE +/- 1.42, N = 3 SE +/- 6.01, N = 3 SE +/- 6.48, N = 3 SE +/- 4.71, N = 3 SE +/- 0.78, N = 3 SE +/- 6.01, N = 3 SE +/- 15.09, N = 3 SE +/- 8.95, N = 3 SE +/- 5.39, N = 3 2997.78 2660.52 2554.61 5139.16 4774.55 4184.58 4162.17 3310.57 3814.20 3605.38 3617.50 4075.64 3382.71 3930.30 3229.97 3447.77 3352.05 3089.44 3205.71 3230.48 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Person Detection 0106 FP32 - Device: CPU EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 900 1800 2700 3600 4500 Min: 2985.12 / Avg: 2997.78 / Max: 3005.23 Min: 2643.9 / Avg: 2660.52 / Max: 2672 Min: 2530.03 / Avg: 2554.61 / Max: 2567.91 Min: 5124.57 / Avg: 5139.16 / Max: 5153.96 Min: 4772.16 / Avg: 4774.55 / Max: 4779.24 Min: 4164.99 / Avg: 4184.58 / Max: 4195.11 Min: 4155.89 / Avg: 4162.17 / Max: 4166.55 Min: 3306.45 / Avg: 3310.57 / Max: 3312.87 Min: 3809.51 / Avg: 3814.2 / Max: 3817.18 Min: 3600.71 / Avg: 3605.38 / Max: 3612.99 Min: 3615.55 / Avg: 3617.5 / Max: 3619.16 Min: 4073.01 / Avg: 4075.64 / Max: 4077.88 Min: 3374.5 / Avg: 3382.71 / Max: 3394.41 Min: 3923.6 / Avg: 3930.3 / Max: 3943.26 Min: 3222.4 / Avg: 3229.97 / Max: 3238.62 Min: 3446.6 / Avg: 3447.77 / Max: 3449.26 Min: 3342.94 / Avg: 3352.05 / Max: 3363.39 Min: 3059.83 / Avg: 3089.44 / Max: 3109.34 Min: 3188.67 / Avg: 3205.71 / Max: 3218.97 Min: 3219.85 / Avg: 3230.48 / Max: 3237.36 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
Stress-NG Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Malloc EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 200M 400M 600M 800M 1000M SE +/- 1557290.44, N = 3 SE +/- 3887259.11, N = 3 SE +/- 506097.03, N = 3 SE +/- 8607660.07, N = 3 SE +/- 14941610.79, N = 5 SE +/- 14142485.95, N = 4 SE +/- 12958817.78, N = 3 SE +/- 3827416.70, N = 3 SE +/- 6691126.83, N = 3 SE +/- 2320863.50, N = 3 SE +/- 6501806.47, N = 3 SE +/- 7505047.53, N = 3 SE +/- 7267307.29, N = 3 SE +/- 5582686.96, N = 4 SE +/- 828548.78, N = 3 SE +/- 1775182.63, N = 3 SE +/- 1200697.76, N = 3 SE +/- 582055.48, N = 3 SE +/- 509017.81, N = 3 SE +/- 191997.00, N = 3 508508378.36 326966719.16 117957703.69 1123083708.67 1149281981.04 986299971.45 903000809.74 638506395.09 735684027.48 616294829.53 628761361.90 590141135.13 424917536.89 384604006.18 244187311.27 187592330.55 131137677.35 105775501.86 83844100.09 63595537.41 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
Result Confidence
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Malloc EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 200M 400M 600M 800M 1000M Min: 506299751.97 / Avg: 508508378.36 / Max: 511514516.37 Min: 319750773.34 / Avg: 326966719.16 / Max: 333080673.82 Min: 116945789.82 / Avg: 117957703.69 / Max: 118484284.65 Min: 1108609374.59 / Avg: 1123083708.67 / Max: 1138392162.81 Min: 1124258696.24 / Avg: 1149281981.04 / Max: 1207808686.44 Min: 960346669.18 / Avg: 986299971.45 / Max: 1017067226.89 Min: 887501124.56 / Avg: 903000809.74 / Max: 928739890.61 Min: 631017463.82 / Avg: 638506395.09 / Max: 643623554.11 Min: 728939655.18 / Avg: 735684027.48 / Max: 749066139.53 Min: 613464334.56 / Avg: 616294829.53 / Max: 620896053.44 Min: 620992825.66 / Avg: 628761361.9 / Max: 641676568.26 Min: 578590393.16 / Avg: 590141135.13 / Max: 604217860.55 Min: 414962112.87 / Avg: 424917536.89 / Max: 439066312.92 Min: 373668851.33 / Avg: 384604006.18 / Max: 394823176.17 Min: 243331735.41 / Avg: 244187311.27 / Max: 245844111.69 Min: 184309391.65 / Avg: 187592330.55 / Max: 190404506.75 Min: 129775143.86 / Avg: 131137677.35 / Max: 133531442.9 Min: 104768693.64 / Avg: 105775501.86 / Max: 106784987.65 Min: 82858529.24 / Avg: 83844100.09 / Max: 84557758.69 Min: 63314674.99 / Avg: 63595537.41 / Max: 63962741.13 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
Timed HMMer Search This test searches through the Pfam database of profile hidden markov models. The search finds the domain structure of Drosophila Sevenless protein. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Timed HMMer Search 3.3.1 Pfam Database Search EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 50 100 150 200 250 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.10, N = 3 SE +/- 0.15, N = 3 SE +/- 0.26, N = 3 SE +/- 0.50, N = 3 SE +/- 0.19, N = 3 SE +/- 0.12, N = 3 SE +/- 0.17, N = 3 SE +/- 0.21, N = 3 SE +/- 0.11, N = 3 SE +/- 0.15, N = 3 SE +/- 0.15, N = 3 SE +/- 0.07, N = 3 SE +/- 0.14, N = 3 SE +/- 0.30, N = 3 SE +/- 0.19, N = 3 SE +/- 0.11, N = 3 SE +/- 0.12, N = 3 142.29 131.90 118.05 233.99 235.71 210.42 209.73 173.90 184.93 177.15 177.12 178.14 164.12 172.65 152.56 154.16 150.37 136.25 145.16 142.11 1. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed HMMer Search 3.3.1 Pfam Database Search EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 40 80 120 160 200 Min: 142.2 / Avg: 142.29 / Max: 142.43 Min: 131.83 / Avg: 131.9 / Max: 132 Min: 117.99 / Avg: 118.05 / Max: 118.14 Min: 233.79 / Avg: 233.98 / Max: 234.09 Min: 235.48 / Avg: 235.71 / Max: 235.99 Min: 209.97 / Avg: 210.42 / Max: 210.89 Min: 209.23 / Avg: 209.73 / Max: 210.73 Min: 173.55 / Avg: 173.9 / Max: 174.18 Min: 184.68 / Avg: 184.93 / Max: 185.07 Min: 176.81 / Avg: 177.15 / Max: 177.32 Min: 176.76 / Avg: 177.12 / Max: 177.49 Min: 177.99 / Avg: 178.14 / Max: 178.35 Min: 163.95 / Avg: 164.12 / Max: 164.42 Min: 172.5 / Avg: 172.65 / Max: 172.96 Min: 152.43 / Avg: 152.56 / Max: 152.67 Min: 153.9 / Avg: 154.16 / Max: 154.39 Min: 150.06 / Avg: 150.37 / Max: 150.97 Min: 135.91 / Avg: 136.25 / Max: 136.57 Min: 144.94 / Avg: 145.16 / Max: 145.27 Min: 141.91 / Avg: 142.11 / Max: 142.32 1. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
Node.js Express HTTP Load Test A Node.js Express server with a Node-based loadtest client for facilitating HTTP benchmarking. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Requests Per Second, More Is Better Node.js Express HTTP Load Test EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 1200 2400 3600 4800 6000 SE +/- 24.66, N = 3 SE +/- 4.04, N = 3 SE +/- 62.95, N = 3 SE +/- 30.93, N = 3 SE +/- 47.30, N = 3 SE +/- 8.14, N = 3 SE +/- 35.10, N = 3 SE +/- 24.85, N = 3 SE +/- 33.29, N = 15 SE +/- 36.29, N = 3 SE +/- 43.70, N = 15 SE +/- 32.77, N = 15 SE +/- 53.48, N = 3 SE +/- 44.07, N = 4 SE +/- 1.33, N = 3 SE +/- 33.02, N = 15 SE +/- 63.07, N = 3 SE +/- 24.73, N = 15 SE +/- 16.76, N = 3 SE +/- 42.15, N = 3 5448 5661 4515 4887 4719 4937 3762 4350 3003 5226 4316 4000 4014 2971 5135 3359 4078 2839 4806 2850 1. Nodejs
v12.18.2
Result Confidence
OpenBenchmarking.org Requests Per Second, More Is Better Node.js Express HTTP Load Test EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 1000 2000 3000 4000 5000 Min: 5415 / Avg: 5447.67 / Max: 5496 Min: 5656 / Avg: 5661 / Max: 5669 Min: 4404 / Avg: 4514.67 / Max: 4622 Min: 4849 / Avg: 4886.67 / Max: 4948 Min: 4633 / Avg: 4719.33 / Max: 4796 Min: 4924 / Avg: 4937 / Max: 4952 Min: 3698 / Avg: 3762 / Max: 3819 Min: 4306 / Avg: 4350 / Max: 4392 Min: 2748 / Avg: 3002.73 / Max: 3153 Min: 5160 / Avg: 5226.33 / Max: 5285 Min: 3849 / Avg: 4316.33 / Max: 4532 Min: 3662 / Avg: 4000 / Max: 4169 Min: 3933 / Avg: 4014 / Max: 4115 Min: 2858 / Avg: 2971.25 / Max: 3059 Min: 5134 / Avg: 5135.33 / Max: 5138 Min: 3068 / Avg: 3359.4 / Max: 3589 Min: 3996 / Avg: 4078 / Max: 4202 Min: 2724 / Avg: 2839 / Max: 3060 Min: 4786 / Avg: 4805.67 / Max: 4839 Min: 2767 / Avg: 2850.33 / Max: 2903 1. Nodejs
v12.18.2
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: squeezenet EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 8 16 24 32 40 SE +/- 0.37, N = 3 SE +/- 0.18, N = 10 SE +/- 0.11, N = 3 SE +/- 0.19, N = 3 SE +/- 0.20, N = 3 SE +/- 0.05, N = 3 SE +/- 0.16, N = 3 SE +/- 0.21, N = 8 SE +/- 0.29, N = 3 SE +/- 0.31, N = 3 SE +/- 0.61, N = 12 SE +/- 0.23, N = 3 SE +/- 0.12, N = 3 SE +/- 0.31, N = 15 SE +/- 0.28, N = 3 SE +/- 0.04, N = 3 SE +/- 0.25, N = 3 SE +/- 0.18, N = 3 SE +/- 0.18, N = 15 SE +/- 0.36, N = 4 21.57 20.22 21.25 36.64 28.08 28.15 24.97 20.00 23.83 20.25 21.89 20.13 19.02 23.85 22.29 18.55 23.23 23.00 24.25 24.42 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: squeezenet EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 8 16 24 32 40 Min: 20.9 / Avg: 21.57 / Max: 22.16 Min: 19.04 / Avg: 20.22 / Max: 20.93 Min: 21.04 / Avg: 21.25 / Max: 21.4 Min: 36.28 / Avg: 36.64 / Max: 36.92 Min: 27.7 / Avg: 28.08 / Max: 28.39 Min: 28.1 / Avg: 28.15 / Max: 28.25 Min: 24.66 / Avg: 24.97 / Max: 25.17 Min: 19.41 / Avg: 20 / Max: 21.27 Min: 23.3 / Avg: 23.83 / Max: 24.31 Min: 19.66 / Avg: 20.25 / Max: 20.73 Min: 19.57 / Avg: 21.89 / Max: 25.19 Min: 19.89 / Avg: 20.13 / Max: 20.59 Min: 18.89 / Avg: 19.02 / Max: 19.26 Min: 22.12 / Avg: 23.85 / Max: 26.12 Min: 21.75 / Avg: 22.29 / Max: 22.7 Min: 18.46 / Avg: 18.55 / Max: 18.6 Min: 22.73 / Avg: 23.23 / Max: 23.51 Min: 22.72 / Avg: 23 / Max: 23.33 Min: 23.38 / Avg: 24.25 / Max: 25.52 Min: 23.48 / Avg: 24.42 / Max: 25.1 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
PostgreSQL pgbench This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 100 - Mode: Read Write EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 8K 16K 24K 32K 40K SE +/- 148.55, N = 3 SE +/- 117.64, N = 3 SE +/- 18.08, N = 3 SE +/- 299.63, N = 3 SE +/- 101.15, N = 3 SE +/- 102.56, N = 3 SE +/- 118.60, N = 3 SE +/- 78.00, N = 3 SE +/- 86.15, N = 3 SE +/- 103.00, N = 3 SE +/- 21.81, N = 3 SE +/- 51.77, N = 3 SE +/- 83.89, N = 3 SE +/- 29.87, N = 3 SE +/- 7.57, N = 3 SE +/- 146.28, N = 3 SE +/- 16.91, N = 3 SE +/- 27.93, N = 3 SE +/- 17.46, N = 3 SE +/- 6.01, N = 3 33552 25093 19700 34154 33238 30867 32370 35592 30982 33924 33986 31451 32549 31848 27933 31841 26523 18060 19383 18537 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result Confidence
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 100 - Mode: Read Write EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 6K 12K 18K 24K 30K Min: 33256.53 / Avg: 33552.19 / Max: 33725.41 Min: 24912.02 / Avg: 25092.89 / Max: 25313.65 Min: 19663.54 / Avg: 19699.69 / Max: 19718.67 Min: 33721.02 / Avg: 34154.35 / Max: 34729.48 Min: 33083.24 / Avg: 33238.13 / Max: 33428.27 Min: 30698.16 / Avg: 30866.88 / Max: 31052.26 Min: 32178.15 / Avg: 32369.75 / Max: 32586.65 Min: 35443.76 / Avg: 35592.46 / Max: 35707.68 Min: 30849.2 / Avg: 30982.07 / Max: 31143.51 Min: 33718.43 / Avg: 33924.16 / Max: 34036.14 Min: 33945.7 / Avg: 33985.57 / Max: 34020.84 Min: 31352.08 / Avg: 31450.92 / Max: 31527.01 Min: 32428.24 / Avg: 32548.65 / Max: 32710.05 Min: 31809.01 / Avg: 31848.24 / Max: 31906.87 Min: 27921.58 / Avg: 27932.63 / Max: 27947.12 Min: 31637.31 / Avg: 31841.25 / Max: 32124.87 Min: 26491.7 / Avg: 26523.04 / Max: 26549.72 Min: 18028.59 / Avg: 18060.48 / Max: 18116.14 Min: 19360.66 / Avg: 19382.71 / Max: 19417.19 Min: 18525.46 / Avg: 18537.25 / Max: 18545.21 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 100 - Mode: Read Write - Average Latency EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 1.2465 2.493 3.7395 4.986 6.2325 SE +/- 0.014, N = 3 SE +/- 0.019, N = 3 SE +/- 0.005, N = 3 SE +/- 0.025, N = 3 SE +/- 0.009, N = 3 SE +/- 0.010, N = 3 SE +/- 0.012, N = 3 SE +/- 0.006, N = 3 SE +/- 0.009, N = 3 SE +/- 0.009, N = 3 SE +/- 0.002, N = 3 SE +/- 0.005, N = 3 SE +/- 0.008, N = 3 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 SE +/- 0.014, N = 3 SE +/- 0.003, N = 3 SE +/- 0.009, N = 3 SE +/- 0.005, N = 3 SE +/- 0.002, N = 3 2.984 3.989 5.079 2.934 3.014 3.245 3.095 2.814 3.232 2.952 2.947 3.184 3.076 3.144 3.584 3.144 3.773 5.540 5.162 5.397 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 100 - Mode: Read Write - Average Latency EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 2 4 6 8 10 Min: 2.97 / Avg: 2.98 / Max: 3.01 Min: 3.95 / Avg: 3.99 / Max: 4.02 Min: 5.07 / Avg: 5.08 / Max: 5.09 Min: 2.89 / Avg: 2.93 / Max: 2.97 Min: 3 / Avg: 3.01 / Max: 3.03 Min: 3.23 / Avg: 3.25 / Max: 3.26 Min: 3.07 / Avg: 3.1 / Max: 3.11 Min: 2.81 / Avg: 2.81 / Max: 2.83 Min: 3.22 / Avg: 3.23 / Max: 3.25 Min: 2.94 / Avg: 2.95 / Max: 2.97 Min: 2.94 / Avg: 2.95 / Max: 2.95 Min: 3.18 / Avg: 3.18 / Max: 3.19 Min: 3.06 / Avg: 3.08 / Max: 3.09 Min: 3.14 / Avg: 3.14 / Max: 3.15 Min: 3.58 / Avg: 3.58 / Max: 3.59 Min: 3.12 / Avg: 3.14 / Max: 3.16 Min: 3.77 / Avg: 3.77 / Max: 3.78 Min: 5.52 / Avg: 5.54 / Max: 5.55 Min: 5.15 / Avg: 5.16 / Max: 5.17 Min: 5.4 / Avg: 5.4 / Max: 5.4 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: vgg16 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 14 28 42 56 70 SE +/- 0.32, N = 3 SE +/- 0.68, N = 10 SE +/- 0.35, N = 3 SE +/- 0.41, N = 3 SE +/- 0.54, N = 3 SE +/- 0.41, N = 3 SE +/- 0.17, N = 3 SE +/- 0.15, N = 8 SE +/- 0.72, N = 3 SE +/- 0.76, N = 3 SE +/- 1.29, N = 12 SE +/- 0.84, N = 3 SE +/- 0.31, N = 3 SE +/- 0.31, N = 15 SE +/- 0.87, N = 3 SE +/- 0.34, N = 3 SE +/- 0.19, N = 3 SE +/- 0.17, N = 3 SE +/- 0.25, N = 15 SE +/- 0.19, N = 4 36.97 37.18 40.01 63.71 43.92 43.46 39.93 32.64 38.80 33.03 36.74 33.55 32.49 41.99 37.89 39.31 49.36 43.06 49.39 50.01 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: vgg16 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 12 24 36 48 60 Min: 36.47 / Avg: 36.97 / Max: 37.57 Min: 31.85 / Avg: 37.18 / Max: 39.52 Min: 39.57 / Avg: 40.01 / Max: 40.7 Min: 63.27 / Avg: 63.71 / Max: 64.54 Min: 43.08 / Avg: 43.92 / Max: 44.93 Min: 42.79 / Avg: 43.46 / Max: 44.19 Min: 39.66 / Avg: 39.93 / Max: 40.24 Min: 32.07 / Avg: 32.64 / Max: 33.38 Min: 37.36 / Avg: 38.8 / Max: 39.61 Min: 32.11 / Avg: 33.03 / Max: 34.53 Min: 32.24 / Avg: 36.74 / Max: 43.77 Min: 32.39 / Avg: 33.55 / Max: 35.17 Min: 32.12 / Avg: 32.49 / Max: 33.11 Min: 39.76 / Avg: 41.99 / Max: 43.74 Min: 36.71 / Avg: 37.89 / Max: 39.58 Min: 38.86 / Avg: 39.31 / Max: 39.99 Min: 48.98 / Avg: 49.36 / Max: 49.63 Min: 42.85 / Avg: 43.06 / Max: 43.39 Min: 47.72 / Avg: 49.39 / Max: 51.72 Min: 49.52 / Avg: 50.01 / Max: 50.37 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 100 200 300 400 500 SE +/- 0.17, N = 3 SE +/- 0.42, N = 3 SE +/- 3.22, N = 3 SE +/- 1.45, N = 3 SE +/- 2.80, N = 3 SE +/- 1.67, N = 3 SE +/- 0.55, N = 3 SE +/- 1.68, N = 3 SE +/- 0.34, N = 3 SE +/- 0.92, N = 3 SE +/- 0.12, N = 3 SE +/- 3.37, N = 3 SE +/- 1.16, N = 3 SE +/- 1.50, N = 3 SE +/- 1.62, N = 3 SE +/- 2.12, N = 3 SE +/- 2.39, N = 3 SE +/- 0.85, N = 3 SE +/- 1.53, N = 3 SE +/- 4.52, N = 3 227.11 230.35 354.73 442.85 381.92 309.36 330.09 251.43 289.88 265.01 271.54 277.10 252.12 305.55 260.18 260.47 334.58 355.52 392.82 373.07 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 80 160 240 320 400 Min: 226.77 / Avg: 227.11 / Max: 227.31 Min: 229.56 / Avg: 230.35 / Max: 230.99 Min: 348.31 / Avg: 354.72 / Max: 358.52 Min: 440.47 / Avg: 442.85 / Max: 445.47 Min: 376.52 / Avg: 381.92 / Max: 385.92 Min: 306.05 / Avg: 309.36 / Max: 311.45 Min: 329.07 / Avg: 330.09 / Max: 330.98 Min: 248.87 / Avg: 251.43 / Max: 254.59 Min: 289.39 / Avg: 289.88 / Max: 290.54 Min: 264.04 / Avg: 265.01 / Max: 266.85 Min: 271.34 / Avg: 271.54 / Max: 271.75 Min: 270.87 / Avg: 277.1 / Max: 282.42 Min: 250.69 / Avg: 252.12 / Max: 254.42 Min: 302.75 / Avg: 305.55 / Max: 307.86 Min: 258.39 / Avg: 260.18 / Max: 263.42 Min: 256.85 / Avg: 260.47 / Max: 264.18 Min: 330.36 / Avg: 334.58 / Max: 338.64 Min: 353.9 / Avg: 355.52 / Max: 356.77 Min: 389.93 / Avg: 392.82 / Max: 395.14 Min: 364.04 / Avg: 373.07 / Max: 377.83 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: resnet18 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 6 12 18 24 30 SE +/- 0.28, N = 3 SE +/- 0.23, N = 10 SE +/- 0.34, N = 3 SE +/- 0.55, N = 3 SE +/- 0.40, N = 3 SE +/- 0.20, N = 3 SE +/- 0.08, N = 3 SE +/- 0.07, N = 8 SE +/- 0.45, N = 3 SE +/- 0.21, N = 3 SE +/- 0.45, N = 12 SE +/- 0.15, N = 3 SE +/- 0.16, N = 3 SE +/- 0.13, N = 15 SE +/- 0.05, N = 3 SE +/- 0.09, N = 3 SE +/- 0.26, N = 3 SE +/- 0.09, N = 3 SE +/- 1.89, N = 15 SE +/- 0.07, N = 4 14.69 13.40 15.19 25.93 17.01 17.33 16.02 14.73 16.09 14.18 15.76 15.11 13.72 17.89 15.20 14.40 17.65 16.15 19.41 17.52 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: resnet18 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 6 12 18 24 30 Min: 14.13 / Avg: 14.69 / Max: 14.97 Min: 11.54 / Avg: 13.4 / Max: 14.2 Min: 14.59 / Avg: 15.19 / Max: 15.77 Min: 24.86 / Avg: 25.93 / Max: 26.68 Min: 16.41 / Avg: 17.01 / Max: 17.77 Min: 16.94 / Avg: 17.33 / Max: 17.63 Min: 15.93 / Avg: 16.02 / Max: 16.19 Min: 14.45 / Avg: 14.73 / Max: 15.08 Min: 15.41 / Avg: 16.09 / Max: 16.94 Min: 13.84 / Avg: 14.18 / Max: 14.56 Min: 14.25 / Avg: 15.76 / Max: 18.49 Min: 14.83 / Avg: 15.11 / Max: 15.36 Min: 13.53 / Avg: 13.72 / Max: 14.03 Min: 17.07 / Avg: 17.89 / Max: 18.64 Min: 15.11 / Avg: 15.2 / Max: 15.28 Min: 14.27 / Avg: 14.4 / Max: 14.57 Min: 17.2 / Avg: 17.65 / Max: 18.09 Min: 16.02 / Avg: 16.15 / Max: 16.32 Min: 16.74 / Avg: 19.41 / Max: 45.87 Min: 17.32 / Avg: 17.52 / Max: 17.67 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
ASKAP This is a CUDA benchmark of ATNF's ASKAP Benchmark with currently using the tConvolveCuda sub-test. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 2018-11-10 Test: tConvolve MT - Gridding EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 1000 2000 3000 4000 5000 SE +/- 6.12, N = 3 SE +/- 1.58, N = 3 SE +/- 50.65, N = 3 SE +/- 19.98, N = 3 SE +/- 5.69, N = 3 SE +/- 12.60, N = 3 SE +/- 5.39, N = 3 SE +/- 4.44, N = 3 SE +/- 33.00, N = 3 SE +/- 1.04, N = 3 SE +/- 9.20, N = 3 SE +/- 7.26, N = 3 SE +/- 12.02, N = 3 SE +/- 49.86, N = 4 SE +/- 13.48, N = 3 SE +/- 10.08, N = 3 SE +/- 22.86, N = 3 SE +/- 25.69, N = 3 SE +/- 36.62, N = 3 SE +/- 6.48, N = 3 4225.37 4501.69 3088.71 4352.03 4445.33 4389.41 4265.80 3646.83 4254.94 3650.99 3634.42 3622.05 3718.88 3651.00 3861.21 2334.81 2368.92 3072.62 2390.87 2345.90 1. (CXX) g++ options: -lpthread
Result Confidence
OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 2018-11-10 Test: tConvolve MT - Gridding EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 800 1600 2400 3200 4000 Min: 4217.92 / Avg: 4225.37 / Max: 4237.5 Min: 4498.52 / Avg: 4501.69 / Max: 4503.27 Min: 2987.44 / Avg: 3088.71 / Max: 3141.66 Min: 4314.02 / Avg: 4352.03 / Max: 4381.69 Min: 4434.14 / Avg: 4445.33 / Max: 4452.67 Min: 4376.81 / Avg: 4389.41 / Max: 4414.61 Min: 4255.84 / Avg: 4265.8 / Max: 4274.34 Min: 3638 / Avg: 3646.83 / Max: 3652.03 Min: 4190.95 / Avg: 4254.94 / Max: 4300.96 Min: 3648.9 / Avg: 3650.99 / Max: 3652.03 Min: 3620.99 / Avg: 3634.42 / Max: 3652.03 Min: 3613.31 / Avg: 3622.05 / Max: 3636.45 Min: 3700.14 / Avg: 3718.88 / Max: 3741.3 Min: 3503.37 / Avg: 3651 / Max: 3717.36 Min: 3841.39 / Avg: 3861.21 / Max: 3886.95 Min: 2324.11 / Avg: 2334.81 / Max: 2354.95 Min: 2330.47 / Avg: 2368.92 / Max: 2409.56 Min: 3025.64 / Avg: 3072.62 / Max: 3114.11 Min: 2317.79 / Avg: 2390.87 / Max: 2431.56 Min: 2333.02 / Avg: 2345.9 / Max: 2353.64 1. (CXX) g++ options: -lpthread
MariaDB This is a MariaDB MySQL database server benchmark making use of mysqlslap. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Queries Per Second, More Is Better MariaDB 10.5.2 Clients: 512 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 100 200 300 400 500 SE +/- 0.93, N = 3 SE +/- 0.61, N = 3 SE +/- 2.03, N = 3 SE +/- 1.03, N = 3 SE +/- 0.51, N = 3 SE +/- 0.79, N = 3 SE +/- 0.49, N = 3 SE +/- 0.53, N = 3 SE +/- 0.52, N = 3 SE +/- 0.58, N = 3 SE +/- 0.63, N = 3 SE +/- 0.17, N = 3 SE +/- 0.35, N = 3 SE +/- 0.69, N = 3 SE +/- 0.13, N = 3 SE +/- 0.73, N = 3 SE +/- 0.53, N = 3 SE +/- 0.52, N = 3 SE +/- 0.57, N = 3 SE +/- 0.77, N = 3 451 387 279 356 354 383 378 432 355 409 408 377 415 376 383 454 377 236 263 280 1. (CXX) g++ options: -pie -fPIC -fstack-protector -O2 -lpthread -llzma -lbz2 -lsnappy -lnuma -lpcre2-8 -lcrypt -lz -lm -lssl -lcrypto -ldl
Result Confidence
OpenBenchmarking.org Queries Per Second, More Is Better MariaDB 10.5.2 Clients: 512 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 80 160 240 320 400 Min: 449.84 / Avg: 451.06 / Max: 452.9 Min: 386.1 / Avg: 386.85 / Max: 388.05 Min: 275.41 / Avg: 279.23 / Max: 282.33 Min: 354.74 / Avg: 356.47 / Max: 358.29 Min: 353.36 / Avg: 354.15 / Max: 355.11 Min: 381.97 / Avg: 383.1 / Max: 384.62 Min: 376.79 / Avg: 377.64 / Max: 378.5 Min: 431.59 / Avg: 432.22 / Max: 433.28 Min: 354.36 / Avg: 355.33 / Max: 356.13 Min: 408.16 / Avg: 409.17 / Max: 410.17 Min: 407.17 / Avg: 408.22 / Max: 409.33 Min: 377.22 / Avg: 377.45 / Max: 377.79 Min: 414.08 / Avg: 414.65 / Max: 415.28 Min: 375.23 / Avg: 375.99 / Max: 377.36 Min: 382.85 / Avg: 383.09 / Max: 383.29 Min: 453.31 / Avg: 454.13 / Max: 455.58 Min: 375.94 / Avg: 376.84 / Max: 377.79 Min: 235.52 / Avg: 236.32 / Max: 237.3 Min: 261.92 / Avg: 262.58 / Max: 263.71 Min: 278.24 / Avg: 279.59 / Max: 280.9 1. (CXX) g++ options: -pie -fPIC -fstack-protector -O2 -lpthread -llzma -lbz2 -lsnappy -lnuma -lpcre2-8 -lcrypt -lz -lm -lssl -lcrypto -ldl
OpenVINO
Result
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Face Detection 0106 FP16 - Device: CPU EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 800 1600 2400 3200 4000 SE +/- 2.69, N = 3 SE +/- 7.58, N = 3 SE +/- 4.52, N = 3 SE +/- 14.96, N = 3 SE +/- 4.17, N = 3 SE +/- 0.89, N = 3 SE +/- 1.56, N = 3 SE +/- 2.01, N = 3 SE +/- 2.71, N = 3 SE +/- 1.51, N = 3 SE +/- 1.08, N = 3 SE +/- 1.26, N = 3 SE +/- 3.22, N = 3 SE +/- 4.14, N = 3 SE +/- 4.74, N = 3 SE +/- 4.62, N = 3 SE +/- 3.30, N = 3 SE +/- 2.33, N = 3 SE +/- 6.54, N = 3 SE +/- 13.27, N = 3 2275.81 2056.94 1998.07 3839.87 3508.02 3092.81 3248.81 2604.68 2896.79 2792.73 2805.48 3070.66 2614.51 2991.16 2600.47 2677.81 2586.14 2436.75 2600.15 2597.69 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Face Detection 0106 FP16 - Device: CPU EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 700 1400 2100 2800 3500 Min: 2271.29 / Avg: 2275.81 / Max: 2280.6 Min: 2043.82 / Avg: 2056.94 / Max: 2070.07 Min: 1992.29 / Avg: 1998.07 / Max: 2006.99 Min: 3819.73 / Avg: 3839.87 / Max: 3869.1 Min: 3499.99 / Avg: 3508.02 / Max: 3514.01 Min: 3091.18 / Avg: 3092.81 / Max: 3094.24 Min: 3246.75 / Avg: 3248.81 / Max: 3251.86 Min: 2600.93 / Avg: 2604.68 / Max: 2607.81 Min: 2893.86 / Avg: 2896.79 / Max: 2902.21 Min: 2790.22 / Avg: 2792.73 / Max: 2795.45 Min: 2804.09 / Avg: 2805.48 / Max: 2807.61 Min: 3069.11 / Avg: 3070.66 / Max: 3073.15 Min: 2608.68 / Avg: 2614.51 / Max: 2619.8 Min: 2982.89 / Avg: 2991.16 / Max: 2995.63 Min: 2594.08 / Avg: 2600.47 / Max: 2609.73 Min: 2668.76 / Avg: 2677.81 / Max: 2683.98 Min: 2580.39 / Avg: 2586.14 / Max: 2591.83 Min: 2432.1 / Avg: 2436.75 / Max: 2439.19 Min: 2587.1 / Avg: 2600.15 / Max: 2607.47 Min: 2571.87 / Avg: 2597.69 / Max: 2615.92 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
Stress-NG Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Forking EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 14K 28K 42K 56K 70K SE +/- 490.90, N = 14 SE +/- 229.75, N = 3 SE +/- 239.10, N = 3 SE +/- 176.57, N = 3 SE +/- 60.18, N = 3 SE +/- 321.18, N = 3 SE +/- 468.99, N = 15 SE +/- 437.03, N = 3 SE +/- 341.83, N = 3 SE +/- 241.08, N = 3 SE +/- 491.54, N = 3 SE +/- 920.22, N = 4 SE +/- 1239.94, N = 15 SE +/- 1348.73, N = 15 SE +/- 275.30, N = 3 SE +/- 152.36, N = 3 SE +/- 84.88, N = 3 SE +/- 91.74, N = 3 SE +/- 133.20, N = 3 SE +/- 71.48, N = 3 61253.78 59402.61 37856.21 51183.28 51197.81 51763.13 52421.16 64460.63 52852.27 63083.58 61836.51 61372.67 64404.93 61161.49 59610.98 65784.91 54278.91 34303.92 37612.10 38055.48 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
Result Confidence
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Forking EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 11K 22K 33K 44K 55K Min: 58118.01 / Avg: 61253.78 / Max: 64354.32 Min: 58959.13 / Avg: 59402.61 / Max: 59728.54 Min: 37556.37 / Avg: 37856.21 / Max: 38328.73 Min: 50839.81 / Avg: 51183.28 / Max: 51426.06 Min: 51112.45 / Avg: 51197.81 / Max: 51313.99 Min: 51177.38 / Avg: 51763.13 / Max: 52284.35 Min: 48119.17 / Avg: 52421.16 / Max: 53819.68 Min: 63717.54 / Avg: 64460.63 / Max: 65230.73 Min: 52179.66 / Avg: 52852.27 / Max: 53294.56 Min: 62764.22 / Avg: 63083.58 / Max: 63556.1 Min: 61166.4 / Avg: 61836.51 / Max: 62794.51 Min: 58752.25 / Avg: 61372.67 / Max: 62931.84 Min: 56916.25 / Avg: 64404.93 / Max: 69223.31 Min: 53679.74 / Avg: 61161.49 / Max: 66058.07 Min: 59178.64 / Avg: 59610.98 / Max: 60122.42 Min: 65481.22 / Avg: 65784.91 / Max: 65958.47 Min: 54160.94 / Avg: 54278.91 / Max: 54443.62 Min: 34195.02 / Avg: 34303.92 / Max: 34486.25 Min: 37466.22 / Avg: 37612.1 / Max: 37878.08 Min: 37912.54 / Avg: 38055.48 / Max: 38128.59 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
MariaDB This is a MariaDB MySQL database server benchmark making use of mysqlslap. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Queries Per Second, More Is Better MariaDB 10.5.2 Clients: 128 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 120 240 360 480 600 SE +/- 1.64, N = 3 SE +/- 1.22, N = 3 SE +/- 0.47, N = 3 SE +/- 1.02, N = 3 SE +/- 0.38, N = 3 SE +/- 0.83, N = 3 SE +/- 1.01, N = 3 SE +/- 0.80, N = 3 SE +/- 0.76, N = 3 SE +/- 0.28, N = 3 SE +/- 0.91, N = 3 SE +/- 0.77, N = 3 SE +/- 0.73, N = 3 SE +/- 0.66, N = 3 SE +/- 1.16, N = 3 SE +/- 1.58, N = 3 SE +/- 0.86, N = 3 SE +/- 0.46, N = 3 SE +/- 1.18, N = 3 SE +/- 0.41, N = 3 547 476 351 432 426 464 457 517 430 495 490 453 501 455 465 554 461 291 329 359 1. (CXX) g++ options: -pie -fPIC -fstack-protector -O2 -lpthread -llzma -lbz2 -lsnappy -lnuma -lpcre2-8 -lcrypt -lz -lm -lssl -lcrypto -ldl
Result Confidence
OpenBenchmarking.org Queries Per Second, More Is Better MariaDB 10.5.2 Clients: 128 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 100 200 300 400 500 Min: 544.07 / Avg: 546.96 / Max: 549.75 Min: 474.38 / Avg: 475.82 / Max: 478.24 Min: 349.9 / Avg: 350.84 / Max: 351.37 Min: 429.74 / Avg: 431.54 / Max: 433.28 Min: 425.71 / Avg: 426.44 / Max: 426.99 Min: 462.75 / Avg: 463.97 / Max: 465.55 Min: 455.58 / Avg: 456.69 / Max: 458.72 Min: 516.26 / Avg: 517.07 / Max: 518.67 Min: 428.45 / Avg: 429.62 / Max: 431.03 Min: 494.56 / Avg: 495.05 / Max: 495.54 Min: 488.28 / Avg: 489.72 / Max: 491.4 Min: 451.26 / Avg: 452.56 / Max: 453.93 Min: 499.5 / Avg: 500.67 / Max: 502.01 Min: 453.72 / Avg: 454.82 / Max: 456 Min: 463.82 / Avg: 465.19 / Max: 467.51 Min: 551.88 / Avg: 554.03 / Max: 557.1 Min: 459.77 / Avg: 460.83 / Max: 462.53 Min: 289.77 / Avg: 290.67 / Max: 291.29 Min: 327.33 / Avg: 328.92 / Max: 331.24 Min: 358.68 / Avg: 359.41 / Max: 360.1 1. (CXX) g++ options: -pie -fPIC -fstack-protector -O2 -lpthread -llzma -lbz2 -lsnappy -lnuma -lpcre2-8 -lcrypt -lz -lm -lssl -lcrypto -ldl
Mobile Neural Network MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by ALibaba. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: inception-v3 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 12 24 36 48 60 SE +/- 0.23, N = 15 SE +/- 0.19, N = 15 SE +/- 0.66, N = 3 SE +/- 0.23, N = 12 SE +/- 0.13, N = 15 SE +/- 0.07, N = 3 SE +/- 0.12, N = 15 SE +/- 0.10, N = 12 SE +/- 0.26, N = 15 SE +/- 0.13, N = 3 SE +/- 0.06, N = 12 SE +/- 0.09, N = 15 SE +/- 0.23, N = 15 SE +/- 0.19, N = 15 SE +/- 0.21, N = 3 SE +/- 0.40, N = 3 SE +/- 0.20, N = 12 SE +/- 0.73, N = 3 SE +/- 0.33, N = 3 SE +/- 0.25, N = 12 32.60 34.18 45.21 32.53 28.32 28.29 29.08 26.92 28.78 27.39 27.51 28.00 33.29 37.00 40.25 37.16 44.08 48.96 50.44 51.11 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: inception-v3 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 10 20 30 40 50 Min: 31.3 / Avg: 32.6 / Max: 33.96 Min: 33.19 / Avg: 34.18 / Max: 35.14 Min: 44.43 / Avg: 45.21 / Max: 46.53 Min: 31.11 / Avg: 32.53 / Max: 33.96 Min: 27.64 / Avg: 28.32 / Max: 29.38 Min: 28.21 / Avg: 28.29 / Max: 28.43 Min: 28.43 / Avg: 29.08 / Max: 29.83 Min: 26.35 / Avg: 26.92 / Max: 27.47 Min: 27.78 / Avg: 28.78 / Max: 31.81 Min: 27.23 / Avg: 27.39 / Max: 27.64 Min: 27.07 / Avg: 27.51 / Max: 27.89 Min: 27.56 / Avg: 28 / Max: 28.75 Min: 32.08 / Avg: 33.29 / Max: 35.28 Min: 35.97 / Avg: 37 / Max: 38.04 Min: 40.01 / Avg: 40.25 / Max: 40.66 Min: 36.4 / Avg: 37.16 / Max: 37.73 Min: 43.1 / Avg: 44.08 / Max: 45.16 Min: 47.67 / Avg: 48.96 / Max: 50.18 Min: 49.77 / Avg: 50.44 / Max: 50.85 Min: 49.99 / Avg: 51.11 / Max: 52.36 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
AI Benchmark Alpha AI Benchmark Alpha is a Python library for evaluating artificial intelligence (AI) performance on diverse hardware platforms and relies upon the TensorFlow machine learning library. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Score, More Is Better AI Benchmark Alpha 0.1.2 Device Inference Score EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 400 800 1200 1600 2000 1831 1658 1176 1843 1912 1928 1908 1906 1796 1858 1861 1811 1746 1638 1502 1422 1268 1029 1016 1020
OpenVINO
Result
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Face Detection 0106 FP32 - Device: CPU EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 800 1600 2400 3200 4000 SE +/- 2.68, N = 3 SE +/- 0.56, N = 3 SE +/- 2.63, N = 3 SE +/- 13.85, N = 3 SE +/- 5.97, N = 3 SE +/- 2.14, N = 3 SE +/- 1.11, N = 3 SE +/- 1.22, N = 3 SE +/- 3.65, N = 3 SE +/- 2.16, N = 3 SE +/- 1.31, N = 3 SE +/- 2.41, N = 3 SE +/- 5.29, N = 3 SE +/- 2.65, N = 3 SE +/- 0.94, N = 3 SE +/- 1.27, N = 3 SE +/- 3.76, N = 3 SE +/- 8.09, N = 3 SE +/- 6.48, N = 3 SE +/- 5.91, N = 3 2280.09 2064.65 2005.91 3802.58 3505.17 3093.73 3239.74 2600.40 2894.52 2794.68 2802.25 3065.49 2619.80 2990.38 2598.28 2673.76 2589.48 2432.00 2588.02 2605.05 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Face Detection 0106 FP32 - Device: CPU EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 700 1400 2100 2800 3500 Min: 2276.36 / Avg: 2280.09 / Max: 2285.29 Min: 2063.74 / Avg: 2064.65 / Max: 2065.66 Min: 2000.66 / Avg: 2005.91 / Max: 2008.73 Min: 3782.5 / Avg: 3802.58 / Max: 3829.14 Min: 3494.9 / Avg: 3505.17 / Max: 3515.57 Min: 3090.11 / Avg: 3093.73 / Max: 3097.51 Min: 3237.91 / Avg: 3239.74 / Max: 3241.74 Min: 2598.01 / Avg: 2600.4 / Max: 2602.05 Min: 2890.55 / Avg: 2894.52 / Max: 2901.82 Min: 2790.38 / Avg: 2794.68 / Max: 2797.22 Min: 2800.17 / Avg: 2802.25 / Max: 2804.68 Min: 3062.31 / Avg: 3065.49 / Max: 3070.23 Min: 2609.52 / Avg: 2619.8 / Max: 2627.12 Min: 2985.22 / Avg: 2990.38 / Max: 2994.01 Min: 2596.72 / Avg: 2598.28 / Max: 2599.98 Min: 2671.86 / Avg: 2673.76 / Max: 2676.17 Min: 2583.64 / Avg: 2589.48 / Max: 2596.51 Min: 2417.5 / Avg: 2432 / Max: 2445.45 Min: 2576.99 / Avg: 2588.02 / Max: 2599.43 Min: 2594.21 / Avg: 2605.05 / Max: 2614.56 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
Mobile Neural Network MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by ALibaba. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: mobilenet-v1-1.0 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 SE +/- 0.205, N = 15 SE +/- 0.012, N = 15 SE +/- 0.038, N = 3 SE +/- 0.067, N = 12 SE +/- 0.020, N = 15 SE +/- 0.177, N = 3 SE +/- 0.049, N = 15 SE +/- 0.017, N = 12 SE +/- 0.054, N = 15 SE +/- 0.015, N = 3 SE +/- 0.020, N = 12 SE +/- 0.010, N = 15 SE +/- 0.188, N = 15 SE +/- 0.245, N = 15 SE +/- 0.085, N = 3 SE +/- 0.048, N = 3 SE +/- 0.090, N = 12 SE +/- 0.055, N = 3 SE +/- 0.084, N = 3 SE +/- 0.064, N = 12 5.896 6.528 7.068 6.541 5.348 5.546 5.712 5.134 5.307 5.472 5.450 5.262 6.416 6.949 7.800 7.536 9.640 7.927 8.284 8.677 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: mobilenet-v1-1.0 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 Min: 4.97 / Avg: 5.9 / Max: 6.79 Min: 6.45 / Avg: 6.53 / Max: 6.61 Min: 7.01 / Avg: 7.07 / Max: 7.14 Min: 6.25 / Avg: 6.54 / Max: 7.01 Min: 5.26 / Avg: 5.35 / Max: 5.52 Min: 5.33 / Avg: 5.55 / Max: 5.9 Min: 5.4 / Avg: 5.71 / Max: 5.9 Min: 4.99 / Avg: 5.13 / Max: 5.2 Min: 5.16 / Avg: 5.31 / Max: 5.94 Min: 5.45 / Avg: 5.47 / Max: 5.5 Min: 5.34 / Avg: 5.45 / Max: 5.58 Min: 5.21 / Avg: 5.26 / Max: 5.33 Min: 5.32 / Avg: 6.42 / Max: 7.16 Min: 5.7 / Avg: 6.95 / Max: 7.81 Min: 7.63 / Avg: 7.8 / Max: 7.91 Min: 7.49 / Avg: 7.54 / Max: 7.63 Min: 9.14 / Avg: 9.64 / Max: 10.38 Min: 7.83 / Avg: 7.93 / Max: 8.03 Min: 8.15 / Avg: 8.28 / Max: 8.44 Min: 8.16 / Avg: 8.68 / Max: 9.01 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: alexnet EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 5 10 15 20 25 SE +/- 0.33, N = 3 SE +/- 0.28, N = 10 SE +/- 0.40, N = 2 SE +/- 0.63, N = 3 SE +/- 0.61, N = 3 SE +/- 0.18, N = 3 SE +/- 0.32, N = 3 SE +/- 0.12, N = 8 SE +/- 0.37, N = 3 SE +/- 0.13, N = 3 SE +/- 0.40, N = 12 SE +/- 0.09, N = 3 SE +/- 0.05, N = 3 SE +/- 0.20, N = 15 SE +/- 0.23, N = 3 SE +/- 0.04, N = 3 SE +/- 0.23, N = 3 SE +/- 0.15, N = 3 SE +/- 0.06, N = 15 SE +/- 0.16, N = 4 10.52 9.86 10.44 18.51 11.21 11.59 11.31 10.85 11.07 9.95 11.70 10.84 10.04 12.96 11.32 10.94 12.75 11.03 12.66 12.85 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: alexnet EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 5 10 15 20 25 Min: 9.92 / Avg: 10.52 / Max: 11.06 Min: 8.01 / Avg: 9.86 / Max: 11.13 Min: 10.04 / Avg: 10.44 / Max: 10.83 Min: 17.78 / Avg: 18.51 / Max: 19.77 Min: 10.53 / Avg: 11.21 / Max: 12.43 Min: 11.35 / Avg: 11.59 / Max: 11.95 Min: 10.87 / Avg: 11.31 / Max: 11.93 Min: 10.47 / Avg: 10.85 / Max: 11.37 Min: 10.66 / Avg: 11.07 / Max: 11.81 Min: 9.82 / Avg: 9.95 / Max: 10.2 Min: 10.19 / Avg: 11.7 / Max: 14.07 Min: 10.75 / Avg: 10.84 / Max: 11.02 Min: 9.96 / Avg: 10.04 / Max: 10.13 Min: 11.74 / Avg: 12.96 / Max: 14.52 Min: 10.87 / Avg: 11.32 / Max: 11.66 Min: 10.89 / Avg: 10.94 / Max: 11.03 Min: 12.32 / Avg: 12.75 / Max: 13.12 Min: 10.74 / Avg: 11.03 / Max: 11.2 Min: 12.41 / Avg: 12.66 / Max: 13.1 Min: 12.47 / Avg: 12.85 / Max: 13.25 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
MariaDB This is a MariaDB MySQL database server benchmark making use of mysqlslap. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Queries Per Second, More Is Better MariaDB 10.5.2 Clients: 256 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 100 200 300 400 500 SE +/- 0.32, N = 3 SE +/- 0.34, N = 3 SE +/- 0.69, N = 3 SE +/- 0.45, N = 3 SE +/- 0.42, N = 3 SE +/- 0.35, N = 3 SE +/- 0.24, N = 3 SE +/- 0.87, N = 3 SE +/- 0.45, N = 3 SE +/- 0.74, N = 3 SE +/- 0.55, N = 3 SE +/- 0.42, N = 3 SE +/- 0.55, N = 3 SE +/- 0.46, N = 3 SE +/- 0.25, N = 3 SE +/- 1.01, N = 3 SE +/- 0.82, N = 3 SE +/- 0.34, N = 3 SE +/- 0.65, N = 3 SE +/- 0.57, N = 3 455 394 287 356 354 385 379 431 358 411 410 379 417 379 387 459 382 247 273 292 1. (CXX) g++ options: -pie -fPIC -fstack-protector -O2 -lpthread -llzma -lbz2 -lsnappy -lnuma -lpcre2-8 -lcrypt -lz -lm -lssl -lcrypto -ldl
Result Confidence
OpenBenchmarking.org Queries Per Second, More Is Better MariaDB 10.5.2 Clients: 256 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 80 160 240 320 400 Min: 454.55 / Avg: 454.96 / Max: 455.58 Min: 392.93 / Avg: 393.6 / Max: 394.01 Min: 285.71 / Avg: 287.08 / Max: 287.77 Min: 354.86 / Avg: 355.54 / Max: 356.38 Min: 353.48 / Avg: 354.03 / Max: 354.86 Min: 384.76 / Avg: 385.31 / Max: 385.95 Min: 378.5 / Avg: 378.98 / Max: 379.22 Min: 430.11 / Avg: 431.47 / Max: 433.09 Min: 357.4 / Avg: 358.21 / Max: 358.94 Min: 410.17 / Avg: 411.07 / Max: 412.54 Min: 409 / Avg: 409.78 / Max: 410.85 Min: 378.79 / Avg: 379.46 / Max: 380.23 Min: 416.49 / Avg: 417.13 / Max: 418.24 Min: 377.64 / Avg: 378.55 / Max: 379.08 Min: 386.7 / Avg: 386.95 / Max: 387.45 Min: 456.83 / Avg: 458.79 / Max: 460.19 Min: 380.08 / Avg: 381.63 / Max: 382.85 Min: 246.43 / Avg: 246.79 / Max: 247.46 Min: 271.74 / Avg: 272.76 / Max: 273.97 Min: 291.21 / Avg: 291.86 / Max: 293 1. (CXX) g++ options: -pie -fPIC -fstack-protector -O2 -lpthread -llzma -lbz2 -lsnappy -lnuma -lpcre2-8 -lcrypt -lz -lm -lssl -lcrypto -ldl
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: yolov4-tiny EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 13 26 39 52 65 SE +/- 0.27, N = 3 SE +/- 0.23, N = 10 SE +/- 0.06, N = 3 SE +/- 0.75, N = 3 SE +/- 0.37, N = 3 SE +/- 0.29, N = 3 SE +/- 0.14, N = 3 SE +/- 0.15, N = 8 SE +/- 0.32, N = 3 SE +/- 0.10, N = 3 SE +/- 5.01, N = 12 SE +/- 0.08, N = 3 SE +/- 0.12, N = 3 SE +/- 0.20, N = 15 SE +/- 0.20, N = 3 SE +/- 0.09, N = 3 SE +/- 0.32, N = 3 SE +/- 0.38, N = 3 SE +/- 0.19, N = 15 SE +/- 0.53, N = 4 33.02 31.41 33.66 57.12 37.22 36.67 35.05 31.97 34.50 32.15 41.55 32.44 31.68 37.06 34.03 31.53 35.19 36.84 37.01 37.85 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: yolov4-tiny EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 11 22 33 44 55 Min: 32.49 / Avg: 33.02 / Max: 33.31 Min: 29.4 / Avg: 31.41 / Max: 31.94 Min: 33.55 / Avg: 33.66 / Max: 33.77 Min: 55.66 / Avg: 57.12 / Max: 58.17 Min: 36.6 / Avg: 37.22 / Max: 37.87 Min: 36.2 / Avg: 36.67 / Max: 37.21 Min: 34.79 / Avg: 35.05 / Max: 35.29 Min: 31.22 / Avg: 31.97 / Max: 32.54 Min: 33.95 / Avg: 34.5 / Max: 35.06 Min: 32.01 / Avg: 32.15 / Max: 32.34 Min: 31.9 / Avg: 41.55 / Max: 81.75 Min: 32.35 / Avg: 32.44 / Max: 32.6 Min: 31.55 / Avg: 31.68 / Max: 31.91 Min: 35.91 / Avg: 37.06 / Max: 38.58 Min: 33.75 / Avg: 34.03 / Max: 34.41 Min: 31.37 / Avg: 31.53 / Max: 31.69 Min: 34.57 / Avg: 35.19 / Max: 35.66 Min: 36.08 / Avg: 36.84 / Max: 37.28 Min: 35.8 / Avg: 37.01 / Max: 38.44 Min: 36.65 / Avg: 37.85 / Max: 39.21 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Mlpack Benchmark Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_linearridgeregression EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 0.6435 1.287 1.9305 2.574 3.2175 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 6 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 1.67 1.82 2.40 1.60 1.58 1.81 1.95 1.73 1.81 1.79 1.79 1.87 1.82 2.04 2.13 2.15 2.36 2.68 2.83 2.86
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_linearridgeregression EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 2 4 6 8 10 Min: 1.65 / Avg: 1.67 / Max: 1.69 Min: 1.78 / Avg: 1.82 / Max: 1.87 Min: 2.38 / Avg: 2.4 / Max: 2.43 Min: 1.57 / Avg: 1.6 / Max: 1.62 Min: 1.56 / Avg: 1.58 / Max: 1.61 Min: 1.79 / Avg: 1.81 / Max: 1.83 Min: 1.94 / Avg: 1.95 / Max: 1.95 Min: 1.71 / Avg: 1.73 / Max: 1.74 Min: 1.8 / Avg: 1.81 / Max: 1.82 Min: 1.77 / Avg: 1.79 / Max: 1.81 Min: 1.77 / Avg: 1.79 / Max: 1.81 Min: 1.86 / Avg: 1.87 / Max: 1.87 Min: 1.81 / Avg: 1.82 / Max: 1.84 Min: 2.03 / Avg: 2.04 / Max: 2.05 Min: 2.11 / Avg: 2.13 / Max: 2.15 Min: 2.11 / Avg: 2.15 / Max: 2.19 Min: 2.33 / Avg: 2.36 / Max: 2.39 Min: 2.54 / Avg: 2.68 / Max: 2.75 Min: 2.8 / Avg: 2.83 / Max: 2.85 Min: 2.81 / Avg: 2.86 / Max: 2.93
Stream This benchmark tests the system memory (RAM) performance. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org MB/s, More Is Better Stream 2013-01-17 Type: Triad EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 20K 40K 60K 80K 100K SE +/- 17.47, N = 5 SE +/- 26.38, N = 5 SE +/- 30.39, N = 5 SE +/- 25.27, N = 5 SE +/- 44.59, N = 5 SE +/- 25.19, N = 5 SE +/- 56.50, N = 5 SE +/- 14.74, N = 5 SE +/- 12.33, N = 5 SE +/- 4.01, N = 5 SE +/- 25.28, N = 5 SE +/- 30.03, N = 5 SE +/- 17.41, N = 5 SE +/- 72.45, N = 5 SE +/- 12.51, N = 5 SE +/- 6.90, N = 5 SE +/- 12.57, N = 5 SE +/- 18.22, N = 5 SE +/- 31.07, N = 5 SE +/- 6.04, N = 5 96608.3 100472.4 89542.3 98142.0 98556.1 99219.5 96936.0 87290.0 99680.8 87289.2 87319.2 87264.6 87431.1 86874.0 88384.1 55554.4 55803.3 90094.8 56700.0 56930.3 1. (CC) gcc options: -O3 -march=native -fopenmp
Result Confidence
OpenBenchmarking.org MB/s, More Is Better Stream 2013-01-17 Type: Triad EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 20K 40K 60K 80K 100K Min: 96567.9 / Avg: 96608.26 / Max: 96668.9 Min: 100414.3 / Avg: 100472.42 / Max: 100561.7 Min: 89428.4 / Avg: 89542.34 / Max: 89605.9 Min: 98063.6 / Avg: 98142.04 / Max: 98195.6 Min: 98388.6 / Avg: 98556.06 / Max: 98643.1 Min: 99181.5 / Avg: 99219.46 / Max: 99317.5 Min: 96848.4 / Avg: 96936.04 / Max: 97157.8 Min: 87238.2 / Avg: 87289.96 / Max: 87329.8 Min: 99646.9 / Avg: 99680.84 / Max: 99709.1 Min: 87276 / Avg: 87289.18 / Max: 87301 Min: 87260.1 / Avg: 87319.2 / Max: 87406.4 Min: 87180.8 / Avg: 87264.58 / Max: 87339.6 Min: 87364.6 / Avg: 87431.12 / Max: 87463.3 Min: 86636.8 / Avg: 86874.04 / Max: 87045.1 Min: 88351.5 / Avg: 88384.12 / Max: 88427.6 Min: 55541.4 / Avg: 55554.36 / Max: 55572.4 Min: 55754.3 / Avg: 55803.34 / Max: 55821.7 Min: 90053.2 / Avg: 90094.84 / Max: 90158.1 Min: 56629.4 / Avg: 56699.96 / Max: 56804.8 Min: 56912.4 / Avg: 56930.26 / Max: 56947.5 1. (CC) gcc options: -O3 -march=native -fopenmp
PostgreSQL pgbench This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1000 - Clients: 100 - Mode: Read Write EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 7K 14K 21K 28K 35K SE +/- 182.35, N = 3 SE +/- 210.97, N = 3 SE +/- 48.99, N = 3 SE +/- 33.78, N = 3 SE +/- 118.59, N = 3 SE +/- 101.40, N = 3 SE +/- 82.99, N = 3 SE +/- 147.71, N = 3 SE +/- 9.73, N = 3 SE +/- 70.45, N = 3 SE +/- 132.62, N = 3 SE +/- 147.21, N = 3 SE +/- 93.09, N = 3 SE +/- 52.15, N = 3 SE +/- 24.50, N = 3 SE +/- 57.62, N = 3 SE +/- 42.24, N = 3 SE +/- 42.70, N = 3 SE +/- 44.39, N = 3 SE +/- 38.90, N = 3 30635 25631 18968 30234 28946 28052 30056 31925 27104 30472 30608 27817 29755 28983 26710 30264 26353 17773 19178 18526 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result Confidence
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1000 - Clients: 100 - Mode: Read Write EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 6K 12K 18K 24K 30K Min: 30422.57 / Avg: 30634.68 / Max: 30997.65 Min: 25306.01 / Avg: 25631.36 / Max: 26026.7 Min: 18870.47 / Avg: 18968.29 / Max: 19022.11 Min: 30166.75 / Avg: 30234.16 / Max: 30271.83 Min: 28709.38 / Avg: 28946.44 / Max: 29071.66 Min: 27946.46 / Avg: 28051.59 / Max: 28254.36 Min: 29898.19 / Avg: 30055.53 / Max: 30179.97 Min: 31629.49 / Avg: 31924.55 / Max: 32084.7 Min: 27089.74 / Avg: 27103.73 / Max: 27122.43 Min: 30351.66 / Avg: 30472.2 / Max: 30595.65 Min: 30344.25 / Avg: 30608.03 / Max: 30764.02 Min: 27578.49 / Avg: 27817.02 / Max: 28085.76 Min: 29586.2 / Avg: 29754.83 / Max: 29907.47 Min: 28879.4 / Avg: 28983.04 / Max: 29045.02 Min: 26674.67 / Avg: 26710.42 / Max: 26757.31 Min: 30148.99 / Avg: 30264.23 / Max: 30322.74 Min: 26282.22 / Avg: 26352.9 / Max: 26428.32 Min: 17717.75 / Avg: 17772.88 / Max: 17856.94 Min: 19092.39 / Avg: 19177.91 / Max: 19241.32 Min: 18453.24 / Avg: 18526.01 / Max: 18586.25 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Stream This benchmark tests the system memory (RAM) performance. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org MB/s, More Is Better Stream 2013-01-17 Type: Copy EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 20K 40K 60K 80K 100K SE +/- 14.01, N = 5 SE +/- 13.28, N = 5 SE +/- 40.08, N = 5 SE +/- 35.94, N = 5 SE +/- 32.77, N = 5 SE +/- 23.52, N = 5 SE +/- 27.16, N = 5 SE +/- 12.50, N = 5 SE +/- 34.39, N = 5 SE +/- 23.76, N = 5 SE +/- 18.08, N = 5 SE +/- 12.81, N = 5 SE +/- 18.34, N = 5 SE +/- 86.08, N = 5 SE +/- 15.92, N = 5 SE +/- 7.59, N = 5 SE +/- 33.21, N = 5 SE +/- 22.12, N = 5 SE +/- 29.37, N = 5 SE +/- 12.43, N = 5 88258.2 91926.7 81278.9 89704.6 90228.3 90802.5 88756.6 79643.9 91183.6 79634.2 79627.0 79606.6 79953.8 79301.4 80513.0 51217.1 51571.1 82215.9 52030.3 52350.5 1. (CC) gcc options: -O3 -march=native -fopenmp
Result Confidence
OpenBenchmarking.org MB/s, More Is Better Stream 2013-01-17 Type: Copy EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 16K 32K 48K 64K 80K Min: 88222.2 / Avg: 88258.16 / Max: 88304.6 Min: 91885.9 / Avg: 91926.68 / Max: 91960.2 Min: 81165 / Avg: 81278.94 / Max: 81396.4 Min: 89606.3 / Avg: 89704.6 / Max: 89822.2 Min: 90109.3 / Avg: 90228.28 / Max: 90303.3 Min: 90737.9 / Avg: 90802.52 / Max: 90873.1 Min: 88696.8 / Avg: 88756.64 / Max: 88824.7 Min: 79601.5 / Avg: 79643.86 / Max: 79678.1 Min: 91080.3 / Avg: 91183.56 / Max: 91262.4 Min: 79574.2 / Avg: 79634.24 / Max: 79689.4 Min: 79577.9 / Avg: 79627.04 / Max: 79677.1 Min: 79558.1 / Avg: 79606.62 / Max: 79628.9 Min: 79896.3 / Avg: 79953.78 / Max: 80003.9 Min: 79070.7 / Avg: 79301.44 / Max: 79534.5 Min: 80462.4 / Avg: 80513 / Max: 80556.1 Min: 51191.8 / Avg: 51217.06 / Max: 51236 Min: 51446.9 / Avg: 51571.1 / Max: 51646.4 Min: 82156.7 / Avg: 82215.88 / Max: 82275.5 Min: 51965.2 / Avg: 52030.26 / Max: 52108.8 Min: 52328.6 / Avg: 52350.52 / Max: 52398.9 1. (CC) gcc options: -O3 -march=native -fopenmp
PostgreSQL pgbench This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1000 - Clients: 100 - Mode: Read Write - Average Latency EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 1.2668 2.5336 3.8004 5.0672 6.334 SE +/- 0.019, N = 3 SE +/- 0.032, N = 3 SE +/- 0.014, N = 3 SE +/- 0.004, N = 3 SE +/- 0.015, N = 3 SE +/- 0.013, N = 3 SE +/- 0.010, N = 3 SE +/- 0.014, N = 3 SE +/- 0.001, N = 3 SE +/- 0.008, N = 3 SE +/- 0.013, N = 3 SE +/- 0.019, N = 3 SE +/- 0.010, N = 3 SE +/- 0.006, N = 3 SE +/- 0.003, N = 3 SE +/- 0.006, N = 3 SE +/- 0.006, N = 3 SE +/- 0.013, N = 3 SE +/- 0.013, N = 3 SE +/- 0.011, N = 3 3.269 3.906 5.275 3.313 3.460 3.572 3.333 3.137 3.696 3.287 3.272 3.600 3.366 3.456 3.748 3.307 3.797 5.630 5.218 5.401 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1000 - Clients: 100 - Mode: Read Write - Average Latency EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 2 4 6 8 10 Min: 3.23 / Avg: 3.27 / Max: 3.29 Min: 3.85 / Avg: 3.91 / Max: 3.96 Min: 5.26 / Avg: 5.28 / Max: 5.3 Min: 3.31 / Avg: 3.31 / Max: 3.32 Min: 3.44 / Avg: 3.46 / Max: 3.49 Min: 3.55 / Avg: 3.57 / Max: 3.59 Min: 3.32 / Avg: 3.33 / Max: 3.35 Min: 3.12 / Avg: 3.14 / Max: 3.17 Min: 3.69 / Avg: 3.7 / Max: 3.7 Min: 3.27 / Avg: 3.29 / Max: 3.3 Min: 3.26 / Avg: 3.27 / Max: 3.3 Min: 3.57 / Avg: 3.6 / Max: 3.63 Min: 3.35 / Avg: 3.37 / Max: 3.39 Min: 3.45 / Avg: 3.46 / Max: 3.47 Min: 3.74 / Avg: 3.75 / Max: 3.75 Min: 3.3 / Avg: 3.31 / Max: 3.32 Min: 3.79 / Avg: 3.8 / Max: 3.81 Min: 5.6 / Avg: 5.63 / Max: 5.65 Min: 5.2 / Avg: 5.22 / Max: 5.24 Min: 5.38 / Avg: 5.4 / Max: 5.42 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Stream This benchmark tests the system memory (RAM) performance. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org MB/s, More Is Better Stream 2013-01-17 Type: Add EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 20K 40K 60K 80K 100K SE +/- 14.97, N = 5 SE +/- 27.65, N = 5 SE +/- 17.48, N = 5 SE +/- 145.28, N = 5 SE +/- 27.85, N = 5 SE +/- 26.54, N = 5 SE +/- 31.32, N = 5 SE +/- 16.43, N = 5 SE +/- 18.47, N = 5 SE +/- 15.47, N = 5 SE +/- 9.61, N = 5 SE +/- 29.22, N = 5 SE +/- 18.59, N = 5 SE +/- 95.95, N = 5 SE +/- 12.35, N = 5 SE +/- 8.29, N = 5 SE +/- 17.33, N = 5 SE +/- 18.90, N = 5 SE +/- 44.14, N = 5 SE +/- 4.03, N = 5 95753.8 99400.2 89222.7 96867.4 97473.2 98124.1 96255.6 87010.8 98566.4 86951.1 87013.3 86940.2 87137.3 86384.2 88008.9 55485.1 55696.1 89746.0 56552.7 56973.5 1. (CC) gcc options: -O3 -march=native -fopenmp
Result Confidence
OpenBenchmarking.org MB/s, More Is Better Stream 2013-01-17 Type: Add EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 20K 40K 60K 80K 100K Min: 95708.5 / Avg: 95753.82 / Max: 95792.3 Min: 99329.3 / Avg: 99400.16 / Max: 99494.2 Min: 89186 / Avg: 89222.66 / Max: 89285.6 Min: 96350.6 / Avg: 96867.36 / Max: 97091.3 Min: 97374.9 / Avg: 97473.24 / Max: 97525.9 Min: 98047.4 / Avg: 98124.06 / Max: 98175.5 Min: 96153.7 / Avg: 96255.6 / Max: 96319.3 Min: 86947.4 / Avg: 87010.8 / Max: 87038.3 Min: 98509.9 / Avg: 98566.42 / Max: 98618.9 Min: 86894.1 / Avg: 86951.12 / Max: 86978.2 Min: 86981.9 / Avg: 87013.34 / Max: 87042.1 Min: 86849.1 / Avg: 86940.18 / Max: 87029.3 Min: 87066.9 / Avg: 87137.32 / Max: 87168.7 Min: 86095.1 / Avg: 86384.16 / Max: 86677.1 Min: 87976.2 / Avg: 88008.86 / Max: 88050.9 Min: 55463.1 / Avg: 55485.12 / Max: 55514.5 Min: 55667.7 / Avg: 55696.1 / Max: 55762 Min: 89676.2 / Avg: 89746.04 / Max: 89780.1 Min: 56402.9 / Avg: 56552.7 / Max: 56673.4 Min: 56958.2 / Avg: 56973.52 / Max: 56980.1 1. (CC) gcc options: -O3 -march=native -fopenmp
Result
OpenBenchmarking.org MB/s, More Is Better Stream 2013-01-17 Type: Scale EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 20K 40K 60K 80K 100K SE +/- 8.10, N = 5 SE +/- 97.97, N = 5 SE +/- 60.32, N = 5 SE +/- 88.18, N = 5 SE +/- 50.29, N = 5 SE +/- 51.61, N = 5 SE +/- 33.78, N = 5 SE +/- 22.40, N = 5 SE +/- 19.39, N = 5 SE +/- 35.41, N = 5 SE +/- 18.84, N = 5 SE +/- 34.50, N = 5 SE +/- 20.95, N = 5 SE +/- 107.49, N = 5 SE +/- 33.32, N = 5 SE +/- 12.22, N = 5 SE +/- 26.50, N = 5 SE +/- 26.46, N = 5 SE +/- 45.85, N = 5 SE +/- 17.43, N = 5 87569.0 91285.9 81891.4 87987.8 88346.1 89250.4 87456.3 78989.7 90222.2 79087.5 79082.1 78981.2 79498.2 78936.4 80191.9 51214.0 51795.4 82753.0 52614.3 52916.0 1. (CC) gcc options: -O3 -march=native -fopenmp
Result Confidence
OpenBenchmarking.org MB/s, More Is Better Stream 2013-01-17 Type: Scale EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 16K 32K 48K 64K 80K Min: 87542.1 / Avg: 87569.02 / Max: 87590 Min: 90897.7 / Avg: 91285.88 / Max: 91424 Min: 81779.2 / Avg: 81891.38 / Max: 82097.4 Min: 87752.7 / Avg: 87987.76 / Max: 88246.6 Min: 88183.9 / Avg: 88346.14 / Max: 88465.3 Min: 89101.9 / Avg: 89250.36 / Max: 89401 Min: 87379.1 / Avg: 87456.34 / Max: 87579.8 Min: 78922.8 / Avg: 78989.74 / Max: 79043.7 Min: 90166.2 / Avg: 90222.16 / Max: 90277.7 Min: 78996.2 / Avg: 79087.5 / Max: 79204.1 Min: 79043.7 / Avg: 79082.08 / Max: 79153.7 Min: 78875.5 / Avg: 78981.18 / Max: 79054.8 Min: 79424.4 / Avg: 79498.2 / Max: 79534.5 Min: 78534.9 / Avg: 78936.38 / Max: 79176.1 Min: 80111.8 / Avg: 80191.92 / Max: 80273.8 Min: 51177 / Avg: 51214 / Max: 51245.7 Min: 51724.9 / Avg: 51795.42 / Max: 51860.4 Min: 82700.4 / Avg: 82753.02 / Max: 82849.4 Min: 52481.3 / Avg: 52614.34 / Max: 52732.4 Min: 52874.9 / Avg: 52915.96 / Max: 52971.3 1. (CC) gcc options: -O3 -march=native -fopenmp
libavif avifenc This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.7.3 Encoder Speed: 0 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 20 40 60 80 100 SE +/- 0.21, N = 3 SE +/- 0.19, N = 3 SE +/- 0.12, N = 3 SE +/- 0.22, N = 3 SE +/- 0.39, N = 3 SE +/- 0.13, N = 3 SE +/- 0.18, N = 3 SE +/- 0.26, N = 3 SE +/- 0.08, N = 3 SE +/- 0.36, N = 3 SE +/- 0.16, N = 3 SE +/- 0.27, N = 3 SE +/- 0.25, N = 3 SE +/- 0.06, N = 3 SE +/- 0.35, N = 3 SE +/- 0.38, N = 3 62.56 63.82 89.80 64.52 68.96 66.64 66.24 67.94 68.80 76.78 75.21 79.29 88.74 103.24 111.13 109.66 1. (CXX) g++ options: -O3 -fPIC
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.7.3 Encoder Speed: 0 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 20 40 60 80 100 Min: 62.19 / Avg: 62.56 / Max: 62.91 Min: 63.45 / Avg: 63.82 / Max: 64.1 Min: 89.62 / Avg: 89.8 / Max: 90.03 Min: 64.27 / Avg: 64.51 / Max: 64.96 Min: 68.24 / Avg: 68.96 / Max: 69.6 Min: 66.44 / Avg: 66.64 / Max: 66.88 Min: 66.05 / Avg: 66.24 / Max: 66.59 Min: 67.52 / Avg: 67.94 / Max: 68.41 Min: 68.66 / Avg: 68.8 / Max: 68.93 Min: 76.12 / Avg: 76.78 / Max: 77.36 Min: 74.93 / Avg: 75.21 / Max: 75.47 Min: 78.76 / Avg: 79.29 / Max: 79.57 Min: 88.3 / Avg: 88.74 / Max: 89.16 Min: 103.16 / Avg: 103.24 / Max: 103.35 Min: 110.64 / Avg: 111.13 / Max: 111.79 Min: 109.05 / Avg: 109.66 / Max: 110.37 1. (CXX) g++ options: -O3 -fPIC
DaCapo Benchmark This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 9.12-MR1 Java Test: H2 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 1400 2800 4200 5600 7000 SE +/- 29.68, N = 4 SE +/- 44.91, N = 4 SE +/- 38.45, N = 4 SE +/- 69.19, N = 4 SE +/- 31.24, N = 4 SE +/- 41.17, N = 4 SE +/- 38.12, N = 4 SE +/- 22.38, N = 4 SE +/- 37.98, N = 4 SE +/- 20.63, N = 4 SE +/- 35.97, N = 4 SE +/- 70.51, N = 4 SE +/- 40.00, N = 4 SE +/- 52.55, N = 4 SE +/- 30.25, N = 4 SE +/- 43.33, N = 4 SE +/- 45.90, N = 4 SE +/- 63.10, N = 4 SE +/- 52.81, N = 4 SE +/- 38.97, N = 4 4123 3856 3724 6443 6596 6196 6270 5713 5856 5727 5808 5754 5457 5633 5051 5029 4856 4433 4541 4712
Result Confidence
OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 9.12-MR1 Java Test: H2 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 1100 2200 3300 4400 5500 Min: 4069 / Avg: 4122.75 / Max: 4194 Min: 3739 / Avg: 3856 / Max: 3927 Min: 3675 / Avg: 3724.25 / Max: 3839 Min: 6285 / Avg: 6442.5 / Max: 6622 Min: 6503 / Avg: 6595.5 / Max: 6640 Min: 6082 / Avg: 6195.75 / Max: 6270 Min: 6211 / Avg: 6270 / Max: 6381 Min: 5658 / Avg: 5712.5 / Max: 5753 Min: 5756 / Avg: 5855.5 / Max: 5939 Min: 5686 / Avg: 5727 / Max: 5764 Min: 5746 / Avg: 5807.5 / Max: 5908 Min: 5574 / Avg: 5753.75 / Max: 5903 Min: 5386 / Avg: 5457.25 / Max: 5529 Min: 5484 / Avg: 5633 / Max: 5724 Min: 4966 / Avg: 5050.75 / Max: 5105 Min: 4903 / Avg: 5028.5 / Max: 5102 Min: 4734 / Avg: 4855.75 / Max: 4957 Min: 4326 / Avg: 4433.25 / Max: 4587 Min: 4417 / Avg: 4540.5 / Max: 4664 Min: 4618 / Avg: 4712 / Max: 4803
Darmstadt Automotive Parallel Heterogeneous Suite DAPHNE is the Darmstadt Automotive Parallel HeterogeNEous Benchmark Suite with OpenCL / CUDA / OpenMP test cases for these automotive benchmarks for evaluating programming models in context to vehicle autonomous driving capabilities. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Test Cases Per Minute, More Is Better Darmstadt Automotive Parallel Heterogeneous Suite Backend: OpenMP - Kernel: Points2Image EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 5K 10K 15K 20K 25K SE +/- 187.50, N = 3 SE +/- 319.14, N = 3 SE +/- 110.61, N = 3 SE +/- 122.79, N = 13 SE +/- 280.41, N = 3 SE +/- 43.29, N = 3 SE +/- 221.68, N = 5 SE +/- 280.35, N = 3 SE +/- 72.02, N = 3 SE +/- 142.85, N = 3 SE +/- 155.52, N = 12 SE +/- 259.43, N = 4 SE +/- 159.08, N = 3 SE +/- 239.42, N = 3 SE +/- 240.93, N = 3 SE +/- 217.91, N = 3 SE +/- 323.02, N = 3 SE +/- 211.99, N = 3 SE +/- 42.70, N = 3 SE +/- 118.88, N = 3 17666.54 21582.81 23233.00 15257.55 16873.45 17395.25 18207.44 19075.07 13145.41 17798.97 18522.93 18480.81 18249.35 15123.65 19739.79 20819.97 19909.57 19338.54 20799.73 21863.96 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp
Result Confidence
OpenBenchmarking.org Test Cases Per Minute, More Is Better Darmstadt Automotive Parallel Heterogeneous Suite Backend: OpenMP - Kernel: Points2Image EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 4K 8K 12K 16K 20K Min: 17297.65 / Avg: 17666.54 / Max: 17909.38 Min: 21033.37 / Avg: 21582.81 / Max: 22138.83 Min: 23060.25 / Avg: 23233 / Max: 23439.06 Min: 14565.09 / Avg: 15257.55 / Max: 16057.81 Min: 16389.37 / Avg: 16873.45 / Max: 17360.71 Min: 17319.17 / Avg: 17395.25 / Max: 17469.08 Min: 17459.27 / Avg: 18207.44 / Max: 18715.49 Min: 18515.2 / Avg: 19075.07 / Max: 19381.66 Min: 13030.5 / Avg: 13145.41 / Max: 13278.1 Min: 17553.05 / Avg: 17798.97 / Max: 18047.88 Min: 17705.49 / Avg: 18522.93 / Max: 19423.51 Min: 17861.61 / Avg: 18480.81 / Max: 18982.48 Min: 18085.74 / Avg: 18249.35 / Max: 18567.46 Min: 14646.18 / Avg: 15123.65 / Max: 15393.69 Min: 19334.26 / Avg: 19739.79 / Max: 20167.93 Min: 20414.34 / Avg: 20819.97 / Max: 21160.81 Min: 19512.83 / Avg: 19909.57 / Max: 20549.49 Min: 18915.03 / Avg: 19338.54 / Max: 19567.68 Min: 20746.03 / Avg: 20799.73 / Max: 20884.09 Min: 21744.25 / Avg: 21863.96 / Max: 22101.73 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp
Stress-NG Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Atomic EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 110K 220K 330K 440K 550K SE +/- 296.51, N = 3 SE +/- 454.86, N = 3 SE +/- 151.23, N = 3 SE +/- 1889.52, N = 3 SE +/- 1968.01, N = 3 SE +/- 2100.86, N = 3 SE +/- 2254.42, N = 3 SE +/- 5397.86, N = 3 SE +/- 526.59, N = 3 SE +/- 4653.97, N = 3 SE +/- 4362.99, N = 3 SE +/- 3875.11, N = 3 SE +/- 5200.29, N = 3 SE +/- 153.43, N = 3 SE +/- 387.43, N = 3 SE +/- 1069.53, N = 3 SE +/- 553.73, N = 3 SE +/- 317.40, N = 3 SE +/- 333.77, N = 3 SE +/- 988.10, N = 3 365769.88 509785.83 509178.11 402875.35 403206.36 424385.84 399369.85 408037.40 335428.63 406722.26 406779.77 400360.82 434178.88 387954.79 337766.57 394488.53 416979.46 442279.44 338725.99 289487.99 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
Result Confidence
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Atomic EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 90K 180K 270K 360K 450K Min: 365364.92 / Avg: 365769.88 / Max: 366347.54 Min: 509318.56 / Avg: 509785.83 / Max: 510695.43 Min: 508921.37 / Avg: 509178.11 / Max: 509444.95 Min: 399272.4 / Avg: 402875.35 / Max: 405664.23 Min: 399300.05 / Avg: 403206.36 / Max: 405577.63 Min: 420677.52 / Avg: 424385.84 / Max: 427950.88 Min: 395001.31 / Avg: 399369.85 / Max: 402520.6 Min: 398157.78 / Avg: 408037.4 / Max: 416746.25 Min: 334600.86 / Avg: 335428.63 / Max: 336406.41 Min: 397939.88 / Avg: 406722.26 / Max: 413783.79 Min: 398632.17 / Avg: 406779.77 / Max: 413559.03 Min: 392650.92 / Avg: 400360.82 / Max: 404899.47 Min: 424348.06 / Avg: 434178.88 / Max: 442034.56 Min: 387663.63 / Avg: 387954.79 / Max: 388184.29 Min: 337027.91 / Avg: 337766.57 / Max: 338338.6 Min: 392385.92 / Avg: 394488.53 / Max: 395880.4 Min: 416080.83 / Avg: 416979.46 / Max: 417989.3 Min: 441671.08 / Avg: 442279.44 / Max: 442740.63 Min: 338338.48 / Avg: 338725.99 / Max: 339390.48 Min: 287852.67 / Avg: 289487.99 / Max: 291266.56 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
libavif avifenc This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.7.3 Encoder Speed: 2 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 15 30 45 60 75 SE +/- 0.05, N = 3 SE +/- 0.19, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 SE +/- 0.18, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.10, N = 3 SE +/- 0.02, N = 3 SE +/- 0.10, N = 3 SE +/- 0.21, N = 3 SE +/- 0.23, N = 3 SE +/- 0.18, N = 3 SE +/- 0.10, N = 3 SE +/- 0.15, N = 3 SE +/- 0.29, N = 3 37.70 38.59 53.95 38.73 41.28 40.00 40.03 40.97 41.26 46.33 45.25 47.51 53.88 62.01 66.32 65.94 1. (CXX) g++ options: -O3 -fPIC
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.7.3 Encoder Speed: 2 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 13 26 39 52 65 Min: 37.64 / Avg: 37.7 / Max: 37.8 Min: 38.31 / Avg: 38.59 / Max: 38.96 Min: 53.84 / Avg: 53.95 / Max: 54.03 Min: 38.64 / Avg: 38.72 / Max: 38.81 Min: 41.04 / Avg: 41.28 / Max: 41.64 Min: 39.91 / Avg: 40 / Max: 40.04 Min: 39.98 / Avg: 40.03 / Max: 40.08 Min: 40.77 / Avg: 40.97 / Max: 41.1 Min: 41.22 / Avg: 41.26 / Max: 41.28 Min: 46.14 / Avg: 46.33 / Max: 46.45 Min: 44.95 / Avg: 45.25 / Max: 45.64 Min: 47.21 / Avg: 47.51 / Max: 47.96 Min: 53.6 / Avg: 53.88 / Max: 54.21 Min: 61.82 / Avg: 62.01 / Max: 62.12 Min: 66.03 / Avg: 66.32 / Max: 66.54 Min: 65.38 / Avg: 65.94 / Max: 66.34 1. (CXX) g++ options: -O3 -fPIC
Appleseed Appleseed is an open-source production renderer focused on physically-based global illumination rendering engine primarily designed for animation and visual effects. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Appleseed 2.0 Beta Scene: Material Tester EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 60 120 180 240 300 173.88 190.98 258.08 179.75 178.64 180.85 178.69 168.49 182.49 169.80 169.79 174.46 171.91 181.45 192.27 187.00 216.88 283.43 288.52 294.77
ASTC Encoder ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better ASTC Encoder 2.0 Preset: Medium EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 6.66 6.85 8.84 6.58 6.62 6.75 6.76 6.81 7.14 6.99 6.98 7.13 7.25 7.89 8.07 8.40 9.16 5.29 5.62 5.51 1. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better ASTC Encoder 2.0 Preset: Medium EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 Min: 6.63 / Avg: 6.66 / Max: 6.67 Min: 6.84 / Avg: 6.85 / Max: 6.86 Min: 8.82 / Avg: 8.84 / Max: 8.85 Min: 6.57 / Avg: 6.58 / Max: 6.6 Min: 6.6 / Avg: 6.62 / Max: 6.66 Min: 6.73 / Avg: 6.75 / Max: 6.77 Min: 6.74 / Avg: 6.76 / Max: 6.78 Min: 6.8 / Avg: 6.81 / Max: 6.81 Min: 7.13 / Avg: 7.14 / Max: 7.15 Min: 6.97 / Avg: 6.99 / Max: 7 Min: 6.97 / Avg: 6.98 / Max: 7 Min: 7.12 / Avg: 7.13 / Max: 7.15 Min: 7.24 / Avg: 7.25 / Max: 7.26 Min: 7.87 / Avg: 7.89 / Max: 7.9 Min: 8.05 / Avg: 8.07 / Max: 8.09 Min: 8.38 / Avg: 8.4 / Max: 8.43 Min: 9.14 / Avg: 9.16 / Max: 9.18 Min: 5.29 / Avg: 5.29 / Max: 5.3 Min: 5.61 / Avg: 5.62 / Max: 5.62 Min: 5.51 / Avg: 5.51 / Max: 5.52 1. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
Timed PHP Compilation This test times how long it takes to build PHP 7. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Timed PHP Compilation 7.4.2 Time To Compile EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 20 40 60 80 100 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.09, N = 3 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.09, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.19, N = 3 SE +/- 0.22, N = 3 SE +/- 0.07, N = 3 45.82 47.86 63.45 45.96 46.18 46.95 47.22 47.62 49.59 48.84 48.93 49.82 50.64 54.65 56.04 58.62 64.67 72.31 76.74 79.22
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed PHP Compilation 7.4.2 Time To Compile EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 15 30 45 60 75 Min: 45.8 / Avg: 45.82 / Max: 45.84 Min: 47.82 / Avg: 47.86 / Max: 47.88 Min: 63.31 / Avg: 63.45 / Max: 63.6 Min: 45.86 / Avg: 45.96 / Max: 46.04 Min: 46.1 / Avg: 46.18 / Max: 46.3 Min: 46.91 / Avg: 46.95 / Max: 47 Min: 47.14 / Avg: 47.22 / Max: 47.29 Min: 47.6 / Avg: 47.62 / Max: 47.65 Min: 49.5 / Avg: 49.59 / Max: 49.74 Min: 48.79 / Avg: 48.84 / Max: 48.9 Min: 48.79 / Avg: 48.93 / Max: 49.03 Min: 49.8 / Avg: 49.82 / Max: 49.86 Min: 50.54 / Avg: 50.64 / Max: 50.72 Min: 54.53 / Avg: 54.65 / Max: 54.82 Min: 55.96 / Avg: 56.04 / Max: 56.12 Min: 58.53 / Avg: 58.62 / Max: 58.68 Min: 64.6 / Avg: 64.67 / Max: 64.79 Min: 71.93 / Avg: 72.31 / Max: 72.57 Min: 76.36 / Avg: 76.74 / Max: 77.12 Min: 79.14 / Avg: 79.22 / Max: 79.35
OCRMyPDF OCRMyPDF is an optical character recognition (OCR) text layer to scanned PDF files, producing new PDFs with the text now selectable/searchable/copy-paste capable. OCRMyPDF leverages the Tesseract OCR engine and is written in Python. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better OCRMyPDF 10.3.1+dfsg Processing 60 Page PDF Document EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 6 12 18 24 30 SE +/- 0.07, N = 3 SE +/- 0.11, N = 3 SE +/- 0.07, N = 3 SE +/- 0.10, N = 3 SE +/- 0.08, N = 3 SE +/- 0.05, N = 3 SE +/- 0.16, N = 3 SE +/- 0.10, N = 3 SE +/- 0.07, N = 3 SE +/- 0.09, N = 3 SE +/- 0.12, N = 3 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.07, N = 3 SE +/- 0.04, N = 3 SE +/- 0.14, N = 3 15.44 16.13 21.45 16.10 15.91 15.87 15.92 15.86 16.65 16.28 16.32 16.79 16.98 18.48 18.92 19.81 21.84 24.63 26.18 26.47
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better OCRMyPDF 10.3.1+dfsg Processing 60 Page PDF Document EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 6 12 18 24 30 Min: 15.31 / Avg: 15.44 / Max: 15.53 Min: 15.95 / Avg: 16.13 / Max: 16.32 Min: 21.38 / Avg: 21.45 / Max: 21.59 Min: 15.99 / Avg: 16.1 / Max: 16.31 Min: 15.78 / Avg: 15.91 / Max: 16.06 Min: 15.77 / Avg: 15.87 / Max: 15.96 Min: 15.62 / Avg: 15.92 / Max: 16.18 Min: 15.72 / Avg: 15.86 / Max: 16.06 Min: 16.55 / Avg: 16.65 / Max: 16.77 Min: 16.15 / Avg: 16.28 / Max: 16.44 Min: 16.1 / Avg: 16.32 / Max: 16.52 Min: 16.72 / Avg: 16.79 / Max: 16.88 Min: 16.83 / Avg: 16.98 / Max: 17.08 Min: 18.4 / Avg: 18.48 / Max: 18.57 Min: 18.88 / Avg: 18.92 / Max: 18.95 Min: 19.75 / Avg: 19.81 / Max: 19.86 Min: 21.75 / Avg: 21.84 / Max: 21.96 Min: 24.56 / Avg: 24.63 / Max: 24.77 Min: 26.12 / Avg: 26.18 / Max: 26.25 Min: 26.32 / Avg: 26.47 / Max: 26.75
Zstd Compression This test measures the time needed to compress a sample file (an Ubuntu ISO) using Zstd compression. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.4.5 Compression Level: 3 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 2K 4K 6K 8K 10K SE +/- 19.00, N = 3 SE +/- 56.37, N = 3 SE +/- 94.23, N = 3 SE +/- 33.91, N = 3 SE +/- 34.11, N = 3 SE +/- 41.92, N = 3 SE +/- 47.55, N = 3 SE +/- 62.39, N = 3 SE +/- 120.12, N = 4 SE +/- 21.22, N = 3 SE +/- 73.24, N = 3 SE +/- 85.19, N = 3 SE +/- 21.95, N = 3 SE +/- 21.51, N = 3 SE +/- 46.59, N = 3 SE +/- 18.60, N = 3 SE +/- 26.82, N = 3 SE +/- 91.17, N = 3 SE +/- 51.10, N = 3 SE +/- 21.13, N = 3 8474.7 8021.9 6299.5 8339.1 8321.8 8485.3 8211.2 7767.9 8078.1 7843.2 7798.1 7704.5 7898.1 7663.0 7464.0 6630.5 6268.0 6043.6 5603.3 4992.3 1. (CC) gcc options: -O3 -pthread -lz -llzma
Result Confidence
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.4.5 Compression Level: 3 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 1500 3000 4500 6000 7500 Min: 8438.3 / Avg: 8474.67 / Max: 8502.4 Min: 7956.8 / Avg: 8021.93 / Max: 8134.2 Min: 6179.4 / Avg: 6299.47 / Max: 6485.3 Min: 8271.3 / Avg: 8339.07 / Max: 8375.2 Min: 8253.7 / Avg: 8321.83 / Max: 8358.7 Min: 8407.9 / Avg: 8485.3 / Max: 8551.9 Min: 8157.2 / Avg: 8211.2 / Max: 8306 Min: 7675.6 / Avg: 7767.93 / Max: 7886.8 Min: 7939.2 / Avg: 8078.13 / Max: 8437.6 Min: 7818.2 / Avg: 7843.2 / Max: 7885.4 Min: 7708.2 / Avg: 7798.1 / Max: 7943.2 Min: 7601.2 / Avg: 7704.5 / Max: 7873.5 Min: 7872.6 / Avg: 7898.1 / Max: 7941.8 Min: 7630 / Avg: 7663 / Max: 7703.4 Min: 7410.3 / Avg: 7464 / Max: 7556.8 Min: 6604.6 / Avg: 6630.53 / Max: 6666.6 Min: 6238.3 / Avg: 6267.97 / Max: 6321.5 Min: 5931.9 / Avg: 6043.63 / Max: 6224.3 Min: 5543.9 / Avg: 5603.27 / Max: 5705 Min: 4963.2 / Avg: 4992.3 / Max: 5033.4 1. (CC) gcc options: -O3 -pthread -lz -llzma
AI Benchmark Alpha AI Benchmark Alpha is a Python library for evaluating artificial intelligence (AI) performance on diverse hardware platforms and relies upon the TensorFlow machine learning library. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Score, More Is Better AI Benchmark Alpha 0.1.2 Device AI Score EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 700 1400 2100 2800 3500 3270 3012 2220 2905 3020 3154 3124 3261 3045 3177 3181 3114 3084 2917 2771 2673 2452 1939 1965 1994
MariaDB This is a MariaDB MySQL database server benchmark making use of mysqlslap. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Queries Per Second, More Is Better MariaDB 10.5.2 Clients: 64 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 300 600 900 1200 1500 SE +/- 0.50, N = 3 SE +/- 2.11, N = 3 SE +/- 4.63, N = 3 SE +/- 1.25, N = 3 SE +/- 3.47, N = 3 SE +/- 1.36, N = 3 SE +/- 1.63, N = 3 SE +/- 1.18, N = 3 SE +/- 1.23, N = 3 SE +/- 1.44, N = 3 SE +/- 0.30, N = 4 SE +/- 2.62, N = 3 SE +/- 0.24, N = 5 SE +/- 1.50, N = 3 SE +/- 1.58, N = 3 SE +/- 0.77, N = 4 SE +/- 0.83, N = 3 SE +/- 3.68, N = 3 SE +/- 2.79, N = 3 SE +/- 8.56, N = 3 1227 1105 876 1021 1015 1086 1060 1155 961 1097 1090 1002 1103 993 1041 1240 1114 743 833 889 1. (CXX) g++ options: -pie -fPIC -fstack-protector -O2 -lpthread -llzma -lbz2 -lsnappy -lnuma -lpcre2-8 -lcrypt -lz -lm -lssl -lcrypto -ldl
Result Confidence
OpenBenchmarking.org Queries Per Second, More Is Better MariaDB 10.5.2 Clients: 64 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 200 400 600 800 1000 Min: 1226.99 / Avg: 1227.5 / Max: 1228.5 Min: 1101.32 / Avg: 1104.98 / Max: 1108.65 Min: 871.84 / Avg: 876.47 / Max: 885.74 Min: 1019.37 / Avg: 1021.11 / Max: 1023.54 Min: 1008.06 / Avg: 1014.91 / Max: 1019.37 Min: 1083.42 / Avg: 1085.78 / Max: 1088.14 Min: 1057.08 / Avg: 1059.7 / Max: 1062.7 Min: 1153.4 / Avg: 1155.18 / Max: 1157.41 Min: 959.69 / Avg: 960.93 / Max: 963.39 Min: 1094.09 / Avg: 1096.9 / Max: 1098.9 Min: 1089.32 / Avg: 1090.22 / Max: 1090.51 Min: 998 / Avg: 1002.35 / Max: 1007.05 Min: 1102.54 / Avg: 1102.78 / Max: 1103.75 Min: 990.1 / Avg: 993.05 / Max: 995.02 Min: 1038.42 / Avg: 1040.95 / Max: 1043.84 Min: 1237.62 / Avg: 1239.93 / Max: 1240.69 Min: 1112.35 / Avg: 1114 / Max: 1114.83 Min: 736.92 / Avg: 742.98 / Max: 749.63 Min: 830.56 / Avg: 833.35 / Max: 838.93 Min: 872.6 / Avg: 888.79 / Max: 901.71 1. (CXX) g++ options: -pie -fPIC -fstack-protector -O2 -lpthread -llzma -lbz2 -lsnappy -lnuma -lpcre2-8 -lcrypt -lz -lm -lssl -lcrypto -ldl
C-Blosc A simple, compressed, fast and persistent data store library for C. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org MB/s, More Is Better C-Blosc 2.0 Beta 5 Compressor: blosclz EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 2K 4K 6K 8K 10K SE +/- 63.84, N = 3 SE +/- 84.62, N = 3 SE +/- 56.43, N = 3 SE +/- 55.27, N = 3 SE +/- 38.94, N = 3 SE +/- 69.06, N = 3 SE +/- 49.67, N = 3 SE +/- 45.72, N = 3 SE +/- 67.32, N = 3 SE +/- 51.03, N = 3 SE +/- 72.87, N = 3 SE +/- 67.10, N = 3 SE +/- 75.43, N = 3 SE +/- 59.36, N = 3 SE +/- 74.06, N = 3 SE +/- 22.62, N = 3 SE +/- 31.67, N = 3 SE +/- 19.99, N = 3 SE +/- 38.69, N = 3 SE +/- 9.98, N = 3 9851.8 10471.3 10244.2 6319.4 6361.2 7229.5 7149.7 8456.8 8415.7 8367.0 8254.8 8193.8 8962.6 8470.3 9507.9 8883.6 9002.0 9816.4 8906.2 9011.8 1. (CXX) g++ options: -rdynamic
Result Confidence
OpenBenchmarking.org MB/s, More Is Better C-Blosc 2.0 Beta 5 Compressor: blosclz EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 2K 4K 6K 8K 10K Min: 9769.2 / Avg: 9851.77 / Max: 9977.4 Min: 10350.7 / Avg: 10471.27 / Max: 10634.4 Min: 10164 / Avg: 10244.23 / Max: 10353.1 Min: 6256.4 / Avg: 6319.43 / Max: 6429.6 Min: 6314.4 / Avg: 6361.2 / Max: 6438.5 Min: 7104.2 / Avg: 7229.47 / Max: 7342.5 Min: 7055.1 / Avg: 7149.67 / Max: 7223.3 Min: 8399.3 / Avg: 8456.77 / Max: 8547.1 Min: 8327.9 / Avg: 8415.7 / Max: 8548 Min: 8286.7 / Avg: 8366.97 / Max: 8461.7 Min: 8159.2 / Avg: 8254.83 / Max: 8397.9 Min: 8080 / Avg: 8193.77 / Max: 8312.3 Min: 8857.8 / Avg: 8962.63 / Max: 9109 Min: 8388.4 / Avg: 8470.33 / Max: 8585.7 Min: 9415.7 / Avg: 9507.9 / Max: 9654.4 Min: 8858.7 / Avg: 8883.63 / Max: 8928.8 Min: 8939.4 / Avg: 9002.03 / Max: 9041.5 Min: 9795.6 / Avg: 9816.43 / Max: 9856.4 Min: 8829.1 / Avg: 8906.2 / Max: 8950.5 Min: 8991.8 / Avg: 9011.77 / Max: 9021.9 1. (CXX) g++ options: -rdynamic
XZ Compression This test measures the time needed to compress a sample file (an Ubuntu file-system image) using XZ compression. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better XZ Compression 5.2.4 Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 8 16 24 32 40 SE +/- 0.08, N = 3 SE +/- 0.08, N = 3 SE +/- 0.08, N = 3 SE +/- 0.10, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.08, N = 3 SE +/- 0.07, N = 3 SE +/- 0.14, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.07, N = 3 SE +/- 0.09, N = 3 SE +/- 0.12, N = 3 SE +/- 0.15, N = 3 SE +/- 0.08, N = 3 SE +/- 0.16, N = 3 SE +/- 0.10, N = 3 21.71 21.12 30.46 22.09 21.84 21.89 22.52 22.45 22.44 22.56 22.50 22.62 22.50 23.54 22.99 24.49 26.16 32.94 34.04 34.95 1. (CC) gcc options: -pthread -fvisibility=hidden -O2
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better XZ Compression 5.2.4 Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 7 14 21 28 35 Min: 21.62 / Avg: 21.71 / Max: 21.87 Min: 20.98 / Avg: 21.12 / Max: 21.25 Min: 30.32 / Avg: 30.46 / Max: 30.59 Min: 21.93 / Avg: 22.09 / Max: 22.28 Min: 21.78 / Avg: 21.84 / Max: 21.91 Min: 21.8 / Avg: 21.89 / Max: 22.01 Min: 22.4 / Avg: 22.52 / Max: 22.67 Min: 22.36 / Avg: 22.45 / Max: 22.59 Min: 22.27 / Avg: 22.44 / Max: 22.73 Min: 22.52 / Avg: 22.56 / Max: 22.59 Min: 22.42 / Avg: 22.5 / Max: 22.59 Min: 22.57 / Avg: 22.62 / Max: 22.72 Min: 22.46 / Avg: 22.5 / Max: 22.57 Min: 23.46 / Avg: 23.54 / Max: 23.67 Min: 22.8 / Avg: 22.99 / Max: 23.09 Min: 24.37 / Avg: 24.49 / Max: 24.73 Min: 25.92 / Avg: 26.16 / Max: 26.43 Min: 32.82 / Avg: 32.94 / Max: 33.1 Min: 33.76 / Avg: 34.04 / Max: 34.3 Min: 34.83 / Avg: 34.95 / Max: 35.15 1. (CC) gcc options: -pthread -fvisibility=hidden -O2
LULESH LULESH is the Livermore Unstructured Lagrangian Explicit Shock Hydrodynamics. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org z/s, More Is Better LULESH 2.0.3 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 SE +/- 0.0065112, N = 3 SE +/- 0.0017475, N = 3 SE +/- 0.0121655, N = 3 SE +/- 0.0024663, N = 3 SE +/- 0.0033424, N = 3 SE +/- 0.0011629, N = 3 SE +/- 0.0010920, N = 3 SE +/- 0.0005818, N = 3 SE +/- 0.0009813, N = 3 SE +/- 0.0018526, N = 3 SE +/- 0.0000619, N = 3 SE +/- 0.0003677, N = 3 SE +/- 0.0002745, N = 3 SE +/- 0.0031335, N = 3 SE +/- 0.0059694, N = 3 SE +/- 0.0043546, N = 3 SE +/- 0.0051250, N = 3 SE +/- 0.1052585, N = 15 SE +/- 0.0080390, N = 3 SE +/- 0.1578188, N = 3 8.6221570 9.2130346 9.5929839 7.4761666 7.5164994 7.4229073 7.3683532 7.7384578 7.5875978 7.6937696 7.6941152 7.5321392 7.8200074 7.1588623 7.9071273 7.7021942 7.7575322 10.9138750 8.2625257 11.8314800 1. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi
Result Confidence
OpenBenchmarking.org z/s, More Is Better LULESH 2.0.3 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 Min: 8.62 / Avg: 8.62 / Max: 8.64 Min: 9.21 / Avg: 9.21 / Max: 9.22 Min: 9.57 / Avg: 9.59 / Max: 9.62 Min: 7.47 / Avg: 7.48 / Max: 7.48 Min: 7.51 / Avg: 7.52 / Max: 7.52 Min: 7.42 / Avg: 7.42 / Max: 7.43 Min: 7.37 / Avg: 7.37 / Max: 7.37 Min: 7.74 / Avg: 7.74 / Max: 7.74 Min: 7.59 / Avg: 7.59 / Max: 7.59 Min: 7.69 / Avg: 7.69 / Max: 7.7 Min: 7.69 / Avg: 7.69 / Max: 7.69 Min: 7.53 / Avg: 7.53 / Max: 7.53 Min: 7.82 / Avg: 7.82 / Max: 7.82 Min: 7.15 / Avg: 7.16 / Max: 7.16 Min: 7.9 / Avg: 7.91 / Max: 7.92 Min: 7.7 / Avg: 7.7 / Max: 7.71 Min: 7.75 / Avg: 7.76 / Max: 7.77 Min: 10.14 / Avg: 10.91 / Max: 11.48 Min: 8.25 / Avg: 8.26 / Max: 8.27 Min: 11.56 / Avg: 11.83 / Max: 12.1 1. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi
PostgreSQL pgbench This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1000 - Clients: 50 - Mode: Read Write EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 6K 12K 18K 24K 30K SE +/- 64.18, N = 3 SE +/- 72.55, N = 3 SE +/- 107.90, N = 3 SE +/- 87.51, N = 3 SE +/- 145.91, N = 3 SE +/- 73.41, N = 3 SE +/- 56.11, N = 3 SE +/- 181.28, N = 3 SE +/- 43.10, N = 3 SE +/- 109.61, N = 3 SE +/- 86.74, N = 3 SE +/- 72.06, N = 3 SE +/- 15.63, N = 3 SE +/- 61.43, N = 3 SE +/- 20.70, N = 3 SE +/- 44.63, N = 3 SE +/- 97.96, N = 3 SE +/- 75.97, N = 3 SE +/- 100.89, N = 3 SE +/- 47.49, N = 3 22796 24704 17355 27291 25160 24336 25563 24881 22128 24192 24286 22607 22254 22124 22463 24590 23297 16534 19373 19021 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result Confidence
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1000 - Clients: 50 - Mode: Read Write EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 5K 10K 15K 20K 25K Min: 22691.26 / Avg: 22795.6 / Max: 22912.51 Min: 24560.91 / Avg: 24703.66 / Max: 24797.53 Min: 17168.07 / Avg: 17355.07 / Max: 17541.86 Min: 27122.42 / Avg: 27290.81 / Max: 27416.33 Min: 24878.09 / Avg: 25160.16 / Max: 25366 Min: 24218.24 / Avg: 24335.92 / Max: 24470.79 Min: 25457.36 / Avg: 25562.69 / Max: 25648.86 Min: 24567.9 / Avg: 24881.03 / Max: 25195.86 Min: 22045.04 / Avg: 22127.67 / Max: 22190.26 Min: 24059.94 / Avg: 24191.65 / Max: 24409.26 Min: 24138.58 / Avg: 24285.77 / Max: 24438.88 Min: 22463.24 / Avg: 22606.6 / Max: 22691.08 Min: 22230.64 / Avg: 22254.24 / Max: 22283.78 Min: 22014.04 / Avg: 22124.27 / Max: 22226.37 Min: 22428.64 / Avg: 22463.42 / Max: 22500.27 Min: 24500.86 / Avg: 24589.57 / Max: 24642.44 Min: 23109.48 / Avg: 23296.72 / Max: 23440.29 Min: 16433.25 / Avg: 16534.17 / Max: 16683 Min: 19243.58 / Avg: 19373.27 / Max: 19571.98 Min: 18944.83 / Avg: 19021.17 / Max: 19108.28 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1000 - Clients: 50 - Mode: Read Write - Average Latency EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 0.6806 1.3612 2.0418 2.7224 3.403 SE +/- 0.006, N = 3 SE +/- 0.006, N = 3 SE +/- 0.018, N = 3 SE +/- 0.006, N = 3 SE +/- 0.012, N = 3 SE +/- 0.006, N = 3 SE +/- 0.004, N = 3 SE +/- 0.015, N = 3 SE +/- 0.004, N = 3 SE +/- 0.009, N = 3 SE +/- 0.007, N = 3 SE +/- 0.007, N = 3 SE +/- 0.001, N = 3 SE +/- 0.006, N = 3 SE +/- 0.002, N = 3 SE +/- 0.004, N = 3 SE +/- 0.009, N = 3 SE +/- 0.014, N = 3 SE +/- 0.014, N = 3 SE +/- 0.007, N = 3 2.194 2.025 2.882 1.833 1.988 2.055 1.957 2.010 2.260 2.068 2.060 2.213 2.248 2.261 2.227 2.034 2.147 3.025 2.582 2.629 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1000 - Clients: 50 - Mode: Read Write - Average Latency EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 2 4 6 8 10 Min: 2.18 / Avg: 2.19 / Max: 2.2 Min: 2.02 / Avg: 2.02 / Max: 2.04 Min: 2.85 / Avg: 2.88 / Max: 2.91 Min: 1.82 / Avg: 1.83 / Max: 1.84 Min: 1.97 / Avg: 1.99 / Max: 2.01 Min: 2.04 / Avg: 2.06 / Max: 2.07 Min: 1.95 / Avg: 1.96 / Max: 1.97 Min: 1.99 / Avg: 2.01 / Max: 2.04 Min: 2.25 / Avg: 2.26 / Max: 2.27 Min: 2.05 / Avg: 2.07 / Max: 2.08 Min: 2.05 / Avg: 2.06 / Max: 2.07 Min: 2.2 / Avg: 2.21 / Max: 2.23 Min: 2.25 / Avg: 2.25 / Max: 2.25 Min: 2.25 / Avg: 2.26 / Max: 2.27 Min: 2.22 / Avg: 2.23 / Max: 2.23 Min: 2.03 / Avg: 2.03 / Max: 2.04 Min: 2.13 / Avg: 2.15 / Max: 2.16 Min: 3 / Avg: 3.03 / Max: 3.04 Min: 2.56 / Avg: 2.58 / Max: 2.6 Min: 2.62 / Avg: 2.63 / Max: 2.64 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
MariaDB This is a MariaDB MySQL database server benchmark making use of mysqlslap. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Queries Per Second, More Is Better MariaDB 10.5.2 Clients: 16 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 1400 2800 4200 5600 7000 SE +/- 22.84, N = 3 SE +/- 13.44, N = 3 SE +/- 7.11, N = 3 SE +/- 16.34, N = 3 SE +/- 23.78, N = 3 SE +/- 10.70, N = 3 SE +/- 10.23, N = 3 SE +/- 11.74, N = 3 SE +/- 9.90, N = 3 SE +/- 10.82, N = 3 SE +/- 10.70, N = 3 SE +/- 17.05, N = 3 SE +/- 10.46, N = 3 SE +/- 9.00, N = 3 SE +/- 9.79, N = 3 SE +/- 12.17, N = 3 SE +/- 16.34, N = 3 SE +/- 8.67, N = 3 SE +/- 10.37, N = 3 SE +/- 13.17, N = 3 6289 6343 4615 5319 5200 5671 5535 5941 5445 5703 5660 5435 5608 5199 5425 6048 5319 3876 4237 4438 1. (CXX) g++ options: -pie -fPIC -fstack-protector -O2 -lpthread -llzma -lbz2 -lsnappy -lnuma -lpcre2-8 -lcrypt -lz -lm -lssl -lcrypto -ldl
Result Confidence
OpenBenchmarking.org Queries Per Second, More Is Better MariaDB 10.5.2 Clients: 16 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 1100 2200 3300 4400 5500 Min: 6250 / Avg: 6289.47 / Max: 6329.11 Min: 6329.11 / Avg: 6342.55 / Max: 6369.43 Min: 4608.29 / Avg: 4615.41 / Max: 4629.63 Min: 5291.01 / Avg: 5319.25 / Max: 5347.59 Min: 5154.64 / Avg: 5199.52 / Max: 5235.6 Min: 5649.72 / Avg: 5671.12 / Max: 5681.82 Min: 5524.86 / Avg: 5535.09 / Max: 5555.56 Min: 5917.16 / Avg: 5940.64 / Max: 5952.38 Min: 5434.78 / Avg: 5444.68 / Max: 5464.48 Min: 5681.82 / Avg: 5703.46 / Max: 5714.29 Min: 5649.72 / Avg: 5660.42 / Max: 5681.82 Min: 5405.41 / Avg: 5434.89 / Max: 5464.48 Min: 5586.59 / Avg: 5607.52 / Max: 5617.98 Min: 5181.35 / Avg: 5199.34 / Max: 5208.33 Min: 5405.41 / Avg: 5424.99 / Max: 5434.78 Min: 6024.1 / Avg: 6048.44 / Max: 6060.61 Min: 5291.01 / Avg: 5319.25 / Max: 5347.59 Min: 3861 / Avg: 3876.01 / Max: 3891.05 Min: 4219.41 / Avg: 4237.34 / Max: 4255.32 Min: 4424.78 / Avg: 4437.95 / Max: 4464.29 1. (CXX) g++ options: -pie -fPIC -fstack-protector -O2 -lpthread -llzma -lbz2 -lsnappy -lnuma -lpcre2-8 -lcrypt -lz -lm -lssl -lcrypto -ldl
x265 This is a simple test of the x265 encoder run on the CPU with a sample 1080p video file. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better x265 3.1.2 H.265 1080p Video Encoding EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 14 28 42 56 70 SE +/- 0.22, N = 3 SE +/- 0.15, N = 3 SE +/- 0.27, N = 3 SE +/- 0.19, N = 3 SE +/- 0.20, N = 3 SE +/- 0.20, N = 3 SE +/- 0.17, N = 3 SE +/- 0.20, N = 3 SE +/- 0.21, N = 3 SE +/- 0.16, N = 3 SE +/- 0.08, N = 3 SE +/- 0.10, N = 3 SE +/- 0.06, N = 3 SE +/- 0.07, N = 3 SE +/- 0.14, N = 3 SE +/- 0.19, N = 3 SE +/- 0.17, N = 3 SE +/- 0.09, N = 3 SE +/- 0.37, N = 3 SE +/- 0.04, N = 3 61.69 61.96 47.12 47.36 47.76 48.97 48.81 52.50 48.40 49.53 49.28 48.90 51.07 46.49 50.25 49.38 46.60 40.39 38.71 38.59 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better x265 3.1.2 H.265 1080p Video Encoding EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 12 24 36 48 60 Min: 61.33 / Avg: 61.69 / Max: 62.09 Min: 61.73 / Avg: 61.96 / Max: 62.25 Min: 46.64 / Avg: 47.12 / Max: 47.59 Min: 47.1 / Avg: 47.36 / Max: 47.72 Min: 47.4 / Avg: 47.76 / Max: 48.09 Min: 48.6 / Avg: 48.97 / Max: 49.3 Min: 48.52 / Avg: 48.81 / Max: 49.11 Min: 52.25 / Avg: 52.5 / Max: 52.9 Min: 48.01 / Avg: 48.4 / Max: 48.72 Min: 49.3 / Avg: 49.53 / Max: 49.85 Min: 49.16 / Avg: 49.28 / Max: 49.44 Min: 48.74 / Avg: 48.9 / Max: 49.08 Min: 51 / Avg: 51.07 / Max: 51.18 Min: 46.36 / Avg: 46.49 / Max: 46.6 Min: 50.1 / Avg: 50.25 / Max: 50.53 Min: 49.02 / Avg: 49.38 / Max: 49.67 Min: 46.28 / Avg: 46.6 / Max: 46.88 Min: 40.24 / Avg: 40.39 / Max: 40.54 Min: 37.98 / Avg: 38.71 / Max: 39.2 Min: 38.52 / Avg: 38.59 / Max: 38.66 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
Result
OpenBenchmarking.org Frames Per Second, More Is Better x265 3.4 Video Input: Bosphorus 1080p EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 13 26 39 52 65 SE +/- 0.13, N = 3 SE +/- 0.68, N = 3 SE +/- 0.25, N = 3 SE +/- 0.17, N = 3 SE +/- 0.06, N = 3 SE +/- 0.12, N = 3 SE +/- 0.16, N = 3 SE +/- 0.06, N = 3 SE +/- 0.15, N = 3 SE +/- 0.06, N = 3 SE +/- 0.09, N = 3 SE +/- 0.14, N = 3 SE +/- 0.15, N = 3 SE +/- 0.11, N = 3 SE +/- 0.10, N = 3 SE +/- 0.25, N = 3 SE +/- 0.31, N = 3 SE +/- 0.09, N = 3 SE +/- 0.22, N = 3 60.10 46.25 47.04 47.29 47.91 48.42 51.25 47.41 48.62 48.43 48.18 50.06 46.48 48.64 47.76 46.17 39.72 37.92 37.45 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better x265 3.4 Video Input: Bosphorus 1080p EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 12 24 36 48 60 Min: 59.89 / Avg: 60.1 / Max: 60.35 Min: 45.22 / Avg: 46.25 / Max: 47.52 Min: 46.56 / Avg: 47.04 / Max: 47.4 Min: 46.94 / Avg: 47.29 / Max: 47.49 Min: 47.82 / Avg: 47.91 / Max: 48.03 Min: 48.22 / Avg: 48.42 / Max: 48.64 Min: 50.96 / Avg: 51.25 / Max: 51.53 Min: 47.31 / Avg: 47.41 / Max: 47.53 Min: 48.35 / Avg: 48.62 / Max: 48.86 Min: 48.32 / Avg: 48.43 / Max: 48.49 Min: 48.01 / Avg: 48.18 / Max: 48.3 Min: 49.8 / Avg: 50.06 / Max: 50.28 Min: 46.29 / Avg: 46.48 / Max: 46.78 Min: 48.42 / Avg: 48.64 / Max: 48.79 Min: 47.56 / Avg: 47.76 / Max: 47.91 Min: 45.74 / Avg: 46.17 / Max: 46.61 Min: 39.28 / Avg: 39.72 / Max: 40.31 Min: 37.75 / Avg: 37.92 / Max: 38.03 Min: 37.05 / Avg: 37.45 / Max: 37.82 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
Mlpack Benchmark Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_qda EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 12 24 36 48 60 SE +/- 0.63, N = 4 SE +/- 0.36, N = 3 SE +/- 0.07, N = 3 SE +/- 0.59, N = 3 SE +/- 0.25, N = 3 SE +/- 0.29, N = 3 SE +/- 0.45, N = 3 SE +/- 0.69, N = 5 SE +/- 0.32, N = 3 SE +/- 0.16, N = 3 SE +/- 0.52, N = 3 SE +/- 0.72, N = 13 SE +/- 0.46, N = 3 SE +/- 0.32, N = 3 SE +/- 0.17, N = 3 SE +/- 0.29, N = 3 SE +/- 0.56, N = 3 SE +/- 0.53, N = 3 SE +/- 0.41, N = 3 SE +/- 0.10, N = 3 43.04 34.19 43.80 39.09 37.63 40.55 43.44 51.37 44.73 46.62 52.80 53.59 47.22 49.89 41.93 51.62 52.38 47.35 53.94 54.74
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_qda EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 11 22 33 44 55 Min: 41.75 / Avg: 43.04 / Max: 44.74 Min: 33.77 / Avg: 34.19 / Max: 34.92 Min: 43.68 / Avg: 43.8 / Max: 43.92 Min: 38.42 / Avg: 39.09 / Max: 40.26 Min: 37.26 / Avg: 37.63 / Max: 38.09 Min: 40.06 / Avg: 40.55 / Max: 41.07 Min: 42.62 / Avg: 43.44 / Max: 44.16 Min: 49.55 / Avg: 51.37 / Max: 53.43 Min: 44.1 / Avg: 44.73 / Max: 45.17 Min: 46.43 / Avg: 46.62 / Max: 46.93 Min: 51.87 / Avg: 52.8 / Max: 53.67 Min: 46.74 / Avg: 53.59 / Max: 57.7 Min: 46.51 / Avg: 47.22 / Max: 48.09 Min: 49.33 / Avg: 49.89 / Max: 50.44 Min: 41.6 / Avg: 41.93 / Max: 42.12 Min: 51.09 / Avg: 51.62 / Max: 52.07 Min: 51.61 / Avg: 52.38 / Max: 53.46 Min: 46.51 / Avg: 47.35 / Max: 48.33 Min: 53.23 / Avg: 53.94 / Max: 54.63 Min: 54.55 / Avg: 54.74 / Max: 54.9
DaCapo Benchmark This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 9.12-MR1 Java Test: Tradebeans EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 1600 3200 4800 6400 8000 SE +/- 13.19, N = 4 SE +/- 34.74, N = 4 SE +/- 27.00, N = 4 SE +/- 16.56, N = 4 SE +/- 37.54, N = 4 SE +/- 33.92, N = 4 SE +/- 54.16, N = 4 SE +/- 46.36, N = 4 SE +/- 36.18, N = 4 SE +/- 24.99, N = 4 SE +/- 31.28, N = 4 SE +/- 20.46, N = 4 SE +/- 42.04, N = 4 SE +/- 61.44, N = 4 SE +/- 14.21, N = 4 SE +/- 46.47, N = 4 SE +/- 49.93, N = 4 SE +/- 24.61, N = 4 SE +/- 67.27, N = 4 SE +/- 23.71, N = 4 5216 5461 4686 7407 7288 7391 7217 7069 7470 7038 7075 7035 7211 7227 7242 6581 5998 5924 5292 5516
Result Confidence
OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 9.12-MR1 Java Test: Tradebeans EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 1300 2600 3900 5200 6500 Min: 5179 / Avg: 5215.5 / Max: 5240 Min: 5376 / Avg: 5461.25 / Max: 5526 Min: 4611 / Avg: 4685.5 / Max: 4733 Min: 7374 / Avg: 7406.5 / Max: 7446 Min: 7188 / Avg: 7287.5 / Max: 7348 Min: 7328 / Avg: 7390.5 / Max: 7469 Min: 7119 / Avg: 7217.25 / Max: 7313 Min: 6961 / Avg: 7069.25 / Max: 7164 Min: 7396 / Avg: 7470.25 / Max: 7545 Min: 6980 / Avg: 7037.75 / Max: 7095 Min: 6986 / Avg: 7074.5 / Max: 7123 Min: 6980 / Avg: 7034.5 / Max: 7075 Min: 7118 / Avg: 7211 / Max: 7313 Min: 7055 / Avg: 7226.5 / Max: 7343 Min: 7204 / Avg: 7241.75 / Max: 7269 Min: 6450 / Avg: 6581.25 / Max: 6666 Min: 5871 / Avg: 5998.25 / Max: 6100 Min: 5879 / Avg: 5923.75 / Max: 5990 Min: 5161 / Avg: 5291.5 / Max: 5472 Min: 5452 / Avg: 5516.25 / Max: 5566
Tungsten Renderer Tungsten is a C++ physically based renderer that makes use of Intel's Embree ray tracing library. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Tungsten Renderer 0.2.2 Scene: Water Caustic EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 8 16 24 32 40 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.20, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.20, N = 3 SE +/- 0.16, N = 3 SE +/- 0.30, N = 3 20.70 21.38 27.72 20.77 20.83 21.28 21.23 21.33 22.32 21.74 21.71 22.12 22.41 24.35 24.59 25.14 28.87 31.37 32.82 32.31 1. (CXX) g++ options: -std=c++0x -march=znver1 -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Tungsten Renderer 0.2.2 Scene: Water Caustic EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 7 14 21 28 35 Min: 20.68 / Avg: 20.7 / Max: 20.74 Min: 21.28 / Avg: 21.38 / Max: 21.49 Min: 27.48 / Avg: 27.72 / Max: 28.1 Min: 20.7 / Avg: 20.77 / Max: 20.81 Min: 20.75 / Avg: 20.83 / Max: 20.92 Min: 21.27 / Avg: 21.28 / Max: 21.3 Min: 21.2 / Avg: 21.23 / Max: 21.29 Min: 21.26 / Avg: 21.33 / Max: 21.41 Min: 22.3 / Avg: 22.32 / Max: 22.34 Min: 21.72 / Avg: 21.74 / Max: 21.76 Min: 21.65 / Avg: 21.71 / Max: 21.74 Min: 22.1 / Avg: 22.12 / Max: 22.15 Min: 22.37 / Avg: 22.41 / Max: 22.44 Min: 24.3 / Avg: 24.35 / Max: 24.4 Min: 24.47 / Avg: 24.59 / Max: 24.66 Min: 25.11 / Avg: 25.14 / Max: 25.18 Min: 28.83 / Avg: 28.87 / Max: 28.91 Min: 30.97 / Avg: 31.37 / Max: 31.63 Min: 32.56 / Avg: 32.82 / Max: 33.12 Min: 31.9 / Avg: 32.31 / Max: 32.89 1. (CXX) g++ options: -std=c++0x -march=znver1 -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl
Perl Benchmarks Perl benchmark suite that can be used to compare the relative speed of different versions of perl. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Perl Benchmarks Test: Interpreter EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 0.0003 0.0006 0.0009 0.0012 0.0015 SE +/- 0.00001130, N = 3 SE +/- 0.00000247, N = 3 SE +/- 0.00000094, N = 3 SE +/- 0.00001189, N = 15 SE +/- 0.00000843, N = 3 SE +/- 0.00000704, N = 3 SE +/- 0.00000492, N = 3 SE +/- 0.00001457, N = 4 SE +/- 0.00001716, N = 3 SE +/- 0.00000873, N = 3 SE +/- 0.00001145, N = 3 SE +/- 0.00000997, N = 3 SE +/- 0.00000929, N = 3 SE +/- 0.00001515, N = 4 SE +/- 0.00000590, N = 3 SE +/- 0.00001218, N = 3 SE +/- 0.00002074, N = 15 SE +/- 0.00001635, N = 3 SE +/- 0.00000634, N = 3 SE +/- 0.00000638, N = 3 0.00088316 0.00083164 0.00089156 0.00106825 0.00100578 0.00101967 0.00102449 0.00100704 0.00105341 0.00101088 0.00102829 0.00099397 0.00099951 0.00114026 0.00100912 0.00102628 0.00124568 0.00112597 0.00131517 0.00103515
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Perl Benchmarks Test: Interpreter EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 1 2 3 4 5 Min: 0 / Avg: 0 / Max: 0 Min: 0 / Avg: 0 / Max: 0 Min: 0 / Avg: 0 / Max: 0 Min: 0 / Avg: 0 / Max: 0 Min: 0 / Avg: 0 / Max: 0 Min: 0 / Avg: 0 / Max: 0 Min: 0 / Avg: 0 / Max: 0 Min: 0 / Avg: 0 / Max: 0 Min: 0 / Avg: 0 / Max: 0 Min: 0 / Avg: 0 / Max: 0 Min: 0 / Avg: 0 / Max: 0 Min: 0 / Avg: 0 / Max: 0 Min: 0 / Avg: 0 / Max: 0 Min: 0 / Avg: 0 / Max: 0 Min: 0 / Avg: 0 / Max: 0 Min: 0 / Avg: 0 / Max: 0 Min: 0 / Avg: 0 / Max: 0 Min: 0 / Avg: 0 / Max: 0 Min: 0 / Avg: 0 / Max: 0 Min: 0 / Avg: 0 / Max: 0
AI Benchmark Alpha AI Benchmark Alpha is a Python library for evaluating artificial intelligence (AI) performance on diverse hardware platforms and relies upon the TensorFlow machine learning library. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Score, More Is Better AI Benchmark Alpha 0.1.2 Device Training Score EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 300 600 900 1200 1500 1439 1354 1044 1062 1108 1226 1216 1355 1249 1319 1320 1303 1338 1279 1269 1251 1184 910 949 974
GraphicsMagick This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.33 Operation: HWB Color Space EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 300 600 900 1200 1500 SE +/- 6.36, N = 3 SE +/- 0.88, N = 3 SE +/- 1.73, N = 3 SE +/- 3.51, N = 3 SE +/- 6.08, N = 3 SE +/- 3.06, N = 3 SE +/- 7.84, N = 3 SE +/- 1.53, N = 3 SE +/- 5.51, N = 3 SE +/- 2.89, N = 3 SE +/- 5.20, N = 3 SE +/- 4.37, N = 3 SE +/- 1.86, N = 3 SE +/- 0.67, N = 3 SE +/- 1.20, N = 3 1142 1112 897 1138 1211 1177 1139 1204 1111 1264 1203 1165 1150 1002 1140 1045 908 853 800 831 1. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
Result Confidence
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.33 Operation: HWB Color Space EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 200 400 600 800 1000 Min: 1129 / Avg: 1141.67 / Max: 1149 Min: 1110 / Avg: 1111.67 / Max: 1113 Min: 894 / Avg: 897 / Max: 900 Min: 1131 / Avg: 1138 / Max: 1142 Min: 1200 / Avg: 1211 / Max: 1221 Min: 1171 / Avg: 1177 / Max: 1181 Min: 1131 / Avg: 1139.33 / Max: 1155 Min: 1202 / Avg: 1204 / Max: 1207 Min: 1101 / Avg: 1111 / Max: 1120 Min: 1259 / Avg: 1264 / Max: 1269 Min: 1194 / Avg: 1203 / Max: 1212 Min: 1156 / Avg: 1164.67 / Max: 1170 Min: 1136 / Avg: 1139.67 / Max: 1142 Min: 1044 / Avg: 1044.67 / Max: 1046 Min: 906 / Avg: 908.33 / Max: 910 1. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
Mobile Neural Network MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by ALibaba. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: resnet-v2-50 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 10 20 30 40 50 SE +/- 0.50, N = 15 SE +/- 0.10, N = 15 SE +/- 0.20, N = 3 SE +/- 0.27, N = 12 SE +/- 0.18, N = 15 SE +/- 0.52, N = 3 SE +/- 0.20, N = 15 SE +/- 0.09, N = 12 SE +/- 0.23, N = 15 SE +/- 0.02, N = 3 SE +/- 0.08, N = 12 SE +/- 0.13, N = 15 SE +/- 0.34, N = 15 SE +/- 0.52, N = 15 SE +/- 0.20, N = 3 SE +/- 0.35, N = 3 SE +/- 0.09, N = 12 SE +/- 0.34, N = 3 SE +/- 0.29, N = 3 SE +/- 0.21, N = 12 33.21 35.13 37.04 35.87 30.09 29.88 32.38 28.86 29.99 30.26 30.49 30.04 35.49 37.37 40.76 40.11 43.62 41.01 45.16 45.29 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: resnet-v2-50 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 9 18 27 36 45 Min: 30.33 / Avg: 33.21 / Max: 36.17 Min: 34.59 / Avg: 35.13 / Max: 35.77 Min: 36.82 / Avg: 37.04 / Max: 37.43 Min: 34.52 / Avg: 35.87 / Max: 37.57 Min: 29.38 / Avg: 30.09 / Max: 31.43 Min: 29.32 / Avg: 29.88 / Max: 30.92 Min: 31.46 / Avg: 32.38 / Max: 33.54 Min: 28.2 / Avg: 28.86 / Max: 29.24 Min: 28.55 / Avg: 29.99 / Max: 31.88 Min: 30.23 / Avg: 30.26 / Max: 30.3 Min: 30.13 / Avg: 30.49 / Max: 30.89 Min: 29.11 / Avg: 30.04 / Max: 30.8 Min: 33.3 / Avg: 35.49 / Max: 37.55 Min: 33.73 / Avg: 37.37 / Max: 40.26 Min: 40.4 / Avg: 40.76 / Max: 41.09 Min: 39.57 / Avg: 40.11 / Max: 40.76 Min: 42.99 / Avg: 43.62 / Max: 44.1 Min: 40.35 / Avg: 41.01 / Max: 41.47 Min: 44.79 / Avg: 45.16 / Max: 45.73 Min: 44.17 / Avg: 45.29 / Max: 46.55 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
PostgreSQL pgbench This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 50 - Mode: Read Write - Average Latency EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 4 8 12 16 20 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 SE +/- 0.06, N = 3 11.24 12.42 13.37 14.85 15.28 14.81 14.79 14.87 16.02 14.89 14.88 15.04 15.89 16.15 16.80 15.29 14.76 17.38 14.95 15.49 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 50 - Mode: Read Write - Average Latency EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 4 8 12 16 20 Min: 11.24 / Avg: 11.24 / Max: 11.25 Min: 12.37 / Avg: 12.41 / Max: 12.44 Min: 13.31 / Avg: 13.37 / Max: 13.42 Min: 14.76 / Avg: 14.85 / Max: 14.97 Min: 15.2 / Avg: 15.28 / Max: 15.33 Min: 14.8 / Avg: 14.81 / Max: 14.83 Min: 14.77 / Avg: 14.79 / Max: 14.81 Min: 14.83 / Avg: 14.87 / Max: 14.9 Min: 15.91 / Avg: 16.02 / Max: 16.14 Min: 14.81 / Avg: 14.89 / Max: 15 Min: 14.81 / Avg: 14.88 / Max: 15.01 Min: 14.95 / Avg: 15.04 / Max: 15.1 Min: 15.84 / Avg: 15.89 / Max: 15.98 Min: 16.1 / Avg: 16.15 / Max: 16.17 Min: 16.74 / Avg: 16.8 / Max: 16.86 Min: 15.28 / Avg: 15.29 / Max: 15.3 Min: 14.73 / Avg: 14.75 / Max: 14.78 Min: 17.33 / Avg: 17.38 / Max: 17.42 Min: 14.83 / Avg: 14.95 / Max: 15.07 Min: 15.38 / Avg: 15.49 / Max: 15.55 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 50 - Mode: Read Write EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 1000 2000 3000 4000 5000 SE +/- 1.31, N = 3 SE +/- 7.15, N = 3 SE +/- 9.36, N = 3 SE +/- 14.10, N = 3 SE +/- 9.37, N = 3 SE +/- 2.06, N = 3 SE +/- 2.04, N = 3 SE +/- 4.85, N = 3 SE +/- 13.12, N = 3 SE +/- 12.34, N = 3 SE +/- 15.04, N = 3 SE +/- 10.25, N = 3 SE +/- 8.90, N = 3 SE +/- 4.65, N = 3 SE +/- 6.14, N = 3 SE +/- 1.63, N = 3 SE +/- 3.23, N = 3 SE +/- 4.01, N = 3 SE +/- 15.99, N = 3 SE +/- 11.57, N = 3 4449 4029 3741 3368 3273 3377 3382 3364 3123 3358 3362 3327 3147 3098 2977 3272 3390 2878 3346 3230 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result Confidence
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 50 - Mode: Read Write EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 800 1600 2400 3200 4000 Min: 4446.99 / Avg: 4449.47 / Max: 4451.42 Min: 4020.68 / Avg: 4028.65 / Max: 4042.93 Min: 3725.9 / Avg: 3740.97 / Max: 3758.14 Min: 3341.38 / Avg: 3367.51 / Max: 3389.77 Min: 3262.47 / Avg: 3273.27 / Max: 3291.93 Min: 3373.11 / Avg: 3376.68 / Max: 3380.25 Min: 3378.64 / Avg: 3382.28 / Max: 3385.69 Min: 3356.73 / Avg: 3364.45 / Max: 3373.4 Min: 3098.75 / Avg: 3122.83 / Max: 3143.89 Min: 3335.68 / Avg: 3358.5 / Max: 3378.07 Min: 3332 / Avg: 3362.06 / Max: 3378.15 Min: 3313.45 / Avg: 3326.77 / Max: 3346.92 Min: 3129.71 / Avg: 3147.27 / Max: 3158.56 Min: 3093.05 / Avg: 3098.13 / Max: 3107.42 Min: 2967.51 / Avg: 2977.32 / Max: 2988.61 Min: 3268.78 / Avg: 3271.87 / Max: 3274.31 Min: 3383.71 / Avg: 3389.79 / Max: 3394.75 Min: 2871.61 / Avg: 2877.76 / Max: 2885.29 Min: 3318.02 / Avg: 3346.08 / Max: 3373.39 Min: 3216.88 / Avg: 3229.71 / Max: 3252.81 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
IOR IOR is a parallel I/O storage benchmark. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org MB/s, More Is Better IOR 3.2.1 Write Test EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 400 800 1200 1600 2000 SE +/- 25.56, N = 4 SE +/- 8.17, N = 3 SE +/- 13.68, N = 3 SE +/- 5.43, N = 3 SE +/- 10.46, N = 3 SE +/- 2.75, N = 3 SE +/- 2.72, N = 3 SE +/- 21.70, N = 4 SE +/- 0.83, N = 3 SE +/- 2.04, N = 3 SE +/- 4.26, N = 3 SE +/- 5.28, N = 3 SE +/- 2.61, N = 3 SE +/- 3.89, N = 3 SE +/- 5.14, N = 3 SE +/- 2.60, N = 3 SE +/- 17.96, N = 8 SE +/- 9.23, N = 3 SE +/- 19.55, N = 6 SE +/- 8.59, N = 3 1849.32 1850.53 1927.48 1575.39 1251.89 1606.89 1573.20 1604.88 1590.82 1542.43 1571.84 1259.04 1636.48 1622.60 1598.23 1659.95 1725.53 1584.29 1678.20 1603.94 1. (CC) gcc options: -O2 -lm -pthread -lmpi
Result Confidence
OpenBenchmarking.org MB/s, More Is Better IOR 3.2.1 Write Test EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 300 600 900 1200 1500 Min: 1821.66 / Avg: 1849.32 / Max: 1925.92 Min: 1838.59 / Avg: 1850.53 / Max: 1866.16 Min: 1909.11 / Avg: 1927.48 / Max: 1954.23 Min: 1564.62 / Avg: 1575.39 / Max: 1582.05 Min: 1231.03 / Avg: 1251.89 / Max: 1263.75 Min: 1601.58 / Avg: 1606.89 / Max: 1610.78 Min: 1568.76 / Avg: 1573.2 / Max: 1578.14 Min: 1579.94 / Avg: 1604.88 / Max: 1669.75 Min: 1589.42 / Avg: 1590.82 / Max: 1592.28 Min: 1538.62 / Avg: 1542.43 / Max: 1545.61 Min: 1566.18 / Avg: 1571.84 / Max: 1580.18 Min: 1248.55 / Avg: 1259.04 / Max: 1265.36 Min: 1633.32 / Avg: 1636.48 / Max: 1641.66 Min: 1617.44 / Avg: 1622.6 / Max: 1630.22 Min: 1589.01 / Avg: 1598.23 / Max: 1606.76 Min: 1657.12 / Avg: 1659.95 / Max: 1665.15 Min: 1649.54 / Avg: 1725.53 / Max: 1795.82 Min: 1572.77 / Avg: 1584.29 / Max: 1602.55 Min: 1584.67 / Avg: 1678.2 / Max: 1716.09 Min: 1590.02 / Avg: 1603.94 / Max: 1619.63 1. (CC) gcc options: -O2 -lm -pthread -lmpi
OpenVINO
Result
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 0.2633 0.5266 0.7899 1.0532 1.3165 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 0.81 0.80 0.79 1.17 1.04 1.02 0.98 0.76 0.96 0.82 0.82 0.91 0.87 0.98 0.86 0.79 0.88 0.86 0.85 0.90 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 2 4 6 8 10 Min: 0.81 / Avg: 0.81 / Max: 0.82 Min: 0.8 / Avg: 0.8 / Max: 0.8 Min: 0.79 / Avg: 0.79 / Max: 0.79 Min: 1.17 / Avg: 1.17 / Max: 1.17 Min: 1.03 / Avg: 1.04 / Max: 1.05 Min: 1.02 / Avg: 1.02 / Max: 1.02 Min: 0.97 / Avg: 0.98 / Max: 0.98 Min: 0.76 / Avg: 0.76 / Max: 0.77 Min: 0.95 / Avg: 0.96 / Max: 0.96 Min: 0.81 / Avg: 0.82 / Max: 0.82 Min: 0.82 / Avg: 0.82 / Max: 0.83 Min: 0.91 / Avg: 0.91 / Max: 0.91 Min: 0.87 / Avg: 0.87 / Max: 0.87 Min: 0.98 / Avg: 0.98 / Max: 0.98 Min: 0.86 / Avg: 0.86 / Max: 0.87 Min: 0.79 / Avg: 0.79 / Max: 0.79 Min: 0.87 / Avg: 0.88 / Max: 0.88 Min: 0.86 / Avg: 0.86 / Max: 0.86 Min: 0.85 / Avg: 0.85 / Max: 0.85 Min: 0.89 / Avg: 0.9 / Max: 0.91 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
DaCapo Benchmark This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 9.12-MR1 Java Test: Tradesoap EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 1200 2400 3600 4800 6000 SE +/- 39.71, N = 4 SE +/- 24.42, N = 4 SE +/- 18.54, N = 4 SE +/- 42.50, N = 4 SE +/- 25.70, N = 4 SE +/- 32.48, N = 4 SE +/- 57.02, N = 4 SE +/- 34.26, N = 4 SE +/- 59.76, N = 4 SE +/- 63.41, N = 4 SE +/- 29.29, N = 4 SE +/- 44.81, N = 4 SE +/- 38.80, N = 4 SE +/- 38.40, N = 4 SE +/- 25.86, N = 4 SE +/- 18.17, N = 4 SE +/- 41.98, N = 4 SE +/- 23.84, N = 4 SE +/- 57.45, N = 6 SE +/- 33.61, N = 4 3535 3796 4485 4921 4968 4747 4689 4269 4609 4385 4365 4460 4203 4466 4277 4190 4334 4965 4976 5414
Result Confidence
OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 9.12-MR1 Java Test: Tradesoap EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 900 1800 2700 3600 4500 Min: 3451 / Avg: 3534.75 / Max: 3614 Min: 3752 / Avg: 3795.5 / Max: 3862 Min: 4445 / Avg: 4484.75 / Max: 4522 Min: 4832 / Avg: 4920.5 / Max: 5010 Min: 4901 / Avg: 4967.75 / Max: 5022 Min: 4657 / Avg: 4746.75 / Max: 4812 Min: 4535 / Avg: 4689 / Max: 4810 Min: 4173 / Avg: 4268.5 / Max: 4334 Min: 4497 / Avg: 4609 / Max: 4752 Min: 4213 / Avg: 4385.25 / Max: 4514 Min: 4311 / Avg: 4364.75 / Max: 4444 Min: 4327 / Avg: 4460.25 / Max: 4515 Min: 4087 / Avg: 4202.5 / Max: 4251 Min: 4397 / Avg: 4466 / Max: 4553 Min: 4206 / Avg: 4276.75 / Max: 4326 Min: 4150 / Avg: 4190.25 / Max: 4221 Min: 4270 / Avg: 4334.25 / Max: 4456 Min: 4897 / Avg: 4964.5 / Max: 5008 Min: 4811 / Avg: 4975.5 / Max: 5170 Min: 5331 / Avg: 5413.5 / Max: 5479
Timed GDB GNU Debugger Compilation This test times how long it takes to build the GNU Debugger (GDB) in a default configuration. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Timed GDB GNU Debugger Compilation 9.1 Time To Compile EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 30 60 90 120 150 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 SE +/- 0.06, N = 3 SE +/- 0.18, N = 3 SE +/- 0.04, N = 3 SE +/- 0.12, N = 3 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.11, N = 3 SE +/- 0.05, N = 3 SE +/- 0.12, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.10, N = 3 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 SE +/- 0.08, N = 3 93.92 95.51 111.26 115.83 115.71 115.32 115.39 112.62 116.10 114.78 114.73 116.60 114.29 120.96 119.58 121.55 127.68 135.68 140.57 143.40
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed GDB GNU Debugger Compilation 9.1 Time To Compile EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 30 60 90 120 150 Min: 93.85 / Avg: 93.92 / Max: 94.02 Min: 95.39 / Avg: 95.51 / Max: 95.63 Min: 111.16 / Avg: 111.26 / Max: 111.36 Min: 115.47 / Avg: 115.83 / Max: 116.05 Min: 115.66 / Avg: 115.71 / Max: 115.79 Min: 115.1 / Avg: 115.32 / Max: 115.53 Min: 115.28 / Avg: 115.39 / Max: 115.49 Min: 112.54 / Avg: 112.62 / Max: 112.69 Min: 115.98 / Avg: 116.1 / Max: 116.19 Min: 114.74 / Avg: 114.78 / Max: 114.82 Min: 114.64 / Avg: 114.73 / Max: 114.79 Min: 116.42 / Avg: 116.6 / Max: 116.8 Min: 114.18 / Avg: 114.29 / Max: 114.34 Min: 120.77 / Avg: 120.96 / Max: 121.17 Min: 119.53 / Avg: 119.58 / Max: 119.63 Min: 121.53 / Avg: 121.54 / Max: 121.58 Min: 127.57 / Avg: 127.68 / Max: 127.89 Min: 135.6 / Avg: 135.68 / Max: 135.77 Min: 140.43 / Avg: 140.57 / Max: 140.71 Min: 143.24 / Avg: 143.4 / Max: 143.52
OpenVINO
Result
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 0.2633 0.5266 0.7899 1.0532 1.3165 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.81 0.80 0.79 1.17 1.04 1.02 0.97 0.77 0.95 0.83 0.82 0.91 0.88 0.98 0.88 0.79 0.88 0.86 0.85 0.90 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 2 4 6 8 10 Min: 0.81 / Avg: 0.81 / Max: 0.81 Min: 0.8 / Avg: 0.8 / Max: 0.8 Min: 0.79 / Avg: 0.79 / Max: 0.79 Min: 1.16 / Avg: 1.17 / Max: 1.17 Min: 1.04 / Avg: 1.04 / Max: 1.05 Min: 1.01 / Avg: 1.02 / Max: 1.02 Min: 0.97 / Avg: 0.97 / Max: 0.98 Min: 0.76 / Avg: 0.77 / Max: 0.77 Min: 0.95 / Avg: 0.95 / Max: 0.95 Min: 0.82 / Avg: 0.83 / Max: 0.83 Min: 0.82 / Avg: 0.82 / Max: 0.82 Min: 0.91 / Avg: 0.91 / Max: 0.92 Min: 0.87 / Avg: 0.88 / Max: 0.89 Min: 0.98 / Avg: 0.98 / Max: 0.98 Min: 0.88 / Avg: 0.88 / Max: 0.88 Min: 0.79 / Avg: 0.79 / Max: 0.8 Min: 0.87 / Avg: 0.88 / Max: 0.88 Min: 0.86 / Avg: 0.86 / Max: 0.87 Min: 0.85 / Avg: 0.85 / Max: 0.85 Min: 0.89 / Avg: 0.9 / Max: 0.9 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
Mobile Neural Network MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by ALibaba. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: MobileNetV2_224 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 2 4 6 8 10 SE +/- 0.071, N = 15 SE +/- 0.012, N = 15 SE +/- 0.068, N = 3 SE +/- 0.025, N = 12 SE +/- 0.023, N = 15 SE +/- 0.087, N = 3 SE +/- 0.028, N = 15 SE +/- 0.012, N = 12 SE +/- 0.074, N = 15 SE +/- 0.014, N = 3 SE +/- 0.071, N = 12 SE +/- 0.034, N = 15 SE +/- 0.074, N = 15 SE +/- 0.121, N = 15 SE +/- 0.063, N = 3 SE +/- 0.106, N = 3 SE +/- 0.067, N = 12 SE +/- 0.036, N = 3 SE +/- 0.039, N = 3 SE +/- 0.027, N = 12 5.847 6.099 5.581 5.630 5.077 5.032 5.059 4.674 5.313 4.920 5.027 4.864 5.905 6.138 6.986 6.353 5.899 5.979 5.882 6.320 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: MobileNetV2_224 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 Min: 5.51 / Avg: 5.85 / Max: 6.23 Min: 6 / Avg: 6.1 / Max: 6.16 Min: 5.51 / Avg: 5.58 / Max: 5.72 Min: 5.48 / Avg: 5.63 / Max: 5.83 Min: 4.83 / Avg: 5.08 / Max: 5.22 Min: 4.88 / Avg: 5.03 / Max: 5.18 Min: 4.82 / Avg: 5.06 / Max: 5.19 Min: 4.61 / Avg: 4.67 / Max: 4.76 Min: 4.77 / Avg: 5.31 / Max: 5.9 Min: 4.9 / Avg: 4.92 / Max: 4.95 Min: 4.7 / Avg: 5.03 / Max: 5.59 Min: 4.63 / Avg: 4.86 / Max: 5.19 Min: 5.45 / Avg: 5.91 / Max: 6.45 Min: 5.41 / Avg: 6.14 / Max: 6.86 Min: 6.86 / Avg: 6.99 / Max: 7.06 Min: 6.14 / Avg: 6.35 / Max: 6.46 Min: 5.56 / Avg: 5.9 / Max: 6.3 Min: 5.91 / Avg: 5.98 / Max: 6.03 Min: 5.83 / Avg: 5.88 / Max: 5.96 Min: 6.18 / Avg: 6.32 / Max: 6.49 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
Caffe This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: AlexNet - Acceleration: CPU - Iterations: 200 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 40K 80K 120K 160K 200K SE +/- 1785.82, N = 3 SE +/- 158.88, N = 3 SE +/- 259.29, N = 3 SE +/- 207.27, N = 3 SE +/- 118.55, N = 3 SE +/- 4669.23, N = 12 SE +/- 5113.88, N = 12 SE +/- 309.87, N = 3 SE +/- 2602.65, N = 4 SE +/- 119.50, N = 3 SE +/- 177.34, N = 3 SE +/- 65.84, N = 3 SE +/- 104.74, N = 3 SE +/- 283.68, N = 3 SE +/- 74.55, N = 3 SE +/- 18.90, N = 3 SE +/- 2784.79, N = 3 SE +/- 49.13, N = 3 SE +/- 872.40, N = 3 SE +/- 1138.71, N = 3 151858 138300 138475 123652 122716 150608 132666 157348 182245 163571 163216 170209 149533 169060 147070 150213 161347 148683 152406 151504 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
Result Confidence
OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: AlexNet - Acceleration: CPU - Iterations: 200 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 30K 60K 90K 120K 150K Min: 149741 / Avg: 151858.33 / Max: 155408 Min: 138096 / Avg: 138300 / Max: 138613 Min: 137991 / Avg: 138475.33 / Max: 138878 Min: 123343 / Avg: 123652.33 / Max: 124046 Min: 122555 / Avg: 122715.67 / Max: 122947 Min: 121179 / Avg: 150607.67 / Max: 168454 Min: 119362 / Avg: 132665.67 / Max: 167664 Min: 156779 / Avg: 157348.33 / Max: 157845 Min: 175128 / Avg: 182244.75 / Max: 187464 Min: 163333 / Avg: 163571.33 / Max: 163706 Min: 163025 / Avg: 163215.67 / Max: 163570 Min: 170097 / Avg: 170209.33 / Max: 170325 Min: 149413 / Avg: 149533.33 / Max: 149742 Min: 168535 / Avg: 169059.67 / Max: 169509 Min: 146991 / Avg: 147070 / Max: 147219 Min: 150185 / Avg: 150213 / Max: 150249 Min: 156030 / Avg: 161346.67 / Max: 165442 Min: 148596 / Avg: 148683.33 / Max: 148766 Min: 150661 / Avg: 152405.67 / Max: 153296 Min: 150249 / Avg: 151503.67 / Max: 153777 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
PostgreSQL pgbench This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 100 - Mode: Read Write EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 700 1400 2100 2800 3500 SE +/- 24.07, N = 3 SE +/- 15.04, N = 3 SE +/- 7.30, N = 3 SE +/- 18.57, N = 3 SE +/- 35.00, N = 4 SE +/- 24.83, N = 3 SE +/- 6.79, N = 3 SE +/- 22.21, N = 3 SE +/- 17.47, N = 3 SE +/- 12.17, N = 3 SE +/- 10.16, N = 3 SE +/- 23.27, N = 3 SE +/- 7.36, N = 3 SE +/- 30.62, N = 3 SE +/- 23.10, N = 3 SE +/- 4.52, N = 3 SE +/- 22.43, N = 3 SE +/- 22.64, N = 3 SE +/- 10.14, N = 3 SE +/- 3.48, N = 3 3415 3221 3006 2738 2770 2671 2693 2528 2457 2517 2535 2500 2394 2457 2418 2667 2697 2328 2780 2731 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result Confidence
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 100 - Mode: Read Write EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 600 1200 1800 2400 3000 Min: 3373.98 / Avg: 3415.45 / Max: 3457.36 Min: 3192.63 / Avg: 3220.59 / Max: 3244.19 Min: 2995.56 / Avg: 3005.63 / Max: 3019.81 Min: 2711.95 / Avg: 2737.69 / Max: 2773.75 Min: 2667.34 / Avg: 2769.78 / Max: 2823.7 Min: 2623.14 / Avg: 2671.2 / Max: 2706.08 Min: 2678.96 / Avg: 2692.53 / Max: 2699.86 Min: 2483.62 / Avg: 2527.96 / Max: 2552.45 Min: 2423.61 / Avg: 2456.72 / Max: 2482.93 Min: 2494.25 / Avg: 2516.54 / Max: 2536.14 Min: 2523.35 / Avg: 2534.67 / Max: 2554.94 Min: 2465.63 / Avg: 2500.49 / Max: 2544.62 Min: 2385.23 / Avg: 2394.11 / Max: 2408.72 Min: 2421.18 / Avg: 2457.42 / Max: 2518.29 Min: 2377.38 / Avg: 2418.12 / Max: 2457.35 Min: 2662.62 / Avg: 2667.31 / Max: 2676.34 Min: 2655.86 / Avg: 2697.37 / Max: 2732.85 Min: 2289.82 / Avg: 2328.44 / Max: 2368.24 Min: 2760.32 / Avg: 2780.49 / Max: 2792.45 Min: 2724.61 / Avg: 2730.99 / Max: 2736.57 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 100 - Mode: Read Write - Average Latency EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 10 20 30 40 50 SE +/- 0.20, N = 3 SE +/- 0.15, N = 3 SE +/- 0.08, N = 3 SE +/- 0.25, N = 3 SE +/- 0.47, N = 4 SE +/- 0.36, N = 3 SE +/- 0.09, N = 3 SE +/- 0.35, N = 3 SE +/- 0.29, N = 3 SE +/- 0.19, N = 3 SE +/- 0.17, N = 3 SE +/- 0.37, N = 3 SE +/- 0.13, N = 3 SE +/- 0.50, N = 3 SE +/- 0.40, N = 3 SE +/- 0.06, N = 3 SE +/- 0.31, N = 3 SE +/- 0.42, N = 3 SE +/- 0.13, N = 3 SE +/- 0.05, N = 3 29.32 31.08 33.29 36.59 36.18 37.50 37.20 39.62 40.77 39.79 39.52 40.06 41.83 40.78 41.41 37.53 37.11 42.98 35.99 36.64 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 100 - Mode: Read Write - Average Latency EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 9 18 27 36 45 Min: 28.97 / Avg: 29.32 / Max: 29.67 Min: 30.85 / Avg: 31.08 / Max: 31.35 Min: 33.13 / Avg: 33.29 / Max: 33.4 Min: 36.1 / Avg: 36.59 / Max: 36.93 Min: 35.48 / Avg: 36.18 / Max: 37.56 Min: 37.01 / Avg: 37.5 / Max: 38.19 Min: 37.09 / Avg: 37.2 / Max: 37.38 Min: 39.23 / Avg: 39.62 / Max: 40.33 Min: 40.36 / Avg: 40.77 / Max: 41.32 Min: 39.49 / Avg: 39.79 / Max: 40.16 Min: 39.19 / Avg: 39.52 / Max: 39.7 Min: 39.36 / Avg: 40.06 / Max: 40.63 Min: 41.57 / Avg: 41.83 / Max: 41.98 Min: 39.78 / Avg: 40.78 / Max: 41.36 Min: 40.73 / Avg: 41.4 / Max: 42.11 Min: 37.4 / Avg: 37.53 / Max: 37.59 Min: 36.63 / Avg: 37.11 / Max: 37.68 Min: 42.25 / Avg: 42.98 / Max: 43.7 Min: 35.83 / Avg: 35.99 / Max: 36.25 Min: 36.56 / Avg: 36.64 / Max: 36.72 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Monte Carlo Simulations of Ionised Nebulae Mocassin is the Monte Carlo Simulations of Ionised Nebulae. MOCASSIN is a fully 3D or 2D photoionisation and dust radiative transfer code which employs a Monte Carlo approach to the transfer of radiation through media of arbitrary geometry and density distribution. Learn more via the OpenBenchmarking.org test page.
MariaDB This is a MariaDB MySQL database server benchmark making use of mysqlslap. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Queries Per Second, More Is Better MariaDB 10.5.2 Clients: 32 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 600 1200 1800 2400 3000 SE +/- 5.12, N = 3 SE +/- 2.21, N = 3 SE +/- 12.04, N = 3 SE +/- 1.89, N = 3 SE +/- 1.85, N = 3 SE +/- 8.25, N = 3 SE +/- 1.98, N = 3 SE +/- 5.96, N = 3 SE +/- 3.11, N = 3 SE +/- 3.57, N = 3 SE +/- 5.31, N = 3 SE +/- 3.67, N = 3 SE +/- 5.99, N = 3 SE +/- 1.63, N = 3 SE +/- 1.77, N = 3 SE +/- 3.98, N = 3 SE +/- 4.19, N = 3 SE +/- 6.33, N = 3 SE +/- 7.86, N = 3 SE +/- 8.15, N = 3 2768 2575 2193 2385 2355 2483 2435 2602 2320 2488 2453 2346 2445 2209 2301 2625 2504 1912 2055 2169 1. (CXX) g++ options: -pie -fPIC -fstack-protector -O2 -lpthread -llzma -lbz2 -lsnappy -lnuma -lpcre2-8 -lcrypt -lz -lm -lssl -lcrypto -ldl
Result Confidence
OpenBenchmarking.org Queries Per Second, More Is Better MariaDB 10.5.2 Clients: 32 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 500 1000 1500 2000 2500 Min: 2762.43 / Avg: 2767.55 / Max: 2777.78 Min: 2570.69 / Avg: 2575.11 / Max: 2577.32 Min: 2169.2 / Avg: 2193.12 / Max: 2207.51 Min: 2380.95 / Avg: 2384.74 / Max: 2386.63 Min: 2352.94 / Avg: 2354.79 / Max: 2358.49 Min: 2475.25 / Avg: 2483.5 / Max: 2500 Min: 2433.09 / Avg: 2435.07 / Max: 2439.02 Min: 2590.67 / Avg: 2601.94 / Max: 2610.97 Min: 2314.81 / Avg: 2320.19 / Max: 2325.58 Min: 2481.39 / Avg: 2487.57 / Max: 2493.77 Min: 2444.99 / Avg: 2453.01 / Max: 2463.05 Min: 2341.92 / Avg: 2345.59 / Max: 2352.94 Min: 2439.02 / Avg: 2445.02 / Max: 2457 Min: 2207.51 / Avg: 2209.13 / Max: 2212.39 Min: 2298.85 / Avg: 2300.62 / Max: 2304.15 Min: 2617.8 / Avg: 2624.68 / Max: 2631.58 Min: 2500 / Avg: 2504.19 / Max: 2512.56 Min: 1901.14 / Avg: 1912.09 / Max: 1923.08 Min: 2044.99 / Avg: 2054.85 / Max: 2070.39 Min: 2155.17 / Avg: 2169.26 / Max: 2183.41 1. (CXX) g++ options: -pie -fPIC -fstack-protector -O2 -lpthread -llzma -lbz2 -lsnappy -lnuma -lpcre2-8 -lcrypt -lz -lm -lssl -lcrypto -ldl
Caffe This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: AlexNet - Acceleration: CPU - Iterations: 100 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 20K 40K 60K 80K 100K SE +/- 270.59, N = 3 SE +/- 58.89, N = 3 SE +/- 215.91, N = 3 SE +/- 98.16, N = 3 SE +/- 14.77, N = 3 SE +/- 1639.18, N = 15 SE +/- 2925.14, N = 15 SE +/- 34.00, N = 3 SE +/- 482.48, N = 3 SE +/- 120.31, N = 3 SE +/- 95.35, N = 3 SE +/- 40.88, N = 3 SE +/- 46.07, N = 3 SE +/- 295.81, N = 3 SE +/- 48.50, N = 3 SE +/- 99.31, N = 3 SE +/- 951.90, N = 3 SE +/- 28.35, N = 3 SE +/- 159.45, N = 3 74949 69107 68835 62139 61568 70290 68979 79050 88694 81848 81683 85230 74842 84809 73660 75192 80200 74361 76141 75301 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
Result Confidence
OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: AlexNet - Acceleration: CPU - Iterations: 100 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 15K 30K 45K 60K 75K Min: 74488 / Avg: 74949 / Max: 75425 Min: 69005 / Avg: 69106.67 / Max: 69209 Min: 68517 / Avg: 68835 / Max: 69247 Min: 61998 / Avg: 62139.33 / Max: 62328 Min: 61539 / Avg: 61568.33 / Max: 61586 Min: 59832 / Avg: 70290.07 / Max: 83284 Min: 59677 / Avg: 68979.2 / Max: 84033 Min: 78982 / Avg: 79050 / Max: 79084 Min: 87822 / Avg: 88693.67 / Max: 89488 Min: 81658 / Avg: 81848.33 / Max: 82071 Min: 81585 / Avg: 81683.33 / Max: 81874 Min: 85148 / Avg: 85229.67 / Max: 85274 Min: 74784 / Avg: 74842 / Max: 74933 Min: 84435 / Avg: 84809 / Max: 85393 Min: 73563 / Avg: 73660 / Max: 73709 Min: 75035 / Avg: 75192.33 / Max: 75376 Min: 78418 / Avg: 80200.33 / Max: 81671 Min: 76107 / Avg: 76140.67 / Max: 76197 Min: 74989 / Avg: 75300.67 / Max: 75515 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
Crafty This is a performance test of Crafty, an advanced open-source chess engine. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Nodes Per Second, More Is Better Crafty 25.2 Elapsed Time EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 2M 4M 6M 8M 10M SE +/- 13083.28, N = 3 SE +/- 13365.44, N = 3 SE +/- 33413.74, N = 3 SE +/- 11189.60, N = 3 SE +/- 16641.25, N = 3 SE +/- 5490.09, N = 3 SE +/- 58932.94, N = 9 SE +/- 47967.21, N = 3 SE +/- 23411.23, N = 3 SE +/- 16322.76, N = 3 SE +/- 60813.81, N = 3 SE +/- 27245.95, N = 3 SE +/- 43739.49, N = 3 SE +/- 66115.31, N = 6 SE +/- 4457.96, N = 3 SE +/- 91804.03, N = 3 SE +/- 83401.53, N = 4 SE +/- 54822.83, N = 10 SE +/- 64286.26, N = 3 SE +/- 78634.61, N = 5 7432010 7812765 7299102 6548322 6446053 6617325 6169606 6451888 5955306 6724444 6311538 6322595 6340115 5439046 6478221 5628949 5911066 5872734 6069924 5977043 1. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm
Result Confidence
OpenBenchmarking.org Nodes Per Second, More Is Better Crafty 25.2 Elapsed Time EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 1.4M 2.8M 4.2M 5.6M 7M Min: 7406367 / Avg: 7432010.33 / Max: 7449341 Min: 7786435 / Avg: 7812765.33 / Max: 7829923 Min: 7253372 / Avg: 7299102 / Max: 7364169 Min: 6526815 / Avg: 6548321.67 / Max: 6564434 Min: 6419058 / Avg: 6446052.67 / Max: 6476410 Min: 6607733 / Avg: 6617325.33 / Max: 6626749 Min: 5765543 / Avg: 6169606 / Max: 6421933 Min: 6356940 / Avg: 6451888.33 / Max: 6511244 Min: 5911775 / Avg: 5955306.33 / Max: 5992006 Min: 6706889 / Avg: 6724444.33 / Max: 6757058 Min: 6230341 / Avg: 6311538 / Max: 6430560 Min: 6268240 / Avg: 6322595.33 / Max: 6353112 Min: 6255345 / Avg: 6340114.67 / Max: 6401208 Min: 5307839 / Avg: 5439045.5 / Max: 5725219 Min: 6471681 / Avg: 6478221 / Max: 6486739 Min: 5474789 / Avg: 5628948.67 / Max: 5792400 Min: 5745490 / Avg: 5911066.25 / Max: 6083542 Min: 5665156 / Avg: 5872733.9 / Max: 6263416 Min: 5950694 / Avg: 6069924.33 / Max: 6171208 Min: 5669153 / Avg: 5977043.4 / Max: 6096958 1. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm
RawTherapee RawTherapee is a cross-platform, open-source multi-threaded RAW image processing program. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better RawTherapee Total Benchmark Time EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 16 32 48 64 80 SE +/- 0.02, N = 3 SE +/- 0.08, N = 3 SE +/- 0.02, N = 3 SE +/- 0.12, N = 3 SE +/- 0.10, N = 3 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 SE +/- 0.09, N = 3 SE +/- 0.11, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.07, N = 3 SE +/- 0.07, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.10, N = 3 SE +/- 0.02, N = 3 SE +/- 0.08, N = 3 51.41 52.86 61.05 60.13 58.36 58.14 56.78 52.82 57.27 53.80 53.72 54.97 54.62 59.36 58.83 59.93 62.98 69.76 72.47 72.49 1. RawTherapee, version 5.8, command line.
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better RawTherapee Total Benchmark Time EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 14 28 42 56 70 Min: 51.38 / Avg: 51.41 / Max: 51.43 Min: 52.74 / Avg: 52.86 / Max: 53.01 Min: 61.02 / Avg: 61.05 / Max: 61.08 Min: 59.99 / Avg: 60.13 / Max: 60.38 Min: 58.17 / Avg: 58.36 / Max: 58.51 Min: 58.06 / Avg: 58.14 / Max: 58.22 Min: 56.67 / Avg: 56.78 / Max: 56.91 Min: 52.64 / Avg: 52.82 / Max: 52.94 Min: 57.1 / Avg: 57.27 / Max: 57.49 Min: 53.76 / Avg: 53.8 / Max: 53.82 Min: 53.63 / Avg: 53.72 / Max: 53.77 Min: 54.91 / Avg: 54.97 / Max: 55.02 Min: 54.56 / Avg: 54.62 / Max: 54.71 Min: 59.28 / Avg: 59.36 / Max: 59.51 Min: 58.72 / Avg: 58.83 / Max: 58.96 Min: 59.8 / Avg: 59.93 / Max: 60.03 Min: 62.92 / Avg: 62.98 / Max: 63.01 Min: 69.64 / Avg: 69.76 / Max: 69.97 Min: 72.43 / Avg: 72.47 / Max: 72.51 Min: 72.37 / Avg: 72.49 / Max: 72.65 1. RawTherapee, version 5.8, command line.
FFmpeg This test uses FFmpeg for testing the system's audio/video encoding performance. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better FFmpeg 4.0.2 H.264 HD To NTSC DV EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 SE +/- 0.025, N = 3 SE +/- 0.014, N = 3 SE +/- 0.049, N = 3 SE +/- 0.091, N = 3 SE +/- 0.101, N = 3 SE +/- 0.060, N = 3 SE +/- 0.124, N = 3 SE +/- 0.029, N = 3 SE +/- 0.012, N = 3 SE +/- 0.080, N = 3 SE +/- 0.034, N = 3 SE +/- 0.041, N = 3 SE +/- 0.086, N = 3 SE +/- 0.060, N = 3 SE +/- 0.032, N = 3 SE +/- 0.037, N = 3 7.331 7.182 7.603 9.295 10.026 9.504 9.472 9.571 9.426 9.692 9.051 9.250 9.842 9.613 9.965 9.291 1. (CC) gcc options: -lavdevice -lavfilter -lavformat -lavcodec -lswresample -lswscale -lavutil -lm -lxcb -lasound -pthread -lbz2 -llzma -std=c11 -fomit-frame-pointer -fPIC -O3 -fno-math-errno -fno-signed-zeros -fno-tree-vectorize -MMD -MF -MT
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better FFmpeg 4.0.2 H.264 HD To NTSC DV EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 Min: 7.3 / Avg: 7.33 / Max: 7.38 Min: 7.16 / Avg: 7.18 / Max: 7.21 Min: 7.52 / Avg: 7.6 / Max: 7.69 Min: 9.13 / Avg: 9.29 / Max: 9.45 Min: 9.83 / Avg: 10.03 / Max: 10.16 Min: 9.39 / Avg: 9.5 / Max: 9.57 Min: 9.33 / Avg: 9.47 / Max: 9.72 Min: 9.52 / Avg: 9.57 / Max: 9.62 Min: 9.41 / Avg: 9.43 / Max: 9.45 Min: 9.54 / Avg: 9.69 / Max: 9.8 Min: 9 / Avg: 9.05 / Max: 9.12 Min: 9.2 / Avg: 9.25 / Max: 9.33 Min: 9.72 / Avg: 9.84 / Max: 10.01 Min: 9.5 / Avg: 9.61 / Max: 9.7 Min: 9.9 / Avg: 9.97 / Max: 10 Min: 9.23 / Avg: 9.29 / Max: 9.36 1. (CC) gcc options: -lavdevice -lavfilter -lavformat -lavcodec -lswresample -lswscale -lavutil -lm -lxcb -lasound -pthread -lbz2 -llzma -std=c11 -fomit-frame-pointer -fPIC -O3 -fno-math-errno -fno-signed-zeros -fno-tree-vectorize -MMD -MF -MT
Bullet Physics Engine This is a benchmark of the Bullet Physics Engine. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Bullet Physics Engine 2.81 Test: 3000 Fall EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 1.2047 2.4094 3.6141 4.8188 6.0235 SE +/- 0.010372, N = 3 SE +/- 0.005492, N = 3 SE +/- 0.009248, N = 3 SE +/- 0.011361, N = 3 SE +/- 0.006914, N = 3 SE +/- 0.007590, N = 3 SE +/- 0.012710, N = 3 SE +/- 0.002205, N = 3 SE +/- 0.005292, N = 3 SE +/- 0.004608, N = 3 SE +/- 0.009984, N = 3 SE +/- 0.003085, N = 3 SE +/- 0.006874, N = 3 SE +/- 0.041024, N = 3 SE +/- 0.003541, N = 3 SE +/- 0.005936, N = 3 SE +/- 0.001386, N = 3 SE +/- 0.011124, N = 3 SE +/- 0.029170, N = 3 SE +/- 0.035846, N = 3 4.248951 3.836466 3.867440 4.452469 4.516180 4.495252 4.490296 4.362872 4.510940 4.449033 4.412687 4.416565 4.450068 4.777518 4.481216 4.670712 4.734690 4.406652 4.784334 5.354166 1. (CXX) g++ options: -O3 -rdynamic -lglut -lGL -lGLU
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Bullet Physics Engine 2.81 Test: 3000 Fall EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 2 4 6 8 10 Min: 4.24 / Avg: 4.25 / Max: 4.27 Min: 3.83 / Avg: 3.84 / Max: 3.85 Min: 3.85 / Avg: 3.87 / Max: 3.88 Min: 4.43 / Avg: 4.45 / Max: 4.47 Min: 4.51 / Avg: 4.52 / Max: 4.53 Min: 4.48 / Avg: 4.5 / Max: 4.51 Min: 4.47 / Avg: 4.49 / Max: 4.51 Min: 4.36 / Avg: 4.36 / Max: 4.37 Min: 4.51 / Avg: 4.51 / Max: 4.52 Min: 4.44 / Avg: 4.45 / Max: 4.46 Min: 4.4 / Avg: 4.41 / Max: 4.43 Min: 4.41 / Avg: 4.42 / Max: 4.42 Min: 4.44 / Avg: 4.45 / Max: 4.46 Min: 4.7 / Avg: 4.78 / Max: 4.82 Min: 4.48 / Avg: 4.48 / Max: 4.49 Min: 4.66 / Avg: 4.67 / Max: 4.68 Min: 4.73 / Avg: 4.73 / Max: 4.74 Min: 4.39 / Avg: 4.41 / Max: 4.43 Min: 4.74 / Avg: 4.78 / Max: 4.84 Min: 5.29 / Avg: 5.35 / Max: 5.42 1. (CXX) g++ options: -O3 -rdynamic -lglut -lGL -lGLU
ASTC Encoder ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better ASTC Encoder 2.0 Preset: Fast EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 2 4 6 8 10 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 5.39 5.32 6.11 5.67 5.73 5.76 5.77 5.69 5.91 5.79 5.80 5.83 5.92 6.35 6.27 6.45 6.77 6.97 7.39 7.30 1. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better ASTC Encoder 2.0 Preset: Fast EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 Min: 5.38 / Avg: 5.39 / Max: 5.41 Min: 5.3 / Avg: 5.32 / Max: 5.35 Min: 6.1 / Avg: 6.11 / Max: 6.12 Min: 5.64 / Avg: 5.67 / Max: 5.69 Min: 5.72 / Avg: 5.73 / Max: 5.73 Min: 5.75 / Avg: 5.76 / Max: 5.78 Min: 5.75 / Avg: 5.77 / Max: 5.79 Min: 5.66 / Avg: 5.69 / Max: 5.71 Min: 5.88 / Avg: 5.91 / Max: 5.93 Min: 5.78 / Avg: 5.79 / Max: 5.8 Min: 5.78 / Avg: 5.8 / Max: 5.83 Min: 5.82 / Avg: 5.83 / Max: 5.84 Min: 5.89 / Avg: 5.92 / Max: 5.95 Min: 6.32 / Avg: 6.35 / Max: 6.38 Min: 6.26 / Avg: 6.27 / Max: 6.27 Min: 6.43 / Avg: 6.45 / Max: 6.47 Min: 6.73 / Avg: 6.77 / Max: 6.81 Min: 6.97 / Avg: 6.97 / Max: 6.98 Min: 7.38 / Avg: 7.39 / Max: 7.41 Min: 7.29 / Avg: 7.3 / Max: 7.31 1. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
GIMP GIMP is an open-source image manipulaton program. This test profile will use the system-provided GIMP program otherwise on Windows relys upon a pre-packaged Windows binary from upstream GIMP.org. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better GIMP 2.10.18 Test: auto-levels EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 5 10 15 20 25 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.10, N = 3 SE +/- 0.04, N = 3 SE +/- 0.12, N = 3 SE +/- 0.02, N = 3 SE +/- 0.13, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.12, N = 3 SE +/- 0.04, N = 3 SE +/- 0.07, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 16.20 15.38 13.75 18.31 18.44 18.63 18.39 17.65 19.03 17.96 17.94 18.17 17.28 18.25 16.93 16.88 16.45 15.74 16.29 16.31
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GIMP 2.10.18 Test: auto-levels EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 5 10 15 20 25 Min: 16.17 / Avg: 16.2 / Max: 16.24 Min: 15.29 / Avg: 15.38 / Max: 15.48 Min: 13.7 / Avg: 13.75 / Max: 13.81 Min: 18.27 / Avg: 18.31 / Max: 18.37 Min: 18.23 / Avg: 18.44 / Max: 18.55 Min: 18.56 / Avg: 18.63 / Max: 18.69 Min: 18.26 / Avg: 18.39 / Max: 18.63 Min: 17.62 / Avg: 17.65 / Max: 17.69 Min: 18.79 / Avg: 19.03 / Max: 19.24 Min: 17.87 / Avg: 17.96 / Max: 18.06 Min: 17.92 / Avg: 17.94 / Max: 17.95 Min: 17.98 / Avg: 18.17 / Max: 18.38 Min: 17.22 / Avg: 17.28 / Max: 17.35 Min: 18.18 / Avg: 18.25 / Max: 18.39 Min: 16.9 / Avg: 16.93 / Max: 16.95 Min: 16.78 / Avg: 16.88 / Max: 16.98 Min: 16.42 / Avg: 16.45 / Max: 16.47 Min: 15.66 / Avg: 15.74 / Max: 15.82 Min: 16.27 / Avg: 16.29 / Max: 16.3 Min: 16.27 / Avg: 16.31 / Max: 16.36
Caffe This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: GoogleNet - Acceleration: CPU - Iterations: 200 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 90K 180K 270K 360K 450K SE +/- 688.36, N = 3 SE +/- 434.25, N = 3 SE +/- 510.20, N = 3 SE +/- 509.80, N = 3 SE +/- 339.60, N = 3 SE +/- 7856.58, N = 9 SE +/- 4952.89, N = 3 SE +/- 227.82, N = 3 SE +/- 1305.38, N = 3 SE +/- 403.57, N = 3 SE +/- 189.78, N = 3 SE +/- 583.08, N = 3 SE +/- 687.60, N = 3 SE +/- 904.07, N = 3 SE +/- 2314.26, N = 3 SE +/- 357.06, N = 3 SE +/- 1086.97, N = 3 SE +/- 108.93, N = 3 SE +/- 161.37, N = 3 SE +/- 1246.76, N = 3 370762 345522 336529 324951 323169 358400 317560 390515 438631 407984 408029 428034 371338 428417 368724 370870 375660 365509 368379 368302 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
Result Confidence
OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: GoogleNet - Acceleration: CPU - Iterations: 200 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 80K 160K 240K 320K 400K Min: 369781 / Avg: 370762 / Max: 372089 Min: 344906 / Avg: 345521.67 / Max: 346360 Min: 335826 / Avg: 336529 / Max: 337521 Min: 324015 / Avg: 324951.33 / Max: 325769 Min: 322554 / Avg: 323169.33 / Max: 323726 Min: 335480 / Avg: 358400 / Max: 395035 Min: 311387 / Avg: 317560.33 / Max: 327356 Min: 390095 / Avg: 390515 / Max: 390878 Min: 436538 / Avg: 438631 / Max: 441029 Min: 407286 / Avg: 407984.33 / Max: 408684 Min: 407694 / Avg: 408029.33 / Max: 408351 Min: 427137 / Avg: 428034.33 / Max: 429128 Min: 369969 / Avg: 371337.67 / Max: 372138 Min: 427168 / Avg: 428417.33 / Max: 430174 Min: 366319 / Avg: 368723.67 / Max: 373351 Min: 370484 / Avg: 370869.67 / Max: 371583 Min: 373544 / Avg: 375660.33 / Max: 377149 Min: 365334 / Avg: 365509.33 / Max: 365709 Min: 368059 / Avg: 368378.67 / Max: 368577 Min: 365859 / Avg: 368302 / Max: 369956 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
librsvg RSVG/librsvg is an SVG vector graphics library. This test profile times how long it takes to complete various operations by rsvg-convert. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better librsvg Operation: SVG Files To PNG EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 8 16 24 32 40 SE +/- 0.04, N = 3 SE +/- 0.09, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.29, N = 3 SE +/- 0.08, N = 3 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.16, N = 3 SE +/- 0.03, N = 3 SE +/- 0.13, N = 3 SE +/- 0.12, N = 3 SE +/- 0.10, N = 3 SE +/- 0.10, N = 3 26.26 24.80 24.72 33.54 33.66 33.28 33.26 32.40 32.44 32.74 32.76 32.97 32.46 33.82 32.00 32.94 32.52 30.66 32.18 33.56 1. EPYC 7F72: rsvg-convert version 2.50.0 2. EPYC 7F52: rsvg-convert version 2.50.1 3. EPYC 7F32: rsvg-convert version 2.50.1 4. EPYC 7702: rsvg-convert version 2.50.1 5. EPYC 7662: rsvg-convert version 2.50.1 6. EPYC 7642: rsvg-convert version 2.50.1 7. EPYC 7552: rsvg-convert version 2.50.1 8. EPYC 7542: rsvg-convert version 2.50.1 9. EPYC 7532: rsvg-convert version 2.50.1 10. EPYC 7502P: rsvg-convert version 2.50.1 11. EPYC 7502: rsvg-convert version 2.50.1 12. EPYC 7452: rsvg-convert version 2.50.1 13. EPYC 7402P: rsvg-convert version 2.50.1 14. EPYC 7352: rsvg-convert version 2.50.1 15. EPYC 7302P: rsvg-convert version 2.50.1 16. EPYC 7282: rsvg-convert version 2.50.1 17. EPYC 7272: rsvg-convert version 2.50.1 18. EPYC 7262: rsvg-convert version 2.50.1 19. EPYC 7252: rsvg-convert version 2.50.1 20. EPYC 7232P: rsvg-convert version 2.50.1
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better librsvg Operation: SVG Files To PNG EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 7 14 21 28 35 Min: 26.19 / Avg: 26.26 / Max: 26.33 Min: 24.68 / Avg: 24.8 / Max: 24.99 Min: 24.65 / Avg: 24.72 / Max: 24.81 Min: 33.49 / Avg: 33.54 / Max: 33.6 Min: 33.55 / Avg: 33.66 / Max: 33.79 Min: 33.22 / Avg: 33.27 / Max: 33.33 Min: 33.22 / Avg: 33.26 / Max: 33.31 Min: 32.37 / Avg: 32.4 / Max: 32.44 Min: 31.88 / Avg: 32.44 / Max: 32.87 Min: 32.59 / Avg: 32.74 / Max: 32.84 Min: 32.66 / Avg: 32.76 / Max: 32.83 Min: 32.85 / Avg: 32.97 / Max: 33.11 Min: 32.35 / Avg: 32.46 / Max: 32.55 Min: 33.74 / Avg: 33.82 / Max: 33.87 Min: 31.69 / Avg: 32 / Max: 32.17 Min: 32.89 / Avg: 32.94 / Max: 32.99 Min: 32.35 / Avg: 32.52 / Max: 32.78 Min: 30.42 / Avg: 30.65 / Max: 30.84 Min: 31.99 / Avg: 32.18 / Max: 32.32 Min: 33.41 / Avg: 33.56 / Max: 33.74 1. EPYC 7F72: rsvg-convert version 2.50.0 2. EPYC 7F52: rsvg-convert version 2.50.1 3. EPYC 7F32: rsvg-convert version 2.50.1 4. EPYC 7702: rsvg-convert version 2.50.1 5. EPYC 7662: rsvg-convert version 2.50.1 6. EPYC 7642: rsvg-convert version 2.50.1 7. EPYC 7552: rsvg-convert version 2.50.1 8. EPYC 7542: rsvg-convert version 2.50.1 9. EPYC 7532: rsvg-convert version 2.50.1 10. EPYC 7502P: rsvg-convert version 2.50.1 11. EPYC 7502: rsvg-convert version 2.50.1 12. EPYC 7452: rsvg-convert version 2.50.1 13. EPYC 7402P: rsvg-convert version 2.50.1 14. EPYC 7352: rsvg-convert version 2.50.1 15. EPYC 7302P: rsvg-convert version 2.50.1 16. EPYC 7282: rsvg-convert version 2.50.1 17. EPYC 7272: rsvg-convert version 2.50.1 18. EPYC 7262: rsvg-convert version 2.50.1 19. EPYC 7252: rsvg-convert version 2.50.1 20. EPYC 7232P: rsvg-convert version 2.50.1
GIMP GIMP is an open-source image manipulaton program. This test profile will use the system-provided GIMP program otherwise on Windows relys upon a pre-packaged Windows binary from upstream GIMP.org. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better GIMP 2.10.18 Test: unsharp-mask EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 6 12 18 24 30 SE +/- 0.09, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.10, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.15, N = 3 SE +/- 0.08, N = 3 SE +/- 0.05, N = 3 SE +/- 0.11, N = 3 SE +/- 0.11, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.10, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 21.13 20.00 17.74 23.82 23.63 24.07 23.58 23.20 24.25 23.22 23.52 23.65 22.48 23.79 21.84 21.44 20.95 20.00 20.31 20.50
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GIMP 2.10.18 Test: unsharp-mask EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 6 12 18 24 30 Min: 21.02 / Avg: 21.13 / Max: 21.32 Min: 19.9 / Avg: 20 / Max: 20.09 Min: 17.67 / Avg: 17.74 / Max: 17.81 Min: 23.79 / Avg: 23.82 / Max: 23.84 Min: 23.46 / Avg: 23.63 / Max: 23.79 Min: 23.98 / Avg: 24.07 / Max: 24.22 Min: 23.52 / Avg: 23.58 / Max: 23.62 Min: 23.02 / Avg: 23.2 / Max: 23.51 Min: 24.14 / Avg: 24.25 / Max: 24.4 Min: 23.14 / Avg: 23.22 / Max: 23.3 Min: 23.3 / Avg: 23.52 / Max: 23.66 Min: 23.5 / Avg: 23.65 / Max: 23.85 Min: 22.36 / Avg: 22.48 / Max: 22.58 Min: 23.73 / Avg: 23.79 / Max: 23.83 Min: 21.81 / Avg: 21.84 / Max: 21.9 Min: 21.26 / Avg: 21.44 / Max: 21.62 Min: 20.87 / Avg: 20.95 / Max: 21.03 Min: 19.95 / Avg: 20 / Max: 20.09 Min: 20.22 / Avg: 20.31 / Max: 20.36 Min: 20.43 / Avg: 20.5 / Max: 20.53
SciMark This test runs the ANSI C version of SciMark 2.0, which is a benchmark for scientific and numerical computing developed by programmers at the National Institute of Standards and Technology. This test is made up of Fast Foruier Transform, Jacobi Successive Over-relaxation, Monte Carlo, Sparse Matrix Multiply, and dense LU matrix factorization benchmarks. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Mflops, More Is Better SciMark 2.0 Computational Test: Dense LU Matrix Factorization EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 200 400 600 800 1000 SE +/- 11.47, N = 3 SE +/- 16.69, N = 3 SE +/- 17.92, N = 3 SE +/- 10.78, N = 3 SE +/- 5.69, N = 3 SE +/- 5.88, N = 3 SE +/- 8.36, N = 3 SE +/- 8.39, N = 3 SE +/- 38.98, N = 3 SE +/- 7.47, N = 3 SE +/- 6.60, N = 3 SE +/- 10.86, N = 3 SE +/- 4.03, N = 3 SE +/- 8.50, N = 3 SE +/- 11.51, N = 3 SE +/- 21.34, N = 3 SE +/- 11.22, N = 3 SE +/- 4.67, N = 3 SE +/- 5.02, N = 3 SE +/- 15.59, N = 3 851.93 887.80 847.88 768.64 762.29 748.18 770.26 752.97 652.80 767.66 766.54 769.74 766.08 726.84 757.12 713.64 716.82 774.32 719.49 725.40 1. (CC) gcc options: -lm
Result Confidence
OpenBenchmarking.org Mflops, More Is Better SciMark 2.0 Computational Test: Dense LU Matrix Factorization EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 160 320 480 640 800 Min: 833.91 / Avg: 851.93 / Max: 873.23 Min: 861.26 / Avg: 887.8 / Max: 918.59 Min: 813.32 / Avg: 847.88 / Max: 873.38 Min: 747.43 / Avg: 768.64 / Max: 782.6 Min: 751.02 / Avg: 762.29 / Max: 769.3 Min: 741.69 / Avg: 748.18 / Max: 759.91 Min: 757.87 / Avg: 770.26 / Max: 786.18 Min: 742.18 / Avg: 752.97 / Max: 769.49 Min: 612.21 / Avg: 652.8 / Max: 730.74 Min: 753.77 / Avg: 767.66 / Max: 779.38 Min: 753.8 / Avg: 766.54 / Max: 775.89 Min: 750.01 / Avg: 769.74 / Max: 787.46 Min: 758.09 / Avg: 766.08 / Max: 770.97 Min: 713.59 / Avg: 726.84 / Max: 742.7 Min: 743.57 / Avg: 757.12 / Max: 780.02 Min: 678.71 / Avg: 713.64 / Max: 752.34 Min: 700.45 / Avg: 716.82 / Max: 738.29 Min: 766.02 / Avg: 774.32 / Max: 782.19 Min: 710.35 / Avg: 719.49 / Max: 727.66 Min: 698.44 / Avg: 725.4 / Max: 752.43 1. (CC) gcc options: -lm
Caffe This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: GoogleNet - Acceleration: CPU - Iterations: 100 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 50K 100K 150K 200K 250K SE +/- 1306.16, N = 3 SE +/- 329.04, N = 3 SE +/- 330.74, N = 3 SE +/- 83.95, N = 3 SE +/- 489.67, N = 3 SE +/- 2682.21, N = 12 SE +/- 3084.79, N = 12 SE +/- 380.24, N = 3 SE +/- 957.14, N = 3 SE +/- 129.37, N = 3 SE +/- 324.32, N = 3 SE +/- 206.99, N = 3 SE +/- 127.33, N = 3 SE +/- 2045.88, N = 3 SE +/- 69.83, N = 3 SE +/- 267.63, N = 3 SE +/- 851.31, N = 3 SE +/- 323.85, N = 3 SE +/- 315.77, N = 3 SE +/- 257.35, N = 3 184637 172494 167810 162845 161679 177549 165786 195590 218984 203437 203772 213475 185776 209600 183027 185308 187798 183100 183925 184509 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
Result Confidence
OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: GoogleNet - Acceleration: CPU - Iterations: 100 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 40K 80K 120K 160K 200K Min: 182918 / Avg: 184637 / Max: 187200 Min: 171844 / Avg: 172494 / Max: 172908 Min: 167261 / Avg: 167809.67 / Max: 168404 Min: 162677 / Avg: 162844.67 / Max: 162936 Min: 160807 / Avg: 161679.33 / Max: 162501 Min: 157259 / Avg: 177549 / Max: 190775 Min: 155868 / Avg: 165785.58 / Max: 190504 Min: 195038 / Avg: 195590 / Max: 196319 Min: 217558 / Avg: 218984 / Max: 220803 Min: 203278 / Avg: 203436.67 / Max: 203693 Min: 203233 / Avg: 203772 / Max: 204354 Min: 213201 / Avg: 213475.33 / Max: 213881 Min: 185553 / Avg: 185776 / Max: 185994 Min: 207151 / Avg: 209599.67 / Max: 213663 Min: 182924 / Avg: 183026.67 / Max: 183160 Min: 184775 / Avg: 185308 / Max: 185617 Min: 186460 / Avg: 187798.33 / Max: 189379 Min: 182465 / Avg: 183099.67 / Max: 183529 Min: 183587 / Avg: 183925 / Max: 184556 Min: 184055 / Avg: 184509 / Max: 184946 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
VP9 libvpx Encoding This is a standard video encoding performance test of Google's libvpx library and the vpxenc command for the VP9/WebM format using a sample 1080p video. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better VP9 libvpx Encoding 1.8.2 Speed: Speed 5 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 6 12 18 24 30 SE +/- 0.06, N = 3 SE +/- 0.10, N = 3 SE +/- 0.23, N = 3 SE +/- 0.11, N = 3 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.11, N = 3 SE +/- 0.05, N = 3 SE +/- 0.18, N = 3 SE +/- 0.15, N = 3 SE +/- 0.08, N = 3 SE +/- 0.16, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.14, N = 3 SE +/- 0.14, N = 3 SE +/- 0.22, N = 3 SE +/- 0.12, N = 3 22.04 22.98 22.33 18.27 18.07 18.46 18.12 18.86 18.40 18.77 18.53 18.44 18.76 17.65 18.97 18.68 18.71 18.23 17.10 18.13 1. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better VP9 libvpx Encoding 1.8.2 Speed: Speed 5 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 5 10 15 20 25 Min: 21.97 / Avg: 22.04 / Max: 22.17 Min: 22.8 / Avg: 22.98 / Max: 23.16 Min: 21.98 / Avg: 22.33 / Max: 22.76 Min: 18.08 / Avg: 18.27 / Max: 18.46 Min: 17.9 / Avg: 18.07 / Max: 18.19 Min: 18.41 / Avg: 18.46 / Max: 18.52 Min: 18.09 / Avg: 18.12 / Max: 18.14 Min: 18.67 / Avg: 18.86 / Max: 19.06 Min: 18.31 / Avg: 18.4 / Max: 18.46 Min: 18.47 / Avg: 18.77 / Max: 19.08 Min: 18.3 / Avg: 18.53 / Max: 18.82 Min: 18.28 / Avg: 18.44 / Max: 18.53 Min: 18.6 / Avg: 18.76 / Max: 19.08 Min: 17.62 / Avg: 17.65 / Max: 17.71 Min: 18.84 / Avg: 18.97 / Max: 19.04 Min: 18.6 / Avg: 18.68 / Max: 18.77 Min: 18.57 / Avg: 18.71 / Max: 18.98 Min: 17.95 / Avg: 18.23 / Max: 18.42 Min: 16.86 / Avg: 17.1 / Max: 17.53 Min: 18 / Avg: 18.13 / Max: 18.37 1. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11
AOM AV1 This is a simple test of the AOMedia AV1 encoder run on the CPU with a sample video file. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 6 Realtime EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 5 10 15 20 25 SE +/- 0.06, N = 3 SE +/- 0.09, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.09, N = 3 SE +/- 0.10, N = 3 SE +/- 0.06, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.14, N = 3 SE +/- 0.04, N = 3 SE +/- 0.10, N = 3 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 18.99 19.50 18.05 14.66 14.78 14.83 14.82 15.80 15.17 15.30 15.44 15.04 15.69 14.53 15.93 15.43 15.04 15.29 14.73 15.11 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 6 Realtime EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 5 10 15 20 25 Min: 18.88 / Avg: 18.99 / Max: 19.07 Min: 19.41 / Avg: 19.5 / Max: 19.68 Min: 17.97 / Avg: 18.05 / Max: 18.15 Min: 14.63 / Avg: 14.66 / Max: 14.72 Min: 14.72 / Avg: 14.78 / Max: 14.86 Min: 14.8 / Avg: 14.83 / Max: 14.86 Min: 14.79 / Avg: 14.82 / Max: 14.85 Min: 15.68 / Avg: 15.8 / Max: 15.97 Min: 15.06 / Avg: 15.17 / Max: 15.37 Min: 15.19 / Avg: 15.3 / Max: 15.39 Min: 15.36 / Avg: 15.44 / Max: 15.56 Min: 15 / Avg: 15.04 / Max: 15.08 Min: 15.55 / Avg: 15.69 / Max: 15.98 Min: 14.47 / Avg: 14.53 / Max: 14.6 Min: 15.78 / Avg: 15.93 / Max: 16.12 Min: 15.28 / Avg: 15.43 / Max: 15.57 Min: 15 / Avg: 15.04 / Max: 15.1 Min: 15.22 / Avg: 15.29 / Max: 15.38 Min: 14.71 / Avg: 14.73 / Max: 14.76 Min: 15.01 / Avg: 15.11 / Max: 15.22 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
Timed Apache Compilation This test times how long it takes to build the Apache HTTPD web server. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Timed Apache Compilation 2.4.41 Time To Compile EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 7 14 21 28 35 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.10, N = 3 SE +/- 0.07, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 23.65 22.87 24.53 26.94 27.21 27.14 27.18 26.41 27.21 26.82 26.81 26.90 26.70 28.52 27.38 28.02 28.79 28.95 30.39 30.66
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed Apache Compilation 2.4.41 Time To Compile EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 7 14 21 28 35 Min: 23.59 / Avg: 23.65 / Max: 23.74 Min: 22.85 / Avg: 22.87 / Max: 22.89 Min: 24.49 / Avg: 24.53 / Max: 24.61 Min: 26.9 / Avg: 26.94 / Max: 26.98 Min: 27.17 / Avg: 27.21 / Max: 27.25 Min: 27.12 / Avg: 27.14 / Max: 27.18 Min: 27.15 / Avg: 27.18 / Max: 27.21 Min: 26.39 / Avg: 26.41 / Max: 26.44 Min: 27.16 / Avg: 27.21 / Max: 27.25 Min: 26.78 / Avg: 26.82 / Max: 26.88 Min: 26.78 / Avg: 26.81 / Max: 26.84 Min: 26.86 / Avg: 26.89 / Max: 26.93 Min: 26.66 / Avg: 26.7 / Max: 26.78 Min: 28.45 / Avg: 28.52 / Max: 28.58 Min: 27.36 / Avg: 27.38 / Max: 27.41 Min: 27.91 / Avg: 28.02 / Max: 28.08 Min: 28.59 / Avg: 28.78 / Max: 28.89 Min: 28.87 / Avg: 28.95 / Max: 29.09 Min: 30.25 / Avg: 30.39 / Max: 30.49 Min: 30.61 / Avg: 30.66 / Max: 30.73
Basis Universal Basis Universal is a GPU texture codoec. This test times how long it takes to convert sRGB PNGs into Basis Univeral assets with various settings. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Basis Universal 1.12 Settings: ETC1S EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 14 28 42 56 70 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 SE +/- 0.19, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.10, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.10, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.42, N = 3 SE +/- 0.27, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 49.59 47.99 53.75 53.05 53.59 53.82 53.66 52.45 54.66 53.31 53.24 53.51 53.71 57.36 55.60 56.98 59.55 60.37 64.23 63.21 1. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Basis Universal 1.12 Settings: ETC1S EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 13 26 39 52 65 Min: 49.5 / Avg: 49.58 / Max: 49.74 Min: 47.94 / Avg: 47.99 / Max: 48.03 Min: 53.37 / Avg: 53.75 / Max: 54.01 Min: 53 / Avg: 53.05 / Max: 53.13 Min: 53.57 / Avg: 53.59 / Max: 53.6 Min: 53.73 / Avg: 53.82 / Max: 53.89 Min: 53.59 / Avg: 53.66 / Max: 53.7 Min: 52.38 / Avg: 52.45 / Max: 52.56 Min: 54.49 / Avg: 54.65 / Max: 54.84 Min: 53.31 / Avg: 53.31 / Max: 53.31 Min: 53.2 / Avg: 53.24 / Max: 53.27 Min: 53.47 / Avg: 53.51 / Max: 53.54 Min: 53.63 / Avg: 53.71 / Max: 53.83 Min: 57.2 / Avg: 57.36 / Max: 57.55 Min: 55.5 / Avg: 55.6 / Max: 55.71 Min: 56.93 / Avg: 56.98 / Max: 57.02 Min: 59.1 / Avg: 59.55 / Max: 60.39 Min: 59.95 / Avg: 60.37 / Max: 60.88 Min: 64.18 / Avg: 64.23 / Max: 64.32 Min: 63.19 / Avg: 63.21 / Max: 63.22 1. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
Bullet Physics Engine This is a benchmark of the Bullet Physics Engine. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Bullet Physics Engine 2.81 Test: 136 Ragdolls EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 0.725 1.45 2.175 2.9 3.625 SE +/- 0.007796, N = 3 SE +/- 0.000813, N = 3 SE +/- 0.002402, N = 3 SE +/- 0.002876, N = 3 SE +/- 0.024969, N = 3 SE +/- 0.003031, N = 3 SE +/- 0.002139, N = 3 SE +/- 0.001339, N = 3 SE +/- 0.000645, N = 3 SE +/- 0.001660, N = 3 SE +/- 0.003620, N = 3 SE +/- 0.002802, N = 3 SE +/- 0.000361, N = 3 SE +/- 0.001591, N = 3 SE +/- 0.004096, N = 3 SE +/- 0.003332, N = 3 SE +/- 0.002712, N = 3 SE +/- 0.005671, N = 3 SE +/- 0.016878, N = 3 SE +/- 0.016890, N = 3 2.570908 2.414850 2.440883 2.812404 2.879442 2.842580 2.847956 2.758205 2.853650 2.826791 2.802039 2.802675 2.801377 2.980562 2.844541 2.936601 2.962278 2.787508 2.996117 3.222167 1. (CXX) g++ options: -O3 -rdynamic -lglut -lGL -lGLU
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Bullet Physics Engine 2.81 Test: 136 Ragdolls EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 2 4 6 8 10 Min: 2.56 / Avg: 2.57 / Max: 2.59 Min: 2.41 / Avg: 2.41 / Max: 2.42 Min: 2.44 / Avg: 2.44 / Max: 2.44 Min: 2.81 / Avg: 2.81 / Max: 2.82 Min: 2.85 / Avg: 2.88 / Max: 2.93 Min: 2.84 / Avg: 2.84 / Max: 2.85 Min: 2.85 / Avg: 2.85 / Max: 2.85 Min: 2.76 / Avg: 2.76 / Max: 2.76 Min: 2.85 / Avg: 2.85 / Max: 2.85 Min: 2.82 / Avg: 2.83 / Max: 2.83 Min: 2.79 / Avg: 2.8 / Max: 2.81 Min: 2.8 / Avg: 2.8 / Max: 2.81 Min: 2.8 / Avg: 2.8 / Max: 2.8 Min: 2.98 / Avg: 2.98 / Max: 2.98 Min: 2.84 / Avg: 2.84 / Max: 2.85 Min: 2.93 / Avg: 2.94 / Max: 2.94 Min: 2.96 / Avg: 2.96 / Max: 2.97 Min: 2.78 / Avg: 2.79 / Max: 2.8 Min: 2.97 / Avg: 3 / Max: 3.03 Min: 3.19 / Avg: 3.22 / Max: 3.25 1. (CXX) g++ options: -O3 -rdynamic -lglut -lGL -lGLU
ECP-CANDLE The CANDLE benchmark codes implement deep learning architectures relevant to problems in cancer. These architectures address problems at different biological scales, specifically problems at the molecular, cellular and population scales. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better ECP-CANDLE 0.3 Benchmark: P3B2 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 200 400 600 800 1000 870.72 906.52 945.92 1098.03 1100.25 1100.05 1102.07 1038.02 1105.99 1053.92 1046.72 1080.92 1060.62 1107.34 1072.30 1043.83 1042.95 1161.30 1043.71 1052.76
InfluxDB This is a benchmark of the InfluxDB open-source time-series database optimized for fast, high-availability storage for IoT and other use-cases. The InfluxDB test profile makes use of InfluxDB Inch for facilitating the benchmarks. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org val/sec, More Is Better InfluxDB 1.8.2 Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 300K 600K 900K 1200K 1500K SE +/- 902.43, N = 3 SE +/- 1967.95, N = 3 SE +/- 3199.10, N = 3 SE +/- 1031.15, N = 3 SE +/- 1410.52, N = 3 SE +/- 1742.78, N = 3 SE +/- 1810.72, N = 3 SE +/- 1437.35, N = 3 SE +/- 1365.15, N = 3 SE +/- 1514.83, N = 3 SE +/- 1795.11, N = 3 SE +/- 1318.45, N = 3 SE +/- 1128.81, N = 3 SE +/- 1041.29, N = 3 SE +/- 1307.15, N = 3 SE +/- 530.40, N = 3 SE +/- 2878.39, N = 3 SE +/- 847.00, N = 3 SE +/- 911.67, N = 3 SE +/- 814.64, N = 3 1401814.5 1410677.5 1291467.3 1278094.7 1274188.2 1190017.2 1280484.3 1307825.7 1259260.4 1296390.3 1289797.0 1279481.9 1270159.2 1175677.7 1210116.8 1183988.8 1145963.1 1129441.6 1073228.3 1059281.8
Result Confidence
OpenBenchmarking.org val/sec, More Is Better InfluxDB 1.8.2 Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 200K 400K 600K 800K 1000K Min: 1400169.2 / Avg: 1401814.5 / Max: 1403279.7 Min: 1407157.4 / Avg: 1410677.47 / Max: 1413962.4 Min: 1285072.9 / Avg: 1291467.3 / Max: 1294855.3 Min: 1276351.8 / Avg: 1278094.67 / Max: 1279920.9 Min: 1271782.9 / Avg: 1274188.2 / Max: 1276667.4 Min: 1186907.2 / Avg: 1190017.17 / Max: 1192935.2 Min: 1277193.7 / Avg: 1280484.33 / Max: 1283439.2 Min: 1306196.3 / Avg: 1307825.67 / Max: 1310691.4 Min: 1256647.8 / Avg: 1259260.37 / Max: 1261253.5 Min: 1294128.4 / Avg: 1296390.27 / Max: 1299266.8 Min: 1286617.4 / Avg: 1289796.97 / Max: 1292830.7 Min: 1277352.9 / Avg: 1279481.93 / Max: 1281893.8 Min: 1268537.9 / Avg: 1270159.17 / Max: 1272330.4 Min: 1173832.4 / Avg: 1175677.7 / Max: 1177436.4 Min: 1207654.4 / Avg: 1210116.8 / Max: 1212108.5 Min: 1182962.1 / Avg: 1183988.77 / Max: 1184733.3 Min: 1142348.1 / Avg: 1145963.13 / Max: 1151650.6 Min: 1127792.3 / Avg: 1129441.57 / Max: 1130601.1 Min: 1072178.8 / Avg: 1073228.3 / Max: 1075044.3 Min: 1057657.4 / Avg: 1059281.83 / Max: 1060202.8
Bullet Physics Engine This is a benchmark of the Bullet Physics Engine. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Bullet Physics Engine 2.81 Test: 1000 Stack EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 2 4 6 8 10 SE +/- 0.009253, N = 3 SE +/- 0.004480, N = 3 SE +/- 0.013545, N = 3 SE +/- 0.019618, N = 3 SE +/- 0.002452, N = 3 SE +/- 0.021564, N = 3 SE +/- 0.000987, N = 3 SE +/- 0.004603, N = 3 SE +/- 0.005066, N = 3 SE +/- 0.002525, N = 3 SE +/- 0.001157, N = 3 SE +/- 0.009361, N = 3 SE +/- 0.011697, N = 3 SE +/- 0.005105, N = 3 SE +/- 0.004193, N = 3 SE +/- 0.014814, N = 3 SE +/- 0.004122, N = 3 SE +/- 0.020038, N = 3 SE +/- 0.038424, N = 3 SE +/- 0.008403, N = 3 4.956801 4.590949 4.638079 5.349437 5.407218 5.411095 5.382421 5.222480 5.406158 5.303184 5.312421 5.308740 5.318605 5.655470 5.390151 5.588216 5.673728 5.265369 5.723526 6.090507 1. (CXX) g++ options: -O3 -rdynamic -lglut -lGL -lGLU
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Bullet Physics Engine 2.81 Test: 1000 Stack EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 2 4 6 8 10 Min: 4.94 / Avg: 4.96 / Max: 4.97 Min: 4.58 / Avg: 4.59 / Max: 4.6 Min: 4.61 / Avg: 4.64 / Max: 4.66 Min: 5.33 / Avg: 5.35 / Max: 5.39 Min: 5.4 / Avg: 5.41 / Max: 5.41 Min: 5.39 / Avg: 5.41 / Max: 5.45 Min: 5.38 / Avg: 5.38 / Max: 5.38 Min: 5.22 / Avg: 5.22 / Max: 5.23 Min: 5.4 / Avg: 5.41 / Max: 5.42 Min: 5.3 / Avg: 5.3 / Max: 5.31 Min: 5.31 / Avg: 5.31 / Max: 5.31 Min: 5.3 / Avg: 5.31 / Max: 5.33 Min: 5.3 / Avg: 5.32 / Max: 5.34 Min: 5.65 / Avg: 5.66 / Max: 5.66 Min: 5.38 / Avg: 5.39 / Max: 5.39 Min: 5.56 / Avg: 5.59 / Max: 5.62 Min: 5.67 / Avg: 5.67 / Max: 5.68 Min: 5.23 / Avg: 5.27 / Max: 5.29 Min: 5.66 / Avg: 5.72 / Max: 5.79 Min: 6.08 / Avg: 6.09 / Max: 6.11 1. (CXX) g++ options: -O3 -rdynamic -lglut -lGL -lGLU
Nebular Empirical Analysis Tool NEAT is the Nebular Empirical Analysis Tool for empirical analysis of ionised nebulae, with uncertainty propagation. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Nebular Empirical Analysis Tool 2020-02-29 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 5 10 15 20 25 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 15.31 15.40 16.89 16.52 16.05 15.89 15.77 15.56 16.38 15.72 15.73 15.89 16.10 16.88 16.93 16.67 17.24 18.93 20.01 20.30 1. (F9X) gfortran options: -cpp -ffree-line-length-0 -Jsource/ -fopenmp -O3 -fno-backtrace
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Nebular Empirical Analysis Tool 2020-02-29 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 5 10 15 20 25 Min: 15.27 / Avg: 15.31 / Max: 15.36 Min: 15.39 / Avg: 15.4 / Max: 15.42 Min: 16.87 / Avg: 16.89 / Max: 16.95 Min: 16.49 / Avg: 16.52 / Max: 16.55 Min: 16.04 / Avg: 16.05 / Max: 16.06 Min: 15.87 / Avg: 15.89 / Max: 15.91 Min: 15.75 / Avg: 15.77 / Max: 15.78 Min: 15.54 / Avg: 15.56 / Max: 15.57 Min: 16.33 / Avg: 16.38 / Max: 16.46 Min: 15.7 / Avg: 15.72 / Max: 15.74 Min: 15.7 / Avg: 15.73 / Max: 15.76 Min: 15.85 / Avg: 15.89 / Max: 15.96 Min: 16.05 / Avg: 16.1 / Max: 16.12 Min: 16.78 / Avg: 16.88 / Max: 16.95 Min: 16.87 / Avg: 16.93 / Max: 17 Min: 16.65 / Avg: 16.66 / Max: 16.68 Min: 17.2 / Avg: 17.24 / Max: 17.28 Min: 18.9 / Avg: 18.93 / Max: 18.96 Min: 19.99 / Avg: 20.01 / Max: 20.03 Min: 20.28 / Avg: 20.3 / Max: 20.33 1. (F9X) gfortran options: -cpp -ffree-line-length-0 -Jsource/ -fopenmp -O3 -fno-backtrace
Basis Universal Basis Universal is a GPU texture codoec. This test times how long it takes to convert sRGB PNGs into Basis Univeral assets with various settings. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Basis Universal 1.12 Settings: UASTC Level 0 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 SE +/- 0.017, N = 3 SE +/- 0.013, N = 3 SE +/- 0.017, N = 3 SE +/- 0.023, N = 3 SE +/- 0.031, N = 3 SE +/- 0.012, N = 3 SE +/- 0.023, N = 3 SE +/- 0.019, N = 3 SE +/- 0.008, N = 3 SE +/- 0.010, N = 3 SE +/- 0.009, N = 3 SE +/- 0.029, N = 3 SE +/- 0.023, N = 3 SE +/- 0.020, N = 3 SE +/- 0.007, N = 3 SE +/- 0.021, N = 3 SE +/- 0.034, N = 3 SE +/- 0.006, N = 3 SE +/- 0.034, N = 3 SE +/- 0.043, N = 3 7.639 7.452 8.156 8.151 8.206 8.232 8.286 8.053 8.343 8.195 8.174 8.251 8.282 8.815 8.894 8.934 9.236 9.270 9.854 9.746 1. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Basis Universal 1.12 Settings: UASTC Level 0 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 Min: 7.61 / Avg: 7.64 / Max: 7.66 Min: 7.44 / Avg: 7.45 / Max: 7.48 Min: 8.12 / Avg: 8.16 / Max: 8.18 Min: 8.11 / Avg: 8.15 / Max: 8.18 Min: 8.15 / Avg: 8.21 / Max: 8.26 Min: 8.21 / Avg: 8.23 / Max: 8.25 Min: 8.24 / Avg: 8.29 / Max: 8.31 Min: 8.03 / Avg: 8.05 / Max: 8.09 Min: 8.33 / Avg: 8.34 / Max: 8.36 Min: 8.18 / Avg: 8.2 / Max: 8.21 Min: 8.16 / Avg: 8.17 / Max: 8.19 Min: 8.22 / Avg: 8.25 / Max: 8.31 Min: 8.26 / Avg: 8.28 / Max: 8.33 Min: 8.78 / Avg: 8.81 / Max: 8.84 Min: 8.89 / Avg: 8.89 / Max: 8.91 Min: 8.9 / Avg: 8.93 / Max: 8.98 Min: 9.19 / Avg: 9.24 / Max: 9.3 Min: 9.26 / Avg: 9.27 / Max: 9.28 Min: 9.79 / Avg: 9.85 / Max: 9.89 Min: 9.7 / Avg: 9.75 / Max: 9.83 1. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
LibRaw LibRaw is a RAW image decoder for digital camera photos. This test profile runs LibRaw's post-processing benchmark. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Mpix/sec, More Is Better LibRaw 0.20 Post-Processing Benchmark EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 8 16 24 32 40 SE +/- 0.04, N = 3 SE +/- 0.08, N = 3 SE +/- 0.24, N = 3 SE +/- 0.09, N = 3 SE +/- 0.17, N = 3 SE +/- 0.03, N = 3 SE +/- 0.23, N = 3 SE +/- 0.32, N = 3 SE +/- 0.22, N = 3 SE +/- 0.04, N = 3 SE +/- 0.22, N = 3 SE +/- 0.16, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.26, N = 3 SE +/- 0.11, N = 3 SE +/- 0.28, N = 3 SE +/- 0.35, N = 3 35.17 36.57 32.86 32.87 32.70 31.25 31.63 32.68 31.34 32.80 32.56 32.12 32.31 30.09 32.18 31.16 29.00 30.29 27.69 29.20 1. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm
Result Confidence
OpenBenchmarking.org Mpix/sec, More Is Better LibRaw 0.20 Post-Processing Benchmark EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 8 16 24 32 40 Min: 35.13 / Avg: 35.17 / Max: 35.25 Min: 36.4 / Avg: 36.57 / Max: 36.67 Min: 32.38 / Avg: 32.86 / Max: 33.16 Min: 32.7 / Avg: 32.87 / Max: 32.97 Min: 32.38 / Avg: 32.7 / Max: 32.95 Min: 31.21 / Avg: 31.25 / Max: 31.31 Min: 31.19 / Avg: 31.63 / Max: 31.98 Min: 32.06 / Avg: 32.68 / Max: 33.09 Min: 30.9 / Avg: 31.34 / Max: 31.56 Min: 32.75 / Avg: 32.8 / Max: 32.88 Min: 32.13 / Avg: 32.56 / Max: 32.84 Min: 31.84 / Avg: 32.12 / Max: 32.39 Min: 32.25 / Avg: 32.31 / Max: 32.38 Min: 29.97 / Avg: 30.09 / Max: 30.17 Min: 32.16 / Avg: 32.18 / Max: 32.19 Min: 31.08 / Avg: 31.16 / Max: 31.2 Min: 28.53 / Avg: 29 / Max: 29.41 Min: 30.11 / Avg: 30.29 / Max: 30.49 Min: 27.15 / Avg: 27.69 / Max: 28.04 Min: 28.59 / Avg: 29.2 / Max: 29.79 1. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm
Himeno Benchmark The Himeno benchmark is a linear solver of pressure Poisson using a point-Jacobi method. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org MFLOPS, More Is Better Himeno Benchmark 3.0 Poisson Pressure Solver EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 1000 2000 3000 4000 5000 SE +/- 42.67, N = 15 SE +/- 47.65, N = 3 SE +/- 46.79, N = 5 SE +/- 56.97, N = 15 SE +/- 39.43, N = 3 SE +/- 62.88, N = 13 SE +/- 46.38, N = 15 SE +/- 62.71, N = 3 SE +/- 37.40, N = 3 SE +/- 22.02, N = 3 SE +/- 18.16, N = 3 SE +/- 63.25, N = 3 SE +/- 26.53, N = 3 SE +/- 41.76, N = 5 SE +/- 28.74, N = 3 SE +/- 17.16, N = 3 SE +/- 61.81, N = 3 SE +/- 27.91, N = 3 SE +/- 41.94, N = 3 SE +/- 59.72, N = 3 4212.78 4470.49 3976.82 3700.30 3882.01 3740.51 3760.37 3917.15 3451.28 3971.30 3937.80 3881.51 3868.68 3386.62 3927.11 3726.02 3588.51 3611.31 3667.41 3688.59 1. (CC) gcc options: -O3 -mavx2
Result Confidence
OpenBenchmarking.org MFLOPS, More Is Better Himeno Benchmark 3.0 Poisson Pressure Solver EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 800 1600 2400 3200 4000 Min: 3740.22 / Avg: 4212.78 / Max: 4364.86 Min: 4412.42 / Avg: 4470.49 / Max: 4564.96 Min: 3868.41 / Avg: 3976.82 / Max: 4100.49 Min: 3308.25 / Avg: 3700.3 / Max: 4010.2 Min: 3818.26 / Avg: 3882.01 / Max: 3954.08 Min: 3086.64 / Avg: 3740.51 / Max: 3933.23 Min: 3248.17 / Avg: 3760.37 / Max: 3959.03 Min: 3799.52 / Avg: 3917.15 / Max: 4013.65 Min: 3381.62 / Avg: 3451.28 / Max: 3509.7 Min: 3927.26 / Avg: 3971.3 / Max: 3993.41 Min: 3901.88 / Avg: 3937.8 / Max: 3960.41 Min: 3763.86 / Avg: 3881.51 / Max: 3980.62 Min: 3834.8 / Avg: 3868.68 / Max: 3920.99 Min: 3300.1 / Avg: 3386.62 / Max: 3537.19 Min: 3869.82 / Avg: 3927.11 / Max: 3959.84 Min: 3693 / Avg: 3726.02 / Max: 3750.66 Min: 3495.49 / Avg: 3588.51 / Max: 3705.53 Min: 3565.39 / Avg: 3611.31 / Max: 3661.75 Min: 3608.56 / Avg: 3667.41 / Max: 3748.59 Min: 3570.78 / Avg: 3688.59 / Max: 3764.52 1. (CC) gcc options: -O3 -mavx2
ECP-CANDLE The CANDLE benchmark codes implement deep learning architectures relevant to problems in cancer. These architectures address problems at different biological scales, specifically problems at the molecular, cellular and population scales. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better ECP-CANDLE 0.3 Benchmark: P3B1 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 200 400 600 800 1000 619.74 699.50 762.90 770.65 755.11 734.24 725.77 667.86 737.06 682.90 686.79 694.08 672.93 699.94 679.00 713.90 689.57 816.12 807.88 796.72
PostgreSQL pgbench This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 1 - Mode: Read Only - Average Latency EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 0.0104 0.0208 0.0312 0.0416 0.052 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 4 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 0.040 0.040 0.039 0.035 0.036 0.038 0.038 0.036 0.042 0.037 0.037 0.036 0.037 0.039 0.043 0.036 0.036 0.046 0.044 0.044 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 1 - Mode: Read Only - Average Latency EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 1 2 3 4 5 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.04 / Avg: 0.04 / Max: 0.05 Min: 0.04 / Avg: 0.04 / Max: 0.04 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
TNN TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better TNN 0.2.3 Target: CPU - Model: MobileNet v2 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 80 160 240 320 400 SE +/- 0.27, N = 3 SE +/- 0.77, N = 3 SE +/- 0.05, N = 3 SE +/- 1.24, N = 3 SE +/- 4.04, N = 3 SE +/- 1.34, N = 3 SE +/- 1.79, N = 3 SE +/- 0.39, N = 3 SE +/- 0.14, N = 3 SE +/- 1.84, N = 3 SE +/- 0.33, N = 3 SE +/- 1.03, N = 3 SE +/- 0.56, N = 3 SE +/- 2.06, N = 3 SE +/- 0.41, N = 3 SE +/- 0.74, N = 3 SE +/- 1.01, N = 3 SE +/- 1.31, N = 3 SE +/- 0.82, N = 3 SE +/- 0.74, N = 3 297.78 280.01 273.03 340.47 340.47 339.74 332.40 322.45 341.63 324.95 329.73 329.83 325.88 355.28 331.74 332.32 335.26 318.66 336.71 332.86 1. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better TNN 0.2.3 Target: CPU - Model: MobileNet v2 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 60 120 180 240 300 Min: 297.27 / Avg: 297.78 / Max: 298.2 Min: 278.81 / Avg: 280.01 / Max: 281.44 Min: 272.98 / Avg: 273.03 / Max: 273.13 Min: 338.86 / Avg: 340.47 / Max: 342.91 Min: 335.17 / Avg: 340.47 / Max: 348.41 Min: 338.1 / Avg: 339.74 / Max: 342.39 Min: 329.08 / Avg: 332.4 / Max: 335.2 Min: 322.03 / Avg: 322.45 / Max: 323.23 Min: 341.48 / Avg: 341.63 / Max: 341.9 Min: 321.27 / Avg: 324.95 / Max: 326.89 Min: 329.06 / Avg: 329.73 / Max: 330.13 Min: 328.48 / Avg: 329.83 / Max: 331.86 Min: 324.89 / Avg: 325.88 / Max: 326.82 Min: 351.77 / Avg: 355.28 / Max: 358.9 Min: 331.09 / Avg: 331.74 / Max: 332.5 Min: 330.91 / Avg: 332.32 / Max: 333.45 Min: 333.82 / Avg: 335.26 / Max: 337.2 Min: 317.11 / Avg: 318.66 / Max: 321.26 Min: 335.1 / Avg: 336.71 / Max: 337.79 Min: 331.66 / Avg: 332.86 / Max: 334.2 1. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
DaCapo Benchmark This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 9.12-MR1 Java Test: Jython EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 1200 2400 3600 4800 6000 SE +/- 19.39, N = 4 SE +/- 18.72, N = 4 SE +/- 30.31, N = 4 SE +/- 5.61, N = 4 SE +/- 8.68, N = 4 SE +/- 26.63, N = 4 SE +/- 2.06, N = 4 SE +/- 6.71, N = 4 SE +/- 16.79, N = 4 SE +/- 23.46, N = 4 SE +/- 18.30, N = 4 SE +/- 10.06, N = 4 SE +/- 8.63, N = 4 SE +/- 13.86, N = 4 SE +/- 20.47, N = 4 SE +/- 13.83, N = 4 SE +/- 19.97, N = 4 SE +/- 26.34, N = 4 SE +/- 69.56, N = 5 SE +/- 15.06, N = 4 4671 4462 4653 5188 5243 5239 5207 5077 5271 5134 5150 5168 5160 5530 5268 5358 5563 5183 5795 5554
Result Confidence
OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 9.12-MR1 Java Test: Jython EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 1000 2000 3000 4000 5000 Min: 4627 / Avg: 4671 / Max: 4711 Min: 4430 / Avg: 4461.75 / Max: 4507 Min: 4584 / Avg: 4653.25 / Max: 4730 Min: 5179 / Avg: 5187.5 / Max: 5204 Min: 5228 / Avg: 5243.25 / Max: 5267 Min: 5192 / Avg: 5238.75 / Max: 5315 Min: 5202 / Avg: 5207.25 / Max: 5211 Min: 5063 / Avg: 5076.75 / Max: 5093 Min: 5250 / Avg: 5271.25 / Max: 5321 Min: 5065 / Avg: 5133.5 / Max: 5168 Min: 5106 / Avg: 5149.75 / Max: 5190 Min: 5149 / Avg: 5167.75 / Max: 5191 Min: 5139 / Avg: 5159.75 / Max: 5178 Min: 5509 / Avg: 5530 / Max: 5570 Min: 5226 / Avg: 5268 / Max: 5324 Min: 5328 / Avg: 5358 / Max: 5382 Min: 5507 / Avg: 5563.25 / Max: 5595 Min: 5121 / Avg: 5182.5 / Max: 5243 Min: 5582 / Avg: 5794.8 / Max: 5963 Min: 5524 / Avg: 5554.25 / Max: 5594
PostgreSQL pgbench This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 1 - Mode: Read Only EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 5K 10K 15K 20K 25K SE +/- 270.77, N = 3 SE +/- 183.28, N = 3 SE +/- 113.70, N = 3 SE +/- 195.08, N = 15 SE +/- 311.13, N = 4 SE +/- 180.38, N = 3 SE +/- 221.45, N = 10 SE +/- 298.28, N = 3 SE +/- 96.86, N = 3 SE +/- 235.87, N = 3 SE +/- 259.85, N = 3 SE +/- 215.55, N = 3 SE +/- 141.59, N = 3 SE +/- 348.84, N = 3 SE +/- 92.58, N = 3 SE +/- 103.25, N = 3 SE +/- 373.32, N = 3 SE +/- 66.93, N = 3 SE +/- 75.31, N = 3 SE +/- 137.01, N = 3 21045 21127 21290 23480 23097 22639 23450 23973 20280 23150 23270 22692 22743 21306 20705 23230 22863 18535 18878 19607 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result Confidence
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 1 - Mode: Read Only EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 4K 8K 12K 16K 20K Min: 20547.72 / Avg: 21044.59 / Max: 21479.57 Min: 20930.71 / Avg: 21126.73 / Max: 21493 Min: 21063.19 / Avg: 21289.58 / Max: 21421.19 Min: 22482.8 / Avg: 23479.62 / Max: 24923.3 Min: 22465.14 / Avg: 23097.1 / Max: 23890.97 Min: 22278.71 / Avg: 22639.45 / Max: 22823.9 Min: 22549.87 / Avg: 23450.11 / Max: 24645.45 Min: 23414.19 / Avg: 23973.07 / Max: 24433.21 Min: 20177.79 / Avg: 20280.37 / Max: 20473.98 Min: 22682.59 / Avg: 23150.17 / Max: 23438.09 Min: 22857.29 / Avg: 23269.7 / Max: 23749.77 Min: 22374.23 / Avg: 22691.94 / Max: 23103.15 Min: 22481.63 / Avg: 22742.66 / Max: 22968.25 Min: 20657.44 / Avg: 21306.03 / Max: 21852.97 Min: 20538.04 / Avg: 20704.74 / Max: 20857.89 Min: 23038.03 / Avg: 23230.17 / Max: 23391.76 Min: 22130.03 / Avg: 22863.19 / Max: 23352.09 Min: 18451.75 / Avg: 18535.19 / Max: 18667.56 Min: 18730.54 / Avg: 18878.12 / Max: 18977.97 Min: 19334.71 / Avg: 19607.37 / Max: 19767.3 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 1 - Mode: Read Only EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 6K 12K 18K 24K 30K SE +/- 83.49, N = 3 SE +/- 285.78, N = 3 SE +/- 131.48, N = 3 SE +/- 331.01, N = 3 SE +/- 291.09, N = 3 SE +/- 239.87, N = 3 SE +/- 286.26, N = 3 SE +/- 350.21, N = 4 SE +/- 151.40, N = 3 SE +/- 237.04, N = 3 SE +/- 152.92, N = 3 SE +/- 244.15, N = 3 SE +/- 314.26, N = 3 SE +/- 230.00, N = 3 SE +/- 98.18, N = 3 SE +/- 38.55, N = 3 SE +/- 213.38, N = 3 SE +/- 33.02, N = 3 SE +/- 169.29, N = 3 SE +/- 121.60, N = 3 25032 25249 25644 28221 27597 26337 26679 27450 24032 27309 27460 28092 27089 25430 23451 28158 27558 21829 22534 22727 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result Confidence
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 1 - Mode: Read Only EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 5K 10K 15K 20K 25K Min: 24930.7 / Avg: 25031.81 / Max: 25197.44 Min: 24734.57 / Avg: 25249.37 / Max: 25721.82 Min: 25466.37 / Avg: 25644.39 / Max: 25901 Min: 27573.78 / Avg: 28221.33 / Max: 28664.34 Min: 27036.41 / Avg: 27596.92 / Max: 28013.43 Min: 25860.1 / Avg: 26337.19 / Max: 26619.37 Min: 26360.32 / Avg: 26678.72 / Max: 27249.99 Min: 26711.61 / Avg: 27449.98 / Max: 28327.42 Min: 23806.11 / Avg: 24031.52 / Max: 24319.31 Min: 26918.38 / Avg: 27308.99 / Max: 27736.97 Min: 27243.42 / Avg: 27460.47 / Max: 27755.6 Min: 27663.45 / Avg: 28092.27 / Max: 28508.95 Min: 26753.58 / Avg: 27089.36 / Max: 27717.37 Min: 25055.95 / Avg: 25429.68 / Max: 25848.82 Min: 23322.1 / Avg: 23450.61 / Max: 23643.44 Min: 28092.62 / Avg: 28158.38 / Max: 28226.11 Min: 27157.63 / Avg: 27558.06 / Max: 27886.05 Min: 21781.12 / Avg: 21828.7 / Max: 21892.14 Min: 22204.48 / Avg: 22534.1 / Max: 22765.92 Min: 22577.93 / Avg: 22726.96 / Max: 22967.91 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Timed MAFFT Alignment This test performs an alignment of 100 pyruvate decarboxylase sequences. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Timed MAFFT Alignment 7.471 Multiple Sequence Alignment - LSU RNA EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 SE +/- 0.011, N = 3 SE +/- 0.095, N = 3 SE +/- 0.036, N = 3 SE +/- 0.051, N = 3 SE +/- 0.138, N = 3 SE +/- 0.041, N = 3 SE +/- 0.110, N = 3 SE +/- 0.041, N = 3 SE +/- 0.051, N = 3 SE +/- 0.036, N = 3 SE +/- 0.038, N = 3 SE +/- 0.044, N = 3 SE +/- 0.039, N = 3 SE +/- 0.065, N = 3 SE +/- 0.045, N = 3 SE +/- 0.057, N = 3 SE +/- 0.067, N = 3 SE +/- 0.001, N = 3 SE +/- 0.087, N = 3 SE +/- 0.113, N = 3 9.331 8.801 8.928 10.230 10.326 10.267 10.335 10.036 10.263 10.157 10.085 10.288 10.064 10.801 10.197 10.375 10.689 10.039 10.814 11.376 1. (CC) gcc options: -std=c99 -O3 -lm -lpthread
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed MAFFT Alignment 7.471 Multiple Sequence Alignment - LSU RNA EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 Min: 9.32 / Avg: 9.33 / Max: 9.35 Min: 8.61 / Avg: 8.8 / Max: 8.91 Min: 8.86 / Avg: 8.93 / Max: 8.98 Min: 10.16 / Avg: 10.23 / Max: 10.33 Min: 10.17 / Avg: 10.33 / Max: 10.6 Min: 10.2 / Avg: 10.27 / Max: 10.34 Min: 10.2 / Avg: 10.33 / Max: 10.55 Min: 9.96 / Avg: 10.04 / Max: 10.09 Min: 10.21 / Avg: 10.26 / Max: 10.37 Min: 10.09 / Avg: 10.16 / Max: 10.22 Min: 10.02 / Avg: 10.09 / Max: 10.15 Min: 10.23 / Avg: 10.29 / Max: 10.37 Min: 9.99 / Avg: 10.06 / Max: 10.12 Min: 10.73 / Avg: 10.8 / Max: 10.93 Min: 10.11 / Avg: 10.2 / Max: 10.27 Min: 10.3 / Avg: 10.37 / Max: 10.49 Min: 10.56 / Avg: 10.69 / Max: 10.78 Min: 10.04 / Avg: 10.04 / Max: 10.04 Min: 10.67 / Avg: 10.81 / Max: 10.97 Min: 11.16 / Avg: 11.38 / Max: 11.53 1. (CC) gcc options: -std=c99 -O3 -lm -lpthread
AOM AV1 This is a simple test of the AOMedia AV1 encoder run on the CPU with a sample video file. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 4 Two-Pass EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 0.5468 1.0936 1.6404 2.1872 2.734 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 2.30 2.43 2.29 2.04 2.02 2.03 2.03 2.11 2.03 2.08 2.07 2.07 2.08 1.95 2.06 2.01 1.95 1.98 1.88 1.90 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 4 Two-Pass EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 2 4 6 8 10 Min: 2.3 / Avg: 2.3 / Max: 2.3 Min: 2.42 / Avg: 2.43 / Max: 2.44 Min: 2.28 / Avg: 2.29 / Max: 2.31 Min: 2.03 / Avg: 2.04 / Max: 2.05 Min: 2.02 / Avg: 2.02 / Max: 2.03 Min: 2.03 / Avg: 2.03 / Max: 2.03 Min: 2.03 / Avg: 2.03 / Max: 2.04 Min: 2.1 / Avg: 2.11 / Max: 2.12 Min: 2.03 / Avg: 2.03 / Max: 2.04 Min: 2.07 / Avg: 2.08 / Max: 2.09 Min: 2.06 / Avg: 2.07 / Max: 2.07 Min: 2.06 / Avg: 2.07 / Max: 2.07 Min: 2.08 / Avg: 2.08 / Max: 2.09 Min: 1.94 / Avg: 1.95 / Max: 1.97 Min: 2.05 / Avg: 2.06 / Max: 2.07 Min: 2.01 / Avg: 2.01 / Max: 2.02 Min: 1.95 / Avg: 1.95 / Max: 1.95 Min: 1.97 / Avg: 1.98 / Max: 1.98 Min: 1.88 / Avg: 1.88 / Max: 1.89 Min: 1.89 / Avg: 1.9 / Max: 1.9 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
Numpy Benchmark This is a test to obtain the general Numpy performance. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Score, More Is Better Numpy Benchmark EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 70 140 210 280 350 SE +/- 0.60, N = 3 SE +/- 0.25, N = 3 SE +/- 0.52, N = 3 SE +/- 0.71, N = 3 SE +/- 0.31, N = 3 SE +/- 1.72, N = 3 SE +/- 1.91, N = 3 SE +/- 0.74, N = 3 SE +/- 1.18, N = 3 SE +/- 1.20, N = 3 SE +/- 0.70, N = 3 SE +/- 0.39, N = 3 SE +/- 0.37, N = 3 SE +/- 0.78, N = 3 SE +/- 0.21, N = 3 SE +/- 0.49, N = 3 SE +/- 1.55, N = 3 SE +/- 0.94, N = 3 SE +/- 1.06, N = 3 SE +/- 0.59, N = 3 318.42 338.78 334.49 299.00 293.14 292.04 295.56 304.52 294.22 300.32 302.31 301.55 299.52 285.63 296.95 290.46 286.69 301.92 285.87 262.38
Result Confidence
OpenBenchmarking.org Score, More Is Better Numpy Benchmark EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 60 120 180 240 300 Min: 317.22 / Avg: 318.42 / Max: 319.05 Min: 338.28 / Avg: 338.78 / Max: 339.09 Min: 333.83 / Avg: 334.49 / Max: 335.52 Min: 297.69 / Avg: 299 / Max: 300.14 Min: 292.52 / Avg: 293.14 / Max: 293.46 Min: 288.63 / Avg: 292.04 / Max: 294.16 Min: 293.07 / Avg: 295.56 / Max: 299.32 Min: 303.14 / Avg: 304.52 / Max: 305.68 Min: 292.64 / Avg: 294.22 / Max: 296.53 Min: 298.01 / Avg: 300.32 / Max: 302.05 Min: 301.26 / Avg: 302.31 / Max: 303.63 Min: 300.83 / Avg: 301.55 / Max: 302.18 Min: 298.99 / Avg: 299.52 / Max: 300.22 Min: 284.14 / Avg: 285.63 / Max: 286.75 Min: 296.74 / Avg: 296.95 / Max: 297.36 Min: 289.5 / Avg: 290.46 / Max: 291.13 Min: 283.82 / Avg: 286.69 / Max: 289.14 Min: 300.3 / Avg: 301.92 / Max: 303.55 Min: 284.04 / Avg: 285.87 / Max: 287.7 Min: 261.34 / Avg: 262.38 / Max: 263.38
Rodinia Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP HotSpot3D EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 30 60 90 120 150 SE +/- 0.02, N = 3 SE +/- 0.28, N = 3 SE +/- 1.34, N = 3 SE +/- 0.78, N = 3 SE +/- 0.70, N = 3 SE +/- 0.27, N = 3 SE +/- 0.68, N = 3 SE +/- 0.61, N = 3 SE +/- 0.48, N = 3 SE +/- 0.61, N = 3 SE +/- 0.10, N = 3 SE +/- 0.70, N = 3 SE +/- 0.64, N = 3 SE +/- 0.67, N = 3 SE +/- 0.03, N = 3 SE +/- 0.79, N = 3 SE +/- 1.22, N = 7 SE +/- 1.16, N = 6 SE +/- 1.52, N = 3 SE +/- 0.67, N = 3 97.84 90.77 95.40 111.03 107.25 108.65 107.44 104.22 107.17 105.44 104.76 106.27 105.42 112.87 106.23 109.74 112.75 105.10 117.16 109.88 1. (CXX) g++ options: -O2 -lOpenCL
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP HotSpot3D EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 20 40 60 80 100 Min: 97.81 / Avg: 97.84 / Max: 97.86 Min: 90.42 / Avg: 90.77 / Max: 91.33 Min: 92.75 / Avg: 95.4 / Max: 97.06 Min: 109.9 / Avg: 111.03 / Max: 112.54 Min: 106.3 / Avg: 107.25 / Max: 108.62 Min: 108.37 / Avg: 108.65 / Max: 109.18 Min: 106.6 / Avg: 107.44 / Max: 108.79 Min: 103.43 / Avg: 104.22 / Max: 105.42 Min: 106.36 / Avg: 107.17 / Max: 108.03 Min: 104.66 / Avg: 105.44 / Max: 106.63 Min: 104.62 / Avg: 104.76 / Max: 104.95 Min: 104.87 / Avg: 106.27 / Max: 106.98 Min: 104.56 / Avg: 105.42 / Max: 106.68 Min: 112.12 / Avg: 112.87 / Max: 114.21 Min: 106.17 / Avg: 106.23 / Max: 106.28 Min: 108.16 / Avg: 109.74 / Max: 110.58 Min: 109.7 / Avg: 112.75 / Max: 117.75 Min: 103.25 / Avg: 105.1 / Max: 110.63 Min: 114.36 / Avg: 117.16 / Max: 119.57 Min: 108.53 / Avg: 109.88 / Max: 110.59 1. (CXX) g++ options: -O2 -lOpenCL
Perl Benchmarks Perl benchmark suite that can be used to compare the relative speed of different versions of perl. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Perl Benchmarks Test: Pod2html EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 0.0369 0.0738 0.1107 0.1476 0.1845 SE +/- 0.00157658, N = 3 SE +/- 0.00030324, N = 3 SE +/- 0.00090133, N = 3 SE +/- 0.00157735, N = 3 SE +/- 0.00121073, N = 3 SE +/- 0.00073159, N = 3 SE +/- 0.00111418, N = 3 SE +/- 0.00213584, N = 4 SE +/- 0.00052958, N = 3 SE +/- 0.00218365, N = 4 SE +/- 0.00097007, N = 3 SE +/- 0.00121635, N = 3 SE +/- 0.00092600, N = 3 SE +/- 0.00270938, N = 3 SE +/- 0.00074092, N = 3 SE +/- 0.00034313, N = 3 SE +/- 0.00145393, N = 3 SE +/- 0.00046540, N = 3 SE +/- 0.00118082, N = 3 SE +/- 0.00032749, N = 3 0.13268829 0.12735546 0.13005008 0.14786624 0.15099278 0.15034787 0.15077001 0.14391032 0.15176894 0.15202995 0.14899437 0.14815314 0.14753880 0.16397222 0.15036750 0.15535128 0.15500763 0.14928622 0.15815164 0.15760242
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Perl Benchmarks Test: Pod2html EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 1 2 3 4 5 Min: 0.13 / Avg: 0.13 / Max: 0.14 Min: 0.13 / Avg: 0.13 / Max: 0.13 Min: 0.13 / Avg: 0.13 / Max: 0.13 Min: 0.14 / Avg: 0.15 / Max: 0.15 Min: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.14 / Avg: 0.14 / Max: 0.15 Min: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.15 / Avg: 0.15 / Max: 0.16 Min: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.16 / Avg: 0.16 / Max: 0.17 Min: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.15 / Avg: 0.16 / Max: 0.16 Min: 0.15 / Avg: 0.16 / Max: 0.16 Min: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.16 / Avg: 0.16 / Max: 0.16 Min: 0.16 / Avg: 0.16 / Max: 0.16
InfluxDB This is a benchmark of the InfluxDB open-source time-series database optimized for fast, high-availability storage for IoT and other use-cases. The InfluxDB test profile makes use of InfluxDB Inch for facilitating the benchmarks. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org val/sec, More Is Better InfluxDB 1.8.2 Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 300K 600K 900K 1200K 1500K SE +/- 1619.42, N = 3 SE +/- 2446.24, N = 3 SE +/- 476.77, N = 3 SE +/- 4294.50, N = 3 SE +/- 4135.18, N = 3 SE +/- 2773.38, N = 3 SE +/- 3450.73, N = 3 SE +/- 1012.15, N = 3 SE +/- 3188.58, N = 3 SE +/- 1691.70, N = 3 SE +/- 2477.29, N = 3 SE +/- 3144.17, N = 3 SE +/- 825.62, N = 3 SE +/- 837.79, N = 3 SE +/- 713.77, N = 3 SE +/- 375.00, N = 3 SE +/- 974.55, N = 3 SE +/- 352.16, N = 3 SE +/- 2137.19, N = 3 SE +/- 537.25, N = 3 1220547.1 1179108.0 1089138.1 1094235.6 1083763.6 1072387.8 1104030.2 1146289.6 1085461.2 1149222.6 1121722.0 1128044.2 1116967.3 1058363.8 1068224.4 1082109.0 1049655.9 957872.5 970567.6 948381.6
Result Confidence
OpenBenchmarking.org val/sec, More Is Better InfluxDB 1.8.2 Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 200K 400K 600K 800K 1000K Min: 1217678.7 / Avg: 1220547.07 / Max: 1223283.9 Min: 1174401.6 / Avg: 1179108 / Max: 1182618.6 Min: 1088610.7 / Avg: 1089138.13 / Max: 1090089.8 Min: 1089020.9 / Avg: 1094235.6 / Max: 1102753.4 Min: 1075660.9 / Avg: 1083763.63 / Max: 1089249.7 Min: 1068479.3 / Avg: 1072387.77 / Max: 1077750.5 Min: 1097478.3 / Avg: 1104030.2 / Max: 1109184.2 Min: 1144800.5 / Avg: 1146289.6 / Max: 1148221.7 Min: 1081877.1 / Avg: 1085461.23 / Max: 1091821.3 Min: 1146924 / Avg: 1149222.63 / Max: 1152522 Min: 1116887.2 / Avg: 1121722 / Max: 1125077.2 Min: 1121805.2 / Avg: 1128044.17 / Max: 1131844.7 Min: 1115818.7 / Avg: 1116967.33 / Max: 1118569 Min: 1057216.2 / Avg: 1058363.77 / Max: 1059994.9 Min: 1066800.6 / Avg: 1068224.43 / Max: 1069025.5 Min: 1081359.5 / Avg: 1082109.03 / Max: 1082506.8 Min: 1048319.8 / Avg: 1049655.87 / Max: 1051552.9 Min: 957434.8 / Avg: 957872.47 / Max: 958569.2 Min: 966382.4 / Avg: 970567.57 / Max: 973412.5 Min: 947355.2 / Avg: 948381.6 / Max: 949170.1
PostgreSQL pgbench This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 1 - Mode: Read Only - Average Latency EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 0.0122 0.0244 0.0366 0.0488 0.061 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 15 SE +/- 0.001, N = 4 SE +/- 0.000, N = 3 SE +/- 0.000, N = 10 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 0.048 0.048 0.047 0.043 0.044 0.044 0.043 0.042 0.050 0.043 0.043 0.044 0.044 0.047 0.048 0.043 0.044 0.054 0.053 0.051 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 1 - Mode: Read Only - Average Latency EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 1 2 3 4 5 Min: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.05 Min: 0.04 / Avg: 0.04 / Max: 0.05 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.05 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.05 Min: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.05 / Avg: 0.05 / Max: 0.05 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
libavif avifenc This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.7.3 Encoder Speed: 8 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 2 4 6 8 10 SE +/- 0.012, N = 3 SE +/- 0.008, N = 3 SE +/- 0.036, N = 3 SE +/- 0.017, N = 3 SE +/- 0.029, N = 3 SE +/- 0.003, N = 3 SE +/- 0.012, N = 3 SE +/- 0.024, N = 3 SE +/- 0.023, N = 3 SE +/- 0.010, N = 3 SE +/- 0.016, N = 3 SE +/- 0.008, N = 3 SE +/- 0.015, N = 3 SE +/- 0.006, N = 3 SE +/- 0.021, N = 3 SE +/- 0.022, N = 3 5.694 5.145 5.512 5.873 6.077 5.915 5.922 5.974 5.970 6.298 5.894 6.039 6.121 6.248 6.590 6.584 1. (CXX) g++ options: -O3 -fPIC
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.7.3 Encoder Speed: 8 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 Min: 5.68 / Avg: 5.69 / Max: 5.72 Min: 5.14 / Avg: 5.15 / Max: 5.16 Min: 5.45 / Avg: 5.51 / Max: 5.57 Min: 5.84 / Avg: 5.87 / Max: 5.9 Min: 6.03 / Avg: 6.08 / Max: 6.13 Min: 5.91 / Avg: 5.91 / Max: 5.92 Min: 5.9 / Avg: 5.92 / Max: 5.94 Min: 5.94 / Avg: 5.97 / Max: 6.02 Min: 5.95 / Avg: 5.97 / Max: 6.02 Min: 6.28 / Avg: 6.3 / Max: 6.32 Min: 5.86 / Avg: 5.89 / Max: 5.91 Min: 6.03 / Avg: 6.04 / Max: 6.06 Min: 6.09 / Avg: 6.12 / Max: 6.15 Min: 6.24 / Avg: 6.25 / Max: 6.26 Min: 6.56 / Avg: 6.59 / Max: 6.63 Min: 6.56 / Avg: 6.58 / Max: 6.63 1. (CXX) g++ options: -O3 -fPIC
SciMark This test runs the ANSI C version of SciMark 2.0, which is a benchmark for scientific and numerical computing developed by programmers at the National Institute of Standards and Technology. This test is made up of Fast Foruier Transform, Jacobi Successive Over-relaxation, Monte Carlo, Sparse Matrix Multiply, and dense LU matrix factorization benchmarks. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Mflops, More Is Better SciMark 2.0 Computational Test: Composite EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 140 280 420 560 700 SE +/- 2.20, N = 3 SE +/- 3.29, N = 3 SE +/- 3.78, N = 3 SE +/- 2.23, N = 3 SE +/- 1.27, N = 3 SE +/- 0.97, N = 3 SE +/- 1.97, N = 3 SE +/- 1.77, N = 3 SE +/- 6.57, N = 5 SE +/- 1.68, N = 3 SE +/- 1.28, N = 3 SE +/- 2.27, N = 3 SE +/- 0.69, N = 3 SE +/- 1.70, N = 3 SE +/- 2.24, N = 3 SE +/- 4.78, N = 3 SE +/- 2.58, N = 3 SE +/- 0.90, N = 3 SE +/- 0.82, N = 3 SE +/- 3.15, N = 3 610.59 638.63 627.38 553.10 547.26 544.37 548.14 555.91 498.78 554.85 551.71 553.03 552.58 522.61 546.00 522.70 518.46 561.08 524.17 514.90 1. (CC) gcc options: -lm
Result Confidence
OpenBenchmarking.org Mflops, More Is Better SciMark 2.0 Computational Test: Composite EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 110 220 330 440 550 Min: 606.95 / Avg: 610.59 / Max: 614.54 Min: 633.32 / Avg: 638.63 / Max: 644.64 Min: 620.31 / Avg: 627.38 / Max: 633.22 Min: 548.69 / Avg: 553.1 / Max: 555.94 Min: 544.73 / Avg: 547.26 / Max: 548.69 Min: 543.29 / Avg: 544.37 / Max: 546.31 Min: 544.84 / Avg: 548.14 / Max: 551.64 Min: 553.76 / Avg: 555.91 / Max: 559.42 Min: 482.34 / Avg: 498.78 / Max: 510.26 Min: 551.67 / Avg: 554.85 / Max: 557.36 Min: 549.24 / Avg: 551.71 / Max: 553.49 Min: 549.37 / Avg: 553.03 / Max: 557.19 Min: 551.19 / Avg: 552.58 / Max: 553.32 Min: 519.72 / Avg: 522.61 / Max: 525.6 Min: 543.31 / Avg: 546 / Max: 550.44 Min: 515.19 / Avg: 522.7 / Max: 531.59 Min: 514.52 / Avg: 518.46 / Max: 523.31 Min: 559.5 / Avg: 561.08 / Max: 562.6 Min: 522.79 / Avg: 524.17 / Max: 525.64 Min: 509.41 / Avg: 514.9 / Max: 520.31 1. (CC) gcc options: -lm
AOM AV1 This is a simple test of the AOMedia AV1 encoder run on the CPU with a sample video file. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 8 Realtime EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 8 16 24 32 40 SE +/- 0.07, N = 3 SE +/- 0.10, N = 3 SE +/- 0.09, N = 3 SE +/- 0.07, N = 3 SE +/- 0.04, N = 3 SE +/- 0.16, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.10, N = 3 SE +/- 0.15, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.09, N = 3 SE +/- 0.09, N = 3 SE +/- 0.14, N = 3 SE +/- 0.10, N = 3 SE +/- 0.14, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 32.06 33.89 33.05 27.58 27.67 27.84 27.92 28.76 27.50 28.46 28.36 28.16 28.43 26.85 28.08 27.99 26.78 26.91 26.48 26.56 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 8 Realtime EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 7 14 21 28 35 Min: 31.92 / Avg: 32.06 / Max: 32.14 Min: 33.74 / Avg: 33.89 / Max: 34.08 Min: 32.88 / Avg: 33.05 / Max: 33.16 Min: 27.45 / Avg: 27.58 / Max: 27.68 Min: 27.6 / Avg: 27.67 / Max: 27.72 Min: 27.65 / Avg: 27.84 / Max: 28.15 Min: 27.88 / Avg: 27.92 / Max: 27.99 Min: 28.64 / Avg: 28.76 / Max: 28.84 Min: 27.33 / Avg: 27.5 / Max: 27.69 Min: 28.3 / Avg: 28.46 / Max: 28.76 Min: 28.35 / Avg: 28.36 / Max: 28.39 Min: 28.11 / Avg: 28.16 / Max: 28.2 Min: 28.25 / Avg: 28.43 / Max: 28.56 Min: 26.66 / Avg: 26.85 / Max: 26.96 Min: 27.82 / Avg: 28.08 / Max: 28.27 Min: 27.8 / Avg: 27.99 / Max: 28.13 Min: 26.51 / Avg: 26.78 / Max: 26.92 Min: 26.83 / Avg: 26.91 / Max: 26.99 Min: 26.42 / Avg: 26.48 / Max: 26.57 Min: 26.54 / Avg: 26.56 / Max: 26.6 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
Darmstadt Automotive Parallel Heterogeneous Suite DAPHNE is the Darmstadt Automotive Parallel HeterogeNEous Benchmark Suite with OpenCL / CUDA / OpenMP test cases for these automotive benchmarks for evaluating programming models in context to vehicle autonomous driving capabilities. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Test Cases Per Minute, More Is Better Darmstadt Automotive Parallel Heterogeneous Suite Backend: OpenMP - Kernel: Euclidean Cluster EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 200 400 600 800 1000 SE +/- 0.81, N = 3 SE +/- 1.62, N = 3 SE +/- 2.65, N = 3 SE +/- 3.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.99, N = 3 SE +/- 1.86, N = 3 SE +/- 2.79, N = 3 SE +/- 3.86, N = 3 SE +/- 2.21, N = 3 SE +/- 2.14, N = 3 SE +/- 2.19, N = 3 SE +/- 0.85, N = 3 SE +/- 3.05, N = 3 SE +/- 1.41, N = 3 SE +/- 1.82, N = 3 SE +/- 2.14, N = 3 SE +/- 1.25, N = 3 SE +/- 0.67, N = 3 SE +/- 1.71, N = 3 1020.30 1070.51 1021.52 912.66 942.70 945.95 938.95 971.19 915.08 957.98 959.68 940.24 949.99 877.83 930.43 918.81 893.05 885.81 838.12 871.81 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp
Result Confidence
OpenBenchmarking.org Test Cases Per Minute, More Is Better Darmstadt Automotive Parallel Heterogeneous Suite Backend: OpenMP - Kernel: Euclidean Cluster EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 200 400 600 800 1000 Min: 1019.2 / Avg: 1020.3 / Max: 1021.87 Min: 1068.74 / Avg: 1070.51 / Max: 1073.75 Min: 1017.45 / Avg: 1021.52 / Max: 1026.49 Min: 907.1 / Avg: 912.66 / Max: 917.55 Min: 942.6 / Avg: 942.7 / Max: 942.78 Min: 944.15 / Avg: 945.95 / Max: 947.58 Min: 936.51 / Avg: 938.95 / Max: 942.6 Min: 965.61 / Avg: 971.19 / Max: 974.12 Min: 908.66 / Avg: 915.08 / Max: 922 Min: 954.44 / Avg: 957.98 / Max: 962.03 Min: 957.34 / Avg: 959.68 / Max: 963.95 Min: 936.37 / Avg: 940.24 / Max: 943.96 Min: 948.99 / Avg: 949.99 / Max: 951.68 Min: 873.21 / Avg: 877.83 / Max: 883.6 Min: 928.27 / Avg: 930.43 / Max: 933.08 Min: 916.37 / Avg: 918.81 / Max: 922.37 Min: 888.78 / Avg: 893.05 / Max: 895.41 Min: 884.13 / Avg: 885.81 / Max: 888.26 Min: 837.05 / Avg: 838.12 / Max: 839.34 Min: 869.8 / Avg: 871.81 / Max: 875.21 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp
AOM AV1 This is a simple test of the AOMedia AV1 encoder run on the CPU with a sample video file. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 6 Two-Pass EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 0.8415 1.683 2.5245 3.366 4.2075 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 3.58 3.74 3.59 3.12 3.09 3.12 3.12 3.25 3.12 3.19 3.18 3.17 3.21 3.01 3.17 3.08 2.99 3.09 2.93 2.96 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 6 Two-Pass EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 2 4 6 8 10 Min: 3.57 / Avg: 3.58 / Max: 3.59 Min: 3.73 / Avg: 3.74 / Max: 3.75 Min: 3.57 / Avg: 3.59 / Max: 3.6 Min: 3.12 / Avg: 3.12 / Max: 3.13 Min: 3.09 / Avg: 3.09 / Max: 3.1 Min: 3.11 / Avg: 3.12 / Max: 3.13 Min: 3.12 / Avg: 3.12 / Max: 3.12 Min: 3.23 / Avg: 3.25 / Max: 3.27 Min: 3.11 / Avg: 3.12 / Max: 3.12 Min: 3.19 / Avg: 3.19 / Max: 3.19 Min: 3.17 / Avg: 3.18 / Max: 3.18 Min: 3.16 / Avg: 3.17 / Max: 3.18 Min: 3.2 / Avg: 3.21 / Max: 3.22 Min: 2.99 / Avg: 3.01 / Max: 3.03 Min: 3.15 / Avg: 3.17 / Max: 3.2 Min: 3.07 / Avg: 3.08 / Max: 3.09 Min: 2.98 / Avg: 2.99 / Max: 3 Min: 3.08 / Avg: 3.09 / Max: 3.1 Min: 2.92 / Avg: 2.93 / Max: 2.94 Min: 2.95 / Avg: 2.96 / Max: 2.97 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
GEGL GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Antialias EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 11 22 33 44 55 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.16, N = 3 42.06 39.28 38.06 46.18 46.49 47.09 46.70 45.29 47.57 45.95 45.95 46.25 45.51 48.59 45.35 46.19 45.96 43.45 45.67 45.49
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Antialias EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 10 20 30 40 50 Min: 42.01 / Avg: 42.06 / Max: 42.1 Min: 39.22 / Avg: 39.28 / Max: 39.32 Min: 38.05 / Avg: 38.06 / Max: 38.09 Min: 46.1 / Avg: 46.18 / Max: 46.22 Min: 46.42 / Avg: 46.49 / Max: 46.53 Min: 47.08 / Avg: 47.09 / Max: 47.11 Min: 46.69 / Avg: 46.7 / Max: 46.71 Min: 45.27 / Avg: 45.29 / Max: 45.3 Min: 47.51 / Avg: 47.57 / Max: 47.62 Min: 45.93 / Avg: 45.95 / Max: 45.97 Min: 45.9 / Avg: 45.95 / Max: 46 Min: 46.23 / Avg: 46.25 / Max: 46.28 Min: 45.49 / Avg: 45.51 / Max: 45.52 Min: 48.5 / Avg: 48.59 / Max: 48.67 Min: 45.34 / Avg: 45.35 / Max: 45.38 Min: 46.18 / Avg: 46.19 / Max: 46.2 Min: 45.89 / Avg: 45.96 / Max: 46 Min: 43.39 / Avg: 43.45 / Max: 43.49 Min: 45.66 / Avg: 45.67 / Max: 45.7 Min: 45.18 / Avg: 45.49 / Max: 45.7
Go Benchmarks Benchmark for monitoring real time performance of the Go implementation for HTTP, JSON and garbage testing per iteration. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Nanoseconds/Operation, Fewer Is Better Go Benchmarks Test: build EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 6000M 12000M 18000M 24000M 30000M SE +/- 150437988.79, N = 3 SE +/- 199580423.82, N = 3 SE +/- 162622849.80, N = 3 SE +/- 302020444.34, N = 3 SE +/- 295544204.19, N = 3 SE +/- 264303439.24, N = 3 SE +/- 277727800.92, N = 3 SE +/- 270641509.43, N = 3 SE +/- 371050761.61, N = 3 SE +/- 319930671.11, N = 3 SE +/- 382431111.51, N = 3 SE +/- 260349467.99, N = 3 SE +/- 221045514.68, N = 3 SE +/- 405179316.78, N = 3 SE +/- 257688840.28, N = 3 SE +/- 262528887.35, N = 3 SE +/- 252259078.21, N = 3 SE +/- 286988667.50, N = 3 SE +/- 314647678.30, N = 3 SE +/- 403725574.05, N = 3 22522673323 21458302092 21612938632 27156606176 27371988085 26811743887 26784839020 25579772126 26413350226 25935430170 25830214816 25983329425 25481171757 27160653682 25583041011 26061132684 26635457359 25036050319 26554811142 26833773763
Result Confidence
OpenBenchmarking.org Nanoseconds/Operation, Fewer Is Better Go Benchmarks Test: build EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 5000M 10000M 15000M 20000M 25000M Min: 22320233608 / Avg: 22522673322.67 / Max: 22816658288 Min: 21203679144 / Avg: 21458302092.33 / Max: 21851832278 Min: 21386676155 / Avg: 21612938632.33 / Max: 21928412507 Min: 26813018719 / Avg: 27156606175.67 / Max: 27758643778 Min: 27064599055 / Avg: 27371988084.67 / Max: 27962916082 Min: 26485058463 / Avg: 26811743886.67 / Max: 27334984361 Min: 26458538443 / Avg: 26784839020.33 / Max: 27337276021 Min: 25215434359 / Avg: 25579772125.67 / Max: 26108616612 Min: 25992830121 / Avg: 26413350226.33 / Max: 27153146051 Min: 25498348340 / Avg: 25935430170.33 / Max: 26558676544 Min: 25402613145 / Avg: 25830214816 / Max: 26593222601 Min: 25699669989 / Avg: 25983329425 / Max: 26503310607 Min: 25250159824 / Avg: 25481171757 / Max: 25923110678 Min: 26709579111 / Avg: 27160653681.67 / Max: 27969208664 Min: 25289195555 / Avg: 25583041010.67 / Max: 26096640369 Min: 25723985903 / Avg: 26061132683.67 / Max: 26578293633 Min: 26296989348 / Avg: 26635457358.67 / Max: 27128702910 Min: 24721687629 / Avg: 25036050319 / Max: 25609127757 Min: 26148149868 / Avg: 26554811141.67 / Max: 27174049750 Min: 26256594229 / Avg: 26833773762.67 / Max: 27611373608
GEGL GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Tile Glass EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 9 18 27 36 45 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 34.16 31.86 30.76 37.44 37.67 38.28 37.95 36.67 38.65 37.25 37.23 37.56 36.79 39.20 36.53 37.04 36.74 35.03 36.72 36.73
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Tile Glass EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 8 16 24 32 40 Min: 34.11 / Avg: 34.16 / Max: 34.24 Min: 31.81 / Avg: 31.86 / Max: 31.94 Min: 30.72 / Avg: 30.76 / Max: 30.79 Min: 37.39 / Avg: 37.44 / Max: 37.51 Min: 37.64 / Avg: 37.67 / Max: 37.7 Min: 38.26 / Avg: 38.28 / Max: 38.32 Min: 37.93 / Avg: 37.94 / Max: 37.96 Min: 36.61 / Avg: 36.67 / Max: 36.71 Min: 38.55 / Avg: 38.65 / Max: 38.73 Min: 37.21 / Avg: 37.25 / Max: 37.31 Min: 37.22 / Avg: 37.23 / Max: 37.25 Min: 37.54 / Avg: 37.56 / Max: 37.59 Min: 36.73 / Avg: 36.79 / Max: 36.85 Min: 39.17 / Avg: 39.2 / Max: 39.22 Min: 36.5 / Avg: 36.53 / Max: 36.56 Min: 37.01 / Avg: 37.04 / Max: 37.1 Min: 36.69 / Avg: 36.74 / Max: 36.84 Min: 35 / Avg: 35.03 / Max: 35.08 Min: 36.67 / Avg: 36.72 / Max: 36.76 Min: 36.7 / Avg: 36.73 / Max: 36.75
PostgreSQL pgbench This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1000 - Clients: 1 - Mode: Read Only - Average Latency EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 0.0126 0.0252 0.0378 0.0504 0.063 SE +/- 0.001, N = 4 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 0.049 0.049 0.049 0.046 0.046 0.046 0.045 0.045 0.052 0.045 0.045 0.044 0.046 0.049 0.051 0.045 0.045 0.056 0.056 0.054 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1000 - Clients: 1 - Mode: Read Only - Average Latency EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 1 2 3 4 5 Min: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.04 / Avg: 0.05 / Max: 0.05 Min: 0.04 / Avg: 0.05 / Max: 0.05 Min: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.04 / Avg: 0.04 / Max: 0.05 Min: 0.04 / Avg: 0.04 / Max: 0.05 Min: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.06 / Avg: 0.06 / Max: 0.06 Min: 0.06 / Avg: 0.06 / Max: 0.06 Min: 0.05 / Avg: 0.05 / Max: 0.06 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
LZMA Compression This test measures the time needed to compress a file using LZMA compression. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better LZMA Compression 256MB File Compression EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 70 140 210 280 350 SE +/- 0.16, N = 3 SE +/- 0.22, N = 3 SE +/- 0.42, N = 3 SE +/- 0.13, N = 3 SE +/- 0.38, N = 3 SE +/- 0.42, N = 3 SE +/- 0.21, N = 3 SE +/- 0.41, N = 3 SE +/- 0.79, N = 3 SE +/- 0.42, N = 3 SE +/- 0.18, N = 3 SE +/- 0.43, N = 3 SE +/- 0.22, N = 3 SE +/- 0.40, N = 3 SE +/- 0.19, N = 3 SE +/- 0.40, N = 3 SE +/- 0.26, N = 3 SE +/- 0.56, N = 3 SE +/- 0.44, N = 3 SE +/- 0.27, N = 3 262.15 250.34 253.15 285.86 287.49 287.72 288.66 280.26 289.39 283.69 283.83 284.17 283.80 303.03 287.70 295.00 299.48 284.19 299.40 317.25 1. (CXX) g++ options: -O2
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better LZMA Compression 256MB File Compression EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 60 120 180 240 300 Min: 261.93 / Avg: 262.15 / Max: 262.47 Min: 250.1 / Avg: 250.34 / Max: 250.78 Min: 252.34 / Avg: 253.15 / Max: 253.74 Min: 285.61 / Avg: 285.86 / Max: 286.04 Min: 287.04 / Avg: 287.49 / Max: 288.24 Min: 286.99 / Avg: 287.72 / Max: 288.45 Min: 288.26 / Avg: 288.66 / Max: 288.94 Min: 279.55 / Avg: 280.26 / Max: 280.97 Min: 287.82 / Avg: 289.39 / Max: 290.18 Min: 283.03 / Avg: 283.69 / Max: 284.46 Min: 283.49 / Avg: 283.83 / Max: 284.12 Min: 283.53 / Avg: 284.17 / Max: 284.98 Min: 283.5 / Avg: 283.8 / Max: 284.24 Min: 302.31 / Avg: 303.03 / Max: 303.67 Min: 287.32 / Avg: 287.7 / Max: 287.89 Min: 294.38 / Avg: 295 / Max: 295.76 Min: 298.98 / Avg: 299.48 / Max: 299.82 Min: 283.27 / Avg: 284.18 / Max: 285.21 Min: 298.85 / Avg: 299.4 / Max: 300.28 Min: 316.76 / Avg: 317.25 / Max: 317.67 1. (CXX) g++ options: -O2
WebP Image Encode This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100, Lossless, Highest Compression EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 11 22 33 44 55 SE +/- 0.15, N = 3 SE +/- 0.09, N = 3 SE +/- 0.13, N = 3 SE +/- 0.09, N = 3 SE +/- 0.09, N = 3 SE +/- 0.10, N = 3 SE +/- 0.08, N = 3 SE +/- 0.10, N = 3 SE +/- 0.03, N = 3 SE +/- 0.10, N = 3 SE +/- 0.11, N = 3 SE +/- 0.03, N = 3 SE +/- 0.10, N = 3 SE +/- 0.13, N = 3 SE +/- 0.11, N = 3 SE +/- 0.12, N = 3 SE +/- 0.07, N = 3 SE +/- 0.12, N = 3 SE +/- 0.03, N = 3 SE +/- 0.09, N = 3 39.06 36.89 37.03 43.09 43.72 43.72 43.72 42.37 43.75 42.93 42.96 42.79 42.86 45.77 43.62 44.85 45.31 42.55 45.46 46.63 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
Result Confidence
OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100, Lossless, Highest Compression EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 9 18 27 36 45 Min: 38.76 / Avg: 39.06 / Max: 39.27 Min: 36.78 / Avg: 36.89 / Max: 37.06 Min: 36.86 / Avg: 37.03 / Max: 37.28 Min: 42.93 / Avg: 43.09 / Max: 43.23 Min: 43.54 / Avg: 43.72 / Max: 43.82 Min: 43.51 / Avg: 43.72 / Max: 43.84 Min: 43.59 / Avg: 43.72 / Max: 43.85 Min: 42.17 / Avg: 42.37 / Max: 42.5 Min: 43.71 / Avg: 43.75 / Max: 43.8 Min: 42.82 / Avg: 42.93 / Max: 43.12 Min: 42.75 / Avg: 42.96 / Max: 43.12 Min: 42.72 / Avg: 42.79 / Max: 42.82 Min: 42.72 / Avg: 42.86 / Max: 43.05 Min: 45.52 / Avg: 45.77 / Max: 45.96 Min: 43.4 / Avg: 43.62 / Max: 43.73 Min: 44.68 / Avg: 44.85 / Max: 45.08 Min: 45.17 / Avg: 45.31 / Max: 45.43 Min: 42.38 / Avg: 42.55 / Max: 42.78 Min: 45.42 / Avg: 45.46 / Max: 45.53 Min: 46.45 / Avg: 46.63 / Max: 46.74 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
PostgreSQL pgbench This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1000 - Clients: 1 - Mode: Read Only EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 5K 10K 15K 20K 25K SE +/- 285.19, N = 4 SE +/- 40.49, N = 3 SE +/- 93.22, N = 3 SE +/- 206.48, N = 3 SE +/- 103.27, N = 3 SE +/- 89.99, N = 3 SE +/- 348.99, N = 3 SE +/- 176.46, N = 3 SE +/- 184.41, N = 3 SE +/- 159.06, N = 3 SE +/- 262.17, N = 3 SE +/- 379.01, N = 3 SE +/- 118.63, N = 3 SE +/- 259.08, N = 3 SE +/- 162.08, N = 3 SE +/- 89.85, N = 3 SE +/- 27.06, N = 3 SE +/- 42.01, N = 3 SE +/- 129.62, N = 3 SE +/- 205.26, N = 3 20394 20469 20488 21786 21921 21827 22073 22218 19432 22181 22326 22544 21983 20319 19628 22180 22181 17838 18091 18592 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result Confidence
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1000 - Clients: 1 - Mode: Read Only EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 4K 8K 12K 16K 20K Min: 19799.7 / Avg: 20393.53 / Max: 21057.77 Min: 20410.79 / Avg: 20468.57 / Max: 20546.61 Min: 20323.51 / Avg: 20487.99 / Max: 20646.25 Min: 21391.67 / Avg: 21786.32 / Max: 22088.94 Min: 21791.82 / Avg: 21920.87 / Max: 22125.05 Min: 21648.3 / Avg: 21827.19 / Max: 21933.74 Min: 21597.21 / Avg: 22073.2 / Max: 22753.29 Min: 21966.52 / Avg: 22218.05 / Max: 22558.21 Min: 19156.62 / Avg: 19432.42 / Max: 19782.39 Min: 21867.11 / Avg: 22181.49 / Max: 22380.89 Min: 21982.24 / Avg: 22326.42 / Max: 22841.08 Min: 21988.7 / Avg: 22543.58 / Max: 23268.26 Min: 21821.23 / Avg: 21983.11 / Max: 22214.27 Min: 19805.7 / Avg: 20318.57 / Max: 20639.03 Min: 19360.7 / Avg: 19628.5 / Max: 19920.57 Min: 22003.76 / Avg: 22179.9 / Max: 22298.85 Min: 22144.29 / Avg: 22180.58 / Max: 22233.5 Min: 17753.67 / Avg: 17837.68 / Max: 17880.04 Min: 17944.02 / Avg: 18090.74 / Max: 18349.19 Min: 18182.08 / Avg: 18591.87 / Max: 18817.89 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
FFTW FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Mflops, More Is Better FFTW 3.3.6 Build: Float + SSE - Size: 2D FFT Size 4096 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 4K 8K 12K 16K 20K SE +/- 185.62, N = 8 SE +/- 30.07, N = 3 SE +/- 77.56, N = 3 SE +/- 224.88, N = 3 SE +/- 238.37, N = 3 SE +/- 104.33, N = 3 SE +/- 115.47, N = 3 SE +/- 39.21, N = 3 SE +/- 71.08, N = 3 SE +/- 86.33, N = 3 SE +/- 204.31, N = 3 SE +/- 94.50, N = 3 SE +/- 39.40, N = 3 SE +/- 65.28, N = 3 SE +/- 171.42, N = 6 SE +/- 77.59, N = 3 SE +/- 147.87, N = 3 SE +/- 174.94, N = 3 SE +/- 109.92, N = 3 SE +/- 151.54, N = 3 17858 16017 15791 14749 14945 14496 14955 15187 14709 14985 15020 15060 14979 14443 14751 14608 14445 14633 14138 14210 1. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm
Result Confidence
OpenBenchmarking.org Mflops, More Is Better FFTW 3.3.6 Build: Float + SSE - Size: 2D FFT Size 4096 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 3K 6K 9K 12K 15K Min: 16971 / Avg: 17858.25 / Max: 18417 Min: 15963 / Avg: 16016.67 / Max: 16067 Min: 15637 / Avg: 15791.33 / Max: 15882 Min: 14396 / Avg: 14749.33 / Max: 15167 Min: 14469 / Avg: 14945 / Max: 15206 Min: 14336 / Avg: 14496 / Max: 14692 Min: 14780 / Avg: 14955 / Max: 15173 Min: 15109 / Avg: 15187 / Max: 15233 Min: 14589 / Avg: 14709 / Max: 14835 Min: 14886 / Avg: 14985 / Max: 15157 Min: 14632 / Avg: 15020 / Max: 15325 Min: 14874 / Avg: 15060 / Max: 15182 Min: 14904 / Avg: 14979.33 / Max: 15037 Min: 14319 / Avg: 14443.33 / Max: 14540 Min: 13908 / Avg: 14751.17 / Max: 15000 Min: 14524 / Avg: 14608 / Max: 14763 Min: 14172 / Avg: 14445 / Max: 14680 Min: 14283 / Avg: 14632.67 / Max: 14818 Min: 13955 / Avg: 14138 / Max: 14335 Min: 13997 / Avg: 14209.67 / Max: 14503 1. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm
BYTE Unix Benchmark This is a test of BYTE. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org LPS, More Is Better BYTE Unix Benchmark 3.6 Computational Test: Dhrystone 2 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 9M 18M 27M 36M 45M SE +/- 216768.78, N = 3 SE +/- 472119.65, N = 6 SE +/- 290111.25, N = 3 SE +/- 217072.87, N = 3 SE +/- 198080.38, N = 3 SE +/- 229640.42, N = 3 SE +/- 253533.19, N = 3 SE +/- 288205.93, N = 3 SE +/- 226742.78, N = 3 SE +/- 137924.77, N = 3 SE +/- 367535.20, N = 3 SE +/- 486609.08, N = 3 SE +/- 226875.87, N = 3 SE +/- 166454.26, N = 3 SE +/- 472480.22, N = 3 SE +/- 165385.16, N = 3 SE +/- 155536.72, N = 3 SE +/- 436419.16, N = 5 SE +/- 130216.74, N = 3 SE +/- 252864.20, N = 3 39446298.1 39633515.4 40212653.6 34006118.7 31996287.3 33456314.6 32835766.0 33745274.1 32270334.2 33230145.2 33922674.2 32982666.1 33817633.6 31911088.8 33558264.8 31997433.8 33234938.3 34728740.7 33048937.0 32409435.2
Result Confidence
OpenBenchmarking.org LPS, More Is Better BYTE Unix Benchmark 3.6 Computational Test: Dhrystone 2 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 7M 14M 21M 28M 35M Min: 39016803.3 / Avg: 39446298.07 / Max: 39712200.1 Min: 37414193 / Avg: 39633515.43 / Max: 40556935 Min: 39688926 / Avg: 40212653.6 / Max: 40690794.2 Min: 33572556.5 / Avg: 34006118.67 / Max: 34242387.5 Min: 31617582.3 / Avg: 31996287.27 / Max: 32286359.3 Min: 33133629.2 / Avg: 33456314.63 / Max: 33900694 Min: 32393997.8 / Avg: 32835766 / Max: 33272214.2 Min: 33232001.3 / Avg: 33745274.07 / Max: 34229069.6 Min: 31818496.7 / Avg: 32270334.2 / Max: 32529704.7 Min: 32996788.2 / Avg: 33230145.2 / Max: 33474213.3 Min: 33506863.3 / Avg: 33922674.2 / Max: 34655529.5 Min: 32220133 / Avg: 32982666.1 / Max: 33887643.1 Min: 33580391.9 / Avg: 33817633.6 / Max: 34271225 Min: 31595288.5 / Avg: 31911088.8 / Max: 32160223.2 Min: 32668442.4 / Avg: 33558264.8 / Max: 34278629.7 Min: 31674127.4 / Avg: 31997433.83 / Max: 32219597.1 Min: 32942651.5 / Avg: 33234938.3 / Max: 33473284.4 Min: 33693824.3 / Avg: 34728740.74 / Max: 35856987.7 Min: 32797065.1 / Avg: 33048936.97 / Max: 33232228.1 Min: 31904966 / Avg: 32409435.17 / Max: 32692557.6
GEGL GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Crop EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 SE +/- 0.015, N = 3 SE +/- 0.034, N = 3 SE +/- 0.013, N = 3 SE +/- 0.032, N = 3 SE +/- 0.034, N = 3 SE +/- 0.022, N = 3 SE +/- 0.029, N = 3 SE +/- 0.023, N = 3 SE +/- 0.031, N = 3 SE +/- 0.032, N = 3 SE +/- 0.019, N = 3 SE +/- 0.031, N = 3 SE +/- 0.027, N = 3 SE +/- 0.021, N = 3 SE +/- 0.045, N = 3 SE +/- 0.021, N = 3 SE +/- 0.038, N = 3 SE +/- 0.012, N = 3 SE +/- 0.016, N = 3 SE +/- 0.021, N = 3 9.252 8.706 8.587 10.142 10.310 10.505 10.572 9.983 10.633 10.233 10.277 10.365 10.052 10.820 10.160 10.384 10.385 9.775 10.335 10.404
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Crop EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 Min: 9.23 / Avg: 9.25 / Max: 9.28 Min: 8.64 / Avg: 8.71 / Max: 8.74 Min: 8.56 / Avg: 8.59 / Max: 8.6 Min: 10.09 / Avg: 10.14 / Max: 10.2 Min: 10.26 / Avg: 10.31 / Max: 10.38 Min: 10.46 / Avg: 10.5 / Max: 10.53 Min: 10.53 / Avg: 10.57 / Max: 10.63 Min: 9.94 / Avg: 9.98 / Max: 10.02 Min: 10.59 / Avg: 10.63 / Max: 10.69 Min: 10.18 / Avg: 10.23 / Max: 10.29 Min: 10.25 / Avg: 10.28 / Max: 10.31 Min: 10.31 / Avg: 10.37 / Max: 10.41 Min: 10 / Avg: 10.05 / Max: 10.1 Min: 10.78 / Avg: 10.82 / Max: 10.85 Min: 10.1 / Avg: 10.16 / Max: 10.25 Min: 10.35 / Avg: 10.38 / Max: 10.42 Min: 10.31 / Avg: 10.38 / Max: 10.44 Min: 9.76 / Avg: 9.78 / Max: 9.8 Min: 10.32 / Avg: 10.34 / Max: 10.37 Min: 10.36 / Avg: 10.4 / Max: 10.43
WebP Image Encode This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Default EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 0.4325 0.865 1.2975 1.73 2.1625 SE +/- 0.004, N = 3 SE +/- 0.003, N = 3 SE +/- 0.005, N = 3 SE +/- 0.009, N = 3 SE +/- 0.006, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.004, N = 3 SE +/- 0.002, N = 3 SE +/- 0.004, N = 3 SE +/- 0.003, N = 3 SE +/- 0.003, N = 3 SE +/- 0.006, N = 3 SE +/- 0.002, N = 3 SE +/- 0.003, N = 3 SE +/- 0.010, N = 3 SE +/- 0.004, N = 3 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 1.922 1.528 1.538 1.792 1.812 1.802 1.799 1.745 1.802 1.776 1.767 1.778 1.773 1.894 1.800 1.849 1.862 1.748 1.901 1.854 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
Result Confidence
OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Default EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 2 4 6 8 10 Min: 1.91 / Avg: 1.92 / Max: 1.93 Min: 1.52 / Avg: 1.53 / Max: 1.53 Min: 1.53 / Avg: 1.54 / Max: 1.55 Min: 1.78 / Avg: 1.79 / Max: 1.81 Min: 1.8 / Avg: 1.81 / Max: 1.82 Min: 1.8 / Avg: 1.8 / Max: 1.8 Min: 1.8 / Avg: 1.8 / Max: 1.8 Min: 1.75 / Avg: 1.75 / Max: 1.75 Min: 1.79 / Avg: 1.8 / Max: 1.81 Min: 1.77 / Avg: 1.78 / Max: 1.78 Min: 1.76 / Avg: 1.77 / Max: 1.77 Min: 1.77 / Avg: 1.78 / Max: 1.78 Min: 1.77 / Avg: 1.77 / Max: 1.78 Min: 1.88 / Avg: 1.89 / Max: 1.9 Min: 1.8 / Avg: 1.8 / Max: 1.8 Min: 1.84 / Avg: 1.85 / Max: 1.85 Min: 1.84 / Avg: 1.86 / Max: 1.87 Min: 1.74 / Avg: 1.75 / Max: 1.75 Min: 1.9 / Avg: 1.9 / Max: 1.91 Min: 1.85 / Avg: 1.85 / Max: 1.86 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
MariaDB This is a MariaDB MySQL database server benchmark making use of mysqlslap. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Queries Per Second, More Is Better MariaDB 10.5.2 Clients: 1 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 3K 6K 9K 12K 15K SE +/- 80.13, N = 3 SE +/- 75.38, N = 3 SE +/- 73.16, N = 3 SE +/- 102.66, N = 3 SE +/- 78.14, N = 4 SE +/- 170.94, N = 3 SE +/- 189.94, N = 3 SE +/- 63.42, N = 3 SE +/- 60.88, N = 6 SE +/- 115.44, N = 3 SE +/- 56.96, N = 3 SE +/- 155.07, N = 3 SE +/- 190.33, N = 3 SE +/- 112.46, N = 3 SE +/- 163.64, N = 3 SE +/- 63.42, N = 3 SE +/- 56.96, N = 3 SE +/- 104.18, N = 3 SE +/- 50.19, N = 3 SE +/- 56.96, N = 3 15465 15076 14779 13335 12580 12991 12826 13825 13394 13218 13101 13219 13704 12933 13579 13762 13044 12554 12295 13101 1. (CXX) g++ options: -pie -fPIC -fstack-protector -O2 -lpthread -llzma -lbz2 -lsnappy -lnuma -lpcre2-8 -lcrypt -lz -lm -lssl -lcrypto -ldl
Result Confidence
OpenBenchmarking.org Queries Per Second, More Is Better MariaDB 10.5.2 Clients: 1 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 3K 6K 9K 12K 15K Min: 15384.62 / Avg: 15464.74 / Max: 15625 Min: 14925.37 / Avg: 15076.13 / Max: 15151.52 Min: 14705.88 / Avg: 14779.05 / Max: 14925.37 Min: 13157.89 / Avg: 13334.91 / Max: 13513.51 Min: 12345.68 / Avg: 12580.09 / Max: 12658.23 Min: 12820.51 / Avg: 12991.45 / Max: 13333.33 Min: 12500 / Avg: 12826.14 / Max: 13157.89 Min: 13698.63 / Avg: 13825.47 / Max: 13888.89 Min: 13333.33 / Avg: 13394.22 / Max: 13698.63 Min: 12987.01 / Avg: 13217.89 / Max: 13333.33 Min: 12987.01 / Avg: 13100.93 / Max: 13157.89 Min: 12987.01 / Avg: 13219.47 / Max: 13513.51 Min: 13513.51 / Avg: 13703.84 / Max: 14084.51 Min: 12820.51 / Avg: 12932.97 / Max: 13157.89 Min: 13333.33 / Avg: 13578.58 / Max: 13888.89 Min: 13698.63 / Avg: 13762.05 / Max: 13888.89 Min: 12987.01 / Avg: 13043.97 / Max: 13157.89 Min: 12345.68 / Avg: 12554.04 / Max: 12658.23 Min: 12195.12 / Avg: 12295.49 / Max: 12345.68 Min: 12987.01 / Avg: 13100.93 / Max: 13157.89 1. (CXX) g++ options: -pie -fPIC -fstack-protector -O2 -lpthread -llzma -lbz2 -lsnappy -lnuma -lpcre2-8 -lcrypt -lz -lm -lssl -lcrypto -ldl
Bullet Physics Engine This is a benchmark of the Bullet Physics Engine. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Bullet Physics Engine 2.81 Test: 1000 Convex EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 1.1755 2.351 3.5265 4.702 5.8775 SE +/- 0.003840, N = 3 SE +/- 0.000994, N = 3 SE +/- 0.011665, N = 3 SE +/- 0.003424, N = 3 SE +/- 0.000840, N = 3 SE +/- 0.004061, N = 3 SE +/- 0.002361, N = 3 SE +/- 0.000419, N = 3 SE +/- 0.012064, N = 3 SE +/- 0.008226, N = 3 SE +/- 0.002829, N = 3 SE +/- 0.004633, N = 3 SE +/- 0.000683, N = 3 SE +/- 0.002824, N = 3 SE +/- 0.002894, N = 3 SE +/- 0.003474, N = 3 SE +/- 0.016217, N = 3 SE +/- 0.008742, N = 3 SE +/- 0.010168, N = 3 SE +/- 0.007223, N = 3 4.394798 4.154332 4.175056 4.850538 4.906207 4.900239 4.912686 4.751726 4.928625 4.852151 4.826640 4.839403 4.831873 5.143761 4.896866 5.056768 5.121093 4.806707 5.145545 5.224225 1. (CXX) g++ options: -O3 -rdynamic -lglut -lGL -lGLU
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Bullet Physics Engine 2.81 Test: 1000 Convex EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 2 4 6 8 10 Min: 4.39 / Avg: 4.39 / Max: 4.4 Min: 4.15 / Avg: 4.15 / Max: 4.16 Min: 4.16 / Avg: 4.18 / Max: 4.2 Min: 4.84 / Avg: 4.85 / Max: 4.86 Min: 4.91 / Avg: 4.91 / Max: 4.91 Min: 4.9 / Avg: 4.9 / Max: 4.91 Min: 4.91 / Avg: 4.91 / Max: 4.92 Min: 4.75 / Avg: 4.75 / Max: 4.75 Min: 4.91 / Avg: 4.93 / Max: 4.95 Min: 4.84 / Avg: 4.85 / Max: 4.87 Min: 4.82 / Avg: 4.83 / Max: 4.83 Min: 4.83 / Avg: 4.84 / Max: 4.85 Min: 4.83 / Avg: 4.83 / Max: 4.83 Min: 5.14 / Avg: 5.14 / Max: 5.15 Min: 4.89 / Avg: 4.9 / Max: 4.9 Min: 5.05 / Avg: 5.06 / Max: 5.06 Min: 5.1 / Avg: 5.12 / Max: 5.15 Min: 4.79 / Avg: 4.81 / Max: 4.82 Min: 5.13 / Avg: 5.15 / Max: 5.16 Min: 5.21 / Avg: 5.22 / Max: 5.23 1. (CXX) g++ options: -O3 -rdynamic -lglut -lGL -lGLU
FFTW FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Mflops, More Is Better FFTW 3.3.6 Build: Float + SSE - Size: 1D FFT Size 4096 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 11K 22K 33K 44K 55K SE +/- 63.71, N = 3 SE +/- 367.61, N = 3 SE +/- 501.34, N = 3 SE +/- 711.03, N = 3 SE +/- 338.23, N = 3 SE +/- 544.47, N = 3 SE +/- 114.65, N = 3 SE +/- 123.40, N = 3 SE +/- 228.23, N = 3 SE +/- 138.35, N = 3 SE +/- 305.95, N = 3 SE +/- 579.41, N = 4 SE +/- 512.89, N = 3 SE +/- 246.81, N = 3 SE +/- 510.01, N = 3 SE +/- 144.01, N = 3 SE +/- 271.47, N = 3 SE +/- 29.67, N = 3 SE +/- 234.79, N = 3 SE +/- 152.30, N = 3 48606 51156 51110 43161 43441 42921 43205 44914 43804 43784 43470 43678 43788 40791 43313 42168 42331 45232 41567 42474 1. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm
Result Confidence
OpenBenchmarking.org Mflops, More Is Better FFTW 3.3.6 Build: Float + SSE - Size: 1D FFT Size 4096 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 9K 18K 27K 36K 45K Min: 48531 / Avg: 48606.33 / Max: 48733 Min: 50607 / Avg: 51156 / Max: 51854 Min: 50319 / Avg: 51109.67 / Max: 52039 Min: 42186 / Avg: 43161 / Max: 44545 Min: 43033 / Avg: 43440.67 / Max: 44112 Min: 42256 / Avg: 42920.67 / Max: 44000 Min: 42985 / Avg: 43205 / Max: 43371 Min: 44672 / Avg: 44914.33 / Max: 45076 Min: 43491 / Avg: 43803.67 / Max: 44248 Min: 43585 / Avg: 43784 / Max: 44050 Min: 42923 / Avg: 43470 / Max: 43981 Min: 42352 / Avg: 43677.5 / Max: 44983 Min: 42803 / Avg: 43787.67 / Max: 44529 Min: 40320 / Avg: 40791.33 / Max: 41154 Min: 42679 / Avg: 43313 / Max: 44322 Min: 41880 / Avg: 42167.67 / Max: 42324 Min: 41797 / Avg: 42331 / Max: 42683 Min: 45173 / Avg: 45232.33 / Max: 45262 Min: 41198 / Avg: 41567 / Max: 42003 Min: 42203 / Avg: 42473.67 / Max: 42730 1. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm
PostgreSQL pgbench This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 1 - Mode: Read Write - Average Latency EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 0.0734 0.1468 0.2202 0.2936 0.367 SE +/- 0.004, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.004, N = 3 SE +/- 0.003, N = 3 SE +/- 0.004, N = 3 SE +/- 0.005, N = 3 SE +/- 0.004, N = 6 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 SE +/- 0.003, N = 3 SE +/- 0.002, N = 3 SE +/- 0.004, N = 4 SE +/- 0.002, N = 3 SE +/- 0.003, N = 3 SE +/- 0.002, N = 3 0.260 0.282 0.281 0.274 0.278 0.281 0.285 0.274 0.299 0.275 0.278 0.279 0.280 0.296 0.301 0.274 0.284 0.322 0.326 0.320 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 1 - Mode: Read Write - Average Latency EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 1 2 3 4 5 Min: 0.25 / Avg: 0.26 / Max: 0.27 Min: 0.28 / Avg: 0.28 / Max: 0.28 Min: 0.28 / Avg: 0.28 / Max: 0.28 Min: 0.27 / Avg: 0.27 / Max: 0.28 Min: 0.27 / Avg: 0.28 / Max: 0.28 Min: 0.28 / Avg: 0.28 / Max: 0.29 Min: 0.28 / Avg: 0.29 / Max: 0.29 Min: 0.27 / Avg: 0.27 / Max: 0.28 Min: 0.28 / Avg: 0.3 / Max: 0.31 Min: 0.27 / Avg: 0.27 / Max: 0.28 Min: 0.27 / Avg: 0.28 / Max: 0.29 Min: 0.28 / Avg: 0.28 / Max: 0.28 Min: 0.28 / Avg: 0.28 / Max: 0.28 Min: 0.29 / Avg: 0.3 / Max: 0.3 Min: 0.3 / Avg: 0.3 / Max: 0.31 Min: 0.27 / Avg: 0.27 / Max: 0.28 Min: 0.28 / Avg: 0.28 / Max: 0.3 Min: 0.32 / Avg: 0.32 / Max: 0.33 Min: 0.32 / Avg: 0.33 / Max: 0.33 Min: 0.32 / Avg: 0.32 / Max: 0.32 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 1 - Mode: Read Write EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 800 1600 2400 3200 4000 SE +/- 59.00, N = 3 SE +/- 7.81, N = 3 SE +/- 7.61, N = 3 SE +/- 23.47, N = 3 SE +/- 49.87, N = 3 SE +/- 31.77, N = 3 SE +/- 44.26, N = 3 SE +/- 60.62, N = 3 SE +/- 40.17, N = 6 SE +/- 13.96, N = 3 SE +/- 43.27, N = 3 SE +/- 32.57, N = 3 SE +/- 12.12, N = 3 SE +/- 30.14, N = 3 SE +/- 35.16, N = 3 SE +/- 22.27, N = 3 SE +/- 51.99, N = 4 SE +/- 13.03, N = 3 SE +/- 28.19, N = 3 SE +/- 17.06, N = 3 3851 3544 3564 3650 3600 3558 3509 3652 3345 3642 3599 3581 3566 3379 3323 3653 3520 3103 3073 3126 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result Confidence
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 1 - Mode: Read Write EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 700 1400 2100 2800 3500 Min: 3737.46 / Avg: 3851.01 / Max: 3935.61 Min: 3530.38 / Avg: 3543.86 / Max: 3557.44 Min: 3550.22 / Avg: 3563.8 / Max: 3576.56 Min: 3603.43 / Avg: 3650.12 / Max: 3677.68 Min: 3548.08 / Avg: 3600.4 / Max: 3700.1 Min: 3499.95 / Avg: 3558.37 / Max: 3609.22 Min: 3461.19 / Avg: 3509.26 / Max: 3597.67 Min: 3562.25 / Avg: 3652.05 / Max: 3767.49 Min: 3226 / Avg: 3344.74 / Max: 3521.19 Min: 3622.19 / Avg: 3642.31 / Max: 3669.12 Min: 3513.44 / Avg: 3598.6 / Max: 3654.53 Min: 3520.73 / Avg: 3580.83 / Max: 3632.65 Min: 3542.2 / Avg: 3565.68 / Max: 3582.65 Min: 3327.27 / Avg: 3378.61 / Max: 3431.64 Min: 3261.77 / Avg: 3322.6 / Max: 3383.57 Min: 3608.15 / Avg: 3652.68 / Max: 3675.87 Min: 3377.54 / Avg: 3520.45 / Max: 3610.33 Min: 3077.78 / Avg: 3103.27 / Max: 3120.74 Min: 3017.13 / Avg: 3073.27 / Max: 3105.88 Min: 3092.27 / Avg: 3126.06 / Max: 3147.03 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
GIMP GIMP is an open-source image manipulaton program. This test profile will use the system-provided GIMP program otherwise on Windows relys upon a pre-packaged Windows binary from upstream GIMP.org. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better GIMP 2.10.18 Test: rotate EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 4 8 12 16 20 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.06, N = 3 13.65 12.85 12.77 15.60 15.66 15.73 15.67 15.04 15.66 15.20 15.25 15.25 15.13 15.96 15.17 15.28 15.35 14.84 15.50 15.54
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GIMP 2.10.18 Test: rotate EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 4 8 12 16 20 Min: 13.6 / Avg: 13.65 / Max: 13.68 Min: 12.82 / Avg: 12.85 / Max: 12.88 Min: 12.73 / Avg: 12.77 / Max: 12.79 Min: 15.54 / Avg: 15.6 / Max: 15.67 Min: 15.6 / Avg: 15.66 / Max: 15.74 Min: 15.66 / Avg: 15.72 / Max: 15.76 Min: 15.61 / Avg: 15.67 / Max: 15.75 Min: 15.02 / Avg: 15.04 / Max: 15.06 Min: 15.63 / Avg: 15.66 / Max: 15.69 Min: 15.16 / Avg: 15.2 / Max: 15.28 Min: 15.16 / Avg: 15.25 / Max: 15.37 Min: 15.23 / Avg: 15.25 / Max: 15.28 Min: 15.12 / Avg: 15.12 / Max: 15.13 Min: 15.86 / Avg: 15.96 / Max: 16.04 Min: 15.05 / Avg: 15.17 / Max: 15.24 Min: 15.24 / Avg: 15.28 / Max: 15.31 Min: 15.31 / Avg: 15.35 / Max: 15.42 Min: 14.8 / Avg: 14.83 / Max: 14.87 Min: 15.39 / Avg: 15.5 / Max: 15.57 Min: 15.43 / Avg: 15.54 / Max: 15.63
PostgreSQL pgbench This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1000 - Clients: 1 - Mode: Read Write EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 700 1400 2100 2800 3500 SE +/- 28.94, N = 3 SE +/- 1.38, N = 3 SE +/- 3.64, N = 3 SE +/- 18.01, N = 3 SE +/- 17.22, N = 3 SE +/- 27.23, N = 3 SE +/- 26.42, N = 3 SE +/- 28.38, N = 3 SE +/- 37.57, N = 3 SE +/- 9.34, N = 3 SE +/- 17.32, N = 3 SE +/- 13.16, N = 3 SE +/- 15.96, N = 3 SE +/- 12.96, N = 3 SE +/- 31.89, N = 3 SE +/- 19.16, N = 3 SE +/- 16.59, N = 3 SE +/- 23.86, N = 3 SE +/- 13.05, N = 3 SE +/- 36.25, N = 3 3103 2852 2891 2877 2845 2859 2872 2935 2673 2835 2877 2850 2914 2717 2680 2745 2757 2498 2482 2568 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result Confidence
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1000 - Clients: 1 - Mode: Read Write EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 500 1000 1500 2000 2500 Min: 3062.29 / Avg: 3103.44 / Max: 3159.28 Min: 2849.66 / Avg: 2851.95 / Max: 2854.42 Min: 2883.86 / Avg: 2891.13 / Max: 2895.01 Min: 2840.72 / Avg: 2876.63 / Max: 2897.01 Min: 2825.52 / Avg: 2845.46 / Max: 2879.74 Min: 2806.49 / Avg: 2859.08 / Max: 2897.62 Min: 2824.25 / Avg: 2872.16 / Max: 2915.42 Min: 2901.28 / Avg: 2935.34 / Max: 2991.69 Min: 2611.35 / Avg: 2672.99 / Max: 2741.03 Min: 2817.49 / Avg: 2835.09 / Max: 2849.31 Min: 2844.57 / Avg: 2877.05 / Max: 2903.7 Min: 2823.33 / Avg: 2849.63 / Max: 2863.69 Min: 2881.99 / Avg: 2913.86 / Max: 2931.47 Min: 2695.19 / Avg: 2717.14 / Max: 2740.04 Min: 2630.77 / Avg: 2680.14 / Max: 2739.79 Min: 2714.71 / Avg: 2744.76 / Max: 2780.38 Min: 2724.8 / Avg: 2756.58 / Max: 2780.72 Min: 2451.18 / Avg: 2497.82 / Max: 2529.91 Min: 2458.31 / Avg: 2481.71 / Max: 2503.41 Min: 2506.37 / Avg: 2568.17 / Max: 2631.9 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
PyPerformance PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: json_loads EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 8 16 24 32 40 SE +/- 0.00, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 28.9 27.4 27.4 32.0 32.4 32.4 32.2 31.3 32.4 31.8 31.8 31.7 31.7 34.2 32.3 33.3 33.3 31.3 33.4 33.4
Result Confidence
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: json_loads EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 7 14 21 28 35 Min: 28.9 / Avg: 28.9 / Max: 28.9 Min: 27.3 / Avg: 27.4 / Max: 27.5 Min: 27.3 / Avg: 27.37 / Max: 27.4 Min: 31.9 / Avg: 32 / Max: 32.1 Min: 32.4 / Avg: 32.4 / Max: 32.4 Min: 32.4 / Avg: 32.43 / Max: 32.5 Min: 32.2 / Avg: 32.2 / Max: 32.2 Min: 31.3 / Avg: 31.33 / Max: 31.4 Min: 32.3 / Avg: 32.37 / Max: 32.4 Min: 31.7 / Avg: 31.77 / Max: 31.8 Min: 31.8 / Avg: 31.8 / Max: 31.8 Min: 31.7 / Avg: 31.7 / Max: 31.7 Min: 31.7 / Avg: 31.73 / Max: 31.8 Min: 34.2 / Avg: 34.23 / Max: 34.3 Min: 32.3 / Avg: 32.33 / Max: 32.4 Min: 33.2 / Avg: 33.27 / Max: 33.3 Min: 33.3 / Avg: 33.33 / Max: 33.4 Min: 31.3 / Avg: 31.33 / Max: 31.4 Min: 33.4 / Avg: 33.43 / Max: 33.5 Min: 33.3 / Avg: 33.37 / Max: 33.4
System GZIP Decompression This simple test measures the time to decompress a gzipped tarball (the Qt5 toolkit source package). Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better System GZIP Decompression EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 0.884 1.768 2.652 3.536 4.42 SE +/- 0.040, N = 5 SE +/- 0.039, N = 5 SE +/- 0.040, N = 5 SE +/- 0.063, N = 3 SE +/- 0.051, N = 4 SE +/- 0.050, N = 5 SE +/- 0.059, N = 3 SE +/- 0.049, N = 4 SE +/- 0.063, N = 3 SE +/- 0.053, N = 4 SE +/- 0.053, N = 4 SE +/- 0.058, N = 3 SE +/- 0.052, N = 4 SE +/- 0.067, N = 3 SE +/- 0.050, N = 4 SE +/- 0.053, N = 4 SE +/- 0.063, N = 3 SE +/- 0.049, N = 4 SE +/- 0.062, N = 3 SE +/- 0.052, N = 4 3.319 3.149 3.160 3.708 3.724 3.722 3.745 3.628 3.755 3.677 3.662 3.702 3.664 3.929 3.710 3.836 3.862 3.636 3.866 3.836
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better System GZIP Decompression EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 2 4 6 8 10 Min: 3.28 / Avg: 3.32 / Max: 3.48 Min: 3.1 / Avg: 3.15 / Max: 3.31 Min: 3.1 / Avg: 3.16 / Max: 3.32 Min: 3.64 / Avg: 3.71 / Max: 3.84 Min: 3.66 / Avg: 3.72 / Max: 3.88 Min: 3.66 / Avg: 3.72 / Max: 3.92 Min: 3.68 / Avg: 3.75 / Max: 3.86 Min: 3.57 / Avg: 3.63 / Max: 3.78 Min: 3.68 / Avg: 3.75 / Max: 3.88 Min: 3.61 / Avg: 3.68 / Max: 3.83 Min: 3.6 / Avg: 3.66 / Max: 3.82 Min: 3.61 / Avg: 3.7 / Max: 3.81 Min: 3.6 / Avg: 3.66 / Max: 3.82 Min: 3.85 / Avg: 3.93 / Max: 4.06 Min: 3.66 / Avg: 3.71 / Max: 3.86 Min: 3.77 / Avg: 3.84 / Max: 3.99 Min: 3.79 / Avg: 3.86 / Max: 3.99 Min: 3.58 / Avg: 3.64 / Max: 3.78 Min: 3.8 / Avg: 3.87 / Max: 3.99 Min: 3.77 / Avg: 3.84 / Max: 3.99
PostgreSQL pgbench This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1000 - Clients: 1 - Mode: Read Write - Average Latency EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 0.0907 0.1814 0.2721 0.3628 0.4535 SE +/- 0.003, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 SE +/- 0.003, N = 3 SE +/- 0.003, N = 3 SE +/- 0.003, N = 3 SE +/- 0.005, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 SE +/- 0.004, N = 3 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 SE +/- 0.004, N = 3 SE +/- 0.002, N = 3 SE +/- 0.005, N = 3 0.323 0.351 0.346 0.348 0.351 0.350 0.348 0.341 0.374 0.353 0.348 0.351 0.343 0.368 0.373 0.364 0.363 0.400 0.403 0.390 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1000 - Clients: 1 - Mode: Read Write - Average Latency EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 1 2 3 4 5 Min: 0.32 / Avg: 0.32 / Max: 0.33 Min: 0.35 / Avg: 0.35 / Max: 0.35 Min: 0.35 / Avg: 0.35 / Max: 0.35 Min: 0.35 / Avg: 0.35 / Max: 0.35 Min: 0.35 / Avg: 0.35 / Max: 0.35 Min: 0.35 / Avg: 0.35 / Max: 0.36 Min: 0.34 / Avg: 0.35 / Max: 0.35 Min: 0.33 / Avg: 0.34 / Max: 0.35 Min: 0.37 / Avg: 0.37 / Max: 0.38 Min: 0.35 / Avg: 0.35 / Max: 0.36 Min: 0.34 / Avg: 0.35 / Max: 0.35 Min: 0.35 / Avg: 0.35 / Max: 0.35 Min: 0.34 / Avg: 0.34 / Max: 0.35 Min: 0.37 / Avg: 0.37 / Max: 0.37 Min: 0.37 / Avg: 0.37 / Max: 0.38 Min: 0.36 / Avg: 0.36 / Max: 0.37 Min: 0.36 / Avg: 0.36 / Max: 0.37 Min: 0.4 / Avg: 0.4 / Max: 0.41 Min: 0.4 / Avg: 0.4 / Max: 0.41 Min: 0.38 / Avg: 0.39 / Max: 0.4 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
FFTW FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Mflops, More Is Better FFTW 3.3.6 Build: Float + SSE - Size: 1D FFT Size 32 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 3K 6K 9K 12K 15K SE +/- 12.57, N = 3 SE +/- 91.46, N = 3 SE +/- 23.39, N = 3 SE +/- 101.29, N = 11 SE +/- 12.03, N = 3 SE +/- 14.15, N = 3 SE +/- 61.76, N = 3 SE +/- 99.28, N = 3 SE +/- 16.29, N = 3 SE +/- 20.22, N = 3 SE +/- 19.40, N = 3 SE +/- 17.82, N = 3 SE +/- 16.44, N = 3 SE +/- 26.03, N = 3 SE +/- 24.18, N = 3 SE +/- 57.25, N = 3 SE +/- 11.14, N = 3 SE +/- 45.96, N = 3 SE +/- 101.77, N = 3 SE +/- 44.12, N = 3 12827 13599 13536 11479 11511 11476 11488 11671 11459 11708 11652 11589 11650 10901 11486 11146 11081 11856 10973 11070 1. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm
Result Confidence
OpenBenchmarking.org Mflops, More Is Better FFTW 3.3.6 Build: Float + SSE - Size: 1D FFT Size 32 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 2K 4K 6K 8K 10K Min: 12803 / Avg: 12827.33 / Max: 12845 Min: 13417 / Avg: 13598.67 / Max: 13708 Min: 13491 / Avg: 13536.33 / Max: 13569 Min: 10588 / Avg: 11479.45 / Max: 11738 Min: 11493 / Avg: 11511.33 / Max: 11534 Min: 11452 / Avg: 11476.33 / Max: 11501 Min: 11390 / Avg: 11487.67 / Max: 11602 Min: 11474 / Avg: 11671 / Max: 11791 Min: 11427 / Avg: 11459.33 / Max: 11479 Min: 11668 / Avg: 11708.33 / Max: 11731 Min: 11623 / Avg: 11652.33 / Max: 11689 Min: 11567 / Avg: 11588.67 / Max: 11624 Min: 11625 / Avg: 11650 / Max: 11681 Min: 10858 / Avg: 10901.33 / Max: 10948 Min: 11452 / Avg: 11486.33 / Max: 11533 Min: 11050 / Avg: 11145.67 / Max: 11248 Min: 11059 / Avg: 11081 / Max: 11095 Min: 11771 / Avg: 11855.67 / Max: 11929 Min: 10770 / Avg: 10973.33 / Max: 11083 Min: 11001 / Avg: 11069.67 / Max: 11152 1. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm
Renaissance Renaissance is a suite of benchmarks designed to test the Java JVM from Apache Spark to a Twitter-like service to Scala and other features. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better Renaissance 0.10.0 Test: Scala Dotty EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 400 800 1200 1600 2000 SE +/- 4.09, N = 5 SE +/- 3.83, N = 5 SE +/- 5.86, N = 5 SE +/- 7.96, N = 5 SE +/- 10.78, N = 5 SE +/- 6.49, N = 5 SE +/- 6.15, N = 5 SE +/- 6.83, N = 5 SE +/- 11.71, N = 5 SE +/- 8.93, N = 5 SE +/- 8.18, N = 5 SE +/- 9.80, N = 5 SE +/- 5.82, N = 5 SE +/- 4.60, N = 5 SE +/- 2.12, N = 5 SE +/- 7.02, N = 5 SE +/- 7.81, N = 5 SE +/- 7.90, N = 5 SE +/- 9.93, N = 5 SE +/- 4.09, N = 5 1643.61 1598.01 1575.17 1821.92 1837.63 1838.71 1827.54 1762.01 1843.43 1786.25 1796.32 1785.43 1780.00 1887.64 1802.11 1840.49 1858.15 1778.59 1888.05 1963.09
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better Renaissance 0.10.0 Test: Scala Dotty EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 300 600 900 1200 1500 Min: 1636.18 / Avg: 1643.61 / Max: 1658.12 Min: 1590.06 / Avg: 1598.01 / Max: 1608.27 Min: 1556.35 / Avg: 1575.17 / Max: 1589.78 Min: 1806.27 / Avg: 1821.92 / Max: 1850.88 Min: 1806.07 / Avg: 1837.63 / Max: 1863.6 Min: 1823.01 / Avg: 1838.71 / Max: 1861.54 Min: 1810.41 / Avg: 1827.54 / Max: 1846.46 Min: 1750.8 / Avg: 1762.01 / Max: 1788.05 Min: 1814.21 / Avg: 1843.43 / Max: 1871.61 Min: 1767.26 / Avg: 1786.25 / Max: 1808.33 Min: 1777.39 / Avg: 1796.32 / Max: 1818.83 Min: 1761.02 / Avg: 1785.43 / Max: 1812.16 Min: 1771.68 / Avg: 1780 / Max: 1802.96 Min: 1875.72 / Avg: 1887.64 / Max: 1899.29 Min: 1794.77 / Avg: 1802.11 / Max: 1807.79 Min: 1821.78 / Avg: 1840.49 / Max: 1861.9 Min: 1843.06 / Avg: 1858.15 / Max: 1881.85 Min: 1763.98 / Avg: 1778.58 / Max: 1801.84 Min: 1872.26 / Avg: 1888.05 / Max: 1924.57 Min: 1949.67 / Avg: 1963.09 / Max: 1972.52
GEGL GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Wavelet Blur EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 20 40 60 80 100 SE +/- 0.08, N = 3 SE +/- 0.18, N = 3 SE +/- 0.03, N = 3 SE +/- 0.14, N = 3 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 SE +/- 0.12, N = 3 SE +/- 0.08, N = 3 SE +/- 0.05, N = 3 SE +/- 0.14, N = 3 SE +/- 0.03, N = 3 SE +/- 0.10, N = 3 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 64.06 60.83 59.91 70.56 71.37 72.04 71.43 69.10 72.29 70.14 70.40 70.43 69.97 74.53 70.56 72.09 72.33 68.38 71.91 72.00
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Wavelet Blur EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 14 28 42 56 70 Min: 63.9 / Avg: 64.06 / Max: 64.16 Min: 60.48 / Avg: 60.83 / Max: 61.01 Min: 59.85 / Avg: 59.91 / Max: 59.97 Min: 70.31 / Avg: 70.56 / Max: 70.8 Min: 71.2 / Avg: 71.37 / Max: 71.46 Min: 71.98 / Avg: 72.04 / Max: 72.07 Min: 71.31 / Avg: 71.43 / Max: 71.67 Min: 68.96 / Avg: 69.1 / Max: 69.25 Min: 72.21 / Avg: 72.29 / Max: 72.38 Min: 69.89 / Avg: 70.14 / Max: 70.38 Min: 70.36 / Avg: 70.4 / Max: 70.47 Min: 70.28 / Avg: 70.43 / Max: 70.62 Min: 69.89 / Avg: 69.97 / Max: 70.06 Min: 74.42 / Avg: 74.53 / Max: 74.6 Min: 70.47 / Avg: 70.56 / Max: 70.62 Min: 72.06 / Avg: 72.09 / Max: 72.16 Min: 72.24 / Avg: 72.33 / Max: 72.4 Min: 68.36 / Avg: 68.38 / Max: 68.4 Min: 71.85 / Avg: 71.91 / Max: 72.03 Min: 71.94 / Avg: 72 / Max: 72.06
libavif avifenc This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.7.3 Encoder Speed: 10 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 2 4 6 8 10 SE +/- 0.020, N = 3 SE +/- 0.004, N = 3 SE +/- 0.011, N = 3 SE +/- 0.014, N = 3 SE +/- 0.017, N = 3 SE +/- 0.017, N = 3 SE +/- 0.017, N = 3 SE +/- 0.023, N = 3 SE +/- 0.020, N = 3 SE +/- 0.024, N = 3 SE +/- 0.008, N = 3 SE +/- 0.009, N = 3 SE +/- 0.014, N = 3 SE +/- 0.011, N = 3 SE +/- 0.032, N = 3 SE +/- 0.016, N = 3 5.562 5.031 5.231 5.722 5.940 5.820 5.803 5.846 5.826 6.169 5.715 5.840 5.905 5.924 6.258 6.233 1. (CXX) g++ options: -O3 -fPIC
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.7.3 Encoder Speed: 10 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 Min: 5.53 / Avg: 5.56 / Max: 5.6 Min: 5.03 / Avg: 5.03 / Max: 5.04 Min: 5.21 / Avg: 5.23 / Max: 5.25 Min: 5.7 / Avg: 5.72 / Max: 5.75 Min: 5.91 / Avg: 5.94 / Max: 5.97 Min: 5.8 / Avg: 5.82 / Max: 5.85 Min: 5.78 / Avg: 5.8 / Max: 5.84 Min: 5.81 / Avg: 5.85 / Max: 5.89 Min: 5.79 / Avg: 5.83 / Max: 5.85 Min: 6.13 / Avg: 6.17 / Max: 6.21 Min: 5.7 / Avg: 5.72 / Max: 5.73 Min: 5.83 / Avg: 5.84 / Max: 5.86 Min: 5.89 / Avg: 5.91 / Max: 5.93 Min: 5.91 / Avg: 5.92 / Max: 5.95 Min: 6.2 / Avg: 6.26 / Max: 6.31 Min: 6.21 / Avg: 6.23 / Max: 6.26 1. (CXX) g++ options: -O3 -fPIC
WebP Image Encode This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100, Lossless EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 5 10 15 20 25 SE +/- 0.00, N = 3 SE +/- 0.11, N = 3 SE +/- 0.13, N = 3 SE +/- 0.02, N = 3 SE +/- 0.15, N = 3 SE +/- 0.13, N = 3 SE +/- 0.14, N = 3 SE +/- 0.03, N = 3 SE +/- 0.12, N = 3 SE +/- 0.02, N = 3 SE +/- 0.13, N = 3 SE +/- 0.13, N = 3 SE +/- 0.07, N = 3 SE +/- 0.02, N = 3 SE +/- 0.11, N = 3 SE +/- 0.13, N = 3 SE +/- 0.21, N = 3 SE +/- 0.15, N = 3 SE +/- 0.11, N = 3 SE +/- 0.12, N = 3 19.02 18.00 18.12 21.01 21.14 21.02 21.05 20.60 21.08 20.93 20.78 20.82 20.91 21.81 21.22 21.72 21.90 20.64 22.17 22.37 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
Result Confidence
OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100, Lossless EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 5 10 15 20 25 Min: 19.01 / Avg: 19.02 / Max: 19.03 Min: 17.78 / Avg: 18 / Max: 18.13 Min: 17.87 / Avg: 18.12 / Max: 18.32 Min: 20.99 / Avg: 21.01 / Max: 21.04 Min: 20.84 / Avg: 21.14 / Max: 21.35 Min: 20.88 / Avg: 21.02 / Max: 21.28 Min: 20.78 / Avg: 21.05 / Max: 21.2 Min: 20.54 / Avg: 20.6 / Max: 20.64 Min: 20.84 / Avg: 21.08 / Max: 21.24 Min: 20.89 / Avg: 20.92 / Max: 20.96 Min: 20.52 / Avg: 20.78 / Max: 20.95 Min: 20.55 / Avg: 20.82 / Max: 20.97 Min: 20.78 / Avg: 20.91 / Max: 21 Min: 21.8 / Avg: 21.81 / Max: 21.84 Min: 20.99 / Avg: 21.22 / Max: 21.35 Min: 21.57 / Avg: 21.72 / Max: 21.97 Min: 21.53 / Avg: 21.9 / Max: 22.27 Min: 20.34 / Avg: 20.64 / Max: 20.82 Min: 21.96 / Avg: 22.17 / Max: 22.31 Min: 22.22 / Avg: 22.37 / Max: 22.61 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
PyPerformance PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: raytrace EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 130 260 390 520 650 SE +/- 0.88, N = 3 SE +/- 0.33, N = 3 SE +/- 1.76, N = 3 SE +/- 1.20, N = 3 SE +/- 2.31, N = 3 SE +/- 0.88, N = 3 SE +/- 1.20, N = 3 SE +/- 1.33, N = 3 SE +/- 0.58, N = 3 SE +/- 1.86, N = 3 SE +/- 0.58, N = 3 SE +/- 1.20, N = 3 SE +/- 1.45, N = 3 SE +/- 1.86, N = 3 SE +/- 1.00, N = 3 SE +/- 0.33, N = 3 SE +/- 0.58, N = 3 500 474 471 554 561 571 558 544 561 550 552 552 551 585 559 575 575 541 577 576
Result Confidence
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: raytrace EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 100 200 300 400 500 Min: 473 / Avg: 474.33 / Max: 476 Min: 471 / Avg: 471.33 / Max: 472 Min: 551 / Avg: 554.33 / Max: 557 Min: 569 / Avg: 570.67 / Max: 573 Min: 540 / Avg: 544 / Max: 548 Min: 560 / Avg: 561.33 / Max: 563 Min: 548 / Avg: 550.33 / Max: 552 Min: 551 / Avg: 552.33 / Max: 555 Min: 551 / Avg: 552 / Max: 553 Min: 549 / Avg: 551.33 / Max: 555 Min: 584 / Avg: 585 / Max: 586 Min: 557 / Avg: 558.67 / Max: 561 Min: 573 / Avg: 575.33 / Max: 578 Min: 571 / Avg: 574.67 / Max: 577 Min: 540 / Avg: 541 / Max: 543 Min: 576 / Avg: 576.67 / Max: 577 Min: 575 / Avg: 576 / Max: 577
Result
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: pathlib EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 5 10 15 20 25 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 18.9 17.4 17.5 20.5 20.5 20.5 20.3 20.0 20.5 20.1 20.3 20.2 20.0 21.6 20.5 21.2 21.3 20.2 21.5 21.6
Result Confidence
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: pathlib EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 5 10 15 20 25 Min: 18.9 / Avg: 18.93 / Max: 19 Min: 17.3 / Avg: 17.37 / Max: 17.4 Min: 17.5 / Avg: 17.5 / Max: 17.5 Min: 20.4 / Avg: 20.47 / Max: 20.5 Min: 20.5 / Avg: 20.53 / Max: 20.6 Min: 20.5 / Avg: 20.5 / Max: 20.5 Min: 20.3 / Avg: 20.3 / Max: 20.3 Min: 20.5 / Avg: 20.53 / Max: 20.6 Min: 20.1 / Avg: 20.1 / Max: 20.1 Min: 20.3 / Avg: 20.33 / Max: 20.4 Min: 20.2 / Avg: 20.2 / Max: 20.2 Min: 21.6 / Avg: 21.6 / Max: 21.6 Min: 20.5 / Avg: 20.5 / Max: 20.5 Min: 21.2 / Avg: 21.2 / Max: 21.2 Min: 21.2 / Avg: 21.27 / Max: 21.3 Min: 20.1 / Avg: 20.17 / Max: 20.2 Min: 21.5 / Avg: 21.53 / Max: 21.6 Min: 21.5 / Avg: 21.57 / Max: 21.6
LAME MP3 Encoding LAME is an MP3 encoder licensed under the LGPL. This test measures the time required to encode a WAV file to MP3 format. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better LAME MP3 Encoding 3.100 WAV To MP3 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 SE +/- 0.002, N = 3 SE +/- 0.006, N = 3 SE +/- 0.008, N = 3 SE +/- 0.005, N = 3 SE +/- 0.019, N = 3 SE +/- 0.005, N = 3 SE +/- 0.007, N = 3 SE +/- 0.003, N = 3 SE +/- 0.012, N = 3 SE +/- 0.002, N = 3 SE +/- 0.004, N = 3 SE +/- 0.007, N = 3 SE +/- 0.005, N = 3 SE +/- 0.022, N = 3 SE +/- 0.009, N = 3 SE +/- 0.007, N = 3 SE +/- 0.014, N = 3 SE +/- 0.037, N = 3 SE +/- 0.026, N = 3 SE +/- 0.001, N = 3 8.552 8.138 8.174 9.477 9.591 9.591 9.589 9.295 9.633 9.435 9.435 9.441 9.436 10.102 9.578 9.885 9.964 9.449 10.003 9.878 1. (CC) gcc options: -O3 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr -pipe -lncurses -lm
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better LAME MP3 Encoding 3.100 WAV To MP3 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 Min: 8.55 / Avg: 8.55 / Max: 8.56 Min: 8.13 / Avg: 8.14 / Max: 8.15 Min: 8.16 / Avg: 8.17 / Max: 8.19 Min: 9.47 / Avg: 9.48 / Max: 9.48 Min: 9.57 / Avg: 9.59 / Max: 9.63 Min: 9.58 / Avg: 9.59 / Max: 9.6 Min: 9.57 / Avg: 9.59 / Max: 9.6 Min: 9.29 / Avg: 9.3 / Max: 9.3 Min: 9.61 / Avg: 9.63 / Max: 9.65 Min: 9.43 / Avg: 9.43 / Max: 9.44 Min: 9.43 / Avg: 9.44 / Max: 9.44 Min: 9.43 / Avg: 9.44 / Max: 9.45 Min: 9.43 / Avg: 9.44 / Max: 9.45 Min: 10.06 / Avg: 10.1 / Max: 10.13 Min: 9.56 / Avg: 9.58 / Max: 9.59 Min: 9.88 / Avg: 9.88 / Max: 9.9 Min: 9.95 / Avg: 9.96 / Max: 9.99 Min: 9.4 / Avg: 9.45 / Max: 9.52 Min: 9.97 / Avg: 10 / Max: 10.06 Min: 9.88 / Avg: 9.88 / Max: 9.88 1. (CC) gcc options: -O3 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr -pipe -lncurses -lm
Bullet Physics Engine This is a benchmark of the Bullet Physics Engine. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Bullet Physics Engine 2.81 Test: Convex Trimesh EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 0.2947 0.5894 0.8841 1.1788 1.4735 SE +/- 0.002331, N = 3 SE +/- 0.000910, N = 3 SE +/- 0.002177, N = 3 SE +/- 0.001369, N = 3 SE +/- 0.001818, N = 3 SE +/- 0.000236, N = 3 SE +/- 0.003407, N = 3 SE +/- 0.000067, N = 3 SE +/- 0.003502, N = 3 SE +/- 0.000831, N = 3 SE +/- 0.000599, N = 3 SE +/- 0.000499, N = 3 SE +/- 0.000237, N = 3 SE +/- 0.000758, N = 3 SE +/- 0.001157, N = 3 SE +/- 0.003026, N = 3 SE +/- 0.003246, N = 3 SE +/- 0.004902, N = 3 SE +/- 0.003378, N = 3 SE +/- 0.001278, N = 3 1.115877 1.055572 1.059790 1.231897 1.249168 1.244588 1.248408 1.207137 1.251942 1.242573 1.227227 1.226732 1.228600 1.305372 1.244002 1.284880 1.292170 1.217988 1.309975 1.304260 1. (CXX) g++ options: -O3 -rdynamic -lglut -lGL -lGLU
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Bullet Physics Engine 2.81 Test: Convex Trimesh EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 2 4 6 8 10 Min: 1.11 / Avg: 1.12 / Max: 1.12 Min: 1.05 / Avg: 1.06 / Max: 1.06 Min: 1.06 / Avg: 1.06 / Max: 1.06 Min: 1.23 / Avg: 1.23 / Max: 1.23 Min: 1.25 / Avg: 1.25 / Max: 1.25 Min: 1.24 / Avg: 1.24 / Max: 1.25 Min: 1.24 / Avg: 1.25 / Max: 1.26 Min: 1.21 / Avg: 1.21 / Max: 1.21 Min: 1.25 / Avg: 1.25 / Max: 1.26 Min: 1.24 / Avg: 1.24 / Max: 1.24 Min: 1.23 / Avg: 1.23 / Max: 1.23 Min: 1.23 / Avg: 1.23 / Max: 1.23 Min: 1.23 / Avg: 1.23 / Max: 1.23 Min: 1.3 / Avg: 1.31 / Max: 1.31 Min: 1.24 / Avg: 1.24 / Max: 1.25 Min: 1.28 / Avg: 1.28 / Max: 1.29 Min: 1.29 / Avg: 1.29 / Max: 1.3 Min: 1.21 / Avg: 1.22 / Max: 1.22 Min: 1.3 / Avg: 1.31 / Max: 1.32 Min: 1.3 / Avg: 1.3 / Max: 1.31 1. (CXX) g++ options: -O3 -rdynamic -lglut -lGL -lGLU
FFTW FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Mflops, More Is Better FFTW 3.3.6 Build: Stock - Size: 1D FFT Size 4096 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 2K 4K 6K 8K 10K SE +/- 3.40, N = 3 SE +/- 14.12, N = 3 SE +/- 8.20, N = 3 SE +/- 42.92, N = 3 SE +/- 3.40, N = 3 SE +/- 10.39, N = 3 SE +/- 4.22, N = 3 SE +/- 8.69, N = 3 SE +/- 6.46, N = 3 SE +/- 2.98, N = 3 SE +/- 5.42, N = 3 SE +/- 8.47, N = 3 SE +/- 16.43, N = 3 SE +/- 10.11, N = 3 SE +/- 45.24, N = 3 SE +/- 17.03, N = 3 SE +/- 19.95, N = 3 SE +/- 16.82, N = 3 SE +/- 14.33, N = 3 SE +/- 12.66, N = 3 7482.1 7899.6 7878.3 6674.8 6679.4 6680.9 6686.3 6880.4 6689.9 6787.9 6785.7 6773.0 6787.6 6365.7 6648.8 6480.9 6434.6 6868.2 6408.3 6485.8 1. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm
Result Confidence
OpenBenchmarking.org Mflops, More Is Better FFTW 3.3.6 Build: Stock - Size: 1D FFT Size 4096 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 1400 2800 4200 5600 7000 Min: 7476.9 / Avg: 7482.1 / Max: 7488.5 Min: 7873.7 / Avg: 7899.6 / Max: 7922.3 Min: 7861.9 / Avg: 7878.3 / Max: 7886.5 Min: 6625.4 / Avg: 6674.8 / Max: 6760.3 Min: 6672.8 / Avg: 6679.4 / Max: 6684.1 Min: 6660.1 / Avg: 6680.87 / Max: 6692 Min: 6678.5 / Avg: 6686.27 / Max: 6693 Min: 6871 / Avg: 6880.43 / Max: 6897.8 Min: 6677.1 / Avg: 6689.87 / Max: 6698 Min: 6782.5 / Avg: 6787.9 / Max: 6792.8 Min: 6778.9 / Avg: 6785.7 / Max: 6796.4 Min: 6757.4 / Avg: 6773.03 / Max: 6786.5 Min: 6754.8 / Avg: 6787.57 / Max: 6806 Min: 6350.8 / Avg: 6365.73 / Max: 6385 Min: 6558.4 / Avg: 6648.77 / Max: 6697.7 Min: 6450.1 / Avg: 6480.9 / Max: 6508.9 Min: 6412.7 / Avg: 6434.57 / Max: 6474.4 Min: 6847.8 / Avg: 6868.23 / Max: 6901.6 Min: 6384 / Avg: 6408.33 / Max: 6433.6 Min: 6460.7 / Avg: 6485.83 / Max: 6501.1 1. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm
Botan Botan is a cross-platform open-source C++ crypto library that supports most all publicly known cryptographic algorithms. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org MiB/s, More Is Better Botan 2.13.0 Test: AES-256 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 1100 2200 3300 4400 5500 SE +/- 0.45, N = 3 SE +/- 0.17, N = 3 SE +/- 11.63, N = 3 SE +/- 3.59, N = 3 SE +/- 1.01, N = 3 SE +/- 0.50, N = 3 SE +/- 7.30, N = 3 SE +/- 0.70, N = 3 SE +/- 0.73, N = 3 SE +/- 0.43, N = 3 SE +/- 2.04, N = 3 SE +/- 0.49, N = 3 SE +/- 0.72, N = 3 SE +/- 4.52, N = 3 SE +/- 0.37, N = 3 SE +/- 0.46, N = 3 SE +/- 5.52, N = 3 SE +/- 2.02, N = 3 SE +/- 5.64, N = 3 SE +/- 0.40, N = 3 4938.52 5205.65 5165.05 4458.22 4403.81 4405.75 4397.19 4538.40 4405.46 4472.13 4470.35 4472.15 4472.73 4195.41 4406.41 4272.70 4247.54 4535.60 4230.65 4273.08 1. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
Result Confidence
OpenBenchmarking.org MiB/s, More Is Better Botan 2.13.0 Test: AES-256 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 900 1800 2700 3600 4500 Min: 4937.84 / Avg: 4938.52 / Max: 4939.37 Min: 5205.31 / Avg: 5205.65 / Max: 5205.87 Min: 5141.81 / Avg: 5165.05 / Max: 5177.6 Min: 4454.33 / Avg: 4458.22 / Max: 4465.38 Min: 4401.81 / Avg: 4403.81 / Max: 4405.07 Min: 4404.93 / Avg: 4405.75 / Max: 4406.67 Min: 4382.74 / Avg: 4397.19 / Max: 4406.2 Min: 4537.09 / Avg: 4538.4 / Max: 4539.48 Min: 4404.07 / Avg: 4405.46 / Max: 4406.52 Min: 4471.27 / Avg: 4472.13 / Max: 4472.64 Min: 4466.28 / Avg: 4470.35 / Max: 4472.69 Min: 4471.19 / Avg: 4472.15 / Max: 4472.78 Min: 4471.91 / Avg: 4472.73 / Max: 4474.16 Min: 4186.38 / Avg: 4195.41 / Max: 4200.32 Min: 4405.81 / Avg: 4406.41 / Max: 4407.1 Min: 4271.85 / Avg: 4272.7 / Max: 4273.41 Min: 4237.16 / Avg: 4247.54 / Max: 4256 Min: 4531.58 / Avg: 4535.6 / Max: 4537.98 Min: 4224.18 / Avg: 4230.65 / Max: 4241.89 Min: 4272.36 / Avg: 4273.08 / Max: 4273.74 1. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
Bullet Physics Engine This is a benchmark of the Bullet Physics Engine. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Bullet Physics Engine 2.81 Test: Raytests EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 0.6466 1.2932 1.9398 2.5864 3.233 SE +/- 0.004888, N = 3 SE +/- 0.001325, N = 3 SE +/- 0.006708, N = 3 SE +/- 0.001274, N = 3 SE +/- 0.002314, N = 3 SE +/- 0.001561, N = 3 SE +/- 0.006182, N = 3 SE +/- 0.000667, N = 3 SE +/- 0.001823, N = 3 SE +/- 0.001364, N = 3 SE +/- 0.000407, N = 3 SE +/- 0.003514, N = 3 SE +/- 0.002052, N = 3 SE +/- 0.002457, N = 3 SE +/- 0.003016, N = 3 SE +/- 0.003750, N = 3 SE +/- 0.005844, N = 3 SE +/- 0.000749, N = 3 SE +/- 0.009831, N = 3 SE +/- 0.002642, N = 3 2.449580 2.316262 2.331713 2.715117 2.740498 2.732245 2.740470 2.655180 2.768810 2.709800 2.693092 2.696217 2.696305 2.868562 2.735240 2.834173 2.837977 2.690606 2.873772 2.839029 1. (CXX) g++ options: -O3 -rdynamic -lglut -lGL -lGLU
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Bullet Physics Engine 2.81 Test: Raytests EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 2 4 6 8 10 Min: 2.44 / Avg: 2.45 / Max: 2.46 Min: 2.31 / Avg: 2.32 / Max: 2.32 Min: 2.32 / Avg: 2.33 / Max: 2.34 Min: 2.71 / Avg: 2.72 / Max: 2.72 Min: 2.74 / Avg: 2.74 / Max: 2.74 Min: 2.73 / Avg: 2.73 / Max: 2.73 Min: 2.73 / Avg: 2.74 / Max: 2.75 Min: 2.65 / Avg: 2.66 / Max: 2.66 Min: 2.77 / Avg: 2.77 / Max: 2.77 Min: 2.71 / Avg: 2.71 / Max: 2.71 Min: 2.69 / Avg: 2.69 / Max: 2.69 Min: 2.69 / Avg: 2.7 / Max: 2.7 Min: 2.69 / Avg: 2.7 / Max: 2.7 Min: 2.86 / Avg: 2.87 / Max: 2.87 Min: 2.73 / Avg: 2.74 / Max: 2.74 Min: 2.83 / Avg: 2.83 / Max: 2.84 Min: 2.83 / Avg: 2.84 / Max: 2.85 Min: 2.69 / Avg: 2.69 / Max: 2.69 Min: 2.86 / Avg: 2.87 / Max: 2.89 Min: 2.83 / Avg: 2.84 / Max: 2.84 1. (CXX) g++ options: -O3 -rdynamic -lglut -lGL -lGLU
Botan Botan is a cross-platform open-source C++ crypto library that supports most all publicly known cryptographic algorithms. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org MiB/s, More Is Better Botan 2.13.0 Test: Blowfish EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 90 180 270 360 450 SE +/- 0.08, N = 3 SE +/- 0.17, N = 3 SE +/- 0.85, N = 3 SE +/- 0.52, N = 3 SE +/- 0.11, N = 3 SE +/- 0.09, N = 3 SE +/- 0.24, N = 3 SE +/- 0.29, N = 3 SE +/- 4.59, N = 4 SE +/- 0.06, N = 3 SE +/- 0.13, N = 3 SE +/- 0.11, N = 3 SE +/- 0.28, N = 3 SE +/- 0.34, N = 3 SE +/- 0.08, N = 3 SE +/- 0.02, N = 3 SE +/- 0.27, N = 3 SE +/- 0.10, N = 3 SE +/- 0.24, N = 3 SE +/- 0.03, N = 3 402.57 424.12 420.08 362.64 359.12 359.14 358.90 370.17 354.73 364.47 364.82 364.53 364.33 341.93 359.12 348.10 345.62 369.89 344.85 348.20 1. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
Result Confidence
OpenBenchmarking.org MiB/s, More Is Better Botan 2.13.0 Test: Blowfish EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 80 160 240 320 400 Min: 402.41 / Avg: 402.57 / Max: 402.69 Min: 423.79 / Avg: 424.12 / Max: 424.37 Min: 419.22 / Avg: 420.08 / Max: 421.77 Min: 361.93 / Avg: 362.64 / Max: 363.65 Min: 358.94 / Avg: 359.12 / Max: 359.32 Min: 359.02 / Avg: 359.14 / Max: 359.3 Min: 358.44 / Avg: 358.9 / Max: 359.26 Min: 369.59 / Avg: 370.17 / Max: 370.5 Min: 340.96 / Avg: 354.73 / Max: 359.49 Min: 364.4 / Avg: 364.47 / Max: 364.59 Min: 364.58 / Avg: 364.82 / Max: 365.03 Min: 364.38 / Avg: 364.53 / Max: 364.74 Min: 363.76 / Avg: 364.33 / Max: 364.62 Min: 341.43 / Avg: 341.93 / Max: 342.57 Min: 358.96 / Avg: 359.12 / Max: 359.25 Min: 348.07 / Avg: 348.1 / Max: 348.12 Min: 345.16 / Avg: 345.62 / Max: 346.1 Min: 369.74 / Avg: 369.89 / Max: 370.08 Min: 344.39 / Avg: 344.85 / Max: 345.2 Min: 348.13 / Avg: 348.2 / Max: 348.25 1. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
Polyhedron Fortran Benchmarks The Fortran.uk Polyhedron Fortran Benchmarks for comparing Fortran compiler performance. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Polyhedron Fortran Benchmarks Benchmark: rnflow EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 5 10 15 20 25 17.48 16.53 16.58 19.34 19.62 19.52 19.53 19.00 19.57 19.28 19.26 19.28 19.27 20.50 19.55 20.15 20.20 18.95 20.25 20.21
OpenBenchmarking.org Seconds, Fewer Is Better Polyhedron Fortran Benchmarks Benchmark: protein EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 4 8 12 16 20 14.41 13.66 13.78 15.97 16.15 16.15 16.15 15.67 16.15 15.89 15.90 15.88 15.89 16.94 16.13 16.66 16.76 15.67 16.83 16.63
FFTW FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Mflops, More Is Better FFTW 3.3.6 Build: Stock - Size: 1D FFT Size 32 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 2K 4K 6K 8K 10K SE +/- 6.72, N = 3 SE +/- 14.56, N = 3 SE +/- 17.77, N = 3 SE +/- 120.96, N = 12 SE +/- 25.41, N = 3 SE +/- 11.62, N = 3 SE +/- 25.12, N = 3 SE +/- 9.46, N = 3 SE +/- 26.37, N = 3 SE +/- 17.27, N = 3 SE +/- 34.91, N = 3 SE +/- 11.00, N = 3 SE +/- 15.10, N = 3 SE +/- 35.37, N = 3 SE +/- 26.00, N = 3 SE +/- 13.57, N = 3 SE +/- 18.94, N = 3 SE +/- 24.57, N = 3 SE +/- 64.79, N = 13 SE +/- 18.98, N = 3 8920.8 9439.3 9421.5 7964.4 8020.3 7949.4 8006.0 8216.8 8026.0 8099.7 8134.5 8120.4 8109.5 7612.7 7995.0 7730.8 7723.8 8220.9 7654.3 7745.0 1. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm
Result Confidence
OpenBenchmarking.org Mflops, More Is Better FFTW 3.3.6 Build: Stock - Size: 1D FFT Size 32 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 1600 3200 4800 6400 8000 Min: 8907.4 / Avg: 8920.77 / Max: 8928.6 Min: 9411 / Avg: 9439.3 / Max: 9459.4 Min: 9400.9 / Avg: 9421.53 / Max: 9456.9 Min: 6641.2 / Avg: 7964.4 / Max: 8138.6 Min: 7974 / Avg: 8020.27 / Max: 8061.6 Min: 7926.3 / Avg: 7949.4 / Max: 7963.1 Min: 7973.4 / Avg: 8006 / Max: 8055.4 Min: 8199 / Avg: 8216.83 / Max: 8231.2 Min: 7994.6 / Avg: 8026 / Max: 8078.4 Min: 8080.9 / Avg: 8099.7 / Max: 8134.2 Min: 8082.8 / Avg: 8134.5 / Max: 8201 Min: 8098.4 / Avg: 8120.37 / Max: 8132.3 Min: 8082.1 / Avg: 8109.47 / Max: 8134.2 Min: 7570.9 / Avg: 7612.67 / Max: 7683 Min: 7964.9 / Avg: 7995.03 / Max: 8046.8 Min: 7709 / Avg: 7730.8 / Max: 7755.7 Min: 7692.6 / Avg: 7723.83 / Max: 7758 Min: 8173.5 / Avg: 8220.87 / Max: 8255.9 Min: 6879.1 / Avg: 7654.31 / Max: 7742 Min: 7711.3 / Avg: 7744.97 / Max: 7777 1. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm
Bork File Encrypter Bork is a small, cross-platform file encryption utility. It is written in Java and designed to be included along with the files it encrypts for long-term storage. This test measures the amount of time it takes to encrypt a sample file. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Bork File Encrypter 1.4 File Encryption Time EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 SE +/- 0.025, N = 3 SE +/- 0.016, N = 3 SE +/- 0.042, N = 3 SE +/- 0.010, N = 3 SE +/- 0.022, N = 3 SE +/- 0.010, N = 3 SE +/- 0.036, N = 3 SE +/- 0.028, N = 3 SE +/- 0.047, N = 3 SE +/- 0.018, N = 3 SE +/- 0.017, N = 3 SE +/- 0.022, N = 3 SE +/- 0.027, N = 3 SE +/- 0.012, N = 3 SE +/- 0.022, N = 3 SE +/- 0.036, N = 3 SE +/- 0.023, N = 3 SE +/- 0.020, N = 3 SE +/- 0.027, N = 3 SE +/- 0.027, N = 3 9.480 8.957 9.016 10.508 10.582 10.512 10.506 10.280 10.607 10.407 10.430 10.352 10.352 11.105 10.508 10.855 11.013 10.193 10.904 10.909
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Bork File Encrypter 1.4 File Encryption Time EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 Min: 9.44 / Avg: 9.48 / Max: 9.53 Min: 8.93 / Avg: 8.96 / Max: 8.98 Min: 8.97 / Avg: 9.02 / Max: 9.1 Min: 10.49 / Avg: 10.51 / Max: 10.53 Min: 10.54 / Avg: 10.58 / Max: 10.62 Min: 10.5 / Avg: 10.51 / Max: 10.53 Min: 10.44 / Avg: 10.51 / Max: 10.57 Min: 10.24 / Avg: 10.28 / Max: 10.33 Min: 10.52 / Avg: 10.61 / Max: 10.67 Min: 10.38 / Avg: 10.41 / Max: 10.44 Min: 10.4 / Avg: 10.43 / Max: 10.45 Min: 10.31 / Avg: 10.35 / Max: 10.38 Min: 10.3 / Avg: 10.35 / Max: 10.38 Min: 11.08 / Avg: 11.11 / Max: 11.12 Min: 10.47 / Avg: 10.51 / Max: 10.55 Min: 10.78 / Avg: 10.86 / Max: 10.9 Min: 10.97 / Avg: 11.01 / Max: 11.05 Min: 10.15 / Avg: 10.19 / Max: 10.22 Min: 10.85 / Avg: 10.9 / Max: 10.93 Min: 10.86 / Avg: 10.91 / Max: 10.95
TSCP This is a performance test of TSCP, Tom Kerrigan's Simple Chess Program, which has a built-in performance benchmark. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Nodes Per Second, More Is Better TSCP 1.81 AI Chess Performance EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 300K 600K 900K 1200K 1500K SE +/- 551.87, N = 5 SE +/- 1687.74, N = 5 SE +/- 3053.58, N = 5 SE +/- 893.15, N = 5 SE +/- 567.47, N = 5 SE +/- 712.78, N = 5 SE +/- 913.57, N = 5 SE +/- 968.31, N = 5 SE +/- 910.04, N = 5 SE +/- 823.10, N = 5 SE +/- 936.97, N = 5 SE +/- 736.20, N = 5 SE +/- 903.80, N = 5 SE +/- 1494.44, N = 5 SE +/- 567.47, N = 5 SE +/- 673.05, N = 5 SE +/- 1633.10, N = 5 SE +/- 1036.47, N = 5 SE +/- 1769.79, N = 5 SE +/- 1232.94, N = 5 1114034 1170383 1163483 1002876 994185 991322 993111 1022993 991681 1006909 1005806 1005805 1007278 944092 994185 962227 957219 1019963 950613 960888 1. (CC) gcc options: -O3 -march=native
Result Confidence
OpenBenchmarking.org Nodes Per Second, More Is Better TSCP 1.81 AI Chess Performance EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 200K 400K 600K 800K 1000K Min: 1112682 / Avg: 1114033.8 / Max: 1114935 Min: 1166902 / Avg: 1170383.2 / Max: 1174366 Min: 1152255 / Avg: 1163483.4 / Max: 1169380 Min: 999597 / Avg: 1002876 / Max: 1005069 Min: 992392 / Avg: 994185 / Max: 995981 Min: 988829 / Avg: 991322.4 / Max: 992392 Min: 990607 / Avg: 993111.2 / Max: 995981 Min: 1019959 / Avg: 1022993.4 / Max: 1025657 Min: 988829 / Avg: 991680.8 / Max: 994184 Min: 1005069 / Avg: 1006908.8 / Max: 1008750 Min: 1003238 / Avg: 1005806.4 / Max: 1008750 Min: 1005069 / Avg: 1005805.2 / Max: 1008750 Min: 1005069 / Avg: 1007277.6 / Max: 1010601 Min: 938293 / Avg: 944091.8 / Max: 946353 Min: 992392 / Avg: 994185 / Max: 995981 Min: 961218 / Avg: 962227.2 / Max: 964584 Min: 952903 / Avg: 957219.4 / Max: 962898 Min: 1018073 / Avg: 1019962.8 / Max: 1023750 Min: 946353 / Avg: 950613.2 / Max: 956211 Min: 957874 / Avg: 960888.4 / Max: 964584 1. (CC) gcc options: -O3 -march=native
dcraw This test times how long it takes to convert several high-resolution RAW NEF image files to PPM image format using dcraw. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better dcraw RAW To PPM Image Conversion EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 12 24 36 48 60 SE +/- 0.02, N = 3 SE +/- 0.09, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.21, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 SE +/- 0.11, N = 3 SE +/- 0.12, N = 3 SE +/- 0.04, N = 3 46.62 44.35 44.72 51.76 52.33 52.25 52.55 50.71 52.40 51.41 51.47 51.50 51.46 54.77 52.24 53.86 54.25 51.69 54.98 53.86 1. (CC) gcc options: -lm
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better dcraw RAW To PPM Image Conversion EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 11 22 33 44 55 Min: 46.59 / Avg: 46.62 / Max: 46.66 Min: 44.25 / Avg: 44.35 / Max: 44.54 Min: 44.68 / Avg: 44.72 / Max: 44.77 Min: 51.75 / Avg: 51.76 / Max: 51.79 Min: 52.31 / Avg: 52.33 / Max: 52.37 Min: 52.18 / Avg: 52.25 / Max: 52.33 Min: 52.24 / Avg: 52.55 / Max: 52.95 Min: 50.68 / Avg: 50.71 / Max: 50.77 Min: 52.36 / Avg: 52.4 / Max: 52.45 Min: 51.4 / Avg: 51.41 / Max: 51.41 Min: 51.42 / Avg: 51.47 / Max: 51.52 Min: 51.37 / Avg: 51.49 / Max: 51.57 Min: 51.42 / Avg: 51.46 / Max: 51.5 Min: 54.75 / Avg: 54.77 / Max: 54.79 Min: 52.14 / Avg: 52.24 / Max: 52.38 Min: 53.76 / Avg: 53.86 / Max: 53.91 Min: 54.1 / Avg: 54.25 / Max: 54.35 Min: 51.52 / Avg: 51.69 / Max: 51.89 Min: 54.79 / Avg: 54.98 / Max: 55.21 Min: 53.81 / Avg: 53.86 / Max: 53.94 1. (CC) gcc options: -lm
PHPBench PHPBench is a benchmark suite for PHP. It performs a large number of simple tests in order to bench various aspects of the PHP interpreter. PHPBench can be used to compare hardware, operating systems, PHP versions, PHP accelerators and caches, compiler options, etc. The number of iterations used is 1,000,000. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Score, More Is Better PHPBench 0.8.1 PHP Benchmark Suite EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 130K 260K 390K 520K 650K SE +/- 837.97, N = 3 SE +/- 2359.01, N = 3 SE +/- 2981.62, N = 3 SE +/- 2165.69, N = 3 SE +/- 2747.06, N = 3 SE +/- 507.16, N = 3 SE +/- 2275.05, N = 3 SE +/- 2113.07, N = 3 SE +/- 2362.58, N = 3 SE +/- 1200.01, N = 3 SE +/- 1399.56, N = 3 SE +/- 2635.10, N = 3 SE +/- 583.02, N = 3 SE +/- 1155.08, N = 3 SE +/- 1526.06, N = 3 SE +/- 2863.87, N = 3 SE +/- 3427.90, N = 3 SE +/- 2718.70, N = 3 SE +/- 3277.70, N = 3 SE +/- 351.72, N = 3 571873 600343 598080 514218 504339 506221 507020 520135 504716 515021 513979 513016 514044 484301 506275 493191 490002 522810 488026 492401
Result Confidence
OpenBenchmarking.org Score, More Is Better PHPBench 0.8.1 PHP Benchmark Suite EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 100K 200K 300K 400K 500K Min: 570368 / Avg: 571873.33 / Max: 573264 Min: 596626 / Avg: 600343 / Max: 604718 Min: 592630 / Avg: 598080 / Max: 602901 Min: 510015 / Avg: 514218 / Max: 517226 Min: 499465 / Avg: 504338.67 / Max: 508972 Min: 505464 / Avg: 506220.67 / Max: 507184 Min: 503077 / Avg: 507020.33 / Max: 510958 Min: 517027 / Avg: 520135 / Max: 524169 Min: 500994 / Avg: 504716 / Max: 509098 Min: 512649 / Avg: 515020.67 / Max: 516525 Min: 511256 / Avg: 513979 / Max: 515902 Min: 510116 / Avg: 513016 / Max: 518277 Min: 513379 / Avg: 514044 / Max: 515206 Min: 482002 / Avg: 484301 / Max: 485647 Min: 503297 / Avg: 506275 / Max: 508343 Min: 488411 / Avg: 493191.33 / Max: 498314 Min: 486082 / Avg: 490002 / Max: 496833 Min: 517673 / Avg: 522810 / Max: 526922 Min: 481927 / Avg: 488025.67 / Max: 493157 Min: 492038 / Avg: 492400.67 / Max: 493104
WebP Image Encode This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100, Highest Compression EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 SE +/- 0.007, N = 3 SE +/- 0.003, N = 3 SE +/- 0.003, N = 3 SE +/- 0.008, N = 3 SE +/- 0.024, N = 3 SE +/- 0.010, N = 3 SE +/- 0.003, N = 3 SE +/- 0.013, N = 3 SE +/- 0.005, N = 3 SE +/- 0.007, N = 3 SE +/- 0.003, N = 3 SE +/- 0.042, N = 3 SE +/- 0.004, N = 3 SE +/- 0.002, N = 3 SE +/- 0.004, N = 3 SE +/- 0.003, N = 3 SE +/- 0.017, N = 3 SE +/- 0.009, N = 3 SE +/- 0.008, N = 3 SE +/- 0.003, N = 3 8.856 8.087 8.124 9.446 9.556 9.550 9.543 9.266 9.564 9.400 9.396 9.436 9.404 10.024 9.528 9.832 9.887 9.260 9.907 9.836 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
Result Confidence
OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100, Highest Compression EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 Min: 8.84 / Avg: 8.86 / Max: 8.87 Min: 8.08 / Avg: 8.09 / Max: 8.09 Min: 8.12 / Avg: 8.12 / Max: 8.13 Min: 9.43 / Avg: 9.45 / Max: 9.46 Min: 9.53 / Avg: 9.56 / Max: 9.6 Min: 9.54 / Avg: 9.55 / Max: 9.57 Min: 9.54 / Avg: 9.54 / Max: 9.55 Min: 9.25 / Avg: 9.27 / Max: 9.29 Min: 9.56 / Avg: 9.56 / Max: 9.57 Min: 9.39 / Avg: 9.4 / Max: 9.41 Min: 9.39 / Avg: 9.4 / Max: 9.4 Min: 9.39 / Avg: 9.44 / Max: 9.52 Min: 9.4 / Avg: 9.4 / Max: 9.41 Min: 10.02 / Avg: 10.02 / Max: 10.03 Min: 9.52 / Avg: 9.53 / Max: 9.53 Min: 9.83 / Avg: 9.83 / Max: 9.84 Min: 9.86 / Avg: 9.89 / Max: 9.92 Min: 9.24 / Avg: 9.26 / Max: 9.27 Min: 9.9 / Avg: 9.91 / Max: 9.92 Min: 9.83 / Avg: 9.84 / Max: 9.84 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
LuaJIT This test profile is a collection of Lua scripts/benchmarks run against a locally-built copy of LuaJIT upstream. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Mflops, More Is Better LuaJIT 2.1-git Test: Jacobi Successive Over-Relaxation EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 400 800 1200 1600 2000 SE +/- 0.08, N = 3 SE +/- 0.26, N = 3 SE +/- 5.43, N = 3 SE +/- 0.11, N = 3 SE +/- 0.41, N = 3 SE +/- 0.32, N = 3 SE +/- 6.62, N = 3 SE +/- 6.85, N = 3 SE +/- 1.70, N = 3 SE +/- 0.36, N = 3 SE +/- 6.10, N = 3 SE +/- 6.19, N = 3 SE +/- 4.45, N = 3 SE +/- 0.36, N = 3 SE +/- 0.24, N = 3 SE +/- 0.05, N = 3 SE +/- 4.29, N = 3 SE +/- 0.15, N = 3 SE +/- 0.27, N = 3 SE +/- 4.99, N = 3 1793.82 1891.08 1882.96 1618.82 1600.43 1599.97 1593.45 1642.14 1585.16 1624.46 1618.31 1617.94 1620.27 1526.07 1600.37 1551.93 1545.62 1649.03 1549.85 1543.18 1. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector
Result Confidence
OpenBenchmarking.org Mflops, More Is Better LuaJIT 2.1-git Test: Jacobi Successive Over-Relaxation EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 300 600 900 1200 1500 Min: 1793.71 / Avg: 1793.82 / Max: 1793.98 Min: 1890.57 / Avg: 1891.08 / Max: 1891.43 Min: 1872.09 / Avg: 1882.96 / Max: 1888.44 Min: 1618.68 / Avg: 1618.82 / Max: 1619.05 Min: 1599.65 / Avg: 1600.43 / Max: 1601.06 Min: 1599.53 / Avg: 1599.97 / Max: 1600.6 Min: 1580.23 / Avg: 1593.45 / Max: 1600.52 Min: 1628.44 / Avg: 1642.14 / Max: 1649.35 Min: 1581.93 / Avg: 1585.16 / Max: 1587.68 Min: 1624.07 / Avg: 1624.46 / Max: 1625.17 Min: 1606.12 / Avg: 1618.31 / Max: 1624.72 Min: 1605.58 / Avg: 1617.94 / Max: 1624.6 Min: 1611.36 / Avg: 1620.27 / Max: 1624.8 Min: 1525.45 / Avg: 1526.07 / Max: 1526.7 Min: 1599.9 / Avg: 1600.37 / Max: 1600.64 Min: 1551.82 / Avg: 1551.93 / Max: 1551.98 Min: 1537.08 / Avg: 1545.62 / Max: 1550.66 Min: 1648.87 / Avg: 1649.03 / Max: 1649.33 Min: 1549.49 / Avg: 1549.85 / Max: 1550.38 Min: 1533.19 / Avg: 1543.18 / Max: 1548.29 1. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector
GEGL GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Color Enhance EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 16 32 48 64 80 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 SE +/- 0.19, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.10, N = 3 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 SE +/- 0.07, N = 3 59.77 56.33 56.46 65.80 66.49 67.09 66.71 64.48 67.11 65.48 65.51 65.78 65.33 69.79 66.30 68.20 68.52 64.87 68.80 68.88
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Color Enhance EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 14 28 42 56 70 Min: 59.7 / Avg: 59.77 / Max: 59.84 Min: 56.32 / Avg: 56.33 / Max: 56.35 Min: 56.43 / Avg: 56.46 / Max: 56.49 Min: 65.66 / Avg: 65.8 / Max: 65.9 Min: 66.43 / Avg: 66.49 / Max: 66.53 Min: 66.86 / Avg: 67.09 / Max: 67.47 Min: 66.65 / Avg: 66.71 / Max: 66.78 Min: 64.41 / Avg: 64.48 / Max: 64.54 Min: 67.01 / Avg: 67.11 / Max: 67.19 Min: 65.43 / Avg: 65.48 / Max: 65.55 Min: 65.45 / Avg: 65.51 / Max: 65.56 Min: 65.72 / Avg: 65.78 / Max: 65.82 Min: 65.24 / Avg: 65.33 / Max: 65.41 Min: 69.68 / Avg: 69.79 / Max: 69.87 Min: 66.23 / Avg: 66.29 / Max: 66.39 Min: 68.15 / Avg: 68.2 / Max: 68.25 Min: 68.35 / Avg: 68.52 / Max: 68.69 Min: 64.76 / Avg: 64.87 / Max: 64.93 Min: 68.7 / Avg: 68.8 / Max: 68.93 Min: 68.76 / Avg: 68.88 / Max: 68.99
Polyhedron Fortran Benchmarks The Fortran.uk Polyhedron Fortran Benchmarks for comparing Fortran compiler performance. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Polyhedron Fortran Benchmarks Benchmark: ac EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 2 4 6 8 10 6.80 6.45 6.46 7.53 7.63 7.62 7.62 7.40 7.63 7.50 7.53 7.51 7.51 7.99 7.63 7.88 7.86 7.41 7.87 7.87
AOBench AOBench is a lightweight ambient occlusion renderer, written in C. The test profile is using a size of 2048 x 2048. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better AOBench Size: 2048 x 2048 - Total Time EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 9 18 27 36 45 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.04, N = 3 SE +/- 0.00, N = 3 35.14 33.31 33.46 38.89 39.40 39.32 39.33 38.22 39.45 38.71 38.75 38.79 38.75 41.26 39.28 40.57 40.77 38.51 40.89 40.54 1. (CC) gcc options: -lm -O3
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better AOBench Size: 2048 x 2048 - Total Time EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 9 18 27 36 45 Min: 35.08 / Avg: 35.14 / Max: 35.26 Min: 33.26 / Avg: 33.31 / Max: 33.35 Min: 33.44 / Avg: 33.46 / Max: 33.5 Min: 38.87 / Avg: 38.89 / Max: 38.91 Min: 39.32 / Avg: 39.4 / Max: 39.48 Min: 39.3 / Avg: 39.32 / Max: 39.32 Min: 39.32 / Avg: 39.33 / Max: 39.34 Min: 38.17 / Avg: 38.22 / Max: 38.31 Min: 39.43 / Avg: 39.45 / Max: 39.47 Min: 38.7 / Avg: 38.71 / Max: 38.72 Min: 38.71 / Avg: 38.75 / Max: 38.77 Min: 38.75 / Avg: 38.79 / Max: 38.86 Min: 38.73 / Avg: 38.75 / Max: 38.75 Min: 41.23 / Avg: 41.26 / Max: 41.28 Min: 39.27 / Avg: 39.28 / Max: 39.31 Min: 40.54 / Avg: 40.57 / Max: 40.6 Min: 40.76 / Avg: 40.77 / Max: 40.79 Min: 38.5 / Avg: 38.51 / Max: 38.52 Min: 40.84 / Avg: 40.89 / Max: 40.96 Min: 40.53 / Avg: 40.54 / Max: 40.55 1. (CC) gcc options: -lm -O3
SciMark This test runs the ANSI C version of SciMark 2.0, which is a benchmark for scientific and numerical computing developed by programmers at the National Institute of Standards and Technology. This test is made up of Fast Foruier Transform, Jacobi Successive Over-relaxation, Monte Carlo, Sparse Matrix Multiply, and dense LU matrix factorization benchmarks. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Mflops, More Is Better SciMark 2.0 Computational Test: Jacobi Successive Over-Relaxation EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 300 600 900 1200 1500 SE +/- 0.16, N = 3 SE +/- 0.25, N = 3 SE +/- 0.09, N = 3 SE +/- 0.15, N = 3 SE +/- 0.07, N = 3 SE +/- 0.06, N = 3 SE +/- 0.29, N = 3 SE +/- 0.26, N = 3 SE +/- 0.59, N = 3 SE +/- 0.14, N = 3 SE +/- 0.15, N = 3 SE +/- 0.22, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 SE +/- 0.23, N = 3 SE +/- 0.20, N = 3 SE +/- 0.37, N = 3 SE +/- 0.03, N = 3 SE +/- 0.22, N = 3 SE +/- 0.14, N = 3 1103.94 1164.22 1159.53 996.68 985.70 985.06 985.33 1015.11 982.88 999.56 1000.06 1000.18 999.52 939.99 984.81 954.77 950.84 1014.89 951.01 954.57 1. (CC) gcc options: -lm
Result Confidence
OpenBenchmarking.org Mflops, More Is Better SciMark 2.0 Computational Test: Jacobi Successive Over-Relaxation EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 200 400 600 800 1000 Min: 1103.64 / Avg: 1103.94 / Max: 1104.19 Min: 1163.84 / Avg: 1164.22 / Max: 1164.7 Min: 1159.36 / Avg: 1159.53 / Max: 1159.67 Min: 996.53 / Avg: 996.68 / Max: 996.97 Min: 985.56 / Avg: 985.7 / Max: 985.81 Min: 984.94 / Avg: 985.06 / Max: 985.16 Min: 984.87 / Avg: 985.33 / Max: 985.87 Min: 1014.63 / Avg: 1015.11 / Max: 1015.51 Min: 982.03 / Avg: 982.88 / Max: 984.01 Min: 999.32 / Avg: 999.56 / Max: 999.82 Min: 999.79 / Avg: 1000.06 / Max: 1000.31 Min: 999.84 / Avg: 1000.18 / Max: 1000.6 Min: 999.42 / Avg: 999.52 / Max: 999.62 Min: 939.93 / Avg: 939.99 / Max: 940.08 Min: 984.35 / Avg: 984.81 / Max: 985.07 Min: 954.47 / Avg: 954.77 / Max: 955.16 Min: 950.42 / Avg: 950.84 / Max: 951.59 Min: 1014.84 / Avg: 1014.89 / Max: 1014.94 Min: 950.79 / Avg: 951.01 / Max: 951.45 Min: 954.32 / Avg: 954.57 / Max: 954.81 1. (CC) gcc options: -lm
Bullet Physics Engine This is a benchmark of the Bullet Physics Engine. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Bullet Physics Engine 2.81 Test: Prim Trimesh EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 0.2477 0.4954 0.7431 0.9908 1.2385 SE +/- 0.000997, N = 3 SE +/- 0.000474, N = 3 SE +/- 0.002476, N = 3 SE +/- 0.000715, N = 3 SE +/- 0.000882, N = 3 SE +/- 0.000753, N = 3 SE +/- 0.000932, N = 3 SE +/- 0.000354, N = 3 SE +/- 0.001981, N = 3 SE +/- 0.001534, N = 3 SE +/- 0.000668, N = 3 SE +/- 0.001174, N = 3 SE +/- 0.000791, N = 3 SE +/- 0.001080, N = 3 SE +/- 0.001091, N = 3 SE +/- 0.001415, N = 3 SE +/- 0.001552, N = 3 SE +/- 0.004000, N = 3 SE +/- 0.003821, N = 3 SE +/- 0.001672, N = 3 0.942317 0.888915 0.894938 1.036920 1.052042 1.048453 1.049650 1.015980 1.056087 1.051038 1.033955 1.033427 1.035080 1.100758 1.048465 1.082283 1.087148 1.025110 1.100890 1.098203 1. (CXX) g++ options: -O3 -rdynamic -lglut -lGL -lGLU
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Bullet Physics Engine 2.81 Test: Prim Trimesh EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 2 4 6 8 10 Min: 0.94 / Avg: 0.94 / Max: 0.94 Min: 0.89 / Avg: 0.89 / Max: 0.89 Min: 0.89 / Avg: 0.89 / Max: 0.9 Min: 1.04 / Avg: 1.04 / Max: 1.04 Min: 1.05 / Avg: 1.05 / Max: 1.05 Min: 1.05 / Avg: 1.05 / Max: 1.05 Min: 1.05 / Avg: 1.05 / Max: 1.05 Min: 1.02 / Avg: 1.02 / Max: 1.02 Min: 1.05 / Avg: 1.06 / Max: 1.06 Min: 1.05 / Avg: 1.05 / Max: 1.05 Min: 1.03 / Avg: 1.03 / Max: 1.03 Min: 1.03 / Avg: 1.03 / Max: 1.04 Min: 1.03 / Avg: 1.04 / Max: 1.04 Min: 1.1 / Avg: 1.1 / Max: 1.1 Min: 1.05 / Avg: 1.05 / Max: 1.05 Min: 1.08 / Avg: 1.08 / Max: 1.09 Min: 1.08 / Avg: 1.09 / Max: 1.09 Min: 1.02 / Avg: 1.03 / Max: 1.03 Min: 1.09 / Avg: 1.1 / Max: 1.11 Min: 1.1 / Avg: 1.1 / Max: 1.1 1. (CXX) g++ options: -O3 -rdynamic -lglut -lGL -lGLU
Botan Botan is a cross-platform open-source C++ crypto library that supports most all publicly known cryptographic algorithms. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org MiB/s, More Is Better Botan 2.13.0 Test: Twofish EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 80 160 240 320 400 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 SE +/- 0.20, N = 3 SE +/- 0.14, N = 3 SE +/- 0.05, N = 3 SE +/- 0.09, N = 3 SE +/- 0.11, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.20, N = 3 SE +/- 0.08, N = 3 SE +/- 0.05, N = 3 SE +/- 0.15, N = 3 SE +/- 0.15, N = 3 SE +/- 0.06, N = 3 SE +/- 0.28, N = 3 SE +/- 0.07, N = 3 SE +/- 0.14, N = 3 SE +/- 0.08, N = 3 333.87 351.65 349.06 301.30 297.96 297.79 298.00 306.83 297.88 302.38 302.26 302.33 302.31 283.96 297.66 288.71 286.58 306.78 285.66 288.79 1. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
Result Confidence
OpenBenchmarking.org MiB/s, More Is Better Botan 2.13.0 Test: Twofish EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 60 120 180 240 300 Min: 333.76 / Avg: 333.87 / Max: 333.94 Min: 351.48 / Avg: 351.65 / Max: 351.75 Min: 348.75 / Avg: 349.06 / Max: 349.44 Min: 301.1 / Avg: 301.3 / Max: 301.58 Min: 297.9 / Avg: 297.96 / Max: 298.06 Min: 297.63 / Avg: 297.78 / Max: 297.96 Min: 297.78 / Avg: 298 / Max: 298.16 Min: 306.75 / Avg: 306.83 / Max: 306.95 Min: 297.79 / Avg: 297.88 / Max: 297.94 Min: 302.31 / Avg: 302.37 / Max: 302.42 Min: 301.89 / Avg: 302.26 / Max: 302.56 Min: 302.17 / Avg: 302.33 / Max: 302.45 Min: 302.23 / Avg: 302.31 / Max: 302.38 Min: 283.71 / Avg: 283.96 / Max: 284.24 Min: 297.46 / Avg: 297.66 / Max: 297.95 Min: 288.64 / Avg: 288.71 / Max: 288.82 Min: 286.21 / Avg: 286.58 / Max: 287.13 Min: 306.68 / Avg: 306.78 / Max: 306.92 Min: 285.41 / Avg: 285.66 / Max: 285.91 Min: 288.69 / Avg: 288.79 / Max: 288.94 1. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
RNNoise RNNoise is a recurrent neural network for audio noise reduction developed by Mozilla and Xiph.Org. This test profile is a single-threaded test measuring the time to denoise a sample 26 minute long 16-bit RAW audio file using this recurrent neural network noise suppression library. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better RNNoise 2020-06-28 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 6 12 18 24 30 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 21.17 20.05 20.13 23.39 23.68 23.65 23.67 22.96 23.74 23.31 23.31 23.35 23.29 24.83 23.63 24.39 24.56 23.21 24.62 24.40 1. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better RNNoise 2020-06-28 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 6 12 18 24 30 Min: 21.15 / Avg: 21.17 / Max: 21.18 Min: 20.04 / Avg: 20.05 / Max: 20.08 Min: 20.1 / Avg: 20.13 / Max: 20.16 Min: 23.37 / Avg: 23.39 / Max: 23.44 Min: 23.65 / Avg: 23.68 / Max: 23.73 Min: 23.61 / Avg: 23.64 / Max: 23.67 Min: 23.66 / Avg: 23.67 / Max: 23.68 Min: 22.94 / Avg: 22.96 / Max: 22.97 Min: 23.71 / Avg: 23.74 / Max: 23.79 Min: 23.29 / Avg: 23.31 / Max: 23.33 Min: 23.28 / Avg: 23.31 / Max: 23.36 Min: 23.32 / Avg: 23.35 / Max: 23.4 Min: 23.29 / Avg: 23.29 / Max: 23.29 Min: 24.78 / Avg: 24.83 / Max: 24.86 Min: 23.61 / Avg: 23.63 / Max: 23.66 Min: 24.38 / Avg: 24.39 / Max: 24.41 Min: 24.49 / Avg: 24.56 / Max: 24.62 Min: 23.17 / Avg: 23.21 / Max: 23.23 Min: 24.55 / Avg: 24.62 / Max: 24.66 Min: 24.38 / Avg: 24.4 / Max: 24.42 1. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
SciMark This test runs the ANSI C version of SciMark 2.0, which is a benchmark for scientific and numerical computing developed by programmers at the National Institute of Standards and Technology. This test is made up of Fast Foruier Transform, Jacobi Successive Over-relaxation, Monte Carlo, Sparse Matrix Multiply, and dense LU matrix factorization benchmarks. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Mflops, More Is Better SciMark 2.0 Computational Test: Monte Carlo EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 30 60 90 120 150 SE +/- 0.45, N = 3 SE +/- 0.17, N = 3 SE +/- 0.07, N = 3 SE +/- 0.22, N = 3 SE +/- 0.10, N = 3 SE +/- 0.05, N = 3 SE +/- 0.09, N = 3 SE +/- 0.10, N = 3 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 SE +/- 0.06, N = 3 SE +/- 1.35, N = 3 SE +/- 0.04, N = 3 SE +/- 0.11, N = 3 SE +/- 0.03, N = 3 SE +/- 0.29, N = 3 SE +/- 0.27, N = 3 SE +/- 0.12, N = 3 SE +/- 0.02, N = 3 SE +/- 0.38, N = 3 132.58 140.00 139.28 119.74 118.48 118.56 118.56 122.15 118.68 120.37 120.37 119.05 120.41 113.09 118.58 114.51 114.54 121.97 114.21 114.61 1. (CC) gcc options: -lm
Result Confidence
OpenBenchmarking.org Mflops, More Is Better SciMark 2.0 Computational Test: Monte Carlo EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 30 60 90 120 150 Min: 131.67 / Avg: 132.58 / Max: 133.04 Min: 139.68 / Avg: 140 / Max: 140.23 Min: 139.18 / Avg: 139.28 / Max: 139.41 Min: 119.29 / Avg: 119.74 / Max: 119.98 Min: 118.28 / Avg: 118.48 / Max: 118.61 Min: 118.51 / Avg: 118.56 / Max: 118.65 Min: 118.38 / Avg: 118.56 / Max: 118.67 Min: 121.94 / Avg: 122.15 / Max: 122.26 Min: 118.58 / Avg: 118.68 / Max: 118.75 Min: 120.22 / Avg: 120.37 / Max: 120.47 Min: 120.25 / Avg: 120.37 / Max: 120.43 Min: 116.35 / Avg: 119.05 / Max: 120.42 Min: 120.36 / Avg: 120.41 / Max: 120.48 Min: 112.87 / Avg: 113.09 / Max: 113.22 Min: 118.52 / Avg: 118.58 / Max: 118.62 Min: 113.96 / Avg: 114.51 / Max: 114.92 Min: 114.16 / Avg: 114.54 / Max: 115.07 Min: 121.74 / Avg: 121.97 / Max: 122.15 Min: 114.18 / Avg: 114.21 / Max: 114.23 Min: 113.86 / Avg: 114.61 / Max: 115.03 1. (CC) gcc options: -lm
LuaJIT This test profile is a collection of Lua scripts/benchmarks run against a locally-built copy of LuaJIT upstream. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Mflops, More Is Better LuaJIT 2.1-git Test: Monte Carlo EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 100 200 300 400 500 SE +/- 0.17, N = 3 SE +/- 0.62, N = 3 SE +/- 0.18, N = 3 SE +/- 0.14, N = 3 SE +/- 0.77, N = 3 SE +/- 0.03, N = 3 SE +/- 1.09, N = 3 SE +/- 0.69, N = 3 SE +/- 0.16, N = 3 SE +/- 0.09, N = 3 SE +/- 0.56, N = 3 SE +/- 1.02, N = 3 SE +/- 1.04, N = 3 SE +/- 0.10, N = 3 SE +/- 0.17, N = 3 SE +/- 0.06, N = 3 SE +/- 0.68, N = 3 SE +/- 0.09, N = 3 SE +/- 0.49, N = 3 SE +/- 0.89, N = 3 448.29 472.22 471.25 404.44 400.21 400.05 400.85 412.61 401.44 405.99 406.62 407.11 407.18 381.50 399.98 387.79 386.81 412.22 386.77 388.80 1. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector
Result Confidence
OpenBenchmarking.org Mflops, More Is Better LuaJIT 2.1-git Test: Monte Carlo EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 80 160 240 320 400 Min: 447.96 / Avg: 448.29 / Max: 448.52 Min: 471 / Avg: 472.22 / Max: 472.99 Min: 470.9 / Avg: 471.25 / Max: 471.48 Min: 404.16 / Avg: 404.44 / Max: 404.59 Min: 399.12 / Avg: 400.21 / Max: 401.69 Min: 400 / Avg: 400.05 / Max: 400.1 Min: 399.66 / Avg: 400.85 / Max: 403.02 Min: 411.86 / Avg: 412.61 / Max: 413.98 Min: 401.15 / Avg: 401.44 / Max: 401.7 Min: 405.84 / Avg: 405.99 / Max: 406.14 Min: 405.99 / Avg: 406.62 / Max: 407.74 Min: 406.04 / Avg: 407.11 / Max: 409.16 Min: 406.1 / Avg: 407.18 / Max: 409.25 Min: 381.38 / Avg: 381.5 / Max: 381.69 Min: 399.65 / Avg: 399.98 / Max: 400.19 Min: 387.7 / Avg: 387.79 / Max: 387.9 Min: 386.05 / Avg: 386.81 / Max: 388.17 Min: 412.13 / Avg: 412.22 / Max: 412.39 Min: 386.19 / Avg: 386.77 / Max: 387.75 Min: 387.76 / Avg: 388.8 / Max: 390.57 1. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector
Botan Botan is a cross-platform open-source C++ crypto library that supports most all publicly known cryptographic algorithms. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org MiB/s, More Is Better Botan 2.13.0 Test: CAST-256 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 30 60 90 120 150 SE +/- 0.01, N = 3 SE +/- 0.13, N = 3 SE +/- 0.16, N = 3 SE +/- 0.20, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.07, N = 3 SE +/- 0.16, N = 3 SE +/- 0.02, N = 3 SE +/- 0.30, N = 3 SE +/- 0.06, N = 3 130.42 137.29 136.44 117.51 116.34 116.27 116.39 119.93 116.34 118.07 118.11 118.15 118.08 110.95 116.33 112.79 112.08 119.89 111.50 112.59 1. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
Result Confidence
OpenBenchmarking.org MiB/s, More Is Better Botan 2.13.0 Test: CAST-256 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 30 60 90 120 150 Min: 130.4 / Avg: 130.42 / Max: 130.44 Min: 137.03 / Avg: 137.29 / Max: 137.45 Min: 136.12 / Avg: 136.44 / Max: 136.6 Min: 117.11 / Avg: 117.51 / Max: 117.71 Min: 116.33 / Avg: 116.34 / Max: 116.36 Min: 116.21 / Avg: 116.27 / Max: 116.31 Min: 116.37 / Avg: 116.39 / Max: 116.42 Min: 119.91 / Avg: 119.93 / Max: 119.95 Min: 116.29 / Avg: 116.34 / Max: 116.37 Min: 118 / Avg: 118.07 / Max: 118.14 Min: 118.05 / Avg: 118.11 / Max: 118.2 Min: 118.1 / Avg: 118.15 / Max: 118.18 Min: 117.97 / Avg: 118.07 / Max: 118.15 Min: 110.9 / Avg: 110.95 / Max: 111.06 Min: 116.27 / Avg: 116.33 / Max: 116.42 Min: 112.66 / Avg: 112.79 / Max: 112.89 Min: 111.89 / Avg: 112.08 / Max: 112.39 Min: 119.86 / Avg: 119.89 / Max: 119.92 Min: 110.91 / Avg: 111.5 / Max: 111.87 Min: 112.52 / Avg: 112.59 / Max: 112.7 1. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
Dolfyn Dolfyn is a Computational Fluid Dynamics (CFD) code of modern numerical simulation techniques. The Dolfyn test profile measures the execution time of the bundled computational fluid dynamics demos that are bundled with Dolfyn. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Dolfyn 0.527 Computational Fluid Dynamics EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 5 10 15 20 25 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 18.61 17.73 17.83 20.72 20.79 20.78 20.79 20.19 20.84 20.49 20.52 20.59 20.52 21.91 20.87 21.45 21.68 20.20 21.93 21.63
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Dolfyn 0.527 Computational Fluid Dynamics EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 5 10 15 20 25 Min: 18.56 / Avg: 18.61 / Max: 18.64 Min: 17.69 / Avg: 17.73 / Max: 17.8 Min: 17.8 / Avg: 17.83 / Max: 17.88 Min: 20.66 / Avg: 20.72 / Max: 20.76 Min: 20.77 / Avg: 20.79 / Max: 20.81 Min: 20.76 / Avg: 20.78 / Max: 20.8 Min: 20.77 / Avg: 20.79 / Max: 20.82 Min: 20.15 / Avg: 20.19 / Max: 20.21 Min: 20.79 / Avg: 20.84 / Max: 20.91 Min: 20.45 / Avg: 20.49 / Max: 20.51 Min: 20.49 / Avg: 20.52 / Max: 20.54 Min: 20.53 / Avg: 20.59 / Max: 20.65 Min: 20.48 / Avg: 20.52 / Max: 20.58 Min: 21.79 / Avg: 21.91 / Max: 22.06 Min: 20.85 / Avg: 20.87 / Max: 20.9 Min: 21.44 / Avg: 21.45 / Max: 21.47 Min: 21.62 / Avg: 21.68 / Max: 21.74 Min: 20.18 / Avg: 20.2 / Max: 20.23 Min: 21.86 / Avg: 21.93 / Max: 22.06 Min: 21.61 / Avg: 21.63 / Max: 21.64
GEGL GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Reflect EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 9 18 27 36 45 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.08, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 32.58 30.81 30.84 36.04 36.35 36.72 36.55 35.30 36.76 35.87 35.88 36.08 35.73 38.10 36.21 37.25 37.34 35.36 37.57 37.26
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Reflect EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 8 16 24 32 40 Min: 32.58 / Avg: 32.58 / Max: 32.59 Min: 30.77 / Avg: 30.81 / Max: 30.87 Min: 30.81 / Avg: 30.84 / Max: 30.86 Min: 35.94 / Avg: 36.04 / Max: 36.21 Min: 36.31 / Avg: 36.35 / Max: 36.39 Min: 36.67 / Avg: 36.72 / Max: 36.78 Min: 36.5 / Avg: 36.55 / Max: 36.58 Min: 35.24 / Avg: 35.3 / Max: 35.4 Min: 36.7 / Avg: 36.76 / Max: 36.82 Min: 35.87 / Avg: 35.87 / Max: 35.88 Min: 35.84 / Avg: 35.88 / Max: 35.91 Min: 36.04 / Avg: 36.08 / Max: 36.11 Min: 35.7 / Avg: 35.73 / Max: 35.77 Min: 38.01 / Avg: 38.1 / Max: 38.19 Min: 36.18 / Avg: 36.21 / Max: 36.23 Min: 37.19 / Avg: 37.25 / Max: 37.29 Min: 37.23 / Avg: 37.34 / Max: 37.4 Min: 35.24 / Avg: 35.36 / Max: 35.49 Min: 37.54 / Avg: 37.57 / Max: 37.63 Min: 37.17 / Avg: 37.26 / Max: 37.37
PostgreSQL pgbench This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 1 - Mode: Read Write EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 700 1400 2100 2800 3500 SE +/- 44.73, N = 3 SE +/- 12.55, N = 3 SE +/- 5.57, N = 3 SE +/- 19.93, N = 3 SE +/- 18.09, N = 3 SE +/- 16.57, N = 3 SE +/- 31.43, N = 3 SE +/- 22.48, N = 3 SE +/- 38.78, N = 3 SE +/- 36.68, N = 3 SE +/- 16.12, N = 3 SE +/- 36.94, N = 3 SE +/- 3.04, N = 3 SE +/- 20.43, N = 3 SE +/- 17.23, N = 3 SE +/- 9.25, N = 3 SE +/- 41.46, N = 3 SE +/- 11.58, N = 3 SE +/- 11.61, N = 3 SE +/- 36.77, N = 3 3262 3025 3060 3118 2993 3037 3089 3136 2870 3086 3064 3007 3017 2958 2821 3010 2959 2666 2638 2706 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result Confidence
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 1 - Mode: Read Write EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 600 1200 1800 2400 3000 Min: 3176.93 / Avg: 3261.79 / Max: 3328.76 Min: 3001.96 / Avg: 3025.16 / Max: 3045.07 Min: 3050.34 / Avg: 3060.33 / Max: 3069.58 Min: 3081.23 / Avg: 3117.96 / Max: 3149.71 Min: 2957.29 / Avg: 2992.6 / Max: 3017.08 Min: 3005.01 / Avg: 3037.11 / Max: 3060.32 Min: 3030.41 / Avg: 3088.86 / Max: 3138.1 Min: 3091.94 / Avg: 3135.97 / Max: 3165.84 Min: 2816.65 / Avg: 2869.87 / Max: 2945.34 Min: 3012.63 / Avg: 3085.97 / Max: 3124.23 Min: 3033.37 / Avg: 3063.79 / Max: 3088.28 Min: 2961.68 / Avg: 3007.13 / Max: 3080.29 Min: 3013.25 / Avg: 3017.3 / Max: 3023.25 Min: 2927.75 / Avg: 2958.16 / Max: 2996.99 Min: 2797.47 / Avg: 2821.48 / Max: 2854.9 Min: 2992.58 / Avg: 3010.35 / Max: 3023.7 Min: 2880.76 / Avg: 2959.07 / Max: 3021.81 Min: 2642.62 / Avg: 2665.73 / Max: 2678.58 Min: 2624.07 / Avg: 2637.91 / Max: 2660.98 Min: 2653.24 / Avg: 2706.36 / Max: 2776.95 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
TNN TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better TNN 0.2.3 Target: CPU - Model: SqueezeNet v1.1 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 70 140 210 280 350 SE +/- 0.20, N = 3 SE +/- 0.20, N = 3 SE +/- 0.09, N = 3 SE +/- 0.11, N = 3 SE +/- 0.03, N = 3 SE +/- 0.12, N = 3 SE +/- 0.05, N = 3 SE +/- 0.18, N = 3 SE +/- 0.09, N = 3 SE +/- 0.08, N = 3 SE +/- 0.17, N = 3 SE +/- 0.14, N = 3 SE +/- 0.14, N = 3 SE +/- 0.46, N = 3 SE +/- 0.29, N = 3 SE +/- 0.05, N = 3 SE +/- 0.13, N = 3 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 SE +/- 0.16, N = 3 276.20 261.64 262.37 304.61 308.03 309.42 307.88 299.07 308.21 303.53 304.54 303.50 303.36 323.49 309.77 317.09 319.16 302.08 319.57 319.96 1. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better TNN 0.2.3 Target: CPU - Model: SqueezeNet v1.1 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 60 120 180 240 300 Min: 275.8 / Avg: 276.2 / Max: 276.46 Min: 261.36 / Avg: 261.64 / Max: 262.03 Min: 262.2 / Avg: 262.37 / Max: 262.49 Min: 304.4 / Avg: 304.61 / Max: 304.79 Min: 307.98 / Avg: 308.03 / Max: 308.08 Min: 309.2 / Avg: 309.42 / Max: 309.6 Min: 307.77 / Avg: 307.88 / Max: 307.95 Min: 298.75 / Avg: 299.07 / Max: 299.36 Min: 308.08 / Avg: 308.21 / Max: 308.37 Min: 303.41 / Avg: 303.53 / Max: 303.69 Min: 304.21 / Avg: 304.53 / Max: 304.8 Min: 303.26 / Avg: 303.5 / Max: 303.75 Min: 303.21 / Avg: 303.36 / Max: 303.64 Min: 322.66 / Avg: 323.49 / Max: 324.24 Min: 309.24 / Avg: 309.77 / Max: 310.24 Min: 317.03 / Avg: 317.09 / Max: 317.19 Min: 318.9 / Avg: 319.16 / Max: 319.3 Min: 301.98 / Avg: 302.08 / Max: 302.14 Min: 319.47 / Avg: 319.57 / Max: 319.68 Min: 319.64 / Avg: 319.96 / Max: 320.15 1. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
Gzip Compression This test measures the time needed to archive/compress two copies of the Linux 4.13 kernel source tree using Gzip compression. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Gzip Compression Linux Source Tree Archiving To .tar.gz EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 11 22 33 44 55 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.43, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.30, N = 3 SE +/- 0.09, N = 3 SE +/- 0.21, N = 3 SE +/- 0.02, N = 3 SE +/- 0.14, N = 3 SE +/- 0.10, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.19, N = 3 SE +/- 0.24, N = 3 SE +/- 0.00, N = 3 SE +/- 0.07, N = 3 40.71 38.80 39.10 45.01 45.93 45.56 45.45 44.14 46.11 44.94 45.11 44.84 44.95 47.97 45.62 46.98 47.41 45.08 47.42 47.30
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Gzip Compression Linux Source Tree Archiving To .tar.gz EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 10 20 30 40 50 Min: 40.65 / Avg: 40.71 / Max: 40.77 Min: 38.78 / Avg: 38.8 / Max: 38.81 Min: 39.01 / Avg: 39.1 / Max: 39.15 Min: 44.96 / Avg: 45.01 / Max: 45.06 Min: 45.48 / Avg: 45.93 / Max: 46.79 Min: 45.47 / Avg: 45.56 / Max: 45.61 Min: 45.42 / Avg: 45.45 / Max: 45.48 Min: 44.09 / Avg: 44.14 / Max: 44.19 Min: 45.76 / Avg: 46.11 / Max: 46.71 Min: 44.84 / Avg: 44.94 / Max: 45.13 Min: 44.78 / Avg: 45.11 / Max: 45.5 Min: 44.8 / Avg: 44.84 / Max: 44.87 Min: 44.81 / Avg: 44.95 / Max: 45.23 Min: 47.77 / Avg: 47.97 / Max: 48.12 Min: 45.57 / Avg: 45.62 / Max: 45.67 Min: 46.93 / Avg: 46.98 / Max: 47.07 Min: 47.21 / Avg: 47.41 / Max: 47.78 Min: 44.81 / Avg: 45.08 / Max: 45.57 Min: 47.41 / Avg: 47.42 / Max: 47.42 Min: 47.19 / Avg: 47.29 / Max: 47.44
Botan Botan is a cross-platform open-source C++ crypto library that supports most all publicly known cryptographic algorithms. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org MiB/s, More Is Better Botan 2.13.0 Test: KASUMI EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 20 40 60 80 100 SE +/- 0.01, N = 3 SE +/- 1.32, N = 3 SE +/- 0.09, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.00, N = 3 82.98 86.15 87.13 74.80 74.00 74.02 74.05 76.29 74.03 75.12 75.07 75.14 75.14 70.48 74.02 71.71 71.59 76.25 71.45 71.80 1. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
Result Confidence
OpenBenchmarking.org MiB/s, More Is Better Botan 2.13.0 Test: KASUMI EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 20 40 60 80 100 Min: 82.97 / Avg: 82.98 / Max: 83 Min: 83.52 / Avg: 86.15 / Max: 87.48 Min: 86.95 / Avg: 87.13 / Max: 87.22 Min: 74.73 / Avg: 74.8 / Max: 74.9 Min: 73.98 / Avg: 74 / Max: 74.02 Min: 74.01 / Avg: 74.02 / Max: 74.04 Min: 74.04 / Avg: 74.05 / Max: 74.09 Min: 76.28 / Avg: 76.29 / Max: 76.31 Min: 73.99 / Avg: 74.03 / Max: 74.05 Min: 75.06 / Avg: 75.12 / Max: 75.17 Min: 75.03 / Avg: 75.07 / Max: 75.13 Min: 75.11 / Avg: 75.14 / Max: 75.16 Min: 75.12 / Avg: 75.14 / Max: 75.16 Min: 70.4 / Avg: 70.48 / Max: 70.61 Min: 74.01 / Avg: 74.02 / Max: 74.02 Min: 71.68 / Avg: 71.71 / Max: 71.77 Min: 71.58 / Avg: 71.59 / Max: 71.61 Min: 76.22 / Avg: 76.25 / Max: 76.3 Min: 71.36 / Avg: 71.45 / Max: 71.51 Min: 71.8 / Avg: 71.8 / Max: 71.81 1. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
Hierarchical INTegration This test runs the U.S. Department of Energy's Ames Laboratory Hierarchical INTegration (HINT) benchmark. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org QUIPs, More Is Better Hierarchical INTegration 1.0 Test: FLOAT EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 70M 140M 210M 280M 350M SE +/- 474278.12, N = 3 SE +/- 134083.43, N = 3 SE +/- 957923.37, N = 3 SE +/- 259915.46, N = 3 SE +/- 128106.17, N = 3 SE +/- 326600.42, N = 3 SE +/- 149246.40, N = 3 SE +/- 606796.66, N = 3 SE +/- 208309.65, N = 3 SE +/- 249228.70, N = 3 SE +/- 19204.56, N = 3 SE +/- 3735800.36, N = 3 SE +/- 115844.25, N = 3 SE +/- 159242.75, N = 3 SE +/- 122611.09, N = 3 SE +/- 178481.76, N = 3 SE +/- 168177.47, N = 3 SE +/- 135788.68, N = 3 SE +/- 3346394.39, N = 3 SE +/- 656575.68, N = 3 321630965.00 338580247.88 338683643.76 291064294.15 286590944.39 286220634.19 287471325.10 295999448.27 287157431.51 291736111.66 291131291.45 288397184.91 291468543.97 274090977.81 287328501.00 278269504.20 278208760.91 295319267.70 274235020.34 276849835.77 1. (CC) gcc options: -O3 -march=native -lm
Result Confidence
OpenBenchmarking.org QUIPs, More Is Better Hierarchical INTegration 1.0 Test: FLOAT EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 60M 120M 180M 240M 300M Min: 320981498.89 / Avg: 321630965 / Max: 322554417.13 Min: 338327615.57 / Avg: 338580247.88 / Max: 338784460.06 Min: 336869842.29 / Avg: 338683643.76 / Max: 340124814.79 Min: 290575870.86 / Avg: 291064294.15 / Max: 291462616.67 Min: 286355086.15 / Avg: 286590944.39 / Max: 286795543.79 Min: 285672800.09 / Avg: 286220634.19 / Max: 286802628.92 Min: 287202473.29 / Avg: 287471325.1 / Max: 287718056.37 Min: 294785978.57 / Avg: 295999448.27 / Max: 296621183.85 Min: 286871915.18 / Avg: 287157431.51 / Max: 287562942.5 Min: 291245765.71 / Avg: 291736111.66 / Max: 292058844.08 Min: 291097868.07 / Avg: 291131291.45 / Max: 291164392.26 Min: 280926056.63 / Avg: 288397184.91 / Max: 292205513 Min: 291286695.38 / Avg: 291468543.97 / Max: 291683798.43 Min: 273773069.3 / Avg: 274090977.81 / Max: 274266527.11 Min: 287105172.58 / Avg: 287328501 / Max: 287527879.24 Min: 277913646.4 / Avg: 278269504.2 / Max: 278471746.39 Min: 277993425.1 / Avg: 278208760.91 / Max: 278540200.69 Min: 295083179.89 / Avg: 295319267.7 / Max: 295553555.36 Min: 267542253.13 / Avg: 274235020.34 / Max: 277596120.27 Min: 275537498.15 / Avg: 276849835.77 / Max: 277546034 1. (CC) gcc options: -O3 -march=native -lm
libjpeg-turbo tjbench tjbench is a JPEG decompression/compression benchmark part of libjpeg-turbo. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Megapixels/sec, More Is Better libjpeg-turbo tjbench 2.0.2 Test: Decompression Throughput EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 40 80 120 160 200 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.16, N = 3 SE +/- 0.05, N = 3 SE +/- 0.10, N = 3 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 SE +/- 0.06, N = 3 SE +/- 0.15, N = 3 SE +/- 0.16, N = 3 SE +/- 0.27, N = 3 SE +/- 0.12, N = 3 SE +/- 0.14, N = 3 SE +/- 0.13, N = 3 SE +/- 0.14, N = 3 SE +/- 0.12, N = 3 SE +/- 0.22, N = 3 SE +/- 0.03, N = 3 188.50 198.33 197.43 170.25 168.10 168.31 168.19 173.39 167.80 170.79 170.68 170.62 170.56 160.53 168.05 163.10 162.52 171.97 161.77 163.28 1. (CC) gcc options: -O3 -rdynamic
Result Confidence
OpenBenchmarking.org Megapixels/sec, More Is Better libjpeg-turbo tjbench 2.0.2 Test: Decompression Throughput EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 40 80 120 160 200 Min: 188.45 / Avg: 188.5 / Max: 188.55 Min: 198.25 / Avg: 198.33 / Max: 198.45 Min: 197.12 / Avg: 197.43 / Max: 197.67 Min: 170.14 / Avg: 170.25 / Max: 170.31 Min: 167.92 / Avg: 168.1 / Max: 168.25 Min: 168.27 / Avg: 168.31 / Max: 168.36 Min: 168.03 / Avg: 168.19 / Max: 168.29 Min: 173.33 / Avg: 173.39 / Max: 173.45 Min: 167.71 / Avg: 167.8 / Max: 167.95 Min: 170.66 / Avg: 170.79 / Max: 170.86 Min: 170.38 / Avg: 170.68 / Max: 170.86 Min: 170.44 / Avg: 170.62 / Max: 170.93 Min: 170.01 / Avg: 170.56 / Max: 170.85 Min: 160.29 / Avg: 160.53 / Max: 160.67 Min: 167.79 / Avg: 168.05 / Max: 168.26 Min: 162.9 / Avg: 163.1 / Max: 163.34 Min: 162.36 / Avg: 162.52 / Max: 162.8 Min: 171.84 / Avg: 171.97 / Max: 172.21 Min: 161.41 / Avg: 161.77 / Max: 162.17 Min: 163.24 / Avg: 163.28 / Max: 163.35 1. (CC) gcc options: -O3 -rdynamic
PostgreSQL pgbench This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 1 - Mode: Read Write - Average Latency EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 0.0853 0.1706 0.2559 0.3412 0.4265 SE +/- 0.004, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 SE +/- 0.003, N = 3 SE +/- 0.002, N = 3 SE +/- 0.004, N = 3 SE +/- 0.004, N = 3 SE +/- 0.002, N = 3 SE +/- 0.004, N = 3 SE +/- 0.000, N = 3 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.005, N = 3 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 SE +/- 0.005, N = 3 0.307 0.330 0.327 0.321 0.334 0.329 0.324 0.319 0.349 0.324 0.327 0.333 0.332 0.338 0.355 0.332 0.338 0.375 0.379 0.370 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 1 - Mode: Read Write - Average Latency EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 1 2 3 4 5 Min: 0.3 / Avg: 0.31 / Max: 0.32 Min: 0.33 / Avg: 0.33 / Max: 0.33 Min: 0.33 / Avg: 0.33 / Max: 0.33 Min: 0.32 / Avg: 0.32 / Max: 0.33 Min: 0.33 / Avg: 0.33 / Max: 0.34 Min: 0.33 / Avg: 0.33 / Max: 0.33 Min: 0.32 / Avg: 0.32 / Max: 0.33 Min: 0.32 / Avg: 0.32 / Max: 0.32 Min: 0.34 / Avg: 0.35 / Max: 0.36 Min: 0.32 / Avg: 0.32 / Max: 0.33 Min: 0.32 / Avg: 0.33 / Max: 0.33 Min: 0.33 / Avg: 0.33 / Max: 0.34 Min: 0.33 / Avg: 0.33 / Max: 0.33 Min: 0.33 / Avg: 0.34 / Max: 0.34 Min: 0.35 / Avg: 0.35 / Max: 0.36 Min: 0.33 / Avg: 0.33 / Max: 0.33 Min: 0.33 / Avg: 0.34 / Max: 0.35 Min: 0.37 / Avg: 0.38 / Max: 0.38 Min: 0.38 / Avg: 0.38 / Max: 0.38 Min: 0.36 / Avg: 0.37 / Max: 0.38 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
SciMark This test runs the ANSI C version of SciMark 2.0, which is a benchmark for scientific and numerical computing developed by programmers at the National Institute of Standards and Technology. This test is made up of Fast Foruier Transform, Jacobi Successive Over-relaxation, Monte Carlo, Sparse Matrix Multiply, and dense LU matrix factorization benchmarks. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Mflops, More Is Better SciMark 2.0 Computational Test: Sparse Matrix Multiply EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 150 300 450 600 750 SE +/- 0.11, N = 3 SE +/- 0.07, N = 3 SE +/- 0.94, N = 3 SE +/- 0.10, N = 3 SE +/- 0.32, N = 3 SE +/- 0.44, N = 3 SE +/- 0.47, N = 3 SE +/- 0.93, N = 3 SE +/- 3.52, N = 3 SE +/- 0.30, N = 3 SE +/- 0.28, N = 3 SE +/- 0.76, N = 3 SE +/- 0.24, N = 3 SE +/- 0.15, N = 3 SE +/- 0.11, N = 3 SE +/- 0.78, N = 3 SE +/- 1.26, N = 3 SE +/- 0.09, N = 3 SE +/- 0.09, N = 3 SE +/- 0.14, N = 3 676.60 711.31 708.70 610.69 602.90 602.54 603.18 621.71 576.87 613.09 613.29 612.90 612.93 576.35 603.65 585.04 584.53 622.28 580.57 582.51 1. (CC) gcc options: -lm
Result Confidence
OpenBenchmarking.org Mflops, More Is Better SciMark 2.0 Computational Test: Sparse Matrix Multiply EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 130 260 390 520 650 Min: 676.4 / Avg: 676.6 / Max: 676.79 Min: 711.2 / Avg: 711.31 / Max: 711.44 Min: 706.98 / Avg: 708.7 / Max: 710.23 Min: 610.52 / Avg: 610.69 / Max: 610.88 Min: 602.3 / Avg: 602.9 / Max: 603.4 Min: 601.67 / Avg: 602.54 / Max: 603.13 Min: 602.29 / Avg: 603.18 / Max: 603.86 Min: 619.97 / Avg: 621.71 / Max: 623.15 Min: 573.33 / Avg: 576.87 / Max: 583.91 Min: 612.5 / Avg: 613.09 / Max: 613.41 Min: 612.75 / Avg: 613.29 / Max: 613.69 Min: 611.4 / Avg: 612.9 / Max: 613.87 Min: 612.59 / Avg: 612.93 / Max: 613.4 Min: 576.11 / Avg: 576.35 / Max: 576.62 Min: 603.44 / Avg: 603.65 / Max: 603.83 Min: 583.83 / Avg: 585.04 / Max: 586.49 Min: 582.04 / Avg: 584.53 / Max: 586.08 Min: 622.1 / Avg: 622.28 / Max: 622.38 Min: 580.44 / Avg: 580.57 / Max: 580.73 Min: 582.29 / Avg: 582.51 / Max: 582.76 1. (CC) gcc options: -lm
PyBench This test profile reports the total time of the different average timed test results from PyBench. PyBench reports average test times for different functions such as BuiltinFunctionCalls and NestedForLoops, with this total result providing a rough estimate as to Python's average performance on a given system. This test profile runs PyBench each time for 20 rounds. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Milliseconds, Fewer Is Better PyBench 2018-02-16 Total For Average Test Times EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 300 600 900 1200 1500 SE +/- 1.53, N = 3 SE +/- 2.33, N = 3 SE +/- 2.03, N = 3 SE +/- 2.40, N = 3 SE +/- 2.73, N = 3 SE +/- 0.58, N = 3 SE +/- 1.76, N = 3 SE +/- 0.67, N = 3 SE +/- 1.20, N = 3 SE +/- 2.19, N = 3 SE +/- 0.67, N = 3 SE +/- 2.19, N = 3 SE +/- 2.60, N = 3 SE +/- 2.60, N = 3 SE +/- 1.20, N = 3 SE +/- 1.00, N = 3 1083 1024 1024 1196 1210 1212 1207 1179 1212 1192 1194 1192 1185 1263 1211 1245 1249 1182 1252 1255
Result Confidence
OpenBenchmarking.org Milliseconds, Fewer Is Better PyBench 2018-02-16 Total For Average Test Times EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 200 400 600 800 1000 Min: 1080 / Avg: 1083 / Max: 1085 Min: 1020 / Avg: 1023.67 / Max: 1028 Min: 1021 / Avg: 1024.33 / Max: 1028 Min: 1191 / Avg: 1195.67 / Max: 1199 Min: 1205 / Avg: 1210.33 / Max: 1214 Min: 1211 / Avg: 1212 / Max: 1213 Min: 1204 / Avg: 1207.33 / Max: 1210 Min: 1211 / Avg: 1211.67 / Max: 1213 Min: 1192 / Avg: 1193.67 / Max: 1196 Min: 1181 / Avg: 1185.33 / Max: 1188 Min: 1262 / Avg: 1263.33 / Max: 1264 Min: 1242 / Avg: 1244.67 / Max: 1249 Min: 1244 / Avg: 1248.67 / Max: 1253 Min: 1177 / Avg: 1181.67 / Max: 1186 Min: 1250 / Avg: 1252.33 / Max: 1254 Min: 1254 / Avg: 1255 / Max: 1257
Darmstadt Automotive Parallel Heterogeneous Suite DAPHNE is the Darmstadt Automotive Parallel HeterogeNEous Benchmark Suite with OpenCL / CUDA / OpenMP test cases for these automotive benchmarks for evaluating programming models in context to vehicle autonomous driving capabilities. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Test Cases Per Minute, More Is Better Darmstadt Automotive Parallel Heterogeneous Suite Backend: OpenMP - Kernel: NDT Mapping EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 200 400 600 800 1000 SE +/- 5.55, N = 3 SE +/- 2.32, N = 3 SE +/- 3.65, N = 3 SE +/- 3.48, N = 3 SE +/- 2.73, N = 3 SE +/- 1.39, N = 3 SE +/- 0.94, N = 3 SE +/- 3.24, N = 3 SE +/- 1.54, N = 3 SE +/- 1.08, N = 3 SE +/- 2.47, N = 3 SE +/- 1.78, N = 3 SE +/- 0.68, N = 3 SE +/- 2.85, N = 3 SE +/- 0.46, N = 3 SE +/- 0.25, N = 3 SE +/- 0.28, N = 3 SE +/- 1.33, N = 3 SE +/- 0.67, N = 3 SE +/- 3.36, N = 3 905.21 956.94 906.95 843.29 856.44 866.72 863.06 881.28 817.76 873.70 872.06 871.26 872.05 796.41 867.20 842.39 798.82 796.55 775.92 835.61 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp
Result Confidence
OpenBenchmarking.org Test Cases Per Minute, More Is Better Darmstadt Automotive Parallel Heterogeneous Suite Backend: OpenMP - Kernel: NDT Mapping EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 200 400 600 800 1000 Min: 896.41 / Avg: 905.21 / Max: 915.46 Min: 954.35 / Avg: 956.94 / Max: 961.56 Min: 900.97 / Avg: 906.95 / Max: 913.57 Min: 836.42 / Avg: 843.29 / Max: 847.7 Min: 853.7 / Avg: 856.44 / Max: 861.91 Min: 864.02 / Avg: 866.72 / Max: 868.63 Min: 861.65 / Avg: 863.06 / Max: 864.84 Min: 875.93 / Avg: 881.28 / Max: 887.13 Min: 814.69 / Avg: 817.76 / Max: 819.32 Min: 871.55 / Avg: 873.7 / Max: 874.99 Min: 867.84 / Avg: 872.06 / Max: 876.41 Min: 867.71 / Avg: 871.26 / Max: 873.17 Min: 870.95 / Avg: 872.05 / Max: 873.3 Min: 793.11 / Avg: 796.41 / Max: 802.09 Min: 866.31 / Avg: 867.2 / Max: 867.82 Min: 842.05 / Avg: 842.39 / Max: 842.88 Min: 798.48 / Avg: 798.82 / Max: 799.37 Min: 794.25 / Avg: 796.55 / Max: 798.86 Min: 774.9 / Avg: 775.92 / Max: 777.17 Min: 828.89 / Avg: 835.61 / Max: 839 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp
WebP Image Encode This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 0.6809 1.3618 2.0427 2.7236 3.4045 SE +/- 0.002, N = 3 SE +/- 0.007, N = 3 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 SE +/- 0.005, N = 3 SE +/- 0.004, N = 3 SE +/- 0.002, N = 3 SE +/- 0.004, N = 3 SE +/- 0.005, N = 3 SE +/- 0.006, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.017, N = 3 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 SE +/- 0.007, N = 3 SE +/- 0.001, N = 3 SE +/- 0.004, N = 3 SE +/- 0.004, N = 3 2.828 2.454 2.456 2.858 2.895 2.893 2.884 2.799 2.890 2.836 2.839 2.841 2.836 3.026 2.874 2.967 2.984 2.801 3.004 2.971 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
Result Confidence
OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 2 4 6 8 10 Min: 2.83 / Avg: 2.83 / Max: 2.83 Min: 2.45 / Avg: 2.45 / Max: 2.47 Min: 2.45 / Avg: 2.46 / Max: 2.46 Min: 2.86 / Avg: 2.86 / Max: 2.86 Min: 2.89 / Avg: 2.9 / Max: 2.9 Min: 2.89 / Avg: 2.89 / Max: 2.9 Min: 2.88 / Avg: 2.88 / Max: 2.89 Min: 2.8 / Avg: 2.8 / Max: 2.8 Min: 2.88 / Avg: 2.89 / Max: 2.89 Min: 2.83 / Avg: 2.84 / Max: 2.84 Min: 2.83 / Avg: 2.84 / Max: 2.85 Min: 2.84 / Avg: 2.84 / Max: 2.84 Min: 2.84 / Avg: 2.84 / Max: 2.84 Min: 3.01 / Avg: 3.03 / Max: 3.06 Min: 2.87 / Avg: 2.87 / Max: 2.88 Min: 2.97 / Avg: 2.97 / Max: 2.97 Min: 2.97 / Avg: 2.98 / Max: 2.99 Min: 2.8 / Avg: 2.8 / Max: 2.8 Min: 3 / Avg: 3 / Max: 3.01 Min: 2.96 / Avg: 2.97 / Max: 2.98 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
FLAC Audio Encoding This test times how long it takes to encode a sample WAV file to FLAC format five times. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better FLAC Audio Encoding 1.3.2 WAV To FLAC EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 SE +/- 0.018, N = 5 SE +/- 0.012, N = 5 SE +/- 0.009, N = 5 SE +/- 0.016, N = 5 SE +/- 0.009, N = 5 SE +/- 0.008, N = 5 SE +/- 0.003, N = 5 SE +/- 0.012, N = 5 SE +/- 0.014, N = 5 SE +/- 0.009, N = 5 SE +/- 0.009, N = 5 SE +/- 0.009, N = 5 SE +/- 0.012, N = 5 SE +/- 0.006, N = 5 SE +/- 0.007, N = 5 SE +/- 0.006, N = 5 SE +/- 0.007, N = 5 SE +/- 0.004, N = 5 SE +/- 0.016, N = 5 SE +/- 0.003, N = 5 8.997 8.515 8.569 9.931 10.058 10.026 10.008 9.736 10.051 9.890 9.895 9.927 9.899 10.490 10.025 10.303 10.418 9.844 10.419 10.307 1. (CXX) g++ options: -O2 -fvisibility=hidden -logg -lm
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better FLAC Audio Encoding 1.3.2 WAV To FLAC EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 Min: 8.95 / Avg: 9 / Max: 9.05 Min: 8.49 / Avg: 8.51 / Max: 8.55 Min: 8.55 / Avg: 8.57 / Max: 8.59 Min: 9.88 / Avg: 9.93 / Max: 9.97 Min: 10.03 / Avg: 10.06 / Max: 10.08 Min: 10 / Avg: 10.03 / Max: 10.05 Min: 10 / Avg: 10.01 / Max: 10.02 Min: 9.71 / Avg: 9.74 / Max: 9.76 Min: 10.01 / Avg: 10.05 / Max: 10.09 Min: 9.87 / Avg: 9.89 / Max: 9.92 Min: 9.87 / Avg: 9.9 / Max: 9.92 Min: 9.91 / Avg: 9.93 / Max: 9.95 Min: 9.88 / Avg: 9.9 / Max: 9.94 Min: 10.47 / Avg: 10.49 / Max: 10.5 Min: 10.01 / Avg: 10.02 / Max: 10.05 Min: 10.29 / Avg: 10.3 / Max: 10.33 Min: 10.4 / Avg: 10.42 / Max: 10.44 Min: 9.83 / Avg: 9.84 / Max: 9.86 Min: 10.37 / Avg: 10.42 / Max: 10.46 Min: 10.3 / Avg: 10.31 / Max: 10.32 1. (CXX) g++ options: -O2 -fvisibility=hidden -logg -lm
eSpeak-NG Speech Engine This test times how long it takes the eSpeak speech synthesizer to read Project Gutenberg's The Outline of Science and output to a WAV file. This test profile is now tracking the eSpeak-NG version of eSpeak. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better eSpeak-NG Speech Engine 20200907 Text-To-Speech Synthesis EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 9 18 27 36 45 SE +/- 0.12, N = 4 SE +/- 0.08, N = 4 SE +/- 0.06, N = 4 SE +/- 0.06, N = 4 SE +/- 0.15, N = 4 SE +/- 0.09, N = 4 SE +/- 0.09, N = 4 SE +/- 0.12, N = 4 SE +/- 0.11, N = 4 SE +/- 0.11, N = 4 SE +/- 0.10, N = 4 SE +/- 0.15, N = 4 SE +/- 0.11, N = 4 SE +/- 0.08, N = 4 SE +/- 0.13, N = 4 SE +/- 0.06, N = 4 SE +/- 0.09, N = 4 SE +/- 0.10, N = 4 SE +/- 0.05, N = 4 SE +/- 0.13, N = 4 32.59 31.18 31.46 36.01 36.59 36.48 36.45 35.45 36.58 35.97 36.03 36.10 35.88 38.19 36.50 37.56 37.87 35.80 37.97 37.62 1. (CC) gcc options: -O2 -std=c99
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better eSpeak-NG Speech Engine 20200907 Text-To-Speech Synthesis EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 8 16 24 32 40 Min: 32.3 / Avg: 32.59 / Max: 32.85 Min: 30.99 / Avg: 31.18 / Max: 31.36 Min: 31.29 / Avg: 31.46 / Max: 31.53 Min: 35.87 / Avg: 36.01 / Max: 36.14 Min: 36.3 / Avg: 36.59 / Max: 36.97 Min: 36.26 / Avg: 36.48 / Max: 36.63 Min: 36.22 / Avg: 36.45 / Max: 36.64 Min: 35.15 / Avg: 35.45 / Max: 35.69 Min: 36.34 / Avg: 36.58 / Max: 36.88 Min: 35.7 / Avg: 35.97 / Max: 36.23 Min: 35.75 / Avg: 36.03 / Max: 36.23 Min: 35.7 / Avg: 36.1 / Max: 36.41 Min: 35.69 / Avg: 35.88 / Max: 36.13 Min: 38.05 / Avg: 38.19 / Max: 38.37 Min: 36.27 / Avg: 36.5 / Max: 36.74 Min: 37.4 / Avg: 37.56 / Max: 37.67 Min: 37.67 / Avg: 37.87 / Max: 38.03 Min: 35.62 / Avg: 35.8 / Max: 36.03 Min: 37.88 / Avg: 37.97 / Max: 38.09 Min: 37.35 / Avg: 37.62 / Max: 37.93 1. (CC) gcc options: -O2 -std=c99
SQLite Speedtest This is a benchmark of SQLite's speedtest1 benchmark program with an increased problem size of 1,000. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better SQLite Speedtest 3.30 Timed Time - Size 1,000 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 20 40 60 80 100 SE +/- 0.56, N = 3 SE +/- 0.11, N = 3 SE +/- 0.29, N = 3 SE +/- 0.42, N = 3 SE +/- 0.13, N = 3 SE +/- 0.11, N = 3 SE +/- 0.12, N = 3 SE +/- 0.20, N = 3 SE +/- 0.18, N = 3 SE +/- 0.17, N = 3 SE +/- 0.13, N = 3 SE +/- 0.21, N = 3 SE +/- 0.16, N = 3 SE +/- 0.72, N = 3 SE +/- 0.03, N = 3 SE +/- 0.19, N = 3 SE +/- 0.20, N = 3 SE +/- 0.15, N = 3 SE +/- 0.24, N = 3 SE +/- 0.19, N = 3 70.46 66.32 66.87 76.05 76.75 76.30 76.36 74.19 77.10 75.75 75.41 75.21 75.29 81.08 76.01 77.91 78.93 75.87 79.09 79.62 1. (CC) gcc options: -O2 -ldl -lz -lpthread
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better SQLite Speedtest 3.30 Timed Time - Size 1,000 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 15 30 45 60 75 Min: 69.4 / Avg: 70.46 / Max: 71.3 Min: 66.19 / Avg: 66.32 / Max: 66.53 Min: 66.42 / Avg: 66.87 / Max: 67.4 Min: 75.26 / Avg: 76.05 / Max: 76.72 Min: 76.49 / Avg: 76.75 / Max: 76.94 Min: 76.13 / Avg: 76.3 / Max: 76.49 Min: 76.23 / Avg: 76.36 / Max: 76.6 Min: 73.93 / Avg: 74.19 / Max: 74.6 Min: 76.76 / Avg: 77.1 / Max: 77.4 Min: 75.53 / Avg: 75.75 / Max: 76.08 Min: 75.14 / Avg: 75.41 / Max: 75.56 Min: 74.92 / Avg: 75.21 / Max: 75.61 Min: 75.01 / Avg: 75.29 / Max: 75.56 Min: 79.79 / Avg: 81.08 / Max: 82.29 Min: 75.96 / Avg: 76.01 / Max: 76.07 Min: 77.55 / Avg: 77.91 / Max: 78.17 Min: 78.53 / Avg: 78.93 / Max: 79.21 Min: 75.67 / Avg: 75.86 / Max: 76.15 Min: 78.84 / Avg: 79.09 / Max: 79.56 Min: 79.29 / Avg: 79.62 / Max: 79.94 1. (CC) gcc options: -O2 -ldl -lz -lpthread
GEGL GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Cartoon EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 30 60 90 120 150 SE +/- 0.06, N = 3 SE +/- 0.11, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.13, N = 3 SE +/- 0.23, N = 3 SE +/- 0.15, N = 3 SE +/- 0.08, N = 3 SE +/- 0.08, N = 3 SE +/- 0.15, N = 3 SE +/- 0.16, N = 3 SE +/- 0.10, N = 3 SE +/- 0.05, N = 3 SE +/- 0.17, N = 3 SE +/- 0.10, N = 3 SE +/- 0.09, N = 3 SE +/- 0.08, N = 3 SE +/- 0.06, N = 3 102.01 96.97 96.57 111.53 112.67 113.44 112.71 109.37 114.07 110.61 110.64 111.18 110.86 118.03 112.07 114.56 115.16 110.01 115.38 114.43
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Cartoon EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 20 40 60 80 100 Min: 101.93 / Avg: 102.01 / Max: 102.12 Min: 96.76 / Avg: 96.97 / Max: 97.13 Min: 96.49 / Avg: 96.57 / Max: 96.7 Min: 111.44 / Avg: 111.53 / Max: 111.59 Min: 112.59 / Avg: 112.67 / Max: 112.75 Min: 113.4 / Avg: 113.44 / Max: 113.5 Min: 112.44 / Avg: 112.71 / Max: 112.84 Min: 109.09 / Avg: 109.37 / Max: 109.82 Min: 113.78 / Avg: 114.07 / Max: 114.27 Min: 110.53 / Avg: 110.61 / Max: 110.77 Min: 110.55 / Avg: 110.64 / Max: 110.81 Min: 111.02 / Avg: 111.18 / Max: 111.49 Min: 110.54 / Avg: 110.86 / Max: 111.04 Min: 117.9 / Avg: 118.03 / Max: 118.22 Min: 112.01 / Avg: 112.07 / Max: 112.17 Min: 114.37 / Avg: 114.56 / Max: 114.9 Min: 114.98 / Avg: 115.16 / Max: 115.31 Min: 109.92 / Avg: 110.01 / Max: 110.18 Min: 115.28 / Avg: 115.38 / Max: 115.54 Min: 114.36 / Avg: 114.42 / Max: 114.54
GIMP GIMP is an open-source image manipulaton program. This test profile will use the system-provided GIMP program otherwise on Windows relys upon a pre-packaged Windows binary from upstream GIMP.org. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better GIMP 2.10.18 Test: resize EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 SE +/- 0.101, N = 7 SE +/- 0.028, N = 3 SE +/- 0.033, N = 3 SE +/- 0.023, N = 3 SE +/- 0.044, N = 3 SE +/- 0.010, N = 3 SE +/- 0.026, N = 3 SE +/- 0.060, N = 3 SE +/- 0.040, N = 3 SE +/- 0.049, N = 3 SE +/- 0.035, N = 3 SE +/- 0.030, N = 3 SE +/- 0.026, N = 3 SE +/- 0.052, N = 3 SE +/- 0.060, N = 3 SE +/- 0.005, N = 3 SE +/- 0.061, N = 3 SE +/- 0.035, N = 3 SE +/- 0.036, N = 3 SE +/- 0.098, N = 3 9.131 9.044 9.165 10.242 10.428 10.338 10.293 9.737 10.581 9.919 9.986 10.039 9.912 10.544 10.153 10.078 10.346 10.680 10.853 11.050
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GIMP 2.10.18 Test: resize EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 Min: 8.99 / Avg: 9.13 / Max: 9.74 Min: 8.99 / Avg: 9.04 / Max: 9.07 Min: 9.11 / Avg: 9.16 / Max: 9.22 Min: 10.2 / Avg: 10.24 / Max: 10.27 Min: 10.34 / Avg: 10.43 / Max: 10.48 Min: 10.32 / Avg: 10.34 / Max: 10.35 Min: 10.24 / Avg: 10.29 / Max: 10.33 Min: 9.65 / Avg: 9.74 / Max: 9.85 Min: 10.53 / Avg: 10.58 / Max: 10.66 Min: 9.83 / Avg: 9.92 / Max: 10 Min: 9.95 / Avg: 9.99 / Max: 10.06 Min: 10 / Avg: 10.04 / Max: 10.1 Min: 9.87 / Avg: 9.91 / Max: 9.96 Min: 10.49 / Avg: 10.54 / Max: 10.65 Min: 10.06 / Avg: 10.15 / Max: 10.27 Min: 10.07 / Avg: 10.08 / Max: 10.09 Min: 10.26 / Avg: 10.35 / Max: 10.47 Min: 10.62 / Avg: 10.68 / Max: 10.74 Min: 10.81 / Avg: 10.85 / Max: 10.93 Min: 10.91 / Avg: 11.05 / Max: 11.24
Scikit-Learn Scikit-learn is a Python module for machine learning Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Scikit-Learn 0.22.1 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 SE +/- 0.019, N = 3 SE +/- 0.150, N = 14 SE +/- 0.016, N = 3 SE +/- 0.010, N = 3 SE +/- 0.055, N = 3 SE +/- 0.186, N = 14 SE +/- 0.022, N = 3 SE +/- 0.042, N = 3 SE +/- 0.021, N = 3 SE +/- 0.017, N = 3 SE +/- 0.035, N = 3 SE +/- 0.024, N = 3 SE +/- 0.012, N = 3 SE +/- 0.011, N = 3 SE +/- 0.012, N = 3 SE +/- 0.013, N = 3 SE +/- 0.037, N = 3 SE +/- 0.170, N = 3 SE +/- 0.053, N = 3 SE +/- 0.061, N = 3 10.122 9.973 10.101 10.765 10.956 11.222 11.100 10.688 11.205 10.873 10.937 10.959 11.030 11.700 11.229 11.296 11.554 11.603 11.885 12.183
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Scikit-Learn 0.22.1 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 4 8 12 16 20 Min: 10.09 / Avg: 10.12 / Max: 10.15 Min: 9.75 / Avg: 9.97 / Max: 11.92 Min: 10.08 / Avg: 10.1 / Max: 10.13 Min: 10.75 / Avg: 10.77 / Max: 10.78 Min: 10.85 / Avg: 10.96 / Max: 11.03 Min: 10.92 / Avg: 11.22 / Max: 13.63 Min: 11.06 / Avg: 11.1 / Max: 11.13 Min: 10.63 / Avg: 10.69 / Max: 10.77 Min: 11.17 / Avg: 11.21 / Max: 11.24 Min: 10.84 / Avg: 10.87 / Max: 10.89 Min: 10.87 / Avg: 10.94 / Max: 11 Min: 10.93 / Avg: 10.96 / Max: 11.01 Min: 11.01 / Avg: 11.03 / Max: 11.05 Min: 11.68 / Avg: 11.7 / Max: 11.72 Min: 11.22 / Avg: 11.23 / Max: 11.25 Min: 11.28 / Avg: 11.3 / Max: 11.32 Min: 11.5 / Avg: 11.55 / Max: 11.62 Min: 11.42 / Avg: 11.6 / Max: 11.94 Min: 11.78 / Avg: 11.88 / Max: 11.96 Min: 12.1 / Avg: 12.18 / Max: 12.3
Git This test measures the time needed to carry out some sample Git operations on an example, static repository that happens to be a copy of the GNOME GTK tool-kit repository. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Git Time To Complete Common Git Commands EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 14 28 42 56 70 SE +/- 0.11, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.12, N = 3 SE +/- 0.04, N = 3 SE +/- 0.08, N = 3 SE +/- 0.08, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.08, N = 3 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 SE +/- 0.25, N = 3 SE +/- 0.06, N = 3 55.37 52.99 53.05 60.56 61.64 61.60 61.21 59.68 61.53 60.30 60.73 60.52 60.60 64.22 61.77 62.97 63.00 60.39 63.31 64.55 1. git version 2.27.0
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Git Time To Complete Common Git Commands EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 13 26 39 52 65 Min: 55.16 / Avg: 55.37 / Max: 55.55 Min: 52.87 / Avg: 52.99 / Max: 53.12 Min: 53.01 / Avg: 53.05 / Max: 53.11 Min: 60.52 / Avg: 60.56 / Max: 60.62 Min: 61.63 / Avg: 61.64 / Max: 61.67 Min: 61.36 / Avg: 61.6 / Max: 61.77 Min: 61.13 / Avg: 61.21 / Max: 61.26 Min: 59.54 / Avg: 59.68 / Max: 59.81 Min: 61.41 / Avg: 61.53 / Max: 61.67 Min: 60.19 / Avg: 60.3 / Max: 60.4 Min: 60.63 / Avg: 60.73 / Max: 60.78 Min: 60.5 / Avg: 60.52 / Max: 60.55 Min: 60.49 / Avg: 60.6 / Max: 60.69 Min: 64.09 / Avg: 64.22 / Max: 64.35 Min: 61.7 / Avg: 61.77 / Max: 61.88 Min: 62.89 / Avg: 62.97 / Max: 63.03 Min: 62.84 / Avg: 63 / Max: 63.14 Min: 60.34 / Avg: 60.39 / Max: 60.45 Min: 63 / Avg: 63.31 / Max: 63.81 Min: 64.46 / Avg: 64.55 / Max: 64.65 1. git version 2.27.0
Hugin Hugin is an open-source, cross-platform panorama photo stitcher software package. This test profile times how long it takes to run the assistant and panorama photo stitching on a set of images. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Hugin Panorama Photo Assistant + Stitching Time EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 14 28 42 56 70 SE +/- 0.11, N = 3 SE +/- 0.13, N = 3 SE +/- 0.23, N = 3 SE +/- 0.15, N = 3 SE +/- 0.25, N = 3 SE +/- 0.41, N = 3 SE +/- 0.14, N = 3 SE +/- 0.19, N = 3 SE +/- 0.38, N = 3 SE +/- 0.24, N = 3 SE +/- 0.40, N = 3 SE +/- 0.32, N = 3 SE +/- 0.26, N = 3 SE +/- 0.31, N = 3 SE +/- 0.21, N = 3 SE +/- 0.42, N = 3 SE +/- 0.21, N = 3 SE +/- 0.06, N = 3 SE +/- 0.26, N = 3 SE +/- 0.25, N = 3 49.73 50.68 52.94 55.13 54.66 55.29 54.53 52.42 54.94 53.39 53.43 53.72 53.10 56.73 54.45 55.77 56.65 59.17 60.35 60.57
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Hugin Panorama Photo Assistant + Stitching Time EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 12 24 36 48 60 Min: 49.54 / Avg: 49.72 / Max: 49.93 Min: 50.42 / Avg: 50.68 / Max: 50.83 Min: 52.48 / Avg: 52.94 / Max: 53.18 Min: 54.84 / Avg: 55.13 / Max: 55.35 Min: 54.28 / Avg: 54.66 / Max: 55.14 Min: 54.64 / Avg: 55.28 / Max: 56.05 Min: 54.34 / Avg: 54.53 / Max: 54.81 Min: 52.04 / Avg: 52.42 / Max: 52.67 Min: 54.17 / Avg: 54.94 / Max: 55.32 Min: 52.95 / Avg: 53.39 / Max: 53.77 Min: 52.7 / Avg: 53.43 / Max: 54.09 Min: 53.08 / Avg: 53.72 / Max: 54.09 Min: 52.78 / Avg: 53.1 / Max: 53.6 Min: 56.18 / Avg: 56.73 / Max: 57.24 Min: 54.04 / Avg: 54.45 / Max: 54.69 Min: 55.26 / Avg: 55.77 / Max: 56.6 Min: 56.37 / Avg: 56.65 / Max: 57.07 Min: 59.05 / Avg: 59.17 / Max: 59.24 Min: 60.05 / Avg: 60.35 / Max: 60.87 Min: 60.08 / Avg: 60.57 / Max: 60.83
GEGL GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Scale EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 2 4 6 8 10 SE +/- 0.022, N = 3 SE +/- 0.020, N = 3 SE +/- 0.034, N = 3 SE +/- 0.070, N = 3 SE +/- 0.013, N = 3 SE +/- 0.028, N = 3 SE +/- 0.020, N = 3 SE +/- 0.009, N = 3 SE +/- 0.027, N = 3 SE +/- 0.061, N = 3 SE +/- 0.019, N = 3 SE +/- 0.024, N = 3 SE +/- 0.026, N = 3 SE +/- 0.036, N = 3 SE +/- 0.020, N = 3 SE +/- 0.036, N = 3 SE +/- 0.017, N = 3 SE +/- 0.018, N = 3 SE +/- 0.020, N = 3 SE +/- 0.032, N = 3 6.957 6.733 6.582 7.349 7.348 7.623 7.654 7.225 7.947 7.394 7.400 7.561 7.444 8.006 7.557 7.432 7.543 7.510 7.665 7.542
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Scale EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 Min: 6.92 / Avg: 6.96 / Max: 7 Min: 6.69 / Avg: 6.73 / Max: 6.75 Min: 6.53 / Avg: 6.58 / Max: 6.65 Min: 7.23 / Avg: 7.35 / Max: 7.47 Min: 7.34 / Avg: 7.35 / Max: 7.37 Min: 7.58 / Avg: 7.62 / Max: 7.68 Min: 7.63 / Avg: 7.65 / Max: 7.69 Min: 7.21 / Avg: 7.23 / Max: 7.24 Min: 7.91 / Avg: 7.95 / Max: 8 Min: 7.31 / Avg: 7.39 / Max: 7.51 Min: 7.38 / Avg: 7.4 / Max: 7.44 Min: 7.53 / Avg: 7.56 / Max: 7.61 Min: 7.41 / Avg: 7.44 / Max: 7.49 Min: 7.94 / Avg: 8.01 / Max: 8.05 Min: 7.52 / Avg: 7.56 / Max: 7.58 Min: 7.38 / Avg: 7.43 / Max: 7.5 Min: 7.53 / Avg: 7.54 / Max: 7.58 Min: 7.49 / Avg: 7.51 / Max: 7.55 Min: 7.63 / Avg: 7.67 / Max: 7.69 Min: 7.49 / Avg: 7.54 / Max: 7.6
ECP-CANDLE The CANDLE benchmark codes implement deep learning architectures relevant to problems in cancer. These architectures address problems at different biological scales, specifically problems at the molecular, cellular and population scales. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better ECP-CANDLE 0.3 Benchmark: P1B2 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 10 20 30 40 50 40.22 37.68 38.56 45.35 44.95 44.33 43.99 42.34 44.09 42.51 43.03 42.80 42.12 44.84 42.72 45.12 44.94 43.34 45.12 45.68
FFTW FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Mflops, More Is Better FFTW 3.3.6 Build: Stock - Size: 2D FFT Size 4096 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 1200 2400 3600 4800 6000 SE +/- 4.53, N = 3 SE +/- 16.76, N = 3 SE +/- 4.57, N = 3 SE +/- 12.00, N = 3 SE +/- 11.98, N = 3 SE +/- 3.03, N = 3 SE +/- 1.56, N = 3 SE +/- 15.88, N = 3 SE +/- 7.15, N = 3 SE +/- 6.76, N = 3 SE +/- 0.94, N = 3 SE +/- 4.72, N = 3 SE +/- 4.51, N = 3 SE +/- 9.23, N = 3 SE +/- 13.80, N = 3 SE +/- 6.37, N = 3 SE +/- 12.09, N = 3 SE +/- 8.18, N = 3 SE +/- 18.75, N = 3 SE +/- 9.01, N = 3 5661.0 5705.4 5671.4 5107.6 5040.7 5013.4 5024.5 5108.5 5002.8 5028.0 5061.3 5049.7 5061.8 4728.4 4980.0 4812.5 4772.9 5019.6 4732.2 4732.0 1. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm
Result Confidence
OpenBenchmarking.org Mflops, More Is Better FFTW 3.3.6 Build: Stock - Size: 2D FFT Size 4096 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 1000 2000 3000 4000 5000 Min: 5653.7 / Avg: 5660.97 / Max: 5669.3 Min: 5672.1 / Avg: 5705.43 / Max: 5725.2 Min: 5662.3 / Avg: 5671.43 / Max: 5676.2 Min: 5084 / Avg: 5107.6 / Max: 5123.2 Min: 5022.3 / Avg: 5040.73 / Max: 5063.2 Min: 5008.1 / Avg: 5013.37 / Max: 5018.6 Min: 5021.7 / Avg: 5024.5 / Max: 5027.1 Min: 5089.3 / Avg: 5108.5 / Max: 5140 Min: 4988.8 / Avg: 5002.77 / Max: 5012.4 Min: 5017 / Avg: 5027.97 / Max: 5040.3 Min: 5059.5 / Avg: 5061.33 / Max: 5062.6 Min: 5044.1 / Avg: 5049.73 / Max: 5059.1 Min: 5055.7 / Avg: 5061.8 / Max: 5070.6 Min: 4718 / Avg: 4728.4 / Max: 4746.8 Min: 4955.2 / Avg: 4980 / Max: 5002.9 Min: 4800.8 / Avg: 4812.5 / Max: 4822.7 Min: 4749 / Avg: 4772.93 / Max: 4787.9 Min: 5010.6 / Avg: 5019.57 / Max: 5035.9 Min: 4704 / Avg: 4732.2 / Max: 4767.7 Min: 4714.4 / Avg: 4732.03 / Max: 4744.1 1. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm
Tesseract OCR Tesseract-OCR is the open-source optical character recognition (OCR) engine for the conversion of text within images to raw text output. This test profile relies upon a system-supplied Tesseract installation. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Tesseract OCR 4.1.1 Time To OCR 7 Images EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 8 16 24 32 40 SE +/- 0.09, N = 3 SE +/- 0.01, N = 3 SE +/- 0.07, N = 3 SE +/- 0.09, N = 3 SE +/- 0.13, N = 3 SE +/- 0.07, N = 3 SE +/- 0.20, N = 3 SE +/- 0.06, N = 3 SE +/- 0.19, N = 3 SE +/- 0.17, N = 3 SE +/- 0.04, N = 3 SE +/- 0.10, N = 3 SE +/- 0.16, N = 3 SE +/- 0.08, N = 3 SE +/- 0.10, N = 3 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 SE +/- 0.15, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 28.66 27.06 27.46 31.04 31.36 31.47 31.16 30.73 31.50 30.95 31.07 31.25 31.08 32.65 31.52 32.11 32.22 30.92 32.45 32.43
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Tesseract OCR 4.1.1 Time To OCR 7 Images EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 7 14 21 28 35 Min: 28.48 / Avg: 28.66 / Max: 28.8 Min: 27.03 / Avg: 27.06 / Max: 27.08 Min: 27.36 / Avg: 27.46 / Max: 27.59 Min: 30.94 / Avg: 31.04 / Max: 31.21 Min: 31.16 / Avg: 31.36 / Max: 31.61 Min: 31.39 / Avg: 31.47 / Max: 31.61 Min: 30.94 / Avg: 31.16 / Max: 31.56 Min: 30.61 / Avg: 30.73 / Max: 30.81 Min: 31.22 / Avg: 31.5 / Max: 31.87 Min: 30.61 / Avg: 30.95 / Max: 31.12 Min: 30.99 / Avg: 31.07 / Max: 31.14 Min: 31.05 / Avg: 31.25 / Max: 31.39 Min: 30.92 / Avg: 31.08 / Max: 31.4 Min: 32.51 / Avg: 32.65 / Max: 32.79 Min: 31.41 / Avg: 31.52 / Max: 31.71 Min: 32.02 / Avg: 32.11 / Max: 32.2 Min: 32.11 / Avg: 32.22 / Max: 32.33 Min: 30.65 / Avg: 30.92 / Max: 31.15 Min: 32.35 / Avg: 32.45 / Max: 32.52 Min: 32.4 / Avg: 32.43 / Max: 32.45
GEGL GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Rotate 90 Degrees EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 11 22 33 44 55 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.10, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 42.75 41.35 41.46 46.81 47.17 47.84 47.33 45.72 48.17 46.44 46.44 46.78 46.41 49.58 47.39 48.25 48.84 47.54 49.78 49.86
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Rotate 90 Degrees EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 10 20 30 40 50 Min: 42.71 / Avg: 42.75 / Max: 42.81 Min: 41.29 / Avg: 41.35 / Max: 41.41 Min: 41.44 / Avg: 41.46 / Max: 41.47 Min: 46.69 / Avg: 46.81 / Max: 46.91 Min: 47.1 / Avg: 47.17 / Max: 47.22 Min: 47.75 / Avg: 47.84 / Max: 47.97 Min: 47.3 / Avg: 47.33 / Max: 47.37 Min: 45.69 / Avg: 45.72 / Max: 45.75 Min: 48.02 / Avg: 48.17 / Max: 48.37 Min: 46.4 / Avg: 46.44 / Max: 46.47 Min: 46.43 / Avg: 46.44 / Max: 46.45 Min: 46.71 / Avg: 46.78 / Max: 46.83 Min: 46.29 / Avg: 46.41 / Max: 46.49 Min: 49.56 / Avg: 49.58 / Max: 49.63 Min: 47.37 / Avg: 47.39 / Max: 47.41 Min: 48.19 / Avg: 48.25 / Max: 48.28 Min: 48.77 / Avg: 48.84 / Max: 48.88 Min: 47.52 / Avg: 47.54 / Max: 47.57 Min: 49.72 / Avg: 49.78 / Max: 49.84 Min: 49.74 / Avg: 49.86 / Max: 50.01
ArrayFire ArrayFire is an GPU and CPU numeric processing library, this test uses the built-in CPU and OpenCL ArrayFire benchmarks. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better ArrayFire 3.7 Test: Conjugate Gradient CPU EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 9 18 27 36 45 SE +/- 0.20, N = 3 SE +/- 0.23, N = 3 SE +/- 0.49, N = 15 SE +/- 0.44, N = 3 SE +/- 0.14, N = 3 SE +/- 0.27, N = 15 SE +/- 0.39, N = 3 SE +/- 0.25, N = 3 SE +/- 0.27, N = 3 SE +/- 0.48, N = 15 SE +/- 0.63, N = 3 SE +/- 0.90, N = 12 SE +/- 0.58, N = 3 SE +/- 0.35, N = 15 SE +/- 0.13, N = 3 SE +/- 0.05, N = 3 SE +/- 0.44, N = 15 SE +/- 0.48, N = 15 SE +/- 0.35, N = 15 SE +/- 0.42, N = 3 34.31 34.69 34.42 40.10 41.08 34.66 35.42 39.86 38.99 34.68 38.35 39.89 39.06 36.46 35.44 40.48 37.04 38.46 36.01 34.67 1. (CXX) g++ options: -rdynamic
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better ArrayFire 3.7 Test: Conjugate Gradient CPU EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 9 18 27 36 45 Min: 34.07 / Avg: 34.31 / Max: 34.7 Min: 34.28 / Avg: 34.69 / Max: 35.08 Min: 32.46 / Avg: 34.42 / Max: 39.15 Min: 39.24 / Avg: 40.1 / Max: 40.64 Min: 40.94 / Avg: 41.08 / Max: 41.36 Min: 33.09 / Avg: 34.66 / Max: 37.07 Min: 34.79 / Avg: 35.42 / Max: 36.14 Min: 39.35 / Avg: 39.86 / Max: 40.14 Min: 38.52 / Avg: 38.99 / Max: 39.44 Min: 33.32 / Avg: 34.68 / Max: 39.23 Min: 37.1 / Avg: 38.35 / Max: 38.99 Min: 36.69 / Avg: 39.89 / Max: 48.24 Min: 38.24 / Avg: 39.06 / Max: 40.17 Min: 33.78 / Avg: 36.46 / Max: 38.67 Min: 35.25 / Avg: 35.44 / Max: 35.69 Min: 40.41 / Avg: 40.48 / Max: 40.58 Min: 34.83 / Avg: 37.04 / Max: 40.58 Min: 36.04 / Avg: 38.46 / Max: 41.61 Min: 34.31 / Avg: 36.01 / Max: 39.06 Min: 34.08 / Avg: 34.67 / Max: 35.48 1. (CXX) g++ options: -rdynamic
PostMark This is a test of NetApp's PostMark benchmark designed to simulate small-file testing similar to the tasks endured by web and mail servers. This test profile will set PostMark to perform 25,000 transactions with 500 files simultaneously with the file sizes ranging between 5 and 512 kilobytes. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org TPS, More Is Better PostMark 1.51 Disk Transaction Performance EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 1500 3000 4500 6000 7500 SE +/- 56.00, N = 3 SE +/- 62.67, N = 3 SE +/- 48.33, N = 3 SE +/- 48.33, N = 3 SE +/- 48.33, N = 3 SE +/- 81.99, N = 3 SE +/- 51.00, N = 3 SE +/- 51.00, N = 3 SE +/- 46.33, N = 3 SE +/- 51.00, N = 3 SE +/- 46.33, N = 3 6522 6881 6756 6049 6049 6049 6097 6250 5954 6148 6097 6199 6097 5813 6097 5906 5813 6199 5952 5859 1. (CC) gcc options: -O3
Result Confidence
OpenBenchmarking.org TPS, More Is Better PostMark 1.51 Disk Transaction Performance EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 1200 2400 3600 4800 6000 Min: 6410 / Avg: 6522 / Max: 6578 Min: 6756 / Avg: 6881.33 / Max: 6944 Min: 5952 / Avg: 6048.67 / Max: 6097 Min: 5952 / Avg: 6048.67 / Max: 6097 Min: 5952 / Avg: 6048.67 / Max: 6097 Min: 5813 / Avg: 5954 / Max: 6097 Min: 6097 / Avg: 6148 / Max: 6250 Min: 6097 / Avg: 6199 / Max: 6250 Min: 5813 / Avg: 5905.67 / Max: 5952 Min: 6097 / Avg: 6199 / Max: 6250 Min: 5813 / Avg: 5859.33 / Max: 5952 1. (CC) gcc options: -O3
Unpacking The Linux Kernel This test measures how long it takes to extract the .tar.xz Linux kernel package. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Unpacking The Linux Kernel linux-4.15.tar.xz EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 2 4 6 8 10 SE +/- 0.015, N = 4 SE +/- 0.018, N = 4 SE +/- 0.023, N = 4 SE +/- 0.020, N = 4 SE +/- 0.027, N = 4 SE +/- 0.022, N = 4 SE +/- 0.006, N = 4 SE +/- 0.024, N = 4 SE +/- 0.027, N = 4 SE +/- 0.013, N = 4 SE +/- 0.036, N = 4 SE +/- 0.015, N = 4 SE +/- 0.014, N = 4 SE +/- 0.030, N = 4 SE +/- 0.047, N = 4 SE +/- 0.014, N = 4 SE +/- 0.030, N = 4 SE +/- 0.023, N = 4 SE +/- 0.024, N = 4 SE +/- 0.014, N = 4 6.174 6.180 6.092 6.563 6.660 6.766 6.635 6.419 6.920 6.593 6.540 6.551 6.629 6.988 6.914 6.792 6.827 7.046 6.991 7.196
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Unpacking The Linux Kernel linux-4.15.tar.xz EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 Min: 6.13 / Avg: 6.17 / Max: 6.19 Min: 6.14 / Avg: 6.18 / Max: 6.23 Min: 6.04 / Avg: 6.09 / Max: 6.15 Min: 6.52 / Avg: 6.56 / Max: 6.62 Min: 6.59 / Avg: 6.66 / Max: 6.71 Min: 6.73 / Avg: 6.77 / Max: 6.82 Min: 6.63 / Avg: 6.64 / Max: 6.65 Min: 6.35 / Avg: 6.42 / Max: 6.46 Min: 6.87 / Avg: 6.92 / Max: 6.98 Min: 6.57 / Avg: 6.59 / Max: 6.63 Min: 6.46 / Avg: 6.54 / Max: 6.63 Min: 6.53 / Avg: 6.55 / Max: 6.59 Min: 6.59 / Avg: 6.63 / Max: 6.65 Min: 6.94 / Avg: 6.99 / Max: 7.07 Min: 6.83 / Avg: 6.91 / Max: 7.05 Min: 6.75 / Avg: 6.79 / Max: 6.82 Min: 6.77 / Avg: 6.83 / Max: 6.9 Min: 7 / Avg: 7.05 / Max: 7.1 Min: 6.93 / Avg: 6.99 / Max: 7.03 Min: 7.16 / Avg: 7.2 / Max: 7.22
GNU Octave Benchmark This test profile measures how long it takes to complete several reference GNU Octave files via octave-benchmark. GNU Octave is used for numerical computations and is an open-source alternative to MATLAB. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better GNU Octave Benchmark 5.2.0 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 2 4 6 8 10 SE +/- 0.022, N = 5 SE +/- 0.008, N = 5 SE +/- 0.029, N = 5 SE +/- 0.074, N = 5 SE +/- 0.056, N = 5 SE +/- 0.039, N = 5 SE +/- 0.028, N = 5 SE +/- 0.033, N = 5 SE +/- 0.018, N = 5 SE +/- 0.027, N = 5 SE +/- 0.017, N = 5 SE +/- 0.025, N = 5 SE +/- 0.075, N = 5 SE +/- 0.052, N = 5 SE +/- 0.007, N = 5 SE +/- 0.010, N = 5 SE +/- 0.043, N = 5 SE +/- 0.016, N = 5 SE +/- 0.028, N = 5 SE +/- 0.038, N = 5 7.982 7.538 7.447 8.674 8.541 8.704 8.579 8.246 8.524 8.313 8.322 8.381 8.357 8.777 8.288 8.439 8.515 8.145 8.529 8.718
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GNU Octave Benchmark 5.2.0 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 Min: 7.91 / Avg: 7.98 / Max: 8.04 Min: 7.52 / Avg: 7.54 / Max: 7.56 Min: 7.37 / Avg: 7.45 / Max: 7.55 Min: 8.54 / Avg: 8.67 / Max: 8.93 Min: 8.41 / Avg: 8.54 / Max: 8.68 Min: 8.62 / Avg: 8.7 / Max: 8.83 Min: 8.5 / Avg: 8.58 / Max: 8.64 Min: 8.17 / Avg: 8.25 / Max: 8.36 Min: 8.49 / Avg: 8.52 / Max: 8.59 Min: 8.26 / Avg: 8.31 / Max: 8.42 Min: 8.27 / Avg: 8.32 / Max: 8.37 Min: 8.3 / Avg: 8.38 / Max: 8.45 Min: 8.27 / Avg: 8.36 / Max: 8.66 Min: 8.65 / Avg: 8.78 / Max: 8.91 Min: 8.27 / Avg: 8.29 / Max: 8.31 Min: 8.41 / Avg: 8.44 / Max: 8.46 Min: 8.42 / Avg: 8.52 / Max: 8.61 Min: 8.09 / Avg: 8.14 / Max: 8.18 Min: 8.45 / Avg: 8.53 / Max: 8.62 Min: 8.63 / Avg: 8.72 / Max: 8.86
Java Gradle Build This test runs Java software project builds using the Gradle build system. It is intended to give developers an idea as to the build performance for development activities and build servers. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Java Gradle Build Gradle Build: Reactor EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 80 160 240 320 400 SE +/- 4.69, N = 4 SE +/- 2.59, N = 3 SE +/- 2.60, N = 3 SE +/- 5.38, N = 9 SE +/- 4.71, N = 9 SE +/- 2.49, N = 3 SE +/- 3.70, N = 7 SE +/- 4.91, N = 3 SE +/- 6.20, N = 9 SE +/- 5.14, N = 9 SE +/- 3.41, N = 9 SE +/- 5.74, N = 9 SE +/- 4.99, N = 3 SE +/- 5.13, N = 9 SE +/- 3.87, N = 3 SE +/- 6.11, N = 3 SE +/- 5.65, N = 9 SE +/- 6.72, N = 9 SE +/- 5.31, N = 3 SE +/- 2.73, N = 3 330.10 323.23 344.39 337.81 331.29 356.75 344.50 339.35 357.63 342.25 340.22 339.80 354.27 371.18 379.76 368.49 358.64 366.75 350.98 373.08
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Java Gradle Build Gradle Build: Reactor EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 70 140 210 280 350 Min: 320.17 / Avg: 330.1 / Max: 341.36 Min: 318.18 / Avg: 323.23 / Max: 326.76 Min: 339.25 / Avg: 344.39 / Max: 347.65 Min: 313.22 / Avg: 337.81 / Max: 361.29 Min: 313.98 / Avg: 331.29 / Max: 351.86 Min: 351.87 / Avg: 356.75 / Max: 360.05 Min: 331.32 / Avg: 344.5 / Max: 361.38 Min: 331.61 / Avg: 339.35 / Max: 348.44 Min: 327.79 / Avg: 357.63 / Max: 390.79 Min: 316.71 / Avg: 342.25 / Max: 361.76 Min: 319.89 / Avg: 340.21 / Max: 351.36 Min: 315.08 / Avg: 339.8 / Max: 372.17 Min: 344.4 / Avg: 354.27 / Max: 360.52 Min: 349.96 / Avg: 371.18 / Max: 391.88 Min: 372.45 / Avg: 379.76 / Max: 385.63 Min: 361.79 / Avg: 368.49 / Max: 380.7 Min: 343.49 / Avg: 358.64 / Max: 401.05 Min: 345.02 / Avg: 366.75 / Max: 408.84 Min: 340.37 / Avg: 350.98 / Max: 356.76 Min: 368.67 / Avg: 373.08 / Max: 378.08
DeepSpeech Mozilla DeepSpeech is a speech-to-text engine powered by TensorFlow for machine learning and derived from Baidu's Deep Speech research paper. This test profile times the speech-to-text process for a roughly three minute audio recording. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better DeepSpeech 0.6 Acceleration: CPU EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 20 40 60 80 100 SE +/- 0.23, N = 3 SE +/- 0.12, N = 3 SE +/- 0.06, N = 3 SE +/- 0.16, N = 3 SE +/- 0.26, N = 3 SE +/- 0.26, N = 3 SE +/- 0.18, N = 3 SE +/- 0.11, N = 3 SE +/- 0.25, N = 3 SE +/- 0.21, N = 3 SE +/- 0.04, N = 3 SE +/- 0.73, N = 3 SE +/- 0.16, N = 3 SE +/- 0.32, N = 3 SE +/- 0.12, N = 3 SE +/- 0.15, N = 3 SE +/- 0.24, N = 3 SE +/- 0.26, N = 3 SE +/- 0.24, N = 3 SE +/- 0.20, N = 3 72.53 73.89 74.97 80.03 79.63 79.51 80.39 80.78 81.75 81.52 81.26 81.98 81.57 82.28 81.86 83.08 81.99 84.60 83.99 82.18
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better DeepSpeech 0.6 Acceleration: CPU EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 16 32 48 64 80 Min: 72.07 / Avg: 72.53 / Max: 72.82 Min: 73.69 / Avg: 73.89 / Max: 74.1 Min: 74.89 / Avg: 74.97 / Max: 75.09 Min: 79.72 / Avg: 80.03 / Max: 80.26 Min: 79.24 / Avg: 79.63 / Max: 80.11 Min: 79.03 / Avg: 79.51 / Max: 79.93 Min: 80.14 / Avg: 80.39 / Max: 80.74 Min: 80.56 / Avg: 80.78 / Max: 80.91 Min: 81.37 / Avg: 81.75 / Max: 82.23 Min: 81.31 / Avg: 81.52 / Max: 81.94 Min: 81.19 / Avg: 81.26 / Max: 81.33 Min: 81.13 / Avg: 81.98 / Max: 83.42 Min: 81.27 / Avg: 81.57 / Max: 81.78 Min: 81.65 / Avg: 82.28 / Max: 82.63 Min: 81.69 / Avg: 81.86 / Max: 82.1 Min: 82.9 / Avg: 83.08 / Max: 83.37 Min: 81.63 / Avg: 81.99 / Max: 82.45 Min: 84.25 / Avg: 84.6 / Max: 85.12 Min: 83.55 / Avg: 83.99 / Max: 84.36 Min: 81.89 / Avg: 82.18 / Max: 82.56
Mlpack Benchmark Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_svm EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 7 14 21 28 35 SE +/- 0.30, N = 3 SE +/- 0.24, N = 3 SE +/- 0.18, N = 3 SE +/- 0.04, N = 3 SE +/- 0.11, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.21, N = 3 SE +/- 0.34, N = 3 SE +/- 0.24, N = 3 SE +/- 0.25, N = 3 SE +/- 0.26, N = 3 SE +/- 0.19, N = 3 SE +/- 0.16, N = 3 SE +/- 0.04, N = 3 SE +/- 0.24, N = 3 SE +/- 0.20, N = 3 SE +/- 0.11, N = 3 SE +/- 0.44, N = 3 SE +/- 0.06, N = 3 25.21 24.76 25.32 26.66 27.09 26.77 27.13 26.57 27.84 26.96 27.19 27.00 27.11 28.71 28.46 27.61 28.50 28.42 28.01 28.16
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_svm EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 6 12 18 24 30 Min: 24.89 / Avg: 25.21 / Max: 25.82 Min: 24.28 / Avg: 24.76 / Max: 25.03 Min: 24.99 / Avg: 25.32 / Max: 25.62 Min: 26.6 / Avg: 26.66 / Max: 26.73 Min: 26.96 / Avg: 27.09 / Max: 27.3 Min: 26.73 / Avg: 26.77 / Max: 26.81 Min: 27.12 / Avg: 27.13 / Max: 27.15 Min: 26.21 / Avg: 26.57 / Max: 26.95 Min: 27.29 / Avg: 27.84 / Max: 28.45 Min: 26.7 / Avg: 26.96 / Max: 27.44 Min: 26.69 / Avg: 27.19 / Max: 27.46 Min: 26.69 / Avg: 27 / Max: 27.52 Min: 26.81 / Avg: 27.11 / Max: 27.46 Min: 28.39 / Avg: 28.71 / Max: 28.87 Min: 28.39 / Avg: 28.46 / Max: 28.52 Min: 27.34 / Avg: 27.61 / Max: 28.08 Min: 28.13 / Avg: 28.5 / Max: 28.83 Min: 28.28 / Avg: 28.42 / Max: 28.64 Min: 27.53 / Avg: 28.01 / Max: 28.9 Min: 28.08 / Avg: 28.16 / Max: 28.28
WireGuard + Linux Networking Stack Stress Test This is a benchmark of the WireGuard secure VPN tunnel and Linux networking stack stress test. The test runs on the local host but does require root permissions to run. The way it works is it creates three namespaces. ns0 has a loopback device. ns1 and ns2 each have wireguard devices. Those two wireguard devices send traffic through the loopback device of ns0. The end result of this is that tests wind up testing encryption and decryption at the same time -- a pretty CPU and scheduler-heavy workflow. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better WireGuard + Linux Networking Stack Stress Test EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 70 140 210 280 350 SE +/- 0.66, N = 3 SE +/- 0.78, N = 3 SE +/- 0.50, N = 3 SE +/- 0.89, N = 3 SE +/- 0.69, N = 3 SE +/- 1.49, N = 3 SE +/- 0.73, N = 3 SE +/- 0.56, N = 3 SE +/- 0.89, N = 3 SE +/- 0.67, N = 3 SE +/- 0.73, N = 3 SE +/- 0.43, N = 3 SE +/- 0.15, N = 3 SE +/- 0.34, N = 3 SE +/- 0.59, N = 3 SE +/- 0.81, N = 3 SE +/- 2.14, N = 3 SE +/- 0.21, N = 3 SE +/- 1.33, N = 3 SE +/- 0.65, N = 3 295.26 298.47 308.52 336.92 339.37 337.00 336.45 323.34 334.67 325.26 328.27 325.66 327.87 337.30 329.31 312.18 316.06 335.95 330.05 323.28
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better WireGuard + Linux Networking Stack Stress Test EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 60 120 180 240 300 Min: 294.29 / Avg: 295.26 / Max: 296.51 Min: 297.17 / Avg: 298.47 / Max: 299.86 Min: 307.64 / Avg: 308.52 / Max: 309.36 Min: 335.33 / Avg: 336.92 / Max: 338.41 Min: 338.14 / Avg: 339.37 / Max: 340.54 Min: 335.1 / Avg: 337 / Max: 339.94 Min: 335.49 / Avg: 336.45 / Max: 337.89 Min: 322.33 / Avg: 323.34 / Max: 324.28 Min: 332.93 / Avg: 334.67 / Max: 335.9 Min: 324.12 / Avg: 325.26 / Max: 326.43 Min: 327.19 / Avg: 328.27 / Max: 329.67 Min: 324.97 / Avg: 325.66 / Max: 326.46 Min: 327.57 / Avg: 327.87 / Max: 328.02 Min: 336.62 / Avg: 337.3 / Max: 337.69 Min: 328.38 / Avg: 329.31 / Max: 330.4 Min: 310.68 / Avg: 312.18 / Max: 313.44 Min: 312.44 / Avg: 316.06 / Max: 319.84 Min: 335.53 / Avg: 335.95 / Max: 336.24 Min: 328.14 / Avg: 330.05 / Max: 332.6 Min: 322.49 / Avg: 323.28 / Max: 324.58
KeyDB A benchmark of KeyDB as a multi-threaded fork of the Redis server. The KeyDB benchmark is conducted using memtier-benchmark. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Ops/sec, More Is Better KeyDB 6.0.16 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 90K 180K 270K 360K 450K SE +/- 3714.55, N = 3 SE +/- 228.49, N = 3 SE +/- 1594.87, N = 3 SE +/- 3410.42, N = 3 SE +/- 4239.95, N = 3 SE +/- 624.20, N = 3 SE +/- 4342.59, N = 7 SE +/- 894.11, N = 3 SE +/- 775.34, N = 3 SE +/- 1851.69, N = 3 SE +/- 649.38, N = 3 SE +/- 1062.02, N = 3 SE +/- 1405.58, N = 3 SE +/- 1968.81, N = 3 SE +/- 163.65, N = 3 SE +/- 5702.08, N = 3 SE +/- 245.66, N = 3 SE +/- 238.26, N = 3 SE +/- 464.04, N = 3 SE +/- 866.86, N = 3 429753.65 424009.46 414532.34 375509.38 378118.38 381667.96 388353.93 412566.04 392401.63 407511.61 407869.99 409267.14 401582.89 388111.09 395467.10 396399.81 406178.39 386383.91 392714.19 392896.66 1. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
Result Confidence
OpenBenchmarking.org Ops/sec, More Is Better KeyDB 6.0.16 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 70K 140K 210K 280K 350K Min: 422340.89 / Avg: 429753.65 / Max: 433886.45 Min: 423604.94 / Avg: 424009.46 / Max: 424395.83 Min: 411360.53 / Avg: 414532.34 / Max: 416410.71 Min: 369830.03 / Avg: 375509.38 / Max: 381620.4 Min: 369640.72 / Avg: 378118.38 / Max: 382526.37 Min: 380946.41 / Avg: 381667.96 / Max: 382911 Min: 375060.11 / Avg: 388353.93 / Max: 407696.35 Min: 411317.97 / Avg: 412566.04 / Max: 414299.14 Min: 390868.32 / Avg: 392401.63 / Max: 393368.67 Min: 404800.22 / Avg: 407511.61 / Max: 411051.91 Min: 406670.05 / Avg: 407869.99 / Max: 408900.3 Min: 407505.43 / Avg: 409267.14 / Max: 411175.58 Min: 399456.17 / Avg: 401582.89 / Max: 404238.35 Min: 384323.04 / Avg: 388111.09 / Max: 390936.05 Min: 395226.4 / Avg: 395467.1 / Max: 395779.53 Min: 386344.47 / Avg: 396399.81 / Max: 406086.74 Min: 405819.18 / Avg: 406178.39 / Max: 406648.29 Min: 386087.82 / Avg: 386383.91 / Max: 386855.3 Min: 391930.7 / Avg: 392714.19 / Max: 393536.77 Min: 391575.63 / Avg: 392896.66 / Max: 394529.54 1. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
Polyhedron Fortran Benchmarks The Fortran.uk Polyhedron Fortran Benchmarks for comparing Fortran compiler performance. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Polyhedron Fortran Benchmarks Benchmark: linpk EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 0.819 1.638 2.457 3.276 4.095 3.31 3.26 3.20 3.36 3.42 3.38 3.41 3.34 3.42 3.34 3.34 3.36 3.35 3.42 3.36 3.35 3.37 3.29 3.40 3.64
IOR IOR is a parallel I/O storage benchmark. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org MB/s, More Is Better IOR 3.2.1 Read Test EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 300 600 900 1200 1500 SE +/- 4.02, N = 4 SE +/- 0.89, N = 3 SE +/- 4.00, N = 3 SE +/- 1.57, N = 3 SE +/- 4.53, N = 3 SE +/- 4.79, N = 3 SE +/- 5.24, N = 3 SE +/- 2.27, N = 4 SE +/- 1.74, N = 3 SE +/- 6.68, N = 3 SE +/- 3.37, N = 3 SE +/- 4.02, N = 3 SE +/- 13.63, N = 3 SE +/- 10.99, N = 3 SE +/- 5.32, N = 3 SE +/- 7.74, N = 3 SE +/- 3.19, N = 8 SE +/- 2.40, N = 3 SE +/- 2.85, N = 6 SE +/- 10.23, N = 3 1430.76 1441.84 1428.03 1368.83 1364.10 1366.25 1375.56 1375.99 1376.68 1388.23 1374.08 1371.83 1381.42 1367.38 1384.18 1414.50 1404.94 1373.93 1383.61 1380.05 1. (CC) gcc options: -O2 -lm -pthread -lmpi
Result Confidence
OpenBenchmarking.org MB/s, More Is Better IOR 3.2.1 Read Test EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 300 600 900 1200 1500 Min: 1420.34 / Avg: 1430.76 / Max: 1438.03 Min: 1440.07 / Avg: 1441.84 / Max: 1442.9 Min: 1421.68 / Avg: 1428.03 / Max: 1435.43 Min: 1365.99 / Avg: 1368.83 / Max: 1371.39 Min: 1358.12 / Avg: 1364.1 / Max: 1372.98 Min: 1359.5 / Avg: 1366.25 / Max: 1375.51 Min: 1365.53 / Avg: 1375.56 / Max: 1383.22 Min: 1371.46 / Avg: 1375.99 / Max: 1382.01 Min: 1374.18 / Avg: 1376.68 / Max: 1380.03 Min: 1377.18 / Avg: 1388.23 / Max: 1400.25 Min: 1367.62 / Avg: 1374.08 / Max: 1378.99 Min: 1366.21 / Avg: 1371.83 / Max: 1379.62 Min: 1362.62 / Avg: 1381.42 / Max: 1407.92 Min: 1350.9 / Avg: 1367.38 / Max: 1388.21 Min: 1377.73 / Avg: 1384.18 / Max: 1394.73 Min: 1399.32 / Avg: 1414.5 / Max: 1424.68 Min: 1389.1 / Avg: 1404.94 / Max: 1417.09 Min: 1369.63 / Avg: 1373.93 / Max: 1377.93 Min: 1374.16 / Avg: 1383.61 / Max: 1393.03 Min: 1360.55 / Avg: 1380.05 / Max: 1395.18 1. (CC) gcc options: -O2 -lm -pthread -lmpi
LAMMPS Molecular Dynamics Simulator LAMMPS is a classical molecular dynamics code, and an acronym for Large-scale Atomic/Molecular Massively Parallel Simulator. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ns/day, More Is Better LAMMPS Molecular Dynamics Simulator 29Oct2020 Model: Rhodopsin Protein EPYC 7F52 EPYC 7542 EPYC 7532 EPYC 7502 EPYC 7452 EPYC 7352 EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 4 8 12 16 20 SE +/- 0.041, N = 3 SE +/- 0.264, N = 15 SE +/- 0.103, N = 15 SE +/- 0.168, N = 3 SE +/- 0.271, N = 14 SE +/- 0.106, N = 8 SE +/- 0.094, N = 3 SE +/- 0.119, N = 15 SE +/- 0.113, N = 15 SE +/- 0.099, N = 12 8.892 14.359 13.605 13.535 14.569 10.132 7.218 5.854 4.288 4.118 1. (CXX) g++ options: -O3 -pthread -lm
Result Confidence
OpenBenchmarking.org ns/day, More Is Better LAMMPS Molecular Dynamics Simulator 29Oct2020 Model: Rhodopsin Protein EPYC 7F52 EPYC 7542 EPYC 7532 EPYC 7502 EPYC 7452 EPYC 7352 EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 4 8 12 16 20 Min: 8.83 / Avg: 8.89 / Max: 8.97 Min: 13.64 / Avg: 14.36 / Max: 16.59 Min: 13.17 / Avg: 13.6 / Max: 14.89 Min: 13.28 / Avg: 13.53 / Max: 13.85 Min: 12.88 / Avg: 14.57 / Max: 16.27 Min: 9.86 / Avg: 10.13 / Max: 10.7 Min: 7.06 / Avg: 7.22 / Max: 7.39 Min: 5.46 / Avg: 5.85 / Max: 7.34 Min: 4 / Avg: 4.29 / Max: 5.54 Min: 3.78 / Avg: 4.12 / Max: 4.65 1. (CXX) g++ options: -O3 -pthread -lm
Sunflow Rendering System This test runs benchmarks of the Sunflow Rendering System. The Sunflow Rendering System is an open-source render engine for photo-realistic image synthesis with a ray-tracing core. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Sunflow Rendering System 0.07.2 Global Illumination + Image Synthesis EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 0.3528 0.7056 1.0584 1.4112 1.764 SE +/- 0.009, N = 15 SE +/- 0.014, N = 15 SE +/- 0.021, N = 15 SE +/- 0.009, N = 4 SE +/- 0.007, N = 3 SE +/- 0.007, N = 15 SE +/- 0.007, N = 15 SE +/- 0.008, N = 15 SE +/- 0.009, N = 3 SE +/- 0.004, N = 3 SE +/- 0.009, N = 3 SE +/- 0.008, N = 3 SE +/- 0.008, N = 15 SE +/- 0.009, N = 15 SE +/- 0.013, N = 15 SE +/- 0.011, N = 6 SE +/- 0.021, N = 15 SE +/- 0.032, N = 12 SE +/- 0.029, N = 15 SE +/- 0.028, N = 15 0.699 0.862 1.421 0.682 0.701 0.644 0.653 0.655 0.721 0.688 0.688 0.686 0.753 0.801 0.932 0.920 1.123 1.568 1.567 1.560
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Sunflow Rendering System 0.07.2 Global Illumination + Image Synthesis EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 2 4 6 8 10 Min: 0.64 / Avg: 0.7 / Max: 0.77 Min: 0.74 / Avg: 0.86 / Max: 0.93 Min: 1.29 / Avg: 1.42 / Max: 1.6 Min: 0.66 / Avg: 0.68 / Max: 0.7 Min: 0.69 / Avg: 0.7 / Max: 0.72 Min: 0.6 / Avg: 0.64 / Max: 0.69 Min: 0.6 / Avg: 0.65 / Max: 0.71 Min: 0.61 / Avg: 0.65 / Max: 0.71 Min: 0.7 / Avg: 0.72 / Max: 0.73 Min: 0.68 / Avg: 0.69 / Max: 0.69 Min: 0.67 / Avg: 0.69 / Max: 0.7 Min: 0.67 / Avg: 0.69 / Max: 0.69 Min: 0.7 / Avg: 0.75 / Max: 0.81 Min: 0.75 / Avg: 0.8 / Max: 0.87 Min: 0.81 / Avg: 0.93 / Max: 1.03 Min: 0.88 / Avg: 0.92 / Max: 0.95 Min: 1.04 / Avg: 1.12 / Max: 1.3 Min: 1.43 / Avg: 1.57 / Max: 1.86 Min: 1.41 / Avg: 1.57 / Max: 1.82 Min: 1.4 / Avg: 1.56 / Max: 1.76
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: blazeface EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 SE +/- 0.07, N = 3 SE +/- 0.04, N = 10 SE +/- 0.03, N = 3 SE +/- 0.47, N = 3 SE +/- 0.34, N = 3 SE +/- 0.31, N = 3 SE +/- 0.42, N = 3 SE +/- 0.01, N = 8 SE +/- 0.17, N = 3 SE +/- 0.17, N = 3 SE +/- 0.07, N = 12 SE +/- 0.08, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 15 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.13, N = 15 SE +/- 0.04, N = 4 4.12 3.65 2.96 9.78 7.84 6.43 6.33 4.07 5.02 4.32 4.30 4.23 3.66 4.31 3.67 3.12 3.35 3.19 3.30 3.20 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: blazeface EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 Min: 4.04 / Avg: 4.12 / Max: 4.26 Min: 3.46 / Avg: 3.65 / Max: 3.97 Min: 2.93 / Avg: 2.96 / Max: 3.01 Min: 8.84 / Avg: 9.78 / Max: 10.35 Min: 7.38 / Avg: 7.84 / Max: 8.51 Min: 5.83 / Avg: 6.43 / Max: 6.88 Min: 5.76 / Avg: 6.33 / Max: 7.16 Min: 4.04 / Avg: 4.07 / Max: 4.1 Min: 4.8 / Avg: 5.02 / Max: 5.35 Min: 4.05 / Avg: 4.32 / Max: 4.63 Min: 4.06 / Avg: 4.3 / Max: 4.68 Min: 4.14 / Avg: 4.23 / Max: 4.39 Min: 3.64 / Avg: 3.66 / Max: 3.7 Min: 4.19 / Avg: 4.31 / Max: 4.63 Min: 3.63 / Avg: 3.67 / Max: 3.69 Min: 3.1 / Avg: 3.12 / Max: 3.15 Min: 3.25 / Avg: 3.35 / Max: 3.41 Min: 3.17 / Avg: 3.19 / Max: 3.22 Min: 3.04 / Avg: 3.3 / Max: 5.02 Min: 3.1 / Avg: 3.2 / Max: 3.26 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: efficientnet-b0 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 7 14 21 28 35 SE +/- 0.08, N = 3 SE +/- 0.06, N = 10 SE +/- 0.13, N = 3 SE +/- 1.87, N = 3 SE +/- 1.57, N = 3 SE +/- 0.32, N = 3 SE +/- 1.64, N = 3 SE +/- 0.13, N = 8 SE +/- 0.41, N = 3 SE +/- 0.53, N = 3 SE +/- 0.25, N = 12 SE +/- 0.35, N = 3 SE +/- 0.02, N = 3 SE +/- 0.10, N = 15 SE +/- 0.14, N = 3 SE +/- 0.06, N = 3 SE +/- 0.14, N = 3 SE +/- 0.08, N = 3 SE +/- 0.11, N = 15 SE +/- 0.07, N = 4 11.88 11.13 10.32 31.36 25.61 19.15 19.71 12.12 15.71 12.96 13.03 12.62 10.67 13.17 11.06 9.20 11.30 11.02 11.81 12.46 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: efficientnet-b0 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 7 14 21 28 35 Min: 11.74 / Avg: 11.88 / Max: 12.02 Min: 10.85 / Avg: 11.13 / Max: 11.43 Min: 10.15 / Avg: 10.32 / Max: 10.58 Min: 28.68 / Avg: 31.36 / Max: 34.96 Min: 23.45 / Avg: 25.61 / Max: 28.65 Min: 18.51 / Avg: 19.15 / Max: 19.55 Min: 17.57 / Avg: 19.71 / Max: 22.93 Min: 11.88 / Avg: 12.12 / Max: 12.99 Min: 15.22 / Avg: 15.71 / Max: 16.53 Min: 11.95 / Avg: 12.96 / Max: 13.73 Min: 11.97 / Avg: 13.03 / Max: 14.35 Min: 12.23 / Avg: 12.62 / Max: 13.31 Min: 10.65 / Avg: 10.67 / Max: 10.72 Min: 12.46 / Avg: 13.17 / Max: 13.76 Min: 10.85 / Avg: 11.06 / Max: 11.34 Min: 9.12 / Avg: 9.2 / Max: 9.32 Min: 11.05 / Avg: 11.3 / Max: 11.55 Min: 10.9 / Avg: 11.02 / Max: 11.16 Min: 11.3 / Avg: 11.81 / Max: 12.57 Min: 12.33 / Avg: 12.46 / Max: 12.67 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: mnasnet EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 6 12 18 24 30 SE +/- 0.15, N = 3 SE +/- 0.06, N = 10 SE +/- 0.14, N = 3 SE +/- 1.69, N = 3 SE +/- 2.95, N = 3 SE +/- 0.20, N = 3 SE +/- 1.60, N = 3 SE +/- 0.17, N = 8 SE +/- 0.46, N = 3 SE +/- 0.32, N = 2 SE +/- 0.18, N = 12 SE +/- 0.15, N = 3 SE +/- 0.06, N = 3 SE +/- 0.10, N = 15 SE +/- 0.25, N = 3 SE +/- 0.06, N = 3 SE +/- 0.11, N = 3 SE +/- 0.09, N = 3 SE +/- 0.10, N = 15 SE +/- 0.03, N = 4 9.32 8.49 7.30 26.02 21.46 15.02 17.06 9.34 11.63 9.35 9.98 9.41 8.13 9.83 8.10 6.84 7.71 7.81 8.10 8.49 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: mnasnet EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 6 12 18 24 30 Min: 9.12 / Avg: 9.32 / Max: 9.62 Min: 8.21 / Avg: 8.49 / Max: 8.76 Min: 7.08 / Avg: 7.3 / Max: 7.55 Min: 22.65 / Avg: 26.02 / Max: 27.89 Min: 17.43 / Avg: 21.46 / Max: 27.22 Min: 14.65 / Avg: 15.02 / Max: 15.34 Min: 14.96 / Avg: 17.06 / Max: 20.19 Min: 8.9 / Avg: 9.34 / Max: 10.14 Min: 11.07 / Avg: 11.63 / Max: 12.54 Min: 9.03 / Avg: 9.35 / Max: 9.66 Min: 9.11 / Avg: 9.98 / Max: 10.92 Min: 9.22 / Avg: 9.41 / Max: 9.71 Min: 8.03 / Avg: 8.13 / Max: 8.25 Min: 9.41 / Avg: 9.83 / Max: 10.84 Min: 7.62 / Avg: 8.1 / Max: 8.48 Min: 6.76 / Avg: 6.84 / Max: 6.95 Min: 7.5 / Avg: 7.71 / Max: 7.87 Min: 7.63 / Avg: 7.81 / Max: 7.92 Min: 7.49 / Avg: 8.1 / Max: 8.71 Min: 8.4 / Avg: 8.49 / Max: 8.54 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: shufflenet-v2 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 6 12 18 24 30 SE +/- 0.02, N = 3 SE +/- 0.18, N = 10 SE +/- 0.01, N = 2 SE +/- 2.54, N = 3 SE +/- 1.73, N = 3 SE +/- 0.92, N = 3 SE +/- 0.98, N = 3 SE +/- 0.13, N = 8 SE +/- 0.97, N = 3 SE +/- 0.91, N = 3 SE +/- 0.18, N = 12 SE +/- 0.17, N = 3 SE +/- 0.10, N = 3 SE +/- 0.10, N = 15 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.30, N = 2 SE +/- 0.10, N = 3 SE +/- 0.06, N = 15 SE +/- 0.17, N = 4 9.92 9.53 7.76 25.16 21.77 16.83 18.38 10.48 14.43 10.96 11.15 10.28 9.09 10.84 9.14 8.03 8.60 8.60 8.16 8.36 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: shufflenet-v2 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 6 12 18 24 30 Min: 9.88 / Avg: 9.92 / Max: 9.95 Min: 8.94 / Avg: 9.53 / Max: 10.51 Min: 7.75 / Avg: 7.76 / Max: 7.77 Min: 21.38 / Avg: 25.16 / Max: 30 Min: 19.2 / Avg: 21.77 / Max: 25.06 Min: 15.43 / Avg: 16.83 / Max: 18.57 Min: 16.55 / Avg: 18.38 / Max: 19.89 Min: 9.97 / Avg: 10.48 / Max: 11.14 Min: 12.87 / Avg: 14.43 / Max: 16.2 Min: 9.99 / Avg: 10.96 / Max: 12.79 Min: 10.02 / Avg: 11.15 / Max: 11.93 Min: 9.94 / Avg: 10.28 / Max: 10.48 Min: 8.92 / Avg: 9.09 / Max: 9.27 Min: 10.18 / Avg: 10.84 / Max: 11.53 Min: 9.03 / Avg: 9.14 / Max: 9.27 Min: 7.98 / Avg: 8.03 / Max: 8.07 Min: 8.3 / Avg: 8.6 / Max: 8.89 Min: 8.43 / Avg: 8.6 / Max: 8.76 Min: 7.92 / Avg: 8.16 / Max: 8.77 Min: 7.94 / Avg: 8.36 / Max: 8.69 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU-v3-v3 - Model: mobilenet-v3 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 6 12 18 24 30 SE +/- 0.02, N = 3 SE +/- 0.11, N = 10 SE +/- 0.09, N = 3 SE +/- 1.63, N = 3 SE +/- 2.05, N = 3 SE +/- 0.33, N = 3 SE +/- 1.62, N = 3 SE +/- 0.12, N = 8 SE +/- 0.36, N = 3 SE +/- 0.65, N = 3 SE +/- 0.19, N = 12 SE +/- 0.08, N = 3 SE +/- 0.07, N = 3 SE +/- 0.07, N = 15 SE +/- 0.04, N = 3 SE +/- 0.07, N = 3 SE +/- 0.13, N = 3 SE +/- 0.02, N = 3 SE +/- 0.08, N = 15 SE +/- 0.14, N = 4 9.41 8.90 7.42 27.15 21.05 15.40 15.95 9.81 12.08 10.49 10.55 9.98 8.47 10.21 8.63 7.49 8.19 7.99 8.18 8.97 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU-v3-v3 - Model: mobilenet-v3 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 6 12 18 24 30 Min: 9.38 / Avg: 9.41 / Max: 9.44 Min: 8.5 / Avg: 8.9 / Max: 9.63 Min: 7.29 / Avg: 7.42 / Max: 7.6 Min: 24.31 / Avg: 27.15 / Max: 29.96 Min: 18.92 / Avg: 21.05 / Max: 25.14 Min: 14.75 / Avg: 15.4 / Max: 15.81 Min: 13.9 / Avg: 15.95 / Max: 19.15 Min: 9.46 / Avg: 9.81 / Max: 10.52 Min: 11.64 / Avg: 12.08 / Max: 12.79 Min: 9.56 / Avg: 10.49 / Max: 11.73 Min: 9.71 / Avg: 10.55 / Max: 11.45 Min: 9.84 / Avg: 9.98 / Max: 10.1 Min: 8.35 / Avg: 8.47 / Max: 8.59 Min: 9.69 / Avg: 10.21 / Max: 10.69 Min: 8.59 / Avg: 8.63 / Max: 8.7 Min: 7.39 / Avg: 7.49 / Max: 7.62 Min: 8.03 / Avg: 8.19 / Max: 8.44 Min: 7.96 / Avg: 7.99 / Max: 8.03 Min: 7.84 / Avg: 8.18 / Max: 8.92 Min: 8.58 / Avg: 8.97 / Max: 9.25 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU-v2-v2 - Model: mobilenet-v2 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 6 12 18 24 30 SE +/- 0.21, N = 3 SE +/- 3.21, N = 10 SE +/- 0.36, N = 3 SE +/- 1.38, N = 3 SE +/- 3.02, N = 3 SE +/- 0.63, N = 3 SE +/- 1.97, N = 3 SE +/- 0.11, N = 8 SE +/- 0.33, N = 3 SE +/- 0.49, N = 3 SE +/- 0.19, N = 12 SE +/- 0.02, N = 3 SE +/- 0.26, N = 3 SE +/- 0.11, N = 15 SE +/- 0.29, N = 3 SE +/- 0.08, N = 3 SE +/- 0.13, N = 3 SE +/- 0.15, N = 3 SE +/- 0.09, N = 15 SE +/- 0.09, N = 4 9.96 12.40 8.29 26.55 22.90 16.18 16.41 10.07 12.63 10.75 10.61 10.31 9.01 10.64 9.12 7.77 8.66 9.07 8.96 9.32 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU-v2-v2 - Model: mobilenet-v2 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 6 12 18 24 30 Min: 9.67 / Avg: 9.96 / Max: 10.38 Min: 8.85 / Avg: 12.4 / Max: 41.24 Min: 7.87 / Avg: 8.29 / Max: 9 Min: 24.45 / Avg: 26.55 / Max: 29.15 Min: 18.49 / Avg: 22.9 / Max: 28.67 Min: 15.13 / Avg: 16.18 / Max: 17.32 Min: 14.24 / Avg: 16.41 / Max: 20.35 Min: 9.82 / Avg: 10.07 / Max: 10.75 Min: 12.01 / Avg: 12.63 / Max: 13.15 Min: 9.87 / Avg: 10.75 / Max: 11.57 Min: 9.95 / Avg: 10.61 / Max: 11.74 Min: 10.28 / Avg: 10.31 / Max: 10.33 Min: 8.53 / Avg: 9.01 / Max: 9.42 Min: 10.08 / Avg: 10.64 / Max: 11.35 Min: 8.6 / Avg: 9.12 / Max: 9.61 Min: 7.68 / Avg: 7.77 / Max: 7.94 Min: 8.51 / Avg: 8.66 / Max: 8.91 Min: 8.9 / Avg: 9.07 / Max: 9.37 Min: 8.64 / Avg: 8.96 / Max: 9.88 Min: 9.17 / Avg: 9.32 / Max: 9.52 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Mobile Neural Network MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by ALibaba. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: SqueezeNetV1.0 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 3 6 9 12 15 SE +/- 0.263, N = 15 SE +/- 0.377, N = 15 SE +/- 0.082, N = 3 SE +/- 0.244, N = 12 SE +/- 0.188, N = 15 SE +/- 0.145, N = 3 SE +/- 0.300, N = 15 SE +/- 0.188, N = 12 SE +/- 0.175, N = 15 SE +/- 0.050, N = 3 SE +/- 0.301, N = 12 SE +/- 0.188, N = 15 SE +/- 0.122, N = 15 SE +/- 0.130, N = 15 SE +/- 0.201, N = 3 SE +/- 0.144, N = 3 SE +/- 0.168, N = 12 SE +/- 0.100, N = 3 SE +/- 0.125, N = 3 SE +/- 0.174, N = 12 9.930 11.454 10.034 10.193 10.048 9.173 10.125 8.802 10.073 9.489 9.300 9.113 10.000 10.433 11.608 10.345 12.611 11.122 11.582 11.859 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: SqueezeNetV1.0 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 4 8 12 16 20 Min: 8.95 / Avg: 9.93 / Max: 13.23 Min: 9.93 / Avg: 11.45 / Max: 15.85 Min: 9.93 / Avg: 10.03 / Max: 10.2 Min: 9.1 / Avg: 10.19 / Max: 11.94 Min: 8.94 / Avg: 10.05 / Max: 11.4 Min: 8.88 / Avg: 9.17 / Max: 9.33 Min: 8.73 / Avg: 10.12 / Max: 12.48 Min: 7.85 / Avg: 8.8 / Max: 10.38 Min: 9.24 / Avg: 10.07 / Max: 11.28 Min: 9.42 / Avg: 9.49 / Max: 9.59 Min: 8.31 / Avg: 9.3 / Max: 11.87 Min: 8.35 / Avg: 9.11 / Max: 11.28 Min: 9.38 / Avg: 10 / Max: 10.74 Min: 9.2 / Avg: 10.43 / Max: 11.2 Min: 11.21 / Avg: 11.61 / Max: 11.81 Min: 10.08 / Avg: 10.34 / Max: 10.57 Min: 11.71 / Avg: 12.61 / Max: 13.62 Min: 10.97 / Avg: 11.12 / Max: 11.31 Min: 11.4 / Avg: 11.58 / Max: 11.82 Min: 10.97 / Avg: 11.86 / Max: 13.05 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
Stress-NG Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: CPU Cache EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 12 24 36 48 60 SE +/- 0.71, N = 5 SE +/- 0.92, N = 15 SE +/- 0.30, N = 3 SE +/- 1.36, N = 12 SE +/- 1.58, N = 15 SE +/- 0.56, N = 8 SE +/- 0.76, N = 15 SE +/- 1.07, N = 15 SE +/- 1.01, N = 12 SE +/- 0.99, N = 15 SE +/- 0.74, N = 15 SE +/- 0.77, N = 15 SE +/- 0.28, N = 3 SE +/- 0.99, N = 15 SE +/- 1.19, N = 12 SE +/- 0.51, N = 3 SE +/- 0.79, N = 12 SE +/- 0.95, N = 12 SE +/- 0.72, N = 12 SE +/- 0.86, N = 15 52.73 44.35 28.22 47.28 42.79 54.44 52.98 47.18 52.64 47.32 46.84 45.93 42.09 37.54 34.01 29.72 23.41 23.24 19.77 44.50 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
Result Confidence
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: CPU Cache EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 11 22 33 44 55 Min: 51.28 / Avg: 52.73 / Max: 54.81 Min: 38.89 / Avg: 44.35 / Max: 51.16 Min: 27.66 / Avg: 28.22 / Max: 28.7 Min: 41.69 / Avg: 47.28 / Max: 59.34 Min: 35.13 / Avg: 42.79 / Max: 56.7 Min: 52.63 / Avg: 54.44 / Max: 57.73 Min: 48.06 / Avg: 52.98 / Max: 58.56 Min: 38.21 / Avg: 47.18 / Max: 52.07 Min: 47.11 / Avg: 52.64 / Max: 58.36 Min: 37.01 / Avg: 47.32 / Max: 53.3 Min: 42.17 / Avg: 46.84 / Max: 52.54 Min: 40.11 / Avg: 45.93 / Max: 50.14 Min: 41.72 / Avg: 42.09 / Max: 42.65 Min: 29.32 / Avg: 37.54 / Max: 42.21 Min: 26.12 / Avg: 34.01 / Max: 42.02 Min: 28.72 / Avg: 29.72 / Max: 30.36 Min: 20.23 / Avg: 23.41 / Max: 28.7 Min: 19.86 / Avg: 23.24 / Max: 30.23 Min: 17.06 / Avg: 19.77 / Max: 25.36 Min: 39.8 / Avg: 44.5 / Max: 49.5 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
PostgreSQL pgbench This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 250 - Mode: Read Write - Average Latency EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 30 60 90 120 150 SE +/- 1.58, N = 3 SE +/- 0.86, N = 3 SE +/- 1.93, N = 3 SE +/- 2.83, N = 15 SE +/- 1.98, N = 15 SE +/- 2.47, N = 15 SE +/- 2.47, N = 15 SE +/- 2.61, N = 15 SE +/- 2.07, N = 15 SE +/- 2.71, N = 15 SE +/- 1.65, N = 3 SE +/- 1.33, N = 15 SE +/- 2.01, N = 15 SE +/- 1.63, N = 3 SE +/- 1.17, N = 15 SE +/- 1.88, N = 3 SE +/- 1.73, N = 5 SE +/- 0.72, N = 3 SE +/- 0.62, N = 3 SE +/- 1.60, N = 6 110.51 107.63 125.79 138.78 138.60 143.36 139.95 141.16 146.03 141.89 136.46 138.20 144.79 141.08 138.33 124.81 135.07 151.17 133.66 140.05 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 250 - Mode: Read Write - Average Latency EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 30 60 90 120 150 Min: 108.42 / Avg: 110.51 / Max: 113.6 Min: 106.19 / Avg: 107.63 / Max: 109.17 Min: 123.73 / Avg: 125.79 / Max: 129.66 Min: 124.21 / Avg: 138.77 / Max: 163.33 Min: 127.6 / Avg: 138.6 / Max: 154.28 Min: 130.15 / Avg: 143.36 / Max: 167.38 Min: 125.42 / Avg: 139.95 / Max: 155.81 Min: 122.96 / Avg: 141.16 / Max: 156.42 Min: 127.95 / Avg: 146.03 / Max: 161.11 Min: 126.74 / Avg: 141.89 / Max: 162.45 Min: 133.23 / Avg: 136.46 / Max: 138.66 Min: 127.33 / Avg: 138.2 / Max: 146.64 Min: 133.15 / Avg: 144.79 / Max: 158.57 Min: 138.87 / Avg: 141.08 / Max: 144.27 Min: 130.88 / Avg: 138.33 / Max: 148.14 Min: 121.19 / Avg: 124.81 / Max: 127.53 Min: 129.68 / Avg: 135.07 / Max: 138.4 Min: 149.88 / Avg: 151.17 / Max: 152.37 Min: 132.72 / Avg: 133.66 / Max: 134.82 Min: 135.25 / Avg: 140.05 / Max: 146.18 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 250 - Mode: Read Write EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 500 1000 1500 2000 2500 SE +/- 32.03, N = 3 SE +/- 18.48, N = 3 SE +/- 30.14, N = 3 SE +/- 34.92, N = 15 SE +/- 25.74, N = 15 SE +/- 28.60, N = 15 SE +/- 31.83, N = 15 SE +/- 33.34, N = 15 SE +/- 24.97, N = 15 SE +/- 33.17, N = 15 SE +/- 22.59, N = 3 SE +/- 17.58, N = 15 SE +/- 23.93, N = 15 SE +/- 20.43, N = 3 SE +/- 15.02, N = 15 SE +/- 30.54, N = 3 SE +/- 24.02, N = 5 SE +/- 7.91, N = 3 SE +/- 8.60, N = 3 SE +/- 20.26, N = 6 2266 2325 1989 1817 1814 1755 1798 1782 1719 1773 1835 1814 1733 1775 1811 2006 1854 1655 1871 1787 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result Confidence
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 250 - Mode: Read Write EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 400 800 1200 1600 2000 Min: 2203.22 / Avg: 2265.83 / Max: 2308.87 Min: 2292.23 / Avg: 2324.96 / Max: 2356.2 Min: 1929.03 / Avg: 1989.26 / Max: 2021.6 Min: 1536.79 / Avg: 1817.28 / Max: 2018.42 Min: 1625.63 / Avg: 1814.23 / Max: 1963.69 Min: 1496.68 / Avg: 1754.82 / Max: 1925.71 Min: 1608.03 / Avg: 1798.43 / Max: 1997.87 Min: 1600.62 / Avg: 1782.32 / Max: 2036.36 Min: 1554.13 / Avg: 1719.48 / Max: 1956.56 Min: 1541.54 / Avg: 1773.47 / Max: 1975.34 Min: 1805.6 / Avg: 1835.48 / Max: 1879.78 Min: 1707.86 / Avg: 1814.13 / Max: 1966.47 Min: 1578 / Avg: 1733.28 / Max: 1879.86 Min: 1735.14 / Avg: 1774.96 / Max: 1802.83 Min: 1688.93 / Avg: 1810.62 / Max: 1911.59 Min: 1962.23 / Avg: 2005.65 / Max: 2064.57 Min: 1807.76 / Avg: 1853.51 / Max: 1929.21 Min: 1641.56 / Avg: 1654.73 / Max: 1668.9 Min: 1855.25 / Avg: 1871.36 / Max: 1884.64 Min: 1710.92 / Avg: 1787.13 / Max: 1849.3 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
ASKAP This is a CUDA benchmark of ATNF's ASKAP Benchmark with currently using the tConvolveCuda sub-test. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 2018-11-10 Test: tConvolve OpenMP - Gridding EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 1500 3000 4500 6000 7500 SE +/- 0.00, N = 3 SE +/- 18.37, N = 3 SE +/- 47.68, N = 15 SE +/- 111.01, N = 3 SE +/- 56.89, N = 3 SE +/- 71.03, N = 3 SE +/- 64.05, N = 15 SE +/- 57.19, N = 15 SE +/- 102.07, N = 15 SE +/- 53.07, N = 15 SE +/- 52.78, N = 3 SE +/- 75.78, N = 15 SE +/- 31.38, N = 3 SE +/- 43.40, N = 3 SE +/- 39.18, N = 3 SE +/- 61.39, N = 15 SE +/- 23.67, N = 3 SE +/- 36.60, N = 15 SE +/- 18.28, N = 15 SE +/- 21.86, N = 15 6339.43 3840.41 2241.57 6605.06 6770.19 5362.77 5300.22 4503.71 4255.18 4472.15 4618.38 4433.06 3804.17 3631.81 3429.08 2536.42 2336.06 2244.31 2035.81 1963.31 1. (CXX) g++ options: -lpthread
Result Confidence
OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 2018-11-10 Test: tConvolve OpenMP - Gridding EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 1200 2400 3600 4800 6000 Min: 6339.43 / Avg: 6339.43 / Max: 6339.43 Min: 3803.66 / Avg: 3840.41 / Max: 3858.78 Min: 1901.83 / Avg: 2241.57 / Max: 2398.7 Min: 6494.05 / Avg: 6605.06 / Max: 6827.08 Min: 6656.4 / Avg: 6770.19 / Max: 6827.08 Min: 5220.71 / Avg: 5362.77 / Max: 5433.8 Min: 4930.67 / Avg: 5300.22 / Max: 5916.8 Min: 3858.78 / Avg: 4503.71 / Max: 4671.16 Min: 3803.66 / Avg: 4255.18 / Max: 4930.67 Min: 3858.78 / Avg: 4472.15 / Max: 4590.62 Min: 4512.81 / Avg: 4618.38 / Max: 4671.16 Min: 3803.66 / Avg: 4433.06 / Max: 4671.16 Min: 3750.08 / Avg: 3804.17 / Max: 3858.78 Min: 3550.08 / Avg: 3631.81 / Max: 3698 Min: 3370.33 / Avg: 3429.08 / Max: 3503.37 Min: 2164.68 / Avg: 2536.42 / Max: 2958.4 Min: 2295.31 / Avg: 2336.06 / Max: 2377.29 Min: 1849 / Avg: 2244.31 / Max: 2335.58 Min: 1929.39 / Avg: 2035.81 / Max: 2130.05 Min: 1740.24 / Avg: 1963.31 / Max: 2032.49 1. (CXX) g++ options: -lpthread
Result
OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 2018-11-10 Test: tConvolve MPI - Degridding EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 1300 2600 3900 5200 6500 SE +/- 243.60, N = 3 SE +/- 19.79, N = 3 SE +/- 55.69, N = 15 SE +/- 100.04, N = 3 SE +/- 0.69, N = 3 SE +/- 2.61, N = 3 SE +/- 6.88, N = 3 SE +/- 1.06, N = 3 SE +/- 249.68, N = 3 SE +/- 1.06, N = 3 SE +/- 3.82, N = 3 SE +/- 3.67, N = 3 SE +/- 27.55, N = 3 SE +/- 95.82, N = 15 SE +/- 6.65, N = 3 SE +/- 6.65, N = 3 SE +/- 79.31, N = 15 SE +/- 48.28, N = 15 SE +/- 2.09, N = 3 SE +/- 1.17, N = 5 5630.66 6042.82 2815.25 5703.97 5936.73 6148.31 5767.29 5205.82 5841.65 5206.88 5205.83 5201.59 5282.86 4616.84 4953.62 2890.84 2675.68 2748.41 2586.06 2501.23 1. (CXX) g++ options: -lpthread
Result Confidence
OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 2018-11-10 Test: tConvolve MPI - Degridding EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 1100 2200 3300 4400 5500 Min: 5311.84 / Avg: 5630.66 / Max: 6109.12 Min: 6008.6 / Avg: 6042.82 / Max: 6077.17 Min: 2409.56 / Avg: 2815.25 / Max: 3247.02 Min: 5504 / Avg: 5703.97 / Max: 5809.88 Min: 5935.35 / Avg: 5936.73 / Max: 5937.42 Min: 6144.37 / Avg: 6148.31 / Max: 6153.24 Min: 5754.29 / Avg: 5767.29 / Max: 5777.71 Min: 5204.76 / Avg: 5205.82 / Max: 5207.94 Min: 5372.13 / Avg: 5841.65 / Max: 6223.66 Min: 5204.76 / Avg: 5206.88 / Max: 5207.94 Min: 5198.41 / Avg: 5205.83 / Max: 5211.13 Min: 5195.24 / Avg: 5201.59 / Max: 5207.94 Min: 5229.25 / Avg: 5282.86 / Max: 5320.69 Min: 3942.1 / Avg: 4616.84 / Max: 5224.97 Min: 4942.11 / Avg: 4953.62 / Max: 4965.15 Min: 2882.34 / Avg: 2890.84 / Max: 2903.95 Min: 2076.07 / Avg: 2675.68 / Max: 2901.97 Min: 2415.02 / Avg: 2748.41 / Max: 3069.23 Min: 2581.88 / Avg: 2586.06 / Max: 2588.15 Min: 2497.13 / Avg: 2501.23 / Max: 2502.99 1. (CXX) g++ options: -lpthread
Sudokut This is a test of Sudokut, which is a Sudoku puzzle solver written in Tcl. This test measures how long it takes to solve 100 Sudoku puzzles. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Sudokut 0.4 Total Time EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 5 10 15 20 25 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.14, N = 9 SE +/- 0.23, N = 3 SE +/- 0.01, N = 3 SE +/- 0.63, N = 15 SE +/- 0.67, N = 15 SE +/- 0.26, N = 15 SE +/- 0.05, N = 3 SE +/- 0.39, N = 15 SE +/- 0.03, N = 3 SE +/- 0.33, N = 15 SE +/- 0.01, N = 3 SE +/- 0.07, N = 3 SE +/- 0.87, N = 15 SE +/- 0.73, N = 15 SE +/- 0.23, N = 5 SE +/- 0.09, N = 3 SE +/- 0.18, N = 15 SE +/- 0.27, N = 15 14.28 13.67 14.49 16.65 16.21 18.79 18.48 17.03 16.47 16.34 15.83 16.52 15.74 17.37 18.05 18.58 17.49 15.92 17.38 18.32
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Sudokut 0.4 Total Time EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 5 10 15 20 25 Min: 14.26 / Avg: 14.28 / Max: 14.31 Min: 13.65 / Avg: 13.67 / Max: 13.69 Min: 14.13 / Avg: 14.49 / Max: 15.52 Min: 16.31 / Avg: 16.65 / Max: 17.09 Min: 16.2 / Avg: 16.21 / Max: 16.23 Min: 17.66 / Avg: 18.79 / Max: 27.36 Min: 17.47 / Avg: 18.48 / Max: 27.73 Min: 16.44 / Avg: 17.03 / Max: 20.4 Min: 16.37 / Avg: 16.47 / Max: 16.56 Min: 15.79 / Avg: 16.34 / Max: 21.78 Min: 15.77 / Avg: 15.83 / Max: 15.85 Min: 15.82 / Avg: 16.52 / Max: 20.97 Min: 15.73 / Avg: 15.74 / Max: 15.75 Min: 17.27 / Avg: 17.37 / Max: 17.51 Min: 16.4 / Avg: 18.05 / Max: 26.33 Min: 17.09 / Avg: 18.58 / Max: 26.98 Min: 17.2 / Avg: 17.49 / Max: 18.42 Min: 15.8 / Avg: 15.92 / Max: 16.1 Min: 17.01 / Avg: 17.38 / Max: 19.75 Min: 17.74 / Avg: 18.32 / Max: 21.89
SVT-VP9 This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.1 Tuning: VMAF Optimized - Input: Bosphorus 1080p EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 80 160 240 320 400 SE +/- 1.61, N = 3 SE +/- 2.88, N = 13 SE +/- 1.50, N = 3 SE +/- 11.01, N = 12 SE +/- 9.82, N = 12 SE +/- 10.42, N = 12 SE +/- 10.68, N = 12 SE +/- 11.53, N = 12 SE +/- 9.06, N = 12 SE +/- 10.13, N = 12 SE +/- 9.97, N = 12 SE +/- 9.21, N = 12 SE +/- 8.97, N = 12 SE +/- 6.80, N = 12 SE +/- 3.48, N = 12 SE +/- 3.90, N = 12 SE +/- 2.23, N = 6 SE +/- 1.25, N = 3 SE +/- 1.06, N = 3 SE +/- 1.30, N = 3 358.44 238.98 113.78 335.81 344.22 348.39 351.36 361.48 319.28 346.64 345.90 334.92 326.87 297.54 238.57 243.53 188.74 97.73 106.11 109.04 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.1 Tuning: VMAF Optimized - Input: Bosphorus 1080p EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 60 120 180 240 300 Min: 355.24 / Avg: 358.44 / Max: 360.36 Min: 205.2 / Avg: 238.98 / Max: 245 Min: 110.82 / Avg: 113.78 / Max: 115.67 Min: 214.9 / Avg: 335.81 / Max: 350.06 Min: 236.59 / Avg: 344.22 / Max: 358.64 Min: 234.1 / Avg: 348.39 / Max: 361.88 Min: 234.28 / Avg: 351.36 / Max: 365.85 Min: 235.48 / Avg: 361.48 / Max: 379.27 Min: 220.02 / Avg: 319.28 / Max: 333.7 Min: 235.57 / Avg: 346.64 / Max: 362.98 Min: 236.5 / Avg: 345.9 / Max: 360.58 Min: 234.28 / Avg: 334.92 / Max: 350.06 Min: 228.66 / Avg: 326.87 / Max: 340.72 Min: 223.13 / Avg: 297.54 / Max: 309.12 Min: 200.6 / Avg: 238.57 / Max: 244.7 Min: 200.8 / Avg: 243.53 / Max: 248.55 Min: 177.67 / Avg: 188.74 / Max: 191.63 Min: 95.24 / Avg: 97.73 / Max: 99.01 Min: 104 / Avg: 106.11 / Max: 107.2 Min: 106.48 / Avg: 109.04 / Max: 110.74 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 40 80 120 160 200 SE +/- 0.40, N = 3 SE +/- 0.23, N = 3 SE +/- 4.11, N = 12 SE +/- 1.96, N = 15 SE +/- 2.74, N = 15 SE +/- 0.49, N = 3 SE +/- 3.10, N = 15 SE +/- 1.72, N = 15 SE +/- 1.19, N = 3 SE +/- 3.83, N = 15 SE +/- 1.64, N = 4 SE +/- 4.90, N = 15 SE +/- 0.39, N = 3 SE +/- 0.30, N = 3 SE +/- 1.44, N = 4 SE +/- 1.45, N = 15 SE +/- 2.62, N = 15 SE +/- 3.56, N = 15 SE +/- 5.98, N = 15 SE +/- 1.76, N = 3 67.27 58.39 116.35 162.69 164.37 110.10 135.92 92.79 95.70 97.49 117.90 116.69 114.82 128.43 103.72 102.38 96.21 88.75 111.65 130.69 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 30 60 90 120 150 Min: 66.73 / Avg: 67.27 / Max: 68.06 Min: 57.97 / Avg: 58.39 / Max: 58.77 Min: 92.23 / Avg: 116.35 / Max: 134.23 Min: 153.2 / Avg: 162.69 / Max: 174.42 Min: 138.95 / Avg: 164.37 / Max: 181.75 Min: 109.29 / Avg: 110.1 / Max: 110.98 Min: 121.23 / Avg: 135.92 / Max: 159.98 Min: 81.95 / Avg: 92.79 / Max: 107.52 Min: 93.35 / Avg: 95.7 / Max: 97.15 Min: 80.07 / Avg: 97.49 / Max: 115 Min: 113.07 / Avg: 117.9 / Max: 120.3 Min: 86 / Avg: 116.69 / Max: 132.44 Min: 114.39 / Avg: 114.82 / Max: 115.59 Min: 127.84 / Avg: 128.43 / Max: 128.81 Min: 100.57 / Avg: 103.72 / Max: 106.94 Min: 92.81 / Avg: 102.38 / Max: 112.37 Min: 82.77 / Avg: 96.21 / Max: 112.24 Min: 74.15 / Avg: 88.75 / Max: 109.73 Min: 69.36 / Avg: 111.65 / Max: 138.39 Min: 127.21 / Avg: 130.69 / Max: 132.82 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
Result
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: IP Batch All - Data Type: f32 - Engine: CPU EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 15 30 45 60 75 SE +/- 0.40, N = 15 SE +/- 0.37, N = 4 SE +/- 0.11, N = 3 SE +/- 0.37, N = 3 SE +/- 0.21, N = 15 SE +/- 0.23, N = 15 SE +/- 0.61, N = 12 SE +/- 0.48, N = 15 SE +/- 2.20, N = 12 SE +/- 0.25, N = 3 SE +/- 0.54, N = 15 SE +/- 0.66, N = 4 SE +/- 0.34, N = 3 SE +/- 0.13, N = 3 SE +/- 0.21, N = 3 SE +/- 0.80, N = 15 SE +/- 0.30, N = 3 SE +/- 0.69, N = 15 SE +/- 0.32, N = 3 SE +/- 0.49, N = 3 27.32 27.95 54.81 21.59 20.11 18.97 23.30 26.85 30.87 21.95 27.09 45.83 29.56 35.70 34.28 50.11 51.78 62.73 66.44 66.89 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: IP Batch All - Data Type: f32 - Engine: CPU EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 13 26 39 52 65 Min: 23.37 / Avg: 27.32 / Max: 28.84 Min: 27.11 / Avg: 27.95 / Max: 28.77 Min: 54.67 / Avg: 54.81 / Max: 55.02 Min: 20.85 / Avg: 21.59 / Max: 21.96 Min: 18.88 / Avg: 20.11 / Max: 21.3 Min: 17.81 / Avg: 18.97 / Max: 20.22 Min: 20.54 / Avg: 23.3 / Max: 27.57 Min: 24.74 / Avg: 26.85 / Max: 30.62 Min: 22.93 / Avg: 30.87 / Max: 52.08 Min: 21.63 / Avg: 21.95 / Max: 22.43 Min: 24.2 / Avg: 27.09 / Max: 31.21 Min: 43.96 / Avg: 45.83 / Max: 47.03 Min: 29.08 / Avg: 29.56 / Max: 30.22 Min: 35.47 / Avg: 35.7 / Max: 35.93 Min: 33.87 / Avg: 34.28 / Max: 34.57 Min: 44.96 / Avg: 50.11 / Max: 56.21 Min: 51.46 / Avg: 51.78 / Max: 52.37 Min: 58.95 / Avg: 62.73 / Max: 67.52 Min: 66.1 / Avg: 66.44 / Max: 67.07 Min: 66.25 / Avg: 66.89 / Max: 67.85 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
GraphicsMagick This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.33 Operation: Rotate EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 120 240 360 480 600 SE +/- 1.45, N = 3 SE +/- 3.38, N = 3 SE +/- 4.45, N = 15 SE +/- 9.46, N = 14 SE +/- 20.04, N = 15 SE +/- 5.24, N = 3 SE +/- 5.66, N = 15 SE +/- 31.42, N = 12 SE +/- 6.21, N = 15 SE +/- 3.76, N = 3 SE +/- 16.69, N = 15 SE +/- 12.76, N = 14 SE +/- 7.12, N = 15 SE +/- 11.26, N = 15 SE +/- 2.08, N = 3 SE +/- 1.15, N = 3 SE +/- 1.45, N = 3 SE +/- 4.11, N = 5 517 563 337 482 420 484 262 260 296 529 410 234 475 347 533 333 518 516 530 321 1. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
Result Confidence
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.33 Operation: Rotate EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 100 200 300 400 500 Min: 515 / Avg: 517.33 / Max: 520 Min: 556 / Avg: 562.67 / Max: 567 Min: 318 / Avg: 337.47 / Max: 377 Min: 375 / Avg: 482.29 / Max: 512 Min: 282 / Avg: 419.87 / Max: 503 Min: 474 / Avg: 483.67 / Max: 492 Min: 229 / Avg: 262.07 / Max: 326 Min: 184 / Avg: 260.17 / Max: 519 Min: 255 / Avg: 296.4 / Max: 351 Min: 522 / Avg: 528.67 / Max: 535 Min: 280 / Avg: 409.53 / Max: 524 Min: 188 / Avg: 234.43 / Max: 384 Min: 425 / Avg: 475.2 / Max: 515 Min: 238 / Avg: 346.93 / Max: 407 Min: 329 / Avg: 333 / Max: 336 Min: 516 / Avg: 518 / Max: 520 Min: 527 / Avg: 529.67 / Max: 532 Min: 311 / Avg: 321.4 / Max: 335 1. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
ArrayFire ArrayFire is an GPU and CPU numeric processing library, this test uses the built-in CPU and OpenCL ArrayFire benchmarks. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org GFLOPS, More Is Better ArrayFire 3.7 Test: BLAS CPU EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 200 400 600 800 1000 SE +/- 4.46, N = 3 SE +/- 1.85, N = 3 SE +/- 3.52, N = 3 SE +/- 7.11, N = 3 SE +/- 14.16, N = 15 SE +/- 13.69, N = 3 SE +/- 10.65, N = 15 SE +/- 17.83, N = 12 SE +/- 7.08, N = 3 SE +/- 4.31, N = 3 SE +/- 15.40, N = 14 SE +/- 11.73, N = 15 SE +/- 0.99, N = 3 SE +/- 4.51, N = 3 SE +/- 0.89, N = 3 SE +/- 2.71, N = 3 SE +/- 3.69, N = 3 SE +/- 0.39, N = 3 SE +/- 10.58, N = 15 SE +/- 2.93, N = 3 599.53 456.91 220.92 772.58 694.25 796.30 576.21 653.71 509.24 606.34 431.69 487.74 396.26 362.45 367.57 346.25 271.74 206.13 141.22 175.49 1. (CXX) g++ options: -rdynamic
Result Confidence
OpenBenchmarking.org GFLOPS, More Is Better ArrayFire 3.7 Test: BLAS CPU EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 140 280 420 560 700 Min: 594.65 / Avg: 599.53 / Max: 608.44 Min: 453.26 / Avg: 456.91 / Max: 459.2 Min: 216.26 / Avg: 220.92 / Max: 227.82 Min: 758.61 / Avg: 772.58 / Max: 781.84 Min: 594.64 / Avg: 694.25 / Max: 820.64 Min: 773.92 / Avg: 796.3 / Max: 821.15 Min: 473.19 / Avg: 576.2 / Max: 636.28 Min: 463.09 / Avg: 653.71 / Max: 684.82 Min: 496.76 / Avg: 509.24 / Max: 521.25 Min: 598.79 / Avg: 606.34 / Max: 613.71 Min: 397.82 / Avg: 431.69 / Max: 624.49 Min: 409.82 / Avg: 487.74 / Max: 551.45 Min: 394.83 / Avg: 396.26 / Max: 398.16 Min: 354.07 / Avg: 362.45 / Max: 369.54 Min: 366.05 / Avg: 367.57 / Max: 369.13 Min: 343.18 / Avg: 346.25 / Max: 351.65 Min: 265.5 / Avg: 271.74 / Max: 278.29 Min: 205.42 / Avg: 206.13 / Max: 206.74 Min: 103.12 / Avg: 141.22 / Max: 185.75 Min: 172.22 / Avg: 175.49 / Max: 181.35 1. (CXX) g++ options: -rdynamic
LuaJIT This test profile is a collection of Lua scripts/benchmarks run against a locally-built copy of LuaJIT upstream. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Mflops, More Is Better LuaJIT 2.1-git Test: Dense LU Matrix Factorization EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 800 1600 2400 3200 4000 SE +/- 1.49, N = 3 SE +/- 12.02, N = 3 SE +/- 548.83, N = 3 SE +/- 1.18, N = 3 SE +/- 2.71, N = 3 SE +/- 2.08, N = 3 SE +/- 440.15, N = 3 SE +/- 495.38, N = 3 SE +/- 19.67, N = 3 SE +/- 0.07, N = 3 SE +/- 422.20, N = 3 SE +/- 493.42, N = 3 SE +/- 441.67, N = 3 SE +/- 7.15, N = 3 SE +/- 6.61, N = 3 SE +/- 242.72, N = 3 SE +/- 200.91, N = 3 SE +/- 6.93, N = 3 SE +/- 129.50, N = 3 SE +/- 318.01, N = 3 3436.63 3607.20 2832.36 3094.40 3069.17 3049.43 2616.75 2652.66 1701.71 3112.17 2514.98 2612.89 2521.24 2902.87 3057.21 2320.51 2211.14 3132.86 2658.82 2249.65 1. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector
Result Confidence
OpenBenchmarking.org Mflops, More Is Better LuaJIT 2.1-git Test: Dense LU Matrix Factorization EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 600 1200 1800 2400 3000 Min: 3434.39 / Avg: 3436.63 / Max: 3439.46 Min: 3584.25 / Avg: 3607.2 / Max: 3624.86 Min: 1753.8 / Avg: 2832.36 / Max: 3548.23 Min: 3092.13 / Avg: 3094.4 / Max: 3096.1 Min: 3065.99 / Avg: 3069.17 / Max: 3074.55 Min: 3045.64 / Avg: 3049.43 / Max: 3052.79 Min: 1736.48 / Avg: 2616.75 / Max: 3063.37 Min: 1661.91 / Avg: 2652.66 / Max: 3150.08 Min: 1681.92 / Avg: 1701.71 / Max: 1741.04 Min: 3112.04 / Avg: 3112.17 / Max: 3112.26 Min: 1700.09 / Avg: 2514.98 / Max: 3114.09 Min: 1626.06 / Avg: 2612.89 / Max: 3108.82 Min: 1656.97 / Avg: 2521.24 / Max: 3111.49 Min: 2892.68 / Avg: 2902.87 / Max: 2916.64 Min: 3049.05 / Avg: 3057.21 / Max: 3070.3 Min: 2016.82 / Avg: 2320.51 / Max: 2800.33 Min: 1922.03 / Avg: 2211.14 / Max: 2597.38 Min: 3119.77 / Avg: 3132.86 / Max: 3143.35 Min: 2445.92 / Avg: 2658.82 / Max: 2893.01 Min: 1645.77 / Avg: 2249.65 / Max: 2724.44 1. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector
Result
OpenBenchmarking.org Mflops, More Is Better LuaJIT 2.1-git Test: Sparse Matrix Multiply EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 300 600 900 1200 1500 SE +/- 3.54, N = 3 SE +/- 1.04, N = 3 SE +/- 82.02, N = 3 SE +/- 1.62, N = 3 SE +/- 1.27, N = 3 SE +/- 0.49, N = 3 SE +/- 81.52, N = 3 SE +/- 81.65, N = 3 SE +/- 47.01, N = 3 SE +/- 3.28, N = 3 SE +/- 82.14, N = 3 SE +/- 75.65, N = 3 SE +/- 68.19, N = 3 SE +/- 2.18, N = 3 SE +/- 4.96, N = 3 SE +/- 20.11, N = 3 SE +/- 64.65, N = 3 SE +/- 3.55, N = 3 SE +/- 4.60, N = 3 SE +/- 71.13, N = 3 1114.68 1175.98 1079.45 1018.42 1008.78 1002.31 929.80 952.81 848.08 1021.83 947.33 936.27 942.29 964.85 1000.90 955.20 901.96 1029.57 960.86 894.15 1. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector
Result Confidence
OpenBenchmarking.org Mflops, More Is Better LuaJIT 2.1-git Test: Sparse Matrix Multiply EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 200 400 600 800 1000 Min: 1110.44 / Avg: 1114.68 / Max: 1121.72 Min: 1174.88 / Avg: 1175.98 / Max: 1178.07 Min: 915.99 / Avg: 1079.45 / Max: 1173.22 Min: 1015.67 / Avg: 1018.42 / Max: 1021.29 Min: 1006.3 / Avg: 1008.78 / Max: 1010.53 Min: 1001.8 / Avg: 1002.31 / Max: 1003.3 Min: 766.8 / Avg: 929.8 / Max: 1014.44 Min: 789.57 / Avg: 952.81 / Max: 1038.11 Min: 785.58 / Avg: 848.08 / Max: 940.15 Min: 1015.81 / Avg: 1021.83 / Max: 1027.1 Min: 783.13 / Avg: 947.33 / Max: 1033.92 Min: 785.84 / Avg: 936.27 / Max: 1025.47 Min: 806.83 / Avg: 942.29 / Max: 1023.79 Min: 961.16 / Avg: 964.85 / Max: 968.71 Min: 993.83 / Avg: 1000.9 / Max: 1010.46 Min: 915.2 / Avg: 955.2 / Max: 978.93 Min: 772.85 / Avg: 901.96 / Max: 972.66 Min: 1025.21 / Avg: 1029.57 / Max: 1036.6 Min: 954.7 / Avg: 960.86 / Max: 969.85 Min: 752.08 / Avg: 894.15 / Max: 971.61 1. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector
Result
OpenBenchmarking.org Mflops, More Is Better LuaJIT 2.1-git Test: Fast Fourier Transform EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 50 100 150 200 250 SE +/- 0.67, N = 3 SE +/- 0.41, N = 3 SE +/- 59.48, N = 3 SE +/- 0.34, N = 3 SE +/- 0.34, N = 3 SE +/- 0.18, N = 3 SE +/- 51.82, N = 3 SE +/- 47.26, N = 3 SE +/- 0.55, N = 3 SE +/- 1.61, N = 3 SE +/- 50.46, N = 3 SE +/- 48.56, N = 3 SE +/- 48.53, N = 3 SE +/- 4.10, N = 3 SE +/- 0.21, N = 3 SE +/- 2.94, N = 3 SE +/- 46.05, N = 3 SE +/- 0.43, N = 3 SE +/- 45.94, N = 3 SE +/- 45.74, N = 3 238.95 246.84 165.44 219.29 218.05 217.61 155.45 142.76 59.16 220.75 152.26 136.16 136.32 208.87 217.13 215.39 153.02 222.53 177.20 138.46 1. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector
Result Confidence
OpenBenchmarking.org Mflops, More Is Better LuaJIT 2.1-git Test: Fast Fourier Transform EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 40 80 120 160 200 Min: 237.63 / Avg: 238.95 / Max: 239.78 Min: 246.02 / Avg: 246.84 / Max: 247.31 Min: 59.02 / Avg: 165.44 / Max: 264.68 Min: 218.94 / Avg: 219.29 / Max: 219.97 Min: 217.48 / Avg: 218.05 / Max: 218.65 Min: 217.32 / Avg: 217.61 / Max: 217.93 Min: 52.37 / Avg: 155.45 / Max: 216.32 Min: 54.01 / Avg: 142.76 / Max: 215.31 Min: 58.56 / Avg: 59.16 / Max: 60.27 Min: 217.94 / Avg: 220.75 / Max: 223.53 Min: 53.81 / Avg: 152.26 / Max: 220.66 Min: 52.74 / Avg: 136.16 / Max: 220.93 Min: 52.37 / Avg: 136.32 / Max: 220.49 Min: 201.85 / Avg: 208.87 / Max: 216.06 Min: 216.85 / Avg: 217.13 / Max: 217.53 Min: 210.51 / Avg: 215.39 / Max: 220.66 Min: 62.31 / Avg: 153.02 / Max: 212.16 Min: 221.98 / Avg: 222.53 / Max: 223.37 Min: 85.34 / Avg: 177.2 / Max: 224.62 Min: 50.36 / Avg: 138.46 / Max: 203.87 1. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector
Result
OpenBenchmarking.org Mflops, More Is Better LuaJIT 2.1-git Test: Composite EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 300 600 900 1200 1500 SE +/- 0.36, N = 3 SE +/- 2.36, N = 3 SE +/- 30.94, N = 12 SE +/- 0.48, N = 3 SE +/- 0.30, N = 3 SE +/- 0.53, N = 3 SE +/- 29.19, N = 12 SE +/- 31.69, N = 12 SE +/- 9.24, N = 3 SE +/- 0.26, N = 3 SE +/- 24.59, N = 12 SE +/- 29.87, N = 12 SE +/- 25.76, N = 12 SE +/- 2.55, N = 3 SE +/- 2.35, N = 3 SE +/- 14.92, N = 15 SE +/- 9.53, N = 15 SE +/- 1.94, N = 3 SE +/- 18.61, N = 3 SE +/- 19.13, N = 12 1406.47 1478.66 1285.35 1271.07 1259.32 1253.87 1228.75 1257.83 919.11 1277.04 1134.81 1221.20 1121.56 1196.83 1255.12 999.97 982.41 1289.24 1146.70 1069.16 1. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector
Result Confidence
OpenBenchmarking.org Mflops, More Is Better LuaJIT 2.1-git Test: Composite EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 300 600 900 1200 1500 Min: 1405.9 / Avg: 1406.47 / Max: 1407.13 Min: 1474.13 / Avg: 1478.66 / Max: 1482.06 Min: 1014.45 / Avg: 1285.35 / Max: 1450.78 Min: 1270.13 / Avg: 1271.07 / Max: 1271.69 Min: 1258.72 / Avg: 1259.32 / Max: 1259.65 Min: 1252.91 / Avg: 1253.87 / Max: 1254.73 Min: 907.78 / Avg: 1228.75 / Max: 1260.03 Min: 909.58 / Avg: 1257.83 / Max: 1297.69 Min: 901.96 / Avg: 919.11 / Max: 933.64 Min: 1276.54 / Avg: 1277.04 / Max: 1277.4 Min: 910.18 / Avg: 1134.81 / Max: 1270.44 Min: 895.88 / Avg: 1221.2 / Max: 1276.33 Min: 907.36 / Avg: 1121.56 / Max: 1260.46 Min: 1193.47 / Avg: 1196.83 / Max: 1201.83 Min: 1252.74 / Avg: 1255.12 / Max: 1259.81 Min: 948.09 / Avg: 999.97 / Max: 1184.38 Min: 939.13 / Avg: 982.41 / Max: 1071.56 Min: 1285.92 / Avg: 1289.24 / Max: 1292.64 Min: 1112.88 / Avg: 1146.7 / Max: 1177.09 Min: 874.4 / Avg: 1069.16 / Max: 1158.71 1. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector
Renaissance Renaissance is a suite of benchmarks designed to test the Java JVM from Apache Spark to a Twitter-like service to Scala and other features. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better Renaissance 0.10.0 Test: Apache Spark Bayes EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 100 200 300 400 500 SE +/- 13.97, N = 25 SE +/- 11.04, N = 25 SE +/- 12.51, N = 25 SE +/- 25.67, N = 25 SE +/- 21.47, N = 25 SE +/- 11.21, N = 25 SE +/- 21.33, N = 25 SE +/- 13.49, N = 25 SE +/- 23.32, N = 20 SE +/- 11.31, N = 25 SE +/- 15.99, N = 20 SE +/- 1.64, N = 5 SE +/- 14.93, N = 25 SE +/- 14.00, N = 25 SE +/- 11.79, N = 25 SE +/- 22.93, N = 25 SE +/- 1.52, N = 5 SE +/- 15.21, N = 25 SE +/- 14.80, N = 25 SE +/- 15.81, N = 25 246.88 250.68 368.41 287.37 282.25 243.14 268.58 241.25 269.25 231.51 241.79 204.36 275.81 271.20 276.42 364.78 370.48 432.49 441.46 466.72
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better Renaissance 0.10.0 Test: Apache Spark Bayes EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 80 160 240 320 400 Min: 175.84 / Avg: 246.88 / Max: 335.73 Min: 170.97 / Avg: 250.68 / Max: 320.09 Min: 316.64 / Avg: 368.41 / Max: 507.82 Min: 192.05 / Avg: 287.37 / Max: 640.46 Min: 193.18 / Avg: 282.25 / Max: 625.34 Min: 188.94 / Avg: 243.14 / Max: 319.52 Min: 189.05 / Avg: 268.58 / Max: 624.53 Min: 180.66 / Avg: 241.25 / Max: 373.27 Min: 189.88 / Avg: 269.25 / Max: 637.24 Min: 186.86 / Avg: 231.51 / Max: 348.08 Min: 185.18 / Avg: 241.79 / Max: 384.77 Min: 200.37 / Avg: 204.36 / Max: 208.19 Min: 199.24 / Avg: 275.81 / Max: 366.89 Min: 217.65 / Avg: 271.19 / Max: 387.98 Min: 206.33 / Avg: 276.42 / Max: 340.46 Min: 211.41 / Avg: 364.78 / Max: 468.13 Min: 366.9 / Avg: 370.48 / Max: 375.93 Min: 361.13 / Avg: 432.49 / Max: 579.95 Min: 381.45 / Avg: 441.46 / Max: 592.92 Min: 386.04 / Avg: 466.72 / Max: 622.34
LAMMPS Molecular Dynamics Simulator LAMMPS is a classical molecular dynamics code, and an acronym for Large-scale Atomic/Molecular Massively Parallel Simulator. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ns/day, More Is Better LAMMPS Molecular Dynamics Simulator 24Aug2020 Model: Rhodopsin Protein EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 5 10 15 20 25 SE +/- 0.090, N = 3 SE +/- 0.137, N = 6 SE +/- 0.185, N = 15 SE +/- 0.232, N = 3 SE +/- 0.063, N = 3 SE +/- 0.228, N = 15 SE +/- 0.230, N = 15 SE +/- 0.215, N = 15 SE +/- 0.203, N = 5 SE +/- 0.211, N = 15 SE +/- 0.242, N = 15 SE +/- 0.177, N = 3 SE +/- 0.177, N = 15 SE +/- 0.105, N = 3 SE +/- 0.199, N = 13 SE +/- 0.130, N = 15 SE +/- 0.205, N = 12 SE +/- 0.007, N = 3 SE +/- 0.114, N = 15 SE +/- 0.005, N = 3 15.031 11.802 5.351 17.483 20.733 18.868 18.500 16.291 15.923 16.068 15.390 15.005 13.636 9.911 9.909 9.199 5.981 5.629 4.120 5.179 1. (CXX) g++ options: -O3 -pthread -lm
Result Confidence
OpenBenchmarking.org ns/day, More Is Better LAMMPS Molecular Dynamics Simulator 24Aug2020 Model: Rhodopsin Protein EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 5 10 15 20 25 Min: 14.86 / Avg: 15.03 / Max: 15.17 Min: 11.32 / Avg: 11.8 / Max: 12.16 Min: 4.56 / Avg: 5.35 / Max: 6.38 Min: 17.07 / Avg: 17.48 / Max: 17.88 Min: 20.64 / Avg: 20.73 / Max: 20.85 Min: 17.98 / Avg: 18.87 / Max: 20.52 Min: 17.42 / Avg: 18.5 / Max: 20.22 Min: 14.81 / Avg: 16.29 / Max: 17.5 Min: 15.54 / Avg: 15.92 / Max: 16.65 Min: 13.91 / Avg: 16.07 / Max: 17.1 Min: 13.7 / Avg: 15.39 / Max: 16.83 Min: 14.83 / Avg: 15.01 / Max: 15.36 Min: 11.81 / Avg: 13.64 / Max: 14.45 Min: 9.7 / Avg: 9.91 / Max: 10.04 Min: 7.78 / Avg: 9.91 / Max: 10.32 Min: 8.19 / Avg: 9.2 / Max: 9.67 Min: 5.4 / Avg: 5.98 / Max: 7.44 Min: 5.62 / Avg: 5.63 / Max: 5.64 Min: 3.76 / Avg: 4.12 / Max: 5.14 Min: 5.17 / Avg: 5.18 / Max: 5.19 1. (CXX) g++ options: -O3 -pthread -lm
RAMspeed SMP This benchmark tests the system memory (RAM) performance. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org MB/s, More Is Better RAMspeed SMP 3.5.0 Type: Average - Benchmark: Integer EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 9K 18K 27K 36K 45K SE +/- 7.94, N = 3 SE +/- 1015.18, N = 15 SE +/- 586.59, N = 3 SE +/- 84.86, N = 3 SE +/- 583.46, N = 15 SE +/- 262.24, N = 3 SE +/- 1424.04, N = 15 SE +/- 1430.66, N = 15 SE +/- 11.31, N = 3 SE +/- 1247.03, N = 15 SE +/- 1308.67, N = 15 SE +/- 1302.14, N = 15 SE +/- 57.49, N = 3 SE +/- 652.75, N = 15 SE +/- 6.76, N = 3 SE +/- 1278.01, N = 15 SE +/- 104.09, N = 3 SE +/- 7.64, N = 3 SE +/- 711.02, N = 15 SE +/- 57.07, N = 3 29855.75 31875.18 39389.32 40334.91 30578.87 40458.23 36193.24 34154.76 29592.44 33147.39 37912.29 37812.30 40792.92 38609.83 29733.57 36438.99 40098.62 29752.76 37495.07 40558.04 1. (CC) gcc options: -O3 -march=native
Result Confidence
OpenBenchmarking.org MB/s, More Is Better RAMspeed SMP 3.5.0 Type: Average - Benchmark: Integer EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 7K 14K 21K 28K 35K Min: 29845.63 / Avg: 29855.75 / Max: 29871.4 Min: 29896.6 / Avg: 31875.18 / Max: 41391.48 Min: 38770.78 / Avg: 39389.32 / Max: 40561.91 Min: 40187.86 / Avg: 40334.91 / Max: 40481.82 Min: 29669.64 / Avg: 30578.87 / Max: 36747.81 Min: 39956.62 / Avg: 40458.23 / Max: 40841.69 Min: 29591.39 / Avg: 36193.24 / Max: 40756.03 Min: 29697.37 / Avg: 34154.76 / Max: 40916.91 Min: 29573.86 / Avg: 29592.44 / Max: 29612.91 Min: 29697.43 / Avg: 33147.39 / Max: 40789.11 Min: 29776 / Avg: 37912.29 / Max: 41166.9 Min: 29689.09 / Avg: 37812.3 / Max: 40880.42 Min: 40715.13 / Avg: 40792.92 / Max: 40905.15 Min: 32113.62 / Avg: 38609.83 / Max: 40643.86 Min: 29723.86 / Avg: 29733.57 / Max: 29746.57 Min: 29762.68 / Avg: 36438.99 / Max: 40720.85 Min: 39971.87 / Avg: 40098.62 / Max: 40305.01 Min: 29743.69 / Avg: 29752.76 / Max: 29767.94 Min: 32725.36 / Avg: 37495.07 / Max: 40076.38 Min: 40474.32 / Avg: 40558.04 / Max: 40667.1 1. (CC) gcc options: -O3 -march=native
Result
OpenBenchmarking.org MB/s, More Is Better RAMspeed SMP 3.5.0 Type: Triad - Benchmark: Integer EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 10K 20K 30K 40K 50K SE +/- 13.00, N = 3 SE +/- 167.17, N = 3 SE +/- 431.79, N = 9 SE +/- 1473.07, N = 12 SE +/- 1607.53, N = 15 SE +/- 26.84, N = 3 SE +/- 1586.62, N = 15 SE +/- 1238.87, N = 15 SE +/- 10.39, N = 3 SE +/- 479.86, N = 3 SE +/- 326.35, N = 3 SE +/- 1258.25, N = 15 SE +/- 111.00, N = 3 SE +/- 673.18, N = 3 SE +/- 312.09, N = 3 SE +/- 1655.33, N = 15 SE +/- 1144.65, N = 15 SE +/- 1250.59, N = 15 SE +/- 605.87, N = 4 SE +/- 1719.43, N = 12 30954.76 44653.46 43604.57 39856.39 34465.10 44086.19 34508.28 32746.75 30795.24 31430.04 44796.65 42824.88 44173.72 43731.73 44525.20 39609.55 39879.28 42868.08 42471.92 39912.22 1. (CC) gcc options: -O3 -march=native
Result Confidence
OpenBenchmarking.org MB/s, More Is Better RAMspeed SMP 3.5.0 Type: Triad - Benchmark: Integer EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 8K 16K 24K 32K 40K Min: 30928.79 / Avg: 30954.76 / Max: 30968.63 Min: 44325.37 / Avg: 44653.46 / Max: 44873.2 Min: 40992.79 / Avg: 43604.57 / Max: 45136.73 Min: 30861.15 / Avg: 39856.39 / Max: 45375.85 Min: 30757.27 / Avg: 34465.1 / Max: 45059.28 Min: 44054.6 / Avg: 44086.19 / Max: 44139.58 Min: 30711.53 / Avg: 34508.28 / Max: 44831.88 Min: 30899.28 / Avg: 32746.75 / Max: 44718.56 Min: 30777.85 / Avg: 30795.24 / Max: 30813.79 Min: 30933.72 / Avg: 31430.04 / Max: 32389.56 Min: 44145.93 / Avg: 44796.65 / Max: 45166.05 Min: 30852 / Avg: 42824.88 / Max: 45551.95 Min: 43953.63 / Avg: 44173.72 / Max: 44308.89 Min: 42436.77 / Avg: 43731.73 / Max: 44698.31 Min: 44078.73 / Avg: 44525.2 / Max: 45126.2 Min: 30905.95 / Avg: 39609.55 / Max: 44976.02 Min: 30735.34 / Avg: 39879.28 / Max: 44320.16 Min: 30970.36 / Avg: 42868.08 / Max: 45395.84 Min: 40736.88 / Avg: 42471.92 / Max: 43372.52 Min: 30839.49 / Avg: 39912.22 / Max: 44942.72 1. (CC) gcc options: -O3 -march=native
Result
OpenBenchmarking.org MB/s, More Is Better RAMspeed SMP 3.5.0 Type: Scale - Benchmark: Integer EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 8K 16K 24K 32K 40K SE +/- 1393.40, N = 15 SE +/- 1117.17, N = 15 SE +/- 453.53, N = 6 SE +/- 1304.15, N = 12 SE +/- 1423.80, N = 15 SE +/- 1193.70, N = 15 SE +/- 281.32, N = 3 SE +/- 809.42, N = 15 SE +/- 7.75, N = 3 SE +/- 21.16, N = 3 SE +/- 1184.84, N = 15 SE +/- 1361.34, N = 15 SE +/- 190.07, N = 3 SE +/- 259.53, N = 3 SE +/- 991.03, N = 15 SE +/- 1005.60, N = 15 SE +/- 595.11, N = 3 SE +/- 805.76, N = 15 SE +/- 1027.10, N = 12 SE +/- 1342.99, N = 15 33193.10 31998.12 38204.50 34333.32 34675.89 31400.38 39290.98 30650.76 28833.07 28922.64 31886.75 32972.78 39500.82 39129.02 30300.97 36075.79 38287.21 37752.01 35780.10 34824.99 1. (CC) gcc options: -O3 -march=native
Result Confidence
OpenBenchmarking.org MB/s, More Is Better RAMspeed SMP 3.5.0 Type: Scale - Benchmark: Integer EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 7K 14K 21K 28K 35K Min: 28912.46 / Avg: 33193.1 / Max: 40197.83 Min: 29021.31 / Avg: 31998.12 / Max: 39806.02 Min: 36621.29 / Avg: 38204.5 / Max: 39661.73 Min: 28806.96 / Avg: 34333.32 / Max: 39623.27 Min: 28796.99 / Avg: 34675.89 / Max: 39936.31 Min: 28556.23 / Avg: 31400.38 / Max: 38984.63 Min: 38805.87 / Avg: 39290.98 / Max: 39780.38 Min: 28877.33 / Avg: 30650.76 / Max: 37858.63 Min: 28817.58 / Avg: 28833.07 / Max: 28841.12 Min: 28897.62 / Avg: 28922.64 / Max: 28964.71 Min: 28786.75 / Avg: 31886.75 / Max: 40051.06 Min: 28842.8 / Avg: 32972.78 / Max: 40047.41 Min: 39229.86 / Avg: 39500.82 / Max: 39867.21 Min: 38835.57 / Avg: 39129.02 / Max: 39646.52 Min: 28779.54 / Avg: 30300.97 / Max: 39971.89 Min: 28858.64 / Avg: 36075.79 / Max: 39965.31 Min: 37254.45 / Avg: 38287.21 / Max: 39315.97 Min: 28871.15 / Avg: 37752.01 / Max: 40001.21 Min: 28785.93 / Avg: 35780.1 / Max: 38995.76 Min: 28802.15 / Avg: 34824.99 / Max: 39755.82 1. (CC) gcc options: -O3 -march=native
Result
OpenBenchmarking.org MB/s, More Is Better RAMspeed SMP 3.5.0 Type: Copy - Benchmark: Integer EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 8K 16K 24K 32K 40K SE +/- 71.12, N = 3 SE +/- 57.19, N = 3 SE +/- 316.68, N = 10 SE +/- 754.39, N = 15 SE +/- 926.99, N = 15 SE +/- 112.67, N = 3 SE +/- 830.97, N = 15 SE +/- 20.47, N = 3 SE +/- 1.86, N = 3 SE +/- 884.91, N = 15 SE +/- 535.38, N = 14 SE +/- 888.64, N = 15 SE +/- 624.60, N = 12 SE +/- 379.71, N = 15 SE +/- 54.01, N = 3 SE +/- 878.51, N = 15 SE +/- 605.24, N = 15 SE +/- 78.47, N = 3 SE +/- 505.40, N = 15 SE +/- 900.70, N = 15 36296.45 36650.26 35283.08 34096.66 30957.09 35410.82 30290.94 28648.25 28516.07 31028.93 29143.48 33375.87 35348.11 34859.66 35997.33 31690.52 33289.76 35993.47 33796.07 33225.43 1. (CC) gcc options: -O3 -march=native
Result Confidence
OpenBenchmarking.org MB/s, More Is Better RAMspeed SMP 3.5.0 Type: Copy - Benchmark: Integer EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 6K 12K 18K 24K 30K Min: 36205.85 / Avg: 36296.45 / Max: 36436.71 Min: 36536.09 / Avg: 36650.26 / Max: 36713.44 Min: 33173.71 / Avg: 35283.08 / Max: 36199.16 Min: 28489.67 / Avg: 34096.66 / Max: 36095.19 Min: 28467.39 / Avg: 30957.09 / Max: 36036.16 Min: 35267.72 / Avg: 35410.82 / Max: 35633.12 Min: 28386.9 / Avg: 30290.94 / Max: 35939.81 Min: 28608.01 / Avg: 28648.25 / Max: 28674.85 Min: 28514.02 / Avg: 28516.07 / Max: 28519.78 Min: 28488.68 / Avg: 31028.93 / Max: 36158.98 Min: 28548.66 / Avg: 29143.48 / Max: 36102.48 Min: 28511.86 / Avg: 33375.87 / Max: 36057.31 Min: 28486.35 / Avg: 35348.11 / Max: 36099.77 Min: 30696.8 / Avg: 34859.66 / Max: 35822.28 Min: 35901.3 / Avg: 35997.33 / Max: 36088.2 Min: 28467.99 / Avg: 31690.52 / Max: 36046.92 Min: 28386 / Avg: 33289.76 / Max: 35700.74 Min: 35840.78 / Avg: 35993.47 / Max: 36101.24 Min: 29768.36 / Avg: 33796.07 / Max: 35632.71 Min: 28424.7 / Avg: 33225.43 / Max: 35855.69 1. (CC) gcc options: -O3 -march=native
Result
OpenBenchmarking.org MB/s, More Is Better RAMspeed SMP 3.5.0 Type: Add - Benchmark: Integer EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 9K 18K 27K 36K 45K SE +/- 285.80, N = 3 SE +/- 1767.24, N = 12 SE +/- 523.42, N = 3 SE +/- 1241.24, N = 15 SE +/- 795.56, N = 15 SE +/- 1453.80, N = 15 SE +/- 42.49, N = 3 SE +/- 874.93, N = 15 SE +/- 780.64, N = 15 SE +/- 1500.19, N = 15 SE +/- 373.43, N = 13 SE +/- 608.18, N = 4 SE +/- 1166.90, N = 15 SE +/- 492.75, N = 15 SE +/- 105.39, N = 3 SE +/- 1264.73, N = 15 SE +/- 1073.34, N = 15 SE +/- 1332.08, N = 15 SE +/- 1025.97, N = 15 SE +/- 1470.68, N = 15 42539.39 36546.04 41386.61 39537.66 31516.89 34934.58 42701.74 32096.98 31770.21 35252.61 31137.04 42122.70 39574.47 41379.54 42792.16 37214.09 38461.11 39802.05 37826.40 36365.94 1. (CC) gcc options: -O3 -march=native
Result Confidence
OpenBenchmarking.org MB/s, More Is Better RAMspeed SMP 3.5.0 Type: Add - Benchmark: Integer EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7352 EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P 7K 14K 21K 28K 35K Min: 42011.63 / Avg: 42539.39 / Max: 42993.4 Min: 31012.57 / Avg: 36546.04 / Max: 43442.72 Min: 40397.09 / Avg: 41386.61 / Max: 42177.24 Min: 30632.91 / Avg: 39537.66 / Max: 42785.08 Min: 30659.38 / Avg: 31516.89 / Max: 42653.89 Min: 30463.06 / Avg: 34934.58 / Max: 42519.99 Min: 42627.17 / Avg: 42701.74 / Max: 42774.31 Min: 30840.22 / Avg: 32096.98 / Max: 43103.18 Min: 30621.49 / Avg: 31770.21 / Max: 41410.02 Min: 30703.43 / Avg: 35252.61 / Max: 42875.53 Min: 30718.74 / Avg: 31137.04 / Max: 35616.86 Min: 40298.4 / Avg: 42122.7 / Max: 42759.19 Min: 30763.21 / Avg: 39574.47 / Max: 42896.97 Min: 36500.03 / Avg: 41379.54 / Max: 42631.69 Min: 42583.25 / Avg: 42792.16 / Max: 42920.88 Min: 30700.49 / Avg: 37214.09 / Max: 42664.5 Min: 31707.88 / Avg: 38461.11 / Max: 42120.8 Min: 30778.85 / Avg: 39802.05 / Max: 42975.71 Min: 30450.13 / Avg: 37826.4 / Max: 41664.04 Min: 30678.26 / Avg: 36365.94 / Max: 42678.53 1. (CC) gcc options: -O3 -march=native
EPYC 7232P Processor: AMD EPYC 7232P 8-Core @ 3.10GHz (8 Cores / 16 Threads), Motherboard: ASRockRack EPYCD8 (P2.10 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.10, Kernel: 5.8.0-21-generic (x86_64), Desktop: GNOME Shell 3.38.0, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.2.0 (LLVM 11.0.0 256 bits), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vDisk Notes: NONE / errors=remount-ro,relatime,rwProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101cJava Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu1)Python Notes: Python 2.7.18 + Python 3.8.6Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 25 October 2020 09:00 by user phoronix.
EPYC 7252 Processor: AMD EPYC 7252 8-Core @ 3.10GHz (8 Cores / 16 Threads), Motherboard: ASRockRack EPYCD8 (P2.10 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.10, Kernel: 5.8.0-21-generic (x86_64), Desktop: GNOME Shell 3.38.0, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.2.0 (LLVM 11.0.0 256 bits), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vDisk Notes: NONE / errors=remount-ro,relatime,rwProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101cJava Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu1)Python Notes: Python 2.7.18 + Python 3.8.6Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 4 November 2020 08:52 by user phoronix.
EPYC 7262 Processor: AMD EPYC 7262 8-Core @ 3.20GHz (8 Cores / 16 Threads), Motherboard: ASRockRack EPYCD8 (P2.10 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.10, Kernel: 5.8.0-21-generic (x86_64), Desktop: GNOME Shell 3.38.0, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.2.0 (LLVM 11.0.0 256 bits), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vDisk Notes: NONE / errors=remount-ro,relatime,rwProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101cJava Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu1)Python Notes: Python 2.7.18 + Python 3.8.6Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 5 November 2020 18:30 by user phoronix.
EPYC 7272 Processor: AMD EPYC 7272 12-Core @ 2.90GHz (12 Cores / 24 Threads), Motherboard: ASRockRack EPYCD8 (P2.10 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.10, Kernel: 5.8.0-21-generic (x86_64), Desktop: GNOME Shell 3.38.0, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.2.0 (LLVM 11.0.0 256 bits), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vDisk Notes: NONE / errors=remount-ro,relatime,rwProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101cJava Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu1)Python Notes: Python 2.7.18 + Python 3.8.6Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 7 November 2020 09:08 by user phoronix.
EPYC 7282 Processor: AMD EPYC 7282 16-Core @ 2.80GHz (16 Cores / 32 Threads), Motherboard: ASRockRack EPYCD8 (P2.10 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.10, Kernel: 5.8.0-21-generic (x86_64), Desktop: GNOME Shell 3.38.0, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.2.0 (LLVM 11.0.0 256 bits), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vDisk Notes: NONE / errors=remount-ro,relatime,rwProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101cJava Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu1)Python Notes: Python 2.7.18 + Python 3.8.6Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 2 November 2020 17:57 by user phoronix.
EPYC 7302P Processor: AMD EPYC 7302P 16-Core @ 3.00GHz (16 Cores / 32 Threads), Motherboard: ASRockRack EPYCD8 (P2.10 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.10, Kernel: 5.8.0-21-generic (x86_64), Desktop: GNOME Shell 3.38.0, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.2.0 (LLVM 11.0.0 256 bits), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vDisk Notes: NONE / errors=remount-ro,relatime,rwProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101cJava Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu1)Python Notes: Python 2.7.18 + Python 3.8.6Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 24 October 2020 10:21 by user phoronix.
EPYC 7352 Processor: AMD EPYC 7352 24-Core @ 2.30GHz (24 Cores / 48 Threads), Motherboard: ASRockRack EPYCD8 (P2.10 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.10, Kernel: 5.8.0-21-generic (x86_64), Desktop: GNOME Shell 3.38.0, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.2.0 (LLVM 11.0.0 256 bits), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vDisk Notes: NONE / errors=remount-ro,relatime,rwProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101cJava Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu1)Python Notes: Python 2.7.18 + Python 3.8.6Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 31 October 2020 18:01 by user phoronix.
EPYC 7402P Processor: AMD EPYC 7402P 24-Core @ 2.80GHz (24 Cores / 48 Threads), Motherboard: ASRockRack EPYCD8 (P2.10 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.10, Kernel: 5.8.0-21-generic (x86_64), Desktop: GNOME Shell 3.38.0, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.2.0 (LLVM 11.0.0 256 bits), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vDisk Notes: NONE / errors=remount-ro,relatime,rwProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101cJava Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu1)Python Notes: Python 2.7.18 + Python 3.8.6Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 23 October 2020 11:54 by user phoronix.
EPYC 7452 Processor: AMD EPYC 7452 32-Core @ 2.35GHz (32 Cores / 64 Threads), Motherboard: ASRockRack EPYCD8 (P2.10 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.10, Kernel: 5.8.0-21-generic (x86_64), Desktop: GNOME Shell 3.38.0, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.2.0 (LLVM 11.0.0 256 bits), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vDisk Notes: NONE / errors=remount-ro,relatime,rwProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101cJava Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu1)Python Notes: Python 2.7.18 + Python 3.8.6Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 28 October 2020 17:37 by user phoronix.
EPYC 7502 Processor: AMD EPYC 7502 32-Core @ 2.50GHz (32 Cores / 64 Threads), Motherboard: ASRockRack EPYCD8 (P2.10 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.10, Kernel: 5.8.0-21-generic (x86_64), Desktop: GNOME Shell 3.38.0, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.2.0 (LLVM 11.0.0 256 bits), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vDisk Notes: NONE / errors=remount-ro,relatime,rwProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101cJava Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu1)Python Notes: Python 2.7.18 + Python 3.8.6Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 8 November 2020 15:47 by user phoronix.
EPYC 7502P Processor: AMD EPYC 7502P 32-Core @ 2.50GHz (32 Cores / 64 Threads), Motherboard: ASRockRack EPYCD8 (P2.10 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.10, Kernel: 5.8.0-21-generic (x86_64), Desktop: GNOME Shell 3.38.0, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.2.0 (LLVM 11.0.0 256 bits), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vDisk Notes: NONE / errors=remount-ro,relatime,rwProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101cJava Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu1)Python Notes: Python 2.7.18 + Python 3.8.6Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 10 October 2020 06:50 by user phoronix.
EPYC 7532 Processor: AMD EPYC 7532 32-Core @ 2.40GHz (32 Cores / 64 Threads), Motherboard: ASRockRack EPYCD8 (P2.10 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.10, Kernel: 5.8.0-21-generic (x86_64), Desktop: GNOME Shell 3.38.0, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.2.0 (LLVM 11.0.0 256 bits), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vDisk Notes: NONE / errors=remount-ro,relatime,rwProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101cJava Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu1)Python Notes: Python 2.7.18 + Python 3.8.6Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 30 October 2020 18:09 by user phoronix.
EPYC 7542 Processor: AMD EPYC 7542 32-Core @ 2.90GHz (32 Cores / 64 Threads), Motherboard: ASRockRack EPYCD8 (P2.10 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.10, Kernel: 5.8.0-21-generic (x86_64), Desktop: GNOME Shell 3.38.0, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.2.0 (LLVM 11.0.0 256 bits), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vDisk Notes: NONE / errors=remount-ro,relatime,rwProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101cJava Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu1)Python Notes: Python 2.7.18 + Python 3.8.6Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 1 November 2020 18:31 by user phoronix.
EPYC 7552 Processor: AMD EPYC 7552 48-Core @ 2.20GHz (48 Cores / 96 Threads), Motherboard: ASRockRack EPYCD8 (P2.10 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.10, Kernel: 5.8.0-21-generic (x86_64), Desktop: GNOME Shell 3.38.0, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.2.0 (LLVM 11.0.0 256 bits), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vDisk Notes: NONE / errors=remount-ro,relatime,rwProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101cJava Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu1)Python Notes: Python 2.7.18 + Python 3.8.6Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 26 October 2020 13:43 by user phoronix.
EPYC 7642 Processor: AMD EPYC 7642 48-Core @ 2.30GHz (48 Cores / 96 Threads), Motherboard: ASRockRack EPYCD8 (P2.10 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.10, Kernel: 5.8.0-21-generic (x86_64), Desktop: GNOME Shell 3.38.0, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.2.0 (LLVM 11.0.0 256 bits), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vDisk Notes: NONE / errors=remount-ro,relatime,rwProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101cJava Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu1)Python Notes: Python 2.7.18 + Python 3.8.6Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 22 October 2020 09:57 by user phoronix.
EPYC 7662 Processor: AMD EPYC 7662 64-Core @ 2.00GHz (64 Cores / 128 Threads), Motherboard: ASRockRack EPYCD8 (P2.10 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.10, Kernel: 5.8.0-21-generic (x86_64), Desktop: GNOME Shell 3.38.0, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.2.0 (LLVM 11.0.0 256 bits), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vDisk Notes: NONE / errors=remount-ro,relatime,rwProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101cJava Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu1)Python Notes: Python 2.7.18 + Python 3.8.6Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 19 October 2020 21:29 by user phoronix.
EPYC 7702 Processor: AMD EPYC 7702 64-Core @ 2.00GHz (64 Cores / 128 Threads), Motherboard: ASRockRack EPYCD8 (P2.10 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.10, Kernel: 5.8.0-21-generic (x86_64), Desktop: GNOME Shell 3.38.0, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.2.0 (LLVM 11.0.0 256 bits), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vDisk Notes: NONE / errors=remount-ro,relatime,rwProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101cJava Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu1)Python Notes: Python 2.7.18 + Python 3.8.6Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 21 October 2020 08:51 by user phoronix.
EPYC 7F32 Processor: AMD EPYC 7F32 8-Core @ 3.70GHz (8 Cores / 16 Threads), Motherboard: ASRockRack EPYCD8 (P2.10 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.10, Kernel: 5.8.0-21-generic (x86_64), Desktop: GNOME Shell 3.38.0, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.2.0 (LLVM 11.0.0 256 bits), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vDisk Notes: NONE / errors=remount-ro,relatime,rwProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101cJava Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu1)Python Notes: Python 2.7.18 + Python 3.8.6Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 27 October 2020 15:29 by user phoronix.
EPYC 7F52 Processor: AMD EPYC 7F52 16-Core @ 3.50GHz (16 Cores / 32 Threads), Motherboard: ASRockRack EPYCD8 (P2.10 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.10, Kernel: 5.8.0-21-generic (x86_64), Desktop: GNOME Shell 3.38.0, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.2.0 (LLVM 11.0.0 256 bits), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vDisk Notes: NONE / errors=remount-ro,relatime,rwProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101cJava Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu1)Python Notes: Python 2.7.18 + Python 3.8.6Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 29 October 2020 18:03 by user phoronix.
EPYC 7F72 Processor: AMD EPYC 7F72 24-Core @ 3.20GHz (24 Cores / 48 Threads), Motherboard: ASRockRack EPYCD8 (P2.10 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.10, Kernel: 5.8.0-20-generic (x86_64), Desktop: GNOME Shell 3.38.0, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.2.0 (LLVM 11.0.0 256 bits), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vDisk Notes: NONE / errors=remount-ro,relatime,rwProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101cJava Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu1)Python Notes: Python 2.7.18 + Python 3.8.6Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 8 October 2020 10:33 by user phoronix.