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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 4 8 12 16 20 SE +/- 0.016232, N = 3 SE +/- 0.031130, N = 3 SE +/- 0.017368, N = 3 SE +/- 0.032837, N = 3 SE +/- 0.042595, N = 3 SE +/- 0.060143, N = 3 SE +/- 0.039936, N = 3 SE +/- 0.050387, N = 3 SE +/- 0.089451, N = 3 SE +/- 0.077277, N = 3 SE +/- 0.044903, N = 3 SE +/- 0.111318, N = 3 SE +/- 0.148138, N = 3 SE +/- 0.079585, N = 15 SE +/- 0.075924, N = 3 SE +/- 0.105342, N = 3 SE +/- 0.118524, N = 15 SE +/- 0.194041, N = 3 SE +/- 0.249884, N = 3 SE +/- 0.267671, N = 3 1.667038 2.583445 2.717810 2.969549 3.613094 4.499071 5.054392 6.194514 6.740164 7.273022 7.513536 8.907940 9.218407 9.308025 9.488085 9.732388 12.678299 13.770619 15.188358 16.544917 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 4 8 12 16 20 Min: 1.64 / Avg: 1.67 / Max: 1.7 Min: 2.54 / Avg: 2.58 / Max: 2.64 Min: 2.69 / Avg: 2.72 / Max: 2.74 Min: 2.92 / Avg: 2.97 / Max: 3.03 Min: 3.53 / Avg: 3.61 / Max: 3.67 Min: 4.42 / Avg: 4.5 / Max: 4.62 Min: 4.99 / Avg: 5.05 / Max: 5.12 Min: 6.14 / Avg: 6.19 / Max: 6.29 Min: 6.59 / Avg: 6.74 / Max: 6.9 Min: 7.17 / Avg: 7.27 / Max: 7.43 Min: 7.44 / Avg: 7.51 / Max: 7.59 Min: 8.75 / Avg: 8.91 / Max: 9.12 Min: 8.94 / Avg: 9.22 / Max: 9.44 Min: 8.67 / Avg: 9.31 / Max: 9.63 Min: 9.38 / Avg: 9.49 / Max: 9.63 Min: 9.53 / Avg: 9.73 / Max: 9.89 Min: 11.57 / Avg: 12.68 / Max: 13.15 Min: 13.39 / Avg: 13.77 / Max: 14.03 Min: 14.9 / Avg: 15.19 / Max: 15.69 Min: 16.11 / Avg: 16.54 / Max: 17.03 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 7262 EPYC 7F32 EPYC 7252 EPYC 7232P EPYC 7272 EPYC 7302P EPYC 7F52 EPYC 7282 EPYC 7352 EPYC 7F72 EPYC 7402P EPYC 7532 EPYC 7452 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7662 200 400 600 800 1000 SE +/- 0.48, N = 3 SE +/- 0.44, N = 3 SE +/- 0.27, N = 3 SE +/- 0.16, N = 3 SE +/- 0.75, N = 3 SE +/- 0.91, N = 3 SE +/- 0.37, N = 3 SE +/- 0.99, N = 3 SE +/- 1.19, N = 3 SE +/- 0.29, N = 3 SE +/- 0.44, N = 3 SE +/- 0.86, N = 3 SE +/- 2.15, N = 3 SE +/- 0.49, N = 3 SE +/- 1.49, N = 3 SE +/- 1.84, N = 3 SE +/- 3.65, N = 3 SE +/- 1.69, N = 3 SE +/- 0.14, N = 3 SE +/- 1.24, N = 3 111.22 115.82 116.86 118.38 186.52 228.74 230.59 252.79 344.22 352.52 363.24 448.37 474.52 481.77 482.08 483.78 679.67 700.86 904.46 922.75 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: MMAP EPYC 7262 EPYC 7F32 EPYC 7252 EPYC 7232P EPYC 7272 EPYC 7302P EPYC 7F52 EPYC 7282 EPYC 7352 EPYC 7F72 EPYC 7402P EPYC 7532 EPYC 7452 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7662 160 320 480 640 800 Min: 110.53 / Avg: 111.22 / Max: 112.15 Min: 115.15 / Avg: 115.82 / Max: 116.65 Min: 116.48 / Avg: 116.86 / Max: 117.39 Min: 118.19 / Avg: 118.38 / Max: 118.69 Min: 185.02 / Avg: 186.52 / Max: 187.35 Min: 226.95 / Avg: 228.74 / Max: 229.95 Min: 229.85 / Avg: 230.59 / Max: 231.04 Min: 250.98 / Avg: 252.79 / Max: 254.38 Min: 341.85 / Avg: 344.22 / Max: 345.65 Min: 351.94 / Avg: 352.52 / Max: 352.84 Min: 362.51 / Avg: 363.24 / Max: 364.04 Min: 447.48 / Avg: 448.37 / Max: 450.08 Min: 470.58 / Avg: 474.52 / Max: 477.98 Min: 481.21 / Avg: 481.77 / Max: 482.74 Min: 479.91 / Avg: 482.08 / Max: 484.94 Min: 481.18 / Avg: 483.78 / Max: 487.34 Min: 673.23 / Avg: 679.67 / Max: 685.86 Min: 697.7 / Avg: 700.86 / Max: 703.5 Min: 904.23 / Avg: 904.46 / Max: 904.72 Min: 920.64 / Avg: 922.75 / Max: 924.95 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 7262 EPYC 7252 EPYC 7232P EPYC 7F32 EPYC 7272 EPYC 7302P EPYC 7282 EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7502 EPYC 7502P EPYC 7452 EPYC 7532 EPYC 7542 EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7662 2M 4M 6M 8M 10M SE +/- 1503.17, N = 3 SE +/- 2002.32, N = 3 SE +/- 699.96, N = 3 SE +/- 643.25, N = 3 SE +/- 1404.08, N = 3 SE +/- 3591.62, N = 3 SE +/- 2401.91, N = 3 SE +/- 10192.76, N = 3 SE +/- 2929.41, N = 3 SE +/- 15685.26, N = 3 SE +/- 4355.00, N = 3 SE +/- 25409.49, N = 3 SE +/- 4978.84, N = 3 SE +/- 20238.04, N = 3 SE +/- 6229.17, N = 3 SE +/- 33103.80, N = 3 SE +/- 7510.98, N = 3 SE +/- 17764.90, N = 3 SE +/- 8815.15, N = 3 SE +/- 36035.92, N = 3 1068384.20 1081054.66 1081706.29 1123267.36 1655038.96 2155404.24 2217376.84 2296867.17 3189832.78 3235018.08 3398307.36 4353781.68 4353954.55 4372996.35 4389847.95 4395637.93 6435677.98 6519097.16 8681304.25 8774129.37 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 7262 EPYC 7252 EPYC 7232P EPYC 7F32 EPYC 7272 EPYC 7302P EPYC 7282 EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7502 EPYC 7502P EPYC 7452 EPYC 7532 EPYC 7542 EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7662 1.5M 3M 4.5M 6M 7.5M 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 Min: 1121983.91 / Avg: 1123267.36 / Max: 1123985.77 Min: 1652768.13 / Avg: 1655038.96 / Max: 1657605.05 Min: 2149676.3 / Avg: 2155404.24 / Max: 2162022.17 Min: 2212830.65 / Avg: 2217376.84 / Max: 2220994.04 Min: 2282258.59 / Avg: 2296867.17 / Max: 2316484.82 Min: 3184238.18 / Avg: 3189832.78 / Max: 3194136.61 Min: 3203671.95 / Avg: 3235018.08 / Max: 3251762.1 Min: 3392892.99 / Avg: 3398307.36 / Max: 3406923.14 Min: 4316973 / Avg: 4353781.68 / Max: 4402530.17 Min: 4344204.7 / Avg: 4353954.55 / Max: 4360582.14 Min: 4340438.81 / Avg: 4372996.35 / Max: 4410101.54 Min: 4379647.09 / Avg: 4389847.95 / Max: 4401142.29 Min: 4361662.69 / Avg: 4395637.93 / Max: 4461837.82 Min: 6422749.86 / Avg: 6435677.98 / Max: 6448767.17 Min: 6484408.43 / Avg: 6519097.16 / Max: 6543096.92 Min: 8668605.07 / Avg: 8681304.25 / Max: 8698244.81 Min: 8703722.9 / Avg: 8774129.37 / Max: 8822672.77 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 16K 32K 48K 64K 80K SE +/- 33.95, N = 3 SE +/- 5.36, N = 3 SE +/- 22.52, N = 3 SE +/- 20.85, N = 3 SE +/- 58.71, N = 3 SE +/- 2.73, N = 3 SE +/- 20.42, N = 3 SE +/- 17.90, N = 3 SE +/- 111.57, N = 3 SE +/- 78.29, N = 3 SE +/- 170.86, N = 3 SE +/- 99.32, N = 3 SE +/- 8.37, N = 3 SE +/- 50.84, N = 3 SE +/- 25.03, N = 3 SE +/- 66.64, N = 3 SE +/- 39.72, N = 3 SE +/- 27.43, N = 3 SE +/- 108.39, N = 3 SE +/- 107.31, N = 3 10441 11027 11685 12832 15594 22039 22695 26828 29439 34101 37810 41176 43396 44279 44348 45255 61138 61922 66272 74411 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 13K 26K 39K 52K 65K Min: 10374 / Avg: 10441 / Max: 10484 Min: 11017 / Avg: 11027.33 / Max: 11035 Min: 11640 / Avg: 11684.67 / Max: 11712 Min: 12793 / Avg: 12832.33 / Max: 12864 Min: 15480 / Avg: 15593.67 / Max: 15676 Min: 22034 / Avg: 22039.33 / Max: 22043 Min: 22665 / Avg: 22695 / Max: 22734 Min: 26793 / Avg: 26828.33 / Max: 26851 Min: 29217 / Avg: 29439.33 / Max: 29567 Min: 34015 / Avg: 34100.67 / Max: 34257 Min: 37499 / Avg: 37810.33 / Max: 38088 Min: 40978 / Avg: 41176.33 / Max: 41285 Min: 43382 / Avg: 43396.33 / Max: 43411 Min: 44202 / Avg: 44279 / Max: 44375 Min: 44298 / Avg: 44348 / Max: 44375 Min: 45181 / Avg: 45255 / Max: 45388 Min: 61064 / Avg: 61138 / Max: 61200 Min: 61891 / Avg: 61922.33 / Max: 61977 Min: 66135 / Avg: 66272 / Max: 66486 Min: 74216 / Avg: 74411.33 / Max: 74586 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7532 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 5K 10K 15K 20K 25K SE +/- 11.11, N = 3 SE +/- 15.00, N = 3 SE +/- 34.49, N = 3 SE +/- 33.82, N = 3 SE +/- 28.38, N = 3 SE +/- 16.02, N = 3 SE +/- 3.65, N = 3 SE +/- 41.36, N = 3 SE +/- 11.41, N = 3 SE +/- 82.07, N = 3 SE +/- 18.81, N = 3 SE +/- 31.91, N = 3 SE +/- 96.28, N = 3 SE +/- 21.35, N = 3 SE +/- 87.55, N = 3 SE +/- 20.90, N = 3 SE +/- 88.84, N = 3 SE +/- 100.29, N = 3 SE +/- 93.46, N = 3 SE +/- 36.02, N = 3 3024.05 3032.55 3230.19 3674.27 4506.58 5717.26 5909.26 6955.53 8387.53 8849.73 10130.61 11239.19 11749.88 11782.77 11865.34 11978.84 16615.54 17243.37 21019.80 21376.10 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7532 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 4K 8K 12K 16K 20K Min: 3010.7 / Avg: 3024.05 / Max: 3046.1 Min: 3005.06 / Avg: 3032.55 / Max: 3056.68 Min: 3192.87 / Avg: 3230.19 / Max: 3299.1 Min: 3615.45 / Avg: 3674.27 / Max: 3732.59 Min: 4449.94 / Avg: 4506.58 / Max: 4537.94 Min: 5692.55 / Avg: 5717.26 / Max: 5747.29 Min: 5901.98 / Avg: 5909.26 / Max: 5913.34 Min: 6878.65 / Avg: 6955.53 / Max: 7020.43 Min: 8369.21 / Avg: 8387.53 / Max: 8408.46 Min: 8752.21 / Avg: 8849.73 / Max: 9012.83 Min: 10093.48 / Avg: 10130.61 / Max: 10154.39 Min: 11198.19 / Avg: 11239.19 / Max: 11302.04 Min: 11558.57 / Avg: 11749.88 / Max: 11864.54 Min: 11740.66 / Avg: 11782.77 / Max: 11809.98 Min: 11690.46 / Avg: 11865.34 / Max: 11960.53 Min: 11940.43 / Avg: 11978.84 / Max: 12012.32 Min: 16439.03 / Avg: 16615.54 / Max: 16721.45 Min: 17044.13 / Avg: 17243.37 / Max: 17363.05 Min: 20833.09 / Avg: 21019.8 / Max: 21120.92 Min: 21311.89 / Avg: 21376.1 / Max: 21436.5 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 7232P EPYC 7262 EPYC 7252 EPYC 7F32 EPYC 7272 EPYC 7302P EPYC 7F52 EPYC 7282 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7532 EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7662 6K 12K 18K 24K 30K SE +/- 37.46, N = 3 SE +/- 0.82, N = 3 SE +/- 6.17, N = 3 SE +/- 6.67, N = 3 SE +/- 5.52, N = 3 SE +/- 13.64, N = 3 SE +/- 0.93, N = 3 SE +/- 13.09, N = 3 SE +/- 13.62, N = 3 SE +/- 17.40, N = 3 SE +/- 24.25, N = 3 SE +/- 22.13, N = 3 SE +/- 16.15, N = 3 SE +/- 107.37, N = 3 SE +/- 61.05, N = 3 SE +/- 54.92, N = 3 SE +/- 14.24, N = 3 SE +/- 56.63, N = 3 SE +/- 20.84, N = 3 SE +/- 183.24, N = 3 4157.14 4376.88 4463.04 4813.33 6551.42 8843.63 9632.78 9710.46 11838.88 13267.26 14162.60 16112.28 16906.29 18723.61 19121.22 20075.53 22787.21 23914.70 26399.13 29381.07 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 7232P EPYC 7262 EPYC 7252 EPYC 7F32 EPYC 7272 EPYC 7302P EPYC 7F52 EPYC 7282 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7532 EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7662 5K 10K 15K 20K 25K Min: 4085.57 / Avg: 4157.14 / Max: 4212.12 Min: 4375.53 / Avg: 4376.88 / Max: 4378.35 Min: 4452.92 / Avg: 4463.04 / Max: 4474.2 Min: 4800.61 / Avg: 4813.33 / Max: 4823.16 Min: 6541.02 / Avg: 6551.42 / Max: 6559.83 Min: 8816.35 / Avg: 8843.63 / Max: 8857.35 Min: 9631.57 / Avg: 9632.78 / Max: 9634.61 Min: 9685.99 / Avg: 9710.46 / Max: 9730.76 Min: 11812.28 / Avg: 11838.88 / Max: 11857.28 Min: 13243.23 / Avg: 13267.26 / Max: 13301.06 Min: 14134.41 / Avg: 14162.6 / Max: 14210.87 Min: 16069.26 / Avg: 16112.28 / Max: 16142.81 Min: 16874.31 / Avg: 16906.29 / Max: 16926.14 Min: 18509.29 / Avg: 18723.61 / Max: 18842.47 Min: 19019.2 / Avg: 19121.22 / Max: 19230.34 Min: 19967.16 / Avg: 20075.53 / Max: 20145.19 Min: 22765.93 / Avg: 22787.21 / Max: 22814.23 Min: 23815.23 / Avg: 23914.7 / Max: 24011.34 Min: 26362.89 / Avg: 26399.13 / Max: 26435.08 Min: 29139.87 / Avg: 29381.07 / Max: 29740.62 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 7232P EPYC 7262 EPYC 7252 EPYC 7F32 EPYC 7272 EPYC 7302P EPYC 7282 EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7532 EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7662 6K 12K 18K 24K 30K SE +/- 6.39, N = 3 SE +/- 3.95, N = 3 SE +/- 5.11, N = 3 SE +/- 1.21, N = 3 SE +/- 8.61, N = 3 SE +/- 24.93, N = 3 SE +/- 47.23, N = 3 SE +/- 8.85, N = 3 SE +/- 7.81, N = 3 SE +/- 94.67, N = 3 SE +/- 29.68, N = 3 SE +/- 3.90, N = 3 SE +/- 61.19, N = 3 SE +/- 33.89, N = 3 SE +/- 95.18, N = 3 SE +/- 105.19, N = 3 SE +/- 48.36, N = 3 SE +/- 69.23, N = 3 SE +/- 21.64, N = 3 SE +/- 124.62, N = 3 4161.93 4377.26 4461.19 4791.20 6553.65 8690.07 9634.72 9658.17 11890.05 13173.76 14247.65 16165.30 16765.72 18654.33 18803.44 20072.56 22849.66 24039.13 26400.82 29367.21 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 7232P EPYC 7262 EPYC 7252 EPYC 7F32 EPYC 7272 EPYC 7302P EPYC 7282 EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7532 EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7662 5K 10K 15K 20K 25K Min: 4152.56 / Avg: 4161.93 / Max: 4174.13 Min: 4372.44 / Avg: 4377.26 / Max: 4385.09 Min: 4453.13 / Avg: 4461.19 / Max: 4470.66 Min: 4788.78 / Avg: 4791.2 / Max: 4792.51 Min: 6542.06 / Avg: 6553.65 / Max: 6570.47 Min: 8640.29 / Avg: 8690.07 / Max: 8717.28 Min: 9543.58 / Avg: 9634.72 / Max: 9701.76 Min: 9642.33 / Avg: 9658.17 / Max: 9672.92 Min: 11875.61 / Avg: 11890.05 / Max: 11902.45 Min: 12985.33 / Avg: 13173.76 / Max: 13284.11 Min: 14196.17 / Avg: 14247.65 / Max: 14299 Min: 16158.84 / Avg: 16165.3 / Max: 16172.32 Min: 16649.67 / Avg: 16765.72 / Max: 16857.38 Min: 18617.18 / Avg: 18654.33 / Max: 18722.01 Min: 18695.04 / Avg: 18803.44 / Max: 18993.16 Min: 19928.28 / Avg: 20072.56 / Max: 20277.29 Min: 22764.7 / Avg: 22849.66 / Max: 22932.16 Min: 23957.88 / Avg: 24039.13 / Max: 24176.84 Min: 26376.32 / Avg: 26400.82 / Max: 26443.96 Min: 29117.97 / Avg: 29367.21 / Max: 29493.71 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 90K 180K 270K 360K 450K SE +/- 11.30, N = 3 SE +/- 13.07, N = 3 SE +/- 14.51, N = 3 SE +/- 5.55, N = 3 SE +/- 7.74, N = 3 SE +/- 2.57, N = 3 SE +/- 1.03, N = 3 SE +/- 49.61, N = 3 SE +/- 6.59, N = 3 SE +/- 70.64, N = 3 SE +/- 478.76, N = 3 SE +/- 241.85, N = 3 SE +/- 154.60, N = 3 SE +/- 136.87, N = 3 SE +/- 170.79, N = 3 SE +/- 23.85, N = 3 SE +/- 446.26, N = 3 SE +/- 29.41, N = 3 SE +/- 83.51, N = 3 SE +/- 358.04, N = 3 57748.24 57789.41 61366.13 70550.59 87046.58 117313.44 120965.20 142745.02 164870.78 183035.44 198355.57 221038.57 231415.93 237815.92 237835.68 241837.62 327568.79 331524.05 396445.89 400119.36 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 70K 140K 210K 280K 350K Min: 57729.89 / Avg: 57748.24 / Max: 57768.83 Min: 57765.31 / Avg: 57789.41 / Max: 57810.22 Min: 61337.3 / Avg: 61366.13 / Max: 61383.41 Min: 70544.38 / Avg: 70550.59 / Max: 70561.67 Min: 87038.08 / Avg: 87046.58 / Max: 87062.04 Min: 117308.69 / Avg: 117313.44 / Max: 117317.53 Min: 120963.15 / Avg: 120965.2 / Max: 120966.42 Min: 142645.8 / Avg: 142745.02 / Max: 142795.63 Min: 164858.89 / Avg: 164870.78 / Max: 164881.64 Min: 182894.29 / Avg: 183035.44 / Max: 183111.31 Min: 197658.29 / Avg: 198355.57 / Max: 199272.52 Min: 220563.4 / Avg: 221038.57 / Max: 221354.45 Min: 231107.25 / Avg: 231415.93 / Max: 231585.92 Min: 237557.24 / Avg: 237815.92 / Max: 238022.8 Min: 237534.61 / Avg: 237835.68 / Max: 238125.95 Min: 241796.34 / Avg: 241837.62 / Max: 241878.96 Min: 327108.52 / Avg: 327568.79 / Max: 328461.17 Min: 331468.73 / Avg: 331524.05 / Max: 331569.02 Min: 396281.89 / Avg: 396445.89 / Max: 396555.31 Min: 399403.88 / Avg: 400119.36 / Max: 400502.51 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 3K 6K 9K 12K 15K SE +/- 0.55, N = 3 SE +/- 0.38, N = 3 SE +/- 0.64, N = 3 SE +/- 0.42, N = 3 SE +/- 0.72, N = 3 SE +/- 0.25, N = 3 SE +/- 0.80, N = 3 SE +/- 1.70, N = 3 SE +/- 0.65, N = 3 SE +/- 1.87, N = 3 SE +/- 9.11, N = 3 SE +/- 1.27, N = 3 SE +/- 3.92, N = 3 SE +/- 0.48, N = 3 SE +/- 0.83, N = 3 SE +/- 1.54, N = 3 SE +/- 2.07, N = 3 SE +/- 0.23, N = 3 SE +/- 6.95, N = 3 SE +/- 0.76, N = 3 1855.0 1878.6 1971.6 2264.8 2794.5 3757.1 3873.2 4574.4 5221.3 5854.8 6350.7 6850.1 7180.2 7393.3 7396.3 7757.8 9912.0 10299.8 11503.7 12330.2 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 2K 4K 6K 8K 10K Min: 1853.9 / Avg: 1855 / Max: 1855.6 Min: 1878 / Avg: 1878.63 / Max: 1879.3 Min: 1970.4 / Avg: 1971.57 / Max: 1972.6 Min: 2264.3 / Avg: 2264.77 / Max: 2265.6 Min: 2793.6 / Avg: 2794.47 / Max: 2795.9 Min: 3756.8 / Avg: 3757.1 / Max: 3757.6 Min: 3872.2 / Avg: 3873.23 / Max: 3874.8 Min: 4571.2 / Avg: 4574.37 / Max: 4577 Min: 5220 / Avg: 5221.3 / Max: 5222 Min: 5851.2 / Avg: 5854.77 / Max: 5857.5 Min: 6340.8 / Avg: 6350.7 / Max: 6368.9 Min: 6848.7 / Avg: 6850.07 / Max: 6852.6 Min: 7172.5 / Avg: 7180.17 / Max: 7185.4 Min: 7392.8 / Avg: 7393.33 / Max: 7394.3 Min: 7394.7 / Avg: 7396.27 / Max: 7397.5 Min: 7755.5 / Avg: 7757.77 / Max: 7760.7 Min: 9907.9 / Avg: 9912.03 / Max: 9914.1 Min: 10299.4 / Avg: 10299.83 / Max: 10300.2 Min: 11489.8 / Avg: 11503.67 / Max: 11511.3 Min: 12329 / Avg: 12330.2 / Max: 12331.6 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 200 400 600 800 1000 SE +/- 0.74, N = 3 SE +/- 1.02, N = 3 SE +/- 0.12, N = 3 SE +/- 0.90, N = 3 SE +/- 0.20, N = 3 SE +/- 0.32, N = 3 SE +/- 0.19, N = 3 SE +/- 0.27, N = 3 SE +/- 2.33, N = 3 SE +/- 3.07, N = 3 SE +/- 0.86, N = 3 SE +/- 0.23, N = 3 SE +/- 2.78, N = 3 SE +/- 0.71, N = 3 SE +/- 0.34, N = 3 SE +/- 4.13, N = 3 SE +/- 4.10, N = 3 SE +/- 4.53, N = 3 SE +/- 2.39, N = 3 SE +/- 5.03, N = 3 169.35 173.04 182.67 209.03 257.99 346.53 358.21 424.32 480.83 542.30 587.94 624.86 661.64 677.19 677.26 718.59 928.80 942.93 1099.57 1120.67 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 200 400 600 800 1000 Min: 167.87 / Avg: 169.35 / Max: 170.21 Min: 171.01 / Avg: 173.04 / Max: 174.18 Min: 182.43 / Avg: 182.67 / Max: 182.8 Min: 207.24 / Avg: 209.03 / Max: 210.15 Min: 257.74 / Avg: 257.99 / Max: 258.38 Min: 345.97 / Avg: 346.53 / Max: 347.07 Min: 357.94 / Avg: 358.21 / Max: 358.57 Min: 423.84 / Avg: 424.32 / Max: 424.79 Min: 477.89 / Avg: 480.83 / Max: 485.42 Min: 538.27 / Avg: 542.3 / Max: 548.34 Min: 587.03 / Avg: 587.94 / Max: 589.65 Min: 624.58 / Avg: 624.86 / Max: 625.31 Min: 658.47 / Avg: 661.64 / Max: 667.18 Min: 676.36 / Avg: 677.19 / Max: 678.59 Min: 676.7 / Avg: 677.26 / Max: 677.88 Min: 710.47 / Avg: 718.59 / Max: 723.95 Min: 923.85 / Avg: 928.8 / Max: 936.93 Min: 933.87 / Avg: 942.93 / Max: 947.76 Min: 1095.06 / Avg: 1099.57 / Max: 1103.18 Min: 1113.59 / Avg: 1120.67 / Max: 1130.41 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 3K 6K 9K 12K 15K SE +/- 3.27, N = 3 SE +/- 2.12, N = 3 SE +/- 0.52, N = 3 SE +/- 3.01, N = 3 SE +/- 4.50, N = 3 SE +/- 5.50, N = 3 SE +/- 5.14, N = 3 SE +/- 2.83, N = 3 SE +/- 6.01, N = 3 SE +/- 7.88, N = 3 SE +/- 6.75, N = 3 SE +/- 10.96, N = 3 SE +/- 9.13, N = 3 SE +/- 15.42, N = 3 SE +/- 1.37, N = 3 SE +/- 9.87, N = 3 SE +/- 8.63, N = 3 SE +/- 13.57, N = 3 SE +/- 10.21, N = 3 SE +/- 6.05, N = 3 1857.42 1858.39 1970.61 2267.19 2797.70 3772.31 3885.41 4581.63 5143.78 5832.21 6326.59 6720.45 7099.54 7283.56 7300.94 7737.59 10001.40 10062.21 12001.39 12124.64 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 2K 4K 6K 8K 10K Min: 1850.88 / Avg: 1857.42 / Max: 1860.74 Min: 1854.15 / Avg: 1858.39 / Max: 1860.71 Min: 1970.01 / Avg: 1970.61 / Max: 1971.64 Min: 2261.27 / Avg: 2267.19 / Max: 2271.11 Min: 2789 / Avg: 2797.7 / Max: 2804.07 Min: 3761.72 / Avg: 3772.31 / Max: 3780.18 Min: 3878.04 / Avg: 3885.41 / Max: 3895.31 Min: 4576.02 / Avg: 4581.63 / Max: 4585.09 Min: 5132.13 / Avg: 5143.78 / Max: 5152.17 Min: 5816.65 / Avg: 5832.21 / Max: 5842.15 Min: 6314.69 / Avg: 6326.59 / Max: 6338.06 Min: 6708.43 / Avg: 6720.45 / Max: 6742.34 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: 7722.55 / Avg: 7737.59 / Max: 7756.19 Min: 9984.14 / Avg: 10001.4 / Max: 10010.03 Min: 10045.71 / Avg: 10062.21 / Max: 10089.11 Min: 11981.26 / Avg: 12001.39 / Max: 12014.46 Min: 12118.46 / Avg: 12124.64 / Max: 12136.74 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 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 +/- 0.00, 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 = 7 SE +/- 0.00, N = 3 SE +/- 0.00, N = 6 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 0.76 0.79 0.85 0.92 1.18 1.57 1.64 1.86 2.13 2.43 2.61 2.80 2.90 3.01 3.02 3.20 4.14 4.17 4.84 4.96
Result Confidence
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: San Miguel - Renderer: Path Tracer EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 2 4 6 8 10 Min: 0.76 / Avg: 0.76 / Max: 0.76 Min: 0.78 / Avg: 0.79 / Max: 0.79 Min: 0.85 / Avg: 0.85 / Max: 0.86 Min: 0.92 / Avg: 0.92 / Max: 0.92 Min: 1.18 / Avg: 1.18 / Max: 1.19 Min: 1.56 / Avg: 1.57 / Max: 1.57 Min: 1.63 / Avg: 1.64 / Max: 1.64 Min: 1.86 / Avg: 1.86 / Max: 1.86 Min: 2.12 / Avg: 2.13 / Max: 2.13 Min: 2.43 / Avg: 2.43 / Max: 2.43 Min: 2.6 / Avg: 2.61 / Max: 2.61 Min: 2.79 / Avg: 2.8 / Max: 2.8 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: 3.19 / Avg: 3.2 / Max: 3.21 Min: 4.13 / Avg: 4.14 / Max: 4.15 Min: 4.17 / Avg: 4.17 / Max: 4.18 Min: 4.83 / Avg: 4.84 / Max: 4.85 Min: 4.95 / Avg: 4.96 / Max: 4.98
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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 4 8 12 16 20 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 SE +/- 0.005, N = 3 SE +/- 0.005, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, 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 +/- 0.003, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 17.441 17.146 16.427 14.278 11.566 8.645 8.323 7.046 6.409 5.596 5.069 4.882 4.640 4.501 4.501 4.190 3.286 3.253 2.746 2.725 1. (CC) gcc options: -static -fopenmp -O3 -march=native
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better N-Queens 1.0 Elapsed Time EPYC 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 4 8 12 16 20 Min: 17.43 / Avg: 17.44 / Max: 17.45 Min: 17.15 / Avg: 17.15 / Max: 17.15 Min: 16.42 / Avg: 16.43 / Max: 16.44 Min: 14.27 / Avg: 14.28 / Max: 14.29 Min: 11.56 / Avg: 11.57 / Max: 11.57 Min: 8.64 / Avg: 8.65 / Max: 8.65 Min: 8.32 / Avg: 8.32 / Max: 8.32 Min: 7.05 / Avg: 7.05 / Max: 7.05 Min: 6.41 / Avg: 6.41 / Max: 6.41 Min: 5.59 / Avg: 5.6 / Max: 5.6 Min: 5.07 / Avg: 5.07 / Max: 5.07 Min: 4.88 / Avg: 4.88 / Max: 4.88 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: 4.19 / Avg: 4.19 / Max: 4.2 Min: 3.28 / Avg: 3.29 / Max: 3.29 Min: 3.25 / Avg: 3.25 / Max: 3.26 Min: 2.74 / Avg: 2.75 / Max: 2.75 Min: 2.72 / Avg: 2.72 / Max: 2.73 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 160 320 480 640 800 SE +/- 0.66, N = 3 SE +/- 0.44, N = 3 SE +/- 0.57, N = 3 SE +/- 1.40, N = 8 SE +/- 1.17, N = 3 SE +/- 0.38, N = 3 SE +/- 0.63, N = 3 SE +/- 0.72, N = 3 SE +/- 0.58, N = 3 SE +/- 0.38, N = 3 SE +/- 0.05, N = 3 SE +/- 0.82, N = 3 SE +/- 1.34, N = 3 SE +/- 1.72, N = 3 SE +/- 1.14, N = 3 SE +/- 1.41, N = 3 SE +/- 0.84, N = 3 SE +/- 3.28, N = 3 SE +/- 1.11, N = 3 SE +/- 0.22, N = 3 112.92 113.46 120.20 136.68 170.19 227.20 236.25 278.96 309.62 355.44 382.48 399.46 420.92 435.96 437.71 466.71 593.06 601.79 712.74 720.68 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: Glibc Qsort Data Sorting EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 130 260 390 520 650 Min: 111.63 / Avg: 112.92 / Max: 113.77 Min: 112.6 / Avg: 113.46 / Max: 114.07 Min: 119.6 / Avg: 120.2 / Max: 121.33 Min: 127.17 / Avg: 136.68 / Max: 139.47 Min: 168.1 / Avg: 170.19 / Max: 172.13 Min: 226.63 / Avg: 227.2 / Max: 227.93 Min: 235.37 / Avg: 236.25 / Max: 237.47 Min: 277.53 / Avg: 278.96 / Max: 279.87 Min: 308.5 / Avg: 309.62 / Max: 310.43 Min: 354.83 / Avg: 355.44 / Max: 356.13 Min: 382.4 / Avg: 382.48 / Max: 382.57 Min: 398.4 / Avg: 399.46 / Max: 401.07 Min: 418.33 / Avg: 420.92 / Max: 422.83 Min: 432.87 / Avg: 435.96 / Max: 438.83 Min: 435.47 / Avg: 437.71 / Max: 439.17 Min: 464.07 / Avg: 466.71 / Max: 468.9 Min: 591.77 / Avg: 593.06 / Max: 594.63 Min: 595.33 / Avg: 601.79 / Max: 606.03 Min: 711.33 / Avg: 712.74 / Max: 714.93 Min: 720.27 / Avg: 720.68 / Max: 721 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 7262 EPYC 7232P EPYC 7282 EPYC 7F32 EPYC 7252 EPYC 7272 EPYC 7452 EPYC 7352 EPYC 7302P EPYC 7402P EPYC 7542 EPYC 7532 EPYC 7502 EPYC 7552 EPYC 7F52 EPYC 7702 EPYC 7502P EPYC 7F72 EPYC 7662 EPYC 7642 3 6 9 12 15 SE +/- 0.50723, N = 15 SE +/- 0.13039, N = 15 SE +/- 0.10035, N = 15 SE +/- 0.05477, N = 15 SE +/- 0.02644, N = 3 SE +/- 0.05931, N = 3 SE +/- 0.05039, N = 15 SE +/- 0.02418, N = 15 SE +/- 0.01628, N = 3 SE +/- 0.02820, N = 15 SE +/- 0.02197, N = 3 SE +/- 0.01911, N = 3 SE +/- 0.03542, N = 15 SE +/- 0.02747, N = 3 SE +/- 0.00248, N = 3 SE +/- 0.02328, N = 3 SE +/- 0.01793, N = 3 SE +/- 0.00666, N = 3 SE +/- 0.01653, N = 3 SE +/- 0.00682, N = 3 9.46298 6.82638 6.45984 5.44456 5.17763 4.48168 3.88529 2.82041 2.62891 2.40689 2.23648 2.22779 2.18360 2.02167 1.99596 1.80818 1.75183 1.64585 1.63132 1.48624 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 7262 EPYC 7232P EPYC 7282 EPYC 7F32 EPYC 7252 EPYC 7272 EPYC 7452 EPYC 7352 EPYC 7302P EPYC 7402P EPYC 7542 EPYC 7532 EPYC 7502 EPYC 7552 EPYC 7F52 EPYC 7702 EPYC 7502P EPYC 7F72 EPYC 7662 EPYC 7642 3 6 9 12 15 Min: 7.06 / Avg: 9.46 / Max: 14.82 Min: 6.08 / Avg: 6.83 / Max: 7.88 Min: 5.52 / Avg: 6.46 / Max: 6.84 Min: 4.89 / Avg: 5.44 / Max: 5.67 Min: 5.13 / Avg: 5.18 / Max: 5.22 Min: 4.42 / Avg: 4.48 / Max: 4.6 Min: 3.5 / Avg: 3.89 / Max: 4.21 Min: 2.58 / Avg: 2.82 / Max: 2.96 Min: 2.6 / Avg: 2.63 / Max: 2.65 Min: 2.22 / Avg: 2.41 / Max: 2.56 Min: 2.21 / Avg: 2.24 / Max: 2.28 Min: 2.2 / Avg: 2.23 / Max: 2.26 Min: 2.03 / Avg: 2.18 / Max: 2.59 Min: 1.99 / Avg: 2.02 / Max: 2.08 Min: 1.99 / Avg: 2 / Max: 2 Min: 1.78 / Avg: 1.81 / Max: 1.85 Min: 1.72 / Avg: 1.75 / Max: 1.77 Min: 1.64 / Avg: 1.65 / Max: 1.66 Min: 1.6 / Avg: 1.63 / Max: 1.66 Min: 1.47 / Avg: 1.49 / Max: 1.49 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 20 40 60 80 100 SE +/- 0.02, N = 3 SE +/- 0.04, 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 +/- 0.00, N = 3 SE +/- 0.04, N = 3 SE +/- 0.09, N = 3 SE +/- 0.02, 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 +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 89.47 88.09 84.25 73.26 59.45 44.20 42.81 36.27 32.77 28.73 26.08 25.00 23.79 23.22 23.21 21.71 16.95 16.79 14.31 14.18 1. (CXX) g++ options: -fopenmp -O2 -march=native
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better m-queens 1.2 Time To Solve EPYC 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 20 40 60 80 100 Min: 89.42 / Avg: 89.47 / Max: 89.5 Min: 88.03 / Avg: 88.09 / Max: 88.15 Min: 84.23 / Avg: 84.25 / Max: 84.26 Min: 73.23 / Avg: 73.26 / Max: 73.27 Min: 59.41 / Avg: 59.45 / Max: 59.46 Min: 44.14 / Avg: 44.2 / Max: 44.24 Min: 42.79 / Avg: 42.81 / Max: 42.83 Min: 36.26 / Avg: 36.27 / Max: 36.28 Min: 32.69 / Avg: 32.77 / Max: 32.84 Min: 28.62 / Avg: 28.73 / Max: 28.91 Min: 26.06 / Avg: 26.08 / Max: 26.11 Min: 24.97 / Avg: 25 / Max: 25.03 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: 21.67 / Avg: 21.71 / Max: 21.75 Min: 16.89 / Avg: 16.94 / Max: 17.02 Min: 16.76 / Avg: 16.79 / Max: 16.83 Min: 14.26 / Avg: 14.31 / Max: 14.34 Min: 14.11 / Avg: 14.18 / Max: 14.21 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 20 40 60 80 100 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 81.67 80.54 76.84 66.97 54.25 40.67 39.16 33.24 29.96 26.19 24.00 23.05 21.86 21.36 21.31 19.93 15.63 15.44 13.14 13.06 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 16 32 48 64 80 Min: 81.58 / Avg: 81.67 / Max: 81.81 Min: 80.51 / Avg: 80.54 / Max: 80.6 Min: 76.81 / Avg: 76.84 / Max: 76.87 Min: 66.85 / Avg: 66.97 / Max: 67.05 Min: 54.23 / Avg: 54.25 / Max: 54.27 Min: 40.63 / Avg: 40.67 / Max: 40.74 Min: 39.14 / Avg: 39.16 / Max: 39.19 Min: 33.19 / Avg: 33.24 / Max: 33.27 Min: 29.93 / Avg: 29.95 / Max: 30 Min: 26.14 / Avg: 26.19 / Max: 26.28 Min: 23.84 / Avg: 24 / Max: 24.1 Min: 23 / Avg: 23.05 / Max: 23.09 Min: 21.84 / Avg: 21.86 / Max: 21.88 Min: 21.28 / Avg: 21.36 / Max: 21.47 Min: 21.3 / Avg: 21.31 / Max: 21.33 Min: 19.88 / Avg: 19.93 / Max: 19.98 Min: 15.59 / Avg: 15.62 / Max: 15.65 Min: 15.35 / Avg: 15.44 / Max: 15.48 Min: 13.11 / Avg: 13.14 / Max: 13.19 Min: 12.99 / Avg: 13.06 / Max: 13.1 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 4M 8M 12M 16M 20M SE +/- 22526.16, N = 3 SE +/- 24650.01, N = 3 SE +/- 23350.93, N = 3 SE +/- 28186.41, N = 3 SE +/- 38644.74, N = 3 SE +/- 50833.87, N = 3 SE +/- 9769.89, N = 3 SE +/- 29716.88, N = 3 SE +/- 52003.80, N = 3 SE +/- 50217.68, N = 3 SE +/- 94521.27, N = 3 SE +/- 81230.48, N = 15 SE +/- 138168.08, N = 3 SE +/- 98762.81, N = 15 SE +/- 102325.96, N = 15 SE +/- 120996.14, N = 9 SE +/- 155445.81, N = 15 SE +/- 94951.48, N = 3 SE +/- 107878.70, N = 3 SE +/- 205768.32, N = 15 2970114.52 3005936.07 3316915.90 3819891.88 4389316.13 6096293.69 6603833.68 7756545.05 7892972.46 9536005.30 10203563.10 10457029.31 11066825.63 11286825.41 11355107.69 12327310.61 15435223.91 15626973.32 18405418.22 18566893.62 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 3M 6M 9M 12M 15M Min: 2928072.83 / Avg: 2970114.52 / Max: 3005158.75 Min: 2970471.06 / Avg: 3005936.07 / Max: 3053325.69 Min: 3279882.3 / Avg: 3316915.9 / Max: 3360073.76 Min: 3764412.74 / Avg: 3819891.88 / Max: 3856289.94 Min: 4331161.98 / Avg: 4389316.13 / Max: 4462481.97 Min: 6009495.73 / Avg: 6096293.69 / Max: 6185538.41 Min: 6589281.5 / Avg: 6603833.68 / Max: 6622402.6 Min: 7715369.06 / Avg: 7756545.05 / Max: 7814250.19 Min: 7839201.21 / Avg: 7892972.46 / Max: 7996959.81 Min: 9465830.97 / Avg: 9536005.3 / Max: 9633318.81 Min: 10029895.8 / Avg: 10203563.1 / Max: 10355069.48 Min: 10056342.93 / Avg: 10457029.31 / Max: 11037543.2 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: 11704204.82 / Avg: 12327310.61 / Max: 12869252.45 Min: 14410372.44 / Avg: 15435223.91 / Max: 16355719.87 Min: 15485009.26 / Avg: 15626973.32 / Max: 15807189.08 Min: 18267832.08 / Avg: 18405418.22 / Max: 18618141.77 Min: 17260837.8 / Avg: 18566893.62 / Max: 19589156.55 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 7262 EPYC 7252 EPYC 7232P EPYC 7F32 EPYC 7272 EPYC 7302P EPYC 7F52 EPYC 7282 EPYC 7352 EPYC 7F72 EPYC 7402P EPYC 7532 EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 4 8 12 16 20 SE +/- 0.00870, N = 3 SE +/- 0.04289, N = 3 SE +/- 0.02292, N = 3 SE +/- 0.07675, N = 3 SE +/- 0.15066, N = 12 SE +/- 0.04114, N = 3 SE +/- 0.06206, N = 3 SE +/- 0.07563, N = 3 SE +/- 0.08801, N = 3 SE +/- 0.07025, N = 3 SE +/- 0.19470, N = 15 SE +/- 0.01224, N = 3 SE +/- 0.02491, N = 3 SE +/- 0.01621, N = 3 SE +/- 0.05097, N = 3 SE +/- 0.02211, N = 3 SE +/- 0.00797, N = 3 SE +/- 0.00856, N = 3 SE +/- 0.02803, N = 3 SE +/- 0.02153, N = 3 15.31620 14.90570 14.66750 14.13350 9.86575 8.32494 7.84641 7.69441 6.22912 5.78518 5.44209 4.76807 4.74513 4.50760 4.47693 4.46722 3.30455 3.30193 2.55026 2.46068 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 7262 EPYC 7252 EPYC 7232P EPYC 7F32 EPYC 7272 EPYC 7302P EPYC 7F52 EPYC 7282 EPYC 7352 EPYC 7F72 EPYC 7402P EPYC 7532 EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 4 8 12 16 20 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 Min: 13.98 / Avg: 14.13 / Max: 14.24 Min: 8.21 / Avg: 9.87 / Max: 10.09 Min: 8.25 / Avg: 8.32 / Max: 8.4 Min: 7.74 / Avg: 7.85 / Max: 7.96 Min: 7.58 / Avg: 7.69 / Max: 7.84 Min: 6.06 / Avg: 6.23 / Max: 6.36 Min: 5.65 / Avg: 5.79 / Max: 5.87 Min: 4.39 / Avg: 5.44 / Max: 6.04 Min: 4.75 / Avg: 4.77 / Max: 4.79 Min: 4.71 / Avg: 4.75 / Max: 4.79 Min: 4.49 / Avg: 4.51 / Max: 4.54 Min: 4.38 / Avg: 4.48 / Max: 4.56 Min: 4.43 / Avg: 4.47 / Max: 4.51 Min: 3.29 / Avg: 3.3 / Max: 3.32 Min: 3.29 / Avg: 3.3 / Max: 3.32 Min: 2.5 / Avg: 2.55 / Max: 2.6 Min: 2.42 / Avg: 2.46 / Max: 2.48 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 900K 1800K 2700K 3600K 4500K SE +/- 1989.22, N = 3 SE +/- 1479.80, N = 3 SE +/- 1052.26, N = 3 SE +/- 5929.17, N = 3 SE +/- 2590.75, N = 3 SE +/- 4630.81, N = 3 SE +/- 2403.70, N = 3 SE +/- 4630.81, N = 3 SE +/- 2645.75, N = 3 SE +/- 3179.80, N = 3 SE +/- 5811.87, N = 3 SE +/- 9504.38, N = 3 SE +/- 6437.74, N = 3 SE +/- 4932.88, N = 3 SE +/- 7218.80, N = 3 SE +/- 17776.39, N = 3 SE +/- 3055.05, N = 3 SE +/- 10503.97, N = 3 SE +/- 12490.00, N = 3 664064 720571 757145 806656 995857 1356000 1454667 1700333 1709333 2121000 2311333 2361667 2510000 2579667 2588000 2779333 3511000 3528000 3723000 4116000 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 700K 1400K 2100K 2800K 3500K Min: 661401 / Avg: 664063.67 / Max: 667955 Min: 717619 / Avg: 720571.33 / Max: 722227 Min: 755046 / Avg: 757145.33 / Max: 758323 Min: 795187 / Avg: 806655.67 / Max: 815001 Min: 990720 / Avg: 995856.67 / Max: 999014 Min: 1447000 / Avg: 1454666.67 / Max: 1463000 Min: 1697000 / Avg: 1700333.33 / Max: 1705000 Min: 1701000 / Avg: 1709333.33 / Max: 1717000 Min: 2116000 / Avg: 2121000 / Max: 2125000 Min: 2306000 / Avg: 2311333.33 / Max: 2317000 Min: 2351000 / Avg: 2361666.67 / Max: 2371000 Min: 2500000 / Avg: 2510000 / Max: 2529000 Min: 2567000 / Avg: 2579666.67 / Max: 2588000 Min: 2580000 / Avg: 2588000 / Max: 2597000 Min: 2765000 / Avg: 2779333.33 / Max: 2788000 Min: 3485000 / Avg: 3511000 / Max: 3545000 Min: 3522000 / Avg: 3528000 / Max: 3532000 Min: 3702000 / Avg: 3723000 / Max: 3734000 Min: 4098000 / Avg: 4116000 / Max: 4140000 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 30K 60K 90K 120K 150K SE +/- 13.61, N = 3 SE +/- 15.12, N = 3 SE +/- 5.72, N = 3 SE +/- 34.12, N = 3 SE +/- 17.03, N = 3 SE +/- 13.79, N = 3 SE +/- 18.89, N = 3 SE +/- 137.58, N = 3 SE +/- 25.21, N = 3 SE +/- 20.42, N = 3 SE +/- 30.11, N = 3 SE +/- 29.25, N = 3 SE +/- 12.96, N = 3 SE +/- 24.82, N = 3 SE +/- 15.94, N = 3 SE +/- 28.23, N = 3 SE +/- 57.23, N = 3 SE +/- 90.90, N = 3 SE +/- 54.79, N = 3 SE +/- 48.31, N = 3 23857.54 24167.85 25324.35 29153.01 35923.30 46844.14 49828.66 58522.66 63293.53 73241.35 79756.26 82555.86 87239.10 89791.60 89843.27 96854.95 123029.76 123965.62 146423.18 147145.81 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 30K 60K 90K 120K 150K Min: 23830.34 / Avg: 23857.54 / Max: 23872.07 Min: 24150.37 / Avg: 24167.85 / Max: 24197.95 Min: 25312.96 / Avg: 25324.35 / Max: 25330.81 Min: 29096.71 / Avg: 29153.01 / Max: 29214.55 Min: 35891.06 / Avg: 35923.3 / Max: 35948.91 Min: 46826.92 / Avg: 46844.14 / Max: 46871.41 Min: 49793.43 / Avg: 49828.66 / Max: 49858.12 Min: 58360.01 / Avg: 58522.66 / Max: 58796.19 Min: 63244.31 / Avg: 63293.53 / Max: 63327.58 Min: 73200.79 / Avg: 73241.35 / Max: 73265.78 Min: 79706.26 / Avg: 79756.26 / Max: 79810.34 Min: 82521.84 / Avg: 82555.86 / Max: 82614.09 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: 96817.27 / Avg: 96854.95 / Max: 96910.2 Min: 122953.6 / Avg: 123029.76 / Max: 123141.84 Min: 123874.35 / Avg: 123965.62 / Max: 124147.41 Min: 146314.98 / Avg: 146423.18 / Max: 146492.38 Min: 147064.91 / Avg: 147145.81 / Max: 147232.02 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 30M 60M 90M 120M 150M SE +/- 210051.05, N = 3 SE +/- 110676.68, N = 3 SE +/- 33967.30, N = 3 SE +/- 170891.29, N = 3 SE +/- 116150.13, N = 3 SE +/- 143183.39, N = 3 SE +/- 154040.64, N = 3 SE +/- 360191.07, N = 3 SE +/- 93520.98, N = 3 SE +/- 385170.47, N = 3 SE +/- 479570.41, N = 3 SE +/- 528676.50, N = 3 SE +/- 517707.55, N = 3 SE +/- 479922.60, N = 3 SE +/- 192516.87, N = 3 SE +/- 717031.41, N = 3 SE +/- 75175.84, N = 3 SE +/- 548666.83, N = 3 SE +/- 1059441.52, N = 3 SE +/- 1025327.97, N = 3 20263553 20759851 21011732 23766693 30255678 39581259 41704153 46994090 54004216 60811617 65253280 70506630 73756703 75761184 76837283 80669002 102074873 102795064 120547124 124216434 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 20M 40M 60M 80M 100M Min: 20000037 / Avg: 20263553 / Max: 20678655 Min: 20550233 / Avg: 20759851 / Max: 20926249 Min: 20961304 / Avg: 21011732 / Max: 21076368 Min: 23555785 / Avg: 23766693 / Max: 24105063 Min: 30066185 / Avg: 30255678 / Max: 30466794 Min: 39360150 / Avg: 39581259.33 / Max: 39849413 Min: 41396712 / Avg: 41704153.33 / Max: 41875062 Min: 46597321 / Avg: 46994090 / Max: 47713189 Min: 53817366 / Avg: 54004216.33 / Max: 54104972 Min: 60059394 / Avg: 60811616.67 / Max: 61331567 Min: 64378102 / Avg: 65253280 / Max: 66030738 Min: 69730749 / Avg: 70506629.67 / Max: 71516666 Min: 72731896 / Avg: 73756703 / Max: 74397135 Min: 75056297 / Avg: 75761184 / Max: 76677833 Min: 76493767 / Avg: 76837283.33 / Max: 77159659 Min: 79334347 / Avg: 80669001.67 / Max: 81790669 Min: 101934223 / Avg: 102074873.33 / Max: 102191213 Min: 101701713 / Avg: 102795064.33 / Max: 103422629 Min: 118647013 / Avg: 120547124.33 / Max: 122309234 Min: 123082836 / Avg: 124216434.33 / Max: 126263135 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 1.3M 2.6M 3.9M 5.2M 6.5M SE +/- 16159.45, N = 3 SE +/- 5330.86, N = 3 SE +/- 6324.41, N = 3 SE +/- 29450.71, N = 15 SE +/- 9958.10, N = 3 SE +/- 16555.91, N = 3 SE +/- 11537.25, N = 3 SE +/- 5912.49, N = 3 SE +/- 39675.39, N = 3 SE +/- 20548.42, N = 3 SE +/- 32794.20, N = 15 SE +/- 16272.59, N = 3 SE +/- 19986.48, N = 3 SE +/- 22554.93, N = 3 SE +/- 122.33, N = 3 SE +/- 19652.38, N = 3 SE +/- 2133.81, N = 3 SE +/- 57546.11, N = 7 SE +/- 56345.22, N = 11 SE +/- 62679.17, N = 3 1025514.98 1042243.13 1111691.92 1219801.83 1581427.47 2047387.05 2200579.05 2550932.98 2717558.27 3211403.37 3377578.53 3590511.09 3784170.30 3849752.30 3891895.56 4246337.42 5302329.11 5327299.96 6245020.15 6286052.68 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: Glibc C String Functions EPYC 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 1.1M 2.2M 3.3M 4.4M 5.5M Min: 1008034.14 / Avg: 1025514.98 / Max: 1057796.82 Min: 1034794.36 / Avg: 1042243.13 / Max: 1052573.66 Min: 1099493.97 / Avg: 1111691.92 / Max: 1120689.51 Min: 943860.7 / Avg: 1219801.83 / Max: 1294121.56 Min: 1562684.88 / Avg: 1581427.47 / Max: 1596632.09 Min: 2014313.38 / Avg: 2047387.05 / Max: 2065300.15 Min: 2184229.94 / Avg: 2200579.05 / Max: 2222855.19 Min: 2539123.49 / Avg: 2550932.98 / Max: 2557361.85 Min: 2652908.17 / Avg: 2717558.27 / Max: 2789729.05 Min: 3170306.61 / Avg: 3211403.37 / Max: 3232024.23 Min: 3136220.09 / Avg: 3377578.53 / Max: 3500588.06 Min: 3561427.51 / Avg: 3590511.09 / Max: 3617702.01 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: 4207123.49 / Avg: 4246337.42 / Max: 4268257.26 Min: 5298085.1 / Avg: 5302329.11 / Max: 5304839.4 Min: 4997687.02 / Avg: 5327299.96 / Max: 5414332.63 Min: 5736425.83 / Avg: 6245020.15 / Max: 6430106.78 Min: 6222889.08 / Avg: 6286052.68 / Max: 6411409.76 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 140K 280K 420K 560K 700K 103756 104822 105887 116858 157819 198305 203319 218441 259728 295105 317830 339539 345756 363429 376690 401222 515657 521818 627953 635485 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7662 11 22 33 44 55 SE +/- 0.0256, N = 3 SE +/- 0.0147, N = 3 SE +/- 0.0216, N = 3 SE +/- 0.0320, N = 3 SE +/- 0.0321, N = 3 SE +/- 0.0244, N = 3 SE +/- 0.0400, N = 3 SE +/- 0.1215, N = 3 SE +/- 0.0273, N = 3 SE +/- 0.0331, N = 3 SE +/- 0.0143, N = 3 SE +/- 0.0422, N = 3 SE +/- 0.0427, N = 3 SE +/- 0.0731, N = 3 SE +/- 0.0548, N = 3 SE +/- 0.0422, N = 3 SE +/- 0.0207, N = 3 SE +/- 0.0515, N = 3 SE +/- 0.0803, N = 3 SE +/- 0.1030, N = 3 7.8320 8.0257 8.4046 9.3919 12.1514 15.7939 16.7132 18.7936 21.1889 24.3318 26.1195 27.6834 28.7846 30.0539 30.1246 32.0731 40.4891 40.7103 46.9800 47.8444
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer ISPC - Model: Crown EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7662 10 20 30 40 50 Min: 7.8 / Avg: 7.83 / Max: 7.88 Min: 8 / Avg: 8.03 / Max: 8.05 Min: 8.36 / Avg: 8.4 / Max: 8.43 Min: 9.35 / Avg: 9.39 / Max: 9.45 Min: 12.09 / Avg: 12.15 / Max: 12.19 Min: 15.75 / Avg: 15.79 / Max: 15.83 Min: 16.63 / Avg: 16.71 / Max: 16.77 Min: 18.63 / Avg: 18.79 / Max: 19.03 Min: 21.14 / Avg: 21.19 / Max: 21.24 Min: 24.3 / Avg: 24.33 / Max: 24.4 Min: 26.1 / Avg: 26.12 / Max: 26.15 Min: 27.6 / Avg: 27.68 / Max: 27.73 Min: 28.71 / Avg: 28.78 / Max: 28.86 Min: 29.97 / Avg: 30.05 / Max: 30.2 Min: 30.02 / Avg: 30.12 / Max: 30.2 Min: 31.99 / Avg: 32.07 / Max: 32.12 Min: 40.46 / Avg: 40.49 / Max: 40.53 Min: 40.64 / Avg: 40.71 / Max: 40.81 Min: 46.89 / Avg: 46.98 / Max: 47.14 Min: 47.71 / Avg: 47.84 / Max: 48.05
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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7662 200K 400K 600K 800K 1000K SE +/- 935.52, N = 3 SE +/- 385.55, N = 3 SE +/- 157.88, N = 3 SE +/- 314.41, N = 3 SE +/- 828.02, N = 3 SE +/- 983.22, N = 3 SE +/- 747.28, N = 3 SE +/- 247.10, N = 3 SE +/- 2381.51, N = 3 SE +/- 1659.30, N = 3 SE +/- 1237.62, N = 3 SE +/- 1300.37, N = 3 SE +/- 1060.79, N = 3 SE +/- 698.73, N = 3 SE +/- 2101.53, N = 3 SE +/- 163.34, N = 3 SE +/- 3994.82, N = 3 SE +/- 2858.95, N = 3 SE +/- 3428.94, N = 3 SE +/- 439.48, N = 3 174275 190059 203359 231128 278597 356559 384689 449472 479150 554557 602322 623136 629507 680113 682046 733943 908863 914347 1043587 1060976 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7662 200K 400K 600K 800K 1000K Min: 172542.45 / Avg: 174274.56 / Max: 175753.34 Min: 189289.03 / Avg: 190059.49 / Max: 190471.93 Min: 203075.46 / Avg: 203358.71 / Max: 203621.17 Min: 230581.84 / Avg: 231127.53 / Max: 231670.99 Min: 277146.26 / Avg: 278597.12 / Max: 280014 Min: 354891.14 / Avg: 356559.36 / Max: 358295.09 Min: 383335.36 / Avg: 384688.76 / Max: 385914.57 Min: 449071.78 / Avg: 449472.37 / Max: 449923.29 Min: 474924.16 / Avg: 479150.29 / Max: 483165.89 Min: 551482.14 / Avg: 554557.27 / Max: 557175.36 Min: 599951.34 / Avg: 602321.79 / Max: 604124.16 Min: 620536.19 / Avg: 623136.4 / Max: 624482.31 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: 733728.54 / Avg: 733942.94 / Max: 734263.61 Min: 901023.8 / Avg: 908863.23 / Max: 914118.29 Min: 910647.35 / Avg: 914347.4 / Max: 919972.73 Min: 1038320.6 / Avg: 1043587.2 / Max: 1050024.46 Min: 1060178.1 / Avg: 1060975.86 / Max: 1061694.29 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7F72 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 1.3253 2.6506 3.9759 5.3012 6.6265 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 +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 8 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 5 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 0.97 1.02 1.12 1.21 1.50 1.91 2.10 2.45 2.59 2.99 3.35 3.35 3.60 3.69 3.71 3.95 5.01 5.06 5.77 5.89
Result Confidence
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: XFrog Forest - Renderer: Path Tracer EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7F72 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 2 4 6 8 10 Min: 0.97 / Avg: 0.97 / Max: 0.98 Min: 1.02 / Avg: 1.02 / Max: 1.02 Min: 1.12 / Avg: 1.12 / Max: 1.12 Min: 1.21 / Avg: 1.21 / Max: 1.22 Min: 1.5 / Avg: 1.5 / Max: 1.51 Min: 1.9 / Avg: 1.91 / Max: 1.91 Min: 2.1 / Avg: 2.1 / Max: 2.1 Min: 2.44 / Avg: 2.45 / Max: 2.46 Min: 2.58 / Avg: 2.59 / Max: 2.59 Min: 2.99 / Avg: 2.99 / Max: 3 Min: 3.34 / Avg: 3.35 / Max: 3.36 Min: 3.34 / Avg: 3.35 / Max: 3.36 Min: 3.58 / Avg: 3.6 / Max: 3.61 Min: 3.68 / Avg: 3.69 / Max: 3.69 Min: 3.7 / Avg: 3.71 / Max: 3.72 Min: 3.94 / Avg: 3.95 / Max: 3.95 Min: 5 / Avg: 5.01 / Max: 5.03 Min: 5.05 / Avg: 5.06 / Max: 5.08 Min: 5.75 / Avg: 5.77 / Max: 5.78 Min: 5.88 / Avg: 5.89 / Max: 5.92
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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 11 22 33 44 55 SE +/- 0.0338, N = 3 SE +/- 0.0025, N = 3 SE +/- 0.0426, N = 3 SE +/- 0.0274, N = 3 SE +/- 0.0069, N = 3 SE +/- 0.0125, N = 3 SE +/- 0.1564, N = 3 SE +/- 0.0122, N = 3 SE +/- 0.0388, N = 3 SE +/- 0.0199, N = 3 SE +/- 0.0580, N = 3 SE +/- 0.0437, N = 3 SE +/- 0.0542, N = 3 SE +/- 0.3292, N = 3 SE +/- 0.0479, N = 3 SE +/- 0.0447, N = 3 SE +/- 0.0627, N = 3 SE +/- 0.0818, N = 3 SE +/- 0.2108, N = 3 SE +/- 0.1026, N = 3 8.1763 8.3957 8.8254 9.8471 12.6906 16.4495 17.3250 19.7680 22.0671 25.4338 27.4844 28.6727 29.8188 31.0041 31.1622 33.3894 42.2680 42.4040 48.7032 49.5785
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer - Model: Crown EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 10 20 30 40 50 Min: 8.11 / Avg: 8.18 / Max: 8.23 Min: 8.39 / Avg: 8.4 / Max: 8.4 Min: 8.76 / Avg: 8.83 / Max: 8.91 Min: 9.79 / Avg: 9.85 / Max: 9.89 Min: 12.68 / Avg: 12.69 / Max: 12.7 Min: 16.43 / Avg: 16.45 / Max: 16.47 Min: 17.03 / Avg: 17.33 / Max: 17.57 Min: 19.75 / Avg: 19.77 / Max: 19.79 Min: 22.01 / Avg: 22.07 / Max: 22.14 Min: 25.4 / Avg: 25.43 / Max: 25.46 Min: 27.39 / Avg: 27.48 / Max: 27.59 Min: 28.6 / Avg: 28.67 / Max: 28.75 Min: 29.74 / Avg: 29.82 / Max: 29.92 Min: 30.36 / Avg: 31 / Max: 31.43 Min: 31.07 / Avg: 31.16 / Max: 31.23 Min: 33.3 / Avg: 33.39 / Max: 33.44 Min: 42.15 / Avg: 42.27 / Max: 42.37 Min: 42.24 / Avg: 42.4 / Max: 42.51 Min: 48.33 / Avg: 48.7 / Max: 49.06 Min: 49.46 / Avg: 49.58 / Max: 49.78
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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7662 30 60 90 120 150 SE +/- 0.12, N = 3 SE +/- 0.23, N = 3 SE +/- 0.07, N = 3 SE +/- 0.08, N = 3 SE +/- 0.53, N = 3 SE +/- 0.36, N = 3 SE +/- 0.18, N = 3 SE +/- 0.07, N = 3 SE +/- 0.21, N = 3 SE +/- 0.09, N = 3 SE +/- 0.13, N = 3 SE +/- 0.14, N = 3 SE +/- 0.06, N = 3 SE +/- 0.53, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.26, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 116.86 114.04 109.38 95.81 78.77 60.12 55.83 47.15 45.00 37.90 34.73 34.17 32.65 31.64 31.11 28.88 23.14 23.06 19.56 19.29 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7662 20 40 60 80 100 Min: 116.64 / Avg: 116.86 / Max: 117.07 Min: 113.61 / Avg: 114.04 / Max: 114.42 Min: 109.26 / Avg: 109.38 / Max: 109.51 Min: 95.7 / Avg: 95.81 / Max: 95.96 Min: 77.86 / Avg: 78.77 / Max: 79.69 Min: 59.52 / Avg: 60.12 / Max: 60.75 Min: 55.59 / Avg: 55.83 / Max: 56.17 Min: 47 / Avg: 47.15 / Max: 47.23 Min: 44.77 / Avg: 45 / Max: 45.43 Min: 37.78 / Avg: 37.9 / Max: 38.07 Min: 34.46 / Avg: 34.73 / Max: 34.87 Min: 33.93 / Avg: 34.17 / Max: 34.43 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: 28.86 / Avg: 28.88 / Max: 28.92 Min: 22.64 / Avg: 23.14 / Max: 23.51 Min: 23.04 / Avg: 23.06 / Max: 23.07 Min: 19.49 / Avg: 19.56 / Max: 19.64 Min: 19.17 / Avg: 19.29 / Max: 19.41 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7662 0.3229 0.6458 0.9687 1.2916 1.6145 SE +/- 0.008, N = 3 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.003, 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 +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 1.435 1.316 1.230 1.082 0.898 0.702 0.650 0.557 0.522 0.451 0.415 0.402 0.398 0.368 0.367 0.341 0.276 0.274 0.241 0.237 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7662 2 4 6 8 10 Min: 1.42 / Avg: 1.44 / Max: 1.45 Min: 1.31 / Avg: 1.32 / Max: 1.32 Min: 1.23 / Avg: 1.23 / Max: 1.23 Min: 1.08 / Avg: 1.08 / Max: 1.09 Min: 0.89 / Avg: 0.9 / Max: 0.9 Min: 0.7 / Avg: 0.7 / Max: 0.71 Min: 0.65 / Avg: 0.65 / Max: 0.65 Min: 0.56 / Avg: 0.56 / Max: 0.56 Min: 0.52 / Avg: 0.52 / Max: 0.53 Min: 0.45 / Avg: 0.45 / Max: 0.45 Min: 0.41 / Avg: 0.42 / Max: 0.42 Min: 0.4 / Avg: 0.4 / Max: 0.4 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: 0.34 / Avg: 0.34 / Max: 0.34 Min: 0.27 / Avg: 0.28 / Max: 0.28 Min: 0.27 / Avg: 0.27 / Max: 0.28 Min: 0.24 / Avg: 0.24 / Max: 0.24 Min: 0.24 / Avg: 0.24 / Max: 0.24 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 4 8 12 16 20 SE +/- 0.03, N = 3 SE +/- 0.00, N = 5 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 4 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 SE +/- 0.00, N = 12 SE +/- 0.04, N = 3 SE +/- 0.03, N = 4 SE +/- 0.04, N = 3 SE +/- 0.00, N = 15 SE +/- 0.07, N = 3 SE +/- 0.09, N = 3 SE +/- 0.09, N = 3 2.77 2.91 3.14 3.48 4.27 5.38 5.99 6.98 7.37 8.52 9.46 9.47 10.10 10.35 10.39 11.03 13.89 14.15 16.22 16.48
Result Confidence
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: NASA Streamlines - Renderer: Path Tracer EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 4 8 12 16 20 Min: 2.74 / Avg: 2.77 / Max: 2.82 Min: 2.91 / Avg: 2.91 / Max: 2.92 Min: 3.13 / Avg: 3.14 / Max: 3.14 Min: 3.44 / Avg: 3.48 / Max: 3.55 Min: 4.26 / Avg: 4.27 / Max: 4.27 Min: 5.35 / Avg: 5.38 / Max: 5.41 Min: 5.95 / Avg: 5.99 / Max: 6.02 Min: 6.94 / Avg: 6.98 / Max: 6.99 Min: 7.35 / Avg: 7.37 / Max: 7.41 Min: 8.47 / Avg: 8.52 / Max: 8.62 Min: 9.43 / Avg: 9.46 / Max: 9.52 Min: 9.35 / Avg: 9.47 / Max: 9.62 Min: 10.1 / Avg: 10.1 / Max: 10.1 Min: 10.31 / Avg: 10.35 / Max: 10.42 Min: 10.31 / Avg: 10.39 / Max: 10.42 Min: 10.99 / Avg: 11.03 / Max: 11.11 Min: 13.89 / Avg: 13.89 / Max: 13.89 Min: 14.08 / Avg: 14.15 / Max: 14.29 Min: 16.13 / Avg: 16.22 / Max: 16.39 Min: 16.39 / Avg: 16.48 / Max: 16.67
Result
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: XFrog Forest - Renderer: SciVis EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7F72 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.00, N = 5 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 5 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 5 SE +/- 0.00, N = 12 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 15 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 12 SE +/- 0.00, N = 10 SE +/- 0.04, N = 3 SE +/- 0.00, N = 13 1.85 1.92 2.07 2.29 2.84 3.59 3.93 4.57 4.87 5.62 6.29 6.30 6.70 6.90 6.94 7.44 9.35 9.43 10.79 10.99
Result Confidence
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: XFrog Forest - Renderer: SciVis EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7F72 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 3 6 9 12 15 Min: 1.84 / Avg: 1.85 / Max: 1.86 Min: 1.92 / Avg: 1.92 / Max: 1.93 Min: 2.07 / Avg: 2.07 / Max: 2.07 Min: 2.28 / Avg: 2.29 / Max: 2.3 Min: 2.84 / Avg: 2.84 / Max: 2.85 Min: 3.58 / Avg: 3.59 / Max: 3.6 Min: 3.92 / Avg: 3.93 / Max: 3.94 Min: 4.57 / Avg: 4.57 / Max: 4.59 Min: 4.85 / Avg: 4.87 / Max: 4.88 Min: 5.62 / Avg: 5.62 / Max: 5.65 Min: 6.29 / Avg: 6.29 / Max: 6.29 Min: 6.29 / Avg: 6.3 / Max: 6.33 Min: 6.67 / Avg: 6.7 / Max: 6.71 Min: 6.9 / Avg: 6.9 / Max: 6.9 Min: 6.94 / Avg: 6.94 / Max: 6.94 Min: 7.41 / Avg: 7.44 / Max: 7.46 Min: 9.35 / Avg: 9.35 / Max: 9.35 Min: 9.43 / Avg: 9.43 / Max: 9.43 Min: 10.75 / Avg: 10.79 / Max: 10.87 Min: 10.99 / Avg: 10.99 / Max: 10.99
OpenVINO
Result
OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Face Detection 0106 FP16 - Device: CPU EPYC 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7F72 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 3 6 9 12 15 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 +/- 0.01, 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 +/- 0.04, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 1.53 1.54 1.64 2.01 2.31 2.98 3.06 3.88 3.99 4.57 5.20 5.25 5.50 5.68 5.70 6.09 7.36 7.67 8.24 9.08 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7F72 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 3 6 9 12 15 Min: 1.53 / Avg: 1.53 / Max: 1.54 Min: 1.52 / Avg: 1.54 / Max: 1.55 Min: 1.64 / Avg: 1.64 / Max: 1.65 Min: 2 / Avg: 2.01 / Max: 2.02 Min: 2.3 / Avg: 2.31 / Max: 2.31 Min: 2.97 / Avg: 2.98 / Max: 2.98 Min: 3.05 / Avg: 3.06 / Max: 3.08 Min: 3.85 / Avg: 3.88 / Max: 3.91 Min: 3.98 / Avg: 3.99 / Max: 4.01 Min: 4.56 / Avg: 4.57 / Max: 4.58 Min: 5.2 / Avg: 5.2 / Max: 5.21 Min: 5.23 / Avg: 5.25 / Max: 5.27 Min: 5.49 / Avg: 5.5 / Max: 5.52 Min: 5.66 / Avg: 5.68 / Max: 5.69 Min: 5.67 / Avg: 5.7 / Max: 5.72 Min: 6 / Avg: 6.09 / Max: 6.14 Min: 7.35 / Avg: 7.36 / Max: 7.36 Min: 7.61 / Avg: 7.67 / Max: 7.7 Min: 8.21 / Avg: 8.24 / Max: 8.26 Min: 9.05 / Avg: 9.08 / Max: 9.1 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7F72 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 3 6 9 12 15 SE +/- 0.00, N = 3 SE +/- 0.01, 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 +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 1.53 1.55 1.64 1.99 2.31 2.99 3.06 3.88 3.98 4.57 5.21 5.26 5.50 5.68 5.69 6.07 7.37 7.68 8.27 9.06 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7F72 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 3 6 9 12 15 Min: 1.53 / Avg: 1.53 / Max: 1.54 Min: 1.54 / Avg: 1.55 / Max: 1.56 Min: 1.64 / Avg: 1.64 / Max: 1.64 Min: 1.99 / Avg: 1.99 / Max: 2 Min: 2.3 / Avg: 2.31 / Max: 2.32 Min: 2.98 / Avg: 2.99 / Max: 3 Min: 3.05 / Avg: 3.06 / Max: 3.07 Min: 3.87 / Avg: 3.88 / Max: 3.88 Min: 3.97 / Avg: 3.98 / Max: 3.99 Min: 4.55 / Avg: 4.57 / Max: 4.58 Min: 5.2 / Avg: 5.21 / Max: 5.22 Min: 5.25 / Avg: 5.26 / Max: 5.26 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: 5.97 / Avg: 6.07 / Max: 6.14 Min: 7.35 / Avg: 7.37 / Max: 7.39 Min: 7.65 / Avg: 7.68 / Max: 7.73 Min: 8.26 / Avg: 8.27 / Max: 8.28 Min: 9.02 / Avg: 9.06 / Max: 9.09 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 0.6477 1.2954 1.9431 2.5908 3.2385 SE +/- 0.01336, N = 3 SE +/- 0.00153, N = 3 SE +/- 0.00138, N = 3 SE +/- 0.01056, N = 3 SE +/- 0.00737, N = 3 SE +/- 0.00131, N = 3 SE +/- 0.00046, N = 3 SE +/- 0.00329, N = 3 SE +/- 0.00570, N = 3 SE +/- 0.00035, N = 3 SE +/- 0.00081, N = 3 SE +/- 0.00089, N = 3 SE +/- 0.00083, N = 3 SE +/- 0.00107, N = 3 SE +/- 0.00056, N = 3 SE +/- 0.00075, N = 3 SE +/- 0.00009, N = 3 SE +/- 0.00057, N = 3 SE +/- 0.00359, N = 3 SE +/- 0.00064, N = 3 2.87872 2.73186 2.54937 2.30072 1.94316 1.47205 1.34992 1.15425 1.15092 0.93786 0.85771 0.85255 0.79052 0.77627 0.77595 0.71677 0.57645 0.57168 0.51892 0.49044
Result Confidence
OpenBenchmarking.org days/ns, Fewer Is Better NAMD 2.14 ATPase Simulation - 327,506 Atoms EPYC 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 2 4 6 8 10 Min: 2.85 / Avg: 2.88 / Max: 2.89 Min: 2.73 / Avg: 2.73 / Max: 2.73 Min: 2.55 / Avg: 2.55 / Max: 2.55 Min: 2.28 / Avg: 2.3 / Max: 2.32 Min: 1.94 / Avg: 1.94 / Max: 1.96 Min: 1.47 / Avg: 1.47 / Max: 1.47 Min: 1.35 / Avg: 1.35 / Max: 1.35 Min: 1.15 / Avg: 1.15 / Max: 1.16 Min: 1.14 / Avg: 1.15 / Max: 1.16 Min: 0.94 / Avg: 0.94 / Max: 0.94 Min: 0.86 / Avg: 0.86 / Max: 0.86 Min: 0.85 / Avg: 0.85 / Max: 0.85 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: 0.72 / Avg: 0.72 / Max: 0.72 Min: 0.58 / Avg: 0.58 / Max: 0.58 Min: 0.57 / Avg: 0.57 / Max: 0.57 Min: 0.51 / Avg: 0.52 / Max: 0.53 Min: 0.49 / Avg: 0.49 / Max: 0.49
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 7232P EPYC 7262 EPYC 7252 EPYC 7F32 EPYC 7272 EPYC 7302P EPYC 7282 EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7532 EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7662 2M 4M 6M 8M 10M SE +/- 9486.66, N = 3 SE +/- 5354.73, N = 3 SE +/- 1671.95, N = 3 SE +/- 18877.88, N = 3 SE +/- 28091.78, N = 4 SE +/- 10558.02, N = 3 SE +/- 45029.31, N = 3 SE +/- 16794.20, N = 3 SE +/- 24151.11, N = 3 SE +/- 16048.71, N = 3 SE +/- 11731.10, N = 3 SE +/- 54967.27, N = 3 SE +/- 26369.03, N = 3 SE +/- 31783.53, N = 3 SE +/- 5897.86, N = 3 SE +/- 29761.67, N = 3 SE +/- 29508.17, N = 3 SE +/- 60894.61, N = 3 SE +/- 35636.88, N = 3 SE +/- 22170.26, N = 3 1349492 1416897 1423609 1518866 2181413 2856386 2878890 2919905 3871501 4269210 4270655 4999806 5078250 5183448 5195469 5472534 6670700 6949809 7860385 7904493 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 7232P EPYC 7262 EPYC 7252 EPYC 7F32 EPYC 7272 EPYC 7302P EPYC 7282 EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7532 EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7662 1.4M 2.8M 4.2M 5.6M 7M Min: 1336295 / Avg: 1349492 / Max: 1367896 Min: 1406942 / Avg: 1416897 / Max: 1425294 Min: 1420426 / Avg: 1423609 / Max: 1426088 Min: 1490063 / Avg: 1518866.33 / Max: 1554408 Min: 2146570 / Avg: 2181413 / Max: 2264616 Min: 2838430 / Avg: 2856386 / Max: 2874987 Min: 2816724 / Avg: 2878890 / Max: 2966404 Min: 2901038 / Avg: 2919904.67 / Max: 2953404 Min: 3834057 / Avg: 3871500.67 / Max: 3916648 Min: 4237623 / Avg: 4269210 / Max: 4289941 Min: 4247235 / Avg: 4270655 / Max: 4283583 Min: 4910935 / Avg: 4999805.67 / Max: 5100283 Min: 5049962 / Avg: 5078249.67 / Max: 5130940 Min: 5129861 / Avg: 5183447.67 / Max: 5239854 Min: 5184385 / Avg: 5195468.67 / Max: 5204506 Min: 5416475 / Avg: 5472534 / Max: 5517893 Min: 6631953 / Avg: 6670700.33 / Max: 6728625 Min: 6888150 / Avg: 6949809 / Max: 7071595 Min: 7823749 / Avg: 7860384.67 / Max: 7931649 Min: 7865169 / Avg: 7904493 / Max: 7941897 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 9 18 27 36 45 SE +/- 0.000, N = 12 SE +/- 0.000, N = 15 SE +/- 0.009, N = 12 SE +/- 0.009, N = 7 SE +/- 0.000, N = 12 SE +/- 0.062, N = 3 SE +/- 0.000, N = 12 SE +/- 0.000, N = 3 SE +/- 0.112, N = 3 SE +/- 0.000, N = 12 SE +/- 0.000, N = 15 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 +/- 0.000, N = 12 6.850 6.900 7.340 8.060 10.200 13.580 14.080 15.625 18.410 20.830 22.220 23.810 24.200 25.640 25.640 27.030 34.480 34.480 40.000 40.000
Result Confidence
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: Magnetic Reconnection - Renderer: SciVis EPYC 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 8 16 24 32 40 Min: 6.85 / Avg: 6.85 / Max: 6.85 Min: 6.9 / Avg: 6.9 / Max: 6.9 Min: 7.25 / Avg: 7.34 / Max: 7.35 Min: 8 / Avg: 8.06 / Max: 8.06 Min: 10.2 / Avg: 10.2 / Max: 10.2 Min: 13.51 / Avg: 13.58 / Max: 13.7 Min: 14.08 / Avg: 14.08 / Max: 14.08 Min: 15.63 / Avg: 15.63 / Max: 15.63 Min: 18.18 / Avg: 18.41 / Max: 18.52 Min: 20.83 / Avg: 20.83 / Max: 20.83 Min: 22.22 / Avg: 22.22 / Max: 22.22 Min: 23.81 / Avg: 23.81 / Max: 23.81 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: 27.03 / Avg: 27.03 / Max: 27.03 Min: 34.48 / Avg: 34.48 / Max: 34.48 Min: 34.48 / Avg: 34.48 / Max: 34.48
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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 60 120 180 240 300 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.11, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.08, 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 = 3 263.95 259.91 248.28 216.15 176.76 138.76 128.23 110.04 103.23 88.68 81.62 79.73 75.18 72.87 72.85 67.63 53.83 53.49 45.57 45.43 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 50 100 150 200 250 Min: 263.92 / Avg: 263.95 / Max: 263.99 Min: 259.78 / Avg: 259.91 / Max: 259.98 Min: 248.24 / Avg: 248.28 / Max: 248.3 Min: 216.04 / Avg: 216.15 / Max: 216.26 Min: 176.66 / Avg: 176.76 / Max: 176.83 Min: 138.68 / Avg: 138.76 / Max: 138.85 Min: 128.18 / Avg: 128.23 / Max: 128.29 Min: 109.88 / Avg: 110.04 / Max: 110.19 Min: 103.17 / Avg: 103.23 / Max: 103.27 Min: 88.62 / Avg: 88.68 / Max: 88.73 Min: 81.43 / Avg: 81.62 / Max: 81.8 Min: 79.71 / Avg: 79.73 / Max: 79.77 Min: 75.11 / Avg: 75.18 / Max: 75.24 Min: 72.83 / Avg: 72.87 / Max: 72.93 Min: 72.69 / Avg: 72.85 / Max: 72.94 Min: 67.59 / Avg: 67.63 / Max: 67.66 Min: 53.81 / Avg: 53.83 / Max: 53.85 Min: 53.48 / Avg: 53.49 / Max: 53.5 Min: 45.55 / Avg: 45.57 / Max: 45.6 Min: 45.41 / Avg: 45.43 / Max: 45.46 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7F72 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 40M 80M 120M 160M 200M SE +/- 326575.75, N = 3 SE +/- 227455.75, N = 3 SE +/- 573712.98, N = 3 SE +/- 621658.12, N = 3 SE +/- 402653.87, N = 15 SE +/- 781709.19, N = 5 SE +/- 134953.06, N = 3 SE +/- 1093756.73, N = 4 SE +/- 733157.90, N = 15 SE +/- 860434.27, N = 15 SE +/- 1122561.19, N = 15 SE +/- 214890.39, N = 3 SE +/- 358368.47, N = 3 SE +/- 1040006.53, N = 15 SE +/- 1276317.53, N = 7 SE +/- 526030.10, N = 3 SE +/- 1559101.58, N = 15 SE +/- 2240110.26, N = 5 SE +/- 2049696.22, N = 15 SE +/- 1899653.41, N = 15 33393407 33751178 35301607 40658633 49276720 63230724 68867484 80061560 84742534 98307816 108651965 118182176 119286292 120922766 121673641 133751245 163000355 167150946 192210231 192725013 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7F72 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 30M 60M 90M 120M 150M Min: 32741134 / Avg: 33393407 / Max: 33748871 Min: 33435197 / Avg: 33751178.33 / Max: 34192586 Min: 34154208 / Avg: 35301607 / Max: 35882118 Min: 39547827 / Avg: 40658633.33 / Max: 41697729 Min: 47356643 / Avg: 49276720.13 / Max: 51259025 Min: 60131659 / Avg: 63230724 / Max: 64253059 Min: 68715282 / Avg: 68867484 / Max: 69136621 Min: 77755597 / Avg: 80061560.25 / Max: 82403261 Min: 80711238 / Avg: 84742534.27 / Max: 87776559 Min: 93719478 / Avg: 98307816.2 / Max: 102407832 Min: 103874336 / Avg: 108651964.8 / Max: 114145821 Min: 117754545 / Avg: 118182175.67 / Max: 118433175 Min: 118570199 / Avg: 119286292.33 / Max: 119670638 Min: 113942640 / Avg: 120922766.13 / Max: 124587119 Min: 114249697 / Avg: 121673641.14 / Max: 124512407 Min: 132715309 / Avg: 133751244.67 / Max: 134428118 Min: 155397851 / Avg: 163000355.4 / Max: 170264486 Min: 158235179 / Avg: 167150946.2 / Max: 170160556 Min: 183285104 / Avg: 192210230.73 / Max: 202087778 Min: 184745570 / Avg: 192725013.2 / Max: 201658187 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7F72 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 13 26 39 52 65 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 SE +/- 0.00, N = 13 SE +/- 0.00, N = 12 SE +/- 0.06, N = 4 SE +/- 0.13, N = 3 SE +/- 0.15, N = 3 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 10.20 10.31 10.99 12.20 15.21 19.48 21.13 24.39 26.32 30.30 33.33 33.33 35.71 37.04 37.04 40.00 50.00 50.00 55.56 58.82
Result Confidence
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: San Miguel - Renderer: SciVis EPYC 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7F72 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 12 24 36 48 60 Min: 10.2 / Avg: 10.2 / Max: 10.2 Min: 10.31 / Avg: 10.31 / Max: 10.31 Min: 10.99 / Avg: 10.99 / Max: 10.99 Min: 12.2 / Avg: 12.2 / Max: 12.2 Min: 15.15 / Avg: 15.21 / Max: 15.38 Min: 19.23 / Avg: 19.48 / Max: 19.61 Min: 20.83 / Avg: 21.13 / Max: 21.28 Min: 24.39 / Avg: 24.39 / Max: 24.39 Min: 26.32 / Avg: 26.32 / Max: 26.32 Min: 30.3 / Avg: 30.3 / Max: 30.3 Min: 33.33 / Avg: 33.33 / Max: 33.33 Min: 33.33 / Avg: 33.33 / Max: 33.33 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: 55.56 / Avg: 55.56 / Max: 55.56 Min: 58.82 / Avg: 58.82 / Max: 58.82
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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7662 200 400 600 800 1000 SE +/- 1.18, N = 3 SE +/- 1.81, N = 3 SE +/- 0.54, N = 3 SE +/- 0.23, N = 3 SE +/- 0.91, N = 3 SE +/- 0.31, N = 3 SE +/- 0.21, N = 3 SE +/- 0.39, N = 3 SE +/- 0.08, N = 3 SE +/- 0.35, N = 3 SE +/- 0.63, N = 3 SE +/- 0.55, N = 3 SE +/- 0.15, N = 3 SE +/- 0.17, N = 3 SE +/- 0.30, N = 3 SE +/- 0.42, N = 3 SE +/- 0.42, N = 3 SE +/- 0.44, N = 3 SE +/- 0.28, N = 3 SE +/- 0.29, N = 3 949.06 901.38 839.88 740.99 603.44 474.46 441.88 382.66 355.45 308.59 289.07 271.92 261.47 255.93 251.80 237.28 191.75 190.72 165.38 165.16
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Barbershop - Compute: CPU-Only EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7662 170 340 510 680 850 Min: 947.29 / Avg: 949.06 / Max: 951.3 Min: 899.18 / Avg: 901.38 / Max: 904.98 Min: 839.19 / Avg: 839.88 / Max: 840.95 Min: 740.6 / Avg: 740.99 / Max: 741.39 Min: 601.9 / Avg: 603.44 / Max: 605.04 Min: 473.99 / Avg: 474.46 / Max: 475.04 Min: 441.47 / Avg: 441.88 / Max: 442.18 Min: 381.89 / Avg: 382.66 / Max: 383.15 Min: 355.37 / Avg: 355.45 / Max: 355.61 Min: 307.98 / Avg: 308.59 / Max: 309.18 Min: 287.84 / Avg: 289.07 / Max: 289.95 Min: 270.81 / Avg: 271.92 / Max: 272.54 Min: 261.18 / Avg: 261.47 / Max: 261.64 Min: 255.71 / Avg: 255.93 / Max: 256.26 Min: 251.25 / Avg: 251.8 / Max: 252.27 Min: 236.49 / Avg: 237.28 / Max: 237.91 Min: 191.15 / Avg: 191.75 / Max: 192.56 Min: 190.15 / Avg: 190.72 / Max: 191.59 Min: 164.83 / Avg: 165.38 / Max: 165.73 Min: 164.79 / Avg: 165.16 / Max: 165.74
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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7F72 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7662 13K 26K 39K 52K 65K SE +/- 33.59, N = 3 SE +/- 33.32, N = 3 SE +/- 70.89, N = 3 SE +/- 80.57, N = 3 SE +/- 71.70, N = 3 SE +/- 45.83, N = 3 SE +/- 78.28, N = 3 SE +/- 51.15, N = 3 SE +/- 246.39, N = 3 SE +/- 327.00, N = 3 SE +/- 300.18, N = 3 SE +/- 115.54, N = 3 SE +/- 598.50, N = 3 SE +/- 449.08, N = 3 SE +/- 400.69, N = 3 SE +/- 463.85, N = 3 SE +/- 184.21, N = 3 SE +/- 163.42, N = 3 SE +/- 257.77, N = 3 SE +/- 185.27, N = 3 10313 11114 11724 13123 15990 20890 21913 25542 27814 32046 33553 34247 34775 35209 36297 38642 50184 51417 57889 59016
Result Confidence
OpenBenchmarking.org Ksamples, More Is Better Chaos Group V-RAY 4.10.07 Mode: CPU EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7F72 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7662 10K 20K 30K 40K 50K Min: 10258 / Avg: 10313.33 / Max: 10374 Min: 11048 / Avg: 11114 / Max: 11155 Min: 11589 / Avg: 11724 / Max: 11829 Min: 12994 / Avg: 13122.67 / Max: 13271 Min: 15849 / Avg: 15990.33 / Max: 16082 Min: 20818 / Avg: 20889.67 / Max: 20975 Min: 21758 / Avg: 21913.33 / Max: 22008 Min: 25445 / Avg: 25541.67 / Max: 25619 Min: 27433 / Avg: 27813.67 / Max: 28275 Min: 31560 / Avg: 32046 / Max: 32668 Min: 32978 / Avg: 33553 / Max: 33990 Min: 34016 / Avg: 34246.67 / Max: 34374 Min: 33578 / Avg: 34775 / Max: 35376 Min: 34745 / Avg: 35209 / Max: 36107 Min: 35508 / Avg: 36297 / Max: 36813 Min: 37769 / Avg: 38642.33 / Max: 39350 Min: 49929 / Avg: 50184.33 / Max: 50542 Min: 51109 / Avg: 51416.67 / Max: 51666 Min: 57376 / Avg: 57888.67 / Max: 58192 Min: 58749 / Avg: 59016 / Max: 59372
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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 60K 120K 180K 240K 300K SE +/- 167.08, N = 3 SE +/- 82.45, N = 3 SE +/- 259.03, N = 3 SE +/- 309.32, N = 3 SE +/- 210.33, N = 3 SE +/- 175.91, N = 3 SE +/- 425.32, N = 3 SE +/- 949.16, N = 3 SE +/- 65.73, N = 3 SE +/- 595.37, N = 3 SE +/- 404.23, N = 3 SE +/- 558.60, N = 3 SE +/- 133.83, N = 3 SE +/- 246.91, N = 3 SE +/- 212.89, N = 3 SE +/- 398.90, N = 3 SE +/- 439.74, N = 3 SE +/- 769.78, N = 3 SE +/- 715.50, N = 3 SE +/- 456.77, N = 3 46061 47057 49291 55476 68876 91147 95496 109514 125699 138561 149916 158903 167374 169977 169995 175716 224914 227772 257597 262783 1. (CXX) g++ options: -pipe -lpthread
Result Confidence
OpenBenchmarking.org MIPS, More Is Better 7-Zip Compression 16.02 Compress Speed Test EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 50K 100K 150K 200K 250K Min: 45763 / Avg: 46060.67 / Max: 46341 Min: 46927 / Avg: 47057.33 / Max: 47210 Min: 48889 / Avg: 49291 / Max: 49775 Min: 54860 / Avg: 55475.67 / Max: 55836 Min: 68587 / Avg: 68875.67 / Max: 69285 Min: 90955 / Avg: 91146.67 / Max: 91498 Min: 94818 / Avg: 95496.33 / Max: 96280 Min: 107957 / Avg: 109514 / Max: 111233 Min: 125568 / Avg: 125699 / Max: 125774 Min: 137395 / Avg: 138560.67 / Max: 139354 Min: 149146 / Avg: 149916.33 / Max: 150514 Min: 157932 / Avg: 158902.67 / Max: 159867 Min: 167106 / Avg: 167373.67 / Max: 167508 Min: 169492 / Avg: 169976.67 / Max: 170301 Min: 169586 / Avg: 169995 / Max: 170302 Min: 174939 / Avg: 175715.67 / Max: 176262 Min: 224366 / Avg: 224914.33 / Max: 225784 Min: 226262 / Avg: 227771.67 / Max: 228788 Min: 256297 / Avg: 257597 / Max: 258765 Min: 262092 / Avg: 262783 / Max: 263646 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 12 24 36 48 60 SE +/- 0.0813, N = 3 SE +/- 0.0267, N = 3 SE +/- 0.0102, N = 3 SE +/- 0.0285, N = 3 SE +/- 0.1343, N = 3 SE +/- 0.0341, N = 3 SE +/- 0.1895, N = 3 SE +/- 0.1347, N = 3 SE +/- 0.2541, N = 3 SE +/- 0.2494, N = 3 SE +/- 0.1842, N = 3 SE +/- 0.0606, N = 3 SE +/- 0.1971, N = 3 SE +/- 0.3034, N = 3 SE +/- 0.2760, N = 3 SE +/- 0.2618, N = 3 SE +/- 0.4040, N = 3 SE +/- 0.3010, N = 3 SE +/- 0.0882, N = 3 SE +/- 0.3470, N = 3 9.3351 9.4305 9.7040 10.5746 14.0979 18.6826 19.2865 21.0131 25.3374 28.4980 30.1365 33.0034 33.3760 35.5207 35.6826 37.5947 46.9637 47.4509 52.8060 53.2204
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer - Model: Asian Dragon EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 11 22 33 44 55 Min: 9.19 / Avg: 9.34 / Max: 9.48 Min: 9.38 / Avg: 9.43 / Max: 9.46 Min: 9.69 / Avg: 9.7 / Max: 9.72 Min: 10.52 / Avg: 10.57 / Max: 10.61 Min: 13.94 / Avg: 14.1 / Max: 14.37 Min: 18.62 / Avg: 18.68 / Max: 18.73 Min: 19.05 / Avg: 19.29 / Max: 19.66 Min: 20.82 / Avg: 21.01 / Max: 21.27 Min: 25.05 / Avg: 25.34 / Max: 25.84 Min: 28.2 / Avg: 28.5 / Max: 28.99 Min: 29.94 / Avg: 30.14 / Max: 30.5 Min: 32.88 / Avg: 33 / Max: 33.08 Min: 33.1 / Avg: 33.38 / Max: 33.76 Min: 35.07 / Avg: 35.52 / Max: 36.1 Min: 35.13 / Avg: 35.68 / Max: 36 Min: 37.26 / Avg: 37.59 / Max: 38.11 Min: 46.17 / Avg: 46.96 / Max: 47.48 Min: 47.13 / Avg: 47.45 / Max: 48.05 Min: 52.67 / Avg: 52.81 / Max: 52.97 Min: 52.55 / Avg: 53.22 / Max: 53.72
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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 40K 80K 120K 160K 200K SE +/- 70.70, N = 3 SE +/- 39.70, N = 3 SE +/- 148.50, N = 3 SE +/- 88.23, N = 3 SE +/- 56.60, N = 3 SE +/- 66.43, N = 3 SE +/- 159.97, N = 3 SE +/- 311.46, N = 3 SE +/- 200.02, N = 3 SE +/- 155.82, N = 3 SE +/- 205.68, N = 3 SE +/- 135.20, N = 3 SE +/- 392.03, N = 3 SE +/- 1080.49, N = 3 SE +/- 354.61, N = 3 SE +/- 535.34, N = 3 SE +/- 811.81, N = 3 SE +/- 471.06, N = 3 SE +/- 261.22, N = 3 SE +/- 430.58, N = 3 31420.05 31460.75 33377.45 38372.40 46353.74 58509.29 63181.99 75406.32 79169.26 91534.93 101096.15 101602.76 108030.59 110937.29 111016.59 120546.41 149827.50 151931.12 177538.11 178073.14 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 30K 60K 90K 120K 150K Min: 31287.32 / Avg: 31420.05 / Max: 31528.62 Min: 31408.37 / Avg: 31460.75 / Max: 31538.63 Min: 33134.13 / Avg: 33377.45 / Max: 33646.61 Min: 38216.05 / Avg: 38372.4 / Max: 38521.42 Min: 46240.55 / Avg: 46353.74 / Max: 46410.96 Min: 58381.23 / Avg: 58509.29 / Max: 58603.95 Min: 62930.24 / Avg: 63181.99 / Max: 63478.86 Min: 75087.8 / Avg: 75406.32 / Max: 76029.19 Min: 78895.81 / Avg: 79169.26 / Max: 79558.86 Min: 91331.78 / Avg: 91534.93 / Max: 91841.16 Min: 100694.73 / Avg: 101096.15 / Max: 101374.73 Min: 101390.5 / Avg: 101602.76 / Max: 101853.95 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: 119657.67 / Avg: 120546.41 / Max: 121507.85 Min: 148869.56 / Avg: 149827.5 / Max: 151441.76 Min: 151052.76 / Avg: 151931.12 / Max: 152665.37 Min: 177029.44 / Avg: 177538.11 / Max: 177895.63 Min: 177510.03 / Avg: 178073.14 / Max: 178918.95 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 12 24 36 48 60 SE +/- 0.0263, N = 3 SE +/- 0.0244, N = 3 SE +/- 0.0609, N = 3 SE +/- 0.0158, N = 3 SE +/- 0.0506, N = 3 SE +/- 0.0207, N = 3 SE +/- 0.0257, N = 3 SE +/- 0.2322, N = 3 SE +/- 0.1182, N = 3 SE +/- 0.2726, N = 3 SE +/- 0.2780, N = 3 SE +/- 0.2284, N = 3 SE +/- 0.3156, N = 3 SE +/- 0.3906, N = 3 SE +/- 0.1490, N = 3 SE +/- 0.2017, N = 3 SE +/- 0.3207, N = 3 SE +/- 0.0717, N = 3 SE +/- 0.0763, N = 3 SE +/- 0.0362, N = 3 9.2306 9.3926 9.6834 10.5068 14.0144 18.4925 19.1386 21.3898 25.2623 28.7777 30.0839 33.2007 33.7127 35.0164 35.0480 36.9981 46.8396 47.4349 51.6425 52.1229
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer ISPC - Model: Asian Dragon EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 10 20 30 40 50 Min: 9.18 / Avg: 9.23 / Max: 9.26 Min: 9.35 / Avg: 9.39 / Max: 9.43 Min: 9.59 / Avg: 9.68 / Max: 9.8 Min: 10.48 / Avg: 10.51 / Max: 10.53 Min: 13.92 / Avg: 14.01 / Max: 14.09 Min: 18.47 / Avg: 18.49 / Max: 18.53 Min: 19.1 / Avg: 19.14 / Max: 19.19 Min: 20.93 / Avg: 21.39 / Max: 21.64 Min: 25.06 / Avg: 25.26 / Max: 25.47 Min: 28.23 / Avg: 28.78 / Max: 29.09 Min: 29.72 / Avg: 30.08 / Max: 30.63 Min: 32.78 / Avg: 33.2 / Max: 33.56 Min: 33.09 / Avg: 33.71 / Max: 34.1 Min: 34.61 / Avg: 35.02 / Max: 35.8 Min: 34.78 / Avg: 35.05 / Max: 35.3 Min: 36.6 / Avg: 37 / Max: 37.24 Min: 46.3 / Avg: 46.84 / Max: 47.41 Min: 47.31 / Avg: 47.43 / Max: 47.56 Min: 51.55 / Avg: 51.64 / Max: 51.79 Min: 52.07 / Avg: 52.12 / Max: 52.19
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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7662 140 280 420 560 700 SE +/- 1.46, N = 3 SE +/- 0.91, N = 3 SE +/- 1.13, N = 3 SE +/- 0.71, N = 3 SE +/- 0.66, N = 3 SE +/- 1.54, N = 3 SE +/- 0.76, N = 3 SE +/- 0.08, N = 3 SE +/- 0.28, N = 3 SE +/- 0.92, N = 3 SE +/- 0.03, N = 3 SE +/- 1.21, N = 3 SE +/- 1.29, N = 3 SE +/- 0.37, N = 3 SE +/- 0.49, N = 3 SE +/- 0.75, N = 3 SE +/- 0.21, N = 3 SE +/- 0.37, N = 3 SE +/- 0.10, N = 3 SE +/- 0.14, N = 3 632.59 625.57 586.46 503.70 431.29 339.18 314.32 264.58 249.36 217.18 198.29 197.80 186.22 179.24 176.75 165.59 133.19 130.69 112.75 112.70
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Classroom - Compute: CPU-Only EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7662 110 220 330 440 550 Min: 630.83 / Avg: 632.59 / Max: 635.48 Min: 624.29 / Avg: 625.57 / Max: 627.33 Min: 584.48 / Avg: 586.46 / Max: 588.41 Min: 502.58 / Avg: 503.7 / Max: 505.02 Min: 430.28 / Avg: 431.29 / Max: 432.54 Min: 336.13 / Avg: 339.18 / Max: 341.08 Min: 313.32 / Avg: 314.32 / Max: 315.81 Min: 264.44 / Avg: 264.58 / Max: 264.72 Min: 248.79 / Avg: 249.36 / Max: 249.66 Min: 215.35 / Avg: 217.18 / Max: 218.25 Min: 198.23 / Avg: 198.29 / Max: 198.32 Min: 196.12 / Avg: 197.8 / Max: 200.15 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: 164.16 / Avg: 165.59 / Max: 166.7 Min: 132.79 / Avg: 133.19 / Max: 133.49 Min: 130.1 / Avg: 130.69 / Max: 131.36 Min: 112.54 / Avg: 112.75 / Max: 112.87 Min: 112.45 / Avg: 112.7 / Max: 112.92
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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7532 EPYC 7F72 EPYC 7452 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 110 220 330 440 550 SE +/- 0.38, N = 3 SE +/- 0.23, N = 3 SE +/- 0.20, N = 3 SE +/- 0.42, N = 3 SE +/- 1.02, N = 3 SE +/- 0.12, N = 3 SE +/- 0.13, N = 3 SE +/- 0.38, N = 3 SE +/- 1.84, N = 3 SE +/- 0.47, N = 3 SE +/- 3.58, N = 3 SE +/- 0.75, N = 3 SE +/- 0.69, N = 3 SE +/- 2.40, N = 3 SE +/- 1.11, N = 3 SE +/- 1.04, N = 3 SE +/- 0.43, N = 3 SE +/- 1.51, N = 3 SE +/- 1.07, N = 3 SE +/- 2.58, N = 3 88.72 92.91 93.54 107.89 130.98 178.83 185.83 216.80 225.22 268.70 290.28 291.15 301.70 321.44 323.52 343.46 424.70 429.76 439.04 492.81
Result Confidence
OpenBenchmarking.org Items / Sec, More Is Better OpenVKL 0.9 Benchmark: vklBenchmark EPYC 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7532 EPYC 7F72 EPYC 7452 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 90 180 270 360 450 Min: 88 / Avg: 88.72 / Max: 89.28 Min: 92.56 / Avg: 92.91 / Max: 93.33 Min: 93.17 / Avg: 93.54 / Max: 93.83 Min: 107.06 / Avg: 107.89 / Max: 108.39 Min: 129 / Avg: 130.98 / Max: 132.39 Min: 178.67 / Avg: 178.83 / Max: 179.06 Min: 185.61 / Avg: 185.83 / Max: 186.06 Min: 216.39 / Avg: 216.8 / Max: 217.56 Min: 221.61 / Avg: 225.22 / Max: 227.67 Min: 267.89 / Avg: 268.7 / Max: 269.5 Min: 283.11 / Avg: 290.28 / Max: 294 Min: 290 / Avg: 291.15 / Max: 292.56 Min: 300.33 / Avg: 301.7 / Max: 302.44 Min: 316.78 / Avg: 321.44 / Max: 324.72 Min: 321.67 / Avg: 323.52 / Max: 325.5 Min: 341.94 / Avg: 343.46 / Max: 345.44 Min: 423.89 / Avg: 424.7 / Max: 425.33 Min: 427.78 / Avg: 429.76 / Max: 432.72 Min: 437.83 / Avg: 439.04 / Max: 441.17 Min: 487.72 / Avg: 492.81 / Max: 496.11
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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7662 140K 280K 420K 560K 700K SE +/- 115.43, N = 3 SE +/- 157.51, N = 3 SE +/- 19.09, N = 3 SE +/- 212.03, N = 3 SE +/- 115.16, N = 3 SE +/- 603.89, N = 3 SE +/- 275.65, N = 3 SE +/- 1205.14, N = 3 SE +/- 930.38, N = 3 SE +/- 1231.54, N = 3 SE +/- 2361.40, N = 3 SE +/- 1084.86, N = 3 SE +/- 275.01, N = 3 SE +/- 1346.26, N = 3 SE +/- 1517.69, N = 3 SE +/- 793.66, N = 3 SE +/- 2646.60, N = 3 SE +/- 662.65, N = 3 SE +/- 2560.60, N = 3 SE +/- 2400.08, N = 3 116199.55 116309.56 123755.93 142120.89 175151.29 227661.36 233355.09 271798.18 295072.85 336284.14 375286.56 387824.66 392610.75 410519.36 414301.15 429545.18 528168.36 537342.45 637854.00 641928.60 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7662 110K 220K 330K 440K 550K Min: 116002.14 / Avg: 116199.55 / Max: 116401.9 Min: 116098.13 / Avg: 116309.56 / Max: 116617.51 Min: 123733.99 / Avg: 123755.93 / Max: 123793.96 Min: 141814.3 / Avg: 142120.89 / Max: 142527.91 Min: 174995.49 / Avg: 175151.29 / Max: 175376.09 Min: 226946.22 / Avg: 227661.36 / Max: 228861.82 Min: 233029.99 / Avg: 233355.09 / Max: 233903.24 Min: 270479.97 / Avg: 271798.18 / Max: 274204.81 Min: 293884.4 / Avg: 295072.85 / Max: 296907.04 Min: 334098.38 / Avg: 336284.14 / Max: 338360.35 Min: 371348.45 / Avg: 375286.56 / Max: 379513.3 Min: 386429 / Avg: 387824.66 / Max: 389961.2 Min: 392079.84 / Avg: 392610.75 / Max: 393000.66 Min: 408885.28 / Avg: 410519.36 / Max: 413189.67 Min: 411702.04 / Avg: 414301.15 / Max: 416958.52 Min: 428623.54 / Avg: 429545.18 / Max: 431125.21 Min: 523031.78 / Avg: 528168.36 / Max: 531843.49 Min: 536191.54 / Avg: 537342.45 / Max: 538486.99 Min: 633035.51 / Avg: 637854 / Max: 641765.47 Min: 637432.56 / Avg: 641928.6 / Max: 645632.79 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7F72 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 20 40 60 80 100 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 SE +/- 0.00, N = 3 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 +/- 0.00, N = 12 SE +/- 0.00, N = 12 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 12 SE +/- 0.72, N = 5 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 14.08 14.29 15.63 17.14 21.28 27.03 29.41 33.33 35.71 41.67 45.45 45.45 47.62 50.00 50.00 53.80 66.67 66.67 76.92 76.92
Result Confidence
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: NASA Streamlines - Renderer: SciVis EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7F72 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 15 30 45 60 75 Min: 14.08 / Avg: 14.08 / Max: 14.08 Min: 14.29 / Avg: 14.29 / Max: 14.29 Min: 15.63 / Avg: 15.63 / Max: 15.63 Min: 16.95 / Avg: 17.14 / Max: 17.24 Min: 21.28 / Avg: 21.28 / Max: 21.28 Min: 27.03 / Avg: 27.03 / Max: 27.03 Min: 29.41 / Avg: 29.41 / Max: 29.41 Min: 33.33 / Avg: 33.33 / Max: 33.33 Min: 35.71 / Avg: 35.71 / Max: 35.71 Min: 41.67 / Avg: 41.67 / Max: 41.67 Min: 45.45 / Avg: 45.45 / Max: 45.45 Min: 45.45 / Avg: 45.45 / Max: 45.45 Min: 47.62 / Avg: 47.62 / Max: 47.62 Min: 52.63 / Avg: 53.8 / Max: 55.56 Min: 66.67 / Avg: 66.67 / Max: 66.67 Min: 66.67 / Avg: 66.67 / Max: 66.67 Min: 76.92 / Avg: 76.92 / Max: 76.92 Min: 76.92 / Avg: 76.92 / Max: 76.92
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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 11 22 33 44 55 SE +/- 0.0184, N = 3 SE +/- 0.0109, N = 3 SE +/- 0.0183, N = 3 SE +/- 0.0029, N = 3 SE +/- 0.0181, N = 3 SE +/- 0.0122, N = 3 SE +/- 0.0059, N = 3 SE +/- 0.0439, N = 3 SE +/- 0.0170, N = 3 SE +/- 0.0311, N = 3 SE +/- 0.0707, N = 3 SE +/- 0.0391, N = 3 SE +/- 0.0478, N = 3 SE +/- 0.0379, N = 3 SE +/- 0.0461, N = 3 SE +/- 0.0968, N = 3 SE +/- 0.0752, N = 3 SE +/- 0.0268, N = 3 SE +/- 0.0908, N = 3 SE +/- 0.0648, N = 3 8.6971 8.7510 9.0028 9.9019 13.1278 17.3009 17.9550 19.9576 23.5552 26.3280 27.8014 30.3852 31.0287 32.4407 32.5488 34.1704 43.0274 43.1151 47.0971 47.4287
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer - Model: Asian Dragon Obj EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 10 20 30 40 50 Min: 8.67 / Avg: 8.7 / Max: 8.73 Min: 8.73 / Avg: 8.75 / Max: 8.76 Min: 8.98 / Avg: 9 / Max: 9.04 Min: 9.9 / Avg: 9.9 / Max: 9.91 Min: 13.1 / Avg: 13.13 / Max: 13.16 Min: 17.28 / Avg: 17.3 / Max: 17.32 Min: 17.94 / Avg: 17.96 / Max: 17.97 Min: 19.87 / Avg: 19.96 / Max: 20.02 Min: 23.53 / Avg: 23.56 / Max: 23.59 Min: 26.27 / Avg: 26.33 / Max: 26.38 Min: 27.66 / Avg: 27.8 / Max: 27.89 Min: 30.34 / Avg: 30.39 / Max: 30.46 Min: 30.93 / Avg: 31.03 / Max: 31.09 Min: 32.37 / Avg: 32.44 / Max: 32.5 Min: 32.49 / Avg: 32.55 / Max: 32.64 Min: 33.98 / Avg: 34.17 / Max: 34.29 Min: 42.88 / Avg: 43.03 / Max: 43.12 Min: 43.07 / Avg: 43.12 / Max: 43.16 Min: 46.92 / Avg: 47.1 / Max: 47.21 Min: 47.32 / Avg: 47.43 / Max: 47.55
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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7662 1.2422 2.4844 3.7266 4.9688 6.211 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.005, N = 3 SE +/- 0.004, 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 +/- 0.004, N = 3 SE +/- 0.008, N = 3 SE +/- 0.007, N = 3 SE +/- 0.008, N = 3 SE +/- 0.001, N = 3 SE +/- 0.008, N = 3 1.014 1.057 1.097 1.220 1.611 2.103 2.176 2.419 2.833 3.224 3.398 3.688 3.771 3.937 3.965 4.251 5.159 5.293 5.418 5.521
Result Confidence
OpenBenchmarking.org M samples/s, More Is Better IndigoBench 4.0.64 Scene: Bedroom EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7662 2 4 6 8 10 Min: 1.01 / Avg: 1.01 / Max: 1.02 Min: 1.05 / Avg: 1.06 / Max: 1.06 Min: 1.1 / Avg: 1.1 / Max: 1.1 Min: 1.22 / Avg: 1.22 / Max: 1.22 Min: 1.61 / Avg: 1.61 / Max: 1.61 Min: 2.1 / Avg: 2.1 / Max: 2.11 Min: 2.17 / Avg: 2.18 / Max: 2.18 Min: 2.41 / Avg: 2.42 / Max: 2.43 Min: 2.83 / Avg: 2.83 / Max: 2.84 Min: 3.22 / Avg: 3.22 / Max: 3.23 Min: 3.4 / Avg: 3.4 / Max: 3.4 Min: 3.68 / Avg: 3.69 / Max: 3.69 Min: 3.77 / Avg: 3.77 / Max: 3.78 Min: 3.93 / Avg: 3.94 / Max: 3.95 Min: 3.96 / Avg: 3.97 / Max: 3.97 Min: 4.24 / Avg: 4.25 / Max: 4.27 Min: 5.15 / Avg: 5.16 / Max: 5.17 Min: 5.29 / Avg: 5.29 / Max: 5.31 Min: 5.42 / Avg: 5.42 / Max: 5.42 Min: 5.51 / Avg: 5.52 / Max: 5.53
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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7302P EPYC 7282 EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7532 EPYC 7642 EPYC 7452 EPYC 7552 EPYC 7502P EPYC 7542 EPYC 7502 EPYC 7662 EPYC 7702 50K 100K 150K 200K 250K SE +/- 135.06, N = 3 SE +/- 180.35, N = 3 SE +/- 218.45, N = 3 SE +/- 364.13, N = 3 SE +/- 674.43, N = 3 SE +/- 1172.51, N = 3 SE +/- 1109.12, N = 3 SE +/- 970.11, N = 3 SE +/- 2165.41, N = 5 SE +/- 2252.44, N = 3 SE +/- 1497.72, N = 13 SE +/- 2557.41, N = 15 SE +/- 1820.08, N = 15 SE +/- 2362.56, N = 6 SE +/- 2783.17, N = 4 SE +/- 2680.04, N = 3 SE +/- 2505.69, N = 15 SE +/- 956.08, N = 3 SE +/- 2053.52, N = 10 SE +/- 1719.61, N = 3 40445 41662 43203 49086 76751 112020 122041 127262 162681 180592 184455 193790 196720 199364 203081 205457 211140 214486 218480 218854
Result Confidence
OpenBenchmarking.org Op/s, More Is Better Apache Cassandra 3.11.4 Test: Writes EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7302P EPYC 7282 EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7532 EPYC 7642 EPYC 7452 EPYC 7552 EPYC 7502P EPYC 7542 EPYC 7502 EPYC 7662 EPYC 7702 40K 80K 120K 160K 200K Min: 40189 / Avg: 40444.67 / Max: 40648 Min: 41364 / Avg: 41662 / Max: 41987 Min: 42953 / Avg: 43202.67 / Max: 43638 Min: 48473 / Avg: 49086 / Max: 49733 Min: 75429 / Avg: 76751.33 / Max: 77643 Min: 109894 / Avg: 112020 / Max: 113940 Min: 120158 / Avg: 122041.33 / Max: 123998 Min: 126002 / Avg: 127262.33 / Max: 129170 Min: 155800 / Avg: 162680.8 / Max: 166977 Min: 176111 / Avg: 180591.67 / Max: 183236 Min: 177996 / Avg: 184455 / Max: 191651 Min: 176360 / Avg: 193789.73 / Max: 202817 Min: 189102 / Avg: 196719.53 / Max: 208592 Min: 190358 / Avg: 199364 / Max: 208384 Min: 198780 / Avg: 203080.5 / Max: 211125 Min: 202352 / Avg: 205456.67 / Max: 210793 Min: 196521 / Avg: 211139.8 / Max: 221898 Min: 212577 / Avg: 214486.33 / Max: 215531 Min: 207486 / Avg: 218480.4 / Max: 225818 Min: 215677 / Avg: 218854.33 / Max: 221583
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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7662 10 20 30 40 50 SE +/- 0.0216, N = 3 SE +/- 0.0111, N = 3 SE +/- 0.0078, N = 3 SE +/- 0.0091, N = 3 SE +/- 0.0365, N = 3 SE +/- 0.0549, N = 3 SE +/- 0.0117, N = 3 SE +/- 0.1352, N = 3 SE +/- 0.0037, N = 3 SE +/- 0.0049, N = 3 SE +/- 0.0834, N = 3 SE +/- 0.0032, N = 3 SE +/- 0.0254, N = 3 SE +/- 0.0547, N = 3 SE +/- 0.0668, N = 3 SE +/- 0.0311, N = 3 SE +/- 0.0860, N = 3 SE +/- 0.0861, N = 3 SE +/- 0.0544, N = 3 SE +/- 0.0423, N = 3 8.3087 8.3807 8.6359 9.4614 12.5387 16.6041 17.2397 18.9692 22.4622 25.2413 26.7566 29.1758 29.8408 31.0503 31.1938 32.9632 41.0754 41.1410 44.5624 44.9159
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer ISPC - Model: Asian Dragon Obj EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7662 9 18 27 36 45 Min: 8.27 / Avg: 8.31 / Max: 8.34 Min: 8.36 / Avg: 8.38 / Max: 8.4 Min: 8.62 / Avg: 8.64 / Max: 8.65 Min: 9.45 / Avg: 9.46 / Max: 9.48 Min: 12.48 / Avg: 12.54 / Max: 12.6 Min: 16.5 / Avg: 16.6 / Max: 16.69 Min: 17.22 / Avg: 17.24 / Max: 17.26 Min: 18.71 / Avg: 18.97 / Max: 19.16 Min: 22.45 / Avg: 22.46 / Max: 22.47 Min: 25.23 / Avg: 25.24 / Max: 25.25 Min: 26.59 / Avg: 26.76 / Max: 26.86 Min: 29.17 / Avg: 29.18 / Max: 29.18 Min: 29.81 / Avg: 29.84 / Max: 29.89 Min: 30.96 / Avg: 31.05 / Max: 31.15 Min: 31.08 / Avg: 31.19 / Max: 31.31 Min: 32.92 / Avg: 32.96 / Max: 33.02 Min: 40.91 / Avg: 41.08 / Max: 41.18 Min: 40.97 / Avg: 41.14 / Max: 41.25 Min: 44.45 / Avg: 44.56 / Max: 44.62 Min: 44.87 / Avg: 44.92 / Max: 45
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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 70 140 210 280 350 SE +/- 0.45, N = 3 SE +/- 0.42, N = 3 SE +/- 0.46, N = 3 SE +/- 0.43, N = 3 SE +/- 0.17, N = 3 SE +/- 0.59, N = 3 SE +/- 0.81, N = 3 SE +/- 0.78, N = 3 SE +/- 0.59, N = 3 SE +/- 0.75, N = 3 SE +/- 0.55, N = 3 SE +/- 0.64, N = 3 SE +/- 0.23, N = 3 SE +/- 0.31, N = 3 SE +/- 0.46, N = 3 SE +/- 0.29, N = 3 SE +/- 0.29, N = 3 SE +/- 0.40, N = 3 SE +/- 0.07, N = 3 SE +/- 0.15, N = 3 309.85 303.59 286.30 254.24 212.16 166.07 155.20 132.61 126.67 108.46 99.12 97.72 91.87 89.98 89.86 83.82 67.38 67.16 57.77 57.51 1. (CXX) g++ options: -O2 -lOpenCL
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP LavaMD EPYC 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 60 120 180 240 300 Min: 309.02 / Avg: 309.85 / Max: 310.56 Min: 302.91 / Avg: 303.59 / Max: 304.34 Min: 285.71 / Avg: 286.3 / Max: 287.21 Min: 253.65 / Avg: 254.24 / Max: 255.07 Min: 211.93 / Avg: 212.16 / Max: 212.49 Min: 165.23 / Avg: 166.07 / Max: 167.2 Min: 154.04 / Avg: 155.2 / Max: 156.75 Min: 131.57 / Avg: 132.61 / Max: 134.13 Min: 125.55 / Avg: 126.67 / Max: 127.57 Min: 107.41 / Avg: 108.46 / Max: 109.91 Min: 98.3 / Avg: 99.12 / Max: 100.18 Min: 97.08 / Avg: 97.72 / Max: 99 Min: 91.56 / Avg: 91.87 / Max: 92.33 Min: 89.65 / Avg: 89.98 / Max: 90.59 Min: 89.2 / Avg: 89.86 / Max: 90.75 Min: 83.25 / Avg: 83.82 / Max: 84.14 Min: 67.07 / Avg: 67.37 / Max: 67.95 Min: 66.55 / Avg: 67.16 / Max: 67.92 Min: 57.69 / Avg: 57.77 / Max: 57.9 Min: 57.23 / Avg: 57.51 / Max: 57.76 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7F72 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 2 4 6 8 10 SE +/- 0.01, 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 +/- 0.00, 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 +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 1.22 1.24 1.30 1.56 1.76 2.28 2.43 2.97 3.01 3.48 3.89 3.95 4.12 4.35 4.38 4.75 5.61 5.64 6.10 6.56 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7F72 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 3 6 9 12 15 Min: 1.2 / Avg: 1.22 / Max: 1.23 Min: 1.23 / Avg: 1.24 / Max: 1.24 Min: 1.29 / Avg: 1.3 / Max: 1.3 Min: 1.55 / Avg: 1.56 / Max: 1.57 Min: 1.75 / Avg: 1.76 / Max: 1.77 Min: 2.27 / Avg: 2.28 / Max: 2.3 Min: 2.42 / Avg: 2.43 / Max: 2.43 Min: 2.96 / Avg: 2.97 / Max: 2.98 Min: 2.99 / Avg: 3.01 / Max: 3.02 Min: 3.44 / Avg: 3.48 / Max: 3.51 Min: 3.89 / Avg: 3.89 / Max: 3.9 Min: 3.92 / Avg: 3.95 / Max: 3.99 Min: 4.12 / Avg: 4.12 / Max: 4.13 Min: 4.31 / Avg: 4.35 / Max: 4.37 Min: 4.36 / Avg: 4.38 / Max: 4.41 Min: 4.74 / Avg: 4.75 / Max: 4.76 Min: 5.59 / Avg: 5.61 / Max: 5.66 Min: 5.6 / Avg: 5.64 / Max: 5.67 Min: 6.09 / Avg: 6.1 / Max: 6.12 Min: 6.53 / Avg: 6.56 / Max: 6.59 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7F72 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 2 4 6 8 10 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, 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 +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, 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 1.23 1.24 1.29 1.55 1.77 2.30 2.44 2.98 3.02 3.49 3.88 3.94 4.12 4.30 4.35 4.73 5.58 5.63 6.11 6.58 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7F72 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 3 6 9 12 15 Min: 1.22 / Avg: 1.23 / Max: 1.24 Min: 1.23 / Avg: 1.24 / Max: 1.25 Min: 1.29 / Avg: 1.29 / Max: 1.3 Min: 1.53 / Avg: 1.55 / Max: 1.58 Min: 1.77 / Avg: 1.77 / Max: 1.78 Min: 2.29 / Avg: 2.3 / Max: 2.3 Min: 2.43 / Avg: 2.44 / Max: 2.46 Min: 2.95 / Avg: 2.98 / Max: 3.01 Min: 3 / Avg: 3.02 / Max: 3.03 Min: 3.47 / Avg: 3.49 / Max: 3.51 Min: 3.86 / Avg: 3.88 / Max: 3.9 Min: 3.92 / Avg: 3.94 / Max: 3.98 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: 4.72 / Avg: 4.73 / Max: 4.75 Min: 5.53 / Avg: 5.58 / Max: 5.63 Min: 5.61 / Avg: 5.63 / Max: 5.65 Min: 6.1 / Avg: 6.11 / Max: 6.12 Min: 6.56 / Avg: 6.58 / Max: 6.6 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 200 400 600 800 1000 SE +/- 0.33, N = 3 SE +/- 0.33, N = 3 SE +/- 0.58, N = 3 SE +/- 0.88, N = 3 SE +/- 0.33, N = 3 SE +/- 0.58, N = 3 SE +/- 0.58, N = 3 SE +/- 0.88, N = 3 162 165 174 196 240 315 332 384 415 471 513 532 554 570 582 601 732 756 820 864 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 150 300 450 600 750 Min: 196 / Avg: 196.33 / Max: 197 Min: 415 / Avg: 415.33 / Max: 416 Min: 512 / Avg: 513 / Max: 514 Min: 530 / Avg: 531.67 / Max: 533 Min: 554 / Avg: 554.33 / Max: 555 Min: 755 / Avg: 756 / Max: 757 Min: 819 / Avg: 820 / Max: 821 Min: 862 / Avg: 863.67 / Max: 865 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 8 16 24 32 40 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, 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 +/- 0.00, 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 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 32.88 32.38 30.98 27.00 22.25 17.54 16.30 13.77 13.30 11.48 10.49 10.39 9.87 9.56 9.55 8.88 7.26 7.21 6.26 6.25 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 7 14 21 28 35 Min: 32.87 / Avg: 32.88 / Max: 32.89 Min: 32.37 / Avg: 32.38 / Max: 32.38 Min: 30.94 / Avg: 30.98 / Max: 31.02 Min: 26.97 / Avg: 27 / Max: 27.02 Min: 22.24 / Avg: 22.25 / Max: 22.25 Min: 17.54 / Avg: 17.54 / Max: 17.55 Min: 16.29 / Avg: 16.3 / Max: 16.3 Min: 13.76 / Avg: 13.77 / Max: 13.78 Min: 13.3 / Avg: 13.3 / Max: 13.3 Min: 11.48 / Avg: 11.48 / Max: 11.49 Min: 10.48 / Avg: 10.49 / Max: 10.5 Min: 10.38 / Avg: 10.39 / Max: 10.4 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: 8.88 / Avg: 8.88 / Max: 8.89 Min: 7.25 / Avg: 7.26 / Max: 7.26 Min: 7.21 / Avg: 7.21 / Max: 7.22 Min: 6.25 / Avg: 6.26 / Max: 6.27 Min: 6.24 / Avg: 6.25 / Max: 6.25 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7352 EPYC 7282 EPYC 7302P EPYC 7402P EPYC 7F72 EPYC 7272 EPYC 7F52 EPYC 7532 EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7702 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 3 6 9 12 15 SE +/- 0.02321, N = 3 SE +/- 0.13888, N = 3 SE +/- 0.06464, N = 3 SE +/- 0.04355, N = 3 SE +/- 0.02264, N = 3 SE +/- 0.07374, N = 3 SE +/- 0.00888, N = 3 SE +/- 0.04730, N = 3 SE +/- 0.03237, N = 3 SE +/- 0.07848, N = 3 SE +/- 0.03563, N = 3 SE +/- 0.01388, N = 3 SE +/- 0.01709, N = 3 SE +/- 0.00330, N = 3 SE +/- 0.00963, N = 3 SE +/- 0.00193, N = 3 SE +/- 0.00727, N = 3 SE +/- 0.03246, N = 3 SE +/- 0.00807, N = 3 SE +/- 0.01117, N = 3 9.61958 9.24304 8.37286 7.96836 7.15861 6.27642 6.23365 6.08993 5.81070 5.80076 5.61953 2.39590 2.37717 2.23666 2.20492 2.11772 2.11379 2.07711 1.97320 1.84929 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7352 EPYC 7282 EPYC 7302P EPYC 7402P EPYC 7F72 EPYC 7272 EPYC 7F52 EPYC 7532 EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7702 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 3 6 9 12 15 Min: 9.58 / Avg: 9.62 / Max: 9.65 Min: 9 / Avg: 9.24 / Max: 9.48 Min: 8.25 / Avg: 8.37 / Max: 8.47 Min: 7.89 / Avg: 7.97 / Max: 8.04 Min: 7.12 / Avg: 7.16 / Max: 7.19 Min: 6.18 / Avg: 6.28 / Max: 6.42 Min: 6.22 / Avg: 6.23 / Max: 6.24 Min: 6.03 / Avg: 6.09 / Max: 6.18 Min: 5.75 / Avg: 5.81 / Max: 5.86 Min: 5.71 / Avg: 5.8 / Max: 5.96 Min: 5.55 / Avg: 5.62 / Max: 5.66 Min: 2.37 / Avg: 2.4 / Max: 2.42 Min: 2.34 / Avg: 2.38 / Max: 2.4 Min: 2.23 / Avg: 2.24 / Max: 2.24 Min: 2.19 / Avg: 2.2 / Max: 2.22 Min: 2.11 / Avg: 2.12 / Max: 2.12 Min: 2.1 / Avg: 2.11 / Max: 2.13 Min: 2.03 / Avg: 2.08 / Max: 2.14 Min: 1.96 / Avg: 1.97 / Max: 1.99 Min: 1.83 / Avg: 1.85 / Max: 1.87 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7F72 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7642 EPYC 7552 EPYC 7662 EPYC 7702 50 100 150 200 250 SE +/- 1.38, N = 3 SE +/- 0.18, N = 3 SE +/- 0.74, N = 3 SE +/- 0.21, N = 3 SE +/- 0.40, N = 3 SE +/- 0.31, N = 3 SE +/- 0.07, N = 3 SE +/- 0.13, N = 3 SE +/- 0.08, N = 3 SE +/- 0.33, N = 3 SE +/- 0.73, N = 3 SE +/- 0.32, N = 3 SE +/- 0.11, N = 3 SE +/- 0.39, N = 3 SE +/- 0.08, N = 3 SE +/- 0.22, N = 3 SE +/- 0.06, N = 3 SE +/- 0.33, N = 3 SE +/- 0.04, N = 3 SE +/- 0.14, N = 3 214.06 207.16 192.65 165.25 144.84 114.07 107.22 88.35 84.66 73.60 69.33 68.12 64.81 62.29 61.39 58.77 48.27 47.77 42.02 41.73
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: BMW27 - Compute: CPU-Only EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7F72 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7642 EPYC 7552 EPYC 7662 EPYC 7702 40 80 120 160 200 Min: 212.22 / Avg: 214.06 / Max: 216.75 Min: 206.8 / Avg: 207.16 / Max: 207.4 Min: 191.37 / Avg: 192.65 / Max: 193.92 Min: 164.92 / Avg: 165.25 / Max: 165.65 Min: 144.04 / Avg: 144.84 / Max: 145.31 Min: 113.59 / Avg: 114.07 / Max: 114.66 Min: 107.13 / Avg: 107.22 / Max: 107.36 Min: 88.14 / Avg: 88.35 / Max: 88.6 Min: 84.5 / Avg: 84.66 / Max: 84.76 Min: 72.99 / Avg: 73.6 / Max: 74.1 Min: 67.94 / Avg: 69.33 / Max: 70.39 Min: 67.79 / Avg: 68.12 / Max: 68.76 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: 58.35 / Avg: 58.77 / Max: 59.06 Min: 48.17 / Avg: 48.27 / Max: 48.39 Min: 47.25 / Avg: 47.77 / Max: 48.37 Min: 41.96 / Avg: 42.02 / Max: 42.09 Min: 41.46 / Avg: 41.73 / Max: 41.91
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 7252 EPYC 7232P EPYC 7F32 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 6 12 18 24 30 SE +/- 0.052, N = 9 SE +/- 0.015, N = 3 SE +/- 0.065, N = 3 SE +/- 0.016, N = 3 SE +/- 0.053, N = 3 SE +/- 0.053, N = 3 SE +/- 0.032, N = 3 SE +/- 0.005, N = 3 SE +/- 0.055, N = 3 SE +/- 0.009, N = 3 SE +/- 0.028, N = 3 SE +/- 0.073, N = 3 SE +/- 0.057, N = 3 SE +/- 0.038, N = 3 SE +/- 0.007, N = 3 SE +/- 0.046, N = 3 SE +/- 0.054, N = 3 SE +/- 0.047, N = 3 SE +/- 0.164, N = 3 SE +/- 0.022, N = 3 4.895 5.214 5.531 5.762 7.459 9.441 10.431 12.242 13.040 14.700 16.035 16.078 17.261 17.307 17.343 17.943 22.000 22.299 24.188 25.007 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 7252 EPYC 7232P EPYC 7F32 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 6 12 18 24 30 Min: 4.57 / Avg: 4.9 / Max: 5.06 Min: 5.18 / Avg: 5.21 / Max: 5.23 Min: 5.43 / Avg: 5.53 / Max: 5.65 Min: 5.73 / Avg: 5.76 / Max: 5.78 Min: 7.4 / Avg: 7.46 / Max: 7.56 Min: 9.35 / Avg: 9.44 / Max: 9.54 Min: 10.37 / Avg: 10.43 / Max: 10.48 Min: 12.23 / Avg: 12.24 / Max: 12.25 Min: 12.93 / Avg: 13.04 / Max: 13.11 Min: 14.68 / Avg: 14.7 / Max: 14.72 Min: 15.98 / Avg: 16.04 / Max: 16.06 Min: 15.98 / Avg: 16.08 / Max: 16.22 Min: 17.15 / Avg: 17.26 / Max: 17.33 Min: 17.26 / Avg: 17.31 / Max: 17.38 Min: 17.33 / Avg: 17.34 / Max: 17.36 Min: 17.88 / Avg: 17.94 / Max: 18.03 Min: 21.93 / Avg: 22 / Max: 22.11 Min: 22.22 / Avg: 22.3 / Max: 22.38 Min: 23.87 / Avg: 24.19 / Max: 24.41 Min: 24.97 / Avg: 25.01 / Max: 25.05 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 50 100 150 200 250 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.17, N = 3 SE +/- 0.10, N = 3 SE +/- 0.08, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.09, N = 3 SE +/- 0.09, N = 3 SE +/- 0.05, N = 3 SE +/- 0.26, N = 3 SE +/- 0.10, N = 3 SE +/- 0.27, N = 3 SE +/- 0.09, N = 3 47.79 48.61 50.44 58.90 68.59 83.37 90.31 108.28 114.47 134.24 149.44 152.48 162.20 167.97 168.05 182.84 218.50 219.29 243.21 243.77
Result Confidence
OpenBenchmarking.org mrays/s, More Is Better rays1bench 2020-01-09 Large Scene EPYC 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 40 80 120 160 200 Min: 47.7 / Avg: 47.79 / Max: 47.88 Min: 48.59 / Avg: 48.61 / Max: 48.62 Min: 50.41 / Avg: 50.44 / Max: 50.48 Min: 58.86 / Avg: 58.9 / Max: 58.95 Min: 68.53 / Avg: 68.59 / Max: 68.63 Min: 83.02 / Avg: 83.37 / Max: 83.54 Min: 90.19 / Avg: 90.31 / Max: 90.51 Min: 108.18 / Avg: 108.28 / Max: 108.44 Min: 114.38 / Avg: 114.47 / Max: 114.53 Min: 134.14 / Avg: 134.24 / Max: 134.33 Min: 149.35 / Avg: 149.44 / Max: 149.54 Min: 152.45 / Avg: 152.48 / Max: 152.51 Min: 162.12 / Avg: 162.2 / Max: 162.29 Min: 167.81 / Avg: 167.97 / Max: 168.11 Min: 167.87 / Avg: 168.05 / Max: 168.17 Min: 182.76 / Avg: 182.84 / Max: 182.93 Min: 218.04 / Avg: 218.5 / Max: 218.94 Min: 219.13 / Avg: 219.29 / Max: 219.46 Min: 242.78 / Avg: 243.21 / Max: 243.72 Min: 243.6 / Avg: 243.77 / Max: 243.91
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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 160K 320K 480K 640K 800K SE +/- 390.58, N = 3 SE +/- 242.40, N = 3 SE +/- 281.99, N = 3 SE +/- 763.33, N = 3 SE +/- 190.54, N = 3 SE +/- 371.28, N = 3 SE +/- 458.18, N = 3 SE +/- 595.69, N = 3 SE +/- 964.32, N = 3 SE +/- 148.41, N = 3 SE +/- 744.17, N = 3 SE +/- 1819.29, N = 3 SE +/- 1360.81, N = 3 SE +/- 3314.57, N = 3 SE +/- 1272.74, N = 3 SE +/- 1853.99, N = 3 SE +/- 1753.24, N = 3 SE +/- 1866.98, N = 3 SE +/- 11784.18, N = 3 SE +/- 11534.89, N = 3 144558 152685 158358 178724 226615 285548 311207 337875 381123 437752 463582 474244 489956 513483 514016 550558 642567 649201 725672 731736 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 130K 260K 390K 520K 650K Min: 144006.14 / Avg: 144558.41 / Max: 145312.98 Min: 152214.65 / Avg: 152685.35 / Max: 153021.23 Min: 157829.21 / Avg: 158358.26 / Max: 158791.99 Min: 177208.31 / Avg: 178724.19 / Max: 179639.08 Min: 226256.52 / Avg: 226615.41 / Max: 226905.81 Min: 285054.9 / Avg: 285547.86 / Max: 286275.27 Min: 310297.61 / Avg: 311206.78 / Max: 311760.54 Min: 337174.62 / Avg: 337874.52 / Max: 339059.42 Min: 379914.86 / Avg: 381122.97 / Max: 383028.99 Min: 437599.54 / Avg: 437751.6 / Max: 438048.38 Min: 462640.97 / Avg: 463581.66 / Max: 465050.85 Min: 471317.66 / Avg: 474244.13 / Max: 477579.87 Min: 487238.87 / Avg: 489955.82 / Max: 491452.38 Min: 506902.52 / Avg: 513483.29 / Max: 517465.87 Min: 511766.55 / Avg: 514016.17 / Max: 516172.49 Min: 546858.3 / Avg: 550558.13 / Max: 552620.87 Min: 639083.37 / Avg: 642567.28 / Max: 644653.15 Min: 646151.18 / Avg: 649201.35 / Max: 652591.71 Min: 702987.15 / Avg: 725671.92 / Max: 742550.71 Min: 715925.22 / Avg: 731736.03 / Max: 754190.49 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 0.3893 0.7786 1.1679 1.5572 1.9465 SE +/- 0.005, N = 3 SE +/- 0.002, N = 3 SE +/- 0.003, N = 3 SE +/- 0.006, 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 +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, 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 +/- 0.006, N = 3 SE +/- 0.005, N = 3 1.730 1.638 1.580 1.400 1.104 0.876 0.804 0.741 0.657 0.572 0.540 0.528 0.511 0.488 0.487 0.455 0.390 0.386 0.346 0.343 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 2 4 6 8 10 Min: 1.72 / Avg: 1.73 / Max: 1.74 Min: 1.64 / Avg: 1.64 / Max: 1.64 Min: 1.58 / Avg: 1.58 / Max: 1.59 Min: 1.39 / Avg: 1.4 / Max: 1.41 Min: 1.1 / Avg: 1.1 / Max: 1.11 Min: 0.87 / Avg: 0.88 / Max: 0.88 Min: 0.8 / Avg: 0.8 / Max: 0.81 Min: 0.74 / Avg: 0.74 / Max: 0.74 Min: 0.65 / Avg: 0.66 / Max: 0.66 Min: 0.57 / Avg: 0.57 / Max: 0.57 Min: 0.54 / Avg: 0.54 / Max: 0.54 Min: 0.52 / Avg: 0.53 / Max: 0.53 Min: 0.51 / Avg: 0.51 / Max: 0.51 Min: 0.48 / Avg: 0.49 / Max: 0.49 Min: 0.49 / Avg: 0.49 / Max: 0.49 Min: 0.45 / Avg: 0.46 / Max: 0.46 Min: 0.39 / Avg: 0.39 / Max: 0.39 Min: 0.38 / Avg: 0.39 / Max: 0.39 Min: 0.34 / Avg: 0.35 / Max: 0.36 Min: 0.33 / Avg: 0.34 / Max: 0.35 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7F72 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 14 28 42 56 70 SE +/- 0.29, N = 3 SE +/- 0.09, N = 3 SE +/- 0.16, N = 3 SE +/- 0.11, N = 3 SE +/- 0.10, N = 3 SE +/- 0.05, N = 3 SE +/- 0.14, N = 3 SE +/- 0.06, N = 3 SE +/- 0.08, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.09, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 61.51 60.37 57.60 50.03 41.65 33.03 31.05 26.27 25.35 22.14 19.91 19.89 19.09 18.51 18.44 17.04 14.19 14.11 12.26 12.21 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7F72 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 12 24 36 48 60 Min: 60.97 / Avg: 61.51 / Max: 61.97 Min: 60.21 / Avg: 60.37 / Max: 60.52 Min: 57.29 / Avg: 57.6 / Max: 57.82 Min: 49.81 / Avg: 50.03 / Max: 50.16 Min: 41.44 / Avg: 41.65 / Max: 41.77 Min: 32.97 / Avg: 33.03 / Max: 33.13 Min: 30.9 / Avg: 31.05 / Max: 31.33 Min: 26.18 / Avg: 26.27 / Max: 26.37 Min: 25.21 / Avg: 25.35 / Max: 25.51 Min: 22.06 / Avg: 22.14 / Max: 22.21 Min: 19.82 / Avg: 19.91 / Max: 20 Min: 19.8 / Avg: 19.89 / Max: 20.07 Min: 19 / Avg: 19.09 / Max: 19.15 Min: 18.47 / Avg: 18.51 / Max: 18.57 Min: 18.3 / Avg: 18.44 / Max: 18.53 Min: 16.94 / Avg: 17.04 / Max: 17.13 Min: 14.15 / Avg: 14.19 / Max: 14.22 Min: 14.01 / Avg: 14.11 / Max: 14.21 Min: 12.22 / Avg: 12.26 / Max: 12.29 Min: 12.18 / Avg: 12.21 / Max: 12.28 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7302P EPYC 7282 EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7532 EPYC 7452 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7662 EPYC 7702 EPYC 7552 EPYC 7642 200K 400K 600K 800K 1000K SE +/- 87.29, N = 3 SE +/- 444.88, N = 3 SE +/- 874.00, N = 3 SE +/- 704.81, N = 3 SE +/- 637.02, N = 3 SE +/- 1217.31, N = 3 SE +/- 2227.34, N = 3 SE +/- 819.25, N = 3 SE +/- 884.69, N = 3 SE +/- 1031.24, N = 3 SE +/- 3196.29, N = 3 SE +/- 287.53, N = 3 SE +/- 6473.07, N = 3 SE +/- 2789.75, N = 3 SE +/- 2586.15, N = 3 SE +/- 574.88, N = 3 SE +/- 1464.36, N = 3 SE +/- 570.05, N = 3 SE +/- 3785.97, N = 3 SE +/- 2622.87, N = 3 190060 191561 199119 225099 278801 364724 364836 410284 450148 522618 538427 588980 625180 690889 692827 746431 837443 842042 947547 954573 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7302P EPYC 7282 EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7532 EPYC 7452 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7662 EPYC 7702 EPYC 7552 EPYC 7642 170K 340K 510K 680K 850K Min: 189965.32 / Avg: 190060.47 / Max: 190234.8 Min: 190678.73 / Avg: 191561.09 / Max: 192101.4 Min: 197398.93 / Avg: 199119.18 / Max: 200248.01 Min: 224328.18 / Avg: 225098.69 / Max: 226506.21 Min: 277732.53 / Avg: 278800.91 / Max: 279936.18 Min: 362322.11 / Avg: 364724.07 / Max: 366269.28 Min: 360469.96 / Avg: 364836.23 / Max: 367784.14 Min: 408978.87 / Avg: 410283.57 / Max: 411794.3 Min: 448933.06 / Avg: 450147.68 / Max: 451869.24 Min: 520867.61 / Avg: 522617.98 / Max: 524437.91 Min: 532561.51 / Avg: 538427.36 / Max: 543560.87 Min: 588673.02 / Avg: 588979.95 / Max: 589554.56 Min: 612463.48 / Avg: 625180.49 / Max: 633639.01 Min: 685623.23 / Avg: 690888.85 / Max: 695119.5 Min: 690194.76 / Avg: 692827.15 / Max: 697999.18 Min: 745405.8 / Avg: 746431 / Max: 747394.36 Min: 834514.55 / Avg: 837442.79 / Max: 838952.55 Min: 841070.28 / Avg: 842041.76 / Max: 843044.24 Min: 940111.61 / Avg: 947547.37 / Max: 952503.31 Min: 949330.8 / Avg: 954572.83 / Max: 957364.51 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7302P EPYC 7282 EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7532 EPYC 7452 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7702 EPYC 7662 EPYC 7552 EPYC 7642 0.1186 0.2372 0.3558 0.4744 0.593 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 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 +/- 0.002, 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 0.527 0.522 0.503 0.445 0.359 0.274 0.274 0.244 0.223 0.192 0.186 0.170 0.160 0.145 0.144 0.134 0.119 0.119 0.106 0.105 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7302P EPYC 7282 EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7532 EPYC 7452 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7702 EPYC 7662 EPYC 7552 EPYC 7642 2 4 6 8 10 Min: 0.53 / Avg: 0.53 / Max: 0.53 Min: 0.52 / Avg: 0.52 / Max: 0.53 Min: 0.5 / Avg: 0.5 / Max: 0.51 Min: 0.44 / Avg: 0.44 / Max: 0.45 Min: 0.36 / Avg: 0.36 / Max: 0.36 Min: 0.27 / Avg: 0.27 / Max: 0.28 Min: 0.27 / Avg: 0.27 / Max: 0.28 Min: 0.24 / Avg: 0.24 / Max: 0.25 Min: 0.22 / Avg: 0.22 / Max: 0.22 Min: 0.19 / Avg: 0.19 / Max: 0.19 Min: 0.18 / Avg: 0.19 / Max: 0.19 Min: 0.17 / Avg: 0.17 / Max: 0.17 Min: 0.16 / Avg: 0.16 / Max: 0.16 Min: 0.14 / Avg: 0.15 / Max: 0.15 Min: 0.14 / Avg: 0.14 / Max: 0.15 Min: 0.13 / Avg: 0.13 / Max: 0.13 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 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 7252 EPYC 7262 EPYC 7232P EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7F52 EPYC 7402P EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7662 6 12 18 24 30 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.19, N = 3 SE +/- 0.14, N = 6 SE +/- 0.00, N = 3 SE +/- 0.16, N = 15 SE +/- 0.21, N = 4 SE +/- 0.28, N = 3 SE +/- 0.01, N = 3 SE +/- 0.24, N = 15 SE +/- 0.28, N = 4 SE +/- 0.23, N = 3 SE +/- 0.25, N = 15 SE +/- 0.07, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 5.57 6.06 6.49 7.66 8.77 11.06 11.54 13.00 13.84 14.57 14.91 16.83 18.55 18.72 19.60 19.87 23.66 24.70 27.41 27.53
Result Confidence
OpenBenchmarking.org Images / Sec, More Is Better Intel Open Image Denoise 1.2.0 Scene: Memorial EPYC 7252 EPYC 7262 EPYC 7232P EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7F52 EPYC 7402P EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7662 6 12 18 24 30 Min: 5.47 / Avg: 5.57 / Max: 5.62 Min: 6.02 / Avg: 6.06 / Max: 6.09 Min: 6.46 / Avg: 6.49 / Max: 6.51 Min: 7.63 / Avg: 7.66 / Max: 7.7 Min: 8.73 / Avg: 8.77 / Max: 8.81 Min: 10.99 / Avg: 11.06 / Max: 11.12 Min: 11.19 / Avg: 11.54 / Max: 11.82 Min: 12.45 / Avg: 13 / Max: 13.55 Min: 13.83 / Avg: 13.84 / Max: 13.84 Min: 13.77 / Avg: 14.57 / Max: 15.9 Min: 14.66 / Avg: 14.91 / Max: 15.55 Min: 16.43 / Avg: 16.83 / Max: 17.36 Min: 18.53 / Avg: 18.55 / Max: 18.57 Min: 16.88 / Avg: 18.72 / Max: 19.81 Min: 18.81 / Avg: 19.6 / Max: 20.07 Min: 19.63 / Avg: 19.87 / Max: 20.32 Min: 22 / Avg: 23.66 / Max: 25.03 Min: 24.56 / Avg: 24.7 / Max: 24.8 Min: 27.34 / Avg: 27.41 / Max: 27.46 Min: 27.42 / Avg: 27.53 / Max: 27.62
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: 1000 - Clients: 250 - Mode: Read Only EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7662 150K 300K 450K 600K 750K SE +/- 215.85, N = 3 SE +/- 228.56, N = 3 SE +/- 175.33, N = 3 SE +/- 247.67, N = 3 SE +/- 402.38, N = 3 SE +/- 619.63, N = 3 SE +/- 1077.02, N = 3 SE +/- 555.77, N = 3 SE +/- 1409.40, N = 3 SE +/- 144.21, N = 3 SE +/- 1014.57, N = 3 SE +/- 724.69, N = 3 SE +/- 1195.56, N = 3 SE +/- 1331.68, N = 3 SE +/- 1730.67, N = 3 SE +/- 2717.04, N = 3 SE +/- 3817.77, N = 3 SE +/- 1356.41, N = 3 SE +/- 7702.49, N = 6 SE +/- 7809.46, N = 3 138357 146025 151111 169435 216661 271729 296331 319683 362848 417043 443685 450377 465233 484567 485489 517604 593198 598734 671452 680891 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7662 120K 240K 360K 480K 600K Min: 137940.02 / Avg: 138357.37 / Max: 138661.61 Min: 145741.05 / Avg: 146025.04 / Max: 146477.26 Min: 150760.55 / Avg: 151110.81 / Max: 151300.29 Min: 168939.25 / Avg: 169434.57 / Max: 169687.21 Min: 215859.43 / Avg: 216661.44 / Max: 217120.02 Min: 270504.51 / Avg: 271728.67 / Max: 272507.76 Min: 294542.54 / Avg: 296331.36 / Max: 298265.02 Min: 319110.96 / Avg: 319682.59 / Max: 320793.98 Min: 360029.39 / Avg: 362848.08 / Max: 364277.87 Min: 416754.87 / Avg: 417043.13 / Max: 417195.63 Min: 441750.91 / Avg: 443684.54 / Max: 445184.12 Min: 449445.05 / Avg: 450376.81 / Max: 451804.14 Min: 462949.41 / Avg: 465233.32 / Max: 466988.38 Min: 482176.8 / Avg: 484566.79 / Max: 486779.65 Min: 482047.03 / Avg: 485488.6 / Max: 487529.28 Min: 513346.16 / Avg: 517604.43 / Max: 522657.15 Min: 588437.25 / Avg: 593198.23 / Max: 600748.42 Min: 596198.71 / Avg: 598733.94 / Max: 600837.62 Min: 641670.74 / Avg: 671451.59 / Max: 692136.61 Min: 668077.17 / Avg: 680891.1 / Max: 695032.12 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7662 0.4068 0.8136 1.2204 1.6272 2.034 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 +/- 0.002, N = 3 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 SE +/- 0.003, 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 +/- 0.002, N = 3 SE +/- 0.003, N = 3 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 SE +/- 0.004, N = 6 SE +/- 0.004, N = 3 1.808 1.713 1.655 1.476 1.155 0.921 0.844 0.783 0.690 0.600 0.564 0.556 0.538 0.517 0.516 0.484 0.422 0.418 0.374 0.368 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7662 2 4 6 8 10 Min: 1.8 / Avg: 1.81 / Max: 1.81 Min: 1.71 / Avg: 1.71 / Max: 1.72 Min: 1.65 / Avg: 1.66 / Max: 1.66 Min: 1.47 / Avg: 1.48 / Max: 1.48 Min: 1.15 / Avg: 1.15 / Max: 1.16 Min: 0.92 / Avg: 0.92 / Max: 0.93 Min: 0.84 / Avg: 0.84 / Max: 0.85 Min: 0.78 / Avg: 0.78 / Max: 0.78 Min: 0.69 / Avg: 0.69 / Max: 0.7 Min: 0.6 / Avg: 0.6 / Max: 0.6 Min: 0.56 / Avg: 0.56 / Max: 0.57 Min: 0.55 / Avg: 0.56 / Max: 0.56 Min: 0.54 / Avg: 0.54 / Max: 0.54 Min: 0.52 / Avg: 0.52 / Max: 0.52 Min: 0.51 / Avg: 0.52 / Max: 0.52 Min: 0.48 / Avg: 0.48 / Max: 0.49 Min: 0.42 / Avg: 0.42 / Max: 0.43 Min: 0.42 / Avg: 0.42 / Max: 0.42 Min: 0.36 / Avg: 0.37 / Max: 0.39 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
Result
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 100 - Mode: Read Only EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 160K 320K 480K 640K 800K SE +/- 254.87, N = 3 SE +/- 205.85, N = 3 SE +/- 305.74, N = 3 SE +/- 241.14, N = 3 SE +/- 329.91, N = 3 SE +/- 966.61, N = 3 SE +/- 389.05, N = 3 SE +/- 683.10, N = 3 SE +/- 1232.15, N = 3 SE +/- 1670.95, N = 3 SE +/- 969.08, N = 3 SE +/- 470.31, N = 3 SE +/- 111.05, N = 3 SE +/- 1887.75, N = 3 SE +/- 177.44, N = 3 SE +/- 546.50, N = 3 SE +/- 2221.89, N = 3 SE +/- 1797.71, N = 3 SE +/- 4530.06, N = 3 SE +/- 827.25, N = 3 153957 156630 158436 177920 228748 282418 298191 315464 358726 407055 427421 455775 466511 492677 495910 531391 649224 663004 727901 743304 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 130K 260K 390K 520K 650K Min: 153447.84 / Avg: 153956.74 / Max: 154236.45 Min: 156252.68 / Avg: 156629.93 / Max: 156961.35 Min: 157865.28 / Avg: 158436.38 / Max: 158911.19 Min: 177454.45 / Avg: 177919.83 / Max: 178262.11 Min: 228141.19 / Avg: 228748.21 / Max: 229275.69 Min: 281209.04 / Avg: 282418.32 / Max: 284329.18 Min: 297431.92 / Avg: 298190.97 / Max: 298718.73 Min: 314189.87 / Avg: 315463.89 / Max: 316528.12 Min: 356400.28 / Avg: 358726.15 / Max: 360594.31 Min: 403723.1 / Avg: 407054.86 / Max: 408946.14 Min: 425483.96 / Avg: 427421.1 / Max: 428444.12 Min: 454920.9 / Avg: 455775.26 / Max: 456543.22 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: 530679.58 / Avg: 531390.67 / Max: 532465.07 Min: 645401.97 / Avg: 649223.99 / Max: 653098.28 Min: 659437.26 / Avg: 663004.17 / Max: 665178.95 Min: 720293.42 / Avg: 727901.14 / Max: 735966.03 Min: 742300.99 / Avg: 743304.49 / Max: 744945.44 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7F52 EPYC 7402P EPYC 7532 EPYC 7F72 EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7702 EPYC 7552 EPYC 7642 EPYC 7662 0.7793 1.5586 2.3379 3.1172 3.8965 SE +/- 0.016593, N = 3 SE +/- 0.004002, N = 3 SE +/- 0.006361, N = 3 SE +/- 0.009985, N = 3 SE +/- 0.007608, N = 3 SE +/- 0.004830, N = 3 SE +/- 0.001101, N = 3 SE +/- 0.004607, N = 3 SE +/- 0.000682, N = 3 SE +/- 0.003515, N = 3 SE +/- 0.002118, N = 3 SE +/- 0.002303, N = 3 SE +/- 0.003046, N = 3 SE +/- 0.002388, N = 3 SE +/- 0.001858, N = 3 SE +/- 0.001175, N = 3 SE +/- 0.000923, N = 3 SE +/- 0.002251, N = 3 SE +/- 0.001383, N = 3 SE +/- 0.001863, N = 3 3.463720 3.214030 3.068100 2.771650 2.349540 1.755500 1.610260 1.417550 1.411110 1.153190 1.070150 1.065380 1.044080 0.988117 0.964679 0.904213 0.808188 0.806585 0.787011 0.719245 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7F52 EPYC 7402P EPYC 7532 EPYC 7F72 EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7702 EPYC 7552 EPYC 7642 EPYC 7662 2 4 6 8 10 Min: 3.43 / Avg: 3.46 / Max: 3.49 Min: 3.21 / Avg: 3.21 / Max: 3.22 Min: 3.06 / Avg: 3.07 / Max: 3.08 Min: 2.75 / Avg: 2.77 / Max: 2.78 Min: 2.34 / Avg: 2.35 / Max: 2.36 Min: 1.75 / Avg: 1.76 / Max: 1.76 Min: 1.61 / Avg: 1.61 / Max: 1.61 Min: 1.41 / Avg: 1.42 / Max: 1.43 Min: 1.41 / Avg: 1.41 / Max: 1.41 Min: 1.15 / Avg: 1.15 / Max: 1.16 Min: 1.07 / Avg: 1.07 / Max: 1.07 Min: 1.06 / Avg: 1.07 / Max: 1.07 Min: 1.04 / Avg: 1.04 / Max: 1.05 Min: 0.99 / Avg: 0.99 / Max: 0.99 Min: 0.96 / Avg: 0.96 / Max: 0.97 Min: 0.9 / Avg: 0.9 / Max: 0.91 Min: 0.81 / Avg: 0.81 / Max: 0.81 Min: 0.8 / Avg: 0.81 / Max: 0.81 Min: 0.79 / Avg: 0.79 / Max: 0.79 Min: 0.72 / Avg: 0.72 / Max: 0.72 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 0.1463 0.2926 0.4389 0.5852 0.7315 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 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 +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 0.650 0.639 0.632 0.562 0.438 0.354 0.336 0.317 0.279 0.246 0.234 0.220 0.215 0.203 0.202 0.189 0.154 0.151 0.138 0.135 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 2 4 6 8 10 Min: 0.65 / Avg: 0.65 / Max: 0.65 Min: 0.64 / Avg: 0.64 / Max: 0.64 Min: 0.63 / Avg: 0.63 / Max: 0.63 Min: 0.56 / Avg: 0.56 / Max: 0.56 Min: 0.44 / Avg: 0.44 / Max: 0.44 Min: 0.35 / Avg: 0.35 / Max: 0.36 Min: 0.34 / Avg: 0.34 / Max: 0.34 Min: 0.32 / Avg: 0.32 / Max: 0.32 Min: 0.28 / Avg: 0.28 / Max: 0.28 Min: 0.25 / Avg: 0.25 / Max: 0.25 Min: 0.23 / Avg: 0.23 / Max: 0.24 Min: 0.22 / Avg: 0.22 / Max: 0.22 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: 0.19 / Avg: 0.19 / Max: 0.19 Min: 0.15 / Avg: 0.15 / Max: 0.16 Min: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.14 / Avg: 0.14 / Max: 0.14 Min: 0.13 / Avg: 0.13 / Max: 0.14 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7302P EPYC 7282 EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7702 EPYC 7552 EPYC 7642 EPYC 7662 2 4 6 8 10 SE +/- 0.01899, N = 3 SE +/- 0.01674, N = 3 SE +/- 0.00392, N = 3 SE +/- 0.03536, N = 3 SE +/- 0.00826, N = 3 SE +/- 0.00937, N = 3 SE +/- 0.00325, N = 3 SE +/- 0.00475, N = 3 SE +/- 0.02965, N = 3 SE +/- 0.04018, N = 3 SE +/- 0.00420, N = 3 SE +/- 0.01238, N = 3 SE +/- 0.00968, N = 3 SE +/- 0.00981, N = 3 SE +/- 0.00223, N = 3 SE +/- 0.00585, N = 3 SE +/- 0.00129, N = 3 SE +/- 0.01046, N = 3 SE +/- 0.00727, N = 3 SE +/- 0.00706, N = 3 7.00609 6.80051 6.33812 5.76680 4.75589 3.43344 3.41483 2.85775 2.81942 2.45058 2.18628 2.14353 2.07830 2.02097 2.00515 1.89790 1.57850 1.57190 1.55827 1.45860 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7302P EPYC 7282 EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7702 EPYC 7552 EPYC 7642 EPYC 7662 3 6 9 12 15 Min: 6.98 / Avg: 7.01 / Max: 7.04 Min: 6.77 / Avg: 6.8 / Max: 6.83 Min: 6.33 / Avg: 6.34 / Max: 6.34 Min: 5.71 / Avg: 5.77 / Max: 5.83 Min: 4.74 / Avg: 4.76 / Max: 4.77 Min: 3.42 / Avg: 3.43 / Max: 3.45 Min: 3.41 / Avg: 3.41 / Max: 3.42 Min: 2.85 / Avg: 2.86 / Max: 2.87 Min: 2.76 / Avg: 2.82 / Max: 2.85 Min: 2.37 / Avg: 2.45 / Max: 2.51 Min: 2.18 / Avg: 2.19 / Max: 2.19 Min: 2.13 / Avg: 2.14 / Max: 2.17 Min: 2.06 / Avg: 2.08 / Max: 2.09 Min: 2 / Avg: 2.02 / Max: 2.04 Min: 2 / Avg: 2.01 / Max: 2.01 Min: 1.89 / Avg: 1.9 / Max: 1.91 Min: 1.58 / Avg: 1.58 / Max: 1.58 Min: 1.56 / Avg: 1.57 / Max: 1.59 Min: 1.55 / Avg: 1.56 / Max: 1.57 Min: 1.45 / Avg: 1.46 / Max: 1.47 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 150K 300K 450K 600K 750K SE +/- 116.38, N = 3 SE +/- 282.55, N = 3 SE +/- 122.43, N = 3 SE +/- 440.23, N = 3 SE +/- 317.07, N = 3 SE +/- 237.11, N = 3 SE +/- 221.72, N = 3 SE +/- 578.92, N = 3 SE +/- 647.23, N = 3 SE +/- 1253.21, N = 3 SE +/- 269.40, N = 3 SE +/- 481.91, N = 3 SE +/- 534.92, N = 3 SE +/- 1456.20, N = 3 SE +/- 484.01, N = 3 SE +/- 1742.02, N = 3 SE +/- 2561.67, N = 3 SE +/- 4128.12, N = 3 SE +/- 3649.95, N = 3 SE +/- 1979.45, N = 3 147105 149308 150221 169323 219503 272783 283951 299776 345271 392376 408226 438754 445001 473444 475214 506125 623171 631040 683975 703406 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 120K 240K 360K 480K 600K Min: 146879.97 / Avg: 147104.64 / Max: 147269.66 Min: 148785.99 / Avg: 149307.5 / Max: 149756.72 Min: 150063.06 / Avg: 150220.92 / Max: 150461.96 Min: 168770.72 / Avg: 169322.65 / Max: 170192.71 Min: 219004.1 / Avg: 219503.27 / Max: 220091.57 Min: 272354.55 / Avg: 272782.71 / Max: 273173.35 Min: 283511.64 / Avg: 283950.66 / Max: 284224.23 Min: 298700.71 / Avg: 299775.71 / Max: 300685.69 Min: 344389.34 / Avg: 345271.42 / Max: 346532.94 Min: 390015.68 / Avg: 392375.76 / Max: 394286.62 Min: 407943.45 / Avg: 408226.49 / Max: 408765.06 Min: 437804.64 / Avg: 438753.97 / Max: 439372.84 Min: 444155.82 / Avg: 445000.55 / Max: 445991.47 Min: 471852.79 / Avg: 473444.33 / Max: 476352.39 Min: 474343.21 / Avg: 475213.99 / Max: 476015.6 Min: 502686.88 / Avg: 506124.8 / Max: 508333.05 Min: 618057.73 / Avg: 623171.49 / Max: 625999.8 Min: 623626.35 / Avg: 631039.66 / Max: 637893.74 Min: 677575.99 / Avg: 683975.18 / Max: 690216.83 Min: 700059.48 / Avg: 703406.49 / Max: 706911.07 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 0.153 0.306 0.459 0.612 0.765 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 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 +/- 0.001, 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 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 0.680 0.670 0.666 0.591 0.456 0.367 0.352 0.334 0.290 0.255 0.245 0.228 0.225 0.211 0.211 0.198 0.161 0.159 0.146 0.143 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 2 4 6 8 10 Min: 0.68 / Avg: 0.68 / Max: 0.68 Min: 0.67 / Avg: 0.67 / Max: 0.67 Min: 0.67 / Avg: 0.67 / Max: 0.67 Min: 0.59 / Avg: 0.59 / Max: 0.59 Min: 0.46 / Avg: 0.46 / Max: 0.46 Min: 0.37 / Avg: 0.37 / Max: 0.37 Min: 0.35 / Avg: 0.35 / Max: 0.35 Min: 0.33 / Avg: 0.33 / Max: 0.34 Min: 0.29 / Avg: 0.29 / Max: 0.29 Min: 0.25 / Avg: 0.26 / Max: 0.26 Min: 0.25 / Avg: 0.25 / Max: 0.25 Min: 0.23 / Avg: 0.23 / Max: 0.23 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: 0.2 / Avg: 0.2 / Max: 0.2 Min: 0.16 / Avg: 0.16 / Max: 0.16 Min: 0.16 / Avg: 0.16 / Max: 0.16 Min: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.14 / Avg: 0.14 / Max: 0.14 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7F52 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7552 EPYC 7642 EPYC 7502P EPYC 7502 EPYC 7702 EPYC 7542 EPYC 7662 40K 80K 120K 160K 200K SE +/- 384.36, N = 3 SE +/- 17.29, N = 3 SE +/- 319.47, N = 3 SE +/- 145.83, N = 3 SE +/- 28.32, N = 3 SE +/- 28.02, N = 3 SE +/- 74.39, N = 3 SE +/- 79.13, N = 3 SE +/- 89.89, N = 3 SE +/- 233.89, N = 3 SE +/- 76.57, N = 3 SE +/- 122.28, N = 3 SE +/- 133.33, N = 3 SE +/- 35.66, N = 3 SE +/- 94.61, N = 3 SE +/- 22.72, N = 3 SE +/- 62.14, N = 3 SE +/- 138.57, N = 3 SE +/- 23.48, N = 3 SE +/- 64.61, N = 3 171635.0 161011.0 160652.0 139149.0 120293.0 84104.2 80410.4 75486.4 68647.0 62532.0 59952.8 51004.7 50965.7 50064.0 47246.1 47163.9 47132.4 46464.0 44046.0 37901.1
Result Confidence
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Mobilenet Float EPYC 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7F52 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7552 EPYC 7642 EPYC 7502P EPYC 7502 EPYC 7702 EPYC 7542 EPYC 7662 30K 60K 90K 120K 150K Min: 170868 / Avg: 171635 / Max: 172063 Min: 160990 / Avg: 161010.67 / Max: 161045 Min: 160061 / Avg: 160651.67 / Max: 161158 Min: 138882 / Avg: 139149.33 / Max: 139384 Min: 120245 / Avg: 120292.67 / Max: 120343 Min: 84048.5 / Avg: 84104.23 / Max: 84137.2 Min: 80332.6 / Avg: 80410.37 / Max: 80559.1 Min: 75371.5 / Avg: 75486.4 / Max: 75638.1 Min: 68468.5 / Avg: 68647 / Max: 68754.8 Min: 62071.6 / Avg: 62532.03 / Max: 62833.8 Min: 59823.5 / Avg: 59952.77 / Max: 60088.5 Min: 50760.8 / Avg: 51004.7 / Max: 51142.1 Min: 50767.5 / Avg: 50965.7 / Max: 51219.3 Min: 49993.7 / Avg: 50063.97 / Max: 50109.7 Min: 47060.9 / Avg: 47246.07 / Max: 47372.4 Min: 47120.1 / Avg: 47163.93 / Max: 47196.2 Min: 47008.3 / Avg: 47132.37 / Max: 47200.6 Min: 46220.9 / Avg: 46464.03 / Max: 46700.8 Min: 44006.7 / Avg: 44046 / Max: 44087.9 Min: 37813.3 / Avg: 37901.1 / Max: 38027.1
Result
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Mobilenet Quant EPYC 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7F52 EPYC 7402P EPYC 7F72 EPYC 7552 EPYC 7452 EPYC 7532 EPYC 7642 EPYC 7702 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7662 40K 80K 120K 160K 200K SE +/- 126.18, N = 3 SE +/- 28.35, N = 3 SE +/- 331.41, N = 3 SE +/- 82.35, N = 3 SE +/- 51.29, N = 3 SE +/- 105.24, N = 3 SE +/- 98.40, N = 3 SE +/- 93.48, N = 3 SE +/- 125.94, N = 3 SE +/- 246.17, N = 3 SE +/- 124.60, N = 3 SE +/- 55.04, N = 3 SE +/- 134.69, N = 3 SE +/- 121.23, N = 3 SE +/- 76.67, N = 3 SE +/- 139.32, N = 3 SE +/- 5.65, N = 3 SE +/- 40.64, N = 3 SE +/- 125.75, N = 3 SE +/- 56.13, N = 3 174503.0 164541.0 163904.0 141836.0 122845.0 85334.2 82153.3 76578.7 69915.6 63770.3 60900.5 51905.1 51794.5 51690.4 48548.3 48294.1 47944.5 47938.6 44940.0 38559.7
Result Confidence
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Mobilenet Quant EPYC 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7F52 EPYC 7402P EPYC 7F72 EPYC 7552 EPYC 7452 EPYC 7532 EPYC 7642 EPYC 7702 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7662 30K 60K 90K 120K 150K Min: 174332 / Avg: 174502.67 / Max: 174749 Min: 164487 / Avg: 164541 / Max: 164583 Min: 163345 / Avg: 163904.33 / Max: 164492 Min: 141751 / Avg: 141836.33 / Max: 142001 Min: 122779 / Avg: 122845 / Max: 122946 Min: 85157.5 / Avg: 85334.2 / Max: 85521.6 Min: 82040.7 / Avg: 82153.33 / Max: 82349.4 Min: 76447.6 / Avg: 76578.73 / Max: 76759.7 Min: 69746.7 / Avg: 69915.63 / Max: 70161.9 Min: 63346.4 / Avg: 63770.3 / Max: 64199.1 Min: 60677.9 / Avg: 60900.53 / Max: 61108.8 Min: 51828.7 / Avg: 51905.07 / Max: 52011.9 Min: 51558.9 / Avg: 51794.53 / Max: 52025.4 Min: 51472.8 / Avg: 51690.43 / Max: 51891.8 Min: 48399.1 / Avg: 48548.33 / Max: 48653.5 Min: 48081.2 / Avg: 48294.07 / Max: 48556.2 Min: 47933.7 / Avg: 47944.47 / Max: 47952.8 Min: 47857.4 / Avg: 47938.63 / Max: 47981.5 Min: 44691.4 / Avg: 44939.97 / Max: 45097.4 Min: 38450.4 / Avg: 38559.7 / Max: 38636.5
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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7F52 EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7402P EPYC 7502P EPYC 7542 EPYC 7F72 EPYC 7702 EPYC 7552 EPYC 7642 EPYC 7662 3 6 9 12 15 SE +/- 0.17338, N = 15 SE +/- 0.05418, N = 3 SE +/- 0.01574, N = 3 SE +/- 0.03437, N = 3 SE +/- 0.10311, N = 3 SE +/- 0.07609, N = 12 SE +/- 0.05093, N = 3 SE +/- 0.03719, N = 3 SE +/- 0.01291, N = 3 SE +/- 0.04392, N = 3 SE +/- 0.02822, N = 3 SE +/- 0.03440, N = 3 SE +/- 0.04603, N = 5 SE +/- 0.02092, N = 3 SE +/- 0.00944, N = 3 SE +/- 0.00248, N = 3 SE +/- 0.04321, N = 3 SE +/- 0.00832, N = 3 SE +/- 0.02643, N = 3 SE +/- 0.00212, N = 3 10.59006 8.64768 7.92355 6.98497 6.96020 5.73573 5.29105 4.24031 4.02047 3.88586 3.80272 3.76741 3.73096 3.69676 3.54460 3.06396 2.89609 2.53147 2.38303 2.38156 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7F52 EPYC 7502 EPYC 7532 EPYC 7452 EPYC 7402P EPYC 7502P EPYC 7542 EPYC 7F72 EPYC 7702 EPYC 7552 EPYC 7642 EPYC 7662 3 6 9 12 15 Min: 9.83 / Avg: 10.59 / Max: 12.11 Min: 8.57 / Avg: 8.65 / Max: 8.75 Min: 7.9 / Avg: 7.92 / Max: 7.95 Min: 6.94 / Avg: 6.98 / Max: 7.05 Min: 6.79 / Avg: 6.96 / Max: 7.14 Min: 5.47 / Avg: 5.74 / Max: 6.46 Min: 5.21 / Avg: 5.29 / Max: 5.38 Min: 4.18 / Avg: 4.24 / Max: 4.3 Min: 4 / Avg: 4.02 / Max: 4.04 Min: 3.82 / Avg: 3.89 / Max: 3.97 Min: 3.77 / Avg: 3.8 / Max: 3.86 Min: 3.72 / Avg: 3.77 / Max: 3.83 Min: 3.57 / Avg: 3.73 / Max: 3.85 Min: 3.67 / Avg: 3.7 / Max: 3.74 Min: 3.53 / Avg: 3.54 / Max: 3.56 Min: 3.06 / Avg: 3.06 / Max: 3.07 Min: 2.83 / Avg: 2.9 / Max: 2.97 Min: 2.52 / Avg: 2.53 / Max: 2.55 Min: 2.35 / Avg: 2.38 / Max: 2.44 Min: 2.38 / Avg: 2.38 / Max: 2.39 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 7262 EPYC 7252 EPYC 7232P EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7F72 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 140K 280K 420K 560K 700K SE +/- 249.03, N = 3 SE +/- 336.86, N = 3 SE +/- 286.53, N = 3 SE +/- 410.57, N = 3 SE +/- 398.28, N = 3 SE +/- 860.38, N = 3 SE +/- 210.97, N = 3 SE +/- 760.44, N = 3 SE +/- 4015.34, N = 3 SE +/- 1172.74, N = 3 SE +/- 1307.57, N = 3 SE +/- 1376.11, N = 3 SE +/- 1326.84, N = 3 SE +/- 167.60, N = 3 SE +/- 4360.78, N = 3 SE +/- 855.42, N = 3 SE +/- 538.07, N = 3 SE +/- 1013.03, N = 3 SE +/- 1659.83, N = 3 SE +/- 612.15, N = 3 142856 144134 145057 161102 204685 263984 270875 294909 356698 398910 433630 435226 452444 454418 454581 480664 536335 562236 607575 633598 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 7262 EPYC 7252 EPYC 7232P EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7F72 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 110K 220K 330K 440K 550K 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 Min: 160460.54 / Avg: 161102.44 / Max: 161866.88 Min: 204217.79 / Avg: 204684.58 / Max: 205476.96 Min: 262374.62 / Avg: 263983.97 / Max: 265316.13 Min: 270580.77 / Avg: 270875.21 / Max: 271284.17 Min: 294099.18 / Avg: 294908.85 / Max: 296428.63 Min: 348813.87 / Avg: 356697.84 / Max: 361963.13 Min: 396826.2 / Avg: 398910.04 / Max: 400884.24 Min: 431757.16 / Avg: 433629.6 / Max: 436146.86 Min: 432870.8 / Avg: 435226.23 / Max: 437636.85 Min: 450197.59 / Avg: 452444.24 / Max: 454790.64 Min: 454144.33 / Avg: 454417.73 / Max: 454722.38 Min: 445915.12 / Avg: 454581.17 / Max: 459765.01 Min: 478981.64 / Avg: 480664.49 / Max: 481772.8 Min: 535427.04 / Avg: 536334.68 / Max: 537289.19 Min: 560347.38 / Avg: 562236.39 / Max: 563815.25 Min: 604567.98 / Avg: 607575.16 / Max: 610296.44 Min: 632438.66 / Avg: 633598.25 / Max: 634518.17 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7532 EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7662 3 6 9 12 15 SE +/- 0.004, N = 3 SE +/- 0.002, N = 3 SE +/- 0.008, N = 3 SE +/- 0.005, N = 3 SE +/- 0.005, N = 3 SE +/- 0.003, N = 3 SE +/- 0.004, N = 3 SE +/- 0.011, N = 3 SE +/- 0.010, N = 3 SE +/- 0.008, N = 3 SE +/- 0.019, N = 3 SE +/- 0.013, N = 3 SE +/- 0.036, N = 3 SE +/- 0.011, N = 3 SE +/- 0.007, N = 3 SE +/- 0.014, N = 3 SE +/- 0.010, N = 3 SE +/- 0.004, N = 3 SE +/- 0.032, N = 3 SE +/- 0.027, N = 3 2.124 2.256 2.343 2.578 3.422 4.482 4.589 5.089 5.991 6.826 7.099 7.549 7.641 7.828 8.031 8.374 8.690 8.884 9.237 9.418
Result Confidence
OpenBenchmarking.org M samples/s, More Is Better IndigoBench 4.0.64 Scene: Supercar EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7532 EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7662 3 6 9 12 15 Min: 2.12 / Avg: 2.12 / Max: 2.13 Min: 2.25 / Avg: 2.26 / Max: 2.26 Min: 2.33 / Avg: 2.34 / Max: 2.36 Min: 2.57 / Avg: 2.58 / Max: 2.59 Min: 3.42 / Avg: 3.42 / Max: 3.43 Min: 4.48 / Avg: 4.48 / Max: 4.49 Min: 4.58 / Avg: 4.59 / Max: 4.6 Min: 5.07 / Avg: 5.09 / Max: 5.11 Min: 5.98 / Avg: 5.99 / Max: 6.01 Min: 6.82 / Avg: 6.83 / Max: 6.84 Min: 7.08 / Avg: 7.1 / Max: 7.14 Min: 7.53 / Avg: 7.55 / Max: 7.57 Min: 7.59 / Avg: 7.64 / Max: 7.71 Min: 7.81 / Avg: 7.83 / Max: 7.85 Min: 8.02 / Avg: 8.03 / Max: 8.04 Min: 8.35 / Avg: 8.37 / Max: 8.39 Min: 8.67 / Avg: 8.69 / Max: 8.71 Min: 8.88 / Avg: 8.88 / Max: 8.89 Min: 9.18 / Avg: 9.24 / Max: 9.28 Min: 9.38 / Avg: 9.42 / Max: 9.47
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 7262 EPYC 7252 EPYC 7232P EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7F72 EPYC 7502P EPYC 7532 EPYC 7502 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 0.0788 0.1576 0.2364 0.3152 0.394 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 +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.002, 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 +/- 0.000, 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 0.350 0.347 0.345 0.311 0.244 0.190 0.185 0.170 0.140 0.125 0.116 0.115 0.111 0.110 0.110 0.104 0.093 0.089 0.082 0.079 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 7262 EPYC 7252 EPYC 7232P EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7F72 EPYC 7502P EPYC 7532 EPYC 7502 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 1 2 3 4 5 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 Min: 0.31 / Avg: 0.31 / Max: 0.31 Min: 0.24 / Avg: 0.24 / Max: 0.25 Min: 0.19 / Avg: 0.19 / Max: 0.19 Min: 0.18 / Avg: 0.18 / Max: 0.19 Min: 0.17 / Avg: 0.17 / Max: 0.17 Min: 0.14 / Avg: 0.14 / Max: 0.14 Min: 0.13 / Avg: 0.13 / Max: 0.13 Min: 0.12 / Avg: 0.12 / Max: 0.12 Min: 0.11 / 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: 0.11 / Avg: 0.11 / Max: 0.11 Min: 0.1 / Avg: 0.1 / Max: 0.1 Min: 0.09 / Avg: 0.09 / 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 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7F52 EPYC 7402P EPYC 7F72 EPYC 7532 EPYC 7452 EPYC 7502P EPYC 7502 EPYC 7702 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 50K 100K 150K 200K 250K SE +/- 136.62, N = 3 SE +/- 85.27, N = 3 SE +/- 235.23, N = 3 SE +/- 69.41, N = 3 SE +/- 38.16, N = 3 SE +/- 53.20, N = 3 SE +/- 29.76, N = 3 SE +/- 143.58, N = 3 SE +/- 152.59, N = 3 SE +/- 115.19, N = 3 SE +/- 199.04, N = 3 SE +/- 39.76, N = 3 SE +/- 113.63, N = 3 SE +/- 51.28, N = 3 SE +/- 101.90, N = 3 SE +/- 209.40, N = 3 SE +/- 47.46, N = 3 SE +/- 80.59, N = 3 SE +/- 79.18, N = 3 SE +/- 79.43, N = 3 253065.0 243111.0 239371.0 207979.0 177799.0 128772.0 124126.0 109217.0 106967.0 93759.8 89145.6 82550.0 81778.7 75779.3 75772.2 75223.6 71361.3 70232.8 66999.3 57128.8
Result Confidence
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: SqueezeNet EPYC 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7F52 EPYC 7402P EPYC 7F72 EPYC 7532 EPYC 7452 EPYC 7502P EPYC 7502 EPYC 7702 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 40K 80K 120K 160K 200K Min: 252796 / Avg: 253065 / Max: 253241 Min: 242947 / Avg: 243110.67 / Max: 243234 Min: 239073 / Avg: 239370.67 / Max: 239835 Min: 207886 / Avg: 207979.33 / Max: 208115 Min: 177735 / Avg: 177799 / Max: 177867 Min: 128683 / Avg: 128772 / Max: 128867 Min: 124076 / Avg: 124126.33 / Max: 124179 Min: 108943 / Avg: 109217.33 / Max: 109428 Min: 106761 / Avg: 106967 / Max: 107265 Min: 93529.5 / Avg: 93759.83 / Max: 93879.1 Min: 88842 / Avg: 89145.63 / Max: 89520.4 Min: 82487 / Avg: 82549.97 / Max: 82623.5 Min: 81590.6 / Avg: 81778.7 / Max: 81983.2 Min: 75682.8 / Avg: 75779.33 / Max: 75857.6 Min: 75583.9 / Avg: 75772.17 / Max: 75933.9 Min: 74900.1 / Avg: 75223.6 / Max: 75615.7 Min: 71268.1 / Avg: 71361.3 / Max: 71423.5 Min: 70145.6 / Avg: 70232.8 / Max: 70393.8 Min: 66887.1 / Avg: 66999.33 / Max: 67152.2 Min: 56971.7 / Avg: 57128.77 / Max: 57227.9
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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 4K 8K 12K 16K 20K SE +/- 36.64, N = 3 SE +/- 8.48, N = 3 SE +/- 9.64, N = 3 SE +/- 49.91, N = 3 SE +/- 113.89, N = 3 SE +/- 6.33, N = 3 SE +/- 33.67, N = 3 SE +/- 53.13, N = 3 SE +/- 150.74, N = 3 SE +/- 24.57, N = 3 SE +/- 1.50, N = 3 SE +/- 30.42, N = 3 SE +/- 175.10, N = 3 SE +/- 36.22, N = 3 SE +/- 28.81, N = 3 SE +/- 27.89, N = 3 SE +/- 130.50, N = 3 SE +/- 99.71, N = 3 SE +/- 99.95, N = 3 SE +/- 20.23, N = 3 4400.48 4485.46 4698.64 5244.21 6799.13 8104.19 8429.01 9368.26 11202.38 12003.26 12692.91 13412.97 14049.76 14442.21 14448.04 15411.07 17296.84 18133.98 19039.37 19463.86 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 3K 6K 9K 12K 15K Min: 4356.82 / Avg: 4400.48 / Max: 4473.28 Min: 4470.63 / Avg: 4485.46 / Max: 4499.99 Min: 4682.49 / Avg: 4698.64 / Max: 4715.82 Min: 5145.21 / Avg: 5244.21 / Max: 5304.74 Min: 6585.28 / Avg: 6799.13 / Max: 6973.97 Min: 8091.91 / Avg: 8104.19 / Max: 8112.97 Min: 8367.15 / Avg: 8429.01 / Max: 8482.97 Min: 9270.87 / Avg: 9368.26 / Max: 9453.78 Min: 10906.58 / Avg: 11202.38 / Max: 11400.71 Min: 11955.06 / Avg: 12003.26 / Max: 12035.6 Min: 12689.93 / Avg: 12692.91 / Max: 12694.72 Min: 13355.04 / Avg: 13412.97 / Max: 13458.06 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: 15360.66 / Avg: 15411.07 / Max: 15456.97 Min: 17069.15 / Avg: 17296.84 / Max: 17521.19 Min: 17935.45 / Avg: 18133.98 / Max: 18249.55 Min: 18849.83 / Avg: 19039.37 / Max: 19189.15 Min: 19434.91 / Avg: 19463.86 / Max: 19502.82 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 7262 EPYC 7252 EPYC 7232P EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7F72 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 140K 280K 420K 560K 700K SE +/- 365.30, N = 3 SE +/- 59.09, N = 3 SE +/- 149.15, N = 3 SE +/- 355.78, N = 3 SE +/- 495.78, N = 3 SE +/- 188.91, N = 3 SE +/- 1102.05, N = 3 SE +/- 4054.87, N = 3 SE +/- 1476.34, N = 3 SE +/- 737.75, N = 3 SE +/- 2589.99, N = 3 SE +/- 3216.95, N = 3 SE +/- 2498.86, N = 3 SE +/- 918.89, N = 3 SE +/- 2525.65, N = 3 SE +/- 4023.11, N = 3 SE +/- 1435.30, N = 3 SE +/- 8591.53, N = 3 SE +/- 1696.19, N = 3 SE +/- 3697.32, N = 3 149789 150038 150981 169779 212371 275173 283189 309222 375491 422751 448194 461915 473689 476054 479309 496135 561006 584324 627200 662148 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 7262 EPYC 7252 EPYC 7232P EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7F72 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 110K 220K 330K 440K 550K 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 Min: 169162.65 / Avg: 169778.88 / Max: 170395.1 Min: 211623.16 / Avg: 212371.49 / Max: 213309.04 Min: 274874.9 / Avg: 275173.32 / Max: 275523.21 Min: 281583.18 / Avg: 283188.99 / Max: 285299.4 Min: 301122.23 / Avg: 309222.34 / Max: 313614.47 Min: 373949.43 / Avg: 375491.2 / Max: 378442.89 Min: 421326.32 / Avg: 422751.18 / Max: 423795.51 Min: 443042.26 / Avg: 448194.42 / Max: 451234.84 Min: 455559.41 / Avg: 461914.86 / Max: 465960.07 Min: 468862.37 / Avg: 473688.87 / Max: 477225.34 Min: 474618.02 / Avg: 476053.91 / Max: 477765.2 Min: 475531.25 / Avg: 479308.72 / Max: 484101.72 Min: 488299.95 / Avg: 496135.11 / Max: 501638.24 Min: 558840.46 / Avg: 561005.84 / Max: 563720.58 Min: 567149.65 / Avg: 584324.1 / Max: 593382.73 Min: 625341.73 / Avg: 627200.25 / Max: 630587.26 Min: 655584.32 / Avg: 662147.98 / Max: 668379.25 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7452 EPYC 7352 EPYC 7502P EPYC 7532 EPYC 7502 EPYC 7542 EPYC 7402P EPYC 7F72 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 200K 400K 600K 800K 1000K SE +/- 609.77, N = 3 SE +/- 751.04, N = 3 SE +/- 266.25, N = 3 SE +/- 760.23, N = 3 SE +/- 1323.33, N = 3 SE +/- 3586.19, N = 3 SE +/- 412.90, N = 3 SE +/- 5158.94, N = 4 SE +/- 1722.05, N = 3 SE +/- 1956.29, N = 3 SE +/- 2812.71, N = 3 SE +/- 5976.20, N = 3 SE +/- 4110.48, N = 3 SE +/- 3763.31, N = 3 SE +/- 634.95, N = 3 SE +/- 5262.76, N = 3 SE +/- 774.72, N = 3 SE +/- 4606.47, N = 3 SE +/- 2327.18, N = 3 SE +/- 4185.25, N = 3 178695 180148 183458 210214 257573 336368 345027 394967 481548 500818 506342 508910 510664 537605 582296 634561 656678 701580 757534 785917 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7452 EPYC 7352 EPYC 7502P EPYC 7532 EPYC 7502 EPYC 7542 EPYC 7402P EPYC 7F72 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 140K 280K 420K 560K 700K Min: 177644.71 / Avg: 178695.44 / Max: 179756.92 Min: 178655.05 / Avg: 180147.65 / Max: 181039.86 Min: 183091.48 / Avg: 183458.35 / Max: 183976.04 Min: 208973.57 / Avg: 210214.04 / Max: 211595.71 Min: 256160.28 / Avg: 257573.06 / Max: 260217.66 Min: 329201.77 / Avg: 336367.81 / Max: 340212.2 Min: 344295.55 / Avg: 345027.02 / Max: 345724.67 Min: 385982.64 / Avg: 394967.22 / Max: 408822.68 Min: 478206.73 / Avg: 481547.66 / Max: 483942.66 Min: 497670.11 / Avg: 500818.18 / Max: 504404.28 Min: 500795.59 / Avg: 506341.5 / Max: 509930.62 Min: 502276.92 / Avg: 508909.53 / Max: 520836.94 Min: 505127.29 / Avg: 510664.49 / Max: 518695.49 Min: 533339.97 / Avg: 537605.07 / Max: 545108.31 Min: 581229 / Avg: 582296.11 / Max: 583425.84 Min: 624142.08 / Avg: 634561 / Max: 641064.42 Min: 655132.62 / Avg: 656678.07 / Max: 657547.1 Min: 696000.94 / Avg: 701579.61 / Max: 710718.54 Min: 753723.52 / Avg: 757534.07 / Max: 761753.9 Min: 780235.38 / Avg: 785916.8 / Max: 794081.04 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 7262 EPYC 7252 EPYC 7232P EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7F72 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 0.0752 0.1504 0.2256 0.3008 0.376 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 +/- 0.002, 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 +/- 0.001, 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 0.334 0.333 0.331 0.295 0.235 0.182 0.177 0.162 0.133 0.118 0.112 0.108 0.106 0.105 0.104 0.101 0.089 0.085 0.080 0.076 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 7262 EPYC 7252 EPYC 7232P EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7F72 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 1 2 3 4 5 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 Min: 0.29 / Avg: 0.29 / Max: 0.3 Min: 0.23 / Avg: 0.24 / Max: 0.24 Min: 0.18 / Avg: 0.18 / Max: 0.18 Min: 0.18 / Avg: 0.18 / Max: 0.18 Min: 0.16 / Avg: 0.16 / Max: 0.17 Min: 0.13 / Avg: 0.13 / Max: 0.13 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: 0.11 / Avg: 0.11 / Max: 0.11 Min: 0.11 / Avg: 0.11 / Max: 0.11 Min: 0.1 / Avg: 0.1 / Max: 0.11 Min: 0.1 / Avg: 0.1 / Max: 0.1 Min: 0.09 / Avg: 0.09 / Max: 0.09 Min: 0.08 / Avg: 0.09 / Max: 0.09 Min: 0.08 / Avg: 0.08 / Max: 0.08 Min: 0.08 / Avg: 0.08 / Max: 0.08 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 7252 EPYC 7232P EPYC 7272 EPYC 7282 EPYC 7262 EPYC 7F32 EPYC 7352 EPYC 7542 EPYC 7452 EPYC 7302P EPYC 7402P EPYC 7502 EPYC 7502P EPYC 7702 EPYC 7662 EPYC 7F52 EPYC 7552 EPYC 7F72 EPYC 7532 EPYC 7642 2 4 6 8 10 SE +/- 0.04427, N = 3 SE +/- 0.04339, N = 3 SE +/- 0.03491, N = 3 SE +/- 0.04343, N = 3 SE +/- 0.00819, N = 3 SE +/- 0.04864, N = 8 SE +/- 0.03746, N = 3 SE +/- 0.00481, N = 3 SE +/- 0.01735, N = 3 SE +/- 0.02456, N = 3 SE +/- 0.04479, N = 3 SE +/- 0.03266, N = 3 SE +/- 0.00219, N = 3 SE +/- 0.03138, N = 3 SE +/- 0.02396, N = 15 SE +/- 0.01584, N = 3 SE +/- 0.03050, N = 3 SE +/- 0.01454, N = 3 SE +/- 0.00908, N = 3 SE +/- 0.00537, N = 3 6.63195 6.55394 6.24150 6.11090 4.93430 4.60199 3.30438 3.22663 3.16025 2.96405 2.96037 2.86349 2.82606 2.71121 2.26438 2.16598 2.14490 2.04409 1.95077 1.51546 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 7252 EPYC 7232P EPYC 7272 EPYC 7282 EPYC 7262 EPYC 7F32 EPYC 7352 EPYC 7542 EPYC 7452 EPYC 7302P EPYC 7402P EPYC 7502 EPYC 7502P EPYC 7702 EPYC 7662 EPYC 7F52 EPYC 7552 EPYC 7F72 EPYC 7532 EPYC 7642 3 6 9 12 15 Min: 6.57 / Avg: 6.63 / Max: 6.72 Min: 6.47 / Avg: 6.55 / Max: 6.61 Min: 6.17 / Avg: 6.24 / Max: 6.28 Min: 6.02 / Avg: 6.11 / Max: 6.16 Min: 4.92 / Avg: 4.93 / Max: 4.95 Min: 4.49 / Avg: 4.6 / Max: 4.92 Min: 3.26 / Avg: 3.3 / Max: 3.38 Min: 3.22 / Avg: 3.23 / Max: 3.23 Min: 3.13 / Avg: 3.16 / Max: 3.18 Min: 2.94 / Avg: 2.96 / Max: 3.01 Min: 2.89 / Avg: 2.96 / Max: 3.04 Min: 2.8 / Avg: 2.86 / Max: 2.91 Min: 2.82 / Avg: 2.83 / Max: 2.83 Min: 2.65 / Avg: 2.71 / Max: 2.75 Min: 2.1 / Avg: 2.26 / Max: 2.37 Min: 2.14 / Avg: 2.17 / Max: 2.2 Min: 2.09 / Avg: 2.14 / Max: 2.19 Min: 2.02 / Avg: 2.04 / Max: 2.06 Min: 1.94 / Avg: 1.95 / Max: 1.97 Min: 1.51 / Avg: 1.52 / Max: 1.53 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7452 EPYC 7352 EPYC 7502P EPYC 7532 EPYC 7502 EPYC 7542 EPYC 7402P EPYC 7F72 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 0.063 0.126 0.189 0.252 0.315 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 +/- 0.002, N = 3 SE +/- 0.000, N = 3 SE +/- 0.002, N = 4 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 +/- 0.000, 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 0.280 0.278 0.273 0.238 0.194 0.149 0.145 0.127 0.104 0.100 0.099 0.098 0.098 0.093 0.086 0.079 0.076 0.071 0.066 0.064 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7452 EPYC 7352 EPYC 7502P EPYC 7532 EPYC 7502 EPYC 7542 EPYC 7402P EPYC 7F72 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 1 2 3 4 5 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: 0.27 Min: 0.24 / Avg: 0.24 / Max: 0.24 Min: 0.19 / Avg: 0.19 / Max: 0.2 Min: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.12 / Avg: 0.13 / Max: 0.13 Min: 0.1 / Avg: 0.1 / Max: 0.11 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: 0.1 Min: 0.09 / Avg: 0.09 / 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: 0.07 / Avg: 0.07 / Max: 0.07 Min: 0.07 / Avg: 0.07 / Max: 0.07 Min: 0.06 / Avg: 0.06 / Max: 0.06 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7F72 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 7 14 21 28 35 SE +/- 0.09439, N = 3 SE +/- 0.10006, N = 3 SE +/- 0.01830, N = 3 SE +/- 0.03995, N = 3 SE +/- 0.04039, N = 3 SE +/- 0.08758, N = 3 SE +/- 0.05246, N = 3 SE +/- 0.04779, N = 3 SE +/- 0.05632, N = 3 SE +/- 0.01654, N = 3 SE +/- 0.04417, N = 3 SE +/- 0.01623, N = 3 SE +/- 0.01212, N = 3 SE +/- 0.02817, N = 3 SE +/- 0.02559, N = 3 SE +/- 0.01406, N = 3 SE +/- 0.02805, N = 3 SE +/- 0.03439, N = 3 SE +/- 0.01530, N = 3 SE +/- 0.04381, N = 3 30.85730 30.83500 28.66640 25.10930 20.34490 16.48410 15.38170 13.05300 13.04390 11.35090 10.53010 10.31610 10.06000 9.74450 9.69987 9.15479 8.12129 8.01491 7.06818 7.05688 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7F72 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 7 14 21 28 35 Min: 30.69 / Avg: 30.86 / Max: 31.02 Min: 30.64 / Avg: 30.84 / Max: 30.97 Min: 28.63 / Avg: 28.67 / Max: 28.7 Min: 25.04 / Avg: 25.11 / Max: 25.18 Min: 20.27 / Avg: 20.34 / Max: 20.41 Min: 16.35 / Avg: 16.48 / Max: 16.65 Min: 15.31 / Avg: 15.38 / Max: 15.48 Min: 12.98 / Avg: 13.05 / Max: 13.14 Min: 12.95 / Avg: 13.04 / Max: 13.14 Min: 11.33 / Avg: 11.35 / Max: 11.38 Min: 10.44 / Avg: 10.53 / Max: 10.58 Min: 10.3 / Avg: 10.32 / Max: 10.35 Min: 10.05 / Avg: 10.06 / Max: 10.08 Min: 9.69 / Avg: 9.74 / Max: 9.79 Min: 9.66 / Avg: 9.7 / Max: 9.75 Min: 9.13 / Avg: 9.15 / Max: 9.17 Min: 8.09 / Avg: 8.12 / Max: 8.18 Min: 7.96 / Avg: 8.01 / Max: 8.08 Min: 7.04 / Avg: 7.07 / Max: 7.09 Min: 7 / Avg: 7.06 / Max: 7.14 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7452 EPYC 7402P EPYC 7F72 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7702 EPYC 7662 EPYC 7642 600K 1200K 1800K 2400K 3000K SE +/- 7205.27, N = 5 SE +/- 2452.18, N = 3 SE +/- 6265.32, N = 3 SE +/- 5978.53, N = 3 SE +/- 4551.15, N = 3 SE +/- 6805.34, N = 3 SE +/- 11715.02, N = 3 SE +/- 6477.91, N = 3 SE +/- 10570.43, N = 3 SE +/- 15859.94, N = 15 SE +/- 18509.29, N = 3 SE +/- 16169.26, N = 11 SE +/- 16618.43, N = 3 SE +/- 2330.00, N = 3 SE +/- 17880.35, N = 3 SE +/- 22468.40, N = 3 SE +/- 25647.54, N = 15 SE +/- 21024.79, N = 13 SE +/- 39160.90, N = 3 SE +/- 39699.95, N = 3 610628 631618 644878 762256 868519 986225 1193703 1470326 1482377 1656161 1686640 1822559 1839236 1897261 1948887 2071664 2328453 2571578 2591791 2657818 1. (CC) gcc options: -pthread -lpthread -O3 -march=native
Result Confidence
OpenBenchmarking.org Records/s, More Is Better ebizzy 0.3 EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7452 EPYC 7402P EPYC 7F72 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7702 EPYC 7662 EPYC 7642 500K 1000K 1500K 2000K 2500K Min: 592286 / Avg: 610627.6 / Max: 636440 Min: 626851 / Avg: 631618.33 / Max: 634999 Min: 632353 / Avg: 644877.67 / Max: 651475 Min: 753807 / Avg: 762256.33 / Max: 773808 Min: 859551 / Avg: 868519.33 / Max: 874351 Min: 976561 / Avg: 986224.67 / Max: 999357 Min: 1172032 / Avg: 1193703.33 / Max: 1212252 Min: 1458373 / Avg: 1470325.67 / Max: 1480631 Min: 1461250 / Avg: 1482377.33 / Max: 1493596 Min: 1522253 / Avg: 1656161.2 / Max: 1737769 Min: 1652517 / Avg: 1686640.33 / Max: 1716131 Min: 1719018 / Avg: 1822558.64 / Max: 1893316 Min: 1806283 / Avg: 1839235.67 / Max: 1859468 Min: 1892618 / Avg: 1897261.33 / Max: 1899924 Min: 1923349 / Avg: 1948887 / Max: 1983335 Min: 2041862 / Avg: 2071664.33 / Max: 2115692 Min: 2175791 / Avg: 2328453 / Max: 2490030 Min: 2423539 / Avg: 2571578.46 / Max: 2689288 Min: 2516831 / Avg: 2591791 / Max: 2648930 Min: 2583950 / Avg: 2657818 / Max: 2719969 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7F52 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7702 EPYC 7502 EPYC 7502P EPYC 7552 EPYC 7642 EPYC 7542 EPYC 7662 700K 1400K 2100K 2800K 3500K SE +/- 2626.99, N = 3 SE +/- 1495.89, N = 3 SE +/- 1631.66, N = 3 SE +/- 1334.67, N = 3 SE +/- 519.05, N = 3 SE +/- 624.08, N = 3 SE +/- 380.19, N = 3 SE +/- 961.47, N = 3 SE +/- 1498.01, N = 3 SE +/- 2523.85, N = 3 SE +/- 457.38, N = 3 SE +/- 447.85, N = 3 SE +/- 309.31, N = 3 SE +/- 3448.59, N = 3 SE +/- 303.13, N = 3 SE +/- 654.96, N = 3 SE +/- 2633.01, N = 3 SE +/- 1127.21, N = 3 SE +/- 1189.21, N = 3 SE +/- 10740.36, N = 3 3312693 3147143 3131150 2717393 2276043 1635677 1572953 1457950 1346997 1242963 1171270 979887 973193 939492 907005 906002 892001 851940 850424 768962
Result Confidence
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Inception ResNet V2 EPYC 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7F52 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7702 EPYC 7502 EPYC 7502P EPYC 7552 EPYC 7642 EPYC 7542 EPYC 7662 600K 1200K 1800K 2400K 3000K Min: 3309830 / Avg: 3312693.33 / Max: 3317940 Min: 3144340 / Avg: 3147143.33 / Max: 3149450 Min: 3128620 / Avg: 3131150 / Max: 3134200 Min: 2714830 / Avg: 2717393.33 / Max: 2719320 Min: 2275080 / Avg: 2276043.33 / Max: 2276860 Min: 1634960 / Avg: 1635676.67 / Max: 1636920 Min: 1572510 / Avg: 1572953.33 / Max: 1573710 Min: 1456070 / Avg: 1457950 / Max: 1459240 Min: 1344170 / Avg: 1346996.67 / Max: 1349270 Min: 1238220 / Avg: 1242963.33 / Max: 1246830 Min: 1170570 / Avg: 1171270 / Max: 1172130 Min: 979151 / Avg: 979886.67 / Max: 980697 Min: 972776 / Avg: 973192.67 / Max: 973797 Min: 932634 / Avg: 939491.67 / Max: 943559 Min: 906549 / Avg: 907005 / Max: 907579 Min: 905180 / Avg: 906001.67 / Max: 907296 Min: 889315 / Avg: 892001.33 / Max: 897267 Min: 850031 / Avg: 851939.67 / Max: 853933 Min: 848503 / Avg: 850424 / Max: 852599 Min: 748326 / Avg: 768961.67 / Max: 784446
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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7F52 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7532 EPYC 7542 EPYC 7F72 EPYC 7502P EPYC 7702 EPYC 7552 EPYC 7662 EPYC 7642 10 20 30 40 50 SE +/- 0.08, N = 3 SE +/- 0.13, N = 3 SE +/- 0.53, N = 3 SE +/- 0.18, N = 3 SE +/- 0.18, N = 3 SE +/- 0.23, N = 9 SE +/- 0.04, N = 3 SE +/- 0.08, N = 3 SE +/- 0.01, N = 3 SE +/- 0.11, N = 3 SE +/- 0.26, N = 3 SE +/- 0.06, N = 3 SE +/- 0.08, N = 3 SE +/- 0.13, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.09, N = 3 SE +/- 0.16, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 44.90 44.18 40.63 37.26 31.18 24.06 21.73 19.10 18.38 16.39 15.53 13.63 13.44 13.30 13.27 13.00 12.20 11.68 11.27 10.49 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7F52 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7532 EPYC 7542 EPYC 7F72 EPYC 7502P EPYC 7702 EPYC 7552 EPYC 7662 EPYC 7642 9 18 27 36 45 Min: 44.78 / Avg: 44.9 / Max: 45.05 Min: 44.03 / Avg: 44.18 / Max: 44.44 Min: 39.58 / Avg: 40.63 / Max: 41.24 Min: 37.07 / Avg: 37.26 / Max: 37.62 Min: 30.87 / Avg: 31.18 / Max: 31.49 Min: 23.34 / Avg: 24.06 / Max: 25.71 Min: 21.66 / Avg: 21.73 / Max: 21.78 Min: 19.01 / Avg: 19.1 / Max: 19.25 Min: 18.37 / Avg: 18.38 / Max: 18.39 Min: 16.18 / Avg: 16.39 / Max: 16.58 Min: 15.06 / Avg: 15.53 / Max: 15.94 Min: 13.55 / Avg: 13.63 / Max: 13.74 Min: 13.3 / Avg: 13.44 / Max: 13.57 Min: 13.11 / Avg: 13.3 / Max: 13.55 Min: 13.22 / Avg: 13.27 / Max: 13.33 Min: 12.92 / Avg: 13 / Max: 13.06 Min: 12.02 / Avg: 12.2 / Max: 12.33 Min: 11.37 / Avg: 11.68 / Max: 11.86 Min: 11.23 / Avg: 11.27 / Max: 11.32 Min: 10.41 / Avg: 10.49 / Max: 10.54 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7F72 EPYC 7532 EPYC 7502 EPYC 7542 EPYC 7502P EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 400 800 1200 1600 2000 SE +/- 0.58, N = 3 SE +/- 0.67, N = 3 SE +/- 1.00, N = 3 SE +/- 0.33, N = 3 SE +/- 1.00, N = 3 SE +/- 2.08, N = 3 SE +/- 1.53, N = 3 SE +/- 1.20, N = 3 SE +/- 4.58, N = 3 SE +/- 1.20, N = 3 SE +/- 2.08, N = 3 SE +/- 0.33, N = 3 SE +/- 1.86, N = 3 SE +/- 1.33, N = 3 SE +/- 2.65, N = 3 SE +/- 1.76, N = 3 SE +/- 2.03, N = 3 391 406 431 480 577 724 796 898 909 1024 1127 1129 1165 1195 1246 1268 1442 1525 1622 1666 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7F72 EPYC 7532 EPYC 7502 EPYC 7542 EPYC 7502P EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 300 600 900 1200 1500 Min: 390 / Avg: 391 / Max: 392 Min: 405 / Avg: 405.67 / Max: 407 Min: 478 / Avg: 480 / Max: 481 Min: 723 / Avg: 723.67 / Max: 724 Min: 794 / Avg: 796 / Max: 797 Min: 894 / Avg: 898 / Max: 901 Min: 906 / Avg: 909 / Max: 911 Min: 1022 / Avg: 1024.33 / Max: 1026 Min: 1123 / Avg: 1129 / Max: 1138 Min: 1163 / Avg: 1164.67 / Max: 1167 Min: 1191 / Avg: 1195 / Max: 1198 Min: 1246 / Avg: 1246.33 / Max: 1247 Min: 1264 / Avg: 1267.67 / Max: 1270 Min: 1441 / Avg: 1442.33 / Max: 1445 Min: 1520 / Avg: 1525 / Max: 1529 Min: 1619 / Avg: 1621.67 / Max: 1625 Min: 1662 / Avg: 1665.67 / Max: 1669 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7662 60 120 180 240 300 295.86 287.40 287.34 235.47 209.48 165.05 160.86 131.51 128.78 113.46 100.63 99.78 97.10 95.20 92.64 87.90 76.22 75.77 71.67 71.65
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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7352 EPYC 7302P EPYC 7702 EPYC 7402P EPYC 7F52 EPYC 7532 EPYC 7452 EPYC 7552 EPYC 7502 EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7642 EPYC 7542 2 4 6 8 10 SE +/- 0.05423, N = 3 SE +/- 0.03858, N = 3 SE +/- 0.01003, N = 3 SE +/- 0.22388, N = 15 SE +/- 0.06965, N = 3 SE +/- 0.02067, N = 3 SE +/- 0.06679, N = 15 SE +/- 0.04327, N = 3 SE +/- 0.01714, N = 3 SE +/- 0.04434, N = 15 SE +/- 0.00914, N = 3 SE +/- 0.02569, N = 3 SE +/- 0.00870, N = 3 SE +/- 0.02668, N = 4 SE +/- 0.00959, N = 3 SE +/- 0.00245, N = 3 SE +/- 0.01261, N = 3 SE +/- 0.02420, N = 3 SE +/- 0.02366, N = 15 SE +/- 0.02667, N = 4 7.79600 5.87119 5.13825 4.81372 4.77168 3.14991 2.99977 2.97425 2.55843 2.47190 2.43553 2.25891 2.10673 2.02785 2.01176 1.99454 1.96299 1.95935 1.92590 1.89386 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7352 EPYC 7302P EPYC 7702 EPYC 7402P EPYC 7F52 EPYC 7532 EPYC 7452 EPYC 7552 EPYC 7502 EPYC 7F72 EPYC 7502P EPYC 7662 EPYC 7642 EPYC 7542 3 6 9 12 15 Min: 7.71 / Avg: 7.8 / Max: 7.9 Min: 5.82 / Avg: 5.87 / Max: 5.95 Min: 5.12 / Avg: 5.14 / Max: 5.16 Min: 4.51 / Avg: 4.81 / Max: 7.94 Min: 4.67 / Avg: 4.77 / Max: 4.9 Min: 3.11 / Avg: 3.15 / Max: 3.18 Min: 2.71 / Avg: 3 / Max: 3.68 Min: 2.89 / Avg: 2.97 / Max: 3.04 Min: 2.53 / Avg: 2.56 / Max: 2.58 Min: 2.23 / Avg: 2.47 / Max: 2.82 Min: 2.42 / Avg: 2.44 / Max: 2.45 Min: 2.22 / Avg: 2.26 / Max: 2.31 Min: 2.09 / Avg: 2.11 / Max: 2.12 Min: 1.97 / Avg: 2.03 / Max: 2.09 Min: 1.99 / Avg: 2.01 / Max: 2.03 Min: 1.99 / Avg: 1.99 / Max: 2 Min: 1.95 / Avg: 1.96 / Max: 1.99 Min: 1.91 / Avg: 1.96 / Max: 1.99 Min: 1.79 / Avg: 1.93 / Max: 2.13 Min: 1.85 / Avg: 1.89 / Max: 1.96 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7F52 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7702 EPYC 7552 EPYC 7502 EPYC 7502P EPYC 7642 EPYC 7542 EPYC 7662 800K 1600K 2400K 3200K 4000K SE +/- 1653.42, N = 3 SE +/- 180.03, N = 3 SE +/- 1815.08, N = 3 SE +/- 1214.14, N = 3 SE +/- 565.25, N = 3 SE +/- 927.26, N = 3 SE +/- 430.56, N = 3 SE +/- 1422.61, N = 3 SE +/- 1977.94, N = 3 SE +/- 3534.54, N = 3 SE +/- 2472.71, N = 3 SE +/- 506.19, N = 3 SE +/- 1597.95, N = 3 SE +/- 2152.71, N = 3 SE +/- 1492.34, N = 3 SE +/- 641.33, N = 3 SE +/- 265.85, N = 3 SE +/- 796.92, N = 3 SE +/- 1095.28, N = 3 SE +/- 10849.29, N = 3 3658017 3482543 3449200 2991340 2541097 1818303 1751103 1651693 1500570 1434267 1331757 1098850 1096420 1034893 1032227 1018660 1017473 974709 956334 901115
Result Confidence
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Inception V4 EPYC 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7F52 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7702 EPYC 7552 EPYC 7502 EPYC 7502P EPYC 7642 EPYC 7542 EPYC 7662 600K 1200K 1800K 2400K 3000K Min: 3655440 / Avg: 3658016.67 / Max: 3661100 Min: 3482190 / Avg: 3482543.33 / Max: 3482780 Min: 3446240 / Avg: 3449200 / Max: 3452500 Min: 2989820 / Avg: 2991340 / Max: 2993740 Min: 2539990 / Avg: 2541096.67 / Max: 2541850 Min: 1816530 / Avg: 1818303.33 / Max: 1819660 Min: 1750250 / Avg: 1751103.33 / Max: 1751630 Min: 1648870 / Avg: 1651693.33 / Max: 1653410 Min: 1496910 / Avg: 1500570 / Max: 1503700 Min: 1428600 / Avg: 1434266.67 / Max: 1440760 Min: 1328690 / Avg: 1331756.67 / Max: 1336650 Min: 1098140 / Avg: 1098850 / Max: 1099830 Min: 1093440 / Avg: 1096420 / Max: 1098910 Min: 1030910 / Avg: 1034893.33 / Max: 1038300 Min: 1029410 / Avg: 1032226.67 / Max: 1034490 Min: 1017430 / Avg: 1018660 / Max: 1019590 Min: 1016960 / Avg: 1017473.33 / Max: 1017850 Min: 973240 / Avg: 974709 / Max: 975979 Min: 954214 / Avg: 956334.33 / Max: 957871 Min: 883545 / Avg: 901115.33 / Max: 920927
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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7452 EPYC 7402P EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7F72 EPYC 7702 EPYC 7552 EPYC 7662 EPYC 7642 300K 600K 900K 1200K 1500K SE +/- 236.56, N = 3 SE +/- 309.16, N = 3 SE +/- 326.66, N = 3 SE +/- 254.64, N = 3 SE +/- 946.65, N = 3 SE +/- 430.91, N = 3 SE +/- 3058.86, N = 3 SE +/- 518.02, N = 3 SE +/- 1079.01, N = 3 SE +/- 5097.39, N = 3 SE +/- 4296.32, N = 3 SE +/- 10861.25, N = 3 SE +/- 3413.67, N = 3 SE +/- 1516.40, N = 3 SE +/- 5237.13, N = 3 SE +/- 5088.42, N = 3 SE +/- 2361.14, N = 3 SE +/- 1097.23, N = 3 SE +/- 315.40, N = 3 SE +/- 913.29, N = 3 295421.35 298347.30 312587.17 359429.77 439772.58 582430.67 609406.36 709203.15 798236.46 881494.06 890248.99 908073.32 934407.24 943555.64 952974.53 989555.86 1146666.31 1171853.21 1177095.85 1188218.25 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7452 EPYC 7402P EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7F72 EPYC 7702 EPYC 7552 EPYC 7662 EPYC 7642 200K 400K 600K 800K 1000K Min: 295184.8 / Avg: 295421.35 / Max: 295894.46 Min: 297808.32 / Avg: 298347.3 / Max: 298879.2 Min: 312184.97 / Avg: 312587.17 / Max: 313234.14 Min: 359120.16 / Avg: 359429.77 / Max: 359934.76 Min: 438746.83 / Avg: 439772.58 / Max: 441663.6 Min: 581641.93 / Avg: 582430.67 / Max: 583125.8 Min: 603299.29 / Avg: 609406.36 / Max: 612772.48 Min: 708199.62 / Avg: 709203.15 / Max: 709927.9 Min: 796085.91 / Avg: 798236.46 / Max: 799467.02 Min: 871341.05 / Avg: 881494.06 / Max: 887368.86 Min: 885649.71 / Avg: 890248.99 / Max: 898834.32 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: 942516.32 / Avg: 952974.53 / Max: 958705.75 Min: 982197.67 / Avg: 989555.86 / Max: 999323.37 Min: 1142381.15 / Avg: 1146666.31 / Max: 1150527.33 Min: 1169875.7 / Avg: 1171853.21 / Max: 1173665.87 Min: 1176470.59 / Avg: 1177095.85 / Max: 1177480.68 Min: 1186870.25 / Avg: 1188218.25 / Max: 1189959.71 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 7252 EPYC 7262 EPYC 7232P EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7F72 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7662 40 80 120 160 200 SE +/- 0.16, N = 3 SE +/- 0.04, N = 3 SE +/- 0.19, N = 3 SE +/- 0.03, N = 3 SE +/- 0.14, N = 3 SE +/- 0.21, N = 3 SE +/- 0.23, N = 3 SE +/- 0.17, N = 3 SE +/- 0.49, N = 3 SE +/- 0.91, N = 3 SE +/- 0.69, N = 3 SE +/- 0.13, N = 3 SE +/- 0.98, N = 3 SE +/- 0.47, N = 3 SE +/- 1.24, N = 3 SE +/- 0.63, N = 3 SE +/- 1.41, N = 3 SE +/- 0.93, N = 3 SE +/- 0.98, N = 3 SE +/- 0.30, N = 3 41.74 41.90 42.34 47.91 60.67 77.11 80.26 86.52 98.40 113.54 122.18 122.40 123.86 131.25 132.93 141.01 159.13 161.14 161.96 166.89 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 7252 EPYC 7262 EPYC 7232P EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7F72 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7662 30 60 90 120 150 Min: 41.42 / Avg: 41.74 / Max: 41.96 Min: 41.84 / Avg: 41.9 / Max: 41.97 Min: 41.96 / Avg: 42.34 / Max: 42.54 Min: 47.87 / Avg: 47.91 / Max: 47.98 Min: 60.39 / Avg: 60.67 / Max: 60.84 Min: 76.7 / Avg: 77.11 / Max: 77.39 Min: 80.02 / Avg: 80.26 / Max: 80.71 Min: 86.33 / Avg: 86.52 / Max: 86.86 Min: 97.42 / Avg: 98.4 / Max: 98.98 Min: 111.79 / Avg: 113.54 / Max: 114.83 Min: 120.87 / Avg: 122.18 / Max: 123.2 Min: 122.15 / Avg: 122.4 / Max: 122.57 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: 139.76 / Avg: 141.01 / Max: 141.74 Min: 157.52 / Avg: 159.13 / Max: 161.94 Min: 159.28 / Avg: 161.14 / Max: 162.21 Min: 160.26 / Avg: 161.96 / Max: 163.67 Min: 166.3 / Avg: 166.89 / Max: 167.32 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 20 40 60 80 100 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, 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 +/- 0.01, 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 +/- 0.01, N = 3 SE +/- 0.01, N = 3 75.37 74.10 70.90 61.75 52.85 41.84 40.27 34.08 33.35 29.46 27.34 27.05 26.23 25.52 25.52 24.19 21.01 20.91 19.16 18.90 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 14 28 42 56 70 Min: 75.26 / Avg: 75.37 / Max: 75.42 Min: 74.06 / Avg: 74.1 / Max: 74.14 Min: 70.86 / Avg: 70.9 / Max: 70.95 Min: 61.72 / Avg: 61.75 / Max: 61.78 Min: 52.82 / Avg: 52.84 / Max: 52.88 Min: 41.79 / Avg: 41.84 / Max: 41.9 Min: 40.24 / Avg: 40.27 / Max: 40.32 Min: 34.06 / Avg: 34.08 / Max: 34.11 Min: 33.33 / Avg: 33.35 / Max: 33.36 Min: 29.42 / Avg: 29.46 / Max: 29.5 Min: 27.3 / Avg: 27.34 / Max: 27.37 Min: 27.03 / Avg: 27.05 / Max: 27.08 Min: 26.21 / Avg: 26.23 / Max: 26.24 Min: 25.5 / Avg: 25.52 / Max: 25.53 Min: 25.5 / Avg: 25.51 / Max: 25.53 Min: 24.15 / Avg: 24.18 / Max: 24.21 Min: 20.99 / Avg: 21.01 / Max: 21.02 Min: 20.88 / Avg: 20.91 / Max: 20.95 Min: 19.13 / Avg: 19.16 / Max: 19.18 Min: 18.89 / Avg: 18.9 / Max: 18.91 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7F52 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7502P EPYC 7702 EPYC 7502 EPYC 7532 EPYC 7552 EPYC 7542 EPYC 7642 EPYC 7662 30K 60K 90K 120K 150K SE +/- 337.56, N = 3 SE +/- 219.73, N = 3 SE +/- 67.38, N = 3 SE +/- 68.82, N = 3 SE +/- 802.19, N = 3 SE +/- 120.56, N = 3 SE +/- 106.02, N = 3 SE +/- 473.52, N = 3 SE +/- 155.57, N = 3 SE +/- 334.89, N = 3 SE +/- 242.78, N = 3 SE +/- 1254.13, N = 3 SE +/- 1104.18, N = 12 SE +/- 2123.40, N = 3 SE +/- 320.50, N = 3 SE +/- 554.28, N = 3 SE +/- 252.72, N = 3 SE +/- 293.15, N = 3 SE +/- 1908.61, N = 3 SE +/- 1672.04, N = 8 41087.46 44076.81 47744.98 52650.75 58471.22 76405.27 84934.71 91394.81 98750.37 109971.98 121525.13 124083.95 133908.92 134685.96 134830.00 135022.21 138431.07 143497.18 150648.47 160887.39 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7F52 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7502P EPYC 7702 EPYC 7502 EPYC 7532 EPYC 7552 EPYC 7542 EPYC 7642 EPYC 7662 30K 60K 90K 120K 150K Min: 40596.75 / Avg: 41087.46 / Max: 41734.37 Min: 43682.07 / Avg: 44076.81 / Max: 44441.44 Min: 47673.86 / Avg: 47744.98 / Max: 47879.67 Min: 52530.46 / Avg: 52650.75 / Max: 52768.82 Min: 57538.62 / Avg: 58471.22 / Max: 60068.11 Min: 76247.66 / Avg: 76405.27 / Max: 76642.11 Min: 84763.98 / Avg: 84934.71 / Max: 85128.98 Min: 90617.8 / Avg: 91394.81 / Max: 92252.2 Min: 98547.12 / Avg: 98750.37 / Max: 99056.01 Min: 109341.81 / Avg: 109971.98 / Max: 110483.57 Min: 121274.35 / Avg: 121525.13 / Max: 122010.6 Min: 121594.51 / Avg: 124083.95 / Max: 125594.29 Min: 121806.39 / Avg: 133908.92 / Max: 135449.55 Min: 130680.76 / Avg: 134685.96 / Max: 137911.4 Min: 134233.96 / Avg: 134830 / Max: 135332.24 Min: 134245.38 / Avg: 135022.21 / Max: 136095.53 Min: 137948.8 / Avg: 138431.07 / Max: 138803.22 Min: 142929.16 / Avg: 143497.18 / Max: 143906.96 Min: 148564.98 / Avg: 150648.47 / Max: 154460.18 Min: 158223.44 / Avg: 160887.39 / Max: 172237.35 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7F72 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 20 40 60 80 100 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.09, N = 3 SE +/- 0.13, N = 3 SE +/- 0.24, N = 3 SE +/- 0.13, N = 3 SE +/- 0.13, N = 3 SE +/- 0.32, N = 3 SE +/- 0.28, N = 3 SE +/- 0.17, N = 3 SE +/- 0.21, N = 3 SE +/- 0.46, N = 3 SE +/- 0.32, N = 3 SE +/- 0.32, N = 3 SE +/- 0.14, N = 3 SE +/- 0.11, N = 3 20.36 20.58 20.75 23.50 28.88 34.09 34.97 38.88 46.47 52.55 53.27 53.42 55.73 56.00 57.37 58.06 59.03 60.07 75.49 79.52 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7F72 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 15 30 45 60 75 Min: 20.33 / Avg: 20.36 / Max: 20.38 Min: 20.51 / Avg: 20.58 / Max: 20.64 Min: 20.72 / Avg: 20.75 / Max: 20.78 Min: 23.49 / Avg: 23.5 / Max: 23.53 Min: 28.86 / Avg: 28.88 / Max: 28.9 Min: 33.99 / Avg: 34.09 / Max: 34.19 Min: 34.78 / Avg: 34.97 / Max: 35.1 Min: 38.63 / Avg: 38.88 / Max: 39.04 Min: 46.14 / Avg: 46.47 / Max: 46.94 Min: 52.41 / Avg: 52.55 / Max: 52.81 Min: 53.02 / Avg: 53.27 / Max: 53.46 Min: 52.81 / Avg: 53.42 / Max: 53.91 Min: 55.4 / Avg: 55.73 / Max: 56.29 Min: 55.76 / Avg: 56 / Max: 56.32 Min: 56.98 / Avg: 57.37 / Max: 57.71 Min: 57.42 / Avg: 58.06 / Max: 58.94 Min: 58.58 / Avg: 59.03 / Max: 59.65 Min: 59.46 / Avg: 60.07 / Max: 60.53 Min: 75.26 / Avg: 75.49 / Max: 75.74 Min: 79.31 / Avg: 79.52 / Max: 79.64 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 30 60 90 120 150 SE +/- 0.12, N = 3 SE +/- 0.32, N = 3 SE +/- 0.12, N = 3 SE +/- 0.13, N = 3 SE +/- 0.36, N = 3 SE +/- 0.15, N = 3 SE +/- 0.07, N = 3 SE +/- 0.23, N = 3 SE +/- 0.44, N = 3 SE +/- 0.17, N = 3 SE +/- 0.09, N = 3 SE +/- 0.15, N = 3 SE +/- 0.35, N = 3 SE +/- 0.19, N = 3 SE +/- 0.20, N = 3 SE +/- 0.54, N = 3 SE +/- 0.61, N = 3 SE +/- 0.77, N = 3 SE +/- 1.18, N = 3 SE +/- 0.61, N = 3 36.0 38.3 43.4 43.5 52.5 64.5 71.3 80.9 89.7 92.9 101.1 108.9 109.1 109.7 110.5 116.8 122.1 125.0 126.6 139.2 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 30 60 90 120 150 Min: 35.8 / Avg: 36 / Max: 36.2 Min: 37.7 / Avg: 38.33 / Max: 38.7 Min: 43.2 / Avg: 43.43 / Max: 43.6 Min: 43.4 / Avg: 43.53 / Max: 43.8 Min: 51.8 / Avg: 52.5 / Max: 53 Min: 64.3 / Avg: 64.53 / Max: 64.8 Min: 71.2 / Avg: 71.33 / Max: 71.4 Min: 80.5 / Avg: 80.9 / Max: 81.3 Min: 88.8 / Avg: 89.67 / Max: 90.2 Min: 92.7 / Avg: 92.87 / Max: 93.2 Min: 100.9 / Avg: 101.07 / Max: 101.2 Min: 108.7 / Avg: 108.93 / Max: 109.2 Min: 108.6 / Avg: 109.13 / Max: 109.8 Min: 109.5 / Avg: 109.73 / Max: 110.1 Min: 110.3 / Avg: 110.5 / Max: 110.9 Min: 115.8 / Avg: 116.83 / Max: 117.6 Min: 121 / Avg: 122.13 / Max: 123.1 Min: 123.9 / Avg: 125.03 / Max: 126.5 Min: 124.2 / Avg: 126.57 / Max: 127.8 Min: 138 / Avg: 139.2 / Max: 140 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 7262 EPYC 7252 EPYC 7272 EPYC 7282 EPYC 7F52 EPYC 7352 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7542 4 8 12 16 20 SE +/- 0.052, N = 3 SE +/- 0.056, N = 3 SE +/- 0.110, N = 4 SE +/- 0.174, N = 3 SE +/- 0.013, N = 3 SE +/- 0.025, N = 3 SE +/- 0.033, N = 3 SE +/- 0.016, N = 3 SE +/- 0.045, N = 3 SE +/- 0.038, N = 3 4.867 5.031 7.481 9.123 9.287 13.129 16.237 17.276 17.341 18.028 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 7262 EPYC 7252 EPYC 7272 EPYC 7282 EPYC 7F52 EPYC 7352 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7542 5 10 15 20 25 Min: 4.77 / Avg: 4.87 / Max: 4.94 Min: 4.96 / Avg: 5.03 / Max: 5.14 Min: 7.16 / Avg: 7.48 / Max: 7.65 Min: 8.78 / Avg: 9.12 / Max: 9.34 Min: 9.26 / Avg: 9.29 / Max: 9.3 Min: 13.09 / Avg: 13.13 / Max: 13.18 Min: 16.19 / Avg: 16.24 / Max: 16.3 Min: 17.25 / Avg: 17.28 / Max: 17.31 Min: 17.26 / Avg: 17.34 / Max: 17.42 Min: 17.96 / Avg: 18.03 / Max: 18.09 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 7262 EPYC 7252 EPYC 7232P EPYC 7F32 EPYC 7272 EPYC 7302P EPYC 7282 EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7532 EPYC 7452 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7552 EPYC 7502 EPYC 7642 EPYC 7F72 EPYC 7542 60 120 180 240 300 SE +/- 0.21, N = 3 SE +/- 0.21, N = 3 SE +/- 0.37, N = 3 SE +/- 0.48, N = 3 SE +/- 0.27, N = 3 SE +/- 1.23, N = 3 SE +/- 0.83, N = 3 SE +/- 0.73, N = 3 SE +/- 0.95, N = 3 SE +/- 0.78, N = 3 SE +/- 3.11, N = 3 SE +/- 3.58, N = 4 SE +/- 2.06, N = 3 SE +/- 1.02, N = 3 SE +/- 1.54, N = 3 SE +/- 1.81, N = 3 SE +/- 2.25, N = 3 SE +/- 2.83, N = 3 SE +/- 1.86, N = 3 SE +/- 3.97, N = 3 80.77 85.67 87.66 95.61 159.41 196.52 201.17 202.89 241.17 260.38 266.03 275.88 278.50 282.53 285.23 286.10 286.20 288.70 291.00 297.18 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 7262 EPYC 7252 EPYC 7232P EPYC 7F32 EPYC 7272 EPYC 7302P EPYC 7282 EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7532 EPYC 7452 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7552 EPYC 7502 EPYC 7642 EPYC 7F72 EPYC 7542 50 100 150 200 250 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 Min: 95 / Avg: 95.61 / Max: 96.56 Min: 158.86 / Avg: 159.41 / Max: 159.7 Min: 194.11 / Avg: 196.52 / Max: 198.15 Min: 199.53 / Avg: 201.17 / Max: 202.16 Min: 201.82 / Avg: 202.89 / Max: 204.29 Min: 239.52 / Avg: 241.17 / Max: 242.82 Min: 259.29 / Avg: 260.38 / Max: 261.89 Min: 262.47 / Avg: 266.03 / Max: 272.23 Min: 267.74 / Avg: 275.88 / Max: 285.17 Min: 276.37 / Avg: 278.5 / Max: 282.62 Min: 280.5 / Avg: 282.53 / Max: 283.55 Min: 282.75 / Avg: 285.23 / Max: 288.05 Min: 282.89 / Avg: 286.1 / Max: 289.16 Min: 281.95 / Avg: 286.2 / Max: 289.58 Min: 283.42 / Avg: 288.7 / Max: 293.11 Min: 287.49 / Avg: 291 / Max: 293.83 Min: 291.26 / Avg: 297.18 / Max: 304.72 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7302P EPYC 7282 EPYC 7352 EPYC 7F52 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7662 7 14 21 28 35 SE +/- 0.088, N = 3 SE +/- 0.042, N = 3 SE +/- 0.102, N = 3 SE +/- 0.047, N = 3 SE +/- 0.124, N = 3 SE +/- 0.070, N = 3 SE +/- 0.047, N = 3 SE +/- 0.112, N = 3 SE +/- 0.011, N = 3 SE +/- 0.014, N = 3 SE +/- 0.060, N = 3 SE +/- 0.025, N = 3 SE +/- 0.135, N = 3 SE +/- 0.020, N = 3 SE +/- 0.009, N = 3 SE +/- 0.023, N = 3 SE +/- 0.052, N = 3 SE +/- 0.070, N = 3 SE +/- 0.089, N = 3 SE +/- 0.030, N = 3 28.157 25.669 24.688 23.290 20.377 15.273 14.890 13.488 13.366 11.532 10.772 10.151 9.981 9.819 9.796 9.761 8.384 8.343 8.301 7.679 1. (CXX) g++ options: -O2 -lOpenCL
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP CFD Solver EPYC 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7302P EPYC 7282 EPYC 7352 EPYC 7F52 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7662 6 12 18 24 30 Min: 28.03 / Avg: 28.16 / Max: 28.33 Min: 25.59 / Avg: 25.67 / Max: 25.71 Min: 24.56 / Avg: 24.69 / Max: 24.89 Min: 23.21 / Avg: 23.29 / Max: 23.37 Min: 20.2 / Avg: 20.38 / Max: 20.62 Min: 15.17 / Avg: 15.27 / Max: 15.41 Min: 14.82 / Avg: 14.89 / Max: 14.98 Min: 13.28 / Avg: 13.49 / Max: 13.66 Min: 13.35 / Avg: 13.37 / Max: 13.39 Min: 11.51 / Avg: 11.53 / Max: 11.55 Min: 10.7 / Avg: 10.77 / Max: 10.89 Min: 10.1 / Avg: 10.15 / Max: 10.19 Min: 9.83 / Avg: 9.98 / Max: 10.25 Min: 9.79 / Avg: 9.82 / Max: 9.86 Min: 9.78 / Avg: 9.8 / Max: 9.81 Min: 9.72 / Avg: 9.76 / Max: 9.79 Min: 8.32 / Avg: 8.38 / Max: 8.49 Min: 8.27 / Avg: 8.34 / Max: 8.48 Min: 8.14 / Avg: 8.3 / Max: 8.44 Min: 7.63 / Avg: 7.68 / Max: 7.73 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7F52 EPYC 7402P EPYC 7452 EPYC 7F72 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 20 40 60 80 100 SE +/- 0.82, N = 3 SE +/- 0.81, N = 3 SE +/- 0.78, N = 3 SE +/- 0.59, N = 3 SE +/- 1.26, N = 3 SE +/- 0.73, N = 3 SE +/- 0.75, N = 4 SE +/- 0.85, N = 3 SE +/- 0.61, N = 3 SE +/- 0.74, N = 3 SE +/- 0.51, N = 5 SE +/- 0.66, N = 3 SE +/- 0.44, N = 3 SE +/- 0.50, N = 5 SE +/- 0.50, N = 5 SE +/- 0.41, N = 6 SE +/- 0.34, N = 8 SE +/- 0.32, N = 8 SE +/- 0.29, N = 9 SE +/- 0.29, N = 9 107.09 105.12 97.94 85.45 75.08 61.95 56.26 50.11 46.98 44.09 41.12 39.47 39.14 38.73 38.68 36.52 32.17 31.93 29.71 29.46
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed Linux Kernel Compilation 5.4 Time To Compile EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7F52 EPYC 7402P EPYC 7452 EPYC 7F72 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 20 40 60 80 100 Min: 105.98 / Avg: 107.09 / Max: 108.69 Min: 104.06 / Avg: 105.12 / Max: 106.71 Min: 96.97 / Avg: 97.94 / Max: 99.48 Min: 84.43 / Avg: 85.45 / Max: 86.48 Min: 73.79 / Avg: 75.08 / Max: 77.61 Min: 60.99 / Avg: 61.95 / Max: 63.38 Min: 55.06 / Avg: 56.26 / Max: 58.43 Min: 49.19 / Avg: 50.11 / Max: 51.82 Min: 46.33 / Avg: 46.98 / Max: 48.2 Min: 43.31 / Avg: 44.09 / Max: 45.57 Min: 40.52 / Avg: 41.12 / Max: 43.17 Min: 38.8 / Avg: 39.47 / Max: 40.79 Min: 38.68 / Avg: 39.14 / Max: 40.01 Min: 38.21 / Avg: 38.73 / Max: 40.75 Min: 38.07 / Avg: 38.68 / Max: 40.67 Min: 36.06 / Avg: 36.52 / Max: 38.57 Min: 31.54 / Avg: 32.17 / Max: 34.51 Min: 31.51 / Avg: 31.93 / Max: 34.2 Min: 29.33 / Avg: 29.71 / Max: 32.04 Min: 29.1 / Avg: 29.46 / Max: 31.76
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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7642 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7F52 EPYC 7552 EPYC 7532 EPYC 7702 EPYC 7F72 EPYC 7542 EPYC 7662 0.4148 0.8296 1.2444 1.6592 2.074 SE +/- 0.006472, N = 3 SE +/- 0.002690, N = 3 SE +/- 0.024818, N = 4 SE +/- 0.015210, N = 3 SE +/- 0.011469, N = 3 SE +/- 0.005483, N = 3 SE +/- 0.009798, N = 15 SE +/- 0.006121, N = 3 SE +/- 0.007556, N = 9 SE +/- 0.003662, N = 3 SE +/- 0.003436, N = 3 SE +/- 0.002135, N = 3 SE +/- 0.003266, N = 3 SE +/- 0.005635, N = 3 SE +/- 0.051492, N = 12 SE +/- 0.004547, N = 3 SE +/- 0.001105, N = 3 SE +/- 0.002349, N = 3 SE +/- 0.000576, N = 3 SE +/- 0.002637, N = 3 1.843760 1.713940 1.662110 1.496190 1.316400 1.175090 1.084500 0.861371 0.800377 0.749534 0.738508 0.712874 0.702869 0.692661 0.682353 0.636335 0.624560 0.551721 0.539435 0.508448 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7642 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7F52 EPYC 7552 EPYC 7532 EPYC 7702 EPYC 7F72 EPYC 7542 EPYC 7662 2 4 6 8 10 Min: 1.84 / Avg: 1.84 / Max: 1.86 Min: 1.71 / Avg: 1.71 / Max: 1.72 Min: 1.63 / Avg: 1.66 / Max: 1.74 Min: 1.48 / Avg: 1.5 / Max: 1.53 Min: 1.3 / Avg: 1.32 / Max: 1.34 Min: 1.17 / Avg: 1.18 / Max: 1.19 Min: 1.03 / Avg: 1.08 / Max: 1.21 Min: 0.85 / Avg: 0.86 / Max: 0.87 Min: 0.76 / Avg: 0.8 / Max: 0.83 Min: 0.75 / Avg: 0.75 / Max: 0.76 Min: 0.73 / Avg: 0.74 / Max: 0.74 Min: 0.71 / Avg: 0.71 / Max: 0.72 Min: 0.7 / Avg: 0.7 / Max: 0.71 Min: 0.68 / Avg: 0.69 / Max: 0.7 Min: 0.54 / Avg: 0.68 / Max: 0.95 Min: 0.63 / Avg: 0.64 / Max: 0.65 Min: 0.62 / Avg: 0.62 / Max: 0.63 Min: 0.55 / Avg: 0.55 / Max: 0.56 Min: 0.54 / Avg: 0.54 / Max: 0.54 Min: 0.5 / Avg: 0.51 / Max: 0.51 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 7262 EPYC 7252 EPYC 7232P EPYC 7F32 EPYC 7272 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7352 EPYC 7532 EPYC 7402P EPYC 7452 EPYC 7702 EPYC 7502 EPYC 7502P EPYC 7662 EPYC 7F72 EPYC 7642 EPYC 7552 EPYC 7542 80 160 240 320 400 SE +/- 0.44, N = 3 SE +/- 0.19, N = 3 SE +/- 0.19, N = 3 SE +/- 0.17, N = 3 SE +/- 0.60, N = 3 SE +/- 1.32, N = 3 SE +/- 0.84, N = 3 SE +/- 0.74, N = 3 SE +/- 0.18, N = 3 SE +/- 1.86, N = 3 SE +/- 0.65, N = 3 SE +/- 3.26, N = 3 SE +/- 1.71, N = 3 SE +/- 0.97, N = 3 SE +/- 1.60, N = 3 SE +/- 3.39, N = 3 SE +/- 0.78, N = 3 SE +/- 0.92, N = 3 SE +/- 0.35, N = 3 SE +/- 1.64, N = 3 103.49 112.47 115.55 120.31 195.57 246.52 247.19 252.60 302.67 332.00 334.14 348.02 348.52 354.06 357.09 360.79 361.45 364.75 369.46 374.54 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 7262 EPYC 7252 EPYC 7232P EPYC 7F32 EPYC 7272 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7352 EPYC 7532 EPYC 7402P EPYC 7452 EPYC 7702 EPYC 7502 EPYC 7502P EPYC 7662 EPYC 7F72 EPYC 7642 EPYC 7552 EPYC 7542 70 140 210 280 350 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 Min: 119.98 / Avg: 120.31 / Max: 120.53 Min: 194.68 / Avg: 195.57 / Max: 196.72 Min: 244.2 / Avg: 246.52 / Max: 248.76 Min: 245.6 / Avg: 247.19 / Max: 248.45 Min: 251.15 / Avg: 252.6 / Max: 253.59 Min: 302.42 / Avg: 302.67 / Max: 303.03 Min: 329.31 / Avg: 332 / Max: 335.57 Min: 332.96 / Avg: 334.14 / Max: 335.2 Min: 343.64 / Avg: 348.02 / Max: 354.4 Min: 345.82 / Avg: 348.52 / Max: 351.7 Min: 352.32 / Avg: 354.06 / Max: 355.66 Min: 354.4 / Avg: 357.09 / Max: 359.93 Min: 354.19 / Avg: 360.79 / Max: 365.41 Min: 359.93 / Avg: 361.45 / Max: 362.54 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 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7F72 EPYC 7702 EPYC 7552 EPYC 7642 EPYC 7662 40 80 120 160 200 SE +/- 0.48, N = 3 SE +/- 1.14, N = 3 SE +/- 0.46, N = 3 SE +/- 0.14, N = 3 SE +/- 0.23, N = 3 SE +/- 0.69, N = 3 SE +/- 0.38, N = 3 SE +/- 0.99, N = 3 SE +/- 0.03, N = 3 SE +/- 0.31, N = 3 SE +/- 0.41, N = 3 SE +/- 0.20, N = 3 SE +/- 0.46, N = 3 SE +/- 0.08, N = 3 SE +/- 0.27, N = 3 SE +/- 0.14, N = 3 SE +/- 0.79, N = 4 SE +/- 0.57, N = 4 SE +/- 0.45, N = 8 SE +/- 0.24, N = 3 162.64 153.13 151.14 133.10 113.37 100.99 97.02 87.18 68.34 60.56 60.54 59.47 57.40 57.39 56.19 55.04 54.35 46.45 45.36 45.05 1. (CXX) g++ options: -O2 -lOpenCL
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP Leukocyte EPYC 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7F72 EPYC 7702 EPYC 7552 EPYC 7642 EPYC 7662 30 60 90 120 150 Min: 161.79 / Avg: 162.64 / Max: 163.45 Min: 151.63 / Avg: 153.13 / Max: 155.37 Min: 150.42 / Avg: 151.14 / Max: 151.98 Min: 132.94 / Avg: 133.1 / Max: 133.37 Min: 112.91 / Avg: 113.37 / Max: 113.64 Min: 99.65 / Avg: 100.98 / Max: 101.96 Min: 96.64 / Avg: 97.02 / Max: 97.77 Min: 85.23 / Avg: 87.18 / Max: 88.43 Min: 68.29 / Avg: 68.34 / Max: 68.38 Min: 59.94 / Avg: 60.56 / Max: 60.89 Min: 60 / Avg: 60.54 / Max: 61.33 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: 55.69 / Avg: 56.19 / Max: 56.63 Min: 54.79 / Avg: 55.04 / Max: 55.29 Min: 53.22 / Avg: 54.35 / Max: 56.65 Min: 45.49 / Avg: 46.44 / Max: 48.06 Min: 44.01 / Avg: 45.35 / Max: 48.12 Min: 44.57 / Avg: 45.05 / Max: 45.32 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 7232P EPYC 7282 EPYC 7272 EPYC 7452 EPYC 7502 EPYC 7542 EPYC 7502P EPYC 7252 EPYC 7352 EPYC 7702 EPYC 7662 EPYC 7402P EPYC 7552 EPYC 7642 EPYC 7262 EPYC 7302P EPYC 7532 EPYC 7F32 EPYC 7F72 EPYC 7F52 30M 60M 90M 120M 150M SE +/- 79087.77, N = 3 SE +/- 21654.12, N = 3 SE +/- 553117.95, N = 3 SE +/- 43695.86, N = 3 SE +/- 138505.24, N = 3 SE +/- 85623.51, N = 3 SE +/- 61652.84, N = 3 SE +/- 367613.84, N = 3 SE +/- 346134.38, N = 3 SE +/- 117297.02, N = 3 SE +/- 13013.76, N = 3 SE +/- 92631.94, N = 3 SE +/- 534270.03, N = 3 SE +/- 699142.47, N = 3 SE +/- 300071.26, N = 3 SE +/- 258439.14, N = 3 SE +/- 325493.89, N = 3 SE +/- 276293.23, N = 3 SE +/- 547694.92, N = 3 SE +/- 57668.78, N = 3 40677543 46309610 54729003 65842107 66023410 66281803 68816610 69631237 75657760 77105490 77768500 79244993 82508063 92809700 100136353 103276333 104620000 106472367 113303100 141602033 1. (CXX) g++ options: -O3 -fopenmp
Result Confidence
OpenBenchmarking.org Throughput FoM, More Is Better Kripke 1.2.4 EPYC 7232P EPYC 7282 EPYC 7272 EPYC 7452 EPYC 7502 EPYC 7542 EPYC 7502P EPYC 7252 EPYC 7352 EPYC 7702 EPYC 7662 EPYC 7402P EPYC 7552 EPYC 7642 EPYC 7262 EPYC 7302P EPYC 7532 EPYC 7F32 EPYC 7F72 EPYC 7F52 20M 40M 60M 80M 100M Min: 40535410 / Avg: 40677543.33 / Max: 40808720 Min: 46284070 / Avg: 46309610 / Max: 46352670 Min: 54086810 / Avg: 54729003.33 / Max: 55830170 Min: 65754820 / Avg: 65842106.67 / Max: 65889460 Min: 65816160 / Avg: 66023410 / Max: 66286210 Min: 66123390 / Avg: 66281803.33 / Max: 66417340 Min: 68738250 / Avg: 68816610 / Max: 68938240 Min: 68899500 / Avg: 69631236.67 / Max: 70059080 Min: 75166410 / Avg: 75657760 / Max: 76325760 Min: 76917380 / Avg: 77105490 / Max: 77320940 Min: 77749830 / Avg: 77768500 / Max: 77793540 Min: 79076240 / Avg: 79244993.33 / Max: 79395580 Min: 81446530 / Avg: 82508063.33 / Max: 83144630 Min: 91869130 / Avg: 92809700 / Max: 94176030 Min: 99550260 / Avg: 100136353.33 / Max: 100541200 Min: 102759600 / Avg: 103276333.33 / Max: 103545300 Min: 104002100 / Avg: 104620000 / Max: 105106400 Min: 105955800 / Avg: 106472366.67 / Max: 106900600 Min: 112224900 / Avg: 113303100 / Max: 114009600 Min: 141487000 / Avg: 141602033.33 / Max: 141666800 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7F52 EPYC 7402P EPYC 7452 EPYC 7F72 EPYC 7502 EPYC 7532 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 11 22 33 44 55 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 46.73 45.07 42.15 36.78 32.80 27.16 24.58 21.44 20.77 19.01 17.87 17.29 16.98 16.94 16.91 16.09 14.44 14.21 13.61 13.44
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed MPlayer Compilation 1.4 Time To Compile EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7F52 EPYC 7402P EPYC 7452 EPYC 7F72 EPYC 7502 EPYC 7532 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 10 20 30 40 50 Min: 46.7 / Avg: 46.73 / Max: 46.78 Min: 45 / Avg: 45.07 / Max: 45.14 Min: 42.08 / Avg: 42.15 / Max: 42.23 Min: 36.73 / Avg: 36.78 / Max: 36.82 Min: 32.74 / Avg: 32.8 / Max: 32.87 Min: 27.07 / Avg: 27.15 / Max: 27.25 Min: 24.53 / Avg: 24.57 / Max: 24.64 Min: 21.4 / Avg: 21.44 / Max: 21.5 Min: 20.74 / Avg: 20.77 / Max: 20.81 Min: 18.97 / Avg: 19.01 / Max: 19.04 Min: 17.84 / Avg: 17.87 / Max: 17.89 Min: 17.2 / Avg: 17.29 / Max: 17.42 Min: 16.98 / Avg: 16.98 / Max: 16.98 Min: 16.89 / Avg: 16.94 / Max: 16.98 Min: 16.84 / Avg: 16.91 / Max: 17 Min: 16.01 / Avg: 16.09 / Max: 16.14 Min: 14.36 / Avg: 14.43 / Max: 14.5 Min: 14.18 / Avg: 14.21 / Max: 14.23 Min: 13.56 / Avg: 13.61 / Max: 13.68 Min: 13.4 / Avg: 13.44 / Max: 13.49
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 7262 EPYC 7252 EPYC 7232P EPYC 7F32 EPYC 7272 EPYC 7302P EPYC 7282 EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7F72 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7702 EPYC 7542 EPYC 7642 EPYC 7552 EPYC 7662 4 8 12 16 20 SE +/- 0.12714, N = 3 SE +/- 0.03075, N = 3 SE +/- 0.02746, N = 3 SE +/- 0.07384, N = 3 SE +/- 0.03084, N = 3 SE +/- 0.10143, N = 4 SE +/- 0.00820, N = 3 SE +/- 0.06725, N = 3 SE +/- 0.00709, N = 3 SE +/- 0.00753, N = 3 SE +/- 0.01115, N = 3 SE +/- 0.03557, N = 3 SE +/- 0.01336, N = 3 SE +/- 0.00885, N = 3 SE +/- 0.00234, N = 3 SE +/- 0.00415, N = 3 SE +/- 0.00353, N = 3 SE +/- 0.00059, N = 3 SE +/- 0.00254, N = 3 SE +/- 0.00298, N = 3 15.01350 14.72650 14.55650 13.78970 9.46552 7.66718 7.34207 7.05423 5.77336 5.22125 4.94904 4.88257 4.79450 4.65515 4.64995 4.50294 4.47072 4.39351 4.37212 4.36521 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 7262 EPYC 7252 EPYC 7232P EPYC 7F32 EPYC 7272 EPYC 7302P EPYC 7282 EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7F72 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7702 EPYC 7542 EPYC 7642 EPYC 7552 EPYC 7662 4 8 12 16 20 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 Min: 13.65 / Avg: 13.79 / Max: 13.89 Min: 9.41 / Avg: 9.47 / Max: 9.51 Min: 7.47 / Avg: 7.67 / Max: 7.94 Min: 7.33 / Avg: 7.34 / Max: 7.35 Min: 6.95 / Avg: 7.05 / Max: 7.18 Min: 5.76 / Avg: 5.77 / Max: 5.79 Min: 5.21 / Avg: 5.22 / Max: 5.24 Min: 4.93 / Avg: 4.95 / Max: 4.97 Min: 4.85 / Avg: 4.88 / Max: 4.95 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: 4.49 / Avg: 4.5 / Max: 4.51 Min: 4.47 / Avg: 4.47 / Max: 4.48 Min: 4.39 / Avg: 4.39 / Max: 4.39 Min: 4.37 / Avg: 4.37 / Max: 4.37 Min: 4.36 / Avg: 4.37 / Max: 4.37 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7F52 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7702 EPYC 7502P EPYC 7552 EPYC 7542 EPYC 7642 EPYC 7662 9 18 27 36 45 SE +/- 0.15, N = 3 SE +/- 0.10, N = 3 SE +/- 0.16, N = 3 SE +/- 0.14, N = 3 SE +/- 0.14, N = 3 SE +/- 0.03, N = 3 SE +/- 0.21, N = 3 SE +/- 0.14, N = 3 SE +/- 0.26, N = 3 SE +/- 0.25, N = 3 SE +/- 0.35, N = 3 SE +/- 0.27, N = 3 SE +/- 0.15, N = 3 SE +/- 0.23, N = 3 SE +/- 0.27, N = 3 SE +/- 0.12, N = 3 SE +/- 0.09, N = 3 SE +/- 0.32, N = 3 SE +/- 0.21, N = 3 SE +/- 0.31, N = 3 10.98 12.33 12.96 15.03 15.90 20.13 21.62 24.75 24.98 27.86 29.48 29.69 30.10 31.86 32.08 32.30 33.04 33.82 34.80 37.42
Result Confidence
OpenBenchmarking.org FPS, More Is Better PlaidML FP16: No - Mode: Inference - Network: VGG16 - Device: CPU EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7F52 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7702 EPYC 7502P EPYC 7552 EPYC 7542 EPYC 7642 EPYC 7662 8 16 24 32 40 Min: 10.72 / Avg: 10.98 / Max: 11.24 Min: 12.16 / Avg: 12.33 / Max: 12.49 Min: 12.65 / Avg: 12.96 / Max: 13.17 Min: 14.81 / Avg: 15.03 / Max: 15.28 Min: 15.65 / Avg: 15.9 / Max: 16.12 Min: 20.08 / Avg: 20.13 / Max: 20.18 Min: 21.35 / Avg: 21.62 / Max: 22.04 Min: 24.52 / Avg: 24.75 / Max: 24.99 Min: 24.48 / Avg: 24.98 / Max: 25.34 Min: 27.56 / Avg: 27.86 / Max: 28.36 Min: 29.05 / Avg: 29.48 / Max: 30.18 Min: 29.22 / Avg: 29.69 / Max: 30.17 Min: 29.89 / Avg: 30.1 / Max: 30.39 Min: 31.4 / Avg: 31.86 / Max: 32.11 Min: 31.8 / Avg: 32.08 / Max: 32.62 Min: 32.1 / Avg: 32.3 / Max: 32.52 Min: 32.94 / Avg: 33.04 / Max: 33.21 Min: 33.22 / Avg: 33.82 / Max: 34.33 Min: 34.56 / Avg: 34.8 / Max: 35.22 Min: 36.86 / Avg: 37.42 / Max: 37.93
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 7252 EPYC 7262 EPYC 7232P EPYC 7F32 EPYC 7272 EPYC 7302P EPYC 7282 EPYC 7352 EPYC 7402P EPYC 7532 EPYC 7F52 EPYC 7502 EPYC 7452 EPYC 7502P EPYC 7542 EPYC 7F72 EPYC 7642 EPYC 7552 EPYC 7662 EPYC 7702 40K 80K 120K 160K 200K SE +/- 284.64, N = 3 SE +/- 51.41, N = 3 SE +/- 139.20, N = 3 SE +/- 103.64, N = 3 SE +/- 246.26, N = 3 SE +/- 157.79, N = 3 SE +/- 82.24, N = 3 SE +/- 255.82, N = 3 SE +/- 354.28, N = 3 SE +/- 165.04, N = 3 SE +/- 531.97, N = 3 SE +/- 41.97, N = 3 SE +/- 158.35, N = 3 SE +/- 187.85, N = 3 SE +/- 41.05, N = 3 SE +/- 115.80, N = 3 SE +/- 219.56, N = 3 SE +/- 320.60, N = 3 SE +/- 168.25, N = 3 SE +/- 196.12, N = 3 59153 59225 59491 79963 88107 93454 109127 117512 126717 131671 134174 138345 146157 148225 148700 155900 159162 160177 197631 201155 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 7252 EPYC 7262 EPYC 7232P EPYC 7F32 EPYC 7272 EPYC 7302P EPYC 7282 EPYC 7352 EPYC 7402P EPYC 7532 EPYC 7F52 EPYC 7502 EPYC 7452 EPYC 7502P EPYC 7542 EPYC 7F72 EPYC 7642 EPYC 7552 EPYC 7662 EPYC 7702 30K 60K 90K 120K 150K Min: 58585 / Avg: 59153 / Max: 59470 Min: 59125 / Avg: 59225.33 / Max: 59295 Min: 59213 / Avg: 59491.33 / Max: 59636 Min: 79785 / Avg: 79963.33 / Max: 80144 Min: 87677 / Avg: 88106.67 / Max: 88530 Min: 93197 / Avg: 93453.67 / Max: 93741 Min: 108974 / Avg: 109126.67 / Max: 109256 Min: 117108 / Avg: 117512.33 / Max: 117986 Min: 126014 / Avg: 126716.67 / Max: 127147 Min: 131343 / Avg: 131671 / Max: 131867 Min: 133400 / Avg: 134173.67 / Max: 135193 Min: 138265 / Avg: 138345 / Max: 138407 Min: 145843 / Avg: 146157.33 / Max: 146348 Min: 147909 / Avg: 148225 / Max: 148559 Min: 148644 / Avg: 148700 / Max: 148780 Min: 155770 / Avg: 155900 / Max: 156131 Min: 158791 / Avg: 159162.33 / Max: 159551 Min: 159540 / Avg: 160177 / Max: 160559 Min: 197331 / Avg: 197631 / Max: 197913 Min: 200793 / Avg: 201154.67 / Max: 201467 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7F52 EPYC 7402P EPYC 7452 EPYC 7502P EPYC 7F72 EPYC 7532 EPYC 7502 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 200 400 600 800 1000 SE +/- 2.64, N = 3 SE +/- 1.95, N = 3 SE +/- 1.38, N = 3 SE +/- 3.22, N = 3 SE +/- 4.59, N = 3 SE +/- 6.61, N = 4 SE +/- 4.72, N = 7 SE +/- 1.25, N = 3 SE +/- 1.82, N = 3 SE +/- 4.66, N = 4 SE +/- 1.75, N = 3 SE +/- 1.79, N = 3 SE +/- 3.65, N = 3 SE +/- 0.66, N = 3 SE +/- 2.19, N = 3 SE +/- 4.26, N = 3 SE +/- 1.85, N = 3 SE +/- 0.99, N = 3 SE +/- 1.34, N = 3 SE +/- 0.65, N = 3 799.67 772.09 702.57 624.93 553.78 454.41 419.19 365.27 342.56 327.94 311.57 299.22 294.84 293.32 286.83 279.82 252.86 251.63 240.28 238.82
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed LLVM Compilation 10.0 Time To Compile EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7F52 EPYC 7402P EPYC 7452 EPYC 7502P EPYC 7F72 EPYC 7532 EPYC 7502 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 140 280 420 560 700 Min: 796.13 / Avg: 799.67 / Max: 804.84 Min: 768.62 / Avg: 772.09 / Max: 775.37 Min: 699.84 / Avg: 702.57 / Max: 704.24 Min: 620.8 / Avg: 624.93 / Max: 631.28 Min: 546.27 / Avg: 553.78 / Max: 562.1 Min: 442.12 / Avg: 454.41 / Max: 472.86 Min: 402.02 / Avg: 419.19 / Max: 433.8 Min: 362.89 / Avg: 365.27 / Max: 367.12 Min: 339.55 / Avg: 342.56 / Max: 345.85 Min: 314.35 / Avg: 327.94 / Max: 334.31 Min: 308.32 / Avg: 311.57 / Max: 314.31 Min: 296.83 / Avg: 299.22 / Max: 302.71 Min: 287.55 / Avg: 294.84 / Max: 298.7 Min: 292.42 / Avg: 293.32 / Max: 294.62 Min: 282.46 / Avg: 286.83 / Max: 289.26 Min: 271.29 / Avg: 279.82 / Max: 284.22 Min: 249.78 / Avg: 252.86 / Max: 256.19 Min: 249.78 / Avg: 251.63 / Max: 253.18 Min: 237.84 / Avg: 240.27 / Max: 242.46 Min: 237.54 / Avg: 238.82 / Max: 239.66
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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7F72 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 110 220 330 440 550 519.56 490.96 463.51 413.50 347.69 294.35 274.94 234.69 232.54 208.16 189.13 187.96 186.36 181.00 179.85 172.40 163.68 161.38 161.23 160.64
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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7F72 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 2 4 6 8 10 SE +/- 0.011, N = 3 SE +/- 0.002, N = 3 SE +/- 0.004, N = 3 SE +/- 0.005, N = 3 SE +/- 0.013, N = 3 SE +/- 0.006, N = 3 SE +/- 0.006, N = 3 SE +/- 0.019, N = 3 SE +/- 0.039, N = 3 SE +/- 0.010, N = 3 SE +/- 0.021, N = 3 SE +/- 0.042, N = 3 SE +/- 0.024, N = 3 SE +/- 0.024, N = 3 SE +/- 0.007, N = 3 SE +/- 0.038, N = 3 SE +/- 0.033, N = 3 SE +/- 0.048, N = 3 SE +/- 0.075, N = 3 SE +/- 0.044, N = 3 2.549 2.553 2.674 3.073 3.525 4.082 4.626 5.201 5.286 6.095 6.429 6.575 6.710 6.728 6.771 7.075 7.694 7.908 7.953 8.191 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7F72 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 3 6 9 12 15 Min: 2.54 / Avg: 2.55 / Max: 2.57 Min: 2.55 / Avg: 2.55 / Max: 2.56 Min: 2.67 / Avg: 2.67 / Max: 2.68 Min: 3.06 / Avg: 3.07 / Max: 3.08 Min: 3.51 / Avg: 3.53 / Max: 3.55 Min: 4.07 / Avg: 4.08 / Max: 4.09 Min: 4.62 / Avg: 4.63 / Max: 4.64 Min: 5.17 / Avg: 5.2 / Max: 5.24 Min: 5.22 / Avg: 5.29 / Max: 5.35 Min: 6.08 / Avg: 6.1 / Max: 6.11 Min: 6.41 / Avg: 6.43 / Max: 6.47 Min: 6.5 / Avg: 6.58 / Max: 6.64 Min: 6.66 / Avg: 6.71 / Max: 6.74 Min: 6.68 / Avg: 6.73 / Max: 6.77 Min: 6.76 / Avg: 6.77 / Max: 6.78 Min: 7.02 / Avg: 7.07 / Max: 7.15 Min: 7.64 / Avg: 7.69 / Max: 7.75 Min: 7.85 / Avg: 7.91 / Max: 8 Min: 7.8 / Avg: 7.95 / Max: 8.05 Min: 8.1 / Avg: 8.19 / Max: 8.24 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 7232P EPYC 7262 EPYC 7F32 EPYC 7F52 EPYC 7282 EPYC 7452 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7252 EPYC 7272 EPYC 7552 EPYC 7302P EPYC 7352 EPYC 7702 EPYC 7662 EPYC 7402P EPYC 7F72 EPYC 7532 EPYC 7642 4K 8K 12K 16K 20K SE +/- 59.34, N = 3 SE +/- 33.10, N = 3 SE +/- 23.96, N = 3 SE +/- 67.68, N = 3 SE +/- 38.10, N = 3 SE +/- 32.09, N = 3 SE +/- 19.95, N = 3 SE +/- 14.74, N = 3 SE +/- 14.92, N = 3 SE +/- 61.54, N = 3 SE +/- 135.36, N = 3 SE +/- 41.28, N = 3 SE +/- 29.43, N = 3 SE +/- 94.64, N = 3 SE +/- 49.56, N = 3 SE +/- 78.70, N = 3 SE +/- 40.62, N = 3 SE +/- 41.62, N = 3 SE +/- 25.22, N = 3 SE +/- 124.38, N = 3 5237.68 5960.35 6202.90 7434.42 7481.74 7605.32 7700.23 7761.44 7802.82 8907.48 10100.28 10123.73 10289.09 10647.64 11015.81 11078.38 11346.95 12720.29 16128.64 16521.40 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 7232P EPYC 7262 EPYC 7F32 EPYC 7F52 EPYC 7282 EPYC 7452 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7252 EPYC 7272 EPYC 7552 EPYC 7302P EPYC 7352 EPYC 7702 EPYC 7662 EPYC 7402P EPYC 7F72 EPYC 7532 EPYC 7642 3K 6K 9K 12K 15K Min: 5157.6 / Avg: 5237.68 / Max: 5353.58 Min: 5911.46 / Avg: 5960.35 / Max: 6023.44 Min: 6166.89 / Avg: 6202.9 / Max: 6248.29 Min: 7303.88 / Avg: 7434.42 / Max: 7530.67 Min: 7424.73 / Avg: 7481.74 / Max: 7554.04 Min: 7541.26 / Avg: 7605.32 / Max: 7640.63 Min: 7668.41 / Avg: 7700.23 / Max: 7737 Min: 7744.12 / Avg: 7761.44 / Max: 7790.75 Min: 7787.89 / Avg: 7802.82 / Max: 7832.66 Min: 8795.57 / Avg: 8907.48 / Max: 9007.82 Min: 9846 / Avg: 10100.28 / Max: 10307.87 Min: 10042.08 / Avg: 10123.73 / Max: 10175.2 Min: 10238.06 / Avg: 10289.09 / Max: 10340.01 Min: 10468.89 / Avg: 10647.64 / Max: 10790.93 Min: 10929.71 / Avg: 11015.81 / Max: 11101.4 Min: 10989.75 / Avg: 11078.38 / Max: 11235.33 Min: 11276.08 / Avg: 11346.95 / Max: 11416.79 Min: 12641.78 / Avg: 12720.29 / Max: 12783.5 Min: 16087.02 / Avg: 16128.64 / Max: 16174.13 Min: 16299.62 / Avg: 16521.4 / Max: 16729.86 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7F52 EPYC 7402P EPYC 7452 EPYC 7532 EPYC 7F72 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 15 30 45 60 75 SE +/- 0.07, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.13, N = 3 SE +/- 0.14, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.09, N = 3 SE +/- 0.06, N = 3 SE +/- 0.11, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.07, N = 3 SE +/- 0.08, N = 3 SE +/- 0.05, N = 3 65.84 64.50 60.02 52.39 47.62 40.04 36.77 32.75 30.98 29.07 27.43 26.28 26.20 26.11 26.02 24.83 22.53 22.28 20.97 20.96
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed FFmpeg Compilation 4.2.2 Time To Compile EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7F52 EPYC 7402P EPYC 7452 EPYC 7532 EPYC 7F72 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 13 26 39 52 65 Min: 65.76 / Avg: 65.84 / Max: 65.98 Min: 64.46 / Avg: 64.5 / Max: 64.54 Min: 60 / Avg: 60.02 / Max: 60.04 Min: 52.34 / Avg: 52.39 / Max: 52.43 Min: 47.58 / Avg: 47.62 / Max: 47.67 Min: 39.94 / Avg: 40.04 / Max: 40.18 Min: 36.55 / Avg: 36.77 / Max: 36.99 Min: 32.56 / Avg: 32.75 / Max: 33.03 Min: 30.94 / Avg: 30.98 / Max: 31.02 Min: 29.03 / Avg: 29.07 / Max: 29.1 Min: 27.37 / Avg: 27.43 / Max: 27.47 Min: 26.19 / Avg: 26.28 / Max: 26.46 Min: 26.09 / Avg: 26.2 / Max: 26.3 Min: 25.93 / Avg: 26.11 / Max: 26.31 Min: 25.97 / Avg: 26.02 / Max: 26.06 Min: 24.8 / Avg: 24.83 / Max: 24.89 Min: 22.46 / Avg: 22.53 / Max: 22.57 Min: 22.14 / Avg: 22.28 / Max: 22.37 Min: 20.87 / Avg: 20.97 / Max: 21.12 Min: 20.86 / Avg: 20.96 / Max: 21.01
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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7F72 EPYC 7352 EPYC 7302P EPYC 7402P EPYC 7542 EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7552 EPYC 7F52 EPYC 7702 EPYC 7532 EPYC 7662 EPYC 7642 2 4 6 8 10 SE +/- 0.04064, N = 3 SE +/- 0.02707, N = 3 SE +/- 0.01009, N = 3 SE +/- 0.02111, N = 3 SE +/- 0.02406, N = 3 SE +/- 0.05589, N = 3 SE +/- 0.00417, N = 3 SE +/- 0.02509, N = 3 SE +/- 0.04411, N = 3 SE +/- 0.01391, N = 3 SE +/- 0.00928, N = 3 SE +/- 0.00977, N = 3 SE +/- 0.00965, N = 3 SE +/- 0.02435, N = 3 SE +/- 0.01728, N = 3 SE +/- 0.02811, N = 3 SE +/- 0.03350, N = 3 SE +/- 0.03168, N = 3 SE +/- 0.03325, N = 5 SE +/- 0.00074, N = 3 8.11390 7.71084 6.98966 6.68499 6.60647 6.09158 4.32989 4.31821 4.10317 3.99262 3.92547 3.91971 3.90825 3.86201 3.66187 3.41464 3.08453 3.00812 2.76936 2.61369 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7F72 EPYC 7352 EPYC 7302P EPYC 7402P EPYC 7542 EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7552 EPYC 7F52 EPYC 7702 EPYC 7532 EPYC 7662 EPYC 7642 3 6 9 12 15 Min: 8.06 / Avg: 8.11 / Max: 8.19 Min: 7.68 / Avg: 7.71 / Max: 7.76 Min: 6.97 / Avg: 6.99 / Max: 7.01 Min: 6.64 / Avg: 6.68 / Max: 6.71 Min: 6.57 / Avg: 6.61 / Max: 6.65 Min: 6.03 / Avg: 6.09 / Max: 6.2 Min: 4.32 / Avg: 4.33 / Max: 4.34 Min: 4.27 / Avg: 4.32 / Max: 4.35 Min: 4.02 / Avg: 4.1 / Max: 4.15 Min: 3.97 / Avg: 3.99 / Max: 4.02 Min: 3.91 / Avg: 3.93 / Max: 3.94 Min: 3.9 / Avg: 3.92 / Max: 3.94 Min: 3.9 / Avg: 3.91 / Max: 3.93 Min: 3.83 / Avg: 3.86 / Max: 3.91 Min: 3.63 / Avg: 3.66 / Max: 3.69 Min: 3.36 / Avg: 3.41 / Max: 3.46 Min: 3.03 / Avg: 3.08 / Max: 3.15 Min: 2.95 / Avg: 3.01 / Max: 3.06 Min: 2.69 / Avg: 2.77 / Max: 2.89 Min: 2.61 / Avg: 2.61 / Max: 2.62 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 7252 EPYC 7F32 EPYC 7272 EPYC 7232P EPYC 7262 EPYC 7352 EPYC 7282 EPYC 7302P EPYC 7702 EPYC 7F52 EPYC 7552 EPYC 7662 EPYC 7452 EPYC 7402P EPYC 7642 EPYC 7532 EPYC 7502P EPYC 7542 EPYC 7502 EPYC 7F72 130 260 390 520 650 SE +/- 7.53, N = 9 SE +/- 6.58, N = 3 SE +/- 4.56, N = 3 SE +/- 1.08, N = 3 SE +/- 0.80, N = 3 SE +/- 3.11, N = 9 SE +/- 6.71, N = 9 SE +/- 0.81, N = 3 SE +/- 1.62, N = 3 SE +/- 0.82, N = 3 SE +/- 1.20, N = 3 SE +/- 0.95, N = 3 SE +/- 0.49, N = 3 SE +/- 0.37, N = 3 SE +/- 0.76, N = 3 SE +/- 0.48, N = 3 SE +/- 1.89, N = 3 SE +/- 0.64, N = 3 SE +/- 1.27, N = 3 SE +/- 0.58, N = 3 604.18 499.28 465.36 463.50 433.82 291.31 288.45 274.72 265.33 233.39 228.99 227.28 212.92 212.14 210.54 206.40 204.09 201.48 200.15 194.96 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 7252 EPYC 7F32 EPYC 7272 EPYC 7232P EPYC 7262 EPYC 7352 EPYC 7282 EPYC 7302P EPYC 7702 EPYC 7F52 EPYC 7552 EPYC 7662 EPYC 7452 EPYC 7402P EPYC 7642 EPYC 7532 EPYC 7502P EPYC 7542 EPYC 7502 EPYC 7F72 110 220 330 440 550 Min: 572.84 / Avg: 604.18 / Max: 632.97 Min: 486.13 / Avg: 499.28 / Max: 505.9 Min: 459.49 / Avg: 465.36 / Max: 474.33 Min: 461.34 / Avg: 463.5 / Max: 464.59 Min: 432.32 / Avg: 433.82 / Max: 435.08 Min: 277.74 / Avg: 291.31 / Max: 308.01 Min: 278.16 / Avg: 288.45 / Max: 341.07 Min: 273.12 / Avg: 274.72 / Max: 275.73 Min: 262.49 / Avg: 265.33 / Max: 268.09 Min: 232.52 / Avg: 233.39 / Max: 235.04 Min: 227.01 / Avg: 228.99 / Max: 231.15 Min: 225.5 / Avg: 227.28 / Max: 228.76 Min: 211.96 / Avg: 212.92 / Max: 213.58 Min: 211.46 / Avg: 212.14 / Max: 212.71 Min: 209.21 / Avg: 210.54 / Max: 211.84 Min: 205.48 / Avg: 206.4 / Max: 207.09 Min: 202 / Avg: 204.09 / Max: 207.87 Min: 200.38 / Avg: 201.48 / Max: 202.6 Min: 197.97 / Avg: 200.15 / Max: 202.38 Min: 193.94 / Avg: 194.96 / Max: 195.95 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7532 EPYC 7452 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7662 140 280 420 560 700 SE +/- 0.33, N = 3 SE +/- 0.67, N = 3 SE +/- 0.33, N = 3 SE +/- 0.33, N = 3 SE +/- 0.58, N = 3 SE +/- 1.53, N = 3 SE +/- 0.88, N = 3 SE +/- 0.67, N = 3 SE +/- 0.67, N = 3 SE +/- 1.00, N = 3 SE +/- 1.15, N = 3 SE +/- 1.45, N = 3 SE +/- 1.20, N = 3 SE +/- 1.76, N = 3 212 214 225 251 294 356 382 419 432 471 492 497 507 539 545 548 588 603 632 648 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7532 EPYC 7452 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7662 110 220 330 440 550 Min: 211 / Avg: 211.67 / Max: 212 Min: 224 / Avg: 225.33 / Max: 226 Min: 293 / Avg: 293.67 / Max: 294 Min: 418 / Avg: 418.67 / Max: 419 Min: 431 / Avg: 432 / Max: 433 Min: 469 / Avg: 471 / Max: 474 Min: 490 / Avg: 491.67 / Max: 493 Min: 496 / Avg: 497.33 / Max: 498 Min: 538 / Avg: 539.33 / Max: 540 Min: 543 / Avg: 545 / Max: 546 Min: 546 / Avg: 548 / Max: 550 Min: 601 / Avg: 603.33 / Max: 606 Min: 630 / Avg: 631.67 / Max: 634 Min: 645 / Avg: 647.67 / Max: 651 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7532 EPYC 7F72 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 6 12 18 24 30 SE +/- 0.007, N = 3 SE +/- 0.023, N = 3 SE +/- 0.015, N = 3 SE +/- 0.053, N = 3 SE +/- 0.016, N = 3 SE +/- 0.002, N = 3 SE +/- 0.030, N = 3 SE +/- 0.014, N = 3 SE +/- 0.016, N = 3 SE +/- 0.020, N = 3 SE +/- 0.006, N = 3 SE +/- 0.018, N = 3 SE +/- 0.002, N = 3 SE +/- 0.004, N = 3 SE +/- 0.006, N = 3 SE +/- 0.015, N = 3 SE +/- 0.014, N = 3 SE +/- 0.009, N = 3 SE +/- 0.008, N = 3 SE +/- 0.006, N = 3 24.972 24.758 22.699 21.365 18.688 15.297 14.043 12.411 11.955 10.630 9.989 9.593 9.558 9.417 9.410 8.954 8.697 8.666 8.356 8.189
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Y-Cruncher 0.7.8.9503 Calculating 500M Pi Digits EPYC 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7532 EPYC 7F72 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 6 12 18 24 30 Min: 24.97 / Avg: 24.97 / Max: 24.99 Min: 24.72 / Avg: 24.76 / Max: 24.8 Min: 22.68 / Avg: 22.7 / Max: 22.73 Min: 21.29 / Avg: 21.37 / Max: 21.47 Min: 18.67 / Avg: 18.69 / Max: 18.72 Min: 15.29 / Avg: 15.3 / Max: 15.3 Min: 13.98 / Avg: 14.04 / Max: 14.07 Min: 12.4 / Avg: 12.41 / Max: 12.44 Min: 11.93 / Avg: 11.96 / Max: 11.99 Min: 10.59 / Avg: 10.63 / Max: 10.66 Min: 9.98 / Avg: 9.99 / Max: 10 Min: 9.57 / Avg: 9.59 / Max: 9.63 Min: 9.55 / Avg: 9.56 / Max: 9.56 Min: 9.41 / Avg: 9.42 / Max: 9.42 Min: 9.4 / Avg: 9.41 / Max: 9.42 Min: 8.94 / Avg: 8.95 / Max: 8.98 Min: 8.67 / Avg: 8.7 / Max: 8.72 Min: 8.65 / Avg: 8.67 / Max: 8.68 Min: 8.35 / Avg: 8.36 / Max: 8.37 Min: 8.18 / Avg: 8.19 / Max: 8.2
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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7F52 EPYC 7402P EPYC 7452 EPYC 7F72 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 9 18 27 36 45 SE +/- 0.05, N = 3 SE +/- 0.06, 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 +/- 0.02, 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 +/- 0.00, 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 40.71 40.08 38.32 33.35 29.84 24.53 23.73 20.54 20.03 18.38 17.22 16.99 16.90 16.50 16.49 15.78 14.42 14.31 13.50 13.37 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7F52 EPYC 7402P EPYC 7452 EPYC 7F72 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 8 16 24 32 40 Min: 40.67 / Avg: 40.71 / Max: 40.8 Min: 40.02 / Avg: 40.08 / Max: 40.19 Min: 38.3 / Avg: 38.32 / Max: 38.35 Min: 33.34 / Avg: 33.35 / Max: 33.36 Min: 29.81 / Avg: 29.84 / Max: 29.87 Min: 24.5 / Avg: 24.53 / Max: 24.55 Min: 23.7 / Avg: 23.73 / Max: 23.74 Min: 20.5 / Avg: 20.54 / Max: 20.56 Min: 20.02 / Avg: 20.03 / Max: 20.05 Min: 18.34 / Avg: 18.38 / Max: 18.4 Min: 17.21 / Avg: 17.22 / Max: 17.23 Min: 16.98 / Avg: 16.99 / Max: 17 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: 15.75 / Avg: 15.78 / Max: 15.83 Min: 14.38 / Avg: 14.42 / Max: 14.46 Min: 14.28 / Avg: 14.31 / Max: 14.35 Min: 13.48 / Avg: 13.5 / Max: 13.52 Min: 13.37 / Avg: 13.37 / Max: 13.38 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7F52 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7702 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 3 6 9 12 15 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 +/- 0.01, 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 +/- 0.02, 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 +/- 0.02, N = 3 4.34 4.38 4.63 5.30 5.79 7.70 8.19 8.34 9.24 9.62 11.25 11.50 11.98 12.08 12.45 12.59 12.64 12.83 13.16 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7F52 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7702 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 4 8 12 16 20 Min: 4.33 / Avg: 4.34 / Max: 4.35 Min: 4.37 / Avg: 4.38 / Max: 4.38 Min: 4.62 / Avg: 4.63 / Max: 4.63 Min: 5.28 / Avg: 5.3 / Max: 5.31 Min: 5.79 / Avg: 5.79 / Max: 5.8 Min: 7.68 / Avg: 7.7 / Max: 7.72 Min: 8.17 / Avg: 8.19 / Max: 8.21 Min: 8.33 / Avg: 8.34 / Max: 8.34 Min: 9.22 / Avg: 9.24 / Max: 9.25 Min: 9.61 / Avg: 9.62 / Max: 9.63 Min: 11.24 / Avg: 11.25 / Max: 11.27 Min: 11.49 / Avg: 11.5 / Max: 11.51 Min: 11.94 / Avg: 11.98 / Max: 12.02 Min: 12.06 / Avg: 12.08 / Max: 12.1 Min: 12.42 / Avg: 12.45 / Max: 12.49 Min: 12.58 / Avg: 12.59 / Max: 12.6 Min: 12.59 / Avg: 12.64 / Max: 12.67 Min: 12.81 / Avg: 12.83 / Max: 12.86 Min: 13.12 / Avg: 13.16 / Max: 13.18 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7F52 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7702 EPYC 7552 EPYC 7542 EPYC 7642 EPYC 7662 3 6 9 12 15 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 +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 4.41 4.46 4.71 5.41 5.91 7.84 8.34 8.51 9.37 9.78 11.44 11.70 12.22 12.24 12.63 12.80 12.83 13.04 13.35 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7F52 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7702 EPYC 7552 EPYC 7542 EPYC 7642 EPYC 7662 4 8 12 16 20 Min: 4.41 / Avg: 4.41 / Max: 4.42 Min: 4.45 / Avg: 4.46 / Max: 4.47 Min: 4.7 / Avg: 4.71 / Max: 4.72 Min: 5.4 / Avg: 5.41 / Max: 5.42 Min: 5.9 / Avg: 5.91 / Max: 5.91 Min: 7.81 / Avg: 7.84 / Max: 7.86 Min: 8.31 / Avg: 8.34 / Max: 8.36 Min: 8.5 / Avg: 8.51 / Max: 8.51 Min: 9.34 / Avg: 9.37 / Max: 9.4 Min: 9.77 / Avg: 9.78 / Max: 9.81 Min: 11.41 / Avg: 11.44 / Max: 11.45 Min: 11.68 / Avg: 11.7 / Max: 11.71 Min: 12.2 / Avg: 12.22 / Max: 12.24 Min: 12.21 / Avg: 12.24 / Max: 12.26 Min: 12.62 / Avg: 12.63 / Max: 12.63 Min: 12.76 / Avg: 12.8 / Max: 12.85 Min: 12.82 / Avg: 12.83 / Max: 12.84 Min: 13.02 / Avg: 13.04 / Max: 13.05 Min: 13.34 / Avg: 13.35 / Max: 13.38 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7272 EPYC 7552 EPYC 7642 EPYC 7282 EPYC 7352 EPYC 7302P EPYC 7402P EPYC 7F52 EPYC 7452 EPYC 7F72 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 0.7973 1.5946 2.3919 3.1892 3.9865 SE +/- 0.00803, N = 3 SE +/- 0.01156, N = 3 SE +/- 0.01144, N = 3 SE +/- 0.01854, N = 3 SE +/- 0.03257, N = 3 SE +/- 0.01389, N = 3 SE +/- 0.02463, N = 3 SE +/- 0.01138, N = 3 SE +/- 0.01158, N = 3 SE +/- 0.00586, N = 3 SE +/- 0.01559, N = 3 SE +/- 0.00075, N = 3 SE +/- 0.01782, N = 3 SE +/- 0.00098, N = 3 SE +/- 0.00983, N = 3 SE +/- 0.00044, N = 3 SE +/- 0.01751, N = 5 SE +/- 0.01607, N = 3 SE +/- 0.00299, N = 3 SE +/- 0.00451, N = 3 3.54349 3.52616 3.16012 2.99726 2.96316 2.67161 2.64623 2.28719 2.18140 1.81722 1.74833 1.71797 1.52009 1.49718 1.37066 1.32784 1.30689 1.22438 1.17917 1.17179 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7272 EPYC 7552 EPYC 7642 EPYC 7282 EPYC 7352 EPYC 7302P EPYC 7402P EPYC 7F52 EPYC 7452 EPYC 7F72 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7542 2 4 6 8 10 Min: 3.53 / Avg: 3.54 / Max: 3.56 Min: 3.51 / Avg: 3.53 / Max: 3.55 Min: 3.14 / Avg: 3.16 / Max: 3.18 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: 2.62 / Avg: 2.65 / Max: 2.7 Min: 2.27 / Avg: 2.29 / Max: 2.31 Min: 2.16 / Avg: 2.18 / Max: 2.2 Min: 1.81 / Avg: 1.82 / Max: 1.83 Min: 1.72 / Avg: 1.75 / Max: 1.78 Min: 1.72 / Avg: 1.72 / Max: 1.72 Min: 1.49 / Avg: 1.52 / Max: 1.55 Min: 1.5 / Avg: 1.5 / Max: 1.5 Min: 1.35 / Avg: 1.37 / Max: 1.38 Min: 1.33 / Avg: 1.33 / Max: 1.33 Min: 1.28 / Avg: 1.31 / Max: 1.38 Min: 1.19 / Avg: 1.22 / Max: 1.25 Min: 1.17 / Avg: 1.18 / Max: 1.18 Min: 1.17 / Avg: 1.17 / Max: 1.18 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 7232P EPYC 7352 EPYC 7272 EPYC 7282 EPYC 7252 EPYC 7302P EPYC 7502P EPYC 7402P EPYC 7502 EPYC 7452 EPYC 7542 EPYC 7262 EPYC 7552 EPYC 7F32 EPYC 7F52 EPYC 7532 EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7F72 14 28 42 56 70 62.97 60.38 59.08 58.54 58.26 57.12 56.92 56.73 56.55 56.48 56.03 55.58 54.09 51.00 50.45 45.33 34.89 33.11 32.97 20.97
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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7F72 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 70 140 210 280 350 SE +/- 0.00, N = 15 SE +/- 0.00, N = 15 SE +/- 0.00, N = 15 SE +/- 0.00, N = 12 SE +/- 4.54, N = 15 SE +/- 9.36, N = 12 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 111.11 111.11 111.11 125.00 166.67 200.00 200.00 243.00 250.00 250.00 250.00 250.00 250.00 250.00 250.00 319.44 333.33 333.33 333.33 333.33
Result Confidence
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: Magnetic Reconnection - Renderer: Path Tracer EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7F72 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 60 120 180 240 300 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 Min: 166.67 / Avg: 166.67 / Max: 166.67 Min: 200 / Avg: 243.33 / Max: 250 Min: 250 / Avg: 319.44 / 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: 333.33 / Avg: 333.33 / Max: 333.33
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 7262 EPYC 7252 EPYC 7232P EPYC 7F32 EPYC 7272 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7352 EPYC 7F72 EPYC 7532 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7702 EPYC 7542 EPYC 7642 EPYC 7552 EPYC 7662 40 80 120 160 200 SE +/- 3.20, N = 3 SE +/- 1.77, N = 3 SE +/- 1.26, N = 3 SE +/- 2.84, N = 3 SE +/- 1.31, N = 3 SE +/- 1.42, N = 3 SE +/- 1.77, N = 3 SE +/- 0.72, N = 3 SE +/- 0.34, N = 3 SE +/- 0.24, N = 3 SE +/- 0.28, N = 3 SE +/- 1.36, N = 3 SE +/- 0.64, N = 3 SE +/- 1.21, N = 3 SE +/- 1.00, N = 3 SE +/- 0.37, N = 3 SE +/- 0.83, N = 3 SE +/- 0.89, N = 5 SE +/- 1.11, N = 3 SE +/- 0.73, N = 7 193.75 191.40 186.60 171.15 133.27 127.78 112.44 103.64 90.57 84.24 84.19 82.57 76.33 70.38 69.77 69.08 67.57 67.48 65.39 65.13 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 7262 EPYC 7252 EPYC 7232P EPYC 7F32 EPYC 7272 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7352 EPYC 7F72 EPYC 7532 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7702 EPYC 7542 EPYC 7642 EPYC 7552 EPYC 7662 40 80 120 160 200 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 Min: 167.3 / Avg: 171.15 / Max: 176.69 Min: 130.66 / Avg: 133.27 / Max: 134.78 Min: 125.05 / Avg: 127.78 / Max: 129.85 Min: 108.9 / Avg: 112.44 / Max: 114.31 Min: 102.22 / Avg: 103.64 / Max: 104.57 Min: 90.16 / Avg: 90.57 / Max: 91.26 Min: 83.83 / Avg: 84.24 / Max: 84.64 Min: 83.84 / Avg: 84.19 / Max: 84.75 Min: 80.22 / Avg: 82.57 / Max: 84.93 Min: 75.06 / Avg: 76.33 / Max: 77.02 Min: 67.97 / Avg: 70.38 / Max: 71.8 Min: 68.75 / Avg: 69.77 / Max: 71.77 Min: 68.68 / Avg: 69.08 / Max: 69.82 Min: 65.98 / Avg: 67.57 / Max: 68.77 Min: 64.99 / Avg: 67.48 / Max: 69.65 Min: 63.33 / Avg: 65.39 / Max: 67.14 Min: 61.91 / Avg: 65.13 / Max: 67.08 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7502 EPYC 7452 EPYC 7542 EPYC 7502P EPYC 7F72 EPYC 7552 EPYC 7702 EPYC 7662 EPYC 7532 EPYC 7642 1.4M 2.8M 4.2M 5.6M 7M SE +/- 3427.00, N = 3 SE +/- 6821.32, N = 3 SE +/- 9065.81, N = 3 SE +/- 1809.82, N = 3 SE +/- 4275.20, N = 3 SE +/- 4822.94, N = 3 SE +/- 15658.57, N = 3 SE +/- 8758.84, N = 3 SE +/- 74928.50, N = 3 SE +/- 12295.11, N = 3 SE +/- 11686.42, N = 3 SE +/- 10150.69, N = 3 SE +/- 1352.61, N = 3 SE +/- 1381.63, N = 3 SE +/- 11987.30, N = 3 SE +/- 2161.64, N = 3 SE +/- 4550.43, N = 3 SE +/- 11017.89, N = 3 SE +/- 3392.60, N = 3 SE +/- 10391.88, N = 3 2140186 2195652 2247000 2378481 3228017 4070067 4271821 4585335 5195397 5371013 5522472 5532974 5550661 5568287 5843383 6164612 6215179 6231095 6307291 6324546 1. (CC) gcc options: -std=gnu99 -fopenmp -O3 -lm
Result Confidence
OpenBenchmarking.org Lookups/s, More Is Better Xsbench 2017-07-06 EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7502 EPYC 7452 EPYC 7542 EPYC 7502P EPYC 7F72 EPYC 7552 EPYC 7702 EPYC 7662 EPYC 7532 EPYC 7642 1.1M 2.2M 3.3M 4.4M 5.5M Min: 2134305 / Avg: 2140185.67 / Max: 2146175 Min: 2186761 / Avg: 2195652.33 / Max: 2209059 Min: 2230117 / Avg: 2246999.67 / Max: 2261168 Min: 2375572 / Avg: 2378481.33 / Max: 2381801 Min: 3223580 / Avg: 3228016.67 / Max: 3236565 Min: 4060974 / Avg: 4070067 / Max: 4077401 Min: 4240519 / Avg: 4271821 / Max: 4288315 Min: 4568020 / Avg: 4585334.67 / Max: 4596295 Min: 5045873 / Avg: 5195397 / Max: 5278806 Min: 5346542 / Avg: 5371013 / Max: 5385343 Min: 5499170 / Avg: 5522471.67 / Max: 5535701 Min: 5521561 / Avg: 5532974.33 / Max: 5553221 Min: 5548140 / Avg: 5550661.33 / Max: 5552771 Min: 5566364 / Avg: 5568287 / Max: 5570967 Min: 5819818 / Avg: 5843383 / Max: 5858987 Min: 6161836 / Avg: 6164611.67 / Max: 6168870 Min: 6208570 / Avg: 6215179 / Max: 6223902 Min: 6213281 / Avg: 6231095.33 / Max: 6251235 Min: 6301349 / Avg: 6307291.33 / Max: 6313099 Min: 6311937 / Avg: 6324546 / Max: 6345159 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 7232P EPYC 7702 EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7662 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7F52 EPYC 7552 EPYC 7402P EPYC 7642 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7F72 EPYC 7502P EPYC 7542 400 800 1200 1600 2000 SE +/- 2.33, N = 3 SE +/- 13.30, N = 15 SE +/- 1.53, N = 3 SE +/- 1.86, N = 3 SE +/- 2.08, N = 3 SE +/- 25.93, N = 15 SE +/- 3.33, N = 3 SE +/- 1.00, N = 3 SE +/- 3.61, N = 3 SE +/- 5.00, N = 3 SE +/- 16.76, N = 3 SE +/- 6.08, N = 3 SE +/- 19.81, N = 15 SE +/- 13.45, N = 3 SE +/- 28.17, N = 3 SE +/- 9.67, N = 3 SE +/- 3.76, N = 3 SE +/- 13.35, N = 3 SE +/- 10.58, N = 3 675 741 768 776 878 975 1021 1194 1404 1495 1599 1657 1664 1664 1744 1805 1845 1846 1945 1957 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 7232P EPYC 7702 EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7662 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7F52 EPYC 7552 EPYC 7402P EPYC 7642 EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7F72 EPYC 7502P EPYC 7542 300 600 900 1200 1500 Min: 671 / Avg: 675.33 / Max: 679 Min: 658 / Avg: 740.67 / Max: 849 Min: 766 / Avg: 768 / Max: 771 Min: 774 / Avg: 776.33 / Max: 780 Min: 875 / Avg: 878 / Max: 882 Min: 802 / Avg: 974.87 / Max: 1155 Min: 1191 / Avg: 1194.33 / Max: 1201 Min: 1402 / Avg: 1404 / Max: 1405 Min: 1488 / Avg: 1495 / Max: 1500 Min: 1594 / Avg: 1599 / Max: 1609 Min: 1625 / Avg: 1656.67 / Max: 1682 Min: 1654 / Avg: 1664 / Max: 1675 Min: 1535 / Avg: 1663.87 / Max: 1807 Min: 1728 / Avg: 1744.33 / Max: 1771 Min: 1749 / Avg: 1804.67 / Max: 1840 Min: 1835 / Avg: 1844.67 / Max: 1864 Min: 1839 / Avg: 1845.67 / Max: 1852 Min: 1923 / Avg: 1944.67 / Max: 1969 Min: 1941 / Avg: 1957 / Max: 1977 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 7252 EPYC 7262 EPYC 7232P EPYC 7272 EPYC 7F32 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7702 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7532 EPYC 7452 EPYC 7552 EPYC 7642 EPYC 7502 EPYC 7662 EPYC 7502P EPYC 7542 50K 100K 150K 200K 250K SE +/- 2446.09, N = 3 SE +/- 2475.55, N = 3 SE +/- 894.92, N = 3 SE +/- 1339.85, N = 3 SE +/- 933.85, N = 3 SE +/- 552.61, N = 3 SE +/- 548.31, N = 3 SE +/- 67.65, N = 3 SE +/- 1020.34, N = 3 SE +/- 404.73, N = 3 SE +/- 233.28, N = 3 SE +/- 517.53, N = 3 SE +/- 101.95, N = 3 SE +/- 411.16, N = 3 SE +/- 440.36, N = 3 SE +/- 194.61, N = 3 SE +/- 1070.25, N = 6 SE +/- 457.90, N = 3 SE +/- 1088.69, N = 3 SE +/- 672.62, N = 15 239227.0 218108.0 213852.0 194837.0 187285.0 150797.0 147770.0 127726.0 124043.0 123038.0 106140.0 102435.0 100961.0 96229.2 92446.9 89518.2 88852.0 88189.3 85985.3 83541.0
Result Confidence
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: NASNet Mobile EPYC 7252 EPYC 7262 EPYC 7232P EPYC 7272 EPYC 7F32 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7702 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7532 EPYC 7452 EPYC 7552 EPYC 7642 EPYC 7502 EPYC 7662 EPYC 7502P EPYC 7542 40K 80K 120K 160K 200K Min: 235037 / Avg: 239226.67 / Max: 243509 Min: 215543 / Avg: 218108 / Max: 223058 Min: 212521 / Avg: 213852.33 / Max: 215554 Min: 192157 / Avg: 194836.67 / Max: 196187 Min: 185504 / Avg: 187284.67 / Max: 188663 Min: 150189 / Avg: 150796.67 / Max: 151900 Min: 147190 / Avg: 147770 / Max: 148866 Min: 127593 / Avg: 127725.67 / Max: 127815 Min: 122075 / Avg: 124042.67 / Max: 125495 Min: 122592 / Avg: 123038 / Max: 123846 Min: 105676 / Avg: 106140.33 / Max: 106412 Min: 101409 / Avg: 102434.67 / Max: 103068 Min: 100793 / Avg: 100960.67 / Max: 101145 Min: 95408.3 / Avg: 96229.23 / Max: 96681.1 Min: 91614 / Avg: 92446.87 / Max: 93111.3 Min: 89280.7 / Avg: 89518.2 / Max: 89904 Min: 85098.3 / Avg: 88851.98 / Max: 91485.1 Min: 87277.5 / Avg: 88189.3 / Max: 88719.3 Min: 84090 / Avg: 85985.27 / Max: 87861.2 Min: 79803.3 / Avg: 83541.04 / Max: 88828.7
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 7252 EPYC 7262 EPYC 7232P EPYC 7F32 EPYC 7272 EPYC 7302P EPYC 7282 EPYC 7F52 EPYC 7352 EPYC 7702 EPYC 7402P EPYC 7532 EPYC 7F72 EPYC 7452 EPYC 7642 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7662 EPYC 7552 200 400 600 800 1000 SE +/- 0.93, N = 3 SE +/- 0.72, N = 3 SE +/- 1.15, N = 3 SE +/- 0.46, N = 3 SE +/- 0.52, N = 3 SE +/- 3.78, N = 3 SE +/- 0.93, N = 3 SE +/- 1.41, N = 3 SE +/- 7.21, N = 3 SE +/- 4.75, N = 3 SE +/- 8.62, N = 3 SE +/- 4.59, N = 3 SE +/- 3.68, N = 3 SE +/- 5.12, N = 3 SE +/- 8.34, N = 15 SE +/- 3.71, N = 3 SE +/- 2.26, N = 3 SE +/- 3.81, N = 3 SE +/- 2.19, N = 3 SE +/- 7.28, N = 3 313.26 316.48 335.86 346.00 418.94 562.70 573.75 593.00 601.42 710.07 722.39 734.97 768.16 835.18 851.38 854.03 855.91 857.35 861.61 876.16 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 7252 EPYC 7262 EPYC 7232P EPYC 7F32 EPYC 7272 EPYC 7302P EPYC 7282 EPYC 7F52 EPYC 7352 EPYC 7702 EPYC 7402P EPYC 7532 EPYC 7F72 EPYC 7452 EPYC 7642 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7662 EPYC 7552 150 300 450 600 750 Min: 311.97 / Avg: 313.26 / Max: 315.06 Min: 315.07 / Avg: 316.48 / Max: 317.43 Min: 334.12 / Avg: 335.86 / Max: 338.03 Min: 345.39 / Avg: 346 / Max: 346.9 Min: 418.01 / Avg: 418.94 / Max: 419.82 Min: 555.16 / Avg: 562.7 / Max: 566.8 Min: 572.74 / Avg: 573.75 / Max: 575.61 Min: 590.18 / Avg: 593 / Max: 594.5 Min: 589.76 / Avg: 601.42 / Max: 614.59 Min: 701.61 / Avg: 710.07 / Max: 718.03 Min: 706.02 / Avg: 722.39 / Max: 735.24 Min: 727.27 / Avg: 734.97 / Max: 743.16 Min: 760.8 / Avg: 768.16 / Max: 772.02 Min: 826.38 / Avg: 835.18 / Max: 844.1 Min: 820.21 / Avg: 851.38 / Max: 945 Min: 846.67 / Avg: 854.03 / Max: 858.59 Min: 851.43 / Avg: 855.91 / Max: 858.66 Min: 849.83 / Avg: 857.35 / Max: 862.22 Min: 857.78 / Avg: 861.61 / Max: 865.35 Min: 864.6 / Avg: 876.16 / Max: 889.6 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7F52 EPYC 7402P EPYC 7532 EPYC 7452 EPYC 7502 EPYC 7702 EPYC 7502P EPYC 7662 EPYC 7642 EPYC 7542 EPYC 7552 6 12 18 24 30 SE +/- 0.08, N = 3 SE +/- 0.08, N = 3 SE +/- 0.09, N = 9 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 +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.12, N = 3 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 8.39 8.65 8.80 9.96 15.92 18.55 18.80 20.06 20.63 21.38 21.52 21.72 22.07 22.11 22.28 22.85 22.96 23.10 23.43 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7F52 EPYC 7402P EPYC 7532 EPYC 7452 EPYC 7502 EPYC 7702 EPYC 7502P EPYC 7662 EPYC 7642 EPYC 7542 EPYC 7552 5 10 15 20 25 Min: 8.24 / Avg: 8.39 / Max: 8.53 Min: 8.5 / Avg: 8.65 / Max: 8.76 Min: 8.46 / Avg: 8.8 / Max: 9.28 Min: 9.95 / Avg: 9.96 / Max: 9.98 Min: 15.8 / Avg: 15.92 / Max: 16.02 Min: 18.51 / Avg: 18.55 / Max: 18.58 Min: 18.74 / Avg: 18.8 / Max: 18.89 Min: 20.04 / Avg: 20.06 / Max: 20.07 Min: 20.56 / Avg: 20.63 / Max: 20.74 Min: 21.34 / Avg: 21.38 / Max: 21.41 Min: 21.49 / Avg: 21.52 / Max: 21.55 Min: 21.69 / Avg: 21.72 / Max: 21.76 Min: 22.01 / Avg: 22.07 / Max: 22.13 Min: 22.05 / Avg: 22.11 / Max: 22.22 Min: 22.25 / Avg: 22.28 / Max: 22.3 Min: 22.78 / Avg: 22.85 / Max: 22.97 Min: 22.73 / Avg: 22.96 / Max: 23.08 Min: 23.03 / Avg: 23.1 / Max: 23.2 Min: 23.32 / Avg: 23.43 / Max: 23.57 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 7532 EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7552 EPYC 7502 EPYC 7452 EPYC 7502P EPYC 7262 EPYC 7232P EPYC 7252 EPYC 7F32 EPYC 7272 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7352 EPYC 7542 EPYC 7F72 EPYC 7402P 200K 400K 600K 800K 1000K SE +/- 1164.99, N = 3 SE +/- 202.26, N = 3 SE +/- 320.44, N = 3 SE +/- 386.83, N = 3 SE +/- 161.22, N = 3 SE +/- 920.11, N = 3 SE +/- 346.34, N = 3 SE +/- 416.48, N = 3 SE +/- 6337.53, N = 3 SE +/- 4574.26, N = 3 SE +/- 7046.75, N = 3 SE +/- 5220.90, N = 8 SE +/- 8602.32, N = 3 SE +/- 1524.48, N = 3 SE +/- 9257.15, N = 3 SE +/- 2819.70, N = 3 SE +/- 4423.99, N = 3 SE +/- 40675.14, N = 15 SE +/- 6259.81, N = 11 SE +/- 4315.53, N = 3 283541 284086 297390 298290 310241 328810 335316 358699 456675 464241 469574 506118 574354 590994 627525 640966 673423 674066 712718 787488 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 7532 EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7552 EPYC 7502 EPYC 7452 EPYC 7502P EPYC 7262 EPYC 7232P EPYC 7252 EPYC 7F32 EPYC 7272 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7352 EPYC 7542 EPYC 7F72 EPYC 7402P 140K 280K 420K 560K 700K Min: 282294 / Avg: 283541 / Max: 285869 Min: 283684 / Avg: 284086 / Max: 284326 Min: 297028 / Avg: 297390 / Max: 298029 Min: 297519 / Avg: 298290.33 / Max: 298728 Min: 310045 / Avg: 310241.33 / Max: 310561 Min: 327023 / Avg: 328810 / Max: 330084 Min: 334741 / Avg: 335316 / Max: 335938 Min: 357882 / Avg: 358698.67 / Max: 359249 Min: 448311 / Avg: 456675.33 / Max: 469105 Min: 459420 / Avg: 464241 / Max: 473385 Min: 461485 / Avg: 469573.67 / Max: 483613 Min: 481898 / Avg: 506117.63 / Max: 523042 Min: 558593 / Avg: 574353.67 / Max: 588209 Min: 588002 / Avg: 590994.33 / Max: 592997 Min: 609012 / Avg: 627525 / Max: 636971 Min: 635510 / Avg: 640965.67 / Max: 644930 Min: 664708 / Avg: 673423 / Max: 679104 Min: 381485 / Avg: 674066.47 / Max: 841490 Min: 685758 / Avg: 712718 / Max: 751042 Min: 778964 / Avg: 787487.67 / Max: 792925 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7F32 EPYC 7352 EPYC 7282 EPYC 7302P EPYC 7532 EPYC 7452 EPYC 7402P EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7F52 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 12 24 36 48 60 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.06, N = 3 SE +/- 0.08, N = 3 SE +/- 0.05, N = 3 SE +/- 0.11, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.08, N = 3 SE +/- 0.10, N = 3 SE +/- 0.09, N = 3 SE +/- 0.09, N = 3 SE +/- 0.02, N = 3 18.97 19.08 20.03 21.67 23.16 28.14 28.31 29.30 30.11 30.36 30.60 30.77 30.79 31.94 34.75 44.71 45.08 48.68 51.19 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7F32 EPYC 7352 EPYC 7282 EPYC 7302P EPYC 7532 EPYC 7452 EPYC 7402P EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7F52 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 10 20 30 40 50 Min: 18.96 / Avg: 18.97 / Max: 18.98 Min: 19.05 / Avg: 19.08 / Max: 19.1 Min: 19.98 / Avg: 20.03 / Max: 20.05 Min: 21.62 / Avg: 21.67 / Max: 21.76 Min: 23.11 / Avg: 23.16 / Max: 23.24 Min: 28.04 / Avg: 28.14 / Max: 28.26 Min: 28.2 / Avg: 28.31 / Max: 28.39 Min: 29.22 / Avg: 29.3 / Max: 29.46 Min: 30.01 / Avg: 30.11 / Max: 30.19 Min: 30.21 / Avg: 30.36 / Max: 30.58 Min: 30.52 / Avg: 30.6 / Max: 30.67 Min: 30.69 / Avg: 30.77 / Max: 30.84 Min: 30.69 / Avg: 30.79 / Max: 30.85 Min: 31.87 / Avg: 31.94 / Max: 31.99 Min: 34.58 / Avg: 34.75 / Max: 34.85 Min: 44.52 / Avg: 44.71 / Max: 44.88 Min: 44.9 / Avg: 45.08 / Max: 45.18 Min: 48.49 / Avg: 48.68 / Max: 48.79 Min: 51.16 / Avg: 51.19 / Max: 51.24 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 7262 EPYC 7F32 EPYC 7232P EPYC 7252 EPYC 7F52 EPYC 7302P EPYC 7272 EPYC 7532 EPYC 7F72 EPYC 7352 EPYC 7402P EPYC 7282 EPYC 7452 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7662 4M 8M 12M 16M 20M SE +/- 114237.77, N = 3 SE +/- 98081.03, N = 4 SE +/- 65857.23, N = 3 SE +/- 69777.45, N = 3 SE +/- 92644.45, N = 10 SE +/- 162466.69, N = 3 SE +/- 38085.55, N = 3 SE +/- 181654.19, N = 3 SE +/- 196361.88, N = 3 SE +/- 28849.95, N = 3 SE +/- 36622.92, N = 3 SE +/- 17504.90, N = 3 SE +/- 68594.59, N = 3 SE +/- 31948.05, N = 3 SE +/- 32302.81, N = 3 SE +/- 15756.34, N = 3 SE +/- 82031.38, N = 3 SE +/- 39273.11, N = 3 SE +/- 23882.84, N = 3 SE +/- 8693.64, N = 3 6754401.34 7202954.68 8164377.04 8377375.75 10221764.78 10809670.89 11819767.35 12736083.57 12740323.69 12882446.44 13675041.19 13739556.11 15441087.32 15672529.45 15730105.77 15763728.21 16073708.79 16692287.18 17265800.06 18193151.02 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 7262 EPYC 7F32 EPYC 7232P EPYC 7252 EPYC 7F52 EPYC 7302P EPYC 7272 EPYC 7532 EPYC 7F72 EPYC 7352 EPYC 7402P EPYC 7282 EPYC 7452 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7662 3M 6M 9M 12M 15M Min: 6580428.23 / Avg: 6754401.34 / Max: 6969648.65 Min: 7034313.05 / Avg: 7202954.68 / Max: 7486487.21 Min: 8077208.27 / Avg: 8164377.04 / Max: 8293475.93 Min: 8238743.75 / Avg: 8377375.75 / Max: 8460568.05 Min: 9589426.86 / Avg: 10221764.78 / Max: 10670115.37 Min: 10514108.1 / Avg: 10809670.89 / Max: 11074363.58 Min: 11764168.15 / Avg: 11819767.35 / Max: 11892656.58 Min: 12401795.36 / Avg: 12736083.57 / Max: 13026448.11 Min: 12436522.18 / Avg: 12740323.69 / Max: 13107752.74 Min: 12828493.76 / Avg: 12882446.44 / Max: 12927136.91 Min: 13605012.44 / Avg: 13675041.19 / Max: 13728648.43 Min: 13706010.75 / Avg: 13739556.11 / Max: 13765006.16 Min: 15342013.8 / Avg: 15441087.32 / Max: 15572806.7 Min: 15611649.68 / Avg: 15672529.45 / Max: 15719770.35 Min: 15674170.83 / Avg: 15730105.77 / Max: 15786071.05 Min: 15739230.05 / Avg: 15763728.21 / Max: 15793143.16 Min: 15946178.31 / Avg: 16073708.79 / Max: 16226857.62 Min: 16641022.42 / Avg: 16692287.18 / Max: 16769456.69 Min: 17223160.56 / Avg: 17265800.06 / Max: 17305763.18 Min: 18175867.8 / Avg: 18193151.02 / Max: 18203437.54 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7F32 EPYC 7282 EPYC 7352 EPYC 7302P EPYC 7532 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7F52 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 11 22 33 44 55 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 +/- 0.06, N = 3 SE +/- 0.08, N = 3 SE +/- 0.07, N = 3 SE +/- 0.04, N = 3 SE +/- 0.09, N = 3 SE +/- 0.09, N = 3 SE +/- 0.11, N = 3 SE +/- 0.06, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.24, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.16, N = 3 18.53 18.66 19.57 21.08 22.67 27.54 27.59 28.57 29.54 29.73 29.74 29.97 29.99 31.27 34.03 43.98 44.54 47.41 49.80 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7F32 EPYC 7282 EPYC 7352 EPYC 7302P EPYC 7532 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7F52 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 10 20 30 40 50 Min: 18.5 / Avg: 18.53 / Max: 18.57 Min: 18.61 / Avg: 18.66 / Max: 18.69 Min: 19.54 / Avg: 19.57 / Max: 19.6 Min: 21.06 / Avg: 21.08 / Max: 21.11 Min: 22.59 / Avg: 22.67 / Max: 22.72 Min: 27.47 / Avg: 27.54 / Max: 27.66 Min: 27.43 / Avg: 27.59 / Max: 27.68 Min: 28.43 / Avg: 28.57 / Max: 28.66 Min: 29.47 / Avg: 29.54 / Max: 29.59 Min: 29.56 / Avg: 29.73 / Max: 29.85 Min: 29.56 / Avg: 29.74 / Max: 29.85 Min: 29.8 / Avg: 29.97 / Max: 30.19 Min: 29.88 / Avg: 29.99 / Max: 30.06 Min: 31.18 / Avg: 31.27 / Max: 31.41 Min: 33.98 / Avg: 34.03 / Max: 34.08 Min: 43.56 / Avg: 43.98 / Max: 44.38 Min: 44.44 / Avg: 44.54 / Max: 44.67 Min: 47.35 / Avg: 47.41 / Max: 47.45 Min: 49.51 / Avg: 49.8 / Max: 50.07 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 7642 EPYC 7532 EPYC 7702 EPYC 7552 EPYC 7662 EPYC 7502 EPYC 7452 EPYC 7502P EPYC 7542 EPYC 7232P EPYC 7262 EPYC 7252 EPYC 7F32 EPYC 7272 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7352 EPYC 7F72 EPYC 7402P 150K 300K 450K 600K 750K SE +/- 410.21, N = 3 SE +/- 2603.10, N = 10 SE +/- 693.28, N = 3 SE +/- 205.06, N = 3 SE +/- 624.03, N = 3 SE +/- 310.98, N = 3 SE +/- 1199.71, N = 3 SE +/- 1228.44, N = 3 SE +/- 705.84, N = 3 SE +/- 3588.14, N = 3 SE +/- 1554.64, N = 3 SE +/- 1807.12, N = 3 SE +/- 827.11, N = 3 SE +/- 1413.92, N = 3 SE +/- 6470.90, N = 15 SE +/- 7847.93, N = 3 SE +/- 5123.67, N = 15 SE +/- 10655.38, N = 3 SE +/- 9089.41, N = 3 SE +/- 9550.05, N = 3 275661 276010 289090 305816 307654 318064 321871 345292 367451 422947 425849 433814 463786 535050 580827 585939 627896 654062 686461 717525 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 7642 EPYC 7532 EPYC 7702 EPYC 7552 EPYC 7662 EPYC 7502 EPYC 7452 EPYC 7502P EPYC 7542 EPYC 7232P EPYC 7262 EPYC 7252 EPYC 7F32 EPYC 7272 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7352 EPYC 7F72 EPYC 7402P 120K 240K 360K 480K 600K Min: 274953 / Avg: 275661.33 / Max: 276374 Min: 269185 / Avg: 276009.6 / Max: 288606 Min: 287733 / Avg: 289089.67 / Max: 290016 Min: 305412 / Avg: 305816.33 / Max: 306078 Min: 306827 / Avg: 307654 / Max: 308877 Min: 317495 / Avg: 318064 / Max: 318566 Min: 320633 / Avg: 321871 / Max: 324270 Min: 343235 / Avg: 345292 / Max: 347484 Min: 366463 / Avg: 367450.67 / Max: 368818 Min: 418463 / Avg: 422946.67 / Max: 430041 Min: 423929 / Avg: 425849 / Max: 428927 Min: 431309 / Avg: 433814.33 / Max: 437323 Min: 462912 / Avg: 463785.67 / Max: 465439 Min: 532574 / Avg: 535050.33 / Max: 537471 Min: 542172 / Avg: 580827.13 / Max: 616282 Min: 576271 / Avg: 585938.67 / Max: 601481 Min: 603579 / Avg: 627896.27 / Max: 685131 Min: 632768 / Avg: 654062 / Max: 665441 Min: 674470 / Avg: 686460.67 / Max: 704289 Min: 705450 / Avg: 717525.33 / Max: 736379 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 7262 EPYC 7252 EPYC 7F32 EPYC 7232P EPYC 7F52 EPYC 7272 EPYC 7F72 EPYC 7302P EPYC 7532 EPYC 7352 EPYC 7282 EPYC 7402P EPYC 7642 EPYC 7452 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7552 EPYC 7662 EPYC 7702 5 10 15 20 25 SE +/- 0.012, N = 3 SE +/- 0.062, N = 3 SE +/- 0.028, N = 3 SE +/- 0.098, N = 3 SE +/- 0.215, N = 3 SE +/- 0.080, N = 3 SE +/- 0.078, N = 3 SE +/- 0.225, N = 15 SE +/- 0.423, N = 15 SE +/- 0.011, N = 3 SE +/- 0.093, N = 3 SE +/- 0.033, N = 3 SE +/- 0.008, N = 3 SE +/- 0.003, N = 3 SE +/- 0.023, N = 3 SE +/- 0.010, N = 3 SE +/- 0.243, N = 12 SE +/- 0.038, N = 3 SE +/- 0.018, N = 3 SE +/- 0.008, N = 3 20.129 19.044 18.899 18.871 17.374 15.471 14.781 14.751 14.081 13.752 13.495 13.439 13.241 12.750 12.672 12.631 12.391 12.138 11.090 7.859 1. (CXX) g++ options: -fopenmp -O3
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Smallpt 1.0 Global Illumination Renderer; 128 Samples EPYC 7262 EPYC 7252 EPYC 7F32 EPYC 7232P EPYC 7F52 EPYC 7272 EPYC 7F72 EPYC 7302P EPYC 7532 EPYC 7352 EPYC 7282 EPYC 7402P EPYC 7642 EPYC 7452 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7552 EPYC 7662 EPYC 7702 5 10 15 20 25 Min: 20.11 / Avg: 20.13 / Max: 20.15 Min: 18.92 / Avg: 19.04 / Max: 19.11 Min: 18.84 / Avg: 18.9 / Max: 18.93 Min: 18.73 / Avg: 18.87 / Max: 19.06 Min: 16.95 / Avg: 17.37 / Max: 17.59 Min: 15.31 / Avg: 15.47 / Max: 15.56 Min: 14.69 / Avg: 14.78 / Max: 14.94 Min: 12.55 / Avg: 14.75 / Max: 15.22 Min: 10.76 / Avg: 14.08 / Max: 14.97 Min: 13.74 / Avg: 13.75 / Max: 13.77 Min: 13.39 / Avg: 13.5 / Max: 13.68 Min: 13.4 / Avg: 13.44 / Max: 13.5 Min: 13.23 / Avg: 13.24 / Max: 13.26 Min: 12.74 / Avg: 12.75 / Max: 12.75 Min: 12.64 / Avg: 12.67 / Max: 12.72 Min: 12.62 / Avg: 12.63 / Max: 12.65 Min: 9.72 / Avg: 12.39 / Max: 12.67 Min: 12.06 / Avg: 12.14 / Max: 12.18 Min: 11.05 / Avg: 11.09 / Max: 11.12 Min: 7.85 / Avg: 7.86 / Max: 7.87 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7F32 EPYC 7352 EPYC 7532 EPYC 7452 EPYC 7282 EPYC 7302P EPYC 7502P EPYC 7502 EPYC 7402P EPYC 7542 EPYC 7F52 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 20 40 60 80 100 SE +/- 0.10, N = 3 SE +/- 0.01, N = 3 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.09, N = 3 SE +/- 0.16, N = 3 SE +/- 0.19, N = 3 SE +/- 0.20, N = 3 SE +/- 0.17, N = 3 SE +/- 0.21, N = 3 SE +/- 0.21, N = 3 SE +/- 0.09, N = 3 SE +/- 0.05, N = 3 SE +/- 0.33, N = 3 SE +/- 0.27, N = 3 SE +/- 0.21, N = 3 SE +/- 0.12, N = 3 SE +/- 0.41, N = 3 SE +/- 0.34, N = 3 43.20 43.46 44.95 46.93 52.60 60.11 61.32 61.50 61.84 62.00 62.57 62.73 65.37 66.17 67.24 96.32 98.47 107.99 109.17 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7F32 EPYC 7352 EPYC 7532 EPYC 7452 EPYC 7282 EPYC 7302P EPYC 7502P EPYC 7502 EPYC 7402P EPYC 7542 EPYC 7F52 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 20 40 60 80 100 Min: 43.05 / Avg: 43.2 / Max: 43.38 Min: 43.44 / Avg: 43.46 / Max: 43.48 Min: 44.86 / Avg: 44.95 / Max: 45.09 Min: 46.83 / Avg: 46.93 / Max: 46.99 Min: 52.46 / Avg: 52.6 / Max: 52.77 Min: 59.79 / Avg: 60.11 / Max: 60.31 Min: 60.96 / Avg: 61.32 / Max: 61.6 Min: 61.15 / Avg: 61.5 / Max: 61.83 Min: 61.65 / Avg: 61.84 / Max: 62.19 Min: 61.62 / Avg: 62 / Max: 62.36 Min: 62.36 / Avg: 62.57 / Max: 62.98 Min: 62.6 / Avg: 62.73 / Max: 62.91 Min: 65.28 / Avg: 65.37 / Max: 65.44 Min: 65.63 / Avg: 66.17 / Max: 66.76 Min: 66.7 / Avg: 67.24 / Max: 67.55 Min: 96.05 / Avg: 96.32 / Max: 96.73 Min: 98.24 / Avg: 98.47 / Max: 98.62 Min: 107.18 / Avg: 107.99 / Max: 108.5 Min: 108.49 / Avg: 109.17 / Max: 109.57 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7702 EPYC 7662 EPYC 7452 EPYC 7502 EPYC 7532 EPYC 7552 EPYC 7502P EPYC 7642 EPYC 7402P EPYC 7F52 EPYC 7542 EPYC 7F72 40 80 120 160 200 SE +/- 0.41, N = 3 SE +/- 0.38, N = 3 SE +/- 1.00, N = 3 SE +/- 0.70, N = 3 SE +/- 1.66, N = 3 SE +/- 1.76, N = 3 SE +/- 1.17, N = 3 SE +/- 0.99, N = 3 SE +/- 2.22, N = 3 SE +/- 1.79, N = 3 SE +/- 1.97, N = 3 SE +/- 2.18, N = 3 SE +/- 1.38, N = 3 SE +/- 1.03, N = 3 SE +/- 1.50, N = 3 SE +/- 2.06, N = 3 SE +/- 2.39, N = 3 SE +/- 2.17, N = 3 SE +/- 2.67, N = 3 SE +/- 1.33, N = 3 71.60 71.66 77.48 89.29 105.52 118.48 126.75 137.58 140.35 141.18 143.59 144.44 144.57 144.71 145.72 148.99 150.81 158.53 159.20 177.12 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7702 EPYC 7662 EPYC 7452 EPYC 7502 EPYC 7532 EPYC 7552 EPYC 7502P EPYC 7642 EPYC 7402P EPYC 7F52 EPYC 7542 EPYC 7F72 30 60 90 120 150 Min: 70.79 / Avg: 71.6 / Max: 72.07 Min: 70.9 / Avg: 71.66 / Max: 72.05 Min: 75.5 / Avg: 77.48 / Max: 78.71 Min: 88.14 / Avg: 89.29 / Max: 90.57 Min: 102.21 / Avg: 105.52 / Max: 107.38 Min: 114.97 / Avg: 118.48 / Max: 120.28 Min: 124.48 / Avg: 126.75 / Max: 128.36 Min: 135.61 / Avg: 137.58 / Max: 138.59 Min: 135.93 / Avg: 140.35 / Max: 143 Min: 137.66 / Avg: 141.18 / Max: 143.49 Min: 140.36 / Avg: 143.59 / Max: 147.17 Min: 140.1 / Avg: 144.44 / Max: 146.97 Min: 141.86 / Avg: 144.57 / Max: 146.42 Min: 142.68 / Avg: 144.71 / Max: 145.98 Min: 142.97 / Avg: 145.72 / Max: 148.13 Min: 145.83 / Avg: 148.99 / Max: 152.86 Min: 146.07 / Avg: 150.81 / Max: 153.76 Min: 154.64 / Avg: 158.53 / Max: 162.16 Min: 153.88 / Avg: 159.2 / Max: 162.17 Min: 174.45 / Avg: 177.12 / Max: 178.56 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7F32 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7352 EPYC 7532 EPYC 7452 EPYC 7402P EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 40 80 120 160 200 SE +/- 0.19, N = 3 SE +/- 0.36, N = 3 SE +/- 0.15, N = 3 SE +/- 0.33, N = 3 SE +/- 0.59, N = 3 SE +/- 0.51, N = 3 SE +/- 0.22, N = 3 SE +/- 0.51, N = 3 SE +/- 0.21, N = 3 SE +/- 0.40, N = 3 SE +/- 0.04, N = 3 SE +/- 0.17, N = 3 SE +/- 0.21, N = 3 SE +/- 0.17, N = 3 SE +/- 0.28, N = 3 SE +/- 1.18, N = 3 SE +/- 0.42, N = 3 SE +/- 1.40, N = 3 SE +/- 1.31, N = 3 77.76 78.65 79.82 86.94 93.41 104.22 105.75 107.66 109.29 113.40 115.55 117.43 118.13 118.75 124.64 170.06 171.94 189.55 191.27 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7F32 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7352 EPYC 7532 EPYC 7452 EPYC 7402P EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 40 80 120 160 200 Min: 77.38 / Avg: 77.76 / Max: 77.98 Min: 78.25 / Avg: 78.65 / Max: 79.37 Min: 79.53 / Avg: 79.82 / Max: 80.04 Min: 86.56 / Avg: 86.94 / Max: 87.6 Min: 92.24 / Avg: 93.41 / Max: 94.08 Min: 103.22 / Avg: 104.22 / Max: 104.87 Min: 105.49 / Avg: 105.75 / Max: 106.19 Min: 106.77 / Avg: 107.66 / Max: 108.55 Min: 108.92 / Avg: 109.29 / Max: 109.66 Min: 112.95 / Avg: 113.4 / Max: 114.21 Min: 115.5 / Avg: 115.55 / Max: 115.63 Min: 117.12 / Avg: 117.43 / Max: 117.72 Min: 117.77 / Avg: 118.13 / Max: 118.5 Min: 118.41 / Avg: 118.75 / Max: 118.92 Min: 124.22 / Avg: 124.64 / Max: 125.16 Min: 167.84 / Avg: 170.06 / Max: 171.84 Min: 171.12 / Avg: 171.94 / Max: 172.47 Min: 187.98 / Avg: 189.55 / Max: 192.35 Min: 189.77 / Avg: 191.27 / Max: 193.89 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 7262 EPYC 7F32 EPYC 7232P EPYC 7252 EPYC 7272 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7532 EPYC 7452 EPYC 7502 EPYC 7542 EPYC 7502P EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7662 200 400 600 800 1000 SE +/- 0.17, N = 3 SE +/- 0.38, N = 3 SE +/- 0.74, N = 3 SE +/- 1.03, N = 3 SE +/- 0.96, N = 3 SE +/- 0.53, N = 3 SE +/- 0.52, N = 3 SE +/- 1.22, N = 3 SE +/- 0.04, N = 3 SE +/- 0.30, N = 3 SE +/- 0.34, N = 3 SE +/- 1.30, N = 3 SE +/- 0.56, N = 3 SE +/- 0.51, N = 3 SE +/- 0.23, N = 3 SE +/- 0.10, N = 3 SE +/- 0.40, N = 3 SE +/- 0.94, N = 3 SE +/- 0.42, N = 3 SE +/- 1.72, N = 3 402.93 435.36 442.13 442.25 600.90 644.30 649.31 695.56 707.49 739.98 746.29 792.81 823.81 833.75 836.01 840.30 858.84 872.77 983.70 986.80 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 7262 EPYC 7F32 EPYC 7232P EPYC 7252 EPYC 7272 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7532 EPYC 7452 EPYC 7502 EPYC 7542 EPYC 7502P EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7662 200 400 600 800 1000 Min: 402.6 / Avg: 402.93 / Max: 403.13 Min: 434.92 / Avg: 435.36 / Max: 436.11 Min: 441.37 / Avg: 442.13 / Max: 443.6 Min: 440.2 / Avg: 442.25 / Max: 443.38 Min: 599.4 / Avg: 600.9 / Max: 602.68 Min: 643.63 / Avg: 644.3 / Max: 645.36 Min: 648.31 / Avg: 649.31 / Max: 650.07 Min: 693.24 / Avg: 695.56 / Max: 697.37 Min: 707.4 / Avg: 707.49 / Max: 707.54 Min: 739.39 / Avg: 739.98 / Max: 740.39 Min: 745.85 / Avg: 746.29 / Max: 746.96 Min: 790.21 / Avg: 792.81 / Max: 794.15 Min: 823.23 / Avg: 823.81 / Max: 824.93 Min: 832.87 / Avg: 833.75 / Max: 834.62 Min: 835.58 / Avg: 836.01 / Max: 836.35 Min: 840.11 / Avg: 840.3 / Max: 840.42 Min: 858.1 / Avg: 858.84 / Max: 859.49 Min: 870.9 / Avg: 872.77 / Max: 873.71 Min: 983.26 / Avg: 983.7 / Max: 984.54 Min: 983.37 / Avg: 986.8 / Max: 988.57 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7542 EPYC 7502P EPYC 7F72 EPYC 7F52 EPYC 7532 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 1200 2400 3600 4800 6000 SE +/- 15.38, N = 15 SE +/- 21.10, N = 15 SE +/- 21.26, N = 15 SE +/- 25.93, N = 15 SE +/- 24.67, N = 3 SE +/- 7.84, N = 15 SE +/- 34.25, N = 3 SE +/- 22.72, N = 3 SE +/- 0.00, N = 3 SE +/- 6.40, N = 15 SE +/- 24.25, N = 3 SE +/- 11.78, N = 15 SE +/- 9.17, N = 15 SE +/- 27.80, N = 3 SE +/- 0.00, N = 3 SE +/- 56.08, N = 15 SE +/- 17.18, N = 15 SE +/- 50.20, N = 2 SE +/- 71.03, N = 3 SE +/- 95.65, N = 3 2210.52 2287.55 2350.73 2552.56 2735.95 2859.17 3974.56 4249.01 4294.45 4355.46 4389.10 4394.11 4413.35 4726.77 4754.57 4815.11 4853.63 5170.51 5291.74 5400.50 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7542 EPYC 7502P EPYC 7F72 EPYC 7F52 EPYC 7532 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 900 1800 2700 3600 4500 Min: 2080.12 / Avg: 2210.52 / Max: 2256.41 Min: 2182.43 / Avg: 2287.55 / Max: 2377.29 Min: 2130.05 / Avg: 2350.73 / Max: 2511.85 Min: 2315.27 / Avg: 2552.56 / Max: 2689.45 Min: 2689.45 / Avg: 2735.95 / Max: 2773.5 Min: 2802.69 / Avg: 2859.17 / Max: 2894.09 Min: 3915.53 / Avg: 3974.56 / Max: 4034.18 Min: 4226.29 / Avg: 4249.01 / Max: 4294.45 Min: 4294.45 / Avg: 4294.45 / Max: 4294.45 Min: 4294.45 / Avg: 4355.46 / Max: 4364.85 Min: 4364.85 / Avg: 4389.1 / Max: 4437.6 Min: 4294.45 / Avg: 4394.11 / Max: 4437.6 Min: 4364.85 / Avg: 4413.35 / Max: 4437.6 Min: 4671.16 / Avg: 4726.77 / Max: 4754.57 Min: 4754.57 / Avg: 4754.57 / Max: 4754.57 Min: 4512.81 / Avg: 4815.11 / Max: 5220.71 Min: 4754.57 / Avg: 4853.63 / Max: 5023.7 Min: 5120.31 / Avg: 5170.51 / Max: 5220.71 Min: 5220.71 / Avg: 5291.74 / Max: 5433.8 Min: 5220.71 / Avg: 5400.5 / Max: 5547 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7662 EPYC 7702 EPYC 7352 EPYC 7F52 EPYC 7642 EPYC 7552 EPYC 7402P EPYC 7F72 EPYC 7532 EPYC 7452 EPYC 7502P EPYC 7502 EPYC 7542 1.3392 2.6784 4.0176 5.3568 6.696 SE +/- 0.032, N = 3 SE +/- 0.017, N = 3 SE +/- 0.015, N = 3 SE +/- 0.015, N = 3 SE +/- 0.010, N = 3 SE +/- 0.006, N = 3 SE +/- 0.006, N = 3 SE +/- 0.042, N = 4 SE +/- 0.032, N = 3 SE +/- 0.018, N = 3 SE +/- 0.008, N = 3 SE +/- 0.043, N = 3 SE +/- 0.041, N = 15 SE +/- 0.005, N = 3 SE +/- 0.014, N = 3 SE +/- 0.013, N = 3 SE +/- 0.023, N = 3 SE +/- 0.015, N = 3 SE +/- 0.005, N = 3 SE +/- 0.020, N = 3 5.952 5.917 5.326 4.820 4.428 3.540 3.292 3.216 3.190 2.981 2.907 2.891 2.805 2.699 2.612 2.607 2.554 2.503 2.486 2.438
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Darktable 3.2.1 Test: Masskrug - Acceleration: CPU-only EPYC 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7662 EPYC 7702 EPYC 7352 EPYC 7F52 EPYC 7642 EPYC 7552 EPYC 7402P EPYC 7F72 EPYC 7532 EPYC 7452 EPYC 7502P EPYC 7502 EPYC 7542 2 4 6 8 10 Min: 5.9 / Avg: 5.95 / Max: 6.01 Min: 5.88 / Avg: 5.92 / Max: 5.94 Min: 5.3 / Avg: 5.33 / Max: 5.35 Min: 4.8 / Avg: 4.82 / Max: 4.85 Min: 4.42 / Avg: 4.43 / Max: 4.45 Min: 3.53 / Avg: 3.54 / Max: 3.55 Min: 3.28 / Avg: 3.29 / Max: 3.3 Min: 3.11 / Avg: 3.22 / Max: 3.31 Min: 3.13 / Avg: 3.19 / Max: 3.24 Min: 2.95 / Avg: 2.98 / Max: 3.01 Min: 2.89 / Avg: 2.91 / Max: 2.92 Min: 2.82 / Avg: 2.89 / Max: 2.97 Min: 2.39 / Avg: 2.8 / Max: 2.98 Min: 2.69 / Avg: 2.7 / Max: 2.71 Min: 2.59 / Avg: 2.61 / Max: 2.63 Min: 2.58 / Avg: 2.61 / Max: 2.63 Min: 2.52 / Avg: 2.55 / Max: 2.6 Min: 2.47 / Avg: 2.5 / Max: 2.52 Min: 2.48 / Avg: 2.49 / Max: 2.5 Min: 2.4 / Avg: 2.44 / Max: 2.47
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 7232P EPYC 7262 EPYC 7252 EPYC 7F32 EPYC 7272 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7532 EPYC 7352 EPYC 7452 EPYC 7402P EPYC 7662 EPYC 7F72 EPYC 7642 EPYC 7702 EPYC 7552 EPYC 7502 EPYC 7502P EPYC 7542 8K 16K 24K 32K 40K SE +/- 70.19, N = 3 SE +/- 68.03, N = 3 SE +/- 24.14, N = 3 SE +/- 41.67, N = 3 SE +/- 17.13, N = 3 SE +/- 120.60, N = 3 SE +/- 133.31, N = 3 SE +/- 98.09, N = 3 SE +/- 9.77, N = 3 SE +/- 40.52, N = 3 SE +/- 257.54, N = 3 SE +/- 54.68, N = 3 SE +/- 52.77, N = 3 SE +/- 13.41, N = 3 SE +/- 343.06, N = 3 SE +/- 92.56, N = 3 SE +/- 75.81, N = 3 SE +/- 45.88, N = 3 SE +/- 119.40, N = 3 SE +/- 187.07, N = 3 15804 16021 16485 17707 22972 23954 24697 29493 32539 32751 33447 33686 34785 34826 35249 36550 36572 36967 36999 38540 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 7232P EPYC 7262 EPYC 7252 EPYC 7F32 EPYC 7272 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7532 EPYC 7352 EPYC 7452 EPYC 7402P EPYC 7662 EPYC 7F72 EPYC 7642 EPYC 7702 EPYC 7552 EPYC 7502 EPYC 7502P EPYC 7542 7K 14K 21K 28K 35K Min: 15702.99 / Avg: 15804.25 / Max: 15939.08 Min: 15905.97 / Avg: 16020.62 / Max: 16141.4 Min: 16444.32 / Avg: 16485.32 / Max: 16527.91 Min: 17626.81 / Avg: 17707.46 / Max: 17765.95 Min: 22941.92 / Avg: 22971.81 / Max: 23001.27 Min: 23803.1 / Avg: 23954.31 / Max: 24192.65 Min: 24473.27 / Avg: 24696.63 / Max: 24934.4 Min: 29298.25 / Avg: 29493.13 / Max: 29610.16 Min: 32528.13 / Avg: 32539.44 / Max: 32558.9 Min: 32695.26 / Avg: 32751.07 / Max: 32829.86 Min: 32935.76 / Avg: 33446.85 / Max: 33757.82 Min: 33587.24 / Avg: 33686.48 / Max: 33775.91 Min: 34688.51 / Avg: 34784.98 / Max: 34870.28 Min: 34805.18 / Avg: 34825.59 / Max: 34850.86 Min: 34574.19 / Avg: 35248.66 / Max: 35694.91 Min: 36387.68 / Avg: 36550.04 / Max: 36708.24 Min: 36488.4 / Avg: 36572 / Max: 36723.35 Min: 36896.39 / Avg: 36967.35 / Max: 37053.21 Min: 36803.87 / Avg: 36998.77 / Max: 37215.73 Min: 38166.46 / Avg: 38540.36 / Max: 38739.15 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 7232P EPYC 7262 EPYC 7252 EPYC 7F32 EPYC 7272 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7532 EPYC 7352 EPYC 7452 EPYC 7402P EPYC 7662 EPYC 7F72 EPYC 7642 EPYC 7702 EPYC 7552 EPYC 7502 EPYC 7502P EPYC 7542 4 8 12 16 20 SE +/- 0.070, N = 3 SE +/- 0.066, N = 3 SE +/- 0.022, N = 3 SE +/- 0.034, N = 3 SE +/- 0.008, N = 3 SE +/- 0.052, N = 3 SE +/- 0.055, N = 3 SE +/- 0.028, N = 3 SE +/- 0.003, N = 3 SE +/- 0.010, N = 3 SE +/- 0.058, N = 3 SE +/- 0.012, N = 3 SE +/- 0.011, N = 3 SE +/- 0.003, N = 3 SE +/- 0.069, N = 3 SE +/- 0.020, N = 3 SE +/- 0.014, N = 3 SE +/- 0.009, N = 3 SE +/- 0.021, N = 3 SE +/- 0.032, N = 3 15.827 15.614 15.173 14.125 10.892 10.444 10.131 8.484 7.695 7.643 7.488 7.430 7.209 7.187 7.109 6.865 6.851 6.772 6.767 6.497 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 7232P EPYC 7262 EPYC 7252 EPYC 7F32 EPYC 7272 EPYC 7F52 EPYC 7302P EPYC 7282 EPYC 7532 EPYC 7352 EPYC 7452 EPYC 7402P EPYC 7662 EPYC 7F72 EPYC 7642 EPYC 7702 EPYC 7552 EPYC 7502 EPYC 7502P EPYC 7542 4 8 12 16 20 Min: 15.69 / Avg: 15.83 / Max: 15.93 Min: 15.5 / Avg: 15.61 / Max: 15.73 Min: 15.13 / Avg: 15.17 / Max: 15.21 Min: 14.08 / Avg: 14.13 / Max: 14.19 Min: 10.88 / Avg: 10.89 / Max: 10.91 Min: 10.34 / Avg: 10.44 / Max: 10.51 Min: 10.03 / Avg: 10.13 / Max: 10.22 Min: 8.45 / Avg: 8.48 / Max: 8.54 Min: 7.69 / Avg: 7.7 / Max: 7.7 Min: 7.62 / Avg: 7.64 / Max: 7.66 Min: 7.42 / Avg: 7.49 / Max: 7.6 Min: 7.41 / Avg: 7.43 / Max: 7.45 Min: 7.19 / Avg: 7.21 / Max: 7.23 Min: 7.18 / Avg: 7.19 / Max: 7.19 Min: 7.02 / Avg: 7.11 / Max: 7.25 Min: 6.83 / Avg: 6.86 / Max: 6.9 Min: 6.82 / Avg: 6.85 / Max: 6.87 Min: 6.76 / Avg: 6.77 / Max: 6.79 Min: 6.73 / Avg: 6.77 / Max: 6.8 Min: 6.46 / Avg: 6.5 / Max: 6.56 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 7252 EPYC 7232P EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7F32 EPYC 7302P EPYC 7352 EPYC 7502 EPYC 7452 EPYC 7542 EPYC 7502P EPYC 7402P EPYC 7F52 EPYC 7702 EPYC 7552 EPYC 7F72 EPYC 7662 EPYC 7532 EPYC 7642 1300 2600 3900 5200 6500 SE +/- 76.22, N = 3 SE +/- 3.23, N = 3 SE +/- 147.42, N = 3 SE +/- 70.26, N = 3 SE +/- 15.72, N = 3 SE +/- 30.75, N = 3 SE +/- 166.01, N = 3 SE +/- 142.43, N = 4 SE +/- 7.19, N = 3 SE +/- 6.91, N = 3 SE +/- 2.64, N = 3 SE +/- 2.65, N = 3 SE +/- 13.87, N = 3 SE +/- 2.32, N = 3 SE +/- 22.10, N = 3 SE +/- 7.17, N = 3 SE +/- 31.25, N = 3 SE +/- 5.26, N = 3 SE +/- 117.70, N = 3 SE +/- 12.21, N = 3 2412.70 2442.73 2630.66 2754.89 2830.80 2868.76 4506.35 4910.75 5045.53 5047.53 5052.50 5055.50 5113.55 5445.37 5610.49 5616.08 5739.99 5793.43 5859.29 5876.05 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 7252 EPYC 7232P EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7F32 EPYC 7302P EPYC 7352 EPYC 7502 EPYC 7452 EPYC 7542 EPYC 7502P EPYC 7402P EPYC 7F52 EPYC 7702 EPYC 7552 EPYC 7F72 EPYC 7662 EPYC 7532 EPYC 7642 1000 2000 3000 4000 5000 Min: 2261.2 / Avg: 2412.7 / Max: 2502.99 Min: 2437.13 / Avg: 2442.73 / Max: 2448.33 Min: 2351.05 / Avg: 2630.66 / Max: 2851.47 Min: 2614.63 / Avg: 2754.89 / Max: 2832.51 Min: 2808.24 / Avg: 2830.8 / Max: 2861.04 Min: 2832.51 / Avg: 2868.76 / Max: 2929.91 Min: 4184.77 / Avg: 4506.35 / Max: 4738.71 Min: 4484.31 / Avg: 4910.75 / Max: 5067.52 Min: 5035.57 / Avg: 5045.53 / Max: 5059.5 Min: 5035.57 / Avg: 5047.53 / Max: 5059.5 Min: 5047.51 / Avg: 5052.5 / Max: 5056.49 Min: 5050.5 / Avg: 5055.5 / Max: 5059.5 Min: 5095.81 / Avg: 5113.55 / Max: 5140.9 Min: 5440.74 / Avg: 5445.37 / Max: 5447.69 Min: 5566.93 / Avg: 5610.49 / Max: 5638.78 Min: 5602.93 / Avg: 5616.08 / Max: 5627.6 Min: 5685.18 / Avg: 5739.99 / Max: 5793.42 Min: 5788.17 / Avg: 5793.43 / Max: 5803.95 Min: 5623.89 / Avg: 5859.29 / Max: 5979.08 Min: 5862.52 / Avg: 5876.05 / Max: 5900.41 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 7F32 EPYC 7272 EPYC 7352 EPYC 7262 EPYC 7282 EPYC 7252 EPYC 7302P EPYC 7232P EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7F72 EPYC 7F52 EPYC 7552 EPYC 7702 EPYC 7532 EPYC 7642 EPYC 7662 5 10 15 20 25 SE +/- 0.226, N = 15 SE +/- 0.329, N = 3 SE +/- 0.266, N = 15 SE +/- 0.057, N = 3 SE +/- 0.173, N = 15 SE +/- 0.135, N = 3 SE +/- 0.035, N = 3 SE +/- 0.038, N = 3 SE +/- 0.017, N = 3 SE +/- 0.026, N = 3 SE +/- 0.056, N = 3 SE +/- 0.012, N = 3 SE +/- 0.052, N = 3 SE +/- 0.111, N = 3 SE +/- 0.009, N = 3 SE +/- 0.119, N = 15 SE +/- 0.272, N = 15 SE +/- 0.012, N = 3 SE +/- 0.011, N = 3 SE +/- 0.023, N = 3 21.323 20.041 19.380 19.211 18.764 18.435 16.977 15.589 15.179 14.798 14.693 14.680 14.658 14.571 14.211 12.806 12.012 10.974 9.245 8.985 1. (CXX) g++ options: -O2 -lOpenCL
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP Streamcluster EPYC 7F32 EPYC 7272 EPYC 7352 EPYC 7262 EPYC 7282 EPYC 7252 EPYC 7302P EPYC 7232P EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7F72 EPYC 7F52 EPYC 7552 EPYC 7702 EPYC 7532 EPYC 7642 EPYC 7662 5 10 15 20 25 Min: 19.39 / Avg: 21.32 / Max: 22.56 Min: 19.54 / Avg: 20.04 / Max: 20.66 Min: 18.7 / Avg: 19.38 / Max: 22.24 Min: 19.14 / Avg: 19.21 / Max: 19.33 Min: 18.11 / Avg: 18.76 / Max: 19.48 Min: 18.26 / Avg: 18.44 / Max: 18.7 Min: 16.93 / Avg: 16.98 / Max: 17.05 Min: 15.51 / Avg: 15.59 / Max: 15.64 Min: 15.15 / Avg: 15.18 / Max: 15.21 Min: 14.76 / Avg: 14.8 / Max: 14.85 Min: 14.61 / Avg: 14.69 / Max: 14.8 Min: 14.66 / Avg: 14.68 / Max: 14.7 Min: 14.57 / Avg: 14.66 / Max: 14.75 Min: 14.41 / Avg: 14.57 / Max: 14.78 Min: 14.2 / Avg: 14.21 / Max: 14.23 Min: 12.04 / Avg: 12.81 / Max: 13.6 Min: 10.44 / Avg: 12.01 / Max: 13.11 Min: 10.95 / Avg: 10.97 / Max: 10.99 Min: 9.23 / Avg: 9.25 / Max: 9.27 Min: 8.94 / Avg: 8.98 / Max: 9.01 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 7532 EPYC 7232P EPYC 7272 EPYC 7282 EPYC 7252 EPYC 7352 EPYC 7502 EPYC 7452 EPYC 7552 EPYC 7402P EPYC 7302P EPYC 7662 EPYC 7642 EPYC 7542 EPYC 7702 EPYC 7262 EPYC 7502P EPYC 7F32 EPYC 7F72 EPYC 7F52 60 120 180 240 300 SE +/- 0.34, N = 3 SE +/- 0.29, N = 3 SE +/- 3.20, N = 3 SE +/- 2.12, N = 3 SE +/- 1.26, N = 3 SE +/- 0.93, N = 3 SE +/- 0.62, N = 3 SE +/- 1.02, N = 3 SE +/- 2.07, N = 3 SE +/- 1.03, N = 3 SE +/- 0.30, N = 3 SE +/- 0.45, N = 3 SE +/- 0.62, N = 3 SE +/- 0.95, N = 3 SE +/- 0.38, N = 3 SE +/- 0.26, N = 3 SE +/- 0.63, N = 3 SE +/- 1.11, N = 3 SE +/- 0.92, N = 3 SE +/- 0.51, N = 3 125.68 197.39 225.57 245.55 255.55 256.78 258.33 263.27 263.36 263.94 265.82 266.92 267.49 267.59 269.74 271.93 273.56 281.48 287.93 289.84 1. (CC) gcc options: -lm
Result Confidence
OpenBenchmarking.org Mflops, More Is Better SciMark 2.0 Computational Test: Fast Fourier Transform EPYC 7532 EPYC 7232P EPYC 7272 EPYC 7282 EPYC 7252 EPYC 7352 EPYC 7502 EPYC 7452 EPYC 7552 EPYC 7402P EPYC 7302P EPYC 7662 EPYC 7642 EPYC 7542 EPYC 7702 EPYC 7262 EPYC 7502P EPYC 7F32 EPYC 7F72 EPYC 7F52 50 100 150 200 250 Min: 125.2 / Avg: 125.68 / Max: 126.33 Min: 196.97 / Avg: 197.39 / Max: 197.94 Min: 220.35 / Avg: 225.57 / Max: 231.38 Min: 243.33 / Avg: 245.55 / Max: 249.8 Min: 254.12 / Avg: 255.55 / Max: 258.06 Min: 255.43 / Avg: 256.78 / Max: 258.56 Min: 257.32 / Avg: 258.33 / Max: 259.45 Min: 261.23 / Avg: 263.27 / Max: 264.46 Min: 259.32 / Avg: 263.36 / Max: 266.17 Min: 261.91 / Avg: 263.94 / Max: 265.28 Min: 265.45 / Avg: 265.82 / Max: 266.42 Min: 266.17 / Avg: 266.92 / Max: 267.72 Min: 266.28 / Avg: 267.49 / Max: 268.29 Min: 265.75 / Avg: 267.59 / Max: 268.88 Min: 268.99 / Avg: 269.74 / Max: 270.17 Min: 271.61 / Avg: 271.93 / Max: 272.45 Min: 272.31 / Avg: 273.56 / Max: 274.3 Min: 280 / Avg: 281.48 / Max: 283.66 Min: 287 / Avg: 287.93 / Max: 289.76 Min: 289.05 / Avg: 289.84 / Max: 290.78 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 7702 EPYC 7662 EPYC 7642 EPYC 7352 EPYC 7552 EPYC 7532 EPYC 7502 EPYC 7232P EPYC 7252 EPYC 7452 EPYC 7262 EPYC 7542 EPYC 7502P EPYC 7302P EPYC 7272 EPYC 7F72 EPYC 7402P EPYC 7F32 EPYC 7F52 EPYC 7282 10 20 30 40 50 SE +/- 0.62, N = 3 SE +/- 0.84, N = 3 SE +/- 0.40, N = 3 SE +/- 0.32, N = 15 SE +/- 0.37, N = 3 SE +/- 0.93, N = 3 SE +/- 0.84, N = 12 SE +/- 0.19, N = 4 SE +/- 0.15, N = 15 SE +/- 0.32, N = 3 SE +/- 0.35, N = 3 SE +/- 0.23, N = 8 SE +/- 0.29, N = 3 SE +/- 0.25, N = 3 SE +/- 0.21, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.30, N = 3 SE +/- 0.18, N = 10 SE +/- 0.14, N = 3 44.29 31.74 27.78 26.52 25.88 24.85 24.30 23.35 22.73 22.38 22.35 22.30 22.04 22.01 21.86 21.73 20.50 20.29 20.04 19.24 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: googlenet EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7352 EPYC 7552 EPYC 7532 EPYC 7502 EPYC 7232P EPYC 7252 EPYC 7452 EPYC 7262 EPYC 7542 EPYC 7502P EPYC 7302P EPYC 7272 EPYC 7F72 EPYC 7402P EPYC 7F32 EPYC 7F52 EPYC 7282 9 18 27 36 45 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: 24.47 / Avg: 26.52 / Max: 28.49 Min: 25.16 / Avg: 25.88 / Max: 26.41 Min: 23.42 / Avg: 24.85 / Max: 26.6 Min: 21.5 / Avg: 24.3 / Max: 29.46 Min: 22.8 / Avg: 23.35 / Max: 23.65 Min: 21.95 / Avg: 22.73 / Max: 23.78 Min: 22.05 / Avg: 22.38 / Max: 23.01 Min: 21.78 / Avg: 22.35 / Max: 23 Min: 21.14 / Avg: 22.3 / Max: 23.26 Min: 21.47 / Avg: 22.04 / Max: 22.39 Min: 21.51 / Avg: 22.01 / Max: 22.31 Min: 21.52 / Avg: 21.86 / Max: 22.24 Min: 21.64 / Avg: 21.73 / Max: 21.86 Min: 20.47 / Avg: 20.5 / Max: 20.55 Min: 19.96 / Avg: 20.29 / Max: 20.89 Min: 18.68 / Avg: 20.04 / Max: 20.7 Min: 19.1 / Avg: 19.24 / Max: 19.52 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7352 EPYC 7402P EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7532 EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7662 11 22 33 44 55 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.10, N = 3 SE +/- 0.10, N = 3 SE +/- 0.08, N = 3 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.11, N = 3 SE +/- 0.06, N = 3 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.12, N = 3 SE +/- 0.05, N = 3 SE +/- 0.10, N = 3 SE +/- 0.16, N = 3 21.55 21.75 22.38 25.63 28.30 31.17 33.75 34.46 35.22 38.66 40.73 41.60 42.56 42.87 45.97 46.23 46.27 48.34 48.99 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7352 EPYC 7402P EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7532 EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7662 10 20 30 40 50 Min: 21.55 / Avg: 21.55 / Max: 21.56 Min: 21.71 / Avg: 21.75 / Max: 21.78 Min: 22.34 / Avg: 22.38 / Max: 22.41 Min: 25.59 / Avg: 25.63 / Max: 25.68 Min: 28.15 / Avg: 28.3 / Max: 28.48 Min: 30.99 / Avg: 31.17 / Max: 31.33 Min: 33.59 / Avg: 33.75 / Max: 33.87 Min: 34.38 / Avg: 34.46 / Max: 34.56 Min: 35.08 / Avg: 35.22 / Max: 35.32 Min: 38.6 / Avg: 38.66 / Max: 38.77 Min: 40.64 / Avg: 40.73 / Max: 40.82 Min: 41.4 / Avg: 41.6 / Max: 41.77 Min: 42.44 / Avg: 42.56 / Max: 42.66 Min: 42.73 / Avg: 42.87 / Max: 42.94 Min: 45.92 / Avg: 45.97 / Max: 46.07 Min: 45.98 / Avg: 46.23 / Max: 46.37 Min: 46.19 / Avg: 46.27 / Max: 46.35 Min: 48.14 / Avg: 48.34 / Max: 48.48 Min: 48.71 / Avg: 48.99 / Max: 49.27 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 7272 EPYC 7252 EPYC 7232P EPYC 7282 EPYC 7262 EPYC 7F32 EPYC 7352 EPYC 7452 EPYC 7502P EPYC 7542 EPYC 7502 EPYC 7402P EPYC 7302P EPYC 7552 EPYC 7702 EPYC 7532 EPYC 7F72 EPYC 7662 EPYC 7642 EPYC 7F52 1100 2200 3300 4400 5500 SE +/- 30.67, N = 15 SE +/- 11.13, N = 3 SE +/- 31.33, N = 5 SE +/- 3.21, N = 3 SE +/- 67.60, N = 15 SE +/- 37.28, N = 15 SE +/- 28.11, N = 15 SE +/- 0.54, N = 3 SE +/- 0.54, N = 3 SE +/- 2.17, N = 3 SE +/- 1.96, N = 3 SE +/- 7.59, N = 3 SE +/- 38.78, N = 3 SE +/- 0.85, N = 3 SE +/- 15.31, N = 3 SE +/- 28.28, N = 3 SE +/- 0.00, N = 3 SE +/- 5.99, N = 3 SE +/- 3.26, N = 3 SE +/- 12.56, N = 3 2265.27 2330.58 2379.01 2431.57 3091.42 3174.57 3504.37 3722.77 3724.95 3724.95 3726.03 3845.65 4014.66 4345.56 4420.44 4424.90 4465.51 4522.41 4533.09 5134.77 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 7272 EPYC 7252 EPYC 7232P EPYC 7282 EPYC 7262 EPYC 7F32 EPYC 7352 EPYC 7452 EPYC 7502P EPYC 7542 EPYC 7502 EPYC 7402P EPYC 7302P EPYC 7552 EPYC 7702 EPYC 7532 EPYC 7F72 EPYC 7662 EPYC 7642 EPYC 7F52 900 1800 2700 3600 4500 Min: 2038.97 / Avg: 2265.27 / Max: 2480.65 Min: 2312.76 / Avg: 2330.58 / Max: 2351.05 Min: 2254.02 / Avg: 2379.01 / Max: 2415.02 Min: 2426.02 / Avg: 2431.57 / Max: 2437.13 Min: 2488.37 / Avg: 3091.42 / Max: 3413.54 Min: 2821.26 / Avg: 3174.57 / Max: 3365 Min: 3304.11 / Avg: 3504.37 / Max: 3672.5 Min: 3722.23 / Avg: 3722.77 / Max: 3723.86 Min: 3723.86 / Avg: 3724.95 / Max: 3725.49 Min: 3720.61 / Avg: 3724.95 / Max: 3727.12 Min: 3722.23 / Avg: 3726.03 / Max: 3728.75 Min: 3831.02 / Avg: 3845.65 / Max: 3856.45 Min: 3937.24 / Avg: 4014.66 / Max: 4057.23 Min: 4344.08 / Avg: 4345.56 / Max: 4347.04 Min: 4399.79 / Avg: 4420.44 / Max: 4450.35 Min: 4385.07 / Avg: 4424.9 / Max: 4479.6 Min: 4465.51 / Avg: 4465.51 / Max: 4465.51 Min: 4510.42 / Avg: 4522.41 / Max: 4528.4 Min: 4527.2 / Avg: 4533.09 / Max: 4538.45 Min: 5114.16 / Avg: 5134.77 / Max: 5157.5 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7352 EPYC 7282 EPYC 7302P EPYC 7402P EPYC 7F52 EPYC 7532 EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7552 EPYC 7702 EPYC 7642 EPYC 7542 EPYC 7662 6 12 18 24 30 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, 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 +/- 0.03, 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 +/- 0.05, N = 3 SE +/- 0.09, N = 3 SE +/- 0.02, N = 3 12.25 12.35 12.91 14.74 16.21 18.33 18.87 19.83 19.93 23.38 24.54 24.63 25.35 25.35 26.65 27.03 27.11 27.20 27.55 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: Very Fast EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7352 EPYC 7282 EPYC 7302P EPYC 7402P EPYC 7F52 EPYC 7532 EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7552 EPYC 7702 EPYC 7642 EPYC 7542 EPYC 7662 6 12 18 24 30 Min: 12.22 / Avg: 12.25 / Max: 12.28 Min: 12.33 / Avg: 12.35 / Max: 12.39 Min: 12.89 / Avg: 12.91 / Max: 12.95 Min: 14.69 / Avg: 14.74 / Max: 14.77 Min: 16.17 / Avg: 16.21 / Max: 16.27 Min: 18.3 / Avg: 18.33 / Max: 18.36 Min: 18.83 / Avg: 18.87 / Max: 18.89 Min: 19.77 / Avg: 19.83 / Max: 19.86 Min: 19.9 / Avg: 19.93 / Max: 19.97 Min: 23.33 / Avg: 23.38 / Max: 23.44 Min: 24.5 / Avg: 24.54 / Max: 24.59 Min: 24.61 / Avg: 24.63 / Max: 24.66 Min: 25.25 / Avg: 25.35 / Max: 25.42 Min: 25.28 / Avg: 25.35 / Max: 25.39 Min: 26.64 / Avg: 26.65 / Max: 26.67 Min: 26.99 / Avg: 27.03 / Max: 27.07 Min: 27.05 / Avg: 27.11 / Max: 27.2 Min: 27.03 / Avg: 27.2 / Max: 27.32 Min: 27.51 / Avg: 27.55 / Max: 27.59 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 7702 EPYC 7662 EPYC 7642 EPYC 7232P EPYC 7252 EPYC 7272 EPYC 7552 EPYC 7262 EPYC 7352 EPYC 7532 EPYC 7F32 EPYC 7502 EPYC 7452 EPYC 7302P EPYC 7F52 EPYC 7F72 EPYC 7502P EPYC 7282 EPYC 7542 EPYC 7402P 12 24 36 48 60 SE +/- 1.80, N = 3 SE +/- 0.12, N = 3 SE +/- 0.81, N = 3 SE +/- 0.31, N = 4 SE +/- 0.16, N = 15 SE +/- 0.09, N = 3 SE +/- 0.29, N = 3 SE +/- 0.29, N = 3 SE +/- 0.17, N = 15 SE +/- 0.28, N = 3 SE +/- 0.13, N = 3 SE +/- 0.95, N = 12 SE +/- 0.53, N = 3 SE +/- 0.09, N = 3 SE +/- 0.52, N = 10 SE +/- 0.13, N = 3 SE +/- 0.55, N = 3 SE +/- 0.08, N = 3 SE +/- 0.10, N = 8 SE +/- 0.26, N = 3 52.99 37.02 34.32 34.16 33.75 32.87 31.33 31.33 29.84 28.82 27.85 27.71 26.10 25.88 25.74 25.70 25.36 24.85 24.57 23.60 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: resnet50 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7232P EPYC 7252 EPYC 7272 EPYC 7552 EPYC 7262 EPYC 7352 EPYC 7532 EPYC 7F32 EPYC 7502 EPYC 7452 EPYC 7302P EPYC 7F52 EPYC 7F72 EPYC 7502P EPYC 7282 EPYC 7542 EPYC 7402P 11 22 33 44 55 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: 33.29 / Avg: 34.16 / Max: 34.69 Min: 32.78 / Avg: 33.75 / Max: 34.88 Min: 32.76 / Avg: 32.87 / Max: 33.04 Min: 30.82 / Avg: 31.33 / Max: 31.84 Min: 30.76 / Avg: 31.33 / Max: 31.64 Min: 28.32 / Avg: 29.84 / Max: 30.59 Min: 28.28 / Avg: 28.82 / Max: 29.2 Min: 27.64 / Avg: 27.85 / Max: 28.08 Min: 24.74 / Avg: 27.71 / Max: 33.12 Min: 25.55 / Avg: 26.1 / Max: 27.16 Min: 25.71 / Avg: 25.88 / Max: 26.01 Min: 21.71 / Avg: 25.74 / Max: 27.13 Min: 25.5 / Avg: 25.7 / Max: 25.94 Min: 24.66 / Avg: 25.36 / Max: 26.45 Min: 24.71 / Avg: 24.85 / Max: 24.98 Min: 24.2 / Avg: 24.57 / Max: 25.09 Min: 23.25 / Avg: 23.6 / Max: 24.11 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 7262 EPYC 7F32 EPYC 7232P EPYC 7252 EPYC 7302P EPYC 7272 EPYC 7352 EPYC 7402P EPYC 7532 EPYC 7F72 EPYC 7452 EPYC 7282 EPYC 7F52 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7642 EPYC 7552 EPYC 7662 EPYC 7702 0.6701 1.3402 2.0103 2.6804 3.3505 SE +/- 0.008, N = 3 SE +/- 0.005, N = 3 SE +/- 0.009, N = 3 SE +/- 0.001, N = 3 SE +/- 0.004, N = 3 SE +/- 0.005, N = 3 SE +/- 0.004, N = 3 SE +/- 0.005, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.004, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.004, N = 3 SE +/- 0.006, N = 3 SE +/- 0.004, N = 3 SE +/- 0.009, N = 3 SE +/- 0.006, N = 3 SE +/- 0.019, N = 4 SE +/- 0.008, N = 3 2.978 2.718 2.684 2.635 2.144 2.114 2.073 2.053 2.025 1.979 1.957 1.903 1.882 1.863 1.861 1.812 1.810 1.673 1.499 1.347 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 7262 EPYC 7F32 EPYC 7232P EPYC 7252 EPYC 7302P EPYC 7272 EPYC 7352 EPYC 7402P EPYC 7532 EPYC 7F72 EPYC 7452 EPYC 7282 EPYC 7F52 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7642 EPYC 7552 EPYC 7662 EPYC 7702 2 4 6 8 10 Min: 2.96 / Avg: 2.98 / Max: 2.99 Min: 2.71 / Avg: 2.72 / Max: 2.72 Min: 2.67 / Avg: 2.68 / Max: 2.7 Min: 2.63 / Avg: 2.63 / Max: 2.64 Min: 2.14 / Avg: 2.14 / Max: 2.15 Min: 2.11 / Avg: 2.11 / Max: 2.12 Min: 2.07 / Avg: 2.07 / Max: 2.08 Min: 2.05 / Avg: 2.05 / Max: 2.06 Min: 2.02 / Avg: 2.03 / Max: 2.03 Min: 1.98 / Avg: 1.98 / Max: 1.98 Min: 1.95 / Avg: 1.96 / Max: 1.96 Min: 1.9 / Avg: 1.9 / Max: 1.9 Min: 1.88 / Avg: 1.88 / Max: 1.89 Min: 1.86 / Avg: 1.86 / Max: 1.87 Min: 1.85 / Avg: 1.86 / Max: 1.87 Min: 1.81 / Avg: 1.81 / Max: 1.82 Min: 1.79 / Avg: 1.81 / Max: 1.82 Min: 1.66 / Avg: 1.67 / Max: 1.69 Min: 1.45 / Avg: 1.5 / Max: 1.54 Min: 1.33 / Avg: 1.35 / Max: 1.36 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7F52 EPYC 7702 EPYC 7532 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7642 EPYC 7662 EPYC 7502 EPYC 7502P EPYC 7552 EPYC 7542 0.9569 1.9138 2.8707 3.8276 4.7845 SE +/- 0.011, N = 3 SE +/- 0.005, N = 3 SE +/- 0.007, N = 3 SE +/- 0.014, N = 3 SE +/- 0.009, N = 3 SE +/- 0.005, N = 3 SE +/- 0.003, N = 3 SE +/- 0.014, N = 3 SE +/- 0.001, N = 3 SE +/- 0.016, N = 3 SE +/- 0.015, N = 3 SE +/- 0.003, N = 3 SE +/- 0.011, N = 3 SE +/- 0.006, N = 3 SE +/- 0.006, N = 3 SE +/- 0.004, N = 3 SE +/- 0.022, N = 13 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 4.253 4.059 4.007 3.527 3.261 2.653 2.479 2.318 2.290 2.131 2.113 2.084 2.042 2.030 2.012 1.999 1.974 1.955 1.933 1.924
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Darktable 3.2.1 Test: Server Room - Acceleration: CPU-only EPYC 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7F52 EPYC 7702 EPYC 7532 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7642 EPYC 7662 EPYC 7502 EPYC 7502P EPYC 7552 EPYC 7542 2 4 6 8 10 Min: 4.24 / Avg: 4.25 / Max: 4.27 Min: 4.05 / Avg: 4.06 / Max: 4.07 Min: 3.99 / Avg: 4.01 / Max: 4.02 Min: 3.51 / Avg: 3.53 / Max: 3.55 Min: 3.25 / Avg: 3.26 / Max: 3.28 Min: 2.65 / Avg: 2.65 / Max: 2.66 Min: 2.47 / Avg: 2.48 / Max: 2.48 Min: 2.3 / Avg: 2.32 / Max: 2.34 Min: 2.29 / Avg: 2.29 / Max: 2.29 Min: 2.11 / Avg: 2.13 / Max: 2.16 Min: 2.09 / Avg: 2.11 / Max: 2.14 Min: 2.08 / Avg: 2.08 / Max: 2.09 Min: 2.03 / Avg: 2.04 / Max: 2.06 Min: 2.02 / Avg: 2.03 / Max: 2.04 Min: 2 / Avg: 2.01 / Max: 2.02 Min: 1.99 / Avg: 2 / Max: 2.01 Min: 1.94 / Avg: 1.97 / Max: 2.24 Min: 1.95 / Avg: 1.96 / Max: 1.96 Min: 1.93 / Avg: 1.93 / Max: 1.94 Min: 1.92 / Avg: 1.92 / Max: 1.93
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 7262 EPYC 7F32 EPYC 7232P EPYC 7252 EPYC 7302P EPYC 7272 EPYC 7352 EPYC 7402P EPYC 7532 EPYC 7F72 EPYC 7452 EPYC 7282 EPYC 7F52 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7642 EPYC 7552 EPYC 7662 EPYC 7702 8K 16K 24K 32K 40K SE +/- 43.86, N = 3 SE +/- 32.81, N = 3 SE +/- 63.42, N = 3 SE +/- 9.83, N = 3 SE +/- 39.29, N = 3 SE +/- 55.54, N = 3 SE +/- 50.55, N = 3 SE +/- 61.93, N = 3 SE +/- 9.07, N = 3 SE +/- 26.07, N = 3 SE +/- 47.34, N = 3 SE +/- 8.44, N = 3 SE +/- 27.39, N = 3 SE +/- 61.39, N = 3 SE +/- 83.99, N = 3 SE +/- 52.82, N = 3 SE +/- 128.39, N = 3 SE +/- 112.34, N = 3 SE +/- 433.11, N = 4 SE +/- 235.98, N = 3 16795 18402 18634 18983 23328 23659 24128 24361 24700 25274 25560 26287 26575 26847 26881 27606 27640 29894 33395 37125 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 7262 EPYC 7F32 EPYC 7232P EPYC 7252 EPYC 7302P EPYC 7272 EPYC 7352 EPYC 7402P EPYC 7532 EPYC 7F72 EPYC 7452 EPYC 7282 EPYC 7F52 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7642 EPYC 7552 EPYC 7662 EPYC 7702 6K 12K 18K 24K 30K Min: 16721.05 / Avg: 16795.5 / Max: 16872.91 Min: 18359.16 / Avg: 18402.47 / Max: 18466.82 Min: 18557.87 / Avg: 18634.35 / Max: 18760.23 Min: 18972.76 / Avg: 18983.41 / Max: 19003.05 Min: 23279.56 / Avg: 23328.38 / Max: 23406.12 Min: 23550.91 / Avg: 23658.54 / Max: 23736.16 Min: 24041.38 / Avg: 24128.48 / Max: 24216.49 Min: 24247.97 / Avg: 24360.89 / Max: 24461.41 Min: 24686.51 / Avg: 24700.11 / Max: 24717.31 Min: 25243.86 / Avg: 25274.39 / Max: 25326.27 Min: 25466.21 / Avg: 25560.04 / Max: 25617.95 Min: 26271.36 / Avg: 26287.44 / Max: 26299.92 Min: 26520.78 / Avg: 26575.42 / Max: 26606.09 Min: 26724.57 / Avg: 26847.3 / Max: 26911.7 Min: 26778.77 / Avg: 26881.22 / Max: 27047.74 Min: 27501.47 / Avg: 27606.4 / Max: 27669.46 Min: 27475.35 / Avg: 27639.96 / Max: 27892.95 Min: 29689.46 / Avg: 29894.23 / Max: 30076.7 Min: 32432.72 / Avg: 33395.1 / Max: 34538.91 Min: 36685.88 / Avg: 37125 / Max: 37494.37 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 7252 EPYC 7262 EPYC 7232P EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7642 EPYC 7352 EPYC 7702 EPYC 7F72 EPYC 7402P EPYC 7532 EPYC 7452 EPYC 7542 EPYC 7502 EPYC 7552 EPYC 7502P EPYC 7662 0.0383 0.0766 0.1149 0.1532 0.1915 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 4 SE +/- 0.002, N = 4 SE +/- 0.001, N = 14 SE +/- 0.001, N = 3 SE +/- 0.014, N = 15 SE +/- 0.002, N = 12 SE +/- 0.002, N = 15 SE +/- 0.000, N = 3 SE +/- 0.001, N = 5 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 12 SE +/- 0.001, N = 3 SE +/- 0.002, N = 13 SE +/- 0.001, N = 3 SE +/- 0.001, N = 4 0.170 0.165 0.159 0.149 0.136 0.114 0.106 0.102 0.101 0.099 0.093 0.090 0.088 0.087 0.082 0.081 0.081 0.080 0.080 0.077
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Darktable 3.2.1 Test: Server Rack - Acceleration: CPU-only EPYC 7252 EPYC 7262 EPYC 7232P EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7642 EPYC 7352 EPYC 7702 EPYC 7F72 EPYC 7402P EPYC 7532 EPYC 7452 EPYC 7542 EPYC 7502 EPYC 7552 EPYC 7502P EPYC 7662 1 2 3 4 5 Min: 0.17 / Avg: 0.17 / Max: 0.17 Min: 0.16 / Avg: 0.17 / Max: 0.17 Min: 0.16 / Avg: 0.16 / Max: 0.16 Min: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.13 / Avg: 0.14 / Max: 0.14 Min: 0.11 / Avg: 0.11 / Max: 0.12 Min: 0.1 / Avg: 0.11 / Max: 0.12 Min: 0.1 / Avg: 0.1 / Max: 0.1 Min: 0.08 / Avg: 0.1 / Max: 0.24 Min: 0.09 / Avg: 0.1 / Max: 0.11 Min: 0.08 / Avg: 0.09 / Max: 0.11 Min: 0.09 / Avg: 0.09 / Max: 0.09 Min: 0.09 / Avg: 0.09 / 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: 0.09 Min: 0.08 / Avg: 0.08 / Max: 0.08 Min: 0.08 / Avg: 0.08 / Max: 0.1 Min: 0.08 / Avg: 0.08 / Max: 0.08 Min: 0.08 / Avg: 0.08 / Max: 0.08
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 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7232P EPYC 7252 EPYC 7532 EPYC 7262 EPYC 7352 EPYC 7272 EPYC 7502 EPYC 7302P EPYC 7F32 EPYC 7502P EPYC 7F72 EPYC 7F52 EPYC 7452 EPYC 7542 EPYC 7282 EPYC 7402P 10 20 30 40 50 SE +/- 1.51, N = 3 SE +/- 2.32, N = 3 SE +/- 0.34, N = 3 SE +/- 0.52, N = 3 SE +/- 0.13, N = 4 SE +/- 0.15, N = 15 SE +/- 0.41, N = 3 SE +/- 0.23, N = 3 SE +/- 0.17, N = 15 SE +/- 0.27, N = 3 SE +/- 0.67, N = 12 SE +/- 0.36, N = 3 SE +/- 0.08, N = 3 SE +/- 0.78, N = 3 SE +/- 0.53, N = 3 SE +/- 0.26, N = 10 SE +/- 0.13, N = 3 SE +/- 0.11, N = 8 SE +/- 0.19, N = 3 SE +/- 0.04, N = 3 44.33 37.10 30.56 28.03 27.22 26.48 25.98 25.82 24.55 23.83 23.45 23.01 22.58 22.38 22.06 21.54 21.38 20.94 20.52 20.15 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: mobilenet EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7232P EPYC 7252 EPYC 7532 EPYC 7262 EPYC 7352 EPYC 7272 EPYC 7502 EPYC 7302P EPYC 7F32 EPYC 7502P EPYC 7F72 EPYC 7F52 EPYC 7452 EPYC 7542 EPYC 7282 EPYC 7402P 9 18 27 36 45 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: 26.94 / Avg: 27.22 / Max: 27.53 Min: 25.52 / Avg: 26.48 / Max: 27.51 Min: 25.17 / Avg: 25.98 / Max: 26.53 Min: 25.59 / Avg: 25.82 / Max: 26.28 Min: 23.62 / Avg: 24.55 / Max: 25.7 Min: 23.56 / Avg: 23.83 / Max: 24.36 Min: 21.05 / Avg: 23.45 / Max: 27.68 Min: 22.3 / Avg: 23.01 / Max: 23.42 Min: 22.42 / Avg: 22.58 / Max: 22.67 Min: 21.08 / Avg: 22.38 / Max: 23.78 Min: 21 / Avg: 22.06 / Max: 22.67 Min: 19.53 / Avg: 21.54 / Max: 22.71 Min: 21.24 / Avg: 21.38 / Max: 21.64 Min: 20.61 / Avg: 20.94 / Max: 21.36 Min: 20.25 / Avg: 20.52 / Max: 20.9 Min: 20.07 / Avg: 20.15 / Max: 20.19 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 7252 EPYC 7232P EPYC 7262 EPYC 7272 EPYC 7F32 EPYC 7282 EPYC 7352 EPYC 7302P EPYC 7702 EPYC 7452 EPYC 7532 EPYC 7502P EPYC 7402P EPYC 7502 EPYC 7F72 EPYC 7542 EPYC 7F52 EPYC 7552 EPYC 7662 EPYC 7642 2 4 6 8 10 SE +/- 0.005, N = 3 SE +/- 0.005, N = 3 SE +/- 0.074, N = 3 SE +/- 0.030, N = 3 SE +/- 0.034, N = 3 SE +/- 0.018, N = 3 SE +/- 0.014, N = 3 SE +/- 0.015, N = 3 SE +/- 0.054, N = 4 SE +/- 0.012, N = 3 SE +/- 0.045, N = 3 SE +/- 0.019, N = 3 SE +/- 0.020, N = 3 SE +/- 0.013, N = 3 SE +/- 0.045, N = 3 SE +/- 0.024, N = 3 SE +/- 0.013, N = 3 SE +/- 0.012, N = 3 SE +/- 0.003, N = 3 SE +/- 0.012, N = 3 7.276 6.767 6.456 6.347 5.695 5.503 4.432 4.105 4.050 3.796 3.741 3.725 3.720 3.701 3.700 3.648 3.602 3.481 3.410 3.311
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Darktable 3.2.1 Test: Boat - Acceleration: CPU-only EPYC 7252 EPYC 7232P EPYC 7262 EPYC 7272 EPYC 7F32 EPYC 7282 EPYC 7352 EPYC 7302P EPYC 7702 EPYC 7452 EPYC 7532 EPYC 7502P EPYC 7402P EPYC 7502 EPYC 7F72 EPYC 7542 EPYC 7F52 EPYC 7552 EPYC 7662 EPYC 7642 3 6 9 12 15 Min: 7.27 / Avg: 7.28 / Max: 7.29 Min: 6.76 / Avg: 6.77 / Max: 6.78 Min: 6.36 / Avg: 6.46 / Max: 6.6 Min: 6.3 / Avg: 6.35 / Max: 6.4 Min: 5.66 / Avg: 5.69 / Max: 5.76 Min: 5.48 / Avg: 5.5 / Max: 5.54 Min: 4.42 / Avg: 4.43 / Max: 4.46 Min: 4.09 / Avg: 4.11 / Max: 4.14 Min: 3.91 / Avg: 4.05 / Max: 4.15 Min: 3.77 / Avg: 3.8 / Max: 3.81 Min: 3.69 / Avg: 3.74 / Max: 3.83 Min: 3.69 / Avg: 3.73 / Max: 3.76 Min: 3.68 / Avg: 3.72 / Max: 3.75 Min: 3.69 / Avg: 3.7 / Max: 3.73 Min: 3.65 / Avg: 3.7 / Max: 3.79 Min: 3.62 / Avg: 3.65 / Max: 3.7 Min: 3.59 / Avg: 3.6 / Max: 3.63 Min: 3.47 / Avg: 3.48 / Max: 3.51 Min: 3.41 / Avg: 3.41 / Max: 3.41 Min: 3.29 / Avg: 3.31 / Max: 3.33
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 7272 EPYC 7252 EPYC 7232P EPYC 7282 EPYC 7F32 EPYC 7352 EPYC 7262 EPYC 7452 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7302P EPYC 7402P EPYC 7702 EPYC 7552 EPYC 7F72 EPYC 7662 EPYC 7642 EPYC 7532 EPYC 7F52 4 8 12 16 20 SE +/- 0.03172, N = 3 SE +/- 0.06304, N = 3 SE +/- 0.05268, N = 3 SE +/- 0.02302, N = 3 SE +/- 0.07227, N = 3 SE +/- 0.01739, N = 3 SE +/- 0.04345, N = 3 SE +/- 0.00575, N = 3 SE +/- 0.01510, N = 3 SE +/- 0.01024, N = 3 SE +/- 0.01557, N = 3 SE +/- 0.06961, N = 3 SE +/- 0.01027, N = 3 SE +/- 0.21777, N = 3 SE +/- 0.02604, N = 3 SE +/- 0.01357, N = 3 SE +/- 0.00693, N = 3 SE +/- 0.01654, N = 3 SE +/- 0.08758, N = 3 SE +/- 0.16459, N = 3 8.10890 8.54683 8.69542 8.94634 9.19335 11.93780 13.48800 15.11360 15.12460 15.18680 15.19950 15.41370 15.56040 15.78500 16.55080 17.24060 17.34760 17.59740 17.69020 17.73280 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 7272 EPYC 7252 EPYC 7232P EPYC 7282 EPYC 7F32 EPYC 7352 EPYC 7262 EPYC 7452 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7302P EPYC 7402P EPYC 7702 EPYC 7552 EPYC 7F72 EPYC 7662 EPYC 7642 EPYC 7532 EPYC 7F52 4 8 12 16 20 Min: 8.07 / Avg: 8.11 / Max: 8.17 Min: 8.43 / Avg: 8.55 / Max: 8.64 Min: 8.59 / Avg: 8.7 / Max: 8.75 Min: 8.92 / Avg: 8.95 / Max: 8.99 Min: 9.05 / Avg: 9.19 / Max: 9.27 Min: 11.9 / Avg: 11.94 / Max: 11.96 Min: 13.43 / Avg: 13.49 / Max: 13.57 Min: 15.1 / Avg: 15.11 / Max: 15.12 Min: 15.1 / Avg: 15.12 / Max: 15.15 Min: 15.17 / Avg: 15.19 / Max: 15.2 Min: 15.17 / Avg: 15.2 / Max: 15.23 Min: 15.28 / Avg: 15.41 / Max: 15.5 Min: 15.54 / Avg: 15.56 / Max: 15.58 Min: 15.52 / Avg: 15.79 / Max: 16.22 Min: 16.51 / Avg: 16.55 / Max: 16.6 Min: 17.21 / Avg: 17.24 / Max: 17.26 Min: 17.34 / Avg: 17.35 / Max: 17.36 Min: 17.57 / Avg: 17.6 / Max: 17.63 Min: 17.54 / Avg: 17.69 / Max: 17.84 Min: 17.41 / Avg: 17.73 / Max: 17.96 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7F52 EPYC 7452 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7542 EPYC 7F72 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 9 18 27 36 45 SE +/- 0.08, N = 3 SE +/- 0.00, N = 3 SE +/- 0.40, N = 3 SE +/- 0.19, N = 3 SE +/- 0.35, N = 3 SE +/- 0.06, N = 3 SE +/- 0.13, N = 3 SE +/- 0.09, N = 3 SE +/- 0.10, N = 3 SE +/- 0.11, N = 3 SE +/- 0.11, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.09, N = 3 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 SE +/- 0.20, N = 3 SE +/- 0.01, N = 3 SE +/- 0.17, N = 3 SE +/- 0.09, N = 3 38.47 36.66 34.06 29.68 29.47 25.78 23.97 22.74 20.77 20.67 20.28 19.78 19.75 19.73 19.26 19.15 18.47 18.04 17.64 17.61
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed ImageMagick Compilation 6.9.0 Time To Compile EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7F52 EPYC 7452 EPYC 7502P EPYC 7502 EPYC 7532 EPYC 7542 EPYC 7F72 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 8 16 24 32 40 Min: 38.31 / Avg: 38.47 / Max: 38.59 Min: 36.66 / Avg: 36.66 / Max: 36.67 Min: 33.54 / Avg: 34.06 / Max: 34.86 Min: 29.37 / Avg: 29.68 / Max: 30.01 Min: 28.91 / Avg: 29.47 / Max: 30.12 Min: 25.7 / Avg: 25.78 / Max: 25.91 Min: 23.81 / Avg: 23.97 / Max: 24.23 Min: 22.56 / Avg: 22.74 / Max: 22.85 Min: 20.57 / Avg: 20.77 / Max: 20.89 Min: 20.45 / Avg: 20.67 / Max: 20.81 Min: 20.07 / Avg: 20.28 / Max: 20.43 Min: 19.76 / Avg: 19.78 / Max: 19.81 Min: 19.69 / Avg: 19.75 / Max: 19.84 Min: 19.62 / Avg: 19.73 / Max: 19.91 Min: 19.19 / Avg: 19.26 / Max: 19.36 Min: 19.06 / Avg: 19.15 / Max: 19.27 Min: 18.09 / Avg: 18.47 / Max: 18.77 Min: 18.02 / Avg: 18.04 / Max: 18.06 Min: 17.31 / Avg: 17.64 / Max: 17.81 Min: 17.43 / Avg: 17.61 / Max: 17.71
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 7232P EPYC 7262 EPYC 7252 EPYC 7F32 EPYC 7F52 EPYC 7272 EPYC 7302P EPYC 7532 EPYC 7282 EPYC 7352 EPYC 7452 EPYC 7402P EPYC 7662 EPYC 7F72 EPYC 7642 EPYC 7502 EPYC 7552 EPYC 7702 EPYC 7502P EPYC 7542 8K 16K 24K 32K 40K SE +/- 39.46, N = 3 SE +/- 42.54, N = 3 SE +/- 11.78, N = 3 SE +/- 13.52, N = 3 SE +/- 103.35, N = 3 SE +/- 22.87, N = 3 SE +/- 133.71, N = 3 SE +/- 147.07, N = 3 SE +/- 19.61, N = 3 SE +/- 120.80, N = 3 SE +/- 165.61, N = 3 SE +/- 101.89, N = 3 SE +/- 42.20, N = 3 SE +/- 21.38, N = 3 SE +/- 31.18, N = 3 SE +/- 144.22, N = 3 SE +/- 113.22, N = 3 SE +/- 193.77, N = 3 SE +/- 88.24, N = 3 SE +/- 124.58, N = 3 16885 16933 17712 18564 23530 23600 25340 29266 29719 30684 30874 31947 32507 33122 33185 33948 34328 34356 34366 35712 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 7232P EPYC 7262 EPYC 7252 EPYC 7F32 EPYC 7F52 EPYC 7272 EPYC 7302P EPYC 7532 EPYC 7282 EPYC 7352 EPYC 7452 EPYC 7402P EPYC 7662 EPYC 7F72 EPYC 7642 EPYC 7502 EPYC 7552 EPYC 7702 EPYC 7502P EPYC 7542 6K 12K 18K 24K 30K Min: 16814.19 / Avg: 16885.02 / Max: 16950.57 Min: 16874.5 / Avg: 16933.07 / Max: 17015.81 Min: 17699.56 / Avg: 17711.97 / Max: 17735.53 Min: 18540.42 / Avg: 18564.06 / Max: 18587.26 Min: 23337.98 / Avg: 23529.58 / Max: 23692.55 Min: 23558.13 / Avg: 23599.78 / Max: 23636.98 Min: 25137.62 / Avg: 25339.61 / Max: 25592.38 Min: 29102.33 / Avg: 29266.2 / Max: 29559.66 Min: 29693.76 / Avg: 29719.02 / Max: 29757.63 Min: 30449.94 / Avg: 30683.77 / Max: 30853.3 Min: 30551.36 / Avg: 30873.5 / Max: 31101.24 Min: 31756.67 / Avg: 31947.17 / Max: 32105.07 Min: 32448.63 / Avg: 32507.36 / Max: 32589.21 Min: 33079.4 / Avg: 33121.84 / Max: 33147.58 Min: 33124.22 / Avg: 33185.44 / Max: 33226.34 Min: 33659.87 / Avg: 33948.31 / Max: 34094.55 Min: 34126.13 / Avg: 34327.72 / Max: 34517.82 Min: 33968.85 / Avg: 34356.37 / Max: 34553.08 Min: 34258.42 / Avg: 34366.01 / Max: 34540.96 Min: 35567.36 / Avg: 35712.36 / Max: 35960.34 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 7232P EPYC 7262 EPYC 7252 EPYC 7F32 EPYC 7F52 EPYC 7272 EPYC 7302P EPYC 7532 EPYC 7282 EPYC 7352 EPYC 7452 EPYC 7402P EPYC 7662 EPYC 7F72 EPYC 7642 EPYC 7502 EPYC 7702 EPYC 7552 EPYC 7502P EPYC 7542 4 8 12 16 20 SE +/- 0.034, N = 3 SE +/- 0.037, N = 3 SE +/- 0.010, N = 3 SE +/- 0.010, N = 3 SE +/- 0.046, N = 3 SE +/- 0.010, N = 3 SE +/- 0.052, N = 3 SE +/- 0.043, N = 3 SE +/- 0.006, N = 3 SE +/- 0.032, N = 3 SE +/- 0.043, N = 3 SE +/- 0.025, N = 3 SE +/- 0.008, N = 3 SE +/- 0.005, N = 3 SE +/- 0.006, N = 3 SE +/- 0.032, N = 3 SE +/- 0.044, N = 3 SE +/- 0.024, N = 3 SE +/- 0.019, N = 3 SE +/- 0.025, N = 3 14.814 14.772 14.122 13.473 10.634 10.600 9.875 8.556 8.419 8.158 8.110 7.835 7.714 7.557 7.549 7.376 7.301 7.300 7.286 7.011 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 7232P EPYC 7262 EPYC 7252 EPYC 7F32 EPYC 7F52 EPYC 7272 EPYC 7302P EPYC 7532 EPYC 7282 EPYC 7352 EPYC 7452 EPYC 7402P EPYC 7662 EPYC 7F72 EPYC 7642 EPYC 7502 EPYC 7702 EPYC 7552 EPYC 7502P EPYC 7542 4 8 12 16 20 Min: 14.76 / Avg: 14.81 / Max: 14.88 Min: 14.7 / Avg: 14.77 / Max: 14.82 Min: 14.1 / Avg: 14.12 / Max: 14.13 Min: 13.46 / Avg: 13.47 / Max: 13.49 Min: 10.56 / Avg: 10.63 / Max: 10.72 Min: 10.58 / Avg: 10.6 / Max: 10.62 Min: 9.78 / Avg: 9.88 / Max: 9.95 Min: 8.47 / Avg: 8.56 / Max: 8.6 Min: 8.41 / Avg: 8.42 / Max: 8.43 Min: 8.11 / Avg: 8.16 / Max: 8.22 Min: 8.05 / Avg: 8.11 / Max: 8.19 Min: 7.8 / Avg: 7.84 / Max: 7.88 Min: 7.7 / Avg: 7.71 / Max: 7.72 Min: 7.55 / Avg: 7.56 / Max: 7.57 Min: 7.54 / Avg: 7.55 / Max: 7.56 Min: 7.34 / Avg: 7.38 / Max: 7.44 Min: 7.26 / Avg: 7.3 / Max: 7.39 Min: 7.26 / Avg: 7.3 / Max: 7.34 Min: 7.25 / Avg: 7.29 / Max: 7.31 Min: 6.96 / Avg: 7.01 / Max: 7.04 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7702 EPYC 7662 EPYC 7532 EPYC 7642 EPYC 7402P EPYC 7452 EPYC 7F52 EPYC 7502 EPYC 7552 EPYC 7502P EPYC 7542 EPYC 7F72 9 18 27 36 45 SE +/- 0.09, N = 3 SE +/- 0.09, N = 3 SE +/- 0.07, N = 3 SE +/- 0.25, N = 3 SE +/- 0.09, N = 3 SE +/- 0.09, N = 3 SE +/- 0.12, N = 3 SE +/- 0.06, N = 3 SE +/- 0.12, N = 3 SE +/- 0.24, N = 3 SE +/- 0.12, N = 3 SE +/- 0.09, N = 3 SE +/- 0.12, N = 3 SE +/- 0.03, N = 3 SE +/- 0.21, N = 3 SE +/- 0.29, N = 3 SE +/- 0.20, N = 3 SE +/- 0.28, N = 3 SE +/- 0.10, N = 3 SE +/- 0.15, N = 3 18.6 20.6 22.3 24.5 24.7 27.4 31.8 32.5 33.9 34.1 34.9 35.0 35.2 35.2 35.7 36.0 36.0 36.3 36.7 39.2
Result Confidence
OpenBenchmarking.org FPS, More Is Better NeatBench 5 Acceleration: CPU EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7702 EPYC 7662 EPYC 7532 EPYC 7642 EPYC 7402P EPYC 7452 EPYC 7F52 EPYC 7502 EPYC 7552 EPYC 7502P EPYC 7542 EPYC 7F72 8 16 24 32 40 Min: 18.5 / Avg: 18.63 / Max: 18.8 Min: 20.4 / Avg: 20.57 / Max: 20.7 Min: 22.2 / Avg: 22.27 / Max: 22.4 Min: 24 / Avg: 24.5 / Max: 24.8 Min: 24.5 / Avg: 24.67 / Max: 24.8 Min: 27.2 / Avg: 27.37 / Max: 27.5 Min: 31.6 / Avg: 31.77 / Max: 32 Min: 32.4 / Avg: 32.5 / Max: 32.6 Min: 33.7 / Avg: 33.9 / Max: 34.1 Min: 33.8 / Avg: 34.13 / Max: 34.6 Min: 34.7 / Avg: 34.9 / Max: 35.1 Min: 34.9 / Avg: 35.03 / Max: 35.2 Min: 35 / Avg: 35.2 / Max: 35.4 Min: 35.1 / Avg: 35.17 / Max: 35.2 Min: 35.4 / Avg: 35.7 / Max: 36.1 Min: 35.5 / Avg: 35.97 / Max: 36.5 Min: 35.7 / Avg: 36.03 / Max: 36.4 Min: 35.7 / Avg: 36.27 / Max: 36.6 Min: 36.6 / Avg: 36.7 / Max: 36.9 Min: 39 / Avg: 39.2 / Max: 39.5
OpenVINO
Result
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Person Detection 0106 FP16 - Device: CPU EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7452 EPYC 7352 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7282 EPYC 7402P EPYC 7272 EPYC 7542 EPYC 7232P EPYC 7302P EPYC 7252 EPYC 7262 EPYC 7F72 EPYC 7F52 EPYC 7F32 1100 2200 3300 4400 5500 SE +/- 11.52, N = 3 SE +/- 2.00, N = 3 SE +/- 3.15, N = 3 SE +/- 1.32, N = 3 SE +/- 1.88, N = 3 SE +/- 6.05, N = 3 SE +/- 6.59, N = 3 SE +/- 1.78, N = 3 SE +/- 1.93, N = 3 SE +/- 4.06, N = 3 SE +/- 4.72, N = 3 SE +/- 12.62, N = 3 SE +/- 1.58, N = 3 SE +/- 16.19, N = 3 SE +/- 9.01, N = 3 SE +/- 6.19, N = 3 SE +/- 23.35, N = 3 SE +/- 3.89, N = 3 SE +/- 5.88, N = 3 SE +/- 9.91, N = 3 5137.70 4779.84 4182.77 4174.72 4080.51 3939.24 3826.02 3619.06 3600.68 3451.64 3376.25 3362.88 3311.76 3258.14 3241.97 3207.58 3067.72 2973.92 2665.28 2548.47 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 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7452 EPYC 7352 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7282 EPYC 7402P EPYC 7272 EPYC 7542 EPYC 7232P EPYC 7302P EPYC 7252 EPYC 7262 EPYC 7F72 EPYC 7F52 EPYC 7F32 900 1800 2700 3600 4500 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: 4077.76 / Avg: 4080.51 / Max: 4084.12 Min: 3927.14 / Avg: 3939.24 / Max: 3945.37 Min: 3813.1 / Avg: 3826.02 / Max: 3834.69 Min: 3615.77 / Avg: 3619.06 / Max: 3621.88 Min: 3597.6 / Avg: 3600.68 / Max: 3604.23 Min: 3443.53 / Avg: 3451.64 / Max: 3455.81 Min: 3371.39 / Avg: 3376.25 / Max: 3385.68 Min: 3346.38 / Avg: 3362.88 / Max: 3387.66 Min: 3308.61 / Avg: 3311.76 / Max: 3313.54 Min: 3225.88 / Avg: 3258.14 / Max: 3276.8 Min: 3224.92 / Avg: 3241.97 / Max: 3255.55 Min: 3197.37 / Avg: 3207.58 / Max: 3218.74 Min: 3031.11 / Avg: 3067.72 / Max: 3111.13 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 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 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7452 EPYC 7352 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7282 EPYC 7402P EPYC 7272 EPYC 7542 EPYC 7232P EPYC 7302P EPYC 7252 EPYC 7262 EPYC 7F72 EPYC 7F52 EPYC 7F32 1100 2200 3300 4400 5500 SE +/- 8.48, N = 3 SE +/- 2.34, N = 3 SE +/- 9.81, N = 3 SE +/- 3.22, N = 3 SE +/- 1.42, N = 3 SE +/- 6.48, N = 3 SE +/- 2.37, N = 3 SE +/- 1.05, N = 3 SE +/- 3.84, N = 3 SE +/- 0.78, N = 3 SE +/- 6.01, N = 3 SE +/- 6.01, N = 3 SE +/- 2.06, N = 3 SE +/- 5.39, N = 3 SE +/- 4.71, N = 3 SE +/- 8.95, N = 3 SE +/- 15.09, N = 3 SE +/- 6.36, N = 3 SE +/- 8.51, N = 3 SE +/- 12.31, N = 3 5139.16 4774.55 4184.58 4162.17 4075.64 3930.30 3814.20 3617.50 3605.38 3447.77 3382.71 3352.05 3310.57 3230.48 3229.97 3205.71 3089.44 2997.78 2660.52 2554.61 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 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7452 EPYC 7352 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7282 EPYC 7402P EPYC 7272 EPYC 7542 EPYC 7232P EPYC 7302P EPYC 7252 EPYC 7262 EPYC 7F72 EPYC 7F52 EPYC 7F32 900 1800 2700 3600 4500 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: 4073.01 / Avg: 4075.64 / Max: 4077.88 Min: 3923.6 / Avg: 3930.3 / Max: 3943.26 Min: 3809.51 / Avg: 3814.2 / Max: 3817.18 Min: 3615.55 / Avg: 3617.5 / Max: 3619.16 Min: 3600.71 / Avg: 3605.38 / Max: 3612.99 Min: 3446.6 / Avg: 3447.77 / Max: 3449.26 Min: 3374.5 / Avg: 3382.71 / Max: 3394.41 Min: 3342.94 / Avg: 3352.05 / Max: 3363.39 Min: 3306.45 / Avg: 3310.57 / Max: 3312.87 Min: 3219.85 / Avg: 3230.48 / Max: 3237.36 Min: 3222.4 / Avg: 3229.97 / Max: 3238.62 Min: 3188.67 / Avg: 3205.71 / Max: 3218.97 Min: 3059.83 / Avg: 3089.44 / Max: 3109.34 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 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7532 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 200M 400M 600M 800M 1000M SE +/- 191997.00, N = 3 SE +/- 509017.81, N = 3 SE +/- 582055.48, N = 3 SE +/- 506097.03, N = 3 SE +/- 1200697.76, N = 3 SE +/- 1775182.63, N = 3 SE +/- 828548.78, N = 3 SE +/- 3887259.11, N = 3 SE +/- 5582686.96, N = 4 SE +/- 7267307.29, N = 3 SE +/- 1557290.44, N = 3 SE +/- 7505047.53, N = 3 SE +/- 2320863.50, N = 3 SE +/- 6501806.47, N = 3 SE +/- 3827416.70, N = 3 SE +/- 6691126.83, N = 3 SE +/- 12958817.78, N = 3 SE +/- 14142485.95, N = 4 SE +/- 8607660.07, N = 3 SE +/- 14941610.79, N = 5 63595537.41 83844100.09 105775501.86 117957703.69 131137677.35 187592330.55 244187311.27 326966719.16 384604006.18 424917536.89 508508378.36 590141135.13 616294829.53 628761361.90 638506395.09 735684027.48 903000809.74 986299971.45 1123083708.67 1149281981.04 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: Malloc EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7F72 EPYC 7452 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7532 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 200M 400M 600M 800M 1000M Min: 63314674.99 / Avg: 63595537.41 / Max: 63962741.13 Min: 82858529.24 / Avg: 83844100.09 / Max: 84557758.69 Min: 104768693.64 / Avg: 105775501.86 / Max: 106784987.65 Min: 116945789.82 / Avg: 117957703.69 / Max: 118484284.65 Min: 129775143.86 / Avg: 131137677.35 / Max: 133531442.9 Min: 184309391.65 / Avg: 187592330.55 / Max: 190404506.75 Min: 243331735.41 / Avg: 244187311.27 / Max: 245844111.69 Min: 319750773.34 / Avg: 326966719.16 / Max: 333080673.82 Min: 373668851.33 / Avg: 384604006.18 / Max: 394823176.17 Min: 414962112.87 / Avg: 424917536.89 / Max: 439066312.92 Min: 506299751.97 / Avg: 508508378.36 / Max: 511514516.37 Min: 578590393.16 / Avg: 590141135.13 / Max: 604217860.55 Min: 613464334.56 / Avg: 616294829.53 / Max: 620896053.44 Min: 620992825.66 / Avg: 628761361.9 / Max: 641676568.26 Min: 631017463.82 / Avg: 638506395.09 / Max: 643623554.11 Min: 728939655.18 / Avg: 735684027.48 / Max: 749066139.53 Min: 887501124.56 / Avg: 903000809.74 / Max: 928739890.61 Min: 960346669.18 / Avg: 986299971.45 / Max: 1017067226.89 Min: 1108609374.59 / Avg: 1123083708.67 / Max: 1138392162.81 Min: 1124258696.24 / Avg: 1149281981.04 / Max: 1207808686.44 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 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7532 EPYC 7452 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7352 EPYC 7402P EPYC 7282 EPYC 7302P EPYC 7272 EPYC 7252 EPYC 7F72 EPYC 7232P EPYC 7262 EPYC 7F52 EPYC 7F32 50 100 150 200 250 SE +/- 0.15, N = 3 SE +/- 0.10, N = 3 SE +/- 0.26, N = 3 SE +/- 0.50, N = 3 SE +/- 0.12, N = 3 SE +/- 0.11, N = 3 SE +/- 0.17, N = 3 SE +/- 0.21, N = 3 SE +/- 0.19, N = 3 SE +/- 0.15, N = 3 SE +/- 0.15, N = 3 SE +/- 0.14, N = 3 SE +/- 0.07, N = 3 SE +/- 0.30, N = 3 SE +/- 0.11, N = 3 SE +/- 0.07, N = 3 SE +/- 0.12, N = 3 SE +/- 0.19, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 235.71 233.99 210.42 209.73 184.93 178.14 177.15 177.12 173.90 172.65 164.12 154.16 152.56 150.37 145.16 142.29 142.11 136.25 131.90 118.05 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 7662 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7532 EPYC 7452 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7352 EPYC 7402P EPYC 7282 EPYC 7302P EPYC 7272 EPYC 7252 EPYC 7F72 EPYC 7232P EPYC 7262 EPYC 7F52 EPYC 7F32 40 80 120 160 200 Min: 235.48 / Avg: 235.71 / Max: 235.99 Min: 233.79 / Avg: 233.98 / Max: 234.09 Min: 209.97 / Avg: 210.42 / Max: 210.89 Min: 209.23 / Avg: 209.73 / Max: 210.73 Min: 184.68 / Avg: 184.93 / Max: 185.07 Min: 177.99 / Avg: 178.14 / Max: 178.35 Min: 176.81 / Avg: 177.15 / Max: 177.32 Min: 176.76 / Avg: 177.12 / Max: 177.49 Min: 173.55 / Avg: 173.9 / Max: 174.18 Min: 172.5 / Avg: 172.65 / Max: 172.96 Min: 163.95 / Avg: 164.12 / Max: 164.42 Min: 153.9 / Avg: 154.16 / Max: 154.39 Min: 152.43 / Avg: 152.56 / Max: 152.67 Min: 150.06 / Avg: 150.37 / Max: 150.97 Min: 144.94 / Avg: 145.16 / Max: 145.27 Min: 142.2 / Avg: 142.29 / Max: 142.43 Min: 141.91 / Avg: 142.11 / Max: 142.32 Min: 135.91 / Avg: 136.25 / Max: 136.57 Min: 131.83 / Avg: 131.9 / Max: 132 Min: 117.99 / Avg: 118.05 / Max: 118.14 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 7262 EPYC 7232P EPYC 7352 EPYC 7532 EPYC 7282 EPYC 7552 EPYC 7452 EPYC 7402P EPYC 7272 EPYC 7502 EPYC 7542 EPYC 7F32 EPYC 7662 EPYC 7252 EPYC 7702 EPYC 7642 EPYC 7302P EPYC 7502P EPYC 7F72 EPYC 7F52 1200 2400 3600 4800 6000 SE +/- 24.73, N = 15 SE +/- 42.15, N = 3 SE +/- 44.07, N = 4 SE +/- 33.29, N = 15 SE +/- 33.02, N = 15 SE +/- 35.10, N = 3 SE +/- 32.77, N = 15 SE +/- 53.48, N = 3 SE +/- 63.07, N = 3 SE +/- 43.70, N = 15 SE +/- 24.85, N = 3 SE +/- 62.95, N = 3 SE +/- 47.30, N = 3 SE +/- 16.76, N = 3 SE +/- 30.93, N = 3 SE +/- 8.14, N = 3 SE +/- 1.33, N = 3 SE +/- 36.29, N = 3 SE +/- 24.66, N = 3 SE +/- 4.04, N = 3 2839 2850 2971 3003 3359 3762 4000 4014 4078 4316 4350 4515 4719 4806 4887 4937 5135 5226 5448 5661 1. Nodejs
v12.18.2
Result Confidence
OpenBenchmarking.org Requests Per Second, More Is Better Node.js Express HTTP Load Test EPYC 7262 EPYC 7232P EPYC 7352 EPYC 7532 EPYC 7282 EPYC 7552 EPYC 7452 EPYC 7402P EPYC 7272 EPYC 7502 EPYC 7542 EPYC 7F32 EPYC 7662 EPYC 7252 EPYC 7702 EPYC 7642 EPYC 7302P EPYC 7502P EPYC 7F72 EPYC 7F52 1000 2000 3000 4000 5000 Min: 2724 / Avg: 2839 / Max: 3060 Min: 2767 / Avg: 2850.33 / Max: 2903 Min: 2858 / Avg: 2971.25 / Max: 3059 Min: 2748 / Avg: 3002.73 / Max: 3153 Min: 3068 / Avg: 3359.4 / Max: 3589 Min: 3698 / Avg: 3762 / Max: 3819 Min: 3662 / Avg: 4000 / Max: 4169 Min: 3933 / Avg: 4014 / Max: 4115 Min: 3996 / Avg: 4078 / Max: 4202 Min: 3849 / Avg: 4316.33 / Max: 4532 Min: 4306 / Avg: 4350 / Max: 4392 Min: 4404 / Avg: 4514.67 / Max: 4622 Min: 4633 / Avg: 4719.33 / Max: 4796 Min: 4786 / Avg: 4805.67 / Max: 4839 Min: 4849 / Avg: 4886.67 / Max: 4948 Min: 4924 / Avg: 4937 / Max: 4952 Min: 5134 / Avg: 5135.33 / Max: 5138 Min: 5160 / Avg: 5226.33 / Max: 5285 Min: 5415 / Avg: 5447.67 / Max: 5496 Min: 5656 / Avg: 5661 / Max: 5669 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 7702 EPYC 7642 EPYC 7662 EPYC 7552 EPYC 7232P EPYC 7252 EPYC 7352 EPYC 7532 EPYC 7272 EPYC 7262 EPYC 7302P EPYC 7502 EPYC 7F72 EPYC 7F32 EPYC 7502P EPYC 7F52 EPYC 7452 EPYC 7542 EPYC 7402P EPYC 7282 8 16 24 32 40 SE +/- 0.19, N = 3 SE +/- 0.05, N = 3 SE +/- 0.20, N = 3 SE +/- 0.16, N = 3 SE +/- 0.36, N = 4 SE +/- 0.18, N = 15 SE +/- 0.31, N = 15 SE +/- 0.29, N = 3 SE +/- 0.25, N = 3 SE +/- 0.18, N = 3 SE +/- 0.28, N = 3 SE +/- 0.61, N = 12 SE +/- 0.37, N = 3 SE +/- 0.11, N = 3 SE +/- 0.31, N = 3 SE +/- 0.18, N = 10 SE +/- 0.23, N = 3 SE +/- 0.21, N = 8 SE +/- 0.12, N = 3 SE +/- 0.04, N = 3 36.64 28.15 28.08 24.97 24.42 24.25 23.85 23.83 23.23 23.00 22.29 21.89 21.57 21.25 20.25 20.22 20.13 20.00 19.02 18.55 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: squeezenet EPYC 7702 EPYC 7642 EPYC 7662 EPYC 7552 EPYC 7232P EPYC 7252 EPYC 7352 EPYC 7532 EPYC 7272 EPYC 7262 EPYC 7302P EPYC 7502 EPYC 7F72 EPYC 7F32 EPYC 7502P EPYC 7F52 EPYC 7452 EPYC 7542 EPYC 7402P EPYC 7282 8 16 24 32 40 Min: 36.28 / Avg: 36.64 / Max: 36.92 Min: 28.1 / Avg: 28.15 / Max: 28.25 Min: 27.7 / Avg: 28.08 / Max: 28.39 Min: 24.66 / Avg: 24.97 / Max: 25.17 Min: 23.48 / Avg: 24.42 / Max: 25.1 Min: 23.38 / Avg: 24.25 / Max: 25.52 Min: 22.12 / Avg: 23.85 / Max: 26.12 Min: 23.3 / Avg: 23.83 / Max: 24.31 Min: 22.73 / Avg: 23.23 / Max: 23.51 Min: 22.72 / Avg: 23 / Max: 23.33 Min: 21.75 / Avg: 22.29 / Max: 22.7 Min: 19.57 / Avg: 21.89 / Max: 25.19 Min: 20.9 / Avg: 21.57 / Max: 22.16 Min: 21.04 / Avg: 21.25 / Max: 21.4 Min: 19.66 / Avg: 20.25 / Max: 20.73 Min: 19.04 / Avg: 20.22 / Max: 20.93 Min: 19.89 / Avg: 20.13 / Max: 20.59 Min: 19.41 / Avg: 20 / Max: 21.27 Min: 18.89 / Avg: 19.02 / Max: 19.26 Min: 18.46 / Avg: 18.55 / Max: 18.6 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 7262 EPYC 7232P EPYC 7252 EPYC 7F32 EPYC 7F52 EPYC 7272 EPYC 7302P EPYC 7642 EPYC 7532 EPYC 7452 EPYC 7282 EPYC 7352 EPYC 7552 EPYC 7402P EPYC 7662 EPYC 7F72 EPYC 7502P EPYC 7502 EPYC 7702 EPYC 7542 8K 16K 24K 32K 40K SE +/- 27.93, N = 3 SE +/- 6.01, N = 3 SE +/- 17.46, N = 3 SE +/- 18.08, N = 3 SE +/- 117.64, N = 3 SE +/- 16.91, N = 3 SE +/- 7.57, N = 3 SE +/- 102.56, N = 3 SE +/- 86.15, N = 3 SE +/- 51.77, N = 3 SE +/- 146.28, N = 3 SE +/- 29.87, N = 3 SE +/- 118.60, N = 3 SE +/- 83.89, N = 3 SE +/- 101.15, N = 3 SE +/- 148.55, N = 3 SE +/- 103.00, N = 3 SE +/- 21.81, N = 3 SE +/- 299.63, N = 3 SE +/- 78.00, N = 3 18060 18537 19383 19700 25093 26523 27933 30867 30982 31451 31841 31848 32370 32549 33238 33552 33924 33986 34154 35592 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 7262 EPYC 7232P EPYC 7252 EPYC 7F32 EPYC 7F52 EPYC 7272 EPYC 7302P EPYC 7642 EPYC 7532 EPYC 7452 EPYC 7282 EPYC 7352 EPYC 7552 EPYC 7402P EPYC 7662 EPYC 7F72 EPYC 7502P EPYC 7502 EPYC 7702 EPYC 7542 6K 12K 18K 24K 30K Min: 18028.59 / Avg: 18060.48 / Max: 18116.14 Min: 18525.46 / Avg: 18537.25 / Max: 18545.21 Min: 19360.66 / Avg: 19382.71 / Max: 19417.19 Min: 19663.54 / Avg: 19699.69 / Max: 19718.67 Min: 24912.02 / Avg: 25092.89 / Max: 25313.65 Min: 26491.7 / Avg: 26523.04 / Max: 26549.72 Min: 27921.58 / Avg: 27932.63 / Max: 27947.12 Min: 30698.16 / Avg: 30866.88 / Max: 31052.26 Min: 30849.2 / Avg: 30982.07 / Max: 31143.51 Min: 31352.08 / Avg: 31450.92 / Max: 31527.01 Min: 31637.31 / Avg: 31841.25 / Max: 32124.87 Min: 31809.01 / Avg: 31848.24 / Max: 31906.87 Min: 32178.15 / Avg: 32369.75 / Max: 32586.65 Min: 32428.24 / Avg: 32548.65 / Max: 32710.05 Min: 33083.24 / Avg: 33238.13 / Max: 33428.27 Min: 33256.53 / Avg: 33552.19 / Max: 33725.41 Min: 33718.43 / Avg: 33924.16 / Max: 34036.14 Min: 33945.7 / Avg: 33985.57 / Max: 34020.84 Min: 33721.02 / Avg: 34154.35 / Max: 34729.48 Min: 35443.76 / Avg: 35592.46 / Max: 35707.68 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 7262 EPYC 7232P EPYC 7252 EPYC 7F32 EPYC 7F52 EPYC 7272 EPYC 7302P EPYC 7642 EPYC 7532 EPYC 7452 EPYC 7352 EPYC 7282 EPYC 7552 EPYC 7402P EPYC 7662 EPYC 7F72 EPYC 7502P EPYC 7502 EPYC 7702 EPYC 7542 1.2465 2.493 3.7395 4.986 6.2325 SE +/- 0.009, N = 3 SE +/- 0.002, N = 3 SE +/- 0.005, N = 3 SE +/- 0.005, N = 3 SE +/- 0.019, N = 3 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 SE +/- 0.010, N = 3 SE +/- 0.009, N = 3 SE +/- 0.005, N = 3 SE +/- 0.003, N = 3 SE +/- 0.014, N = 3 SE +/- 0.012, N = 3 SE +/- 0.008, N = 3 SE +/- 0.009, N = 3 SE +/- 0.014, N = 3 SE +/- 0.009, N = 3 SE +/- 0.002, N = 3 SE +/- 0.025, N = 3 SE +/- 0.006, N = 3 5.540 5.397 5.162 5.079 3.989 3.773 3.584 3.245 3.232 3.184 3.144 3.144 3.095 3.076 3.014 2.984 2.952 2.947 2.934 2.814 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: 100 - Clients: 100 - Mode: Read Write - Average Latency EPYC 7262 EPYC 7232P EPYC 7252 EPYC 7F32 EPYC 7F52 EPYC 7272 EPYC 7302P EPYC 7642 EPYC 7532 EPYC 7452 EPYC 7352 EPYC 7282 EPYC 7552 EPYC 7402P EPYC 7662 EPYC 7F72 EPYC 7502P EPYC 7502 EPYC 7702 EPYC 7542 2 4 6 8 10 Min: 5.52 / Avg: 5.54 / Max: 5.55 Min: 5.4 / Avg: 5.4 / Max: 5.4 Min: 5.15 / Avg: 5.16 / Max: 5.17 Min: 5.07 / Avg: 5.08 / Max: 5.09 Min: 3.95 / Avg: 3.99 / Max: 4.02 Min: 3.77 / Avg: 3.77 / Max: 3.78 Min: 3.58 / Avg: 3.58 / Max: 3.59 Min: 3.23 / Avg: 3.25 / Max: 3.26 Min: 3.22 / Avg: 3.23 / Max: 3.25 Min: 3.18 / Avg: 3.18 / Max: 3.19 Min: 3.14 / Avg: 3.14 / Max: 3.15 Min: 3.12 / Avg: 3.14 / Max: 3.16 Min: 3.07 / Avg: 3.1 / Max: 3.11 Min: 3.06 / Avg: 3.08 / Max: 3.09 Min: 3 / Avg: 3.01 / Max: 3.03 Min: 2.97 / Avg: 2.98 / Max: 3.01 Min: 2.94 / Avg: 2.95 / Max: 2.97 Min: 2.94 / Avg: 2.95 / Max: 2.95 Min: 2.89 / Avg: 2.93 / Max: 2.97 Min: 2.81 / Avg: 2.81 / Max: 2.83 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 7702 EPYC 7232P EPYC 7252 EPYC 7272 EPYC 7662 EPYC 7642 EPYC 7262 EPYC 7352 EPYC 7F32 EPYC 7552 EPYC 7282 EPYC 7532 EPYC 7302P EPYC 7F52 EPYC 7F72 EPYC 7502 EPYC 7452 EPYC 7502P EPYC 7542 EPYC 7402P 14 28 42 56 70 SE +/- 0.41, N = 3 SE +/- 0.19, N = 4 SE +/- 0.25, N = 15 SE +/- 0.19, N = 3 SE +/- 0.54, N = 3 SE +/- 0.41, N = 3 SE +/- 0.17, N = 3 SE +/- 0.31, N = 15 SE +/- 0.35, N = 3 SE +/- 0.17, N = 3 SE +/- 0.34, N = 3 SE +/- 0.72, N = 3 SE +/- 0.87, N = 3 SE +/- 0.68, N = 10 SE +/- 0.32, N = 3 SE +/- 1.29, N = 12 SE +/- 0.84, N = 3 SE +/- 0.76, N = 3 SE +/- 0.15, N = 8 SE +/- 0.31, N = 3 63.71 50.01 49.39 49.36 43.92 43.46 43.06 41.99 40.01 39.93 39.31 38.80 37.89 37.18 36.97 36.74 33.55 33.03 32.64 32.49 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: vgg16 EPYC 7702 EPYC 7232P EPYC 7252 EPYC 7272 EPYC 7662 EPYC 7642 EPYC 7262 EPYC 7352 EPYC 7F32 EPYC 7552 EPYC 7282 EPYC 7532 EPYC 7302P EPYC 7F52 EPYC 7F72 EPYC 7502 EPYC 7452 EPYC 7502P EPYC 7542 EPYC 7402P 12 24 36 48 60 Min: 63.27 / Avg: 63.71 / Max: 64.54 Min: 49.52 / Avg: 50.01 / Max: 50.37 Min: 47.72 / Avg: 49.39 / Max: 51.72 Min: 48.98 / Avg: 49.36 / Max: 49.63 Min: 43.08 / Avg: 43.92 / Max: 44.93 Min: 42.79 / Avg: 43.46 / Max: 44.19 Min: 42.85 / Avg: 43.06 / Max: 43.39 Min: 39.76 / Avg: 41.99 / Max: 43.74 Min: 39.57 / Avg: 40.01 / Max: 40.7 Min: 39.66 / Avg: 39.93 / Max: 40.24 Min: 38.86 / Avg: 39.31 / Max: 39.99 Min: 37.36 / Avg: 38.8 / Max: 39.61 Min: 36.71 / Avg: 37.89 / Max: 39.58 Min: 31.85 / Avg: 37.18 / Max: 39.52 Min: 36.47 / Avg: 36.97 / Max: 37.57 Min: 32.24 / Avg: 36.74 / Max: 43.77 Min: 32.39 / Avg: 33.55 / Max: 35.17 Min: 32.11 / Avg: 33.03 / Max: 34.53 Min: 32.07 / Avg: 32.64 / Max: 33.38 Min: 32.12 / Avg: 32.49 / Max: 33.11 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 7702 EPYC 7252 EPYC 7662 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7552 EPYC 7642 EPYC 7352 EPYC 7532 EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7282 EPYC 7302P EPYC 7402P EPYC 7542 EPYC 7F52 EPYC 7F72 100 200 300 400 500 SE +/- 1.45, N = 3 SE +/- 1.53, N = 3 SE +/- 2.80, N = 3 SE +/- 4.52, N = 3 SE +/- 0.85, N = 3 SE +/- 3.22, N = 3 SE +/- 2.39, N = 3 SE +/- 0.55, N = 3 SE +/- 1.67, N = 3 SE +/- 1.50, N = 3 SE +/- 0.34, N = 3 SE +/- 3.37, N = 3 SE +/- 0.12, N = 3 SE +/- 0.92, N = 3 SE +/- 2.12, N = 3 SE +/- 1.62, N = 3 SE +/- 1.16, N = 3 SE +/- 1.68, N = 3 SE +/- 0.42, N = 3 SE +/- 0.17, N = 3 442.85 392.82 381.92 373.07 355.52 354.73 334.58 330.09 309.36 305.55 289.88 277.10 271.54 265.01 260.47 260.18 252.12 251.43 230.35 227.11 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 7702 EPYC 7252 EPYC 7662 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7552 EPYC 7642 EPYC 7352 EPYC 7532 EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7282 EPYC 7302P EPYC 7402P EPYC 7542 EPYC 7F52 EPYC 7F72 80 160 240 320 400 Min: 440.47 / Avg: 442.85 / Max: 445.47 Min: 389.93 / Avg: 392.82 / Max: 395.14 Min: 376.52 / Avg: 381.92 / Max: 385.92 Min: 364.04 / Avg: 373.07 / Max: 377.83 Min: 353.9 / Avg: 355.52 / Max: 356.77 Min: 348.31 / Avg: 354.72 / Max: 358.52 Min: 330.36 / Avg: 334.58 / Max: 338.64 Min: 329.07 / Avg: 330.09 / Max: 330.98 Min: 306.05 / Avg: 309.36 / Max: 311.45 Min: 302.75 / Avg: 305.55 / Max: 307.86 Min: 289.39 / Avg: 289.88 / Max: 290.54 Min: 270.87 / Avg: 277.1 / Max: 282.42 Min: 271.34 / Avg: 271.54 / Max: 271.75 Min: 264.04 / Avg: 265.01 / Max: 266.85 Min: 256.85 / Avg: 260.47 / Max: 264.18 Min: 258.39 / Avg: 260.18 / Max: 263.42 Min: 250.69 / Avg: 252.12 / Max: 254.42 Min: 248.87 / Avg: 251.43 / Max: 254.59 Min: 229.56 / Avg: 230.35 / Max: 230.99 Min: 226.77 / Avg: 227.11 / Max: 227.31 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 7702 EPYC 7252 EPYC 7352 EPYC 7272 EPYC 7232P EPYC 7642 EPYC 7662 EPYC 7262 EPYC 7532 EPYC 7552 EPYC 7502 EPYC 7302P EPYC 7F32 EPYC 7452 EPYC 7542 EPYC 7F72 EPYC 7282 EPYC 7502P EPYC 7402P EPYC 7F52 6 12 18 24 30 SE +/- 0.55, N = 3 SE +/- 1.89, N = 15 SE +/- 0.13, N = 15 SE +/- 0.26, N = 3 SE +/- 0.07, N = 4 SE +/- 0.20, N = 3 SE +/- 0.40, N = 3 SE +/- 0.09, N = 3 SE +/- 0.45, N = 3 SE +/- 0.08, N = 3 SE +/- 0.45, N = 12 SE +/- 0.05, N = 3 SE +/- 0.34, N = 3 SE +/- 0.15, N = 3 SE +/- 0.07, N = 8 SE +/- 0.28, N = 3 SE +/- 0.09, N = 3 SE +/- 0.21, N = 3 SE +/- 0.16, N = 3 SE +/- 0.23, N = 10 25.93 19.41 17.89 17.65 17.52 17.33 17.01 16.15 16.09 16.02 15.76 15.20 15.19 15.11 14.73 14.69 14.40 14.18 13.72 13.40 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: resnet18 EPYC 7702 EPYC 7252 EPYC 7352 EPYC 7272 EPYC 7232P EPYC 7642 EPYC 7662 EPYC 7262 EPYC 7532 EPYC 7552 EPYC 7502 EPYC 7302P EPYC 7F32 EPYC 7452 EPYC 7542 EPYC 7F72 EPYC 7282 EPYC 7502P EPYC 7402P EPYC 7F52 6 12 18 24 30 Min: 24.86 / Avg: 25.93 / Max: 26.68 Min: 16.74 / Avg: 19.41 / Max: 45.87 Min: 17.07 / Avg: 17.89 / Max: 18.64 Min: 17.2 / Avg: 17.65 / Max: 18.09 Min: 17.32 / Avg: 17.52 / Max: 17.67 Min: 16.94 / Avg: 17.33 / Max: 17.63 Min: 16.41 / Avg: 17.01 / Max: 17.77 Min: 16.02 / Avg: 16.15 / Max: 16.32 Min: 15.41 / Avg: 16.09 / Max: 16.94 Min: 15.93 / Avg: 16.02 / Max: 16.19 Min: 14.25 / Avg: 15.76 / Max: 18.49 Min: 15.11 / Avg: 15.2 / Max: 15.28 Min: 14.59 / Avg: 15.19 / Max: 15.77 Min: 14.83 / Avg: 15.11 / Max: 15.36 Min: 14.45 / Avg: 14.73 / Max: 15.08 Min: 14.13 / Avg: 14.69 / Max: 14.97 Min: 14.27 / Avg: 14.4 / Max: 14.57 Min: 13.84 / Avg: 14.18 / Max: 14.56 Min: 13.53 / Avg: 13.72 / Max: 14.03 Min: 11.54 / Avg: 13.4 / Max: 14.2 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 7282 EPYC 7232P EPYC 7272 EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7452 EPYC 7502 EPYC 7542 EPYC 7502P EPYC 7352 EPYC 7402P EPYC 7302P EPYC 7F72 EPYC 7532 EPYC 7552 EPYC 7702 EPYC 7642 EPYC 7662 EPYC 7F52 1000 2000 3000 4000 5000 SE +/- 10.08, N = 3 SE +/- 6.48, N = 3 SE +/- 22.86, N = 3 SE +/- 36.62, N = 3 SE +/- 25.69, N = 3 SE +/- 50.65, N = 3 SE +/- 7.26, N = 3 SE +/- 9.20, N = 3 SE +/- 4.44, N = 3 SE +/- 1.04, N = 3 SE +/- 49.86, N = 4 SE +/- 12.02, N = 3 SE +/- 13.48, N = 3 SE +/- 6.12, N = 3 SE +/- 33.00, N = 3 SE +/- 5.39, N = 3 SE +/- 19.98, N = 3 SE +/- 12.60, N = 3 SE +/- 5.69, N = 3 SE +/- 1.58, N = 3 2334.81 2345.90 2368.92 2390.87 3072.62 3088.71 3622.05 3634.42 3646.83 3650.99 3651.00 3718.88 3861.21 4225.37 4254.94 4265.80 4352.03 4389.41 4445.33 4501.69 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 7282 EPYC 7232P EPYC 7272 EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7452 EPYC 7502 EPYC 7542 EPYC 7502P EPYC 7352 EPYC 7402P EPYC 7302P EPYC 7F72 EPYC 7532 EPYC 7552 EPYC 7702 EPYC 7642 EPYC 7662 EPYC 7F52 800 1600 2400 3200 4000 Min: 2324.11 / Avg: 2334.81 / Max: 2354.95 Min: 2333.02 / Avg: 2345.9 / Max: 2353.64 Min: 2330.47 / Avg: 2368.92 / Max: 2409.56 Min: 2317.79 / Avg: 2390.87 / Max: 2431.56 Min: 3025.64 / Avg: 3072.62 / Max: 3114.11 Min: 2987.44 / Avg: 3088.71 / Max: 3141.66 Min: 3613.31 / Avg: 3622.05 / Max: 3636.45 Min: 3620.99 / Avg: 3634.42 / Max: 3652.03 Min: 3638 / Avg: 3646.83 / Max: 3652.03 Min: 3648.9 / Avg: 3650.99 / Max: 3652.03 Min: 3503.37 / Avg: 3651 / Max: 3717.36 Min: 3700.14 / Avg: 3718.88 / Max: 3741.3 Min: 3841.39 / Avg: 3861.21 / Max: 3886.95 Min: 4217.92 / Avg: 4225.37 / Max: 4237.5 Min: 4190.95 / Avg: 4254.94 / Max: 4300.96 Min: 4255.84 / Avg: 4265.8 / Max: 4274.34 Min: 4314.02 / Avg: 4352.03 / Max: 4381.69 Min: 4376.81 / Avg: 4389.41 / Max: 4414.61 Min: 4434.14 / Avg: 4445.33 / Max: 4452.67 Min: 4498.52 / Avg: 4501.69 / Max: 4503.27 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 7262 EPYC 7252 EPYC 7F32 EPYC 7232P EPYC 7662 EPYC 7532 EPYC 7702 EPYC 7352 EPYC 7272 EPYC 7452 EPYC 7552 EPYC 7302P EPYC 7642 EPYC 7F52 EPYC 7502 EPYC 7502P EPYC 7402P EPYC 7542 EPYC 7F72 EPYC 7282 100 200 300 400 500 SE +/- 0.52, N = 3 SE +/- 0.57, N = 3 SE +/- 2.03, N = 3 SE +/- 0.77, N = 3 SE +/- 0.51, N = 3 SE +/- 0.52, N = 3 SE +/- 1.03, N = 3 SE +/- 0.69, N = 3 SE +/- 0.53, N = 3 SE +/- 0.17, N = 3 SE +/- 0.49, N = 3 SE +/- 0.13, N = 3 SE +/- 0.79, N = 3 SE +/- 0.61, N = 3 SE +/- 0.63, N = 3 SE +/- 0.58, N = 3 SE +/- 0.35, N = 3 SE +/- 0.53, N = 3 SE +/- 0.93, N = 3 SE +/- 0.73, N = 3 236 263 279 280 354 355 356 376 377 377 378 383 383 387 408 409 415 432 451 454 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 7262 EPYC 7252 EPYC 7F32 EPYC 7232P EPYC 7662 EPYC 7532 EPYC 7702 EPYC 7352 EPYC 7272 EPYC 7452 EPYC 7552 EPYC 7302P EPYC 7642 EPYC 7F52 EPYC 7502 EPYC 7502P EPYC 7402P EPYC 7542 EPYC 7F72 EPYC 7282 80 160 240 320 400 Min: 235.52 / Avg: 236.32 / Max: 237.3 Min: 261.92 / Avg: 262.58 / Max: 263.71 Min: 275.41 / Avg: 279.23 / Max: 282.33 Min: 278.24 / Avg: 279.59 / Max: 280.9 Min: 353.36 / Avg: 354.15 / Max: 355.11 Min: 354.36 / Avg: 355.33 / Max: 356.13 Min: 354.74 / Avg: 356.47 / Max: 358.29 Min: 375.23 / Avg: 375.99 / Max: 377.36 Min: 375.94 / Avg: 376.84 / Max: 377.79 Min: 377.22 / Avg: 377.45 / Max: 377.79 Min: 376.79 / Avg: 377.64 / Max: 378.5 Min: 382.85 / Avg: 383.09 / Max: 383.29 Min: 381.97 / Avg: 383.1 / Max: 384.62 Min: 386.1 / Avg: 386.85 / Max: 388.05 Min: 407.17 / Avg: 408.22 / Max: 409.33 Min: 408.16 / Avg: 409.17 / Max: 410.17 Min: 414.08 / Avg: 414.65 / Max: 415.28 Min: 431.59 / Avg: 432.22 / Max: 433.28 Min: 449.84 / Avg: 451.06 / Max: 452.9 Min: 453.31 / Avg: 454.13 / Max: 455.58 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 7702 EPYC 7662 EPYC 7552 EPYC 7642 EPYC 7452 EPYC 7352 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7282 EPYC 7402P EPYC 7542 EPYC 7302P EPYC 7252 EPYC 7232P EPYC 7272 EPYC 7262 EPYC 7F72 EPYC 7F52 EPYC 7F32 800 1600 2400 3200 4000 SE +/- 14.96, N = 3 SE +/- 4.17, N = 3 SE +/- 1.56, N = 3 SE +/- 0.89, N = 3 SE +/- 1.26, N = 3 SE +/- 4.14, N = 3 SE +/- 2.71, N = 3 SE +/- 1.08, N = 3 SE +/- 1.51, N = 3 SE +/- 4.62, N = 3 SE +/- 3.22, N = 3 SE +/- 2.01, N = 3 SE +/- 4.74, N = 3 SE +/- 6.54, N = 3 SE +/- 13.27, N = 3 SE +/- 3.30, N = 3 SE +/- 2.33, N = 3 SE +/- 2.69, N = 3 SE +/- 7.58, N = 3 SE +/- 4.52, N = 3 3839.87 3508.02 3248.81 3092.81 3070.66 2991.16 2896.79 2805.48 2792.73 2677.81 2614.51 2604.68 2600.47 2600.15 2597.69 2586.14 2436.75 2275.81 2056.94 1998.07 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 7702 EPYC 7662 EPYC 7552 EPYC 7642 EPYC 7452 EPYC 7352 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7282 EPYC 7402P EPYC 7542 EPYC 7302P EPYC 7252 EPYC 7232P EPYC 7272 EPYC 7262 EPYC 7F72 EPYC 7F52 EPYC 7F32 700 1400 2100 2800 3500 Min: 3819.73 / Avg: 3839.87 / Max: 3869.1 Min: 3499.99 / Avg: 3508.02 / Max: 3514.01 Min: 3246.75 / Avg: 3248.81 / Max: 3251.86 Min: 3091.18 / Avg: 3092.81 / Max: 3094.24 Min: 3069.11 / Avg: 3070.66 / Max: 3073.15 Min: 2982.89 / Avg: 2991.16 / Max: 2995.63 Min: 2893.86 / Avg: 2896.79 / Max: 2902.21 Min: 2804.09 / Avg: 2805.48 / Max: 2807.61 Min: 2790.22 / Avg: 2792.73 / Max: 2795.45 Min: 2668.76 / Avg: 2677.81 / Max: 2683.98 Min: 2608.68 / Avg: 2614.51 / Max: 2619.8 Min: 2600.93 / Avg: 2604.68 / Max: 2607.81 Min: 2594.08 / Avg: 2600.47 / Max: 2609.73 Min: 2587.1 / Avg: 2600.15 / Max: 2607.47 Min: 2571.87 / Avg: 2597.69 / Max: 2615.92 Min: 2580.39 / Avg: 2586.14 / Max: 2591.83 Min: 2432.1 / Avg: 2436.75 / Max: 2439.19 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 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 7262 EPYC 7252 EPYC 7F32 EPYC 7232P EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7532 EPYC 7272 EPYC 7F52 EPYC 7302P EPYC 7352 EPYC 7F72 EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7402P EPYC 7542 EPYC 7282 14K 28K 42K 56K 70K SE +/- 91.74, N = 3 SE +/- 133.20, N = 3 SE +/- 239.10, N = 3 SE +/- 71.48, N = 3 SE +/- 176.57, N = 3 SE +/- 60.18, N = 3 SE +/- 321.18, N = 3 SE +/- 468.99, N = 15 SE +/- 341.83, N = 3 SE +/- 84.88, N = 3 SE +/- 229.75, N = 3 SE +/- 275.30, N = 3 SE +/- 1348.73, N = 15 SE +/- 490.90, N = 14 SE +/- 920.22, N = 4 SE +/- 491.54, N = 3 SE +/- 241.08, N = 3 SE +/- 1239.94, N = 15 SE +/- 437.03, N = 3 SE +/- 152.36, N = 3 34303.92 37612.10 37856.21 38055.48 51183.28 51197.81 51763.13 52421.16 52852.27 54278.91 59402.61 59610.98 61161.49 61253.78 61372.67 61836.51 63083.58 64404.93 64460.63 65784.91 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 7262 EPYC 7252 EPYC 7F32 EPYC 7232P EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7532 EPYC 7272 EPYC 7F52 EPYC 7302P EPYC 7352 EPYC 7F72 EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7402P EPYC 7542 EPYC 7282 11K 22K 33K 44K 55K Min: 34195.02 / Avg: 34303.92 / Max: 34486.25 Min: 37466.22 / Avg: 37612.1 / Max: 37878.08 Min: 37556.37 / Avg: 37856.21 / Max: 38328.73 Min: 37912.54 / Avg: 38055.48 / Max: 38128.59 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: 52179.66 / Avg: 52852.27 / Max: 53294.56 Min: 54160.94 / Avg: 54278.91 / Max: 54443.62 Min: 58959.13 / Avg: 59402.61 / Max: 59728.54 Min: 59178.64 / Avg: 59610.98 / Max: 60122.42 Min: 53679.74 / Avg: 61161.49 / Max: 66058.07 Min: 58118.01 / Avg: 61253.78 / Max: 64354.32 Min: 58752.25 / Avg: 61372.67 / Max: 62931.84 Min: 61166.4 / Avg: 61836.51 / Max: 62794.51 Min: 62764.22 / Avg: 63083.58 / Max: 63556.1 Min: 56916.25 / Avg: 64404.93 / Max: 69223.31 Min: 63717.54 / Avg: 64460.63 / Max: 65230.73 Min: 65481.22 / Avg: 65784.91 / Max: 65958.47 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 7262 EPYC 7252 EPYC 7F32 EPYC 7232P EPYC 7662 EPYC 7532 EPYC 7702 EPYC 7452 EPYC 7352 EPYC 7552 EPYC 7272 EPYC 7642 EPYC 7302P EPYC 7F52 EPYC 7502 EPYC 7502P EPYC 7402P EPYC 7542 EPYC 7F72 EPYC 7282 120 240 360 480 600 SE +/- 0.46, N = 3 SE +/- 1.18, N = 3 SE +/- 0.47, N = 3 SE +/- 0.41, N = 3 SE +/- 0.38, N = 3 SE +/- 0.76, N = 3 SE +/- 1.02, N = 3 SE +/- 0.77, N = 3 SE +/- 0.66, N = 3 SE +/- 1.01, N = 3 SE +/- 0.86, N = 3 SE +/- 0.83, N = 3 SE +/- 1.16, N = 3 SE +/- 1.22, N = 3 SE +/- 0.91, N = 3 SE +/- 0.28, N = 3 SE +/- 0.73, N = 3 SE +/- 0.80, N = 3 SE +/- 1.64, N = 3 SE +/- 1.58, N = 3 291 329 351 359 426 430 432 453 455 457 461 464 465 476 490 495 501 517 547 554 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 7262 EPYC 7252 EPYC 7F32 EPYC 7232P EPYC 7662 EPYC 7532 EPYC 7702 EPYC 7452 EPYC 7352 EPYC 7552 EPYC 7272 EPYC 7642 EPYC 7302P EPYC 7F52 EPYC 7502 EPYC 7502P EPYC 7402P EPYC 7542 EPYC 7F72 EPYC 7282 100 200 300 400 500 Min: 289.77 / Avg: 290.67 / Max: 291.29 Min: 327.33 / Avg: 328.92 / Max: 331.24 Min: 349.9 / Avg: 350.84 / Max: 351.37 Min: 358.68 / Avg: 359.41 / Max: 360.1 Min: 425.71 / Avg: 426.44 / Max: 426.99 Min: 428.45 / Avg: 429.62 / Max: 431.03 Min: 429.74 / Avg: 431.54 / Max: 433.28 Min: 451.26 / Avg: 452.56 / Max: 453.93 Min: 453.72 / Avg: 454.82 / Max: 456 Min: 455.58 / Avg: 456.69 / Max: 458.72 Min: 459.77 / Avg: 460.83 / Max: 462.53 Min: 462.75 / Avg: 463.97 / Max: 465.55 Min: 463.82 / Avg: 465.19 / Max: 467.51 Min: 474.38 / Avg: 475.82 / Max: 478.24 Min: 488.28 / Avg: 489.72 / Max: 491.4 Min: 494.56 / Avg: 495.05 / Max: 495.54 Min: 499.5 / Avg: 500.67 / Max: 502.01 Min: 516.26 / Avg: 517.07 / Max: 518.67 Min: 544.07 / Avg: 546.96 / Max: 549.75 Min: 551.88 / Avg: 554.03 / Max: 557.1 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7302P EPYC 7282 EPYC 7352 EPYC 7F52 EPYC 7402P EPYC 7F72 EPYC 7702 EPYC 7552 EPYC 7532 EPYC 7662 EPYC 7642 EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7542 12 24 36 48 60 SE +/- 0.25, N = 12 SE +/- 0.33, N = 3 SE +/- 0.73, N = 3 SE +/- 0.66, N = 3 SE +/- 0.20, N = 12 SE +/- 0.21, N = 3 SE +/- 0.40, N = 3 SE +/- 0.19, N = 15 SE +/- 0.19, N = 15 SE +/- 0.23, N = 15 SE +/- 0.23, N = 15 SE +/- 0.23, N = 12 SE +/- 0.12, N = 15 SE +/- 0.26, N = 15 SE +/- 0.13, N = 15 SE +/- 0.07, N = 3 SE +/- 0.09, N = 15 SE +/- 0.06, N = 12 SE +/- 0.13, N = 3 SE +/- 0.10, N = 12 51.11 50.44 48.96 45.21 44.08 40.25 37.16 37.00 34.18 33.29 32.60 32.53 29.08 28.78 28.32 28.29 28.00 27.51 27.39 26.92 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7302P EPYC 7282 EPYC 7352 EPYC 7F52 EPYC 7402P EPYC 7F72 EPYC 7702 EPYC 7552 EPYC 7532 EPYC 7662 EPYC 7642 EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7542 10 20 30 40 50 Min: 49.99 / Avg: 51.11 / Max: 52.36 Min: 49.77 / Avg: 50.44 / Max: 50.85 Min: 47.67 / Avg: 48.96 / Max: 50.18 Min: 44.43 / Avg: 45.21 / Max: 46.53 Min: 43.1 / Avg: 44.08 / Max: 45.16 Min: 40.01 / Avg: 40.25 / Max: 40.66 Min: 36.4 / Avg: 37.16 / Max: 37.73 Min: 35.97 / Avg: 37 / Max: 38.04 Min: 33.19 / Avg: 34.18 / Max: 35.14 Min: 32.08 / Avg: 33.29 / Max: 35.28 Min: 31.3 / Avg: 32.6 / Max: 33.96 Min: 31.11 / Avg: 32.53 / Max: 33.96 Min: 28.43 / Avg: 29.08 / Max: 29.83 Min: 27.78 / Avg: 28.78 / Max: 31.81 Min: 27.64 / Avg: 28.32 / Max: 29.38 Min: 28.21 / Avg: 28.29 / Max: 28.43 Min: 27.56 / Avg: 28 / Max: 28.75 Min: 27.07 / Avg: 27.51 / Max: 27.89 Min: 27.23 / Avg: 27.39 / Max: 27.64 Min: 26.35 / Avg: 26.92 / Max: 27.47 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7F52 EPYC 7402P EPYC 7532 EPYC 7452 EPYC 7F72 EPYC 7702 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7552 EPYC 7662 EPYC 7642 400 800 1200 1600 2000 1016 1020 1029 1176 1268 1422 1502 1638 1658 1746 1796 1811 1831 1843 1858 1861 1906 1908 1912 1928
OpenVINO
Result
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Face Detection 0106 FP32 - Device: CPU EPYC 7702 EPYC 7662 EPYC 7552 EPYC 7642 EPYC 7452 EPYC 7352 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7282 EPYC 7402P EPYC 7232P EPYC 7542 EPYC 7302P EPYC 7272 EPYC 7252 EPYC 7262 EPYC 7F72 EPYC 7F52 EPYC 7F32 800 1600 2400 3200 4000 SE +/- 13.85, N = 3 SE +/- 5.97, N = 3 SE +/- 1.11, N = 3 SE +/- 2.14, N = 3 SE +/- 2.41, N = 3 SE +/- 2.65, N = 3 SE +/- 3.65, N = 3 SE +/- 1.31, N = 3 SE +/- 2.16, N = 3 SE +/- 1.27, N = 3 SE +/- 5.29, N = 3 SE +/- 5.91, N = 3 SE +/- 1.22, N = 3 SE +/- 0.94, N = 3 SE +/- 3.76, N = 3 SE +/- 6.48, N = 3 SE +/- 8.09, N = 3 SE +/- 2.68, N = 3 SE +/- 0.56, N = 3 SE +/- 2.63, N = 3 3802.58 3505.17 3239.74 3093.73 3065.49 2990.38 2894.52 2802.25 2794.68 2673.76 2619.80 2605.05 2600.40 2598.28 2589.48 2588.02 2432.00 2280.09 2064.65 2005.91 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 7702 EPYC 7662 EPYC 7552 EPYC 7642 EPYC 7452 EPYC 7352 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7282 EPYC 7402P EPYC 7232P EPYC 7542 EPYC 7302P EPYC 7272 EPYC 7252 EPYC 7262 EPYC 7F72 EPYC 7F52 EPYC 7F32 700 1400 2100 2800 3500 Min: 3782.5 / Avg: 3802.58 / Max: 3829.14 Min: 3494.9 / Avg: 3505.17 / Max: 3515.57 Min: 3237.91 / Avg: 3239.74 / Max: 3241.74 Min: 3090.11 / Avg: 3093.73 / Max: 3097.51 Min: 3062.31 / Avg: 3065.49 / Max: 3070.23 Min: 2985.22 / Avg: 2990.38 / Max: 2994.01 Min: 2890.55 / Avg: 2894.52 / Max: 2901.82 Min: 2800.17 / Avg: 2802.25 / Max: 2804.68 Min: 2790.38 / Avg: 2794.68 / Max: 2797.22 Min: 2671.86 / Avg: 2673.76 / Max: 2676.17 Min: 2609.52 / Avg: 2619.8 / Max: 2627.12 Min: 2594.21 / Avg: 2605.05 / Max: 2614.56 Min: 2598.01 / Avg: 2600.4 / Max: 2602.05 Min: 2596.72 / Avg: 2598.28 / Max: 2599.98 Min: 2583.64 / Avg: 2589.48 / Max: 2596.51 Min: 2576.99 / Avg: 2588.02 / Max: 2599.43 Min: 2417.5 / Avg: 2432 / Max: 2445.45 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 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 7272 EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7302P EPYC 7282 EPYC 7F32 EPYC 7352 EPYC 7702 EPYC 7F52 EPYC 7402P EPYC 7F72 EPYC 7552 EPYC 7642 EPYC 7502P EPYC 7502 EPYC 7662 EPYC 7532 EPYC 7452 EPYC 7542 3 6 9 12 15 SE +/- 0.090, N = 12 SE +/- 0.064, N = 12 SE +/- 0.084, N = 3 SE +/- 0.055, N = 3 SE +/- 0.085, N = 3 SE +/- 0.048, N = 3 SE +/- 0.038, N = 3 SE +/- 0.245, N = 15 SE +/- 0.067, N = 12 SE +/- 0.012, N = 15 SE +/- 0.188, N = 15 SE +/- 0.205, N = 15 SE +/- 0.049, N = 15 SE +/- 0.177, N = 3 SE +/- 0.015, N = 3 SE +/- 0.020, N = 12 SE +/- 0.020, N = 15 SE +/- 0.054, N = 15 SE +/- 0.010, N = 15 SE +/- 0.017, N = 12 9.640 8.677 8.284 7.927 7.800 7.536 7.068 6.949 6.541 6.528 6.416 5.896 5.712 5.546 5.472 5.450 5.348 5.307 5.262 5.134 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 7272 EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7302P EPYC 7282 EPYC 7F32 EPYC 7352 EPYC 7702 EPYC 7F52 EPYC 7402P EPYC 7F72 EPYC 7552 EPYC 7642 EPYC 7502P EPYC 7502 EPYC 7662 EPYC 7532 EPYC 7452 EPYC 7542 3 6 9 12 15 Min: 9.14 / Avg: 9.64 / Max: 10.38 Min: 8.16 / Avg: 8.68 / Max: 9.01 Min: 8.15 / Avg: 8.28 / Max: 8.44 Min: 7.83 / Avg: 7.93 / Max: 8.03 Min: 7.63 / Avg: 7.8 / Max: 7.91 Min: 7.49 / Avg: 7.54 / Max: 7.63 Min: 7.01 / Avg: 7.07 / Max: 7.14 Min: 5.7 / Avg: 6.95 / Max: 7.81 Min: 6.25 / Avg: 6.54 / Max: 7.01 Min: 6.45 / Avg: 6.53 / Max: 6.61 Min: 5.32 / Avg: 6.42 / Max: 7.16 Min: 4.97 / Avg: 5.9 / Max: 6.79 Min: 5.4 / Avg: 5.71 / Max: 5.9 Min: 5.33 / Avg: 5.55 / Max: 5.9 Min: 5.45 / Avg: 5.47 / Max: 5.5 Min: 5.34 / Avg: 5.45 / Max: 5.58 Min: 5.26 / Avg: 5.35 / Max: 5.52 Min: 5.16 / Avg: 5.31 / Max: 5.94 Min: 5.21 / Avg: 5.26 / Max: 5.33 Min: 4.99 / Avg: 5.13 / Max: 5.2 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 7702 EPYC 7352 EPYC 7232P EPYC 7272 EPYC 7252 EPYC 7502 EPYC 7642 EPYC 7302P EPYC 7552 EPYC 7662 EPYC 7532 EPYC 7262 EPYC 7282 EPYC 7542 EPYC 7452 EPYC 7F72 EPYC 7F32 EPYC 7402P EPYC 7502P EPYC 7F52 5 10 15 20 25 SE +/- 0.63, N = 3 SE +/- 0.20, N = 15 SE +/- 0.16, N = 4 SE +/- 0.23, N = 3 SE +/- 0.06, N = 15 SE +/- 0.40, N = 12 SE +/- 0.18, N = 3 SE +/- 0.23, N = 3 SE +/- 0.32, N = 3 SE +/- 0.61, N = 3 SE +/- 0.37, N = 3 SE +/- 0.15, N = 3 SE +/- 0.04, N = 3 SE +/- 0.12, N = 8 SE +/- 0.09, N = 3 SE +/- 0.33, N = 3 SE +/- 0.40, N = 2 SE +/- 0.05, N = 3 SE +/- 0.13, N = 3 SE +/- 0.28, N = 10 18.51 12.96 12.85 12.75 12.66 11.70 11.59 11.32 11.31 11.21 11.07 11.03 10.94 10.85 10.84 10.52 10.44 10.04 9.95 9.86 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: alexnet EPYC 7702 EPYC 7352 EPYC 7232P EPYC 7272 EPYC 7252 EPYC 7502 EPYC 7642 EPYC 7302P EPYC 7552 EPYC 7662 EPYC 7532 EPYC 7262 EPYC 7282 EPYC 7542 EPYC 7452 EPYC 7F72 EPYC 7F32 EPYC 7402P EPYC 7502P EPYC 7F52 5 10 15 20 25 Min: 17.78 / Avg: 18.51 / Max: 19.77 Min: 11.74 / Avg: 12.96 / Max: 14.52 Min: 12.47 / Avg: 12.85 / Max: 13.25 Min: 12.32 / Avg: 12.75 / Max: 13.12 Min: 12.41 / Avg: 12.66 / Max: 13.1 Min: 10.19 / Avg: 11.7 / Max: 14.07 Min: 11.35 / Avg: 11.59 / Max: 11.95 Min: 10.87 / Avg: 11.32 / Max: 11.66 Min: 10.87 / Avg: 11.31 / Max: 11.93 Min: 10.53 / Avg: 11.21 / Max: 12.43 Min: 10.66 / Avg: 11.07 / Max: 11.81 Min: 10.74 / Avg: 11.03 / Max: 11.2 Min: 10.89 / Avg: 10.94 / Max: 11.03 Min: 10.47 / Avg: 10.85 / Max: 11.37 Min: 10.75 / Avg: 10.84 / Max: 11.02 Min: 9.92 / Avg: 10.52 / Max: 11.06 Min: 10.04 / Avg: 10.44 / Max: 10.83 Min: 9.96 / Avg: 10.04 / Max: 10.13 Min: 9.82 / Avg: 9.95 / Max: 10.2 Min: 8.01 / Avg: 9.86 / Max: 11.13 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 7262 EPYC 7252 EPYC 7F32 EPYC 7232P EPYC 7662 EPYC 7702 EPYC 7532 EPYC 7352 EPYC 7452 EPYC 7552 EPYC 7272 EPYC 7642 EPYC 7302P EPYC 7F52 EPYC 7502 EPYC 7502P EPYC 7402P EPYC 7542 EPYC 7F72 EPYC 7282 100 200 300 400 500 SE +/- 0.34, N = 3 SE +/- 0.65, N = 3 SE +/- 0.69, N = 3 SE +/- 0.57, N = 3 SE +/- 0.42, N = 3 SE +/- 0.45, N = 3 SE +/- 0.45, N = 3 SE +/- 0.46, N = 3 SE +/- 0.42, N = 3 SE +/- 0.24, N = 3 SE +/- 0.82, N = 3 SE +/- 0.35, N = 3 SE +/- 0.25, N = 3 SE +/- 0.34, N = 3 SE +/- 0.55, N = 3 SE +/- 0.74, N = 3 SE +/- 0.55, N = 3 SE +/- 0.87, N = 3 SE +/- 0.32, N = 3 SE +/- 1.01, N = 3 247 273 287 292 354 356 358 379 379 379 382 385 387 394 410 411 417 431 455 459 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 7262 EPYC 7252 EPYC 7F32 EPYC 7232P EPYC 7662 EPYC 7702 EPYC 7532 EPYC 7352 EPYC 7452 EPYC 7552 EPYC 7272 EPYC 7642 EPYC 7302P EPYC 7F52 EPYC 7502 EPYC 7502P EPYC 7402P EPYC 7542 EPYC 7F72 EPYC 7282 80 160 240 320 400 Min: 246.43 / Avg: 246.79 / Max: 247.46 Min: 271.74 / Avg: 272.76 / Max: 273.97 Min: 285.71 / Avg: 287.08 / Max: 287.77 Min: 291.21 / Avg: 291.86 / Max: 293 Min: 353.48 / Avg: 354.03 / Max: 354.86 Min: 354.86 / Avg: 355.54 / Max: 356.38 Min: 357.4 / Avg: 358.21 / Max: 358.94 Min: 377.64 / Avg: 378.55 / Max: 379.08 Min: 378.79 / Avg: 379.46 / Max: 380.23 Min: 378.5 / Avg: 378.98 / Max: 379.22 Min: 380.08 / Avg: 381.63 / Max: 382.85 Min: 384.76 / Avg: 385.31 / Max: 385.95 Min: 386.7 / Avg: 386.95 / Max: 387.45 Min: 392.93 / Avg: 393.6 / Max: 394.01 Min: 409 / Avg: 409.78 / Max: 410.85 Min: 410.17 / Avg: 411.07 / Max: 412.54 Min: 416.49 / Avg: 417.13 / Max: 418.24 Min: 430.11 / Avg: 431.47 / Max: 433.09 Min: 454.55 / Avg: 454.96 / Max: 455.58 Min: 456.83 / Avg: 458.79 / Max: 460.19 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 7702 EPYC 7502 EPYC 7232P EPYC 7662 EPYC 7352 EPYC 7252 EPYC 7262 EPYC 7642 EPYC 7272 EPYC 7552 EPYC 7532 EPYC 7302P EPYC 7F32 EPYC 7F72 EPYC 7452 EPYC 7502P EPYC 7542 EPYC 7402P EPYC 7282 EPYC 7F52 13 26 39 52 65 SE +/- 0.75, N = 3 SE +/- 5.01, N = 12 SE +/- 0.53, N = 4 SE +/- 0.37, N = 3 SE +/- 0.20, N = 15 SE +/- 0.19, N = 15 SE +/- 0.38, N = 3 SE +/- 0.29, N = 3 SE +/- 0.32, N = 3 SE +/- 0.14, N = 3 SE +/- 0.32, N = 3 SE +/- 0.20, N = 3 SE +/- 0.06, N = 3 SE +/- 0.27, N = 3 SE +/- 0.08, N = 3 SE +/- 0.10, N = 3 SE +/- 0.15, N = 8 SE +/- 0.12, N = 3 SE +/- 0.09, N = 3 SE +/- 0.23, N = 10 57.12 41.55 37.85 37.22 37.06 37.01 36.84 36.67 35.19 35.05 34.50 34.03 33.66 33.02 32.44 32.15 31.97 31.68 31.53 31.41 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: yolov4-tiny EPYC 7702 EPYC 7502 EPYC 7232P EPYC 7662 EPYC 7352 EPYC 7252 EPYC 7262 EPYC 7642 EPYC 7272 EPYC 7552 EPYC 7532 EPYC 7302P EPYC 7F32 EPYC 7F72 EPYC 7452 EPYC 7502P EPYC 7542 EPYC 7402P EPYC 7282 EPYC 7F52 11 22 33 44 55 Min: 55.66 / Avg: 57.12 / Max: 58.17 Min: 31.9 / Avg: 41.55 / Max: 81.75 Min: 36.65 / Avg: 37.85 / Max: 39.21 Min: 36.6 / Avg: 37.22 / Max: 37.87 Min: 35.91 / Avg: 37.06 / Max: 38.58 Min: 35.8 / Avg: 37.01 / Max: 38.44 Min: 36.08 / Avg: 36.84 / Max: 37.28 Min: 36.2 / Avg: 36.67 / Max: 37.21 Min: 34.57 / Avg: 35.19 / Max: 35.66 Min: 34.79 / Avg: 35.05 / Max: 35.29 Min: 33.95 / Avg: 34.5 / Max: 35.06 Min: 33.75 / Avg: 34.03 / Max: 34.41 Min: 33.55 / Avg: 33.66 / Max: 33.77 Min: 32.49 / Avg: 33.02 / Max: 33.31 Min: 32.35 / Avg: 32.44 / Max: 32.6 Min: 32.01 / Avg: 32.15 / Max: 32.34 Min: 31.22 / Avg: 31.97 / Max: 32.54 Min: 31.55 / Avg: 31.68 / Max: 31.91 Min: 31.37 / Avg: 31.53 / Max: 31.69 Min: 29.4 / Avg: 31.41 / Max: 31.94 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7552 EPYC 7452 EPYC 7F52 EPYC 7402P EPYC 7642 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7F72 EPYC 7702 EPYC 7662 0.6435 1.287 1.9305 2.574 3.2175 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 6 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 +/- 0.00, N = 3 SE +/- 0.00, 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 +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 2.86 2.83 2.68 2.40 2.36 2.15 2.13 2.04 1.95 1.87 1.82 1.82 1.81 1.81 1.79 1.79 1.73 1.67 1.60 1.58
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_linearridgeregression EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7552 EPYC 7452 EPYC 7F52 EPYC 7402P EPYC 7642 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7F72 EPYC 7702 EPYC 7662 2 4 6 8 10 Min: 2.81 / Avg: 2.86 / Max: 2.93 Min: 2.8 / Avg: 2.83 / Max: 2.85 Min: 2.54 / Avg: 2.68 / Max: 2.75 Min: 2.38 / Avg: 2.4 / Max: 2.43 Min: 2.33 / Avg: 2.36 / Max: 2.39 Min: 2.11 / Avg: 2.15 / Max: 2.19 Min: 2.11 / Avg: 2.13 / Max: 2.15 Min: 2.03 / Avg: 2.04 / Max: 2.05 Min: 1.94 / Avg: 1.95 / Max: 1.95 Min: 1.86 / Avg: 1.87 / Max: 1.87 Min: 1.78 / Avg: 1.82 / Max: 1.87 Min: 1.81 / Avg: 1.82 / Max: 1.84 Min: 1.79 / Avg: 1.81 / Max: 1.83 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: 1.71 / Avg: 1.73 / Max: 1.74 Min: 1.65 / Avg: 1.67 / Max: 1.69 Min: 1.57 / Avg: 1.6 / Max: 1.62 Min: 1.56 / Avg: 1.58 / Max: 1.61
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 7282 EPYC 7272 EPYC 7252 EPYC 7232P EPYC 7352 EPYC 7452 EPYC 7502P EPYC 7542 EPYC 7502 EPYC 7402P EPYC 7302P EPYC 7F32 EPYC 7262 EPYC 7F72 EPYC 7552 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7532 EPYC 7F52 20K 40K 60K 80K 100K SE +/- 6.90, N = 5 SE +/- 12.57, N = 5 SE +/- 31.07, N = 5 SE +/- 6.04, N = 5 SE +/- 72.45, N = 5 SE +/- 30.03, N = 5 SE +/- 4.01, N = 5 SE +/- 14.74, N = 5 SE +/- 25.28, N = 5 SE +/- 17.41, N = 5 SE +/- 12.51, N = 5 SE +/- 30.39, N = 5 SE +/- 18.22, N = 5 SE +/- 17.47, N = 5 SE +/- 56.50, N = 5 SE +/- 25.27, N = 5 SE +/- 44.59, N = 5 SE +/- 25.19, N = 5 SE +/- 12.33, N = 5 SE +/- 26.38, N = 5 55554.4 55803.3 56700.0 56930.3 86874.0 87264.6 87289.2 87290.0 87319.2 87431.1 88384.1 89542.3 90094.8 96608.3 96936.0 98142.0 98556.1 99219.5 99680.8 100472.4 1. (CC) gcc options: -O3 -march=native -fopenmp
Result Confidence
OpenBenchmarking.org MB/s, More Is Better Stream 2013-01-17 Type: Triad EPYC 7282 EPYC 7272 EPYC 7252 EPYC 7232P EPYC 7352 EPYC 7452 EPYC 7502P EPYC 7542 EPYC 7502 EPYC 7402P EPYC 7302P EPYC 7F32 EPYC 7262 EPYC 7F72 EPYC 7552 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7532 EPYC 7F52 20K 40K 60K 80K 100K Min: 55541.4 / Avg: 55554.36 / Max: 55572.4 Min: 55754.3 / Avg: 55803.34 / Max: 55821.7 Min: 56629.4 / Avg: 56699.96 / Max: 56804.8 Min: 56912.4 / Avg: 56930.26 / Max: 56947.5 Min: 86636.8 / Avg: 86874.04 / Max: 87045.1 Min: 87180.8 / Avg: 87264.58 / Max: 87339.6 Min: 87276 / Avg: 87289.18 / Max: 87301 Min: 87238.2 / Avg: 87289.96 / Max: 87329.8 Min: 87260.1 / Avg: 87319.2 / Max: 87406.4 Min: 87364.6 / Avg: 87431.12 / Max: 87463.3 Min: 88351.5 / Avg: 88384.12 / Max: 88427.6 Min: 89428.4 / Avg: 89542.34 / Max: 89605.9 Min: 90053.2 / Avg: 90094.84 / Max: 90158.1 Min: 96567.9 / Avg: 96608.26 / Max: 96668.9 Min: 96848.4 / Avg: 96936.04 / Max: 97157.8 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: 99646.9 / Avg: 99680.84 / Max: 99709.1 Min: 100414.3 / Avg: 100472.42 / Max: 100561.7 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 7262 EPYC 7232P EPYC 7F32 EPYC 7252 EPYC 7F52 EPYC 7272 EPYC 7302P EPYC 7532 EPYC 7452 EPYC 7642 EPYC 7662 EPYC 7352 EPYC 7402P EPYC 7552 EPYC 7702 EPYC 7282 EPYC 7502P EPYC 7502 EPYC 7F72 EPYC 7542 7K 14K 21K 28K 35K SE +/- 42.70, N = 3 SE +/- 38.90, N = 3 SE +/- 48.99, N = 3 SE +/- 44.39, N = 3 SE +/- 210.97, N = 3 SE +/- 42.24, N = 3 SE +/- 24.50, N = 3 SE +/- 9.73, N = 3 SE +/- 147.21, N = 3 SE +/- 101.40, N = 3 SE +/- 118.59, N = 3 SE +/- 52.15, N = 3 SE +/- 93.09, N = 3 SE +/- 82.99, N = 3 SE +/- 33.78, N = 3 SE +/- 57.62, N = 3 SE +/- 70.45, N = 3 SE +/- 132.62, N = 3 SE +/- 182.35, N = 3 SE +/- 147.71, N = 3 17773 18526 18968 19178 25631 26353 26710 27104 27817 28052 28946 28983 29755 30056 30234 30264 30472 30608 30635 31925 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 7262 EPYC 7232P EPYC 7F32 EPYC 7252 EPYC 7F52 EPYC 7272 EPYC 7302P EPYC 7532 EPYC 7452 EPYC 7642 EPYC 7662 EPYC 7352 EPYC 7402P EPYC 7552 EPYC 7702 EPYC 7282 EPYC 7502P EPYC 7502 EPYC 7F72 EPYC 7542 6K 12K 18K 24K 30K Min: 17717.75 / Avg: 17772.88 / Max: 17856.94 Min: 18453.24 / Avg: 18526.01 / Max: 18586.25 Min: 18870.47 / Avg: 18968.29 / Max: 19022.11 Min: 19092.39 / Avg: 19177.91 / Max: 19241.32 Min: 25306.01 / Avg: 25631.36 / Max: 26026.7 Min: 26282.22 / Avg: 26352.9 / Max: 26428.32 Min: 26674.67 / Avg: 26710.42 / Max: 26757.31 Min: 27089.74 / Avg: 27103.73 / Max: 27122.43 Min: 27578.49 / Avg: 27817.02 / Max: 28085.76 Min: 27946.46 / Avg: 28051.59 / Max: 28254.36 Min: 28709.38 / Avg: 28946.44 / Max: 29071.66 Min: 28879.4 / Avg: 28983.04 / Max: 29045.02 Min: 29586.2 / Avg: 29754.83 / Max: 29907.47 Min: 29898.19 / Avg: 30055.53 / Max: 30179.97 Min: 30166.75 / Avg: 30234.16 / Max: 30271.83 Min: 30148.99 / Avg: 30264.23 / Max: 30322.74 Min: 30351.66 / Avg: 30472.2 / Max: 30595.65 Min: 30344.25 / Avg: 30608.03 / Max: 30764.02 Min: 30422.57 / Avg: 30634.68 / Max: 30997.65 Min: 31629.49 / Avg: 31924.55 / Max: 32084.7 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 7282 EPYC 7272 EPYC 7252 EPYC 7232P EPYC 7352 EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7402P EPYC 7302P EPYC 7F32 EPYC 7262 EPYC 7F72 EPYC 7552 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7532 EPYC 7F52 20K 40K 60K 80K 100K SE +/- 7.59, N = 5 SE +/- 33.21, N = 5 SE +/- 29.37, N = 5 SE +/- 12.43, N = 5 SE +/- 86.08, N = 5 SE +/- 12.81, N = 5 SE +/- 18.08, N = 5 SE +/- 23.76, N = 5 SE +/- 12.50, N = 5 SE +/- 18.34, N = 5 SE +/- 15.92, N = 5 SE +/- 40.08, N = 5 SE +/- 22.12, N = 5 SE +/- 14.01, N = 5 SE +/- 27.16, N = 5 SE +/- 35.94, N = 5 SE +/- 32.77, N = 5 SE +/- 23.52, N = 5 SE +/- 34.39, N = 5 SE +/- 13.28, N = 5 51217.1 51571.1 52030.3 52350.5 79301.4 79606.6 79627.0 79634.2 79643.9 79953.8 80513.0 81278.9 82215.9 88258.2 88756.6 89704.6 90228.3 90802.5 91183.6 91926.7 1. (CC) gcc options: -O3 -march=native -fopenmp
Result Confidence
OpenBenchmarking.org MB/s, More Is Better Stream 2013-01-17 Type: Copy EPYC 7282 EPYC 7272 EPYC 7252 EPYC 7232P EPYC 7352 EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7402P EPYC 7302P EPYC 7F32 EPYC 7262 EPYC 7F72 EPYC 7552 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7532 EPYC 7F52 16K 32K 48K 64K 80K Min: 51191.8 / Avg: 51217.06 / Max: 51236 Min: 51446.9 / Avg: 51571.1 / Max: 51646.4 Min: 51965.2 / Avg: 52030.26 / Max: 52108.8 Min: 52328.6 / Avg: 52350.52 / Max: 52398.9 Min: 79070.7 / Avg: 79301.44 / Max: 79534.5 Min: 79558.1 / Avg: 79606.62 / Max: 79628.9 Min: 79577.9 / Avg: 79627.04 / Max: 79677.1 Min: 79574.2 / Avg: 79634.24 / Max: 79689.4 Min: 79601.5 / Avg: 79643.86 / Max: 79678.1 Min: 79896.3 / Avg: 79953.78 / Max: 80003.9 Min: 80462.4 / Avg: 80513 / Max: 80556.1 Min: 81165 / Avg: 81278.94 / Max: 81396.4 Min: 82156.7 / Avg: 82215.88 / Max: 82275.5 Min: 88222.2 / Avg: 88258.16 / Max: 88304.6 Min: 88696.8 / Avg: 88756.64 / Max: 88824.7 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: 91080.3 / Avg: 91183.56 / Max: 91262.4 Min: 91885.9 / Avg: 91926.68 / Max: 91960.2 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 7262 EPYC 7232P EPYC 7F32 EPYC 7252 EPYC 7F52 EPYC 7272 EPYC 7302P EPYC 7532 EPYC 7452 EPYC 7642 EPYC 7662 EPYC 7352 EPYC 7402P EPYC 7552 EPYC 7702 EPYC 7282 EPYC 7502P EPYC 7502 EPYC 7F72 EPYC 7542 1.2668 2.5336 3.8004 5.0672 6.334 SE +/- 0.013, N = 3 SE +/- 0.011, N = 3 SE +/- 0.014, N = 3 SE +/- 0.013, N = 3 SE +/- 0.032, N = 3 SE +/- 0.006, N = 3 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 SE +/- 0.019, N = 3 SE +/- 0.013, N = 3 SE +/- 0.015, N = 3 SE +/- 0.006, N = 3 SE +/- 0.010, N = 3 SE +/- 0.010, N = 3 SE +/- 0.004, N = 3 SE +/- 0.006, N = 3 SE +/- 0.008, N = 3 SE +/- 0.013, N = 3 SE +/- 0.019, N = 3 SE +/- 0.014, N = 3 5.630 5.401 5.275 5.218 3.906 3.797 3.748 3.696 3.600 3.572 3.460 3.456 3.366 3.333 3.313 3.307 3.287 3.272 3.269 3.137 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 7262 EPYC 7232P EPYC 7F32 EPYC 7252 EPYC 7F52 EPYC 7272 EPYC 7302P EPYC 7532 EPYC 7452 EPYC 7642 EPYC 7662 EPYC 7352 EPYC 7402P EPYC 7552 EPYC 7702 EPYC 7282 EPYC 7502P EPYC 7502 EPYC 7F72 EPYC 7542 2 4 6 8 10 Min: 5.6 / Avg: 5.63 / Max: 5.65 Min: 5.38 / Avg: 5.4 / Max: 5.42 Min: 5.26 / Avg: 5.28 / Max: 5.3 Min: 5.2 / Avg: 5.22 / Max: 5.24 Min: 3.85 / Avg: 3.91 / Max: 3.96 Min: 3.79 / Avg: 3.8 / Max: 3.81 Min: 3.74 / Avg: 3.75 / Max: 3.75 Min: 3.69 / Avg: 3.7 / Max: 3.7 Min: 3.57 / Avg: 3.6 / Max: 3.63 Min: 3.55 / Avg: 3.57 / Max: 3.59 Min: 3.44 / Avg: 3.46 / Max: 3.49 Min: 3.45 / Avg: 3.46 / Max: 3.47 Min: 3.35 / Avg: 3.37 / Max: 3.39 Min: 3.32 / Avg: 3.33 / Max: 3.35 Min: 3.31 / Avg: 3.31 / Max: 3.32 Min: 3.3 / Avg: 3.31 / Max: 3.32 Min: 3.27 / Avg: 3.29 / Max: 3.3 Min: 3.26 / Avg: 3.27 / Max: 3.3 Min: 3.23 / Avg: 3.27 / Max: 3.29 Min: 3.12 / Avg: 3.14 / Max: 3.17 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 7282 EPYC 7272 EPYC 7252 EPYC 7232P EPYC 7352 EPYC 7452 EPYC 7502P EPYC 7542 EPYC 7502 EPYC 7402P EPYC 7302P EPYC 7F32 EPYC 7262 EPYC 7F72 EPYC 7552 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7532 EPYC 7F52 20K 40K 60K 80K 100K SE +/- 8.29, N = 5 SE +/- 17.33, N = 5 SE +/- 44.14, N = 5 SE +/- 4.03, N = 5 SE +/- 95.95, N = 5 SE +/- 29.22, N = 5 SE +/- 15.47, N = 5 SE +/- 16.43, N = 5 SE +/- 9.61, N = 5 SE +/- 18.59, N = 5 SE +/- 12.35, N = 5 SE +/- 17.48, N = 5 SE +/- 18.90, N = 5 SE +/- 14.97, N = 5 SE +/- 31.32, N = 5 SE +/- 145.28, N = 5 SE +/- 27.85, N = 5 SE +/- 26.54, N = 5 SE +/- 18.47, N = 5 SE +/- 27.65, N = 5 55485.1 55696.1 56552.7 56973.5 86384.2 86940.2 86951.1 87010.8 87013.3 87137.3 88008.9 89222.7 89746.0 95753.8 96255.6 96867.4 97473.2 98124.1 98566.4 99400.2 1. (CC) gcc options: -O3 -march=native -fopenmp
Result Confidence
OpenBenchmarking.org MB/s, More Is Better Stream 2013-01-17 Type: Add EPYC 7282 EPYC 7272 EPYC 7252 EPYC 7232P EPYC 7352 EPYC 7452 EPYC 7502P EPYC 7542 EPYC 7502 EPYC 7402P EPYC 7302P EPYC 7F32 EPYC 7262 EPYC 7F72 EPYC 7552 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7532 EPYC 7F52 20K 40K 60K 80K 100K Min: 55463.1 / Avg: 55485.12 / Max: 55514.5 Min: 55667.7 / Avg: 55696.1 / Max: 55762 Min: 56402.9 / Avg: 56552.7 / Max: 56673.4 Min: 56958.2 / Avg: 56973.52 / Max: 56980.1 Min: 86095.1 / Avg: 86384.16 / Max: 86677.1 Min: 86849.1 / Avg: 86940.18 / Max: 87029.3 Min: 86894.1 / Avg: 86951.12 / Max: 86978.2 Min: 86947.4 / Avg: 87010.8 / Max: 87038.3 Min: 86981.9 / Avg: 87013.34 / Max: 87042.1 Min: 87066.9 / Avg: 87137.32 / Max: 87168.7 Min: 87976.2 / Avg: 88008.86 / Max: 88050.9 Min: 89186 / Avg: 89222.66 / Max: 89285.6 Min: 89676.2 / Avg: 89746.04 / Max: 89780.1 Min: 95708.5 / Avg: 95753.82 / Max: 95792.3 Min: 96153.7 / Avg: 96255.6 / Max: 96319.3 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: 98509.9 / Avg: 98566.42 / Max: 98618.9 Min: 99329.3 / Avg: 99400.16 / Max: 99494.2 1. (CC) gcc options: -O3 -march=native -fopenmp
Result
OpenBenchmarking.org MB/s, More Is Better Stream 2013-01-17 Type: Scale EPYC 7282 EPYC 7272 EPYC 7252 EPYC 7232P EPYC 7352 EPYC 7452 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7402P EPYC 7302P EPYC 7F32 EPYC 7262 EPYC 7552 EPYC 7F72 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7532 EPYC 7F52 20K 40K 60K 80K 100K SE +/- 12.22, N = 5 SE +/- 26.50, N = 5 SE +/- 45.85, N = 5 SE +/- 17.43, N = 5 SE +/- 107.49, N = 5 SE +/- 34.50, N = 5 SE +/- 22.40, N = 5 SE +/- 18.84, N = 5 SE +/- 35.41, N = 5 SE +/- 20.95, N = 5 SE +/- 33.32, N = 5 SE +/- 60.32, N = 5 SE +/- 26.46, N = 5 SE +/- 33.78, N = 5 SE +/- 8.10, N = 5 SE +/- 88.18, N = 5 SE +/- 50.29, N = 5 SE +/- 51.61, N = 5 SE +/- 19.39, N = 5 SE +/- 97.97, N = 5 51214.0 51795.4 52614.3 52916.0 78936.4 78981.2 78989.7 79082.1 79087.5 79498.2 80191.9 81891.4 82753.0 87456.3 87569.0 87987.8 88346.1 89250.4 90222.2 91285.9 1. (CC) gcc options: -O3 -march=native -fopenmp
Result Confidence
OpenBenchmarking.org MB/s, More Is Better Stream 2013-01-17 Type: Scale EPYC 7282 EPYC 7272 EPYC 7252 EPYC 7232P EPYC 7352 EPYC 7452 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7402P EPYC 7302P EPYC 7F32 EPYC 7262 EPYC 7552 EPYC 7F72 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7532 EPYC 7F52 16K 32K 48K 64K 80K Min: 51177 / Avg: 51214 / Max: 51245.7 Min: 51724.9 / Avg: 51795.42 / Max: 51860.4 Min: 52481.3 / Avg: 52614.34 / Max: 52732.4 Min: 52874.9 / Avg: 52915.96 / Max: 52971.3 Min: 78534.9 / Avg: 78936.38 / Max: 79176.1 Min: 78875.5 / Avg: 78981.18 / Max: 79054.8 Min: 78922.8 / Avg: 78989.74 / Max: 79043.7 Min: 79043.7 / Avg: 79082.08 / Max: 79153.7 Min: 78996.2 / Avg: 79087.5 / Max: 79204.1 Min: 79424.4 / Avg: 79498.2 / Max: 79534.5 Min: 80111.8 / Avg: 80191.92 / Max: 80273.8 Min: 81779.2 / Avg: 81891.38 / Max: 82097.4 Min: 82700.4 / Avg: 82753.02 / Max: 82849.4 Min: 87379.1 / Avg: 87456.34 / Max: 87579.8 Min: 87542.1 / Avg: 87569.02 / Max: 87590 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: 90166.2 / Avg: 90222.16 / Max: 90277.7 Min: 90897.7 / Avg: 91285.88 / Max: 91424 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7352 EPYC 7302P EPYC 7532 EPYC 7402P EPYC 7452 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7F52 EPYC 7F72 20 40 60 80 100 SE +/- 0.35, N = 3 SE +/- 0.38, N = 3 SE +/- 0.06, N = 3 SE +/- 0.12, N = 3 SE +/- 0.25, N = 3 SE +/- 0.27, N = 3 SE +/- 0.36, N = 3 SE +/- 0.16, N = 3 SE +/- 0.39, N = 3 SE +/- 0.08, N = 3 SE +/- 0.26, N = 3 SE +/- 0.13, N = 3 SE +/- 0.18, N = 3 SE +/- 0.22, N = 3 SE +/- 0.19, N = 3 SE +/- 0.21, N = 3 111.13 109.66 103.24 89.80 88.74 79.29 76.78 75.21 68.96 68.80 67.94 66.64 66.24 64.52 63.82 62.56 1. (CXX) g++ options: -O3 -fPIC
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.7.3 Encoder Speed: 0 EPYC 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7352 EPYC 7302P EPYC 7532 EPYC 7402P EPYC 7452 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7F52 EPYC 7F72 20 40 60 80 100 Min: 110.64 / Avg: 111.13 / Max: 111.79 Min: 109.05 / Avg: 109.66 / Max: 110.37 Min: 103.16 / Avg: 103.24 / Max: 103.35 Min: 89.62 / Avg: 89.8 / Max: 90.03 Min: 88.3 / Avg: 88.74 / Max: 89.16 Min: 78.76 / Avg: 79.29 / Max: 79.57 Min: 76.12 / Avg: 76.78 / Max: 77.36 Min: 74.93 / Avg: 75.21 / Max: 75.47 Min: 68.24 / Avg: 68.96 / Max: 69.6 Min: 68.66 / Avg: 68.8 / Max: 68.93 Min: 67.52 / Avg: 67.94 / Max: 68.41 Min: 66.44 / Avg: 66.64 / Max: 66.88 Min: 66.05 / Avg: 66.24 / Max: 66.59 Min: 64.27 / Avg: 64.51 / Max: 64.96 Min: 63.45 / Avg: 63.82 / Max: 64.1 Min: 62.19 / Avg: 62.56 / Max: 62.91 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 7662 EPYC 7702 EPYC 7552 EPYC 7642 EPYC 7532 EPYC 7502 EPYC 7452 EPYC 7502P EPYC 7542 EPYC 7352 EPYC 7402P EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7F72 EPYC 7F52 EPYC 7F32 1400 2800 4200 5600 7000 SE +/- 31.24, N = 4 SE +/- 69.19, N = 4 SE +/- 38.12, N = 4 SE +/- 41.17, N = 4 SE +/- 37.98, N = 4 SE +/- 35.97, N = 4 SE +/- 70.51, N = 4 SE +/- 20.63, N = 4 SE +/- 22.38, N = 4 SE +/- 52.55, N = 4 SE +/- 40.00, N = 4 SE +/- 30.25, N = 4 SE +/- 43.33, N = 4 SE +/- 45.90, N = 4 SE +/- 38.97, N = 4 SE +/- 52.81, N = 4 SE +/- 63.10, N = 4 SE +/- 29.68, N = 4 SE +/- 44.91, N = 4 SE +/- 38.45, N = 4 6596 6443 6270 6196 5856 5808 5754 5727 5713 5633 5457 5051 5029 4856 4712 4541 4433 4123 3856 3724
Result Confidence
OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 9.12-MR1 Java Test: H2 EPYC 7662 EPYC 7702 EPYC 7552 EPYC 7642 EPYC 7532 EPYC 7502 EPYC 7452 EPYC 7502P EPYC 7542 EPYC 7352 EPYC 7402P EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7F72 EPYC 7F52 EPYC 7F32 1100 2200 3300 4400 5500 Min: 6503 / Avg: 6595.5 / Max: 6640 Min: 6285 / Avg: 6442.5 / Max: 6622 Min: 6211 / Avg: 6270 / Max: 6381 Min: 6082 / Avg: 6195.75 / Max: 6270 Min: 5756 / Avg: 5855.5 / Max: 5939 Min: 5746 / Avg: 5807.5 / Max: 5908 Min: 5574 / Avg: 5753.75 / Max: 5903 Min: 5686 / Avg: 5727 / Max: 5764 Min: 5658 / Avg: 5712.5 / Max: 5753 Min: 5484 / Avg: 5633 / Max: 5724 Min: 5386 / Avg: 5457.25 / Max: 5529 Min: 4966 / Avg: 5050.75 / Max: 5105 Min: 4903 / Avg: 5028.5 / Max: 5102 Min: 4734 / Avg: 4855.75 / Max: 4957 Min: 4618 / Avg: 4712 / Max: 4803 Min: 4417 / Avg: 4540.5 / Max: 4664 Min: 4326 / Avg: 4433.25 / Max: 4587 Min: 4069 / Avg: 4122.75 / Max: 4194 Min: 3739 / Avg: 3856 / Max: 3927 Min: 3675 / Avg: 3724.25 / Max: 3839
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 7532 EPYC 7352 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7F72 EPYC 7502P EPYC 7552 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7542 EPYC 7262 EPYC 7302P EPYC 7272 EPYC 7252 EPYC 7282 EPYC 7F52 EPYC 7232P EPYC 7F32 5K 10K 15K 20K 25K SE +/- 72.02, N = 3 SE +/- 239.42, N = 3 SE +/- 122.79, N = 13 SE +/- 280.41, N = 3 SE +/- 43.29, N = 3 SE +/- 187.50, N = 3 SE +/- 142.85, N = 3 SE +/- 221.68, N = 5 SE +/- 159.08, N = 3 SE +/- 259.43, N = 4 SE +/- 155.52, N = 12 SE +/- 280.35, N = 3 SE +/- 211.99, N = 3 SE +/- 240.93, N = 3 SE +/- 323.02, N = 3 SE +/- 42.70, N = 3 SE +/- 217.91, N = 3 SE +/- 319.14, N = 3 SE +/- 118.88, N = 3 SE +/- 110.61, N = 3 13145.41 15123.65 15257.55 16873.45 17395.25 17666.54 17798.97 18207.44 18249.35 18480.81 18522.93 19075.07 19338.54 19739.79 19909.57 20799.73 20819.97 21582.81 21863.96 23233.00 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 7532 EPYC 7352 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7F72 EPYC 7502P EPYC 7552 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7542 EPYC 7262 EPYC 7302P EPYC 7272 EPYC 7252 EPYC 7282 EPYC 7F52 EPYC 7232P EPYC 7F32 4K 8K 12K 16K 20K Min: 13030.5 / Avg: 13145.41 / Max: 13278.1 Min: 14646.18 / Avg: 15123.65 / Max: 15393.69 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: 17297.65 / Avg: 17666.54 / Max: 17909.38 Min: 17553.05 / Avg: 17798.97 / Max: 18047.88 Min: 17459.27 / Avg: 18207.44 / Max: 18715.49 Min: 18085.74 / Avg: 18249.35 / Max: 18567.46 Min: 17861.61 / Avg: 18480.81 / Max: 18982.48 Min: 17705.49 / Avg: 18522.93 / Max: 19423.51 Min: 18515.2 / Avg: 19075.07 / Max: 19381.66 Min: 18915.03 / Avg: 19338.54 / Max: 19567.68 Min: 19334.26 / Avg: 19739.79 / Max: 20167.93 Min: 19512.83 / Avg: 19909.57 / Max: 20549.49 Min: 20746.03 / Avg: 20799.73 / Max: 20884.09 Min: 20414.34 / Avg: 20819.97 / Max: 21160.81 Min: 21033.37 / Avg: 21582.81 / Max: 22138.83 Min: 21744.25 / Avg: 21863.96 / Max: 22101.73 Min: 23060.25 / Avg: 23233 / Max: 23439.06 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 7232P EPYC 7532 EPYC 7302P EPYC 7252 EPYC 7F72 EPYC 7352 EPYC 7282 EPYC 7552 EPYC 7452 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7272 EPYC 7642 EPYC 7402P EPYC 7262 EPYC 7F32 EPYC 7F52 110K 220K 330K 440K 550K SE +/- 988.10, N = 3 SE +/- 526.59, N = 3 SE +/- 387.43, N = 3 SE +/- 333.77, N = 3 SE +/- 296.51, N = 3 SE +/- 153.43, N = 3 SE +/- 1069.53, N = 3 SE +/- 2254.42, N = 3 SE +/- 3875.11, N = 3 SE +/- 1889.52, N = 3 SE +/- 1968.01, N = 3 SE +/- 4653.97, N = 3 SE +/- 4362.99, N = 3 SE +/- 5397.86, N = 3 SE +/- 553.73, N = 3 SE +/- 2100.86, N = 3 SE +/- 5200.29, N = 3 SE +/- 317.40, N = 3 SE +/- 151.23, N = 3 SE +/- 454.86, N = 3 289487.99 335428.63 337766.57 338725.99 365769.88 387954.79 394488.53 399369.85 400360.82 402875.35 403206.36 406722.26 406779.77 408037.40 416979.46 424385.84 434178.88 442279.44 509178.11 509785.83 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 7232P EPYC 7532 EPYC 7302P EPYC 7252 EPYC 7F72 EPYC 7352 EPYC 7282 EPYC 7552 EPYC 7452 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7272 EPYC 7642 EPYC 7402P EPYC 7262 EPYC 7F32 EPYC 7F52 90K 180K 270K 360K 450K Min: 287852.67 / Avg: 289487.99 / Max: 291266.56 Min: 334600.86 / Avg: 335428.63 / Max: 336406.41 Min: 337027.91 / Avg: 337766.57 / Max: 338338.6 Min: 338338.48 / Avg: 338725.99 / Max: 339390.48 Min: 365364.92 / Avg: 365769.88 / Max: 366347.54 Min: 387663.63 / Avg: 387954.79 / Max: 388184.29 Min: 392385.92 / Avg: 394488.53 / Max: 395880.4 Min: 395001.31 / Avg: 399369.85 / Max: 402520.6 Min: 392650.92 / Avg: 400360.82 / Max: 404899.47 Min: 399272.4 / Avg: 402875.35 / Max: 405664.23 Min: 399300.05 / Avg: 403206.36 / Max: 405577.63 Min: 397939.88 / Avg: 406722.26 / Max: 413783.79 Min: 398632.17 / Avg: 406779.77 / Max: 413559.03 Min: 398157.78 / Avg: 408037.4 / Max: 416746.25 Min: 416080.83 / Avg: 416979.46 / Max: 417989.3 Min: 420677.52 / Avg: 424385.84 / Max: 427950.88 Min: 424348.06 / Avg: 434178.88 / Max: 442034.56 Min: 441671.08 / Avg: 442279.44 / Max: 442740.63 Min: 508921.37 / Avg: 509178.11 / Max: 509444.95 Min: 509318.56 / Avg: 509785.83 / Max: 510695.43 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7352 EPYC 7302P EPYC 7532 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7F52 EPYC 7F72 15 30 45 60 75 SE +/- 0.15, N = 3 SE +/- 0.29, N = 3 SE +/- 0.10, N = 3 SE +/- 0.06, N = 3 SE +/- 0.18, N = 3 SE +/- 0.23, N = 3 SE +/- 0.10, N = 3 SE +/- 0.21, N = 3 SE +/- 0.18, N = 3 SE +/- 0.02, N = 3 SE +/- 0.10, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.19, N = 3 SE +/- 0.05, N = 3 66.32 65.94 62.01 53.95 53.88 47.51 46.33 45.25 41.28 41.26 40.97 40.03 40.00 38.73 38.59 37.70 1. (CXX) g++ options: -O3 -fPIC
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.7.3 Encoder Speed: 2 EPYC 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7352 EPYC 7302P EPYC 7532 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7F52 EPYC 7F72 13 26 39 52 65 Min: 66.03 / Avg: 66.32 / Max: 66.54 Min: 65.38 / Avg: 65.94 / Max: 66.34 Min: 61.82 / Avg: 62.01 / Max: 62.12 Min: 53.84 / Avg: 53.95 / Max: 54.03 Min: 53.6 / Avg: 53.88 / Max: 54.21 Min: 47.21 / Avg: 47.51 / Max: 47.96 Min: 46.14 / Avg: 46.33 / Max: 46.45 Min: 44.95 / Avg: 45.25 / Max: 45.64 Min: 41.04 / Avg: 41.28 / Max: 41.64 Min: 41.22 / Avg: 41.26 / Max: 41.28 Min: 40.77 / Avg: 40.97 / Max: 41.1 Min: 39.98 / Avg: 40.03 / Max: 40.08 Min: 39.91 / Avg: 40 / Max: 40.04 Min: 38.64 / Avg: 38.72 / Max: 38.81 Min: 38.31 / Avg: 38.59 / Max: 38.96 Min: 37.64 / Avg: 37.7 / Max: 37.8 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7302P EPYC 7F52 EPYC 7282 EPYC 7532 EPYC 7352 EPYC 7642 EPYC 7702 EPYC 7552 EPYC 7662 EPYC 7452 EPYC 7F72 EPYC 7402P EPYC 7502P EPYC 7502 EPYC 7542 60 120 180 240 300 294.77 288.52 283.43 258.08 216.88 192.27 190.98 187.00 182.49 181.45 180.85 179.75 178.69 178.64 174.46 173.88 171.91 169.80 169.79 168.49
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 7272 EPYC 7F32 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7532 EPYC 7452 EPYC 7502P EPYC 7502 EPYC 7F52 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7F72 EPYC 7662 EPYC 7702 EPYC 7252 EPYC 7232P EPYC 7262 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 +/- 0.01, 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 +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 9.16 8.84 8.40 8.07 7.89 7.25 7.14 7.13 6.99 6.98 6.85 6.81 6.76 6.75 6.66 6.62 6.58 5.62 5.51 5.29 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 7272 EPYC 7F32 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7532 EPYC 7452 EPYC 7502P EPYC 7502 EPYC 7F52 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7F72 EPYC 7662 EPYC 7702 EPYC 7252 EPYC 7232P EPYC 7262 3 6 9 12 15 Min: 9.14 / Avg: 9.16 / Max: 9.18 Min: 8.82 / Avg: 8.84 / Max: 8.85 Min: 8.38 / Avg: 8.4 / Max: 8.43 Min: 8.05 / Avg: 8.07 / Max: 8.09 Min: 7.87 / Avg: 7.89 / Max: 7.9 Min: 7.24 / Avg: 7.25 / Max: 7.26 Min: 7.13 / Avg: 7.14 / Max: 7.15 Min: 7.12 / Avg: 7.13 / Max: 7.15 Min: 6.97 / Avg: 6.99 / Max: 7 Min: 6.97 / Avg: 6.98 / Max: 7 Min: 6.84 / Avg: 6.85 / Max: 6.86 Min: 6.8 / Avg: 6.81 / Max: 6.81 Min: 6.74 / Avg: 6.76 / Max: 6.78 Min: 6.73 / Avg: 6.75 / Max: 6.77 Min: 6.63 / Avg: 6.66 / Max: 6.67 Min: 6.6 / Avg: 6.62 / Max: 6.66 Min: 6.57 / Avg: 6.58 / Max: 6.6 Min: 5.61 / Avg: 5.62 / Max: 5.62 Min: 5.51 / Avg: 5.51 / Max: 5.52 Min: 5.29 / Avg: 5.29 / Max: 5.3 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7F32 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F72 20 40 60 80 100 SE +/- 0.07, N = 3 SE +/- 0.22, N = 3 SE +/- 0.19, N = 3 SE +/- 0.06, N = 3 SE +/- 0.09, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.09, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 79.22 76.74 72.31 64.67 63.45 58.62 56.04 54.65 50.64 49.82 49.59 48.93 48.84 47.86 47.62 47.22 46.95 46.18 45.96 45.82
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed PHP Compilation 7.4.2 Time To Compile EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7F32 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7F52 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F72 15 30 45 60 75 Min: 79.14 / Avg: 79.22 / Max: 79.35 Min: 76.36 / Avg: 76.74 / Max: 77.12 Min: 71.93 / Avg: 72.31 / Max: 72.57 Min: 64.6 / Avg: 64.67 / Max: 64.79 Min: 63.31 / Avg: 63.45 / Max: 63.6 Min: 58.53 / Avg: 58.62 / Max: 58.68 Min: 55.96 / Avg: 56.04 / Max: 56.12 Min: 54.53 / Avg: 54.65 / Max: 54.82 Min: 50.54 / Avg: 50.64 / Max: 50.72 Min: 49.8 / Avg: 49.82 / Max: 49.86 Min: 49.5 / Avg: 49.59 / Max: 49.74 Min: 48.79 / Avg: 48.93 / Max: 49.03 Min: 48.79 / Avg: 48.84 / Max: 48.9 Min: 47.82 / Avg: 47.86 / Max: 47.88 Min: 47.6 / Avg: 47.62 / Max: 47.65 Min: 47.14 / Avg: 47.22 / Max: 47.29 Min: 46.91 / Avg: 46.95 / Max: 47 Min: 46.1 / Avg: 46.18 / Max: 46.3 Min: 45.86 / Avg: 45.96 / Max: 46.04 Min: 45.8 / Avg: 45.82 / Max: 45.84
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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7F32 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7F52 EPYC 7702 EPYC 7552 EPYC 7662 EPYC 7642 EPYC 7542 EPYC 7F72 6 12 18 24 30 SE +/- 0.14, N = 3 SE +/- 0.04, N = 3 SE +/- 0.07, N = 3 SE +/- 0.06, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 SE +/- 0.12, N = 3 SE +/- 0.09, N = 3 SE +/- 0.11, N = 3 SE +/- 0.10, N = 3 SE +/- 0.16, N = 3 SE +/- 0.08, N = 3 SE +/- 0.05, N = 3 SE +/- 0.10, N = 3 SE +/- 0.07, N = 3 26.47 26.18 24.63 21.84 21.45 19.81 18.92 18.48 16.98 16.79 16.65 16.32 16.28 16.13 16.10 15.92 15.91 15.87 15.86 15.44
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better OCRMyPDF 10.3.1+dfsg Processing 60 Page PDF Document EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7F32 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7F52 EPYC 7702 EPYC 7552 EPYC 7662 EPYC 7642 EPYC 7542 EPYC 7F72 6 12 18 24 30 Min: 26.32 / Avg: 26.47 / Max: 26.75 Min: 26.12 / Avg: 26.18 / Max: 26.25 Min: 24.56 / Avg: 24.63 / Max: 24.77 Min: 21.75 / Avg: 21.84 / Max: 21.96 Min: 21.38 / Avg: 21.45 / Max: 21.59 Min: 19.75 / Avg: 19.81 / Max: 19.86 Min: 18.88 / Avg: 18.92 / Max: 18.95 Min: 18.4 / Avg: 18.48 / Max: 18.57 Min: 16.83 / Avg: 16.98 / Max: 17.08 Min: 16.72 / Avg: 16.79 / Max: 16.88 Min: 16.55 / Avg: 16.65 / Max: 16.77 Min: 16.1 / Avg: 16.32 / Max: 16.52 Min: 16.15 / Avg: 16.28 / Max: 16.44 Min: 15.95 / Avg: 16.13 / Max: 16.32 Min: 15.99 / Avg: 16.1 / Max: 16.31 Min: 15.62 / Avg: 15.92 / Max: 16.18 Min: 15.78 / Avg: 15.91 / Max: 16.06 Min: 15.77 / Avg: 15.87 / Max: 15.96 Min: 15.72 / Avg: 15.86 / Max: 16.06 Min: 15.31 / Avg: 15.44 / Max: 15.53
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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7F32 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7452 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7402P EPYC 7F52 EPYC 7532 EPYC 7552 EPYC 7662 EPYC 7702 EPYC 7F72 EPYC 7642 2K 4K 6K 8K 10K SE +/- 21.13, N = 3 SE +/- 51.10, N = 3 SE +/- 91.17, N = 3 SE +/- 26.82, N = 3 SE +/- 94.23, N = 3 SE +/- 18.60, N = 3 SE +/- 46.59, N = 3 SE +/- 21.51, N = 3 SE +/- 85.19, N = 3 SE +/- 62.39, N = 3 SE +/- 73.24, N = 3 SE +/- 21.22, N = 3 SE +/- 21.95, N = 3 SE +/- 56.37, N = 3 SE +/- 120.12, N = 4 SE +/- 47.55, N = 3 SE +/- 34.11, N = 3 SE +/- 33.91, N = 3 SE +/- 19.00, N = 3 SE +/- 41.92, N = 3 4992.3 5603.3 6043.6 6268.0 6299.5 6630.5 7464.0 7663.0 7704.5 7767.9 7798.1 7843.2 7898.1 8021.9 8078.1 8211.2 8321.8 8339.1 8474.7 8485.3 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7F32 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7452 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7402P EPYC 7F52 EPYC 7532 EPYC 7552 EPYC 7662 EPYC 7702 EPYC 7F72 EPYC 7642 1500 3000 4500 6000 7500 Min: 4963.2 / Avg: 4992.3 / Max: 5033.4 Min: 5543.9 / Avg: 5603.27 / Max: 5705 Min: 5931.9 / Avg: 6043.63 / Max: 6224.3 Min: 6238.3 / Avg: 6267.97 / Max: 6321.5 Min: 6179.4 / Avg: 6299.47 / Max: 6485.3 Min: 6604.6 / Avg: 6630.53 / Max: 6666.6 Min: 7410.3 / Avg: 7464 / Max: 7556.8 Min: 7630 / Avg: 7663 / Max: 7703.4 Min: 7601.2 / Avg: 7704.5 / Max: 7873.5 Min: 7675.6 / Avg: 7767.93 / Max: 7886.8 Min: 7708.2 / Avg: 7798.1 / Max: 7943.2 Min: 7818.2 / Avg: 7843.2 / Max: 7885.4 Min: 7872.6 / Avg: 7898.1 / Max: 7941.8 Min: 7956.8 / Avg: 8021.93 / Max: 8134.2 Min: 7939.2 / Avg: 8078.13 / Max: 8437.6 Min: 8157.2 / Avg: 8211.2 / Max: 8306 Min: 8253.7 / Avg: 8321.83 / Max: 8358.7 Min: 8271.3 / Avg: 8339.07 / Max: 8375.2 Min: 8438.3 / Avg: 8474.67 / Max: 8502.4 Min: 8407.9 / Avg: 8485.3 / Max: 8551.9 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 7262 EPYC 7252 EPYC 7232P EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7702 EPYC 7352 EPYC 7F52 EPYC 7662 EPYC 7532 EPYC 7402P EPYC 7452 EPYC 7552 EPYC 7642 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7F72 700 1400 2100 2800 3500 1939 1965 1994 2220 2452 2673 2771 2905 2917 3012 3020 3045 3084 3114 3124 3154 3177 3181 3261 3270
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 7262 EPYC 7252 EPYC 7F32 EPYC 7232P EPYC 7532 EPYC 7352 EPYC 7452 EPYC 7662 EPYC 7702 EPYC 7302P EPYC 7552 EPYC 7642 EPYC 7502 EPYC 7502P EPYC 7402P EPYC 7F52 EPYC 7272 EPYC 7542 EPYC 7F72 EPYC 7282 300 600 900 1200 1500 SE +/- 3.68, N = 3 SE +/- 2.79, N = 3 SE +/- 4.63, N = 3 SE +/- 8.56, N = 3 SE +/- 1.23, N = 3 SE +/- 1.50, N = 3 SE +/- 2.62, N = 3 SE +/- 3.47, N = 3 SE +/- 1.25, N = 3 SE +/- 1.58, N = 3 SE +/- 1.63, N = 3 SE +/- 1.36, N = 3 SE +/- 0.30, N = 4 SE +/- 1.44, N = 3 SE +/- 0.24, N = 5 SE +/- 2.11, N = 3 SE +/- 0.83, N = 3 SE +/- 1.18, N = 3 SE +/- 0.50, N = 3 SE +/- 0.77, N = 4 743 833 876 889 961 993 1002 1015 1021 1041 1060 1086 1090 1097 1103 1105 1114 1155 1227 1240 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 7262 EPYC 7252 EPYC 7F32 EPYC 7232P EPYC 7532 EPYC 7352 EPYC 7452 EPYC 7662 EPYC 7702 EPYC 7302P EPYC 7552 EPYC 7642 EPYC 7502 EPYC 7502P EPYC 7402P EPYC 7F52 EPYC 7272 EPYC 7542 EPYC 7F72 EPYC 7282 200 400 600 800 1000 Min: 736.92 / Avg: 742.98 / Max: 749.63 Min: 830.56 / Avg: 833.35 / Max: 838.93 Min: 871.84 / Avg: 876.47 / Max: 885.74 Min: 872.6 / Avg: 888.79 / Max: 901.71 Min: 959.69 / Avg: 960.93 / Max: 963.39 Min: 990.1 / Avg: 993.05 / Max: 995.02 Min: 998 / Avg: 1002.35 / Max: 1007.05 Min: 1008.06 / Avg: 1014.91 / Max: 1019.37 Min: 1019.37 / Avg: 1021.11 / Max: 1023.54 Min: 1038.42 / Avg: 1040.95 / Max: 1043.84 Min: 1057.08 / Avg: 1059.7 / Max: 1062.7 Min: 1083.42 / Avg: 1085.78 / Max: 1088.14 Min: 1089.32 / Avg: 1090.22 / Max: 1090.51 Min: 1094.09 / Avg: 1096.9 / Max: 1098.9 Min: 1102.54 / Avg: 1102.78 / Max: 1103.75 Min: 1101.32 / Avg: 1104.98 / Max: 1108.65 Min: 1112.35 / Avg: 1114 / Max: 1114.83 Min: 1153.4 / Avg: 1155.18 / Max: 1157.41 Min: 1226.99 / Avg: 1227.5 / Max: 1228.5 Min: 1237.62 / Avg: 1239.93 / Max: 1240.69 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 7702 EPYC 7662 EPYC 7552 EPYC 7642 EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7352 EPYC 7282 EPYC 7252 EPYC 7402P EPYC 7272 EPYC 7232P EPYC 7302P EPYC 7262 EPYC 7F72 EPYC 7F32 EPYC 7F52 2K 4K 6K 8K 10K SE +/- 55.27, N = 3 SE +/- 38.94, N = 3 SE +/- 49.67, N = 3 SE +/- 69.06, N = 3 SE +/- 67.10, N = 3 SE +/- 72.87, N = 3 SE +/- 51.03, N = 3 SE +/- 67.32, N = 3 SE +/- 45.72, N = 3 SE +/- 59.36, N = 3 SE +/- 22.62, N = 3 SE +/- 38.69, N = 3 SE +/- 75.43, N = 3 SE +/- 31.67, N = 3 SE +/- 9.98, N = 3 SE +/- 74.06, N = 3 SE +/- 19.99, N = 3 SE +/- 63.84, N = 3 SE +/- 56.43, N = 3 SE +/- 84.62, N = 3 6319.4 6361.2 7149.7 7229.5 8193.8 8254.8 8367.0 8415.7 8456.8 8470.3 8883.6 8906.2 8962.6 9002.0 9011.8 9507.9 9816.4 9851.8 10244.2 10471.3 1. (CXX) g++ options: -rdynamic
Result Confidence
OpenBenchmarking.org MB/s, More Is Better C-Blosc 2.0 Beta 5 Compressor: blosclz EPYC 7702 EPYC 7662 EPYC 7552 EPYC 7642 EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7352 EPYC 7282 EPYC 7252 EPYC 7402P EPYC 7272 EPYC 7232P EPYC 7302P EPYC 7262 EPYC 7F72 EPYC 7F32 EPYC 7F52 2K 4K 6K 8K 10K Min: 6256.4 / Avg: 6319.43 / Max: 6429.6 Min: 6314.4 / Avg: 6361.2 / Max: 6438.5 Min: 7055.1 / Avg: 7149.67 / Max: 7223.3 Min: 7104.2 / Avg: 7229.47 / Max: 7342.5 Min: 8080 / Avg: 8193.77 / Max: 8312.3 Min: 8159.2 / Avg: 8254.83 / Max: 8397.9 Min: 8286.7 / Avg: 8366.97 / Max: 8461.7 Min: 8327.9 / Avg: 8415.7 / Max: 8548 Min: 8399.3 / Avg: 8456.77 / Max: 8547.1 Min: 8388.4 / Avg: 8470.33 / Max: 8585.7 Min: 8858.7 / Avg: 8883.63 / Max: 8928.8 Min: 8829.1 / Avg: 8906.2 / Max: 8950.5 Min: 8857.8 / Avg: 8962.63 / Max: 9109 Min: 8939.4 / Avg: 9002.03 / Max: 9041.5 Min: 8991.8 / Avg: 9011.77 / Max: 9021.9 Min: 9415.7 / Avg: 9507.9 / Max: 9654.4 Min: 9795.6 / Avg: 9816.43 / Max: 9856.4 Min: 9769.2 / Avg: 9851.77 / Max: 9977.4 Min: 10164 / Avg: 10244.23 / Max: 10353.1 Min: 10350.7 / Avg: 10471.27 / Max: 10634.4 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7352 EPYC 7302P EPYC 7452 EPYC 7502P EPYC 7552 EPYC 7502 EPYC 7402P EPYC 7542 EPYC 7532 EPYC 7702 EPYC 7642 EPYC 7662 EPYC 7F72 EPYC 7F52 8 16 24 32 40 SE +/- 0.10, N = 3 SE +/- 0.16, N = 3 SE +/- 0.08, N = 3 SE +/- 0.08, N = 3 SE +/- 0.15, N = 3 SE +/- 0.12, N = 3 SE +/- 0.07, N = 3 SE +/- 0.09, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.08, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.07, N = 3 SE +/- 0.14, N = 3 SE +/- 0.10, N = 3 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.08, N = 3 SE +/- 0.08, N = 3 34.95 34.04 32.94 30.46 26.16 24.49 23.54 22.99 22.62 22.56 22.52 22.50 22.50 22.45 22.44 22.09 21.89 21.84 21.71 21.12 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7352 EPYC 7302P EPYC 7452 EPYC 7502P EPYC 7552 EPYC 7502 EPYC 7402P EPYC 7542 EPYC 7532 EPYC 7702 EPYC 7642 EPYC 7662 EPYC 7F72 EPYC 7F52 7 14 21 28 35 Min: 34.83 / Avg: 34.95 / Max: 35.15 Min: 33.76 / Avg: 34.04 / Max: 34.3 Min: 32.82 / Avg: 32.94 / Max: 33.1 Min: 30.32 / Avg: 30.46 / Max: 30.59 Min: 25.92 / Avg: 26.16 / Max: 26.43 Min: 24.37 / Avg: 24.49 / Max: 24.73 Min: 23.46 / Avg: 23.54 / Max: 23.67 Min: 22.8 / Avg: 22.99 / Max: 23.09 Min: 22.57 / Avg: 22.62 / Max: 22.72 Min: 22.52 / Avg: 22.56 / Max: 22.59 Min: 22.4 / Avg: 22.52 / Max: 22.67 Min: 22.42 / Avg: 22.5 / Max: 22.59 Min: 22.46 / Avg: 22.5 / Max: 22.57 Min: 22.36 / Avg: 22.45 / Max: 22.59 Min: 22.27 / Avg: 22.44 / Max: 22.73 Min: 21.93 / Avg: 22.09 / Max: 22.28 Min: 21.8 / Avg: 21.89 / Max: 22.01 Min: 21.78 / Avg: 21.84 / Max: 21.91 Min: 21.62 / Avg: 21.71 / Max: 21.87 Min: 20.98 / Avg: 21.12 / Max: 21.25 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 7352 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7452 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7282 EPYC 7542 EPYC 7272 EPYC 7402P EPYC 7302P EPYC 7252 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7262 EPYC 7232P 3 6 9 12 15 SE +/- 0.0031335, N = 3 SE +/- 0.0010920, N = 3 SE +/- 0.0011629, N = 3 SE +/- 0.0024663, N = 3 SE +/- 0.0033424, N = 3 SE +/- 0.0003677, N = 3 SE +/- 0.0009813, N = 3 SE +/- 0.0018526, N = 3 SE +/- 0.0000619, N = 3 SE +/- 0.0043546, N = 3 SE +/- 0.0005818, N = 3 SE +/- 0.0051250, N = 3 SE +/- 0.0002745, N = 3 SE +/- 0.0059694, N = 3 SE +/- 0.0080390, N = 3 SE +/- 0.0065112, N = 3 SE +/- 0.0017475, N = 3 SE +/- 0.0121655, N = 3 SE +/- 0.1052585, N = 15 SE +/- 0.1578188, N = 3 7.1588623 7.3683532 7.4229073 7.4761666 7.5164994 7.5321392 7.5875978 7.6937696 7.6941152 7.7021942 7.7384578 7.7575322 7.8200074 7.9071273 8.2625257 8.6221570 9.2130346 9.5929839 10.9138750 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 7352 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7452 EPYC 7532 EPYC 7502P EPYC 7502 EPYC 7282 EPYC 7542 EPYC 7272 EPYC 7402P EPYC 7302P EPYC 7252 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7262 EPYC 7232P 3 6 9 12 15 Min: 7.15 / Avg: 7.16 / Max: 7.16 Min: 7.37 / Avg: 7.37 / Max: 7.37 Min: 7.42 / Avg: 7.42 / Max: 7.43 Min: 7.47 / Avg: 7.48 / Max: 7.48 Min: 7.51 / Avg: 7.52 / Max: 7.52 Min: 7.53 / Avg: 7.53 / Max: 7.53 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: 7.7 / Avg: 7.7 / Max: 7.71 Min: 7.74 / Avg: 7.74 / Max: 7.74 Min: 7.75 / Avg: 7.76 / Max: 7.77 Min: 7.82 / Avg: 7.82 / Max: 7.82 Min: 7.9 / Avg: 7.91 / Max: 7.92 Min: 8.25 / Avg: 8.26 / Max: 8.27 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: 10.14 / Avg: 10.91 / Max: 11.48 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 7262 EPYC 7F32 EPYC 7232P EPYC 7252 EPYC 7352 EPYC 7532 EPYC 7402P EPYC 7302P EPYC 7452 EPYC 7F72 EPYC 7272 EPYC 7502P EPYC 7502 EPYC 7642 EPYC 7282 EPYC 7F52 EPYC 7542 EPYC 7662 EPYC 7552 EPYC 7702 6K 12K 18K 24K 30K SE +/- 75.97, N = 3 SE +/- 107.90, N = 3 SE +/- 47.49, N = 3 SE +/- 100.89, N = 3 SE +/- 61.43, N = 3 SE +/- 43.10, N = 3 SE +/- 15.63, N = 3 SE +/- 20.70, N = 3 SE +/- 72.06, N = 3 SE +/- 64.18, N = 3 SE +/- 97.96, N = 3 SE +/- 109.61, N = 3 SE +/- 86.74, N = 3 SE +/- 73.41, N = 3 SE +/- 44.63, N = 3 SE +/- 72.55, N = 3 SE +/- 181.28, N = 3 SE +/- 145.91, N = 3 SE +/- 56.11, N = 3 SE +/- 87.51, N = 3 16534 17355 19021 19373 22124 22128 22254 22463 22607 22796 23297 24192 24286 24336 24590 24704 24881 25160 25563 27291 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 7262 EPYC 7F32 EPYC 7232P EPYC 7252 EPYC 7352 EPYC 7532 EPYC 7402P EPYC 7302P EPYC 7452 EPYC 7F72 EPYC 7272 EPYC 7502P EPYC 7502 EPYC 7642 EPYC 7282 EPYC 7F52 EPYC 7542 EPYC 7662 EPYC 7552 EPYC 7702 5K 10K 15K 20K 25K Min: 16433.25 / Avg: 16534.17 / Max: 16683 Min: 17168.07 / Avg: 17355.07 / Max: 17541.86 Min: 18944.83 / Avg: 19021.17 / Max: 19108.28 Min: 19243.58 / Avg: 19373.27 / Max: 19571.98 Min: 22014.04 / Avg: 22124.27 / Max: 22226.37 Min: 22045.04 / Avg: 22127.67 / Max: 22190.26 Min: 22230.64 / Avg: 22254.24 / Max: 22283.78 Min: 22428.64 / Avg: 22463.42 / Max: 22500.27 Min: 22463.24 / Avg: 22606.6 / Max: 22691.08 Min: 22691.26 / Avg: 22795.6 / Max: 22912.51 Min: 23109.48 / Avg: 23296.72 / Max: 23440.29 Min: 24059.94 / Avg: 24191.65 / Max: 24409.26 Min: 24138.58 / Avg: 24285.77 / Max: 24438.88 Min: 24218.24 / Avg: 24335.92 / Max: 24470.79 Min: 24500.86 / Avg: 24589.57 / Max: 24642.44 Min: 24560.91 / Avg: 24703.66 / Max: 24797.53 Min: 24567.9 / Avg: 24881.03 / Max: 25195.86 Min: 24878.09 / Avg: 25160.16 / Max: 25366 Min: 25457.36 / Avg: 25562.69 / Max: 25648.86 Min: 27122.42 / Avg: 27290.81 / Max: 27416.33 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 7262 EPYC 7F32 EPYC 7232P EPYC 7252 EPYC 7352 EPYC 7532 EPYC 7402P EPYC 7302P EPYC 7452 EPYC 7F72 EPYC 7272 EPYC 7502P EPYC 7502 EPYC 7642 EPYC 7282 EPYC 7F52 EPYC 7542 EPYC 7662 EPYC 7552 EPYC 7702 0.6806 1.3612 2.0418 2.7224 3.403 SE +/- 0.014, N = 3 SE +/- 0.018, N = 3 SE +/- 0.007, N = 3 SE +/- 0.014, N = 3 SE +/- 0.006, N = 3 SE +/- 0.004, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.007, N = 3 SE +/- 0.006, N = 3 SE +/- 0.009, N = 3 SE +/- 0.009, N = 3 SE +/- 0.007, N = 3 SE +/- 0.006, N = 3 SE +/- 0.004, N = 3 SE +/- 0.006, N = 3 SE +/- 0.015, N = 3 SE +/- 0.012, N = 3 SE +/- 0.004, N = 3 SE +/- 0.006, N = 3 3.025 2.882 2.629 2.582 2.261 2.260 2.248 2.227 2.213 2.194 2.147 2.068 2.060 2.055 2.034 2.025 2.010 1.988 1.957 1.833 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 7262 EPYC 7F32 EPYC 7232P EPYC 7252 EPYC 7352 EPYC 7532 EPYC 7402P EPYC 7302P EPYC 7452 EPYC 7F72 EPYC 7272 EPYC 7502P EPYC 7502 EPYC 7642 EPYC 7282 EPYC 7F52 EPYC 7542 EPYC 7662 EPYC 7552 EPYC 7702 2 4 6 8 10 Min: 3 / Avg: 3.03 / Max: 3.04 Min: 2.85 / Avg: 2.88 / Max: 2.91 Min: 2.62 / Avg: 2.63 / Max: 2.64 Min: 2.56 / Avg: 2.58 / Max: 2.6 Min: 2.25 / Avg: 2.26 / Max: 2.27 Min: 2.25 / Avg: 2.26 / Max: 2.27 Min: 2.25 / Avg: 2.25 / Max: 2.25 Min: 2.22 / Avg: 2.23 / Max: 2.23 Min: 2.2 / Avg: 2.21 / Max: 2.23 Min: 2.18 / Avg: 2.19 / Max: 2.2 Min: 2.13 / Avg: 2.15 / Max: 2.16 Min: 2.05 / Avg: 2.07 / Max: 2.08 Min: 2.05 / Avg: 2.06 / Max: 2.07 Min: 2.04 / Avg: 2.06 / Max: 2.07 Min: 2.03 / Avg: 2.03 / Max: 2.04 Min: 2.02 / Avg: 2.02 / Max: 2.04 Min: 1.99 / Avg: 2.01 / Max: 2.04 Min: 1.97 / Avg: 1.99 / Max: 2.01 Min: 1.95 / Avg: 1.96 / Max: 1.97 Min: 1.82 / Avg: 1.83 / Max: 1.84 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 7262 EPYC 7252 EPYC 7232P EPYC 7F32 EPYC 7352 EPYC 7662 EPYC 7272 EPYC 7702 EPYC 7302P EPYC 7452 EPYC 7532 EPYC 7552 EPYC 7402P EPYC 7502 EPYC 7642 EPYC 7502P EPYC 7542 EPYC 7282 EPYC 7F72 EPYC 7F52 1400 2800 4200 5600 7000 SE +/- 8.67, N = 3 SE +/- 10.37, N = 3 SE +/- 13.17, N = 3 SE +/- 7.11, N = 3 SE +/- 9.00, N = 3 SE +/- 23.78, N = 3 SE +/- 16.34, N = 3 SE +/- 16.34, N = 3 SE +/- 9.79, N = 3 SE +/- 17.05, N = 3 SE +/- 9.90, N = 3 SE +/- 10.23, N = 3 SE +/- 10.46, N = 3 SE +/- 10.70, N = 3 SE +/- 10.70, N = 3 SE +/- 10.82, N = 3 SE +/- 11.74, N = 3 SE +/- 12.17, N = 3 SE +/- 22.84, N = 3 SE +/- 13.44, N = 3 3876 4237 4438 4615 5199 5200 5319 5319 5425 5435 5445 5535 5608 5660 5671 5703 5941 6048 6289 6343 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 7262 EPYC 7252 EPYC 7232P EPYC 7F32 EPYC 7352 EPYC 7662 EPYC 7272 EPYC 7702 EPYC 7302P EPYC 7452 EPYC 7532 EPYC 7552 EPYC 7402P EPYC 7502 EPYC 7642 EPYC 7502P EPYC 7542 EPYC 7282 EPYC 7F72 EPYC 7F52 1100 2200 3300 4400 5500 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 Min: 4608.29 / Avg: 4615.41 / Max: 4629.63 Min: 5181.35 / Avg: 5199.34 / Max: 5208.33 Min: 5154.64 / Avg: 5199.52 / Max: 5235.6 Min: 5291.01 / Avg: 5319.25 / Max: 5347.59 Min: 5291.01 / Avg: 5319.25 / Max: 5347.59 Min: 5405.41 / Avg: 5424.99 / Max: 5434.78 Min: 5405.41 / Avg: 5434.89 / Max: 5464.48 Min: 5434.78 / Avg: 5444.68 / Max: 5464.48 Min: 5524.86 / Avg: 5535.09 / Max: 5555.56 Min: 5586.59 / Avg: 5607.52 / Max: 5617.98 Min: 5649.72 / Avg: 5660.42 / Max: 5681.82 Min: 5649.72 / Avg: 5671.12 / Max: 5681.82 Min: 5681.82 / Avg: 5703.46 / Max: 5714.29 Min: 5917.16 / Avg: 5940.64 / Max: 5952.38 Min: 6024.1 / Avg: 6048.44 / Max: 6060.61 Min: 6250 / Avg: 6289.47 / Max: 6329.11 Min: 6329.11 / Avg: 6342.55 / Max: 6369.43 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 7232P EPYC 7252 EPYC 7262 EPYC 7352 EPYC 7272 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7532 EPYC 7552 EPYC 7452 EPYC 7642 EPYC 7502 EPYC 7282 EPYC 7502P EPYC 7302P EPYC 7402P EPYC 7542 EPYC 7F72 EPYC 7F52 14 28 42 56 70 SE +/- 0.04, N = 3 SE +/- 0.37, N = 3 SE +/- 0.09, N = 3 SE +/- 0.07, N = 3 SE +/- 0.17, N = 3 SE +/- 0.27, N = 3 SE +/- 0.19, N = 3 SE +/- 0.20, N = 3 SE +/- 0.21, N = 3 SE +/- 0.17, N = 3 SE +/- 0.10, N = 3 SE +/- 0.20, N = 3 SE +/- 0.08, N = 3 SE +/- 0.19, N = 3 SE +/- 0.16, N = 3 SE +/- 0.14, N = 3 SE +/- 0.06, N = 3 SE +/- 0.20, N = 3 SE +/- 0.22, N = 3 SE +/- 0.15, N = 3 38.59 38.71 40.39 46.49 46.60 47.12 47.36 47.76 48.40 48.81 48.90 48.97 49.28 49.38 49.53 50.25 51.07 52.50 61.69 61.96 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 7232P EPYC 7252 EPYC 7262 EPYC 7352 EPYC 7272 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7532 EPYC 7552 EPYC 7452 EPYC 7642 EPYC 7502 EPYC 7282 EPYC 7502P EPYC 7302P EPYC 7402P EPYC 7542 EPYC 7F72 EPYC 7F52 12 24 36 48 60 Min: 38.52 / Avg: 38.59 / Max: 38.66 Min: 37.98 / Avg: 38.71 / Max: 39.2 Min: 40.24 / Avg: 40.39 / Max: 40.54 Min: 46.36 / Avg: 46.49 / Max: 46.6 Min: 46.28 / Avg: 46.6 / Max: 46.88 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: 48.01 / Avg: 48.4 / Max: 48.72 Min: 48.52 / Avg: 48.81 / Max: 49.11 Min: 48.74 / Avg: 48.9 / Max: 49.08 Min: 48.6 / Avg: 48.97 / Max: 49.3 Min: 49.16 / Avg: 49.28 / Max: 49.44 Min: 49.02 / Avg: 49.38 / Max: 49.67 Min: 49.3 / Avg: 49.53 / Max: 49.85 Min: 50.1 / Avg: 50.25 / Max: 50.53 Min: 51 / Avg: 51.07 / Max: 51.18 Min: 52.25 / Avg: 52.5 / Max: 52.9 Min: 61.33 / Avg: 61.69 / Max: 62.09 Min: 61.73 / Avg: 61.96 / Max: 62.25 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7F32 EPYC 7352 EPYC 7702 EPYC 7662 EPYC 7532 EPYC 7282 EPYC 7642 EPYC 7452 EPYC 7552 EPYC 7502 EPYC 7502P EPYC 7302P EPYC 7402P EPYC 7542 EPYC 7F52 13 26 39 52 65 SE +/- 0.22, N = 3 SE +/- 0.09, N = 3 SE +/- 0.31, N = 3 SE +/- 0.25, N = 3 SE +/- 0.68, N = 3 SE +/- 0.15, N = 3 SE +/- 0.25, N = 3 SE +/- 0.17, N = 3 SE +/- 0.06, N = 3 SE +/- 0.10, N = 3 SE +/- 0.06, N = 3 SE +/- 0.09, N = 3 SE +/- 0.12, N = 3 SE +/- 0.06, N = 3 SE +/- 0.15, N = 3 SE +/- 0.11, N = 3 SE +/- 0.14, N = 3 SE +/- 0.16, N = 3 SE +/- 0.13, N = 3 37.45 37.92 39.72 46.17 46.25 46.48 47.04 47.29 47.41 47.76 47.91 48.18 48.42 48.43 48.62 48.64 50.06 51.25 60.10 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7F32 EPYC 7352 EPYC 7702 EPYC 7662 EPYC 7532 EPYC 7282 EPYC 7642 EPYC 7452 EPYC 7552 EPYC 7502 EPYC 7502P EPYC 7302P EPYC 7402P EPYC 7542 EPYC 7F52 12 24 36 48 60 Min: 37.05 / Avg: 37.45 / Max: 37.82 Min: 37.75 / Avg: 37.92 / Max: 38.03 Min: 39.28 / Avg: 39.72 / Max: 40.31 Min: 45.74 / Avg: 46.17 / Max: 46.61 Min: 45.22 / Avg: 46.25 / Max: 47.52 Min: 46.29 / Avg: 46.48 / Max: 46.78 Min: 46.56 / Avg: 47.04 / Max: 47.4 Min: 46.94 / Avg: 47.29 / Max: 47.49 Min: 47.31 / Avg: 47.41 / Max: 47.53 Min: 47.56 / Avg: 47.76 / Max: 47.91 Min: 47.82 / Avg: 47.91 / Max: 48.03 Min: 48.01 / Avg: 48.18 / Max: 48.3 Min: 48.22 / Avg: 48.42 / Max: 48.64 Min: 48.32 / Avg: 48.43 / Max: 48.49 Min: 48.35 / Avg: 48.62 / Max: 48.86 Min: 48.42 / Avg: 48.64 / Max: 48.79 Min: 49.8 / Avg: 50.06 / Max: 50.28 Min: 50.96 / Avg: 51.25 / Max: 51.53 Min: 59.89 / Avg: 60.1 / Max: 60.35 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 7232P EPYC 7252 EPYC 7452 EPYC 7502 EPYC 7272 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7262 EPYC 7402P EPYC 7502P EPYC 7532 EPYC 7F32 EPYC 7552 EPYC 7F72 EPYC 7302P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7F52 12 24 36 48 60 SE +/- 0.10, N = 3 SE +/- 0.41, N = 3 SE +/- 0.72, N = 13 SE +/- 0.52, N = 3 SE +/- 0.56, N = 3 SE +/- 0.29, N = 3 SE +/- 0.69, N = 5 SE +/- 0.32, N = 3 SE +/- 0.53, N = 3 SE +/- 0.46, N = 3 SE +/- 0.16, N = 3 SE +/- 0.32, N = 3 SE +/- 0.07, N = 3 SE +/- 0.45, N = 3 SE +/- 0.63, N = 4 SE +/- 0.17, N = 3 SE +/- 0.29, N = 3 SE +/- 0.59, N = 3 SE +/- 0.25, N = 3 SE +/- 0.36, N = 3 54.74 53.94 53.59 52.80 52.38 51.62 51.37 49.89 47.35 47.22 46.62 44.73 43.80 43.44 43.04 41.93 40.55 39.09 37.63 34.19
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_qda EPYC 7232P EPYC 7252 EPYC 7452 EPYC 7502 EPYC 7272 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7262 EPYC 7402P EPYC 7502P EPYC 7532 EPYC 7F32 EPYC 7552 EPYC 7F72 EPYC 7302P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7F52 11 22 33 44 55 Min: 54.55 / Avg: 54.74 / Max: 54.9 Min: 53.23 / Avg: 53.94 / Max: 54.63 Min: 46.74 / Avg: 53.59 / Max: 57.7 Min: 51.87 / Avg: 52.8 / Max: 53.67 Min: 51.61 / Avg: 52.38 / Max: 53.46 Min: 51.09 / Avg: 51.62 / Max: 52.07 Min: 49.55 / Avg: 51.37 / Max: 53.43 Min: 49.33 / Avg: 49.89 / Max: 50.44 Min: 46.51 / Avg: 47.35 / Max: 48.33 Min: 46.51 / Avg: 47.22 / Max: 48.09 Min: 46.43 / Avg: 46.62 / Max: 46.93 Min: 44.1 / Avg: 44.73 / Max: 45.17 Min: 43.68 / Avg: 43.8 / Max: 43.92 Min: 42.62 / Avg: 43.44 / Max: 44.16 Min: 41.75 / Avg: 43.04 / Max: 44.74 Min: 41.6 / Avg: 41.93 / Max: 42.12 Min: 40.06 / Avg: 40.55 / Max: 41.07 Min: 38.42 / Avg: 39.09 / Max: 40.26 Min: 37.26 / Avg: 37.63 / Max: 38.09 Min: 33.77 / Avg: 34.19 / Max: 34.92
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 7532 EPYC 7702 EPYC 7642 EPYC 7662 EPYC 7302P EPYC 7352 EPYC 7552 EPYC 7402P EPYC 7502 EPYC 7542 EPYC 7502P EPYC 7452 EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7232P EPYC 7F52 EPYC 7252 EPYC 7F72 EPYC 7F32 1600 3200 4800 6400 8000 SE +/- 36.18, N = 4 SE +/- 16.56, N = 4 SE +/- 33.92, N = 4 SE +/- 37.54, N = 4 SE +/- 14.21, N = 4 SE +/- 61.44, N = 4 SE +/- 54.16, N = 4 SE +/- 42.04, N = 4 SE +/- 31.28, N = 4 SE +/- 46.36, N = 4 SE +/- 24.99, N = 4 SE +/- 20.46, N = 4 SE +/- 46.47, N = 4 SE +/- 49.93, N = 4 SE +/- 24.61, N = 4 SE +/- 23.71, N = 4 SE +/- 34.74, N = 4 SE +/- 67.27, N = 4 SE +/- 13.19, N = 4 SE +/- 27.00, N = 4 7470 7407 7391 7288 7242 7227 7217 7211 7075 7069 7038 7035 6581 5998 5924 5516 5461 5292 5216 4686
Result Confidence
OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 9.12-MR1 Java Test: Tradebeans EPYC 7532 EPYC 7702 EPYC 7642 EPYC 7662 EPYC 7302P EPYC 7352 EPYC 7552 EPYC 7402P EPYC 7502 EPYC 7542 EPYC 7502P EPYC 7452 EPYC 7282 EPYC 7272 EPYC 7262 EPYC 7232P EPYC 7F52 EPYC 7252 EPYC 7F72 EPYC 7F32 1300 2600 3900 5200 6500 Min: 7396 / Avg: 7470.25 / Max: 7545 Min: 7374 / Avg: 7406.5 / Max: 7446 Min: 7328 / Avg: 7390.5 / Max: 7469 Min: 7188 / Avg: 7287.5 / Max: 7348 Min: 7204 / Avg: 7241.75 / Max: 7269 Min: 7055 / Avg: 7226.5 / Max: 7343 Min: 7119 / Avg: 7217.25 / Max: 7313 Min: 7118 / Avg: 7211 / Max: 7313 Min: 6986 / Avg: 7074.5 / Max: 7123 Min: 6961 / Avg: 7069.25 / Max: 7164 Min: 6980 / Avg: 7037.75 / Max: 7095 Min: 6980 / Avg: 7034.5 / Max: 7075 Min: 6450 / Avg: 6581.25 / Max: 6666 Min: 5871 / Avg: 5998.25 / Max: 6100 Min: 5879 / Avg: 5923.75 / Max: 5990 Min: 5452 / Avg: 5516.25 / Max: 5566 Min: 5376 / Avg: 5461.25 / Max: 5526 Min: 5161 / Avg: 5291.5 / Max: 5472 Min: 5179 / Avg: 5215.5 / Max: 5240 Min: 4611 / Avg: 4685.5 / Max: 4733
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 7252 EPYC 7232P EPYC 7262 EPYC 7272 EPYC 7F32 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7532 EPYC 7452 EPYC 7502P EPYC 7502 EPYC 7F52 EPYC 7542 EPYC 7642 EPYC 7552 EPYC 7662 EPYC 7702 EPYC 7F72 8 16 24 32 40 SE +/- 0.16, N = 3 SE +/- 0.30, N = 3 SE +/- 0.20, N = 3 SE +/- 0.02, N = 3 SE +/- 0.20, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 32.82 32.31 31.37 28.87 27.72 25.14 24.59 24.35 22.41 22.32 22.12 21.74 21.71 21.38 21.33 21.28 21.23 20.83 20.77 20.70 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 7252 EPYC 7232P EPYC 7262 EPYC 7272 EPYC 7F32 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7532 EPYC 7452 EPYC 7502P EPYC 7502 EPYC 7F52 EPYC 7542 EPYC 7642 EPYC 7552 EPYC 7662 EPYC 7702 EPYC 7F72 7 14 21 28 35 Min: 32.56 / Avg: 32.82 / Max: 33.12 Min: 31.9 / Avg: 32.31 / Max: 32.89 Min: 30.97 / Avg: 31.37 / Max: 31.63 Min: 28.83 / Avg: 28.87 / Max: 28.91 Min: 27.48 / Avg: 27.72 / Max: 28.1 Min: 25.11 / Avg: 25.14 / Max: 25.18 Min: 24.47 / Avg: 24.59 / Max: 24.66 Min: 24.3 / Avg: 24.35 / Max: 24.4 Min: 22.37 / Avg: 22.41 / Max: 22.44 Min: 22.3 / Avg: 22.32 / Max: 22.34 Min: 22.1 / Avg: 22.12 / Max: 22.15 Min: 21.72 / Avg: 21.74 / Max: 21.76 Min: 21.65 / Avg: 21.71 / Max: 21.74 Min: 21.28 / Avg: 21.38 / Max: 21.49 Min: 21.26 / Avg: 21.33 / Max: 21.41 Min: 21.27 / Avg: 21.28 / Max: 21.3 Min: 21.2 / Avg: 21.23 / Max: 21.29 Min: 20.75 / Avg: 20.83 / Max: 20.92 Min: 20.7 / Avg: 20.77 / Max: 20.81 Min: 20.68 / Avg: 20.7 / Max: 20.74 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 7252 EPYC 7272 EPYC 7352 EPYC 7262 EPYC 7702 EPYC 7532 EPYC 7232P EPYC 7502 EPYC 7282 EPYC 7552 EPYC 7642 EPYC 7502P EPYC 7302P EPYC 7542 EPYC 7662 EPYC 7402P EPYC 7452 EPYC 7F32 EPYC 7F72 EPYC 7F52 0.0003 0.0006 0.0009 0.0012 0.0015 SE +/- 0.00000634, N = 3 SE +/- 0.00002074, N = 15 SE +/- 0.00001515, N = 4 SE +/- 0.00001635, N = 3 SE +/- 0.00001189, N = 15 SE +/- 0.00001716, N = 3 SE +/- 0.00000638, N = 3 SE +/- 0.00001145, N = 3 SE +/- 0.00001218, N = 3 SE +/- 0.00000492, N = 3 SE +/- 0.00000704, N = 3 SE +/- 0.00000873, N = 3 SE +/- 0.00000590, N = 3 SE +/- 0.00001457, N = 4 SE +/- 0.00000843, N = 3 SE +/- 0.00000929, N = 3 SE +/- 0.00000997, N = 3 SE +/- 0.00000094, N = 3 SE +/- 0.00001130, N = 3 SE +/- 0.00000247, N = 3 0.00131517 0.00124568 0.00114026 0.00112597 0.00106825 0.00105341 0.00103515 0.00102829 0.00102628 0.00102449 0.00101967 0.00101088 0.00100912 0.00100704 0.00100578 0.00099951 0.00099397 0.00089156 0.00088316 0.00083164
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Perl Benchmarks Test: Interpreter EPYC 7252 EPYC 7272 EPYC 7352 EPYC 7262 EPYC 7702 EPYC 7532 EPYC 7232P EPYC 7502 EPYC 7282 EPYC 7552 EPYC 7642 EPYC 7502P EPYC 7302P EPYC 7542 EPYC 7662 EPYC 7402P EPYC 7452 EPYC 7F32 EPYC 7F72 EPYC 7F52 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 7262 EPYC 7252 EPYC 7232P EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7272 EPYC 7552 EPYC 7642 EPYC 7532 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7452 EPYC 7502P EPYC 7502 EPYC 7402P EPYC 7F52 EPYC 7542 EPYC 7F72 300 600 900 1200 1500 910 949 974 1044 1062 1108 1184 1216 1226 1249 1251 1269 1279 1303 1319 1320 1338 1354 1355 1439
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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7352 EPYC 7282 EPYC 7532 EPYC 7F52 EPYC 7702 EPYC 7552 EPYC 7302P EPYC 7F72 EPYC 7402P EPYC 7452 EPYC 7642 EPYC 7502 EPYC 7542 EPYC 7662 EPYC 7502P 300 600 900 1200 1500 SE +/- 1.73, N = 3 SE +/- 1.20, N = 3 SE +/- 0.67, N = 3 SE +/- 5.51, N = 3 SE +/- 0.88, N = 3 SE +/- 3.51, N = 3 SE +/- 7.84, N = 3 SE +/- 1.86, N = 3 SE +/- 6.36, N = 3 SE +/- 4.37, N = 3 SE +/- 3.06, N = 3 SE +/- 5.20, N = 3 SE +/- 1.53, N = 3 SE +/- 6.08, N = 3 SE +/- 2.89, N = 3 800 831 853 897 908 1002 1045 1111 1112 1138 1139 1140 1142 1150 1165 1177 1203 1204 1211 1264 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7352 EPYC 7282 EPYC 7532 EPYC 7F52 EPYC 7702 EPYC 7552 EPYC 7302P EPYC 7F72 EPYC 7402P EPYC 7452 EPYC 7642 EPYC 7502 EPYC 7542 EPYC 7662 EPYC 7502P 200 400 600 800 1000 Min: 894 / Avg: 897 / Max: 900 Min: 906 / Avg: 908.33 / Max: 910 Min: 1044 / Avg: 1044.67 / Max: 1046 Min: 1101 / Avg: 1111 / Max: 1120 Min: 1110 / Avg: 1111.67 / Max: 1113 Min: 1131 / Avg: 1138 / Max: 1142 Min: 1131 / Avg: 1139.33 / Max: 1155 Min: 1136 / Avg: 1139.67 / Max: 1142 Min: 1129 / Avg: 1141.67 / Max: 1149 Min: 1156 / Avg: 1164.67 / Max: 1170 Min: 1171 / Avg: 1177 / Max: 1181 Min: 1194 / Avg: 1203 / Max: 1212 Min: 1202 / Avg: 1204 / Max: 1207 Min: 1200 / Avg: 1211 / Max: 1221 Min: 1259 / Avg: 1264 / Max: 1269 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 7232P EPYC 7252 EPYC 7272 EPYC 7262 EPYC 7302P EPYC 7282 EPYC 7352 EPYC 7F32 EPYC 7702 EPYC 7402P EPYC 7F52 EPYC 7F72 EPYC 7552 EPYC 7502 EPYC 7502P EPYC 7662 EPYC 7452 EPYC 7532 EPYC 7642 EPYC 7542 10 20 30 40 50 SE +/- 0.21, N = 12 SE +/- 0.29, N = 3 SE +/- 0.09, N = 12 SE +/- 0.34, N = 3 SE +/- 0.20, N = 3 SE +/- 0.35, N = 3 SE +/- 0.52, N = 15 SE +/- 0.20, N = 3 SE +/- 0.27, N = 12 SE +/- 0.34, N = 15 SE +/- 0.10, N = 15 SE +/- 0.50, N = 15 SE +/- 0.20, N = 15 SE +/- 0.08, N = 12 SE +/- 0.02, N = 3 SE +/- 0.18, N = 15 SE +/- 0.13, N = 15 SE +/- 0.23, N = 15 SE +/- 0.52, N = 3 SE +/- 0.09, N = 12 45.29 45.16 43.62 41.01 40.76 40.11 37.37 37.04 35.87 35.49 35.13 33.21 32.38 30.49 30.26 30.09 30.04 29.99 29.88 28.86 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 7232P EPYC 7252 EPYC 7272 EPYC 7262 EPYC 7302P EPYC 7282 EPYC 7352 EPYC 7F32 EPYC 7702 EPYC 7402P EPYC 7F52 EPYC 7F72 EPYC 7552 EPYC 7502 EPYC 7502P EPYC 7662 EPYC 7452 EPYC 7532 EPYC 7642 EPYC 7542 9 18 27 36 45 Min: 44.17 / Avg: 45.29 / Max: 46.55 Min: 44.79 / Avg: 45.16 / Max: 45.73 Min: 42.99 / Avg: 43.62 / Max: 44.1 Min: 40.35 / Avg: 41.01 / Max: 41.47 Min: 40.4 / Avg: 40.76 / Max: 41.09 Min: 39.57 / Avg: 40.11 / Max: 40.76 Min: 33.73 / Avg: 37.37 / Max: 40.26 Min: 36.82 / Avg: 37.04 / Max: 37.43 Min: 34.52 / Avg: 35.87 / Max: 37.57 Min: 33.3 / Avg: 35.49 / Max: 37.55 Min: 34.59 / Avg: 35.13 / Max: 35.77 Min: 30.33 / Avg: 33.21 / Max: 36.17 Min: 31.46 / Avg: 32.38 / Max: 33.54 Min: 30.13 / Avg: 30.49 / Max: 30.89 Min: 30.23 / Avg: 30.26 / Max: 30.3 Min: 29.38 / Avg: 30.09 / Max: 31.43 Min: 29.11 / Avg: 30.04 / Max: 30.8 Min: 28.55 / Avg: 29.99 / Max: 31.88 Min: 29.32 / Avg: 29.88 / Max: 30.92 Min: 28.2 / Avg: 28.86 / Max: 29.24 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 7262 EPYC 7302P EPYC 7352 EPYC 7532 EPYC 7402P EPYC 7232P EPYC 7282 EPYC 7662 EPYC 7452 EPYC 7252 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7272 EPYC 7F32 EPYC 7F52 EPYC 7F72 4 8 12 16 20 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 17.38 16.80 16.15 16.02 15.89 15.49 15.29 15.28 15.04 14.95 14.89 14.88 14.87 14.85 14.81 14.79 14.76 13.37 12.42 11.24 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 7262 EPYC 7302P EPYC 7352 EPYC 7532 EPYC 7402P EPYC 7232P EPYC 7282 EPYC 7662 EPYC 7452 EPYC 7252 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7272 EPYC 7F32 EPYC 7F52 EPYC 7F72 4 8 12 16 20 Min: 17.33 / Avg: 17.38 / Max: 17.42 Min: 16.74 / Avg: 16.8 / Max: 16.86 Min: 16.1 / Avg: 16.15 / Max: 16.17 Min: 15.91 / Avg: 16.02 / Max: 16.14 Min: 15.84 / Avg: 15.89 / Max: 15.98 Min: 15.38 / Avg: 15.49 / Max: 15.55 Min: 15.28 / Avg: 15.29 / Max: 15.3 Min: 15.2 / Avg: 15.28 / Max: 15.33 Min: 14.95 / Avg: 15.04 / Max: 15.1 Min: 14.83 / Avg: 14.95 / Max: 15.07 Min: 14.81 / Avg: 14.89 / Max: 15 Min: 14.81 / Avg: 14.88 / Max: 15.01 Min: 14.83 / Avg: 14.87 / Max: 14.9 Min: 14.76 / Avg: 14.85 / Max: 14.97 Min: 14.8 / Avg: 14.81 / Max: 14.83 Min: 14.77 / Avg: 14.79 / Max: 14.81 Min: 14.73 / Avg: 14.75 / Max: 14.78 Min: 13.31 / Avg: 13.37 / Max: 13.42 Min: 12.37 / Avg: 12.41 / Max: 12.44 Min: 11.24 / Avg: 11.24 / Max: 11.25 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 7262 EPYC 7302P EPYC 7352 EPYC 7532 EPYC 7402P EPYC 7232P EPYC 7282 EPYC 7662 EPYC 7452 EPYC 7252 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7272 EPYC 7F32 EPYC 7F52 EPYC 7F72 1000 2000 3000 4000 5000 SE +/- 4.01, N = 3 SE +/- 6.14, N = 3 SE +/- 4.65, N = 3 SE +/- 13.12, N = 3 SE +/- 8.90, N = 3 SE +/- 11.57, N = 3 SE +/- 1.63, N = 3 SE +/- 9.37, N = 3 SE +/- 10.25, N = 3 SE +/- 15.99, N = 3 SE +/- 12.34, N = 3 SE +/- 15.04, N = 3 SE +/- 4.85, N = 3 SE +/- 14.10, N = 3 SE +/- 2.06, N = 3 SE +/- 2.04, N = 3 SE +/- 3.23, N = 3 SE +/- 9.36, N = 3 SE +/- 7.15, N = 3 SE +/- 1.31, N = 3 2878 2977 3098 3123 3147 3230 3272 3273 3327 3346 3358 3362 3364 3368 3377 3382 3390 3741 4029 4449 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 7262 EPYC 7302P EPYC 7352 EPYC 7532 EPYC 7402P EPYC 7232P EPYC 7282 EPYC 7662 EPYC 7452 EPYC 7252 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7272 EPYC 7F32 EPYC 7F52 EPYC 7F72 800 1600 2400 3200 4000 Min: 2871.61 / Avg: 2877.76 / Max: 2885.29 Min: 2967.51 / Avg: 2977.32 / Max: 2988.61 Min: 3093.05 / Avg: 3098.13 / Max: 3107.42 Min: 3098.75 / Avg: 3122.83 / Max: 3143.89 Min: 3129.71 / Avg: 3147.27 / Max: 3158.56 Min: 3216.88 / Avg: 3229.71 / Max: 3252.81 Min: 3268.78 / Avg: 3271.87 / Max: 3274.31 Min: 3262.47 / Avg: 3273.27 / Max: 3291.93 Min: 3313.45 / Avg: 3326.77 / Max: 3346.92 Min: 3318.02 / Avg: 3346.08 / Max: 3373.39 Min: 3335.68 / Avg: 3358.5 / Max: 3378.07 Min: 3332 / Avg: 3362.06 / Max: 3378.15 Min: 3356.73 / Avg: 3364.45 / Max: 3373.4 Min: 3341.38 / Avg: 3367.51 / Max: 3389.77 Min: 3373.11 / Avg: 3376.68 / Max: 3380.25 Min: 3378.64 / Avg: 3382.28 / Max: 3385.69 Min: 3383.71 / Avg: 3389.79 / Max: 3394.75 Min: 3725.9 / Avg: 3740.97 / Max: 3758.14 Min: 4020.68 / Avg: 4028.65 / Max: 4042.93 Min: 4446.99 / Avg: 4449.47 / Max: 4451.42 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 7662 EPYC 7452 EPYC 7502P EPYC 7502 EPYC 7552 EPYC 7702 EPYC 7262 EPYC 7532 EPYC 7302P EPYC 7232P EPYC 7542 EPYC 7642 EPYC 7352 EPYC 7402P EPYC 7282 EPYC 7252 EPYC 7272 EPYC 7F72 EPYC 7F52 EPYC 7F32 400 800 1200 1600 2000 SE +/- 10.46, N = 3 SE +/- 5.28, N = 3 SE +/- 2.04, N = 3 SE +/- 4.26, N = 3 SE +/- 2.72, N = 3 SE +/- 5.43, N = 3 SE +/- 9.23, N = 3 SE +/- 0.83, N = 3 SE +/- 5.14, N = 3 SE +/- 8.59, N = 3 SE +/- 21.70, N = 4 SE +/- 2.75, N = 3 SE +/- 3.89, N = 3 SE +/- 2.61, N = 3 SE +/- 2.60, N = 3 SE +/- 19.55, N = 6 SE +/- 17.96, N = 8 SE +/- 25.56, N = 4 SE +/- 8.17, N = 3 SE +/- 13.68, N = 3 1251.89 1259.04 1542.43 1571.84 1573.20 1575.39 1584.29 1590.82 1598.23 1603.94 1604.88 1606.89 1622.60 1636.48 1659.95 1678.20 1725.53 1849.32 1850.53 1927.48 1. (CC) gcc options: -O2 -lm -pthread -lmpi
Result Confidence
OpenBenchmarking.org MB/s, More Is Better IOR 3.2.1 Write Test EPYC 7662 EPYC 7452 EPYC 7502P EPYC 7502 EPYC 7552 EPYC 7702 EPYC 7262 EPYC 7532 EPYC 7302P EPYC 7232P EPYC 7542 EPYC 7642 EPYC 7352 EPYC 7402P EPYC 7282 EPYC 7252 EPYC 7272 EPYC 7F72 EPYC 7F52 EPYC 7F32 300 600 900 1200 1500 Min: 1231.03 / Avg: 1251.89 / Max: 1263.75 Min: 1248.55 / Avg: 1259.04 / Max: 1265.36 Min: 1538.62 / Avg: 1542.43 / Max: 1545.61 Min: 1566.18 / Avg: 1571.84 / Max: 1580.18 Min: 1568.76 / Avg: 1573.2 / Max: 1578.14 Min: 1564.62 / Avg: 1575.39 / Max: 1582.05 Min: 1572.77 / Avg: 1584.29 / Max: 1602.55 Min: 1589.42 / Avg: 1590.82 / Max: 1592.28 Min: 1589.01 / Avg: 1598.23 / Max: 1606.76 Min: 1590.02 / Avg: 1603.94 / Max: 1619.63 Min: 1579.94 / Avg: 1604.88 / Max: 1669.75 Min: 1601.58 / Avg: 1606.89 / Max: 1610.78 Min: 1617.44 / Avg: 1622.6 / Max: 1630.22 Min: 1633.32 / Avg: 1636.48 / Max: 1641.66 Min: 1657.12 / Avg: 1659.95 / Max: 1665.15 Min: 1584.67 / Avg: 1678.2 / Max: 1716.09 Min: 1649.54 / Avg: 1725.53 / Max: 1795.82 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 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 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7352 EPYC 7532 EPYC 7452 EPYC 7232P EPYC 7272 EPYC 7402P EPYC 7302P EPYC 7262 EPYC 7252 EPYC 7502P EPYC 7502 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7282 EPYC 7542 0.2633 0.5266 0.7899 1.0532 1.3165 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 +/- 0.01, 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 1.17 1.04 1.02 0.98 0.98 0.96 0.91 0.90 0.88 0.87 0.86 0.86 0.85 0.82 0.82 0.81 0.80 0.79 0.79 0.76 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 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7352 EPYC 7532 EPYC 7452 EPYC 7232P EPYC 7272 EPYC 7402P EPYC 7302P EPYC 7262 EPYC 7252 EPYC 7502P EPYC 7502 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7282 EPYC 7542 2 4 6 8 10 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: 0.98 / Avg: 0.98 / Max: 0.98 Min: 0.95 / Avg: 0.96 / Max: 0.96 Min: 0.91 / Avg: 0.91 / Max: 0.91 Min: 0.89 / Avg: 0.9 / Max: 0.91 Min: 0.87 / Avg: 0.88 / Max: 0.88 Min: 0.87 / Avg: 0.87 / Max: 0.87 Min: 0.86 / Avg: 0.86 / Max: 0.87 Min: 0.86 / Avg: 0.86 / Max: 0.86 Min: 0.85 / Avg: 0.85 / Max: 0.85 Min: 0.81 / Avg: 0.82 / Max: 0.82 Min: 0.82 / Avg: 0.82 / Max: 0.83 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: 0.79 / Avg: 0.79 / Max: 0.79 Min: 0.76 / Avg: 0.76 / Max: 0.77 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 7232P EPYC 7252 EPYC 7662 EPYC 7262 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7532 EPYC 7F32 EPYC 7352 EPYC 7452 EPYC 7502P EPYC 7502 EPYC 7272 EPYC 7302P EPYC 7542 EPYC 7402P EPYC 7282 EPYC 7F52 EPYC 7F72 1200 2400 3600 4800 6000 SE +/- 33.61, N = 4 SE +/- 57.45, N = 6 SE +/- 25.70, N = 4 SE +/- 23.84, N = 4 SE +/- 42.50, N = 4 SE +/- 32.48, N = 4 SE +/- 57.02, N = 4 SE +/- 59.76, N = 4 SE +/- 18.54, N = 4 SE +/- 38.40, N = 4 SE +/- 44.81, N = 4 SE +/- 63.41, N = 4 SE +/- 29.29, N = 4 SE +/- 41.98, N = 4 SE +/- 25.86, N = 4 SE +/- 34.26, N = 4 SE +/- 38.80, N = 4 SE +/- 18.17, N = 4 SE +/- 24.42, N = 4 SE +/- 39.71, N = 4 5414 4976 4968 4965 4921 4747 4689 4609 4485 4466 4460 4385 4365 4334 4277 4269 4203 4190 3796 3535
Result Confidence
OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 9.12-MR1 Java Test: Tradesoap EPYC 7232P EPYC 7252 EPYC 7662 EPYC 7262 EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7532 EPYC 7F32 EPYC 7352 EPYC 7452 EPYC 7502P EPYC 7502 EPYC 7272 EPYC 7302P EPYC 7542 EPYC 7402P EPYC 7282 EPYC 7F52 EPYC 7F72 900 1800 2700 3600 4500 Min: 5331 / Avg: 5413.5 / Max: 5479 Min: 4811 / Avg: 4975.5 / Max: 5170 Min: 4901 / Avg: 4967.75 / Max: 5022 Min: 4897 / Avg: 4964.5 / Max: 5008 Min: 4832 / Avg: 4920.5 / Max: 5010 Min: 4657 / Avg: 4746.75 / Max: 4812 Min: 4535 / Avg: 4689 / Max: 4810 Min: 4497 / Avg: 4609 / Max: 4752 Min: 4445 / Avg: 4484.75 / Max: 4522 Min: 4397 / Avg: 4466 / Max: 4553 Min: 4327 / Avg: 4460.25 / Max: 4515 Min: 4213 / Avg: 4385.25 / Max: 4514 Min: 4311 / Avg: 4364.75 / Max: 4444 Min: 4270 / Avg: 4334.25 / Max: 4456 Min: 4206 / Avg: 4276.75 / Max: 4326 Min: 4173 / Avg: 4268.5 / Max: 4334 Min: 4087 / Avg: 4202.5 / Max: 4251 Min: 4150 / Avg: 4190.25 / Max: 4221 Min: 3752 / Avg: 3795.5 / Max: 3862 Min: 3451 / Avg: 3534.75 / Max: 3614
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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7352 EPYC 7302P EPYC 7452 EPYC 7532 EPYC 7702 EPYC 7662 EPYC 7552 EPYC 7642 EPYC 7502P EPYC 7502 EPYC 7402P EPYC 7542 EPYC 7F32 EPYC 7F52 EPYC 7F72 30 60 90 120 150 SE +/- 0.08, N = 3 SE +/- 0.08, N = 3 SE +/- 0.05, N = 3 SE +/- 0.10, N = 3 SE +/- 0.02, N = 3 SE +/- 0.12, N = 3 SE +/- 0.03, N = 3 SE +/- 0.11, N = 3 SE +/- 0.06, N = 3 SE +/- 0.18, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.12, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 143.40 140.57 135.68 127.68 121.55 120.96 119.58 116.60 116.10 115.83 115.71 115.39 115.32 114.78 114.73 114.29 112.62 111.26 95.51 93.92
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed GDB GNU Debugger Compilation 9.1 Time To Compile EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7352 EPYC 7302P EPYC 7452 EPYC 7532 EPYC 7702 EPYC 7662 EPYC 7552 EPYC 7642 EPYC 7502P EPYC 7502 EPYC 7402P EPYC 7542 EPYC 7F32 EPYC 7F52 EPYC 7F72 30 60 90 120 150 Min: 143.24 / Avg: 143.4 / Max: 143.52 Min: 140.43 / Avg: 140.57 / Max: 140.71 Min: 135.6 / Avg: 135.68 / Max: 135.77 Min: 127.57 / Avg: 127.68 / Max: 127.89 Min: 121.53 / Avg: 121.54 / Max: 121.58 Min: 120.77 / Avg: 120.96 / Max: 121.17 Min: 119.53 / Avg: 119.58 / Max: 119.63 Min: 116.42 / Avg: 116.6 / Max: 116.8 Min: 115.98 / Avg: 116.1 / Max: 116.19 Min: 115.47 / Avg: 115.83 / Max: 116.05 Min: 115.66 / Avg: 115.71 / Max: 115.79 Min: 115.28 / Avg: 115.39 / Max: 115.49 Min: 115.1 / Avg: 115.32 / Max: 115.53 Min: 114.74 / Avg: 114.78 / Max: 114.82 Min: 114.64 / Avg: 114.73 / Max: 114.79 Min: 114.18 / Avg: 114.29 / Max: 114.34 Min: 112.54 / Avg: 112.62 / Max: 112.69 Min: 111.16 / Avg: 111.26 / Max: 111.36 Min: 95.39 / Avg: 95.51 / Max: 95.63 Min: 93.85 / Avg: 93.92 / Max: 94.02
OpenVINO
Result
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7352 EPYC 7552 EPYC 7532 EPYC 7452 EPYC 7232P EPYC 7402P EPYC 7302P EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7502P EPYC 7502 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7282 EPYC 7542 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 +/- 0.01, 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 1.17 1.04 1.02 0.98 0.97 0.95 0.91 0.90 0.88 0.88 0.88 0.86 0.85 0.83 0.82 0.81 0.80 0.79 0.79 0.77 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 7702 EPYC 7662 EPYC 7642 EPYC 7352 EPYC 7552 EPYC 7532 EPYC 7452 EPYC 7232P EPYC 7402P EPYC 7302P EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7502P EPYC 7502 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7282 EPYC 7542 2 4 6 8 10 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: 0.98 / Avg: 0.98 / Max: 0.98 Min: 0.97 / Avg: 0.97 / Max: 0.98 Min: 0.95 / Avg: 0.95 / Max: 0.95 Min: 0.91 / Avg: 0.91 / Max: 0.92 Min: 0.89 / Avg: 0.9 / Max: 0.9 Min: 0.87 / Avg: 0.88 / Max: 0.89 Min: 0.88 / Avg: 0.88 / Max: 0.88 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: 0.82 / Avg: 0.83 / Max: 0.83 Min: 0.82 / Avg: 0.82 / Max: 0.82 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: 0.79 / Avg: 0.79 / Max: 0.8 Min: 0.76 / Avg: 0.77 / Max: 0.77 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 7302P EPYC 7282 EPYC 7232P EPYC 7352 EPYC 7F52 EPYC 7262 EPYC 7402P EPYC 7272 EPYC 7252 EPYC 7F72 EPYC 7702 EPYC 7F32 EPYC 7532 EPYC 7662 EPYC 7552 EPYC 7642 EPYC 7502 EPYC 7502P EPYC 7452 EPYC 7542 2 4 6 8 10 SE +/- 0.063, N = 3 SE +/- 0.106, N = 3 SE +/- 0.027, N = 12 SE +/- 0.121, N = 15 SE +/- 0.012, N = 15 SE +/- 0.036, N = 3 SE +/- 0.074, N = 15 SE +/- 0.067, N = 12 SE +/- 0.039, N = 3 SE +/- 0.071, N = 15 SE +/- 0.025, N = 12 SE +/- 0.068, N = 3 SE +/- 0.074, N = 15 SE +/- 0.023, N = 15 SE +/- 0.028, N = 15 SE +/- 0.087, N = 3 SE +/- 0.071, N = 12 SE +/- 0.014, N = 3 SE +/- 0.034, N = 15 SE +/- 0.012, N = 12 6.986 6.353 6.320 6.138 6.099 5.979 5.905 5.899 5.882 5.847 5.630 5.581 5.313 5.077 5.059 5.032 5.027 4.920 4.864 4.674 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 7302P EPYC 7282 EPYC 7232P EPYC 7352 EPYC 7F52 EPYC 7262 EPYC 7402P EPYC 7272 EPYC 7252 EPYC 7F72 EPYC 7702 EPYC 7F32 EPYC 7532 EPYC 7662 EPYC 7552 EPYC 7642 EPYC 7502 EPYC 7502P EPYC 7452 EPYC 7542 3 6 9 12 15 Min: 6.86 / Avg: 6.99 / Max: 7.06 Min: 6.14 / Avg: 6.35 / Max: 6.46 Min: 6.18 / Avg: 6.32 / Max: 6.49 Min: 5.41 / Avg: 6.14 / Max: 6.86 Min: 6 / Avg: 6.1 / Max: 6.16 Min: 5.91 / Avg: 5.98 / Max: 6.03 Min: 5.45 / Avg: 5.91 / Max: 6.45 Min: 5.56 / Avg: 5.9 / Max: 6.3 Min: 5.83 / Avg: 5.88 / Max: 5.96 Min: 5.51 / Avg: 5.85 / Max: 6.23 Min: 5.48 / Avg: 5.63 / Max: 5.83 Min: 5.51 / Avg: 5.58 / Max: 5.72 Min: 4.77 / Avg: 5.31 / Max: 5.9 Min: 4.83 / Avg: 5.08 / Max: 5.22 Min: 4.82 / Avg: 5.06 / Max: 5.19 Min: 4.88 / Avg: 5.03 / Max: 5.18 Min: 4.7 / Avg: 5.03 / Max: 5.59 Min: 4.9 / Avg: 4.92 / Max: 4.95 Min: 4.63 / Avg: 4.86 / Max: 5.19 Min: 4.61 / Avg: 4.67 / Max: 4.76 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 7532 EPYC 7452 EPYC 7352 EPYC 7502P EPYC 7502 EPYC 7272 EPYC 7542 EPYC 7252 EPYC 7F72 EPYC 7232P EPYC 7642 EPYC 7282 EPYC 7402P EPYC 7262 EPYC 7302P EPYC 7F32 EPYC 7F52 EPYC 7552 EPYC 7702 EPYC 7662 40K 80K 120K 160K 200K SE +/- 2602.65, N = 4 SE +/- 65.84, N = 3 SE +/- 283.68, N = 3 SE +/- 119.50, N = 3 SE +/- 177.34, N = 3 SE +/- 2784.79, N = 3 SE +/- 309.87, N = 3 SE +/- 872.40, N = 3 SE +/- 1785.82, N = 3 SE +/- 1138.71, N = 3 SE +/- 4669.23, N = 12 SE +/- 18.90, N = 3 SE +/- 104.74, N = 3 SE +/- 49.13, N = 3 SE +/- 74.55, N = 3 SE +/- 259.29, N = 3 SE +/- 158.88, N = 3 SE +/- 5113.88, N = 12 SE +/- 207.27, N = 3 SE +/- 118.55, N = 3 182245 170209 169060 163571 163216 161347 157348 152406 151858 151504 150608 150213 149533 148683 147070 138475 138300 132666 123652 122716 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 7532 EPYC 7452 EPYC 7352 EPYC 7502P EPYC 7502 EPYC 7272 EPYC 7542 EPYC 7252 EPYC 7F72 EPYC 7232P EPYC 7642 EPYC 7282 EPYC 7402P EPYC 7262 EPYC 7302P EPYC 7F32 EPYC 7F52 EPYC 7552 EPYC 7702 EPYC 7662 30K 60K 90K 120K 150K Min: 175128 / Avg: 182244.75 / Max: 187464 Min: 170097 / Avg: 170209.33 / Max: 170325 Min: 168535 / Avg: 169059.67 / Max: 169509 Min: 163333 / Avg: 163571.33 / Max: 163706 Min: 163025 / Avg: 163215.67 / Max: 163570 Min: 156030 / Avg: 161346.67 / Max: 165442 Min: 156779 / Avg: 157348.33 / Max: 157845 Min: 150661 / Avg: 152405.67 / Max: 153296 Min: 149741 / Avg: 151858.33 / Max: 155408 Min: 150249 / Avg: 151503.67 / Max: 153777 Min: 121179 / Avg: 150607.67 / Max: 168454 Min: 150185 / Avg: 150213 / Max: 150249 Min: 149413 / Avg: 149533.33 / Max: 149742 Min: 148596 / Avg: 148683.33 / Max: 148766 Min: 146991 / Avg: 147070 / Max: 147219 Min: 137991 / Avg: 138475.33 / Max: 138878 Min: 138096 / Avg: 138300 / Max: 138613 Min: 119362 / Avg: 132665.67 / Max: 167664 Min: 123343 / Avg: 123652.33 / Max: 124046 Min: 122555 / Avg: 122715.67 / Max: 122947 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 7262 EPYC 7402P EPYC 7302P EPYC 7352 EPYC 7532 EPYC 7452 EPYC 7502P EPYC 7542 EPYC 7502 EPYC 7282 EPYC 7642 EPYC 7552 EPYC 7272 EPYC 7232P EPYC 7702 EPYC 7662 EPYC 7252 EPYC 7F32 EPYC 7F52 EPYC 7F72 700 1400 2100 2800 3500 SE +/- 22.64, N = 3 SE +/- 7.36, N = 3 SE +/- 23.10, N = 3 SE +/- 30.62, N = 3 SE +/- 17.47, N = 3 SE +/- 23.27, N = 3 SE +/- 12.17, N = 3 SE +/- 22.21, N = 3 SE +/- 10.16, N = 3 SE +/- 4.52, N = 3 SE +/- 24.83, N = 3 SE +/- 6.79, N = 3 SE +/- 22.43, N = 3 SE +/- 3.48, N = 3 SE +/- 18.57, N = 3 SE +/- 35.00, N = 4 SE +/- 10.14, N = 3 SE +/- 7.30, N = 3 SE +/- 15.04, N = 3 SE +/- 24.07, N = 3 2328 2394 2418 2457 2457 2500 2517 2528 2535 2667 2671 2693 2697 2731 2738 2770 2780 3006 3221 3415 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 7262 EPYC 7402P EPYC 7302P EPYC 7352 EPYC 7532 EPYC 7452 EPYC 7502P EPYC 7542 EPYC 7502 EPYC 7282 EPYC 7642 EPYC 7552 EPYC 7272 EPYC 7232P EPYC 7702 EPYC 7662 EPYC 7252 EPYC 7F32 EPYC 7F52 EPYC 7F72 600 1200 1800 2400 3000 Min: 2289.82 / Avg: 2328.44 / Max: 2368.24 Min: 2385.23 / Avg: 2394.11 / Max: 2408.72 Min: 2377.38 / Avg: 2418.12 / Max: 2457.35 Min: 2421.18 / Avg: 2457.42 / Max: 2518.29 Min: 2423.61 / Avg: 2456.72 / Max: 2482.93 Min: 2465.63 / Avg: 2500.49 / Max: 2544.62 Min: 2494.25 / Avg: 2516.54 / Max: 2536.14 Min: 2483.62 / Avg: 2527.96 / Max: 2552.45 Min: 2523.35 / Avg: 2534.67 / Max: 2554.94 Min: 2662.62 / Avg: 2667.31 / Max: 2676.34 Min: 2623.14 / Avg: 2671.2 / Max: 2706.08 Min: 2678.96 / Avg: 2692.53 / Max: 2699.86 Min: 2655.86 / Avg: 2697.37 / Max: 2732.85 Min: 2724.61 / Avg: 2730.99 / Max: 2736.57 Min: 2711.95 / Avg: 2737.69 / Max: 2773.75 Min: 2667.34 / Avg: 2769.78 / Max: 2823.7 Min: 2760.32 / Avg: 2780.49 / Max: 2792.45 Min: 2995.56 / Avg: 3005.63 / Max: 3019.81 Min: 3192.63 / Avg: 3220.59 / Max: 3244.19 Min: 3373.98 / Avg: 3415.45 / Max: 3457.36 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 7262 EPYC 7402P EPYC 7302P EPYC 7352 EPYC 7532 EPYC 7452 EPYC 7502P EPYC 7542 EPYC 7502 EPYC 7282 EPYC 7642 EPYC 7552 EPYC 7272 EPYC 7232P EPYC 7702 EPYC 7662 EPYC 7252 EPYC 7F32 EPYC 7F52 EPYC 7F72 10 20 30 40 50 SE +/- 0.42, N = 3 SE +/- 0.13, N = 3 SE +/- 0.40, N = 3 SE +/- 0.50, N = 3 SE +/- 0.29, N = 3 SE +/- 0.37, N = 3 SE +/- 0.19, N = 3 SE +/- 0.35, N = 3 SE +/- 0.17, N = 3 SE +/- 0.06, N = 3 SE +/- 0.36, N = 3 SE +/- 0.09, N = 3 SE +/- 0.31, N = 3 SE +/- 0.05, N = 3 SE +/- 0.25, N = 3 SE +/- 0.47, N = 4 SE +/- 0.13, N = 3 SE +/- 0.08, N = 3 SE +/- 0.15, N = 3 SE +/- 0.20, N = 3 42.98 41.83 41.41 40.78 40.77 40.06 39.79 39.62 39.52 37.53 37.50 37.20 37.11 36.64 36.59 36.18 35.99 33.29 31.08 29.32 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 7262 EPYC 7402P EPYC 7302P EPYC 7352 EPYC 7532 EPYC 7452 EPYC 7502P EPYC 7542 EPYC 7502 EPYC 7282 EPYC 7642 EPYC 7552 EPYC 7272 EPYC 7232P EPYC 7702 EPYC 7662 EPYC 7252 EPYC 7F32 EPYC 7F52 EPYC 7F72 9 18 27 36 45 Min: 42.25 / Avg: 42.98 / Max: 43.7 Min: 41.57 / Avg: 41.83 / Max: 41.98 Min: 40.73 / Avg: 41.4 / Max: 42.11 Min: 39.78 / Avg: 40.78 / Max: 41.36 Min: 40.36 / Avg: 40.77 / Max: 41.32 Min: 39.36 / Avg: 40.06 / Max: 40.63 Min: 39.49 / Avg: 39.79 / Max: 40.16 Min: 39.23 / Avg: 39.62 / Max: 40.33 Min: 39.19 / Avg: 39.52 / Max: 39.7 Min: 37.4 / Avg: 37.53 / Max: 37.59 Min: 37.01 / Avg: 37.5 / Max: 38.19 Min: 37.09 / Avg: 37.2 / Max: 37.38 Min: 36.63 / Avg: 37.11 / Max: 37.68 Min: 36.56 / Avg: 36.64 / Max: 36.72 Min: 36.1 / Avg: 36.59 / Max: 36.93 Min: 35.48 / Avg: 36.18 / Max: 37.56 Min: 35.83 / Avg: 35.99 / Max: 36.25 Min: 33.13 / Avg: 33.29 / Max: 33.4 Min: 30.85 / Avg: 31.08 / Max: 31.35 Min: 28.97 / Avg: 29.32 / Max: 29.67 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 7262 EPYC 7252 EPYC 7232P EPYC 7F32 EPYC 7352 EPYC 7302P EPYC 7532 EPYC 7452 EPYC 7662 EPYC 7702 EPYC 7552 EPYC 7402P EPYC 7502 EPYC 7642 EPYC 7502P EPYC 7272 EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F72 600 1200 1800 2400 3000 SE +/- 6.33, N = 3 SE +/- 7.86, N = 3 SE +/- 8.15, N = 3 SE +/- 12.04, N = 3 SE +/- 1.63, N = 3 SE +/- 1.77, N = 3 SE +/- 3.11, N = 3 SE +/- 3.67, N = 3 SE +/- 1.85, N = 3 SE +/- 1.89, N = 3 SE +/- 1.98, N = 3 SE +/- 5.99, N = 3 SE +/- 5.31, N = 3 SE +/- 8.25, N = 3 SE +/- 3.57, N = 3 SE +/- 4.19, N = 3 SE +/- 2.21, N = 3 SE +/- 5.96, N = 3 SE +/- 3.98, N = 3 SE +/- 5.12, N = 3 1912 2055 2169 2193 2209 2301 2320 2346 2355 2385 2435 2445 2453 2483 2488 2504 2575 2602 2625 2768 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 7262 EPYC 7252 EPYC 7232P EPYC 7F32 EPYC 7352 EPYC 7302P EPYC 7532 EPYC 7452 EPYC 7662 EPYC 7702 EPYC 7552 EPYC 7402P EPYC 7502 EPYC 7642 EPYC 7502P EPYC 7272 EPYC 7F52 EPYC 7542 EPYC 7282 EPYC 7F72 500 1000 1500 2000 2500 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 Min: 2169.2 / Avg: 2193.12 / Max: 2207.51 Min: 2207.51 / Avg: 2209.13 / Max: 2212.39 Min: 2298.85 / Avg: 2300.62 / Max: 2304.15 Min: 2314.81 / Avg: 2320.19 / Max: 2325.58 Min: 2341.92 / Avg: 2345.59 / Max: 2352.94 Min: 2352.94 / Avg: 2354.79 / Max: 2358.49 Min: 2380.95 / Avg: 2384.74 / Max: 2386.63 Min: 2433.09 / Avg: 2435.07 / Max: 2439.02 Min: 2439.02 / Avg: 2445.02 / Max: 2457 Min: 2444.99 / Avg: 2453.01 / Max: 2463.05 Min: 2475.25 / Avg: 2483.5 / Max: 2500 Min: 2481.39 / Avg: 2487.57 / Max: 2493.77 Min: 2500 / Avg: 2504.19 / Max: 2512.56 Min: 2570.69 / Avg: 2575.11 / Max: 2577.32 Min: 2590.67 / Avg: 2601.94 / Max: 2610.97 Min: 2617.8 / Avg: 2624.68 / Max: 2631.58 Min: 2762.43 / Avg: 2767.55 / Max: 2777.78 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 7532 EPYC 7452 EPYC 7352 EPYC 7502P EPYC 7502 EPYC 7272 EPYC 7542 EPYC 7252 EPYC 7232P EPYC 7282 EPYC 7F72 EPYC 7402P EPYC 7262 EPYC 7302P EPYC 7642 EPYC 7F52 EPYC 7552 EPYC 7F32 EPYC 7702 EPYC 7662 20K 40K 60K 80K 100K SE +/- 482.48, N = 3 SE +/- 40.88, N = 3 SE +/- 295.81, N = 3 SE +/- 120.31, N = 3 SE +/- 95.35, N = 3 SE +/- 951.90, N = 3 SE +/- 34.00, N = 3 SE +/- 28.35, N = 3 SE +/- 159.45, N = 3 SE +/- 99.31, N = 3 SE +/- 270.59, N = 3 SE +/- 46.07, N = 3 SE +/- 48.50, N = 3 SE +/- 1639.18, N = 15 SE +/- 58.89, N = 3 SE +/- 2925.14, N = 15 SE +/- 215.91, N = 3 SE +/- 98.16, N = 3 SE +/- 14.77, N = 3 88694 85230 84809 81848 81683 80200 79050 76141 75301 75192 74949 74842 74361 73660 70290 69107 68979 68835 62139 61568 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 7532 EPYC 7452 EPYC 7352 EPYC 7502P EPYC 7502 EPYC 7272 EPYC 7542 EPYC 7252 EPYC 7232P EPYC 7282 EPYC 7F72 EPYC 7402P EPYC 7262 EPYC 7302P EPYC 7642 EPYC 7F52 EPYC 7552 EPYC 7F32 EPYC 7702 EPYC 7662 15K 30K 45K 60K 75K Min: 87822 / Avg: 88693.67 / Max: 89488 Min: 85148 / Avg: 85229.67 / Max: 85274 Min: 84435 / Avg: 84809 / Max: 85393 Min: 81658 / Avg: 81848.33 / Max: 82071 Min: 81585 / Avg: 81683.33 / Max: 81874 Min: 78418 / Avg: 80200.33 / Max: 81671 Min: 78982 / Avg: 79050 / Max: 79084 Min: 76107 / Avg: 76140.67 / Max: 76197 Min: 74989 / Avg: 75300.67 / Max: 75515 Min: 75035 / Avg: 75192.33 / Max: 75376 Min: 74488 / Avg: 74949 / Max: 75425 Min: 74784 / Avg: 74842 / Max: 74933 Min: 73563 / Avg: 73660 / Max: 73709 Min: 59832 / Avg: 70290.07 / Max: 83284 Min: 69005 / Avg: 69106.67 / Max: 69209 Min: 59677 / Avg: 68979.2 / Max: 84033 Min: 68517 / Avg: 68835 / Max: 69247 Min: 61998 / Avg: 62139.33 / Max: 62328 Min: 61539 / Avg: 61568.33 / Max: 61586 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 7352 EPYC 7282 EPYC 7262 EPYC 7272 EPYC 7532 EPYC 7232P EPYC 7252 EPYC 7552 EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7662 EPYC 7542 EPYC 7302P EPYC 7702 EPYC 7642 EPYC 7502P EPYC 7F32 EPYC 7F72 EPYC 7F52 2M 4M 6M 8M 10M SE +/- 66115.31, N = 6 SE +/- 91804.03, N = 3 SE +/- 54822.83, N = 10 SE +/- 83401.53, N = 4 SE +/- 23411.23, N = 3 SE +/- 78634.61, N = 5 SE +/- 64286.26, N = 3 SE +/- 58932.94, N = 9 SE +/- 60813.81, N = 3 SE +/- 27245.95, N = 3 SE +/- 43739.49, N = 3 SE +/- 16641.25, N = 3 SE +/- 47967.21, N = 3 SE +/- 4457.96, N = 3 SE +/- 11189.60, N = 3 SE +/- 5490.09, N = 3 SE +/- 16322.76, N = 3 SE +/- 33413.74, N = 3 SE +/- 13083.28, N = 3 SE +/- 13365.44, N = 3 5439046 5628949 5872734 5911066 5955306 5977043 6069924 6169606 6311538 6322595 6340115 6446053 6451888 6478221 6548322 6617325 6724444 7299102 7432010 7812765 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 7352 EPYC 7282 EPYC 7262 EPYC 7272 EPYC 7532 EPYC 7232P EPYC 7252 EPYC 7552 EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7662 EPYC 7542 EPYC 7302P EPYC 7702 EPYC 7642 EPYC 7502P EPYC 7F32 EPYC 7F72 EPYC 7F52 1.4M 2.8M 4.2M 5.6M 7M Min: 5307839 / Avg: 5439045.5 / Max: 5725219 Min: 5474789 / Avg: 5628948.67 / Max: 5792400 Min: 5665156 / Avg: 5872733.9 / Max: 6263416 Min: 5745490 / Avg: 5911066.25 / Max: 6083542 Min: 5911775 / Avg: 5955306.33 / Max: 5992006 Min: 5669153 / Avg: 5977043.4 / Max: 6096958 Min: 5950694 / Avg: 6069924.33 / Max: 6171208 Min: 5765543 / Avg: 6169606 / Max: 6421933 Min: 6230341 / Avg: 6311538 / Max: 6430560 Min: 6268240 / Avg: 6322595.33 / Max: 6353112 Min: 6255345 / Avg: 6340114.67 / Max: 6401208 Min: 6419058 / Avg: 6446052.67 / Max: 6476410 Min: 6356940 / Avg: 6451888.33 / Max: 6511244 Min: 6471681 / Avg: 6478221 / Max: 6486739 Min: 6526815 / Avg: 6548321.67 / Max: 6564434 Min: 6607733 / Avg: 6617325.33 / Max: 6626749 Min: 6706889 / Avg: 6724444.33 / Max: 6757058 Min: 7253372 / Avg: 7299102 / Max: 7364169 Min: 7406367 / Avg: 7432010.33 / Max: 7449341 Min: 7786435 / Avg: 7812765.33 / Max: 7829923 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7F32 EPYC 7702 EPYC 7282 EPYC 7352 EPYC 7302P EPYC 7662 EPYC 7642 EPYC 7532 EPYC 7552 EPYC 7452 EPYC 7402P EPYC 7502P EPYC 7502 EPYC 7F52 EPYC 7542 EPYC 7F72 16 32 48 64 80 SE +/- 0.08, N = 3 SE +/- 0.02, N = 3 SE +/- 0.10, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.12, N = 3 SE +/- 0.07, N = 3 SE +/- 0.07, N = 3 SE +/- 0.07, N = 3 SE +/- 0.10, N = 3 SE +/- 0.05, N = 3 SE +/- 0.11, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.08, N = 3 SE +/- 0.09, N = 3 SE +/- 0.02, N = 3 72.49 72.47 69.76 62.98 61.05 60.13 59.93 59.36 58.83 58.36 58.14 57.27 56.78 54.97 54.62 53.80 53.72 52.86 52.82 51.41 1. RawTherapee, version 5.8, command line.
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better RawTherapee Total Benchmark Time EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7F32 EPYC 7702 EPYC 7282 EPYC 7352 EPYC 7302P EPYC 7662 EPYC 7642 EPYC 7532 EPYC 7552 EPYC 7452 EPYC 7402P EPYC 7502P EPYC 7502 EPYC 7F52 EPYC 7542 EPYC 7F72 14 28 42 56 70 Min: 72.37 / Avg: 72.49 / Max: 72.65 Min: 72.43 / Avg: 72.47 / Max: 72.51 Min: 69.64 / Avg: 69.76 / Max: 69.97 Min: 62.92 / Avg: 62.98 / Max: 63.01 Min: 61.02 / Avg: 61.05 / Max: 61.08 Min: 59.99 / Avg: 60.13 / Max: 60.38 Min: 59.8 / Avg: 59.93 / Max: 60.03 Min: 59.28 / Avg: 59.36 / Max: 59.51 Min: 58.72 / Avg: 58.83 / Max: 58.96 Min: 58.17 / Avg: 58.36 / Max: 58.51 Min: 58.06 / Avg: 58.14 / Max: 58.22 Min: 57.1 / Avg: 57.27 / Max: 57.49 Min: 56.67 / Avg: 56.78 / Max: 56.91 Min: 54.91 / Avg: 54.97 / Max: 55.02 Min: 54.56 / Avg: 54.62 / Max: 54.71 Min: 53.76 / Avg: 53.8 / Max: 53.82 Min: 53.63 / Avg: 53.72 / Max: 53.77 Min: 52.74 / Avg: 52.86 / Max: 53.01 Min: 52.64 / Avg: 52.82 / Max: 52.94 Min: 51.38 / Avg: 51.41 / Max: 51.43 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 7532 EPYC 7252 EPYC 7272 EPYC 7352 EPYC 7262 EPYC 7452 EPYC 7502P EPYC 7502 EPYC 7402P EPYC 7542 EPYC 7232P EPYC 7282 EPYC 7302P EPYC 7F32 EPYC 7F72 EPYC 7F52 3 6 9 12 15 SE +/- 0.101, N = 3 SE +/- 0.032, N = 3 SE +/- 0.086, N = 3 SE +/- 0.080, N = 3 SE +/- 0.060, N = 3 SE +/- 0.029, N = 3 SE +/- 0.060, N = 3 SE +/- 0.124, N = 3 SE +/- 0.012, N = 3 SE +/- 0.091, N = 3 SE +/- 0.037, N = 3 SE +/- 0.041, N = 3 SE +/- 0.034, N = 3 SE +/- 0.049, N = 3 SE +/- 0.025, N = 3 SE +/- 0.014, N = 3 10.026 9.965 9.842 9.692 9.613 9.571 9.504 9.472 9.426 9.295 9.291 9.250 9.051 7.603 7.331 7.182 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 7532 EPYC 7252 EPYC 7272 EPYC 7352 EPYC 7262 EPYC 7452 EPYC 7502P EPYC 7502 EPYC 7402P EPYC 7542 EPYC 7232P EPYC 7282 EPYC 7302P EPYC 7F32 EPYC 7F72 EPYC 7F52 3 6 9 12 15 Min: 9.83 / Avg: 10.03 / Max: 10.16 Min: 9.9 / Avg: 9.97 / Max: 10 Min: 9.72 / Avg: 9.84 / Max: 10.01 Min: 9.54 / Avg: 9.69 / Max: 9.8 Min: 9.5 / Avg: 9.61 / Max: 9.7 Min: 9.52 / Avg: 9.57 / Max: 9.62 Min: 9.39 / Avg: 9.5 / Max: 9.57 Min: 9.33 / Avg: 9.47 / Max: 9.72 Min: 9.41 / Avg: 9.43 / Max: 9.45 Min: 9.13 / Avg: 9.29 / Max: 9.45 Min: 9.23 / Avg: 9.29 / Max: 9.36 Min: 9.2 / Avg: 9.25 / Max: 9.33 Min: 9 / Avg: 9.05 / Max: 9.12 Min: 7.52 / Avg: 7.6 / Max: 7.69 Min: 7.3 / Avg: 7.33 / Max: 7.38 Min: 7.16 / Avg: 7.18 / Max: 7.21 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 7232P EPYC 7252 EPYC 7352 EPYC 7272 EPYC 7282 EPYC 7662 EPYC 7532 EPYC 7642 EPYC 7552 EPYC 7302P EPYC 7702 EPYC 7402P EPYC 7502P EPYC 7452 EPYC 7502 EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 1.2047 2.4094 3.6141 4.8188 6.0235 SE +/- 0.035846, N = 3 SE +/- 0.029170, N = 3 SE +/- 0.041024, N = 3 SE +/- 0.001386, N = 3 SE +/- 0.005936, N = 3 SE +/- 0.006914, N = 3 SE +/- 0.005292, N = 3 SE +/- 0.007590, N = 3 SE +/- 0.012710, N = 3 SE +/- 0.003541, N = 3 SE +/- 0.011361, N = 3 SE +/- 0.006874, N = 3 SE +/- 0.004608, N = 3 SE +/- 0.003085, N = 3 SE +/- 0.009984, N = 3 SE +/- 0.011124, N = 3 SE +/- 0.002205, N = 3 SE +/- 0.010372, N = 3 SE +/- 0.009248, N = 3 SE +/- 0.005492, N = 3 5.354166 4.784334 4.777518 4.734690 4.670712 4.516180 4.510940 4.495252 4.490296 4.481216 4.452469 4.450068 4.449033 4.416565 4.412687 4.406652 4.362872 4.248951 3.867440 3.836466 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 7232P EPYC 7252 EPYC 7352 EPYC 7272 EPYC 7282 EPYC 7662 EPYC 7532 EPYC 7642 EPYC 7552 EPYC 7302P EPYC 7702 EPYC 7402P EPYC 7502P EPYC 7452 EPYC 7502 EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 2 4 6 8 10 Min: 5.29 / Avg: 5.35 / Max: 5.42 Min: 4.74 / Avg: 4.78 / Max: 4.84 Min: 4.7 / Avg: 4.78 / Max: 4.82 Min: 4.73 / Avg: 4.73 / Max: 4.74 Min: 4.66 / Avg: 4.67 / Max: 4.68 Min: 4.51 / Avg: 4.52 / Max: 4.53 Min: 4.51 / Avg: 4.51 / Max: 4.52 Min: 4.48 / Avg: 4.5 / Max: 4.51 Min: 4.47 / Avg: 4.49 / Max: 4.51 Min: 4.48 / Avg: 4.48 / Max: 4.49 Min: 4.43 / Avg: 4.45 / Max: 4.47 Min: 4.44 / Avg: 4.45 / Max: 4.46 Min: 4.44 / Avg: 4.45 / Max: 4.46 Min: 4.41 / Avg: 4.42 / Max: 4.42 Min: 4.4 / Avg: 4.41 / Max: 4.43 Min: 4.39 / Avg: 4.41 / Max: 4.43 Min: 4.36 / Avg: 4.36 / Max: 4.37 Min: 4.24 / Avg: 4.25 / Max: 4.27 Min: 3.85 / Avg: 3.87 / Max: 3.88 Min: 3.83 / Avg: 3.84 / Max: 3.85 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 7252 EPYC 7232P EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7352 EPYC 7302P EPYC 7F32 EPYC 7402P EPYC 7532 EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7542 EPYC 7702 EPYC 7F72 EPYC 7F52 2 4 6 8 10 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, 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 +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 7.39 7.30 6.97 6.77 6.45 6.35 6.27 6.11 5.92 5.91 5.83 5.80 5.79 5.77 5.76 5.73 5.69 5.67 5.39 5.32 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 7252 EPYC 7232P EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7352 EPYC 7302P EPYC 7F32 EPYC 7402P EPYC 7532 EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7542 EPYC 7702 EPYC 7F72 EPYC 7F52 3 6 9 12 15 Min: 7.38 / Avg: 7.39 / Max: 7.41 Min: 7.29 / Avg: 7.3 / Max: 7.31 Min: 6.97 / Avg: 6.97 / Max: 6.98 Min: 6.73 / Avg: 6.77 / Max: 6.81 Min: 6.43 / Avg: 6.45 / Max: 6.47 Min: 6.32 / Avg: 6.35 / Max: 6.38 Min: 6.26 / Avg: 6.27 / Max: 6.27 Min: 6.1 / Avg: 6.11 / Max: 6.12 Min: 5.89 / Avg: 5.92 / Max: 5.95 Min: 5.88 / Avg: 5.91 / Max: 5.93 Min: 5.82 / Avg: 5.83 / Max: 5.84 Min: 5.78 / Avg: 5.8 / Max: 5.83 Min: 5.78 / Avg: 5.79 / Max: 5.8 Min: 5.75 / Avg: 5.77 / Max: 5.79 Min: 5.75 / Avg: 5.76 / Max: 5.78 Min: 5.72 / Avg: 5.73 / Max: 5.73 Min: 5.66 / Avg: 5.69 / Max: 5.71 Min: 5.64 / Avg: 5.67 / Max: 5.69 Min: 5.38 / Avg: 5.39 / Max: 5.41 Min: 5.3 / Avg: 5.32 / Max: 5.35 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 7532 EPYC 7642 EPYC 7662 EPYC 7552 EPYC 7702 EPYC 7352 EPYC 7452 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7402P EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7232P EPYC 7252 EPYC 7F72 EPYC 7262 EPYC 7F52 EPYC 7F32 5 10 15 20 25 SE +/- 0.13, N = 3 SE +/- 0.04, N = 3 SE +/- 0.10, N = 3 SE +/- 0.12, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.12, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 19.03 18.63 18.44 18.39 18.31 18.25 18.17 17.96 17.94 17.65 17.28 16.93 16.88 16.45 16.31 16.29 16.20 15.74 15.38 13.75
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GIMP 2.10.18 Test: auto-levels EPYC 7532 EPYC 7642 EPYC 7662 EPYC 7552 EPYC 7702 EPYC 7352 EPYC 7452 EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7402P EPYC 7302P EPYC 7282 EPYC 7272 EPYC 7232P EPYC 7252 EPYC 7F72 EPYC 7262 EPYC 7F52 EPYC 7F32 5 10 15 20 25 Min: 18.79 / Avg: 19.03 / Max: 19.24 Min: 18.56 / Avg: 18.63 / Max: 18.69 Min: 18.23 / Avg: 18.44 / Max: 18.55 Min: 18.26 / Avg: 18.39 / Max: 18.63 Min: 18.27 / Avg: 18.31 / Max: 18.37 Min: 18.18 / Avg: 18.25 / Max: 18.39 Min: 17.98 / Avg: 18.17 / Max: 18.38 Min: 17.87 / Avg: 17.96 / Max: 18.06 Min: 17.92 / Avg: 17.94 / Max: 17.95 Min: 17.62 / Avg: 17.65 / Max: 17.69 Min: 17.22 / Avg: 17.28 / Max: 17.35 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: 16.27 / Avg: 16.31 / Max: 16.36 Min: 16.27 / Avg: 16.29 / Max: 16.3 Min: 16.17 / Avg: 16.2 / Max: 16.24 Min: 15.66 / Avg: 15.74 / Max: 15.82 Min: 15.29 / Avg: 15.38 / Max: 15.48 Min: 13.7 / Avg: 13.75 / Max: 13.81
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 7532 EPYC 7352 EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7272 EPYC 7402P EPYC 7282 EPYC 7F72 EPYC 7302P EPYC 7252 EPYC 7232P EPYC 7262 EPYC 7642 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7552 90K 180K 270K 360K 450K SE +/- 1305.38, N = 3 SE +/- 904.07, N = 3 SE +/- 583.08, N = 3 SE +/- 189.78, N = 3 SE +/- 403.57, N = 3 SE +/- 227.82, N = 3 SE +/- 1086.97, N = 3 SE +/- 687.60, N = 3 SE +/- 357.06, N = 3 SE +/- 688.36, N = 3 SE +/- 2314.26, N = 3 SE +/- 161.37, N = 3 SE +/- 1246.76, N = 3 SE +/- 108.93, N = 3 SE +/- 7856.58, N = 9 SE +/- 434.25, N = 3 SE +/- 510.20, N = 3 SE +/- 509.80, N = 3 SE +/- 339.60, N = 3 SE +/- 4952.89, N = 3 438631 428417 428034 408029 407984 390515 375660 371338 370870 370762 368724 368379 368302 365509 358400 345522 336529 324951 323169 317560 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 7532 EPYC 7352 EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7272 EPYC 7402P EPYC 7282 EPYC 7F72 EPYC 7302P EPYC 7252 EPYC 7232P EPYC 7262 EPYC 7642 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7662 EPYC 7552 80K 160K 240K 320K 400K Min: 436538 / Avg: 438631 / Max: 441029 Min: 427168 / Avg: 428417.33 / Max: 430174 Min: 427137 / Avg: 428034.33 / Max: 429128 Min: 407694 / Avg: 408029.33 / Max: 408351 Min: 407286 / Avg: 407984.33 / Max: 408684 Min: 390095 / Avg: 390515 / Max: 390878 Min: 373544 / Avg: 375660.33 / Max: 377149 Min: 369969 / Avg: 371337.67 / Max: 372138 Min: 370484 / Avg: 370869.67 / Max: 371583 Min: 369781 / Avg: 370762 / Max: 372089 Min: 366319 / Avg: 368723.67 / Max: 373351 Min: 368059 / Avg: 368378.67 / Max: 368577 Min: 365859 / Avg: 368302 / Max: 369956 Min: 365334 / Avg: 365509.33 / Max: 365709 Min: 335480 / Avg: 358400 / Max: 395035 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: 311387 / Avg: 317560.33 / Max: 327356 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 7352 EPYC 7662 EPYC 7232P EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7452 EPYC 7282 EPYC 7502 EPYC 7502P EPYC 7272 EPYC 7402P EPYC 7532 EPYC 7542 EPYC 7252 EPYC 7302P EPYC 7262 EPYC 7F72 EPYC 7F52 EPYC 7F32 8 16 24 32 40 SE +/- 0.04, N = 3 SE +/- 0.07, N = 3 SE +/- 0.10, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 SE +/- 0.13, N = 3 SE +/- 0.06, N = 3 SE +/- 0.29, N = 3 SE +/- 0.02, N = 3 SE +/- 0.10, N = 3 SE +/- 0.16, N = 3 SE +/- 0.12, N = 3 SE +/- 0.04, N = 3 SE +/- 0.09, N = 3 SE +/- 0.05, N = 3 33.82 33.66 33.56 33.54 33.28 33.26 32.97 32.94 32.76 32.74 32.52 32.46 32.44 32.40 32.18 32.00 30.66 26.26 24.80 24.72 1. EPYC 7352: rsvg-convert version 2.50.1 2. EPYC 7662: rsvg-convert version 2.50.1 3. EPYC 7232P: rsvg-convert version 2.50.1 4. EPYC 7702: rsvg-convert version 2.50.1 5. EPYC 7642: rsvg-convert version 2.50.1 6. EPYC 7552: rsvg-convert version 2.50.1 7. EPYC 7452: rsvg-convert version 2.50.1 8. EPYC 7282: rsvg-convert version 2.50.1 9. EPYC 7502: rsvg-convert version 2.50.1 10. EPYC 7502P: rsvg-convert version 2.50.1 11. EPYC 7272: rsvg-convert version 2.50.1 12. EPYC 7402P: rsvg-convert version 2.50.1 13. EPYC 7532: rsvg-convert version 2.50.1 14. EPYC 7542: rsvg-convert version 2.50.1 15. EPYC 7252: rsvg-convert version 2.50.1 16. EPYC 7302P: rsvg-convert version 2.50.1 17. EPYC 7262: rsvg-convert version 2.50.1 18. EPYC 7F72: rsvg-convert version 2.50.0 19. EPYC 7F52: rsvg-convert version 2.50.1 20. EPYC 7F32: rsvg-convert version 2.50.1
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better librsvg Operation: SVG Files To PNG EPYC 7352 EPYC 7662 EPYC 7232P EPYC 7702 EPYC 7642 EPYC 7552 EPYC 7452 EPYC 7282 EPYC 7502 EPYC 7502P EPYC 7272 EPYC 7402P EPYC 7532 EPYC 7542 EPYC 7252 EPYC 7302P EPYC 7262 EPYC 7F72 EPYC 7F52 EPYC 7F32 7 14 21 28 35 Min: 33.74 / Avg: 33.82 / Max: 33.87 Min: 33.55 / Avg: 33.66 / Max: 33.79 Min: 33.41 / Avg: 33.56 / Max: 33.74 Min: 33.49 / Avg: 33.54 / Max: 33.6 Min: 33.22 / Avg: 33.27 / Max: 33.33 Min: 33.22 / Avg: 33.26 / Max: 33.31 Min: 32.85 / Avg: 32.97 / Max: 33.11 Min: 32.89 / Avg: 32.94 / Max: 32.99 Min: 32.66 / Avg: 32.76 / Max: 32.83 Min: 32.59 / Avg: 32.74 / Max: 32.84 Min: 32.35 / Avg: 32.52 / Max: 32.78 Min: 32.35 / Avg: 32.46 / Max: 32.55 Min: 31.88 / Avg: 32.44 / Max: 32.87 Min: 32.37 / Avg: 32.4 / Max: 32.44 Min: 31.99 / Avg: 32.18 / Max: 32.32 Min: 31.69 / Avg: 32 / Max: 32.17 Min: 30.42 / Avg: 30.65 / Max: 30.84 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 1. EPYC 7352: rsvg-convert version 2.50.1 2. EPYC 7662: rsvg-convert version 2.50.1 3. EPYC 7232P: rsvg-convert version 2.50.1 4. EPYC 7702: rsvg-convert version 2.50.1 5. EPYC 7642: rsvg-convert version 2.50.1 6. EPYC 7552: rsvg-convert version 2.50.1 7. EPYC 7452: rsvg-convert version 2.50.1 8. EPYC 7282: rsvg-convert version 2.50.1 9. EPYC 7502: rsvg-convert version 2.50.1 10. EPYC 7502P: rsvg-convert version 2.50.1 11. EPYC 7272: rsvg-convert version 2.50.1 12. EPYC 7402P: rsvg-convert version 2.50.1 13. EPYC 7532: rsvg-convert version 2.50.1 14. EPYC 7542: rsvg-convert version 2.50.1 15. EPYC 7252: rsvg-convert version 2.50.1 16. EPYC 7302P: rsvg-convert version 2.50.1 17. EPYC 7262: rsvg-convert version 2.50.1 18. EPYC 7F72: rsvg-convert version 2.50.0 19. EPYC 7F52: rsvg-convert version 2.50.1 20. EPYC 7F32: 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 7532 EPYC 7642 EPYC 7702 EPYC 7352 EPYC 7452 EPYC 7662 EPYC 7552 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7402P EPYC 7302P EPYC 7282 EPYC 7F72 EPYC 7272 EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7F52 EPYC 7F32 6 12 18 24 30 SE +/- 0.08, N = 3 SE +/- 0.07, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.11, N = 3 SE +/- 0.10, N = 3 SE +/- 0.03, N = 3 SE +/- 0.11, N = 3 SE +/- 0.05, N = 3 SE +/- 0.15, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.10, N = 3 SE +/- 0.09, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 24.25 24.07 23.82 23.79 23.65 23.63 23.58 23.52 23.22 23.20 22.48 21.84 21.44 21.13 20.95 20.50 20.31 20.00 20.00 17.74
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GIMP 2.10.18 Test: unsharp-mask EPYC 7532 EPYC 7642 EPYC 7702 EPYC 7352 EPYC 7452 EPYC 7662 EPYC 7552 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7402P EPYC 7302P EPYC 7282 EPYC 7F72 EPYC 7272 EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7F52 EPYC 7F32 6 12 18 24 30 Min: 24.14 / Avg: 24.25 / Max: 24.4 Min: 23.98 / Avg: 24.07 / Max: 24.22 Min: 23.79 / Avg: 23.82 / Max: 23.84 Min: 23.73 / Avg: 23.79 / Max: 23.83 Min: 23.5 / Avg: 23.65 / Max: 23.85 Min: 23.46 / Avg: 23.63 / Max: 23.79 Min: 23.52 / Avg: 23.58 / Max: 23.62 Min: 23.3 / Avg: 23.52 / Max: 23.66 Min: 23.14 / Avg: 23.22 / Max: 23.3 Min: 23.02 / Avg: 23.2 / Max: 23.51 Min: 22.36 / Avg: 22.48 / Max: 22.58 Min: 21.81 / Avg: 21.84 / Max: 21.9 Min: 21.26 / Avg: 21.44 / Max: 21.62 Min: 21.02 / Avg: 21.13 / Max: 21.32 Min: 20.87 / Avg: 20.95 / Max: 21.03 Min: 20.43 / Avg: 20.5 / Max: 20.53 Min: 20.22 / Avg: 20.31 / Max: 20.36 Min: 19.95 / Avg: 20 / Max: 20.09 Min: 19.9 / Avg: 20 / Max: 20.09 Min: 17.67 / Avg: 17.74 / Max: 17.81
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 7532 EPYC 7282 EPYC 7272 EPYC 7252 EPYC 7232P EPYC 7352 EPYC 7642 EPYC 7542 EPYC 7302P EPYC 7662 EPYC 7402P EPYC 7502 EPYC 7502P EPYC 7702 EPYC 7452 EPYC 7552 EPYC 7262 EPYC 7F32 EPYC 7F72 EPYC 7F52 200 400 600 800 1000 SE +/- 38.98, N = 3 SE +/- 21.34, N = 3 SE +/- 11.22, N = 3 SE +/- 5.02, N = 3 SE +/- 15.59, N = 3 SE +/- 8.50, N = 3 SE +/- 5.88, N = 3 SE +/- 8.39, N = 3 SE +/- 11.51, N = 3 SE +/- 5.69, N = 3 SE +/- 4.03, N = 3 SE +/- 6.60, N = 3 SE +/- 7.47, N = 3 SE +/- 10.78, N = 3 SE +/- 10.86, N = 3 SE +/- 8.36, N = 3 SE +/- 4.67, N = 3 SE +/- 17.92, N = 3 SE +/- 11.47, N = 3 SE +/- 16.69, N = 3 652.80 713.64 716.82 719.49 725.40 726.84 748.18 752.97 757.12 762.29 766.08 766.54 767.66 768.64 769.74 770.26 774.32 847.88 851.93 887.80 1. (CC) gcc options: -lm
Result Confidence
OpenBenchmarking.org Mflops, More Is Better SciMark 2.0 Computational Test: Dense LU Matrix Factorization EPYC 7532 EPYC 7282 EPYC 7272 EPYC 7252 EPYC 7232P EPYC 7352 EPYC 7642 EPYC 7542 EPYC 7302P EPYC 7662 EPYC 7402P EPYC 7502 EPYC 7502P EPYC 7702 EPYC 7452 EPYC 7552 EPYC 7262 EPYC 7F32 EPYC 7F72 EPYC 7F52 160 320 480 640 800 Min: 612.21 / Avg: 652.8 / Max: 730.74 Min: 678.71 / Avg: 713.64 / Max: 752.34 Min: 700.45 / Avg: 716.82 / Max: 738.29 Min: 710.35 / Avg: 719.49 / Max: 727.66 Min: 698.44 / Avg: 725.4 / Max: 752.43 Min: 713.59 / Avg: 726.84 / Max: 742.7 Min: 741.69 / Avg: 748.18 / Max: 759.91 Min: 742.18 / Avg: 752.97 / Max: 769.49 Min: 743.57 / Avg: 757.12 / Max: 780.02 Min: 751.02 / Avg: 762.29 / Max: 769.3 Min: 758.09 / Avg: 766.08 / Max: 770.97 Min: 753.8 / Avg: 766.54 / Max: 775.89 Min: 753.77 / Avg: 767.66 / Max: 779.38 Min: 747.43 / Avg: 768.64 / Max: 782.6 Min: 750.01 / Avg: 769.74 / Max: 787.46 Min: 757.87 / Avg: 770.26 / Max: 786.18 Min: 766.02 / Avg: 774.32 / Max: 782.19 Min: 813.32 / Avg: 847.88 / Max: 873.38 Min: 833.91 / Avg: 851.93 / Max: 873.23 Min: 861.26 / Avg: 887.8 / Max: 918.59 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 7532 EPYC 7452 EPYC 7352 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7272 EPYC 7402P EPYC 7282 EPYC 7F72 EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7302P EPYC 7642 EPYC 7F52 EPYC 7F32 EPYC 7552 EPYC 7702 EPYC 7662 50K 100K 150K 200K 250K SE +/- 957.14, N = 3 SE +/- 206.99, N = 3 SE +/- 2045.88, N = 3 SE +/- 324.32, N = 3 SE +/- 129.37, N = 3 SE +/- 380.24, N = 3 SE +/- 851.31, N = 3 SE +/- 127.33, N = 3 SE +/- 267.63, N = 3 SE +/- 1306.16, N = 3 SE +/- 257.35, N = 3 SE +/- 315.77, N = 3 SE +/- 323.85, N = 3 SE +/- 69.83, N = 3 SE +/- 2682.21, N = 12 SE +/- 329.04, N = 3 SE +/- 330.74, N = 3 SE +/- 3084.79, N = 12 SE +/- 83.95, N = 3 SE +/- 489.67, N = 3 218984 213475 209600 203772 203437 195590 187798 185776 185308 184637 184509 183925 183100 183027 177549 172494 167810 165786 162845 161679 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 7532 EPYC 7452 EPYC 7352 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7272 EPYC 7402P EPYC 7282 EPYC 7F72 EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7302P EPYC 7642 EPYC 7F52 EPYC 7F32 EPYC 7552 EPYC 7702 EPYC 7662 40K 80K 120K 160K 200K Min: 217558 / Avg: 218984 / Max: 220803 Min: 213201 / Avg: 213475.33 / Max: 213881 Min: 207151 / Avg: 209599.67 / Max: 213663 Min: 203233 / Avg: 203772 / Max: 204354 Min: 203278 / Avg: 203436.67 / Max: 203693 Min: 195038 / Avg: 195590 / Max: 196319 Min: 186460 / Avg: 187798.33 / Max: 189379 Min: 185553 / Avg: 185776 / Max: 185994 Min: 184775 / Avg: 185308 / Max: 185617 Min: 182918 / Avg: 184637 / Max: 187200 Min: 184055 / Avg: 184509 / Max: 184946 Min: 183587 / Avg: 183925 / Max: 184556 Min: 182465 / Avg: 183099.67 / Max: 183529 Min: 182924 / Avg: 183026.67 / Max: 183160 Min: 157259 / Avg: 177549 / Max: 190775 Min: 171844 / Avg: 172494 / Max: 172908 Min: 167261 / Avg: 167809.67 / Max: 168404 Min: 155868 / Avg: 165785.58 / Max: 190504 Min: 162677 / Avg: 162844.67 / Max: 162936 Min: 160807 / Avg: 161679.33 / Max: 162501 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 7252 EPYC 7352 EPYC 7662 EPYC 7552 EPYC 7232P EPYC 7262 EPYC 7702 EPYC 7532 EPYC 7452 EPYC 7642 EPYC 7502 EPYC 7282 EPYC 7272 EPYC 7402P EPYC 7502P EPYC 7542 EPYC 7302P EPYC 7F72 EPYC 7F32 EPYC 7F52 6 12 18 24 30 SE +/- 0.22, N = 3 SE +/- 0.03, N = 3 SE +/- 0.09, N = 3 SE +/- 0.01, N = 3 SE +/- 0.12, N = 3 SE +/- 0.14, N = 3 SE +/- 0.11, N = 3 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 SE +/- 0.15, N = 3 SE +/- 0.05, N = 3 SE +/- 0.14, N = 3 SE +/- 0.16, N = 3 SE +/- 0.18, N = 3 SE +/- 0.11, N = 3 SE +/- 0.07, N = 3 SE +/- 0.06, N = 3 SE +/- 0.23, N = 3 SE +/- 0.10, N = 3 17.10 17.65 18.07 18.12 18.13 18.23 18.27 18.40 18.44 18.46 18.53 18.68 18.71 18.76 18.77 18.86 18.97 22.04 22.33 22.98 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 7252 EPYC 7352 EPYC 7662 EPYC 7552 EPYC 7232P EPYC 7262 EPYC 7702 EPYC 7532 EPYC 7452 EPYC 7642 EPYC 7502 EPYC 7282 EPYC 7272 EPYC 7402P EPYC 7502P EPYC 7542 EPYC 7302P EPYC 7F72 EPYC 7F32 EPYC 7F52 5 10 15 20 25 Min: 16.86 / Avg: 17.1 / Max: 17.53 Min: 17.62 / Avg: 17.65 / Max: 17.71 Min: 17.9 / Avg: 18.07 / Max: 18.19 Min: 18.09 / Avg: 18.12 / Max: 18.14 Min: 18 / Avg: 18.13 / Max: 18.37 Min: 17.95 / Avg: 18.23 / Max: 18.42 Min: 18.08 / Avg: 18.27 / Max: 18.46 Min: 18.31 / Avg: 18.4 / Max: 18.46 Min: 18.28 / Avg: 18.44 / Max: 18.53 Min: 18.41 / Avg: 18.46 / Max: 18.52 Min: 18.3 / Avg: 18.53 / Max: 18.82 Min: 18.6 / Avg: 18.68 / Max: 18.77 Min: 18.57 / Avg: 18.71 / Max: 18.98 Min: 18.6 / Avg: 18.76 / Max: 19.08 Min: 18.47 / Avg: 18.77 / Max: 19.08 Min: 18.67 / Avg: 18.86 / Max: 19.06 Min: 18.84 / Avg: 18.97 / Max: 19.04 Min: 21.97 / Avg: 22.04 / Max: 22.17 Min: 21.98 / Avg: 22.33 / Max: 22.76 Min: 22.8 / Avg: 22.98 / Max: 23.16 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 7352 EPYC 7702 EPYC 7252 EPYC 7662 EPYC 7552 EPYC 7642 EPYC 7272 EPYC 7452 EPYC 7232P EPYC 7532 EPYC 7262 EPYC 7502P EPYC 7282 EPYC 7502 EPYC 7402P EPYC 7542 EPYC 7302P EPYC 7F32 EPYC 7F72 EPYC 7F52 5 10 15 20 25 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.10, N = 3 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 SE +/- 0.08, N = 3 SE +/- 0.06, N = 3 SE +/- 0.14, N = 3 SE +/- 0.09, N = 3 SE +/- 0.10, N = 3 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 SE +/- 0.09, N = 3 14.53 14.66 14.73 14.78 14.82 14.83 15.04 15.04 15.11 15.17 15.29 15.30 15.43 15.44 15.69 15.80 15.93 18.05 18.99 19.50 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 7352 EPYC 7702 EPYC 7252 EPYC 7662 EPYC 7552 EPYC 7642 EPYC 7272 EPYC 7452 EPYC 7232P EPYC 7532 EPYC 7262 EPYC 7502P EPYC 7282 EPYC 7502 EPYC 7402P EPYC 7542 EPYC 7302P EPYC 7F32 EPYC 7F72 EPYC 7F52 5 10 15 20 25 Min: 14.47 / Avg: 14.53 / Max: 14.6 Min: 14.63 / Avg: 14.66 / Max: 14.72 Min: 14.71 / Avg: 14.73 / Max: 14.76 Min: 14.72 / Avg: 14.78 / Max: 14.86 Min: 14.79 / Avg: 14.82 / Max: 14.85 Min: 14.8 / Avg: 14.83 / Max: 14.86 Min: 15 / Avg: 15.04 / Max: 15.1 Min: 15 / Avg: 15.04 / Max: 15.08 Min: 15.01 / Avg: 15.11 / Max: 15.22 Min: 15.06 / Avg: 15.17 / Max: 15.37 Min: 15.22 / Avg: 15.29 / Max: 15.38 Min: 15.19 / Avg: 15.3 / Max: 15.39 Min: 15.28 / Avg: 15.43 / Max: 15.57 Min: 15.36 / Avg: 15.44 / Max: 15.56 Min: 15.55 / Avg: 15.69 / Max: 15.98 Min: 15.68 / Avg: 15.8 / Max: 15.97 Min: 15.78 / Avg: 15.93 / Max: 16.12 Min: 17.97 / Avg: 18.05 / Max: 18.15 Min: 18.88 / Avg: 18.99 / Max: 19.07 Min: 19.41 / Avg: 19.5 / Max: 19.68 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7352 EPYC 7282 EPYC 7302P EPYC 7662 EPYC 7532 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7452 EPYC 7502P EPYC 7502 EPYC 7402P EPYC 7542 EPYC 7F32 EPYC 7F72 EPYC 7F52 7 14 21 28 35 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.07, N = 3 SE +/- 0.10, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, 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 +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 30.66 30.39 28.95 28.79 28.52 28.02 27.38 27.21 27.21 27.18 27.14 26.94 26.90 26.82 26.81 26.70 26.41 24.53 23.65 22.87
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed Apache Compilation 2.4.41 Time To Compile EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7352 EPYC 7282 EPYC 7302P EPYC 7662 EPYC 7532 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7452 EPYC 7502P EPYC 7502 EPYC 7402P EPYC 7542 EPYC 7F32 EPYC 7F72 EPYC 7F52 7 14 21 28 35 Min: 30.61 / Avg: 30.66 / Max: 30.73 Min: 30.25 / Avg: 30.39 / Max: 30.49 Min: 28.87 / Avg: 28.95 / Max: 29.09 Min: 28.59 / Avg: 28.78 / Max: 28.89 Min: 28.45 / Avg: 28.52 / Max: 28.58 Min: 27.91 / Avg: 28.02 / Max: 28.08 Min: 27.36 / Avg: 27.38 / Max: 27.41 Min: 27.17 / Avg: 27.21 / Max: 27.25 Min: 27.16 / Avg: 27.21 / Max: 27.25 Min: 27.15 / Avg: 27.18 / Max: 27.21 Min: 27.12 / Avg: 27.14 / Max: 27.18 Min: 26.9 / Avg: 26.94 / Max: 26.98 Min: 26.86 / Avg: 26.89 / Max: 26.93 Min: 26.78 / Avg: 26.82 / Max: 26.88 Min: 26.78 / Avg: 26.81 / Max: 26.84 Min: 26.66 / Avg: 26.7 / Max: 26.78 Min: 26.39 / Avg: 26.41 / Max: 26.44 Min: 24.49 / Avg: 24.53 / Max: 24.61 Min: 23.59 / Avg: 23.65 / Max: 23.74 Min: 22.85 / Avg: 22.87 / Max: 22.89
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 7252 EPYC 7232P EPYC 7262 EPYC 7272 EPYC 7352 EPYC 7282 EPYC 7302P EPYC 7532 EPYC 7642 EPYC 7F32 EPYC 7402P EPYC 7552 EPYC 7662 EPYC 7452 EPYC 7502P EPYC 7502 EPYC 7702 EPYC 7542 EPYC 7F72 EPYC 7F52 14 28 42 56 70 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.27, N = 3 SE +/- 0.42, N = 3 SE +/- 0.10, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.10, N = 3 SE +/- 0.05, N = 3 SE +/- 0.19, N = 3 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 64.23 63.21 60.37 59.55 57.36 56.98 55.60 54.66 53.82 53.75 53.71 53.66 53.59 53.51 53.31 53.24 53.05 52.45 49.59 47.99 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 7252 EPYC 7232P EPYC 7262 EPYC 7272 EPYC 7352 EPYC 7282 EPYC 7302P EPYC 7532 EPYC 7642 EPYC 7F32 EPYC 7402P EPYC 7552 EPYC 7662 EPYC 7452 EPYC 7502P EPYC 7502 EPYC 7702 EPYC 7542 EPYC 7F72 EPYC 7F52 13 26 39 52 65 Min: 64.18 / Avg: 64.23 / Max: 64.32 Min: 63.19 / Avg: 63.21 / Max: 63.22 Min: 59.95 / Avg: 60.37 / Max: 60.88 Min: 59.1 / Avg: 59.55 / Max: 60.39 Min: 57.2 / Avg: 57.36 / Max: 57.55 Min: 56.93 / Avg: 56.98 / Max: 57.02 Min: 55.5 / Avg: 55.6 / Max: 55.71 Min: 54.49 / Avg: 54.65 / Max: 54.84 Min: 53.73 / Avg: 53.82 / Max: 53.89 Min: 53.37 / Avg: 53.75 / Max: 54.01 Min: 53.63 / Avg: 53.71 / Max: 53.83 Min: 53.59 / Avg: 53.66 / Max: 53.7 Min: 53.57 / Avg: 53.59 / Max: 53.6 Min: 53.47 / Avg: 53.51 / Max: 53.54 Min: 53.31 / Avg: 53.31 / Max: 53.31 Min: 53.2 / Avg: 53.24 / Max: 53.27 Min: 53 / Avg: 53.05 / Max: 53.13 Min: 52.38 / Avg: 52.45 / Max: 52.56 Min: 49.5 / Avg: 49.58 / Max: 49.74 Min: 47.94 / Avg: 47.99 / Max: 48.03 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 7232P EPYC 7252 EPYC 7352 EPYC 7272 EPYC 7282 EPYC 7662 EPYC 7532 EPYC 7552 EPYC 7302P EPYC 7642 EPYC 7502P EPYC 7702 EPYC 7452 EPYC 7502 EPYC 7402P EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 0.725 1.45 2.175 2.9 3.625 SE +/- 0.016890, N = 3 SE +/- 0.016878, N = 3 SE +/- 0.001591, N = 3 SE +/- 0.002712, N = 3 SE +/- 0.003332, N = 3 SE +/- 0.024969, N = 3 SE +/- 0.000645, N = 3 SE +/- 0.002139, N = 3 SE +/- 0.004096, N = 3 SE +/- 0.003031, N = 3 SE +/- 0.001660, N = 3 SE +/- 0.002876, N = 3 SE +/- 0.002802, N = 3 SE +/- 0.003620, N = 3 SE +/- 0.000361, N = 3 SE +/- 0.005671, N = 3 SE +/- 0.001339, N = 3 SE +/- 0.007796, N = 3 SE +/- 0.002402, N = 3 SE +/- 0.000813, N = 3 3.222167 2.996117 2.980562 2.962278 2.936601 2.879442 2.853650 2.847956 2.844541 2.842580 2.826791 2.812404 2.802675 2.802039 2.801377 2.787508 2.758205 2.570908 2.440883 2.414850 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 7232P EPYC 7252 EPYC 7352 EPYC 7272 EPYC 7282 EPYC 7662 EPYC 7532 EPYC 7552 EPYC 7302P EPYC 7642 EPYC 7502P EPYC 7702 EPYC 7452 EPYC 7502 EPYC 7402P EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 2 4 6 8 10 Min: 3.19 / Avg: 3.22 / Max: 3.25 Min: 2.97 / Avg: 3 / Max: 3.03 Min: 2.98 / Avg: 2.98 / Max: 2.98 Min: 2.96 / Avg: 2.96 / Max: 2.97 Min: 2.93 / Avg: 2.94 / Max: 2.94 Min: 2.85 / Avg: 2.88 / Max: 2.93 Min: 2.85 / Avg: 2.85 / Max: 2.85 Min: 2.85 / Avg: 2.85 / Max: 2.85 Min: 2.84 / Avg: 2.84 / Max: 2.85 Min: 2.84 / Avg: 2.84 / Max: 2.85 Min: 2.82 / Avg: 2.83 / Max: 2.83 Min: 2.81 / Avg: 2.81 / Max: 2.82 Min: 2.8 / Avg: 2.8 / Max: 2.81 Min: 2.79 / Avg: 2.8 / Max: 2.81 Min: 2.8 / Avg: 2.8 / Max: 2.8 Min: 2.78 / Avg: 2.79 / Max: 2.8 Min: 2.76 / Avg: 2.76 / Max: 2.76 Min: 2.56 / Avg: 2.57 / Max: 2.59 Min: 2.44 / Avg: 2.44 / Max: 2.44 Min: 2.41 / Avg: 2.41 / Max: 2.42 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 7262 EPYC 7352 EPYC 7532 EPYC 7552 EPYC 7662 EPYC 7642 EPYC 7702 EPYC 7452 EPYC 7302P EPYC 7402P EPYC 7502P EPYC 7232P EPYC 7502 EPYC 7282 EPYC 7252 EPYC 7272 EPYC 7542 EPYC 7F32 EPYC 7F52 EPYC 7F72 200 400 600 800 1000 1161.30 1107.34 1105.99 1102.07 1100.25 1100.05 1098.03 1080.92 1072.30 1060.62 1053.92 1052.76 1046.72 1043.83 1043.71 1042.95 1038.02 945.92 906.52 870.72
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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7352 EPYC 7282 EPYC 7642 EPYC 7302P EPYC 7532 EPYC 7402P EPYC 7662 EPYC 7702 EPYC 7452 EPYC 7552 EPYC 7502 EPYC 7F32 EPYC 7502P EPYC 7542 EPYC 7F72 EPYC 7F52 300K 600K 900K 1200K 1500K SE +/- 814.64, N = 3 SE +/- 911.67, N = 3 SE +/- 847.00, N = 3 SE +/- 2878.39, N = 3 SE +/- 1041.29, N = 3 SE +/- 530.40, N = 3 SE +/- 1742.78, N = 3 SE +/- 1307.15, N = 3 SE +/- 1365.15, N = 3 SE +/- 1128.81, N = 3 SE +/- 1410.52, N = 3 SE +/- 1031.15, N = 3 SE +/- 1318.45, N = 3 SE +/- 1810.72, N = 3 SE +/- 1795.11, N = 3 SE +/- 3199.10, N = 3 SE +/- 1514.83, N = 3 SE +/- 1437.35, N = 3 SE +/- 902.43, N = 3 SE +/- 1967.95, N = 3 1059281.8 1073228.3 1129441.6 1145963.1 1175677.7 1183988.8 1190017.2 1210116.8 1259260.4 1270159.2 1274188.2 1278094.7 1279481.9 1280484.3 1289797.0 1291467.3 1296390.3 1307825.7 1401814.5 1410677.5
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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7352 EPYC 7282 EPYC 7642 EPYC 7302P EPYC 7532 EPYC 7402P EPYC 7662 EPYC 7702 EPYC 7452 EPYC 7552 EPYC 7502 EPYC 7F32 EPYC 7502P EPYC 7542 EPYC 7F72 EPYC 7F52 200K 400K 600K 800K 1000K Min: 1057657.4 / Avg: 1059281.83 / Max: 1060202.8 Min: 1072178.8 / Avg: 1073228.3 / Max: 1075044.3 Min: 1127792.3 / Avg: 1129441.57 / Max: 1130601.1 Min: 1142348.1 / Avg: 1145963.13 / Max: 1151650.6 Min: 1173832.4 / Avg: 1175677.7 / Max: 1177436.4 Min: 1182962.1 / Avg: 1183988.77 / Max: 1184733.3 Min: 1186907.2 / Avg: 1190017.17 / Max: 1192935.2 Min: 1207654.4 / Avg: 1210116.8 / Max: 1212108.5 Min: 1256647.8 / Avg: 1259260.37 / Max: 1261253.5 Min: 1268537.9 / Avg: 1270159.17 / Max: 1272330.4 Min: 1271782.9 / Avg: 1274188.2 / Max: 1276667.4 Min: 1276351.8 / Avg: 1278094.67 / Max: 1279920.9 Min: 1277352.9 / Avg: 1279481.93 / Max: 1281893.8 Min: 1277193.7 / Avg: 1280484.33 / Max: 1283439.2 Min: 1286617.4 / Avg: 1289796.97 / Max: 1292830.7 Min: 1285072.9 / Avg: 1291467.3 / Max: 1294855.3 Min: 1294128.4 / Avg: 1296390.27 / Max: 1299266.8 Min: 1306196.3 / Avg: 1307825.67 / Max: 1310691.4 Min: 1400169.2 / Avg: 1401814.5 / Max: 1403279.7 Min: 1407157.4 / Avg: 1410677.47 / Max: 1413962.4
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 7232P EPYC 7252 EPYC 7272 EPYC 7352 EPYC 7282 EPYC 7642 EPYC 7662 EPYC 7532 EPYC 7302P EPYC 7552 EPYC 7702 EPYC 7402P EPYC 7502 EPYC 7452 EPYC 7502P EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 2 4 6 8 10 SE +/- 0.008403, N = 3 SE +/- 0.038424, N = 3 SE +/- 0.004122, N = 3 SE +/- 0.005105, N = 3 SE +/- 0.014814, N = 3 SE +/- 0.021564, N = 3 SE +/- 0.002452, N = 3 SE +/- 0.005066, N = 3 SE +/- 0.004193, N = 3 SE +/- 0.000987, N = 3 SE +/- 0.019618, N = 3 SE +/- 0.011697, N = 3 SE +/- 0.001157, N = 3 SE +/- 0.009361, N = 3 SE +/- 0.002525, N = 3 SE +/- 0.020038, N = 3 SE +/- 0.004603, N = 3 SE +/- 0.009253, N = 3 SE +/- 0.013545, N = 3 SE +/- 0.004480, N = 3 6.090507 5.723526 5.673728 5.655470 5.588216 5.411095 5.407218 5.406158 5.390151 5.382421 5.349437 5.318605 5.312421 5.308740 5.303184 5.265369 5.222480 4.956801 4.638079 4.590949 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 7232P EPYC 7252 EPYC 7272 EPYC 7352 EPYC 7282 EPYC 7642 EPYC 7662 EPYC 7532 EPYC 7302P EPYC 7552 EPYC 7702 EPYC 7402P EPYC 7502 EPYC 7452 EPYC 7502P EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 2 4 6 8 10 Min: 6.08 / Avg: 6.09 / Max: 6.11 Min: 5.66 / Avg: 5.72 / Max: 5.79 Min: 5.67 / Avg: 5.67 / Max: 5.68 Min: 5.65 / Avg: 5.66 / Max: 5.66 Min: 5.56 / Avg: 5.59 / Max: 5.62 Min: 5.39 / Avg: 5.41 / Max: 5.45 Min: 5.4 / Avg: 5.41 / Max: 5.41 Min: 5.4 / Avg: 5.41 / Max: 5.42 Min: 5.38 / Avg: 5.39 / Max: 5.39 Min: 5.38 / Avg: 5.38 / Max: 5.38 Min: 5.33 / Avg: 5.35 / Max: 5.39 Min: 5.3 / Avg: 5.32 / Max: 5.34 Min: 5.31 / Avg: 5.31 / Max: 5.31 Min: 5.3 / Avg: 5.31 / Max: 5.33 Min: 5.3 / Avg: 5.3 / Max: 5.31 Min: 5.23 / Avg: 5.27 / Max: 5.29 Min: 5.22 / Avg: 5.22 / Max: 5.23 Min: 4.94 / Avg: 4.96 / Max: 4.97 Min: 4.61 / Avg: 4.64 / Max: 4.66 Min: 4.58 / Avg: 4.59 / Max: 4.6 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7302P EPYC 7F32 EPYC 7352 EPYC 7282 EPYC 7702 EPYC 7532 EPYC 7402P EPYC 7662 EPYC 7452 EPYC 7642 EPYC 7552 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7F52 EPYC 7F72 5 10 15 20 25 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, 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 +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 20.30 20.01 18.93 17.24 16.93 16.89 16.88 16.67 16.52 16.38 16.10 16.05 15.89 15.89 15.77 15.73 15.72 15.56 15.40 15.31 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7302P EPYC 7F32 EPYC 7352 EPYC 7282 EPYC 7702 EPYC 7532 EPYC 7402P EPYC 7662 EPYC 7452 EPYC 7642 EPYC 7552 EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7F52 EPYC 7F72 5 10 15 20 25 Min: 20.28 / Avg: 20.3 / Max: 20.33 Min: 19.99 / Avg: 20.01 / Max: 20.03 Min: 18.9 / Avg: 18.93 / Max: 18.96 Min: 17.2 / Avg: 17.24 / Max: 17.28 Min: 16.87 / Avg: 16.93 / Max: 17 Min: 16.87 / Avg: 16.89 / Max: 16.95 Min: 16.78 / Avg: 16.88 / Max: 16.95 Min: 16.65 / Avg: 16.66 / Max: 16.68 Min: 16.49 / Avg: 16.52 / Max: 16.55 Min: 16.33 / Avg: 16.38 / Max: 16.46 Min: 16.05 / Avg: 16.1 / Max: 16.12 Min: 16.04 / Avg: 16.05 / Max: 16.06 Min: 15.85 / Avg: 15.89 / Max: 15.96 Min: 15.87 / Avg: 15.89 / Max: 15.91 Min: 15.75 / Avg: 15.77 / Max: 15.78 Min: 15.7 / Avg: 15.73 / Max: 15.76 Min: 15.7 / Avg: 15.72 / Max: 15.74 Min: 15.54 / Avg: 15.56 / Max: 15.57 Min: 15.39 / Avg: 15.4 / Max: 15.42 Min: 15.27 / Avg: 15.31 / Max: 15.36 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 7252 EPYC 7232P EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7532 EPYC 7552 EPYC 7402P EPYC 7452 EPYC 7642 EPYC 7662 EPYC 7502P EPYC 7502 EPYC 7F32 EPYC 7702 EPYC 7542 EPYC 7F72 EPYC 7F52 3 6 9 12 15 SE +/- 0.034, N = 3 SE +/- 0.043, N = 3 SE +/- 0.006, N = 3 SE +/- 0.034, N = 3 SE +/- 0.021, N = 3 SE +/- 0.007, N = 3 SE +/- 0.020, N = 3 SE +/- 0.008, N = 3 SE +/- 0.023, N = 3 SE +/- 0.023, N = 3 SE +/- 0.029, N = 3 SE +/- 0.012, N = 3 SE +/- 0.031, N = 3 SE +/- 0.010, N = 3 SE +/- 0.009, N = 3 SE +/- 0.017, N = 3 SE +/- 0.023, N = 3 SE +/- 0.019, N = 3 SE +/- 0.017, N = 3 SE +/- 0.013, N = 3 9.854 9.746 9.270 9.236 8.934 8.894 8.815 8.343 8.286 8.282 8.251 8.232 8.206 8.195 8.174 8.156 8.151 8.053 7.639 7.452 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 7252 EPYC 7232P EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7532 EPYC 7552 EPYC 7402P EPYC 7452 EPYC 7642 EPYC 7662 EPYC 7502P EPYC 7502 EPYC 7F32 EPYC 7702 EPYC 7542 EPYC 7F72 EPYC 7F52 3 6 9 12 15 Min: 9.79 / Avg: 9.85 / Max: 9.89 Min: 9.7 / Avg: 9.75 / Max: 9.83 Min: 9.26 / Avg: 9.27 / Max: 9.28 Min: 9.19 / Avg: 9.24 / Max: 9.3 Min: 8.9 / Avg: 8.93 / Max: 8.98 Min: 8.89 / Avg: 8.89 / Max: 8.91 Min: 8.78 / Avg: 8.81 / Max: 8.84 Min: 8.33 / Avg: 8.34 / Max: 8.36 Min: 8.24 / Avg: 8.29 / Max: 8.31 Min: 8.26 / Avg: 8.28 / Max: 8.33 Min: 8.22 / Avg: 8.25 / Max: 8.31 Min: 8.21 / Avg: 8.23 / Max: 8.25 Min: 8.15 / Avg: 8.21 / Max: 8.26 Min: 8.18 / Avg: 8.2 / Max: 8.21 Min: 8.16 / Avg: 8.17 / Max: 8.19 Min: 8.12 / Avg: 8.16 / Max: 8.18 Min: 8.11 / Avg: 8.15 / Max: 8.18 Min: 8.03 / Avg: 8.05 / Max: 8.09 Min: 7.61 / Avg: 7.64 / Max: 7.66 Min: 7.44 / Avg: 7.45 / Max: 7.48 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 7252 EPYC 7272 EPYC 7232P EPYC 7352 EPYC 7262 EPYC 7282 EPYC 7642 EPYC 7532 EPYC 7552 EPYC 7452 EPYC 7302P EPYC 7402P EPYC 7502 EPYC 7542 EPYC 7662 EPYC 7502P EPYC 7F32 EPYC 7702 EPYC 7F72 EPYC 7F52 8 16 24 32 40 SE +/- 0.28, N = 3 SE +/- 0.26, N = 3 SE +/- 0.35, N = 3 SE +/- 0.06, N = 3 SE +/- 0.11, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.22, N = 3 SE +/- 0.23, N = 3 SE +/- 0.16, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.22, N = 3 SE +/- 0.32, N = 3 SE +/- 0.17, N = 3 SE +/- 0.04, N = 3 SE +/- 0.24, N = 3 SE +/- 0.09, N = 3 SE +/- 0.04, N = 3 SE +/- 0.08, N = 3 27.69 29.00 29.20 30.09 30.29 31.16 31.25 31.34 31.63 32.12 32.18 32.31 32.56 32.68 32.70 32.80 32.86 32.87 35.17 36.57 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 7252 EPYC 7272 EPYC 7232P EPYC 7352 EPYC 7262 EPYC 7282 EPYC 7642 EPYC 7532 EPYC 7552 EPYC 7452 EPYC 7302P EPYC 7402P EPYC 7502 EPYC 7542 EPYC 7662 EPYC 7502P EPYC 7F32 EPYC 7702 EPYC 7F72 EPYC 7F52 8 16 24 32 40 Min: 27.15 / Avg: 27.69 / Max: 28.04 Min: 28.53 / Avg: 29 / Max: 29.41 Min: 28.59 / Avg: 29.2 / Max: 29.79 Min: 29.97 / Avg: 30.09 / Max: 30.17 Min: 30.11 / Avg: 30.29 / Max: 30.49 Min: 31.08 / Avg: 31.16 / Max: 31.2 Min: 31.21 / Avg: 31.25 / Max: 31.31 Min: 30.9 / Avg: 31.34 / Max: 31.56 Min: 31.19 / Avg: 31.63 / Max: 31.98 Min: 31.84 / Avg: 32.12 / Max: 32.39 Min: 32.16 / Avg: 32.18 / Max: 32.19 Min: 32.25 / Avg: 32.31 / Max: 32.38 Min: 32.13 / Avg: 32.56 / Max: 32.84 Min: 32.06 / Avg: 32.68 / Max: 33.09 Min: 32.38 / Avg: 32.7 / Max: 32.95 Min: 32.75 / Avg: 32.8 / Max: 32.88 Min: 32.38 / Avg: 32.86 / Max: 33.16 Min: 32.7 / Avg: 32.87 / Max: 32.97 Min: 35.13 / Avg: 35.17 / Max: 35.25 Min: 36.4 / Avg: 36.57 / Max: 36.67 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 7352 EPYC 7532 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P EPYC 7702 EPYC 7282 EPYC 7642 EPYC 7552 EPYC 7402P EPYC 7452 EPYC 7662 EPYC 7542 EPYC 7302P EPYC 7502 EPYC 7502P EPYC 7F32 EPYC 7F72 EPYC 7F52 1000 2000 3000 4000 5000 SE +/- 41.76, N = 5 SE +/- 37.40, N = 3 SE +/- 61.81, N = 3 SE +/- 27.91, N = 3 SE +/- 41.94, N = 3 SE +/- 59.72, N = 3 SE +/- 56.97, N = 15 SE +/- 17.16, N = 3 SE +/- 62.88, N = 13 SE +/- 46.38, N = 15 SE +/- 26.53, N = 3 SE +/- 63.25, N = 3 SE +/- 39.43, N = 3 SE +/- 62.71, N = 3 SE +/- 28.74, N = 3 SE +/- 18.16, N = 3 SE +/- 22.02, N = 3 SE +/- 46.79, N = 5 SE +/- 42.67, N = 15 SE +/- 47.65, N = 3 3386.62 3451.28 3588.51 3611.31 3667.41 3688.59 3700.30 3726.02 3740.51 3760.37 3868.68 3881.51 3882.01 3917.15 3927.11 3937.80 3971.30 3976.82 4212.78 4470.49 1. (CC) gcc options: -O3 -mavx2
Result Confidence
OpenBenchmarking.org MFLOPS, More Is Better Himeno Benchmark 3.0 Poisson Pressure Solver EPYC 7352 EPYC 7532 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7232P EPYC 7702 EPYC 7282 EPYC 7642 EPYC 7552 EPYC 7402P EPYC 7452 EPYC 7662 EPYC 7542 EPYC 7302P EPYC 7502 EPYC 7502P EPYC 7F32 EPYC 7F72 EPYC 7F52 800 1600 2400 3200 4000 Min: 3300.1 / Avg: 3386.62 / Max: 3537.19 Min: 3381.62 / Avg: 3451.28 / Max: 3509.7 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 Min: 3308.25 / Avg: 3700.3 / Max: 4010.2 Min: 3693 / Avg: 3726.02 / Max: 3750.66 Min: 3086.64 / Avg: 3740.51 / Max: 3933.23 Min: 3248.17 / Avg: 3760.37 / Max: 3959.03 Min: 3834.8 / Avg: 3868.68 / Max: 3920.99 Min: 3763.86 / Avg: 3881.51 / Max: 3980.62 Min: 3818.26 / Avg: 3882.01 / Max: 3954.08 Min: 3799.52 / Avg: 3917.15 / Max: 4013.65 Min: 3869.82 / Avg: 3927.11 / Max: 3959.84 Min: 3901.88 / Avg: 3937.8 / Max: 3960.41 Min: 3927.26 / Avg: 3971.3 / Max: 3993.41 Min: 3868.41 / Avg: 3976.82 / Max: 4100.49 Min: 3740.22 / Avg: 4212.78 / Max: 4364.86 Min: 4412.42 / Avg: 4470.49 / Max: 4564.96 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 7262 EPYC 7252 EPYC 7232P EPYC 7702 EPYC 7F32 EPYC 7662 EPYC 7532 EPYC 7642 EPYC 7552 EPYC 7282 EPYC 7352 EPYC 7F52 EPYC 7452 EPYC 7272 EPYC 7502 EPYC 7502P EPYC 7302P EPYC 7402P EPYC 7542 EPYC 7F72 200 400 600 800 1000 816.12 807.88 796.72 770.65 762.90 755.11 737.06 734.24 725.77 713.90 699.94 699.50 694.08 689.57 686.79 682.90 679.00 672.93 667.86 619.74
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 7262 EPYC 7252 EPYC 7232P EPYC 7302P EPYC 7532 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7352 EPYC 7642 EPYC 7552 EPYC 7502P EPYC 7502 EPYC 7402P EPYC 7662 EPYC 7542 EPYC 7452 EPYC 7282 EPYC 7272 EPYC 7702 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 = 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 = 4 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 0.046 0.044 0.044 0.043 0.042 0.040 0.040 0.039 0.039 0.038 0.038 0.037 0.037 0.037 0.036 0.036 0.036 0.036 0.036 0.035 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 7262 EPYC 7252 EPYC 7232P EPYC 7302P EPYC 7532 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7352 EPYC 7642 EPYC 7552 EPYC 7502P EPYC 7502 EPYC 7402P EPYC 7662 EPYC 7542 EPYC 7452 EPYC 7282 EPYC 7272 EPYC 7702 1 2 3 4 5 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 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 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 7352 EPYC 7532 EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7252 EPYC 7272 EPYC 7232P EPYC 7552 EPYC 7282 EPYC 7302P EPYC 7452 EPYC 7502 EPYC 7402P EPYC 7502P EPYC 7542 EPYC 7262 EPYC 7F72 EPYC 7F52 EPYC 7F32 80 160 240 320 400 SE +/- 2.06, N = 3 SE +/- 0.14, N = 3 SE +/- 4.04, N = 3 SE +/- 1.24, N = 3 SE +/- 1.34, N = 3 SE +/- 0.82, N = 3 SE +/- 1.01, N = 3 SE +/- 0.74, N = 3 SE +/- 1.79, N = 3 SE +/- 0.74, N = 3 SE +/- 0.41, N = 3 SE +/- 1.03, N = 3 SE +/- 0.33, N = 3 SE +/- 0.56, N = 3 SE +/- 1.84, N = 3 SE +/- 0.39, N = 3 SE +/- 1.31, N = 3 SE +/- 0.27, N = 3 SE +/- 0.77, N = 3 SE +/- 0.05, N = 3 355.28 341.63 340.47 340.47 339.74 336.71 335.26 332.86 332.40 332.32 331.74 329.83 329.73 325.88 324.95 322.45 318.66 297.78 280.01 273.03 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 7352 EPYC 7532 EPYC 7662 EPYC 7702 EPYC 7642 EPYC 7252 EPYC 7272 EPYC 7232P EPYC 7552 EPYC 7282 EPYC 7302P EPYC 7452 EPYC 7502 EPYC 7402P EPYC 7502P EPYC 7542 EPYC 7262 EPYC 7F72 EPYC 7F52 EPYC 7F32 60 120 180 240 300 Min: 351.77 / Avg: 355.28 / Max: 358.9 Min: 341.48 / Avg: 341.63 / Max: 341.9 Min: 335.17 / Avg: 340.47 / Max: 348.41 Min: 338.86 / Avg: 340.47 / Max: 342.91 Min: 338.1 / Avg: 339.74 / Max: 342.39 Min: 335.1 / Avg: 336.71 / Max: 337.79 Min: 333.82 / Avg: 335.26 / Max: 337.2 Min: 331.66 / Avg: 332.86 / Max: 334.2 Min: 329.08 / Avg: 332.4 / Max: 335.2 Min: 330.91 / Avg: 332.32 / Max: 333.45 Min: 331.09 / Avg: 331.74 / Max: 332.5 Min: 328.48 / Avg: 329.83 / Max: 331.86 Min: 329.06 / Avg: 329.73 / Max: 330.13 Min: 324.89 / Avg: 325.88 / Max: 326.82 Min: 321.27 / Avg: 324.95 / Max: 326.89 Min: 322.03 / Avg: 322.45 / Max: 323.23 Min: 317.11 / Avg: 318.66 / Max: 321.26 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 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 7252 EPYC 7272 EPYC 7232P EPYC 7352 EPYC 7282 EPYC 7532 EPYC 7302P EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7262 EPYC 7452 EPYC 7402P EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 1200 2400 3600 4800 6000 SE +/- 69.56, N = 5 SE +/- 19.97, N = 4 SE +/- 15.06, N = 4 SE +/- 13.86, N = 4 SE +/- 13.83, N = 4 SE +/- 16.79, N = 4 SE +/- 20.47, N = 4 SE +/- 8.68, N = 4 SE +/- 26.63, N = 4 SE +/- 2.06, N = 4 SE +/- 5.61, N = 4 SE +/- 26.34, N = 4 SE +/- 10.06, N = 4 SE +/- 8.63, N = 4 SE +/- 18.30, N = 4 SE +/- 23.46, N = 4 SE +/- 6.71, N = 4 SE +/- 19.39, N = 4 SE +/- 30.31, N = 4 SE +/- 18.72, N = 4 5795 5563 5554 5530 5358 5271 5268 5243 5239 5207 5188 5183 5168 5160 5150 5134 5077 4671 4653 4462
Result Confidence
OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 9.12-MR1 Java Test: Jython EPYC 7252 EPYC 7272 EPYC 7232P EPYC 7352 EPYC 7282 EPYC 7532 EPYC 7302P EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7262 EPYC 7452 EPYC 7402P EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 1000 2000 3000 4000 5000 Min: 5582 / Avg: 5794.8 / Max: 5963 Min: 5507 / Avg: 5563.25 / Max: 5595 Min: 5524 / Avg: 5554.25 / Max: 5594 Min: 5509 / Avg: 5530 / Max: 5570 Min: 5328 / Avg: 5358 / Max: 5382 Min: 5250 / Avg: 5271.25 / Max: 5321 Min: 5226 / Avg: 5268 / Max: 5324 Min: 5228 / Avg: 5243.25 / Max: 5267 Min: 5192 / Avg: 5238.75 / Max: 5315 Min: 5202 / Avg: 5207.25 / Max: 5211 Min: 5179 / Avg: 5187.5 / Max: 5204 Min: 5121 / Avg: 5182.5 / Max: 5243 Min: 5149 / Avg: 5167.75 / Max: 5191 Min: 5139 / Avg: 5159.75 / Max: 5178 Min: 5106 / Avg: 5149.75 / Max: 5190 Min: 5065 / Avg: 5133.5 / Max: 5168 Min: 5063 / Avg: 5076.75 / Max: 5093 Min: 4627 / Avg: 4671 / Max: 4711 Min: 4584 / Avg: 4653.25 / Max: 4730 Min: 4430 / Avg: 4461.75 / Max: 4507
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 7262 EPYC 7252 EPYC 7232P EPYC 7532 EPYC 7302P EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7352 EPYC 7642 EPYC 7452 EPYC 7402P EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7282 EPYC 7502 EPYC 7552 EPYC 7702 EPYC 7542 5K 10K 15K 20K 25K SE +/- 66.93, N = 3 SE +/- 75.31, N = 3 SE +/- 137.01, N = 3 SE +/- 96.86, N = 3 SE +/- 92.58, N = 3 SE +/- 270.77, N = 3 SE +/- 183.28, N = 3 SE +/- 113.70, N = 3 SE +/- 348.84, N = 3 SE +/- 180.38, N = 3 SE +/- 215.55, N = 3 SE +/- 141.59, N = 3 SE +/- 373.32, N = 3 SE +/- 311.13, N = 4 SE +/- 235.87, N = 3 SE +/- 103.25, N = 3 SE +/- 259.85, N = 3 SE +/- 221.45, N = 10 SE +/- 195.08, N = 15 SE +/- 298.28, N = 3 18535 18878 19607 20280 20705 21045 21127 21290 21306 22639 22692 22743 22863 23097 23150 23230 23270 23450 23480 23973 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 7262 EPYC 7252 EPYC 7232P EPYC 7532 EPYC 7302P EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7352 EPYC 7642 EPYC 7452 EPYC 7402P EPYC 7272 EPYC 7662 EPYC 7502P EPYC 7282 EPYC 7502 EPYC 7552 EPYC 7702 EPYC 7542 4K 8K 12K 16K 20K 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 Min: 20177.79 / Avg: 20280.37 / Max: 20473.98 Min: 20538.04 / Avg: 20704.74 / Max: 20857.89 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: 20657.44 / Avg: 21306.03 / Max: 21852.97 Min: 22278.71 / Avg: 22639.45 / Max: 22823.9 Min: 22374.23 / Avg: 22691.94 / Max: 23103.15 Min: 22481.63 / Avg: 22742.66 / Max: 22968.25 Min: 22130.03 / Avg: 22863.19 / Max: 23352.09 Min: 22465.14 / Avg: 23097.1 / Max: 23890.97 Min: 22682.59 / Avg: 23150.17 / Max: 23438.09 Min: 23038.03 / Avg: 23230.17 / Max: 23391.76 Min: 22857.29 / Avg: 23269.7 / Max: 23749.77 Min: 22549.87 / Avg: 23450.11 / Max: 24645.45 Min: 22482.8 / Avg: 23479.62 / Max: 24923.3 Min: 23414.19 / Avg: 23973.07 / Max: 24433.21 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 7262 EPYC 7252 EPYC 7232P EPYC 7302P EPYC 7532 EPYC 7F72 EPYC 7F52 EPYC 7352 EPYC 7F32 EPYC 7642 EPYC 7552 EPYC 7402P EPYC 7502P EPYC 7542 EPYC 7502 EPYC 7272 EPYC 7662 EPYC 7452 EPYC 7282 EPYC 7702 6K 12K 18K 24K 30K SE +/- 33.02, N = 3 SE +/- 169.29, N = 3 SE +/- 121.60, N = 3 SE +/- 98.18, N = 3 SE +/- 151.40, N = 3 SE +/- 83.49, N = 3 SE +/- 285.78, N = 3 SE +/- 230.00, N = 3 SE +/- 131.48, N = 3 SE +/- 239.87, N = 3 SE +/- 286.26, N = 3 SE +/- 314.26, N = 3 SE +/- 237.04, N = 3 SE +/- 350.21, N = 4 SE +/- 152.92, N = 3 SE +/- 213.38, N = 3 SE +/- 291.09, N = 3 SE +/- 244.15, N = 3 SE +/- 38.55, N = 3 SE +/- 331.01, N = 3 21829 22534 22727 23451 24032 25032 25249 25430 25644 26337 26679 27089 27309 27450 27460 27558 27597 28092 28158 28221 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 7262 EPYC 7252 EPYC 7232P EPYC 7302P EPYC 7532 EPYC 7F72 EPYC 7F52 EPYC 7352 EPYC 7F32 EPYC 7642 EPYC 7552 EPYC 7402P EPYC 7502P EPYC 7542 EPYC 7502 EPYC 7272 EPYC 7662 EPYC 7452 EPYC 7282 EPYC 7702 5K 10K 15K 20K 25K 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 Min: 23322.1 / Avg: 23450.61 / Max: 23643.44 Min: 23806.11 / Avg: 24031.52 / Max: 24319.31 Min: 24930.7 / Avg: 25031.81 / Max: 25197.44 Min: 24734.57 / Avg: 25249.37 / Max: 25721.82 Min: 25055.95 / Avg: 25429.68 / Max: 25848.82 Min: 25466.37 / Avg: 25644.39 / Max: 25901 Min: 25860.1 / Avg: 26337.19 / Max: 26619.37 Min: 26360.32 / Avg: 26678.72 / Max: 27249.99 Min: 26753.58 / Avg: 27089.36 / Max: 27717.37 Min: 26918.38 / Avg: 27308.99 / Max: 27736.97 Min: 26711.61 / Avg: 27449.98 / Max: 28327.42 Min: 27243.42 / Avg: 27460.47 / Max: 27755.6 Min: 27157.63 / Avg: 27558.06 / Max: 27886.05 Min: 27036.41 / Avg: 27596.92 / Max: 28013.43 Min: 27663.45 / Avg: 28092.27 / Max: 28508.95 Min: 28092.62 / Avg: 28158.38 / Max: 28226.11 Min: 27573.78 / Avg: 28221.33 / Max: 28664.34 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 7232P EPYC 7252 EPYC 7352 EPYC 7272 EPYC 7282 EPYC 7552 EPYC 7662 EPYC 7452 EPYC 7642 EPYC 7532 EPYC 7702 EPYC 7302P EPYC 7502P EPYC 7502 EPYC 7402P EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 3 6 9 12 15 SE +/- 0.113, N = 3 SE +/- 0.087, N = 3 SE +/- 0.065, N = 3 SE +/- 0.067, N = 3 SE +/- 0.057, N = 3 SE +/- 0.110, N = 3 SE +/- 0.138, N = 3 SE +/- 0.044, N = 3 SE +/- 0.041, N = 3 SE +/- 0.051, N = 3 SE +/- 0.051, N = 3 SE +/- 0.045, N = 3 SE +/- 0.036, N = 3 SE +/- 0.038, N = 3 SE +/- 0.039, N = 3 SE +/- 0.001, N = 3 SE +/- 0.041, N = 3 SE +/- 0.011, N = 3 SE +/- 0.036, N = 3 SE +/- 0.095, N = 3 11.376 10.814 10.801 10.689 10.375 10.335 10.326 10.288 10.267 10.263 10.230 10.197 10.157 10.085 10.064 10.039 10.036 9.331 8.928 8.801 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 7232P EPYC 7252 EPYC 7352 EPYC 7272 EPYC 7282 EPYC 7552 EPYC 7662 EPYC 7452 EPYC 7642 EPYC 7532 EPYC 7702 EPYC 7302P EPYC 7502P EPYC 7502 EPYC 7402P EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 3 6 9 12 15 Min: 11.16 / Avg: 11.38 / Max: 11.53 Min: 10.67 / Avg: 10.81 / Max: 10.97 Min: 10.73 / Avg: 10.8 / Max: 10.93 Min: 10.56 / Avg: 10.69 / Max: 10.78 Min: 10.3 / Avg: 10.37 / Max: 10.49 Min: 10.2 / Avg: 10.33 / Max: 10.55 Min: 10.17 / Avg: 10.33 / Max: 10.6 Min: 10.23 / Avg: 10.29 / Max: 10.37 Min: 10.2 / Avg: 10.27 / Max: 10.34 Min: 10.21 / Avg: 10.26 / Max: 10.37 Min: 10.16 / Avg: 10.23 / Max: 10.33 Min: 10.11 / Avg: 10.2 / Max: 10.27 Min: 10.09 / Avg: 10.16 / Max: 10.22 Min: 10.02 / Avg: 10.09 / Max: 10.15 Min: 9.99 / Avg: 10.06 / Max: 10.12 Min: 10.04 / Avg: 10.04 / Max: 10.04 Min: 9.96 / Avg: 10.04 / Max: 10.09 Min: 9.32 / Avg: 9.33 / Max: 9.35 Min: 8.86 / Avg: 8.93 / Max: 8.98 Min: 8.61 / Avg: 8.8 / Max: 8.91 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 7252 EPYC 7232P EPYC 7272 EPYC 7352 EPYC 7262 EPYC 7282 EPYC 7662 EPYC 7532 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7302P EPYC 7452 EPYC 7502 EPYC 7402P EPYC 7502P EPYC 7542 EPYC 7F32 EPYC 7F72 EPYC 7F52 0.5468 1.0936 1.6404 2.1872 2.734 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 +/- 0.01, 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 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 1.88 1.90 1.95 1.95 1.98 2.01 2.02 2.03 2.03 2.03 2.04 2.06 2.07 2.07 2.08 2.08 2.11 2.29 2.30 2.43 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 7252 EPYC 7232P EPYC 7272 EPYC 7352 EPYC 7262 EPYC 7282 EPYC 7662 EPYC 7532 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7302P EPYC 7452 EPYC 7502 EPYC 7402P EPYC 7502P EPYC 7542 EPYC 7F32 EPYC 7F72 EPYC 7F52 2 4 6 8 10 Min: 1.88 / Avg: 1.88 / Max: 1.89 Min: 1.89 / Avg: 1.9 / Max: 1.9 Min: 1.95 / Avg: 1.95 / Max: 1.95 Min: 1.94 / Avg: 1.95 / Max: 1.97 Min: 1.97 / Avg: 1.98 / Max: 1.98 Min: 2.01 / Avg: 2.01 / Max: 2.02 Min: 2.02 / Avg: 2.02 / Max: 2.03 Min: 2.03 / Avg: 2.03 / Max: 2.04 Min: 2.03 / Avg: 2.03 / Max: 2.04 Min: 2.03 / Avg: 2.03 / Max: 2.03 Min: 2.03 / Avg: 2.04 / Max: 2.05 Min: 2.05 / Avg: 2.06 / Max: 2.07 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: 2.07 / Avg: 2.08 / Max: 2.09 Min: 2.1 / Avg: 2.11 / Max: 2.12 Min: 2.28 / Avg: 2.29 / Max: 2.31 Min: 2.3 / Avg: 2.3 / Max: 2.3 Min: 2.42 / Avg: 2.43 / Max: 2.44 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 7232P EPYC 7352 EPYC 7252 EPYC 7272 EPYC 7282 EPYC 7642 EPYC 7662 EPYC 7532 EPYC 7552 EPYC 7302P EPYC 7702 EPYC 7402P EPYC 7502P EPYC 7452 EPYC 7262 EPYC 7502 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 70 140 210 280 350 SE +/- 0.59, N = 3 SE +/- 0.78, N = 3 SE +/- 1.06, N = 3 SE +/- 1.55, N = 3 SE +/- 0.49, N = 3 SE +/- 1.72, N = 3 SE +/- 0.31, N = 3 SE +/- 1.18, N = 3 SE +/- 1.91, N = 3 SE +/- 0.21, N = 3 SE +/- 0.71, N = 3 SE +/- 0.37, N = 3 SE +/- 1.20, N = 3 SE +/- 0.39, N = 3 SE +/- 0.94, N = 3 SE +/- 0.70, N = 3 SE +/- 0.74, N = 3 SE +/- 0.60, N = 3 SE +/- 0.52, N = 3 SE +/- 0.25, N = 3 262.38 285.63 285.87 286.69 290.46 292.04 293.14 294.22 295.56 296.95 299.00 299.52 300.32 301.55 301.92 302.31 304.52 318.42 334.49 338.78
Result Confidence
OpenBenchmarking.org Score, More Is Better Numpy Benchmark EPYC 7232P EPYC 7352 EPYC 7252 EPYC 7272 EPYC 7282 EPYC 7642 EPYC 7662 EPYC 7532 EPYC 7552 EPYC 7302P EPYC 7702 EPYC 7402P EPYC 7502P EPYC 7452 EPYC 7262 EPYC 7502 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 60 120 180 240 300 Min: 261.34 / Avg: 262.38 / Max: 263.38 Min: 284.14 / Avg: 285.63 / Max: 286.75 Min: 284.04 / Avg: 285.87 / Max: 287.7 Min: 283.82 / Avg: 286.69 / Max: 289.14 Min: 289.5 / Avg: 290.46 / Max: 291.13 Min: 288.63 / Avg: 292.04 / Max: 294.16 Min: 292.52 / Avg: 293.14 / Max: 293.46 Min: 292.64 / Avg: 294.22 / Max: 296.53 Min: 293.07 / Avg: 295.56 / Max: 299.32 Min: 296.74 / Avg: 296.95 / Max: 297.36 Min: 297.69 / Avg: 299 / Max: 300.14 Min: 298.99 / Avg: 299.52 / Max: 300.22 Min: 298.01 / Avg: 300.32 / Max: 302.05 Min: 300.83 / Avg: 301.55 / Max: 302.18 Min: 300.3 / Avg: 301.92 / Max: 303.55 Min: 301.26 / Avg: 302.31 / Max: 303.63 Min: 303.14 / Avg: 304.52 / Max: 305.68 Min: 317.22 / Avg: 318.42 / Max: 319.05 Min: 333.83 / Avg: 334.49 / Max: 335.52 Min: 338.28 / Avg: 338.78 / Max: 339.09
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 7252 EPYC 7352 EPYC 7272 EPYC 7702 EPYC 7232P EPYC 7282 EPYC 7642 EPYC 7552 EPYC 7662 EPYC 7532 EPYC 7452 EPYC 7302P EPYC 7502P EPYC 7402P EPYC 7262 EPYC 7502 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 30 60 90 120 150 SE +/- 1.52, N = 3 SE +/- 0.67, N = 3 SE +/- 1.22, N = 7 SE +/- 0.78, N = 3 SE +/- 0.67, N = 3 SE +/- 0.79, N = 3 SE +/- 0.27, N = 3 SE +/- 0.68, N = 3 SE +/- 0.70, N = 3 SE +/- 0.48, N = 3 SE +/- 0.70, N = 3 SE +/- 0.03, N = 3 SE +/- 0.61, N = 3 SE +/- 0.64, N = 3 SE +/- 1.16, N = 6 SE +/- 0.10, N = 3 SE +/- 0.61, N = 3 SE +/- 0.02, N = 3 SE +/- 1.34, N = 3 SE +/- 0.28, N = 3 117.16 112.87 112.75 111.03 109.88 109.74 108.65 107.44 107.25 107.17 106.27 106.23 105.44 105.42 105.10 104.76 104.22 97.84 95.40 90.77 1. (CXX) g++ options: -O2 -lOpenCL
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP HotSpot3D EPYC 7252 EPYC 7352 EPYC 7272 EPYC 7702 EPYC 7232P EPYC 7282 EPYC 7642 EPYC 7552 EPYC 7662 EPYC 7532 EPYC 7452 EPYC 7302P EPYC 7502P EPYC 7402P EPYC 7262 EPYC 7502 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 20 40 60 80 100 Min: 114.36 / Avg: 117.16 / Max: 119.57 Min: 112.12 / Avg: 112.87 / Max: 114.21 Min: 109.7 / Avg: 112.75 / Max: 117.75 Min: 109.9 / Avg: 111.03 / Max: 112.54 Min: 108.53 / Avg: 109.88 / Max: 110.59 Min: 108.16 / Avg: 109.74 / Max: 110.58 Min: 108.37 / Avg: 108.65 / Max: 109.18 Min: 106.6 / Avg: 107.44 / Max: 108.79 Min: 106.3 / Avg: 107.25 / Max: 108.62 Min: 106.36 / Avg: 107.17 / Max: 108.03 Min: 104.87 / Avg: 106.27 / Max: 106.98 Min: 106.17 / Avg: 106.23 / Max: 106.28 Min: 104.66 / Avg: 105.44 / Max: 106.63 Min: 104.56 / Avg: 105.42 / Max: 106.68 Min: 103.25 / Avg: 105.1 / Max: 110.63 Min: 104.62 / Avg: 104.76 / Max: 104.95 Min: 103.43 / Avg: 104.22 / Max: 105.42 Min: 97.81 / Avg: 97.84 / Max: 97.86 Min: 92.75 / Avg: 95.4 / Max: 97.06 Min: 90.42 / Avg: 90.77 / Max: 91.33 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 7352 EPYC 7252 EPYC 7232P EPYC 7282 EPYC 7272 EPYC 7502P EPYC 7532 EPYC 7662 EPYC 7552 EPYC 7302P EPYC 7642 EPYC 7262 EPYC 7502 EPYC 7452 EPYC 7702 EPYC 7402P EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 0.0369 0.0738 0.1107 0.1476 0.1845 SE +/- 0.00270938, N = 3 SE +/- 0.00118082, N = 3 SE +/- 0.00032749, N = 3 SE +/- 0.00034313, N = 3 SE +/- 0.00145393, N = 3 SE +/- 0.00218365, N = 4 SE +/- 0.00052958, N = 3 SE +/- 0.00121073, N = 3 SE +/- 0.00111418, N = 3 SE +/- 0.00074092, N = 3 SE +/- 0.00073159, N = 3 SE +/- 0.00046540, N = 3 SE +/- 0.00097007, N = 3 SE +/- 0.00121635, N = 3 SE +/- 0.00157735, N = 3 SE +/- 0.00092600, N = 3 SE +/- 0.00213584, N = 4 SE +/- 0.00157658, N = 3 SE +/- 0.00090133, N = 3 SE +/- 0.00030324, N = 3 0.16397222 0.15815164 0.15760242 0.15535128 0.15500763 0.15202995 0.15176894 0.15099278 0.15077001 0.15036750 0.15034787 0.14928622 0.14899437 0.14815314 0.14786624 0.14753880 0.14391032 0.13268829 0.13005008 0.12735546
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Perl Benchmarks Test: Pod2html EPYC 7352 EPYC 7252 EPYC 7232P EPYC 7282 EPYC 7272 EPYC 7502P EPYC 7532 EPYC 7662 EPYC 7552 EPYC 7302P EPYC 7642 EPYC 7262 EPYC 7502 EPYC 7452 EPYC 7702 EPYC 7402P EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 1 2 3 4 5 Min: 0.16 / Avg: 0.16 / Max: 0.17 Min: 0.16 / Avg: 0.16 / Max: 0.16 Min: 0.16 / Avg: 0.16 / Max: 0.16 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: 0.16 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: 0.15 / 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: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.14 / 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: 0.13 / Avg: 0.13 / Max: 0.14 Min: 0.13 / Avg: 0.13 / Max: 0.13 Min: 0.13 / Avg: 0.13 / Max: 0.13
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 7232P EPYC 7262 EPYC 7252 EPYC 7272 EPYC 7352 EPYC 7302P EPYC 7642 EPYC 7282 EPYC 7662 EPYC 7532 EPYC 7F32 EPYC 7702 EPYC 7552 EPYC 7402P EPYC 7502 EPYC 7452 EPYC 7542 EPYC 7502P EPYC 7F52 EPYC 7F72 300K 600K 900K 1200K 1500K SE +/- 537.25, N = 3 SE +/- 352.16, N = 3 SE +/- 2137.19, N = 3 SE +/- 974.55, N = 3 SE +/- 837.79, N = 3 SE +/- 713.77, N = 3 SE +/- 2773.38, N = 3 SE +/- 375.00, N = 3 SE +/- 4135.18, N = 3 SE +/- 3188.58, N = 3 SE +/- 476.77, N = 3 SE +/- 4294.50, N = 3 SE +/- 3450.73, N = 3 SE +/- 825.62, N = 3 SE +/- 2477.29, N = 3 SE +/- 3144.17, N = 3 SE +/- 1012.15, N = 3 SE +/- 1691.70, N = 3 SE +/- 2446.24, N = 3 SE +/- 1619.42, N = 3 948381.6 957872.5 970567.6 1049655.9 1058363.8 1068224.4 1072387.8 1082109.0 1083763.6 1085461.2 1089138.1 1094235.6 1104030.2 1116967.3 1121722.0 1128044.2 1146289.6 1149222.6 1179108.0 1220547.1
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 7232P EPYC 7262 EPYC 7252 EPYC 7272 EPYC 7352 EPYC 7302P EPYC 7642 EPYC 7282 EPYC 7662 EPYC 7532 EPYC 7F32 EPYC 7702 EPYC 7552 EPYC 7402P EPYC 7502 EPYC 7452 EPYC 7542 EPYC 7502P EPYC 7F52 EPYC 7F72 200K 400K 600K 800K 1000K Min: 947355.2 / Avg: 948381.6 / Max: 949170.1 Min: 957434.8 / Avg: 957872.47 / Max: 958569.2 Min: 966382.4 / Avg: 970567.57 / Max: 973412.5 Min: 1048319.8 / Avg: 1049655.87 / Max: 1051552.9 Min: 1057216.2 / Avg: 1058363.77 / Max: 1059994.9 Min: 1066800.6 / Avg: 1068224.43 / Max: 1069025.5 Min: 1068479.3 / Avg: 1072387.77 / Max: 1077750.5 Min: 1081359.5 / Avg: 1082109.03 / Max: 1082506.8 Min: 1075660.9 / Avg: 1083763.63 / Max: 1089249.7 Min: 1081877.1 / Avg: 1085461.23 / Max: 1091821.3 Min: 1088610.7 / Avg: 1089138.13 / Max: 1090089.8 Min: 1089020.9 / Avg: 1094235.6 / Max: 1102753.4 Min: 1097478.3 / Avg: 1104030.2 / Max: 1109184.2 Min: 1115818.7 / Avg: 1116967.33 / Max: 1118569 Min: 1116887.2 / Avg: 1121722 / Max: 1125077.2 Min: 1121805.2 / Avg: 1128044.17 / Max: 1131844.7 Min: 1144800.5 / Avg: 1146289.6 / Max: 1148221.7 Min: 1146924 / Avg: 1149222.63 / Max: 1152522 Min: 1174401.6 / Avg: 1179108 / Max: 1182618.6 Min: 1217678.7 / Avg: 1220547.07 / Max: 1223283.9
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 7262 EPYC 7252 EPYC 7232P EPYC 7532 EPYC 7F72 EPYC 7F52 EPYC 7302P EPYC 7F32 EPYC 7352 EPYC 7662 EPYC 7642 EPYC 7452 EPYC 7402P EPYC 7272 EPYC 7702 EPYC 7552 EPYC 7502P EPYC 7502 EPYC 7282 EPYC 7542 0.0122 0.0244 0.0366 0.0488 0.061 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 +/- 0.001, N = 3 SE +/- 0.001, N = 4 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 15 SE +/- 0.000, N = 10 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 0.054 0.053 0.051 0.050 0.048 0.048 0.048 0.047 0.047 0.044 0.044 0.044 0.044 0.044 0.043 0.043 0.043 0.043 0.043 0.042 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 7262 EPYC 7252 EPYC 7232P EPYC 7532 EPYC 7F72 EPYC 7F52 EPYC 7302P EPYC 7F32 EPYC 7352 EPYC 7662 EPYC 7642 EPYC 7452 EPYC 7402P EPYC 7272 EPYC 7702 EPYC 7552 EPYC 7502P EPYC 7502 EPYC 7282 EPYC 7542 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: 0.05 / 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: 0.05 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: 0.05 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: 0.04 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 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 7252 EPYC 7232P EPYC 7352 EPYC 7262 EPYC 7272 EPYC 7532 EPYC 7282 EPYC 7452 EPYC 7402P EPYC 7502 EPYC 7502P EPYC 7302P EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 2 4 6 8 10 SE +/- 0.021, N = 3 SE +/- 0.022, N = 3 SE +/- 0.010, N = 3 SE +/- 0.006, N = 3 SE +/- 0.015, N = 3 SE +/- 0.029, N = 3 SE +/- 0.008, N = 3 SE +/- 0.024, N = 3 SE +/- 0.023, N = 3 SE +/- 0.012, N = 3 SE +/- 0.003, N = 3 SE +/- 0.016, N = 3 SE +/- 0.017, N = 3 SE +/- 0.012, N = 3 SE +/- 0.036, N = 3 SE +/- 0.008, N = 3 6.590 6.584 6.298 6.248 6.121 6.077 6.039 5.974 5.970 5.922 5.915 5.894 5.873 5.694 5.512 5.145 1. (CXX) g++ options: -O3 -fPIC
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.7.3 Encoder Speed: 8 EPYC 7252 EPYC 7232P EPYC 7352 EPYC 7262 EPYC 7272 EPYC 7532 EPYC 7282 EPYC 7452 EPYC 7402P EPYC 7502 EPYC 7502P EPYC 7302P EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 3 6 9 12 15 Min: 6.56 / Avg: 6.59 / Max: 6.63 Min: 6.56 / Avg: 6.58 / Max: 6.63 Min: 6.28 / Avg: 6.3 / Max: 6.32 Min: 6.24 / Avg: 6.25 / Max: 6.26 Min: 6.09 / Avg: 6.12 / Max: 6.15 Min: 6.03 / Avg: 6.08 / Max: 6.13 Min: 6.03 / Avg: 6.04 / Max: 6.06 Min: 5.94 / Avg: 5.97 / Max: 6.02 Min: 5.95 / Avg: 5.97 / Max: 6.02 Min: 5.9 / Avg: 5.92 / Max: 5.94 Min: 5.91 / Avg: 5.91 / Max: 5.92 Min: 5.86 / Avg: 5.89 / Max: 5.91 Min: 5.84 / Avg: 5.87 / Max: 5.9 Min: 5.68 / Avg: 5.69 / Max: 5.72 Min: 5.45 / Avg: 5.51 / Max: 5.57 Min: 5.14 / Avg: 5.15 / Max: 5.16 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 7532 EPYC 7232P EPYC 7272 EPYC 7352 EPYC 7282 EPYC 7252 EPYC 7642 EPYC 7302P EPYC 7662 EPYC 7552 EPYC 7502 EPYC 7402P EPYC 7452 EPYC 7702 EPYC 7502P EPYC 7542 EPYC 7262 EPYC 7F72 EPYC 7F32 EPYC 7F52 140 280 420 560 700 SE +/- 6.57, N = 5 SE +/- 3.15, N = 3 SE +/- 2.58, N = 3 SE +/- 1.70, N = 3 SE +/- 4.78, N = 3 SE +/- 0.82, N = 3 SE +/- 0.97, N = 3 SE +/- 2.24, N = 3 SE +/- 1.27, N = 3 SE +/- 1.97, N = 3 SE +/- 1.28, N = 3 SE +/- 0.69, N = 3 SE +/- 2.27, N = 3 SE +/- 2.23, N = 3 SE +/- 1.68, N = 3 SE +/- 1.77, N = 3 SE +/- 0.90, N = 3 SE +/- 2.20, N = 3 SE +/- 3.78, N = 3 SE +/- 3.29, N = 3 498.78 514.90 518.46 522.61 522.70 524.17 544.37 546.00 547.26 548.14 551.71 552.58 553.03 553.10 554.85 555.91 561.08 610.59 627.38 638.63 1. (CC) gcc options: -lm
Result Confidence
OpenBenchmarking.org Mflops, More Is Better SciMark 2.0 Computational Test: Composite EPYC 7532 EPYC 7232P EPYC 7272 EPYC 7352 EPYC 7282 EPYC 7252 EPYC 7642 EPYC 7302P EPYC 7662 EPYC 7552 EPYC 7502 EPYC 7402P EPYC 7452 EPYC 7702 EPYC 7502P EPYC 7542 EPYC 7262 EPYC 7F72 EPYC 7F32 EPYC 7F52 110 220 330 440 550 Min: 482.34 / Avg: 498.78 / Max: 510.26 Min: 509.41 / Avg: 514.9 / Max: 520.31 Min: 514.52 / Avg: 518.46 / Max: 523.31 Min: 519.72 / Avg: 522.61 / Max: 525.6 Min: 515.19 / Avg: 522.7 / Max: 531.59 Min: 522.79 / Avg: 524.17 / Max: 525.64 Min: 543.29 / Avg: 544.37 / Max: 546.31 Min: 543.31 / Avg: 546 / Max: 550.44 Min: 544.73 / Avg: 547.26 / Max: 548.69 Min: 544.84 / Avg: 548.14 / Max: 551.64 Min: 549.24 / Avg: 551.71 / Max: 553.49 Min: 551.19 / Avg: 552.58 / Max: 553.32 Min: 549.37 / Avg: 553.03 / Max: 557.19 Min: 548.69 / Avg: 553.1 / Max: 555.94 Min: 551.67 / Avg: 554.85 / Max: 557.36 Min: 553.76 / Avg: 555.91 / Max: 559.42 Min: 559.5 / Avg: 561.08 / Max: 562.6 Min: 606.95 / Avg: 610.59 / Max: 614.54 Min: 620.31 / Avg: 627.38 / Max: 633.22 Min: 633.32 / Avg: 638.63 / Max: 644.64 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 7252 EPYC 7232P EPYC 7272 EPYC 7352 EPYC 7262 EPYC 7532 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7282 EPYC 7302P EPYC 7452 EPYC 7502 EPYC 7402P EPYC 7502P EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 8 16 24 32 40 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.14, N = 3 SE +/- 0.09, N = 3 SE +/- 0.05, N = 3 SE +/- 0.10, N = 3 SE +/- 0.07, N = 3 SE +/- 0.04, N = 3 SE +/- 0.16, N = 3 SE +/- 0.04, N = 3 SE +/- 0.10, N = 3 SE +/- 0.14, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.09, N = 3 SE +/- 0.15, N = 3 SE +/- 0.06, N = 3 SE +/- 0.07, N = 3 SE +/- 0.09, N = 3 SE +/- 0.10, N = 3 26.48 26.56 26.78 26.85 26.91 27.50 27.58 27.67 27.84 27.92 27.99 28.08 28.16 28.36 28.43 28.46 28.76 32.06 33.05 33.89 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 7252 EPYC 7232P EPYC 7272 EPYC 7352 EPYC 7262 EPYC 7532 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7282 EPYC 7302P EPYC 7452 EPYC 7502 EPYC 7402P EPYC 7502P EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 7 14 21 28 35 Min: 26.42 / Avg: 26.48 / Max: 26.57 Min: 26.54 / Avg: 26.56 / Max: 26.6 Min: 26.51 / Avg: 26.78 / Max: 26.92 Min: 26.66 / Avg: 26.85 / Max: 26.96 Min: 26.83 / Avg: 26.91 / Max: 26.99 Min: 27.33 / Avg: 27.5 / Max: 27.69 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: 27.8 / Avg: 27.99 / Max: 28.13 Min: 27.82 / Avg: 28.08 / Max: 28.27 Min: 28.11 / Avg: 28.16 / Max: 28.2 Min: 28.35 / Avg: 28.36 / Max: 28.39 Min: 28.25 / Avg: 28.43 / Max: 28.56 Min: 28.3 / Avg: 28.46 / Max: 28.76 Min: 28.64 / Avg: 28.76 / Max: 28.84 Min: 31.92 / Avg: 32.06 / Max: 32.14 Min: 32.88 / Avg: 33.05 / Max: 33.16 Min: 33.74 / Avg: 33.89 / Max: 34.08 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 7252 EPYC 7232P EPYC 7352 EPYC 7262 EPYC 7272 EPYC 7702 EPYC 7532 EPYC 7282 EPYC 7302P EPYC 7552 EPYC 7452 EPYC 7662 EPYC 7642 EPYC 7402P EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 200 400 600 800 1000 SE +/- 0.67, N = 3 SE +/- 1.71, N = 3 SE +/- 3.05, N = 3 SE +/- 1.25, N = 3 SE +/- 2.14, N = 3 SE +/- 3.04, N = 3 SE +/- 3.86, N = 3 SE +/- 1.82, N = 3 SE +/- 1.41, N = 3 SE +/- 1.86, N = 3 SE +/- 2.19, N = 3 SE +/- 0.05, N = 3 SE +/- 0.99, N = 3 SE +/- 0.85, N = 3 SE +/- 2.21, N = 3 SE +/- 2.14, N = 3 SE +/- 2.79, N = 3 SE +/- 0.81, N = 3 SE +/- 2.65, N = 3 SE +/- 1.62, N = 3 838.12 871.81 877.83 885.81 893.05 912.66 915.08 918.81 930.43 938.95 940.24 942.70 945.95 949.99 957.98 959.68 971.19 1020.30 1021.52 1070.51 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 7252 EPYC 7232P EPYC 7352 EPYC 7262 EPYC 7272 EPYC 7702 EPYC 7532 EPYC 7282 EPYC 7302P EPYC 7552 EPYC 7452 EPYC 7662 EPYC 7642 EPYC 7402P EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 200 400 600 800 1000 Min: 837.05 / Avg: 838.12 / Max: 839.34 Min: 869.8 / Avg: 871.81 / Max: 875.21 Min: 873.21 / Avg: 877.83 / Max: 883.6 Min: 884.13 / Avg: 885.81 / Max: 888.26 Min: 888.78 / Avg: 893.05 / Max: 895.41 Min: 907.1 / Avg: 912.66 / Max: 917.55 Min: 908.66 / Avg: 915.08 / Max: 922 Min: 916.37 / Avg: 918.81 / Max: 922.37 Min: 928.27 / Avg: 930.43 / Max: 933.08 Min: 936.51 / Avg: 938.95 / Max: 942.6 Min: 936.37 / Avg: 940.24 / Max: 943.96 Min: 942.6 / Avg: 942.7 / Max: 942.78 Min: 944.15 / Avg: 945.95 / Max: 947.58 Min: 948.99 / Avg: 949.99 / Max: 951.68 Min: 954.44 / Avg: 957.98 / Max: 962.03 Min: 957.34 / Avg: 959.68 / Max: 963.95 Min: 965.61 / Avg: 971.19 / Max: 974.12 Min: 1019.2 / Avg: 1020.3 / Max: 1021.87 Min: 1017.45 / Avg: 1021.52 / Max: 1026.49 Min: 1068.74 / Avg: 1070.51 / Max: 1073.75 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 7252 EPYC 7232P EPYC 7272 EPYC 7352 EPYC 7282 EPYC 7262 EPYC 7662 EPYC 7532 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7302P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7402P EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 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 +/- 0.01, 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 +/- 0.01, 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 2.93 2.96 2.99 3.01 3.08 3.09 3.09 3.12 3.12 3.12 3.12 3.17 3.17 3.18 3.19 3.21 3.25 3.58 3.59 3.74 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 7252 EPYC 7232P EPYC 7272 EPYC 7352 EPYC 7282 EPYC 7262 EPYC 7662 EPYC 7532 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7302P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7402P EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 2 4 6 8 10 Min: 2.92 / Avg: 2.93 / Max: 2.94 Min: 2.95 / Avg: 2.96 / Max: 2.97 Min: 2.98 / Avg: 2.99 / Max: 3 Min: 2.99 / Avg: 3.01 / Max: 3.03 Min: 3.07 / Avg: 3.08 / Max: 3.09 Min: 3.08 / Avg: 3.09 / Max: 3.1 Min: 3.09 / Avg: 3.09 / Max: 3.1 Min: 3.11 / Avg: 3.12 / Max: 3.12 Min: 3.12 / Avg: 3.12 / Max: 3.12 Min: 3.11 / Avg: 3.12 / Max: 3.13 Min: 3.12 / Avg: 3.12 / Max: 3.13 Min: 3.15 / Avg: 3.17 / Max: 3.2 Min: 3.16 / Avg: 3.17 / Max: 3.18 Min: 3.17 / Avg: 3.18 / Max: 3.18 Min: 3.19 / Avg: 3.19 / Max: 3.19 Min: 3.2 / Avg: 3.21 / Max: 3.22 Min: 3.23 / Avg: 3.25 / Max: 3.27 Min: 3.57 / Avg: 3.58 / Max: 3.59 Min: 3.57 / Avg: 3.59 / Max: 3.6 Min: 3.73 / Avg: 3.74 / Max: 3.75 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 7352 EPYC 7532 EPYC 7642 EPYC 7552 EPYC 7662 EPYC 7452 EPYC 7282 EPYC 7702 EPYC 7272 EPYC 7502 EPYC 7502P EPYC 7252 EPYC 7402P EPYC 7232P EPYC 7302P EPYC 7542 EPYC 7262 EPYC 7F72 EPYC 7F52 EPYC 7F32 11 22 33 44 55 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.16, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 48.59 47.57 47.09 46.70 46.49 46.25 46.19 46.18 45.96 45.95 45.95 45.67 45.51 45.49 45.35 45.29 43.45 42.06 39.28 38.06
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Antialias EPYC 7352 EPYC 7532 EPYC 7642 EPYC 7552 EPYC 7662 EPYC 7452 EPYC 7282 EPYC 7702 EPYC 7272 EPYC 7502 EPYC 7502P EPYC 7252 EPYC 7402P EPYC 7232P EPYC 7302P EPYC 7542 EPYC 7262 EPYC 7F72 EPYC 7F52 EPYC 7F32 10 20 30 40 50 Min: 48.5 / Avg: 48.59 / Max: 48.67 Min: 47.51 / Avg: 47.57 / Max: 47.62 Min: 47.08 / Avg: 47.09 / Max: 47.11 Min: 46.69 / Avg: 46.7 / Max: 46.71 Min: 46.42 / Avg: 46.49 / Max: 46.53 Min: 46.23 / Avg: 46.25 / Max: 46.28 Min: 46.18 / Avg: 46.19 / Max: 46.2 Min: 46.1 / Avg: 46.18 / Max: 46.22 Min: 45.89 / Avg: 45.96 / Max: 46 Min: 45.9 / Avg: 45.95 / Max: 46 Min: 45.93 / Avg: 45.95 / Max: 45.97 Min: 45.66 / Avg: 45.67 / Max: 45.7 Min: 45.49 / Avg: 45.51 / Max: 45.52 Min: 45.18 / Avg: 45.49 / Max: 45.7 Min: 45.34 / Avg: 45.35 / Max: 45.38 Min: 45.27 / Avg: 45.29 / Max: 45.3 Min: 43.39 / Avg: 43.45 / Max: 43.49 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
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 7662 EPYC 7352 EPYC 7702 EPYC 7232P EPYC 7642 EPYC 7552 EPYC 7272 EPYC 7252 EPYC 7532 EPYC 7282 EPYC 7452 EPYC 7502P EPYC 7502 EPYC 7302P EPYC 7542 EPYC 7402P EPYC 7262 EPYC 7F72 EPYC 7F32 EPYC 7F52 6000M 12000M 18000M 24000M 30000M SE +/- 295544204.19, N = 3 SE +/- 405179316.78, N = 3 SE +/- 302020444.34, N = 3 SE +/- 403725574.05, N = 3 SE +/- 264303439.24, N = 3 SE +/- 277727800.92, N = 3 SE +/- 252259078.21, N = 3 SE +/- 314647678.30, N = 3 SE +/- 371050761.61, N = 3 SE +/- 262528887.35, N = 3 SE +/- 260349467.99, N = 3 SE +/- 319930671.11, N = 3 SE +/- 382431111.51, N = 3 SE +/- 257688840.28, N = 3 SE +/- 270641509.43, N = 3 SE +/- 221045514.68, N = 3 SE +/- 286988667.50, N = 3 SE +/- 150437988.79, N = 3 SE +/- 162622849.80, N = 3 SE +/- 199580423.82, N = 3 27371988085 27160653682 27156606176 26833773763 26811743887 26784839020 26635457359 26554811142 26413350226 26061132684 25983329425 25935430170 25830214816 25583041011 25579772126 25481171757 25036050319 22522673323 21612938632 21458302092
Result Confidence
OpenBenchmarking.org Nanoseconds/Operation, Fewer Is Better Go Benchmarks Test: build EPYC 7662 EPYC 7352 EPYC 7702 EPYC 7232P EPYC 7642 EPYC 7552 EPYC 7272 EPYC 7252 EPYC 7532 EPYC 7282 EPYC 7452 EPYC 7502P EPYC 7502 EPYC 7302P EPYC 7542 EPYC 7402P EPYC 7262 EPYC 7F72 EPYC 7F32 EPYC 7F52 5000M 10000M 15000M 20000M 25000M Min: 27064599055 / Avg: 27371988084.67 / Max: 27962916082 Min: 26709579111 / Avg: 27160653681.67 / Max: 27969208664 Min: 26813018719 / Avg: 27156606175.67 / Max: 27758643778 Min: 26256594229 / Avg: 26833773762.67 / Max: 27611373608 Min: 26485058463 / Avg: 26811743886.67 / Max: 27334984361 Min: 26458538443 / Avg: 26784839020.33 / Max: 27337276021 Min: 26296989348 / Avg: 26635457358.67 / Max: 27128702910 Min: 26148149868 / Avg: 26554811141.67 / Max: 27174049750 Min: 25992830121 / Avg: 26413350226.33 / Max: 27153146051 Min: 25723985903 / Avg: 26061132683.67 / Max: 26578293633 Min: 25699669989 / Avg: 25983329425 / Max: 26503310607 Min: 25498348340 / Avg: 25935430170.33 / Max: 26558676544 Min: 25402613145 / Avg: 25830214816 / Max: 26593222601 Min: 25289195555 / Avg: 25583041010.67 / Max: 26096640369 Min: 25215434359 / Avg: 25579772125.67 / Max: 26108616612 Min: 25250159824 / Avg: 25481171757 / Max: 25923110678 Min: 24721687629 / Avg: 25036050319 / Max: 25609127757 Min: 22320233608 / Avg: 22522673322.67 / Max: 22816658288 Min: 21386676155 / Avg: 21612938632.33 / Max: 21928412507 Min: 21203679144 / Avg: 21458302092.33 / Max: 21851832278
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 7352 EPYC 7532 EPYC 7642 EPYC 7552 EPYC 7662 EPYC 7452 EPYC 7702 EPYC 7502P EPYC 7502 EPYC 7282 EPYC 7402P EPYC 7272 EPYC 7232P EPYC 7252 EPYC 7542 EPYC 7302P EPYC 7262 EPYC 7F72 EPYC 7F52 EPYC 7F32 9 18 27 36 45 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, 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 +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 39.20 38.65 38.28 37.95 37.67 37.56 37.44 37.25 37.23 37.04 36.79 36.74 36.73 36.72 36.67 36.53 35.03 34.16 31.86 30.76
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Tile Glass EPYC 7352 EPYC 7532 EPYC 7642 EPYC 7552 EPYC 7662 EPYC 7452 EPYC 7702 EPYC 7502P EPYC 7502 EPYC 7282 EPYC 7402P EPYC 7272 EPYC 7232P EPYC 7252 EPYC 7542 EPYC 7302P EPYC 7262 EPYC 7F72 EPYC 7F52 EPYC 7F32 8 16 24 32 40 Min: 39.17 / Avg: 39.2 / Max: 39.22 Min: 38.55 / Avg: 38.65 / Max: 38.73 Min: 38.26 / Avg: 38.28 / Max: 38.32 Min: 37.93 / Avg: 37.94 / Max: 37.96 Min: 37.64 / Avg: 37.67 / Max: 37.7 Min: 37.54 / Avg: 37.56 / Max: 37.59 Min: 37.39 / Avg: 37.44 / Max: 37.51 Min: 37.21 / Avg: 37.25 / Max: 37.31 Min: 37.22 / Avg: 37.23 / Max: 37.25 Min: 37.01 / Avg: 37.04 / Max: 37.1 Min: 36.73 / Avg: 36.79 / Max: 36.85 Min: 36.69 / Avg: 36.74 / Max: 36.84 Min: 36.7 / Avg: 36.73 / Max: 36.75 Min: 36.67 / Avg: 36.72 / Max: 36.76 Min: 36.61 / Avg: 36.67 / Max: 36.71 Min: 36.5 / Avg: 36.53 / Max: 36.56 Min: 35 / Avg: 35.03 / Max: 35.08 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
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 7262 EPYC 7252 EPYC 7232P EPYC 7532 EPYC 7302P EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7352 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7402P EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7282 EPYC 7272 EPYC 7452 0.0126 0.0252 0.0378 0.0504 0.063 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 = 4 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 +/- 0.001, 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 0.056 0.056 0.054 0.052 0.051 0.049 0.049 0.049 0.049 0.046 0.046 0.046 0.046 0.045 0.045 0.045 0.045 0.045 0.045 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: 1000 - Clients: 1 - Mode: Read Only - Average Latency EPYC 7262 EPYC 7252 EPYC 7232P EPYC 7532 EPYC 7302P EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7352 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7402P EPYC 7552 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7282 EPYC 7272 EPYC 7452 1 2 3 4 5 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 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: 0.05 / 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: 0.04 / 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: 0.04 / Avg: 0.04 / Max: 0.05 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 7232P EPYC 7352 EPYC 7272 EPYC 7252 EPYC 7282 EPYC 7532 EPYC 7552 EPYC 7642 EPYC 7302P EPYC 7662 EPYC 7702 EPYC 7262 EPYC 7452 EPYC 7502 EPYC 7402P EPYC 7502P EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 70 140 210 280 350 SE +/- 0.27, N = 3 SE +/- 0.40, N = 3 SE +/- 0.26, N = 3 SE +/- 0.44, N = 3 SE +/- 0.40, N = 3 SE +/- 0.79, N = 3 SE +/- 0.21, N = 3 SE +/- 0.42, N = 3 SE +/- 0.19, N = 3 SE +/- 0.38, N = 3 SE +/- 0.13, N = 3 SE +/- 0.56, N = 3 SE +/- 0.43, N = 3 SE +/- 0.18, N = 3 SE +/- 0.22, N = 3 SE +/- 0.42, N = 3 SE +/- 0.41, N = 3 SE +/- 0.16, N = 3 SE +/- 0.42, N = 3 SE +/- 0.22, N = 3 317.25 303.03 299.48 299.40 295.00 289.39 288.66 287.72 287.70 287.49 285.86 284.19 284.17 283.83 283.80 283.69 280.26 262.15 253.15 250.34 1. (CXX) g++ options: -O2
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better LZMA Compression 256MB File Compression EPYC 7232P EPYC 7352 EPYC 7272 EPYC 7252 EPYC 7282 EPYC 7532 EPYC 7552 EPYC 7642 EPYC 7302P EPYC 7662 EPYC 7702 EPYC 7262 EPYC 7452 EPYC 7502 EPYC 7402P EPYC 7502P EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 60 120 180 240 300 Min: 316.76 / Avg: 317.25 / Max: 317.67 Min: 302.31 / Avg: 303.03 / Max: 303.67 Min: 298.98 / Avg: 299.48 / Max: 299.82 Min: 298.85 / Avg: 299.4 / Max: 300.28 Min: 294.38 / Avg: 295 / Max: 295.76 Min: 287.82 / Avg: 289.39 / Max: 290.18 Min: 288.26 / Avg: 288.66 / Max: 288.94 Min: 286.99 / Avg: 287.72 / Max: 288.45 Min: 287.32 / Avg: 287.7 / Max: 287.89 Min: 287.04 / Avg: 287.49 / Max: 288.24 Min: 285.61 / Avg: 285.86 / Max: 286.04 Min: 283.27 / Avg: 284.18 / Max: 285.21 Min: 283.53 / Avg: 284.17 / Max: 284.98 Min: 283.49 / Avg: 283.83 / Max: 284.12 Min: 283.5 / Avg: 283.8 / Max: 284.24 Min: 283.03 / Avg: 283.69 / Max: 284.46 Min: 279.55 / Avg: 280.26 / Max: 280.97 Min: 261.93 / Avg: 262.15 / Max: 262.47 Min: 252.34 / Avg: 253.15 / Max: 253.74 Min: 250.1 / Avg: 250.34 / Max: 250.78 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 7232P EPYC 7352 EPYC 7252 EPYC 7272 EPYC 7282 EPYC 7532 EPYC 7552 EPYC 7662 EPYC 7642 EPYC 7302P EPYC 7702 EPYC 7502 EPYC 7502P EPYC 7402P EPYC 7452 EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 11 22 33 44 55 SE +/- 0.09, N = 3 SE +/- 0.13, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.12, N = 3 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 SE +/- 0.09, N = 3 SE +/- 0.10, N = 3 SE +/- 0.11, N = 3 SE +/- 0.09, N = 3 SE +/- 0.11, N = 3 SE +/- 0.10, N = 3 SE +/- 0.10, N = 3 SE +/- 0.03, N = 3 SE +/- 0.12, N = 3 SE +/- 0.10, N = 3 SE +/- 0.15, N = 3 SE +/- 0.13, N = 3 SE +/- 0.09, N = 3 46.63 45.77 45.46 45.31 44.85 43.75 43.72 43.72 43.72 43.62 43.09 42.96 42.93 42.86 42.79 42.55 42.37 39.06 37.03 36.89 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 7232P EPYC 7352 EPYC 7252 EPYC 7272 EPYC 7282 EPYC 7532 EPYC 7552 EPYC 7662 EPYC 7642 EPYC 7302P EPYC 7702 EPYC 7502 EPYC 7502P EPYC 7402P EPYC 7452 EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 9 18 27 36 45 Min: 46.45 / Avg: 46.63 / Max: 46.74 Min: 45.52 / Avg: 45.77 / Max: 45.96 Min: 45.42 / Avg: 45.46 / Max: 45.53 Min: 45.17 / Avg: 45.31 / Max: 45.43 Min: 44.68 / Avg: 44.85 / Max: 45.08 Min: 43.71 / Avg: 43.75 / Max: 43.8 Min: 43.59 / Avg: 43.72 / Max: 43.85 Min: 43.54 / Avg: 43.72 / Max: 43.82 Min: 43.51 / Avg: 43.72 / Max: 43.84 Min: 43.4 / Avg: 43.62 / Max: 43.73 Min: 42.93 / Avg: 43.09 / Max: 43.23 Min: 42.75 / Avg: 42.96 / Max: 43.12 Min: 42.82 / Avg: 42.93 / Max: 43.12 Min: 42.72 / Avg: 42.86 / Max: 43.05 Min: 42.72 / Avg: 42.79 / Max: 42.82 Min: 42.38 / Avg: 42.55 / Max: 42.78 Min: 42.17 / Avg: 42.37 / Max: 42.5 Min: 38.76 / Avg: 39.06 / Max: 39.27 Min: 36.86 / Avg: 37.03 / Max: 37.28 Min: 36.78 / Avg: 36.89 / Max: 37.06 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 7262 EPYC 7252 EPYC 7232P EPYC 7532 EPYC 7302P EPYC 7352 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7642 EPYC 7662 EPYC 7402P EPYC 7552 EPYC 7282 EPYC 7272 EPYC 7502P EPYC 7542 EPYC 7502 EPYC 7452 5K 10K 15K 20K 25K SE +/- 42.01, N = 3 SE +/- 129.62, N = 3 SE +/- 205.26, N = 3 SE +/- 184.41, N = 3 SE +/- 162.08, N = 3 SE +/- 259.08, N = 3 SE +/- 285.19, N = 4 SE +/- 40.49, N = 3 SE +/- 93.22, N = 3 SE +/- 206.48, N = 3 SE +/- 89.99, N = 3 SE +/- 103.27, N = 3 SE +/- 118.63, N = 3 SE +/- 348.99, N = 3 SE +/- 89.85, N = 3 SE +/- 27.06, N = 3 SE +/- 159.06, N = 3 SE +/- 176.46, N = 3 SE +/- 262.17, N = 3 SE +/- 379.01, N = 3 17838 18091 18592 19432 19628 20319 20394 20469 20488 21786 21827 21921 21983 22073 22180 22181 22181 22218 22326 22544 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 7262 EPYC 7252 EPYC 7232P EPYC 7532 EPYC 7302P EPYC 7352 EPYC 7F72 EPYC 7F52 EPYC 7F32 EPYC 7702 EPYC 7642 EPYC 7662 EPYC 7402P EPYC 7552 EPYC 7282 EPYC 7272 EPYC 7502P EPYC 7542 EPYC 7502 EPYC 7452 4K 8K 12K 16K 20K 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 Min: 19156.62 / Avg: 19432.42 / Max: 19782.39 Min: 19360.7 / Avg: 19628.5 / Max: 19920.57 Min: 19805.7 / Avg: 20318.57 / Max: 20639.03 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: 21648.3 / Avg: 21827.19 / Max: 21933.74 Min: 21791.82 / Avg: 21920.87 / Max: 22125.05 Min: 21821.23 / Avg: 21983.11 / Max: 22214.27 Min: 21597.21 / Avg: 22073.2 / Max: 22753.29 Min: 22003.76 / Avg: 22179.9 / Max: 22298.85 Min: 22144.29 / Avg: 22180.58 / Max: 22233.5 Min: 21867.11 / Avg: 22181.49 / Max: 22380.89 Min: 21966.52 / Avg: 22218.05 / Max: 22558.21 Min: 21982.24 / Avg: 22326.42 / Max: 22841.08 Min: 21988.7 / Avg: 22543.58 / Max: 23268.26 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 7252 EPYC 7232P EPYC 7352 EPYC 7272 EPYC 7642 EPYC 7282 EPYC 7262 EPYC 7532 EPYC 7702 EPYC 7302P EPYC 7662 EPYC 7552 EPYC 7402P EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7542 EPYC 7F32 EPYC 7F52 EPYC 7F72 4K 8K 12K 16K 20K SE +/- 109.92, N = 3 SE +/- 151.54, N = 3 SE +/- 65.28, N = 3 SE +/- 147.87, N = 3 SE +/- 104.33, N = 3 SE +/- 77.59, N = 3 SE +/- 174.94, N = 3 SE +/- 71.08, N = 3 SE +/- 224.88, N = 3 SE +/- 171.42, N = 6 SE +/- 238.37, N = 3 SE +/- 115.47, N = 3 SE +/- 39.40, N = 3 SE +/- 86.33, N = 3 SE +/- 204.31, N = 3 SE +/- 94.50, N = 3 SE +/- 39.21, N = 3 SE +/- 77.56, N = 3 SE +/- 30.07, N = 3 SE +/- 185.62, N = 8 14138 14210 14443 14445 14496 14608 14633 14709 14749 14751 14945 14955 14979 14985 15020 15060 15187 15791 16017 17858 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 7252 EPYC 7232P EPYC 7352 EPYC 7272 EPYC 7642 EPYC 7282 EPYC 7262 EPYC 7532 EPYC 7702 EPYC 7302P EPYC 7662 EPYC 7552 EPYC 7402P EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7542 EPYC 7F32 EPYC 7F52 EPYC 7F72 3K 6K 9K 12K 15K Min: 13955 / Avg: 14138 / Max: 14335 Min: 13997 / Avg: 14209.67 / Max: 14503 Min: 14319 / Avg: 14443.33 / Max: 14540 Min: 14172 / Avg: 14445 / Max: 14680 Min: 14336 / Avg: 14496 / Max: 14692 Min: 14524 / Avg: 14608 / Max: 14763 Min: 14283 / Avg: 14632.67 / Max: 14818 Min: 14589 / Avg: 14709 / Max: 14835 Min: 14396 / Avg: 14749.33 / Max: 15167 Min: 13908 / Avg: 14751.17 / Max: 15000 Min: 14469 / Avg: 14945 / Max: 15206 Min: 14780 / Avg: 14955 / Max: 15173 Min: 14904 / Avg: 14979.33 / Max: 15037 Min: 14886 / Avg: 14985 / Max: 15157 Min: 14632 / Avg: 15020 / Max: 15325 Min: 14874 / Avg: 15060 / Max: 15182 Min: 15109 / Avg: 15187 / Max: 15233 Min: 15637 / Avg: 15791.33 / Max: 15882 Min: 15963 / Avg: 16016.67 / Max: 16067 Min: 16971 / Avg: 17858.25 / Max: 18417 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 7352 EPYC 7662 EPYC 7282 EPYC 7532 EPYC 7232P EPYC 7552 EPYC 7452 EPYC 7252 EPYC 7502P EPYC 7272 EPYC 7642 EPYC 7302P EPYC 7542 EPYC 7402P EPYC 7502 EPYC 7702 EPYC 7262 EPYC 7F72 EPYC 7F52 EPYC 7F32 9M 18M 27M 36M 45M SE +/- 166454.26, N = 3 SE +/- 198080.38, N = 3 SE +/- 165385.16, N = 3 SE +/- 226742.78, N = 3 SE +/- 252864.20, N = 3 SE +/- 253533.19, N = 3 SE +/- 486609.08, N = 3 SE +/- 130216.74, N = 3 SE +/- 137924.77, N = 3 SE +/- 155536.72, N = 3 SE +/- 229640.42, N = 3 SE +/- 472480.22, N = 3 SE +/- 288205.93, N = 3 SE +/- 226875.87, N = 3 SE +/- 367535.20, N = 3 SE +/- 217072.87, N = 3 SE +/- 436419.16, N = 5 SE +/- 216768.78, N = 3 SE +/- 472119.65, N = 6 SE +/- 290111.25, N = 3 31911088.8 31996287.3 31997433.8 32270334.2 32409435.2 32835766.0 32982666.1 33048937.0 33230145.2 33234938.3 33456314.6 33558264.8 33745274.1 33817633.6 33922674.2 34006118.7 34728740.7 39446298.1 39633515.4 40212653.6
Result Confidence
OpenBenchmarking.org LPS, More Is Better BYTE Unix Benchmark 3.6 Computational Test: Dhrystone 2 EPYC 7352 EPYC 7662 EPYC 7282 EPYC 7532 EPYC 7232P EPYC 7552 EPYC 7452 EPYC 7252 EPYC 7502P EPYC 7272 EPYC 7642 EPYC 7302P EPYC 7542 EPYC 7402P EPYC 7502 EPYC 7702 EPYC 7262 EPYC 7F72 EPYC 7F52 EPYC 7F32 7M 14M 21M 28M 35M Min: 31595288.5 / Avg: 31911088.8 / Max: 32160223.2 Min: 31617582.3 / Avg: 31996287.27 / Max: 32286359.3 Min: 31674127.4 / Avg: 31997433.83 / Max: 32219597.1 Min: 31818496.7 / Avg: 32270334.2 / Max: 32529704.7 Min: 31904966 / Avg: 32409435.17 / Max: 32692557.6 Min: 32393997.8 / Avg: 32835766 / Max: 33272214.2 Min: 32220133 / Avg: 32982666.1 / Max: 33887643.1 Min: 32797065.1 / Avg: 33048936.97 / Max: 33232228.1 Min: 32996788.2 / Avg: 33230145.2 / Max: 33474213.3 Min: 32942651.5 / Avg: 33234938.3 / Max: 33473284.4 Min: 33133629.2 / Avg: 33456314.63 / Max: 33900694 Min: 32668442.4 / Avg: 33558264.8 / Max: 34278629.7 Min: 33232001.3 / Avg: 33745274.07 / Max: 34229069.6 Min: 33580391.9 / Avg: 33817633.6 / Max: 34271225 Min: 33506863.3 / Avg: 33922674.2 / Max: 34655529.5 Min: 33572556.5 / Avg: 34006118.67 / Max: 34242387.5 Min: 33693824.3 / Avg: 34728740.74 / Max: 35856987.7 Min: 39016803.3 / Avg: 39446298.07 / Max: 39712200.1 Min: 37414193 / Avg: 39633515.43 / Max: 40556935 Min: 39688926 / Avg: 40212653.6 / Max: 40690794.2
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 7352 EPYC 7532 EPYC 7552 EPYC 7642 EPYC 7232P EPYC 7272 EPYC 7282 EPYC 7452 EPYC 7252 EPYC 7662 EPYC 7502 EPYC 7502P EPYC 7302P EPYC 7702 EPYC 7402P EPYC 7542 EPYC 7262 EPYC 7F72 EPYC 7F52 EPYC 7F32 3 6 9 12 15 SE +/- 0.021, N = 3 SE +/- 0.031, N = 3 SE +/- 0.029, N = 3 SE +/- 0.022, N = 3 SE +/- 0.021, N = 3 SE +/- 0.038, N = 3 SE +/- 0.021, N = 3 SE +/- 0.031, N = 3 SE +/- 0.016, N = 3 SE +/- 0.034, N = 3 SE +/- 0.019, N = 3 SE +/- 0.032, N = 3 SE +/- 0.045, N = 3 SE +/- 0.032, N = 3 SE +/- 0.027, N = 3 SE +/- 0.023, N = 3 SE +/- 0.012, N = 3 SE +/- 0.015, N = 3 SE +/- 0.034, N = 3 SE +/- 0.013, N = 3 10.820 10.633 10.572 10.505 10.404 10.385 10.384 10.365 10.335 10.310 10.277 10.233 10.160 10.142 10.052 9.983 9.775 9.252 8.706 8.587
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Crop EPYC 7352 EPYC 7532 EPYC 7552 EPYC 7642 EPYC 7232P EPYC 7272 EPYC 7282 EPYC 7452 EPYC 7252 EPYC 7662 EPYC 7502 EPYC 7502P EPYC 7302P EPYC 7702 EPYC 7402P EPYC 7542 EPYC 7262 EPYC 7F72 EPYC 7F52 EPYC 7F32 3 6 9 12 15 Min: 10.78 / Avg: 10.82 / Max: 10.85 Min: 10.59 / Avg: 10.63 / Max: 10.69 Min: 10.53 / Avg: 10.57 / Max: 10.63 Min: 10.46 / Avg: 10.5 / Max: 10.53 Min: 10.36 / Avg: 10.4 / Max: 10.43 Min: 10.31 / Avg: 10.38 / Max: 10.44 Min: 10.35 / Avg: 10.38 / Max: 10.42 Min: 10.31 / Avg: 10.37 / Max: 10.41 Min: 10.32 / Avg: 10.34 / Max: 10.37 Min: 10.26 / Avg: 10.31 / Max: 10.38 Min: 10.25 / Avg: 10.28 / Max: 10.31 Min: 10.18 / Avg: 10.23 / Max: 10.29 Min: 10.1 / Avg: 10.16 / Max: 10.25 Min: 10.09 / Avg: 10.14 / Max: 10.2 Min: 10 / Avg: 10.05 / Max: 10.1 Min: 9.94 / Avg: 9.98 / Max: 10.02 Min: 9.76 / Avg: 9.78 / Max: 9.8 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
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 7252 EPYC 7352 EPYC 7272 EPYC 7232P EPYC 7282 EPYC 7662 EPYC 7642 EPYC 7532 EPYC 7302P EPYC 7552 EPYC 7702 EPYC 7452 EPYC 7502P EPYC 7402P EPYC 7502 EPYC 7262 EPYC 7542 EPYC 7F32 EPYC 7F52 0.4325 0.865 1.2975 1.73 2.1625 SE +/- 0.004, N = 3 SE +/- 0.003, N = 3 SE +/- 0.006, N = 3 SE +/- 0.010, N = 3 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 SE +/- 0.006, N = 3 SE +/- 0.001, N = 3 SE +/- 0.004, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.009, N = 3 SE +/- 0.003, N = 3 SE +/- 0.002, N = 3 SE +/- 0.003, N = 3 SE +/- 0.004, N = 3 SE +/- 0.004, N = 3 SE +/- 0.000, N = 3 SE +/- 0.005, N = 3 SE +/- 0.003, N = 3 1.922 1.901 1.894 1.862 1.854 1.849 1.812 1.802 1.802 1.800 1.799 1.792 1.778 1.776 1.773 1.767 1.748 1.745 1.538 1.528 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 7252 EPYC 7352 EPYC 7272 EPYC 7232P EPYC 7282 EPYC 7662 EPYC 7642 EPYC 7532 EPYC 7302P EPYC 7552 EPYC 7702 EPYC 7452 EPYC 7502P EPYC 7402P EPYC 7502 EPYC 7262 EPYC 7542 EPYC 7F32 EPYC 7F52 2 4 6 8 10 Min: 1.91 / Avg: 1.92 / Max: 1.93 Min: 1.9 / Avg: 1.9 / Max: 1.91 Min: 1.88 / Avg: 1.89 / Max: 1.9 Min: 1.84 / Avg: 1.86 / Max: 1.87 Min: 1.85 / Avg: 1.85 / Max: 1.86 Min: 1.84 / Avg: 1.85 / Max: 1.85 Min: 1.8 / Avg: 1.81 / Max: 1.82 Min: 1.8 / Avg: 1.8 / Max: 1.8 Min: 1.79 / Avg: 1.8 / Max: 1.81 Min: 1.8 / Avg: 1.8 / Max: 1.8 Min: 1.8 / Avg: 1.8 / Max: 1.8 Min: 1.78 / Avg: 1.79 / Max: 1.81 Min: 1.77 / Avg: 1.78 / Max: 1.78 Min: 1.77 / Avg: 1.78 / Max: 1.78 Min: 1.77 / Avg: 1.77 / Max: 1.78 Min: 1.76 / Avg: 1.77 / Max: 1.77 Min: 1.74 / Avg: 1.75 / Max: 1.75 Min: 1.75 / Avg: 1.75 / Max: 1.75 Min: 1.53 / Avg: 1.54 / Max: 1.55 Min: 1.52 / Avg: 1.53 / Max: 1.53 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 7252 EPYC 7262 EPYC 7662 EPYC 7552 EPYC 7352 EPYC 7642 EPYC 7272 EPYC 7232P EPYC 7502 EPYC 7502P EPYC 7452 EPYC 7702 EPYC 7532 EPYC 7302P EPYC 7402P EPYC 7282 EPYC 7542 EPYC 7F32 EPYC 7F52 EPYC 7F72 3K 6K 9K 12K 15K SE +/- 50.19, N = 3 SE +/- 104.18, N = 3 SE +/- 78.14, N = 4 SE +/- 189.94, N = 3 SE +/- 112.46, N = 3 SE +/- 170.94, N = 3 SE +/- 56.96, N = 3 SE +/- 56.96, N = 3 SE +/- 56.96, N = 3 SE +/- 115.44, N = 3 SE +/- 155.07, N = 3 SE +/- 102.66, N = 3 SE +/- 60.88, N = 6 SE +/- 163.64, N = 3 SE +/- 190.33, N = 3 SE +/- 63.42, N = 3 SE +/- 63.42, N = 3 SE +/- 73.16, N = 3 SE +/- 75.38, N = 3 SE +/- 80.13, N = 3 12295 12554 12580 12826 12933 12991 13044 13101 13101 13218 13219 13335 13394 13579 13704 13762 13825 14779 15076 15465 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 7252 EPYC 7262 EPYC 7662 EPYC 7552 EPYC 7352 EPYC 7642 EPYC 7272 EPYC 7232P EPYC 7502 EPYC 7502P EPYC 7452 EPYC 7702 EPYC 7532 EPYC 7302P EPYC 7402P EPYC 7282 EPYC 7542 EPYC 7F32 EPYC 7F52 EPYC 7F72 3K 6K 9K 12K 15K Min: 12195.12 / Avg: 12295.49 / Max: 12345.68 Min: 12345.68 / Avg: 12554.04 / Max: 12658.23 Min: 12345.68 / Avg: 12580.09 / Max: 12658.23 Min: 12500 / Avg: 12826.14 / Max: 13157.89 Min: 12820.51 / Avg: 12932.97 / Max: 13157.89 Min: 12820.51 / Avg: 12991.45 / Max: 13333.33 Min: 12987.01 / Avg: 13043.97 / Max: 13157.89 Min: 12987.01 / Avg: 13100.93 / Max: 13157.89 Min: 12987.01 / Avg: 13100.93 / Max: 13157.89 Min: 12987.01 / Avg: 13217.89 / Max: 13333.33 Min: 12987.01 / Avg: 13219.47 / Max: 13513.51 Min: 13157.89 / Avg: 13334.91 / Max: 13513.51 Min: 13333.33 / Avg: 13394.22 / Max: 13698.63 Min: 13333.33 / Avg: 13578.58 / Max: 13888.89 Min: 13513.51 / Avg: 13703.84 / Max: 14084.51 Min: 13698.63 / Avg: 13762.05 / Max: 13888.89 Min: 13698.63 / Avg: 13825.47 / Max: 13888.89 Min: 14705.88 / Avg: 14779.05 / Max: 14925.37 Min: 14925.37 / Avg: 15076.13 / Max: 15151.52 Min: 15384.62 / Avg: 15464.74 / Max: 15625 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 7232P EPYC 7252 EPYC 7352 EPYC 7272 EPYC 7282 EPYC 7532 EPYC 7552 EPYC 7662 EPYC 7642 EPYC 7302P EPYC 7502P EPYC 7702 EPYC 7452 EPYC 7402P EPYC 7502 EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 1.1755 2.351 3.5265 4.702 5.8775 SE +/- 0.007223, N = 3 SE +/- 0.010168, N = 3 SE +/- 0.002824, N = 3 SE +/- 0.016217, N = 3 SE +/- 0.003474, N = 3 SE +/- 0.012064, N = 3 SE +/- 0.002361, N = 3 SE +/- 0.000840, N = 3 SE +/- 0.004061, N = 3 SE +/- 0.002894, N = 3 SE +/- 0.008226, N = 3 SE +/- 0.003424, N = 3 SE +/- 0.004633, N = 3 SE +/- 0.000683, N = 3 SE +/- 0.002829, N = 3 SE +/- 0.008742, N = 3 SE +/- 0.000419, N = 3 SE +/- 0.003840, N = 3 SE +/- 0.011665, N = 3 SE +/- 0.000994, N = 3 5.224225 5.145545 5.143761 5.121093 5.056768 4.928625 4.912686 4.906207 4.900239 4.896866 4.852151 4.850538 4.839403 4.831873 4.826640 4.806707 4.751726 4.394798 4.175056 4.154332 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 7232P EPYC 7252 EPYC 7352 EPYC 7272 EPYC 7282 EPYC 7532 EPYC 7552 EPYC 7662 EPYC 7642 EPYC 7302P EPYC 7502P EPYC 7702 EPYC 7452 EPYC 7402P EPYC 7502 EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 2 4 6 8 10 Min: 5.21 / Avg: 5.22 / Max: 5.23 Min: 5.13 / Avg: 5.15 / Max: 5.16 Min: 5.14 / Avg: 5.14 / Max: 5.15 Min: 5.1 / Avg: 5.12 / Max: 5.15 Min: 5.05 / Avg: 5.06 / Max: 5.06 Min: 4.91 / Avg: 4.93 / Max: 4.95 Min: 4.91 / Avg: 4.91 / Max: 4.92 Min: 4.91 / Avg: 4.91 / Max: 4.91 Min: 4.9 / Avg: 4.9 / Max: 4.91 Min: 4.89 / Avg: 4.9 / Max: 4.9 Min: 4.84 / Avg: 4.85 / Max: 4.87 Min: 4.84 / Avg: 4.85 / Max: 4.86 Min: 4.83 / Avg: 4.84 / Max: 4.85 Min: 4.83 / Avg: 4.83 / Max: 4.83 Min: 4.82 / Avg: 4.83 / Max: 4.83 Min: 4.79 / Avg: 4.81 / Max: 4.82 Min: 4.75 / Avg: 4.75 / Max: 4.75 Min: 4.39 / Avg: 4.39 / Max: 4.4 Min: 4.16 / Avg: 4.18 / Max: 4.2 Min: 4.15 / Avg: 4.15 / Max: 4.16 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 7352 EPYC 7252 EPYC 7282 EPYC 7272 EPYC 7232P EPYC 7642 EPYC 7702 EPYC 7552 EPYC 7302P EPYC 7662 EPYC 7502 EPYC 7452 EPYC 7502P EPYC 7402P EPYC 7532 EPYC 7542 EPYC 7262 EPYC 7F72 EPYC 7F32 EPYC 7F52 11K 22K 33K 44K 55K SE +/- 246.81, N = 3 SE +/- 234.79, N = 3 SE +/- 144.01, N = 3 SE +/- 271.47, N = 3 SE +/- 152.30, N = 3 SE +/- 544.47, N = 3 SE +/- 711.03, N = 3 SE +/- 114.65, N = 3 SE +/- 510.01, N = 3 SE +/- 338.23, N = 3 SE +/- 305.95, N = 3 SE +/- 579.41, N = 4 SE +/- 138.35, N = 3 SE +/- 512.89, N = 3 SE +/- 228.23, N = 3 SE +/- 123.40, N = 3 SE +/- 29.67, N = 3 SE +/- 63.71, N = 3 SE +/- 501.34, N = 3 SE +/- 367.61, N = 3 40791 41567 42168 42331 42474 42921 43161 43205 43313 43441 43470 43678 43784 43788 43804 44914 45232 48606 51110 51156 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 7352 EPYC 7252 EPYC 7282 EPYC 7272 EPYC 7232P EPYC 7642 EPYC 7702 EPYC 7552 EPYC 7302P EPYC 7662 EPYC 7502 EPYC 7452 EPYC 7502P EPYC 7402P EPYC 7532 EPYC 7542 EPYC 7262 EPYC 7F72 EPYC 7F32 EPYC 7F52 9K 18K 27K 36K 45K Min: 40320 / Avg: 40791.33 / Max: 41154 Min: 41198 / Avg: 41567 / Max: 42003 Min: 41880 / Avg: 42167.67 / Max: 42324 Min: 41797 / Avg: 42331 / Max: 42683 Min: 42203 / Avg: 42473.67 / Max: 42730 Min: 42256 / Avg: 42920.67 / Max: 44000 Min: 42186 / Avg: 43161 / Max: 44545 Min: 42985 / Avg: 43205 / Max: 43371 Min: 42679 / Avg: 43313 / Max: 44322 Min: 43033 / Avg: 43440.67 / Max: 44112 Min: 42923 / Avg: 43470 / Max: 43981 Min: 42352 / Avg: 43677.5 / Max: 44983 Min: 43585 / Avg: 43784 / Max: 44050 Min: 42803 / Avg: 43787.67 / Max: 44529 Min: 43491 / Avg: 43803.67 / Max: 44248 Min: 44672 / Avg: 44914.33 / Max: 45076 Min: 45173 / Avg: 45232.33 / Max: 45262 Min: 48531 / Avg: 48606.33 / Max: 48733 Min: 50319 / Avg: 51109.67 / Max: 52039 Min: 50607 / Avg: 51156 / Max: 51854 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 7252 EPYC 7262 EPYC 7232P EPYC 7302P EPYC 7532 EPYC 7352 EPYC 7552 EPYC 7272 EPYC 7F52 EPYC 7F32 EPYC 7642 EPYC 7402P EPYC 7452 EPYC 7662 EPYC 7502 EPYC 7502P EPYC 7702 EPYC 7542 EPYC 7282 EPYC 7F72 0.0734 0.1468 0.2202 0.2936 0.367 SE +/- 0.003, N = 3 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 SE +/- 0.003, N = 3 SE +/- 0.004, N = 6 SE +/- 0.003, N = 3 SE +/- 0.004, N = 3 SE +/- 0.004, N = 4 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 SE +/- 0.004, N = 3 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.005, N = 3 SE +/- 0.002, N = 3 SE +/- 0.004, N = 3 0.326 0.322 0.320 0.301 0.299 0.296 0.285 0.284 0.282 0.281 0.281 0.280 0.279 0.278 0.278 0.275 0.274 0.274 0.274 0.260 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 7252 EPYC 7262 EPYC 7232P EPYC 7302P EPYC 7532 EPYC 7352 EPYC 7552 EPYC 7272 EPYC 7F52 EPYC 7F32 EPYC 7642 EPYC 7402P EPYC 7452 EPYC 7662 EPYC 7502 EPYC 7502P EPYC 7702 EPYC 7542 EPYC 7282 EPYC 7F72 1 2 3 4 5 Min: 0.32 / 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: 0.3 / Avg: 0.3 / Max: 0.31 Min: 0.28 / Avg: 0.3 / Max: 0.31 Min: 0.29 / Avg: 0.3 / Max: 0.3 Min: 0.28 / Avg: 0.29 / Max: 0.29 Min: 0.28 / Avg: 0.28 / Max: 0.3 Min: 0.28 / Avg: 0.28 / Max: 0.28 Min: 0.28 / Avg: 0.28 / Max: 0.28 Min: 0.28 / 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: 0.27 / Avg: 0.28 / Max: 0.28 Min: 0.27 / Avg: 0.28 / Max: 0.29 Min: 0.27 / Avg: 0.27 / Max: 0.28 Min: 0.27 / Avg: 0.27 / Max: 0.28 Min: 0.27 / Avg: 0.27 / Max: 0.28 Min: 0.27 / Avg: 0.27 / Max: 0.28 Min: 0.25 / Avg: 0.26 / Max: 0.27 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 7252 EPYC 7262 EPYC 7232P EPYC 7302P EPYC 7532 EPYC 7352 EPYC 7552 EPYC 7272 EPYC 7F52 EPYC 7642 EPYC 7F32 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7662 EPYC 7502P EPYC 7702 EPYC 7542 EPYC 7282 EPYC 7F72 800 1600 2400 3200 4000 SE +/- 28.19, N = 3 SE +/- 13.03, N = 3 SE +/- 17.06, N = 3 SE +/- 35.16, N = 3 SE +/- 40.17, N = 6 SE +/- 30.14, N = 3 SE +/- 44.26, N = 3 SE +/- 51.99, N = 4 SE +/- 7.81, N = 3 SE +/- 31.77, N = 3 SE +/- 7.61, N = 3 SE +/- 12.12, N = 3 SE +/- 32.57, N = 3 SE +/- 43.27, N = 3 SE +/- 49.87, N = 3 SE +/- 13.96, N = 3 SE +/- 23.47, N = 3 SE +/- 60.62, N = 3 SE +/- 22.27, N = 3 SE +/- 59.00, N = 3 3073 3103 3126 3323 3345 3379 3509 3520 3544 3558 3564 3566 3581 3599 3600 3642 3650 3652 3653 3851 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 7252 EPYC 7262 EPYC 7232P EPYC 7302P EPYC 7532 EPYC 7352 EPYC 7552 EPYC 7272 EPYC 7F52 EPYC 7642 EPYC 7F32 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7662 EPYC 7502P EPYC 7702 EPYC 7542 EPYC 7282 EPYC 7F72 700 1400 2100 2800 3500 Min: 3017.13 / Avg: 3073.27 / Max: 3105.88 Min: 3077.78 / Avg: 3103.27 / Max: 3120.74 Min: 3092.27 / Avg: 3126.06 / Max: 3147.03 Min: 3261.77 / Avg: 3322.6 / Max: 3383.57 Min: 3226 / Avg: 3344.74 / Max: 3521.19 Min: 3327.27 / Avg: 3378.61 / Max: 3431.64 Min: 3461.19 / Avg: 3509.26 / Max: 3597.67 Min: 3377.54 / Avg: 3520.45 / Max: 3610.33 Min: 3530.38 / Avg: 3543.86 / Max: 3557.44 Min: 3499.95 / Avg: 3558.37 / Max: 3609.22 Min: 3550.22 / Avg: 3563.8 / Max: 3576.56 Min: 3542.2 / Avg: 3565.68 / Max: 3582.65 Min: 3520.73 / Avg: 3580.83 / Max: 3632.65 Min: 3513.44 / Avg: 3598.6 / Max: 3654.53 Min: 3548.08 / Avg: 3600.4 / Max: 3700.1 Min: 3622.19 / Avg: 3642.31 / Max: 3669.12 Min: 3603.43 / Avg: 3650.12 / Max: 3677.68 Min: 3562.25 / Avg: 3652.05 / Max: 3767.49 Min: 3608.15 / Avg: 3652.68 / Max: 3675.87 Min: 3737.46 / Avg: 3851.01 / Max: 3935.61 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 7352 EPYC 7642 EPYC 7552 EPYC 7662 EPYC 7532 EPYC 7702 EPYC 7232P EPYC 7252 EPYC 7272 EPYC 7282 EPYC 7502 EPYC 7452 EPYC 7502P EPYC 7302P EPYC 7402P EPYC 7542 EPYC 7262 EPYC 7F72 EPYC 7F52 EPYC 7F32 4 8 12 16 20 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 15.96 15.73 15.67 15.66 15.66 15.60 15.54 15.50 15.35 15.28 15.25 15.25 15.20 15.17 15.13 15.04 14.84 13.65 12.85 12.77
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GIMP 2.10.18 Test: rotate EPYC 7352 EPYC 7642 EPYC 7552 EPYC 7662 EPYC 7532 EPYC 7702 EPYC 7232P EPYC 7252 EPYC 7272 EPYC 7282 EPYC 7502 EPYC 7452 EPYC 7502P EPYC 7302P EPYC 7402P EPYC 7542 EPYC 7262 EPYC 7F72 EPYC 7F52 EPYC 7F32 4 8 12 16 20 Min: 15.86 / Avg: 15.96 / Max: 16.04 Min: 15.66 / Avg: 15.72 / Max: 15.76 Min: 15.61 / Avg: 15.67 / Max: 15.75 Min: 15.6 / Avg: 15.66 / Max: 15.74 Min: 15.63 / Avg: 15.66 / Max: 15.69 Min: 15.54 / Avg: 15.6 / Max: 15.67 Min: 15.43 / Avg: 15.54 / Max: 15.63 Min: 15.39 / Avg: 15.5 / Max: 15.57 Min: 15.31 / Avg: 15.35 / Max: 15.42 Min: 15.24 / Avg: 15.28 / Max: 15.31 Min: 15.16 / Avg: 15.25 / Max: 15.37 Min: 15.23 / Avg: 15.25 / Max: 15.28 Min: 15.16 / Avg: 15.2 / Max: 15.28 Min: 15.05 / Avg: 15.17 / Max: 15.24 Min: 15.12 / Avg: 15.12 / Max: 15.13 Min: 15.02 / Avg: 15.04 / Max: 15.06 Min: 14.8 / Avg: 14.83 / Max: 14.87 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
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 7252 EPYC 7262 EPYC 7232P EPYC 7532 EPYC 7302P EPYC 7352 EPYC 7282 EPYC 7272 EPYC 7502P EPYC 7662 EPYC 7452 EPYC 7F52 EPYC 7642 EPYC 7552 EPYC 7502 EPYC 7702 EPYC 7F32 EPYC 7402P EPYC 7542 EPYC 7F72 700 1400 2100 2800 3500 SE +/- 13.05, N = 3 SE +/- 23.86, N = 3 SE +/- 36.25, N = 3 SE +/- 37.57, N = 3 SE +/- 31.89, N = 3 SE +/- 12.96, N = 3 SE +/- 19.16, N = 3 SE +/- 16.59, N = 3 SE +/- 9.34, N = 3 SE +/- 17.22, N = 3 SE +/- 13.16, N = 3 SE +/- 1.38, N = 3 SE +/- 27.23, N = 3 SE +/- 26.42, N = 3 SE +/- 17.32, N = 3 SE +/- 18.01, N = 3 SE +/- 3.64, N = 3 SE +/- 15.96, N = 3 SE +/- 28.38, N = 3 SE +/- 28.94, N = 3 2482 2498 2568 2673 2680 2717 2745 2757 2835 2845 2850 2852 2859 2872 2877 2877 2891 2914 2935 3103 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 7252 EPYC 7262 EPYC 7232P EPYC 7532 EPYC 7302P EPYC 7352 EPYC 7282 EPYC 7272 EPYC 7502P EPYC 7662 EPYC 7452 EPYC 7F52 EPYC 7642 EPYC 7552 EPYC 7502 EPYC 7702 EPYC 7F32 EPYC 7402P EPYC 7542 EPYC 7F72 500 1000 1500 2000 2500 Min: 2458.31 / Avg: 2481.71 / Max: 2503.41 Min: 2451.18 / Avg: 2497.82 / Max: 2529.91 Min: 2506.37 / Avg: 2568.17 / Max: 2631.9 Min: 2611.35 / Avg: 2672.99 / Max: 2741.03 Min: 2630.77 / Avg: 2680.14 / Max: 2739.79 Min: 2695.19 / Avg: 2717.14 / Max: 2740.04 Min: 2714.71 / Avg: 2744.76 / Max: 2780.38 Min: 2724.8 / Avg: 2756.58 / Max: 2780.72 Min: 2817.49 / Avg: 2835.09 / Max: 2849.31 Min: 2825.52 / Avg: 2845.46 / Max: 2879.74 Min: 2823.33 / Avg: 2849.63 / Max: 2863.69 Min: 2849.66 / Avg: 2851.95 / Max: 2854.42 Min: 2806.49 / Avg: 2859.08 / Max: 2897.62 Min: 2824.25 / Avg: 2872.16 / Max: 2915.42 Min: 2844.57 / Avg: 2877.05 / Max: 2903.7 Min: 2840.72 / Avg: 2876.63 / Max: 2897.01 Min: 2883.86 / Avg: 2891.13 / Max: 2895.01 Min: 2881.99 / Avg: 2913.86 / Max: 2931.47 Min: 2901.28 / Avg: 2935.34 / Max: 2991.69 Min: 3062.29 / Avg: 3103.44 / Max: 3159.28 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 7352 EPYC 7252 EPYC 7232P EPYC 7282 EPYC 7272 EPYC 7662 EPYC 7642 EPYC 7532 EPYC 7302P EPYC 7552 EPYC 7702 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7542 EPYC 7262 EPYC 7F72 EPYC 7F52 EPYC 7F32 8 16 24 32 40 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 +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.06, 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 +/- 0.00, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 34.2 33.4 33.4 33.3 33.3 32.4 32.4 32.4 32.3 32.2 32.0 31.8 31.8 31.7 31.7 31.3 31.3 28.9 27.4 27.4
Result Confidence
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: json_loads EPYC 7352 EPYC 7252 EPYC 7232P EPYC 7282 EPYC 7272 EPYC 7662 EPYC 7642 EPYC 7532 EPYC 7302P EPYC 7552 EPYC 7702 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7542 EPYC 7262 EPYC 7F72 EPYC 7F52 EPYC 7F32 7 14 21 28 35 Min: 34.2 / Avg: 34.23 / Max: 34.3 Min: 33.4 / Avg: 33.43 / Max: 33.5 Min: 33.3 / Avg: 33.37 / Max: 33.4 Min: 33.2 / Avg: 33.27 / Max: 33.3 Min: 33.3 / Avg: 33.33 / Max: 33.4 Min: 32.4 / Avg: 32.4 / Max: 32.4 Min: 32.4 / Avg: 32.43 / Max: 32.5 Min: 32.3 / Avg: 32.37 / Max: 32.4 Min: 32.3 / Avg: 32.33 / Max: 32.4 Min: 32.2 / Avg: 32.2 / Max: 32.2 Min: 31.9 / Avg: 32 / Max: 32.1 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: 31.3 / Avg: 31.33 / Max: 31.4 Min: 31.3 / Avg: 31.33 / Max: 31.4 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
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 7352 EPYC 7252 EPYC 7272 EPYC 7282 EPYC 7232P EPYC 7532 EPYC 7552 EPYC 7662 EPYC 7642 EPYC 7302P EPYC 7702 EPYC 7452 EPYC 7502P EPYC 7402P EPYC 7502 EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 0.884 1.768 2.652 3.536 4.42 SE +/- 0.067, N = 3 SE +/- 0.062, N = 3 SE +/- 0.063, N = 3 SE +/- 0.053, N = 4 SE +/- 0.052, N = 4 SE +/- 0.063, N = 3 SE +/- 0.059, N = 3 SE +/- 0.051, N = 4 SE +/- 0.050, N = 5 SE +/- 0.050, N = 4 SE +/- 0.063, N = 3 SE +/- 0.058, N = 3 SE +/- 0.053, N = 4 SE +/- 0.052, N = 4 SE +/- 0.053, N = 4 SE +/- 0.049, N = 4 SE +/- 0.049, N = 4 SE +/- 0.040, N = 5 SE +/- 0.040, N = 5 SE +/- 0.039, N = 5 3.929 3.866 3.862 3.836 3.836 3.755 3.745 3.724 3.722 3.710 3.708 3.702 3.677 3.664 3.662 3.636 3.628 3.319 3.160 3.149
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better System GZIP Decompression EPYC 7352 EPYC 7252 EPYC 7272 EPYC 7282 EPYC 7232P EPYC 7532 EPYC 7552 EPYC 7662 EPYC 7642 EPYC 7302P EPYC 7702 EPYC 7452 EPYC 7502P EPYC 7402P EPYC 7502 EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 2 4 6 8 10 Min: 3.85 / Avg: 3.93 / Max: 4.06 Min: 3.8 / Avg: 3.87 / Max: 3.99 Min: 3.79 / Avg: 3.86 / Max: 3.99 Min: 3.77 / Avg: 3.84 / Max: 3.99 Min: 3.77 / Avg: 3.84 / Max: 3.99 Min: 3.68 / Avg: 3.75 / Max: 3.88 Min: 3.68 / Avg: 3.75 / Max: 3.86 Min: 3.66 / Avg: 3.72 / Max: 3.88 Min: 3.66 / Avg: 3.72 / Max: 3.92 Min: 3.66 / Avg: 3.71 / Max: 3.86 Min: 3.64 / Avg: 3.71 / Max: 3.84 Min: 3.61 / Avg: 3.7 / Max: 3.81 Min: 3.61 / Avg: 3.68 / Max: 3.83 Min: 3.6 / Avg: 3.66 / Max: 3.82 Min: 3.6 / Avg: 3.66 / Max: 3.82 Min: 3.58 / Avg: 3.64 / Max: 3.78 Min: 3.57 / Avg: 3.63 / Max: 3.78 Min: 3.28 / Avg: 3.32 / Max: 3.48 Min: 3.1 / Avg: 3.16 / Max: 3.32 Min: 3.1 / Avg: 3.15 / Max: 3.31
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 7252 EPYC 7262 EPYC 7232P EPYC 7532 EPYC 7302P EPYC 7352 EPYC 7282 EPYC 7272 EPYC 7502P EPYC 7F52 EPYC 7662 EPYC 7452 EPYC 7642 EPYC 7702 EPYC 7552 EPYC 7502 EPYC 7F32 EPYC 7402P EPYC 7542 EPYC 7F72 0.0907 0.1814 0.2721 0.3628 0.4535 SE +/- 0.002, N = 3 SE +/- 0.004, N = 3 SE +/- 0.005, N = 3 SE +/- 0.005, N = 3 SE +/- 0.004, N = 3 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 SE +/- 0.003, N = 3 SE +/- 0.002, N = 3 SE +/- 0.003, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.003, N = 3 SE +/- 0.003, N = 3 0.403 0.400 0.390 0.374 0.373 0.368 0.364 0.363 0.353 0.351 0.351 0.351 0.350 0.348 0.348 0.348 0.346 0.343 0.341 0.323 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 7252 EPYC 7262 EPYC 7232P EPYC 7532 EPYC 7302P EPYC 7352 EPYC 7282 EPYC 7272 EPYC 7502P EPYC 7F52 EPYC 7662 EPYC 7452 EPYC 7642 EPYC 7702 EPYC 7552 EPYC 7502 EPYC 7F32 EPYC 7402P EPYC 7542 EPYC 7F72 1 2 3 4 5 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 Min: 0.37 / Avg: 0.37 / Max: 0.38 Min: 0.37 / Avg: 0.37 / Max: 0.38 Min: 0.37 / Avg: 0.37 / Max: 0.37 Min: 0.36 / Avg: 0.36 / Max: 0.37 Min: 0.36 / Avg: 0.36 / Max: 0.37 Min: 0.35 / Avg: 0.35 / Max: 0.36 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: 0.35 / Avg: 0.35 / Max: 0.35 Min: 0.34 / Avg: 0.35 / Max: 0.35 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: 0.33 / Avg: 0.34 / Max: 0.35 Min: 0.32 / Avg: 0.32 / Max: 0.33 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 7352 EPYC 7252 EPYC 7232P EPYC 7272 EPYC 7282 EPYC 7532 EPYC 7642 EPYC 7702 EPYC 7302P EPYC 7552 EPYC 7662 EPYC 7452 EPYC 7402P EPYC 7502 EPYC 7542 EPYC 7502P EPYC 7262 EPYC 7F72 EPYC 7F32 EPYC 7F52 3K 6K 9K 12K 15K SE +/- 26.03, N = 3 SE +/- 101.77, N = 3 SE +/- 44.12, N = 3 SE +/- 11.14, N = 3 SE +/- 57.25, N = 3 SE +/- 16.29, N = 3 SE +/- 14.15, N = 3 SE +/- 101.29, N = 11 SE +/- 24.18, N = 3 SE +/- 61.76, N = 3 SE +/- 12.03, N = 3 SE +/- 17.82, N = 3 SE +/- 16.44, N = 3 SE +/- 19.40, N = 3 SE +/- 99.28, N = 3 SE +/- 20.22, N = 3 SE +/- 45.96, N = 3 SE +/- 12.57, N = 3 SE +/- 23.39, N = 3 SE +/- 91.46, N = 3 10901 10973 11070 11081 11146 11459 11476 11479 11486 11488 11511 11589 11650 11652 11671 11708 11856 12827 13536 13599 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 7352 EPYC 7252 EPYC 7232P EPYC 7272 EPYC 7282 EPYC 7532 EPYC 7642 EPYC 7702 EPYC 7302P EPYC 7552 EPYC 7662 EPYC 7452 EPYC 7402P EPYC 7502 EPYC 7542 EPYC 7502P EPYC 7262 EPYC 7F72 EPYC 7F32 EPYC 7F52 2K 4K 6K 8K 10K Min: 10858 / Avg: 10901.33 / Max: 10948 Min: 10770 / Avg: 10973.33 / Max: 11083 Min: 11001 / Avg: 11069.67 / Max: 11152 Min: 11059 / Avg: 11081 / Max: 11095 Min: 11050 / Avg: 11145.67 / Max: 11248 Min: 11427 / Avg: 11459.33 / Max: 11479 Min: 11452 / Avg: 11476.33 / Max: 11501 Min: 10588 / Avg: 11479.45 / Max: 11738 Min: 11452 / Avg: 11486.33 / Max: 11533 Min: 11390 / Avg: 11487.67 / Max: 11602 Min: 11493 / Avg: 11511.33 / Max: 11534 Min: 11567 / Avg: 11588.67 / Max: 11624 Min: 11625 / Avg: 11650 / Max: 11681 Min: 11623 / Avg: 11652.33 / Max: 11689 Min: 11474 / Avg: 11671 / Max: 11791 Min: 11668 / Avg: 11708.33 / Max: 11731 Min: 11771 / Avg: 11855.67 / Max: 11929 Min: 12803 / Avg: 12827.33 / Max: 12845 Min: 13491 / Avg: 13536.33 / Max: 13569 Min: 13417 / Avg: 13598.67 / Max: 13708 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 7232P EPYC 7252 EPYC 7352 EPYC 7272 EPYC 7532 EPYC 7282 EPYC 7642 EPYC 7662 EPYC 7552 EPYC 7702 EPYC 7302P EPYC 7502 EPYC 7502P EPYC 7452 EPYC 7402P EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F52 EPYC 7F32 400 800 1200 1600 2000 SE +/- 4.09, N = 5 SE +/- 9.93, N = 5 SE +/- 4.60, N = 5 SE +/- 7.81, N = 5 SE +/- 11.71, N = 5 SE +/- 7.02, N = 5 SE +/- 6.49, N = 5 SE +/- 10.78, N = 5 SE +/- 6.15, N = 5 SE +/- 7.96, N = 5 SE +/- 2.12, N = 5 SE +/- 8.18, N = 5 SE +/- 8.93, N = 5 SE +/- 9.80, N = 5 SE +/- 5.82, N = 5 SE +/- 7.90, N = 5 SE +/- 6.83, N = 5 SE +/- 4.09, N = 5 SE +/- 3.83, N = 5 SE +/- 5.86, N = 5 1963.09 1888.05 1887.64 1858.15 1843.43 1840.49 1838.71 1837.63 1827.54 1821.92 1802.11 1796.32 1786.25 1785.43 1780.00 1778.59 1762.01 1643.61 1598.01 1575.17
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better Renaissance 0.10.0 Test: Scala Dotty EPYC 7232P EPYC 7252 EPYC 7352 EPYC 7272 EPYC 7532 EPYC 7282 EPYC 7642 EPYC 7662 EPYC 7552 EPYC 7702 EPYC 7302P EPYC 7502 EPYC 7502P EPYC 7452 EPYC 7402P EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F52 EPYC 7F32 300 600 900 1200 1500 Min: 1949.67 / Avg: 1963.09 / Max: 1972.52 Min: 1872.26 / Avg: 1888.05 / Max: 1924.57 Min: 1875.72 / Avg: 1887.64 / Max: 1899.29 Min: 1843.06 / Avg: 1858.15 / Max: 1881.85 Min: 1814.21 / Avg: 1843.43 / Max: 1871.61 Min: 1821.78 / Avg: 1840.49 / Max: 1861.9 Min: 1823.01 / Avg: 1838.71 / Max: 1861.54 Min: 1806.07 / Avg: 1837.63 / Max: 1863.6 Min: 1810.41 / Avg: 1827.54 / Max: 1846.46 Min: 1806.27 / Avg: 1821.92 / Max: 1850.88 Min: 1794.77 / Avg: 1802.11 / Max: 1807.79 Min: 1777.39 / Avg: 1796.32 / Max: 1818.83 Min: 1767.26 / Avg: 1786.25 / Max: 1808.33 Min: 1761.02 / Avg: 1785.43 / Max: 1812.16 Min: 1771.68 / Avg: 1780 / Max: 1802.96 Min: 1763.98 / Avg: 1778.58 / Max: 1801.84 Min: 1750.8 / Avg: 1762.01 / Max: 1788.05 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
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 7352 EPYC 7272 EPYC 7532 EPYC 7282 EPYC 7642 EPYC 7232P EPYC 7252 EPYC 7552 EPYC 7662 EPYC 7702 EPYC 7302P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7402P EPYC 7542 EPYC 7262 EPYC 7F72 EPYC 7F52 EPYC 7F32 20 40 60 80 100 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.12, N = 3 SE +/- 0.08, N = 3 SE +/- 0.14, N = 3 SE +/- 0.05, N = 3 SE +/- 0.10, N = 3 SE +/- 0.03, N = 3 SE +/- 0.14, N = 3 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 SE +/- 0.01, N = 3 SE +/- 0.08, N = 3 SE +/- 0.18, N = 3 SE +/- 0.03, N = 3 74.53 72.33 72.29 72.09 72.04 72.00 71.91 71.43 71.37 70.56 70.56 70.43 70.40 70.14 69.97 69.10 68.38 64.06 60.83 59.91
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Wavelet Blur EPYC 7352 EPYC 7272 EPYC 7532 EPYC 7282 EPYC 7642 EPYC 7232P EPYC 7252 EPYC 7552 EPYC 7662 EPYC 7702 EPYC 7302P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7402P EPYC 7542 EPYC 7262 EPYC 7F72 EPYC 7F52 EPYC 7F32 14 28 42 56 70 Min: 74.42 / Avg: 74.53 / Max: 74.6 Min: 72.24 / Avg: 72.33 / Max: 72.4 Min: 72.21 / Avg: 72.29 / Max: 72.38 Min: 72.06 / Avg: 72.09 / Max: 72.16 Min: 71.98 / Avg: 72.04 / Max: 72.07 Min: 71.94 / Avg: 72 / Max: 72.06 Min: 71.85 / Avg: 71.91 / Max: 72.03 Min: 71.31 / Avg: 71.43 / Max: 71.67 Min: 71.2 / Avg: 71.37 / Max: 71.46 Min: 70.31 / Avg: 70.56 / Max: 70.8 Min: 70.47 / Avg: 70.56 / Max: 70.62 Min: 70.28 / Avg: 70.43 / Max: 70.62 Min: 70.36 / Avg: 70.4 / Max: 70.47 Min: 69.89 / Avg: 70.14 / Max: 70.38 Min: 69.89 / Avg: 69.97 / Max: 70.06 Min: 68.96 / Avg: 69.1 / Max: 69.25 Min: 68.36 / Avg: 68.38 / Max: 68.4 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
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 7252 EPYC 7232P EPYC 7352 EPYC 7532 EPYC 7262 EPYC 7272 EPYC 7452 EPYC 7282 EPYC 7402P EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7302P EPYC 7F72 EPYC 7F32 EPYC 7F52 2 4 6 8 10 SE +/- 0.032, N = 3 SE +/- 0.016, N = 3 SE +/- 0.024, N = 3 SE +/- 0.017, N = 3 SE +/- 0.011, N = 3 SE +/- 0.014, N = 3 SE +/- 0.023, N = 3 SE +/- 0.009, N = 3 SE +/- 0.020, N = 3 SE +/- 0.017, N = 3 SE +/- 0.017, N = 3 SE +/- 0.014, N = 3 SE +/- 0.008, N = 3 SE +/- 0.020, N = 3 SE +/- 0.011, N = 3 SE +/- 0.004, N = 3 6.258 6.233 6.169 5.940 5.924 5.905 5.846 5.840 5.826 5.820 5.803 5.722 5.715 5.562 5.231 5.031 1. (CXX) g++ options: -O3 -fPIC
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.7.3 Encoder Speed: 10 EPYC 7252 EPYC 7232P EPYC 7352 EPYC 7532 EPYC 7262 EPYC 7272 EPYC 7452 EPYC 7282 EPYC 7402P EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7302P EPYC 7F72 EPYC 7F32 EPYC 7F52 3 6 9 12 15 Min: 6.2 / Avg: 6.26 / Max: 6.31 Min: 6.21 / Avg: 6.23 / Max: 6.26 Min: 6.13 / Avg: 6.17 / Max: 6.21 Min: 5.91 / Avg: 5.94 / Max: 5.97 Min: 5.91 / Avg: 5.92 / Max: 5.95 Min: 5.89 / Avg: 5.91 / Max: 5.93 Min: 5.81 / Avg: 5.85 / Max: 5.89 Min: 5.83 / Avg: 5.84 / Max: 5.86 Min: 5.79 / Avg: 5.83 / Max: 5.85 Min: 5.8 / Avg: 5.82 / Max: 5.85 Min: 5.78 / Avg: 5.8 / Max: 5.84 Min: 5.7 / Avg: 5.72 / Max: 5.75 Min: 5.7 / Avg: 5.72 / Max: 5.73 Min: 5.53 / Avg: 5.56 / Max: 5.6 Min: 5.21 / Avg: 5.23 / Max: 5.25 Min: 5.03 / Avg: 5.03 / Max: 5.04 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 7232P EPYC 7252 EPYC 7272 EPYC 7352 EPYC 7282 EPYC 7302P EPYC 7662 EPYC 7532 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7502P EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 5 10 15 20 25 SE +/- 0.12, N = 3 SE +/- 0.11, N = 3 SE +/- 0.21, N = 3 SE +/- 0.02, N = 3 SE +/- 0.13, N = 3 SE +/- 0.11, N = 3 SE +/- 0.15, N = 3 SE +/- 0.12, N = 3 SE +/- 0.14, N = 3 SE +/- 0.13, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 SE +/- 0.13, N = 3 SE +/- 0.13, N = 3 SE +/- 0.15, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.13, N = 3 SE +/- 0.11, N = 3 22.37 22.17 21.90 21.81 21.72 21.22 21.14 21.08 21.05 21.02 21.01 20.93 20.91 20.82 20.78 20.64 20.60 19.02 18.12 18.00 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 7232P EPYC 7252 EPYC 7272 EPYC 7352 EPYC 7282 EPYC 7302P EPYC 7662 EPYC 7532 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7502P EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 5 10 15 20 25 Min: 22.22 / Avg: 22.37 / Max: 22.61 Min: 21.96 / Avg: 22.17 / Max: 22.31 Min: 21.53 / Avg: 21.9 / Max: 22.27 Min: 21.8 / Avg: 21.81 / Max: 21.84 Min: 21.57 / Avg: 21.72 / Max: 21.97 Min: 20.99 / Avg: 21.22 / Max: 21.35 Min: 20.84 / Avg: 21.14 / Max: 21.35 Min: 20.84 / Avg: 21.08 / Max: 21.24 Min: 20.78 / Avg: 21.05 / Max: 21.2 Min: 20.88 / Avg: 21.02 / Max: 21.28 Min: 20.99 / Avg: 21.01 / Max: 21.04 Min: 20.89 / Avg: 20.92 / Max: 20.96 Min: 20.78 / Avg: 20.91 / Max: 21 Min: 20.55 / Avg: 20.82 / Max: 20.97 Min: 20.52 / Avg: 20.78 / Max: 20.95 Min: 20.34 / Avg: 20.64 / Max: 20.82 Min: 20.54 / Avg: 20.6 / Max: 20.64 Min: 19.01 / Avg: 19.02 / Max: 19.03 Min: 17.87 / Avg: 18.12 / Max: 18.32 Min: 17.78 / Avg: 18 / Max: 18.13 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 7352 EPYC 7252 EPYC 7232P EPYC 7282 EPYC 7272 EPYC 7642 EPYC 7662 EPYC 7532 EPYC 7302P EPYC 7552 EPYC 7702 EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7502P EPYC 7542 EPYC 7262 EPYC 7F72 EPYC 7F52 EPYC 7F32 130 260 390 520 650 SE +/- 0.58, N = 3 SE +/- 0.33, N = 3 SE +/- 0.58, N = 3 SE +/- 1.45, N = 3 SE +/- 1.86, N = 3 SE +/- 1.20, N = 3 SE +/- 0.88, N = 3 SE +/- 1.20, N = 3 SE +/- 1.76, N = 3 SE +/- 1.33, N = 3 SE +/- 0.58, N = 3 SE +/- 1.86, N = 3 SE +/- 1.20, N = 3 SE +/- 2.31, N = 3 SE +/- 1.00, N = 3 SE +/- 0.88, N = 3 SE +/- 0.33, N = 3 585 577 576 575 575 571 561 561 559 558 554 552 552 551 550 544 541 500 474 471
Result Confidence
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: raytrace EPYC 7352 EPYC 7252 EPYC 7232P EPYC 7282 EPYC 7272 EPYC 7642 EPYC 7662 EPYC 7532 EPYC 7302P EPYC 7552 EPYC 7702 EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7502P EPYC 7542 EPYC 7262 EPYC 7F72 EPYC 7F52 EPYC 7F32 100 200 300 400 500 Min: 584 / Avg: 585 / Max: 586 Min: 576 / Avg: 576.67 / Max: 577 Min: 575 / Avg: 576 / Max: 577 Min: 573 / Avg: 575.33 / Max: 578 Min: 571 / Avg: 574.67 / Max: 577 Min: 569 / Avg: 570.67 / Max: 573 Min: 560 / Avg: 561.33 / Max: 563 Min: 557 / Avg: 558.67 / Max: 561 Min: 551 / Avg: 554.33 / Max: 557 Min: 551 / Avg: 552.33 / Max: 555 Min: 551 / Avg: 552 / Max: 553 Min: 549 / Avg: 551.33 / Max: 555 Min: 548 / Avg: 550.33 / Max: 552 Min: 540 / Avg: 544 / Max: 548 Min: 540 / Avg: 541 / Max: 543 Min: 473 / Avg: 474.33 / Max: 476 Min: 471 / Avg: 471.33 / Max: 472
Result
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: pathlib EPYC 7352 EPYC 7232P EPYC 7252 EPYC 7272 EPYC 7282 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7532 EPYC 7302P EPYC 7552 EPYC 7502 EPYC 7452 EPYC 7262 EPYC 7502P EPYC 7542 EPYC 7402P EPYC 7F72 EPYC 7F32 EPYC 7F52 5 10 15 20 25 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 +/- 0.03, 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 +/- 0.03, 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 +/- 0.03, N = 3 21.6 21.6 21.5 21.3 21.2 20.5 20.5 20.5 20.5 20.5 20.3 20.3 20.2 20.2 20.1 20.0 20.0 18.9 17.5 17.4
Result Confidence
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: pathlib EPYC 7352 EPYC 7232P EPYC 7252 EPYC 7272 EPYC 7282 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7532 EPYC 7302P EPYC 7552 EPYC 7502 EPYC 7452 EPYC 7262 EPYC 7502P EPYC 7542 EPYC 7402P EPYC 7F72 EPYC 7F32 EPYC 7F52 5 10 15 20 25 Min: 21.6 / Avg: 21.6 / Max: 21.6 Min: 21.5 / Avg: 21.57 / Max: 21.6 Min: 21.5 / Avg: 21.53 / Max: 21.6 Min: 21.2 / Avg: 21.27 / Max: 21.3 Min: 21.2 / Avg: 21.2 / Max: 21.2 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: 20.5 / 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: 20.3 / Avg: 20.33 / Max: 20.4 Min: 20.2 / Avg: 20.2 / Max: 20.2 Min: 20.1 / Avg: 20.17 / Max: 20.2 Min: 20.1 / Avg: 20.1 / Max: 20.1 Min: 18.9 / Avg: 18.93 / Max: 19 Min: 17.5 / Avg: 17.5 / Max: 17.5 Min: 17.3 / Avg: 17.37 / Max: 17.4
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 7352 EPYC 7252 EPYC 7272 EPYC 7282 EPYC 7232P EPYC 7532 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7302P EPYC 7702 EPYC 7262 EPYC 7452 EPYC 7402P EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 3 6 9 12 15 SE +/- 0.022, N = 3 SE +/- 0.026, N = 3 SE +/- 0.014, N = 3 SE +/- 0.007, N = 3 SE +/- 0.001, N = 3 SE +/- 0.012, N = 3 SE +/- 0.019, N = 3 SE +/- 0.005, N = 3 SE +/- 0.007, N = 3 SE +/- 0.009, N = 3 SE +/- 0.005, N = 3 SE +/- 0.037, N = 3 SE +/- 0.007, N = 3 SE +/- 0.005, N = 3 SE +/- 0.002, N = 3 SE +/- 0.004, N = 3 SE +/- 0.003, N = 3 SE +/- 0.002, N = 3 SE +/- 0.008, N = 3 SE +/- 0.006, N = 3 10.102 10.003 9.964 9.885 9.878 9.633 9.591 9.591 9.589 9.578 9.477 9.449 9.441 9.436 9.435 9.435 9.295 8.552 8.174 8.138 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 7352 EPYC 7252 EPYC 7272 EPYC 7282 EPYC 7232P EPYC 7532 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7302P EPYC 7702 EPYC 7262 EPYC 7452 EPYC 7402P EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 3 6 9 12 15 Min: 10.06 / Avg: 10.1 / Max: 10.13 Min: 9.97 / Avg: 10 / Max: 10.06 Min: 9.95 / Avg: 9.96 / Max: 9.99 Min: 9.88 / Avg: 9.88 / Max: 9.9 Min: 9.88 / Avg: 9.88 / Max: 9.88 Min: 9.61 / Avg: 9.63 / Max: 9.65 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: 9.56 / Avg: 9.58 / Max: 9.59 Min: 9.47 / Avg: 9.48 / Max: 9.48 Min: 9.4 / Avg: 9.45 / Max: 9.52 Min: 9.43 / Avg: 9.44 / Max: 9.45 Min: 9.43 / Avg: 9.44 / Max: 9.45 Min: 9.43 / Avg: 9.43 / Max: 9.44 Min: 9.43 / Avg: 9.44 / Max: 9.44 Min: 9.29 / Avg: 9.3 / Max: 9.3 Min: 8.55 / Avg: 8.55 / Max: 8.56 Min: 8.16 / Avg: 8.17 / Max: 8.19 Min: 8.13 / Avg: 8.14 / Max: 8.15 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 7252 EPYC 7352 EPYC 7232P EPYC 7272 EPYC 7282 EPYC 7532 EPYC 7662 EPYC 7552 EPYC 7642 EPYC 7302P EPYC 7502P EPYC 7702 EPYC 7402P EPYC 7502 EPYC 7452 EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 0.2947 0.5894 0.8841 1.1788 1.4735 SE +/- 0.003378, N = 3 SE +/- 0.000758, N = 3 SE +/- 0.001278, N = 3 SE +/- 0.003246, N = 3 SE +/- 0.003026, N = 3 SE +/- 0.003502, N = 3 SE +/- 0.001818, N = 3 SE +/- 0.003407, N = 3 SE +/- 0.000236, N = 3 SE +/- 0.001157, N = 3 SE +/- 0.000831, N = 3 SE +/- 0.001369, N = 3 SE +/- 0.000237, N = 3 SE +/- 0.000599, N = 3 SE +/- 0.000499, N = 3 SE +/- 0.004902, N = 3 SE +/- 0.000067, N = 3 SE +/- 0.002331, N = 3 SE +/- 0.002177, N = 3 SE +/- 0.000910, N = 3 1.309975 1.305372 1.304260 1.292170 1.284880 1.251942 1.249168 1.248408 1.244588 1.244002 1.242573 1.231897 1.228600 1.227227 1.226732 1.217988 1.207137 1.115877 1.059790 1.055572 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 7252 EPYC 7352 EPYC 7232P EPYC 7272 EPYC 7282 EPYC 7532 EPYC 7662 EPYC 7552 EPYC 7642 EPYC 7302P EPYC 7502P EPYC 7702 EPYC 7402P EPYC 7502 EPYC 7452 EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 2 4 6 8 10 Min: 1.3 / Avg: 1.31 / Max: 1.32 Min: 1.3 / Avg: 1.31 / Max: 1.31 Min: 1.3 / Avg: 1.3 / Max: 1.31 Min: 1.29 / Avg: 1.29 / Max: 1.3 Min: 1.28 / Avg: 1.28 / Max: 1.29 Min: 1.25 / Avg: 1.25 / Max: 1.26 Min: 1.25 / Avg: 1.25 / Max: 1.25 Min: 1.24 / Avg: 1.25 / Max: 1.26 Min: 1.24 / Avg: 1.24 / Max: 1.25 Min: 1.24 / Avg: 1.24 / Max: 1.25 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: 1.23 / Avg: 1.23 / Max: 1.23 Min: 1.21 / Avg: 1.22 / Max: 1.22 Min: 1.21 / Avg: 1.21 / Max: 1.21 Min: 1.11 / Avg: 1.12 / Max: 1.12 Min: 1.06 / Avg: 1.06 / Max: 1.06 Min: 1.05 / Avg: 1.06 / Max: 1.06 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 7352 EPYC 7252 EPYC 7272 EPYC 7282 EPYC 7232P EPYC 7302P EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7532 EPYC 7452 EPYC 7502 EPYC 7402P EPYC 7502P EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 2K 4K 6K 8K 10K SE +/- 10.11, N = 3 SE +/- 14.33, N = 3 SE +/- 19.95, N = 3 SE +/- 17.03, N = 3 SE +/- 12.66, N = 3 SE +/- 45.24, N = 3 SE +/- 42.92, N = 3 SE +/- 3.40, N = 3 SE +/- 10.39, N = 3 SE +/- 4.22, N = 3 SE +/- 6.46, N = 3 SE +/- 8.47, N = 3 SE +/- 5.42, N = 3 SE +/- 16.43, N = 3 SE +/- 2.98, N = 3 SE +/- 16.82, N = 3 SE +/- 8.69, N = 3 SE +/- 3.40, N = 3 SE +/- 8.20, N = 3 SE +/- 14.12, N = 3 6365.7 6408.3 6434.6 6480.9 6485.8 6648.8 6674.8 6679.4 6680.9 6686.3 6689.9 6773.0 6785.7 6787.6 6787.9 6868.2 6880.4 7482.1 7878.3 7899.6 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 7352 EPYC 7252 EPYC 7272 EPYC 7282 EPYC 7232P EPYC 7302P EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7532 EPYC 7452 EPYC 7502 EPYC 7402P EPYC 7502P EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 1400 2800 4200 5600 7000 Min: 6350.8 / Avg: 6365.73 / Max: 6385 Min: 6384 / Avg: 6408.33 / Max: 6433.6 Min: 6412.7 / Avg: 6434.57 / Max: 6474.4 Min: 6450.1 / Avg: 6480.9 / Max: 6508.9 Min: 6460.7 / Avg: 6485.83 / Max: 6501.1 Min: 6558.4 / Avg: 6648.77 / Max: 6697.7 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: 6677.1 / Avg: 6689.87 / Max: 6698 Min: 6757.4 / Avg: 6773.03 / Max: 6786.5 Min: 6778.9 / Avg: 6785.7 / Max: 6796.4 Min: 6754.8 / Avg: 6787.57 / Max: 6806 Min: 6782.5 / Avg: 6787.9 / Max: 6792.8 Min: 6847.8 / Avg: 6868.23 / Max: 6901.6 Min: 6871 / Avg: 6880.43 / Max: 6897.8 Min: 7476.9 / Avg: 7482.1 / Max: 7488.5 Min: 7861.9 / Avg: 7878.3 / Max: 7886.5 Min: 7873.7 / Avg: 7899.6 / Max: 7922.3 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 7352 EPYC 7252 EPYC 7272 EPYC 7282 EPYC 7232P EPYC 7552 EPYC 7662 EPYC 7532 EPYC 7642 EPYC 7302P EPYC 7702 EPYC 7502 EPYC 7502P EPYC 7452 EPYC 7402P EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 1100 2200 3300 4400 5500 SE +/- 4.52, N = 3 SE +/- 5.64, N = 3 SE +/- 5.52, N = 3 SE +/- 0.46, N = 3 SE +/- 0.40, N = 3 SE +/- 7.30, N = 3 SE +/- 1.01, N = 3 SE +/- 0.73, N = 3 SE +/- 0.50, N = 3 SE +/- 0.37, N = 3 SE +/- 3.59, N = 3 SE +/- 2.04, N = 3 SE +/- 0.43, N = 3 SE +/- 0.49, N = 3 SE +/- 0.72, N = 3 SE +/- 2.02, N = 3 SE +/- 0.70, N = 3 SE +/- 0.45, N = 3 SE +/- 11.63, N = 3 SE +/- 0.17, N = 3 4195.41 4230.65 4247.54 4272.70 4273.08 4397.19 4403.81 4405.46 4405.75 4406.41 4458.22 4470.35 4472.13 4472.15 4472.73 4535.60 4538.40 4938.52 5165.05 5205.65 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 7352 EPYC 7252 EPYC 7272 EPYC 7282 EPYC 7232P EPYC 7552 EPYC 7662 EPYC 7532 EPYC 7642 EPYC 7302P EPYC 7702 EPYC 7502 EPYC 7502P EPYC 7452 EPYC 7402P EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 900 1800 2700 3600 4500 Min: 4186.38 / Avg: 4195.41 / Max: 4200.32 Min: 4224.18 / Avg: 4230.65 / Max: 4241.89 Min: 4237.16 / Avg: 4247.54 / Max: 4256 Min: 4271.85 / Avg: 4272.7 / Max: 4273.41 Min: 4272.36 / Avg: 4273.08 / Max: 4273.74 Min: 4382.74 / Avg: 4397.19 / Max: 4406.2 Min: 4401.81 / Avg: 4403.81 / Max: 4405.07 Min: 4404.07 / Avg: 4405.46 / Max: 4406.52 Min: 4404.93 / Avg: 4405.75 / Max: 4406.67 Min: 4405.81 / Avg: 4406.41 / Max: 4407.1 Min: 4454.33 / Avg: 4458.22 / Max: 4465.38 Min: 4466.28 / Avg: 4470.35 / Max: 4472.69 Min: 4471.27 / Avg: 4472.13 / Max: 4472.64 Min: 4471.19 / Avg: 4472.15 / Max: 4472.78 Min: 4471.91 / Avg: 4472.73 / Max: 4474.16 Min: 4531.58 / Avg: 4535.6 / Max: 4537.98 Min: 4537.09 / Avg: 4538.4 / Max: 4539.48 Min: 4937.84 / Avg: 4938.52 / Max: 4939.37 Min: 5141.81 / Avg: 5165.05 / Max: 5177.6 Min: 5205.31 / Avg: 5205.65 / Max: 5205.87 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 7252 EPYC 7352 EPYC 7232P EPYC 7272 EPYC 7282 EPYC 7532 EPYC 7662 EPYC 7552 EPYC 7302P EPYC 7642 EPYC 7702 EPYC 7502P EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 0.6466 1.2932 1.9398 2.5864 3.233 SE +/- 0.009831, N = 3 SE +/- 0.002457, N = 3 SE +/- 0.002642, N = 3 SE +/- 0.005844, N = 3 SE +/- 0.003750, N = 3 SE +/- 0.001823, N = 3 SE +/- 0.002314, N = 3 SE +/- 0.006182, N = 3 SE +/- 0.003016, N = 3 SE +/- 0.001561, N = 3 SE +/- 0.001274, N = 3 SE +/- 0.001364, N = 3 SE +/- 0.002052, N = 3 SE +/- 0.003514, N = 3 SE +/- 0.000407, N = 3 SE +/- 0.000749, N = 3 SE +/- 0.000667, N = 3 SE +/- 0.004888, N = 3 SE +/- 0.006708, N = 3 SE +/- 0.001325, N = 3 2.873772 2.868562 2.839029 2.837977 2.834173 2.768810 2.740498 2.740470 2.735240 2.732245 2.715117 2.709800 2.696305 2.696217 2.693092 2.690606 2.655180 2.449580 2.331713 2.316262 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 7252 EPYC 7352 EPYC 7232P EPYC 7272 EPYC 7282 EPYC 7532 EPYC 7662 EPYC 7552 EPYC 7302P EPYC 7642 EPYC 7702 EPYC 7502P EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 2 4 6 8 10 Min: 2.86 / Avg: 2.87 / Max: 2.89 Min: 2.86 / Avg: 2.87 / Max: 2.87 Min: 2.83 / Avg: 2.84 / Max: 2.84 Min: 2.83 / Avg: 2.84 / Max: 2.85 Min: 2.83 / Avg: 2.83 / Max: 2.84 Min: 2.77 / Avg: 2.77 / Max: 2.77 Min: 2.74 / Avg: 2.74 / Max: 2.74 Min: 2.73 / Avg: 2.74 / Max: 2.75 Min: 2.73 / Avg: 2.74 / Max: 2.74 Min: 2.73 / Avg: 2.73 / Max: 2.73 Min: 2.71 / Avg: 2.72 / Max: 2.72 Min: 2.71 / Avg: 2.71 / Max: 2.71 Min: 2.69 / Avg: 2.7 / Max: 2.7 Min: 2.69 / Avg: 2.7 / Max: 2.7 Min: 2.69 / Avg: 2.69 / Max: 2.69 Min: 2.69 / Avg: 2.69 / Max: 2.69 Min: 2.65 / Avg: 2.66 / Max: 2.66 Min: 2.44 / Avg: 2.45 / Max: 2.46 Min: 2.32 / Avg: 2.33 / Max: 2.34 Min: 2.31 / Avg: 2.32 / Max: 2.32 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 7352 EPYC 7252 EPYC 7272 EPYC 7282 EPYC 7232P EPYC 7532 EPYC 7552 EPYC 7302P EPYC 7662 EPYC 7642 EPYC 7702 EPYC 7402P EPYC 7502P EPYC 7452 EPYC 7502 EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 90 180 270 360 450 SE +/- 0.34, N = 3 SE +/- 0.24, N = 3 SE +/- 0.27, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 4.59, N = 4 SE +/- 0.24, N = 3 SE +/- 0.08, N = 3 SE +/- 0.11, N = 3 SE +/- 0.09, N = 3 SE +/- 0.52, N = 3 SE +/- 0.28, N = 3 SE +/- 0.06, N = 3 SE +/- 0.11, N = 3 SE +/- 0.13, N = 3 SE +/- 0.10, N = 3 SE +/- 0.29, N = 3 SE +/- 0.08, N = 3 SE +/- 0.85, N = 3 SE +/- 0.17, N = 3 341.93 344.85 345.62 348.10 348.20 354.73 358.90 359.12 359.12 359.14 362.64 364.33 364.47 364.53 364.82 369.89 370.17 402.57 420.08 424.12 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 7352 EPYC 7252 EPYC 7272 EPYC 7282 EPYC 7232P EPYC 7532 EPYC 7552 EPYC 7302P EPYC 7662 EPYC 7642 EPYC 7702 EPYC 7402P EPYC 7502P EPYC 7452 EPYC 7502 EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 80 160 240 320 400 Min: 341.43 / Avg: 341.93 / Max: 342.57 Min: 344.39 / Avg: 344.85 / Max: 345.2 Min: 345.16 / Avg: 345.62 / Max: 346.1 Min: 348.07 / Avg: 348.1 / Max: 348.12 Min: 348.13 / Avg: 348.2 / Max: 348.25 Min: 340.96 / Avg: 354.73 / Max: 359.49 Min: 358.44 / Avg: 358.9 / Max: 359.26 Min: 358.96 / Avg: 359.12 / Max: 359.25 Min: 358.94 / Avg: 359.12 / Max: 359.32 Min: 359.02 / Avg: 359.14 / Max: 359.3 Min: 361.93 / Avg: 362.64 / Max: 363.65 Min: 363.76 / Avg: 364.33 / Max: 364.62 Min: 364.4 / Avg: 364.47 / Max: 364.59 Min: 364.38 / Avg: 364.53 / Max: 364.74 Min: 364.58 / Avg: 364.82 / Max: 365.03 Min: 369.74 / Avg: 369.89 / Max: 370.08 Min: 369.59 / Avg: 370.17 / Max: 370.5 Min: 402.41 / Avg: 402.57 / Max: 402.69 Min: 419.22 / Avg: 420.08 / Max: 421.77 Min: 423.79 / Avg: 424.12 / Max: 424.37 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 7352 EPYC 7252 EPYC 7232P EPYC 7272 EPYC 7282 EPYC 7662 EPYC 7532 EPYC 7302P EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7502P EPYC 7452 EPYC 7402P EPYC 7502 EPYC 7542 EPYC 7262 EPYC 7F72 EPYC 7F32 EPYC 7F52 5 10 15 20 25 20.50 20.25 20.21 20.20 20.15 19.62 19.57 19.55 19.53 19.52 19.34 19.28 19.28 19.27 19.26 19.00 18.95 17.48 16.58 16.53
OpenBenchmarking.org Seconds, Fewer Is Better Polyhedron Fortran Benchmarks Benchmark: protein EPYC 7352 EPYC 7252 EPYC 7272 EPYC 7282 EPYC 7232P EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7532 EPYC 7302P EPYC 7702 EPYC 7502 EPYC 7502P EPYC 7402P EPYC 7452 EPYC 7542 EPYC 7262 EPYC 7F72 EPYC 7F32 EPYC 7F52 4 8 12 16 20 16.94 16.83 16.76 16.66 16.63 16.15 16.15 16.15 16.15 16.13 15.97 15.90 15.89 15.89 15.88 15.67 15.67 14.41 13.78 13.66
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 7352 EPYC 7252 EPYC 7272 EPYC 7282 EPYC 7232P EPYC 7642 EPYC 7702 EPYC 7302P EPYC 7552 EPYC 7662 EPYC 7532 EPYC 7502P EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7542 EPYC 7262 EPYC 7F72 EPYC 7F32 EPYC 7F52 2K 4K 6K 8K 10K SE +/- 35.37, N = 3 SE +/- 64.79, N = 13 SE +/- 18.94, N = 3 SE +/- 13.57, N = 3 SE +/- 18.98, N = 3 SE +/- 11.62, N = 3 SE +/- 120.96, N = 12 SE +/- 26.00, N = 3 SE +/- 25.12, N = 3 SE +/- 25.41, N = 3 SE +/- 26.37, N = 3 SE +/- 17.27, N = 3 SE +/- 15.10, N = 3 SE +/- 11.00, N = 3 SE +/- 34.91, N = 3 SE +/- 9.46, N = 3 SE +/- 24.57, N = 3 SE +/- 6.72, N = 3 SE +/- 17.77, N = 3 SE +/- 14.56, N = 3 7612.7 7654.3 7723.8 7730.8 7745.0 7949.4 7964.4 7995.0 8006.0 8020.3 8026.0 8099.7 8109.5 8120.4 8134.5 8216.8 8220.9 8920.8 9421.5 9439.3 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 7352 EPYC 7252 EPYC 7272 EPYC 7282 EPYC 7232P EPYC 7642 EPYC 7702 EPYC 7302P EPYC 7552 EPYC 7662 EPYC 7532 EPYC 7502P EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7542 EPYC 7262 EPYC 7F72 EPYC 7F32 EPYC 7F52 1600 3200 4800 6400 8000 Min: 7570.9 / Avg: 7612.67 / Max: 7683 Min: 6879.1 / Avg: 7654.31 / Max: 7742 Min: 7692.6 / Avg: 7723.83 / Max: 7758 Min: 7709 / Avg: 7730.8 / Max: 7755.7 Min: 7711.3 / Avg: 7744.97 / Max: 7777 Min: 7926.3 / Avg: 7949.4 / Max: 7963.1 Min: 6641.2 / Avg: 7964.4 / Max: 8138.6 Min: 7964.9 / Avg: 7995.03 / Max: 8046.8 Min: 7973.4 / Avg: 8006 / Max: 8055.4 Min: 7974 / Avg: 8020.27 / Max: 8061.6 Min: 7994.6 / Avg: 8026 / Max: 8078.4 Min: 8080.9 / Avg: 8099.7 / Max: 8134.2 Min: 8082.1 / Avg: 8109.47 / Max: 8134.2 Min: 8098.4 / Avg: 8120.37 / Max: 8132.3 Min: 8082.8 / Avg: 8134.5 / Max: 8201 Min: 8199 / Avg: 8216.83 / Max: 8231.2 Min: 8173.5 / Avg: 8220.87 / Max: 8255.9 Min: 8907.4 / Avg: 8920.77 / Max: 8928.6 Min: 9400.9 / Avg: 9421.53 / Max: 9456.9 Min: 9411 / Avg: 9439.3 / Max: 9459.4 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 7352 EPYC 7272 EPYC 7232P EPYC 7252 EPYC 7282 EPYC 7532 EPYC 7662 EPYC 7642 EPYC 7702 EPYC 7302P EPYC 7552 EPYC 7502 EPYC 7502P EPYC 7452 EPYC 7402P EPYC 7542 EPYC 7262 EPYC 7F72 EPYC 7F32 EPYC 7F52 3 6 9 12 15 SE +/- 0.012, N = 3 SE +/- 0.023, N = 3 SE +/- 0.027, N = 3 SE +/- 0.027, N = 3 SE +/- 0.036, N = 3 SE +/- 0.047, N = 3 SE +/- 0.022, N = 3 SE +/- 0.010, N = 3 SE +/- 0.010, N = 3 SE +/- 0.022, N = 3 SE +/- 0.036, N = 3 SE +/- 0.017, N = 3 SE +/- 0.018, N = 3 SE +/- 0.022, N = 3 SE +/- 0.027, N = 3 SE +/- 0.028, N = 3 SE +/- 0.020, N = 3 SE +/- 0.025, N = 3 SE +/- 0.042, N = 3 SE +/- 0.016, N = 3 11.105 11.013 10.909 10.904 10.855 10.607 10.582 10.512 10.508 10.508 10.506 10.430 10.407 10.352 10.352 10.280 10.193 9.480 9.016 8.957
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Bork File Encrypter 1.4 File Encryption Time EPYC 7352 EPYC 7272 EPYC 7232P EPYC 7252 EPYC 7282 EPYC 7532 EPYC 7662 EPYC 7642 EPYC 7702 EPYC 7302P EPYC 7552 EPYC 7502 EPYC 7502P EPYC 7452 EPYC 7402P EPYC 7542 EPYC 7262 EPYC 7F72 EPYC 7F32 EPYC 7F52 3 6 9 12 15 Min: 11.08 / Avg: 11.11 / Max: 11.12 Min: 10.97 / Avg: 11.01 / Max: 11.05 Min: 10.86 / Avg: 10.91 / Max: 10.95 Min: 10.85 / Avg: 10.9 / Max: 10.93 Min: 10.78 / Avg: 10.86 / Max: 10.9 Min: 10.52 / Avg: 10.61 / Max: 10.67 Min: 10.54 / Avg: 10.58 / Max: 10.62 Min: 10.5 / Avg: 10.51 / Max: 10.53 Min: 10.49 / Avg: 10.51 / Max: 10.53 Min: 10.47 / Avg: 10.51 / Max: 10.55 Min: 10.44 / Avg: 10.51 / Max: 10.57 Min: 10.4 / Avg: 10.43 / Max: 10.45 Min: 10.38 / Avg: 10.41 / Max: 10.44 Min: 10.31 / Avg: 10.35 / Max: 10.38 Min: 10.3 / Avg: 10.35 / Max: 10.38 Min: 10.24 / Avg: 10.28 / Max: 10.33 Min: 10.15 / Avg: 10.19 / Max: 10.22 Min: 9.44 / Avg: 9.48 / Max: 9.53 Min: 8.97 / Avg: 9.02 / Max: 9.1 Min: 8.93 / Avg: 8.96 / Max: 8.98
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 7352 EPYC 7252 EPYC 7272 EPYC 7232P EPYC 7282 EPYC 7642 EPYC 7532 EPYC 7552 EPYC 7302P EPYC 7662 EPYC 7702 EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7402P EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 300K 600K 900K 1200K 1500K SE +/- 1494.44, N = 5 SE +/- 1769.79, N = 5 SE +/- 1633.10, N = 5 SE +/- 1232.94, N = 5 SE +/- 673.05, N = 5 SE +/- 712.78, N = 5 SE +/- 910.04, N = 5 SE +/- 913.57, N = 5 SE +/- 567.47, N = 5 SE +/- 567.47, N = 5 SE +/- 893.15, N = 5 SE +/- 736.20, N = 5 SE +/- 936.97, N = 5 SE +/- 823.10, N = 5 SE +/- 903.80, N = 5 SE +/- 1036.47, N = 5 SE +/- 968.31, N = 5 SE +/- 551.87, N = 5 SE +/- 3053.58, N = 5 SE +/- 1687.74, N = 5 944092 950613 957219 960888 962227 991322 991681 993111 994185 994185 1002876 1005805 1005806 1006909 1007278 1019963 1022993 1114034 1163483 1170383 1. (CC) gcc options: -O3 -march=native
Result Confidence
OpenBenchmarking.org Nodes Per Second, More Is Better TSCP 1.81 AI Chess Performance EPYC 7352 EPYC 7252 EPYC 7272 EPYC 7232P EPYC 7282 EPYC 7642 EPYC 7532 EPYC 7552 EPYC 7302P EPYC 7662 EPYC 7702 EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7402P EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 200K 400K 600K 800K 1000K Min: 938293 / Avg: 944091.8 / Max: 946353 Min: 946353 / Avg: 950613.2 / Max: 956211 Min: 952903 / Avg: 957219.4 / Max: 962898 Min: 957874 / Avg: 960888.4 / Max: 964584 Min: 961218 / Avg: 962227.2 / Max: 964584 Min: 988829 / Avg: 991322.4 / Max: 992392 Min: 988829 / Avg: 991680.8 / Max: 994184 Min: 990607 / Avg: 993111.2 / Max: 995981 Min: 992392 / Avg: 994185 / Max: 995981 Min: 992392 / Avg: 994185 / Max: 995981 Min: 999597 / Avg: 1002876 / Max: 1005069 Min: 1005069 / Avg: 1005805.2 / Max: 1008750 Min: 1003238 / Avg: 1005806.4 / Max: 1008750 Min: 1005069 / Avg: 1006908.8 / Max: 1008750 Min: 1005069 / Avg: 1007277.6 / Max: 1010601 Min: 1018073 / Avg: 1019962.8 / Max: 1023750 Min: 1019959 / Avg: 1022993.4 / Max: 1025657 Min: 1112682 / Avg: 1114033.8 / Max: 1114935 Min: 1152255 / Avg: 1163483.4 / Max: 1169380 Min: 1166902 / Avg: 1170383.2 / Max: 1174366 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 7252 EPYC 7352 EPYC 7272 EPYC 7232P EPYC 7282 EPYC 7552 EPYC 7532 EPYC 7662 EPYC 7642 EPYC 7302P EPYC 7702 EPYC 7262 EPYC 7452 EPYC 7502 EPYC 7402P EPYC 7502P EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 12 24 36 48 60 SE +/- 0.12, N = 3 SE +/- 0.01, N = 3 SE +/- 0.07, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.21, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 SE +/- 0.01, N = 3 SE +/- 0.11, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.09, N = 3 54.98 54.77 54.25 53.86 53.86 52.55 52.40 52.33 52.25 52.24 51.76 51.69 51.50 51.47 51.46 51.41 50.71 46.62 44.72 44.35 1. (CC) gcc options: -lm
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better dcraw RAW To PPM Image Conversion EPYC 7252 EPYC 7352 EPYC 7272 EPYC 7232P EPYC 7282 EPYC 7552 EPYC 7532 EPYC 7662 EPYC 7642 EPYC 7302P EPYC 7702 EPYC 7262 EPYC 7452 EPYC 7502 EPYC 7402P EPYC 7502P EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 11 22 33 44 55 Min: 54.79 / Avg: 54.98 / Max: 55.21 Min: 54.75 / Avg: 54.77 / Max: 54.79 Min: 54.1 / Avg: 54.25 / Max: 54.35 Min: 53.81 / Avg: 53.86 / Max: 53.94 Min: 53.76 / Avg: 53.86 / Max: 53.91 Min: 52.24 / Avg: 52.55 / Max: 52.95 Min: 52.36 / Avg: 52.4 / Max: 52.45 Min: 52.31 / Avg: 52.33 / Max: 52.37 Min: 52.18 / Avg: 52.25 / Max: 52.33 Min: 52.14 / Avg: 52.24 / Max: 52.38 Min: 51.75 / Avg: 51.76 / Max: 51.79 Min: 51.52 / Avg: 51.69 / Max: 51.89 Min: 51.37 / Avg: 51.49 / Max: 51.57 Min: 51.42 / Avg: 51.47 / Max: 51.52 Min: 51.42 / Avg: 51.46 / Max: 51.5 Min: 51.4 / Avg: 51.41 / Max: 51.41 Min: 50.68 / Avg: 50.71 / Max: 50.77 Min: 46.59 / Avg: 46.62 / Max: 46.66 Min: 44.68 / Avg: 44.72 / Max: 44.77 Min: 44.25 / Avg: 44.35 / Max: 44.54 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 7352 EPYC 7252 EPYC 7272 EPYC 7232P EPYC 7282 EPYC 7662 EPYC 7532 EPYC 7642 EPYC 7302P EPYC 7552 EPYC 7452 EPYC 7502 EPYC 7402P EPYC 7702 EPYC 7502P EPYC 7542 EPYC 7262 EPYC 7F72 EPYC 7F32 EPYC 7F52 130K 260K 390K 520K 650K SE +/- 1155.08, N = 3 SE +/- 3277.70, N = 3 SE +/- 3427.90, N = 3 SE +/- 351.72, N = 3 SE +/- 2863.87, N = 3 SE +/- 2747.06, N = 3 SE +/- 2362.58, N = 3 SE +/- 507.16, N = 3 SE +/- 1526.06, N = 3 SE +/- 2275.05, N = 3 SE +/- 2635.10, N = 3 SE +/- 1399.56, N = 3 SE +/- 583.02, N = 3 SE +/- 2165.69, N = 3 SE +/- 1200.01, N = 3 SE +/- 2113.07, N = 3 SE +/- 2718.70, N = 3 SE +/- 837.97, N = 3 SE +/- 2981.62, N = 3 SE +/- 2359.01, N = 3 484301 488026 490002 492401 493191 504339 504716 506221 506275 507020 513016 513979 514044 514218 515021 520135 522810 571873 598080 600343
Result Confidence
OpenBenchmarking.org Score, More Is Better PHPBench 0.8.1 PHP Benchmark Suite EPYC 7352 EPYC 7252 EPYC 7272 EPYC 7232P EPYC 7282 EPYC 7662 EPYC 7532 EPYC 7642 EPYC 7302P EPYC 7552 EPYC 7452 EPYC 7502 EPYC 7402P EPYC 7702 EPYC 7502P EPYC 7542 EPYC 7262 EPYC 7F72 EPYC 7F32 EPYC 7F52 100K 200K 300K 400K 500K Min: 482002 / Avg: 484301 / Max: 485647 Min: 481927 / Avg: 488025.67 / Max: 493157 Min: 486082 / Avg: 490002 / Max: 496833 Min: 492038 / Avg: 492400.67 / Max: 493104 Min: 488411 / Avg: 493191.33 / Max: 498314 Min: 499465 / Avg: 504338.67 / Max: 508972 Min: 500994 / Avg: 504716 / Max: 509098 Min: 505464 / Avg: 506220.67 / Max: 507184 Min: 503297 / Avg: 506275 / Max: 508343 Min: 503077 / Avg: 507020.33 / Max: 510958 Min: 510116 / Avg: 513016 / Max: 518277 Min: 511256 / Avg: 513979 / Max: 515902 Min: 513379 / Avg: 514044 / Max: 515206 Min: 510015 / Avg: 514218 / Max: 517226 Min: 512649 / Avg: 515020.67 / Max: 516525 Min: 517027 / Avg: 520135 / Max: 524169 Min: 517673 / Avg: 522810 / Max: 526922 Min: 570368 / Avg: 571873.33 / Max: 573264 Min: 592630 / Avg: 598080 / Max: 602901 Min: 596626 / Avg: 600343 / Max: 604718
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 7352 EPYC 7252 EPYC 7272 EPYC 7232P EPYC 7282 EPYC 7532 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7302P EPYC 7702 EPYC 7452 EPYC 7402P EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7262 EPYC 7F72 EPYC 7F32 EPYC 7F52 3 6 9 12 15 SE +/- 0.002, N = 3 SE +/- 0.008, N = 3 SE +/- 0.017, N = 3 SE +/- 0.003, N = 3 SE +/- 0.003, N = 3 SE +/- 0.005, N = 3 SE +/- 0.024, N = 3 SE +/- 0.010, N = 3 SE +/- 0.003, N = 3 SE +/- 0.004, N = 3 SE +/- 0.008, N = 3 SE +/- 0.042, N = 3 SE +/- 0.004, N = 3 SE +/- 0.007, N = 3 SE +/- 0.003, N = 3 SE +/- 0.013, N = 3 SE +/- 0.009, N = 3 SE +/- 0.007, N = 3 SE +/- 0.003, N = 3 SE +/- 0.003, N = 3 10.024 9.907 9.887 9.836 9.832 9.564 9.556 9.550 9.543 9.528 9.446 9.436 9.404 9.400 9.396 9.266 9.260 8.856 8.124 8.087 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 7352 EPYC 7252 EPYC 7272 EPYC 7232P EPYC 7282 EPYC 7532 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7302P EPYC 7702 EPYC 7452 EPYC 7402P EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7262 EPYC 7F72 EPYC 7F32 EPYC 7F52 3 6 9 12 15 Min: 10.02 / Avg: 10.02 / Max: 10.03 Min: 9.9 / Avg: 9.91 / Max: 9.92 Min: 9.86 / Avg: 9.89 / Max: 9.92 Min: 9.83 / Avg: 9.84 / Max: 9.84 Min: 9.83 / Avg: 9.83 / Max: 9.84 Min: 9.56 / Avg: 9.56 / Max: 9.57 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: 9.52 / Avg: 9.53 / Max: 9.53 Min: 9.43 / Avg: 9.45 / Max: 9.46 Min: 9.39 / Avg: 9.44 / Max: 9.52 Min: 9.4 / Avg: 9.4 / Max: 9.41 Min: 9.39 / Avg: 9.4 / Max: 9.41 Min: 9.39 / Avg: 9.4 / Max: 9.4 Min: 9.25 / Avg: 9.27 / Max: 9.29 Min: 9.24 / Avg: 9.26 / Max: 9.27 Min: 8.84 / Avg: 8.86 / Max: 8.87 Min: 8.12 / Avg: 8.12 / Max: 8.13 Min: 8.08 / Avg: 8.09 / Max: 8.09 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 7352 EPYC 7232P EPYC 7272 EPYC 7252 EPYC 7282 EPYC 7532 EPYC 7552 EPYC 7642 EPYC 7302P EPYC 7662 EPYC 7452 EPYC 7502 EPYC 7702 EPYC 7402P EPYC 7502P EPYC 7542 EPYC 7262 EPYC 7F72 EPYC 7F32 EPYC 7F52 400 800 1200 1600 2000 SE +/- 0.36, N = 3 SE +/- 4.99, N = 3 SE +/- 4.29, N = 3 SE +/- 0.27, N = 3 SE +/- 0.05, N = 3 SE +/- 1.70, N = 3 SE +/- 6.62, N = 3 SE +/- 0.32, N = 3 SE +/- 0.24, N = 3 SE +/- 0.41, N = 3 SE +/- 6.19, N = 3 SE +/- 6.10, N = 3 SE +/- 0.11, N = 3 SE +/- 4.45, N = 3 SE +/- 0.36, N = 3 SE +/- 6.85, N = 3 SE +/- 0.15, N = 3 SE +/- 0.08, N = 3 SE +/- 5.43, N = 3 SE +/- 0.26, N = 3 1526.07 1543.18 1545.62 1549.85 1551.93 1585.16 1593.45 1599.97 1600.37 1600.43 1617.94 1618.31 1618.82 1620.27 1624.46 1642.14 1649.03 1793.82 1882.96 1891.08 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 7352 EPYC 7232P EPYC 7272 EPYC 7252 EPYC 7282 EPYC 7532 EPYC 7552 EPYC 7642 EPYC 7302P EPYC 7662 EPYC 7452 EPYC 7502 EPYC 7702 EPYC 7402P EPYC 7502P EPYC 7542 EPYC 7262 EPYC 7F72 EPYC 7F32 EPYC 7F52 300 600 900 1200 1500 Min: 1525.45 / Avg: 1526.07 / Max: 1526.7 Min: 1533.19 / Avg: 1543.18 / Max: 1548.29 Min: 1537.08 / Avg: 1545.62 / Max: 1550.66 Min: 1549.49 / Avg: 1549.85 / Max: 1550.38 Min: 1551.82 / Avg: 1551.93 / Max: 1551.98 Min: 1581.93 / Avg: 1585.16 / Max: 1587.68 Min: 1580.23 / Avg: 1593.45 / Max: 1600.52 Min: 1599.53 / Avg: 1599.97 / Max: 1600.6 Min: 1599.9 / Avg: 1600.37 / Max: 1600.64 Min: 1599.65 / Avg: 1600.43 / Max: 1601.06 Min: 1605.58 / Avg: 1617.94 / Max: 1624.6 Min: 1606.12 / Avg: 1618.31 / Max: 1624.72 Min: 1618.68 / Avg: 1618.82 / Max: 1619.05 Min: 1611.36 / Avg: 1620.27 / Max: 1624.8 Min: 1624.07 / Avg: 1624.46 / Max: 1625.17 Min: 1628.44 / Avg: 1642.14 / Max: 1649.35 Min: 1648.87 / Avg: 1649.03 / Max: 1649.33 Min: 1793.71 / Avg: 1793.82 / Max: 1793.98 Min: 1872.09 / Avg: 1882.96 / Max: 1888.44 Min: 1890.57 / Avg: 1891.08 / Max: 1891.43 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 7352 EPYC 7232P EPYC 7252 EPYC 7272 EPYC 7282 EPYC 7532 EPYC 7642 EPYC 7552 EPYC 7662 EPYC 7302P EPYC 7702 EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7402P EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 16 32 48 64 80 SE +/- 0.06, N = 3 SE +/- 0.07, N = 3 SE +/- 0.07, N = 3 SE +/- 0.10, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.19, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.08, 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 +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 69.79 68.88 68.80 68.52 68.20 67.11 67.09 66.71 66.49 66.30 65.80 65.78 65.51 65.48 65.33 64.87 64.48 59.77 56.46 56.33
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Color Enhance EPYC 7352 EPYC 7232P EPYC 7252 EPYC 7272 EPYC 7282 EPYC 7532 EPYC 7642 EPYC 7552 EPYC 7662 EPYC 7302P EPYC 7702 EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7402P EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 14 28 42 56 70 Min: 69.68 / Avg: 69.79 / Max: 69.87 Min: 68.76 / Avg: 68.88 / Max: 68.99 Min: 68.7 / Avg: 68.8 / Max: 68.93 Min: 68.35 / Avg: 68.52 / Max: 68.69 Min: 68.15 / Avg: 68.2 / Max: 68.25 Min: 67.01 / Avg: 67.11 / Max: 67.19 Min: 66.86 / Avg: 67.09 / Max: 67.47 Min: 66.65 / Avg: 66.71 / Max: 66.78 Min: 66.43 / Avg: 66.49 / Max: 66.53 Min: 66.23 / Avg: 66.29 / Max: 66.39 Min: 65.66 / Avg: 65.8 / Max: 65.9 Min: 65.72 / Avg: 65.78 / Max: 65.82 Min: 65.45 / Avg: 65.51 / Max: 65.56 Min: 65.43 / Avg: 65.48 / Max: 65.55 Min: 65.24 / Avg: 65.33 / Max: 65.41 Min: 64.76 / Avg: 64.87 / Max: 64.93 Min: 64.41 / Avg: 64.48 / Max: 64.54 Min: 59.7 / Avg: 59.77 / Max: 59.84 Min: 56.43 / Avg: 56.46 / Max: 56.49 Min: 56.32 / Avg: 56.33 / Max: 56.35
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 7352 EPYC 7282 EPYC 7252 EPYC 7232P EPYC 7272 EPYC 7662 EPYC 7532 EPYC 7302P EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7502P EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 2 4 6 8 10 7.99 7.88 7.87 7.87 7.86 7.63 7.63 7.63 7.62 7.62 7.53 7.53 7.51 7.51 7.50 7.41 7.40 6.80 6.46 6.45
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 7352 EPYC 7252 EPYC 7272 EPYC 7282 EPYC 7232P EPYC 7532 EPYC 7662 EPYC 7552 EPYC 7642 EPYC 7302P EPYC 7702 EPYC 7452 EPYC 7402P EPYC 7502 EPYC 7502P EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 9 18 27 36 45 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, 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 +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, 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 41.26 40.89 40.77 40.57 40.54 39.45 39.40 39.33 39.32 39.28 38.89 38.79 38.75 38.75 38.71 38.51 38.22 35.14 33.46 33.31 1. (CC) gcc options: -lm -O3
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better AOBench Size: 2048 x 2048 - Total Time EPYC 7352 EPYC 7252 EPYC 7272 EPYC 7282 EPYC 7232P EPYC 7532 EPYC 7662 EPYC 7552 EPYC 7642 EPYC 7302P EPYC 7702 EPYC 7452 EPYC 7402P EPYC 7502 EPYC 7502P EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 9 18 27 36 45 Min: 41.23 / Avg: 41.26 / Max: 41.28 Min: 40.84 / Avg: 40.89 / Max: 40.96 Min: 40.76 / Avg: 40.77 / Max: 40.79 Min: 40.54 / Avg: 40.57 / Max: 40.6 Min: 40.53 / Avg: 40.54 / Max: 40.55 Min: 39.43 / Avg: 39.45 / Max: 39.47 Min: 39.32 / Avg: 39.4 / Max: 39.48 Min: 39.32 / Avg: 39.33 / Max: 39.34 Min: 39.3 / Avg: 39.32 / Max: 39.32 Min: 39.27 / Avg: 39.28 / Max: 39.31 Min: 38.87 / Avg: 38.89 / Max: 38.91 Min: 38.75 / Avg: 38.79 / Max: 38.86 Min: 38.73 / Avg: 38.75 / Max: 38.75 Min: 38.71 / Avg: 38.75 / Max: 38.77 Min: 38.7 / Avg: 38.71 / Max: 38.72 Min: 38.5 / Avg: 38.51 / Max: 38.52 Min: 38.17 / Avg: 38.22 / Max: 38.31 Min: 35.08 / Avg: 35.14 / Max: 35.26 Min: 33.44 / Avg: 33.46 / Max: 33.5 Min: 33.26 / Avg: 33.31 / Max: 33.35 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 7352 EPYC 7272 EPYC 7252 EPYC 7232P EPYC 7282 EPYC 7532 EPYC 7302P EPYC 7642 EPYC 7552 EPYC 7662 EPYC 7702 EPYC 7402P EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 300 600 900 1200 1500 SE +/- 0.05, N = 3 SE +/- 0.37, N = 3 SE +/- 0.22, N = 3 SE +/- 0.14, N = 3 SE +/- 0.20, N = 3 SE +/- 0.59, N = 3 SE +/- 0.23, N = 3 SE +/- 0.06, N = 3 SE +/- 0.29, N = 3 SE +/- 0.07, N = 3 SE +/- 0.15, N = 3 SE +/- 0.06, N = 3 SE +/- 0.14, N = 3 SE +/- 0.15, N = 3 SE +/- 0.22, N = 3 SE +/- 0.03, N = 3 SE +/- 0.26, N = 3 SE +/- 0.16, N = 3 SE +/- 0.09, N = 3 SE +/- 0.25, N = 3 939.99 950.84 951.01 954.57 954.77 982.88 984.81 985.06 985.33 985.70 996.68 999.52 999.56 1000.06 1000.18 1014.89 1015.11 1103.94 1159.53 1164.22 1. (CC) gcc options: -lm
Result Confidence
OpenBenchmarking.org Mflops, More Is Better SciMark 2.0 Computational Test: Jacobi Successive Over-Relaxation EPYC 7352 EPYC 7272 EPYC 7252 EPYC 7232P EPYC 7282 EPYC 7532 EPYC 7302P EPYC 7642 EPYC 7552 EPYC 7662 EPYC 7702 EPYC 7402P EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 200 400 600 800 1000 Min: 939.93 / Avg: 939.99 / Max: 940.08 Min: 950.42 / Avg: 950.84 / Max: 951.59 Min: 950.79 / Avg: 951.01 / Max: 951.45 Min: 954.32 / Avg: 954.57 / Max: 954.81 Min: 954.47 / Avg: 954.77 / Max: 955.16 Min: 982.03 / Avg: 982.88 / Max: 984.01 Min: 984.35 / Avg: 984.81 / Max: 985.07 Min: 984.94 / Avg: 985.06 / Max: 985.16 Min: 984.87 / Avg: 985.33 / Max: 985.87 Min: 985.56 / Avg: 985.7 / Max: 985.81 Min: 996.53 / Avg: 996.68 / Max: 996.97 Min: 999.42 / Avg: 999.52 / Max: 999.62 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: 1014.84 / Avg: 1014.89 / Max: 1014.94 Min: 1014.63 / Avg: 1015.11 / Max: 1015.51 Min: 1103.64 / Avg: 1103.94 / Max: 1104.19 Min: 1159.36 / Avg: 1159.53 / Max: 1159.67 Min: 1163.84 / Avg: 1164.22 / Max: 1164.7 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 7252 EPYC 7352 EPYC 7232P EPYC 7272 EPYC 7282 EPYC 7532 EPYC 7662 EPYC 7502P EPYC 7552 EPYC 7302P EPYC 7642 EPYC 7702 EPYC 7402P EPYC 7502 EPYC 7452 EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 0.2477 0.4954 0.7431 0.9908 1.2385 SE +/- 0.003821, N = 3 SE +/- 0.001080, N = 3 SE +/- 0.001672, N = 3 SE +/- 0.001552, N = 3 SE +/- 0.001415, N = 3 SE +/- 0.001981, N = 3 SE +/- 0.000882, N = 3 SE +/- 0.001534, N = 3 SE +/- 0.000932, N = 3 SE +/- 0.001091, N = 3 SE +/- 0.000753, N = 3 SE +/- 0.000715, N = 3 SE +/- 0.000791, N = 3 SE +/- 0.000668, N = 3 SE +/- 0.001174, N = 3 SE +/- 0.004000, N = 3 SE +/- 0.000354, N = 3 SE +/- 0.000997, N = 3 SE +/- 0.002476, N = 3 SE +/- 0.000474, N = 3 1.100890 1.100758 1.098203 1.087148 1.082283 1.056087 1.052042 1.051038 1.049650 1.048465 1.048453 1.036920 1.035080 1.033955 1.033427 1.025110 1.015980 0.942317 0.894938 0.888915 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 7252 EPYC 7352 EPYC 7232P EPYC 7272 EPYC 7282 EPYC 7532 EPYC 7662 EPYC 7502P EPYC 7552 EPYC 7302P EPYC 7642 EPYC 7702 EPYC 7402P EPYC 7502 EPYC 7452 EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 2 4 6 8 10 Min: 1.09 / Avg: 1.1 / Max: 1.11 Min: 1.1 / Avg: 1.1 / Max: 1.1 Min: 1.1 / Avg: 1.1 / Max: 1.1 Min: 1.08 / Avg: 1.09 / Max: 1.09 Min: 1.08 / Avg: 1.08 / Max: 1.09 Min: 1.05 / Avg: 1.06 / Max: 1.06 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: 1.05 / Avg: 1.05 / Max: 1.05 Min: 1.05 / Avg: 1.05 / Max: 1.05 Min: 1.04 / Avg: 1.04 / Max: 1.04 Min: 1.03 / Avg: 1.04 / Max: 1.04 Min: 1.03 / Avg: 1.03 / Max: 1.03 Min: 1.03 / Avg: 1.03 / Max: 1.04 Min: 1.02 / Avg: 1.03 / Max: 1.03 Min: 1.02 / Avg: 1.02 / Max: 1.02 Min: 0.94 / Avg: 0.94 / Max: 0.94 Min: 0.89 / Avg: 0.89 / Max: 0.9 Min: 0.89 / Avg: 0.89 / Max: 0.89 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 7352 EPYC 7252 EPYC 7272 EPYC 7282 EPYC 7232P EPYC 7302P EPYC 7642 EPYC 7532 EPYC 7662 EPYC 7552 EPYC 7702 EPYC 7502 EPYC 7402P EPYC 7452 EPYC 7502P EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 80 160 240 320 400 SE +/- 0.15, N = 3 SE +/- 0.14, N = 3 SE +/- 0.28, N = 3 SE +/- 0.06, N = 3 SE +/- 0.08, N = 3 SE +/- 0.15, N = 3 SE +/- 0.09, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.11, N = 3 SE +/- 0.14, N = 3 SE +/- 0.20, N = 3 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 SE +/- 0.20, N = 3 SE +/- 0.08, N = 3 283.96 285.66 286.58 288.71 288.79 297.66 297.79 297.88 297.96 298.00 301.30 302.26 302.31 302.33 302.38 306.78 306.83 333.87 349.06 351.65 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 7352 EPYC 7252 EPYC 7272 EPYC 7282 EPYC 7232P EPYC 7302P EPYC 7642 EPYC 7532 EPYC 7662 EPYC 7552 EPYC 7702 EPYC 7502 EPYC 7402P EPYC 7452 EPYC 7502P EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 60 120 180 240 300 Min: 283.71 / Avg: 283.96 / Max: 284.24 Min: 285.41 / Avg: 285.66 / Max: 285.91 Min: 286.21 / Avg: 286.58 / Max: 287.13 Min: 288.64 / Avg: 288.71 / Max: 288.82 Min: 288.69 / Avg: 288.79 / Max: 288.94 Min: 297.46 / Avg: 297.66 / Max: 297.95 Min: 297.63 / Avg: 297.78 / Max: 297.96 Min: 297.79 / Avg: 297.88 / Max: 297.94 Min: 297.9 / Avg: 297.96 / Max: 298.06 Min: 297.78 / Avg: 298 / Max: 298.16 Min: 301.1 / Avg: 301.3 / Max: 301.58 Min: 301.89 / Avg: 302.26 / Max: 302.56 Min: 302.23 / Avg: 302.31 / Max: 302.38 Min: 302.17 / Avg: 302.33 / Max: 302.45 Min: 302.31 / Avg: 302.37 / Max: 302.42 Min: 306.68 / Avg: 306.78 / Max: 306.92 Min: 306.75 / Avg: 306.83 / Max: 306.95 Min: 333.76 / Avg: 333.87 / Max: 333.94 Min: 348.75 / Avg: 349.06 / Max: 349.44 Min: 351.48 / Avg: 351.65 / Max: 351.75 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 7352 EPYC 7252 EPYC 7272 EPYC 7232P EPYC 7282 EPYC 7532 EPYC 7662 EPYC 7552 EPYC 7642 EPYC 7302P EPYC 7702 EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7402P EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 6 12 18 24 30 SE +/- 0.02, 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 +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, 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 24.83 24.62 24.56 24.40 24.39 23.74 23.68 23.67 23.65 23.63 23.39 23.35 23.31 23.31 23.29 23.21 22.96 21.17 20.13 20.05 1. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better RNNoise 2020-06-28 EPYC 7352 EPYC 7252 EPYC 7272 EPYC 7232P EPYC 7282 EPYC 7532 EPYC 7662 EPYC 7552 EPYC 7642 EPYC 7302P EPYC 7702 EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7402P EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 6 12 18 24 30 Min: 24.78 / Avg: 24.83 / Max: 24.86 Min: 24.55 / Avg: 24.62 / Max: 24.66 Min: 24.49 / Avg: 24.56 / Max: 24.62 Min: 24.38 / Avg: 24.4 / Max: 24.42 Min: 24.38 / Avg: 24.39 / Max: 24.41 Min: 23.71 / Avg: 23.74 / Max: 23.79 Min: 23.65 / Avg: 23.68 / Max: 23.73 Min: 23.66 / Avg: 23.67 / Max: 23.68 Min: 23.61 / Avg: 23.64 / Max: 23.67 Min: 23.61 / Avg: 23.63 / Max: 23.66 Min: 23.37 / Avg: 23.39 / Max: 23.44 Min: 23.32 / Avg: 23.35 / Max: 23.4 Min: 23.28 / Avg: 23.31 / Max: 23.36 Min: 23.29 / Avg: 23.31 / Max: 23.33 Min: 23.29 / Avg: 23.29 / Max: 23.29 Min: 23.17 / Avg: 23.21 / Max: 23.23 Min: 22.94 / Avg: 22.96 / Max: 22.97 Min: 21.15 / Avg: 21.17 / Max: 21.18 Min: 20.1 / Avg: 20.13 / Max: 20.16 Min: 20.04 / Avg: 20.05 / Max: 20.08 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 7352 EPYC 7252 EPYC 7282 EPYC 7272 EPYC 7232P EPYC 7662 EPYC 7552 EPYC 7642 EPYC 7302P EPYC 7532 EPYC 7452 EPYC 7702 EPYC 7502 EPYC 7502P EPYC 7402P EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 30 60 90 120 150 SE +/- 0.11, N = 3 SE +/- 0.02, N = 3 SE +/- 0.29, N = 3 SE +/- 0.27, N = 3 SE +/- 0.38, N = 3 SE +/- 0.10, N = 3 SE +/- 0.09, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 1.35, N = 3 SE +/- 0.22, N = 3 SE +/- 0.06, N = 3 SE +/- 0.08, N = 3 SE +/- 0.04, N = 3 SE +/- 0.12, N = 3 SE +/- 0.10, N = 3 SE +/- 0.45, N = 3 SE +/- 0.07, N = 3 SE +/- 0.17, N = 3 113.09 114.21 114.51 114.54 114.61 118.48 118.56 118.56 118.58 118.68 119.05 119.74 120.37 120.37 120.41 121.97 122.15 132.58 139.28 140.00 1. (CC) gcc options: -lm
Result Confidence
OpenBenchmarking.org Mflops, More Is Better SciMark 2.0 Computational Test: Monte Carlo EPYC 7352 EPYC 7252 EPYC 7282 EPYC 7272 EPYC 7232P EPYC 7662 EPYC 7552 EPYC 7642 EPYC 7302P EPYC 7532 EPYC 7452 EPYC 7702 EPYC 7502 EPYC 7502P EPYC 7402P EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 30 60 90 120 150 Min: 112.87 / Avg: 113.09 / Max: 113.22 Min: 114.18 / Avg: 114.21 / Max: 114.23 Min: 113.96 / Avg: 114.51 / Max: 114.92 Min: 114.16 / Avg: 114.54 / Max: 115.07 Min: 113.86 / Avg: 114.61 / Max: 115.03 Min: 118.28 / Avg: 118.48 / Max: 118.61 Min: 118.38 / Avg: 118.56 / Max: 118.67 Min: 118.51 / Avg: 118.56 / Max: 118.65 Min: 118.52 / Avg: 118.58 / Max: 118.62 Min: 118.58 / Avg: 118.68 / Max: 118.75 Min: 116.35 / Avg: 119.05 / Max: 120.42 Min: 119.29 / Avg: 119.74 / Max: 119.98 Min: 120.25 / Avg: 120.37 / Max: 120.43 Min: 120.22 / Avg: 120.37 / Max: 120.47 Min: 120.36 / Avg: 120.41 / Max: 120.48 Min: 121.74 / Avg: 121.97 / Max: 122.15 Min: 121.94 / Avg: 122.15 / Max: 122.26 Min: 131.67 / Avg: 132.58 / Max: 133.04 Min: 139.18 / Avg: 139.28 / Max: 139.41 Min: 139.68 / Avg: 140 / Max: 140.23 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 7352 EPYC 7252 EPYC 7272 EPYC 7282 EPYC 7232P EPYC 7302P EPYC 7642 EPYC 7662 EPYC 7552 EPYC 7532 EPYC 7702 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 100 200 300 400 500 SE +/- 0.10, N = 3 SE +/- 0.49, N = 3 SE +/- 0.68, N = 3 SE +/- 0.06, N = 3 SE +/- 0.89, N = 3 SE +/- 0.17, N = 3 SE +/- 0.03, N = 3 SE +/- 0.77, N = 3 SE +/- 1.09, N = 3 SE +/- 0.16, N = 3 SE +/- 0.14, N = 3 SE +/- 0.09, N = 3 SE +/- 0.56, N = 3 SE +/- 1.02, N = 3 SE +/- 1.04, N = 3 SE +/- 0.09, N = 3 SE +/- 0.69, N = 3 SE +/- 0.17, N = 3 SE +/- 0.18, N = 3 SE +/- 0.62, N = 3 381.50 386.77 386.81 387.79 388.80 399.98 400.05 400.21 400.85 401.44 404.44 405.99 406.62 407.11 407.18 412.22 412.61 448.29 471.25 472.22 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 7352 EPYC 7252 EPYC 7272 EPYC 7282 EPYC 7232P EPYC 7302P EPYC 7642 EPYC 7662 EPYC 7552 EPYC 7532 EPYC 7702 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7402P EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 80 160 240 320 400 Min: 381.38 / Avg: 381.5 / Max: 381.69 Min: 386.19 / Avg: 386.77 / Max: 387.75 Min: 386.05 / Avg: 386.81 / Max: 388.17 Min: 387.7 / Avg: 387.79 / Max: 387.9 Min: 387.76 / Avg: 388.8 / Max: 390.57 Min: 399.65 / Avg: 399.98 / Max: 400.19 Min: 400 / Avg: 400.05 / Max: 400.1 Min: 399.12 / Avg: 400.21 / Max: 401.69 Min: 399.66 / Avg: 400.85 / Max: 403.02 Min: 401.15 / Avg: 401.44 / Max: 401.7 Min: 404.16 / Avg: 404.44 / Max: 404.59 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: 412.13 / Avg: 412.22 / Max: 412.39 Min: 411.86 / Avg: 412.61 / Max: 413.98 Min: 447.96 / Avg: 448.29 / Max: 448.52 Min: 470.9 / Avg: 471.25 / Max: 471.48 Min: 471 / Avg: 472.22 / Max: 472.99 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 7352 EPYC 7252 EPYC 7272 EPYC 7232P EPYC 7282 EPYC 7642 EPYC 7302P EPYC 7532 EPYC 7662 EPYC 7552 EPYC 7702 EPYC 7502P EPYC 7402P EPYC 7502 EPYC 7452 EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 30 60 90 120 150 SE +/- 0.06, N = 3 SE +/- 0.30, N = 3 SE +/- 0.16, N = 3 SE +/- 0.06, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.20, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.16, N = 3 SE +/- 0.13, N = 3 110.95 111.50 112.08 112.59 112.79 116.27 116.33 116.34 116.34 116.39 117.51 118.07 118.08 118.11 118.15 119.89 119.93 130.42 136.44 137.29 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 7352 EPYC 7252 EPYC 7272 EPYC 7232P EPYC 7282 EPYC 7642 EPYC 7302P EPYC 7532 EPYC 7662 EPYC 7552 EPYC 7702 EPYC 7502P EPYC 7402P EPYC 7502 EPYC 7452 EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 30 60 90 120 150 Min: 110.9 / Avg: 110.95 / Max: 111.06 Min: 110.91 / Avg: 111.5 / Max: 111.87 Min: 111.89 / Avg: 112.08 / Max: 112.39 Min: 112.52 / Avg: 112.59 / Max: 112.7 Min: 112.66 / Avg: 112.79 / Max: 112.89 Min: 116.21 / Avg: 116.27 / Max: 116.31 Min: 116.27 / Avg: 116.33 / Max: 116.42 Min: 116.29 / Avg: 116.34 / Max: 116.37 Min: 116.33 / Avg: 116.34 / Max: 116.36 Min: 116.37 / Avg: 116.39 / Max: 116.42 Min: 117.11 / Avg: 117.51 / Max: 117.71 Min: 118 / Avg: 118.07 / Max: 118.14 Min: 117.97 / Avg: 118.07 / Max: 118.15 Min: 118.05 / Avg: 118.11 / Max: 118.2 Min: 118.1 / Avg: 118.15 / Max: 118.18 Min: 119.86 / Avg: 119.89 / Max: 119.92 Min: 119.91 / Avg: 119.93 / Max: 119.95 Min: 130.4 / Avg: 130.42 / Max: 130.44 Min: 136.12 / Avg: 136.44 / Max: 136.6 Min: 137.03 / Avg: 137.29 / Max: 137.45 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 7252 EPYC 7352 EPYC 7272 EPYC 7232P EPYC 7282 EPYC 7302P EPYC 7532 EPYC 7552 EPYC 7662 EPYC 7642 EPYC 7702 EPYC 7452 EPYC 7402P EPYC 7502 EPYC 7502P EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 5 10 15 20 25 SE +/- 0.06, N = 3 SE +/- 0.08, N = 3 SE +/- 0.03, 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 +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 21.93 21.91 21.68 21.63 21.45 20.87 20.84 20.79 20.79 20.78 20.72 20.59 20.52 20.52 20.49 20.20 20.19 18.61 17.83 17.73
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Dolfyn 0.527 Computational Fluid Dynamics EPYC 7252 EPYC 7352 EPYC 7272 EPYC 7232P EPYC 7282 EPYC 7302P EPYC 7532 EPYC 7552 EPYC 7662 EPYC 7642 EPYC 7702 EPYC 7452 EPYC 7402P EPYC 7502 EPYC 7502P EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 5 10 15 20 25 Min: 21.86 / Avg: 21.93 / Max: 22.06 Min: 21.79 / Avg: 21.91 / Max: 22.06 Min: 21.62 / Avg: 21.68 / Max: 21.74 Min: 21.61 / Avg: 21.63 / Max: 21.64 Min: 21.44 / Avg: 21.45 / Max: 21.47 Min: 20.85 / Avg: 20.87 / Max: 20.9 Min: 20.79 / Avg: 20.84 / Max: 20.91 Min: 20.77 / Avg: 20.79 / Max: 20.82 Min: 20.77 / Avg: 20.79 / Max: 20.81 Min: 20.76 / Avg: 20.78 / Max: 20.8 Min: 20.66 / Avg: 20.72 / Max: 20.76 Min: 20.53 / Avg: 20.59 / Max: 20.65 Min: 20.48 / Avg: 20.52 / Max: 20.58 Min: 20.49 / Avg: 20.52 / Max: 20.54 Min: 20.45 / Avg: 20.49 / Max: 20.51 Min: 20.18 / Avg: 20.2 / Max: 20.23 Min: 20.15 / Avg: 20.19 / Max: 20.21 Min: 18.56 / Avg: 18.61 / Max: 18.64 Min: 17.8 / Avg: 17.83 / Max: 17.88 Min: 17.69 / Avg: 17.73 / Max: 17.8
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 7352 EPYC 7252 EPYC 7272 EPYC 7232P EPYC 7282 EPYC 7532 EPYC 7642 EPYC 7552 EPYC 7662 EPYC 7302P EPYC 7452 EPYC 7702 EPYC 7502 EPYC 7502P EPYC 7402P EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 9 18 27 36 45 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.08, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 38.10 37.57 37.34 37.26 37.25 36.76 36.72 36.55 36.35 36.21 36.08 36.04 35.88 35.87 35.73 35.36 35.30 32.58 30.84 30.81
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Reflect EPYC 7352 EPYC 7252 EPYC 7272 EPYC 7232P EPYC 7282 EPYC 7532 EPYC 7642 EPYC 7552 EPYC 7662 EPYC 7302P EPYC 7452 EPYC 7702 EPYC 7502 EPYC 7502P EPYC 7402P EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 8 16 24 32 40 Min: 38.01 / Avg: 38.1 / Max: 38.19 Min: 37.54 / Avg: 37.57 / Max: 37.63 Min: 37.23 / Avg: 37.34 / Max: 37.4 Min: 37.17 / Avg: 37.26 / Max: 37.37 Min: 37.19 / Avg: 37.25 / Max: 37.29 Min: 36.7 / Avg: 36.76 / Max: 36.82 Min: 36.67 / Avg: 36.72 / Max: 36.78 Min: 36.5 / Avg: 36.55 / Max: 36.58 Min: 36.31 / Avg: 36.35 / Max: 36.39 Min: 36.18 / Avg: 36.21 / Max: 36.23 Min: 36.04 / Avg: 36.08 / Max: 36.11 Min: 35.94 / Avg: 36.04 / Max: 36.21 Min: 35.84 / Avg: 35.88 / Max: 35.91 Min: 35.87 / Avg: 35.87 / Max: 35.88 Min: 35.7 / Avg: 35.73 / Max: 35.77 Min: 35.24 / Avg: 35.36 / Max: 35.49 Min: 35.24 / Avg: 35.3 / Max: 35.4 Min: 32.58 / Avg: 32.58 / Max: 32.59 Min: 30.81 / Avg: 30.84 / Max: 30.86 Min: 30.77 / Avg: 30.81 / Max: 30.87
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 7252 EPYC 7262 EPYC 7232P EPYC 7302P EPYC 7532 EPYC 7352 EPYC 7272 EPYC 7662 EPYC 7452 EPYC 7282 EPYC 7402P EPYC 7F52 EPYC 7642 EPYC 7F32 EPYC 7502 EPYC 7502P EPYC 7552 EPYC 7702 EPYC 7542 EPYC 7F72 700 1400 2100 2800 3500 SE +/- 11.61, N = 3 SE +/- 11.58, N = 3 SE +/- 36.77, N = 3 SE +/- 17.23, N = 3 SE +/- 38.78, N = 3 SE +/- 20.43, N = 3 SE +/- 41.46, N = 3 SE +/- 18.09, N = 3 SE +/- 36.94, N = 3 SE +/- 9.25, N = 3 SE +/- 3.04, N = 3 SE +/- 12.55, N = 3 SE +/- 16.57, N = 3 SE +/- 5.57, N = 3 SE +/- 16.12, N = 3 SE +/- 36.68, N = 3 SE +/- 31.43, N = 3 SE +/- 19.93, N = 3 SE +/- 22.48, N = 3 SE +/- 44.73, N = 3 2638 2666 2706 2821 2870 2958 2959 2993 3007 3010 3017 3025 3037 3060 3064 3086 3089 3118 3136 3262 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 7252 EPYC 7262 EPYC 7232P EPYC 7302P EPYC 7532 EPYC 7352 EPYC 7272 EPYC 7662 EPYC 7452 EPYC 7282 EPYC 7402P EPYC 7F52 EPYC 7642 EPYC 7F32 EPYC 7502 EPYC 7502P EPYC 7552 EPYC 7702 EPYC 7542 EPYC 7F72 600 1200 1800 2400 3000 Min: 2624.07 / Avg: 2637.91 / Max: 2660.98 Min: 2642.62 / Avg: 2665.73 / Max: 2678.58 Min: 2653.24 / Avg: 2706.36 / Max: 2776.95 Min: 2797.47 / Avg: 2821.48 / Max: 2854.9 Min: 2816.65 / Avg: 2869.87 / Max: 2945.34 Min: 2927.75 / Avg: 2958.16 / Max: 2996.99 Min: 2880.76 / Avg: 2959.07 / Max: 3021.81 Min: 2957.29 / Avg: 2992.6 / Max: 3017.08 Min: 2961.68 / Avg: 3007.13 / Max: 3080.29 Min: 2992.58 / Avg: 3010.35 / Max: 3023.7 Min: 3013.25 / Avg: 3017.3 / Max: 3023.25 Min: 3001.96 / Avg: 3025.16 / Max: 3045.07 Min: 3005.01 / Avg: 3037.11 / Max: 3060.32 Min: 3050.34 / Avg: 3060.33 / Max: 3069.58 Min: 3033.37 / Avg: 3063.79 / Max: 3088.28 Min: 3012.63 / Avg: 3085.97 / Max: 3124.23 Min: 3030.41 / Avg: 3088.86 / Max: 3138.1 Min: 3081.23 / Avg: 3117.96 / Max: 3149.71 Min: 3091.94 / Avg: 3135.97 / Max: 3165.84 Min: 3176.93 / Avg: 3261.79 / Max: 3328.76 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 7352 EPYC 7232P EPYC 7252 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7642 EPYC 7532 EPYC 7662 EPYC 7552 EPYC 7702 EPYC 7502 EPYC 7502P EPYC 7452 EPYC 7402P EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 70 140 210 280 350 SE +/- 0.46, N = 3 SE +/- 0.16, N = 3 SE +/- 0.06, N = 3 SE +/- 0.13, N = 3 SE +/- 0.05, N = 3 SE +/- 0.29, N = 3 SE +/- 0.12, N = 3 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.11, N = 3 SE +/- 0.17, N = 3 SE +/- 0.08, N = 3 SE +/- 0.14, N = 3 SE +/- 0.14, N = 3 SE +/- 0.05, N = 3 SE +/- 0.18, N = 3 SE +/- 0.20, N = 3 SE +/- 0.09, N = 3 SE +/- 0.20, N = 3 323.49 319.96 319.57 319.16 317.09 309.77 309.42 308.21 308.03 307.88 304.61 304.54 303.53 303.50 303.36 302.08 299.07 276.20 262.37 261.64 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 7352 EPYC 7232P EPYC 7252 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7642 EPYC 7532 EPYC 7662 EPYC 7552 EPYC 7702 EPYC 7502 EPYC 7502P EPYC 7452 EPYC 7402P EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 60 120 180 240 300 Min: 322.66 / Avg: 323.49 / Max: 324.24 Min: 319.64 / Avg: 319.96 / Max: 320.15 Min: 319.47 / Avg: 319.57 / Max: 319.68 Min: 318.9 / Avg: 319.16 / Max: 319.3 Min: 317.03 / Avg: 317.09 / Max: 317.19 Min: 309.24 / Avg: 309.77 / Max: 310.24 Min: 309.2 / Avg: 309.42 / Max: 309.6 Min: 308.08 / Avg: 308.21 / Max: 308.37 Min: 307.98 / Avg: 308.03 / Max: 308.08 Min: 307.77 / Avg: 307.88 / Max: 307.95 Min: 304.4 / Avg: 304.61 / Max: 304.79 Min: 304.21 / Avg: 304.53 / Max: 304.8 Min: 303.41 / Avg: 303.53 / Max: 303.69 Min: 303.26 / Avg: 303.5 / Max: 303.75 Min: 303.21 / Avg: 303.36 / Max: 303.64 Min: 301.98 / Avg: 302.08 / Max: 302.14 Min: 298.75 / Avg: 299.07 / Max: 299.36 Min: 275.8 / Avg: 276.2 / Max: 276.46 Min: 262.2 / Avg: 262.37 / Max: 262.49 Min: 261.36 / Avg: 261.64 / Max: 262.03 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 7352 EPYC 7252 EPYC 7272 EPYC 7232P EPYC 7282 EPYC 7532 EPYC 7662 EPYC 7302P EPYC 7642 EPYC 7552 EPYC 7502 EPYC 7262 EPYC 7702 EPYC 7402P EPYC 7502P EPYC 7452 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 11 22 33 44 55 SE +/- 0.10, N = 3 SE +/- 0.00, N = 3 SE +/- 0.19, N = 3 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.30, N = 3 SE +/- 0.43, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.21, N = 3 SE +/- 0.24, N = 3 SE +/- 0.03, N = 3 SE +/- 0.14, N = 3 SE +/- 0.09, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 47.97 47.42 47.41 47.30 46.98 46.11 45.93 45.62 45.56 45.45 45.11 45.08 45.01 44.95 44.94 44.84 44.14 40.71 39.10 38.80
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Gzip Compression Linux Source Tree Archiving To .tar.gz EPYC 7352 EPYC 7252 EPYC 7272 EPYC 7232P EPYC 7282 EPYC 7532 EPYC 7662 EPYC 7302P EPYC 7642 EPYC 7552 EPYC 7502 EPYC 7262 EPYC 7702 EPYC 7402P EPYC 7502P EPYC 7452 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 10 20 30 40 50 Min: 47.77 / Avg: 47.97 / Max: 48.12 Min: 47.41 / Avg: 47.42 / Max: 47.42 Min: 47.21 / Avg: 47.41 / Max: 47.78 Min: 47.19 / Avg: 47.29 / Max: 47.44 Min: 46.93 / Avg: 46.98 / Max: 47.07 Min: 45.76 / Avg: 46.11 / Max: 46.71 Min: 45.48 / Avg: 45.93 / Max: 46.79 Min: 45.57 / Avg: 45.62 / Max: 45.67 Min: 45.47 / Avg: 45.56 / Max: 45.61 Min: 45.42 / Avg: 45.45 / Max: 45.48 Min: 44.78 / Avg: 45.11 / Max: 45.5 Min: 44.81 / Avg: 45.08 / Max: 45.57 Min: 44.96 / Avg: 45.01 / Max: 45.06 Min: 44.81 / Avg: 44.95 / Max: 45.23 Min: 44.84 / Avg: 44.94 / Max: 45.13 Min: 44.8 / Avg: 44.84 / Max: 44.87 Min: 44.09 / Avg: 44.14 / Max: 44.19 Min: 40.65 / Avg: 40.71 / Max: 40.77 Min: 39.01 / Avg: 39.1 / Max: 39.15 Min: 38.78 / Avg: 38.8 / Max: 38.81
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 7352 EPYC 7252 EPYC 7272 EPYC 7282 EPYC 7232P EPYC 7662 EPYC 7302P EPYC 7642 EPYC 7532 EPYC 7552 EPYC 7702 EPYC 7502 EPYC 7502P EPYC 7452 EPYC 7402P EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F52 EPYC 7F32 20 40 60 80 100 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, 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 +/- 1.32, N = 3 SE +/- 0.09, N = 3 70.48 71.45 71.59 71.71 71.80 74.00 74.02 74.02 74.03 74.05 74.80 75.07 75.12 75.14 75.14 76.25 76.29 82.98 86.15 87.13 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 7352 EPYC 7252 EPYC 7272 EPYC 7282 EPYC 7232P EPYC 7662 EPYC 7302P EPYC 7642 EPYC 7532 EPYC 7552 EPYC 7702 EPYC 7502 EPYC 7502P EPYC 7452 EPYC 7402P EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F52 EPYC 7F32 20 40 60 80 100 Min: 70.4 / Avg: 70.48 / Max: 70.61 Min: 71.36 / Avg: 71.45 / Max: 71.51 Min: 71.58 / Avg: 71.59 / Max: 71.61 Min: 71.68 / Avg: 71.71 / Max: 71.77 Min: 71.8 / Avg: 71.8 / Max: 71.81 Min: 73.98 / Avg: 74 / Max: 74.02 Min: 74.01 / Avg: 74.02 / Max: 74.02 Min: 74.01 / Avg: 74.02 / Max: 74.04 Min: 73.99 / Avg: 74.03 / Max: 74.05 Min: 74.04 / Avg: 74.05 / Max: 74.09 Min: 74.73 / Avg: 74.8 / Max: 74.9 Min: 75.03 / Avg: 75.07 / Max: 75.13 Min: 75.06 / Avg: 75.12 / Max: 75.17 Min: 75.11 / Avg: 75.14 / Max: 75.16 Min: 75.12 / Avg: 75.14 / Max: 75.16 Min: 76.22 / Avg: 76.25 / Max: 76.3 Min: 76.28 / Avg: 76.29 / Max: 76.31 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 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 7352 EPYC 7252 EPYC 7232P EPYC 7272 EPYC 7282 EPYC 7642 EPYC 7662 EPYC 7532 EPYC 7302P EPYC 7552 EPYC 7452 EPYC 7702 EPYC 7502 EPYC 7402P EPYC 7502P EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F52 EPYC 7F32 70M 140M 210M 280M 350M SE +/- 159242.75, N = 3 SE +/- 3346394.39, N = 3 SE +/- 656575.68, N = 3 SE +/- 168177.47, N = 3 SE +/- 178481.76, N = 3 SE +/- 326600.42, N = 3 SE +/- 128106.17, N = 3 SE +/- 208309.65, N = 3 SE +/- 122611.09, N = 3 SE +/- 149246.40, N = 3 SE +/- 3735800.36, N = 3 SE +/- 259915.46, N = 3 SE +/- 19204.56, N = 3 SE +/- 115844.25, N = 3 SE +/- 249228.70, N = 3 SE +/- 135788.68, N = 3 SE +/- 606796.66, N = 3 SE +/- 474278.12, N = 3 SE +/- 134083.43, N = 3 SE +/- 957923.37, N = 3 274090977.81 274235020.34 276849835.77 278208760.91 278269504.20 286220634.19 286590944.39 287157431.51 287328501.00 287471325.10 288397184.91 291064294.15 291131291.45 291468543.97 291736111.66 295319267.70 295999448.27 321630965.00 338580247.88 338683643.76 1. (CC) gcc options: -O3 -march=native -lm
Result Confidence
OpenBenchmarking.org QUIPs, More Is Better Hierarchical INTegration 1.0 Test: FLOAT EPYC 7352 EPYC 7252 EPYC 7232P EPYC 7272 EPYC 7282 EPYC 7642 EPYC 7662 EPYC 7532 EPYC 7302P EPYC 7552 EPYC 7452 EPYC 7702 EPYC 7502 EPYC 7402P EPYC 7502P EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F52 EPYC 7F32 60M 120M 180M 240M 300M Min: 273773069.3 / Avg: 274090977.81 / Max: 274266527.11 Min: 267542253.13 / Avg: 274235020.34 / Max: 277596120.27 Min: 275537498.15 / Avg: 276849835.77 / Max: 277546034 Min: 277993425.1 / Avg: 278208760.91 / Max: 278540200.69 Min: 277913646.4 / Avg: 278269504.2 / Max: 278471746.39 Min: 285672800.09 / Avg: 286220634.19 / Max: 286802628.92 Min: 286355086.15 / Avg: 286590944.39 / Max: 286795543.79 Min: 286871915.18 / Avg: 287157431.51 / Max: 287562942.5 Min: 287105172.58 / Avg: 287328501 / Max: 287527879.24 Min: 287202473.29 / Avg: 287471325.1 / Max: 287718056.37 Min: 280926056.63 / Avg: 288397184.91 / Max: 292205513 Min: 290575870.86 / Avg: 291064294.15 / Max: 291462616.67 Min: 291097868.07 / Avg: 291131291.45 / Max: 291164392.26 Min: 291286695.38 / Avg: 291468543.97 / Max: 291683798.43 Min: 291245765.71 / Avg: 291736111.66 / Max: 292058844.08 Min: 295083179.89 / Avg: 295319267.7 / Max: 295553555.36 Min: 294785978.57 / Avg: 295999448.27 / Max: 296621183.85 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 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 7352 EPYC 7252 EPYC 7272 EPYC 7282 EPYC 7232P EPYC 7532 EPYC 7302P EPYC 7662 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 40 80 120 160 200 SE +/- 0.12, N = 3 SE +/- 0.22, N = 3 SE +/- 0.14, N = 3 SE +/- 0.13, N = 3 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 SE +/- 0.14, N = 3 SE +/- 0.10, N = 3 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.27, N = 3 SE +/- 0.16, N = 3 SE +/- 0.15, N = 3 SE +/- 0.06, N = 3 SE +/- 0.12, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.16, N = 3 SE +/- 0.06, N = 3 160.53 161.77 162.52 163.10 163.28 167.80 168.05 168.10 168.19 168.31 170.25 170.56 170.62 170.68 170.79 171.97 173.39 188.50 197.43 198.33 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 7352 EPYC 7252 EPYC 7272 EPYC 7282 EPYC 7232P EPYC 7532 EPYC 7302P EPYC 7662 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 40 80 120 160 200 Min: 160.29 / Avg: 160.53 / Max: 160.67 Min: 161.41 / Avg: 161.77 / Max: 162.17 Min: 162.36 / Avg: 162.52 / Max: 162.8 Min: 162.9 / Avg: 163.1 / Max: 163.34 Min: 163.24 / Avg: 163.28 / Max: 163.35 Min: 167.71 / Avg: 167.8 / Max: 167.95 Min: 167.79 / Avg: 168.05 / Max: 168.26 Min: 167.92 / Avg: 168.1 / Max: 168.25 Min: 168.03 / Avg: 168.19 / Max: 168.29 Min: 168.27 / Avg: 168.31 / Max: 168.36 Min: 170.14 / Avg: 170.25 / Max: 170.31 Min: 170.01 / Avg: 170.56 / Max: 170.85 Min: 170.44 / Avg: 170.62 / Max: 170.93 Min: 170.38 / Avg: 170.68 / Max: 170.86 Min: 170.66 / Avg: 170.79 / Max: 170.86 Min: 171.84 / Avg: 171.97 / Max: 172.21 Min: 173.33 / Avg: 173.39 / Max: 173.45 Min: 188.45 / Avg: 188.5 / Max: 188.55 Min: 197.12 / Avg: 197.43 / Max: 197.67 Min: 198.25 / Avg: 198.33 / Max: 198.45 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 7252 EPYC 7262 EPYC 7232P EPYC 7302P EPYC 7532 EPYC 7352 EPYC 7272 EPYC 7662 EPYC 7452 EPYC 7402P EPYC 7282 EPYC 7F52 EPYC 7642 EPYC 7F32 EPYC 7502 EPYC 7552 EPYC 7502P EPYC 7702 EPYC 7542 EPYC 7F72 0.0853 0.1706 0.2559 0.3412 0.4265 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 SE +/- 0.005, N = 3 SE +/- 0.002, N = 3 SE +/- 0.004, N = 3 SE +/- 0.002, N = 3 SE +/- 0.005, N = 3 SE +/- 0.002, N = 3 SE +/- 0.004, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, 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 +/- 0.004, N = 3 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 SE +/- 0.004, N = 3 0.379 0.375 0.370 0.355 0.349 0.338 0.338 0.334 0.333 0.332 0.332 0.330 0.329 0.327 0.327 0.324 0.324 0.321 0.319 0.307 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 7252 EPYC 7262 EPYC 7232P EPYC 7302P EPYC 7532 EPYC 7352 EPYC 7272 EPYC 7662 EPYC 7452 EPYC 7402P EPYC 7282 EPYC 7F52 EPYC 7642 EPYC 7F32 EPYC 7502 EPYC 7552 EPYC 7502P EPYC 7702 EPYC 7542 EPYC 7F72 1 2 3 4 5 Min: 0.38 / Avg: 0.38 / Max: 0.38 Min: 0.37 / Avg: 0.38 / Max: 0.38 Min: 0.36 / Avg: 0.37 / Max: 0.38 Min: 0.35 / Avg: 0.35 / Max: 0.36 Min: 0.34 / Avg: 0.35 / Max: 0.36 Min: 0.33 / Avg: 0.34 / Max: 0.34 Min: 0.33 / Avg: 0.34 / Max: 0.35 Min: 0.33 / Avg: 0.33 / Max: 0.34 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 Min: 0.33 / Avg: 0.33 / Max: 0.33 Min: 0.33 / Avg: 0.33 / Max: 0.33 Min: 0.33 / Avg: 0.33 / Max: 0.33 Min: 0.32 / Avg: 0.33 / Max: 0.33 Min: 0.32 / Avg: 0.32 / Max: 0.33 Min: 0.32 / Avg: 0.32 / Max: 0.33 Min: 0.32 / Avg: 0.32 / Max: 0.33 Min: 0.32 / Avg: 0.32 / Max: 0.32 Min: 0.3 / Avg: 0.31 / Max: 0.32 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 7352 EPYC 7532 EPYC 7252 EPYC 7232P EPYC 7272 EPYC 7282 EPYC 7642 EPYC 7662 EPYC 7552 EPYC 7302P EPYC 7702 EPYC 7452 EPYC 7402P EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7262 EPYC 7F72 EPYC 7F32 EPYC 7F52 150 300 450 600 750 SE +/- 0.15, N = 3 SE +/- 3.52, N = 3 SE +/- 0.09, N = 3 SE +/- 0.14, N = 3 SE +/- 1.26, N = 3 SE +/- 0.78, N = 3 SE +/- 0.44, N = 3 SE +/- 0.32, N = 3 SE +/- 0.47, N = 3 SE +/- 0.11, N = 3 SE +/- 0.10, N = 3 SE +/- 0.76, N = 3 SE +/- 0.24, N = 3 SE +/- 0.30, N = 3 SE +/- 0.28, N = 3 SE +/- 0.93, N = 3 SE +/- 0.09, N = 3 SE +/- 0.11, N = 3 SE +/- 0.94, N = 3 SE +/- 0.07, N = 3 576.35 576.87 580.57 582.51 584.53 585.04 602.54 602.90 603.18 603.65 610.69 612.90 612.93 613.09 613.29 621.71 622.28 676.60 708.70 711.31 1. (CC) gcc options: -lm
Result Confidence
OpenBenchmarking.org Mflops, More Is Better SciMark 2.0 Computational Test: Sparse Matrix Multiply EPYC 7352 EPYC 7532 EPYC 7252 EPYC 7232P EPYC 7272 EPYC 7282 EPYC 7642 EPYC 7662 EPYC 7552 EPYC 7302P EPYC 7702 EPYC 7452 EPYC 7402P EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7262 EPYC 7F72 EPYC 7F32 EPYC 7F52 130 260 390 520 650 Min: 576.11 / Avg: 576.35 / Max: 576.62 Min: 573.33 / Avg: 576.87 / Max: 583.91 Min: 580.44 / Avg: 580.57 / Max: 580.73 Min: 582.29 / Avg: 582.51 / Max: 582.76 Min: 582.04 / Avg: 584.53 / Max: 586.08 Min: 583.83 / Avg: 585.04 / Max: 586.49 Min: 601.67 / Avg: 602.54 / Max: 603.13 Min: 602.3 / Avg: 602.9 / Max: 603.4 Min: 602.29 / Avg: 603.18 / Max: 603.86 Min: 603.44 / Avg: 603.65 / Max: 603.83 Min: 610.52 / Avg: 610.69 / Max: 610.88 Min: 611.4 / Avg: 612.9 / Max: 613.87 Min: 612.59 / Avg: 612.93 / Max: 613.4 Min: 612.5 / Avg: 613.09 / Max: 613.41 Min: 612.75 / Avg: 613.29 / Max: 613.69 Min: 619.97 / Avg: 621.71 / Max: 623.15 Min: 622.1 / Avg: 622.28 / Max: 622.38 Min: 676.4 / Avg: 676.6 / Max: 676.79 Min: 706.98 / Avg: 708.7 / Max: 710.23 Min: 711.2 / Avg: 711.31 / Max: 711.44 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 7352 EPYC 7232P EPYC 7252 EPYC 7272 EPYC 7282 EPYC 7642 EPYC 7532 EPYC 7302P EPYC 7662 EPYC 7552 EPYC 7702 EPYC 7502 EPYC 7502P EPYC 7452 EPYC 7402P EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F52 EPYC 7F32 300 600 900 1200 1500 SE +/- 0.67, N = 3 SE +/- 1.00, N = 3 SE +/- 1.20, N = 3 SE +/- 2.60, N = 3 SE +/- 2.19, N = 3 SE +/- 0.58, N = 3 SE +/- 0.67, N = 3 SE +/- 2.73, N = 3 SE +/- 1.76, N = 3 SE +/- 2.40, N = 3 SE +/- 1.20, N = 3 SE +/- 2.19, N = 3 SE +/- 2.60, N = 3 SE +/- 1.53, N = 3 SE +/- 2.33, N = 3 SE +/- 2.03, N = 3 1263 1255 1252 1249 1245 1212 1212 1211 1210 1207 1196 1194 1192 1192 1185 1182 1179 1083 1024 1024
Result Confidence
OpenBenchmarking.org Milliseconds, Fewer Is Better PyBench 2018-02-16 Total For Average Test Times EPYC 7352 EPYC 7232P EPYC 7252 EPYC 7272 EPYC 7282 EPYC 7642 EPYC 7532 EPYC 7302P EPYC 7662 EPYC 7552 EPYC 7702 EPYC 7502 EPYC 7502P EPYC 7452 EPYC 7402P EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F52 EPYC 7F32 200 400 600 800 1000 Min: 1262 / Avg: 1263.33 / Max: 1264 Min: 1254 / Avg: 1255 / Max: 1257 Min: 1250 / Avg: 1252.33 / Max: 1254 Min: 1244 / Avg: 1248.67 / Max: 1253 Min: 1242 / Avg: 1244.67 / Max: 1249 Min: 1211 / Avg: 1212 / Max: 1213 Min: 1211 / Avg: 1211.67 / Max: 1213 Min: 1205 / Avg: 1210.33 / Max: 1214 Min: 1204 / Avg: 1207.33 / Max: 1210 Min: 1191 / Avg: 1195.67 / Max: 1199 Min: 1192 / Avg: 1193.67 / Max: 1196 Min: 1181 / Avg: 1185.33 / Max: 1188 Min: 1177 / Avg: 1181.67 / Max: 1186 Min: 1080 / Avg: 1083 / Max: 1085 Min: 1020 / Avg: 1023.67 / Max: 1028 Min: 1021 / Avg: 1024.33 / Max: 1028
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 7252 EPYC 7352 EPYC 7262 EPYC 7272 EPYC 7532 EPYC 7232P EPYC 7282 EPYC 7702 EPYC 7662 EPYC 7552 EPYC 7642 EPYC 7302P EPYC 7452 EPYC 7402P EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 200 400 600 800 1000 SE +/- 0.67, N = 3 SE +/- 2.85, N = 3 SE +/- 1.33, N = 3 SE +/- 0.28, N = 3 SE +/- 1.54, N = 3 SE +/- 3.36, N = 3 SE +/- 0.25, N = 3 SE +/- 3.48, N = 3 SE +/- 2.73, N = 3 SE +/- 0.94, N = 3 SE +/- 1.39, N = 3 SE +/- 0.46, N = 3 SE +/- 1.78, N = 3 SE +/- 0.68, N = 3 SE +/- 2.47, N = 3 SE +/- 1.08, N = 3 SE +/- 3.24, N = 3 SE +/- 5.55, N = 3 SE +/- 3.65, N = 3 SE +/- 2.32, N = 3 775.92 796.41 796.55 798.82 817.76 835.61 842.39 843.29 856.44 863.06 866.72 867.20 871.26 872.05 872.06 873.70 881.28 905.21 906.95 956.94 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 7252 EPYC 7352 EPYC 7262 EPYC 7272 EPYC 7532 EPYC 7232P EPYC 7282 EPYC 7702 EPYC 7662 EPYC 7552 EPYC 7642 EPYC 7302P EPYC 7452 EPYC 7402P EPYC 7502 EPYC 7502P EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 200 400 600 800 1000 Min: 774.9 / Avg: 775.92 / Max: 777.17 Min: 793.11 / Avg: 796.41 / Max: 802.09 Min: 794.25 / Avg: 796.55 / Max: 798.86 Min: 798.48 / Avg: 798.82 / Max: 799.37 Min: 814.69 / Avg: 817.76 / Max: 819.32 Min: 828.89 / Avg: 835.61 / Max: 839 Min: 842.05 / Avg: 842.39 / Max: 842.88 Min: 836.42 / Avg: 843.29 / Max: 847.7 Min: 853.7 / Avg: 856.44 / Max: 861.91 Min: 861.65 / Avg: 863.06 / Max: 864.84 Min: 864.02 / Avg: 866.72 / Max: 868.63 Min: 866.31 / Avg: 867.2 / Max: 867.82 Min: 867.71 / Avg: 871.26 / Max: 873.17 Min: 870.95 / Avg: 872.05 / Max: 873.3 Min: 867.84 / Avg: 872.06 / Max: 876.41 Min: 871.55 / Avg: 873.7 / Max: 874.99 Min: 875.93 / Avg: 881.28 / Max: 887.13 Min: 896.41 / Avg: 905.21 / Max: 915.46 Min: 900.97 / Avg: 906.95 / Max: 913.57 Min: 954.35 / Avg: 956.94 / Max: 961.56 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 7352 EPYC 7252 EPYC 7272 EPYC 7232P EPYC 7282 EPYC 7662 EPYC 7642 EPYC 7532 EPYC 7552 EPYC 7302P EPYC 7702 EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7402P EPYC 7F72 EPYC 7262 EPYC 7542 EPYC 7F32 EPYC 7F52 0.6809 1.3618 2.0427 2.7236 3.4045 SE +/- 0.017, N = 3 SE +/- 0.004, N = 3 SE +/- 0.007, N = 3 SE +/- 0.004, N = 3 SE +/- 0.002, N = 3 SE +/- 0.003, N = 3 SE +/- 0.005, N = 3 SE +/- 0.004, N = 3 SE +/- 0.004, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.006, 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 +/- 0.007, N = 3 3.026 3.004 2.984 2.971 2.967 2.895 2.893 2.890 2.884 2.874 2.858 2.841 2.839 2.836 2.836 2.828 2.801 2.799 2.456 2.454 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 7352 EPYC 7252 EPYC 7272 EPYC 7232P EPYC 7282 EPYC 7662 EPYC 7642 EPYC 7532 EPYC 7552 EPYC 7302P EPYC 7702 EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7402P EPYC 7F72 EPYC 7262 EPYC 7542 EPYC 7F32 EPYC 7F52 2 4 6 8 10 Min: 3.01 / Avg: 3.03 / Max: 3.06 Min: 3 / Avg: 3 / Max: 3.01 Min: 2.97 / Avg: 2.98 / Max: 2.99 Min: 2.96 / Avg: 2.97 / Max: 2.98 Min: 2.97 / Avg: 2.97 / Max: 2.97 Min: 2.89 / Avg: 2.9 / Max: 2.9 Min: 2.89 / Avg: 2.89 / Max: 2.9 Min: 2.88 / Avg: 2.89 / Max: 2.89 Min: 2.88 / Avg: 2.88 / Max: 2.89 Min: 2.87 / Avg: 2.87 / Max: 2.88 Min: 2.86 / Avg: 2.86 / Max: 2.86 Min: 2.84 / Avg: 2.84 / Max: 2.84 Min: 2.83 / Avg: 2.84 / Max: 2.85 Min: 2.83 / Avg: 2.84 / Max: 2.84 Min: 2.84 / Avg: 2.84 / Max: 2.84 Min: 2.83 / Avg: 2.83 / Max: 2.83 Min: 2.8 / Avg: 2.8 / Max: 2.8 Min: 2.8 / Avg: 2.8 / Max: 2.8 Min: 2.45 / Avg: 2.46 / Max: 2.46 Min: 2.45 / Avg: 2.45 / Max: 2.47 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 7352 EPYC 7252 EPYC 7272 EPYC 7232P EPYC 7282 EPYC 7662 EPYC 7532 EPYC 7642 EPYC 7302P EPYC 7552 EPYC 7702 EPYC 7452 EPYC 7402P EPYC 7502 EPYC 7502P EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 3 6 9 12 15 SE +/- 0.006, N = 5 SE +/- 0.016, N = 5 SE +/- 0.007, N = 5 SE +/- 0.003, N = 5 SE +/- 0.006, N = 5 SE +/- 0.009, N = 5 SE +/- 0.014, N = 5 SE +/- 0.008, N = 5 SE +/- 0.007, N = 5 SE +/- 0.003, N = 5 SE +/- 0.016, N = 5 SE +/- 0.009, N = 5 SE +/- 0.012, N = 5 SE +/- 0.009, N = 5 SE +/- 0.009, N = 5 SE +/- 0.004, N = 5 SE +/- 0.012, N = 5 SE +/- 0.018, N = 5 SE +/- 0.009, N = 5 SE +/- 0.012, N = 5 10.490 10.419 10.418 10.307 10.303 10.058 10.051 10.026 10.025 10.008 9.931 9.927 9.899 9.895 9.890 9.844 9.736 8.997 8.569 8.515 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 7352 EPYC 7252 EPYC 7272 EPYC 7232P EPYC 7282 EPYC 7662 EPYC 7532 EPYC 7642 EPYC 7302P EPYC 7552 EPYC 7702 EPYC 7452 EPYC 7402P EPYC 7502 EPYC 7502P EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 3 6 9 12 15 Min: 10.47 / Avg: 10.49 / Max: 10.5 Min: 10.37 / Avg: 10.42 / Max: 10.46 Min: 10.4 / Avg: 10.42 / Max: 10.44 Min: 10.3 / Avg: 10.31 / Max: 10.32 Min: 10.29 / Avg: 10.3 / Max: 10.33 Min: 10.03 / Avg: 10.06 / Max: 10.08 Min: 10.01 / Avg: 10.05 / Max: 10.09 Min: 10 / Avg: 10.03 / Max: 10.05 Min: 10.01 / Avg: 10.02 / Max: 10.05 Min: 10 / Avg: 10.01 / Max: 10.02 Min: 9.88 / Avg: 9.93 / Max: 9.97 Min: 9.91 / Avg: 9.93 / Max: 9.95 Min: 9.88 / Avg: 9.9 / Max: 9.94 Min: 9.87 / Avg: 9.9 / Max: 9.92 Min: 9.87 / Avg: 9.89 / Max: 9.92 Min: 9.83 / Avg: 9.84 / Max: 9.86 Min: 9.71 / Avg: 9.74 / Max: 9.76 Min: 8.95 / Avg: 9 / Max: 9.05 Min: 8.55 / Avg: 8.57 / Max: 8.59 Min: 8.49 / Avg: 8.51 / Max: 8.55 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 7352 EPYC 7252 EPYC 7272 EPYC 7232P EPYC 7282 EPYC 7662 EPYC 7532 EPYC 7302P EPYC 7642 EPYC 7552 EPYC 7452 EPYC 7502 EPYC 7702 EPYC 7502P EPYC 7402P EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 9 18 27 36 45 SE +/- 0.08, N = 4 SE +/- 0.05, N = 4 SE +/- 0.09, N = 4 SE +/- 0.13, N = 4 SE +/- 0.06, N = 4 SE +/- 0.15, N = 4 SE +/- 0.11, N = 4 SE +/- 0.13, N = 4 SE +/- 0.09, N = 4 SE +/- 0.09, N = 4 SE +/- 0.15, N = 4 SE +/- 0.10, N = 4 SE +/- 0.06, N = 4 SE +/- 0.11, N = 4 SE +/- 0.11, N = 4 SE +/- 0.10, N = 4 SE +/- 0.12, N = 4 SE +/- 0.12, N = 4 SE +/- 0.06, N = 4 SE +/- 0.08, N = 4 38.19 37.97 37.87 37.62 37.56 36.59 36.58 36.50 36.48 36.45 36.10 36.03 36.01 35.97 35.88 35.80 35.45 32.59 31.46 31.18 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 7352 EPYC 7252 EPYC 7272 EPYC 7232P EPYC 7282 EPYC 7662 EPYC 7532 EPYC 7302P EPYC 7642 EPYC 7552 EPYC 7452 EPYC 7502 EPYC 7702 EPYC 7502P EPYC 7402P EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 8 16 24 32 40 Min: 38.05 / Avg: 38.19 / Max: 38.37 Min: 37.88 / Avg: 37.97 / Max: 38.09 Min: 37.67 / Avg: 37.87 / Max: 38.03 Min: 37.35 / Avg: 37.62 / Max: 37.93 Min: 37.4 / Avg: 37.56 / Max: 37.67 Min: 36.3 / Avg: 36.59 / Max: 36.97 Min: 36.34 / Avg: 36.58 / Max: 36.88 Min: 36.27 / Avg: 36.5 / Max: 36.74 Min: 36.26 / Avg: 36.48 / Max: 36.63 Min: 36.22 / Avg: 36.45 / Max: 36.64 Min: 35.7 / Avg: 36.1 / Max: 36.41 Min: 35.75 / Avg: 36.03 / Max: 36.23 Min: 35.87 / Avg: 36.01 / Max: 36.14 Min: 35.7 / Avg: 35.97 / Max: 36.23 Min: 35.69 / Avg: 35.88 / Max: 36.13 Min: 35.62 / Avg: 35.8 / Max: 36.03 Min: 35.15 / Avg: 35.45 / Max: 35.69 Min: 32.3 / Avg: 32.59 / Max: 32.85 Min: 31.29 / Avg: 31.46 / Max: 31.53 Min: 30.99 / Avg: 31.18 / Max: 31.36 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 7352 EPYC 7232P EPYC 7252 EPYC 7272 EPYC 7282 EPYC 7532 EPYC 7662 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7302P EPYC 7262 EPYC 7502P EPYC 7502 EPYC 7402P EPYC 7452 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 20 40 60 80 100 SE +/- 0.72, N = 3 SE +/- 0.19, N = 3 SE +/- 0.24, N = 3 SE +/- 0.20, N = 3 SE +/- 0.19, N = 3 SE +/- 0.18, N = 3 SE +/- 0.13, N = 3 SE +/- 0.12, N = 3 SE +/- 0.11, N = 3 SE +/- 0.42, N = 3 SE +/- 0.03, N = 3 SE +/- 0.15, N = 3 SE +/- 0.17, N = 3 SE +/- 0.13, N = 3 SE +/- 0.16, N = 3 SE +/- 0.21, N = 3 SE +/- 0.20, N = 3 SE +/- 0.56, N = 3 SE +/- 0.29, N = 3 SE +/- 0.11, N = 3 81.08 79.62 79.09 78.93 77.91 77.10 76.75 76.36 76.30 76.05 76.01 75.87 75.75 75.41 75.29 75.21 74.19 70.46 66.87 66.32 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 7352 EPYC 7232P EPYC 7252 EPYC 7272 EPYC 7282 EPYC 7532 EPYC 7662 EPYC 7552 EPYC 7642 EPYC 7702 EPYC 7302P EPYC 7262 EPYC 7502P EPYC 7502 EPYC 7402P EPYC 7452 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 15 30 45 60 75 Min: 79.79 / Avg: 81.08 / Max: 82.29 Min: 79.29 / Avg: 79.62 / Max: 79.94 Min: 78.84 / Avg: 79.09 / Max: 79.56 Min: 78.53 / Avg: 78.93 / Max: 79.21 Min: 77.55 / Avg: 77.91 / Max: 78.17 Min: 76.76 / Avg: 77.1 / Max: 77.4 Min: 76.49 / Avg: 76.75 / Max: 76.94 Min: 76.23 / Avg: 76.36 / Max: 76.6 Min: 76.13 / Avg: 76.3 / Max: 76.49 Min: 75.26 / Avg: 76.05 / Max: 76.72 Min: 75.96 / Avg: 76.01 / Max: 76.07 Min: 75.67 / Avg: 75.86 / Max: 76.15 Min: 75.53 / Avg: 75.75 / Max: 76.08 Min: 75.14 / Avg: 75.41 / Max: 75.56 Min: 75.01 / Avg: 75.29 / Max: 75.56 Min: 74.92 / Avg: 75.21 / Max: 75.61 Min: 73.93 / Avg: 74.19 / Max: 74.6 Min: 69.4 / Avg: 70.46 / Max: 71.3 Min: 66.42 / Avg: 66.87 / Max: 67.4 Min: 66.19 / Avg: 66.32 / Max: 66.53 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 7352 EPYC 7252 EPYC 7272 EPYC 7282 EPYC 7232P EPYC 7532 EPYC 7642 EPYC 7552 EPYC 7662 EPYC 7302P EPYC 7702 EPYC 7452 EPYC 7402P EPYC 7502 EPYC 7502P EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F52 EPYC 7F32 30 60 90 120 150 SE +/- 0.10, N = 3 SE +/- 0.08, N = 3 SE +/- 0.10, N = 3 SE +/- 0.17, N = 3 SE +/- 0.06, N = 3 SE +/- 0.15, N = 3 SE +/- 0.03, N = 3 SE +/- 0.13, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.15, N = 3 SE +/- 0.16, N = 3 SE +/- 0.08, N = 3 SE +/- 0.08, N = 3 SE +/- 0.09, N = 3 SE +/- 0.23, N = 3 SE +/- 0.06, N = 3 SE +/- 0.11, N = 3 SE +/- 0.06, N = 3 118.03 115.38 115.16 114.56 114.43 114.07 113.44 112.71 112.67 112.07 111.53 111.18 110.86 110.64 110.61 110.01 109.37 102.01 96.97 96.57
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Cartoon EPYC 7352 EPYC 7252 EPYC 7272 EPYC 7282 EPYC 7232P EPYC 7532 EPYC 7642 EPYC 7552 EPYC 7662 EPYC 7302P EPYC 7702 EPYC 7452 EPYC 7402P EPYC 7502 EPYC 7502P EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F52 EPYC 7F32 20 40 60 80 100 Min: 117.9 / Avg: 118.03 / Max: 118.22 Min: 115.28 / Avg: 115.38 / Max: 115.54 Min: 114.98 / Avg: 115.16 / Max: 115.31 Min: 114.37 / Avg: 114.56 / Max: 114.9 Min: 114.36 / Avg: 114.42 / Max: 114.54 Min: 113.78 / Avg: 114.07 / Max: 114.27 Min: 113.4 / Avg: 113.44 / Max: 113.5 Min: 112.44 / Avg: 112.71 / Max: 112.84 Min: 112.59 / Avg: 112.67 / Max: 112.75 Min: 112.01 / Avg: 112.07 / Max: 112.17 Min: 111.44 / Avg: 111.53 / Max: 111.59 Min: 111.02 / Avg: 111.18 / Max: 111.49 Min: 110.54 / Avg: 110.86 / Max: 111.04 Min: 110.55 / Avg: 110.64 / Max: 110.81 Min: 110.53 / Avg: 110.61 / Max: 110.77 Min: 109.92 / Avg: 110.01 / Max: 110.18 Min: 109.09 / Avg: 109.37 / Max: 109.82 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
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 7232P EPYC 7252 EPYC 7262 EPYC 7532 EPYC 7352 EPYC 7662 EPYC 7272 EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7302P EPYC 7282 EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7402P EPYC 7542 EPYC 7F32 EPYC 7F72 EPYC 7F52 3 6 9 12 15 SE +/- 0.098, N = 3 SE +/- 0.036, N = 3 SE +/- 0.035, N = 3 SE +/- 0.040, N = 3 SE +/- 0.052, N = 3 SE +/- 0.044, N = 3 SE +/- 0.061, N = 3 SE +/- 0.010, N = 3 SE +/- 0.026, N = 3 SE +/- 0.023, N = 3 SE +/- 0.060, N = 3 SE +/- 0.005, N = 3 SE +/- 0.030, N = 3 SE +/- 0.035, N = 3 SE +/- 0.049, N = 3 SE +/- 0.026, N = 3 SE +/- 0.060, N = 3 SE +/- 0.033, N = 3 SE +/- 0.101, N = 7 SE +/- 0.028, N = 3 11.050 10.853 10.680 10.581 10.544 10.428 10.346 10.338 10.293 10.242 10.153 10.078 10.039 9.986 9.919 9.912 9.737 9.165 9.131 9.044
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GIMP 2.10.18 Test: resize EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7532 EPYC 7352 EPYC 7662 EPYC 7272 EPYC 7642 EPYC 7552 EPYC 7702 EPYC 7302P EPYC 7282 EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7402P EPYC 7542 EPYC 7F32 EPYC 7F72 EPYC 7F52 3 6 9 12 15 Min: 10.91 / Avg: 11.05 / Max: 11.24 Min: 10.81 / Avg: 10.85 / Max: 10.93 Min: 10.62 / Avg: 10.68 / Max: 10.74 Min: 10.53 / Avg: 10.58 / Max: 10.66 Min: 10.49 / Avg: 10.54 / Max: 10.65 Min: 10.34 / Avg: 10.43 / Max: 10.48 Min: 10.26 / Avg: 10.35 / Max: 10.47 Min: 10.32 / Avg: 10.34 / Max: 10.35 Min: 10.24 / Avg: 10.29 / Max: 10.33 Min: 10.2 / Avg: 10.24 / Max: 10.27 Min: 10.06 / Avg: 10.15 / Max: 10.27 Min: 10.07 / Avg: 10.08 / Max: 10.09 Min: 10 / Avg: 10.04 / Max: 10.1 Min: 9.95 / Avg: 9.99 / Max: 10.06 Min: 9.83 / Avg: 9.92 / Max: 10 Min: 9.87 / Avg: 9.91 / Max: 9.96 Min: 9.65 / Avg: 9.74 / Max: 9.85 Min: 9.11 / Avg: 9.16 / Max: 9.22 Min: 8.99 / Avg: 9.13 / Max: 9.74 Min: 8.99 / Avg: 9.04 / Max: 9.07
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 7232P EPYC 7252 EPYC 7352 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7642 EPYC 7532 EPYC 7552 EPYC 7402P EPYC 7452 EPYC 7662 EPYC 7502 EPYC 7502P EPYC 7702 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 3 6 9 12 15 SE +/- 0.061, N = 3 SE +/- 0.053, N = 3 SE +/- 0.011, N = 3 SE +/- 0.170, N = 3 SE +/- 0.037, N = 3 SE +/- 0.013, N = 3 SE +/- 0.012, N = 3 SE +/- 0.186, N = 14 SE +/- 0.021, N = 3 SE +/- 0.022, N = 3 SE +/- 0.012, N = 3 SE +/- 0.024, N = 3 SE +/- 0.055, N = 3 SE +/- 0.035, N = 3 SE +/- 0.017, N = 3 SE +/- 0.010, N = 3 SE +/- 0.042, N = 3 SE +/- 0.019, N = 3 SE +/- 0.016, N = 3 SE +/- 0.150, N = 14 12.183 11.885 11.700 11.603 11.554 11.296 11.229 11.222 11.205 11.100 11.030 10.959 10.956 10.937 10.873 10.765 10.688 10.122 10.101 9.973
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Scikit-Learn 0.22.1 EPYC 7232P EPYC 7252 EPYC 7352 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7642 EPYC 7532 EPYC 7552 EPYC 7402P EPYC 7452 EPYC 7662 EPYC 7502 EPYC 7502P EPYC 7702 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 4 8 12 16 20 Min: 12.1 / Avg: 12.18 / Max: 12.3 Min: 11.78 / Avg: 11.88 / Max: 11.96 Min: 11.68 / Avg: 11.7 / Max: 11.72 Min: 11.42 / Avg: 11.6 / Max: 11.94 Min: 11.5 / Avg: 11.55 / Max: 11.62 Min: 11.28 / Avg: 11.3 / Max: 11.32 Min: 11.22 / Avg: 11.23 / Max: 11.25 Min: 10.92 / Avg: 11.22 / Max: 13.63 Min: 11.17 / Avg: 11.21 / Max: 11.24 Min: 11.06 / Avg: 11.1 / Max: 11.13 Min: 11.01 / Avg: 11.03 / Max: 11.05 Min: 10.93 / Avg: 10.96 / Max: 11.01 Min: 10.85 / Avg: 10.96 / Max: 11.03 Min: 10.87 / Avg: 10.94 / Max: 11 Min: 10.84 / Avg: 10.87 / Max: 10.89 Min: 10.75 / Avg: 10.77 / Max: 10.78 Min: 10.63 / Avg: 10.69 / Max: 10.77 Min: 10.09 / Avg: 10.12 / Max: 10.15 Min: 10.08 / Avg: 10.1 / Max: 10.13 Min: 9.75 / Avg: 9.97 / Max: 11.92
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 7232P EPYC 7352 EPYC 7252 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7662 EPYC 7642 EPYC 7532 EPYC 7552 EPYC 7502 EPYC 7402P EPYC 7702 EPYC 7452 EPYC 7262 EPYC 7502P EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 14 28 42 56 70 SE +/- 0.06, N = 3 SE +/- 0.08, N = 3 SE +/- 0.25, N = 3 SE +/- 0.09, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.12, N = 3 SE +/- 0.08, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.08, N = 3 SE +/- 0.11, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 64.55 64.22 63.31 63.00 62.97 61.77 61.64 61.60 61.53 61.21 60.73 60.60 60.56 60.52 60.39 60.30 59.68 55.37 53.05 52.99 1. git version 2.27.0
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Git Time To Complete Common Git Commands EPYC 7232P EPYC 7352 EPYC 7252 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7662 EPYC 7642 EPYC 7532 EPYC 7552 EPYC 7502 EPYC 7402P EPYC 7702 EPYC 7452 EPYC 7262 EPYC 7502P EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 13 26 39 52 65 Min: 64.46 / Avg: 64.55 / Max: 64.65 Min: 64.09 / Avg: 64.22 / Max: 64.35 Min: 63 / Avg: 63.31 / Max: 63.81 Min: 62.84 / Avg: 63 / Max: 63.14 Min: 62.89 / Avg: 62.97 / Max: 63.03 Min: 61.7 / Avg: 61.77 / Max: 61.88 Min: 61.63 / Avg: 61.64 / Max: 61.67 Min: 61.36 / Avg: 61.6 / Max: 61.77 Min: 61.41 / Avg: 61.53 / Max: 61.67 Min: 61.13 / Avg: 61.21 / Max: 61.26 Min: 60.63 / Avg: 60.73 / Max: 60.78 Min: 60.49 / Avg: 60.6 / Max: 60.69 Min: 60.52 / Avg: 60.56 / Max: 60.62 Min: 60.5 / Avg: 60.52 / Max: 60.55 Min: 60.34 / Avg: 60.39 / Max: 60.45 Min: 60.19 / Avg: 60.3 / Max: 60.4 Min: 59.54 / Avg: 59.68 / Max: 59.81 Min: 55.16 / Avg: 55.37 / Max: 55.55 Min: 53.01 / Avg: 53.05 / Max: 53.11 Min: 52.87 / Avg: 52.99 / Max: 53.12 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 7232P EPYC 7252 EPYC 7262 EPYC 7352 EPYC 7272 EPYC 7282 EPYC 7642 EPYC 7702 EPYC 7532 EPYC 7662 EPYC 7552 EPYC 7302P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7402P EPYC 7F32 EPYC 7542 EPYC 7F52 EPYC 7F72 14 28 42 56 70 SE +/- 0.25, N = 3 SE +/- 0.26, N = 3 SE +/- 0.06, N = 3 SE +/- 0.31, N = 3 SE +/- 0.21, N = 3 SE +/- 0.42, N = 3 SE +/- 0.41, N = 3 SE +/- 0.15, N = 3 SE +/- 0.38, N = 3 SE +/- 0.25, N = 3 SE +/- 0.14, N = 3 SE +/- 0.21, N = 3 SE +/- 0.32, N = 3 SE +/- 0.40, N = 3 SE +/- 0.24, N = 3 SE +/- 0.26, N = 3 SE +/- 0.23, N = 3 SE +/- 0.19, N = 3 SE +/- 0.13, N = 3 SE +/- 0.11, N = 3 60.57 60.35 59.17 56.73 56.65 55.77 55.29 55.13 54.94 54.66 54.53 54.45 53.72 53.43 53.39 53.10 52.94 52.42 50.68 49.73
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Hugin Panorama Photo Assistant + Stitching Time EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7352 EPYC 7272 EPYC 7282 EPYC 7642 EPYC 7702 EPYC 7532 EPYC 7662 EPYC 7552 EPYC 7302P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7402P EPYC 7F32 EPYC 7542 EPYC 7F52 EPYC 7F72 12 24 36 48 60 Min: 60.08 / Avg: 60.57 / Max: 60.83 Min: 60.05 / Avg: 60.35 / Max: 60.87 Min: 59.05 / Avg: 59.17 / Max: 59.24 Min: 56.18 / Avg: 56.73 / Max: 57.24 Min: 56.37 / Avg: 56.65 / Max: 57.07 Min: 55.26 / Avg: 55.77 / Max: 56.6 Min: 54.64 / Avg: 55.28 / Max: 56.05 Min: 54.84 / Avg: 55.13 / Max: 55.35 Min: 54.17 / Avg: 54.94 / Max: 55.32 Min: 54.28 / Avg: 54.66 / Max: 55.14 Min: 54.34 / Avg: 54.53 / Max: 54.81 Min: 54.04 / Avg: 54.45 / Max: 54.69 Min: 53.08 / Avg: 53.72 / Max: 54.09 Min: 52.7 / Avg: 53.43 / Max: 54.09 Min: 52.95 / Avg: 53.39 / Max: 53.77 Min: 52.78 / Avg: 53.1 / Max: 53.6 Min: 52.48 / Avg: 52.94 / Max: 53.18 Min: 52.04 / Avg: 52.42 / Max: 52.67 Min: 50.42 / Avg: 50.68 / Max: 50.83 Min: 49.54 / Avg: 49.72 / Max: 49.93
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 7352 EPYC 7532 EPYC 7252 EPYC 7552 EPYC 7642 EPYC 7452 EPYC 7302P EPYC 7272 EPYC 7232P EPYC 7262 EPYC 7402P EPYC 7282 EPYC 7502 EPYC 7502P EPYC 7702 EPYC 7662 EPYC 7542 EPYC 7F72 EPYC 7F52 EPYC 7F32 2 4 6 8 10 SE +/- 0.036, N = 3 SE +/- 0.027, N = 3 SE +/- 0.020, N = 3 SE +/- 0.020, N = 3 SE +/- 0.028, N = 3 SE +/- 0.024, N = 3 SE +/- 0.020, N = 3 SE +/- 0.017, N = 3 SE +/- 0.032, N = 3 SE +/- 0.018, N = 3 SE +/- 0.026, N = 3 SE +/- 0.036, N = 3 SE +/- 0.019, N = 3 SE +/- 0.061, N = 3 SE +/- 0.070, N = 3 SE +/- 0.013, N = 3 SE +/- 0.009, N = 3 SE +/- 0.022, N = 3 SE +/- 0.020, N = 3 SE +/- 0.034, N = 3 8.006 7.947 7.665 7.654 7.623 7.561 7.557 7.543 7.542 7.510 7.444 7.432 7.400 7.394 7.349 7.348 7.225 6.957 6.733 6.582
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Scale EPYC 7352 EPYC 7532 EPYC 7252 EPYC 7552 EPYC 7642 EPYC 7452 EPYC 7302P EPYC 7272 EPYC 7232P EPYC 7262 EPYC 7402P EPYC 7282 EPYC 7502 EPYC 7502P EPYC 7702 EPYC 7662 EPYC 7542 EPYC 7F72 EPYC 7F52 EPYC 7F32 3 6 9 12 15 Min: 7.94 / Avg: 8.01 / Max: 8.05 Min: 7.91 / Avg: 7.95 / Max: 8 Min: 7.63 / Avg: 7.67 / Max: 7.69 Min: 7.63 / Avg: 7.65 / Max: 7.69 Min: 7.58 / Avg: 7.62 / Max: 7.68 Min: 7.53 / Avg: 7.56 / Max: 7.61 Min: 7.52 / Avg: 7.56 / Max: 7.58 Min: 7.53 / Avg: 7.54 / Max: 7.58 Min: 7.49 / Avg: 7.54 / Max: 7.6 Min: 7.49 / Avg: 7.51 / Max: 7.55 Min: 7.41 / Avg: 7.44 / Max: 7.49 Min: 7.38 / Avg: 7.43 / Max: 7.5 Min: 7.38 / Avg: 7.4 / Max: 7.44 Min: 7.31 / Avg: 7.39 / Max: 7.51 Min: 7.23 / Avg: 7.35 / Max: 7.47 Min: 7.34 / Avg: 7.35 / Max: 7.37 Min: 7.21 / Avg: 7.23 / Max: 7.24 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
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 7232P EPYC 7702 EPYC 7282 EPYC 7252 EPYC 7662 EPYC 7272 EPYC 7352 EPYC 7642 EPYC 7532 EPYC 7552 EPYC 7262 EPYC 7502 EPYC 7452 EPYC 7302P EPYC 7502P EPYC 7542 EPYC 7402P EPYC 7F72 EPYC 7F32 EPYC 7F52 10 20 30 40 50 45.68 45.35 45.12 45.12 44.95 44.94 44.84 44.33 44.09 43.99 43.34 43.03 42.80 42.72 42.51 42.34 42.12 40.22 38.56 37.68
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 7352 EPYC 7232P EPYC 7252 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7532 EPYC 7642 EPYC 7262 EPYC 7552 EPYC 7502P EPYC 7662 EPYC 7452 EPYC 7502 EPYC 7402P EPYC 7702 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 1200 2400 3600 4800 6000 SE +/- 9.23, N = 3 SE +/- 9.01, N = 3 SE +/- 18.75, N = 3 SE +/- 12.09, N = 3 SE +/- 6.37, N = 3 SE +/- 13.80, N = 3 SE +/- 7.15, N = 3 SE +/- 3.03, N = 3 SE +/- 8.18, N = 3 SE +/- 1.56, N = 3 SE +/- 6.76, N = 3 SE +/- 11.98, N = 3 SE +/- 4.72, N = 3 SE +/- 0.94, N = 3 SE +/- 4.51, N = 3 SE +/- 12.00, N = 3 SE +/- 15.88, N = 3 SE +/- 4.53, N = 3 SE +/- 4.57, N = 3 SE +/- 16.76, N = 3 4728.4 4732.0 4732.2 4772.9 4812.5 4980.0 5002.8 5013.4 5019.6 5024.5 5028.0 5040.7 5049.7 5061.3 5061.8 5107.6 5108.5 5661.0 5671.4 5705.4 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 7352 EPYC 7232P EPYC 7252 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7532 EPYC 7642 EPYC 7262 EPYC 7552 EPYC 7502P EPYC 7662 EPYC 7452 EPYC 7502 EPYC 7402P EPYC 7702 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 1000 2000 3000 4000 5000 Min: 4718 / Avg: 4728.4 / Max: 4746.8 Min: 4714.4 / Avg: 4732.03 / Max: 4744.1 Min: 4704 / Avg: 4732.2 / Max: 4767.7 Min: 4749 / Avg: 4772.93 / Max: 4787.9 Min: 4800.8 / Avg: 4812.5 / Max: 4822.7 Min: 4955.2 / Avg: 4980 / Max: 5002.9 Min: 4988.8 / Avg: 5002.77 / Max: 5012.4 Min: 5008.1 / Avg: 5013.37 / Max: 5018.6 Min: 5010.6 / Avg: 5019.57 / Max: 5035.9 Min: 5021.7 / Avg: 5024.5 / Max: 5027.1 Min: 5017 / Avg: 5027.97 / Max: 5040.3 Min: 5022.3 / Avg: 5040.73 / Max: 5063.2 Min: 5044.1 / Avg: 5049.73 / Max: 5059.1 Min: 5059.5 / Avg: 5061.33 / Max: 5062.6 Min: 5055.7 / Avg: 5061.8 / Max: 5070.6 Min: 5084 / Avg: 5107.6 / Max: 5123.2 Min: 5089.3 / Avg: 5108.5 / Max: 5140 Min: 5653.7 / Avg: 5660.97 / Max: 5669.3 Min: 5662.3 / Avg: 5671.43 / Max: 5676.2 Min: 5672.1 / Avg: 5705.43 / Max: 5725.2 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 7352 EPYC 7252 EPYC 7232P EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7532 EPYC 7642 EPYC 7662 EPYC 7452 EPYC 7552 EPYC 7402P EPYC 7502 EPYC 7702 EPYC 7502P EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 8 16 24 32 40 SE +/- 0.08, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 SE +/- 0.10, N = 3 SE +/- 0.19, N = 3 SE +/- 0.07, N = 3 SE +/- 0.13, N = 3 SE +/- 0.10, N = 3 SE +/- 0.20, N = 3 SE +/- 0.16, N = 3 SE +/- 0.04, N = 3 SE +/- 0.09, N = 3 SE +/- 0.17, N = 3 SE +/- 0.15, N = 3 SE +/- 0.06, N = 3 SE +/- 0.09, N = 3 SE +/- 0.07, N = 3 SE +/- 0.01, N = 3 32.65 32.45 32.43 32.22 32.11 31.52 31.50 31.47 31.36 31.25 31.16 31.08 31.07 31.04 30.95 30.92 30.73 28.66 27.46 27.06
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Tesseract OCR 4.1.1 Time To OCR 7 Images EPYC 7352 EPYC 7252 EPYC 7232P EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7532 EPYC 7642 EPYC 7662 EPYC 7452 EPYC 7552 EPYC 7402P EPYC 7502 EPYC 7702 EPYC 7502P EPYC 7262 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 7 14 21 28 35 Min: 32.51 / Avg: 32.65 / Max: 32.79 Min: 32.35 / Avg: 32.45 / Max: 32.52 Min: 32.4 / Avg: 32.43 / Max: 32.45 Min: 32.11 / Avg: 32.22 / Max: 32.33 Min: 32.02 / Avg: 32.11 / Max: 32.2 Min: 31.41 / Avg: 31.52 / Max: 31.71 Min: 31.22 / Avg: 31.5 / Max: 31.87 Min: 31.39 / Avg: 31.47 / Max: 31.61 Min: 31.16 / Avg: 31.36 / Max: 31.61 Min: 31.05 / Avg: 31.25 / Max: 31.39 Min: 30.94 / Avg: 31.16 / Max: 31.56 Min: 30.92 / Avg: 31.08 / Max: 31.4 Min: 30.99 / Avg: 31.07 / Max: 31.14 Min: 30.94 / Avg: 31.04 / Max: 31.21 Min: 30.61 / Avg: 30.95 / Max: 31.12 Min: 30.65 / Avg: 30.92 / Max: 31.15 Min: 30.61 / Avg: 30.73 / Max: 30.81 Min: 28.48 / Avg: 28.66 / Max: 28.8 Min: 27.36 / Avg: 27.46 / Max: 27.59 Min: 27.03 / Avg: 27.06 / Max: 27.08
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 7232P EPYC 7252 EPYC 7352 EPYC 7272 EPYC 7282 EPYC 7532 EPYC 7642 EPYC 7262 EPYC 7302P EPYC 7552 EPYC 7662 EPYC 7702 EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7402P EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 11 22 33 44 55 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 +/- 0.10, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 49.86 49.78 49.58 48.84 48.25 48.17 47.84 47.54 47.39 47.33 47.17 46.81 46.78 46.44 46.44 46.41 45.72 42.75 41.46 41.35
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Rotate 90 Degrees EPYC 7232P EPYC 7252 EPYC 7352 EPYC 7272 EPYC 7282 EPYC 7532 EPYC 7642 EPYC 7262 EPYC 7302P EPYC 7552 EPYC 7662 EPYC 7702 EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7402P EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 10 20 30 40 50 Min: 49.74 / Avg: 49.86 / Max: 50.01 Min: 49.72 / Avg: 49.78 / Max: 49.84 Min: 49.56 / Avg: 49.58 / Max: 49.63 Min: 48.77 / Avg: 48.84 / Max: 48.88 Min: 48.19 / Avg: 48.25 / Max: 48.28 Min: 48.02 / Avg: 48.17 / Max: 48.37 Min: 47.75 / Avg: 47.84 / Max: 47.97 Min: 47.52 / Avg: 47.54 / Max: 47.57 Min: 47.37 / Avg: 47.39 / Max: 47.41 Min: 47.3 / Avg: 47.33 / Max: 47.37 Min: 47.1 / Avg: 47.17 / Max: 47.22 Min: 46.69 / Avg: 46.81 / Max: 46.91 Min: 46.71 / Avg: 46.78 / Max: 46.83 Min: 46.43 / Avg: 46.44 / Max: 46.45 Min: 46.4 / Avg: 46.44 / Max: 46.47 Min: 46.29 / Avg: 46.41 / Max: 46.49 Min: 45.69 / Avg: 45.72 / Max: 45.75 Min: 42.71 / Avg: 42.75 / Max: 42.81 Min: 41.44 / Avg: 41.46 / Max: 41.47 Min: 41.29 / Avg: 41.35 / Max: 41.41
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 7662 EPYC 7282 EPYC 7702 EPYC 7452 EPYC 7542 EPYC 7402P EPYC 7532 EPYC 7262 EPYC 7502 EPYC 7272 EPYC 7352 EPYC 7252 EPYC 7302P EPYC 7552 EPYC 7F52 EPYC 7502P EPYC 7232P EPYC 7642 EPYC 7F32 EPYC 7F72 9 18 27 36 45 SE +/- 0.14, N = 3 SE +/- 0.05, N = 3 SE +/- 0.44, N = 3 SE +/- 0.90, N = 12 SE +/- 0.25, N = 3 SE +/- 0.58, N = 3 SE +/- 0.27, N = 3 SE +/- 0.48, N = 15 SE +/- 0.63, N = 3 SE +/- 0.44, N = 15 SE +/- 0.35, N = 15 SE +/- 0.35, N = 15 SE +/- 0.13, N = 3 SE +/- 0.39, N = 3 SE +/- 0.23, N = 3 SE +/- 0.48, N = 15 SE +/- 0.42, N = 3 SE +/- 0.27, N = 15 SE +/- 0.49, N = 15 SE +/- 0.20, N = 3 41.08 40.48 40.10 39.89 39.86 39.06 38.99 38.46 38.35 37.04 36.46 36.01 35.44 35.42 34.69 34.68 34.67 34.66 34.42 34.31 1. (CXX) g++ options: -rdynamic
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better ArrayFire 3.7 Test: Conjugate Gradient CPU EPYC 7662 EPYC 7282 EPYC 7702 EPYC 7452 EPYC 7542 EPYC 7402P EPYC 7532 EPYC 7262 EPYC 7502 EPYC 7272 EPYC 7352 EPYC 7252 EPYC 7302P EPYC 7552 EPYC 7F52 EPYC 7502P EPYC 7232P EPYC 7642 EPYC 7F32 EPYC 7F72 9 18 27 36 45 Min: 40.94 / Avg: 41.08 / Max: 41.36 Min: 40.41 / Avg: 40.48 / Max: 40.58 Min: 39.24 / Avg: 40.1 / Max: 40.64 Min: 36.69 / Avg: 39.89 / Max: 48.24 Min: 39.35 / Avg: 39.86 / Max: 40.14 Min: 38.24 / Avg: 39.06 / Max: 40.17 Min: 38.52 / Avg: 38.99 / Max: 39.44 Min: 36.04 / Avg: 38.46 / Max: 41.61 Min: 37.1 / Avg: 38.35 / Max: 38.99 Min: 34.83 / Avg: 37.04 / Max: 40.58 Min: 33.78 / Avg: 36.46 / Max: 38.67 Min: 34.31 / Avg: 36.01 / Max: 39.06 Min: 35.25 / Avg: 35.44 / Max: 35.69 Min: 34.79 / Avg: 35.42 / Max: 36.14 Min: 34.28 / Avg: 34.69 / Max: 35.08 Min: 33.32 / Avg: 34.68 / Max: 39.23 Min: 34.08 / Avg: 34.67 / Max: 35.48 Min: 33.09 / Avg: 34.66 / Max: 37.07 Min: 32.46 / Avg: 34.42 / Max: 39.15 Min: 34.07 / Avg: 34.31 / Max: 34.7 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 7272 EPYC 7352 EPYC 7232P EPYC 7282 EPYC 7252 EPYC 7532 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7302P EPYC 7402P EPYC 7502 EPYC 7552 EPYC 7502P EPYC 7262 EPYC 7452 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 1500 3000 4500 6000 7500 SE +/- 46.33, N = 3 SE +/- 46.33, N = 3 SE +/- 81.99, N = 3 SE +/- 48.33, N = 3 SE +/- 48.33, N = 3 SE +/- 48.33, N = 3 SE +/- 51.00, N = 3 SE +/- 51.00, N = 3 SE +/- 51.00, N = 3 SE +/- 56.00, N = 3 SE +/- 62.67, N = 3 5813 5813 5859 5906 5952 5954 6049 6049 6049 6097 6097 6097 6097 6148 6199 6199 6250 6522 6756 6881 1. (CC) gcc options: -O3
Result Confidence
OpenBenchmarking.org TPS, More Is Better PostMark 1.51 Disk Transaction Performance EPYC 7272 EPYC 7352 EPYC 7232P EPYC 7282 EPYC 7252 EPYC 7532 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7302P EPYC 7402P EPYC 7502 EPYC 7552 EPYC 7502P EPYC 7262 EPYC 7452 EPYC 7542 EPYC 7F72 EPYC 7F32 EPYC 7F52 1200 2400 3600 4800 6000 Min: 5813 / Avg: 5859.33 / Max: 5952 Min: 5813 / Avg: 5905.67 / Max: 5952 Min: 5813 / Avg: 5954 / Max: 6097 Min: 5952 / Avg: 6048.67 / Max: 6097 Min: 5952 / Avg: 6048.67 / Max: 6097 Min: 5952 / Avg: 6048.67 / Max: 6097 Min: 6097 / Avg: 6148 / Max: 6250 Min: 6097 / Avg: 6199 / Max: 6250 Min: 6097 / Avg: 6199 / Max: 6250 Min: 6410 / Avg: 6522 / Max: 6578 Min: 6756 / Avg: 6881.33 / Max: 6944 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 7232P EPYC 7262 EPYC 7252 EPYC 7352 EPYC 7532 EPYC 7302P EPYC 7272 EPYC 7282 EPYC 7642 EPYC 7662 EPYC 7552 EPYC 7402P EPYC 7502P EPYC 7702 EPYC 7452 EPYC 7502 EPYC 7542 EPYC 7F52 EPYC 7F72 EPYC 7F32 2 4 6 8 10 SE +/- 0.014, N = 4 SE +/- 0.023, N = 4 SE +/- 0.024, N = 4 SE +/- 0.030, N = 4 SE +/- 0.027, N = 4 SE +/- 0.047, N = 4 SE +/- 0.030, N = 4 SE +/- 0.014, N = 4 SE +/- 0.022, N = 4 SE +/- 0.027, N = 4 SE +/- 0.006, N = 4 SE +/- 0.014, N = 4 SE +/- 0.013, N = 4 SE +/- 0.020, N = 4 SE +/- 0.015, N = 4 SE +/- 0.036, N = 4 SE +/- 0.024, N = 4 SE +/- 0.018, N = 4 SE +/- 0.015, N = 4 SE +/- 0.023, N = 4 7.196 7.046 6.991 6.988 6.920 6.914 6.827 6.792 6.766 6.660 6.635 6.629 6.593 6.563 6.551 6.540 6.419 6.180 6.174 6.092
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Unpacking The Linux Kernel linux-4.15.tar.xz EPYC 7232P EPYC 7262 EPYC 7252 EPYC 7352 EPYC 7532 EPYC 7302P EPYC 7272 EPYC 7282 EPYC 7642 EPYC 7662 EPYC 7552 EPYC 7402P EPYC 7502P EPYC 7702 EPYC 7452 EPYC 7502 EPYC 7542 EPYC 7F52 EPYC 7F72 EPYC 7F32 3 6 9 12 15 Min: 7.16 / Avg: 7.2 / Max: 7.22 Min: 7 / Avg: 7.05 / Max: 7.1 Min: 6.93 / Avg: 6.99 / Max: 7.03 Min: 6.94 / Avg: 6.99 / Max: 7.07 Min: 6.87 / Avg: 6.92 / Max: 6.98 Min: 6.83 / Avg: 6.91 / Max: 7.05 Min: 6.77 / Avg: 6.83 / Max: 6.9 Min: 6.75 / Avg: 6.79 / Max: 6.82 Min: 6.73 / Avg: 6.77 / Max: 6.82 Min: 6.59 / Avg: 6.66 / Max: 6.71 Min: 6.63 / Avg: 6.64 / Max: 6.65 Min: 6.59 / Avg: 6.63 / Max: 6.65 Min: 6.57 / Avg: 6.59 / Max: 6.63 Min: 6.52 / Avg: 6.56 / Max: 6.62 Min: 6.53 / Avg: 6.55 / Max: 6.59 Min: 6.46 / Avg: 6.54 / Max: 6.63 Min: 6.35 / Avg: 6.42 / Max: 6.46 Min: 6.14 / Avg: 6.18 / Max: 6.23 Min: 6.13 / Avg: 6.17 / Max: 6.19 Min: 6.04 / Avg: 6.09 / Max: 6.15
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 7352 EPYC 7232P EPYC 7642 EPYC 7702 EPYC 7552 EPYC 7662 EPYC 7252 EPYC 7532 EPYC 7272 EPYC 7282 EPYC 7452 EPYC 7402P EPYC 7502 EPYC 7502P EPYC 7302P EPYC 7542 EPYC 7262 EPYC 7F72 EPYC 7F52 EPYC 7F32 2 4 6 8 10 SE +/- 0.052, N = 5 SE +/- 0.038, N = 5 SE +/- 0.039, N = 5 SE +/- 0.074, N = 5 SE +/- 0.028, N = 5 SE +/- 0.056, N = 5 SE +/- 0.028, N = 5 SE +/- 0.018, N = 5 SE +/- 0.043, N = 5 SE +/- 0.010, N = 5 SE +/- 0.025, N = 5 SE +/- 0.075, N = 5 SE +/- 0.017, N = 5 SE +/- 0.027, N = 5 SE +/- 0.007, N = 5 SE +/- 0.033, N = 5 SE +/- 0.016, N = 5 SE +/- 0.022, N = 5 SE +/- 0.008, N = 5 SE +/- 0.029, N = 5 8.777 8.718 8.704 8.674 8.579 8.541 8.529 8.524 8.515 8.439 8.381 8.357 8.322 8.313 8.288 8.246 8.145 7.982 7.538 7.447
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GNU Octave Benchmark 5.2.0 EPYC 7352 EPYC 7232P EPYC 7642 EPYC 7702 EPYC 7552 EPYC 7662 EPYC 7252 EPYC 7532 EPYC 7272 EPYC 7282 EPYC 7452 EPYC 7402P EPYC 7502 EPYC 7502P EPYC 7302P EPYC 7542 EPYC 7262 EPYC 7F72 EPYC 7F52 EPYC 7F32 3 6 9 12 15 Min: 8.65 / Avg: 8.78 / Max: 8.91 Min: 8.63 / Avg: 8.72 / Max: 8.86 Min: 8.62 / Avg: 8.7 / Max: 8.83 Min: 8.54 / Avg: 8.67 / Max: 8.93 Min: 8.5 / Avg: 8.58 / Max: 8.64 Min: 8.41 / Avg: 8.54 / Max: 8.68 Min: 8.45 / Avg: 8.53 / Max: 8.62 Min: 8.49 / Avg: 8.52 / Max: 8.59 Min: 8.42 / Avg: 8.52 / Max: 8.61 Min: 8.41 / Avg: 8.44 / Max: 8.46 Min: 8.3 / Avg: 8.38 / Max: 8.45 Min: 8.27 / Avg: 8.36 / Max: 8.66 Min: 8.27 / Avg: 8.32 / Max: 8.37 Min: 8.26 / Avg: 8.31 / Max: 8.42 Min: 8.27 / Avg: 8.29 / Max: 8.31 Min: 8.17 / Avg: 8.25 / Max: 8.36 Min: 8.09 / Avg: 8.14 / Max: 8.18 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
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 7302P EPYC 7232P EPYC 7352 EPYC 7282 EPYC 7262 EPYC 7272 EPYC 7532 EPYC 7642 EPYC 7402P EPYC 7252 EPYC 7552 EPYC 7F32 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7542 EPYC 7702 EPYC 7662 EPYC 7F72 EPYC 7F52 80 160 240 320 400 SE +/- 3.87, N = 3 SE +/- 2.73, N = 3 SE +/- 5.13, N = 9 SE +/- 6.11, N = 3 SE +/- 6.72, N = 9 SE +/- 5.65, N = 9 SE +/- 6.20, N = 9 SE +/- 2.49, N = 3 SE +/- 4.99, N = 3 SE +/- 5.31, N = 3 SE +/- 3.70, N = 7 SE +/- 2.60, N = 3 SE +/- 5.14, N = 9 SE +/- 3.41, N = 9 SE +/- 5.74, N = 9 SE +/- 4.91, N = 3 SE +/- 5.38, N = 9 SE +/- 4.71, N = 9 SE +/- 4.69, N = 4 SE +/- 2.59, N = 3 379.76 373.08 371.18 368.49 366.75 358.64 357.63 356.75 354.27 350.98 344.50 344.39 342.25 340.22 339.80 339.35 337.81 331.29 330.10 323.23
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Java Gradle Build Gradle Build: Reactor EPYC 7302P EPYC 7232P EPYC 7352 EPYC 7282 EPYC 7262 EPYC 7272 EPYC 7532 EPYC 7642 EPYC 7402P EPYC 7252 EPYC 7552 EPYC 7F32 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7542 EPYC 7702 EPYC 7662 EPYC 7F72 EPYC 7F52 70 140 210 280 350 Min: 372.45 / Avg: 379.76 / Max: 385.63 Min: 368.67 / Avg: 373.08 / Max: 378.08 Min: 349.96 / Avg: 371.18 / Max: 391.88 Min: 361.79 / Avg: 368.49 / Max: 380.7 Min: 345.02 / Avg: 366.75 / Max: 408.84 Min: 343.49 / Avg: 358.64 / Max: 401.05 Min: 327.79 / Avg: 357.63 / Max: 390.79 Min: 351.87 / Avg: 356.75 / Max: 360.05 Min: 344.4 / Avg: 354.27 / Max: 360.52 Min: 340.37 / Avg: 350.98 / Max: 356.76 Min: 331.32 / Avg: 344.5 / Max: 361.38 Min: 339.25 / Avg: 344.39 / Max: 347.65 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: 331.61 / Avg: 339.35 / Max: 348.44 Min: 313.22 / Avg: 337.81 / Max: 361.29 Min: 313.98 / Avg: 331.29 / Max: 351.86 Min: 320.17 / Avg: 330.1 / Max: 341.36 Min: 318.18 / Avg: 323.23 / Max: 326.76
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 7262 EPYC 7252 EPYC 7282 EPYC 7352 EPYC 7232P EPYC 7272 EPYC 7452 EPYC 7302P EPYC 7532 EPYC 7402P EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7552 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7F32 EPYC 7F52 EPYC 7F72 20 40 60 80 100 SE +/- 0.26, N = 3 SE +/- 0.24, N = 3 SE +/- 0.15, N = 3 SE +/- 0.32, N = 3 SE +/- 0.20, N = 3 SE +/- 0.24, N = 3 SE +/- 0.73, N = 3 SE +/- 0.12, N = 3 SE +/- 0.25, N = 3 SE +/- 0.16, N = 3 SE +/- 0.21, N = 3 SE +/- 0.04, N = 3 SE +/- 0.11, N = 3 SE +/- 0.18, N = 3 SE +/- 0.16, N = 3 SE +/- 0.26, N = 3 SE +/- 0.26, N = 3 SE +/- 0.06, N = 3 SE +/- 0.12, N = 3 SE +/- 0.23, N = 3 84.60 83.99 83.08 82.28 82.18 81.99 81.98 81.86 81.75 81.57 81.52 81.26 80.78 80.39 80.03 79.63 79.51 74.97 73.89 72.53
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better DeepSpeech 0.6 Acceleration: CPU EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7352 EPYC 7232P EPYC 7272 EPYC 7452 EPYC 7302P EPYC 7532 EPYC 7402P EPYC 7502P EPYC 7502 EPYC 7542 EPYC 7552 EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7F32 EPYC 7F52 EPYC 7F72 16 32 48 64 80 Min: 84.25 / Avg: 84.6 / Max: 85.12 Min: 83.55 / Avg: 83.99 / Max: 84.36 Min: 82.9 / Avg: 83.08 / Max: 83.37 Min: 81.65 / Avg: 82.28 / Max: 82.63 Min: 81.89 / Avg: 82.18 / Max: 82.56 Min: 81.63 / Avg: 81.99 / Max: 82.45 Min: 81.13 / Avg: 81.98 / Max: 83.42 Min: 81.69 / Avg: 81.86 / Max: 82.1 Min: 81.37 / Avg: 81.75 / Max: 82.23 Min: 81.27 / Avg: 81.57 / Max: 81.78 Min: 81.31 / Avg: 81.52 / Max: 81.94 Min: 81.19 / Avg: 81.26 / Max: 81.33 Min: 80.56 / Avg: 80.78 / Max: 80.91 Min: 80.14 / Avg: 80.39 / Max: 80.74 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: 74.89 / Avg: 74.97 / Max: 75.09 Min: 73.69 / Avg: 73.89 / Max: 74.1 Min: 72.07 / Avg: 72.53 / Max: 72.82
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 7352 EPYC 7272 EPYC 7302P EPYC 7262 EPYC 7232P EPYC 7252 EPYC 7532 EPYC 7282 EPYC 7502 EPYC 7552 EPYC 7402P EPYC 7662 EPYC 7452 EPYC 7502P EPYC 7642 EPYC 7702 EPYC 7542 EPYC 7F32 EPYC 7F72 EPYC 7F52 7 14 21 28 35 SE +/- 0.16, N = 3 SE +/- 0.20, N = 3 SE +/- 0.04, N = 3 SE +/- 0.11, N = 3 SE +/- 0.06, N = 3 SE +/- 0.44, N = 3 SE +/- 0.34, N = 3 SE +/- 0.24, N = 3 SE +/- 0.25, N = 3 SE +/- 0.01, N = 3 SE +/- 0.19, N = 3 SE +/- 0.11, N = 3 SE +/- 0.26, N = 3 SE +/- 0.24, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.21, N = 3 SE +/- 0.18, N = 3 SE +/- 0.30, N = 3 SE +/- 0.24, N = 3 28.71 28.50 28.46 28.42 28.16 28.01 27.84 27.61 27.19 27.13 27.11 27.09 27.00 26.96 26.77 26.66 26.57 25.32 25.21 24.76
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_svm EPYC 7352 EPYC 7272 EPYC 7302P EPYC 7262 EPYC 7232P EPYC 7252 EPYC 7532 EPYC 7282 EPYC 7502 EPYC 7552 EPYC 7402P EPYC 7662 EPYC 7452 EPYC 7502P EPYC 7642 EPYC 7702 EPYC 7542 EPYC 7F32 EPYC 7F72 EPYC 7F52 6 12 18 24 30 Min: 28.39 / Avg: 28.71 / Max: 28.87 Min: 28.13 / Avg: 28.5 / Max: 28.83 Min: 28.39 / Avg: 28.46 / Max: 28.52 Min: 28.28 / Avg: 28.42 / Max: 28.64 Min: 28.08 / Avg: 28.16 / Max: 28.28 Min: 27.53 / Avg: 28.01 / Max: 28.9 Min: 27.29 / Avg: 27.84 / Max: 28.45 Min: 27.34 / Avg: 27.61 / Max: 28.08 Min: 26.69 / Avg: 27.19 / Max: 27.46 Min: 27.12 / Avg: 27.13 / Max: 27.15 Min: 26.81 / Avg: 27.11 / Max: 27.46 Min: 26.96 / Avg: 27.09 / Max: 27.3 Min: 26.69 / Avg: 27 / Max: 27.52 Min: 26.7 / Avg: 26.96 / Max: 27.44 Min: 26.73 / Avg: 26.77 / Max: 26.81 Min: 26.6 / Avg: 26.66 / Max: 26.73 Min: 26.21 / Avg: 26.57 / Max: 26.95 Min: 24.99 / Avg: 25.32 / Max: 25.62 Min: 24.89 / Avg: 25.21 / Max: 25.82 Min: 24.28 / Avg: 24.76 / Max: 25.03
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 7662 EPYC 7352 EPYC 7642 EPYC 7702 EPYC 7552 EPYC 7262 EPYC 7532 EPYC 7252 EPYC 7302P EPYC 7502 EPYC 7402P EPYC 7452 EPYC 7502P EPYC 7542 EPYC 7232P EPYC 7272 EPYC 7282 EPYC 7F32 EPYC 7F52 EPYC 7F72 70 140 210 280 350 SE +/- 0.69, N = 3 SE +/- 0.34, N = 3 SE +/- 1.49, N = 3 SE +/- 0.89, N = 3 SE +/- 0.73, N = 3 SE +/- 0.21, N = 3 SE +/- 0.89, N = 3 SE +/- 1.33, N = 3 SE +/- 0.59, N = 3 SE +/- 0.73, N = 3 SE +/- 0.15, N = 3 SE +/- 0.43, N = 3 SE +/- 0.67, N = 3 SE +/- 0.56, N = 3 SE +/- 0.65, N = 3 SE +/- 2.14, N = 3 SE +/- 0.81, N = 3 SE +/- 0.50, N = 3 SE +/- 0.78, N = 3 SE +/- 0.66, N = 3 339.37 337.30 337.00 336.92 336.45 335.95 334.67 330.05 329.31 328.27 327.87 325.66 325.26 323.34 323.28 316.06 312.18 308.52 298.47 295.26
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better WireGuard + Linux Networking Stack Stress Test EPYC 7662 EPYC 7352 EPYC 7642 EPYC 7702 EPYC 7552 EPYC 7262 EPYC 7532 EPYC 7252 EPYC 7302P EPYC 7502 EPYC 7402P EPYC 7452 EPYC 7502P EPYC 7542 EPYC 7232P EPYC 7272 EPYC 7282 EPYC 7F32 EPYC 7F52 EPYC 7F72 60 120 180 240 300 Min: 338.14 / Avg: 339.37 / Max: 340.54 Min: 336.62 / Avg: 337.3 / Max: 337.69 Min: 335.1 / Avg: 337 / Max: 339.94 Min: 335.33 / Avg: 336.92 / Max: 338.41 Min: 335.49 / Avg: 336.45 / Max: 337.89 Min: 335.53 / Avg: 335.95 / Max: 336.24 Min: 332.93 / Avg: 334.67 / Max: 335.9 Min: 328.14 / Avg: 330.05 / Max: 332.6 Min: 328.38 / Avg: 329.31 / Max: 330.4 Min: 327.19 / Avg: 328.27 / Max: 329.67 Min: 327.57 / Avg: 327.87 / Max: 328.02 Min: 324.97 / Avg: 325.66 / Max: 326.46 Min: 324.12 / Avg: 325.26 / Max: 326.43 Min: 322.33 / Avg: 323.34 / Max: 324.28 Min: 322.49 / Avg: 323.28 / Max: 324.58 Min: 312.44 / Avg: 316.06 / Max: 319.84 Min: 310.68 / Avg: 312.18 / Max: 313.44 Min: 307.64 / Avg: 308.52 / Max: 309.36 Min: 297.17 / Avg: 298.47 / Max: 299.86 Min: 294.29 / Avg: 295.26 / Max: 296.51
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 7702 EPYC 7662 EPYC 7642 EPYC 7262 EPYC 7352 EPYC 7552 EPYC 7532 EPYC 7252 EPYC 7232P EPYC 7302P EPYC 7282 EPYC 7402P EPYC 7272 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7542 EPYC 7F32 EPYC 7F52 EPYC 7F72 90K 180K 270K 360K 450K SE +/- 3410.42, N = 3 SE +/- 4239.95, N = 3 SE +/- 624.20, N = 3 SE +/- 238.26, N = 3 SE +/- 1968.81, N = 3 SE +/- 4342.59, N = 7 SE +/- 775.34, N = 3 SE +/- 464.04, N = 3 SE +/- 866.86, N = 3 SE +/- 163.65, N = 3 SE +/- 5702.08, N = 3 SE +/- 1405.58, N = 3 SE +/- 245.66, N = 3 SE +/- 1851.69, N = 3 SE +/- 649.38, N = 3 SE +/- 1062.02, N = 3 SE +/- 894.11, N = 3 SE +/- 1594.87, N = 3 SE +/- 228.49, N = 3 SE +/- 3714.55, N = 3 375509.38 378118.38 381667.96 386383.91 388111.09 388353.93 392401.63 392714.19 392896.66 395467.10 396399.81 401582.89 406178.39 407511.61 407869.99 409267.14 412566.04 414532.34 424009.46 429753.65 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 7702 EPYC 7662 EPYC 7642 EPYC 7262 EPYC 7352 EPYC 7552 EPYC 7532 EPYC 7252 EPYC 7232P EPYC 7302P EPYC 7282 EPYC 7402P EPYC 7272 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7542 EPYC 7F32 EPYC 7F52 EPYC 7F72 70K 140K 210K 280K 350K 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: 386087.82 / Avg: 386383.91 / Max: 386855.3 Min: 384323.04 / Avg: 388111.09 / Max: 390936.05 Min: 375060.11 / Avg: 388353.93 / Max: 407696.35 Min: 390868.32 / Avg: 392401.63 / Max: 393368.67 Min: 391930.7 / Avg: 392714.19 / Max: 393536.77 Min: 391575.63 / Avg: 392896.66 / Max: 394529.54 Min: 395226.4 / Avg: 395467.1 / Max: 395779.53 Min: 386344.47 / Avg: 396399.81 / Max: 406086.74 Min: 399456.17 / Avg: 401582.89 / Max: 404238.35 Min: 405819.18 / Avg: 406178.39 / Max: 406648.29 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: 411317.97 / Avg: 412566.04 / Max: 414299.14 Min: 411360.53 / Avg: 414532.34 / Max: 416410.71 Min: 423604.94 / Avg: 424009.46 / Max: 424395.83 Min: 422340.89 / Avg: 429753.65 / Max: 433886.45 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 7232P EPYC 7662 EPYC 7532 EPYC 7352 EPYC 7552 EPYC 7252 EPYC 7642 EPYC 7272 EPYC 7702 EPYC 7452 EPYC 7302P EPYC 7402P EPYC 7282 EPYC 7542 EPYC 7502P EPYC 7502 EPYC 7F72 EPYC 7262 EPYC 7F52 EPYC 7F32 0.819 1.638 2.457 3.276 4.095 3.64 3.42 3.42 3.42 3.41 3.40 3.38 3.37 3.36 3.36 3.36 3.35 3.35 3.34 3.34 3.34 3.31 3.29 3.26 3.20
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 7662 EPYC 7642 EPYC 7352 EPYC 7702 EPYC 7452 EPYC 7262 EPYC 7502 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7232P EPYC 7402P EPYC 7252 EPYC 7302P EPYC 7502P EPYC 7272 EPYC 7282 EPYC 7F32 EPYC 7F72 EPYC 7F52 300 600 900 1200 1500 SE +/- 4.53, N = 3 SE +/- 4.79, N = 3 SE +/- 10.99, N = 3 SE +/- 1.57, N = 3 SE +/- 4.02, N = 3 SE +/- 2.40, N = 3 SE +/- 3.37, N = 3 SE +/- 5.24, N = 3 SE +/- 2.27, N = 4 SE +/- 1.74, N = 3 SE +/- 10.23, N = 3 SE +/- 13.63, N = 3 SE +/- 2.85, N = 6 SE +/- 5.32, N = 3 SE +/- 6.68, N = 3 SE +/- 3.19, N = 8 SE +/- 7.74, N = 3 SE +/- 4.00, N = 3 SE +/- 4.02, N = 4 SE +/- 0.89, N = 3 1364.10 1366.25 1367.38 1368.83 1371.83 1373.93 1374.08 1375.56 1375.99 1376.68 1380.05 1381.42 1383.61 1384.18 1388.23 1404.94 1414.50 1428.03 1430.76 1441.84 1. (CC) gcc options: -O2 -lm -pthread -lmpi
Result Confidence
OpenBenchmarking.org MB/s, More Is Better IOR 3.2.1 Read Test EPYC 7662 EPYC 7642 EPYC 7352 EPYC 7702 EPYC 7452 EPYC 7262 EPYC 7502 EPYC 7552 EPYC 7542 EPYC 7532 EPYC 7232P EPYC 7402P EPYC 7252 EPYC 7302P EPYC 7502P EPYC 7272 EPYC 7282 EPYC 7F32 EPYC 7F72 EPYC 7F52 300 600 900 1200 1500 Min: 1358.12 / Avg: 1364.1 / Max: 1372.98 Min: 1359.5 / Avg: 1366.25 / Max: 1375.51 Min: 1350.9 / Avg: 1367.38 / Max: 1388.21 Min: 1365.99 / Avg: 1368.83 / Max: 1371.39 Min: 1366.21 / Avg: 1371.83 / Max: 1379.62 Min: 1369.63 / Avg: 1373.93 / Max: 1377.93 Min: 1367.62 / Avg: 1374.08 / Max: 1378.99 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: 1360.55 / Avg: 1380.05 / Max: 1395.18 Min: 1362.62 / Avg: 1381.42 / Max: 1407.92 Min: 1374.16 / Avg: 1383.61 / Max: 1393.03 Min: 1377.73 / Avg: 1384.18 / Max: 1394.73 Min: 1377.18 / Avg: 1388.23 / Max: 1400.25 Min: 1389.1 / Avg: 1404.94 / Max: 1417.09 Min: 1399.32 / Avg: 1414.5 / Max: 1424.68 Min: 1421.68 / Avg: 1428.03 / Max: 1435.43 Min: 1420.34 / Avg: 1430.76 / Max: 1438.03 Min: 1440.07 / Avg: 1441.84 / Max: 1442.9 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 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7F52 EPYC 7352 EPYC 7502 EPYC 7532 EPYC 7542 EPYC 7452 4 8 12 16 20 SE +/- 0.099, N = 12 SE +/- 0.113, N = 15 SE +/- 0.119, N = 15 SE +/- 0.094, N = 3 SE +/- 0.041, N = 3 SE +/- 0.106, N = 8 SE +/- 0.168, N = 3 SE +/- 0.103, N = 15 SE +/- 0.264, N = 15 SE +/- 0.271, N = 14 4.118 4.288 5.854 7.218 8.892 10.132 13.535 13.605 14.359 14.569 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 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7F52 EPYC 7352 EPYC 7502 EPYC 7532 EPYC 7542 EPYC 7452 4 8 12 16 20 Min: 3.78 / Avg: 4.12 / Max: 4.65 Min: 4 / Avg: 4.29 / Max: 5.54 Min: 5.46 / Avg: 5.85 / Max: 7.34 Min: 7.06 / Avg: 7.22 / Max: 7.39 Min: 8.83 / Avg: 8.89 / Max: 8.97 Min: 9.86 / Avg: 10.13 / Max: 10.7 Min: 13.28 / Avg: 13.53 / Max: 13.85 Min: 13.17 / Avg: 13.6 / Max: 14.89 Min: 13.64 / Avg: 14.36 / Max: 16.59 Min: 12.88 / Avg: 14.57 / Max: 16.27 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 7262 EPYC 7252 EPYC 7232P EPYC 7F32 EPYC 7272 EPYC 7302P EPYC 7282 EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7532 EPYC 7662 EPYC 7F72 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7702 EPYC 7542 EPYC 7552 EPYC 7642 0.3528 0.7056 1.0584 1.4112 1.764 SE +/- 0.032, N = 12 SE +/- 0.029, N = 15 SE +/- 0.028, N = 15 SE +/- 0.021, N = 15 SE +/- 0.021, N = 15 SE +/- 0.013, N = 15 SE +/- 0.011, N = 6 SE +/- 0.014, N = 15 SE +/- 0.009, N = 15 SE +/- 0.008, N = 15 SE +/- 0.009, N = 3 SE +/- 0.007, N = 3 SE +/- 0.009, N = 15 SE +/- 0.004, N = 3 SE +/- 0.009, N = 3 SE +/- 0.008, N = 3 SE +/- 0.009, N = 4 SE +/- 0.008, N = 15 SE +/- 0.007, N = 15 SE +/- 0.007, N = 15 1.568 1.567 1.560 1.421 1.123 0.932 0.920 0.862 0.801 0.753 0.721 0.701 0.699 0.688 0.688 0.686 0.682 0.655 0.653 0.644
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Sunflow Rendering System 0.07.2 Global Illumination + Image Synthesis EPYC 7262 EPYC 7252 EPYC 7232P EPYC 7F32 EPYC 7272 EPYC 7302P EPYC 7282 EPYC 7F52 EPYC 7352 EPYC 7402P EPYC 7532 EPYC 7662 EPYC 7F72 EPYC 7502P EPYC 7502 EPYC 7452 EPYC 7702 EPYC 7542 EPYC 7552 EPYC 7642 2 4 6 8 10 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 Min: 1.29 / Avg: 1.42 / Max: 1.6 Min: 1.04 / Avg: 1.12 / Max: 1.3 Min: 0.81 / Avg: 0.93 / Max: 1.03 Min: 0.88 / Avg: 0.92 / Max: 0.95 Min: 0.74 / Avg: 0.86 / Max: 0.93 Min: 0.75 / Avg: 0.8 / Max: 0.87 Min: 0.7 / Avg: 0.75 / Max: 0.81 Min: 0.7 / Avg: 0.72 / Max: 0.73 Min: 0.69 / Avg: 0.7 / Max: 0.72 Min: 0.64 / Avg: 0.7 / Max: 0.77 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: 0.66 / Avg: 0.68 / Max: 0.7 Min: 0.61 / Avg: 0.65 / Max: 0.71 Min: 0.6 / Avg: 0.65 / Max: 0.71 Min: 0.6 / Avg: 0.64 / Max: 0.69
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 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7532 EPYC 7502P EPYC 7352 EPYC 7502 EPYC 7452 EPYC 7F72 EPYC 7542 EPYC 7302P EPYC 7402P EPYC 7F52 EPYC 7272 EPYC 7252 EPYC 7232P EPYC 7262 EPYC 7282 EPYC 7F32 3 6 9 12 15 SE +/- 0.47, N = 3 SE +/- 0.34, N = 3 SE +/- 0.31, N = 3 SE +/- 0.42, N = 3 SE +/- 0.17, N = 3 SE +/- 0.17, N = 3 SE +/- 0.03, N = 15 SE +/- 0.07, N = 12 SE +/- 0.08, N = 3 SE +/- 0.07, N = 3 SE +/- 0.01, N = 8 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 10 SE +/- 0.05, N = 3 SE +/- 0.13, N = 15 SE +/- 0.04, N = 4 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 9.78 7.84 6.43 6.33 5.02 4.32 4.31 4.30 4.23 4.12 4.07 3.67 3.66 3.65 3.35 3.30 3.20 3.19 3.12 2.96 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: blazeface EPYC 7702 EPYC 7662 EPYC 7642 EPYC 7552 EPYC 7532 EPYC 7502P EPYC 7352 EPYC 7502 EPYC 7452 EPYC 7F72 EPYC 7542 EPYC 7302P EPYC 7402P EPYC 7F52 EPYC 7272 EPYC 7252 EPYC 7232P EPYC 7262 EPYC 7282 EPYC 7F32 3 6 9 12 15 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: 4.8 / Avg: 5.02 / Max: 5.35 Min: 4.05 / Avg: 4.32 / Max: 4.63 Min: 4.19 / Avg: 4.31 / Max: 4.63 Min: 4.06 / Avg: 4.3 / Max: 4.68 Min: 4.14 / Avg: 4.23 / Max: 4.39 Min: 4.04 / Avg: 4.12 / Max: 4.26 Min: 4.04 / Avg: 4.07 / Max: 4.1 Min: 3.63 / Avg: 3.67 / Max: 3.69 Min: 3.64 / Avg: 3.66 / Max: 3.7 Min: 3.46 / Avg: 3.65 / Max: 3.97 Min: 3.25 / Avg: 3.35 / Max: 3.41 Min: 3.04 / Avg: 3.3 / Max: 5.02 Min: 3.1 / Avg: 3.2 / Max: 3.26 Min: 3.17 / Avg: 3.19 / Max: 3.22 Min: 3.1 / Avg: 3.12 / Max: 3.15 Min: 2.93 / Avg: 2.96 / Max: 3.01 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: efficientnet-b0 EPYC 7702 EPYC 7662 EPYC 7552 EPYC 7642 EPYC 7532 EPYC 7352 EPYC 7502 EPYC 7502P EPYC 7452 EPYC 7232P EPYC 7542 EPYC 7F72 EPYC 7252 EPYC 7272 EPYC 7F52 EPYC 7302P EPYC 7262 EPYC 7402P EPYC 7F32 EPYC 7282 7 14 21 28 35 SE +/- 1.87, N = 3 SE +/- 1.57, N = 3 SE +/- 1.64, N = 3 SE +/- 0.32, N = 3 SE +/- 0.41, N = 3 SE +/- 0.10, N = 15 SE +/- 0.25, N = 12 SE +/- 0.53, N = 3 SE +/- 0.35, N = 3 SE +/- 0.07, N = 4 SE +/- 0.13, N = 8 SE +/- 0.08, N = 3 SE +/- 0.11, N = 15 SE +/- 0.14, N = 3 SE +/- 0.06, N = 10 SE +/- 0.14, N = 3 SE +/- 0.08, N = 3 SE +/- 0.02, N = 3 SE +/- 0.13, N = 3 SE +/- 0.06, N = 3 31.36 25.61 19.71 19.15 15.71 13.17 13.03 12.96 12.62 12.46 12.12 11.88 11.81 11.30 11.13 11.06 11.02 10.67 10.32 9.20 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: efficientnet-b0 EPYC 7702 EPYC 7662 EPYC 7552 EPYC 7642 EPYC 7532 EPYC 7352 EPYC 7502 EPYC 7502P EPYC 7452 EPYC 7232P EPYC 7542 EPYC 7F72 EPYC 7252 EPYC 7272 EPYC 7F52 EPYC 7302P EPYC 7262 EPYC 7402P EPYC 7F32 EPYC 7282 7 14 21 28 35 Min: 28.68 / Avg: 31.36 / Max: 34.96 Min: 23.45 / Avg: 25.61 / Max: 28.65 Min: 17.57 / Avg: 19.71 / Max: 22.93 Min: 18.51 / Avg: 19.15 / Max: 19.55 Min: 15.22 / Avg: 15.71 / Max: 16.53 Min: 12.46 / Avg: 13.17 / Max: 13.76 Min: 11.97 / Avg: 13.03 / Max: 14.35 Min: 11.95 / Avg: 12.96 / Max: 13.73 Min: 12.23 / Avg: 12.62 / Max: 13.31 Min: 12.33 / Avg: 12.46 / Max: 12.67 Min: 11.88 / Avg: 12.12 / Max: 12.99 Min: 11.74 / Avg: 11.88 / Max: 12.02 Min: 11.3 / Avg: 11.81 / Max: 12.57 Min: 11.05 / Avg: 11.3 / Max: 11.55 Min: 10.85 / Avg: 11.13 / Max: 11.43 Min: 10.85 / Avg: 11.06 / Max: 11.34 Min: 10.9 / Avg: 11.02 / Max: 11.16 Min: 10.65 / Avg: 10.67 / Max: 10.72 Min: 10.15 / Avg: 10.32 / Max: 10.58 Min: 9.12 / Avg: 9.2 / Max: 9.32 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: mnasnet EPYC 7702 EPYC 7662 EPYC 7552 EPYC 7642 EPYC 7532 EPYC 7502 EPYC 7352 EPYC 7452 EPYC 7502P EPYC 7542 EPYC 7F72 EPYC 7F52 EPYC 7232P EPYC 7402P EPYC 7302P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7F32 EPYC 7282 6 12 18 24 30 SE +/- 1.69, N = 3 SE +/- 2.95, N = 3 SE +/- 1.60, N = 3 SE +/- 0.20, N = 3 SE +/- 0.46, N = 3 SE +/- 0.18, N = 12 SE +/- 0.10, N = 15 SE +/- 0.15, N = 3 SE +/- 0.32, N = 2 SE +/- 0.17, N = 8 SE +/- 0.15, N = 3 SE +/- 0.06, N = 10 SE +/- 0.03, N = 4 SE +/- 0.06, N = 3 SE +/- 0.25, N = 3 SE +/- 0.10, N = 15 SE +/- 0.09, N = 3 SE +/- 0.11, N = 3 SE +/- 0.14, N = 3 SE +/- 0.06, N = 3 26.02 21.46 17.06 15.02 11.63 9.98 9.83 9.41 9.35 9.34 9.32 8.49 8.49 8.13 8.10 8.10 7.81 7.71 7.30 6.84 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: mnasnet EPYC 7702 EPYC 7662 EPYC 7552 EPYC 7642 EPYC 7532 EPYC 7502 EPYC 7352 EPYC 7452 EPYC 7502P EPYC 7542 EPYC 7F72 EPYC 7F52 EPYC 7232P EPYC 7402P EPYC 7302P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7F32 EPYC 7282 6 12 18 24 30 Min: 22.65 / Avg: 26.02 / Max: 27.89 Min: 17.43 / Avg: 21.46 / Max: 27.22 Min: 14.96 / Avg: 17.06 / Max: 20.19 Min: 14.65 / Avg: 15.02 / Max: 15.34 Min: 11.07 / Avg: 11.63 / Max: 12.54 Min: 9.11 / Avg: 9.98 / Max: 10.92 Min: 9.41 / Avg: 9.83 / Max: 10.84 Min: 9.22 / Avg: 9.41 / Max: 9.71 Min: 9.03 / Avg: 9.35 / Max: 9.66 Min: 8.9 / Avg: 9.34 / Max: 10.14 Min: 9.12 / Avg: 9.32 / Max: 9.62 Min: 8.21 / Avg: 8.49 / Max: 8.76 Min: 8.4 / Avg: 8.49 / Max: 8.54 Min: 8.03 / Avg: 8.13 / Max: 8.25 Min: 7.62 / Avg: 8.1 / Max: 8.48 Min: 7.49 / Avg: 8.1 / Max: 8.71 Min: 7.63 / Avg: 7.81 / Max: 7.92 Min: 7.5 / Avg: 7.71 / Max: 7.87 Min: 7.08 / Avg: 7.3 / Max: 7.55 Min: 6.76 / Avg: 6.84 / Max: 6.95 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: shufflenet-v2 EPYC 7702 EPYC 7662 EPYC 7552 EPYC 7642 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7352 EPYC 7542 EPYC 7452 EPYC 7F72 EPYC 7F52 EPYC 7302P EPYC 7402P EPYC 7272 EPYC 7262 EPYC 7232P EPYC 7252 EPYC 7282 EPYC 7F32 6 12 18 24 30 SE +/- 2.54, N = 3 SE +/- 1.73, N = 3 SE +/- 0.98, N = 3 SE +/- 0.92, N = 3 SE +/- 0.97, N = 3 SE +/- 0.18, N = 12 SE +/- 0.91, N = 3 SE +/- 0.10, N = 15 SE +/- 0.13, N = 8 SE +/- 0.17, N = 3 SE +/- 0.02, N = 3 SE +/- 0.18, N = 10 SE +/- 0.07, N = 3 SE +/- 0.10, N = 3 SE +/- 0.30, N = 2 SE +/- 0.10, N = 3 SE +/- 0.17, N = 4 SE +/- 0.06, N = 15 SE +/- 0.03, N = 3 SE +/- 0.01, N = 2 25.16 21.77 18.38 16.83 14.43 11.15 10.96 10.84 10.48 10.28 9.92 9.53 9.14 9.09 8.60 8.60 8.36 8.16 8.03 7.76 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: shufflenet-v2 EPYC 7702 EPYC 7662 EPYC 7552 EPYC 7642 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7352 EPYC 7542 EPYC 7452 EPYC 7F72 EPYC 7F52 EPYC 7302P EPYC 7402P EPYC 7272 EPYC 7262 EPYC 7232P EPYC 7252 EPYC 7282 EPYC 7F32 6 12 18 24 30 Min: 21.38 / Avg: 25.16 / Max: 30 Min: 19.2 / Avg: 21.77 / Max: 25.06 Min: 16.55 / Avg: 18.38 / Max: 19.89 Min: 15.43 / Avg: 16.83 / Max: 18.57 Min: 12.87 / Avg: 14.43 / Max: 16.2 Min: 10.02 / Avg: 11.15 / Max: 11.93 Min: 9.99 / Avg: 10.96 / Max: 12.79 Min: 10.18 / Avg: 10.84 / Max: 11.53 Min: 9.97 / Avg: 10.48 / Max: 11.14 Min: 9.94 / Avg: 10.28 / Max: 10.48 Min: 9.88 / Avg: 9.92 / Max: 9.95 Min: 8.94 / Avg: 9.53 / Max: 10.51 Min: 9.03 / Avg: 9.14 / Max: 9.27 Min: 8.92 / Avg: 9.09 / Max: 9.27 Min: 8.3 / Avg: 8.6 / Max: 8.89 Min: 8.43 / Avg: 8.6 / Max: 8.76 Min: 7.94 / Avg: 8.36 / Max: 8.69 Min: 7.92 / Avg: 8.16 / Max: 8.77 Min: 7.98 / Avg: 8.03 / Max: 8.07 Min: 7.75 / Avg: 7.76 / Max: 7.77 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 7702 EPYC 7662 EPYC 7552 EPYC 7642 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7352 EPYC 7452 EPYC 7542 EPYC 7F72 EPYC 7232P EPYC 7F52 EPYC 7302P EPYC 7402P EPYC 7272 EPYC 7252 EPYC 7262 EPYC 7282 EPYC 7F32 6 12 18 24 30 SE +/- 1.63, N = 3 SE +/- 2.05, N = 3 SE +/- 1.62, N = 3 SE +/- 0.33, N = 3 SE +/- 0.36, N = 3 SE +/- 0.19, N = 12 SE +/- 0.65, N = 3 SE +/- 0.07, N = 15 SE +/- 0.08, N = 3 SE +/- 0.12, N = 8 SE +/- 0.02, N = 3 SE +/- 0.14, N = 4 SE +/- 0.11, N = 10 SE +/- 0.04, N = 3 SE +/- 0.07, N = 3 SE +/- 0.13, N = 3 SE +/- 0.08, N = 15 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 SE +/- 0.09, N = 3 27.15 21.05 15.95 15.40 12.08 10.55 10.49 10.21 9.98 9.81 9.41 8.97 8.90 8.63 8.47 8.19 8.18 7.99 7.49 7.42 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 7702 EPYC 7662 EPYC 7552 EPYC 7642 EPYC 7532 EPYC 7502 EPYC 7502P EPYC 7352 EPYC 7452 EPYC 7542 EPYC 7F72 EPYC 7232P EPYC 7F52 EPYC 7302P EPYC 7402P EPYC 7272 EPYC 7252 EPYC 7262 EPYC 7282 EPYC 7F32 6 12 18 24 30 Min: 24.31 / Avg: 27.15 / Max: 29.96 Min: 18.92 / Avg: 21.05 / Max: 25.14 Min: 13.9 / Avg: 15.95 / Max: 19.15 Min: 14.75 / Avg: 15.4 / Max: 15.81 Min: 11.64 / Avg: 12.08 / Max: 12.79 Min: 9.71 / Avg: 10.55 / Max: 11.45 Min: 9.56 / Avg: 10.49 / Max: 11.73 Min: 9.69 / Avg: 10.21 / Max: 10.69 Min: 9.84 / Avg: 9.98 / Max: 10.1 Min: 9.46 / Avg: 9.81 / Max: 10.52 Min: 9.38 / Avg: 9.41 / Max: 9.44 Min: 8.58 / Avg: 8.97 / Max: 9.25 Min: 8.5 / Avg: 8.9 / Max: 9.63 Min: 8.59 / Avg: 8.63 / Max: 8.7 Min: 8.35 / Avg: 8.47 / Max: 8.59 Min: 8.03 / Avg: 8.19 / Max: 8.44 Min: 7.84 / Avg: 8.18 / Max: 8.92 Min: 7.96 / Avg: 7.99 / Max: 8.03 Min: 7.39 / Avg: 7.49 / Max: 7.62 Min: 7.29 / Avg: 7.42 / Max: 7.6 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 7702 EPYC 7662 EPYC 7552 EPYC 7642 EPYC 7532 EPYC 7F52 EPYC 7502P EPYC 7352 EPYC 7502 EPYC 7452 EPYC 7542 EPYC 7F72 EPYC 7232P EPYC 7302P EPYC 7262 EPYC 7402P EPYC 7252 EPYC 7272 EPYC 7F32 EPYC 7282 6 12 18 24 30 SE +/- 1.38, N = 3 SE +/- 3.02, N = 3 SE +/- 1.97, N = 3 SE +/- 0.63, N = 3 SE +/- 0.33, N = 3 SE +/- 3.21, N = 10 SE +/- 0.49, N = 3 SE +/- 0.11, N = 15 SE +/- 0.19, N = 12 SE +/- 0.02, N = 3 SE +/- 0.11, N = 8 SE +/- 0.21, N = 3 SE +/- 0.09, N = 4 SE +/- 0.29, N = 3 SE +/- 0.15, N = 3 SE +/- 0.26, N = 3 SE +/- 0.09, N = 15 SE +/- 0.13, N = 3 SE +/- 0.36, N = 3 SE +/- 0.08, N = 3 26.55 22.90 16.41 16.18 12.63 12.40 10.75 10.64 10.61 10.31 10.07 9.96 9.32 9.12 9.07 9.01 8.96 8.66 8.29 7.77 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 7702 EPYC 7662 EPYC 7552 EPYC 7642 EPYC 7532 EPYC 7F52 EPYC 7502P EPYC 7352 EPYC 7502 EPYC 7452 EPYC 7542 EPYC 7F72 EPYC 7232P EPYC 7302P EPYC 7262 EPYC 7402P EPYC 7252 EPYC 7272 EPYC 7F32 EPYC 7282 6 12 18 24 30 Min: 24.45 / Avg: 26.55 / Max: 29.15 Min: 18.49 / Avg: 22.9 / Max: 28.67 Min: 14.24 / Avg: 16.41 / Max: 20.35 Min: 15.13 / Avg: 16.18 / Max: 17.32 Min: 12.01 / Avg: 12.63 / Max: 13.15 Min: 8.85 / Avg: 12.4 / Max: 41.24 Min: 9.87 / Avg: 10.75 / Max: 11.57 Min: 10.08 / Avg: 10.64 / Max: 11.35 Min: 9.95 / Avg: 10.61 / Max: 11.74 Min: 10.28 / Avg: 10.31 / Max: 10.33 Min: 9.82 / Avg: 10.07 / Max: 10.75 Min: 9.67 / Avg: 9.96 / Max: 10.38 Min: 9.17 / Avg: 9.32 / Max: 9.52 Min: 8.6 / Avg: 9.12 / Max: 9.61 Min: 8.9 / Avg: 9.07 / Max: 9.37 Min: 8.53 / Avg: 9.01 / Max: 9.42 Min: 8.64 / Avg: 8.96 / Max: 9.88 Min: 8.51 / Avg: 8.66 / Max: 8.91 Min: 7.87 / Avg: 8.29 / Max: 9 Min: 7.68 / Avg: 7.77 / Max: 7.94 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 7272 EPYC 7232P EPYC 7302P EPYC 7252 EPYC 7F52 EPYC 7262 EPYC 7352 EPYC 7282 EPYC 7702 EPYC 7552 EPYC 7532 EPYC 7662 EPYC 7F32 EPYC 7402P EPYC 7F72 EPYC 7502P EPYC 7502 EPYC 7642 EPYC 7452 EPYC 7542 3 6 9 12 15 SE +/- 0.168, N = 12 SE +/- 0.174, N = 12 SE +/- 0.201, N = 3 SE +/- 0.125, N = 3 SE +/- 0.377, N = 15 SE +/- 0.100, N = 3 SE +/- 0.130, N = 15 SE +/- 0.144, N = 3 SE +/- 0.244, N = 12 SE +/- 0.300, N = 15 SE +/- 0.175, N = 15 SE +/- 0.188, N = 15 SE +/- 0.082, N = 3 SE +/- 0.122, N = 15 SE +/- 0.263, N = 15 SE +/- 0.050, N = 3 SE +/- 0.301, N = 12 SE +/- 0.145, N = 3 SE +/- 0.188, N = 15 SE +/- 0.188, N = 12 12.611 11.859 11.608 11.582 11.454 11.122 10.433 10.345 10.193 10.125 10.073 10.048 10.034 10.000 9.930 9.489 9.300 9.173 9.113 8.802 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 7272 EPYC 7232P EPYC 7302P EPYC 7252 EPYC 7F52 EPYC 7262 EPYC 7352 EPYC 7282 EPYC 7702 EPYC 7552 EPYC 7532 EPYC 7662 EPYC 7F32 EPYC 7402P EPYC 7F72 EPYC 7502P EPYC 7502 EPYC 7642 EPYC 7452 EPYC 7542 4 8 12 16 20 Min: 11.71 / Avg: 12.61 / Max: 13.62 Min: 10.97 / Avg: 11.86 / Max: 13.05 Min: 11.21 / Avg: 11.61 / Max: 11.81 Min: 11.4 / Avg: 11.58 / Max: 11.82 Min: 9.93 / Avg: 11.45 / Max: 15.85 Min: 10.97 / Avg: 11.12 / Max: 11.31 Min: 9.2 / Avg: 10.43 / Max: 11.2 Min: 10.08 / Avg: 10.34 / Max: 10.57 Min: 9.1 / Avg: 10.19 / Max: 11.94 Min: 8.73 / Avg: 10.12 / Max: 12.48 Min: 9.24 / Avg: 10.07 / Max: 11.28 Min: 8.94 / Avg: 10.05 / Max: 11.4 Min: 9.93 / Avg: 10.03 / Max: 10.2 Min: 9.38 / Avg: 10 / Max: 10.74 Min: 8.95 / Avg: 9.93 / Max: 13.23 Min: 9.42 / Avg: 9.49 / Max: 9.59 Min: 8.31 / Avg: 9.3 / Max: 11.87 Min: 8.88 / Avg: 9.17 / Max: 9.33 Min: 8.35 / Avg: 9.11 / Max: 11.28 Min: 7.85 / Avg: 8.8 / Max: 10.38 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 7252 EPYC 7262 EPYC 7272 EPYC 7F32 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7662 EPYC 7F52 EPYC 7232P EPYC 7452 EPYC 7502 EPYC 7542 EPYC 7702 EPYC 7502P EPYC 7532 EPYC 7F72 EPYC 7552 EPYC 7642 12 24 36 48 60 SE +/- 0.72, N = 12 SE +/- 0.95, N = 12 SE +/- 0.79, N = 12 SE +/- 0.30, N = 3 SE +/- 0.51, N = 3 SE +/- 1.19, N = 12 SE +/- 0.99, N = 15 SE +/- 0.28, N = 3 SE +/- 1.58, N = 15 SE +/- 0.92, N = 15 SE +/- 0.86, N = 15 SE +/- 0.77, N = 15 SE +/- 0.74, N = 15 SE +/- 1.07, N = 15 SE +/- 1.36, N = 12 SE +/- 0.99, N = 15 SE +/- 1.01, N = 12 SE +/- 0.71, N = 5 SE +/- 0.76, N = 15 SE +/- 0.56, N = 8 19.77 23.24 23.41 28.22 29.72 34.01 37.54 42.09 42.79 44.35 44.50 45.93 46.84 47.18 47.28 47.32 52.64 52.73 52.98 54.44 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 7252 EPYC 7262 EPYC 7272 EPYC 7F32 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7662 EPYC 7F52 EPYC 7232P EPYC 7452 EPYC 7502 EPYC 7542 EPYC 7702 EPYC 7502P EPYC 7532 EPYC 7F72 EPYC 7552 EPYC 7642 11 22 33 44 55 Min: 17.06 / Avg: 19.77 / Max: 25.36 Min: 19.86 / Avg: 23.24 / Max: 30.23 Min: 20.23 / Avg: 23.41 / Max: 28.7 Min: 27.66 / Avg: 28.22 / Max: 28.7 Min: 28.72 / Avg: 29.72 / Max: 30.36 Min: 26.12 / Avg: 34.01 / Max: 42.02 Min: 29.32 / Avg: 37.54 / Max: 42.21 Min: 41.72 / Avg: 42.09 / Max: 42.65 Min: 35.13 / Avg: 42.79 / Max: 56.7 Min: 38.89 / Avg: 44.35 / Max: 51.16 Min: 39.8 / Avg: 44.5 / Max: 49.5 Min: 40.11 / Avg: 45.93 / Max: 50.14 Min: 42.17 / Avg: 46.84 / Max: 52.54 Min: 38.21 / Avg: 47.18 / Max: 52.07 Min: 41.69 / Avg: 47.28 / Max: 59.34 Min: 37.01 / Avg: 47.32 / Max: 53.3 Min: 47.11 / Avg: 52.64 / Max: 58.36 Min: 51.28 / Avg: 52.73 / Max: 54.81 Min: 48.06 / Avg: 52.98 / Max: 58.56 Min: 52.63 / Avg: 54.44 / Max: 57.73 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 7262 EPYC 7532 EPYC 7402P EPYC 7642 EPYC 7502P EPYC 7542 EPYC 7352 EPYC 7232P EPYC 7552 EPYC 7702 EPYC 7662 EPYC 7302P EPYC 7452 EPYC 7502 EPYC 7272 EPYC 7252 EPYC 7F32 EPYC 7282 EPYC 7F72 EPYC 7F52 30 60 90 120 150 SE +/- 0.72, N = 3 SE +/- 2.07, N = 15 SE +/- 2.01, N = 15 SE +/- 2.47, N = 15 SE +/- 2.71, N = 15 SE +/- 2.61, N = 15 SE +/- 1.63, N = 3 SE +/- 1.60, N = 6 SE +/- 2.47, N = 15 SE +/- 2.83, N = 15 SE +/- 1.98, N = 15 SE +/- 1.17, N = 15 SE +/- 1.33, N = 15 SE +/- 1.65, N = 3 SE +/- 1.73, N = 5 SE +/- 0.62, N = 3 SE +/- 1.93, N = 3 SE +/- 1.88, N = 3 SE +/- 1.58, N = 3 SE +/- 0.86, N = 3 151.17 146.03 144.79 143.36 141.89 141.16 141.08 140.05 139.95 138.78 138.60 138.33 138.20 136.46 135.07 133.66 125.79 124.81 110.51 107.63 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 7262 EPYC 7532 EPYC 7402P EPYC 7642 EPYC 7502P EPYC 7542 EPYC 7352 EPYC 7232P EPYC 7552 EPYC 7702 EPYC 7662 EPYC 7302P EPYC 7452 EPYC 7502 EPYC 7272 EPYC 7252 EPYC 7F32 EPYC 7282 EPYC 7F72 EPYC 7F52 30 60 90 120 150 Min: 149.88 / Avg: 151.17 / Max: 152.37 Min: 127.95 / Avg: 146.03 / Max: 161.11 Min: 133.15 / Avg: 144.79 / Max: 158.57 Min: 130.15 / Avg: 143.36 / Max: 167.38 Min: 126.74 / Avg: 141.89 / Max: 162.45 Min: 122.96 / Avg: 141.16 / Max: 156.42 Min: 138.87 / Avg: 141.08 / Max: 144.27 Min: 135.25 / Avg: 140.05 / Max: 146.18 Min: 125.42 / Avg: 139.95 / Max: 155.81 Min: 124.21 / Avg: 138.77 / Max: 163.33 Min: 127.6 / Avg: 138.6 / Max: 154.28 Min: 130.88 / Avg: 138.33 / Max: 148.14 Min: 127.33 / Avg: 138.2 / Max: 146.64 Min: 133.23 / Avg: 136.46 / Max: 138.66 Min: 129.68 / Avg: 135.07 / Max: 138.4 Min: 132.72 / Avg: 133.66 / Max: 134.82 Min: 123.73 / Avg: 125.79 / Max: 129.66 Min: 121.19 / Avg: 124.81 / Max: 127.53 Min: 108.42 / Avg: 110.51 / Max: 113.6 Min: 106.19 / Avg: 107.63 / Max: 109.17 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 7262 EPYC 7532 EPYC 7402P EPYC 7642 EPYC 7502P EPYC 7352 EPYC 7542 EPYC 7232P EPYC 7552 EPYC 7302P EPYC 7452 EPYC 7662 EPYC 7702 EPYC 7502 EPYC 7272 EPYC 7252 EPYC 7F32 EPYC 7282 EPYC 7F72 EPYC 7F52 500 1000 1500 2000 2500 SE +/- 7.91, N = 3 SE +/- 24.97, N = 15 SE +/- 23.93, N = 15 SE +/- 28.60, N = 15 SE +/- 33.17, N = 15 SE +/- 20.43, N = 3 SE +/- 33.34, N = 15 SE +/- 20.26, N = 6 SE +/- 31.83, N = 15 SE +/- 15.02, N = 15 SE +/- 17.58, N = 15 SE +/- 25.74, N = 15 SE +/- 34.92, N = 15 SE +/- 22.59, N = 3 SE +/- 24.02, N = 5 SE +/- 8.60, N = 3 SE +/- 30.14, N = 3 SE +/- 30.54, N = 3 SE +/- 32.03, N = 3 SE +/- 18.48, N = 3 1655 1719 1733 1755 1773 1775 1782 1787 1798 1811 1814 1814 1817 1835 1854 1871 1989 2006 2266 2325 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 7262 EPYC 7532 EPYC 7402P EPYC 7642 EPYC 7502P EPYC 7352 EPYC 7542 EPYC 7232P EPYC 7552 EPYC 7302P EPYC 7452 EPYC 7662 EPYC 7702 EPYC 7502 EPYC 7272 EPYC 7252 EPYC 7F32 EPYC 7282 EPYC 7F72 EPYC 7F52 400 800 1200 1600 2000 Min: 1641.56 / Avg: 1654.73 / Max: 1668.9 Min: 1554.13 / Avg: 1719.48 / Max: 1956.56 Min: 1578 / Avg: 1733.28 / Max: 1879.86 Min: 1496.68 / Avg: 1754.82 / Max: 1925.71 Min: 1541.54 / Avg: 1773.47 / Max: 1975.34 Min: 1735.14 / Avg: 1774.96 / Max: 1802.83 Min: 1600.62 / Avg: 1782.32 / Max: 2036.36 Min: 1710.92 / Avg: 1787.13 / Max: 1849.3 Min: 1608.03 / Avg: 1798.43 / Max: 1997.87 Min: 1688.93 / Avg: 1810.62 / Max: 1911.59 Min: 1707.86 / Avg: 1814.13 / Max: 1966.47 Min: 1625.63 / Avg: 1814.23 / Max: 1963.69 Min: 1536.79 / Avg: 1817.28 / Max: 2018.42 Min: 1805.6 / Avg: 1835.48 / Max: 1879.78 Min: 1807.76 / Avg: 1853.51 / Max: 1929.21 Min: 1855.25 / Avg: 1871.36 / Max: 1884.64 Min: 1929.03 / Avg: 1989.26 / Max: 2021.6 Min: 1962.23 / Avg: 2005.65 / Max: 2064.57 Min: 2203.22 / Avg: 2265.83 / Max: 2308.87 Min: 2292.23 / Avg: 2324.96 / Max: 2356.2 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 7232P EPYC 7252 EPYC 7F32 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7F52 EPYC 7532 EPYC 7452 EPYC 7502P EPYC 7542 EPYC 7502 EPYC 7552 EPYC 7642 EPYC 7F72 EPYC 7702 EPYC 7662 1500 3000 4500 6000 7500 SE +/- 21.86, N = 15 SE +/- 18.28, N = 15 SE +/- 47.68, N = 15 SE +/- 36.60, N = 15 SE +/- 23.67, N = 3 SE +/- 61.39, N = 15 SE +/- 39.18, N = 3 SE +/- 43.40, N = 3 SE +/- 31.38, N = 3 SE +/- 18.37, N = 3 SE +/- 102.07, N = 15 SE +/- 75.78, N = 15 SE +/- 53.07, N = 15 SE +/- 57.19, N = 15 SE +/- 52.78, N = 3 SE +/- 64.05, N = 15 SE +/- 71.03, N = 3 SE +/- 0.00, N = 3 SE +/- 111.01, N = 3 SE +/- 56.89, N = 3 1963.31 2035.81 2241.57 2244.31 2336.06 2536.42 3429.08 3631.81 3804.17 3840.41 4255.18 4433.06 4472.15 4503.71 4618.38 5300.22 5362.77 6339.43 6605.06 6770.19 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 7232P EPYC 7252 EPYC 7F32 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7F52 EPYC 7532 EPYC 7452 EPYC 7502P EPYC 7542 EPYC 7502 EPYC 7552 EPYC 7642 EPYC 7F72 EPYC 7702 EPYC 7662 1200 2400 3600 4800 6000 Min: 1740.24 / Avg: 1963.31 / Max: 2032.49 Min: 1929.39 / Avg: 2035.81 / Max: 2130.05 Min: 1901.83 / Avg: 2241.57 / Max: 2398.7 Min: 1849 / Avg: 2244.31 / Max: 2335.58 Min: 2295.31 / Avg: 2336.06 / Max: 2377.29 Min: 2164.68 / Avg: 2536.42 / Max: 2958.4 Min: 3370.33 / Avg: 3429.08 / Max: 3503.37 Min: 3550.08 / Avg: 3631.81 / Max: 3698 Min: 3750.08 / Avg: 3804.17 / Max: 3858.78 Min: 3803.66 / Avg: 3840.41 / Max: 3858.78 Min: 3803.66 / Avg: 4255.18 / Max: 4930.67 Min: 3803.66 / Avg: 4433.06 / Max: 4671.16 Min: 3858.78 / Avg: 4472.15 / Max: 4590.62 Min: 3858.78 / Avg: 4503.71 / Max: 4671.16 Min: 4512.81 / Avg: 4618.38 / Max: 4671.16 Min: 4930.67 / Avg: 5300.22 / Max: 5916.8 Min: 5220.71 / Avg: 5362.77 / Max: 5433.8 Min: 6339.43 / Avg: 6339.43 / Max: 6339.43 Min: 6494.05 / Avg: 6605.06 / Max: 6827.08 Min: 6656.4 / Avg: 6770.19 / Max: 6827.08 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 7232P EPYC 7252 EPYC 7272 EPYC 7262 EPYC 7F32 EPYC 7282 EPYC 7352 EPYC 7302P EPYC 7452 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7402P EPYC 7F72 EPYC 7702 EPYC 7552 EPYC 7532 EPYC 7662 EPYC 7F52 EPYC 7642 1300 2600 3900 5200 6500 SE +/- 1.17, N = 5 SE +/- 2.09, N = 3 SE +/- 79.31, N = 15 SE +/- 48.28, N = 15 SE +/- 55.69, N = 15 SE +/- 6.65, N = 3 SE +/- 95.82, N = 15 SE +/- 6.65, N = 3 SE +/- 3.67, N = 3 SE +/- 1.06, N = 3 SE +/- 3.82, N = 3 SE +/- 1.06, N = 3 SE +/- 27.55, N = 3 SE +/- 243.60, N = 3 SE +/- 100.04, N = 3 SE +/- 6.88, N = 3 SE +/- 249.68, N = 3 SE +/- 0.69, N = 3 SE +/- 19.79, N = 3 SE +/- 2.61, N = 3 2501.23 2586.06 2675.68 2748.41 2815.25 2890.84 4616.84 4953.62 5201.59 5205.82 5205.83 5206.88 5282.86 5630.66 5703.97 5767.29 5841.65 5936.73 6042.82 6148.31 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 7232P EPYC 7252 EPYC 7272 EPYC 7262 EPYC 7F32 EPYC 7282 EPYC 7352 EPYC 7302P EPYC 7452 EPYC 7542 EPYC 7502 EPYC 7502P EPYC 7402P EPYC 7F72 EPYC 7702 EPYC 7552 EPYC 7532 EPYC 7662 EPYC 7F52 EPYC 7642 1100 2200 3300 4400 5500 Min: 2497.13 / Avg: 2501.23 / Max: 2502.99 Min: 2581.88 / Avg: 2586.06 / Max: 2588.15 Min: 2076.07 / Avg: 2675.68 / Max: 2901.97 Min: 2415.02 / Avg: 2748.41 / Max: 3069.23 Min: 2409.56 / Avg: 2815.25 / Max: 3247.02 Min: 2882.34 / Avg: 2890.84 / Max: 2903.95 Min: 3942.1 / Avg: 4616.84 / Max: 5224.97 Min: 4942.11 / Avg: 4953.62 / Max: 4965.15 Min: 5195.24 / Avg: 5201.59 / Max: 5207.94 Min: 5204.76 / Avg: 5205.82 / Max: 5207.94 Min: 5198.41 / Avg: 5205.83 / Max: 5211.13 Min: 5204.76 / Avg: 5206.88 / Max: 5207.94 Min: 5229.25 / Avg: 5282.86 / Max: 5320.69 Min: 5311.84 / Avg: 5630.66 / Max: 6109.12 Min: 5504 / Avg: 5703.97 / Max: 5809.88 Min: 5754.29 / Avg: 5767.29 / Max: 5777.71 Min: 5372.13 / Avg: 5841.65 / Max: 6223.66 Min: 5935.35 / Avg: 5936.73 / Max: 5937.42 Min: 6008.6 / Avg: 6042.82 / Max: 6077.17 Min: 6144.37 / Avg: 6148.31 / Max: 6153.24 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 7642 EPYC 7282 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7272 EPYC 7252 EPYC 7352 EPYC 7542 EPYC 7702 EPYC 7452 EPYC 7532 EPYC 7502P EPYC 7662 EPYC 7262 EPYC 7502 EPYC 7402P EPYC 7F32 EPYC 7F72 EPYC 7F52 5 10 15 20 25 SE +/- 0.63, N = 15 SE +/- 0.73, N = 15 SE +/- 0.67, N = 15 SE +/- 0.27, N = 15 SE +/- 0.87, N = 15 SE +/- 0.23, N = 5 SE +/- 0.18, N = 15 SE +/- 0.07, N = 3 SE +/- 0.26, N = 15 SE +/- 0.23, N = 3 SE +/- 0.33, N = 15 SE +/- 0.05, N = 3 SE +/- 0.39, N = 15 SE +/- 0.01, N = 3 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.14, N = 9 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 18.79 18.58 18.48 18.32 18.05 17.49 17.38 17.37 17.03 16.65 16.52 16.47 16.34 16.21 15.92 15.83 15.74 14.49 14.28 13.67
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Sudokut 0.4 Total Time EPYC 7642 EPYC 7282 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7272 EPYC 7252 EPYC 7352 EPYC 7542 EPYC 7702 EPYC 7452 EPYC 7532 EPYC 7502P EPYC 7662 EPYC 7262 EPYC 7502 EPYC 7402P EPYC 7F32 EPYC 7F72 EPYC 7F52 5 10 15 20 25 Min: 17.66 / Avg: 18.79 / Max: 27.36 Min: 17.09 / Avg: 18.58 / Max: 26.98 Min: 17.47 / Avg: 18.48 / Max: 27.73 Min: 17.74 / Avg: 18.32 / Max: 21.89 Min: 16.4 / Avg: 18.05 / Max: 26.33 Min: 17.2 / Avg: 17.49 / Max: 18.42 Min: 17.01 / Avg: 17.38 / Max: 19.75 Min: 17.27 / Avg: 17.37 / Max: 17.51 Min: 16.44 / Avg: 17.03 / Max: 20.4 Min: 16.31 / Avg: 16.65 / Max: 17.09 Min: 15.82 / Avg: 16.52 / Max: 20.97 Min: 16.37 / Avg: 16.47 / Max: 16.56 Min: 15.79 / Avg: 16.34 / Max: 21.78 Min: 16.2 / Avg: 16.21 / Max: 16.23 Min: 15.8 / Avg: 15.92 / Max: 16.1 Min: 15.77 / Avg: 15.83 / Max: 15.85 Min: 15.73 / Avg: 15.74 / Max: 15.75 Min: 14.13 / Avg: 14.49 / Max: 15.52 Min: 14.26 / Avg: 14.28 / Max: 14.31 Min: 13.65 / Avg: 13.67 / Max: 13.69
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 7262 EPYC 7252 EPYC 7232P EPYC 7F32 EPYC 7272 EPYC 7302P EPYC 7F52 EPYC 7282 EPYC 7352 EPYC 7532 EPYC 7402P EPYC 7452 EPYC 7702 EPYC 7662 EPYC 7502 EPYC 7502P EPYC 7642 EPYC 7552 EPYC 7F72 EPYC 7542 80 160 240 320 400 SE +/- 1.25, N = 3 SE +/- 1.06, N = 3 SE +/- 1.30, N = 3 SE +/- 1.50, N = 3 SE +/- 2.23, N = 6 SE +/- 3.48, N = 12 SE +/- 2.88, N = 13 SE +/- 3.90, N = 12 SE +/- 6.80, N = 12 SE +/- 9.06, N = 12 SE +/- 8.97, N = 12 SE +/- 9.21, N = 12 SE +/- 11.01, N = 12 SE +/- 9.82, N = 12 SE +/- 9.97, N = 12 SE +/- 10.13, N = 12 SE +/- 10.42, N = 12 SE +/- 10.68, N = 12 SE +/- 1.61, N = 3 SE +/- 11.53, N = 12 97.73 106.11 109.04 113.78 188.74 238.57 238.98 243.53 297.54 319.28 326.87 334.92 335.81 344.22 345.90 346.64 348.39 351.36 358.44 361.48 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 7262 EPYC 7252 EPYC 7232P EPYC 7F32 EPYC 7272 EPYC 7302P EPYC 7F52 EPYC 7282 EPYC 7352 EPYC 7532 EPYC 7402P EPYC 7452 EPYC 7702 EPYC 7662 EPYC 7502 EPYC 7502P EPYC 7642 EPYC 7552 EPYC 7F72 EPYC 7542 60 120 180 240 300 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 Min: 110.82 / Avg: 113.78 / Max: 115.67 Min: 177.67 / Avg: 188.74 / Max: 191.63 Min: 200.6 / Avg: 238.57 / Max: 244.7 Min: 205.2 / Avg: 238.98 / Max: 245 Min: 200.8 / Avg: 243.53 / Max: 248.55 Min: 223.13 / Avg: 297.54 / Max: 309.12 Min: 220.02 / Avg: 319.28 / Max: 333.7 Min: 228.66 / Avg: 326.87 / Max: 340.72 Min: 234.28 / Avg: 334.92 / Max: 350.06 Min: 214.9 / Avg: 335.81 / Max: 350.06 Min: 236.59 / Avg: 344.22 / Max: 358.64 Min: 236.5 / Avg: 345.9 / Max: 360.58 Min: 235.57 / Avg: 346.64 / Max: 362.98 Min: 234.1 / Avg: 348.39 / Max: 361.88 Min: 234.28 / Avg: 351.36 / Max: 365.85 Min: 355.24 / Avg: 358.44 / Max: 360.36 Min: 235.48 / Avg: 361.48 / Max: 379.27 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 7662 EPYC 7702 EPYC 7552 EPYC 7232P EPYC 7352 EPYC 7502 EPYC 7452 EPYC 7F32 EPYC 7402P EPYC 7252 EPYC 7642 EPYC 7302P EPYC 7282 EPYC 7502P EPYC 7272 EPYC 7532 EPYC 7542 EPYC 7262 EPYC 7F72 EPYC 7F52 40 80 120 160 200 SE +/- 2.74, N = 15 SE +/- 1.96, N = 15 SE +/- 3.10, N = 15 SE +/- 1.76, N = 3 SE +/- 0.30, N = 3 SE +/- 1.64, N = 4 SE +/- 4.90, N = 15 SE +/- 4.11, N = 12 SE +/- 0.39, N = 3 SE +/- 5.98, N = 15 SE +/- 0.49, N = 3 SE +/- 1.44, N = 4 SE +/- 1.45, N = 15 SE +/- 3.83, N = 15 SE +/- 2.62, N = 15 SE +/- 1.19, N = 3 SE +/- 1.72, N = 15 SE +/- 3.56, N = 15 SE +/- 0.40, N = 3 SE +/- 0.23, N = 3 164.37 162.69 135.92 130.69 128.43 117.90 116.69 116.35 114.82 111.65 110.10 103.72 102.38 97.49 96.21 95.70 92.79 88.75 67.27 58.39 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 7662 EPYC 7702 EPYC 7552 EPYC 7232P EPYC 7352 EPYC 7502 EPYC 7452 EPYC 7F32 EPYC 7402P EPYC 7252 EPYC 7642 EPYC 7302P EPYC 7282 EPYC 7502P EPYC 7272 EPYC 7532 EPYC 7542 EPYC 7262 EPYC 7F72 EPYC 7F52 30 60 90 120 150 Min: 138.95 / Avg: 164.37 / Max: 181.75 Min: 153.2 / Avg: 162.69 / Max: 174.42 Min: 121.23 / Avg: 135.92 / Max: 159.98 Min: 127.21 / Avg: 130.69 / Max: 132.82 Min: 127.84 / Avg: 128.43 / Max: 128.81 Min: 113.07 / Avg: 117.9 / Max: 120.3 Min: 86 / Avg: 116.69 / Max: 132.44 Min: 92.23 / Avg: 116.35 / Max: 134.23 Min: 114.39 / Avg: 114.82 / Max: 115.59 Min: 69.36 / Avg: 111.65 / Max: 138.39 Min: 109.29 / Avg: 110.1 / Max: 110.98 Min: 100.57 / Avg: 103.72 / Max: 106.94 Min: 92.81 / Avg: 102.38 / Max: 112.37 Min: 80.07 / Avg: 97.49 / Max: 115 Min: 82.77 / Avg: 96.21 / Max: 112.24 Min: 93.35 / Avg: 95.7 / Max: 97.15 Min: 81.95 / Avg: 92.79 / Max: 107.52 Min: 74.15 / Avg: 88.75 / Max: 109.73 Min: 66.73 / Avg: 67.27 / Max: 68.06 Min: 57.97 / Avg: 58.39 / Max: 58.77 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7452 EPYC 7352 EPYC 7302P EPYC 7532 EPYC 7402P EPYC 7F52 EPYC 7F72 EPYC 7502 EPYC 7542 EPYC 7552 EPYC 7502P EPYC 7702 EPYC 7662 EPYC 7642 15 30 45 60 75 SE +/- 0.49, N = 3 SE +/- 0.32, N = 3 SE +/- 0.69, N = 15 SE +/- 0.11, N = 3 SE +/- 0.30, N = 3 SE +/- 0.80, N = 15 SE +/- 0.66, N = 4 SE +/- 0.13, N = 3 SE +/- 0.21, N = 3 SE +/- 2.20, N = 12 SE +/- 0.34, N = 3 SE +/- 0.37, N = 4 SE +/- 0.40, N = 15 SE +/- 0.54, N = 15 SE +/- 0.48, N = 15 SE +/- 0.61, N = 12 SE +/- 0.25, N = 3 SE +/- 0.37, N = 3 SE +/- 0.21, N = 15 SE +/- 0.23, N = 15 66.89 66.44 62.73 54.81 51.78 50.11 45.83 35.70 34.28 30.87 29.56 27.95 27.32 27.09 26.85 23.30 21.95 21.59 20.11 18.97 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 7232P EPYC 7252 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7452 EPYC 7352 EPYC 7302P EPYC 7532 EPYC 7402P EPYC 7F52 EPYC 7F72 EPYC 7502 EPYC 7542 EPYC 7552 EPYC 7502P EPYC 7702 EPYC 7662 EPYC 7642 13 26 39 52 65 Min: 66.25 / Avg: 66.89 / Max: 67.85 Min: 66.1 / Avg: 66.44 / Max: 67.07 Min: 58.95 / Avg: 62.73 / Max: 67.52 Min: 54.67 / Avg: 54.81 / Max: 55.02 Min: 51.46 / Avg: 51.78 / Max: 52.37 Min: 44.96 / Avg: 50.11 / Max: 56.21 Min: 43.96 / Avg: 45.83 / Max: 47.03 Min: 35.47 / Avg: 35.7 / Max: 35.93 Min: 33.87 / Avg: 34.28 / Max: 34.57 Min: 22.93 / Avg: 30.87 / Max: 52.08 Min: 29.08 / Avg: 29.56 / Max: 30.22 Min: 27.11 / Avg: 27.95 / Max: 28.77 Min: 23.37 / Avg: 27.32 / Max: 28.84 Min: 24.2 / Avg: 27.09 / Max: 31.21 Min: 24.74 / Avg: 26.85 / Max: 30.62 Min: 20.54 / Avg: 23.3 / Max: 27.57 Min: 21.63 / Avg: 21.95 / Max: 22.43 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 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 7452 EPYC 7542 EPYC 7552 EPYC 7532 EPYC 7232P EPYC 7282 EPYC 7F32 EPYC 7352 EPYC 7502 EPYC 7662 EPYC 7402P EPYC 7702 EPYC 7642 EPYC 7262 EPYC 7F72 EPYC 7272 EPYC 7502P EPYC 7252 EPYC 7302P EPYC 7F52 120 240 360 480 600 SE +/- 12.76, N = 14 SE +/- 31.42, N = 12 SE +/- 5.66, N = 15 SE +/- 6.21, N = 15 SE +/- 4.11, N = 5 SE +/- 2.08, N = 3 SE +/- 4.45, N = 15 SE +/- 11.26, N = 15 SE +/- 16.69, N = 15 SE +/- 20.04, N = 15 SE +/- 7.12, N = 15 SE +/- 9.46, N = 14 SE +/- 5.24, N = 3 SE +/- 1.45, N = 3 SE +/- 1.15, N = 3 SE +/- 3.76, N = 3 SE +/- 1.45, N = 3 SE +/- 3.38, N = 3 234 260 262 296 321 333 337 347 410 420 475 482 484 516 517 518 529 530 533 563 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 7452 EPYC 7542 EPYC 7552 EPYC 7532 EPYC 7232P EPYC 7282 EPYC 7F32 EPYC 7352 EPYC 7502 EPYC 7662 EPYC 7402P EPYC 7702 EPYC 7642 EPYC 7262 EPYC 7F72 EPYC 7272 EPYC 7502P EPYC 7252 EPYC 7302P EPYC 7F52 100 200 300 400 500 Min: 188 / Avg: 234.43 / Max: 384 Min: 184 / Avg: 260.17 / Max: 519 Min: 229 / Avg: 262.07 / Max: 326 Min: 255 / Avg: 296.4 / Max: 351 Min: 311 / Avg: 321.4 / Max: 335 Min: 329 / Avg: 333 / Max: 336 Min: 318 / Avg: 337.47 / Max: 377 Min: 238 / Avg: 346.93 / Max: 407 Min: 280 / Avg: 409.53 / Max: 524 Min: 282 / Avg: 419.87 / Max: 503 Min: 425 / Avg: 475.2 / Max: 515 Min: 375 / Avg: 482.29 / Max: 512 Min: 474 / Avg: 483.67 / Max: 492 Min: 515 / Avg: 517.33 / Max: 520 Min: 516 / Avg: 518 / Max: 520 Min: 522 / Avg: 528.67 / Max: 535 Min: 527 / Avg: 529.67 / Max: 532 Min: 556 / Avg: 562.67 / Max: 567 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 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7352 EPYC 7302P EPYC 7402P EPYC 7502 EPYC 7F52 EPYC 7452 EPYC 7532 EPYC 7552 EPYC 7F72 EPYC 7502P EPYC 7542 EPYC 7662 EPYC 7702 EPYC 7642 200 400 600 800 1000 SE +/- 10.58, N = 15 SE +/- 2.93, N = 3 SE +/- 0.39, N = 3 SE +/- 3.52, N = 3 SE +/- 3.69, N = 3 SE +/- 2.71, N = 3 SE +/- 4.51, N = 3 SE +/- 0.89, N = 3 SE +/- 0.99, N = 3 SE +/- 15.40, N = 14 SE +/- 1.85, N = 3 SE +/- 11.73, N = 15 SE +/- 7.08, N = 3 SE +/- 10.65, N = 15 SE +/- 4.46, N = 3 SE +/- 4.31, N = 3 SE +/- 17.83, N = 12 SE +/- 14.16, N = 15 SE +/- 7.11, N = 3 SE +/- 13.69, N = 3 141.22 175.49 206.13 220.92 271.74 346.25 362.45 367.57 396.26 431.69 456.91 487.74 509.24 576.21 599.53 606.34 653.71 694.25 772.58 796.30 1. (CXX) g++ options: -rdynamic
Result Confidence
OpenBenchmarking.org GFLOPS, More Is Better ArrayFire 3.7 Test: BLAS CPU EPYC 7252 EPYC 7232P EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7282 EPYC 7352 EPYC 7302P EPYC 7402P EPYC 7502 EPYC 7F52 EPYC 7452 EPYC 7532 EPYC 7552 EPYC 7F72 EPYC 7502P EPYC 7542 EPYC 7662 EPYC 7702 EPYC 7642 140 280 420 560 700 Min: 103.12 / Avg: 141.22 / Max: 185.75 Min: 172.22 / Avg: 175.49 / Max: 181.35 Min: 205.42 / Avg: 206.13 / Max: 206.74 Min: 216.26 / Avg: 220.92 / Max: 227.82 Min: 265.5 / Avg: 271.74 / Max: 278.29 Min: 343.18 / Avg: 346.25 / Max: 351.65 Min: 354.07 / Avg: 362.45 / Max: 369.54 Min: 366.05 / Avg: 367.57 / Max: 369.13 Min: 394.83 / Avg: 396.26 / Max: 398.16 Min: 397.82 / Avg: 431.69 / Max: 624.49 Min: 453.26 / Avg: 456.91 / Max: 459.2 Min: 409.82 / Avg: 487.74 / Max: 551.45 Min: 496.76 / Avg: 509.24 / Max: 521.25 Min: 473.19 / Avg: 576.2 / Max: 636.28 Min: 594.65 / Avg: 599.53 / Max: 608.44 Min: 598.79 / Avg: 606.34 / Max: 613.71 Min: 463.09 / Avg: 653.71 / Max: 684.82 Min: 594.64 / Avg: 694.25 / Max: 820.64 Min: 758.61 / Avg: 772.58 / Max: 781.84 Min: 773.92 / Avg: 796.3 / Max: 821.15 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 7532 EPYC 7272 EPYC 7232P EPYC 7282 EPYC 7502 EPYC 7402P EPYC 7452 EPYC 7552 EPYC 7542 EPYC 7252 EPYC 7F32 EPYC 7352 EPYC 7642 EPYC 7302P EPYC 7662 EPYC 7702 EPYC 7502P EPYC 7262 EPYC 7F72 EPYC 7F52 800 1600 2400 3200 4000 SE +/- 19.67, N = 3 SE +/- 200.91, N = 3 SE +/- 318.01, N = 3 SE +/- 242.72, N = 3 SE +/- 422.20, N = 3 SE +/- 441.67, N = 3 SE +/- 493.42, N = 3 SE +/- 440.15, N = 3 SE +/- 495.38, N = 3 SE +/- 129.50, N = 3 SE +/- 548.83, N = 3 SE +/- 7.15, N = 3 SE +/- 2.08, N = 3 SE +/- 6.61, N = 3 SE +/- 2.71, N = 3 SE +/- 1.18, N = 3 SE +/- 0.07, N = 3 SE +/- 6.93, N = 3 SE +/- 1.49, N = 3 SE +/- 12.02, N = 3 1701.71 2211.14 2249.65 2320.51 2514.98 2521.24 2612.89 2616.75 2652.66 2658.82 2832.36 2902.87 3049.43 3057.21 3069.17 3094.40 3112.17 3132.86 3436.63 3607.20 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 7532 EPYC 7272 EPYC 7232P EPYC 7282 EPYC 7502 EPYC 7402P EPYC 7452 EPYC 7552 EPYC 7542 EPYC 7252 EPYC 7F32 EPYC 7352 EPYC 7642 EPYC 7302P EPYC 7662 EPYC 7702 EPYC 7502P EPYC 7262 EPYC 7F72 EPYC 7F52 600 1200 1800 2400 3000 Min: 1681.92 / Avg: 1701.71 / Max: 1741.04 Min: 1922.03 / Avg: 2211.14 / Max: 2597.38 Min: 1645.77 / Avg: 2249.65 / Max: 2724.44 Min: 2016.82 / Avg: 2320.51 / Max: 2800.33 Min: 1700.09 / Avg: 2514.98 / Max: 3114.09 Min: 1656.97 / Avg: 2521.24 / Max: 3111.49 Min: 1626.06 / Avg: 2612.89 / Max: 3108.82 Min: 1736.48 / Avg: 2616.75 / Max: 3063.37 Min: 1661.91 / Avg: 2652.66 / Max: 3150.08 Min: 2445.92 / Avg: 2658.82 / Max: 2893.01 Min: 1753.8 / Avg: 2832.36 / Max: 3548.23 Min: 2892.68 / Avg: 2902.87 / Max: 2916.64 Min: 3045.64 / Avg: 3049.43 / Max: 3052.79 Min: 3049.05 / Avg: 3057.21 / Max: 3070.3 Min: 3065.99 / Avg: 3069.17 / Max: 3074.55 Min: 3092.13 / Avg: 3094.4 / Max: 3096.1 Min: 3112.04 / Avg: 3112.17 / Max: 3112.26 Min: 3119.77 / Avg: 3132.86 / Max: 3143.35 Min: 3434.39 / Avg: 3436.63 / Max: 3439.46 Min: 3584.25 / Avg: 3607.2 / Max: 3624.86 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 7532 EPYC 7232P EPYC 7272 EPYC 7552 EPYC 7452 EPYC 7402P EPYC 7502 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7352 EPYC 7302P EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7502P EPYC 7262 EPYC 7F32 EPYC 7F72 EPYC 7F52 300 600 900 1200 1500 SE +/- 47.01, N = 3 SE +/- 71.13, N = 3 SE +/- 64.65, N = 3 SE +/- 81.52, N = 3 SE +/- 75.65, N = 3 SE +/- 68.19, N = 3 SE +/- 82.14, N = 3 SE +/- 81.65, N = 3 SE +/- 20.11, N = 3 SE +/- 4.60, N = 3 SE +/- 2.18, N = 3 SE +/- 4.96, N = 3 SE +/- 0.49, N = 3 SE +/- 1.27, N = 3 SE +/- 1.62, N = 3 SE +/- 3.28, N = 3 SE +/- 3.55, N = 3 SE +/- 82.02, N = 3 SE +/- 3.54, N = 3 SE +/- 1.04, N = 3 848.08 894.15 901.96 929.80 936.27 942.29 947.33 952.81 955.20 960.86 964.85 1000.90 1002.31 1008.78 1018.42 1021.83 1029.57 1079.45 1114.68 1175.98 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 7532 EPYC 7232P EPYC 7272 EPYC 7552 EPYC 7452 EPYC 7402P EPYC 7502 EPYC 7542 EPYC 7282 EPYC 7252 EPYC 7352 EPYC 7302P EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7502P EPYC 7262 EPYC 7F32 EPYC 7F72 EPYC 7F52 200 400 600 800 1000 Min: 785.58 / Avg: 848.08 / Max: 940.15 Min: 752.08 / Avg: 894.15 / Max: 971.61 Min: 772.85 / Avg: 901.96 / Max: 972.66 Min: 766.8 / Avg: 929.8 / Max: 1014.44 Min: 785.84 / Avg: 936.27 / Max: 1025.47 Min: 806.83 / Avg: 942.29 / Max: 1023.79 Min: 783.13 / Avg: 947.33 / Max: 1033.92 Min: 789.57 / Avg: 952.81 / Max: 1038.11 Min: 915.2 / Avg: 955.2 / Max: 978.93 Min: 954.7 / Avg: 960.86 / Max: 969.85 Min: 961.16 / Avg: 964.85 / Max: 968.71 Min: 993.83 / Avg: 1000.9 / Max: 1010.46 Min: 1001.8 / Avg: 1002.31 / Max: 1003.3 Min: 1006.3 / Avg: 1008.78 / Max: 1010.53 Min: 1015.67 / Avg: 1018.42 / Max: 1021.29 Min: 1015.81 / Avg: 1021.83 / Max: 1027.1 Min: 1025.21 / Avg: 1029.57 / Max: 1036.6 Min: 915.99 / Avg: 1079.45 / Max: 1173.22 Min: 1110.44 / Avg: 1114.68 / Max: 1121.72 Min: 1174.88 / Avg: 1175.98 / Max: 1178.07 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 7532 EPYC 7452 EPYC 7402P EPYC 7232P EPYC 7542 EPYC 7502 EPYC 7272 EPYC 7552 EPYC 7F32 EPYC 7252 EPYC 7352 EPYC 7282 EPYC 7302P EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7502P EPYC 7262 EPYC 7F72 EPYC 7F52 50 100 150 200 250 SE +/- 0.55, N = 3 SE +/- 48.56, N = 3 SE +/- 48.53, N = 3 SE +/- 45.74, N = 3 SE +/- 47.26, N = 3 SE +/- 50.46, N = 3 SE +/- 46.05, N = 3 SE +/- 51.82, N = 3 SE +/- 59.48, N = 3 SE +/- 45.94, N = 3 SE +/- 4.10, N = 3 SE +/- 2.94, N = 3 SE +/- 0.21, N = 3 SE +/- 0.18, N = 3 SE +/- 0.34, N = 3 SE +/- 0.34, N = 3 SE +/- 1.61, N = 3 SE +/- 0.43, N = 3 SE +/- 0.67, N = 3 SE +/- 0.41, N = 3 59.16 136.16 136.32 138.46 142.76 152.26 153.02 155.45 165.44 177.20 208.87 215.39 217.13 217.61 218.05 219.29 220.75 222.53 238.95 246.84 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 7532 EPYC 7452 EPYC 7402P EPYC 7232P EPYC 7542 EPYC 7502 EPYC 7272 EPYC 7552 EPYC 7F32 EPYC 7252 EPYC 7352 EPYC 7282 EPYC 7302P EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7502P EPYC 7262 EPYC 7F72 EPYC 7F52 40 80 120 160 200 Min: 58.56 / Avg: 59.16 / Max: 60.27 Min: 52.74 / Avg: 136.16 / Max: 220.93 Min: 52.37 / Avg: 136.32 / Max: 220.49 Min: 50.36 / Avg: 138.46 / Max: 203.87 Min: 54.01 / Avg: 142.76 / Max: 215.31 Min: 53.81 / Avg: 152.26 / Max: 220.66 Min: 62.31 / Avg: 153.02 / Max: 212.16 Min: 52.37 / Avg: 155.45 / Max: 216.32 Min: 59.02 / Avg: 165.44 / Max: 264.68 Min: 85.34 / Avg: 177.2 / Max: 224.62 Min: 201.85 / Avg: 208.87 / Max: 216.06 Min: 210.51 / Avg: 215.39 / Max: 220.66 Min: 216.85 / Avg: 217.13 / Max: 217.53 Min: 217.32 / Avg: 217.61 / Max: 217.93 Min: 217.48 / Avg: 218.05 / Max: 218.65 Min: 218.94 / Avg: 219.29 / Max: 219.97 Min: 217.94 / Avg: 220.75 / Max: 223.53 Min: 221.98 / Avg: 222.53 / Max: 223.37 Min: 237.63 / Avg: 238.95 / Max: 239.78 Min: 246.02 / Avg: 246.84 / Max: 247.31 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 7532 EPYC 7272 EPYC 7282 EPYC 7232P EPYC 7402P EPYC 7502 EPYC 7252 EPYC 7352 EPYC 7452 EPYC 7552 EPYC 7642 EPYC 7302P EPYC 7542 EPYC 7662 EPYC 7702 EPYC 7502P EPYC 7F32 EPYC 7262 EPYC 7F72 EPYC 7F52 300 600 900 1200 1500 SE +/- 9.24, N = 3 SE +/- 9.53, N = 15 SE +/- 14.92, N = 15 SE +/- 19.13, N = 12 SE +/- 25.76, N = 12 SE +/- 24.59, N = 12 SE +/- 18.61, N = 3 SE +/- 2.55, N = 3 SE +/- 29.87, N = 12 SE +/- 29.19, N = 12 SE +/- 0.53, N = 3 SE +/- 2.35, N = 3 SE +/- 31.69, N = 12 SE +/- 0.30, N = 3 SE +/- 0.48, N = 3 SE +/- 0.26, N = 3 SE +/- 30.94, N = 12 SE +/- 1.94, N = 3 SE +/- 0.36, N = 3 SE +/- 2.36, N = 3 919.11 982.41 999.97 1069.16 1121.56 1134.81 1146.70 1196.83 1221.20 1228.75 1253.87 1255.12 1257.83 1259.32 1271.07 1277.04 1285.35 1289.24 1406.47 1478.66 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 7532 EPYC 7272 EPYC 7282 EPYC 7232P EPYC 7402P EPYC 7502 EPYC 7252 EPYC 7352 EPYC 7452 EPYC 7552 EPYC 7642 EPYC 7302P EPYC 7542 EPYC 7662 EPYC 7702 EPYC 7502P EPYC 7F32 EPYC 7262 EPYC 7F72 EPYC 7F52 300 600 900 1200 1500 Min: 901.96 / Avg: 919.11 / Max: 933.64 Min: 939.13 / Avg: 982.41 / Max: 1071.56 Min: 948.09 / Avg: 999.97 / Max: 1184.38 Min: 874.4 / Avg: 1069.16 / Max: 1158.71 Min: 907.36 / Avg: 1121.56 / Max: 1260.46 Min: 910.18 / Avg: 1134.81 / Max: 1270.44 Min: 1112.88 / Avg: 1146.7 / Max: 1177.09 Min: 1193.47 / Avg: 1196.83 / Max: 1201.83 Min: 895.88 / Avg: 1221.2 / Max: 1276.33 Min: 907.78 / Avg: 1228.75 / Max: 1260.03 Min: 1252.91 / Avg: 1253.87 / Max: 1254.73 Min: 1252.74 / Avg: 1255.12 / Max: 1259.81 Min: 909.58 / Avg: 1257.83 / Max: 1297.69 Min: 1258.72 / Avg: 1259.32 / Max: 1259.65 Min: 1270.13 / Avg: 1271.07 / Max: 1271.69 Min: 1276.54 / Avg: 1277.04 / Max: 1277.4 Min: 1014.45 / Avg: 1285.35 / Max: 1450.78 Min: 1285.92 / Avg: 1289.24 / Max: 1292.64 Min: 1405.9 / Avg: 1406.47 / Max: 1407.13 Min: 1474.13 / Avg: 1478.66 / Max: 1482.06 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7F32 EPYC 7282 EPYC 7702 EPYC 7662 EPYC 7302P EPYC 7402P EPYC 7352 EPYC 7532 EPYC 7552 EPYC 7F52 EPYC 7F72 EPYC 7642 EPYC 7502 EPYC 7542 EPYC 7502P EPYC 7452 100 200 300 400 500 SE +/- 15.81, N = 25 SE +/- 14.80, N = 25 SE +/- 15.21, N = 25 SE +/- 1.52, N = 5 SE +/- 12.51, N = 25 SE +/- 22.93, N = 25 SE +/- 25.67, N = 25 SE +/- 21.47, N = 25 SE +/- 11.79, N = 25 SE +/- 14.93, N = 25 SE +/- 14.00, N = 25 SE +/- 23.32, N = 20 SE +/- 21.33, N = 25 SE +/- 11.04, N = 25 SE +/- 13.97, N = 25 SE +/- 11.21, N = 25 SE +/- 15.99, N = 20 SE +/- 13.49, N = 25 SE +/- 11.31, N = 25 SE +/- 1.64, N = 5 466.72 441.46 432.49 370.48 368.41 364.78 287.37 282.25 276.42 275.81 271.20 269.25 268.58 250.68 246.88 243.14 241.79 241.25 231.51 204.36
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better Renaissance 0.10.0 Test: Apache Spark Bayes EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7F32 EPYC 7282 EPYC 7702 EPYC 7662 EPYC 7302P EPYC 7402P EPYC 7352 EPYC 7532 EPYC 7552 EPYC 7F52 EPYC 7F72 EPYC 7642 EPYC 7502 EPYC 7542 EPYC 7502P EPYC 7452 80 160 240 320 400 Min: 386.04 / Avg: 466.72 / Max: 622.34 Min: 381.45 / Avg: 441.46 / Max: 592.92 Min: 361.13 / Avg: 432.49 / Max: 579.95 Min: 366.9 / Avg: 370.48 / Max: 375.93 Min: 316.64 / Avg: 368.41 / Max: 507.82 Min: 211.41 / Avg: 364.78 / Max: 468.13 Min: 192.05 / Avg: 287.37 / Max: 640.46 Min: 193.18 / Avg: 282.25 / Max: 625.34 Min: 206.33 / Avg: 276.42 / Max: 340.46 Min: 199.24 / Avg: 275.81 / Max: 366.89 Min: 217.65 / Avg: 271.19 / Max: 387.98 Min: 189.88 / Avg: 269.25 / Max: 637.24 Min: 189.05 / Avg: 268.58 / Max: 624.53 Min: 170.97 / Avg: 250.68 / Max: 320.09 Min: 175.84 / Avg: 246.88 / Max: 335.73 Min: 188.94 / Avg: 243.14 / Max: 319.52 Min: 185.18 / Avg: 241.79 / Max: 384.77 Min: 180.66 / Avg: 241.25 / Max: 373.27 Min: 186.86 / Avg: 231.51 / Max: 348.08 Min: 200.37 / Avg: 204.36 / Max: 208.19
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 7252 EPYC 7232P EPYC 7F32 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7F52 EPYC 7402P EPYC 7452 EPYC 7F72 EPYC 7502 EPYC 7532 EPYC 7502P EPYC 7542 EPYC 7702 EPYC 7552 EPYC 7642 EPYC 7662 5 10 15 20 25 SE +/- 0.114, N = 15 SE +/- 0.005, N = 3 SE +/- 0.185, N = 15 SE +/- 0.007, N = 3 SE +/- 0.205, N = 12 SE +/- 0.130, N = 15 SE +/- 0.199, N = 13 SE +/- 0.105, N = 3 SE +/- 0.137, N = 6 SE +/- 0.177, N = 15 SE +/- 0.177, N = 3 SE +/- 0.090, N = 3 SE +/- 0.242, N = 15 SE +/- 0.203, N = 5 SE +/- 0.211, N = 15 SE +/- 0.215, N = 15 SE +/- 0.232, N = 3 SE +/- 0.230, N = 15 SE +/- 0.228, N = 15 SE +/- 0.063, N = 3 4.120 5.179 5.351 5.629 5.981 9.199 9.909 9.911 11.802 13.636 15.005 15.031 15.390 15.923 16.068 16.291 17.483 18.500 18.868 20.733 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 7252 EPYC 7232P EPYC 7F32 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7F52 EPYC 7402P EPYC 7452 EPYC 7F72 EPYC 7502 EPYC 7532 EPYC 7502P EPYC 7542 EPYC 7702 EPYC 7552 EPYC 7642 EPYC 7662 5 10 15 20 25 Min: 3.76 / Avg: 4.12 / Max: 5.14 Min: 5.17 / Avg: 5.18 / Max: 5.19 Min: 4.56 / Avg: 5.35 / Max: 6.38 Min: 5.62 / Avg: 5.63 / Max: 5.64 Min: 5.4 / Avg: 5.98 / Max: 7.44 Min: 8.19 / Avg: 9.2 / Max: 9.67 Min: 7.78 / Avg: 9.91 / Max: 10.32 Min: 9.7 / Avg: 9.91 / Max: 10.04 Min: 11.32 / Avg: 11.8 / Max: 12.16 Min: 11.81 / Avg: 13.64 / Max: 14.45 Min: 14.83 / Avg: 15.01 / Max: 15.36 Min: 14.86 / Avg: 15.03 / Max: 15.17 Min: 13.7 / Avg: 15.39 / Max: 16.83 Min: 15.54 / Avg: 15.92 / Max: 16.65 Min: 13.91 / Avg: 16.07 / Max: 17.1 Min: 14.81 / Avg: 16.29 / Max: 17.5 Min: 17.07 / Avg: 17.48 / Max: 17.88 Min: 17.42 / Avg: 18.5 / Max: 20.22 Min: 17.98 / Avg: 18.87 / Max: 20.52 Min: 20.64 / Avg: 20.73 / Max: 20.85 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 7532 EPYC 7302P EPYC 7262 EPYC 7F72 EPYC 7662 EPYC 7F52 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7282 EPYC 7252 EPYC 7452 EPYC 7502 EPYC 7352 EPYC 7F32 EPYC 7272 EPYC 7702 EPYC 7642 EPYC 7232P EPYC 7402P 9K 18K 27K 36K 45K SE +/- 11.31, N = 3 SE +/- 6.76, N = 3 SE +/- 7.64, N = 3 SE +/- 7.94, N = 3 SE +/- 583.46, N = 15 SE +/- 1015.18, N = 15 SE +/- 1247.03, N = 15 SE +/- 1430.66, N = 15 SE +/- 1424.04, N = 15 SE +/- 1278.01, N = 15 SE +/- 711.02, N = 15 SE +/- 1302.14, N = 15 SE +/- 1308.67, N = 15 SE +/- 652.75, N = 15 SE +/- 586.59, N = 3 SE +/- 104.09, N = 3 SE +/- 84.86, N = 3 SE +/- 262.24, N = 3 SE +/- 57.07, N = 3 SE +/- 57.49, N = 3 29592.44 29733.57 29752.76 29855.75 30578.87 31875.18 33147.39 34154.76 36193.24 36438.99 37495.07 37812.30 37912.29 38609.83 39389.32 40098.62 40334.91 40458.23 40558.04 40792.92 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 7532 EPYC 7302P EPYC 7262 EPYC 7F72 EPYC 7662 EPYC 7F52 EPYC 7502P EPYC 7542 EPYC 7552 EPYC 7282 EPYC 7252 EPYC 7452 EPYC 7502 EPYC 7352 EPYC 7F32 EPYC 7272 EPYC 7702 EPYC 7642 EPYC 7232P EPYC 7402P 7K 14K 21K 28K 35K Min: 29573.86 / Avg: 29592.44 / Max: 29612.91 Min: 29723.86 / Avg: 29733.57 / Max: 29746.57 Min: 29743.69 / Avg: 29752.76 / Max: 29767.94 Min: 29845.63 / Avg: 29855.75 / Max: 29871.4 Min: 29669.64 / Avg: 30578.87 / Max: 36747.81 Min: 29896.6 / Avg: 31875.18 / Max: 41391.48 Min: 29697.43 / Avg: 33147.39 / Max: 40789.11 Min: 29697.37 / Avg: 34154.76 / Max: 40916.91 Min: 29591.39 / Avg: 36193.24 / Max: 40756.03 Min: 29762.68 / Avg: 36438.99 / Max: 40720.85 Min: 32725.36 / Avg: 37495.07 / Max: 40076.38 Min: 29689.09 / Avg: 37812.3 / Max: 40880.42 Min: 29776 / Avg: 37912.29 / Max: 41166.9 Min: 32113.62 / Avg: 38609.83 / Max: 40643.86 Min: 38770.78 / Avg: 39389.32 / Max: 40561.91 Min: 39971.87 / Avg: 40098.62 / Max: 40305.01 Min: 40187.86 / Avg: 40334.91 / Max: 40481.82 Min: 39956.62 / Avg: 40458.23 / Max: 40841.69 Min: 40474.32 / Avg: 40558.04 / Max: 40667.1 Min: 40715.13 / Avg: 40792.92 / Max: 40905.15 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 7532 EPYC 7F72 EPYC 7502P EPYC 7542 EPYC 7662 EPYC 7552 EPYC 7282 EPYC 7702 EPYC 7272 EPYC 7232P EPYC 7252 EPYC 7452 EPYC 7262 EPYC 7F32 EPYC 7352 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7F52 EPYC 7502 10K 20K 30K 40K 50K SE +/- 10.39, N = 3 SE +/- 13.00, N = 3 SE +/- 479.86, N = 3 SE +/- 1238.87, N = 15 SE +/- 1607.53, N = 15 SE +/- 1586.62, N = 15 SE +/- 1655.33, N = 15 SE +/- 1473.07, N = 12 SE +/- 1144.65, N = 15 SE +/- 1719.43, N = 12 SE +/- 605.87, N = 4 SE +/- 1258.25, N = 15 SE +/- 1250.59, N = 15 SE +/- 431.79, N = 9 SE +/- 673.18, N = 3 SE +/- 26.84, N = 3 SE +/- 111.00, N = 3 SE +/- 312.09, N = 3 SE +/- 167.17, N = 3 SE +/- 326.35, N = 3 30795.24 30954.76 31430.04 32746.75 34465.10 34508.28 39609.55 39856.39 39879.28 39912.22 42471.92 42824.88 42868.08 43604.57 43731.73 44086.19 44173.72 44525.20 44653.46 44796.65 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 7532 EPYC 7F72 EPYC 7502P EPYC 7542 EPYC 7662 EPYC 7552 EPYC 7282 EPYC 7702 EPYC 7272 EPYC 7232P EPYC 7252 EPYC 7452 EPYC 7262 EPYC 7F32 EPYC 7352 EPYC 7642 EPYC 7402P EPYC 7302P EPYC 7F52 EPYC 7502 8K 16K 24K 32K 40K Min: 30777.85 / Avg: 30795.24 / Max: 30813.79 Min: 30928.79 / Avg: 30954.76 / Max: 30968.63 Min: 30933.72 / Avg: 31430.04 / Max: 32389.56 Min: 30899.28 / Avg: 32746.75 / Max: 44718.56 Min: 30757.27 / Avg: 34465.1 / Max: 45059.28 Min: 30711.53 / Avg: 34508.28 / Max: 44831.88 Min: 30905.95 / Avg: 39609.55 / Max: 44976.02 Min: 30861.15 / Avg: 39856.39 / Max: 45375.85 Min: 30735.34 / Avg: 39879.28 / Max: 44320.16 Min: 30839.49 / Avg: 39912.22 / Max: 44942.72 Min: 40736.88 / Avg: 42471.92 / Max: 43372.52 Min: 30852 / Avg: 42824.88 / Max: 45551.95 Min: 30970.36 / Avg: 42868.08 / Max: 45395.84 Min: 40992.79 / Avg: 43604.57 / Max: 45136.73 Min: 42436.77 / Avg: 43731.73 / Max: 44698.31 Min: 44054.6 / Avg: 44086.19 / Max: 44139.58 Min: 43953.63 / Avg: 44173.72 / Max: 44308.89 Min: 44078.73 / Avg: 44525.2 / Max: 45126.2 Min: 44325.37 / Avg: 44653.46 / Max: 44873.2 Min: 44145.93 / Avg: 44796.65 / Max: 45166.05 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 7532 EPYC 7502P EPYC 7302P EPYC 7542 EPYC 7642 EPYC 7502 EPYC 7F52 EPYC 7452 EPYC 7F72 EPYC 7702 EPYC 7662 EPYC 7232P EPYC 7252 EPYC 7282 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7352 EPYC 7552 EPYC 7402P 8K 16K 24K 32K 40K SE +/- 7.75, N = 3 SE +/- 21.16, N = 3 SE +/- 991.03, N = 15 SE +/- 809.42, N = 15 SE +/- 1193.70, N = 15 SE +/- 1184.84, N = 15 SE +/- 1117.17, N = 15 SE +/- 1361.34, N = 15 SE +/- 1393.40, N = 15 SE +/- 1304.15, N = 12 SE +/- 1423.80, N = 15 SE +/- 1342.99, N = 15 SE +/- 1027.10, N = 12 SE +/- 1005.60, N = 15 SE +/- 805.76, N = 15 SE +/- 453.53, N = 6 SE +/- 595.11, N = 3 SE +/- 259.53, N = 3 SE +/- 281.32, N = 3 SE +/- 190.07, N = 3 28833.07 28922.64 30300.97 30650.76 31400.38 31886.75 31998.12 32972.78 33193.10 34333.32 34675.89 34824.99 35780.10 36075.79 37752.01 38204.50 38287.21 39129.02 39290.98 39500.82 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 7532 EPYC 7502P EPYC 7302P EPYC 7542 EPYC 7642 EPYC 7502 EPYC 7F52 EPYC 7452 EPYC 7F72 EPYC 7702 EPYC 7662 EPYC 7232P EPYC 7252 EPYC 7282 EPYC 7262 EPYC 7F32 EPYC 7272 EPYC 7352 EPYC 7552 EPYC 7402P 7K 14K 21K 28K 35K Min: 28817.58 / Avg: 28833.07 / Max: 28841.12 Min: 28897.62 / Avg: 28922.64 / Max: 28964.71 Min: 28779.54 / Avg: 30300.97 / Max: 39971.89 Min: 28877.33 / Avg: 30650.76 / Max: 37858.63 Min: 28556.23 / Avg: 31400.38 / Max: 38984.63 Min: 28786.75 / Avg: 31886.75 / Max: 40051.06 Min: 29021.31 / Avg: 31998.12 / Max: 39806.02 Min: 28842.8 / Avg: 32972.78 / Max: 40047.41 Min: 28912.46 / Avg: 33193.1 / Max: 40197.83 Min: 28806.96 / Avg: 34333.32 / Max: 39623.27 Min: 28796.99 / Avg: 34675.89 / Max: 39936.31 Min: 28802.15 / Avg: 34824.99 / Max: 39755.82 Min: 28785.93 / Avg: 35780.1 / Max: 38995.76 Min: 28858.64 / Avg: 36075.79 / Max: 39965.31 Min: 28871.15 / Avg: 37752.01 / Max: 40001.21 Min: 36621.29 / Avg: 38204.5 / Max: 39661.73 Min: 37254.45 / Avg: 38287.21 / Max: 39315.97 Min: 38835.57 / Avg: 39129.02 / Max: 39646.52 Min: 38805.87 / Avg: 39290.98 / Max: 39780.38 Min: 39229.86 / Avg: 39500.82 / Max: 39867.21 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 7532 EPYC 7542 EPYC 7502 EPYC 7552 EPYC 7662 EPYC 7502P EPYC 7282 EPYC 7232P EPYC 7272 EPYC 7452 EPYC 7252 EPYC 7702 EPYC 7352 EPYC 7F32 EPYC 7402P EPYC 7642 EPYC 7262 EPYC 7302P EPYC 7F72 EPYC 7F52 8K 16K 24K 32K 40K SE +/- 1.86, N = 3 SE +/- 20.47, N = 3 SE +/- 535.38, N = 14 SE +/- 830.97, N = 15 SE +/- 926.99, N = 15 SE +/- 884.91, N = 15 SE +/- 878.51, N = 15 SE +/- 900.70, N = 15 SE +/- 605.24, N = 15 SE +/- 888.64, N = 15 SE +/- 505.40, N = 15 SE +/- 754.39, N = 15 SE +/- 379.71, N = 15 SE +/- 316.68, N = 10 SE +/- 624.60, N = 12 SE +/- 112.67, N = 3 SE +/- 78.47, N = 3 SE +/- 54.01, N = 3 SE +/- 71.12, N = 3 SE +/- 57.19, N = 3 28516.07 28648.25 29143.48 30290.94 30957.09 31028.93 31690.52 33225.43 33289.76 33375.87 33796.07 34096.66 34859.66 35283.08 35348.11 35410.82 35993.47 35997.33 36296.45 36650.26 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 7532 EPYC 7542 EPYC 7502 EPYC 7552 EPYC 7662 EPYC 7502P EPYC 7282 EPYC 7232P EPYC 7272 EPYC 7452 EPYC 7252 EPYC 7702 EPYC 7352 EPYC 7F32 EPYC 7402P EPYC 7642 EPYC 7262 EPYC 7302P EPYC 7F72 EPYC 7F52 6K 12K 18K 24K 30K Min: 28514.02 / Avg: 28516.07 / Max: 28519.78 Min: 28608.01 / Avg: 28648.25 / Max: 28674.85 Min: 28548.66 / Avg: 29143.48 / Max: 36102.48 Min: 28386.9 / Avg: 30290.94 / Max: 35939.81 Min: 28467.39 / Avg: 30957.09 / Max: 36036.16 Min: 28488.68 / Avg: 31028.93 / Max: 36158.98 Min: 28467.99 / Avg: 31690.52 / Max: 36046.92 Min: 28424.7 / Avg: 33225.43 / Max: 35855.69 Min: 28386 / Avg: 33289.76 / Max: 35700.74 Min: 28511.86 / Avg: 33375.87 / Max: 36057.31 Min: 29768.36 / Avg: 33796.07 / Max: 35632.71 Min: 28489.67 / Avg: 34096.66 / Max: 36095.19 Min: 30696.8 / Avg: 34859.66 / Max: 35822.28 Min: 33173.71 / Avg: 35283.08 / Max: 36199.16 Min: 28486.35 / Avg: 35348.11 / Max: 36099.77 Min: 35267.72 / Avg: 35410.82 / Max: 35633.12 Min: 35840.78 / Avg: 35993.47 / Max: 36101.24 Min: 35901.3 / Avg: 35997.33 / Max: 36088.2 Min: 36205.85 / Avg: 36296.45 / Max: 36436.71 Min: 36536.09 / Avg: 36650.26 / Max: 36713.44 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 7502 EPYC 7662 EPYC 7532 EPYC 7542 EPYC 7642 EPYC 7502P EPYC 7232P EPYC 7F52 EPYC 7282 EPYC 7252 EPYC 7272 EPYC 7702 EPYC 7402P EPYC 7262 EPYC 7352 EPYC 7F32 EPYC 7452 EPYC 7F72 EPYC 7552 EPYC 7302P 9K 18K 27K 36K 45K SE +/- 373.43, N = 13 SE +/- 795.56, N = 15 SE +/- 780.64, N = 15 SE +/- 874.93, N = 15 SE +/- 1453.80, N = 15 SE +/- 1500.19, N = 15 SE +/- 1470.68, N = 15 SE +/- 1767.24, N = 12 SE +/- 1264.73, N = 15 SE +/- 1025.97, N = 15 SE +/- 1073.34, N = 15 SE +/- 1241.24, N = 15 SE +/- 1166.90, N = 15 SE +/- 1332.08, N = 15 SE +/- 492.75, N = 15 SE +/- 523.42, N = 3 SE +/- 608.18, N = 4 SE +/- 285.80, N = 3 SE +/- 42.49, N = 3 SE +/- 105.39, N = 3 31137.04 31516.89 31770.21 32096.98 34934.58 35252.61 36365.94 36546.04 37214.09 37826.40 38461.11 39537.66 39574.47 39802.05 41379.54 41386.61 42122.70 42539.39 42701.74 42792.16 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 7502 EPYC 7662 EPYC 7532 EPYC 7542 EPYC 7642 EPYC 7502P EPYC 7232P EPYC 7F52 EPYC 7282 EPYC 7252 EPYC 7272 EPYC 7702 EPYC 7402P EPYC 7262 EPYC 7352 EPYC 7F32 EPYC 7452 EPYC 7F72 EPYC 7552 EPYC 7302P 7K 14K 21K 28K 35K Min: 30718.74 / Avg: 31137.04 / Max: 35616.86 Min: 30659.38 / Avg: 31516.89 / Max: 42653.89 Min: 30621.49 / Avg: 31770.21 / Max: 41410.02 Min: 30840.22 / Avg: 32096.98 / Max: 43103.18 Min: 30463.06 / Avg: 34934.58 / Max: 42519.99 Min: 30703.43 / Avg: 35252.61 / Max: 42875.53 Min: 30678.26 / Avg: 36365.94 / Max: 42678.53 Min: 31012.57 / Avg: 36546.04 / Max: 43442.72 Min: 30700.49 / Avg: 37214.09 / Max: 42664.5 Min: 30450.13 / Avg: 37826.4 / Max: 41664.04 Min: 31707.88 / Avg: 38461.11 / Max: 42120.8 Min: 30632.91 / Avg: 39537.66 / Max: 42785.08 Min: 30763.21 / Avg: 39574.47 / Max: 42896.97 Min: 30778.85 / Avg: 39802.05 / Max: 42975.71 Min: 36500.03 / Avg: 41379.54 / Max: 42631.69 Min: 40397.09 / Avg: 41386.61 / Max: 42177.24 Min: 40298.4 / Avg: 42122.7 / Max: 42759.19 Min: 42011.63 / Avg: 42539.39 / Max: 42993.4 Min: 42627.17 / Avg: 42701.74 / Max: 42774.31 Min: 42583.25 / Avg: 42792.16 / Max: 42920.88 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.