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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 4 8 12 16 20 SE +/- 0.079585, N = 15 SE +/- 0.042595, N = 3 SE +/- 0.017368, N = 3 SE +/- 0.031130, N = 3 SE +/- 0.060143, N = 3 SE +/- 0.148138, N = 3 SE +/- 0.089451, N = 3 SE +/- 0.105342, N = 3 SE +/- 0.050387, N = 3 SE +/- 0.111318, N = 3 SE +/- 0.032837, N = 3 SE +/- 0.118524, N = 15 SE +/- 0.016232, N = 3 SE +/- 0.039936, N = 3 SE +/- 0.077277, N = 3 SE +/- 0.194041, N = 3 SE +/- 0.249884, N = 3 SE +/- 0.267671, N = 3 SE +/- 0.075924, N = 3 SE +/- 0.044903, N = 3 9.308025 3.613094 2.717810 2.583445 4.499071 9.218407 6.740164 9.732388 6.194514 8.907940 2.969549 12.678299 1.667038 5.054392 7.273022 13.770619 15.188358 16.544917 9.488085 7.513536 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 4 8 12 16 20 Min: 8.67 / Avg: 9.31 / Max: 9.63 Min: 3.53 / Avg: 3.61 / Max: 3.67 Min: 2.69 / Avg: 2.72 / Max: 2.74 Min: 2.54 / Avg: 2.58 / Max: 2.64 Min: 4.42 / Avg: 4.5 / Max: 4.62 Min: 8.94 / Avg: 9.22 / Max: 9.44 Min: 6.59 / Avg: 6.74 / Max: 6.9 Min: 9.53 / Avg: 9.73 / Max: 9.89 Min: 6.14 / Avg: 6.19 / Max: 6.29 Min: 8.75 / Avg: 8.91 / Max: 9.12 Min: 2.92 / Avg: 2.97 / Max: 3.03 Min: 11.57 / Avg: 12.68 / Max: 13.15 Min: 1.64 / Avg: 1.67 / Max: 1.7 Min: 4.99 / Avg: 5.05 / Max: 5.12 Min: 7.17 / Avg: 7.27 / Max: 7.43 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 Min: 9.38 / Avg: 9.49 / Max: 9.63 Min: 7.44 / Avg: 7.51 / Max: 7.59 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 200 400 600 800 1000 SE +/- 1.49, N = 3 SE +/- 0.75, N = 3 SE +/- 0.48, N = 3 SE +/- 0.27, N = 3 SE +/- 0.99, N = 3 SE +/- 0.49, N = 3 SE +/- 1.19, N = 3 SE +/- 0.86, N = 3 SE +/- 0.37, N = 3 SE +/- 2.15, N = 3 SE +/- 0.44, N = 3 SE +/- 1.69, N = 3 SE +/- 0.16, N = 3 SE +/- 0.91, N = 3 SE +/- 0.44, N = 3 SE +/- 3.65, N = 3 SE +/- 0.14, N = 3 SE +/- 1.24, N = 3 SE +/- 1.84, N = 3 SE +/- 0.29, N = 3 482.08 186.52 111.22 116.86 252.79 481.77 344.22 448.37 230.59 474.52 115.82 700.86 118.38 228.74 363.24 679.67 904.46 922.75 483.78 352.52 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 160 320 480 640 800 Min: 479.91 / Avg: 482.08 / Max: 484.94 Min: 185.02 / Avg: 186.52 / Max: 187.35 Min: 110.53 / Avg: 111.22 / Max: 112.15 Min: 116.48 / Avg: 116.86 / Max: 117.39 Min: 250.98 / Avg: 252.79 / Max: 254.38 Min: 481.21 / Avg: 481.77 / Max: 482.74 Min: 341.85 / Avg: 344.22 / Max: 345.65 Min: 447.48 / Avg: 448.37 / Max: 450.08 Min: 229.85 / Avg: 230.59 / Max: 231.04 Min: 470.58 / Avg: 474.52 / Max: 477.98 Min: 115.15 / Avg: 115.82 / Max: 116.65 Min: 697.7 / Avg: 700.86 / Max: 703.5 Min: 118.19 / Avg: 118.38 / Max: 118.69 Min: 226.95 / Avg: 228.74 / Max: 229.95 Min: 362.51 / Avg: 363.24 / Max: 364.04 Min: 673.23 / Avg: 679.67 / Max: 685.86 Min: 904.23 / Avg: 904.46 / Max: 904.72 Min: 920.64 / Avg: 922.75 / Max: 924.95 Min: 481.18 / Avg: 483.78 / Max: 487.34 Min: 351.94 / Avg: 352.52 / Max: 352.84 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 2M 4M 6M 8M 10M SE +/- 25409.49, N = 3 SE +/- 1404.08, N = 3 SE +/- 1503.17, N = 3 SE +/- 2002.32, N = 3 SE +/- 2401.91, N = 3 SE +/- 33103.80, N = 3 SE +/- 2929.41, N = 3 SE +/- 6229.17, N = 3 SE +/- 10192.76, N = 3 SE +/- 20238.04, N = 3 SE +/- 643.25, N = 3 SE +/- 17764.90, N = 3 SE +/- 699.96, N = 3 SE +/- 3591.62, N = 3 SE +/- 15685.26, N = 3 SE +/- 7510.98, N = 3 SE +/- 8815.15, N = 3 SE +/- 36035.92, N = 3 SE +/- 4978.84, N = 3 SE +/- 4355.00, N = 3 4353781.68 1655038.96 1068384.20 1081054.66 2217376.84 4395637.93 3189832.78 4389847.95 2296867.17 4372996.35 1123267.36 6519097.16 1081706.29 2155404.24 3235018.08 6435677.98 8681304.25 8774129.37 4353954.55 3398307.36 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: Semaphores EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 1.5M 3M 4.5M 6M 7.5M Min: 4316973 / Avg: 4353781.68 / Max: 4402530.17 Min: 1652768.13 / Avg: 1655038.96 / Max: 1657605.05 Min: 1066535.45 / Avg: 1068384.2 / Max: 1071361.67 Min: 1077860.45 / Avg: 1081054.66 / Max: 1084743.56 Min: 2212830.65 / Avg: 2217376.84 / Max: 2220994.04 Min: 4361662.69 / Avg: 4395637.93 / Max: 4461837.82 Min: 3184238.18 / Avg: 3189832.78 / Max: 3194136.61 Min: 4379647.09 / Avg: 4389847.95 / Max: 4401142.29 Min: 2282258.59 / Avg: 2296867.17 / Max: 2316484.82 Min: 4340438.81 / Avg: 4372996.35 / Max: 4410101.54 Min: 1121983.91 / Avg: 1123267.36 / Max: 1123985.77 Min: 6484408.43 / Avg: 6519097.16 / Max: 6543096.92 Min: 1080345.15 / Avg: 1081706.29 / Max: 1082670.26 Min: 2149676.3 / Avg: 2155404.24 / Max: 2162022.17 Min: 3203671.95 / Avg: 3235018.08 / Max: 3251762.1 Min: 6422749.86 / Avg: 6435677.98 / Max: 6448767.17 Min: 8668605.07 / Avg: 8681304.25 / Max: 8698244.81 Min: 8703722.9 / Avg: 8774129.37 / Max: 8822672.77 Min: 4344204.7 / Avg: 4353954.55 / Max: 4360582.14 Min: 3392892.99 / Avg: 3398307.36 / Max: 3406923.14 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 16K 32K 48K 64K 80K SE +/- 50.84, N = 3 SE +/- 58.71, N = 3 SE +/- 22.52, N = 3 SE +/- 33.95, N = 3 SE +/- 2.73, N = 3 SE +/- 66.64, N = 3 SE +/- 111.57, N = 3 SE +/- 8.37, N = 3 SE +/- 17.90, N = 3 SE +/- 99.32, N = 3 SE +/- 20.85, N = 3 SE +/- 39.72, N = 3 SE +/- 5.36, N = 3 SE +/- 20.42, N = 3 SE +/- 78.29, N = 3 SE +/- 27.43, N = 3 SE +/- 108.39, N = 3 SE +/- 107.31, N = 3 SE +/- 25.03, N = 3 SE +/- 170.86, N = 3 44279 15594 11685 10441 22039 45255 29439 43396 26828 41176 12832 61138 11027 22695 34101 61922 66272 74411 44348 37810 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 13K 26K 39K 52K 65K Min: 44202 / Avg: 44279 / Max: 44375 Min: 15480 / Avg: 15593.67 / Max: 15676 Min: 11640 / Avg: 11684.67 / Max: 11712 Min: 10374 / Avg: 10441 / Max: 10484 Min: 22034 / Avg: 22039.33 / Max: 22043 Min: 45181 / Avg: 45255 / Max: 45388 Min: 29217 / Avg: 29439.33 / Max: 29567 Min: 43382 / Avg: 43396.33 / Max: 43411 Min: 26793 / Avg: 26828.33 / Max: 26851 Min: 40978 / Avg: 41176.33 / Max: 41285 Min: 12793 / Avg: 12832.33 / Max: 12864 Min: 61064 / Avg: 61138 / Max: 61200 Min: 11017 / Avg: 11027.33 / Max: 11035 Min: 22665 / Avg: 22695 / Max: 22734 Min: 34015 / Avg: 34100.67 / Max: 34257 Min: 61891 / Avg: 61922.33 / Max: 61977 Min: 66135 / Avg: 66272 / Max: 66486 Min: 74216 / Avg: 74411.33 / Max: 74586 Min: 44298 / Avg: 44348 / Max: 44375 Min: 37499 / Avg: 37810.33 / Max: 38088 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 5K 10K 15K 20K 25K SE +/- 21.35, N = 3 SE +/- 28.38, N = 3 SE +/- 34.49, N = 3 SE +/- 11.11, N = 3 SE +/- 16.02, N = 3 SE +/- 87.55, N = 3 SE +/- 11.41, N = 3 SE +/- 20.90, N = 3 SE +/- 41.36, N = 3 SE +/- 31.91, N = 3 SE +/- 33.82, N = 3 SE +/- 88.84, N = 3 SE +/- 15.00, N = 3 SE +/- 3.65, N = 3 SE +/- 82.07, N = 3 SE +/- 100.29, N = 3 SE +/- 93.46, N = 3 SE +/- 36.02, N = 3 SE +/- 96.28, N = 3 SE +/- 18.81, N = 3 11782.77 4506.58 3230.19 3024.05 5717.26 11865.34 8387.53 11978.84 6955.53 11239.19 3674.27 16615.54 3032.55 5909.26 8849.73 17243.37 21019.80 21376.10 11749.88 10130.61 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 4K 8K 12K 16K 20K Min: 11740.66 / Avg: 11782.77 / Max: 11809.98 Min: 4449.94 / Avg: 4506.58 / Max: 4537.94 Min: 3192.87 / Avg: 3230.19 / Max: 3299.1 Min: 3010.7 / Avg: 3024.05 / Max: 3046.1 Min: 5692.55 / Avg: 5717.26 / Max: 5747.29 Min: 11690.46 / Avg: 11865.34 / Max: 11960.53 Min: 8369.21 / Avg: 8387.53 / Max: 8408.46 Min: 11940.43 / Avg: 11978.84 / Max: 12012.32 Min: 6878.65 / Avg: 6955.53 / Max: 7020.43 Min: 11198.19 / Avg: 11239.19 / Max: 11302.04 Min: 3615.45 / Avg: 3674.27 / Max: 3732.59 Min: 16439.03 / Avg: 16615.54 / Max: 16721.45 Min: 3005.06 / Avg: 3032.55 / Max: 3056.68 Min: 5901.98 / Avg: 5909.26 / Max: 5913.34 Min: 8752.21 / Avg: 8849.73 / Max: 9012.83 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 Min: 11558.57 / Avg: 11749.88 / Max: 11864.54 Min: 10093.48 / Avg: 10130.61 / Max: 10154.39 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 6K 12K 18K 24K 30K SE +/- 107.37, N = 3 SE +/- 5.52, N = 3 SE +/- 0.82, N = 3 SE +/- 6.17, N = 3 SE +/- 13.09, N = 3 SE +/- 54.92, N = 3 SE +/- 13.62, N = 3 SE +/- 22.13, N = 3 SE +/- 0.93, N = 3 SE +/- 16.15, N = 3 SE +/- 6.67, N = 3 SE +/- 56.63, N = 3 SE +/- 37.46, N = 3 SE +/- 13.64, N = 3 SE +/- 17.40, N = 3 SE +/- 14.24, N = 3 SE +/- 20.84, N = 3 SE +/- 183.24, N = 3 SE +/- 61.05, N = 3 SE +/- 24.25, N = 3 18723.61 6551.42 4376.88 4463.04 9710.46 20075.53 11838.88 16112.28 9632.78 16906.29 4813.33 23914.70 4157.14 8843.63 13267.26 22787.21 26399.13 29381.07 19121.22 14162.60 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 5K 10K 15K 20K 25K Min: 18509.29 / Avg: 18723.61 / Max: 18842.47 Min: 6541.02 / Avg: 6551.42 / Max: 6559.83 Min: 4375.53 / Avg: 4376.88 / Max: 4378.35 Min: 4452.92 / Avg: 4463.04 / Max: 4474.2 Min: 9685.99 / Avg: 9710.46 / Max: 9730.76 Min: 19967.16 / Avg: 20075.53 / Max: 20145.19 Min: 11812.28 / Avg: 11838.88 / Max: 11857.28 Min: 16069.26 / Avg: 16112.28 / Max: 16142.81 Min: 9631.57 / Avg: 9632.78 / Max: 9634.61 Min: 16874.31 / Avg: 16906.29 / Max: 16926.14 Min: 4800.61 / Avg: 4813.33 / Max: 4823.16 Min: 23815.23 / Avg: 23914.7 / Max: 24011.34 Min: 4085.57 / Avg: 4157.14 / Max: 4212.12 Min: 8816.35 / Avg: 8843.63 / Max: 8857.35 Min: 13243.23 / Avg: 13267.26 / Max: 13301.06 Min: 22765.93 / Avg: 22787.21 / Max: 22814.23 Min: 26362.89 / Avg: 26399.13 / Max: 26435.08 Min: 29139.87 / Avg: 29381.07 / Max: 29740.62 Min: 19019.2 / Avg: 19121.22 / Max: 19230.34 Min: 14134.41 / Avg: 14162.6 / Max: 14210.87 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 6K 12K 18K 24K 30K SE +/- 33.89, N = 3 SE +/- 8.61, N = 3 SE +/- 3.95, N = 3 SE +/- 5.11, N = 3 SE +/- 47.23, N = 3 SE +/- 105.19, N = 3 SE +/- 7.81, N = 3 SE +/- 3.90, N = 3 SE +/- 8.85, N = 3 SE +/- 61.19, N = 3 SE +/- 1.21, N = 3 SE +/- 69.23, N = 3 SE +/- 6.39, N = 3 SE +/- 24.93, N = 3 SE +/- 94.67, N = 3 SE +/- 48.36, N = 3 SE +/- 21.64, N = 3 SE +/- 124.62, N = 3 SE +/- 95.18, N = 3 SE +/- 29.68, N = 3 18654.33 6553.65 4377.26 4461.19 9634.72 20072.56 11890.05 16165.30 9658.17 16765.72 4791.20 24039.13 4161.93 8690.07 13173.76 22849.66 26400.82 29367.21 18803.44 14247.65 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 5K 10K 15K 20K 25K Min: 18617.18 / Avg: 18654.33 / Max: 18722.01 Min: 6542.06 / Avg: 6553.65 / Max: 6570.47 Min: 4372.44 / Avg: 4377.26 / Max: 4385.09 Min: 4453.13 / Avg: 4461.19 / Max: 4470.66 Min: 9543.58 / Avg: 9634.72 / Max: 9701.76 Min: 19928.28 / Avg: 20072.56 / Max: 20277.29 Min: 11875.61 / Avg: 11890.05 / Max: 11902.45 Min: 16158.84 / Avg: 16165.3 / Max: 16172.32 Min: 9642.33 / Avg: 9658.17 / Max: 9672.92 Min: 16649.67 / Avg: 16765.72 / Max: 16857.38 Min: 4788.78 / Avg: 4791.2 / Max: 4792.51 Min: 23957.88 / Avg: 24039.13 / Max: 24176.84 Min: 4152.56 / Avg: 4161.93 / Max: 4174.13 Min: 8640.29 / Avg: 8690.07 / Max: 8717.28 Min: 12985.33 / Avg: 13173.76 / Max: 13284.11 Min: 22764.7 / Avg: 22849.66 / Max: 22932.16 Min: 26376.32 / Avg: 26400.82 / Max: 26443.96 Min: 29117.97 / Avg: 29367.21 / Max: 29493.71 Min: 18695.04 / Avg: 18803.44 / Max: 18993.16 Min: 14196.17 / Avg: 14247.65 / Max: 14299 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 90K 180K 270K 360K 450K SE +/- 136.87, N = 3 SE +/- 7.74, N = 3 SE +/- 14.51, N = 3 SE +/- 11.30, N = 3 SE +/- 2.57, N = 3 SE +/- 23.85, N = 3 SE +/- 6.59, N = 3 SE +/- 154.60, N = 3 SE +/- 49.61, N = 3 SE +/- 241.85, N = 3 SE +/- 5.55, N = 3 SE +/- 446.26, N = 3 SE +/- 13.07, N = 3 SE +/- 1.03, N = 3 SE +/- 70.64, N = 3 SE +/- 29.41, N = 3 SE +/- 83.51, N = 3 SE +/- 358.04, N = 3 SE +/- 170.79, N = 3 SE +/- 478.76, N = 3 237815.92 87046.58 61366.13 57748.24 117313.44 241837.62 164870.78 231415.93 142745.02 221038.57 70550.59 327568.79 57789.41 120965.20 183035.44 331524.05 396445.89 400119.36 237835.68 198355.57 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 70K 140K 210K 280K 350K Min: 237557.24 / Avg: 237815.92 / Max: 238022.8 Min: 87038.08 / Avg: 87046.58 / Max: 87062.04 Min: 61337.3 / Avg: 61366.13 / Max: 61383.41 Min: 57729.89 / Avg: 57748.24 / Max: 57768.83 Min: 117308.69 / Avg: 117313.44 / Max: 117317.53 Min: 241796.34 / Avg: 241837.62 / Max: 241878.96 Min: 164858.89 / Avg: 164870.78 / Max: 164881.64 Min: 231107.25 / Avg: 231415.93 / Max: 231585.92 Min: 142645.8 / Avg: 142745.02 / Max: 142795.63 Min: 220563.4 / Avg: 221038.57 / Max: 221354.45 Min: 70544.38 / Avg: 70550.59 / Max: 70561.67 Min: 327108.52 / Avg: 327568.79 / Max: 328461.17 Min: 57765.31 / Avg: 57789.41 / Max: 57810.22 Min: 120963.15 / Avg: 120965.2 / Max: 120966.42 Min: 182894.29 / Avg: 183035.44 / Max: 183111.31 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 Min: 237534.61 / Avg: 237835.68 / Max: 238125.95 Min: 197658.29 / Avg: 198355.57 / Max: 199272.52 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 3K 6K 9K 12K 15K SE +/- 0.48, N = 3 SE +/- 0.72, N = 3 SE +/- 0.64, N = 3 SE +/- 0.55, N = 3 SE +/- 0.25, N = 3 SE +/- 1.54, N = 3 SE +/- 0.65, N = 3 SE +/- 3.92, N = 3 SE +/- 1.70, N = 3 SE +/- 1.27, N = 3 SE +/- 0.42, N = 3 SE +/- 2.07, N = 3 SE +/- 0.38, N = 3 SE +/- 0.80, N = 3 SE +/- 1.87, N = 3 SE +/- 0.23, N = 3 SE +/- 6.95, N = 3 SE +/- 0.76, N = 3 SE +/- 0.83, N = 3 SE +/- 9.11, N = 3 7393.3 2794.5 1971.6 1855.0 3757.1 7757.8 5221.3 7180.2 4574.4 6850.1 2264.8 9912.0 1878.6 3873.2 5854.8 10299.8 11503.7 12330.2 7396.3 6350.7 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 2K 4K 6K 8K 10K Min: 7392.8 / Avg: 7393.33 / Max: 7394.3 Min: 2793.6 / Avg: 2794.47 / Max: 2795.9 Min: 1970.4 / Avg: 1971.57 / Max: 1972.6 Min: 1853.9 / Avg: 1855 / Max: 1855.6 Min: 3756.8 / Avg: 3757.1 / Max: 3757.6 Min: 7755.5 / Avg: 7757.77 / Max: 7760.7 Min: 5220 / Avg: 5221.3 / Max: 5222 Min: 7172.5 / Avg: 7180.17 / Max: 7185.4 Min: 4571.2 / Avg: 4574.37 / Max: 4577 Min: 6848.7 / Avg: 6850.07 / Max: 6852.6 Min: 2264.3 / Avg: 2264.77 / Max: 2265.6 Min: 9907.9 / Avg: 9912.03 / Max: 9914.1 Min: 1878 / Avg: 1878.63 / Max: 1879.3 Min: 3872.2 / Avg: 3873.23 / Max: 3874.8 Min: 5851.2 / Avg: 5854.77 / Max: 5857.5 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 Min: 7394.7 / Avg: 7396.27 / Max: 7397.5 Min: 6340.8 / Avg: 6350.7 / Max: 6368.9 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 200 400 600 800 1000 SE +/- 0.71, N = 3 SE +/- 0.20, N = 3 SE +/- 0.12, N = 3 SE +/- 1.02, N = 3 SE +/- 0.32, N = 3 SE +/- 4.13, N = 3 SE +/- 2.33, N = 3 SE +/- 2.78, N = 3 SE +/- 0.27, N = 3 SE +/- 0.23, N = 3 SE +/- 0.90, N = 3 SE +/- 4.10, N = 3 SE +/- 0.74, N = 3 SE +/- 0.19, N = 3 SE +/- 3.07, N = 3 SE +/- 4.53, N = 3 SE +/- 2.39, N = 3 SE +/- 5.03, N = 3 SE +/- 0.34, N = 3 SE +/- 0.86, N = 3 677.19 257.99 182.67 173.04 346.53 718.59 480.83 661.64 424.32 624.86 209.03 928.80 169.35 358.21 542.30 942.93 1099.57 1120.67 677.26 587.94 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 200 400 600 800 1000 Min: 676.36 / Avg: 677.19 / Max: 678.59 Min: 257.74 / Avg: 257.99 / Max: 258.38 Min: 182.43 / Avg: 182.67 / Max: 182.8 Min: 171.01 / Avg: 173.04 / Max: 174.18 Min: 345.97 / Avg: 346.53 / Max: 347.07 Min: 710.47 / Avg: 718.59 / Max: 723.95 Min: 477.89 / Avg: 480.83 / Max: 485.42 Min: 658.47 / Avg: 661.64 / Max: 667.18 Min: 423.84 / Avg: 424.32 / Max: 424.79 Min: 624.58 / Avg: 624.86 / Max: 625.31 Min: 207.24 / Avg: 209.03 / Max: 210.15 Min: 923.85 / Avg: 928.8 / Max: 936.93 Min: 167.87 / Avg: 169.35 / Max: 170.21 Min: 357.94 / Avg: 358.21 / Max: 358.57 Min: 538.27 / Avg: 542.3 / Max: 548.34 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 Min: 676.7 / Avg: 677.26 / Max: 677.88 Min: 587.03 / Avg: 587.94 / Max: 589.65 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 3K 6K 9K 12K 15K SE +/- 1.37, N = 3 SE +/- 4.50, N = 3 SE +/- 0.52, N = 3 SE +/- 2.12, N = 3 SE +/- 5.50, N = 3 SE +/- 9.87, N = 3 SE +/- 6.01, N = 3 SE +/- 9.13, N = 3 SE +/- 2.83, N = 3 SE +/- 10.96, N = 3 SE +/- 3.01, N = 3 SE +/- 8.63, N = 3 SE +/- 3.27, N = 3 SE +/- 5.14, N = 3 SE +/- 7.88, N = 3 SE +/- 13.57, N = 3 SE +/- 10.21, N = 3 SE +/- 6.05, N = 3 SE +/- 15.42, N = 3 SE +/- 6.75, N = 3 7300.94 2797.70 1970.61 1858.39 3772.31 7737.59 5143.78 7099.54 4581.63 6720.45 2267.19 10001.40 1857.42 3885.41 5832.21 10062.21 12001.39 12124.64 7283.56 6326.59 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 2K 4K 6K 8K 10K Min: 7298.23 / Avg: 7300.94 / Max: 7302.61 Min: 2789 / Avg: 2797.7 / Max: 2804.07 Min: 1970.01 / Avg: 1970.61 / Max: 1971.64 Min: 1854.15 / Avg: 1858.39 / Max: 1860.71 Min: 3761.72 / Avg: 3772.31 / Max: 3780.18 Min: 7722.55 / Avg: 7737.59 / Max: 7756.19 Min: 5132.13 / Avg: 5143.78 / Max: 5152.17 Min: 7081.47 / Avg: 7099.54 / Max: 7110.88 Min: 4576.02 / Avg: 4581.63 / Max: 4585.09 Min: 6708.43 / Avg: 6720.45 / Max: 6742.34 Min: 2261.27 / Avg: 2267.19 / Max: 2271.11 Min: 9984.14 / Avg: 10001.4 / Max: 10010.03 Min: 1850.88 / Avg: 1857.42 / Max: 1860.74 Min: 3878.04 / Avg: 3885.41 / Max: 3895.31 Min: 5816.65 / Avg: 5832.21 / Max: 5842.15 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 Min: 7252.79 / Avg: 7283.56 / Max: 7300.75 Min: 6314.69 / Avg: 6326.59 / Max: 6338.06 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 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 = 6 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 +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 7 SE +/- 0.00, N = 3 3.02 1.18 0.85 0.79 1.57 3.20 2.13 2.90 1.86 2.80 0.92 4.14 0.76 1.64 2.43 4.17 4.84 4.96 3.01 2.61
Result Confidence
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: San Miguel - Renderer: Path Tracer EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 2 4 6 8 10 Min: 3.01 / Avg: 3.02 / Max: 3.02 Min: 1.18 / Avg: 1.18 / Max: 1.19 Min: 0.85 / Avg: 0.85 / Max: 0.86 Min: 0.78 / Avg: 0.79 / Max: 0.79 Min: 1.56 / Avg: 1.57 / Max: 1.57 Min: 3.19 / Avg: 3.2 / Max: 3.21 Min: 2.12 / Avg: 2.13 / Max: 2.13 Min: 2.89 / Avg: 2.9 / Max: 2.9 Min: 1.86 / Avg: 1.86 / Max: 1.86 Min: 2.79 / Avg: 2.8 / Max: 2.8 Min: 0.92 / Avg: 0.92 / Max: 0.92 Min: 4.13 / Avg: 4.14 / Max: 4.15 Min: 0.76 / Avg: 0.76 / Max: 0.76 Min: 1.63 / Avg: 1.64 / Max: 1.64 Min: 2.43 / Avg: 2.43 / Max: 2.43 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 Min: 3.01 / Avg: 3.01 / Max: 3.02 Min: 2.6 / Avg: 2.61 / Max: 2.61
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 4 8 12 16 20 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 SE +/- 0.005, N = 3 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.005, N = 3 SE +/- 0.002, 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 +/- 0.002, N = 3 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 4.501 11.566 16.427 17.441 8.645 4.190 6.409 4.640 7.046 4.882 14.278 3.286 17.146 8.323 5.596 3.253 2.746 2.725 4.501 5.069 1. (CC) gcc options: -static -fopenmp -O3 -march=native
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better N-Queens 1.0 Elapsed Time EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 4 8 12 16 20 Min: 4.5 / Avg: 4.5 / Max: 4.51 Min: 11.56 / Avg: 11.57 / Max: 11.57 Min: 16.42 / Avg: 16.43 / Max: 16.44 Min: 17.43 / Avg: 17.44 / Max: 17.45 Min: 8.64 / Avg: 8.65 / Max: 8.65 Min: 4.19 / Avg: 4.19 / Max: 4.2 Min: 6.41 / Avg: 6.41 / Max: 6.41 Min: 4.64 / Avg: 4.64 / Max: 4.64 Min: 7.05 / Avg: 7.05 / Max: 7.05 Min: 4.88 / Avg: 4.88 / Max: 4.88 Min: 14.27 / Avg: 14.28 / Max: 14.29 Min: 3.28 / Avg: 3.29 / Max: 3.29 Min: 17.15 / Avg: 17.15 / Max: 17.15 Min: 8.32 / Avg: 8.32 / Max: 8.32 Min: 5.59 / Avg: 5.6 / Max: 5.6 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 Min: 4.5 / Avg: 4.5 / Max: 4.51 Min: 5.07 / Avg: 5.07 / Max: 5.07 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 160 320 480 640 800 SE +/- 1.72, N = 3 SE +/- 1.17, N = 3 SE +/- 0.57, N = 3 SE +/- 0.44, N = 3 SE +/- 0.38, N = 3 SE +/- 1.41, N = 3 SE +/- 0.58, N = 3 SE +/- 1.34, N = 3 SE +/- 0.72, N = 3 SE +/- 0.82, N = 3 SE +/- 1.40, N = 8 SE +/- 0.84, N = 3 SE +/- 0.66, N = 3 SE +/- 0.63, N = 3 SE +/- 0.38, N = 3 SE +/- 3.28, N = 3 SE +/- 1.11, N = 3 SE +/- 0.22, N = 3 SE +/- 1.14, N = 3 SE +/- 0.05, N = 3 435.96 170.19 120.20 113.46 227.20 466.71 309.62 420.92 278.96 399.46 136.68 593.06 112.92 236.25 355.44 601.79 712.74 720.68 437.71 382.48 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
Result Confidence
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Glibc Qsort Data Sorting EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 130 260 390 520 650 Min: 432.87 / Avg: 435.96 / Max: 438.83 Min: 168.1 / Avg: 170.19 / Max: 172.13 Min: 119.6 / Avg: 120.2 / Max: 121.33 Min: 112.6 / Avg: 113.46 / Max: 114.07 Min: 226.63 / Avg: 227.2 / Max: 227.93 Min: 464.07 / Avg: 466.71 / Max: 468.9 Min: 308.5 / Avg: 309.62 / Max: 310.43 Min: 418.33 / Avg: 420.92 / Max: 422.83 Min: 277.53 / Avg: 278.96 / Max: 279.87 Min: 398.4 / Avg: 399.46 / Max: 401.07 Min: 127.17 / Avg: 136.68 / Max: 139.47 Min: 591.77 / Avg: 593.06 / Max: 594.63 Min: 111.63 / Avg: 112.92 / Max: 113.77 Min: 235.37 / Avg: 236.25 / Max: 237.47 Min: 354.83 / Avg: 355.44 / Max: 356.13 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 Min: 435.47 / Avg: 437.71 / Max: 439.17 Min: 382.4 / Avg: 382.48 / Max: 382.57 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 3 6 9 12 15 SE +/- 0.03542, N = 15 SE +/- 0.05931, N = 3 SE +/- 0.50723, N = 15 SE +/- 0.02644, N = 3 SE +/- 0.10035, N = 15 SE +/- 0.02197, N = 3 SE +/- 0.02418, N = 15 SE +/- 0.01911, N = 3 SE +/- 0.00248, N = 3 SE +/- 0.05039, N = 15 SE +/- 0.05477, N = 15 SE +/- 0.02747, N = 3 SE +/- 0.13039, N = 15 SE +/- 0.01628, N = 3 SE +/- 0.02820, N = 15 SE +/- 0.00682, N = 3 SE +/- 0.02328, N = 3 SE +/- 0.01653, N = 3 SE +/- 0.01793, N = 3 SE +/- 0.00666, N = 3 2.18360 4.48168 9.46298 5.17763 6.45984 2.23648 2.82041 2.22779 1.99596 3.88529 5.44456 2.02167 6.82638 2.62891 2.40689 1.48624 1.80818 1.63132 1.75183 1.64585 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 3 6 9 12 15 Min: 2.03 / Avg: 2.18 / Max: 2.59 Min: 4.42 / Avg: 4.48 / Max: 4.6 Min: 7.06 / Avg: 9.46 / Max: 14.82 Min: 5.13 / Avg: 5.18 / Max: 5.22 Min: 5.52 / Avg: 6.46 / Max: 6.84 Min: 2.21 / Avg: 2.24 / Max: 2.28 Min: 2.58 / Avg: 2.82 / Max: 2.96 Min: 2.2 / Avg: 2.23 / Max: 2.26 Min: 1.99 / Avg: 2 / Max: 2 Min: 3.5 / Avg: 3.89 / Max: 4.21 Min: 4.89 / Avg: 5.44 / Max: 5.67 Min: 1.99 / Avg: 2.02 / Max: 2.08 Min: 6.08 / Avg: 6.83 / Max: 7.88 Min: 2.6 / Avg: 2.63 / Max: 2.65 Min: 2.22 / Avg: 2.41 / Max: 2.56 Min: 1.47 / Avg: 1.49 / Max: 1.49 Min: 1.78 / Avg: 1.81 / Max: 1.85 Min: 1.6 / Avg: 1.63 / Max: 1.66 Min: 1.72 / Avg: 1.75 / Max: 1.77 Min: 1.64 / Avg: 1.65 / Max: 1.66 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 20 40 60 80 100 SE +/- 0.09, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, 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 +/- 0.02, N = 3 23.21 59.45 84.25 89.47 44.20 21.71 32.77 23.79 36.27 25.00 73.26 16.95 88.09 42.81 28.73 16.79 14.31 14.18 23.22 26.08 1. (CXX) g++ options: -fopenmp -O2 -march=native
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better m-queens 1.2 Time To Solve EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 20 40 60 80 100 Min: 23.06 / Avg: 23.21 / Max: 23.37 Min: 59.41 / Avg: 59.45 / Max: 59.46 Min: 84.23 / Avg: 84.25 / Max: 84.26 Min: 89.42 / Avg: 89.47 / Max: 89.5 Min: 44.14 / Avg: 44.2 / Max: 44.24 Min: 21.67 / Avg: 21.71 / Max: 21.75 Min: 32.69 / Avg: 32.77 / Max: 32.84 Min: 23.7 / Avg: 23.79 / Max: 23.88 Min: 36.26 / Avg: 36.27 / Max: 36.28 Min: 24.97 / Avg: 25 / Max: 25.03 Min: 73.23 / Avg: 73.26 / Max: 73.27 Min: 16.89 / Avg: 16.94 / Max: 17.02 Min: 88.03 / Avg: 88.09 / Max: 88.15 Min: 42.79 / Avg: 42.81 / Max: 42.83 Min: 28.62 / Avg: 28.73 / Max: 28.91 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 Min: 23.11 / Avg: 23.22 / Max: 23.28 Min: 26.06 / Avg: 26.08 / Max: 26.11 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 20 40 60 80 100 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.08, N = 3 21.36 54.25 76.84 81.67 40.67 19.93 29.96 21.86 33.24 23.05 66.97 15.63 80.54 39.16 26.19 15.44 13.14 13.06 21.31 24.00 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 16 32 48 64 80 Min: 21.28 / Avg: 21.36 / Max: 21.47 Min: 54.23 / Avg: 54.25 / Max: 54.27 Min: 76.81 / Avg: 76.84 / Max: 76.87 Min: 81.58 / Avg: 81.67 / Max: 81.81 Min: 40.63 / Avg: 40.67 / Max: 40.74 Min: 19.88 / Avg: 19.93 / Max: 19.98 Min: 29.93 / Avg: 29.95 / Max: 30 Min: 21.84 / Avg: 21.86 / Max: 21.88 Min: 33.19 / Avg: 33.24 / Max: 33.27 Min: 23 / Avg: 23.05 / Max: 23.09 Min: 66.85 / Avg: 66.97 / Max: 67.05 Min: 15.59 / Avg: 15.62 / Max: 15.65 Min: 80.51 / Avg: 80.54 / Max: 80.6 Min: 39.14 / Avg: 39.16 / Max: 39.19 Min: 26.14 / Avg: 26.19 / Max: 26.28 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 Min: 21.3 / Avg: 21.31 / Max: 21.33 Min: 23.84 / Avg: 24 / Max: 24.1 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 4M 8M 12M 16M 20M SE +/- 102325.96, N = 15 SE +/- 38644.74, N = 3 SE +/- 23350.93, N = 3 SE +/- 22526.16, N = 3 SE +/- 50833.87, N = 3 SE +/- 120996.14, N = 9 SE +/- 52003.80, N = 3 SE +/- 138168.08, N = 3 SE +/- 29716.88, N = 3 SE +/- 81230.48, N = 15 SE +/- 28186.41, N = 3 SE +/- 155445.81, N = 15 SE +/- 24650.01, N = 3 SE +/- 9769.89, N = 3 SE +/- 50217.68, N = 3 SE +/- 94951.48, N = 3 SE +/- 107878.70, N = 3 SE +/- 205768.32, N = 15 SE +/- 98762.81, N = 15 SE +/- 94521.27, N = 3 11355107.69 4389316.13 3316915.90 2970114.52 6096293.69 12327310.61 7892972.46 11066825.63 7756545.05 10457029.31 3819891.88 15435223.91 3005936.07 6603833.68 9536005.30 15626973.32 18405418.22 18566893.62 11286825.41 10203563.10 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: Context Switching EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 3M 6M 9M 12M 15M Min: 10680260.72 / Avg: 11355107.69 / Max: 11922794.08 Min: 4331161.98 / Avg: 4389316.13 / Max: 4462481.97 Min: 3279882.3 / Avg: 3316915.9 / Max: 3360073.76 Min: 2928072.83 / Avg: 2970114.52 / Max: 3005158.75 Min: 6009495.73 / Avg: 6096293.69 / Max: 6185538.41 Min: 11704204.82 / Avg: 12327310.61 / Max: 12869252.45 Min: 7839201.21 / Avg: 7892972.46 / Max: 7996959.81 Min: 10790876.02 / Avg: 11066825.63 / Max: 11217454.01 Min: 7715369.06 / Avg: 7756545.05 / Max: 7814250.19 Min: 10056342.93 / Avg: 10457029.31 / Max: 11037543.2 Min: 3764412.74 / Avg: 3819891.88 / Max: 3856289.94 Min: 14410372.44 / Avg: 15435223.91 / Max: 16355719.87 Min: 2970471.06 / Avg: 3005936.07 / Max: 3053325.69 Min: 6589281.5 / Avg: 6603833.68 / Max: 6622402.6 Min: 9465830.97 / Avg: 9536005.3 / Max: 9633318.81 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 Min: 10644170.18 / Avg: 11286825.41 / Max: 11817686.65 Min: 10029895.8 / Avg: 10203563.1 / Max: 10355069.48 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 4 8 12 16 20 SE +/- 0.01621, N = 3 SE +/- 0.15066, N = 12 SE +/- 0.00870, N = 3 SE +/- 0.04289, N = 3 SE +/- 0.07563, N = 3 SE +/- 0.02211, N = 3 SE +/- 0.08801, N = 3 SE +/- 0.01224, N = 3 SE +/- 0.06206, N = 3 SE +/- 0.02491, N = 3 SE +/- 0.07675, N = 3 SE +/- 0.00797, N = 3 SE +/- 0.02292, N = 3 SE +/- 0.04114, N = 3 SE +/- 0.19470, N = 15 SE +/- 0.00856, N = 3 SE +/- 0.02803, N = 3 SE +/- 0.02153, N = 3 SE +/- 0.05097, N = 3 SE +/- 0.07025, N = 3 4.50760 9.86575 15.31620 14.90570 7.69441 4.46722 6.22912 4.76807 7.84641 4.74513 14.13350 3.30455 14.66750 8.32494 5.44209 3.30193 2.55026 2.46068 4.47693 5.78518 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 4 8 12 16 20 Min: 4.49 / Avg: 4.51 / Max: 4.54 Min: 8.21 / Avg: 9.87 / Max: 10.09 Min: 15.3 / Avg: 15.32 / Max: 15.33 Min: 14.86 / Avg: 14.91 / Max: 14.99 Min: 7.58 / Avg: 7.69 / Max: 7.84 Min: 4.43 / Avg: 4.47 / Max: 4.51 Min: 6.06 / Avg: 6.23 / Max: 6.36 Min: 4.75 / Avg: 4.77 / Max: 4.79 Min: 7.74 / Avg: 7.85 / Max: 7.96 Min: 4.71 / Avg: 4.75 / Max: 4.79 Min: 13.98 / Avg: 14.13 / Max: 14.24 Min: 3.29 / Avg: 3.3 / Max: 3.32 Min: 14.62 / Avg: 14.67 / Max: 14.69 Min: 8.25 / Avg: 8.32 / Max: 8.4 Min: 4.39 / Avg: 5.44 / Max: 6.04 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 Min: 4.38 / Avg: 4.48 / Max: 4.56 Min: 5.65 / Avg: 5.79 / Max: 5.87 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 900K 1800K 2700K 3600K 4500K SE +/- 4932.88, N = 3 SE +/- 2590.75, N = 3 SE +/- 1052.26, N = 3 SE +/- 1989.22, N = 3 SE +/- 7218.80, N = 3 SE +/- 4630.81, N = 3 SE +/- 9504.38, N = 3 SE +/- 2403.70, N = 3 SE +/- 5811.87, N = 3 SE +/- 5929.17, N = 3 SE +/- 17776.39, N = 3 SE +/- 1479.80, N = 3 SE +/- 4630.81, N = 3 SE +/- 2645.75, N = 3 SE +/- 3055.05, N = 3 SE +/- 10503.97, N = 3 SE +/- 12490.00, N = 3 SE +/- 6437.74, N = 3 SE +/- 3179.80, N = 3 2588000 995857 757145 664064 1356000 2779333 1709333 2510000 1700333 2361667 806656 3511000 720571 1454667 2121000 3528000 3723000 4116000 2579667 2311333 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 700K 1400K 2100K 2800K 3500K Min: 2580000 / Avg: 2588000 / Max: 2597000 Min: 990720 / Avg: 995856.67 / Max: 999014 Min: 755046 / Avg: 757145.33 / Max: 758323 Min: 661401 / Avg: 664063.67 / Max: 667955 Min: 2765000 / Avg: 2779333.33 / Max: 2788000 Min: 1701000 / Avg: 1709333.33 / Max: 1717000 Min: 2500000 / Avg: 2510000 / Max: 2529000 Min: 1697000 / Avg: 1700333.33 / Max: 1705000 Min: 2351000 / Avg: 2361666.67 / Max: 2371000 Min: 795187 / Avg: 806655.67 / Max: 815001 Min: 3485000 / Avg: 3511000 / Max: 3545000 Min: 717619 / Avg: 720571.33 / Max: 722227 Min: 1447000 / Avg: 1454666.67 / Max: 1463000 Min: 2116000 / Avg: 2121000 / Max: 2125000 Min: 3522000 / Avg: 3528000 / Max: 3532000 Min: 3702000 / Avg: 3723000 / Max: 3734000 Min: 4098000 / Avg: 4116000 / Max: 4140000 Min: 2567000 / Avg: 2579666.67 / Max: 2588000 Min: 2306000 / Avg: 2311333.33 / Max: 2317000 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 30K 60K 90K 120K 150K SE +/- 15.94, N = 3 SE +/- 17.03, N = 3 SE +/- 5.72, N = 3 SE +/- 13.61, N = 3 SE +/- 13.79, N = 3 SE +/- 28.23, N = 3 SE +/- 25.21, N = 3 SE +/- 12.96, N = 3 SE +/- 137.58, N = 3 SE +/- 29.25, N = 3 SE +/- 34.12, N = 3 SE +/- 57.23, N = 3 SE +/- 15.12, N = 3 SE +/- 18.89, N = 3 SE +/- 20.42, N = 3 SE +/- 90.90, N = 3 SE +/- 54.79, N = 3 SE +/- 48.31, N = 3 SE +/- 24.82, N = 3 SE +/- 30.11, N = 3 89843.27 35923.30 25324.35 23857.54 46844.14 96854.95 63293.53 87239.10 58522.66 82555.86 29153.01 123029.76 24167.85 49828.66 73241.35 123965.62 146423.18 147145.81 89791.60 79756.26 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 30K 60K 90K 120K 150K Min: 89812.09 / Avg: 89843.27 / Max: 89864.64 Min: 35891.06 / Avg: 35923.3 / Max: 35948.91 Min: 25312.96 / Avg: 25324.35 / Max: 25330.81 Min: 23830.34 / Avg: 23857.54 / Max: 23872.07 Min: 46826.92 / Avg: 46844.14 / Max: 46871.41 Min: 96817.27 / Avg: 96854.95 / Max: 96910.2 Min: 63244.31 / Avg: 63293.53 / Max: 63327.58 Min: 87214.38 / Avg: 87239.1 / Max: 87258.21 Min: 58360.01 / Avg: 58522.66 / Max: 58796.19 Min: 82521.84 / Avg: 82555.86 / Max: 82614.09 Min: 29096.71 / Avg: 29153.01 / Max: 29214.55 Min: 122953.6 / Avg: 123029.76 / Max: 123141.84 Min: 24150.37 / Avg: 24167.85 / Max: 24197.95 Min: 49793.43 / Avg: 49828.66 / Max: 49858.12 Min: 73200.79 / Avg: 73241.35 / Max: 73265.78 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 Min: 89743.86 / Avg: 89791.6 / Max: 89827.23 Min: 79706.26 / Avg: 79756.26 / Max: 79810.34 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 30M 60M 90M 120M 150M SE +/- 192516.87, N = 3 SE +/- 116150.13, N = 3 SE +/- 33967.30, N = 3 SE +/- 210051.05, N = 3 SE +/- 143183.39, N = 3 SE +/- 717031.41, N = 3 SE +/- 93520.98, N = 3 SE +/- 517707.55, N = 3 SE +/- 360191.07, N = 3 SE +/- 528676.50, N = 3 SE +/- 170891.29, N = 3 SE +/- 75175.84, N = 3 SE +/- 110676.68, N = 3 SE +/- 154040.64, N = 3 SE +/- 385170.47, N = 3 SE +/- 548666.83, N = 3 SE +/- 1059441.52, N = 3 SE +/- 1025327.97, N = 3 SE +/- 479922.60, N = 3 SE +/- 479570.41, N = 3 76837283 30255678 21011732 20263553 39581259 80669002 54004216 73756703 46994090 70506630 23766693 102074873 20759851 41704153 60811617 102795064 120547124 124216434 75761184 65253280 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 20M 40M 60M 80M 100M Min: 76493767 / Avg: 76837283.33 / Max: 77159659 Min: 30066185 / Avg: 30255678 / Max: 30466794 Min: 20961304 / Avg: 21011732 / Max: 21076368 Min: 20000037 / Avg: 20263553 / Max: 20678655 Min: 39360150 / Avg: 39581259.33 / Max: 39849413 Min: 79334347 / Avg: 80669001.67 / Max: 81790669 Min: 53817366 / Avg: 54004216.33 / Max: 54104972 Min: 72731896 / Avg: 73756703 / Max: 74397135 Min: 46597321 / Avg: 46994090 / Max: 47713189 Min: 69730749 / Avg: 70506629.67 / Max: 71516666 Min: 23555785 / Avg: 23766693 / Max: 24105063 Min: 101934223 / Avg: 102074873.33 / Max: 102191213 Min: 20550233 / Avg: 20759851 / Max: 20926249 Min: 41396712 / Avg: 41704153.33 / Max: 41875062 Min: 60059394 / Avg: 60811616.67 / Max: 61331567 Min: 101701713 / Avg: 102795064.33 / Max: 103422629 Min: 118647013 / Avg: 120547124.33 / Max: 122309234 Min: 123082836 / Avg: 124216434.33 / Max: 126263135 Min: 75056297 / Avg: 75761184 / Max: 76677833 Min: 64378102 / Avg: 65253280 / Max: 66030738 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 1.3M 2.6M 3.9M 5.2M 6.5M SE +/- 122.33, N = 3 SE +/- 9958.10, N = 3 SE +/- 6324.41, N = 3 SE +/- 16159.45, N = 3 SE +/- 16555.91, N = 3 SE +/- 19652.38, N = 3 SE +/- 39675.39, N = 3 SE +/- 19986.48, N = 3 SE +/- 5912.49, N = 3 SE +/- 16272.59, N = 3 SE +/- 29450.71, N = 15 SE +/- 2133.81, N = 3 SE +/- 5330.86, N = 3 SE +/- 11537.25, N = 3 SE +/- 20548.42, N = 3 SE +/- 57546.11, N = 7 SE +/- 62679.17, N = 3 SE +/- 56345.22, N = 11 SE +/- 22554.93, N = 3 SE +/- 32794.20, N = 15 3891895.56 1581427.47 1111691.92 1025514.98 2047387.05 4246337.42 2717558.27 3784170.30 2550932.98 3590511.09 1219801.83 5302329.11 1042243.13 2200579.05 3211403.37 5327299.96 6286052.68 6245020.15 3849752.30 3377578.53 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 1.1M 2.2M 3.3M 4.4M 5.5M Min: 3891660.95 / Avg: 3891895.56 / Max: 3892072.98 Min: 1562684.88 / Avg: 1581427.47 / Max: 1596632.09 Min: 1099493.97 / Avg: 1111691.92 / Max: 1120689.51 Min: 1008034.14 / Avg: 1025514.98 / Max: 1057796.82 Min: 2014313.38 / Avg: 2047387.05 / Max: 2065300.15 Min: 4207123.49 / Avg: 4246337.42 / Max: 4268257.26 Min: 2652908.17 / Avg: 2717558.27 / Max: 2789729.05 Min: 3762447.59 / Avg: 3784170.3 / Max: 3824091.44 Min: 2539123.49 / Avg: 2550932.98 / Max: 2557361.85 Min: 3561427.51 / Avg: 3590511.09 / Max: 3617702.01 Min: 943860.7 / Avg: 1219801.83 / Max: 1294121.56 Min: 5298085.1 / Avg: 5302329.11 / Max: 5304839.4 Min: 1034794.36 / Avg: 1042243.13 / Max: 1052573.66 Min: 2184229.94 / Avg: 2200579.05 / Max: 2222855.19 Min: 3170306.61 / Avg: 3211403.37 / Max: 3232024.23 Min: 4997687.02 / Avg: 5327299.96 / Max: 5414332.63 Min: 6222889.08 / Avg: 6286052.68 / Max: 6411409.76 Min: 5736425.83 / Avg: 6245020.15 / Max: 6430106.78 Min: 3804854.57 / Avg: 3849752.3 / Max: 3875985.36 Min: 3136220.09 / Avg: 3377578.53 / Max: 3500588.06 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 140K 280K 420K 560K 700K 376690 157819 105887 104822 198305 401222 259728 345756 218441 339539 116858 515657 103756 203319 295105 521818 635485 627953 363429 317830 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 11 22 33 44 55 SE +/- 0.0731, N = 3 SE +/- 0.0321, N = 3 SE +/- 0.0216, N = 3 SE +/- 0.0147, N = 3 SE +/- 0.0244, N = 3 SE +/- 0.0422, N = 3 SE +/- 0.0273, N = 3 SE +/- 0.0427, N = 3 SE +/- 0.1215, N = 3 SE +/- 0.0422, N = 3 SE +/- 0.0320, N = 3 SE +/- 0.0515, N = 3 SE +/- 0.0256, N = 3 SE +/- 0.0400, N = 3 SE +/- 0.0331, N = 3 SE +/- 0.0207, N = 3 SE +/- 0.0803, N = 3 SE +/- 0.1030, N = 3 SE +/- 0.0548, N = 3 SE +/- 0.0143, N = 3 30.0539 12.1514 8.4046 8.0257 15.7939 32.0731 21.1889 28.7846 18.7936 27.6834 9.3919 40.7103 7.8320 16.7132 24.3318 40.4891 46.9800 47.8444 30.1246 26.1195
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer ISPC - Model: Crown EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 10 20 30 40 50 Min: 29.97 / Avg: 30.05 / Max: 30.2 Min: 12.09 / Avg: 12.15 / Max: 12.19 Min: 8.36 / Avg: 8.4 / Max: 8.43 Min: 8 / Avg: 8.03 / Max: 8.05 Min: 15.75 / Avg: 15.79 / Max: 15.83 Min: 31.99 / Avg: 32.07 / Max: 32.12 Min: 21.14 / Avg: 21.19 / Max: 21.24 Min: 28.71 / Avg: 28.78 / Max: 28.86 Min: 18.63 / Avg: 18.79 / Max: 19.03 Min: 27.6 / Avg: 27.68 / Max: 27.73 Min: 9.35 / Avg: 9.39 / Max: 9.45 Min: 40.64 / Avg: 40.71 / Max: 40.81 Min: 7.8 / Avg: 7.83 / Max: 7.88 Min: 16.63 / Avg: 16.71 / Max: 16.77 Min: 24.3 / Avg: 24.33 / Max: 24.4 Min: 40.46 / Avg: 40.49 / Max: 40.53 Min: 46.89 / Avg: 46.98 / Max: 47.14 Min: 47.71 / Avg: 47.84 / Max: 48.05 Min: 30.02 / Avg: 30.12 / Max: 30.2 Min: 26.1 / Avg: 26.12 / Max: 26.15
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 200K 400K 600K 800K 1000K SE +/- 2101.53, N = 3 SE +/- 828.02, N = 3 SE +/- 157.88, N = 3 SE +/- 385.55, N = 3 SE +/- 983.22, N = 3 SE +/- 163.34, N = 3 SE +/- 2381.51, N = 3 SE +/- 1060.79, N = 3 SE +/- 247.10, N = 3 SE +/- 1300.37, N = 3 SE +/- 314.41, N = 3 SE +/- 2858.95, N = 3 SE +/- 935.52, N = 3 SE +/- 747.28, N = 3 SE +/- 1659.30, N = 3 SE +/- 3994.82, N = 3 SE +/- 3428.94, N = 3 SE +/- 439.48, N = 3 SE +/- 698.73, N = 3 SE +/- 1237.62, N = 3 682046 278597 203359 190059 356559 733943 479150 629507 449472 623136 231128 914347 174275 384689 554557 908863 1043587 1060976 680113 602322 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 200K 400K 600K 800K 1000K Min: 678570.63 / Avg: 682046.07 / Max: 685830.81 Min: 277146.26 / Avg: 278597.12 / Max: 280014 Min: 203075.46 / Avg: 203358.71 / Max: 203621.17 Min: 189289.03 / Avg: 190059.49 / Max: 190471.93 Min: 354891.14 / Avg: 356559.36 / Max: 358295.09 Min: 733728.54 / Avg: 733942.94 / Max: 734263.61 Min: 474924.16 / Avg: 479150.29 / Max: 483165.89 Min: 628222.87 / Avg: 629507.42 / Max: 631611.99 Min: 449071.78 / Avg: 449472.37 / Max: 449923.29 Min: 620536.19 / Avg: 623136.4 / Max: 624482.31 Min: 230581.84 / Avg: 231127.53 / Max: 231670.99 Min: 910647.35 / Avg: 914347.4 / Max: 919972.73 Min: 172542.45 / Avg: 174274.56 / Max: 175753.34 Min: 383335.36 / Avg: 384688.76 / Max: 385914.57 Min: 551482.14 / Avg: 554557.27 / Max: 557175.36 Min: 901023.8 / Avg: 908863.23 / Max: 914118.29 Min: 1038320.6 / Avg: 1043587.2 / Max: 1050024.46 Min: 1060178.1 / Avg: 1060975.86 / Max: 1061694.29 Min: 679380.73 / Avg: 680112.82 / Max: 681509.73 Min: 599951.34 / Avg: 602321.79 / Max: 604124.16 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 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 = 5 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 +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 8 3.69 1.50 1.12 1.02 1.91 3.95 2.59 3.60 2.45 3.35 1.21 5.01 0.97 2.10 2.99 5.06 5.77 5.89 3.71 3.35
Result Confidence
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: XFrog Forest - Renderer: Path Tracer EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 2 4 6 8 10 Min: 3.68 / Avg: 3.69 / Max: 3.69 Min: 1.5 / Avg: 1.5 / Max: 1.51 Min: 1.12 / Avg: 1.12 / Max: 1.12 Min: 1.02 / Avg: 1.02 / Max: 1.02 Min: 1.9 / Avg: 1.91 / Max: 1.91 Min: 3.94 / Avg: 3.95 / Max: 3.95 Min: 2.58 / Avg: 2.59 / Max: 2.59 Min: 3.58 / Avg: 3.6 / Max: 3.61 Min: 2.44 / Avg: 2.45 / Max: 2.46 Min: 3.34 / Avg: 3.35 / Max: 3.36 Min: 1.21 / Avg: 1.21 / Max: 1.22 Min: 5 / Avg: 5.01 / Max: 5.03 Min: 0.97 / Avg: 0.97 / Max: 0.98 Min: 2.1 / Avg: 2.1 / Max: 2.1 Min: 2.99 / Avg: 2.99 / Max: 3 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 Min: 3.7 / Avg: 3.71 / Max: 3.72 Min: 3.34 / Avg: 3.35 / Max: 3.36
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 11 22 33 44 55 SE +/- 0.3292, N = 3 SE +/- 0.0069, N = 3 SE +/- 0.0426, N = 3 SE +/- 0.0025, N = 3 SE +/- 0.0125, N = 3 SE +/- 0.0447, N = 3 SE +/- 0.0388, N = 3 SE +/- 0.0542, N = 3 SE +/- 0.0122, N = 3 SE +/- 0.0437, N = 3 SE +/- 0.0274, N = 3 SE +/- 0.0627, N = 3 SE +/- 0.0338, N = 3 SE +/- 0.1564, N = 3 SE +/- 0.0199, N = 3 SE +/- 0.0818, N = 3 SE +/- 0.2108, N = 3 SE +/- 0.1026, N = 3 SE +/- 0.0479, N = 3 SE +/- 0.0580, N = 3 31.0041 12.6906 8.8254 8.3957 16.4495 33.3894 22.0671 29.8188 19.7680 28.6727 9.8471 42.2680 8.1763 17.3250 25.4338 42.4040 48.7032 49.5785 31.1622 27.4844
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer - Model: Crown EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 10 20 30 40 50 Min: 30.36 / Avg: 31 / Max: 31.43 Min: 12.68 / Avg: 12.69 / Max: 12.7 Min: 8.76 / Avg: 8.83 / Max: 8.91 Min: 8.39 / Avg: 8.4 / Max: 8.4 Min: 16.43 / Avg: 16.45 / Max: 16.47 Min: 33.3 / Avg: 33.39 / Max: 33.44 Min: 22.01 / Avg: 22.07 / Max: 22.14 Min: 29.74 / Avg: 29.82 / Max: 29.92 Min: 19.75 / Avg: 19.77 / Max: 19.79 Min: 28.6 / Avg: 28.67 / Max: 28.75 Min: 9.79 / Avg: 9.85 / Max: 9.89 Min: 42.15 / Avg: 42.27 / Max: 42.37 Min: 8.11 / Avg: 8.18 / Max: 8.23 Min: 17.03 / Avg: 17.33 / Max: 17.57 Min: 25.4 / Avg: 25.43 / Max: 25.46 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 Min: 31.07 / Avg: 31.16 / Max: 31.23 Min: 27.39 / Avg: 27.48 / Max: 27.59
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 30 60 90 120 150 SE +/- 0.04, N = 3 SE +/- 0.53, N = 3 SE +/- 0.07, N = 3 SE +/- 0.12, N = 3 SE +/- 0.36, N = 3 SE +/- 0.02, N = 3 SE +/- 0.21, N = 3 SE +/- 0.06, N = 3 SE +/- 0.07, N = 3 SE +/- 0.14, N = 3 SE +/- 0.08, N = 3 SE +/- 0.01, N = 3 SE +/- 0.23, N = 3 SE +/- 0.18, N = 3 SE +/- 0.09, N = 3 SE +/- 0.26, N = 3 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 SE +/- 0.53, N = 3 SE +/- 0.13, N = 3 31.11 78.77 109.38 116.86 60.12 28.88 45.00 32.65 47.15 34.17 95.81 23.06 114.04 55.83 37.90 23.14 19.56 19.29 31.64 34.73 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 20 40 60 80 100 Min: 31.02 / Avg: 31.11 / Max: 31.16 Min: 77.86 / Avg: 78.77 / Max: 79.69 Min: 109.26 / Avg: 109.38 / Max: 109.51 Min: 116.64 / Avg: 116.86 / Max: 117.07 Min: 59.52 / Avg: 60.12 / Max: 60.75 Min: 28.86 / Avg: 28.88 / Max: 28.92 Min: 44.77 / Avg: 45 / Max: 45.43 Min: 32.54 / Avg: 32.65 / Max: 32.75 Min: 47 / Avg: 47.15 / Max: 47.23 Min: 33.93 / Avg: 34.17 / Max: 34.43 Min: 95.7 / Avg: 95.81 / Max: 95.96 Min: 23.04 / Avg: 23.06 / Max: 23.07 Min: 113.61 / Avg: 114.04 / Max: 114.42 Min: 55.59 / Avg: 55.83 / Max: 56.17 Min: 37.78 / Avg: 37.9 / Max: 38.07 Min: 22.64 / Avg: 23.14 / Max: 23.51 Min: 19.49 / Avg: 19.56 / Max: 19.64 Min: 19.17 / Avg: 19.29 / Max: 19.41 Min: 31.08 / Avg: 31.64 / Max: 32.7 Min: 34.46 / Avg: 34.73 / Max: 34.87 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 0.3229 0.6458 0.9687 1.2916 1.6145 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 SE +/- 0.002, N = 3 SE +/- 0.000, N = 3 SE +/- 0.003, 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 +/- 0.008, 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 0.367 0.898 1.230 1.316 0.702 0.341 0.522 0.398 0.557 0.402 1.082 0.274 1.435 0.650 0.451 0.276 0.241 0.237 0.368 0.415 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 2 4 6 8 10 Min: 0.37 / Avg: 0.37 / Max: 0.37 Min: 0.89 / Avg: 0.9 / Max: 0.9 Min: 1.23 / Avg: 1.23 / Max: 1.23 Min: 1.31 / Avg: 1.32 / Max: 1.32 Min: 0.7 / Avg: 0.7 / Max: 0.71 Min: 0.34 / Avg: 0.34 / Max: 0.34 Min: 0.52 / Avg: 0.52 / Max: 0.53 Min: 0.4 / Avg: 0.4 / Max: 0.4 Min: 0.56 / Avg: 0.56 / Max: 0.56 Min: 0.4 / Avg: 0.4 / Max: 0.4 Min: 1.08 / Avg: 1.08 / Max: 1.09 Min: 0.27 / Avg: 0.27 / Max: 0.28 Min: 1.42 / Avg: 1.44 / Max: 1.45 Min: 0.65 / Avg: 0.65 / Max: 0.65 Min: 0.45 / Avg: 0.45 / Max: 0.45 Min: 0.27 / Avg: 0.28 / Max: 0.28 Min: 0.24 / Avg: 0.24 / Max: 0.24 Min: 0.24 / Avg: 0.24 / Max: 0.24 Min: 0.37 / Avg: 0.37 / Max: 0.37 Min: 0.41 / Avg: 0.42 / Max: 0.42 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 4 8 12 16 20 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 5 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 12 SE +/- 0.01, N = 4 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 15 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 SE +/- 0.09, N = 3 SE +/- 0.09, N = 3 SE +/- 0.03, N = 4 SE +/- 0.03, N = 3 10.35 4.27 3.14 2.91 5.38 11.03 7.37 10.10 6.98 9.47 3.48 13.89 2.77 5.99 8.52 14.15 16.22 16.48 10.39 9.46
Result Confidence
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: NASA Streamlines - Renderer: Path Tracer EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 4 8 12 16 20 Min: 10.31 / Avg: 10.35 / Max: 10.42 Min: 4.26 / Avg: 4.27 / Max: 4.27 Min: 3.13 / Avg: 3.14 / Max: 3.14 Min: 2.91 / Avg: 2.91 / Max: 2.92 Min: 5.35 / Avg: 5.38 / Max: 5.41 Min: 10.99 / Avg: 11.03 / Max: 11.11 Min: 7.35 / Avg: 7.37 / Max: 7.41 Min: 10.1 / Avg: 10.1 / Max: 10.1 Min: 6.94 / Avg: 6.98 / Max: 6.99 Min: 9.35 / Avg: 9.47 / Max: 9.62 Min: 3.44 / Avg: 3.48 / Max: 3.55 Min: 13.89 / Avg: 13.89 / Max: 13.89 Min: 2.74 / Avg: 2.77 / Max: 2.82 Min: 5.95 / Avg: 5.99 / Max: 6.02 Min: 8.47 / Avg: 8.52 / Max: 8.62 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 Min: 10.31 / Avg: 10.39 / Max: 10.42 Min: 9.43 / Avg: 9.46 / Max: 9.52
Result
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: XFrog Forest - Renderer: SciVis EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 3 6 9 12 15 SE +/- 0.00, N = 15 SE +/- 0.00, N = 5 SE +/- 0.00, N = 3 SE +/- 0.00, N = 5 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 +/- 0.00, N = 12 SE +/- 0.00, N = 3 SE +/- 0.00, N = 12 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 5 SE +/- 0.00, N = 10 SE +/- 0.04, N = 3 SE +/- 0.00, N = 13 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 6.90 2.84 2.07 1.92 3.59 7.44 4.87 6.70 4.57 6.29 2.29 9.35 1.85 3.93 5.62 9.43 10.79 10.99 6.94 6.30
Result Confidence
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: XFrog Forest - Renderer: SciVis EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 3 6 9 12 15 Min: 6.9 / Avg: 6.9 / Max: 6.9 Min: 2.84 / Avg: 2.84 / Max: 2.85 Min: 2.07 / Avg: 2.07 / Max: 2.07 Min: 1.92 / Avg: 1.92 / Max: 1.93 Min: 3.58 / Avg: 3.59 / Max: 3.6 Min: 7.41 / Avg: 7.44 / Max: 7.46 Min: 4.85 / Avg: 4.87 / Max: 4.88 Min: 6.67 / Avg: 6.7 / Max: 6.71 Min: 4.57 / Avg: 4.57 / Max: 4.59 Min: 6.29 / Avg: 6.29 / Max: 6.29 Min: 2.28 / Avg: 2.29 / Max: 2.3 Min: 9.35 / Avg: 9.35 / Max: 9.35 Min: 1.84 / Avg: 1.85 / Max: 1.86 Min: 3.92 / Avg: 3.93 / Max: 3.94 Min: 5.62 / Avg: 5.62 / Max: 5.65 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 Min: 6.94 / Avg: 6.94 / Max: 6.94 Min: 6.29 / Avg: 6.3 / Max: 6.33
OpenVINO
Result
OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Face Detection 0106 FP16 - Device: CPU EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 3 6 9 12 15 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 +/- 0.04, 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 +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 5.68 2.31 1.64 1.53 2.98 6.09 3.99 5.50 3.88 5.20 2.01 7.36 1.54 3.06 4.57 7.67 8.24 9.08 5.70 5.25 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 3 6 9 12 15 Min: 5.66 / Avg: 5.68 / Max: 5.69 Min: 2.3 / Avg: 2.31 / Max: 2.31 Min: 1.64 / Avg: 1.64 / Max: 1.65 Min: 1.53 / Avg: 1.53 / Max: 1.54 Min: 2.97 / Avg: 2.98 / Max: 2.98 Min: 6 / Avg: 6.09 / Max: 6.14 Min: 3.98 / Avg: 3.99 / Max: 4.01 Min: 5.49 / Avg: 5.5 / Max: 5.52 Min: 3.85 / Avg: 3.88 / Max: 3.91 Min: 5.2 / Avg: 5.2 / Max: 5.21 Min: 2 / Avg: 2.01 / Max: 2.02 Min: 7.35 / Avg: 7.36 / Max: 7.36 Min: 1.52 / Avg: 1.54 / Max: 1.55 Min: 3.05 / Avg: 3.06 / Max: 3.08 Min: 4.56 / Avg: 4.57 / Max: 4.58 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 Min: 5.67 / Avg: 5.7 / Max: 5.72 Min: 5.23 / Avg: 5.25 / Max: 5.27 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, 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 +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 5.69 2.31 1.64 1.55 2.99 6.07 3.98 5.50 3.88 5.21 1.99 7.37 1.53 3.06 4.57 7.68 8.27 9.06 5.68 5.26 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 3 6 9 12 15 Min: 5.68 / Avg: 5.69 / Max: 5.7 Min: 2.3 / Avg: 2.31 / Max: 2.32 Min: 1.64 / Avg: 1.64 / Max: 1.64 Min: 1.54 / Avg: 1.55 / Max: 1.56 Min: 2.98 / Avg: 2.99 / Max: 3 Min: 5.97 / Avg: 6.07 / Max: 6.14 Min: 3.97 / Avg: 3.98 / Max: 3.99 Min: 5.49 / Avg: 5.5 / Max: 5.51 Min: 3.87 / Avg: 3.88 / Max: 3.88 Min: 5.2 / Avg: 5.21 / Max: 5.22 Min: 1.99 / Avg: 1.99 / Max: 2 Min: 7.35 / Avg: 7.37 / Max: 7.39 Min: 1.53 / Avg: 1.53 / Max: 1.54 Min: 3.05 / Avg: 3.06 / Max: 3.07 Min: 4.55 / Avg: 4.57 / Max: 4.58 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 Min: 5.67 / Avg: 5.68 / Max: 5.69 Min: 5.25 / Avg: 5.26 / Max: 5.26 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 0.6477 1.2954 1.9431 2.5908 3.2385 SE +/- 0.00107, N = 3 SE +/- 0.00737, N = 3 SE +/- 0.00138, N = 3 SE +/- 0.01336, N = 3 SE +/- 0.00131, N = 3 SE +/- 0.00075, N = 3 SE +/- 0.00570, N = 3 SE +/- 0.00083, N = 3 SE +/- 0.00329, N = 3 SE +/- 0.00089, N = 3 SE +/- 0.01056, N = 3 SE +/- 0.00009, N = 3 SE +/- 0.00153, N = 3 SE +/- 0.00046, N = 3 SE +/- 0.00035, N = 3 SE +/- 0.00057, N = 3 SE +/- 0.00359, N = 3 SE +/- 0.00064, N = 3 SE +/- 0.00056, N = 3 SE +/- 0.00081, N = 3 0.77627 1.94316 2.54937 2.87872 1.47205 0.71677 1.15092 0.79052 1.15425 0.85255 2.30072 0.57645 2.73186 1.34992 0.93786 0.57168 0.51892 0.49044 0.77595 0.85771
Result Confidence
OpenBenchmarking.org days/ns, Fewer Is Better NAMD 2.14 ATPase Simulation - 327,506 Atoms EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 2 4 6 8 10 Min: 0.77 / Avg: 0.78 / Max: 0.78 Min: 1.94 / Avg: 1.94 / Max: 1.96 Min: 2.55 / Avg: 2.55 / Max: 2.55 Min: 2.85 / Avg: 2.88 / Max: 2.89 Min: 1.47 / Avg: 1.47 / Max: 1.47 Min: 0.72 / Avg: 0.72 / Max: 0.72 Min: 1.14 / Avg: 1.15 / Max: 1.16 Min: 0.79 / Avg: 0.79 / Max: 0.79 Min: 1.15 / Avg: 1.15 / Max: 1.16 Min: 0.85 / Avg: 0.85 / Max: 0.85 Min: 2.28 / Avg: 2.3 / Max: 2.32 Min: 0.58 / Avg: 0.58 / Max: 0.58 Min: 2.73 / Avg: 2.73 / Max: 2.73 Min: 1.35 / Avg: 1.35 / Max: 1.35 Min: 0.94 / Avg: 0.94 / Max: 0.94 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 Min: 0.77 / Avg: 0.78 / Max: 0.78 Min: 0.86 / Avg: 0.86 / Max: 0.86
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 2M 4M 6M 8M 10M SE +/- 31783.53, N = 3 SE +/- 28091.78, N = 4 SE +/- 5354.73, N = 3 SE +/- 1671.95, N = 3 SE +/- 45029.31, N = 3 SE +/- 29761.67, N = 3 SE +/- 24151.11, N = 3 SE +/- 54967.27, N = 3 SE +/- 16794.20, N = 3 SE +/- 26369.03, N = 3 SE +/- 18877.88, N = 3 SE +/- 60894.61, N = 3 SE +/- 9486.66, N = 3 SE +/- 10558.02, N = 3 SE +/- 16048.71, N = 3 SE +/- 29508.17, N = 3 SE +/- 35636.88, N = 3 SE +/- 22170.26, N = 3 SE +/- 5897.86, N = 3 SE +/- 11731.10, N = 3 5183448 2181413 1416897 1423609 2878890 5472534 3871501 4999806 2919905 5078250 1518866 6949809 1349492 2856386 4269210 6670700 7860385 7904493 5195469 4270655 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 1.4M 2.8M 4.2M 5.6M 7M Min: 5129861 / Avg: 5183447.67 / Max: 5239854 Min: 2146570 / Avg: 2181413 / Max: 2264616 Min: 1406942 / Avg: 1416897 / Max: 1425294 Min: 1420426 / Avg: 1423609 / Max: 1426088 Min: 2816724 / Avg: 2878890 / Max: 2966404 Min: 5416475 / Avg: 5472534 / Max: 5517893 Min: 3834057 / Avg: 3871500.67 / Max: 3916648 Min: 4910935 / Avg: 4999805.67 / Max: 5100283 Min: 2901038 / Avg: 2919904.67 / Max: 2953404 Min: 5049962 / Avg: 5078249.67 / Max: 5130940 Min: 1490063 / Avg: 1518866.33 / Max: 1554408 Min: 6888150 / Avg: 6949809 / Max: 7071595 Min: 1336295 / Avg: 1349492 / Max: 1367896 Min: 2838430 / Avg: 2856386 / Max: 2874987 Min: 4237623 / Avg: 4269210 / Max: 4289941 Min: 6631953 / Avg: 6670700.33 / Max: 6728625 Min: 7823749 / Avg: 7860384.67 / Max: 7931649 Min: 7865169 / Avg: 7904493 / Max: 7941897 Min: 5184385 / Avg: 5195468.67 / Max: 5204506 Min: 4247235 / Avg: 4270655 / Max: 4283583 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 9 18 27 36 45 SE +/- 0.000, N = 15 SE +/- 0.000, N = 12 SE +/- 0.009, N = 12 SE +/- 0.000, N = 12 SE +/- 0.062, N = 3 SE +/- 0.000, N = 12 SE +/- 0.112, N = 3 SE +/- 0.194, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 12 SE +/- 0.009, N = 7 SE +/- 0.000, N = 12 SE +/- 0.000, N = 15 SE +/- 0.000, N = 12 SE +/- 0.000, N = 12 SE +/- 0.000, N = 12 SE +/- 0.000, N = 15 SE +/- 0.000, N = 15 25.640 10.200 7.340 6.850 13.580 27.030 18.410 24.200 15.625 23.810 8.060 34.480 6.900 14.080 20.830 34.480 40.000 40.000 25.640 22.220
Result Confidence
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: Magnetic Reconnection - Renderer: SciVis EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 8 16 24 32 40 Min: 25.64 / Avg: 25.64 / Max: 25.64 Min: 10.2 / Avg: 10.2 / Max: 10.2 Min: 7.25 / Avg: 7.34 / Max: 7.35 Min: 6.85 / Avg: 6.85 / Max: 6.85 Min: 13.51 / Avg: 13.58 / Max: 13.7 Min: 27.03 / Avg: 27.03 / Max: 27.03 Min: 18.18 / Avg: 18.41 / Max: 18.52 Min: 23.81 / Avg: 24.2 / Max: 24.39 Min: 15.63 / Avg: 15.63 / Max: 15.63 Min: 23.81 / Avg: 23.81 / Max: 23.81 Min: 8 / Avg: 8.06 / Max: 8.06 Min: 34.48 / Avg: 34.48 / Max: 34.48 Min: 6.9 / Avg: 6.9 / Max: 6.9 Min: 14.08 / Avg: 14.08 / Max: 14.08 Min: 20.83 / Avg: 20.83 / Max: 20.83 Min: 34.48 / Avg: 34.48 / Max: 34.48 Min: 25.64 / Avg: 25.64 / Max: 25.64 Min: 22.22 / Avg: 22.22 / Max: 22.22
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 60 120 180 240 300 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.09, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.08, N = 3 SE +/- 0.11, N = 3 72.87 176.76 248.28 263.95 138.76 67.63 103.23 75.18 110.04 79.73 216.15 53.83 259.91 128.23 88.68 53.49 45.57 45.43 72.85 81.62 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 50 100 150 200 250 Min: 72.83 / Avg: 72.87 / Max: 72.93 Min: 176.66 / Avg: 176.76 / Max: 176.83 Min: 248.24 / Avg: 248.28 / Max: 248.3 Min: 263.92 / Avg: 263.95 / Max: 263.99 Min: 138.68 / Avg: 138.76 / Max: 138.85 Min: 67.59 / Avg: 67.63 / Max: 67.66 Min: 103.17 / Avg: 103.23 / Max: 103.27 Min: 75.11 / Avg: 75.18 / Max: 75.24 Min: 109.88 / Avg: 110.04 / Max: 110.19 Min: 79.71 / Avg: 79.73 / Max: 79.77 Min: 216.04 / Avg: 216.15 / Max: 216.26 Min: 53.81 / Avg: 53.83 / Max: 53.85 Min: 259.78 / Avg: 259.91 / Max: 259.98 Min: 128.18 / Avg: 128.23 / Max: 128.29 Min: 88.62 / Avg: 88.68 / Max: 88.73 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 Min: 72.69 / Avg: 72.85 / Max: 72.94 Min: 81.43 / Avg: 81.62 / Max: 81.8 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 40M 80M 120M 160M 200M SE +/- 1276317.53, N = 7 SE +/- 402653.87, N = 15 SE +/- 573712.98, N = 3 SE +/- 326575.75, N = 3 SE +/- 781709.19, N = 5 SE +/- 526030.10, N = 3 SE +/- 733157.90, N = 15 SE +/- 358368.47, N = 3 SE +/- 1093756.73, N = 4 SE +/- 1122561.19, N = 15 SE +/- 621658.12, N = 3 SE +/- 1559101.58, N = 15 SE +/- 227455.75, N = 3 SE +/- 134953.06, N = 3 SE +/- 860434.27, N = 15 SE +/- 2240110.26, N = 5 SE +/- 1899653.41, N = 15 SE +/- 2049696.22, N = 15 SE +/- 1040006.53, N = 15 SE +/- 214890.39, N = 3 121673641 49276720 35301607 33393407 63230724 133751245 84742534 119286292 80061560 108651965 40658633 163000355 33751178 68867484 98307816 167150946 192725013 192210231 120922766 118182176 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 30M 60M 90M 120M 150M Min: 114249697 / Avg: 121673641.14 / Max: 124512407 Min: 47356643 / Avg: 49276720.13 / Max: 51259025 Min: 34154208 / Avg: 35301607 / Max: 35882118 Min: 32741134 / Avg: 33393407 / Max: 33748871 Min: 60131659 / Avg: 63230724 / Max: 64253059 Min: 132715309 / Avg: 133751244.67 / Max: 134428118 Min: 80711238 / Avg: 84742534.27 / Max: 87776559 Min: 118570199 / Avg: 119286292.33 / Max: 119670638 Min: 77755597 / Avg: 80061560.25 / Max: 82403261 Min: 103874336 / Avg: 108651964.8 / Max: 114145821 Min: 39547827 / Avg: 40658633.33 / Max: 41697729 Min: 155397851 / Avg: 163000355.4 / Max: 170264486 Min: 33435197 / Avg: 33751178.33 / Max: 34192586 Min: 68715282 / Avg: 68867484 / Max: 69136621 Min: 93719478 / Avg: 98307816.2 / Max: 102407832 Min: 158235179 / Avg: 167150946.2 / Max: 170160556 Min: 184745570 / Avg: 192725013.2 / Max: 201658187 Min: 183285104 / Avg: 192210230.73 / Max: 202087778 Min: 113942640 / Avg: 120922766.13 / Max: 124587119 Min: 117754545 / Avg: 118182175.67 / Max: 118433175 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 13 26 39 52 65 SE +/- 0.00, N = 12 SE +/- 0.06, N = 4 SE +/- 0.00, N = 13 SE +/- 0.00, N = 12 SE +/- 0.13, 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 +/- 0.15, N = 3 SE +/- 0.00, N = 15 SE +/- 0.00, N = 15 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 37.04 15.21 10.99 10.20 19.48 40.00 26.32 35.71 24.39 33.33 12.20 50.00 10.31 21.13 30.30 50.00 55.56 58.82 37.04 33.33
Result Confidence
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: San Miguel - Renderer: SciVis EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 12 24 36 48 60 Min: 37.04 / Avg: 37.04 / Max: 37.04 Min: 15.15 / Avg: 15.21 / Max: 15.38 Min: 10.99 / Avg: 10.99 / Max: 10.99 Min: 10.2 / Avg: 10.2 / Max: 10.2 Min: 19.23 / Avg: 19.48 / Max: 19.61 Min: 26.32 / Avg: 26.32 / Max: 26.32 Min: 35.71 / Avg: 35.71 / Max: 35.71 Min: 24.39 / Avg: 24.39 / Max: 24.39 Min: 33.33 / Avg: 33.33 / Max: 33.33 Min: 12.2 / Avg: 12.2 / Max: 12.2 Min: 10.31 / Avg: 10.31 / Max: 10.31 Min: 20.83 / Avg: 21.13 / Max: 21.28 Min: 30.3 / Avg: 30.3 / Max: 30.3 Min: 55.56 / Avg: 55.56 / Max: 55.56 Min: 58.82 / Avg: 58.82 / Max: 58.82 Min: 37.04 / Avg: 37.04 / Max: 37.04 Min: 33.33 / Avg: 33.33 / Max: 33.33
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 200 400 600 800 1000 SE +/- 0.17, N = 3 SE +/- 0.91, N = 3 SE +/- 0.54, N = 3 SE +/- 1.81, N = 3 SE +/- 0.31, N = 3 SE +/- 0.42, N = 3 SE +/- 0.08, N = 3 SE +/- 0.15, N = 3 SE +/- 0.39, N = 3 SE +/- 0.55, N = 3 SE +/- 0.23, N = 3 SE +/- 0.44, N = 3 SE +/- 1.18, N = 3 SE +/- 0.21, N = 3 SE +/- 0.35, N = 3 SE +/- 0.42, N = 3 SE +/- 0.28, N = 3 SE +/- 0.29, N = 3 SE +/- 0.30, N = 3 SE +/- 0.63, N = 3 255.93 603.44 839.88 901.38 474.46 237.28 355.45 261.47 382.66 271.92 740.99 190.72 949.06 441.88 308.59 191.75 165.38 165.16 251.80 289.07
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Barbershop - Compute: CPU-Only EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 170 340 510 680 850 Min: 255.71 / Avg: 255.93 / Max: 256.26 Min: 601.9 / Avg: 603.44 / Max: 605.04 Min: 839.19 / Avg: 839.88 / Max: 840.95 Min: 899.18 / Avg: 901.38 / Max: 904.98 Min: 473.99 / Avg: 474.46 / Max: 475.04 Min: 236.49 / Avg: 237.28 / Max: 237.91 Min: 355.37 / Avg: 355.45 / Max: 355.61 Min: 261.18 / Avg: 261.47 / Max: 261.64 Min: 381.89 / Avg: 382.66 / Max: 383.15 Min: 270.81 / Avg: 271.92 / Max: 272.54 Min: 740.6 / Avg: 740.99 / Max: 741.39 Min: 190.15 / Avg: 190.72 / Max: 191.59 Min: 947.29 / Avg: 949.06 / Max: 951.3 Min: 441.47 / Avg: 441.88 / Max: 442.18 Min: 307.98 / Avg: 308.59 / Max: 309.18 Min: 191.15 / Avg: 191.75 / Max: 192.56 Min: 164.83 / Avg: 165.38 / Max: 165.73 Min: 164.79 / Avg: 165.16 / Max: 165.74 Min: 251.25 / Avg: 251.8 / Max: 252.27 Min: 287.84 / Avg: 289.07 / Max: 289.95
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 13K 26K 39K 52K 65K SE +/- 449.08, N = 3 SE +/- 71.70, N = 3 SE +/- 70.89, N = 3 SE +/- 33.32, N = 3 SE +/- 45.83, N = 3 SE +/- 463.85, N = 3 SE +/- 246.39, N = 3 SE +/- 598.50, N = 3 SE +/- 51.15, N = 3 SE +/- 300.18, N = 3 SE +/- 80.57, N = 3 SE +/- 163.42, N = 3 SE +/- 33.59, N = 3 SE +/- 78.28, N = 3 SE +/- 327.00, N = 3 SE +/- 184.21, N = 3 SE +/- 257.77, N = 3 SE +/- 185.27, N = 3 SE +/- 400.69, N = 3 SE +/- 115.54, N = 3 35209 15990 11724 11114 20890 38642 27814 34775 25542 33553 13123 51417 10313 21913 32046 50184 57889 59016 36297 34247
Result Confidence
OpenBenchmarking.org Ksamples, More Is Better Chaos Group V-RAY 4.10.07 Mode: CPU EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 10K 20K 30K 40K 50K Min: 34745 / Avg: 35209 / Max: 36107 Min: 15849 / Avg: 15990.33 / Max: 16082 Min: 11589 / Avg: 11724 / Max: 11829 Min: 11048 / Avg: 11114 / Max: 11155 Min: 20818 / Avg: 20889.67 / Max: 20975 Min: 37769 / Avg: 38642.33 / Max: 39350 Min: 27433 / Avg: 27813.67 / Max: 28275 Min: 33578 / Avg: 34775 / Max: 35376 Min: 25445 / Avg: 25541.67 / Max: 25619 Min: 32978 / Avg: 33553 / Max: 33990 Min: 12994 / Avg: 13122.67 / Max: 13271 Min: 51109 / Avg: 51416.67 / Max: 51666 Min: 10258 / Avg: 10313.33 / Max: 10374 Min: 21758 / Avg: 21913.33 / Max: 22008 Min: 31560 / Avg: 32046 / Max: 32668 Min: 49929 / Avg: 50184.33 / Max: 50542 Min: 57376 / Avg: 57888.67 / Max: 58192 Min: 58749 / Avg: 59016 / Max: 59372 Min: 35508 / Avg: 36297 / Max: 36813 Min: 34016 / Avg: 34246.67 / Max: 34374
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 60K 120K 180K 240K 300K SE +/- 246.91, N = 3 SE +/- 210.33, N = 3 SE +/- 259.03, N = 3 SE +/- 82.45, N = 3 SE +/- 175.91, N = 3 SE +/- 398.90, N = 3 SE +/- 65.73, N = 3 SE +/- 133.83, N = 3 SE +/- 949.16, N = 3 SE +/- 558.60, N = 3 SE +/- 309.32, N = 3 SE +/- 439.74, N = 3 SE +/- 167.08, N = 3 SE +/- 425.32, N = 3 SE +/- 595.37, N = 3 SE +/- 769.78, N = 3 SE +/- 715.50, N = 3 SE +/- 456.77, N = 3 SE +/- 212.89, N = 3 SE +/- 404.23, N = 3 169977 68876 49291 47057 91147 175716 125699 167374 109514 158903 55476 224914 46061 95496 138561 227772 257597 262783 169995 149916 1. (CXX) g++ options: -pipe -lpthread
Result Confidence
OpenBenchmarking.org MIPS, More Is Better 7-Zip Compression 16.02 Compress Speed Test EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 50K 100K 150K 200K 250K Min: 169492 / Avg: 169976.67 / Max: 170301 Min: 68587 / Avg: 68875.67 / Max: 69285 Min: 48889 / Avg: 49291 / Max: 49775 Min: 46927 / Avg: 47057.33 / Max: 47210 Min: 90955 / Avg: 91146.67 / Max: 91498 Min: 174939 / Avg: 175715.67 / Max: 176262 Min: 125568 / Avg: 125699 / Max: 125774 Min: 167106 / Avg: 167373.67 / Max: 167508 Min: 107957 / Avg: 109514 / Max: 111233 Min: 157932 / Avg: 158902.67 / Max: 159867 Min: 54860 / Avg: 55475.67 / Max: 55836 Min: 224366 / Avg: 224914.33 / Max: 225784 Min: 45763 / Avg: 46060.67 / Max: 46341 Min: 94818 / Avg: 95496.33 / Max: 96280 Min: 137395 / Avg: 138560.67 / Max: 139354 Min: 226262 / Avg: 227771.67 / Max: 228788 Min: 256297 / Avg: 257597 / Max: 258765 Min: 262092 / Avg: 262783 / Max: 263646 Min: 169586 / Avg: 169995 / Max: 170302 Min: 149146 / Avg: 149916.33 / Max: 150514 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 12 24 36 48 60 SE +/- 0.3034, N = 3 SE +/- 0.1343, N = 3 SE +/- 0.0102, N = 3 SE +/- 0.0267, N = 3 SE +/- 0.0341, N = 3 SE +/- 0.2618, N = 3 SE +/- 0.2541, N = 3 SE +/- 0.1971, N = 3 SE +/- 0.1347, N = 3 SE +/- 0.0606, N = 3 SE +/- 0.0285, N = 3 SE +/- 0.4040, N = 3 SE +/- 0.0813, N = 3 SE +/- 0.1895, N = 3 SE +/- 0.2494, N = 3 SE +/- 0.3010, N = 3 SE +/- 0.0882, N = 3 SE +/- 0.3470, N = 3 SE +/- 0.2760, N = 3 SE +/- 0.1842, N = 3 35.5207 14.0979 9.7040 9.4305 18.6826 37.5947 25.3374 33.3760 21.0131 33.0034 10.5746 46.9637 9.3351 19.2865 28.4980 47.4509 52.8060 53.2204 35.6826 30.1365
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer - Model: Asian Dragon EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 11 22 33 44 55 Min: 35.07 / Avg: 35.52 / Max: 36.1 Min: 13.94 / Avg: 14.1 / Max: 14.37 Min: 9.69 / Avg: 9.7 / Max: 9.72 Min: 9.38 / Avg: 9.43 / Max: 9.46 Min: 18.62 / Avg: 18.68 / Max: 18.73 Min: 37.26 / Avg: 37.59 / Max: 38.11 Min: 25.05 / Avg: 25.34 / Max: 25.84 Min: 33.1 / Avg: 33.38 / Max: 33.76 Min: 20.82 / Avg: 21.01 / Max: 21.27 Min: 32.88 / Avg: 33 / Max: 33.08 Min: 10.52 / Avg: 10.57 / Max: 10.61 Min: 46.17 / Avg: 46.96 / Max: 47.48 Min: 9.19 / Avg: 9.34 / Max: 9.48 Min: 19.05 / Avg: 19.29 / Max: 19.66 Min: 28.2 / Avg: 28.5 / Max: 28.99 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 Min: 35.13 / Avg: 35.68 / Max: 36 Min: 29.94 / Avg: 30.14 / Max: 30.5
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 40K 80K 120K 160K 200K SE +/- 354.61, N = 3 SE +/- 56.60, N = 3 SE +/- 148.50, N = 3 SE +/- 70.70, N = 3 SE +/- 66.43, N = 3 SE +/- 535.34, N = 3 SE +/- 200.02, N = 3 SE +/- 392.03, N = 3 SE +/- 311.46, N = 3 SE +/- 135.20, N = 3 SE +/- 88.23, N = 3 SE +/- 811.81, N = 3 SE +/- 39.70, N = 3 SE +/- 159.97, N = 3 SE +/- 155.82, N = 3 SE +/- 471.06, N = 3 SE +/- 430.58, N = 3 SE +/- 261.22, N = 3 SE +/- 1080.49, N = 3 SE +/- 205.68, N = 3 111016.59 46353.74 33377.45 31420.05 58509.29 120546.41 79169.26 108030.59 75406.32 101602.76 38372.40 149827.50 31460.75 63181.99 91534.93 151931.12 178073.14 177538.11 110937.29 101096.15 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 30K 60K 90K 120K 150K Min: 110444.66 / Avg: 111016.59 / Max: 111665.76 Min: 46240.55 / Avg: 46353.74 / Max: 46410.96 Min: 33134.13 / Avg: 33377.45 / Max: 33646.61 Min: 31287.32 / Avg: 31420.05 / Max: 31528.62 Min: 58381.23 / Avg: 58509.29 / Max: 58603.95 Min: 119657.67 / Avg: 120546.41 / Max: 121507.85 Min: 78895.81 / Avg: 79169.26 / Max: 79558.86 Min: 107251.11 / Avg: 108030.59 / Max: 108493.62 Min: 75087.8 / Avg: 75406.32 / Max: 76029.19 Min: 101390.5 / Avg: 101602.76 / Max: 101853.95 Min: 38216.05 / Avg: 38372.4 / Max: 38521.42 Min: 148869.56 / Avg: 149827.5 / Max: 151441.76 Min: 31408.37 / Avg: 31460.75 / Max: 31538.63 Min: 62930.24 / Avg: 63181.99 / Max: 63478.86 Min: 91331.78 / Avg: 91534.93 / Max: 91841.16 Min: 151052.76 / Avg: 151931.12 / Max: 152665.37 Min: 177510.03 / Avg: 178073.14 / Max: 178918.95 Min: 177029.44 / Avg: 177538.11 / Max: 177895.63 Min: 109225.78 / Avg: 110937.29 / Max: 112935.61 Min: 100694.73 / Avg: 101096.15 / Max: 101374.73 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 12 24 36 48 60 SE +/- 0.3906, N = 3 SE +/- 0.0506, N = 3 SE +/- 0.0609, N = 3 SE +/- 0.0244, N = 3 SE +/- 0.0207, N = 3 SE +/- 0.2017, N = 3 SE +/- 0.1182, N = 3 SE +/- 0.3156, N = 3 SE +/- 0.2322, N = 3 SE +/- 0.2284, N = 3 SE +/- 0.0158, N = 3 SE +/- 0.3207, N = 3 SE +/- 0.0263, N = 3 SE +/- 0.0257, N = 3 SE +/- 0.2726, N = 3 SE +/- 0.0717, N = 3 SE +/- 0.0763, N = 3 SE +/- 0.0362, N = 3 SE +/- 0.1490, N = 3 SE +/- 0.2780, N = 3 35.0164 14.0144 9.6834 9.3926 18.4925 36.9981 25.2623 33.7127 21.3898 33.2007 10.5068 46.8396 9.2306 19.1386 28.7777 47.4349 51.6425 52.1229 35.0480 30.0839
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer ISPC - Model: Asian Dragon EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 10 20 30 40 50 Min: 34.61 / Avg: 35.02 / Max: 35.8 Min: 13.92 / Avg: 14.01 / Max: 14.09 Min: 9.59 / Avg: 9.68 / Max: 9.8 Min: 9.35 / Avg: 9.39 / Max: 9.43 Min: 18.47 / Avg: 18.49 / Max: 18.53 Min: 36.6 / Avg: 37 / Max: 37.24 Min: 25.06 / Avg: 25.26 / Max: 25.47 Min: 33.09 / Avg: 33.71 / Max: 34.1 Min: 20.93 / Avg: 21.39 / Max: 21.64 Min: 32.78 / Avg: 33.2 / Max: 33.56 Min: 10.48 / Avg: 10.51 / Max: 10.53 Min: 46.3 / Avg: 46.84 / Max: 47.41 Min: 9.18 / Avg: 9.23 / Max: 9.26 Min: 19.1 / Avg: 19.14 / Max: 19.19 Min: 28.23 / Avg: 28.78 / Max: 29.09 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 Min: 34.78 / Avg: 35.05 / Max: 35.3 Min: 29.72 / Avg: 30.08 / Max: 30.63
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 140 280 420 560 700 SE +/- 0.49, N = 3 SE +/- 0.66, N = 3 SE +/- 1.13, N = 3 SE +/- 0.91, N = 3 SE +/- 1.54, N = 3 SE +/- 0.75, N = 3 SE +/- 0.28, N = 3 SE +/- 1.29, N = 3 SE +/- 0.08, N = 3 SE +/- 1.21, N = 3 SE +/- 0.71, N = 3 SE +/- 0.37, N = 3 SE +/- 1.46, N = 3 SE +/- 0.76, N = 3 SE +/- 0.92, N = 3 SE +/- 0.21, N = 3 SE +/- 0.10, N = 3 SE +/- 0.14, N = 3 SE +/- 0.37, N = 3 SE +/- 0.03, N = 3 176.75 431.29 586.46 625.57 339.18 165.59 249.36 186.22 264.58 197.80 503.70 130.69 632.59 314.32 217.18 133.19 112.75 112.70 179.24 198.29
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Classroom - Compute: CPU-Only EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 110 220 330 440 550 Min: 176.01 / Avg: 176.75 / Max: 177.67 Min: 430.28 / Avg: 431.29 / Max: 432.54 Min: 584.48 / Avg: 586.46 / Max: 588.41 Min: 624.29 / Avg: 625.57 / Max: 627.33 Min: 336.13 / Avg: 339.18 / Max: 341.08 Min: 164.16 / Avg: 165.59 / Max: 166.7 Min: 248.79 / Avg: 249.36 / Max: 249.66 Min: 184.11 / Avg: 186.22 / Max: 188.57 Min: 264.44 / Avg: 264.58 / Max: 264.72 Min: 196.12 / Avg: 197.8 / Max: 200.15 Min: 502.58 / Avg: 503.7 / Max: 505.02 Min: 130.1 / Avg: 130.69 / Max: 131.36 Min: 630.83 / Avg: 632.59 / Max: 635.48 Min: 313.32 / Avg: 314.32 / Max: 315.81 Min: 215.35 / Avg: 217.18 / Max: 218.25 Min: 132.79 / Avg: 133.19 / Max: 133.49 Min: 112.54 / Avg: 112.75 / Max: 112.87 Min: 112.45 / Avg: 112.7 / Max: 112.92 Min: 178.66 / Avg: 179.24 / Max: 179.92 Min: 198.23 / Avg: 198.29 / Max: 198.32
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 110 220 330 440 550 SE +/- 1.11, N = 3 SE +/- 1.02, N = 3 SE +/- 0.20, N = 3 SE +/- 0.38, N = 3 SE +/- 0.12, N = 3 SE +/- 1.04, N = 3 SE +/- 1.84, N = 3 SE +/- 3.58, N = 3 SE +/- 0.38, N = 3 SE +/- 0.69, N = 3 SE +/- 0.42, N = 3 SE +/- 0.43, N = 3 SE +/- 0.23, N = 3 SE +/- 0.13, N = 3 SE +/- 0.47, N = 3 SE +/- 1.51, N = 3 SE +/- 1.07, N = 3 SE +/- 2.58, N = 3 SE +/- 2.40, N = 3 SE +/- 0.75, N = 3 323.52 130.98 93.54 88.72 178.83 343.46 225.22 290.28 216.80 301.70 107.89 424.70 92.91 185.83 268.70 429.76 439.04 492.81 321.44 291.15
Result Confidence
OpenBenchmarking.org Items / Sec, More Is Better OpenVKL 0.9 Benchmark: vklBenchmark EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 90 180 270 360 450 Min: 321.67 / Avg: 323.52 / Max: 325.5 Min: 129 / Avg: 130.98 / Max: 132.39 Min: 93.17 / Avg: 93.54 / Max: 93.83 Min: 88 / Avg: 88.72 / Max: 89.28 Min: 178.67 / Avg: 178.83 / Max: 179.06 Min: 341.94 / Avg: 343.46 / Max: 345.44 Min: 221.61 / Avg: 225.22 / Max: 227.67 Min: 283.11 / Avg: 290.28 / Max: 294 Min: 216.39 / Avg: 216.8 / Max: 217.56 Min: 300.33 / Avg: 301.7 / Max: 302.44 Min: 107.06 / Avg: 107.89 / Max: 108.39 Min: 423.89 / Avg: 424.7 / Max: 425.33 Min: 92.56 / Avg: 92.91 / Max: 93.33 Min: 185.61 / Avg: 185.83 / Max: 186.06 Min: 267.89 / Avg: 268.7 / Max: 269.5 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 Min: 316.78 / Avg: 321.44 / Max: 324.72 Min: 290 / Avg: 291.15 / Max: 292.56
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 140K 280K 420K 560K 700K SE +/- 1346.26, N = 3 SE +/- 115.16, N = 3 SE +/- 19.09, N = 3 SE +/- 157.51, N = 3 SE +/- 603.89, N = 3 SE +/- 793.66, N = 3 SE +/- 930.38, N = 3 SE +/- 275.01, N = 3 SE +/- 1205.14, N = 3 SE +/- 1084.86, N = 3 SE +/- 212.03, N = 3 SE +/- 662.65, N = 3 SE +/- 115.43, N = 3 SE +/- 275.65, N = 3 SE +/- 1231.54, N = 3 SE +/- 2646.60, N = 3 SE +/- 2560.60, N = 3 SE +/- 2400.08, N = 3 SE +/- 1517.69, N = 3 SE +/- 2361.40, N = 3 410519.36 175151.29 123755.93 116309.56 227661.36 429545.18 295072.85 392610.75 271798.18 387824.66 142120.89 537342.45 116199.55 233355.09 336284.14 528168.36 637854.00 641928.60 414301.15 375286.56 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 110K 220K 330K 440K 550K Min: 408885.28 / Avg: 410519.36 / Max: 413189.67 Min: 174995.49 / Avg: 175151.29 / Max: 175376.09 Min: 123733.99 / Avg: 123755.93 / Max: 123793.96 Min: 116098.13 / Avg: 116309.56 / Max: 116617.51 Min: 226946.22 / Avg: 227661.36 / Max: 228861.82 Min: 428623.54 / Avg: 429545.18 / Max: 431125.21 Min: 293884.4 / Avg: 295072.85 / Max: 296907.04 Min: 392079.84 / Avg: 392610.75 / Max: 393000.66 Min: 270479.97 / Avg: 271798.18 / Max: 274204.81 Min: 386429 / Avg: 387824.66 / Max: 389961.2 Min: 141814.3 / Avg: 142120.89 / Max: 142527.91 Min: 536191.54 / Avg: 537342.45 / Max: 538486.99 Min: 116002.14 / Avg: 116199.55 / Max: 116401.9 Min: 233029.99 / Avg: 233355.09 / Max: 233903.24 Min: 334098.38 / Avg: 336284.14 / Max: 338360.35 Min: 523031.78 / Avg: 528168.36 / Max: 531843.49 Min: 633035.51 / Avg: 637854 / Max: 641765.47 Min: 637432.56 / Avg: 641928.6 / Max: 645632.79 Min: 411702.04 / Avg: 414301.15 / Max: 416958.52 Min: 371348.45 / Avg: 375286.56 / Max: 379513.3 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 20 40 60 80 100 SE +/- 0.00, N = 12 SE +/- 0.00, N = 3 SE +/- 0.00, N = 12 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 = 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 = 12 SE +/- 0.00, N = 3 50.00 21.28 15.63 14.29 27.03 53.80 35.71 47.62 33.33 45.45 17.14 66.67 14.08 29.41 41.67 66.67 76.92 76.92 50.00 45.45
Result Confidence
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: NASA Streamlines - Renderer: SciVis EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 15 30 45 60 75 Min: 21.28 / Avg: 21.28 / Max: 21.28 Min: 15.63 / Avg: 15.63 / Max: 15.63 Min: 14.29 / Avg: 14.29 / Max: 14.29 Min: 27.03 / Avg: 27.03 / Max: 27.03 Min: 52.63 / Avg: 53.8 / Max: 55.56 Min: 35.71 / Avg: 35.71 / Max: 35.71 Min: 47.62 / Avg: 47.62 / Max: 47.62 Min: 33.33 / Avg: 33.33 / Max: 33.33 Min: 45.45 / Avg: 45.45 / Max: 45.45 Min: 16.95 / Avg: 17.14 / Max: 17.24 Min: 66.67 / Avg: 66.67 / Max: 66.67 Min: 14.08 / Avg: 14.08 / Max: 14.08 Min: 29.41 / Avg: 29.41 / Max: 29.41 Min: 41.67 / Avg: 41.67 / Max: 41.67 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 Min: 45.45 / Avg: 45.45 / Max: 45.45
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 11 22 33 44 55 SE +/- 0.0379, N = 3 SE +/- 0.0181, N = 3 SE +/- 0.0183, N = 3 SE +/- 0.0109, N = 3 SE +/- 0.0122, N = 3 SE +/- 0.0968, N = 3 SE +/- 0.0170, N = 3 SE +/- 0.0478, N = 3 SE +/- 0.0439, N = 3 SE +/- 0.0391, N = 3 SE +/- 0.0029, N = 3 SE +/- 0.0752, N = 3 SE +/- 0.0184, N = 3 SE +/- 0.0059, N = 3 SE +/- 0.0311, N = 3 SE +/- 0.0268, N = 3 SE +/- 0.0908, N = 3 SE +/- 0.0648, N = 3 SE +/- 0.0461, N = 3 SE +/- 0.0707, N = 3 32.4407 13.1278 9.0028 8.7510 17.3009 34.1704 23.5552 31.0287 19.9576 30.3852 9.9019 43.0274 8.6971 17.9550 26.3280 43.1151 47.0971 47.4287 32.5488 27.8014
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer - Model: Asian Dragon Obj EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 10 20 30 40 50 Min: 32.37 / Avg: 32.44 / Max: 32.5 Min: 13.1 / Avg: 13.13 / Max: 13.16 Min: 8.98 / Avg: 9 / Max: 9.04 Min: 8.73 / Avg: 8.75 / Max: 8.76 Min: 17.28 / Avg: 17.3 / Max: 17.32 Min: 33.98 / Avg: 34.17 / Max: 34.29 Min: 23.53 / Avg: 23.56 / Max: 23.59 Min: 30.93 / Avg: 31.03 / Max: 31.09 Min: 19.87 / Avg: 19.96 / Max: 20.02 Min: 30.34 / Avg: 30.39 / Max: 30.46 Min: 9.9 / Avg: 9.9 / Max: 9.91 Min: 42.88 / Avg: 43.03 / Max: 43.12 Min: 8.67 / Avg: 8.7 / Max: 8.73 Min: 17.94 / Avg: 17.96 / Max: 17.97 Min: 26.27 / Avg: 26.33 / Max: 26.38 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 Min: 32.49 / Avg: 32.55 / Max: 32.64 Min: 27.66 / Avg: 27.8 / Max: 27.89
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 1.2422 2.4844 3.7266 4.9688 6.211 SE +/- 0.004, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.008, N = 3 SE +/- 0.004, N = 3 SE +/- 0.003, N = 3 SE +/- 0.005, N = 3 SE +/- 0.004, N = 3 SE +/- 0.002, N = 3 SE +/- 0.008, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.007, N = 3 SE +/- 0.001, N = 3 SE +/- 0.008, N = 3 SE +/- 0.004, N = 3 SE +/- 0.002, N = 3 3.937 1.611 1.097 1.057 2.103 4.251 2.833 3.771 2.419 3.688 1.220 5.293 1.014 2.176 3.224 5.159 5.418 5.521 3.965 3.398
Result Confidence
OpenBenchmarking.org M samples/s, More Is Better IndigoBench 4.0.64 Scene: Bedroom EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 2 4 6 8 10 Min: 3.93 / Avg: 3.94 / Max: 3.95 Min: 1.61 / Avg: 1.61 / Max: 1.61 Min: 1.1 / Avg: 1.1 / Max: 1.1 Min: 1.05 / Avg: 1.06 / Max: 1.06 Min: 2.1 / Avg: 2.1 / Max: 2.11 Min: 4.24 / Avg: 4.25 / Max: 4.27 Min: 2.83 / Avg: 2.83 / Max: 2.84 Min: 3.77 / Avg: 3.77 / Max: 3.78 Min: 2.41 / Avg: 2.42 / Max: 2.43 Min: 3.68 / Avg: 3.69 / Max: 3.69 Min: 1.22 / Avg: 1.22 / Max: 1.22 Min: 5.29 / Avg: 5.29 / Max: 5.31 Min: 1.01 / Avg: 1.01 / Max: 1.02 Min: 2.17 / Avg: 2.18 / Max: 2.18 Min: 3.22 / Avg: 3.22 / Max: 3.23 Min: 5.15 / Avg: 5.16 / Max: 5.17 Min: 5.42 / Avg: 5.42 / Max: 5.42 Min: 5.51 / Avg: 5.52 / Max: 5.53 Min: 3.96 / Avg: 3.97 / Max: 3.97 Min: 3.4 / Avg: 3.4 / Max: 3.4
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 50K 100K 150K 200K 250K SE +/- 956.08, N = 3 SE +/- 674.43, N = 3 SE +/- 218.45, N = 3 SE +/- 180.35, N = 3 SE +/- 1109.12, N = 3 SE +/- 2505.69, N = 15 SE +/- 2165.41, N = 5 SE +/- 2557.41, N = 15 SE +/- 970.11, N = 3 SE +/- 2362.56, N = 6 SE +/- 364.13, N = 3 SE +/- 2783.17, N = 4 SE +/- 135.06, N = 3 SE +/- 1172.51, N = 3 SE +/- 2252.44, N = 3 SE +/- 1820.08, N = 15 SE +/- 1719.61, N = 3 SE +/- 2053.52, N = 10 SE +/- 2680.04, N = 3 SE +/- 1497.72, N = 13 214486 76751 43203 41662 122041 211140 162681 193790 127262 199364 49086 203081 40445 112020 180592 196720 218854 218480 205457 184455
Result Confidence
OpenBenchmarking.org Op/s, More Is Better Apache Cassandra 3.11.4 Test: Writes EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 40K 80K 120K 160K 200K Min: 212577 / Avg: 214486.33 / Max: 215531 Min: 75429 / Avg: 76751.33 / Max: 77643 Min: 42953 / Avg: 43202.67 / Max: 43638 Min: 41364 / Avg: 41662 / Max: 41987 Min: 120158 / Avg: 122041.33 / Max: 123998 Min: 196521 / Avg: 211139.8 / Max: 221898 Min: 155800 / Avg: 162680.8 / Max: 166977 Min: 176360 / Avg: 193789.73 / Max: 202817 Min: 126002 / Avg: 127262.33 / Max: 129170 Min: 190358 / Avg: 199364 / Max: 208384 Min: 48473 / Avg: 49086 / Max: 49733 Min: 198780 / Avg: 203080.5 / Max: 211125 Min: 40189 / Avg: 40444.67 / Max: 40648 Min: 109894 / Avg: 112020 / Max: 113940 Min: 176111 / Avg: 180591.67 / Max: 183236 Min: 189102 / Avg: 196719.53 / Max: 208592 Min: 215677 / Avg: 218854.33 / Max: 221583 Min: 207486 / Avg: 218480.4 / Max: 225818 Min: 202352 / Avg: 205456.67 / Max: 210793 Min: 177996 / Avg: 184455 / Max: 191651
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 10 20 30 40 50 SE +/- 0.0547, N = 3 SE +/- 0.0365, N = 3 SE +/- 0.0078, N = 3 SE +/- 0.0111, N = 3 SE +/- 0.0549, N = 3 SE +/- 0.0311, N = 3 SE +/- 0.0037, N = 3 SE +/- 0.0254, N = 3 SE +/- 0.1352, N = 3 SE +/- 0.0032, N = 3 SE +/- 0.0091, N = 3 SE +/- 0.0861, N = 3 SE +/- 0.0216, N = 3 SE +/- 0.0117, N = 3 SE +/- 0.0049, N = 3 SE +/- 0.0860, N = 3 SE +/- 0.0544, N = 3 SE +/- 0.0423, N = 3 SE +/- 0.0668, N = 3 SE +/- 0.0834, N = 3 31.0503 12.5387 8.6359 8.3807 16.6041 32.9632 22.4622 29.8408 18.9692 29.1758 9.4614 41.1410 8.3087 17.2397 25.2413 41.0754 44.5624 44.9159 31.1938 26.7566
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer ISPC - Model: Asian Dragon Obj EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 9 18 27 36 45 Min: 30.96 / Avg: 31.05 / Max: 31.15 Min: 12.48 / Avg: 12.54 / Max: 12.6 Min: 8.62 / Avg: 8.64 / Max: 8.65 Min: 8.36 / Avg: 8.38 / Max: 8.4 Min: 16.5 / Avg: 16.6 / Max: 16.69 Min: 32.92 / Avg: 32.96 / Max: 33.02 Min: 22.45 / Avg: 22.46 / Max: 22.47 Min: 29.81 / Avg: 29.84 / Max: 29.89 Min: 18.71 / Avg: 18.97 / Max: 19.16 Min: 29.17 / Avg: 29.18 / Max: 29.18 Min: 9.45 / Avg: 9.46 / Max: 9.48 Min: 40.97 / Avg: 41.14 / Max: 41.25 Min: 8.27 / Avg: 8.31 / Max: 8.34 Min: 17.22 / Avg: 17.24 / Max: 17.26 Min: 25.23 / Avg: 25.24 / Max: 25.25 Min: 40.91 / Avg: 41.08 / Max: 41.18 Min: 44.45 / Avg: 44.56 / Max: 44.62 Min: 44.87 / Avg: 44.92 / Max: 45 Min: 31.08 / Avg: 31.19 / Max: 31.31 Min: 26.59 / Avg: 26.76 / Max: 26.86
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 70 140 210 280 350 SE +/- 0.31, N = 3 SE +/- 0.17, N = 3 SE +/- 0.46, N = 3 SE +/- 0.45, N = 3 SE +/- 0.59, N = 3 SE +/- 0.29, N = 3 SE +/- 0.59, N = 3 SE +/- 0.23, N = 3 SE +/- 0.78, N = 3 SE +/- 0.64, N = 3 SE +/- 0.43, N = 3 SE +/- 0.29, N = 3 SE +/- 0.42, N = 3 SE +/- 0.81, N = 3 SE +/- 0.75, N = 3 SE +/- 0.40, N = 3 SE +/- 0.07, N = 3 SE +/- 0.15, N = 3 SE +/- 0.46, N = 3 SE +/- 0.55, N = 3 89.98 212.16 286.30 309.85 166.07 83.82 126.67 91.87 132.61 97.72 254.24 67.38 303.59 155.20 108.46 67.16 57.77 57.51 89.86 99.12 1. (CXX) g++ options: -O2 -lOpenCL
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP LavaMD EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 60 120 180 240 300 Min: 89.65 / Avg: 89.98 / Max: 90.59 Min: 211.93 / Avg: 212.16 / Max: 212.49 Min: 285.71 / Avg: 286.3 / Max: 287.21 Min: 309.02 / Avg: 309.85 / Max: 310.56 Min: 165.23 / Avg: 166.07 / Max: 167.2 Min: 83.25 / Avg: 83.82 / Max: 84.14 Min: 125.55 / Avg: 126.67 / Max: 127.57 Min: 91.56 / Avg: 91.87 / Max: 92.33 Min: 131.57 / Avg: 132.61 / Max: 134.13 Min: 97.08 / Avg: 97.72 / Max: 99 Min: 253.65 / Avg: 254.24 / Max: 255.07 Min: 67.07 / Avg: 67.37 / Max: 67.95 Min: 302.91 / Avg: 303.59 / Max: 304.34 Min: 154.04 / Avg: 155.2 / Max: 156.75 Min: 107.41 / Avg: 108.46 / Max: 109.91 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 Min: 89.2 / Avg: 89.86 / Max: 90.75 Min: 98.3 / Avg: 99.12 / Max: 100.18 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 2 4 6 8 10 SE +/- 0.02, 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 +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 4.35 1.76 1.30 1.24 2.28 4.75 3.01 4.12 2.97 3.89 1.56 5.61 1.22 2.43 3.48 5.64 6.10 6.56 4.38 3.95 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 3 6 9 12 15 Min: 4.31 / Avg: 4.35 / Max: 4.37 Min: 1.75 / Avg: 1.76 / Max: 1.77 Min: 1.29 / Avg: 1.3 / Max: 1.3 Min: 1.23 / Avg: 1.24 / Max: 1.24 Min: 2.27 / Avg: 2.28 / Max: 2.3 Min: 4.74 / Avg: 4.75 / Max: 4.76 Min: 2.99 / Avg: 3.01 / Max: 3.02 Min: 4.12 / Avg: 4.12 / Max: 4.13 Min: 2.96 / Avg: 2.97 / Max: 2.98 Min: 3.89 / Avg: 3.89 / Max: 3.9 Min: 1.55 / Avg: 1.56 / Max: 1.57 Min: 5.59 / Avg: 5.61 / Max: 5.66 Min: 1.2 / Avg: 1.22 / Max: 1.23 Min: 2.42 / Avg: 2.43 / Max: 2.43 Min: 3.44 / Avg: 3.48 / Max: 3.51 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 Min: 4.36 / Avg: 4.38 / Max: 4.41 Min: 3.92 / Avg: 3.95 / Max: 3.99 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 2 4 6 8 10 SE +/- 0.02, 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 +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, 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 +/- 0.02, N = 3 SE +/- 0.02, N = 3 4.35 1.77 1.29 1.24 2.30 4.73 3.02 4.12 2.98 3.88 1.55 5.58 1.23 2.44 3.49 5.63 6.11 6.58 4.30 3.94 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 3 6 9 12 15 Min: 4.33 / Avg: 4.35 / Max: 4.38 Min: 1.77 / Avg: 1.77 / Max: 1.78 Min: 1.29 / Avg: 1.29 / Max: 1.3 Min: 1.23 / Avg: 1.24 / Max: 1.25 Min: 2.29 / Avg: 2.3 / Max: 2.3 Min: 4.72 / Avg: 4.73 / Max: 4.75 Min: 3 / Avg: 3.02 / Max: 3.03 Min: 4.11 / Avg: 4.12 / Max: 4.13 Min: 2.95 / Avg: 2.98 / Max: 3.01 Min: 3.86 / Avg: 3.88 / Max: 3.9 Min: 1.53 / Avg: 1.55 / Max: 1.58 Min: 5.53 / Avg: 5.58 / Max: 5.63 Min: 1.22 / Avg: 1.23 / Max: 1.24 Min: 2.43 / Avg: 2.44 / Max: 2.46 Min: 3.47 / Avg: 3.49 / Max: 3.51 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 Min: 4.26 / Avg: 4.3 / Max: 4.33 Min: 3.92 / Avg: 3.94 / Max: 3.98 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 200 400 600 800 1000 SE +/- 0.33, N = 3 SE +/- 0.33, 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 SE +/- 0.58, N = 3 570 240 174 162 315 601 415 554 384 532 196 732 165 332 471 756 820 864 582 513 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 150 300 450 600 750 Min: 415 / Avg: 415.33 / Max: 416 Min: 554 / Avg: 554.33 / Max: 555 Min: 530 / Avg: 531.67 / Max: 533 Min: 196 / Avg: 196.33 / Max: 197 Min: 755 / Avg: 756 / Max: 757 Min: 819 / Avg: 820 / Max: 821 Min: 862 / Avg: 863.67 / Max: 865 Min: 512 / Avg: 513 / Max: 514 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 8 16 24 32 40 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 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 +/- 0.00, 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 +/- 0.01, N = 3 9.55 22.25 30.98 32.88 17.54 8.88 13.30 9.87 13.77 10.39 27.00 7.26 32.38 16.30 11.48 7.21 6.26 6.25 9.56 10.49 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 7 14 21 28 35 Min: 9.55 / Avg: 9.55 / Max: 9.55 Min: 22.24 / Avg: 22.25 / Max: 22.25 Min: 30.94 / Avg: 30.98 / Max: 31.02 Min: 32.87 / Avg: 32.88 / Max: 32.89 Min: 17.54 / Avg: 17.54 / Max: 17.55 Min: 8.88 / Avg: 8.88 / Max: 8.89 Min: 13.3 / Avg: 13.3 / Max: 13.3 Min: 9.87 / Avg: 9.87 / Max: 9.87 Min: 13.76 / Avg: 13.77 / Max: 13.78 Min: 10.38 / Avg: 10.39 / Max: 10.4 Min: 26.97 / Avg: 27 / Max: 27.02 Min: 7.25 / Avg: 7.26 / Max: 7.26 Min: 32.37 / Avg: 32.38 / Max: 32.38 Min: 16.29 / Avg: 16.3 / Max: 16.3 Min: 11.48 / Avg: 11.48 / Max: 11.49 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 Min: 9.55 / Avg: 9.56 / Max: 9.57 Min: 10.48 / Avg: 10.49 / Max: 10.5 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 3 6 9 12 15 SE +/- 0.00330, N = 3 SE +/- 0.07848, N = 3 SE +/- 0.06464, N = 3 SE +/- 0.02321, N = 3 SE +/- 0.07374, N = 3 SE +/- 0.00727, N = 3 SE +/- 0.02264, N = 3 SE +/- 0.01388, N = 3 SE +/- 0.03563, N = 3 SE +/- 0.01709, N = 3 SE +/- 0.04355, N = 3 SE +/- 0.03246, N = 3 SE +/- 0.13888, N = 3 SE +/- 0.00888, N = 3 SE +/- 0.04730, N = 3 SE +/- 0.00807, N = 3 SE +/- 0.00193, N = 3 SE +/- 0.01117, N = 3 SE +/- 0.00963, N = 3 SE +/- 0.03237, N = 3 2.23666 5.80076 8.37286 9.61958 6.27642 2.11379 7.15861 2.39590 5.61953 2.37717 7.96836 2.07711 9.24304 6.23365 6.08993 1.97320 2.11772 1.84929 2.20492 5.81070 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 3 6 9 12 15 Min: 2.23 / Avg: 2.24 / Max: 2.24 Min: 5.71 / Avg: 5.8 / Max: 5.96 Min: 8.25 / Avg: 8.37 / Max: 8.47 Min: 9.58 / Avg: 9.62 / Max: 9.65 Min: 6.18 / Avg: 6.28 / Max: 6.42 Min: 2.1 / Avg: 2.11 / Max: 2.13 Min: 7.12 / Avg: 7.16 / Max: 7.19 Min: 2.37 / Avg: 2.4 / Max: 2.42 Min: 5.55 / Avg: 5.62 / Max: 5.66 Min: 2.34 / Avg: 2.38 / Max: 2.4 Min: 7.89 / Avg: 7.97 / Max: 8.04 Min: 2.03 / Avg: 2.08 / Max: 2.14 Min: 9 / Avg: 9.24 / Max: 9.48 Min: 6.22 / Avg: 6.23 / Max: 6.24 Min: 6.03 / Avg: 6.09 / Max: 6.18 Min: 1.96 / Avg: 1.97 / Max: 1.99 Min: 2.11 / Avg: 2.12 / Max: 2.12 Min: 1.83 / Avg: 1.85 / Max: 1.87 Min: 2.19 / Avg: 2.2 / Max: 2.22 Min: 5.75 / Avg: 5.81 / Max: 5.86 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 50 100 150 200 250 SE +/- 0.08, N = 3 SE +/- 0.40, N = 3 SE +/- 0.74, N = 3 SE +/- 0.18, N = 3 SE +/- 0.31, N = 3 SE +/- 0.22, N = 3 SE +/- 0.08, N = 3 SE +/- 0.11, N = 3 SE +/- 0.13, N = 3 SE +/- 0.73, N = 3 SE +/- 0.21, N = 3 SE +/- 0.33, N = 3 SE +/- 1.38, N = 3 SE +/- 0.07, N = 3 SE +/- 0.33, N = 3 SE +/- 0.06, N = 3 SE +/- 0.14, N = 3 SE +/- 0.04, N = 3 SE +/- 0.39, N = 3 SE +/- 0.32, N = 3 61.39 144.84 192.65 207.16 114.07 58.77 84.66 64.81 88.35 69.33 165.25 47.77 214.06 107.22 73.60 48.27 41.73 42.02 62.29 68.12
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: BMW27 - Compute: CPU-Only EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 40 80 120 160 200 Min: 61.3 / Avg: 61.39 / Max: 61.55 Min: 144.04 / Avg: 144.84 / Max: 145.31 Min: 191.37 / Avg: 192.65 / Max: 193.92 Min: 206.8 / Avg: 207.16 / Max: 207.4 Min: 113.59 / Avg: 114.07 / Max: 114.66 Min: 58.35 / Avg: 58.77 / Max: 59.06 Min: 84.5 / Avg: 84.66 / Max: 84.76 Min: 64.63 / Avg: 64.81 / Max: 65.01 Min: 88.14 / Avg: 88.35 / Max: 88.6 Min: 67.94 / Avg: 69.33 / Max: 70.39 Min: 164.92 / Avg: 165.25 / Max: 165.65 Min: 47.25 / Avg: 47.77 / Max: 48.37 Min: 212.22 / Avg: 214.06 / Max: 216.75 Min: 107.13 / Avg: 107.22 / Max: 107.36 Min: 72.99 / Avg: 73.6 / Max: 74.1 Min: 48.17 / Avg: 48.27 / Max: 48.39 Min: 41.46 / Avg: 41.73 / Max: 41.91 Min: 41.96 / Avg: 42.02 / Max: 42.09 Min: 61.67 / Avg: 62.29 / Max: 63.01 Min: 67.79 / Avg: 68.12 / Max: 68.76
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 6 12 18 24 30 SE +/- 0.057, N = 3 SE +/- 0.053, N = 3 SE +/- 0.016, N = 3 SE +/- 0.052, N = 9 SE +/- 0.053, N = 3 SE +/- 0.046, N = 3 SE +/- 0.055, N = 3 SE +/- 0.007, N = 3 SE +/- 0.005, N = 3 SE +/- 0.073, N = 3 SE +/- 0.065, N = 3 SE +/- 0.054, N = 3 SE +/- 0.015, N = 3 SE +/- 0.032, N = 3 SE +/- 0.009, N = 3 SE +/- 0.047, N = 3 SE +/- 0.164, N = 3 SE +/- 0.022, N = 3 SE +/- 0.038, N = 3 SE +/- 0.028, N = 3 17.261 7.459 5.762 4.895 9.441 17.943 13.040 17.343 12.242 16.078 5.531 22.000 5.214 10.431 14.700 22.299 24.188 25.007 17.307 16.035 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 6 12 18 24 30 Min: 17.15 / Avg: 17.26 / Max: 17.33 Min: 7.4 / Avg: 7.46 / Max: 7.56 Min: 5.73 / Avg: 5.76 / Max: 5.78 Min: 4.57 / Avg: 4.9 / Max: 5.06 Min: 9.35 / Avg: 9.44 / Max: 9.54 Min: 17.88 / Avg: 17.94 / Max: 18.03 Min: 12.93 / Avg: 13.04 / Max: 13.11 Min: 17.33 / Avg: 17.34 / Max: 17.36 Min: 12.23 / Avg: 12.24 / Max: 12.25 Min: 15.98 / Avg: 16.08 / Max: 16.22 Min: 5.43 / Avg: 5.53 / Max: 5.65 Min: 21.93 / Avg: 22 / Max: 22.11 Min: 5.18 / Avg: 5.21 / Max: 5.23 Min: 10.37 / Avg: 10.43 / Max: 10.48 Min: 14.68 / Avg: 14.7 / Max: 14.72 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 Min: 17.26 / Avg: 17.31 / Max: 17.38 Min: 15.98 / Avg: 16.04 / Max: 16.06 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 50 100 150 200 250 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.17, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.26, N = 3 SE +/- 0.01, N = 3 SE +/- 0.10, N = 3 SE +/- 0.05, N = 3 SE +/- 0.10, N = 3 SE +/- 0.09, N = 3 SE +/- 0.27, N = 3 SE +/- 0.09, N = 3 SE +/- 0.06, N = 3 167.97 68.59 50.44 47.79 83.37 182.84 114.47 162.20 108.28 152.48 58.90 218.50 48.61 90.31 134.24 219.29 243.77 243.21 168.05 149.44
Result Confidence
OpenBenchmarking.org mrays/s, More Is Better rays1bench 2020-01-09 Large Scene EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 40 80 120 160 200 Min: 167.81 / Avg: 167.97 / Max: 168.11 Min: 68.53 / Avg: 68.59 / Max: 68.63 Min: 50.41 / Avg: 50.44 / Max: 50.48 Min: 47.7 / Avg: 47.79 / Max: 47.88 Min: 83.02 / Avg: 83.37 / Max: 83.54 Min: 182.76 / Avg: 182.84 / Max: 182.93 Min: 114.38 / Avg: 114.47 / Max: 114.53 Min: 162.12 / Avg: 162.2 / Max: 162.29 Min: 108.18 / Avg: 108.28 / Max: 108.44 Min: 152.45 / Avg: 152.48 / Max: 152.51 Min: 58.86 / Avg: 58.9 / Max: 58.95 Min: 218.04 / Avg: 218.5 / Max: 218.94 Min: 48.59 / Avg: 48.61 / Max: 48.62 Min: 90.19 / Avg: 90.31 / Max: 90.51 Min: 134.14 / Avg: 134.24 / Max: 134.33 Min: 219.13 / Avg: 219.29 / Max: 219.46 Min: 243.6 / Avg: 243.77 / Max: 243.91 Min: 242.78 / Avg: 243.21 / Max: 243.72 Min: 167.87 / Avg: 168.05 / Max: 168.17 Min: 149.35 / Avg: 149.44 / Max: 149.54
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 160K 320K 480K 640K 800K SE +/- 3314.57, N = 3 SE +/- 190.54, N = 3 SE +/- 281.99, N = 3 SE +/- 242.40, N = 3 SE +/- 371.28, N = 3 SE +/- 1853.99, N = 3 SE +/- 964.32, N = 3 SE +/- 1360.81, N = 3 SE +/- 595.69, N = 3 SE +/- 1819.29, N = 3 SE +/- 763.33, N = 3 SE +/- 1753.24, N = 3 SE +/- 390.58, N = 3 SE +/- 458.18, N = 3 SE +/- 148.41, N = 3 SE +/- 1866.98, N = 3 SE +/- 11784.18, N = 3 SE +/- 11534.89, N = 3 SE +/- 1272.74, N = 3 SE +/- 744.17, N = 3 513483 226615 158358 152685 285548 550558 381123 489956 337875 474244 178724 642567 144558 311207 437752 649201 725672 731736 514016 463582 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 130K 260K 390K 520K 650K Min: 506902.52 / Avg: 513483.29 / Max: 517465.87 Min: 226256.52 / Avg: 226615.41 / Max: 226905.81 Min: 157829.21 / Avg: 158358.26 / Max: 158791.99 Min: 152214.65 / Avg: 152685.35 / Max: 153021.23 Min: 285054.9 / Avg: 285547.86 / Max: 286275.27 Min: 546858.3 / Avg: 550558.13 / Max: 552620.87 Min: 379914.86 / Avg: 381122.97 / Max: 383028.99 Min: 487238.87 / Avg: 489955.82 / Max: 491452.38 Min: 337174.62 / Avg: 337874.52 / Max: 339059.42 Min: 471317.66 / Avg: 474244.13 / Max: 477579.87 Min: 177208.31 / Avg: 178724.19 / Max: 179639.08 Min: 639083.37 / Avg: 642567.28 / Max: 644653.15 Min: 144006.14 / Avg: 144558.41 / Max: 145312.98 Min: 310297.61 / Avg: 311206.78 / Max: 311760.54 Min: 437599.54 / Avg: 437751.6 / Max: 438048.38 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 Min: 511766.55 / Avg: 514016.17 / Max: 516172.49 Min: 462640.97 / Avg: 463581.66 / Max: 465050.85 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 0.3893 0.7786 1.1679 1.5572 1.9465 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.006, N = 3 SE +/- 0.001, N = 3 SE +/- 0.005, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.006, N = 3 SE +/- 0.005, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 0.488 1.104 1.580 1.638 0.876 0.455 0.657 0.511 0.741 0.528 1.400 0.390 1.730 0.804 0.572 0.386 0.346 0.343 0.487 0.540 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 2 4 6 8 10 Min: 0.48 / Avg: 0.49 / Max: 0.49 Min: 1.1 / Avg: 1.1 / Max: 1.11 Min: 1.58 / Avg: 1.58 / Max: 1.59 Min: 1.64 / Avg: 1.64 / Max: 1.64 Min: 0.87 / Avg: 0.88 / Max: 0.88 Min: 0.45 / Avg: 0.46 / Max: 0.46 Min: 0.65 / Avg: 0.66 / Max: 0.66 Min: 0.51 / Avg: 0.51 / Max: 0.51 Min: 0.74 / Avg: 0.74 / Max: 0.74 Min: 0.52 / Avg: 0.53 / Max: 0.53 Min: 1.39 / Avg: 1.4 / Max: 1.41 Min: 0.39 / Avg: 0.39 / Max: 0.39 Min: 1.72 / Avg: 1.73 / Max: 1.74 Min: 0.8 / Avg: 0.8 / Max: 0.81 Min: 0.57 / Avg: 0.57 / Max: 0.57 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 Min: 0.49 / Avg: 0.49 / Max: 0.49 Min: 0.54 / Avg: 0.54 / Max: 0.54 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 14 28 42 56 70 SE +/- 0.03, N = 3 SE +/- 0.10, N = 3 SE +/- 0.16, N = 3 SE +/- 0.29, N = 3 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 SE +/- 0.08, N = 3 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 SE +/- 0.11, N = 3 SE +/- 0.02, N = 3 SE +/- 0.09, N = 3 SE +/- 0.14, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.09, N = 3 18.51 41.65 57.60 61.51 33.03 17.04 25.35 19.09 26.27 19.91 50.03 14.19 60.37 31.05 22.14 14.11 12.26 12.21 18.44 19.89 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 12 24 36 48 60 Min: 18.47 / Avg: 18.51 / Max: 18.57 Min: 41.44 / Avg: 41.65 / Max: 41.77 Min: 57.29 / Avg: 57.6 / Max: 57.82 Min: 60.97 / Avg: 61.51 / Max: 61.97 Min: 32.97 / Avg: 33.03 / Max: 33.13 Min: 16.94 / Avg: 17.04 / Max: 17.13 Min: 25.21 / Avg: 25.35 / Max: 25.51 Min: 19 / Avg: 19.09 / Max: 19.15 Min: 26.18 / Avg: 26.27 / Max: 26.37 Min: 19.82 / Avg: 19.91 / Max: 20 Min: 49.81 / Avg: 50.03 / Max: 50.16 Min: 14.15 / Avg: 14.19 / Max: 14.22 Min: 60.21 / Avg: 60.37 / Max: 60.52 Min: 30.9 / Avg: 31.05 / Max: 31.33 Min: 22.06 / Avg: 22.14 / Max: 22.21 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 Min: 18.3 / Avg: 18.44 / Max: 18.53 Min: 19.8 / Avg: 19.89 / Max: 20.07 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 200K 400K 600K 800K 1000K SE +/- 2586.15, N = 3 SE +/- 637.02, N = 3 SE +/- 874.00, N = 3 SE +/- 444.88, N = 3 SE +/- 2227.34, N = 3 SE +/- 574.88, N = 3 SE +/- 884.69, N = 3 SE +/- 287.53, N = 3 SE +/- 819.25, N = 3 SE +/- 6473.07, N = 3 SE +/- 704.81, N = 3 SE +/- 3785.97, N = 3 SE +/- 87.29, N = 3 SE +/- 1217.31, N = 3 SE +/- 1031.24, N = 3 SE +/- 2622.87, N = 3 SE +/- 570.05, N = 3 SE +/- 1464.36, N = 3 SE +/- 2789.75, N = 3 SE +/- 3196.29, N = 3 692827 278801 199119 191561 364836 746431 450148 588980 410284 625180 225099 947547 190060 364724 522618 954573 842042 837443 690889 538427 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 170K 340K 510K 680K 850K Min: 690194.76 / Avg: 692827.15 / Max: 697999.18 Min: 277732.53 / Avg: 278800.91 / Max: 279936.18 Min: 197398.93 / Avg: 199119.18 / Max: 200248.01 Min: 190678.73 / Avg: 191561.09 / Max: 192101.4 Min: 360469.96 / Avg: 364836.23 / Max: 367784.14 Min: 745405.8 / Avg: 746431 / Max: 747394.36 Min: 448933.06 / Avg: 450147.68 / Max: 451869.24 Min: 588673.02 / Avg: 588979.95 / Max: 589554.56 Min: 408978.87 / Avg: 410283.57 / Max: 411794.3 Min: 612463.48 / Avg: 625180.49 / Max: 633639.01 Min: 224328.18 / Avg: 225098.69 / Max: 226506.21 Min: 940111.61 / Avg: 947547.37 / Max: 952503.31 Min: 189965.32 / Avg: 190060.47 / Max: 190234.8 Min: 362322.11 / Avg: 364724.07 / Max: 366269.28 Min: 520867.61 / Avg: 522617.98 / Max: 524437.91 Min: 949330.8 / Avg: 954572.83 / Max: 957364.51 Min: 841070.28 / Avg: 842041.76 / Max: 843044.24 Min: 834514.55 / Avg: 837442.79 / Max: 838952.55 Min: 685623.23 / Avg: 690888.85 / Max: 695119.5 Min: 532561.51 / Avg: 538427.36 / Max: 543560.87 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 0.1186 0.2372 0.3558 0.4744 0.593 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 +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, 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 +/- 0.001, N = 3 SE +/- 0.001, N = 3 0.144 0.359 0.503 0.522 0.274 0.134 0.223 0.170 0.244 0.160 0.445 0.106 0.527 0.274 0.192 0.105 0.119 0.119 0.145 0.186 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 2 4 6 8 10 Min: 0.14 / Avg: 0.14 / Max: 0.15 Min: 0.36 / Avg: 0.36 / Max: 0.36 Min: 0.5 / Avg: 0.5 / Max: 0.51 Min: 0.52 / Avg: 0.52 / Max: 0.53 Min: 0.27 / Avg: 0.27 / Max: 0.28 Min: 0.13 / Avg: 0.13 / Max: 0.13 Min: 0.22 / Avg: 0.22 / Max: 0.22 Min: 0.17 / Avg: 0.17 / Max: 0.17 Min: 0.24 / Avg: 0.24 / Max: 0.25 Min: 0.16 / Avg: 0.16 / Max: 0.16 Min: 0.44 / Avg: 0.44 / Max: 0.45 Min: 0.11 / Avg: 0.11 / Max: 0.11 Min: 0.53 / Avg: 0.53 / Max: 0.53 Min: 0.27 / Avg: 0.27 / Max: 0.28 Min: 0.19 / Avg: 0.19 / Max: 0.19 Min: 0.11 / Avg: 0.11 / Max: 0.11 Min: 0.12 / Avg: 0.12 / Max: 0.12 Min: 0.12 / Avg: 0.12 / Max: 0.12 Min: 0.14 / Avg: 0.15 / Max: 0.15 Min: 0.18 / Avg: 0.19 / Max: 0.19 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 6 12 18 24 30 SE +/- 0.24, N = 15 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.23, N = 3 SE +/- 0.14, N = 6 SE +/- 0.21, N = 4 SE +/- 0.00, N = 3 SE +/- 0.28, N = 3 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 SE +/- 0.02, N = 3 SE +/- 0.19, N = 3 SE +/- 0.16, N = 15 SE +/- 0.25, N = 15 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.28, N = 4 SE +/- 0.01, N = 3 18.72 8.77 6.06 5.57 11.06 19.87 13.00 14.91 13.84 16.83 7.66 24.70 6.49 11.54 14.57 23.66 27.41 27.53 19.60 18.55
Result Confidence
OpenBenchmarking.org Images / Sec, More Is Better Intel Open Image Denoise 1.2.0 Scene: Memorial EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 6 12 18 24 30 Min: 16.88 / Avg: 18.72 / Max: 19.81 Min: 8.73 / Avg: 8.77 / Max: 8.81 Min: 6.02 / Avg: 6.06 / Max: 6.09 Min: 5.47 / Avg: 5.57 / Max: 5.62 Min: 10.99 / Avg: 11.06 / Max: 11.12 Min: 19.63 / Avg: 19.87 / Max: 20.32 Min: 12.45 / Avg: 13 / Max: 13.55 Min: 14.66 / Avg: 14.91 / Max: 15.55 Min: 13.83 / Avg: 13.84 / Max: 13.84 Min: 16.43 / Avg: 16.83 / Max: 17.36 Min: 7.63 / Avg: 7.66 / Max: 7.7 Min: 24.56 / Avg: 24.7 / Max: 24.8 Min: 6.46 / Avg: 6.49 / Max: 6.51 Min: 11.19 / Avg: 11.54 / Max: 11.82 Min: 13.77 / Avg: 14.57 / Max: 15.9 Min: 22 / Avg: 23.66 / Max: 25.03 Min: 27.34 / Avg: 27.41 / Max: 27.46 Min: 27.42 / Avg: 27.53 / Max: 27.62 Min: 18.81 / Avg: 19.6 / Max: 20.07 Min: 18.53 / Avg: 18.55 / Max: 18.57
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 150K 300K 450K 600K 750K SE +/- 1331.68, N = 3 SE +/- 402.38, N = 3 SE +/- 175.33, N = 3 SE +/- 228.56, N = 3 SE +/- 619.63, N = 3 SE +/- 2717.04, N = 3 SE +/- 1409.40, N = 3 SE +/- 1195.56, N = 3 SE +/- 555.77, N = 3 SE +/- 724.69, N = 3 SE +/- 247.67, N = 3 SE +/- 1356.41, N = 3 SE +/- 215.85, N = 3 SE +/- 1077.02, N = 3 SE +/- 144.21, N = 3 SE +/- 3817.77, N = 3 SE +/- 7702.49, N = 6 SE +/- 7809.46, N = 3 SE +/- 1730.67, N = 3 SE +/- 1014.57, N = 3 484567 216661 151111 146025 271729 517604 362848 465233 319683 450377 169435 598734 138357 296331 417043 593198 671452 680891 485489 443685 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 120K 240K 360K 480K 600K Min: 482176.8 / Avg: 484566.79 / Max: 486779.65 Min: 215859.43 / Avg: 216661.44 / Max: 217120.02 Min: 150760.55 / Avg: 151110.81 / Max: 151300.29 Min: 145741.05 / Avg: 146025.04 / Max: 146477.26 Min: 270504.51 / Avg: 271728.67 / Max: 272507.76 Min: 513346.16 / Avg: 517604.43 / Max: 522657.15 Min: 360029.39 / Avg: 362848.08 / Max: 364277.87 Min: 462949.41 / Avg: 465233.32 / Max: 466988.38 Min: 319110.96 / Avg: 319682.59 / Max: 320793.98 Min: 449445.05 / Avg: 450376.81 / Max: 451804.14 Min: 168939.25 / Avg: 169434.57 / Max: 169687.21 Min: 596198.71 / Avg: 598733.94 / Max: 600837.62 Min: 137940.02 / Avg: 138357.37 / Max: 138661.61 Min: 294542.54 / Avg: 296331.36 / Max: 298265.02 Min: 416754.87 / Avg: 417043.13 / Max: 417195.63 Min: 588437.25 / Avg: 593198.23 / Max: 600748.42 Min: 641670.74 / Avg: 671451.59 / Max: 692136.61 Min: 668077.17 / Avg: 680891.1 / Max: 695032.12 Min: 482047.03 / Avg: 485488.6 / Max: 487529.28 Min: 441750.91 / Avg: 443684.54 / Max: 445184.12 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 0.4068 0.8136 1.2204 1.6272 2.034 SE +/- 0.001, 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 +/- 0.003, 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 +/- 0.003, N = 3 SE +/- 0.003, N = 3 SE +/- 0.000, N = 3 SE +/- 0.003, N = 3 SE +/- 0.004, N = 6 SE +/- 0.004, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 0.517 1.155 1.655 1.713 0.921 0.484 0.690 0.538 0.783 0.556 1.476 0.418 1.808 0.844 0.600 0.422 0.374 0.368 0.516 0.564 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 2 4 6 8 10 Min: 0.52 / Avg: 0.52 / Max: 0.52 Min: 1.15 / Avg: 1.15 / Max: 1.16 Min: 1.65 / Avg: 1.66 / Max: 1.66 Min: 1.71 / Avg: 1.71 / Max: 1.72 Min: 0.92 / Avg: 0.92 / Max: 0.93 Min: 0.48 / Avg: 0.48 / Max: 0.49 Min: 0.69 / Avg: 0.69 / Max: 0.7 Min: 0.54 / Avg: 0.54 / Max: 0.54 Min: 0.78 / Avg: 0.78 / Max: 0.78 Min: 0.55 / Avg: 0.56 / Max: 0.56 Min: 1.47 / Avg: 1.48 / Max: 1.48 Min: 0.42 / Avg: 0.42 / Max: 0.42 Min: 1.8 / Avg: 1.81 / Max: 1.81 Min: 0.84 / Avg: 0.84 / Max: 0.85 Min: 0.6 / Avg: 0.6 / Max: 0.6 Min: 0.42 / Avg: 0.42 / Max: 0.43 Min: 0.36 / Avg: 0.37 / Max: 0.39 Min: 0.36 / Avg: 0.37 / Max: 0.38 Min: 0.51 / Avg: 0.52 / Max: 0.52 Min: 0.56 / Avg: 0.56 / Max: 0.57 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 160K 320K 480K 640K 800K SE +/- 177.44, N = 3 SE +/- 329.91, N = 3 SE +/- 305.74, N = 3 SE +/- 205.85, N = 3 SE +/- 966.61, N = 3 SE +/- 546.50, N = 3 SE +/- 1232.15, N = 3 SE +/- 111.05, N = 3 SE +/- 683.10, N = 3 SE +/- 470.31, N = 3 SE +/- 241.14, N = 3 SE +/- 2221.89, N = 3 SE +/- 254.87, N = 3 SE +/- 389.05, N = 3 SE +/- 1670.95, N = 3 SE +/- 1797.71, N = 3 SE +/- 4530.06, N = 3 SE +/- 827.25, N = 3 SE +/- 1887.75, N = 3 SE +/- 969.08, N = 3 495910 228748 158436 156630 282418 531391 358726 466511 315464 455775 177920 649224 153957 298191 407055 663004 727901 743304 492677 427421 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 130K 260K 390K 520K 650K Min: 495717.03 / Avg: 495910.37 / Max: 496264.76 Min: 228141.19 / Avg: 228748.21 / Max: 229275.69 Min: 157865.28 / Avg: 158436.38 / Max: 158911.19 Min: 156252.68 / Avg: 156629.93 / Max: 156961.35 Min: 281209.04 / Avg: 282418.32 / Max: 284329.18 Min: 530679.58 / Avg: 531390.67 / Max: 532465.07 Min: 356400.28 / Avg: 358726.15 / Max: 360594.31 Min: 466312.01 / Avg: 466511.04 / Max: 466695.91 Min: 314189.87 / Avg: 315463.89 / Max: 316528.12 Min: 454920.9 / Avg: 455775.26 / Max: 456543.22 Min: 177454.45 / Avg: 177919.83 / Max: 178262.11 Min: 645401.97 / Avg: 649223.99 / Max: 653098.28 Min: 153447.84 / Avg: 153956.74 / Max: 154236.45 Min: 297431.92 / Avg: 298190.97 / Max: 298718.73 Min: 403723.1 / Avg: 407054.86 / Max: 408946.14 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 Min: 490194.35 / Avg: 492676.87 / Max: 496381.59 Min: 425483.96 / Avg: 427421.1 / Max: 428444.12 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 0.7793 1.5586 2.3379 3.1172 3.8965 SE +/- 0.002388, N = 3 SE +/- 0.007608, N = 3 SE +/- 0.006361, N = 3 SE +/- 0.016593, N = 3 SE +/- 0.004830, N = 3 SE +/- 0.001175, N = 3 SE +/- 0.004607, N = 3 SE +/- 0.002118, N = 3 SE +/- 0.000682, N = 3 SE +/- 0.003046, N = 3 SE +/- 0.009985, N = 3 SE +/- 0.002251, N = 3 SE +/- 0.004002, N = 3 SE +/- 0.001101, N = 3 SE +/- 0.003515, N = 3 SE +/- 0.001383, N = 3 SE +/- 0.000923, N = 3 SE +/- 0.001863, N = 3 SE +/- 0.001858, N = 3 SE +/- 0.002303, N = 3 0.988117 2.349540 3.068100 3.463720 1.755500 0.904213 1.417550 1.070150 1.411110 1.044080 2.771650 0.806585 3.214030 1.610260 1.153190 0.787011 0.808188 0.719245 0.964679 1.065380 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 2 4 6 8 10 Min: 0.99 / Avg: 0.99 / Max: 0.99 Min: 2.34 / Avg: 2.35 / Max: 2.36 Min: 3.06 / Avg: 3.07 / Max: 3.08 Min: 3.43 / Avg: 3.46 / Max: 3.49 Min: 1.75 / Avg: 1.76 / Max: 1.76 Min: 0.9 / Avg: 0.9 / Max: 0.91 Min: 1.41 / Avg: 1.42 / Max: 1.43 Min: 1.07 / Avg: 1.07 / Max: 1.07 Min: 1.41 / Avg: 1.41 / Max: 1.41 Min: 1.04 / Avg: 1.04 / Max: 1.05 Min: 2.75 / Avg: 2.77 / Max: 2.78 Min: 0.8 / Avg: 0.81 / Max: 0.81 Min: 3.21 / Avg: 3.21 / Max: 3.22 Min: 1.61 / Avg: 1.61 / Max: 1.61 Min: 1.15 / Avg: 1.15 / Max: 1.16 Min: 0.79 / Avg: 0.79 / Max: 0.79 Min: 0.81 / Avg: 0.81 / Max: 0.81 Min: 0.72 / Avg: 0.72 / Max: 0.72 Min: 0.96 / Avg: 0.96 / Max: 0.97 Min: 1.06 / Avg: 1.07 / Max: 1.07 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 0.1463 0.2926 0.4389 0.5852 0.7315 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, 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 +/- 0.001, 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 0.202 0.438 0.632 0.639 0.354 0.189 0.279 0.215 0.317 0.220 0.562 0.154 0.650 0.336 0.246 0.151 0.138 0.135 0.203 0.234 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 2 4 6 8 10 Min: 0.2 / Avg: 0.2 / Max: 0.2 Min: 0.44 / Avg: 0.44 / Max: 0.44 Min: 0.63 / Avg: 0.63 / Max: 0.63 Min: 0.64 / Avg: 0.64 / Max: 0.64 Min: 0.35 / Avg: 0.35 / Max: 0.36 Min: 0.19 / Avg: 0.19 / Max: 0.19 Min: 0.28 / Avg: 0.28 / Max: 0.28 Min: 0.22 / Avg: 0.22 / Max: 0.22 Min: 0.32 / Avg: 0.32 / Max: 0.32 Min: 0.22 / Avg: 0.22 / Max: 0.22 Min: 0.56 / Avg: 0.56 / Max: 0.56 Min: 0.15 / Avg: 0.15 / Max: 0.16 Min: 0.65 / Avg: 0.65 / Max: 0.65 Min: 0.34 / Avg: 0.34 / Max: 0.34 Min: 0.25 / Avg: 0.25 / Max: 0.25 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 Min: 0.2 / Avg: 0.2 / Max: 0.2 Min: 0.23 / Avg: 0.23 / Max: 0.24 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 2 4 6 8 10 SE +/- 0.00981, N = 3 SE +/- 0.00826, N = 3 SE +/- 0.00392, N = 3 SE +/- 0.01899, N = 3 SE +/- 0.00325, N = 3 SE +/- 0.00585, N = 3 SE +/- 0.02965, N = 3 SE +/- 0.00968, N = 3 SE +/- 0.00475, N = 3 SE +/- 0.01238, N = 3 SE +/- 0.03536, N = 3 SE +/- 0.01046, N = 3 SE +/- 0.01674, N = 3 SE +/- 0.00937, N = 3 SE +/- 0.04018, N = 3 SE +/- 0.00727, N = 3 SE +/- 0.00129, N = 3 SE +/- 0.00706, N = 3 SE +/- 0.00223, N = 3 SE +/- 0.00420, N = 3 2.02097 4.75589 6.33812 7.00609 3.41483 1.89790 2.81942 2.07830 2.85775 2.14353 5.76680 1.57190 6.80051 3.43344 2.45058 1.55827 1.57850 1.45860 2.00515 2.18628 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 3 6 9 12 15 Min: 2 / Avg: 2.02 / Max: 2.04 Min: 4.74 / Avg: 4.76 / Max: 4.77 Min: 6.33 / Avg: 6.34 / Max: 6.34 Min: 6.98 / Avg: 7.01 / Max: 7.04 Min: 3.41 / Avg: 3.41 / Max: 3.42 Min: 1.89 / Avg: 1.9 / Max: 1.91 Min: 2.76 / Avg: 2.82 / Max: 2.85 Min: 2.06 / Avg: 2.08 / Max: 2.09 Min: 2.85 / Avg: 2.86 / Max: 2.87 Min: 2.13 / Avg: 2.14 / Max: 2.17 Min: 5.71 / Avg: 5.77 / Max: 5.83 Min: 1.56 / Avg: 1.57 / Max: 1.59 Min: 6.77 / Avg: 6.8 / Max: 6.83 Min: 3.42 / Avg: 3.43 / Max: 3.45 Min: 2.37 / Avg: 2.45 / Max: 2.51 Min: 1.55 / Avg: 1.56 / Max: 1.57 Min: 1.58 / Avg: 1.58 / Max: 1.58 Min: 1.45 / Avg: 1.46 / Max: 1.47 Min: 2 / Avg: 2.01 / Max: 2.01 Min: 2.18 / Avg: 2.19 / Max: 2.19 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 150K 300K 450K 600K 750K SE +/- 1456.20, N = 3 SE +/- 317.07, N = 3 SE +/- 122.43, N = 3 SE +/- 282.55, N = 3 SE +/- 237.11, N = 3 SE +/- 1742.02, N = 3 SE +/- 647.23, N = 3 SE +/- 534.92, N = 3 SE +/- 578.92, N = 3 SE +/- 481.91, N = 3 SE +/- 440.23, N = 3 SE +/- 2561.67, N = 3 SE +/- 116.38, N = 3 SE +/- 221.72, N = 3 SE +/- 1253.21, N = 3 SE +/- 4128.12, N = 3 SE +/- 3649.95, N = 3 SE +/- 1979.45, N = 3 SE +/- 484.01, N = 3 SE +/- 269.40, N = 3 473444 219503 150221 149308 272783 506125 345271 445001 299776 438754 169323 623171 147105 283951 392376 631040 683975 703406 475214 408226 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 120K 240K 360K 480K 600K Min: 471852.79 / Avg: 473444.33 / Max: 476352.39 Min: 219004.1 / Avg: 219503.27 / Max: 220091.57 Min: 150063.06 / Avg: 150220.92 / Max: 150461.96 Min: 148785.99 / Avg: 149307.5 / Max: 149756.72 Min: 272354.55 / Avg: 272782.71 / Max: 273173.35 Min: 502686.88 / Avg: 506124.8 / Max: 508333.05 Min: 344389.34 / Avg: 345271.42 / Max: 346532.94 Min: 444155.82 / Avg: 445000.55 / Max: 445991.47 Min: 298700.71 / Avg: 299775.71 / Max: 300685.69 Min: 437804.64 / Avg: 438753.97 / Max: 439372.84 Min: 168770.72 / Avg: 169322.65 / Max: 170192.71 Min: 618057.73 / Avg: 623171.49 / Max: 625999.8 Min: 146879.97 / Avg: 147104.64 / Max: 147269.66 Min: 283511.64 / Avg: 283950.66 / Max: 284224.23 Min: 390015.68 / Avg: 392375.76 / Max: 394286.62 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 Min: 474343.21 / Avg: 475213.99 / Max: 476015.6 Min: 407943.45 / Avg: 408226.49 / Max: 408765.06 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 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 +/- 0.001, 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 +/- 0.002, 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 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 0.211 0.456 0.666 0.670 0.367 0.198 0.290 0.225 0.334 0.228 0.591 0.161 0.680 0.352 0.255 0.159 0.146 0.143 0.211 0.245 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 2 4 6 8 10 Min: 0.21 / Avg: 0.21 / Max: 0.21 Min: 0.46 / Avg: 0.46 / Max: 0.46 Min: 0.67 / Avg: 0.67 / Max: 0.67 Min: 0.67 / Avg: 0.67 / Max: 0.67 Min: 0.37 / Avg: 0.37 / Max: 0.37 Min: 0.2 / Avg: 0.2 / Max: 0.2 Min: 0.29 / Avg: 0.29 / Max: 0.29 Min: 0.23 / Avg: 0.23 / Max: 0.23 Min: 0.33 / Avg: 0.33 / Max: 0.34 Min: 0.23 / Avg: 0.23 / Max: 0.23 Min: 0.59 / Avg: 0.59 / Max: 0.59 Min: 0.16 / Avg: 0.16 / Max: 0.16 Min: 0.68 / Avg: 0.68 / Max: 0.68 Min: 0.35 / Avg: 0.35 / Max: 0.35 Min: 0.25 / Avg: 0.26 / Max: 0.26 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 Min: 0.21 / Avg: 0.21 / Max: 0.21 Min: 0.25 / Avg: 0.25 / Max: 0.25 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 40K 80K 120K 160K 200K SE +/- 62.14, N = 3 SE +/- 28.32, N = 3 SE +/- 319.47, N = 3 SE +/- 384.36, N = 3 SE +/- 28.02, N = 3 SE +/- 23.48, N = 3 SE +/- 79.13, N = 3 SE +/- 133.33, N = 3 SE +/- 89.89, N = 3 SE +/- 122.28, N = 3 SE +/- 145.83, N = 3 SE +/- 35.66, N = 3 SE +/- 17.29, N = 3 SE +/- 74.39, N = 3 SE +/- 233.89, N = 3 SE +/- 94.61, N = 3 SE +/- 138.57, N = 3 SE +/- 64.61, N = 3 SE +/- 22.72, N = 3 SE +/- 76.57, N = 3 47132.4 120293.0 160652.0 171635.0 84104.2 44046.0 75486.4 50965.7 68647.0 51004.7 139149.0 50064.0 161011.0 80410.4 62532.0 47246.1 46464.0 37901.1 47163.9 59952.8
Result Confidence
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Mobilenet Float EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 30K 60K 90K 120K 150K Min: 47008.3 / Avg: 47132.37 / Max: 47200.6 Min: 120245 / Avg: 120292.67 / Max: 120343 Min: 160061 / Avg: 160651.67 / Max: 161158 Min: 170868 / Avg: 171635 / Max: 172063 Min: 84048.5 / Avg: 84104.23 / Max: 84137.2 Min: 44006.7 / Avg: 44046 / Max: 44087.9 Min: 75371.5 / Avg: 75486.4 / Max: 75638.1 Min: 50767.5 / Avg: 50965.7 / Max: 51219.3 Min: 68468.5 / Avg: 68647 / Max: 68754.8 Min: 50760.8 / Avg: 51004.7 / Max: 51142.1 Min: 138882 / Avg: 139149.33 / Max: 139384 Min: 49993.7 / Avg: 50063.97 / Max: 50109.7 Min: 160990 / Avg: 161010.67 / Max: 161045 Min: 80332.6 / Avg: 80410.37 / Max: 80559.1 Min: 62071.6 / Avg: 62532.03 / Max: 62833.8 Min: 47060.9 / Avg: 47246.07 / Max: 47372.4 Min: 46220.9 / Avg: 46464.03 / Max: 46700.8 Min: 37813.3 / Avg: 37901.1 / Max: 38027.1 Min: 47120.1 / Avg: 47163.93 / Max: 47196.2 Min: 59823.5 / Avg: 59952.77 / Max: 60088.5
Result
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Mobilenet Quant EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 40K 80K 120K 160K 200K SE +/- 5.65, N = 3 SE +/- 51.29, N = 3 SE +/- 331.41, N = 3 SE +/- 126.18, N = 3 SE +/- 105.24, N = 3 SE +/- 125.75, N = 3 SE +/- 93.48, N = 3 SE +/- 121.23, N = 3 SE +/- 125.94, N = 3 SE +/- 134.69, N = 3 SE +/- 82.35, N = 3 SE +/- 55.04, N = 3 SE +/- 28.35, N = 3 SE +/- 98.40, N = 3 SE +/- 246.17, N = 3 SE +/- 76.67, N = 3 SE +/- 139.32, N = 3 SE +/- 56.13, N = 3 SE +/- 40.64, N = 3 SE +/- 124.60, N = 3 47944.5 122845.0 163904.0 174503.0 85334.2 44940.0 76578.7 51690.4 69915.6 51794.5 141836.0 51905.1 164541.0 82153.3 63770.3 48548.3 48294.1 38559.7 47938.6 60900.5
Result Confidence
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Mobilenet Quant EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 30K 60K 90K 120K 150K Min: 47933.7 / Avg: 47944.47 / Max: 47952.8 Min: 122779 / Avg: 122845 / Max: 122946 Min: 163345 / Avg: 163904.33 / Max: 164492 Min: 174332 / Avg: 174502.67 / Max: 174749 Min: 85157.5 / Avg: 85334.2 / Max: 85521.6 Min: 44691.4 / Avg: 44939.97 / Max: 45097.4 Min: 76447.6 / Avg: 76578.73 / Max: 76759.7 Min: 51472.8 / Avg: 51690.43 / Max: 51891.8 Min: 69746.7 / Avg: 69915.63 / Max: 70161.9 Min: 51558.9 / Avg: 51794.53 / Max: 52025.4 Min: 141751 / Avg: 141836.33 / Max: 142001 Min: 51828.7 / Avg: 51905.07 / Max: 52011.9 Min: 164487 / Avg: 164541 / Max: 164583 Min: 82040.7 / Avg: 82153.33 / Max: 82349.4 Min: 63346.4 / Avg: 63770.3 / Max: 64199.1 Min: 48399.1 / Avg: 48548.33 / Max: 48653.5 Min: 48081.2 / Avg: 48294.07 / Max: 48556.2 Min: 38450.4 / Avg: 38559.7 / Max: 38636.5 Min: 47857.4 / Avg: 47938.63 / Max: 47981.5 Min: 60677.9 / Avg: 60900.53 / Max: 61108.8
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 3 6 9 12 15 SE +/- 0.04392, N = 3 SE +/- 0.10311, N = 3 SE +/- 0.01574, N = 3 SE +/- 0.05418, N = 3 SE +/- 0.07609, N = 12 SE +/- 0.00944, N = 3 SE +/- 0.03719, N = 3 SE +/- 0.02822, N = 3 SE +/- 0.01291, N = 3 SE +/- 0.03440, N = 3 SE +/- 0.03437, N = 3 SE +/- 0.00832, N = 3 SE +/- 0.17338, N = 15 SE +/- 0.05093, N = 3 SE +/- 0.04603, N = 5 SE +/- 0.02643, N = 3 SE +/- 0.04321, N = 3 SE +/- 0.00212, N = 3 SE +/- 0.02092, N = 3 SE +/- 0.00248, N = 3 3.88586 6.96020 7.92355 8.64768 5.73573 3.54460 4.24031 3.80272 4.02047 3.76741 6.98497 2.53147 10.59006 5.29105 3.73096 2.38303 2.89609 2.38156 3.69676 3.06396 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 3 6 9 12 15 Min: 3.82 / Avg: 3.89 / Max: 3.97 Min: 6.79 / Avg: 6.96 / Max: 7.14 Min: 7.9 / Avg: 7.92 / Max: 7.95 Min: 8.57 / Avg: 8.65 / Max: 8.75 Min: 5.47 / Avg: 5.74 / Max: 6.46 Min: 3.53 / Avg: 3.54 / Max: 3.56 Min: 4.18 / Avg: 4.24 / Max: 4.3 Min: 3.77 / Avg: 3.8 / Max: 3.86 Min: 4 / Avg: 4.02 / Max: 4.04 Min: 3.72 / Avg: 3.77 / Max: 3.83 Min: 6.94 / Avg: 6.98 / Max: 7.05 Min: 2.52 / Avg: 2.53 / Max: 2.55 Min: 9.83 / Avg: 10.59 / Max: 12.11 Min: 5.21 / Avg: 5.29 / Max: 5.38 Min: 3.57 / Avg: 3.73 / Max: 3.85 Min: 2.35 / Avg: 2.38 / Max: 2.44 Min: 2.83 / Avg: 2.9 / Max: 2.97 Min: 2.38 / Avg: 2.38 / Max: 2.39 Min: 3.67 / Avg: 3.7 / Max: 3.74 Min: 3.06 / Avg: 3.06 / Max: 3.07 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 140K 280K 420K 560K 700K SE +/- 167.60, N = 3 SE +/- 398.28, N = 3 SE +/- 249.03, N = 3 SE +/- 336.86, N = 3 SE +/- 860.38, N = 3 SE +/- 855.42, N = 3 SE +/- 4015.34, N = 3 SE +/- 4360.78, N = 3 SE +/- 760.44, N = 3 SE +/- 1307.57, N = 3 SE +/- 410.57, N = 3 SE +/- 538.07, N = 3 SE +/- 286.53, N = 3 SE +/- 210.97, N = 3 SE +/- 1172.74, N = 3 SE +/- 1013.03, N = 3 SE +/- 1659.83, N = 3 SE +/- 612.15, N = 3 SE +/- 1326.84, N = 3 SE +/- 1376.11, N = 3 454418 204685 142856 144134 263984 480664 356698 454581 294909 433630 161102 536335 145057 270875 398910 562236 607575 633598 452444 435226 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 110K 220K 330K 440K 550K Min: 454144.33 / Avg: 454417.73 / Max: 454722.38 Min: 204217.79 / Avg: 204684.58 / Max: 205476.96 Min: 142388.22 / Avg: 142856.38 / Max: 143237.67 Min: 143572.54 / Avg: 144133.83 / Max: 144737.19 Min: 262374.62 / Avg: 263983.97 / Max: 265316.13 Min: 478981.64 / Avg: 480664.49 / Max: 481772.8 Min: 348813.87 / Avg: 356697.84 / Max: 361963.13 Min: 445915.12 / Avg: 454581.17 / Max: 459765.01 Min: 294099.18 / Avg: 294908.85 / Max: 296428.63 Min: 431757.16 / Avg: 433629.6 / Max: 436146.86 Min: 160460.54 / Avg: 161102.44 / Max: 161866.88 Min: 535427.04 / Avg: 536334.68 / Max: 537289.19 Min: 144518.75 / Avg: 145057.16 / Max: 145496.32 Min: 270580.77 / Avg: 270875.21 / Max: 271284.17 Min: 396826.2 / Avg: 398910.04 / Max: 400884.24 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 Min: 450197.59 / Avg: 452444.24 / Max: 454790.64 Min: 432870.8 / Avg: 435226.23 / Max: 437636.85 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 3 6 9 12 15 SE +/- 0.011, N = 3 SE +/- 0.005, N = 3 SE +/- 0.008, N = 3 SE +/- 0.002, N = 3 SE +/- 0.003, N = 3 SE +/- 0.014, N = 3 SE +/- 0.010, N = 3 SE +/- 0.013, N = 3 SE +/- 0.011, N = 3 SE +/- 0.036, N = 3 SE +/- 0.005, N = 3 SE +/- 0.004, N = 3 SE +/- 0.004, N = 3 SE +/- 0.004, N = 3 SE +/- 0.008, N = 3 SE +/- 0.010, N = 3 SE +/- 0.032, N = 3 SE +/- 0.027, N = 3 SE +/- 0.007, N = 3 SE +/- 0.019, N = 3 7.828 3.422 2.343 2.256 4.482 8.374 5.991 7.549 5.089 7.641 2.578 8.884 2.124 4.589 6.826 8.690 9.237 9.418 8.031 7.099
Result Confidence
OpenBenchmarking.org M samples/s, More Is Better IndigoBench 4.0.64 Scene: Supercar EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 3 6 9 12 15 Min: 7.81 / Avg: 7.83 / Max: 7.85 Min: 3.42 / Avg: 3.42 / Max: 3.43 Min: 2.33 / Avg: 2.34 / Max: 2.36 Min: 2.25 / Avg: 2.26 / Max: 2.26 Min: 4.48 / Avg: 4.48 / Max: 4.49 Min: 8.35 / Avg: 8.37 / Max: 8.39 Min: 5.98 / Avg: 5.99 / Max: 6.01 Min: 7.53 / Avg: 7.55 / Max: 7.57 Min: 5.07 / Avg: 5.09 / Max: 5.11 Min: 7.59 / Avg: 7.64 / Max: 7.71 Min: 2.57 / Avg: 2.58 / Max: 2.59 Min: 8.88 / Avg: 8.88 / Max: 8.89 Min: 2.12 / Avg: 2.12 / Max: 2.13 Min: 4.58 / Avg: 4.59 / Max: 4.6 Min: 6.82 / Avg: 6.83 / Max: 6.84 Min: 8.67 / Avg: 8.69 / Max: 8.71 Min: 9.18 / Avg: 9.24 / Max: 9.28 Min: 9.38 / Avg: 9.42 / Max: 9.47 Min: 8.02 / Avg: 8.03 / Max: 8.04 Min: 7.08 / Avg: 7.1 / Max: 7.14
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 0.0788 0.1576 0.2364 0.3152 0.394 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 +/- 0.000, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, 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 +/- 0.001, N = 3 0.110 0.244 0.350 0.347 0.190 0.104 0.140 0.110 0.170 0.116 0.311 0.093 0.345 0.185 0.125 0.089 0.082 0.079 0.111 0.115 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 1 2 3 4 5 Min: 0.11 / Avg: 0.11 / Max: 0.11 Min: 0.24 / Avg: 0.24 / Max: 0.25 Min: 0.35 / Avg: 0.35 / Max: 0.35 Min: 0.35 / Avg: 0.35 / Max: 0.35 Min: 0.19 / Avg: 0.19 / Max: 0.19 Min: 0.1 / Avg: 0.1 / Max: 0.1 Min: 0.14 / Avg: 0.14 / Max: 0.14 Min: 0.11 / Avg: 0.11 / Max: 0.11 Min: 0.17 / Avg: 0.17 / Max: 0.17 Min: 0.12 / Avg: 0.12 / Max: 0.12 Min: 0.31 / Avg: 0.31 / Max: 0.31 Min: 0.09 / Avg: 0.09 / Max: 0.09 Min: 0.34 / Avg: 0.35 / Max: 0.35 Min: 0.18 / Avg: 0.18 / Max: 0.19 Min: 0.13 / Avg: 0.13 / Max: 0.13 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: 0.11 / Avg: 0.11 / Max: 0.11 Min: 0.11 / Avg: 0.12 / Max: 0.12 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 50K 100K 150K 200K 250K SE +/- 101.90, N = 3 SE +/- 38.16, N = 3 SE +/- 235.23, N = 3 SE +/- 136.62, N = 3 SE +/- 53.20, N = 3 SE +/- 47.46, N = 3 SE +/- 143.58, N = 3 SE +/- 39.76, N = 3 SE +/- 152.59, N = 3 SE +/- 113.63, N = 3 SE +/- 69.41, N = 3 SE +/- 80.59, N = 3 SE +/- 85.27, N = 3 SE +/- 29.76, N = 3 SE +/- 115.19, N = 3 SE +/- 79.18, N = 3 SE +/- 209.40, N = 3 SE +/- 79.43, N = 3 SE +/- 51.28, N = 3 SE +/- 199.04, N = 3 75772.2 177799.0 239371.0 253065.0 128772.0 71361.3 109217.0 82550.0 106967.0 81778.7 207979.0 70232.8 243111.0 124126.0 93759.8 66999.3 75223.6 57128.8 75779.3 89145.6
Result Confidence
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: SqueezeNet EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 40K 80K 120K 160K 200K Min: 75583.9 / Avg: 75772.17 / Max: 75933.9 Min: 177735 / Avg: 177799 / Max: 177867 Min: 239073 / Avg: 239370.67 / Max: 239835 Min: 252796 / Avg: 253065 / Max: 253241 Min: 128683 / Avg: 128772 / Max: 128867 Min: 71268.1 / Avg: 71361.3 / Max: 71423.5 Min: 108943 / Avg: 109217.33 / Max: 109428 Min: 82487 / Avg: 82549.97 / Max: 82623.5 Min: 106761 / Avg: 106967 / Max: 107265 Min: 81590.6 / Avg: 81778.7 / Max: 81983.2 Min: 207886 / Avg: 207979.33 / Max: 208115 Min: 70145.6 / Avg: 70232.8 / Max: 70393.8 Min: 242947 / Avg: 243110.67 / Max: 243234 Min: 124076 / Avg: 124126.33 / Max: 124179 Min: 93529.5 / Avg: 93759.83 / Max: 93879.1 Min: 66887.1 / Avg: 66999.33 / Max: 67152.2 Min: 74900.1 / Avg: 75223.6 / Max: 75615.7 Min: 56971.7 / Avg: 57128.77 / Max: 57227.9 Min: 75682.8 / Avg: 75779.33 / Max: 75857.6 Min: 88842 / Avg: 89145.63 / Max: 89520.4
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 4K 8K 12K 16K 20K SE +/- 28.81, N = 3 SE +/- 113.89, N = 3 SE +/- 9.64, N = 3 SE +/- 8.48, N = 3 SE +/- 6.33, N = 3 SE +/- 27.89, N = 3 SE +/- 150.74, N = 3 SE +/- 175.10, N = 3 SE +/- 53.13, N = 3 SE +/- 30.42, N = 3 SE +/- 49.91, N = 3 SE +/- 130.50, N = 3 SE +/- 36.64, N = 3 SE +/- 33.67, N = 3 SE +/- 24.57, N = 3 SE +/- 99.71, N = 3 SE +/- 20.23, N = 3 SE +/- 99.95, N = 3 SE +/- 36.22, N = 3 SE +/- 1.50, N = 3 14448.04 6799.13 4698.64 4485.46 8104.19 15411.07 11202.38 14049.76 9368.26 13412.97 5244.21 17296.84 4400.48 8429.01 12003.26 18133.98 19463.86 19039.37 14442.21 12692.91 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: Socket Activity EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 3K 6K 9K 12K 15K Min: 14397.87 / Avg: 14448.04 / Max: 14497.67 Min: 6585.28 / Avg: 6799.13 / Max: 6973.97 Min: 4682.49 / Avg: 4698.64 / Max: 4715.82 Min: 4470.63 / Avg: 4485.46 / Max: 4499.99 Min: 8091.91 / Avg: 8104.19 / Max: 8112.97 Min: 15360.66 / Avg: 15411.07 / Max: 15456.97 Min: 10906.58 / Avg: 11202.38 / Max: 11400.71 Min: 13699.8 / Avg: 14049.76 / Max: 14235.86 Min: 9270.87 / Avg: 9368.26 / Max: 9453.78 Min: 13355.04 / Avg: 13412.97 / Max: 13458.06 Min: 5145.21 / Avg: 5244.21 / Max: 5304.74 Min: 17069.15 / Avg: 17296.84 / Max: 17521.19 Min: 4356.82 / Avg: 4400.48 / Max: 4473.28 Min: 8367.15 / Avg: 8429.01 / Max: 8482.97 Min: 11955.06 / Avg: 12003.26 / Max: 12035.6 Min: 17935.45 / Avg: 18133.98 / Max: 18249.55 Min: 19434.91 / Avg: 19463.86 / Max: 19502.82 Min: 18849.83 / Avg: 19039.37 / Max: 19189.15 Min: 14373.73 / Avg: 14442.21 / Max: 14496.92 Min: 12689.93 / Avg: 12692.91 / Max: 12694.72 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 140K 280K 420K 560K 700K SE +/- 2498.86, N = 3 SE +/- 495.78, N = 3 SE +/- 365.30, N = 3 SE +/- 59.09, N = 3 SE +/- 188.91, N = 3 SE +/- 4023.11, N = 3 SE +/- 1476.34, N = 3 SE +/- 2525.65, N = 3 SE +/- 4054.87, N = 3 SE +/- 2589.99, N = 3 SE +/- 355.78, N = 3 SE +/- 1435.30, N = 3 SE +/- 149.15, N = 3 SE +/- 1102.05, N = 3 SE +/- 737.75, N = 3 SE +/- 8591.53, N = 3 SE +/- 1696.19, N = 3 SE +/- 3697.32, N = 3 SE +/- 918.89, N = 3 SE +/- 3216.95, N = 3 473689 212371 149789 150038 275173 496135 375491 479309 309222 448194 169779 561006 150981 283189 422751 584324 627200 662148 476054 461915 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 110K 220K 330K 440K 550K Min: 468862.37 / Avg: 473688.87 / Max: 477225.34 Min: 211623.16 / Avg: 212371.49 / Max: 213309.04 Min: 149174.95 / Avg: 149789.36 / Max: 150438.91 Min: 149922.88 / Avg: 150037.64 / Max: 150119.45 Min: 274874.9 / Avg: 275173.32 / Max: 275523.21 Min: 488299.95 / Avg: 496135.11 / Max: 501638.24 Min: 373949.43 / Avg: 375491.2 / Max: 378442.89 Min: 475531.25 / Avg: 479308.72 / Max: 484101.72 Min: 301122.23 / Avg: 309222.34 / Max: 313614.47 Min: 443042.26 / Avg: 448194.42 / Max: 451234.84 Min: 169162.65 / Avg: 169778.88 / Max: 170395.1 Min: 558840.46 / Avg: 561005.84 / Max: 563720.58 Min: 150724.14 / Avg: 150981.09 / Max: 151240.8 Min: 281583.18 / Avg: 283188.99 / Max: 285299.4 Min: 421326.32 / Avg: 422751.18 / Max: 423795.51 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 Min: 474618.02 / Avg: 476053.91 / Max: 477765.2 Min: 455559.41 / Avg: 461914.86 / Max: 465960.07 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 200K 400K 600K 800K 1000K SE +/- 4110.48, N = 3 SE +/- 1323.33, N = 3 SE +/- 266.25, N = 3 SE +/- 609.77, N = 3 SE +/- 3586.19, N = 3 SE +/- 3763.31, N = 3 SE +/- 1956.29, N = 3 SE +/- 5976.20, N = 3 SE +/- 5158.94, N = 4 SE +/- 1722.05, N = 3 SE +/- 760.23, N = 3 SE +/- 774.72, N = 3 SE +/- 751.04, N = 3 SE +/- 412.90, N = 3 SE +/- 634.95, N = 3 SE +/- 4606.47, N = 3 SE +/- 2327.18, N = 3 SE +/- 4185.25, N = 3 SE +/- 2812.71, N = 3 SE +/- 5262.76, N = 3 510664 257573 183458 178695 336368 537605 500818 508910 394967 481548 210214 656678 180148 345027 582296 701580 757534 785917 506342 634561 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 140K 280K 420K 560K 700K Min: 505127.29 / Avg: 510664.49 / Max: 518695.49 Min: 256160.28 / Avg: 257573.06 / Max: 260217.66 Min: 183091.48 / Avg: 183458.35 / Max: 183976.04 Min: 177644.71 / Avg: 178695.44 / Max: 179756.92 Min: 329201.77 / Avg: 336367.81 / Max: 340212.2 Min: 533339.97 / Avg: 537605.07 / Max: 545108.31 Min: 497670.11 / Avg: 500818.18 / Max: 504404.28 Min: 502276.92 / Avg: 508909.53 / Max: 520836.94 Min: 385982.64 / Avg: 394967.22 / Max: 408822.68 Min: 478206.73 / Avg: 481547.66 / Max: 483942.66 Min: 208973.57 / Avg: 210214.04 / Max: 211595.71 Min: 655132.62 / Avg: 656678.07 / Max: 657547.1 Min: 178655.05 / Avg: 180147.65 / Max: 181039.86 Min: 344295.55 / Avg: 345027.02 / Max: 345724.67 Min: 581229 / Avg: 582296.11 / Max: 583425.84 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 Min: 500795.59 / Avg: 506341.5 / Max: 509930.62 Min: 624142.08 / Avg: 634561 / Max: 641064.42 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 0.0752 0.1504 0.2256 0.3008 0.376 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, 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 +/- 0.001, N = 3 0.106 0.235 0.334 0.333 0.182 0.101 0.133 0.104 0.162 0.112 0.295 0.089 0.331 0.177 0.118 0.085 0.080 0.076 0.105 0.108 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 1 2 3 4 5 Min: 0.11 / Avg: 0.11 / Max: 0.11 Min: 0.23 / Avg: 0.24 / Max: 0.24 Min: 0.33 / Avg: 0.33 / Max: 0.34 Min: 0.33 / Avg: 0.33 / Max: 0.33 Min: 0.18 / Avg: 0.18 / Max: 0.18 Min: 0.1 / Avg: 0.1 / Max: 0.1 Min: 0.13 / Avg: 0.13 / Max: 0.13 Min: 0.1 / Avg: 0.1 / Max: 0.11 Min: 0.16 / Avg: 0.16 / Max: 0.17 Min: 0.11 / Avg: 0.11 / Max: 0.11 Min: 0.29 / Avg: 0.29 / Max: 0.3 Min: 0.09 / Avg: 0.09 / Max: 0.09 Min: 0.33 / Avg: 0.33 / Max: 0.33 Min: 0.18 / Avg: 0.18 / Max: 0.18 Min: 0.12 / Avg: 0.12 / Max: 0.12 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 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
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 2 4 6 8 10 SE +/- 0.03266, N = 3 SE +/- 0.03491, N = 3 SE +/- 0.00819, N = 3 SE +/- 0.04427, N = 3 SE +/- 0.04343, N = 3 SE +/- 0.00481, N = 3 SE +/- 0.03746, N = 3 SE +/- 0.00908, N = 3 SE +/- 0.01584, N = 3 SE +/- 0.01735, N = 3 SE +/- 0.04864, N = 8 SE +/- 0.03050, N = 3 SE +/- 0.04339, N = 3 SE +/- 0.02456, N = 3 SE +/- 0.04479, N = 3 SE +/- 0.00537, N = 3 SE +/- 0.03138, N = 3 SE +/- 0.02396, N = 15 SE +/- 0.00219, N = 3 SE +/- 0.01454, N = 3 2.86349 6.24150 4.93430 6.63195 6.11090 3.22663 3.30438 1.95077 2.16598 3.16025 4.60199 2.14490 6.55394 2.96405 2.96037 1.51546 2.71121 2.26438 2.82606 2.04409 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 3 6 9 12 15 Min: 2.8 / Avg: 2.86 / Max: 2.91 Min: 6.17 / Avg: 6.24 / Max: 6.28 Min: 4.92 / Avg: 4.93 / Max: 4.95 Min: 6.57 / Avg: 6.63 / Max: 6.72 Min: 6.02 / Avg: 6.11 / Max: 6.16 Min: 3.22 / Avg: 3.23 / Max: 3.23 Min: 3.26 / Avg: 3.3 / Max: 3.38 Min: 1.94 / Avg: 1.95 / Max: 1.97 Min: 2.14 / Avg: 2.17 / Max: 2.2 Min: 3.13 / Avg: 3.16 / Max: 3.18 Min: 4.49 / Avg: 4.6 / Max: 4.92 Min: 2.09 / Avg: 2.14 / Max: 2.19 Min: 6.47 / Avg: 6.55 / Max: 6.61 Min: 2.94 / Avg: 2.96 / Max: 3.01 Min: 2.89 / Avg: 2.96 / Max: 3.04 Min: 1.51 / Avg: 1.52 / Max: 1.53 Min: 2.65 / Avg: 2.71 / Max: 2.75 Min: 2.1 / Avg: 2.26 / Max: 2.37 Min: 2.82 / Avg: 2.83 / Max: 2.83 Min: 2.02 / Avg: 2.04 / Max: 2.06 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 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 +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 4 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 0.098 0.194 0.273 0.280 0.149 0.093 0.100 0.098 0.127 0.104 0.238 0.076 0.278 0.145 0.086 0.071 0.066 0.064 0.099 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: 1 - Clients: 50 - Mode: Read Only - Average Latency EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 1 2 3 4 5 Min: 0.1 / Avg: 0.1 / Max: 0.1 Min: 0.19 / Avg: 0.19 / Max: 0.2 Min: 0.27 / Avg: 0.27 / Max: 0.27 Min: 0.28 / Avg: 0.28 / Max: 0.28 Min: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.09 / Avg: 0.09 / Max: 0.09 Min: 0.1 / Avg: 0.1 / Max: 0.1 Min: 0.1 / Avg: 0.1 / Max: 0.1 Min: 0.12 / Avg: 0.13 / Max: 0.13 Min: 0.1 / Avg: 0.1 / Max: 0.11 Min: 0.24 / Avg: 0.24 / Max: 0.24 Min: 0.08 / Avg: 0.08 / Max: 0.08 Min: 0.28 / Avg: 0.28 / Max: 0.28 Min: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.09 / Avg: 0.09 / Max: 0.09 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 Min: 0.1 / Avg: 0.1 / Max: 0.1 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
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 7 14 21 28 35 SE +/- 0.02817, N = 3 SE +/- 0.04039, N = 3 SE +/- 0.01830, N = 3 SE +/- 0.09439, N = 3 SE +/- 0.08758, N = 3 SE +/- 0.01406, N = 3 SE +/- 0.05632, N = 3 SE +/- 0.01212, N = 3 SE +/- 0.04779, N = 3 SE +/- 0.04417, N = 3 SE +/- 0.03995, N = 3 SE +/- 0.02805, N = 3 SE +/- 0.10006, N = 3 SE +/- 0.05246, N = 3 SE +/- 0.01654, N = 3 SE +/- 0.03439, N = 3 SE +/- 0.01530, N = 3 SE +/- 0.04381, N = 3 SE +/- 0.02559, N = 3 SE +/- 0.01623, N = 3 9.74450 20.34490 28.66640 30.85730 16.48410 9.15479 13.04390 10.06000 13.05300 10.53010 25.10930 8.12129 30.83500 15.38170 11.35090 8.01491 7.06818 7.05688 9.69987 10.31610 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 7 14 21 28 35 Min: 9.69 / Avg: 9.74 / Max: 9.79 Min: 20.27 / Avg: 20.34 / Max: 20.41 Min: 28.63 / Avg: 28.67 / Max: 28.7 Min: 30.69 / Avg: 30.86 / Max: 31.02 Min: 16.35 / Avg: 16.48 / Max: 16.65 Min: 9.13 / Avg: 9.15 / Max: 9.17 Min: 12.95 / Avg: 13.04 / Max: 13.14 Min: 10.05 / Avg: 10.06 / Max: 10.08 Min: 12.98 / Avg: 13.05 / Max: 13.14 Min: 10.44 / Avg: 10.53 / Max: 10.58 Min: 25.04 / Avg: 25.11 / Max: 25.18 Min: 8.09 / Avg: 8.12 / Max: 8.18 Min: 30.64 / Avg: 30.84 / Max: 30.97 Min: 15.31 / Avg: 15.38 / Max: 15.48 Min: 11.33 / Avg: 11.35 / Max: 11.38 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 Min: 9.66 / Avg: 9.7 / Max: 9.75 Min: 10.3 / Avg: 10.32 / Max: 10.35 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 600K 1200K 1800K 2400K 3000K SE +/- 2330.00, N = 3 SE +/- 4551.15, N = 3 SE +/- 6265.32, N = 3 SE +/- 2452.18, N = 3 SE +/- 6805.34, N = 3 SE +/- 22468.40, N = 3 SE +/- 10570.43, N = 3 SE +/- 17880.35, N = 3 SE +/- 6477.91, N = 3 SE +/- 15859.94, N = 15 SE +/- 5978.53, N = 3 SE +/- 25647.54, N = 15 SE +/- 7205.27, N = 5 SE +/- 11715.02, N = 3 SE +/- 18509.29, N = 3 SE +/- 39699.95, N = 3 SE +/- 21024.79, N = 13 SE +/- 39160.90, N = 3 SE +/- 16618.43, N = 3 SE +/- 16169.26, N = 11 1897261 868519 644878 631618 986225 2071664 1482377 1948887 1470326 1656161 762256 2328453 610628 1193703 1686640 2657818 2571578 2591791 1839236 1822559 1. (CC) gcc options: -pthread -lpthread -O3 -march=native
Result Confidence
OpenBenchmarking.org Records/s, More Is Better ebizzy 0.3 EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 500K 1000K 1500K 2000K 2500K Min: 1892618 / Avg: 1897261.33 / Max: 1899924 Min: 859551 / Avg: 868519.33 / Max: 874351 Min: 632353 / Avg: 644877.67 / Max: 651475 Min: 626851 / Avg: 631618.33 / Max: 634999 Min: 976561 / Avg: 986224.67 / Max: 999357 Min: 2041862 / Avg: 2071664.33 / Max: 2115692 Min: 1461250 / Avg: 1482377.33 / Max: 1493596 Min: 1923349 / Avg: 1948887 / Max: 1983335 Min: 1458373 / Avg: 1470325.67 / Max: 1480631 Min: 1522253 / Avg: 1656161.2 / Max: 1737769 Min: 753807 / Avg: 762256.33 / Max: 773808 Min: 2175791 / Avg: 2328453 / Max: 2490030 Min: 592286 / Avg: 610627.6 / Max: 636440 Min: 1172032 / Avg: 1193703.33 / Max: 1212252 Min: 1652517 / Avg: 1686640.33 / Max: 1716131 Min: 2583950 / Avg: 2657818 / Max: 2719969 Min: 2423539 / Avg: 2571578.46 / Max: 2689288 Min: 2516831 / Avg: 2591791 / Max: 2648930 Min: 1806283 / Avg: 1839235.67 / Max: 1859468 Min: 1719018 / Avg: 1822558.64 / Max: 1893316 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 700K 1400K 2100K 2800K 3500K SE +/- 303.13, N = 3 SE +/- 519.05, N = 3 SE +/- 1631.66, N = 3 SE +/- 2626.99, N = 3 SE +/- 624.08, N = 3 SE +/- 1189.21, N = 3 SE +/- 961.47, N = 3 SE +/- 309.31, N = 3 SE +/- 1498.01, N = 3 SE +/- 447.85, N = 3 SE +/- 1334.67, N = 3 SE +/- 2633.01, N = 3 SE +/- 1495.89, N = 3 SE +/- 380.19, N = 3 SE +/- 2523.85, N = 3 SE +/- 1127.21, N = 3 SE +/- 3448.59, N = 3 SE +/- 10740.36, N = 3 SE +/- 654.96, N = 3 SE +/- 457.38, N = 3 907005 2276043 3131150 3312693 1635677 850424 1457950 973193 1346997 979887 2717393 892001 3147143 1572953 1242963 851940 939492 768962 906002 1171270
Result Confidence
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Inception ResNet V2 EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 600K 1200K 1800K 2400K 3000K Min: 906549 / Avg: 907005 / Max: 907579 Min: 2275080 / Avg: 2276043.33 / Max: 2276860 Min: 3128620 / Avg: 3131150 / Max: 3134200 Min: 3309830 / Avg: 3312693.33 / Max: 3317940 Min: 1634960 / Avg: 1635676.67 / Max: 1636920 Min: 848503 / Avg: 850424 / Max: 852599 Min: 1456070 / Avg: 1457950 / Max: 1459240 Min: 972776 / Avg: 973192.67 / Max: 973797 Min: 1344170 / Avg: 1346996.67 / Max: 1349270 Min: 979151 / Avg: 979886.67 / Max: 980697 Min: 2714830 / Avg: 2717393.33 / Max: 2719320 Min: 889315 / Avg: 892001.33 / Max: 897267 Min: 3144340 / Avg: 3147143.33 / Max: 3149450 Min: 1572510 / Avg: 1572953.33 / Max: 1573710 Min: 1238220 / Avg: 1242963.33 / Max: 1246830 Min: 850031 / Avg: 851939.67 / Max: 853933 Min: 932634 / Avg: 939491.67 / Max: 943559 Min: 748326 / Avg: 768961.67 / Max: 784446 Min: 905180 / Avg: 906001.67 / Max: 907296 Min: 1170570 / Avg: 1171270 / Max: 1172130
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 10 20 30 40 50 SE +/- 0.06, N = 3 SE +/- 0.18, N = 3 SE +/- 0.53, N = 3 SE +/- 0.08, N = 3 SE +/- 0.23, N = 9 SE +/- 0.13, N = 3 SE +/- 0.08, N = 3 SE +/- 0.08, N = 3 SE +/- 0.01, N = 3 SE +/- 0.26, N = 3 SE +/- 0.18, N = 3 SE +/- 0.16, N = 3 SE +/- 0.13, N = 3 SE +/- 0.04, N = 3 SE +/- 0.11, N = 3 SE +/- 0.04, N = 3 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 13.63 31.18 40.63 44.90 24.06 13.30 19.10 13.44 18.38 15.53 37.26 11.68 44.18 21.73 16.39 10.49 12.20 11.27 13.00 13.27 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 9 18 27 36 45 Min: 13.55 / Avg: 13.63 / Max: 13.74 Min: 30.87 / Avg: 31.18 / Max: 31.49 Min: 39.58 / Avg: 40.63 / Max: 41.24 Min: 44.78 / Avg: 44.9 / Max: 45.05 Min: 23.34 / Avg: 24.06 / Max: 25.71 Min: 13.11 / Avg: 13.3 / Max: 13.55 Min: 19.01 / Avg: 19.1 / Max: 19.25 Min: 13.3 / Avg: 13.44 / Max: 13.57 Min: 18.37 / Avg: 18.38 / Max: 18.39 Min: 15.06 / Avg: 15.53 / Max: 15.94 Min: 37.07 / Avg: 37.26 / Max: 37.62 Min: 11.37 / Avg: 11.68 / Max: 11.86 Min: 44.03 / Avg: 44.18 / Max: 44.44 Min: 21.66 / Avg: 21.73 / Max: 21.78 Min: 16.18 / Avg: 16.39 / Max: 16.58 Min: 10.41 / Avg: 10.49 / Max: 10.54 Min: 12.02 / Avg: 12.2 / Max: 12.33 Min: 11.23 / Avg: 11.27 / Max: 11.32 Min: 12.92 / Avg: 13 / Max: 13.06 Min: 13.22 / Avg: 13.27 / Max: 13.33 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 400 800 1200 1600 2000 SE +/- 2.08, N = 3 SE +/- 0.67, N = 3 SE +/- 0.33, N = 3 SE +/- 0.33, N = 3 SE +/- 1.53, N = 3 SE +/- 1.20, N = 3 SE +/- 2.08, N = 3 SE +/- 1.00, N = 3 SE +/- 1.33, N = 3 SE +/- 0.58, N = 3 SE +/- 1.00, N = 3 SE +/- 1.20, N = 3 SE +/- 2.65, N = 3 SE +/- 1.76, N = 3 SE +/- 2.03, N = 3 SE +/- 1.86, N = 3 SE +/- 4.58, N = 3 1195 577 431 406 724 1246 909 1165 898 1127 480 1442 391 796 1024 1525 1622 1666 1268 1129 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 300 600 900 1200 1500 Min: 1191 / Avg: 1195 / Max: 1198 Min: 405 / Avg: 405.67 / Max: 407 Min: 723 / Avg: 723.67 / Max: 724 Min: 1246 / Avg: 1246.33 / Max: 1247 Min: 906 / Avg: 909 / Max: 911 Min: 1163 / Avg: 1164.67 / Max: 1167 Min: 894 / Avg: 898 / Max: 901 Min: 478 / Avg: 480 / Max: 481 Min: 1441 / Avg: 1442.33 / Max: 1445 Min: 390 / Avg: 391 / Max: 392 Min: 794 / Avg: 796 / Max: 797 Min: 1022 / Avg: 1024.33 / Max: 1026 Min: 1520 / Avg: 1525 / Max: 1529 Min: 1619 / Avg: 1621.67 / Max: 1625 Min: 1662 / Avg: 1665.67 / Max: 1669 Min: 1264 / Avg: 1267.67 / Max: 1270 Min: 1123 / Avg: 1129 / Max: 1138 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 60 120 180 240 300 95.20 209.48 287.34 287.40 165.05 87.90 128.78 97.10 131.51 99.78 235.47 75.77 295.86 160.86 113.46 76.22 71.67 71.65 92.64 100.63
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 2 4 6 8 10 SE +/- 0.00959, N = 3 SE +/- 0.06965, N = 3 SE +/- 0.01003, N = 3 SE +/- 0.03858, N = 3 SE +/- 0.02067, N = 3 SE +/- 0.02667, N = 4 SE +/- 0.06679, N = 15 SE +/- 0.02569, N = 3 SE +/- 0.00914, N = 3 SE +/- 0.00870, N = 3 SE +/- 0.22388, N = 15 SE +/- 0.02668, N = 4 SE +/- 0.05423, N = 3 SE +/- 0.04327, N = 3 SE +/- 0.04434, N = 15 SE +/- 0.02366, N = 15 SE +/- 0.01714, N = 3 SE +/- 0.02420, N = 3 SE +/- 0.01261, N = 3 SE +/- 0.00245, N = 3 2.01176 4.77168 5.13825 5.87119 3.14991 1.89386 2.99977 2.25891 2.43553 2.10673 4.81372 2.02785 7.79600 2.97425 2.47190 1.92590 2.55843 1.95935 1.96299 1.99454 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 3 6 9 12 15 Min: 1.99 / Avg: 2.01 / Max: 2.03 Min: 4.67 / Avg: 4.77 / Max: 4.9 Min: 5.12 / Avg: 5.14 / Max: 5.16 Min: 5.82 / Avg: 5.87 / Max: 5.95 Min: 3.11 / Avg: 3.15 / Max: 3.18 Min: 1.85 / Avg: 1.89 / Max: 1.96 Min: 2.71 / Avg: 3 / Max: 3.68 Min: 2.22 / Avg: 2.26 / Max: 2.31 Min: 2.42 / Avg: 2.44 / Max: 2.45 Min: 2.09 / Avg: 2.11 / Max: 2.12 Min: 4.51 / Avg: 4.81 / Max: 7.94 Min: 1.97 / Avg: 2.03 / Max: 2.09 Min: 7.71 / Avg: 7.8 / Max: 7.9 Min: 2.89 / Avg: 2.97 / Max: 3.04 Min: 2.23 / Avg: 2.47 / Max: 2.82 Min: 1.79 / Avg: 1.93 / Max: 2.13 Min: 2.53 / Avg: 2.56 / Max: 2.58 Min: 1.91 / Avg: 1.96 / Max: 1.99 Min: 1.95 / Avg: 1.96 / Max: 1.99 Min: 1.99 / Avg: 1.99 / Max: 2 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 800K 1600K 2400K 3200K 4000K SE +/- 641.33, N = 3 SE +/- 565.25, N = 3 SE +/- 1815.08, N = 3 SE +/- 1653.42, N = 3 SE +/- 927.26, N = 3 SE +/- 1095.28, N = 3 SE +/- 1422.61, N = 3 SE +/- 1597.95, N = 3 SE +/- 1977.94, N = 3 SE +/- 506.19, N = 3 SE +/- 1214.14, N = 3 SE +/- 1492.34, N = 3 SE +/- 180.03, N = 3 SE +/- 430.56, N = 3 SE +/- 3534.54, N = 3 SE +/- 796.92, N = 3 SE +/- 2152.71, N = 3 SE +/- 10849.29, N = 3 SE +/- 265.85, N = 3 SE +/- 2472.71, N = 3 1018660 2541097 3449200 3658017 1818303 956334 1651693 1096420 1500570 1098850 2991340 1032227 3482543 1751103 1434267 974709 1034893 901115 1017473 1331757
Result Confidence
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Inception V4 EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 600K 1200K 1800K 2400K 3000K Min: 1017430 / Avg: 1018660 / Max: 1019590 Min: 2539990 / Avg: 2541096.67 / Max: 2541850 Min: 3446240 / Avg: 3449200 / Max: 3452500 Min: 3655440 / Avg: 3658016.67 / Max: 3661100 Min: 1816530 / Avg: 1818303.33 / Max: 1819660 Min: 954214 / Avg: 956334.33 / Max: 957871 Min: 1648870 / Avg: 1651693.33 / Max: 1653410 Min: 1093440 / Avg: 1096420 / Max: 1098910 Min: 1496910 / Avg: 1500570 / Max: 1503700 Min: 1098140 / Avg: 1098850 / Max: 1099830 Min: 2989820 / Avg: 2991340 / Max: 2993740 Min: 1029410 / Avg: 1032226.67 / Max: 1034490 Min: 3482190 / Avg: 3482543.33 / Max: 3482780 Min: 1750250 / Avg: 1751103.33 / Max: 1751630 Min: 1428600 / Avg: 1434266.67 / Max: 1440760 Min: 973240 / Avg: 974709 / Max: 975979 Min: 1030910 / Avg: 1034893.33 / Max: 1038300 Min: 883545 / Avg: 901115.33 / Max: 920927 Min: 1016960 / Avg: 1017473.33 / Max: 1017850 Min: 1328690 / Avg: 1331756.67 / Max: 1336650
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 300K 600K 900K 1200K 1500K SE +/- 1516.40, N = 3 SE +/- 946.65, N = 3 SE +/- 326.66, N = 3 SE +/- 236.56, N = 3 SE +/- 430.91, N = 3 SE +/- 5237.13, N = 3 SE +/- 1079.01, N = 3 SE +/- 10861.25, N = 3 SE +/- 518.02, N = 3 SE +/- 5097.39, N = 3 SE +/- 254.64, N = 3 SE +/- 1097.23, N = 3 SE +/- 309.16, N = 3 SE +/- 3058.86, N = 3 SE +/- 4296.32, N = 3 SE +/- 913.29, N = 3 SE +/- 2361.14, N = 3 SE +/- 315.40, N = 3 SE +/- 3413.67, N = 3 SE +/- 5088.42, N = 3 943555.64 439772.58 312587.17 295421.35 582430.67 952974.53 798236.46 908073.32 709203.15 881494.06 359429.77 1171853.21 298347.30 609406.36 890248.99 1188218.25 1146666.31 1177095.85 934407.24 989555.86 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 200K 400K 600K 800K 1000K Min: 941038.08 / Avg: 943555.64 / Max: 946278.96 Min: 438746.83 / Avg: 439772.58 / Max: 441663.6 Min: 312184.97 / Avg: 312587.17 / Max: 313234.14 Min: 295184.8 / Avg: 295421.35 / Max: 295894.46 Min: 581641.93 / Avg: 582430.67 / Max: 583125.8 Min: 942516.32 / Avg: 952974.53 / Max: 958705.75 Min: 796085.91 / Avg: 798236.46 / Max: 799467.02 Min: 892857.14 / Avg: 908073.32 / Max: 929107.19 Min: 708199.62 / Avg: 709203.15 / Max: 709927.9 Min: 871341.05 / Avg: 881494.06 / Max: 887368.86 Min: 359120.16 / Avg: 359429.77 / Max: 359934.76 Min: 1169875.7 / Avg: 1171853.21 / Max: 1173665.87 Min: 297808.32 / Avg: 298347.3 / Max: 298879.2 Min: 603299.29 / Avg: 609406.36 / Max: 612772.48 Min: 885649.71 / Avg: 890248.99 / Max: 898834.32 Min: 1186870.25 / Avg: 1188218.25 / Max: 1189959.71 Min: 1142381.15 / Avg: 1146666.31 / Max: 1150527.33 Min: 1176470.59 / Avg: 1177095.85 / Max: 1177480.68 Min: 929332.04 / Avg: 934407.24 / Max: 940899.74 Min: 982197.67 / Avg: 989555.86 / Max: 999323.37 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 40 80 120 160 200 SE +/- 1.24, N = 3 SE +/- 0.14, N = 3 SE +/- 0.04, N = 3 SE +/- 0.16, N = 3 SE +/- 0.21, N = 3 SE +/- 0.63, N = 3 SE +/- 0.49, N = 3 SE +/- 0.98, N = 3 SE +/- 0.17, N = 3 SE +/- 0.69, N = 3 SE +/- 0.03, N = 3 SE +/- 0.93, N = 3 SE +/- 0.19, N = 3 SE +/- 0.23, N = 3 SE +/- 0.91, N = 3 SE +/- 1.41, N = 3 SE +/- 0.98, N = 3 SE +/- 0.30, N = 3 SE +/- 0.47, N = 3 SE +/- 0.13, N = 3 132.93 60.67 41.90 41.74 77.11 141.01 98.40 123.86 86.52 122.18 47.91 161.14 42.34 80.26 113.54 159.13 161.96 166.89 131.25 122.40 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 30 60 90 120 150 Min: 130.61 / Avg: 132.93 / Max: 134.86 Min: 60.39 / Avg: 60.67 / Max: 60.84 Min: 41.84 / Avg: 41.9 / Max: 41.97 Min: 41.42 / Avg: 41.74 / Max: 41.96 Min: 76.7 / Avg: 77.11 / Max: 77.39 Min: 139.76 / Avg: 141.01 / Max: 141.74 Min: 97.42 / Avg: 98.4 / Max: 98.98 Min: 121.9 / Avg: 123.86 / Max: 124.95 Min: 86.33 / Avg: 86.52 / Max: 86.86 Min: 120.87 / Avg: 122.18 / Max: 123.2 Min: 47.87 / Avg: 47.91 / Max: 47.98 Min: 159.28 / Avg: 161.14 / Max: 162.21 Min: 41.96 / Avg: 42.34 / Max: 42.54 Min: 80.02 / Avg: 80.26 / Max: 80.71 Min: 111.79 / Avg: 113.54 / Max: 114.83 Min: 157.52 / Avg: 159.13 / Max: 161.94 Min: 160.26 / Avg: 161.96 / Max: 163.67 Min: 166.3 / Avg: 166.89 / Max: 167.32 Min: 130.35 / Avg: 131.25 / Max: 131.96 Min: 122.15 / Avg: 122.4 / Max: 122.57 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 20 40 60 80 100 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, 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 +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 25.52 52.85 70.90 75.37 41.84 24.19 33.35 26.23 34.08 27.05 61.75 21.01 74.10 40.27 29.46 20.91 19.16 18.90 25.52 27.34 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 14 28 42 56 70 Min: 25.5 / Avg: 25.52 / Max: 25.53 Min: 52.82 / Avg: 52.84 / Max: 52.88 Min: 70.86 / Avg: 70.9 / Max: 70.95 Min: 75.26 / Avg: 75.37 / Max: 75.42 Min: 41.79 / Avg: 41.84 / Max: 41.9 Min: 24.15 / Avg: 24.18 / Max: 24.21 Min: 33.33 / Avg: 33.35 / Max: 33.36 Min: 26.21 / Avg: 26.23 / Max: 26.24 Min: 34.06 / Avg: 34.08 / Max: 34.11 Min: 27.03 / Avg: 27.05 / Max: 27.08 Min: 61.72 / Avg: 61.75 / Max: 61.78 Min: 20.99 / Avg: 21.01 / Max: 21.02 Min: 74.06 / Avg: 74.1 / Max: 74.14 Min: 40.24 / Avg: 40.27 / Max: 40.32 Min: 29.42 / Avg: 29.46 / Max: 29.5 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 Min: 25.5 / Avg: 25.51 / Max: 25.53 Min: 27.3 / Avg: 27.34 / Max: 27.37 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 30K 60K 90K 120K 150K SE +/- 320.50, N = 3 SE +/- 802.19, N = 3 SE +/- 67.38, N = 3 SE +/- 337.56, N = 3 SE +/- 120.56, N = 3 SE +/- 293.15, N = 3 SE +/- 473.52, N = 3 SE +/- 554.28, N = 3 SE +/- 155.57, N = 3 SE +/- 1254.13, N = 3 SE +/- 68.82, N = 3 SE +/- 252.72, N = 3 SE +/- 219.73, N = 3 SE +/- 106.02, N = 3 SE +/- 334.89, N = 3 SE +/- 1908.61, N = 3 SE +/- 2123.40, N = 3 SE +/- 1672.04, N = 8 SE +/- 1104.18, N = 12 SE +/- 242.78, N = 3 134830.00 58471.22 47744.98 41087.46 76405.27 143497.18 91394.81 135022.21 98750.37 124083.95 52650.75 138431.07 44076.81 84934.71 109971.98 150648.47 134685.96 160887.39 133908.92 121525.13 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 30K 60K 90K 120K 150K Min: 134233.96 / Avg: 134830 / Max: 135332.24 Min: 57538.62 / Avg: 58471.22 / Max: 60068.11 Min: 47673.86 / Avg: 47744.98 / Max: 47879.67 Min: 40596.75 / Avg: 41087.46 / Max: 41734.37 Min: 76247.66 / Avg: 76405.27 / Max: 76642.11 Min: 142929.16 / Avg: 143497.18 / Max: 143906.96 Min: 90617.8 / Avg: 91394.81 / Max: 92252.2 Min: 134245.38 / Avg: 135022.21 / Max: 136095.53 Min: 98547.12 / Avg: 98750.37 / Max: 99056.01 Min: 121594.51 / Avg: 124083.95 / Max: 125594.29 Min: 52530.46 / Avg: 52650.75 / Max: 52768.82 Min: 137948.8 / Avg: 138431.07 / Max: 138803.22 Min: 43682.07 / Avg: 44076.81 / Max: 44441.44 Min: 84763.98 / Avg: 84934.71 / Max: 85128.98 Min: 109341.81 / Avg: 109971.98 / Max: 110483.57 Min: 148564.98 / Avg: 150648.47 / Max: 154460.18 Min: 130680.76 / Avg: 134685.96 / Max: 137911.4 Min: 158223.44 / Avg: 160887.39 / Max: 172237.35 Min: 121806.39 / Avg: 133908.92 / Max: 135449.55 Min: 121274.35 / Avg: 121525.13 / Max: 122010.6 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 20 40 60 80 100 SE +/- 0.28, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.46, N = 3 SE +/- 0.24, N = 3 SE +/- 0.32, N = 3 SE +/- 0.13, N = 3 SE +/- 0.13, N = 3 SE +/- 0.01, N = 3 SE +/- 0.32, N = 3 SE +/- 0.04, N = 3 SE +/- 0.09, N = 3 SE +/- 0.13, N = 3 SE +/- 0.32, N = 3 SE +/- 0.14, N = 3 SE +/- 0.11, N = 3 SE +/- 0.17, N = 3 SE +/- 0.21, N = 3 55.73 28.88 20.75 20.36 34.09 58.06 46.47 53.42 38.88 53.27 23.50 59.03 20.58 34.97 52.55 60.07 75.49 79.52 56.00 57.37 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 15 30 45 60 75 Min: 55.4 / Avg: 55.73 / Max: 56.29 Min: 28.86 / Avg: 28.88 / Max: 28.9 Min: 20.72 / Avg: 20.75 / Max: 20.78 Min: 20.33 / Avg: 20.36 / Max: 20.38 Min: 33.99 / Avg: 34.09 / Max: 34.19 Min: 57.42 / Avg: 58.06 / Max: 58.94 Min: 46.14 / Avg: 46.47 / Max: 46.94 Min: 52.81 / Avg: 53.42 / Max: 53.91 Min: 38.63 / Avg: 38.88 / Max: 39.04 Min: 53.02 / Avg: 53.27 / Max: 53.46 Min: 23.49 / Avg: 23.5 / Max: 23.53 Min: 58.58 / Avg: 59.03 / Max: 59.65 Min: 20.51 / Avg: 20.58 / Max: 20.64 Min: 34.78 / Avg: 34.97 / Max: 35.1 Min: 52.41 / Avg: 52.55 / Max: 52.81 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 Min: 55.76 / Avg: 56 / Max: 56.32 Min: 56.98 / Avg: 57.37 / Max: 57.71 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 30 60 90 120 150 SE +/- 0.19, N = 3 SE +/- 0.36, N = 3 SE +/- 0.12, N = 3 SE +/- 0.32, N = 3 SE +/- 0.15, N = 3 SE +/- 0.35, N = 3 SE +/- 0.44, N = 3 SE +/- 0.54, N = 3 SE +/- 0.23, N = 3 SE +/- 0.15, N = 3 SE +/- 0.13, N = 3 SE +/- 0.61, N = 3 SE +/- 0.12, N = 3 SE +/- 0.07, N = 3 SE +/- 0.17, N = 3 SE +/- 0.77, N = 3 SE +/- 1.18, N = 3 SE +/- 0.61, N = 3 SE +/- 0.20, N = 3 SE +/- 0.09, N = 3 109.7 52.5 43.4 38.3 64.5 109.1 89.7 116.8 80.9 108.9 43.5 122.1 36.0 71.3 92.9 125.0 126.6 139.2 110.5 101.1 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 30 60 90 120 150 Min: 109.5 / Avg: 109.73 / Max: 110.1 Min: 51.8 / Avg: 52.5 / Max: 53 Min: 43.2 / Avg: 43.43 / Max: 43.6 Min: 37.7 / Avg: 38.33 / Max: 38.7 Min: 64.3 / Avg: 64.53 / Max: 64.8 Min: 108.6 / Avg: 109.13 / Max: 109.8 Min: 88.8 / Avg: 89.67 / Max: 90.2 Min: 115.8 / Avg: 116.83 / Max: 117.6 Min: 80.5 / Avg: 80.9 / Max: 81.3 Min: 108.7 / Avg: 108.93 / Max: 109.2 Min: 43.4 / Avg: 43.53 / Max: 43.8 Min: 121 / Avg: 122.13 / Max: 123.1 Min: 35.8 / Avg: 36 / Max: 36.2 Min: 71.2 / Avg: 71.33 / Max: 71.4 Min: 92.7 / Avg: 92.87 / Max: 93.2 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 Min: 110.3 / Avg: 110.5 / Max: 110.9 Min: 100.9 / Avg: 101.07 / Max: 101.2 1. (CC) gcc options: -O3 -pthread -lz -llzma
LAMMPS Molecular Dynamics Simulator LAMMPS is a classical molecular dynamics code, and an acronym for Large-scale Atomic/Molecular Massively Parallel Simulator. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ns/day, More Is Better LAMMPS Molecular Dynamics Simulator 29Oct2020 Model: 20k Atoms EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 4 8 12 16 20 SE +/- 0.045, N = 3 SE +/- 0.110, N = 4 SE +/- 0.052, N = 3 SE +/- 0.056, N = 3 SE +/- 0.174, N = 3 SE +/- 0.038, N = 3 SE +/- 0.025, N = 3 SE +/- 0.016, N = 3 SE +/- 0.013, N = 3 SE +/- 0.033, N = 3 17.341 7.481 4.867 5.031 9.123 18.028 13.129 17.276 9.287 16.237 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 5 10 15 20 25 Min: 17.26 / Avg: 17.34 / Max: 17.42 Min: 7.16 / Avg: 7.48 / Max: 7.65 Min: 4.77 / Avg: 4.87 / Max: 4.94 Min: 4.96 / Avg: 5.03 / Max: 5.14 Min: 8.78 / Avg: 9.12 / Max: 9.34 Min: 17.96 / Avg: 18.03 / Max: 18.09 Min: 13.09 / Avg: 13.13 / Max: 13.18 Min: 17.25 / Avg: 17.28 / Max: 17.31 Min: 9.26 / Avg: 9.29 / Max: 9.3 Min: 16.19 / Avg: 16.24 / Max: 16.3 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 60 120 180 240 300 SE +/- 2.25, N = 3 SE +/- 0.27, N = 3 SE +/- 0.21, N = 3 SE +/- 0.21, N = 3 SE +/- 0.83, N = 3 SE +/- 3.97, N = 3 SE +/- 0.95, N = 3 SE +/- 3.11, N = 3 SE +/- 0.73, N = 3 SE +/- 3.58, N = 4 SE +/- 0.48, N = 3 SE +/- 1.81, N = 3 SE +/- 0.37, N = 3 SE +/- 1.23, N = 3 SE +/- 0.78, N = 3 SE +/- 2.83, N = 3 SE +/- 2.06, N = 3 SE +/- 1.02, N = 3 SE +/- 1.54, N = 3 SE +/- 1.86, N = 3 286.20 159.41 80.77 85.67 201.17 297.18 241.17 266.03 202.89 275.88 95.61 286.10 87.66 196.52 260.38 288.70 278.50 282.53 285.23 291.00 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 50 100 150 200 250 Min: 281.95 / Avg: 286.2 / Max: 289.58 Min: 158.86 / Avg: 159.41 / Max: 159.7 Min: 80.44 / Avg: 80.77 / Max: 81.16 Min: 85.3 / Avg: 85.67 / Max: 86.01 Min: 199.53 / Avg: 201.17 / Max: 202.16 Min: 291.26 / Avg: 297.18 / Max: 304.72 Min: 239.52 / Avg: 241.17 / Max: 242.82 Min: 262.47 / Avg: 266.03 / Max: 272.23 Min: 201.82 / Avg: 202.89 / Max: 204.29 Min: 267.74 / Avg: 275.88 / Max: 285.17 Min: 95 / Avg: 95.61 / Max: 96.56 Min: 282.89 / Avg: 286.1 / Max: 289.16 Min: 87.18 / Avg: 87.66 / Max: 88.39 Min: 194.11 / Avg: 196.52 / Max: 198.15 Min: 259.29 / Avg: 260.38 / Max: 261.89 Min: 283.42 / Avg: 288.7 / Max: 293.11 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: 287.49 / Avg: 291 / Max: 293.83 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 CFD Solver EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 7 14 21 28 35 SE +/- 0.009, N = 3 SE +/- 0.124, N = 3 SE +/- 0.102, N = 3 SE +/- 0.088, N = 3 SE +/- 0.047, N = 3 SE +/- 0.020, N = 3 SE +/- 0.112, N = 3 SE +/- 0.135, N = 3 SE +/- 0.011, N = 3 SE +/- 0.025, N = 3 SE +/- 0.047, N = 3 SE +/- 0.070, N = 3 SE +/- 0.042, N = 3 SE +/- 0.070, N = 3 SE +/- 0.014, N = 3 SE +/- 0.052, N = 3 SE +/- 0.089, N = 3 SE +/- 0.030, N = 3 SE +/- 0.023, N = 3 SE +/- 0.060, N = 3 9.796 20.377 24.688 28.157 14.890 9.819 13.488 9.981 13.366 10.151 23.290 8.343 25.669 15.273 11.532 8.384 8.301 7.679 9.761 10.772 1. (CXX) g++ options: -O2 -lOpenCL
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP CFD Solver EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 6 12 18 24 30 Min: 9.78 / Avg: 9.8 / Max: 9.81 Min: 20.2 / Avg: 20.38 / Max: 20.62 Min: 24.56 / Avg: 24.69 / Max: 24.89 Min: 28.03 / Avg: 28.16 / Max: 28.33 Min: 14.82 / Avg: 14.89 / Max: 14.98 Min: 9.79 / Avg: 9.82 / Max: 9.86 Min: 13.28 / Avg: 13.49 / Max: 13.66 Min: 9.83 / Avg: 9.98 / Max: 10.25 Min: 13.35 / Avg: 13.37 / Max: 13.39 Min: 10.1 / Avg: 10.15 / Max: 10.19 Min: 23.21 / Avg: 23.29 / Max: 23.37 Min: 8.27 / Avg: 8.34 / Max: 8.48 Min: 25.59 / Avg: 25.67 / Max: 25.71 Min: 15.17 / Avg: 15.27 / Max: 15.41 Min: 11.51 / Avg: 11.53 / Max: 11.55 Min: 8.32 / Avg: 8.38 / Max: 8.49 Min: 8.14 / Avg: 8.3 / Max: 8.44 Min: 7.63 / Avg: 7.68 / Max: 7.73 Min: 9.72 / Avg: 9.76 / Max: 9.79 Min: 10.7 / Avg: 10.77 / Max: 10.89 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 20 40 60 80 100 SE +/- 0.50, N = 5 SE +/- 1.26, N = 3 SE +/- 0.78, N = 3 SE +/- 0.81, N = 3 SE +/- 0.73, N = 3 SE +/- 0.41, N = 6 SE +/- 0.85, N = 3 SE +/- 0.44, N = 3 SE +/- 0.61, N = 3 SE +/- 0.51, N = 5 SE +/- 0.59, N = 3 SE +/- 0.34, N = 8 SE +/- 0.82, N = 3 SE +/- 0.75, N = 4 SE +/- 0.74, N = 3 SE +/- 0.32, N = 8 SE +/- 0.29, N = 9 SE +/- 0.29, N = 9 SE +/- 0.50, N = 5 SE +/- 0.66, N = 3 38.73 75.08 97.94 105.12 61.95 36.52 50.11 39.14 46.98 41.12 85.45 32.17 107.09 56.26 44.09 31.93 29.71 29.46 38.68 39.47
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed Linux Kernel Compilation 5.4 Time To Compile EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 20 40 60 80 100 Min: 38.21 / Avg: 38.73 / Max: 40.75 Min: 73.79 / Avg: 75.08 / Max: 77.61 Min: 96.97 / Avg: 97.94 / Max: 99.48 Min: 104.06 / Avg: 105.12 / Max: 106.71 Min: 60.99 / Avg: 61.95 / Max: 63.38 Min: 36.06 / Avg: 36.52 / Max: 38.57 Min: 49.19 / Avg: 50.11 / Max: 51.82 Min: 38.68 / Avg: 39.14 / Max: 40.01 Min: 46.33 / Avg: 46.98 / Max: 48.2 Min: 40.52 / Avg: 41.12 / Max: 43.17 Min: 84.43 / Avg: 85.45 / Max: 86.48 Min: 31.54 / Avg: 32.17 / Max: 34.51 Min: 105.98 / Avg: 107.09 / Max: 108.69 Min: 55.06 / Avg: 56.26 / Max: 58.43 Min: 43.31 / Avg: 44.09 / Max: 45.57 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 Min: 38.07 / Avg: 38.68 / Max: 40.67 Min: 38.8 / Avg: 39.47 / Max: 40.79
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 0.4148 0.8296 1.2444 1.6592 2.074 SE +/- 0.002135, N = 3 SE +/- 0.011469, N = 3 SE +/- 0.024818, N = 4 SE +/- 0.002690, N = 3 SE +/- 0.005483, N = 3 SE +/- 0.000576, N = 3 SE +/- 0.006121, N = 3 SE +/- 0.004547, N = 3 SE +/- 0.005635, N = 3 SE +/- 0.003436, N = 3 SE +/- 0.015210, N = 3 SE +/- 0.051492, N = 12 SE +/- 0.006472, N = 3 SE +/- 0.009798, N = 15 SE +/- 0.003662, N = 3 SE +/- 0.007556, N = 9 SE +/- 0.001105, N = 3 SE +/- 0.002637, N = 3 SE +/- 0.003266, N = 3 SE +/- 0.002349, N = 3 0.712874 1.316400 1.662110 1.713940 1.175090 0.539435 0.861371 0.636335 0.692661 0.738508 1.496190 0.682353 1.843760 1.084500 0.749534 0.800377 0.624560 0.508448 0.702869 0.551721 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 2 4 6 8 10 Min: 0.71 / Avg: 0.71 / Max: 0.72 Min: 1.3 / Avg: 1.32 / Max: 1.34 Min: 1.63 / Avg: 1.66 / Max: 1.74 Min: 1.71 / Avg: 1.71 / Max: 1.72 Min: 1.17 / Avg: 1.18 / Max: 1.19 Min: 0.54 / Avg: 0.54 / Max: 0.54 Min: 0.85 / Avg: 0.86 / Max: 0.87 Min: 0.63 / Avg: 0.64 / Max: 0.65 Min: 0.68 / Avg: 0.69 / Max: 0.7 Min: 0.73 / Avg: 0.74 / Max: 0.74 Min: 1.48 / Avg: 1.5 / Max: 1.53 Min: 0.54 / Avg: 0.68 / Max: 0.95 Min: 1.84 / Avg: 1.84 / Max: 1.86 Min: 1.03 / Avg: 1.08 / Max: 1.21 Min: 0.75 / Avg: 0.75 / Max: 0.76 Min: 0.76 / Avg: 0.8 / Max: 0.83 Min: 0.62 / Avg: 0.62 / Max: 0.63 Min: 0.5 / Avg: 0.51 / Max: 0.51 Min: 0.7 / Avg: 0.7 / Max: 0.71 Min: 0.55 / Avg: 0.55 / Max: 0.56 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 80 160 240 320 400 SE +/- 0.97, N = 3 SE +/- 0.60, N = 3 SE +/- 0.44, N = 3 SE +/- 0.19, N = 3 SE +/- 0.74, N = 3 SE +/- 1.64, N = 3 SE +/- 0.18, N = 3 SE +/- 1.86, N = 3 SE +/- 1.32, N = 3 SE +/- 3.26, N = 3 SE +/- 0.17, N = 3 SE +/- 0.35, N = 3 SE +/- 0.19, N = 3 SE +/- 0.84, N = 3 SE +/- 0.65, N = 3 SE +/- 0.92, N = 3 SE +/- 1.71, N = 3 SE +/- 3.39, N = 3 SE +/- 1.60, N = 3 SE +/- 0.78, N = 3 354.06 195.57 103.49 112.47 252.60 374.54 302.67 332.00 246.52 348.02 120.31 369.46 115.55 247.19 334.14 364.75 348.52 360.79 357.09 361.45 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 70 140 210 280 350 Min: 352.32 / Avg: 354.06 / Max: 355.66 Min: 194.68 / Avg: 195.57 / Max: 196.72 Min: 102.62 / Avg: 103.49 / Max: 103.95 Min: 112.13 / Avg: 112.47 / Max: 112.8 Min: 251.15 / Avg: 252.6 / Max: 253.59 Min: 372.9 / Avg: 374.54 / Max: 377.83 Min: 302.42 / Avg: 302.67 / Max: 303.03 Min: 329.31 / Avg: 332 / Max: 335.57 Min: 244.2 / Avg: 246.52 / Max: 248.76 Min: 343.64 / Avg: 348.02 / Max: 354.4 Min: 119.98 / Avg: 120.31 / Max: 120.53 Min: 369 / Avg: 369.46 / Max: 370.14 Min: 115.19 / Avg: 115.55 / Max: 115.81 Min: 245.6 / Avg: 247.19 / Max: 248.45 Min: 332.96 / Avg: 334.14 / Max: 335.2 Min: 362.98 / Avg: 364.75 / Max: 366.08 Min: 345.82 / Avg: 348.52 / Max: 351.7 Min: 354.19 / Avg: 360.79 / Max: 365.41 Min: 354.4 / Avg: 357.09 / Max: 359.93 Min: 359.93 / Avg: 361.45 / Max: 362.54 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 40 80 120 160 200 SE +/- 0.08, N = 3 SE +/- 0.23, N = 3 SE +/- 0.46, N = 3 SE +/- 0.48, N = 3 SE +/- 0.69, N = 3 SE +/- 0.27, N = 3 SE +/- 0.03, N = 3 SE +/- 0.20, N = 3 SE +/- 0.99, N = 3 SE +/- 0.41, N = 3 SE +/- 0.14, N = 3 SE +/- 0.57, N = 4 SE +/- 1.14, N = 3 SE +/- 0.38, N = 3 SE +/- 0.31, N = 3 SE +/- 0.45, N = 8 SE +/- 0.79, N = 4 SE +/- 0.24, N = 3 SE +/- 0.46, N = 3 SE +/- 0.14, N = 3 57.39 113.37 151.14 162.64 100.99 56.19 68.34 59.47 87.18 60.54 133.10 46.45 153.13 97.02 60.56 45.36 54.35 45.05 57.40 55.04 1. (CXX) g++ options: -O2 -lOpenCL
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP Leukocyte EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 30 60 90 120 150 Min: 57.23 / Avg: 57.39 / Max: 57.47 Min: 112.91 / Avg: 113.37 / Max: 113.64 Min: 150.42 / Avg: 151.14 / Max: 151.98 Min: 161.79 / Avg: 162.64 / Max: 163.45 Min: 99.65 / Avg: 100.98 / Max: 101.96 Min: 55.69 / Avg: 56.19 / Max: 56.63 Min: 68.29 / Avg: 68.34 / Max: 68.38 Min: 59.21 / Avg: 59.47 / Max: 59.87 Min: 85.23 / Avg: 87.18 / Max: 88.43 Min: 60 / Avg: 60.54 / Max: 61.33 Min: 132.94 / Avg: 133.1 / Max: 133.37 Min: 45.49 / Avg: 46.44 / Max: 48.06 Min: 151.63 / Avg: 153.13 / Max: 155.37 Min: 96.64 / Avg: 97.02 / Max: 97.77 Min: 59.94 / Avg: 60.56 / Max: 60.89 Min: 44.01 / Avg: 45.35 / Max: 48.12 Min: 53.22 / Avg: 54.35 / Max: 56.65 Min: 44.57 / Avg: 45.05 / Max: 45.32 Min: 56.58 / Avg: 57.4 / Max: 58.17 Min: 54.79 / Avg: 55.04 / Max: 55.29 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 30M 60M 90M 120M 150M SE +/- 138505.24, N = 3 SE +/- 553117.95, N = 3 SE +/- 300071.26, N = 3 SE +/- 367613.84, N = 3 SE +/- 21654.12, N = 3 SE +/- 85623.51, N = 3 SE +/- 346134.38, N = 3 SE +/- 325493.89, N = 3 SE +/- 57668.78, N = 3 SE +/- 43695.86, N = 3 SE +/- 276293.23, N = 3 SE +/- 534270.03, N = 3 SE +/- 79087.77, N = 3 SE +/- 258439.14, N = 3 SE +/- 92631.94, N = 3 SE +/- 699142.47, N = 3 SE +/- 117297.02, N = 3 SE +/- 13013.76, N = 3 SE +/- 61652.84, N = 3 SE +/- 547694.92, N = 3 66023410 54729003 100136353 69631237 46309610 66281803 75657760 104620000 141602033 65842107 106472367 82508063 40677543 103276333 79244993 92809700 77105490 77768500 68816610 113303100 1. (CXX) g++ options: -O3 -fopenmp
Result Confidence
OpenBenchmarking.org Throughput FoM, More Is Better Kripke 1.2.4 EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 20M 40M 60M 80M 100M Min: 65816160 / Avg: 66023410 / Max: 66286210 Min: 54086810 / Avg: 54729003.33 / Max: 55830170 Min: 99550260 / Avg: 100136353.33 / Max: 100541200 Min: 68899500 / Avg: 69631236.67 / Max: 70059080 Min: 46284070 / Avg: 46309610 / Max: 46352670 Min: 66123390 / Avg: 66281803.33 / Max: 66417340 Min: 75166410 / Avg: 75657760 / Max: 76325760 Min: 104002100 / Avg: 104620000 / Max: 105106400 Min: 141487000 / Avg: 141602033.33 / Max: 141666800 Min: 65754820 / Avg: 65842106.67 / Max: 65889460 Min: 105955800 / Avg: 106472366.67 / Max: 106900600 Min: 81446530 / Avg: 82508063.33 / Max: 83144630 Min: 40535410 / Avg: 40677543.33 / Max: 40808720 Min: 102759600 / Avg: 103276333.33 / Max: 103545300 Min: 79076240 / Avg: 79244993.33 / Max: 79395580 Min: 91869130 / Avg: 92809700 / Max: 94176030 Min: 76917380 / Avg: 77105490 / Max: 77320940 Min: 77749830 / Avg: 77768500 / Max: 77793540 Min: 68738250 / Avg: 68816610 / Max: 68938240 Min: 112224900 / Avg: 113303100 / Max: 114009600 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 11 22 33 44 55 SE +/- 0.00, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, 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 +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 16.98 32.80 42.15 45.07 27.16 16.09 21.44 16.94 20.77 17.87 36.78 14.44 46.73 24.58 19.01 14.21 13.61 13.44 16.91 17.29
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed MPlayer Compilation 1.4 Time To Compile EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 10 20 30 40 50 Min: 16.98 / Avg: 16.98 / Max: 16.98 Min: 32.74 / Avg: 32.8 / Max: 32.87 Min: 42.08 / Avg: 42.15 / Max: 42.23 Min: 45 / Avg: 45.07 / Max: 45.14 Min: 27.07 / Avg: 27.15 / Max: 27.25 Min: 16.01 / Avg: 16.09 / Max: 16.14 Min: 21.4 / Avg: 21.44 / Max: 21.5 Min: 16.89 / Avg: 16.94 / Max: 16.98 Min: 20.74 / Avg: 20.77 / Max: 20.81 Min: 17.84 / Avg: 17.87 / Max: 17.89 Min: 36.73 / Avg: 36.78 / Max: 36.82 Min: 14.36 / Avg: 14.43 / Max: 14.5 Min: 46.7 / Avg: 46.73 / Max: 46.78 Min: 24.53 / Avg: 24.57 / Max: 24.64 Min: 18.97 / Avg: 19.01 / Max: 19.04 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 Min: 16.84 / Avg: 16.91 / Max: 17 Min: 17.2 / Avg: 17.29 / Max: 17.42
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 4 8 12 16 20 SE +/- 0.00234, N = 3 SE +/- 0.03084, N = 3 SE +/- 0.12714, N = 3 SE +/- 0.03075, N = 3 SE +/- 0.00820, N = 3 SE +/- 0.00353, N = 3 SE +/- 0.00709, N = 3 SE +/- 0.01336, N = 3 SE +/- 0.06725, N = 3 SE +/- 0.01115, N = 3 SE +/- 0.07384, N = 3 SE +/- 0.00254, N = 3 SE +/- 0.02746, N = 3 SE +/- 0.10143, N = 4 SE +/- 0.00753, N = 3 SE +/- 0.00059, N = 3 SE +/- 0.00415, N = 3 SE +/- 0.00298, N = 3 SE +/- 0.00885, N = 3 SE +/- 0.03557, N = 3 4.64995 9.46552 15.01350 14.72650 7.34207 4.47072 5.77336 4.79450 7.05423 4.94904 13.78970 4.37212 14.55650 7.66718 5.22125 4.39351 4.50294 4.36521 4.65515 4.88257 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 4 8 12 16 20 Min: 4.65 / Avg: 4.65 / Max: 4.65 Min: 9.41 / Avg: 9.47 / Max: 9.51 Min: 14.77 / Avg: 15.01 / Max: 15.2 Min: 14.7 / Avg: 14.73 / Max: 14.79 Min: 7.33 / Avg: 7.34 / Max: 7.35 Min: 4.47 / Avg: 4.47 / Max: 4.48 Min: 5.76 / Avg: 5.77 / Max: 5.79 Min: 4.78 / Avg: 4.79 / Max: 4.82 Min: 6.95 / Avg: 7.05 / Max: 7.18 Min: 4.93 / Avg: 4.95 / Max: 4.97 Min: 13.65 / Avg: 13.79 / Max: 13.89 Min: 4.37 / Avg: 4.37 / Max: 4.37 Min: 14.51 / Avg: 14.56 / Max: 14.6 Min: 7.47 / Avg: 7.67 / Max: 7.94 Min: 5.21 / Avg: 5.22 / Max: 5.24 Min: 4.39 / Avg: 4.39 / Max: 4.39 Min: 4.49 / Avg: 4.5 / Max: 4.51 Min: 4.36 / Avg: 4.37 / Max: 4.37 Min: 4.65 / Avg: 4.66 / Max: 4.67 Min: 4.85 / Avg: 4.88 / Max: 4.95 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 9 18 27 36 45 SE +/- 0.23, N = 3 SE +/- 0.14, N = 3 SE +/- 0.16, N = 3 SE +/- 0.10, N = 3 SE +/- 0.03, N = 3 SE +/- 0.32, N = 3 SE +/- 0.14, N = 3 SE +/- 0.15, N = 3 SE +/- 0.26, N = 3 SE +/- 0.27, N = 3 SE +/- 0.14, N = 3 SE +/- 0.09, N = 3 SE +/- 0.15, N = 3 SE +/- 0.21, N = 3 SE +/- 0.25, N = 3 SE +/- 0.21, N = 3 SE +/- 0.27, N = 3 SE +/- 0.31, N = 3 SE +/- 0.12, N = 3 SE +/- 0.35, N = 3 31.86 15.90 12.96 12.33 20.13 33.82 24.75 30.10 24.98 29.69 15.03 33.04 10.98 21.62 27.86 34.80 32.08 37.42 32.30 29.48
Result Confidence
OpenBenchmarking.org FPS, More Is Better PlaidML FP16: No - Mode: Inference - Network: VGG16 - Device: CPU EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 8 16 24 32 40 Min: 31.4 / Avg: 31.86 / Max: 32.11 Min: 15.65 / Avg: 15.9 / Max: 16.12 Min: 12.65 / Avg: 12.96 / Max: 13.17 Min: 12.16 / Avg: 12.33 / Max: 12.49 Min: 20.08 / Avg: 20.13 / Max: 20.18 Min: 33.22 / Avg: 33.82 / Max: 34.33 Min: 24.52 / Avg: 24.75 / Max: 24.99 Min: 29.89 / Avg: 30.1 / Max: 30.39 Min: 24.48 / Avg: 24.98 / Max: 25.34 Min: 29.22 / Avg: 29.69 / Max: 30.17 Min: 14.81 / Avg: 15.03 / Max: 15.28 Min: 32.94 / Avg: 33.04 / Max: 33.21 Min: 10.72 / Avg: 10.98 / Max: 11.24 Min: 21.35 / Avg: 21.62 / Max: 22.04 Min: 27.56 / Avg: 27.86 / Max: 28.36 Min: 34.56 / Avg: 34.8 / Max: 35.22 Min: 31.8 / Avg: 32.08 / Max: 32.62 Min: 36.86 / Avg: 37.42 / Max: 37.93 Min: 32.1 / Avg: 32.3 / Max: 32.52 Min: 29.05 / Avg: 29.48 / Max: 30.18
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 40K 80K 120K 160K 200K SE +/- 41.97, N = 3 SE +/- 246.26, N = 3 SE +/- 51.41, N = 3 SE +/- 284.64, N = 3 SE +/- 82.24, N = 3 SE +/- 41.05, N = 3 SE +/- 255.82, N = 3 SE +/- 165.04, N = 3 SE +/- 531.97, N = 3 SE +/- 158.35, N = 3 SE +/- 103.64, N = 3 SE +/- 320.60, N = 3 SE +/- 139.20, N = 3 SE +/- 157.79, N = 3 SE +/- 354.28, N = 3 SE +/- 219.56, N = 3 SE +/- 196.12, N = 3 SE +/- 168.25, N = 3 SE +/- 187.85, N = 3 SE +/- 115.80, N = 3 138345 88107 59225 59153 109127 148700 117512 131671 134174 146157 79963 160177 59491 93454 126717 159162 201155 197631 148225 155900 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 30K 60K 90K 120K 150K Min: 138265 / Avg: 138345 / Max: 138407 Min: 87677 / Avg: 88106.67 / Max: 88530 Min: 59125 / Avg: 59225.33 / Max: 59295 Min: 58585 / Avg: 59153 / Max: 59470 Min: 108974 / Avg: 109126.67 / Max: 109256 Min: 148644 / Avg: 148700 / Max: 148780 Min: 117108 / Avg: 117512.33 / Max: 117986 Min: 131343 / Avg: 131671 / Max: 131867 Min: 133400 / Avg: 134173.67 / Max: 135193 Min: 145843 / Avg: 146157.33 / Max: 146348 Min: 79785 / Avg: 79963.33 / Max: 80144 Min: 159540 / Avg: 160177 / Max: 160559 Min: 59213 / Avg: 59491.33 / Max: 59636 Min: 93197 / Avg: 93453.67 / Max: 93741 Min: 126014 / Avg: 126716.67 / Max: 127147 Min: 158791 / Avg: 159162.33 / Max: 159551 Min: 200793 / Avg: 201154.67 / Max: 201467 Min: 197331 / Avg: 197631 / Max: 197913 Min: 147909 / Avg: 148225 / Max: 148559 Min: 155770 / Avg: 155900 / Max: 156131 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 200 400 600 800 1000 SE +/- 2.19, N = 3 SE +/- 4.59, N = 3 SE +/- 1.38, N = 3 SE +/- 1.95, N = 3 SE +/- 6.61, N = 4 SE +/- 4.26, N = 3 SE +/- 1.25, N = 3 SE +/- 0.66, N = 3 SE +/- 1.82, N = 3 SE +/- 1.75, N = 3 SE +/- 3.22, N = 3 SE +/- 1.85, N = 3 SE +/- 2.64, N = 3 SE +/- 4.72, N = 7 SE +/- 4.66, N = 4 SE +/- 0.99, N = 3 SE +/- 1.34, N = 3 SE +/- 0.65, N = 3 SE +/- 1.79, N = 3 SE +/- 3.65, N = 3 286.83 553.78 702.57 772.09 454.41 279.82 365.27 293.32 342.56 311.57 624.93 252.86 799.67 419.19 327.94 251.63 240.28 238.82 299.22 294.84
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed LLVM Compilation 10.0 Time To Compile EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 140 280 420 560 700 Min: 282.46 / Avg: 286.83 / Max: 289.26 Min: 546.27 / Avg: 553.78 / Max: 562.1 Min: 699.84 / Avg: 702.57 / Max: 704.24 Min: 768.62 / Avg: 772.09 / Max: 775.37 Min: 442.12 / Avg: 454.41 / Max: 472.86 Min: 271.29 / Avg: 279.82 / Max: 284.22 Min: 362.89 / Avg: 365.27 / Max: 367.12 Min: 292.42 / Avg: 293.32 / Max: 294.62 Min: 339.55 / Avg: 342.56 / Max: 345.85 Min: 308.32 / Avg: 311.57 / Max: 314.31 Min: 620.8 / Avg: 624.93 / Max: 631.28 Min: 249.78 / Avg: 252.86 / Max: 256.19 Min: 796.13 / Avg: 799.67 / Max: 804.84 Min: 402.02 / Avg: 419.19 / Max: 433.8 Min: 314.35 / Avg: 327.94 / Max: 334.31 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 Min: 296.83 / Avg: 299.22 / Max: 302.71 Min: 287.55 / Avg: 294.84 / Max: 298.7
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 110 220 330 440 550 181.00 347.69 463.51 490.96 294.35 172.40 232.54 186.36 234.69 189.13 413.50 160.64 519.56 274.94 208.16 161.23 163.68 161.38 179.85 187.96
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 2 4 6 8 10 SE +/- 0.024, N = 3 SE +/- 0.013, N = 3 SE +/- 0.004, N = 3 SE +/- 0.011, N = 3 SE +/- 0.006, N = 3 SE +/- 0.038, N = 3 SE +/- 0.039, N = 3 SE +/- 0.042, N = 3 SE +/- 0.019, N = 3 SE +/- 0.021, N = 3 SE +/- 0.005, N = 3 SE +/- 0.033, N = 3 SE +/- 0.002, N = 3 SE +/- 0.006, N = 3 SE +/- 0.010, N = 3 SE +/- 0.048, N = 3 SE +/- 0.075, N = 3 SE +/- 0.044, N = 3 SE +/- 0.007, N = 3 SE +/- 0.024, N = 3 6.710 3.525 2.674 2.549 4.082 7.075 5.286 6.575 5.201 6.429 3.073 7.694 2.553 4.626 6.095 7.908 7.953 8.191 6.771 6.728 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 3 6 9 12 15 Min: 6.66 / Avg: 6.71 / Max: 6.74 Min: 3.51 / Avg: 3.53 / Max: 3.55 Min: 2.67 / Avg: 2.67 / Max: 2.68 Min: 2.54 / Avg: 2.55 / Max: 2.57 Min: 4.07 / Avg: 4.08 / Max: 4.09 Min: 7.02 / Avg: 7.07 / Max: 7.15 Min: 5.22 / Avg: 5.29 / Max: 5.35 Min: 6.5 / Avg: 6.58 / Max: 6.64 Min: 5.17 / Avg: 5.2 / Max: 5.24 Min: 6.41 / Avg: 6.43 / Max: 6.47 Min: 3.06 / Avg: 3.07 / Max: 3.08 Min: 7.64 / Avg: 7.69 / Max: 7.75 Min: 2.55 / Avg: 2.55 / Max: 2.56 Min: 4.62 / Avg: 4.63 / Max: 4.64 Min: 6.08 / Avg: 6.1 / Max: 6.11 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 Min: 6.76 / Avg: 6.77 / Max: 6.78 Min: 6.68 / Avg: 6.73 / Max: 6.77 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 4K 8K 12K 16K 20K SE +/- 14.74, N = 3 SE +/- 135.36, N = 3 SE +/- 33.10, N = 3 SE +/- 61.54, N = 3 SE +/- 38.10, N = 3 SE +/- 14.92, N = 3 SE +/- 94.64, N = 3 SE +/- 25.22, N = 3 SE +/- 67.68, N = 3 SE +/- 32.09, N = 3 SE +/- 23.96, N = 3 SE +/- 41.28, N = 3 SE +/- 59.34, N = 3 SE +/- 29.43, N = 3 SE +/- 40.62, N = 3 SE +/- 124.38, N = 3 SE +/- 49.56, N = 3 SE +/- 78.70, N = 3 SE +/- 19.95, N = 3 SE +/- 41.62, N = 3 7761.44 10100.28 5960.35 8907.48 7481.74 7802.82 10647.64 16128.64 7434.42 7605.32 6202.90 10123.73 5237.68 10289.09 11346.95 16521.40 11015.81 11078.38 7700.23 12720.29 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
Result Confidence
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Memory Copying EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 3K 6K 9K 12K 15K Min: 7744.12 / Avg: 7761.44 / Max: 7790.75 Min: 9846 / Avg: 10100.28 / Max: 10307.87 Min: 5911.46 / Avg: 5960.35 / Max: 6023.44 Min: 8795.57 / Avg: 8907.48 / Max: 9007.82 Min: 7424.73 / Avg: 7481.74 / Max: 7554.04 Min: 7787.89 / Avg: 7802.82 / Max: 7832.66 Min: 10468.89 / Avg: 10647.64 / Max: 10790.93 Min: 16087.02 / Avg: 16128.64 / Max: 16174.13 Min: 7303.88 / Avg: 7434.42 / Max: 7530.67 Min: 7541.26 / Avg: 7605.32 / Max: 7640.63 Min: 6166.89 / Avg: 6202.9 / Max: 6248.29 Min: 10042.08 / Avg: 10123.73 / Max: 10175.2 Min: 5157.6 / Avg: 5237.68 / Max: 5353.58 Min: 10238.06 / Avg: 10289.09 / Max: 10340.01 Min: 11276.08 / Avg: 11346.95 / Max: 11416.79 Min: 16299.62 / Avg: 16521.4 / Max: 16729.86 Min: 10929.71 / Avg: 11015.81 / Max: 11101.4 Min: 10989.75 / Avg: 11078.38 / Max: 11235.33 Min: 7668.41 / Avg: 7700.23 / Max: 7737 Min: 12641.78 / Avg: 12720.29 / Max: 12783.5 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 15 30 45 60 75 SE +/- 0.11, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 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 +/- 0.04, N = 3 SE +/- 0.07, N = 3 SE +/- 0.13, N = 3 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 SE +/- 0.08, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 26.11 47.62 60.02 64.50 40.04 24.83 32.75 26.28 30.98 27.43 52.39 22.53 65.84 36.77 29.07 22.28 20.97 20.96 26.02 26.20
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed FFmpeg Compilation 4.2.2 Time To Compile EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 13 26 39 52 65 Min: 25.93 / Avg: 26.11 / Max: 26.31 Min: 47.58 / Avg: 47.62 / Max: 47.67 Min: 60 / Avg: 60.02 / Max: 60.04 Min: 64.46 / Avg: 64.5 / Max: 64.54 Min: 39.94 / Avg: 40.04 / Max: 40.18 Min: 24.8 / Avg: 24.83 / Max: 24.89 Min: 32.56 / Avg: 32.75 / Max: 33.03 Min: 26.19 / Avg: 26.28 / Max: 26.46 Min: 30.94 / Avg: 30.98 / Max: 31.02 Min: 27.37 / Avg: 27.43 / Max: 27.47 Min: 52.34 / Avg: 52.39 / Max: 52.43 Min: 22.46 / Avg: 22.53 / Max: 22.57 Min: 65.76 / Avg: 65.84 / Max: 65.98 Min: 36.55 / Avg: 36.77 / Max: 36.99 Min: 29.03 / Avg: 29.07 / Max: 29.1 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 Min: 25.97 / Avg: 26.02 / Max: 26.06 Min: 26.09 / Avg: 26.2 / Max: 26.3
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 2 4 6 8 10 SE +/- 0.00965, N = 3 SE +/- 0.02406, N = 3 SE +/- 0.01009, N = 3 SE +/- 0.04064, N = 3 SE +/- 0.05589, N = 3 SE +/- 0.00928, N = 3 SE +/- 0.02509, N = 3 SE +/- 0.03168, N = 3 SE +/- 0.02811, N = 3 SE +/- 0.00977, N = 3 SE +/- 0.02111, N = 3 SE +/- 0.01728, N = 3 SE +/- 0.02707, N = 3 SE +/- 0.04411, N = 3 SE +/- 0.01391, N = 3 SE +/- 0.00074, N = 3 SE +/- 0.03350, N = 3 SE +/- 0.03325, N = 5 SE +/- 0.02435, N = 3 SE +/- 0.00417, N = 3 3.90825 6.60647 6.98966 8.11390 6.09158 3.92547 4.31821 3.00812 3.41464 3.91971 6.68499 3.66187 7.71084 4.10317 3.99262 2.61369 3.08453 2.76936 3.86201 4.32989 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 3 6 9 12 15 Min: 3.9 / Avg: 3.91 / Max: 3.93 Min: 6.57 / Avg: 6.61 / Max: 6.65 Min: 6.97 / Avg: 6.99 / Max: 7.01 Min: 8.06 / Avg: 8.11 / Max: 8.19 Min: 6.03 / Avg: 6.09 / Max: 6.2 Min: 3.91 / Avg: 3.93 / Max: 3.94 Min: 4.27 / Avg: 4.32 / Max: 4.35 Min: 2.95 / Avg: 3.01 / Max: 3.06 Min: 3.36 / Avg: 3.41 / Max: 3.46 Min: 3.9 / Avg: 3.92 / Max: 3.94 Min: 6.64 / Avg: 6.68 / Max: 6.71 Min: 3.63 / Avg: 3.66 / Max: 3.69 Min: 7.68 / Avg: 7.71 / Max: 7.76 Min: 4.02 / Avg: 4.1 / Max: 4.15 Min: 3.97 / Avg: 3.99 / Max: 4.02 Min: 2.61 / Avg: 2.61 / Max: 2.62 Min: 3.03 / Avg: 3.08 / Max: 3.15 Min: 2.69 / Avg: 2.77 / Max: 2.89 Min: 3.83 / Avg: 3.86 / Max: 3.91 Min: 4.32 / Avg: 4.33 / Max: 4.34 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 130 260 390 520 650 SE +/- 1.27, N = 3 SE +/- 4.56, N = 3 SE +/- 0.80, N = 3 SE +/- 7.53, N = 9 SE +/- 6.71, N = 9 SE +/- 0.64, N = 3 SE +/- 3.11, N = 9 SE +/- 0.48, N = 3 SE +/- 0.82, N = 3 SE +/- 0.49, N = 3 SE +/- 6.58, N = 3 SE +/- 1.20, N = 3 SE +/- 1.08, N = 3 SE +/- 0.81, N = 3 SE +/- 0.37, N = 3 SE +/- 0.76, N = 3 SE +/- 1.62, N = 3 SE +/- 0.95, N = 3 SE +/- 1.89, N = 3 SE +/- 0.58, N = 3 200.15 465.36 433.82 604.18 288.45 201.48 291.31 206.40 233.39 212.92 499.28 228.99 463.50 274.72 212.14 210.54 265.33 227.28 204.09 194.96 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 110 220 330 440 550 Min: 197.97 / Avg: 200.15 / Max: 202.38 Min: 459.49 / Avg: 465.36 / Max: 474.33 Min: 432.32 / Avg: 433.82 / Max: 435.08 Min: 572.84 / Avg: 604.18 / Max: 632.97 Min: 278.16 / Avg: 288.45 / Max: 341.07 Min: 200.38 / Avg: 201.48 / Max: 202.6 Min: 277.74 / Avg: 291.31 / Max: 308.01 Min: 205.48 / Avg: 206.4 / Max: 207.09 Min: 232.52 / Avg: 233.39 / Max: 235.04 Min: 211.96 / Avg: 212.92 / Max: 213.58 Min: 486.13 / Avg: 499.28 / Max: 505.9 Min: 227.01 / Avg: 228.99 / Max: 231.15 Min: 461.34 / Avg: 463.5 / Max: 464.59 Min: 273.12 / Avg: 274.72 / Max: 275.73 Min: 211.46 / Avg: 212.14 / Max: 212.71 Min: 209.21 / Avg: 210.54 / Max: 211.84 Min: 262.49 / Avg: 265.33 / Max: 268.09 Min: 225.5 / Avg: 227.28 / Max: 228.76 Min: 202 / Avg: 204.09 / Max: 207.87 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 140 280 420 560 700 SE +/- 1.15, N = 3 SE +/- 0.33, N = 3 SE +/- 0.67, N = 3 SE +/- 0.33, N = 3 SE +/- 0.67, N = 3 SE +/- 0.58, N = 3 SE +/- 0.67, N = 3 SE +/- 0.33, N = 3 SE +/- 1.45, N = 3 SE +/- 1.53, N = 3 SE +/- 1.20, N = 3 SE +/- 1.76, N = 3 SE +/- 1.00, N = 3 SE +/- 0.88, N = 3 548 294 225 212 356 539 432 497 419 507 251 603 214 382 471 588 632 648 545 492 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 110 220 330 440 550 Min: 546 / Avg: 548 / Max: 550 Min: 293 / Avg: 293.67 / Max: 294 Min: 224 / Avg: 225.33 / Max: 226 Min: 211 / Avg: 211.67 / Max: 212 Min: 538 / Avg: 539.33 / Max: 540 Min: 431 / Avg: 432 / Max: 433 Min: 496 / Avg: 497.33 / Max: 498 Min: 418 / Avg: 418.67 / Max: 419 Min: 601 / Avg: 603.33 / Max: 606 Min: 469 / Avg: 471 / Max: 474 Min: 630 / Avg: 631.67 / Max: 634 Min: 645 / Avg: 647.67 / Max: 651 Min: 543 / Avg: 545 / Max: 546 Min: 490 / Avg: 491.67 / Max: 493 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 6 12 18 24 30 SE +/- 0.006, N = 3 SE +/- 0.016, N = 3 SE +/- 0.015, N = 3 SE +/- 0.007, N = 3 SE +/- 0.002, N = 3 SE +/- 0.015, N = 3 SE +/- 0.016, N = 3 SE +/- 0.018, N = 3 SE +/- 0.014, N = 3 SE +/- 0.006, N = 3 SE +/- 0.053, N = 3 SE +/- 0.014, N = 3 SE +/- 0.023, N = 3 SE +/- 0.030, N = 3 SE +/- 0.020, N = 3 SE +/- 0.009, N = 3 SE +/- 0.008, N = 3 SE +/- 0.006, N = 3 SE +/- 0.004, N = 3 SE +/- 0.002, N = 3 9.410 18.688 22.699 24.972 15.297 8.954 11.955 9.593 12.411 9.989 21.365 8.697 24.758 14.043 10.630 8.666 8.356 8.189 9.417 9.558
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Y-Cruncher 0.7.8.9503 Calculating 500M Pi Digits EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 6 12 18 24 30 Min: 9.4 / Avg: 9.41 / Max: 9.42 Min: 18.67 / Avg: 18.69 / Max: 18.72 Min: 22.68 / Avg: 22.7 / Max: 22.73 Min: 24.97 / Avg: 24.97 / Max: 24.99 Min: 15.29 / Avg: 15.3 / Max: 15.3 Min: 8.94 / Avg: 8.95 / Max: 8.98 Min: 11.93 / Avg: 11.96 / Max: 11.99 Min: 9.57 / Avg: 9.59 / Max: 9.63 Min: 12.4 / Avg: 12.41 / Max: 12.44 Min: 9.98 / Avg: 9.99 / Max: 10 Min: 21.29 / Avg: 21.37 / Max: 21.47 Min: 8.67 / Avg: 8.7 / Max: 8.72 Min: 24.72 / Avg: 24.76 / Max: 24.8 Min: 13.98 / Avg: 14.04 / Max: 14.07 Min: 10.59 / Avg: 10.63 / Max: 10.66 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 Min: 9.41 / Avg: 9.42 / Max: 9.42 Min: 9.55 / Avg: 9.56 / Max: 9.56
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 9 18 27 36 45 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, 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 +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 16.49 29.84 38.32 40.71 24.53 15.78 20.54 16.90 20.03 17.22 33.35 14.42 40.08 23.73 18.38 14.31 13.50 13.37 16.50 16.99 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: UASTC Level 2 EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 8 16 24 32 40 Min: 16.48 / Avg: 16.49 / Max: 16.5 Min: 29.81 / Avg: 29.84 / Max: 29.87 Min: 38.3 / Avg: 38.32 / Max: 38.35 Min: 40.67 / Avg: 40.71 / Max: 40.8 Min: 24.5 / Avg: 24.53 / Max: 24.55 Min: 15.75 / Avg: 15.78 / Max: 15.83 Min: 20.5 / Avg: 20.54 / Max: 20.56 Min: 16.87 / Avg: 16.9 / Max: 16.92 Min: 20.02 / Avg: 20.03 / Max: 20.05 Min: 17.21 / Avg: 17.22 / Max: 17.23 Min: 33.34 / Avg: 33.35 / Max: 33.36 Min: 14.38 / Avg: 14.42 / Max: 14.46 Min: 40.02 / Avg: 40.08 / Max: 40.19 Min: 23.7 / Avg: 23.73 / Max: 23.74 Min: 18.34 / Avg: 18.38 / Max: 18.4 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 Min: 16.5 / Avg: 16.5 / Max: 16.51 Min: 16.98 / Avg: 16.99 / Max: 17 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P 3 6 9 12 15 SE +/- 0.02, 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 +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 11.98 5.79 4.63 4.38 7.70 12.59 8.34 11.50 9.62 11.25 5.30 12.64 4.34 8.19 9.24 12.83 12.45 13.16 12.08 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P 4 8 12 16 20 Min: 11.94 / Avg: 11.98 / Max: 12.02 Min: 5.79 / Avg: 5.79 / Max: 5.8 Min: 4.62 / Avg: 4.63 / Max: 4.63 Min: 4.37 / Avg: 4.38 / Max: 4.38 Min: 7.68 / Avg: 7.7 / Max: 7.72 Min: 12.58 / Avg: 12.59 / Max: 12.6 Min: 8.33 / Avg: 8.34 / Max: 8.34 Min: 11.49 / Avg: 11.5 / Max: 11.51 Min: 9.61 / Avg: 9.62 / Max: 9.63 Min: 11.24 / Avg: 11.25 / Max: 11.27 Min: 5.28 / Avg: 5.3 / Max: 5.31 Min: 12.59 / Avg: 12.64 / Max: 12.67 Min: 4.33 / Avg: 4.34 / Max: 4.35 Min: 8.17 / Avg: 8.19 / Max: 8.21 Min: 9.22 / Avg: 9.24 / Max: 9.25 Min: 12.81 / Avg: 12.83 / Max: 12.86 Min: 12.42 / Avg: 12.45 / Max: 12.49 Min: 13.12 / Avg: 13.16 / Max: 13.18 Min: 12.06 / Avg: 12.08 / Max: 12.1 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 12.22 5.91 4.71 4.46 7.84 12.83 8.51 11.70 9.78 11.44 5.41 12.80 4.41 8.34 9.37 13.04 12.63 13.35 12.24 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P 4 8 12 16 20 Min: 12.2 / Avg: 12.22 / Max: 12.24 Min: 5.9 / Avg: 5.91 / Max: 5.91 Min: 4.7 / Avg: 4.71 / Max: 4.72 Min: 4.45 / Avg: 4.46 / Max: 4.47 Min: 7.81 / Avg: 7.84 / Max: 7.86 Min: 12.82 / Avg: 12.83 / Max: 12.84 Min: 8.5 / Avg: 8.51 / Max: 8.51 Min: 11.68 / Avg: 11.7 / Max: 11.71 Min: 9.77 / Avg: 9.78 / Max: 9.81 Min: 11.41 / Avg: 11.44 / Max: 11.45 Min: 5.4 / Avg: 5.41 / Max: 5.42 Min: 12.76 / Avg: 12.8 / Max: 12.85 Min: 4.41 / Avg: 4.41 / Max: 4.42 Min: 8.31 / Avg: 8.34 / Max: 8.36 Min: 9.34 / Avg: 9.37 / Max: 9.4 Min: 13.02 / Avg: 13.04 / Max: 13.05 Min: 12.62 / Avg: 12.63 / Max: 12.63 Min: 13.34 / Avg: 13.35 / Max: 13.38 Min: 12.21 / Avg: 12.24 / Max: 12.26 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 0.7973 1.5946 2.3919 3.1892 3.9865 SE +/- 0.01607, N = 3 SE +/- 0.02463, N = 3 SE +/- 0.01144, N = 3 SE +/- 0.00803, N = 3 SE +/- 0.00586, N = 3 SE +/- 0.00451, N = 3 SE +/- 0.01559, N = 3 SE +/- 0.01751, N = 5 SE +/- 0.00098, N = 3 SE +/- 0.00983, N = 3 SE +/- 0.01854, N = 3 SE +/- 0.01138, N = 3 SE +/- 0.01156, N = 3 SE +/- 0.00075, N = 3 SE +/- 0.01782, N = 3 SE +/- 0.01158, N = 3 SE +/- 0.03257, N = 3 SE +/- 0.01389, N = 3 SE +/- 0.00299, N = 3 SE +/- 0.00044, N = 3 1.22438 2.64623 3.16012 3.54349 1.81722 1.17179 1.74833 1.30689 1.49718 1.37066 2.99726 2.28719 3.52616 1.71797 1.52009 2.18140 2.96316 2.67161 1.17917 1.32784 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 2 4 6 8 10 Min: 1.19 / Avg: 1.22 / Max: 1.25 Min: 2.62 / Avg: 2.65 / Max: 2.7 Min: 3.14 / Avg: 3.16 / Max: 3.18 Min: 3.53 / Avg: 3.54 / Max: 3.56 Min: 1.81 / Avg: 1.82 / Max: 1.83 Min: 1.17 / Avg: 1.17 / Max: 1.18 Min: 1.72 / Avg: 1.75 / Max: 1.78 Min: 1.28 / Avg: 1.31 / Max: 1.38 Min: 1.5 / Avg: 1.5 / Max: 1.5 Min: 1.35 / Avg: 1.37 / Max: 1.38 Min: 2.98 / Avg: 3 / Max: 3.03 Min: 2.27 / Avg: 2.29 / Max: 2.31 Min: 3.51 / Avg: 3.53 / Max: 3.55 Min: 1.72 / Avg: 1.72 / Max: 1.72 Min: 1.49 / Avg: 1.52 / Max: 1.55 Min: 2.16 / Avg: 2.18 / Max: 2.2 Min: 2.9 / Avg: 2.96 / Max: 3.01 Min: 2.64 / Avg: 2.67 / Max: 2.69 Min: 1.17 / Avg: 1.18 / Max: 1.18 Min: 1.33 / Avg: 1.33 / Max: 1.33 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 14 28 42 56 70 56.55 59.08 55.58 58.26 58.54 56.03 60.38 45.33 50.45 56.48 51.00 54.09 62.97 57.12 56.73 34.89 33.11 32.97 56.92 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 70 140 210 280 350 SE +/- 0.00, N = 12 SE +/- 0.00, N = 15 SE +/- 0.00, N = 15 SE +/- 9.36, N = 12 SE +/- 4.54, N = 15 SE +/- 0.00, N = 12 SE +/- 0.00, N = 15 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 250.00 166.67 111.11 111.11 200.00 319.44 250.00 250.00 243.00 250.00 125.00 333.33 111.11 200.00 250.00 333.33 333.33 333.33 250.00 250.00
Result Confidence
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: Magnetic Reconnection - Renderer: Path Tracer EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 60 120 180 240 300 Min: 166.67 / Avg: 166.67 / Max: 166.67 Min: 111.11 / Avg: 111.11 / Max: 111.11 Min: 111.11 / Avg: 111.11 / Max: 111.11 Min: 250 / Avg: 319.44 / Max: 333.33 Min: 200 / Avg: 243.33 / Max: 250 Min: 333.33 / Avg: 333.33 / Max: 333.33 Min: 111.11 / Avg: 111.11 / Max: 111.11 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 40 80 120 160 200 SE +/- 1.21, N = 3 SE +/- 1.31, N = 3 SE +/- 3.20, N = 3 SE +/- 1.77, N = 3 SE +/- 0.72, N = 3 SE +/- 0.83, N = 3 SE +/- 0.34, N = 3 SE +/- 0.28, N = 3 SE +/- 1.42, N = 3 SE +/- 0.64, N = 3 SE +/- 2.84, N = 3 SE +/- 1.11, N = 3 SE +/- 1.26, N = 3 SE +/- 1.77, N = 3 SE +/- 1.36, N = 3 SE +/- 0.89, N = 5 SE +/- 0.37, N = 3 SE +/- 0.73, N = 7 SE +/- 1.00, N = 3 SE +/- 0.24, N = 3 70.38 133.27 193.75 191.40 103.64 67.57 90.57 84.19 127.78 76.33 171.15 65.39 186.60 112.44 82.57 67.48 69.08 65.13 69.77 84.24 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 40 80 120 160 200 Min: 67.97 / Avg: 70.38 / Max: 71.8 Min: 130.66 / Avg: 133.27 / Max: 134.78 Min: 187.36 / Avg: 193.75 / Max: 197.04 Min: 187.94 / Avg: 191.4 / Max: 193.8 Min: 102.22 / Avg: 103.64 / Max: 104.57 Min: 65.98 / Avg: 67.57 / Max: 68.77 Min: 90.16 / Avg: 90.57 / Max: 91.26 Min: 83.84 / Avg: 84.19 / Max: 84.75 Min: 125.05 / Avg: 127.78 / Max: 129.85 Min: 75.06 / Avg: 76.33 / Max: 77.02 Min: 167.3 / Avg: 171.15 / Max: 176.69 Min: 63.33 / Avg: 65.39 / Max: 67.14 Min: 185.16 / Avg: 186.59 / Max: 189.11 Min: 108.9 / Avg: 112.44 / Max: 114.31 Min: 80.22 / Avg: 82.57 / Max: 84.93 Min: 64.99 / Avg: 67.48 / Max: 69.65 Min: 68.68 / Avg: 69.08 / Max: 69.82 Min: 61.91 / Avg: 65.13 / Max: 67.08 Min: 68.75 / Avg: 69.77 / Max: 71.77 Min: 83.83 / Avg: 84.24 / Max: 84.64 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 1.4M 2.8M 4.2M 5.6M 7M SE +/- 11686.42, N = 3 SE +/- 4275.20, N = 3 SE +/- 9065.81, N = 3 SE +/- 6821.32, N = 3 SE +/- 4822.94, N = 3 SE +/- 1352.61, N = 3 SE +/- 74928.50, N = 3 SE +/- 3392.60, N = 3 SE +/- 8758.84, N = 3 SE +/- 10150.69, N = 3 SE +/- 1809.82, N = 3 SE +/- 2161.64, N = 3 SE +/- 3427.00, N = 3 SE +/- 15658.57, N = 3 SE +/- 12295.11, N = 3 SE +/- 10391.88, N = 3 SE +/- 4550.43, N = 3 SE +/- 11017.89, N = 3 SE +/- 1381.63, N = 3 SE +/- 11987.30, N = 3 5522472 3228017 2247000 2195652 4070067 5550661 5195397 6307291 4585335 5532974 2378481 6164612 2140186 4271821 5371013 6324546 6215179 6231095 5568287 5843383 1. (CC) gcc options: -std=gnu99 -fopenmp -O3 -lm
Result Confidence
OpenBenchmarking.org Lookups/s, More Is Better Xsbench 2017-07-06 EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 1.1M 2.2M 3.3M 4.4M 5.5M Min: 5499170 / Avg: 5522471.67 / Max: 5535701 Min: 3223580 / Avg: 3228016.67 / Max: 3236565 Min: 2230117 / Avg: 2246999.67 / Max: 2261168 Min: 2186761 / Avg: 2195652.33 / Max: 2209059 Min: 4060974 / Avg: 4070067 / Max: 4077401 Min: 5548140 / Avg: 5550661.33 / Max: 5552771 Min: 5045873 / Avg: 5195397 / Max: 5278806 Min: 6301349 / Avg: 6307291.33 / Max: 6313099 Min: 4568020 / Avg: 4585334.67 / Max: 4596295 Min: 5521561 / Avg: 5532974.33 / Max: 5553221 Min: 2375572 / Avg: 2378481.33 / Max: 2381801 Min: 6161836 / Avg: 6164611.67 / Max: 6168870 Min: 2134305 / Avg: 2140185.67 / Max: 2146175 Min: 4240519 / Avg: 4271821 / Max: 4288315 Min: 5346542 / Avg: 5371013 / Max: 5385343 Min: 6311937 / Avg: 6324546 / Max: 6345159 Min: 6208570 / Avg: 6215179 / Max: 6223902 Min: 6213281 / Avg: 6231095.33 / Max: 6251235 Min: 5566364 / Avg: 5568287 / Max: 5570967 Min: 5819818 / Avg: 5843383 / Max: 5858987 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 400 800 1200 1600 2000 SE +/- 9.67, N = 3 SE +/- 1.86, N = 3 SE +/- 1.53, N = 3 SE +/- 3.33, N = 3 SE +/- 10.58, N = 3 SE +/- 3.61, N = 3 SE +/- 28.17, N = 3 SE +/- 5.00, N = 3 SE +/- 13.45, N = 3 SE +/- 2.08, N = 3 SE +/- 16.76, N = 3 SE +/- 2.33, N = 3 SE +/- 1.00, N = 3 SE +/- 6.08, N = 3 SE +/- 19.81, N = 15 SE +/- 13.30, N = 15 SE +/- 25.93, N = 15 SE +/- 13.35, N = 3 SE +/- 3.76, N = 3 1845 1021 776 768 1194 1957 1495 1805 1599 1744 878 1657 675 1404 1664 1664 741 975 1945 1846 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 300 600 900 1200 1500 Min: 1835 / Avg: 1844.67 / Max: 1864 Min: 774 / Avg: 776.33 / Max: 780 Min: 766 / Avg: 768 / Max: 771 Min: 1191 / Avg: 1194.33 / Max: 1201 Min: 1941 / Avg: 1957 / Max: 1977 Min: 1488 / Avg: 1495 / Max: 1500 Min: 1749 / Avg: 1804.67 / Max: 1840 Min: 1594 / Avg: 1599 / Max: 1609 Min: 1728 / Avg: 1744.33 / Max: 1771 Min: 875 / Avg: 878 / Max: 882 Min: 1625 / Avg: 1656.67 / Max: 1682 Min: 671 / Avg: 675.33 / Max: 679 Min: 1402 / Avg: 1404 / Max: 1405 Min: 1654 / Avg: 1664 / Max: 1675 Min: 1535 / Avg: 1663.87 / Max: 1807 Min: 658 / Avg: 740.67 / Max: 849 Min: 802 / Avg: 974.87 / Max: 1155 Min: 1923 / Avg: 1944.67 / Max: 1969 Min: 1839 / Avg: 1845.67 / Max: 1852 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 50K 100K 150K 200K 250K SE +/- 1070.25, N = 6 SE +/- 1339.85, N = 3 SE +/- 2475.55, N = 3 SE +/- 2446.09, N = 3 SE +/- 552.61, N = 3 SE +/- 672.62, N = 15 SE +/- 404.73, N = 3 SE +/- 101.95, N = 3 SE +/- 67.65, N = 3 SE +/- 411.16, N = 3 SE +/- 933.85, N = 3 SE +/- 440.36, N = 3 SE +/- 894.92, N = 3 SE +/- 548.31, N = 3 SE +/- 233.28, N = 3 SE +/- 194.61, N = 3 SE +/- 1020.34, N = 3 SE +/- 457.90, N = 3 SE +/- 1088.69, N = 3 SE +/- 517.53, N = 3 88852.0 194837.0 218108.0 239227.0 150797.0 83541.0 123038.0 100961.0 127726.0 96229.2 187285.0 92446.9 213852.0 147770.0 106140.0 89518.2 124043.0 88189.3 85985.3 102435.0
Result Confidence
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: NASNet Mobile EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 40K 80K 120K 160K 200K Min: 85098.3 / Avg: 88851.98 / Max: 91485.1 Min: 192157 / Avg: 194836.67 / Max: 196187 Min: 215543 / Avg: 218108 / Max: 223058 Min: 235037 / Avg: 239226.67 / Max: 243509 Min: 150189 / Avg: 150796.67 / Max: 151900 Min: 79803.3 / Avg: 83541.04 / Max: 88828.7 Min: 122592 / Avg: 123038 / Max: 123846 Min: 100793 / Avg: 100960.67 / Max: 101145 Min: 127593 / Avg: 127725.67 / Max: 127815 Min: 95408.3 / Avg: 96229.23 / Max: 96681.1 Min: 185504 / Avg: 187284.67 / Max: 188663 Min: 91614 / Avg: 92446.87 / Max: 93111.3 Min: 212521 / Avg: 213852.33 / Max: 215554 Min: 147190 / Avg: 147770 / Max: 148866 Min: 105676 / Avg: 106140.33 / Max: 106412 Min: 89280.7 / Avg: 89518.2 / Max: 89904 Min: 122075 / Avg: 124042.67 / Max: 125495 Min: 87277.5 / Avg: 88189.3 / Max: 88719.3 Min: 84090 / Avg: 85985.27 / Max: 87861.2 Min: 101409 / Avg: 102434.67 / Max: 103068
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 200 400 600 800 1000 SE +/- 2.26, N = 3 SE +/- 0.52, N = 3 SE +/- 0.72, N = 3 SE +/- 0.93, N = 3 SE +/- 0.93, N = 3 SE +/- 3.71, N = 3 SE +/- 7.21, N = 3 SE +/- 4.59, N = 3 SE +/- 1.41, N = 3 SE +/- 5.12, N = 3 SE +/- 0.46, N = 3 SE +/- 7.28, N = 3 SE +/- 1.15, N = 3 SE +/- 3.78, N = 3 SE +/- 8.62, N = 3 SE +/- 8.34, N = 15 SE +/- 4.75, N = 3 SE +/- 2.19, N = 3 SE +/- 3.81, N = 3 SE +/- 3.68, N = 3 855.91 418.94 316.48 313.26 573.75 854.03 601.42 734.97 593.00 835.18 346.00 876.16 335.86 562.70 722.39 851.38 710.07 861.61 857.35 768.16 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 150 300 450 600 750 Min: 851.43 / Avg: 855.91 / Max: 858.66 Min: 418.01 / Avg: 418.94 / Max: 419.82 Min: 315.07 / Avg: 316.48 / Max: 317.43 Min: 311.97 / Avg: 313.26 / Max: 315.06 Min: 572.74 / Avg: 573.75 / Max: 575.61 Min: 846.67 / Avg: 854.03 / Max: 858.59 Min: 589.76 / Avg: 601.42 / Max: 614.59 Min: 727.27 / Avg: 734.97 / Max: 743.16 Min: 590.18 / Avg: 593 / Max: 594.5 Min: 826.38 / Avg: 835.18 / Max: 844.1 Min: 345.39 / Avg: 346 / Max: 346.9 Min: 864.6 / Avg: 876.16 / Max: 889.6 Min: 334.12 / Avg: 335.86 / Max: 338.03 Min: 555.16 / Avg: 562.7 / Max: 566.8 Min: 706.02 / Avg: 722.39 / Max: 735.24 Min: 820.21 / Avg: 851.38 / Max: 945 Min: 701.61 / Avg: 710.07 / Max: 718.03 Min: 857.78 / Avg: 861.61 / Max: 865.35 Min: 849.83 / Avg: 857.35 / Max: 862.22 Min: 760.8 / Avg: 768.16 / Max: 772.02 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P 6 12 18 24 30 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.09, N = 9 SE +/- 0.08, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.07, N = 3 SE +/- 0.08, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.12, N = 3 SE +/- 0.06, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 22.07 15.92 8.80 8.65 18.55 23.10 20.06 21.52 20.63 21.72 9.96 23.43 8.39 18.80 21.38 22.96 22.11 22.85 22.28 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P 5 10 15 20 25 Min: 22.01 / Avg: 22.07 / Max: 22.13 Min: 15.8 / Avg: 15.92 / Max: 16.02 Min: 8.46 / Avg: 8.8 / Max: 9.28 Min: 8.5 / Avg: 8.65 / Max: 8.76 Min: 18.51 / Avg: 18.55 / Max: 18.58 Min: 23.03 / Avg: 23.1 / Max: 23.2 Min: 20.04 / Avg: 20.06 / Max: 20.07 Min: 21.49 / Avg: 21.52 / Max: 21.55 Min: 20.56 / Avg: 20.63 / Max: 20.74 Min: 21.69 / Avg: 21.72 / Max: 21.76 Min: 9.95 / Avg: 9.96 / Max: 9.98 Min: 23.32 / Avg: 23.43 / Max: 23.57 Min: 8.24 / Avg: 8.39 / Max: 8.53 Min: 18.74 / Avg: 18.8 / Max: 18.89 Min: 21.34 / Avg: 21.38 / Max: 21.41 Min: 22.73 / Avg: 22.96 / Max: 23.08 Min: 22.05 / Avg: 22.11 / Max: 22.22 Min: 22.78 / Avg: 22.85 / Max: 22.97 Min: 22.25 / Avg: 22.28 / Max: 22.3 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 200K 400K 600K 800K 1000K SE +/- 920.11, N = 3 SE +/- 8602.32, N = 3 SE +/- 6337.53, N = 3 SE +/- 7046.75, N = 3 SE +/- 2819.70, N = 3 SE +/- 40675.14, N = 15 SE +/- 4423.99, N = 3 SE +/- 1164.99, N = 3 SE +/- 1524.48, N = 3 SE +/- 346.34, N = 3 SE +/- 5220.90, N = 8 SE +/- 161.22, N = 3 SE +/- 4574.26, N = 3 SE +/- 9257.15, N = 3 SE +/- 4315.53, N = 3 SE +/- 202.26, N = 3 SE +/- 320.44, N = 3 SE +/- 386.83, N = 3 SE +/- 416.48, N = 3 SE +/- 6259.81, N = 11 328810 574354 456675 469574 640966 674066 673423 283541 590994 335316 506118 310241 464241 627525 787488 284086 297390 298290 358699 712718 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 140K 280K 420K 560K 700K Min: 327023 / Avg: 328810 / Max: 330084 Min: 558593 / Avg: 574353.67 / Max: 588209 Min: 448311 / Avg: 456675.33 / Max: 469105 Min: 461485 / Avg: 469573.67 / Max: 483613 Min: 635510 / Avg: 640965.67 / Max: 644930 Min: 381485 / Avg: 674066.47 / Max: 841490 Min: 664708 / Avg: 673423 / Max: 679104 Min: 282294 / Avg: 283541 / Max: 285869 Min: 588002 / Avg: 590994.33 / Max: 592997 Min: 334741 / Avg: 335316 / Max: 335938 Min: 481898 / Avg: 506117.63 / Max: 523042 Min: 310045 / Avg: 310241.33 / Max: 310561 Min: 459420 / Avg: 464241 / Max: 473385 Min: 609012 / Avg: 627525 / Max: 636971 Min: 778964 / Avg: 787487.67 / Max: 792925 Min: 283684 / Avg: 284086 / Max: 284326 Min: 297028 / Avg: 297390 / Max: 298029 Min: 297519 / Avg: 298290.33 / Max: 298728 Min: 357882 / Avg: 358698.67 / Max: 359249 Min: 685758 / Avg: 712718 / Max: 751042 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P 12 24 36 48 60 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 SE +/- 0.11, N = 3 SE +/- 0.04, N = 3 SE +/- 0.10, N = 3 SE +/- 0.01, N = 3 SE +/- 0.08, N = 3 SE +/- 0.04, N = 3 SE +/- 0.09, N = 3 SE +/- 0.09, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 30.77 21.67 20.03 19.08 28.31 31.94 28.14 30.11 34.75 30.36 23.16 44.71 18.97 29.30 30.60 45.08 48.68 51.19 30.79 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P 10 20 30 40 50 Min: 30.69 / Avg: 30.77 / Max: 30.84 Min: 21.62 / Avg: 21.67 / Max: 21.76 Min: 19.98 / Avg: 20.03 / Max: 20.05 Min: 19.05 / Avg: 19.08 / Max: 19.1 Min: 28.2 / Avg: 28.31 / Max: 28.39 Min: 31.87 / Avg: 31.94 / Max: 31.99 Min: 28.04 / Avg: 28.14 / Max: 28.26 Min: 30.01 / Avg: 30.11 / Max: 30.19 Min: 34.58 / Avg: 34.75 / Max: 34.85 Min: 30.21 / Avg: 30.36 / Max: 30.58 Min: 23.11 / Avg: 23.16 / Max: 23.24 Min: 44.52 / Avg: 44.71 / Max: 44.88 Min: 18.96 / Avg: 18.97 / Max: 18.98 Min: 29.22 / Avg: 29.3 / Max: 29.46 Min: 30.52 / Avg: 30.6 / Max: 30.67 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 Min: 30.69 / Avg: 30.79 / Max: 30.85 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 4M 8M 12M 16M 20M SE +/- 32302.81, N = 3 SE +/- 38085.55, N = 3 SE +/- 114237.77, N = 3 SE +/- 69777.45, N = 3 SE +/- 17504.90, N = 3 SE +/- 31948.05, N = 3 SE +/- 28849.95, N = 3 SE +/- 181654.19, N = 3 SE +/- 92644.45, N = 10 SE +/- 68594.59, N = 3 SE +/- 98081.03, N = 4 SE +/- 39273.11, N = 3 SE +/- 65857.23, N = 3 SE +/- 162466.69, N = 3 SE +/- 36622.92, N = 3 SE +/- 82031.38, N = 3 SE +/- 23882.84, N = 3 SE +/- 8693.64, N = 3 SE +/- 15756.34, N = 3 SE +/- 196361.88, N = 3 15730105.77 11819767.35 6754401.34 8377375.75 13739556.11 15672529.45 12882446.44 12736083.57 10221764.78 15441087.32 7202954.68 16692287.18 8164377.04 10809670.89 13675041.19 16073708.79 17265800.06 18193151.02 15763728.21 12740323.69 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 3M 6M 9M 12M 15M Min: 15674170.83 / Avg: 15730105.77 / Max: 15786071.05 Min: 11764168.15 / Avg: 11819767.35 / Max: 11892656.58 Min: 6580428.23 / Avg: 6754401.34 / Max: 6969648.65 Min: 8238743.75 / Avg: 8377375.75 / Max: 8460568.05 Min: 13706010.75 / Avg: 13739556.11 / Max: 13765006.16 Min: 15611649.68 / Avg: 15672529.45 / Max: 15719770.35 Min: 12828493.76 / Avg: 12882446.44 / Max: 12927136.91 Min: 12401795.36 / Avg: 12736083.57 / Max: 13026448.11 Min: 9589426.86 / Avg: 10221764.78 / Max: 10670115.37 Min: 15342013.8 / Avg: 15441087.32 / Max: 15572806.7 Min: 7034313.05 / Avg: 7202954.68 / Max: 7486487.21 Min: 16641022.42 / Avg: 16692287.18 / Max: 16769456.69 Min: 8077208.27 / Avg: 8164377.04 / Max: 8293475.93 Min: 10514108.1 / Avg: 10809670.89 / Max: 11074363.58 Min: 13605012.44 / Avg: 13675041.19 / Max: 13728648.43 Min: 15946178.31 / Avg: 16073708.79 / Max: 16226857.62 Min: 17223160.56 / Avg: 17265800.06 / Max: 17305763.18 Min: 18175867.8 / Avg: 18193151.02 / Max: 18203437.54 Min: 15739230.05 / Avg: 15763728.21 / Max: 15793143.16 Min: 12436522.18 / Avg: 12740323.69 / Max: 13107752.74 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P 11 22 33 44 55 SE +/- 0.11, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.07, N = 3 SE +/- 0.08, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.09, N = 3 SE +/- 0.04, N = 3 SE +/- 0.24, N = 3 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 SE +/- 0.09, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.16, N = 3 SE +/- 0.06, N = 3 29.97 21.08 19.57 18.66 27.54 31.27 27.59 29.54 34.03 29.74 22.67 43.98 18.53 28.57 29.73 44.54 47.41 49.80 29.99 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 1080p - Video Preset: Slow EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P 10 20 30 40 50 Min: 29.8 / Avg: 29.97 / Max: 30.19 Min: 21.06 / Avg: 21.08 / Max: 21.11 Min: 19.54 / Avg: 19.57 / Max: 19.6 Min: 18.61 / Avg: 18.66 / Max: 18.69 Min: 27.47 / Avg: 27.54 / Max: 27.66 Min: 31.18 / Avg: 31.27 / Max: 31.41 Min: 27.43 / Avg: 27.59 / Max: 27.68 Min: 29.47 / Avg: 29.54 / Max: 29.59 Min: 33.98 / Avg: 34.03 / Max: 34.08 Min: 29.56 / Avg: 29.74 / Max: 29.85 Min: 22.59 / Avg: 22.67 / Max: 22.72 Min: 43.56 / Avg: 43.98 / Max: 44.38 Min: 18.5 / Avg: 18.53 / Max: 18.57 Min: 28.43 / Avg: 28.57 / Max: 28.66 Min: 29.56 / Avg: 29.73 / Max: 29.85 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 Min: 29.88 / Avg: 29.99 / Max: 30.06 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 150K 300K 450K 600K 750K SE +/- 310.98, N = 3 SE +/- 1413.92, N = 3 SE +/- 1554.64, N = 3 SE +/- 1807.12, N = 3 SE +/- 5123.67, N = 15 SE +/- 705.84, N = 3 SE +/- 10655.38, N = 3 SE +/- 2603.10, N = 10 SE +/- 6470.90, N = 15 SE +/- 1199.71, N = 3 SE +/- 827.11, N = 3 SE +/- 205.06, N = 3 SE +/- 3588.14, N = 3 SE +/- 7847.93, N = 3 SE +/- 9550.05, N = 3 SE +/- 410.21, N = 3 SE +/- 693.28, N = 3 SE +/- 624.03, N = 3 SE +/- 1228.44, N = 3 SE +/- 9089.41, N = 3 318064 535050 425849 433814 627896 367451 654062 276010 580827 321871 463786 305816 422947 585939 717525 275661 289090 307654 345292 686461 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 120K 240K 360K 480K 600K Min: 317495 / Avg: 318064 / Max: 318566 Min: 532574 / Avg: 535050.33 / Max: 537471 Min: 423929 / Avg: 425849 / Max: 428927 Min: 431309 / Avg: 433814.33 / Max: 437323 Min: 603579 / Avg: 627896.27 / Max: 685131 Min: 366463 / Avg: 367450.67 / Max: 368818 Min: 632768 / Avg: 654062 / Max: 665441 Min: 269185 / Avg: 276009.6 / Max: 288606 Min: 542172 / Avg: 580827.13 / Max: 616282 Min: 320633 / Avg: 321871 / Max: 324270 Min: 462912 / Avg: 463785.67 / Max: 465439 Min: 305412 / Avg: 305816.33 / Max: 306078 Min: 418463 / Avg: 422946.67 / Max: 430041 Min: 576271 / Avg: 585938.67 / Max: 601481 Min: 705450 / Avg: 717525.33 / Max: 736379 Min: 274953 / Avg: 275661.33 / Max: 276374 Min: 287733 / Avg: 289089.67 / Max: 290016 Min: 306827 / Avg: 307654 / Max: 308877 Min: 343235 / Avg: 345292 / Max: 347484 Min: 674470 / Avg: 686460.67 / Max: 704289 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 5 10 15 20 25 SE +/- 0.010, N = 3 SE +/- 0.080, N = 3 SE +/- 0.012, N = 3 SE +/- 0.062, N = 3 SE +/- 0.093, N = 3 SE +/- 0.023, N = 3 SE +/- 0.011, N = 3 SE +/- 0.423, N = 15 SE +/- 0.215, N = 3 SE +/- 0.003, N = 3 SE +/- 0.028, N = 3 SE +/- 0.038, N = 3 SE +/- 0.098, N = 3 SE +/- 0.225, N = 15 SE +/- 0.033, N = 3 SE +/- 0.008, N = 3 SE +/- 0.008, N = 3 SE +/- 0.018, N = 3 SE +/- 0.243, N = 12 SE +/- 0.078, N = 3 12.631 15.471 20.129 19.044 13.495 12.672 13.752 14.081 17.374 12.750 18.899 12.138 18.871 14.751 13.439 13.241 7.859 11.090 12.391 14.781 1. (CXX) g++ options: -fopenmp -O3
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Smallpt 1.0 Global Illumination Renderer; 128 Samples EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 5 10 15 20 25 Min: 12.62 / Avg: 12.63 / Max: 12.65 Min: 15.31 / Avg: 15.47 / Max: 15.56 Min: 20.11 / Avg: 20.13 / Max: 20.15 Min: 18.92 / Avg: 19.04 / Max: 19.11 Min: 13.39 / Avg: 13.5 / Max: 13.68 Min: 12.64 / Avg: 12.67 / Max: 12.72 Min: 13.74 / Avg: 13.75 / Max: 13.77 Min: 10.76 / Avg: 14.08 / Max: 14.97 Min: 16.95 / Avg: 17.37 / Max: 17.59 Min: 12.74 / Avg: 12.75 / Max: 12.75 Min: 18.84 / Avg: 18.9 / Max: 18.93 Min: 12.06 / Avg: 12.14 / Max: 12.18 Min: 18.73 / Avg: 18.87 / Max: 19.06 Min: 12.55 / Avg: 14.75 / Max: 15.22 Min: 13.4 / Avg: 13.44 / Max: 13.5 Min: 13.23 / Avg: 13.24 / Max: 13.26 Min: 7.85 / Avg: 7.86 / Max: 7.87 Min: 11.05 / Avg: 11.09 / Max: 11.12 Min: 9.72 / Avg: 12.39 / Max: 12.67 Min: 14.69 / Avg: 14.78 / Max: 14.94 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P 20 40 60 80 100 SE +/- 0.09, N = 3 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 SE +/- 0.01, N = 3 SE +/- 0.17, N = 3 SE +/- 0.33, N = 3 SE +/- 0.16, N = 3 SE +/- 0.19, N = 3 SE +/- 0.27, N = 3 SE +/- 0.20, N = 3 SE +/- 0.09, N = 3 SE +/- 0.21, N = 3 SE +/- 0.10, N = 3 SE +/- 0.21, N = 3 SE +/- 0.05, N = 3 SE +/- 0.12, N = 3 SE +/- 0.41, N = 3 SE +/- 0.34, N = 3 SE +/- 0.21, N = 3 62.73 46.93 44.95 43.46 61.84 66.17 60.11 61.32 67.24 61.50 52.60 96.32 43.20 62.00 65.37 98.47 107.99 109.17 62.57 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P 20 40 60 80 100 Min: 62.6 / Avg: 62.73 / Max: 62.91 Min: 46.83 / Avg: 46.93 / Max: 46.99 Min: 44.86 / Avg: 44.95 / Max: 45.09 Min: 43.44 / Avg: 43.46 / Max: 43.48 Min: 61.65 / Avg: 61.84 / Max: 62.19 Min: 65.63 / Avg: 66.17 / Max: 66.76 Min: 59.79 / Avg: 60.11 / Max: 60.31 Min: 60.96 / Avg: 61.32 / Max: 61.6 Min: 66.7 / Avg: 67.24 / Max: 67.55 Min: 61.15 / Avg: 61.5 / Max: 61.83 Min: 52.46 / Avg: 52.6 / Max: 52.77 Min: 96.05 / Avg: 96.32 / Max: 96.73 Min: 43.05 / Avg: 43.2 / Max: 43.38 Min: 61.62 / Avg: 62 / Max: 62.36 Min: 65.28 / Avg: 65.37 / Max: 65.44 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 Min: 62.36 / Avg: 62.57 / Max: 62.98 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 40 80 120 160 200 SE +/- 2.18, N = 3 SE +/- 1.66, N = 3 SE +/- 1.00, N = 3 SE +/- 0.38, N = 3 SE +/- 1.76, N = 3 SE +/- 2.67, N = 3 SE +/- 0.99, N = 3 SE +/- 1.38, N = 3 SE +/- 2.17, N = 3 SE +/- 1.97, N = 3 SE +/- 0.70, N = 3 SE +/- 1.03, N = 3 SE +/- 0.41, N = 3 SE +/- 1.17, N = 3 SE +/- 2.39, N = 3 SE +/- 2.06, N = 3 SE +/- 2.22, N = 3 SE +/- 1.79, N = 3 SE +/- 1.50, N = 3 SE +/- 1.33, N = 3 144.44 105.52 77.48 71.66 118.48 159.20 137.58 144.57 158.53 143.59 89.29 144.71 71.60 126.75 150.81 148.99 140.35 141.18 145.72 177.12 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 30 60 90 120 150 Min: 140.1 / Avg: 144.44 / Max: 146.97 Min: 102.21 / Avg: 105.52 / Max: 107.38 Min: 75.5 / Avg: 77.48 / Max: 78.71 Min: 70.9 / Avg: 71.66 / Max: 72.05 Min: 114.97 / Avg: 118.48 / Max: 120.28 Min: 153.88 / Avg: 159.2 / Max: 162.17 Min: 135.61 / Avg: 137.58 / Max: 138.59 Min: 141.86 / Avg: 144.57 / Max: 146.42 Min: 154.64 / Avg: 158.53 / Max: 162.16 Min: 140.36 / Avg: 143.59 / Max: 147.17 Min: 88.14 / Avg: 89.29 / Max: 90.57 Min: 142.68 / Avg: 144.71 / Max: 145.98 Min: 70.79 / Avg: 71.6 / Max: 72.07 Min: 124.48 / Avg: 126.75 / Max: 128.36 Min: 146.07 / Avg: 150.81 / Max: 153.76 Min: 145.83 / Avg: 148.99 / Max: 152.86 Min: 135.93 / Avg: 140.35 / Max: 143 Min: 137.66 / Avg: 141.18 / Max: 143.49 Min: 142.97 / Avg: 145.72 / Max: 148.13 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P 40 80 120 160 200 SE +/- 0.21, N = 3 SE +/- 0.33, N = 3 SE +/- 0.15, N = 3 SE +/- 0.36, N = 3 SE +/- 0.51, N = 3 SE +/- 0.28, N = 3 SE +/- 0.21, N = 3 SE +/- 0.40, N = 3 SE +/- 0.51, N = 3 SE +/- 0.04, N = 3 SE +/- 0.59, N = 3 SE +/- 1.18, N = 3 SE +/- 0.19, N = 3 SE +/- 0.22, N = 3 SE +/- 0.17, N = 3 SE +/- 0.42, N = 3 SE +/- 1.40, N = 3 SE +/- 1.31, N = 3 SE +/- 0.17, N = 3 118.13 86.94 79.82 78.65 107.66 124.64 109.29 113.40 104.22 115.55 93.41 170.06 77.76 105.75 117.43 171.94 189.55 191.27 118.75 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P 40 80 120 160 200 Min: 117.77 / Avg: 118.13 / Max: 118.5 Min: 86.56 / Avg: 86.94 / Max: 87.6 Min: 79.53 / Avg: 79.82 / Max: 80.04 Min: 78.25 / Avg: 78.65 / Max: 79.37 Min: 106.77 / Avg: 107.66 / Max: 108.55 Min: 124.22 / Avg: 124.64 / Max: 125.16 Min: 108.92 / Avg: 109.29 / Max: 109.66 Min: 112.95 / Avg: 113.4 / Max: 114.21 Min: 103.22 / Avg: 104.22 / Max: 104.87 Min: 115.5 / Avg: 115.55 / Max: 115.63 Min: 92.24 / Avg: 93.41 / Max: 94.08 Min: 167.84 / Avg: 170.06 / Max: 171.84 Min: 77.38 / Avg: 77.76 / Max: 77.98 Min: 105.49 / Avg: 105.75 / Max: 106.19 Min: 117.12 / Avg: 117.43 / Max: 117.72 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 Min: 118.41 / Avg: 118.75 / Max: 118.92 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 200 400 600 800 1000 SE +/- 0.51, N = 3 SE +/- 0.96, N = 3 SE +/- 0.17, N = 3 SE +/- 1.03, N = 3 SE +/- 1.22, N = 3 SE +/- 0.23, N = 3 SE +/- 0.04, N = 3 SE +/- 1.30, N = 3 SE +/- 0.53, N = 3 SE +/- 0.56, N = 3 SE +/- 0.38, N = 3 SE +/- 0.94, N = 3 SE +/- 0.74, N = 3 SE +/- 0.52, N = 3 SE +/- 0.30, N = 3 SE +/- 0.40, N = 3 SE +/- 0.42, N = 3 SE +/- 1.72, N = 3 SE +/- 0.10, N = 3 SE +/- 0.34, N = 3 833.75 600.90 402.93 442.25 695.56 836.01 707.49 792.81 644.30 823.81 435.36 872.77 442.13 649.31 739.98 858.84 983.70 986.80 840.30 746.29 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
Result Confidence
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: MEMFD EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 200 400 600 800 1000 Min: 832.87 / Avg: 833.75 / Max: 834.62 Min: 599.4 / Avg: 600.9 / Max: 602.68 Min: 402.6 / Avg: 402.93 / Max: 403.13 Min: 440.2 / Avg: 442.25 / Max: 443.38 Min: 693.24 / Avg: 695.56 / Max: 697.37 Min: 835.58 / Avg: 836.01 / Max: 836.35 Min: 707.4 / Avg: 707.49 / Max: 707.54 Min: 790.21 / Avg: 792.81 / Max: 794.15 Min: 643.63 / Avg: 644.3 / Max: 645.36 Min: 823.23 / Avg: 823.81 / Max: 824.93 Min: 434.92 / Avg: 435.36 / Max: 436.11 Min: 870.9 / Avg: 872.77 / Max: 873.71 Min: 441.37 / Avg: 442.13 / Max: 443.6 Min: 648.31 / Avg: 649.31 / Max: 650.07 Min: 739.39 / Avg: 739.98 / Max: 740.39 Min: 858.1 / Avg: 858.84 / Max: 859.49 Min: 983.26 / Avg: 983.7 / Max: 984.54 Min: 983.37 / Avg: 986.8 / Max: 988.57 Min: 840.11 / Avg: 840.3 / Max: 840.42 Min: 745.85 / Avg: 746.29 / Max: 746.96 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 1200 2400 3600 4800 6000 SE +/- 24.25, N = 3 SE +/- 24.67, N = 3 SE +/- 21.26, N = 15 SE +/- 21.10, N = 15 SE +/- 7.84, N = 15 SE +/- 11.78, N = 15 SE +/- 22.72, N = 3 SE +/- 56.08, N = 15 SE +/- 0.00, N = 3 SE +/- 6.40, N = 15 SE +/- 25.93, N = 15 SE +/- 17.18, N = 15 SE +/- 15.38, N = 15 SE +/- 34.25, N = 3 SE +/- 0.00, N = 3 SE +/- 50.20, N = 2 SE +/- 71.03, N = 3 SE +/- 95.65, N = 3 SE +/- 9.17, N = 15 SE +/- 27.80, N = 3 4389.10 2735.95 2350.73 2287.55 2859.17 4394.11 4249.01 4815.11 4754.57 4355.46 2552.56 4853.63 2210.52 3974.56 4294.45 5170.51 5291.74 5400.50 4413.35 4726.77 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 900 1800 2700 3600 4500 Min: 4364.85 / Avg: 4389.1 / Max: 4437.6 Min: 2689.45 / Avg: 2735.95 / Max: 2773.5 Min: 2130.05 / Avg: 2350.73 / Max: 2511.85 Min: 2182.43 / Avg: 2287.55 / Max: 2377.29 Min: 2802.69 / Avg: 2859.17 / Max: 2894.09 Min: 4294.45 / Avg: 4394.11 / Max: 4437.6 Min: 4226.29 / Avg: 4249.01 / Max: 4294.45 Min: 4512.81 / Avg: 4815.11 / Max: 5220.71 Min: 4754.57 / Avg: 4754.57 / Max: 4754.57 Min: 4294.45 / Avg: 4355.46 / Max: 4364.85 Min: 2315.27 / Avg: 2552.56 / Max: 2689.45 Min: 4754.57 / Avg: 4853.63 / Max: 5023.7 Min: 2080.12 / Avg: 2210.52 / Max: 2256.41 Min: 3915.53 / Avg: 3974.56 / Max: 4034.18 Min: 4294.45 / Avg: 4294.45 / Max: 4294.45 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 Min: 4364.85 / Avg: 4413.35 / Max: 4437.6 Min: 4671.16 / Avg: 4726.77 / Max: 4754.57 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 1.3392 2.6784 4.0176 5.3568 6.696 SE +/- 0.005, N = 3 SE +/- 0.010, N = 3 SE +/- 0.015, N = 3 SE +/- 0.032, N = 3 SE +/- 0.006, N = 3 SE +/- 0.020, N = 3 SE +/- 0.018, N = 3 SE +/- 0.013, N = 3 SE +/- 0.008, N = 3 SE +/- 0.023, N = 3 SE +/- 0.015, N = 3 SE +/- 0.041, N = 15 SE +/- 0.017, N = 3 SE +/- 0.006, N = 3 SE +/- 0.005, N = 3 SE +/- 0.043, N = 3 SE +/- 0.032, N = 3 SE +/- 0.042, N = 4 SE +/- 0.015, N = 3 SE +/- 0.014, N = 3 2.486 4.428 5.326 5.952 3.540 2.438 2.981 2.607 2.907 2.554 4.820 2.805 5.917 3.292 2.699 2.891 3.190 3.216 2.503 2.612
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Darktable 3.2.1 Test: Masskrug - Acceleration: CPU-only EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 2 4 6 8 10 Min: 2.48 / Avg: 2.49 / Max: 2.5 Min: 4.42 / Avg: 4.43 / Max: 4.45 Min: 5.3 / Avg: 5.33 / Max: 5.35 Min: 5.9 / Avg: 5.95 / Max: 6.01 Min: 3.53 / Avg: 3.54 / Max: 3.55 Min: 2.4 / Avg: 2.44 / Max: 2.47 Min: 2.95 / Avg: 2.98 / Max: 3.01 Min: 2.58 / Avg: 2.61 / Max: 2.63 Min: 2.89 / Avg: 2.91 / Max: 2.92 Min: 2.52 / Avg: 2.55 / Max: 2.6 Min: 4.8 / Avg: 4.82 / Max: 4.85 Min: 2.39 / Avg: 2.8 / Max: 2.98 Min: 5.88 / Avg: 5.92 / Max: 5.94 Min: 3.28 / Avg: 3.29 / Max: 3.3 Min: 2.69 / Avg: 2.7 / Max: 2.71 Min: 2.82 / Avg: 2.89 / Max: 2.97 Min: 3.13 / Avg: 3.19 / Max: 3.24 Min: 3.11 / Avg: 3.22 / Max: 3.31 Min: 2.47 / Avg: 2.5 / Max: 2.52 Min: 2.59 / Avg: 2.61 / Max: 2.63
PostgreSQL pgbench This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 250 - Mode: Read Write EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 8K 16K 24K 32K 40K SE +/- 45.88, N = 3 SE +/- 17.13, N = 3 SE +/- 68.03, N = 3 SE +/- 24.14, N = 3 SE +/- 98.09, N = 3 SE +/- 187.07, N = 3 SE +/- 40.52, N = 3 SE +/- 9.77, N = 3 SE +/- 120.60, N = 3 SE +/- 257.54, N = 3 SE +/- 41.67, N = 3 SE +/- 75.81, N = 3 SE +/- 70.19, N = 3 SE +/- 133.31, N = 3 SE +/- 54.68, N = 3 SE +/- 343.06, N = 3 SE +/- 92.56, N = 3 SE +/- 52.77, N = 3 SE +/- 119.40, N = 3 SE +/- 13.41, N = 3 36967 22972 16021 16485 29493 38540 32751 32539 23954 33447 17707 36572 15804 24697 33686 35249 36550 34785 36999 34826 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 7K 14K 21K 28K 35K Min: 36896.39 / Avg: 36967.35 / Max: 37053.21 Min: 22941.92 / Avg: 22971.81 / Max: 23001.27 Min: 15905.97 / Avg: 16020.62 / Max: 16141.4 Min: 16444.32 / Avg: 16485.32 / Max: 16527.91 Min: 29298.25 / Avg: 29493.13 / Max: 29610.16 Min: 38166.46 / Avg: 38540.36 / Max: 38739.15 Min: 32695.26 / Avg: 32751.07 / Max: 32829.86 Min: 32528.13 / Avg: 32539.44 / Max: 32558.9 Min: 23803.1 / Avg: 23954.31 / Max: 24192.65 Min: 32935.76 / Avg: 33446.85 / Max: 33757.82 Min: 17626.81 / Avg: 17707.46 / Max: 17765.95 Min: 36488.4 / Avg: 36572 / Max: 36723.35 Min: 15702.99 / Avg: 15804.25 / Max: 15939.08 Min: 24473.27 / Avg: 24696.63 / Max: 24934.4 Min: 33587.24 / Avg: 33686.48 / Max: 33775.91 Min: 34574.19 / Avg: 35248.66 / Max: 35694.91 Min: 36387.68 / Avg: 36550.04 / Max: 36708.24 Min: 34688.51 / Avg: 34784.98 / Max: 34870.28 Min: 36803.87 / Avg: 36998.77 / Max: 37215.73 Min: 34805.18 / Avg: 34825.59 / Max: 34850.86 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average Latency EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 4 8 12 16 20 SE +/- 0.009, N = 3 SE +/- 0.008, N = 3 SE +/- 0.066, N = 3 SE +/- 0.022, N = 3 SE +/- 0.028, N = 3 SE +/- 0.032, N = 3 SE +/- 0.010, N = 3 SE +/- 0.003, N = 3 SE +/- 0.052, N = 3 SE +/- 0.058, N = 3 SE +/- 0.034, N = 3 SE +/- 0.014, N = 3 SE +/- 0.070, N = 3 SE +/- 0.055, N = 3 SE +/- 0.012, N = 3 SE +/- 0.069, N = 3 SE +/- 0.020, N = 3 SE +/- 0.011, N = 3 SE +/- 0.021, N = 3 SE +/- 0.003, N = 3 6.772 10.892 15.614 15.173 8.484 6.497 7.643 7.695 10.444 7.488 14.125 6.851 15.827 10.131 7.430 7.109 6.865 7.209 6.767 7.187 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 4 8 12 16 20 Min: 6.76 / Avg: 6.77 / Max: 6.79 Min: 10.88 / Avg: 10.89 / Max: 10.91 Min: 15.5 / Avg: 15.61 / Max: 15.73 Min: 15.13 / Avg: 15.17 / Max: 15.21 Min: 8.45 / Avg: 8.48 / Max: 8.54 Min: 6.46 / Avg: 6.5 / Max: 6.56 Min: 7.62 / Avg: 7.64 / Max: 7.66 Min: 7.69 / Avg: 7.7 / Max: 7.7 Min: 10.34 / Avg: 10.44 / Max: 10.51 Min: 7.42 / Avg: 7.49 / Max: 7.6 Min: 14.08 / Avg: 14.13 / Max: 14.19 Min: 6.82 / Avg: 6.85 / Max: 6.87 Min: 15.69 / Avg: 15.83 / Max: 15.93 Min: 10.03 / Avg: 10.13 / Max: 10.22 Min: 7.41 / Avg: 7.43 / Max: 7.45 Min: 7.02 / Avg: 7.11 / Max: 7.25 Min: 6.83 / Avg: 6.86 / Max: 6.9 Min: 7.19 / Avg: 7.21 / Max: 7.23 Min: 6.73 / Avg: 6.77 / Max: 6.8 Min: 7.18 / Avg: 7.19 / Max: 7.19 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 1300 2600 3900 5200 6500 SE +/- 7.19, N = 3 SE +/- 70.26, N = 3 SE +/- 147.42, N = 3 SE +/- 76.22, N = 3 SE +/- 15.72, N = 3 SE +/- 2.64, N = 3 SE +/- 142.43, N = 4 SE +/- 117.70, N = 3 SE +/- 2.32, N = 3 SE +/- 6.91, N = 3 SE +/- 30.75, N = 3 SE +/- 7.17, N = 3 SE +/- 3.23, N = 3 SE +/- 166.01, N = 3 SE +/- 13.87, N = 3 SE +/- 12.21, N = 3 SE +/- 22.10, N = 3 SE +/- 5.26, N = 3 SE +/- 2.65, N = 3 SE +/- 31.25, N = 3 5045.53 2754.89 2630.66 2412.70 2830.80 5052.50 4910.75 5859.29 5445.37 5047.53 2868.76 5616.08 2442.73 4506.35 5113.55 5876.05 5610.49 5793.43 5055.50 5739.99 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 1000 2000 3000 4000 5000 Min: 5035.57 / Avg: 5045.53 / Max: 5059.5 Min: 2614.63 / Avg: 2754.89 / Max: 2832.51 Min: 2351.05 / Avg: 2630.66 / Max: 2851.47 Min: 2261.2 / Avg: 2412.7 / Max: 2502.99 Min: 2808.24 / Avg: 2830.8 / Max: 2861.04 Min: 5047.51 / Avg: 5052.5 / Max: 5056.49 Min: 4484.31 / Avg: 4910.75 / Max: 5067.52 Min: 5623.89 / Avg: 5859.29 / Max: 5979.08 Min: 5440.74 / Avg: 5445.37 / Max: 5447.69 Min: 5035.57 / Avg: 5047.53 / Max: 5059.5 Min: 2832.51 / Avg: 2868.76 / Max: 2929.91 Min: 5602.93 / Avg: 5616.08 / Max: 5627.6 Min: 2437.13 / Avg: 2442.73 / Max: 2448.33 Min: 4184.77 / Avg: 4506.35 / Max: 4738.71 Min: 5095.81 / Avg: 5113.55 / Max: 5140.9 Min: 5862.52 / Avg: 5876.05 / Max: 5900.41 Min: 5566.93 / Avg: 5610.49 / Max: 5638.78 Min: 5788.17 / Avg: 5793.43 / Max: 5803.95 Min: 5050.5 / Avg: 5055.5 / Max: 5059.5 Min: 5685.18 / Avg: 5739.99 / Max: 5793.42 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 5 10 15 20 25 SE +/- 0.056, N = 3 SE +/- 0.329, N = 3 SE +/- 0.057, N = 3 SE +/- 0.135, N = 3 SE +/- 0.173, N = 15 SE +/- 0.052, N = 3 SE +/- 0.266, N = 15 SE +/- 0.012, N = 3 SE +/- 0.009, N = 3 SE +/- 0.026, N = 3 SE +/- 0.226, N = 15 SE +/- 0.119, N = 15 SE +/- 0.038, N = 3 SE +/- 0.035, N = 3 SE +/- 0.017, N = 3 SE +/- 0.011, N = 3 SE +/- 0.272, N = 15 SE +/- 0.023, N = 3 SE +/- 0.012, N = 3 SE +/- 0.111, N = 3 14.693 20.041 19.211 18.435 18.764 14.658 19.380 10.974 14.211 14.798 21.323 12.806 15.589 16.977 15.179 9.245 12.012 8.985 14.680 14.571 1. (CXX) g++ options: -O2 -lOpenCL
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP Streamcluster EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 5 10 15 20 25 Min: 14.61 / Avg: 14.69 / Max: 14.8 Min: 19.54 / Avg: 20.04 / Max: 20.66 Min: 19.14 / Avg: 19.21 / Max: 19.33 Min: 18.26 / Avg: 18.44 / Max: 18.7 Min: 18.11 / Avg: 18.76 / Max: 19.48 Min: 14.57 / Avg: 14.66 / Max: 14.75 Min: 18.7 / Avg: 19.38 / Max: 22.24 Min: 10.95 / Avg: 10.97 / Max: 10.99 Min: 14.2 / Avg: 14.21 / Max: 14.23 Min: 14.76 / Avg: 14.8 / Max: 14.85 Min: 19.39 / Avg: 21.32 / Max: 22.56 Min: 12.04 / Avg: 12.81 / Max: 13.6 Min: 15.51 / Avg: 15.59 / Max: 15.64 Min: 16.93 / Avg: 16.98 / Max: 17.05 Min: 15.15 / Avg: 15.18 / Max: 15.21 Min: 9.23 / Avg: 9.25 / Max: 9.27 Min: 10.44 / Avg: 12.01 / Max: 13.11 Min: 8.94 / Avg: 8.98 / Max: 9.01 Min: 14.66 / Avg: 14.68 / Max: 14.7 Min: 14.41 / Avg: 14.57 / Max: 14.78 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 60 120 180 240 300 SE +/- 0.62, N = 3 SE +/- 3.20, N = 3 SE +/- 0.26, N = 3 SE +/- 1.26, N = 3 SE +/- 2.12, N = 3 SE +/- 0.95, N = 3 SE +/- 0.93, N = 3 SE +/- 0.34, N = 3 SE +/- 0.51, N = 3 SE +/- 1.02, N = 3 SE +/- 1.11, N = 3 SE +/- 2.07, N = 3 SE +/- 0.29, N = 3 SE +/- 0.30, N = 3 SE +/- 1.03, N = 3 SE +/- 0.62, N = 3 SE +/- 0.38, N = 3 SE +/- 0.45, N = 3 SE +/- 0.63, N = 3 SE +/- 0.92, N = 3 258.33 225.57 271.93 255.55 245.55 267.59 256.78 125.68 289.84 263.27 281.48 263.36 197.39 265.82 263.94 267.49 269.74 266.92 273.56 287.93 1. (CC) gcc options: -lm
Result Confidence
OpenBenchmarking.org Mflops, More Is Better SciMark 2.0 Computational Test: Fast Fourier Transform EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 50 100 150 200 250 Min: 257.32 / Avg: 258.33 / Max: 259.45 Min: 220.35 / Avg: 225.57 / Max: 231.38 Min: 271.61 / Avg: 271.93 / Max: 272.45 Min: 254.12 / Avg: 255.55 / Max: 258.06 Min: 243.33 / Avg: 245.55 / Max: 249.8 Min: 265.75 / Avg: 267.59 / Max: 268.88 Min: 255.43 / Avg: 256.78 / Max: 258.56 Min: 125.2 / Avg: 125.68 / Max: 126.33 Min: 289.05 / Avg: 289.84 / Max: 290.78 Min: 261.23 / Avg: 263.27 / Max: 264.46 Min: 280 / Avg: 281.48 / Max: 283.66 Min: 259.32 / Avg: 263.36 / Max: 266.17 Min: 196.97 / Avg: 197.39 / Max: 197.94 Min: 265.45 / Avg: 265.82 / Max: 266.42 Min: 261.91 / Avg: 263.94 / Max: 265.28 Min: 266.28 / Avg: 267.49 / Max: 268.29 Min: 268.99 / Avg: 269.74 / Max: 270.17 Min: 266.17 / Avg: 266.92 / Max: 267.72 Min: 272.31 / Avg: 273.56 / Max: 274.3 Min: 287 / Avg: 287.93 / Max: 289.76 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 10 20 30 40 50 SE +/- 0.84, N = 12 SE +/- 0.21, N = 3 SE +/- 0.35, N = 3 SE +/- 0.15, N = 15 SE +/- 0.14, N = 3 SE +/- 0.23, N = 8 SE +/- 0.32, N = 15 SE +/- 0.93, N = 3 SE +/- 0.18, N = 10 SE +/- 0.32, N = 3 SE +/- 0.30, N = 3 SE +/- 0.37, N = 3 SE +/- 0.19, N = 4 SE +/- 0.25, N = 3 SE +/- 0.03, N = 3 SE +/- 0.40, N = 3 SE +/- 0.62, N = 3 SE +/- 0.84, N = 3 SE +/- 0.29, N = 3 SE +/- 0.07, N = 3 24.30 21.86 22.35 22.73 19.24 22.30 26.52 24.85 20.04 22.38 20.29 25.88 23.35 22.01 20.50 27.78 44.29 31.74 22.04 21.73 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: googlenet EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 9 18 27 36 45 Min: 21.5 / Avg: 24.3 / Max: 29.46 Min: 21.52 / Avg: 21.86 / Max: 22.24 Min: 21.78 / Avg: 22.35 / Max: 23 Min: 21.95 / Avg: 22.73 / Max: 23.78 Min: 19.1 / Avg: 19.24 / Max: 19.52 Min: 21.14 / Avg: 22.3 / Max: 23.26 Min: 24.47 / Avg: 26.52 / Max: 28.49 Min: 23.42 / Avg: 24.85 / Max: 26.6 Min: 18.68 / Avg: 20.04 / Max: 20.7 Min: 22.05 / Avg: 22.38 / Max: 23.01 Min: 19.96 / Avg: 20.29 / Max: 20.89 Min: 25.16 / Avg: 25.88 / Max: 26.41 Min: 22.8 / Avg: 23.35 / Max: 23.65 Min: 21.51 / Avg: 22.01 / Max: 22.31 Min: 20.47 / Avg: 20.5 / Max: 20.55 Min: 27.05 / Avg: 27.78 / Max: 28.44 Min: 43.47 / Avg: 44.29 / Max: 45.5 Min: 30.65 / Avg: 31.74 / Max: 33.39 Min: 21.47 / Avg: 22.04 / Max: 22.39 Min: 21.64 / Avg: 21.73 / Max: 21.86 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P 11 22 33 44 55 SE +/- 0.06, N = 3 SE +/- 0.10, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.10, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.11, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.00, N = 3 SE +/- 0.07, N = 3 SE +/- 0.08, N = 3 SE +/- 0.12, N = 3 SE +/- 0.10, N = 3 SE +/- 0.16, N = 3 SE +/- 0.07, N = 3 42.56 28.30 22.38 21.75 34.46 45.97 31.17 40.73 38.66 41.60 25.63 46.27 21.55 35.22 33.75 46.23 48.34 48.99 42.87 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P 10 20 30 40 50 Min: 42.44 / Avg: 42.56 / Max: 42.66 Min: 28.15 / Avg: 28.3 / Max: 28.48 Min: 22.34 / Avg: 22.38 / Max: 22.41 Min: 21.71 / Avg: 21.75 / Max: 21.78 Min: 34.38 / Avg: 34.46 / Max: 34.56 Min: 45.92 / Avg: 45.97 / Max: 46.07 Min: 30.99 / Avg: 31.17 / Max: 31.33 Min: 40.64 / Avg: 40.73 / Max: 40.82 Min: 38.6 / Avg: 38.66 / Max: 38.77 Min: 41.4 / Avg: 41.6 / Max: 41.77 Min: 25.59 / Avg: 25.63 / Max: 25.68 Min: 46.19 / Avg: 46.27 / Max: 46.35 Min: 21.55 / Avg: 21.55 / Max: 21.56 Min: 35.08 / Avg: 35.22 / Max: 35.32 Min: 33.59 / Avg: 33.75 / Max: 33.87 Min: 45.98 / Avg: 46.23 / Max: 46.37 Min: 48.14 / Avg: 48.34 / Max: 48.48 Min: 48.71 / Avg: 48.99 / Max: 49.27 Min: 42.73 / Avg: 42.87 / Max: 42.94 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 1100 2200 3300 4400 5500 SE +/- 1.96, N = 3 SE +/- 30.67, N = 15 SE +/- 67.60, N = 15 SE +/- 11.13, N = 3 SE +/- 3.21, N = 3 SE +/- 2.17, N = 3 SE +/- 28.11, N = 15 SE +/- 28.28, N = 3 SE +/- 12.56, N = 3 SE +/- 0.54, N = 3 SE +/- 37.28, N = 15 SE +/- 0.85, N = 3 SE +/- 31.33, N = 5 SE +/- 38.78, N = 3 SE +/- 7.59, N = 3 SE +/- 3.26, N = 3 SE +/- 15.31, N = 3 SE +/- 5.99, N = 3 SE +/- 0.54, N = 3 SE +/- 0.00, N = 3 3726.03 2265.27 3091.42 2330.58 2431.57 3724.95 3504.37 4424.90 5134.77 3722.77 3174.57 4345.56 2379.01 4014.66 3845.65 4533.09 4420.44 4522.41 3724.95 4465.51 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 900 1800 2700 3600 4500 Min: 3722.23 / Avg: 3726.03 / Max: 3728.75 Min: 2038.97 / Avg: 2265.27 / Max: 2480.65 Min: 2488.37 / Avg: 3091.42 / Max: 3413.54 Min: 2312.76 / Avg: 2330.58 / Max: 2351.05 Min: 2426.02 / Avg: 2431.57 / Max: 2437.13 Min: 3720.61 / Avg: 3724.95 / Max: 3727.12 Min: 3304.11 / Avg: 3504.37 / Max: 3672.5 Min: 4385.07 / Avg: 4424.9 / Max: 4479.6 Min: 5114.16 / Avg: 5134.77 / Max: 5157.5 Min: 3722.23 / Avg: 3722.77 / Max: 3723.86 Min: 2821.26 / Avg: 3174.57 / Max: 3365 Min: 4344.08 / Avg: 4345.56 / Max: 4347.04 Min: 2254.02 / Avg: 2379.01 / Max: 2415.02 Min: 3937.24 / Avg: 4014.66 / Max: 4057.23 Min: 3831.02 / Avg: 3845.65 / Max: 3856.45 Min: 4527.2 / Avg: 4533.09 / Max: 4538.45 Min: 4399.79 / Avg: 4420.44 / Max: 4450.35 Min: 4510.42 / Avg: 4522.41 / Max: 4528.4 Min: 3723.86 / Avg: 3724.95 / Max: 3725.49 Min: 4465.51 / Avg: 4465.51 / Max: 4465.51 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P 6 12 18 24 30 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.09, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 25.35 16.21 12.91 12.35 18.87 27.20 18.33 24.54 23.38 24.63 14.74 26.65 12.25 19.83 19.93 27.11 27.03 27.55 25.35 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: Very Fast EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P 6 12 18 24 30 Min: 25.25 / Avg: 25.35 / Max: 25.42 Min: 16.17 / Avg: 16.21 / Max: 16.27 Min: 12.89 / Avg: 12.91 / Max: 12.95 Min: 12.33 / Avg: 12.35 / Max: 12.39 Min: 18.83 / Avg: 18.87 / Max: 18.89 Min: 27.03 / Avg: 27.2 / Max: 27.32 Min: 18.3 / Avg: 18.33 / Max: 18.36 Min: 24.5 / Avg: 24.54 / Max: 24.59 Min: 23.33 / Avg: 23.38 / Max: 23.44 Min: 24.61 / Avg: 24.63 / Max: 24.66 Min: 14.69 / Avg: 14.74 / Max: 14.77 Min: 26.64 / Avg: 26.65 / Max: 26.67 Min: 12.22 / Avg: 12.25 / Max: 12.28 Min: 19.77 / Avg: 19.83 / Max: 19.86 Min: 19.9 / Avg: 19.93 / Max: 19.97 Min: 27.05 / Avg: 27.11 / Max: 27.2 Min: 26.99 / Avg: 27.03 / Max: 27.07 Min: 27.51 / Avg: 27.55 / Max: 27.59 Min: 25.28 / Avg: 25.35 / Max: 25.39 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 12 24 36 48 60 SE +/- 0.95, N = 12 SE +/- 0.09, N = 3 SE +/- 0.29, N = 3 SE +/- 0.16, N = 15 SE +/- 0.08, N = 3 SE +/- 0.10, N = 8 SE +/- 0.17, N = 15 SE +/- 0.28, N = 3 SE +/- 0.52, N = 10 SE +/- 0.53, N = 3 SE +/- 0.13, N = 3 SE +/- 0.29, N = 3 SE +/- 0.31, N = 4 SE +/- 0.09, N = 3 SE +/- 0.26, N = 3 SE +/- 0.81, N = 3 SE +/- 1.80, N = 3 SE +/- 0.12, N = 3 SE +/- 0.55, N = 3 SE +/- 0.13, N = 3 27.71 32.87 31.33 33.75 24.85 24.57 29.84 28.82 25.74 26.10 27.85 31.33 34.16 25.88 23.60 34.32 52.99 37.02 25.36 25.70 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: resnet50 EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 11 22 33 44 55 Min: 24.74 / Avg: 27.71 / Max: 33.12 Min: 32.76 / Avg: 32.87 / Max: 33.04 Min: 30.76 / Avg: 31.33 / Max: 31.64 Min: 32.78 / Avg: 33.75 / Max: 34.88 Min: 24.71 / Avg: 24.85 / Max: 24.98 Min: 24.2 / Avg: 24.57 / Max: 25.09 Min: 28.32 / Avg: 29.84 / Max: 30.59 Min: 28.28 / Avg: 28.82 / Max: 29.2 Min: 21.71 / Avg: 25.74 / Max: 27.13 Min: 25.55 / Avg: 26.1 / Max: 27.16 Min: 27.64 / Avg: 27.85 / Max: 28.08 Min: 30.82 / Avg: 31.33 / Max: 31.84 Min: 33.29 / Avg: 34.16 / Max: 34.69 Min: 25.71 / Avg: 25.88 / Max: 26.01 Min: 23.25 / Avg: 23.6 / Max: 24.11 Min: 32.7 / Avg: 34.32 / Max: 35.25 Min: 49.43 / Avg: 52.99 / Max: 55.17 Min: 36.81 / Avg: 37.02 / Max: 37.23 Min: 24.66 / Avg: 25.36 / Max: 26.45 Min: 25.5 / Avg: 25.7 / Max: 25.94 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 0.6701 1.3402 2.0103 2.6804 3.3505 SE +/- 0.006, N = 3 SE +/- 0.005, N = 3 SE +/- 0.008, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.004, N = 3 SE +/- 0.004, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.004, N = 3 SE +/- 0.005, N = 3 SE +/- 0.006, N = 3 SE +/- 0.009, N = 3 SE +/- 0.004, N = 3 SE +/- 0.005, N = 3 SE +/- 0.009, N = 3 SE +/- 0.008, N = 3 SE +/- 0.019, N = 4 SE +/- 0.004, N = 3 SE +/- 0.002, N = 3 1.861 2.114 2.978 2.635 1.903 1.812 2.073 2.025 1.882 1.957 2.718 1.673 2.684 2.144 2.053 1.810 1.347 1.499 1.863 1.979 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 2 4 6 8 10 Min: 1.85 / Avg: 1.86 / Max: 1.87 Min: 2.11 / Avg: 2.11 / Max: 2.12 Min: 2.96 / Avg: 2.98 / Max: 2.99 Min: 2.63 / Avg: 2.63 / Max: 2.64 Min: 1.9 / Avg: 1.9 / Max: 1.9 Min: 1.81 / Avg: 1.81 / Max: 1.82 Min: 2.07 / Avg: 2.07 / Max: 2.08 Min: 2.02 / Avg: 2.03 / Max: 2.03 Min: 1.88 / Avg: 1.88 / Max: 1.89 Min: 1.95 / Avg: 1.96 / Max: 1.96 Min: 2.71 / Avg: 2.72 / Max: 2.72 Min: 1.66 / Avg: 1.67 / Max: 1.69 Min: 2.67 / Avg: 2.68 / Max: 2.7 Min: 2.14 / Avg: 2.14 / Max: 2.15 Min: 2.05 / Avg: 2.05 / Max: 2.06 Min: 1.79 / Avg: 1.81 / Max: 1.82 Min: 1.33 / Avg: 1.35 / Max: 1.36 Min: 1.45 / Avg: 1.5 / Max: 1.54 Min: 1.86 / Avg: 1.86 / Max: 1.87 Min: 1.98 / Avg: 1.98 / Max: 1.98 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 0.9569 1.9138 2.8707 3.8276 4.7845 SE +/- 0.022, N = 13 SE +/- 0.009, N = 3 SE +/- 0.007, N = 3 SE +/- 0.011, N = 3 SE +/- 0.005, N = 3 SE +/- 0.001, N = 3 SE +/- 0.014, N = 3 SE +/- 0.015, N = 3 SE +/- 0.001, N = 3 SE +/- 0.006, N = 3 SE +/- 0.014, N = 3 SE +/- 0.001, N = 3 SE +/- 0.005, N = 3 SE +/- 0.003, N = 3 SE +/- 0.003, N = 3 SE +/- 0.006, N = 3 SE +/- 0.016, N = 3 SE +/- 0.004, N = 3 SE +/- 0.003, N = 3 SE +/- 0.011, N = 3 1.974 3.261 4.007 4.253 2.653 1.924 2.318 2.113 2.290 2.030 3.527 1.933 4.059 2.479 2.084 2.012 2.131 1.999 1.955 2.042
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Darktable 3.2.1 Test: Server Room - Acceleration: CPU-only EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 2 4 6 8 10 Min: 1.94 / Avg: 1.97 / Max: 2.24 Min: 3.25 / Avg: 3.26 / Max: 3.28 Min: 3.99 / Avg: 4.01 / Max: 4.02 Min: 4.24 / Avg: 4.25 / Max: 4.27 Min: 2.65 / Avg: 2.65 / Max: 2.66 Min: 1.92 / Avg: 1.92 / Max: 1.93 Min: 2.3 / Avg: 2.32 / Max: 2.34 Min: 2.09 / Avg: 2.11 / Max: 2.14 Min: 2.29 / Avg: 2.29 / Max: 2.29 Min: 2.02 / Avg: 2.03 / Max: 2.04 Min: 3.51 / Avg: 3.53 / Max: 3.55 Min: 1.93 / Avg: 1.93 / Max: 1.94 Min: 4.05 / Avg: 4.06 / Max: 4.07 Min: 2.47 / Avg: 2.48 / Max: 2.48 Min: 2.08 / Avg: 2.08 / Max: 2.09 Min: 2 / Avg: 2.01 / Max: 2.02 Min: 2.11 / Avg: 2.13 / Max: 2.16 Min: 1.99 / Avg: 2 / Max: 2.01 Min: 1.95 / Avg: 1.96 / Max: 1.96 Min: 2.03 / Avg: 2.04 / Max: 2.06
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 8K 16K 24K 32K 40K SE +/- 83.99, N = 3 SE +/- 55.54, N = 3 SE +/- 43.86, N = 3 SE +/- 9.83, N = 3 SE +/- 8.44, N = 3 SE +/- 52.82, N = 3 SE +/- 50.55, N = 3 SE +/- 9.07, N = 3 SE +/- 27.39, N = 3 SE +/- 47.34, N = 3 SE +/- 32.81, N = 3 SE +/- 112.34, N = 3 SE +/- 63.42, N = 3 SE +/- 39.29, N = 3 SE +/- 61.93, N = 3 SE +/- 128.39, N = 3 SE +/- 235.98, N = 3 SE +/- 433.11, N = 4 SE +/- 61.39, N = 3 SE +/- 26.07, N = 3 26881 23659 16795 18983 26287 27606 24128 24700 26575 25560 18402 29894 18634 23328 24361 27640 37125 33395 26847 25274 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 6K 12K 18K 24K 30K Min: 26778.77 / Avg: 26881.22 / Max: 27047.74 Min: 23550.91 / Avg: 23658.54 / Max: 23736.16 Min: 16721.05 / Avg: 16795.5 / Max: 16872.91 Min: 18972.76 / Avg: 18983.41 / Max: 19003.05 Min: 26271.36 / Avg: 26287.44 / Max: 26299.92 Min: 27501.47 / Avg: 27606.4 / Max: 27669.46 Min: 24041.38 / Avg: 24128.48 / Max: 24216.49 Min: 24686.51 / Avg: 24700.11 / Max: 24717.31 Min: 26520.78 / Avg: 26575.42 / Max: 26606.09 Min: 25466.21 / Avg: 25560.04 / Max: 25617.95 Min: 18359.16 / Avg: 18402.47 / Max: 18466.82 Min: 29689.46 / Avg: 29894.23 / Max: 30076.7 Min: 18557.87 / Avg: 18634.35 / Max: 18760.23 Min: 23279.56 / Avg: 23328.38 / Max: 23406.12 Min: 24247.97 / Avg: 24360.89 / Max: 24461.41 Min: 27475.35 / Avg: 27639.96 / Max: 27892.95 Min: 36685.88 / Avg: 37125 / Max: 37494.37 Min: 32432.72 / Avg: 33395.1 / Max: 34538.91 Min: 26724.57 / Avg: 26847.3 / Max: 26911.7 Min: 25243.86 / Avg: 25274.39 / Max: 25326.27 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 0.0383 0.0766 0.1149 0.1532 0.1915 SE +/- 0.001, N = 3 SE +/- 0.002, N = 4 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 4 SE +/- 0.001, N = 12 SE +/- 0.002, N = 12 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 13 SE +/- 0.001, N = 3 SE +/- 0.001, N = 14 SE +/- 0.001, N = 5 SE +/- 0.014, N = 15 SE +/- 0.002, N = 15 SE +/- 0.001, N = 4 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 0.081 0.136 0.165 0.170 0.114 0.081 0.099 0.087 0.102 0.082 0.149 0.080 0.159 0.106 0.088 0.101 0.093 0.077 0.080 0.090
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Darktable 3.2.1 Test: Server Rack - Acceleration: CPU-only EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 1 2 3 4 5 Min: 0.08 / Avg: 0.08 / Max: 0.08 Min: 0.13 / Avg: 0.14 / Max: 0.14 Min: 0.16 / Avg: 0.17 / Max: 0.17 Min: 0.17 / Avg: 0.17 / Max: 0.17 Min: 0.11 / Avg: 0.11 / Max: 0.12 Min: 0.08 / Avg: 0.08 / Max: 0.09 Min: 0.09 / Avg: 0.1 / Max: 0.11 Min: 0.09 / Avg: 0.09 / Max: 0.09 Min: 0.1 / Avg: 0.1 / Max: 0.1 Min: 0.08 / Avg: 0.08 / Max: 0.08 Min: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.08 / Avg: 0.08 / Max: 0.1 Min: 0.16 / Avg: 0.16 / Max: 0.16 Min: 0.1 / Avg: 0.11 / Max: 0.12 Min: 0.09 / Avg: 0.09 / Max: 0.09 Min: 0.08 / Avg: 0.1 / Max: 0.24 Min: 0.08 / Avg: 0.09 / Max: 0.11 Min: 0.08 / Avg: 0.08 / Max: 0.08 Min: 0.08 / Avg: 0.08 / Max: 0.08 Min: 0.09 / Avg: 0.09 / Max: 0.09
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 10 20 30 40 50 SE +/- 0.67, N = 12 SE +/- 0.27, N = 3 SE +/- 0.23, N = 3 SE +/- 0.15, N = 15 SE +/- 0.19, N = 3 SE +/- 0.11, N = 8 SE +/- 0.17, N = 15 SE +/- 0.41, N = 3 SE +/- 0.26, N = 10 SE +/- 0.13, N = 3 SE +/- 0.08, N = 3 SE +/- 0.52, N = 3 SE +/- 0.13, N = 4 SE +/- 0.36, N = 3 SE +/- 0.04, N = 3 SE +/- 0.34, N = 3 SE +/- 1.51, N = 3 SE +/- 2.32, N = 3 SE +/- 0.78, N = 3 SE +/- 0.53, N = 3 23.45 23.83 25.82 26.48 20.52 20.94 24.55 25.98 21.54 21.38 22.58 28.03 27.22 23.01 20.15 30.56 44.33 37.10 22.38 22.06 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: mobilenet EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 9 18 27 36 45 Min: 21.05 / Avg: 23.45 / Max: 27.68 Min: 23.56 / Avg: 23.83 / Max: 24.36 Min: 25.59 / Avg: 25.82 / Max: 26.28 Min: 25.52 / Avg: 26.48 / Max: 27.51 Min: 20.25 / Avg: 20.52 / Max: 20.9 Min: 20.61 / Avg: 20.94 / Max: 21.36 Min: 23.62 / Avg: 24.55 / Max: 25.7 Min: 25.17 / Avg: 25.98 / Max: 26.53 Min: 19.53 / Avg: 21.54 / Max: 22.71 Min: 21.24 / Avg: 21.38 / Max: 21.64 Min: 22.42 / Avg: 22.58 / Max: 22.67 Min: 27.25 / Avg: 28.03 / Max: 29.02 Min: 26.94 / Avg: 27.22 / Max: 27.53 Min: 22.3 / Avg: 23.01 / Max: 23.42 Min: 20.07 / Avg: 20.15 / Max: 20.19 Min: 30.06 / Avg: 30.56 / Max: 31.22 Min: 41.32 / Avg: 44.33 / Max: 45.97 Min: 33.91 / Avg: 37.1 / Max: 41.62 Min: 21.08 / Avg: 22.38 / Max: 23.78 Min: 21 / Avg: 22.06 / Max: 22.67 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 2 4 6 8 10 SE +/- 0.013, N = 3 SE +/- 0.030, N = 3 SE +/- 0.074, N = 3 SE +/- 0.005, N = 3 SE +/- 0.018, N = 3 SE +/- 0.024, N = 3 SE +/- 0.014, N = 3 SE +/- 0.045, N = 3 SE +/- 0.013, N = 3 SE +/- 0.012, N = 3 SE +/- 0.034, N = 3 SE +/- 0.012, N = 3 SE +/- 0.005, N = 3 SE +/- 0.015, N = 3 SE +/- 0.020, N = 3 SE +/- 0.012, N = 3 SE +/- 0.054, N = 4 SE +/- 0.003, N = 3 SE +/- 0.019, N = 3 SE +/- 0.045, N = 3 3.701 6.347 6.456 7.276 5.503 3.648 4.432 3.741 3.602 3.796 5.695 3.481 6.767 4.105 3.720 3.311 4.050 3.410 3.725 3.700
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Darktable 3.2.1 Test: Boat - Acceleration: CPU-only EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 3 6 9 12 15 Min: 3.69 / Avg: 3.7 / Max: 3.73 Min: 6.3 / Avg: 6.35 / Max: 6.4 Min: 6.36 / Avg: 6.46 / Max: 6.6 Min: 7.27 / Avg: 7.28 / Max: 7.29 Min: 5.48 / Avg: 5.5 / Max: 5.54 Min: 3.62 / Avg: 3.65 / Max: 3.7 Min: 4.42 / Avg: 4.43 / Max: 4.46 Min: 3.69 / Avg: 3.74 / Max: 3.83 Min: 3.59 / Avg: 3.6 / Max: 3.63 Min: 3.77 / Avg: 3.8 / Max: 3.81 Min: 5.66 / Avg: 5.69 / Max: 5.76 Min: 3.47 / Avg: 3.48 / Max: 3.51 Min: 6.76 / Avg: 6.77 / Max: 6.78 Min: 4.09 / Avg: 4.11 / Max: 4.14 Min: 3.68 / Avg: 3.72 / Max: 3.75 Min: 3.29 / Avg: 3.31 / Max: 3.33 Min: 3.91 / Avg: 4.05 / Max: 4.15 Min: 3.41 / Avg: 3.41 / Max: 3.41 Min: 3.69 / Avg: 3.73 / Max: 3.76 Min: 3.65 / Avg: 3.7 / Max: 3.79
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 4 8 12 16 20 SE +/- 0.01024, N = 3 SE +/- 0.03172, N = 3 SE +/- 0.04345, N = 3 SE +/- 0.06304, N = 3 SE +/- 0.02302, N = 3 SE +/- 0.01510, N = 3 SE +/- 0.01739, N = 3 SE +/- 0.08758, N = 3 SE +/- 0.16459, N = 3 SE +/- 0.00575, N = 3 SE +/- 0.07227, N = 3 SE +/- 0.02604, N = 3 SE +/- 0.05268, N = 3 SE +/- 0.06961, N = 3 SE +/- 0.01027, N = 3 SE +/- 0.01654, N = 3 SE +/- 0.21777, N = 3 SE +/- 0.00693, N = 3 SE +/- 0.01557, N = 3 SE +/- 0.01357, N = 3 15.18680 8.10890 13.48800 8.54683 8.94634 15.12460 11.93780 17.69020 17.73280 15.11360 9.19335 16.55080 8.69542 15.41370 15.56040 17.59740 15.78500 17.34760 15.19950 17.24060 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 4 8 12 16 20 Min: 15.17 / Avg: 15.19 / Max: 15.2 Min: 8.07 / Avg: 8.11 / Max: 8.17 Min: 13.43 / Avg: 13.49 / Max: 13.57 Min: 8.43 / Avg: 8.55 / Max: 8.64 Min: 8.92 / Avg: 8.95 / Max: 8.99 Min: 15.1 / Avg: 15.12 / Max: 15.15 Min: 11.9 / Avg: 11.94 / Max: 11.96 Min: 17.54 / Avg: 17.69 / Max: 17.84 Min: 17.41 / Avg: 17.73 / Max: 17.96 Min: 15.1 / Avg: 15.11 / Max: 15.12 Min: 9.05 / Avg: 9.19 / Max: 9.27 Min: 16.51 / Avg: 16.55 / Max: 16.6 Min: 8.59 / Avg: 8.7 / Max: 8.75 Min: 15.28 / Avg: 15.41 / Max: 15.5 Min: 15.54 / Avg: 15.56 / Max: 15.58 Min: 17.57 / Avg: 17.6 / Max: 17.63 Min: 15.52 / Avg: 15.79 / Max: 16.22 Min: 17.34 / Avg: 17.35 / Max: 17.36 Min: 15.17 / Avg: 15.2 / Max: 15.23 Min: 17.21 / Avg: 17.24 / Max: 17.26 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 9 18 27 36 45 SE +/- 0.05, N = 3 SE +/- 0.35, N = 3 SE +/- 0.40, N = 3 SE +/- 0.00, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 SE +/- 0.09, N = 3 SE +/- 0.09, N = 3 SE +/- 0.11, N = 3 SE +/- 0.11, N = 3 SE +/- 0.19, N = 3 SE +/- 0.20, N = 3 SE +/- 0.08, N = 3 SE +/- 0.13, N = 3 SE +/- 0.10, N = 3 SE +/- 0.01, N = 3 SE +/- 0.17, N = 3 SE +/- 0.09, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 19.75 29.47 34.06 36.66 25.78 19.26 22.74 19.73 20.67 20.28 29.68 18.47 38.47 23.97 20.77 18.04 17.64 17.61 19.78 19.15
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed ImageMagick Compilation 6.9.0 Time To Compile EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 8 16 24 32 40 Min: 19.69 / Avg: 19.75 / Max: 19.84 Min: 28.91 / Avg: 29.47 / Max: 30.12 Min: 33.54 / Avg: 34.06 / Max: 34.86 Min: 36.66 / Avg: 36.66 / Max: 36.67 Min: 25.7 / Avg: 25.78 / Max: 25.91 Min: 19.19 / Avg: 19.26 / Max: 19.36 Min: 22.56 / Avg: 22.74 / Max: 22.85 Min: 19.62 / Avg: 19.73 / Max: 19.91 Min: 20.45 / Avg: 20.67 / Max: 20.81 Min: 20.07 / Avg: 20.28 / Max: 20.43 Min: 29.37 / Avg: 29.68 / Max: 30.01 Min: 18.09 / Avg: 18.47 / Max: 18.77 Min: 38.31 / Avg: 38.47 / Max: 38.59 Min: 23.81 / Avg: 23.97 / Max: 24.23 Min: 20.57 / Avg: 20.77 / Max: 20.89 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 Min: 19.76 / Avg: 19.78 / Max: 19.81 Min: 19.06 / Avg: 19.15 / Max: 19.27
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 8K 16K 24K 32K 40K SE +/- 144.22, N = 3 SE +/- 22.87, N = 3 SE +/- 42.54, N = 3 SE +/- 11.78, N = 3 SE +/- 19.61, N = 3 SE +/- 124.58, N = 3 SE +/- 120.80, N = 3 SE +/- 147.07, N = 3 SE +/- 103.35, N = 3 SE +/- 165.61, N = 3 SE +/- 13.52, N = 3 SE +/- 113.22, N = 3 SE +/- 39.46, N = 3 SE +/- 133.71, N = 3 SE +/- 101.89, N = 3 SE +/- 31.18, N = 3 SE +/- 193.77, N = 3 SE +/- 42.20, N = 3 SE +/- 88.24, N = 3 SE +/- 21.38, N = 3 33948 23600 16933 17712 29719 35712 30684 29266 23530 30874 18564 34328 16885 25340 31947 33185 34356 32507 34366 33122 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 6K 12K 18K 24K 30K Min: 33659.87 / Avg: 33948.31 / Max: 34094.55 Min: 23558.13 / Avg: 23599.78 / Max: 23636.98 Min: 16874.5 / Avg: 16933.07 / Max: 17015.81 Min: 17699.56 / Avg: 17711.97 / Max: 17735.53 Min: 29693.76 / Avg: 29719.02 / Max: 29757.63 Min: 35567.36 / Avg: 35712.36 / Max: 35960.34 Min: 30449.94 / Avg: 30683.77 / Max: 30853.3 Min: 29102.33 / Avg: 29266.2 / Max: 29559.66 Min: 23337.98 / Avg: 23529.58 / Max: 23692.55 Min: 30551.36 / Avg: 30873.5 / Max: 31101.24 Min: 18540.42 / Avg: 18564.06 / Max: 18587.26 Min: 34126.13 / Avg: 34327.72 / Max: 34517.82 Min: 16814.19 / Avg: 16885.02 / Max: 16950.57 Min: 25137.62 / Avg: 25339.61 / Max: 25592.38 Min: 31756.67 / Avg: 31947.17 / Max: 32105.07 Min: 33124.22 / Avg: 33185.44 / Max: 33226.34 Min: 33968.85 / Avg: 34356.37 / Max: 34553.08 Min: 32448.63 / Avg: 32507.36 / Max: 32589.21 Min: 34258.42 / Avg: 34366.01 / Max: 34540.96 Min: 33079.4 / Avg: 33121.84 / Max: 33147.58 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 4 8 12 16 20 SE +/- 0.032, N = 3 SE +/- 0.010, N = 3 SE +/- 0.037, N = 3 SE +/- 0.010, N = 3 SE +/- 0.006, N = 3 SE +/- 0.025, N = 3 SE +/- 0.032, N = 3 SE +/- 0.043, N = 3 SE +/- 0.046, N = 3 SE +/- 0.043, N = 3 SE +/- 0.010, N = 3 SE +/- 0.024, N = 3 SE +/- 0.034, N = 3 SE +/- 0.052, N = 3 SE +/- 0.025, N = 3 SE +/- 0.006, N = 3 SE +/- 0.044, N = 3 SE +/- 0.008, N = 3 SE +/- 0.019, N = 3 SE +/- 0.005, N = 3 7.376 10.600 14.772 14.122 8.419 7.011 8.158 8.556 10.634 8.110 13.473 7.300 14.814 9.875 7.835 7.549 7.301 7.714 7.286 7.557 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 4 8 12 16 20 Min: 7.34 / Avg: 7.38 / Max: 7.44 Min: 10.58 / Avg: 10.6 / Max: 10.62 Min: 14.7 / Avg: 14.77 / Max: 14.82 Min: 14.1 / Avg: 14.12 / Max: 14.13 Min: 8.41 / Avg: 8.42 / Max: 8.43 Min: 6.96 / Avg: 7.01 / Max: 7.04 Min: 8.11 / Avg: 8.16 / Max: 8.22 Min: 8.47 / Avg: 8.56 / Max: 8.6 Min: 10.56 / Avg: 10.63 / Max: 10.72 Min: 8.05 / Avg: 8.11 / Max: 8.19 Min: 13.46 / Avg: 13.47 / Max: 13.49 Min: 7.26 / Avg: 7.3 / Max: 7.34 Min: 14.76 / Avg: 14.81 / Max: 14.88 Min: 9.78 / Avg: 9.88 / Max: 9.95 Min: 7.8 / Avg: 7.84 / Max: 7.88 Min: 7.54 / Avg: 7.55 / Max: 7.56 Min: 7.26 / Avg: 7.3 / Max: 7.39 Min: 7.7 / Avg: 7.71 / Max: 7.72 Min: 7.25 / Avg: 7.29 / Max: 7.31 Min: 7.55 / Avg: 7.56 / Max: 7.57 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 9 18 27 36 45 SE +/- 0.29, N = 3 SE +/- 0.09, N = 3 SE +/- 0.07, N = 3 SE +/- 0.09, N = 3 SE +/- 0.09, N = 3 SE +/- 0.10, N = 3 SE +/- 0.06, N = 3 SE +/- 0.12, N = 3 SE +/- 0.21, N = 3 SE +/- 0.03, N = 3 SE +/- 0.25, N = 3 SE +/- 0.20, N = 3 SE +/- 0.09, N = 3 SE +/- 0.12, N = 3 SE +/- 0.12, N = 3 SE +/- 0.09, N = 3 SE +/- 0.12, N = 3 SE +/- 0.24, N = 3 SE +/- 0.28, N = 3 SE +/- 0.15, N = 3 36.0 24.7 22.3 20.6 27.4 36.7 32.5 34.9 35.7 35.2 24.5 36.0 18.6 31.8 35.2 35.0 33.9 34.1 36.3 39.2
Result Confidence
OpenBenchmarking.org FPS, More Is Better NeatBench 5 Acceleration: CPU EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 8 16 24 32 40 Min: 35.5 / Avg: 35.97 / Max: 36.5 Min: 24.5 / Avg: 24.67 / Max: 24.8 Min: 22.2 / Avg: 22.27 / Max: 22.4 Min: 20.4 / Avg: 20.57 / Max: 20.7 Min: 27.2 / Avg: 27.37 / Max: 27.5 Min: 36.6 / Avg: 36.7 / Max: 36.9 Min: 32.4 / Avg: 32.5 / Max: 32.6 Min: 34.7 / Avg: 34.9 / Max: 35.1 Min: 35.4 / Avg: 35.7 / Max: 36.1 Min: 35.1 / Avg: 35.17 / Max: 35.2 Min: 24 / Avg: 24.5 / Max: 24.8 Min: 35.7 / Avg: 36.03 / Max: 36.4 Min: 18.5 / Avg: 18.63 / Max: 18.8 Min: 31.6 / Avg: 31.77 / Max: 32 Min: 35 / Avg: 35.2 / Max: 35.4 Min: 34.9 / Avg: 35.03 / Max: 35.2 Min: 33.7 / Avg: 33.9 / Max: 34.1 Min: 33.8 / Avg: 34.13 / Max: 34.6 Min: 35.7 / Avg: 36.27 / Max: 36.6 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 1100 2200 3300 4400 5500 SE +/- 1.78, N = 3 SE +/- 12.62, N = 3 SE +/- 23.35, N = 3 SE +/- 6.19, N = 3 SE +/- 4.06, N = 3 SE +/- 1.58, N = 3 SE +/- 6.05, N = 3 SE +/- 6.59, N = 3 SE +/- 5.88, N = 3 SE +/- 1.88, N = 3 SE +/- 9.91, N = 3 SE +/- 1.32, N = 3 SE +/- 16.19, N = 3 SE +/- 9.01, N = 3 SE +/- 4.72, N = 3 SE +/- 3.15, N = 3 SE +/- 11.52, N = 3 SE +/- 2.00, N = 3 SE +/- 1.93, N = 3 SE +/- 3.89, N = 3 3619.06 3362.88 3067.72 3207.58 3451.64 3311.76 3939.24 3826.02 2665.28 4080.51 2548.47 4174.72 3258.14 3241.97 3376.25 4182.77 5137.70 4779.84 3600.68 2973.92 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 900 1800 2700 3600 4500 Min: 3615.77 / Avg: 3619.06 / Max: 3621.88 Min: 3346.38 / Avg: 3362.88 / Max: 3387.66 Min: 3031.11 / Avg: 3067.72 / Max: 3111.13 Min: 3197.37 / Avg: 3207.58 / Max: 3218.74 Min: 3443.53 / Avg: 3451.64 / Max: 3455.81 Min: 3308.61 / Avg: 3311.76 / Max: 3313.54 Min: 3927.14 / Avg: 3939.24 / Max: 3945.37 Min: 3813.1 / Avg: 3826.02 / Max: 3834.69 Min: 2657.78 / Avg: 2665.28 / Max: 2676.87 Min: 4077.76 / Avg: 4080.51 / Max: 4084.12 Min: 2530.59 / Avg: 2548.47 / Max: 2564.8 Min: 4173.31 / Avg: 4174.72 / Max: 4177.35 Min: 3225.88 / Avg: 3258.14 / Max: 3276.8 Min: 3224.92 / Avg: 3241.97 / Max: 3255.55 Min: 3371.39 / Avg: 3376.25 / Max: 3385.68 Min: 4177.13 / Avg: 4182.77 / Max: 4188.04 Min: 5119.17 / Avg: 5137.7 / Max: 5158.83 Min: 4777.11 / Avg: 4779.84 / Max: 4783.75 Min: 3597.6 / Avg: 3600.68 / Max: 3604.23 Min: 2968.79 / Avg: 2973.92 / Max: 2981.56 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 1100 2200 3300 4400 5500 SE +/- 1.05, N = 3 SE +/- 6.01, N = 3 SE +/- 15.09, N = 3 SE +/- 8.95, N = 3 SE +/- 0.78, N = 3 SE +/- 2.06, N = 3 SE +/- 6.48, N = 3 SE +/- 2.37, N = 3 SE +/- 8.51, N = 3 SE +/- 1.42, N = 3 SE +/- 12.31, N = 3 SE +/- 3.22, N = 3 SE +/- 5.39, N = 3 SE +/- 4.71, N = 3 SE +/- 6.01, N = 3 SE +/- 9.81, N = 3 SE +/- 8.48, N = 3 SE +/- 2.34, N = 3 SE +/- 3.84, N = 3 SE +/- 6.36, N = 3 3617.50 3352.05 3089.44 3205.71 3447.77 3310.57 3930.30 3814.20 2660.52 4075.64 2554.61 4162.17 3230.48 3229.97 3382.71 4184.58 5139.16 4774.55 3605.38 2997.78 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 900 1800 2700 3600 4500 Min: 3615.55 / Avg: 3617.5 / Max: 3619.16 Min: 3342.94 / Avg: 3352.05 / Max: 3363.39 Min: 3059.83 / Avg: 3089.44 / Max: 3109.34 Min: 3188.67 / Avg: 3205.71 / Max: 3218.97 Min: 3446.6 / Avg: 3447.77 / Max: 3449.26 Min: 3306.45 / Avg: 3310.57 / Max: 3312.87 Min: 3923.6 / Avg: 3930.3 / Max: 3943.26 Min: 3809.51 / Avg: 3814.2 / Max: 3817.18 Min: 2643.9 / Avg: 2660.52 / Max: 2672 Min: 4073.01 / Avg: 4075.64 / Max: 4077.88 Min: 2530.03 / Avg: 2554.61 / Max: 2567.91 Min: 4155.89 / Avg: 4162.17 / Max: 4166.55 Min: 3219.85 / Avg: 3230.48 / Max: 3237.36 Min: 3222.4 / Avg: 3229.97 / Max: 3238.62 Min: 3374.5 / Avg: 3382.71 / Max: 3394.41 Min: 4164.99 / Avg: 4184.58 / Max: 4195.11 Min: 5124.57 / Avg: 5139.16 / Max: 5153.96 Min: 4772.16 / Avg: 4774.55 / Max: 4779.24 Min: 3600.71 / Avg: 3605.38 / Max: 3612.99 Min: 2985.12 / Avg: 2997.78 / Max: 3005.23 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 200M 400M 600M 800M 1000M SE +/- 6501806.47, N = 3 SE +/- 1200697.76, N = 3 SE +/- 582055.48, N = 3 SE +/- 509017.81, N = 3 SE +/- 1775182.63, N = 3 SE +/- 3827416.70, N = 3 SE +/- 5582686.96, N = 4 SE +/- 6691126.83, N = 3 SE +/- 3887259.11, N = 3 SE +/- 7505047.53, N = 3 SE +/- 506097.03, N = 3 SE +/- 12958817.78, N = 3 SE +/- 191997.00, N = 3 SE +/- 828548.78, N = 3 SE +/- 7267307.29, N = 3 SE +/- 14142485.95, N = 4 SE +/- 8607660.07, N = 3 SE +/- 14941610.79, N = 5 SE +/- 2320863.50, N = 3 SE +/- 1557290.44, N = 3 628761361.90 131137677.35 105775501.86 83844100.09 187592330.55 638506395.09 384604006.18 735684027.48 326966719.16 590141135.13 117957703.69 903000809.74 63595537.41 244187311.27 424917536.89 986299971.45 1123083708.67 1149281981.04 616294829.53 508508378.36 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: Malloc EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 200M 400M 600M 800M 1000M Min: 620992825.66 / Avg: 628761361.9 / Max: 641676568.26 Min: 129775143.86 / Avg: 131137677.35 / Max: 133531442.9 Min: 104768693.64 / Avg: 105775501.86 / Max: 106784987.65 Min: 82858529.24 / Avg: 83844100.09 / Max: 84557758.69 Min: 184309391.65 / Avg: 187592330.55 / Max: 190404506.75 Min: 631017463.82 / Avg: 638506395.09 / Max: 643623554.11 Min: 373668851.33 / Avg: 384604006.18 / Max: 394823176.17 Min: 728939655.18 / Avg: 735684027.48 / Max: 749066139.53 Min: 319750773.34 / Avg: 326966719.16 / Max: 333080673.82 Min: 578590393.16 / Avg: 590141135.13 / Max: 604217860.55 Min: 116945789.82 / Avg: 117957703.69 / Max: 118484284.65 Min: 887501124.56 / Avg: 903000809.74 / Max: 928739890.61 Min: 63314674.99 / Avg: 63595537.41 / Max: 63962741.13 Min: 243331735.41 / Avg: 244187311.27 / Max: 245844111.69 Min: 414962112.87 / Avg: 424917536.89 / Max: 439066312.92 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 Min: 613464334.56 / Avg: 616294829.53 / Max: 620896053.44 Min: 506299751.97 / Avg: 508508378.36 / Max: 511514516.37 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 50 100 150 200 250 SE +/- 0.21, N = 3 SE +/- 0.30, N = 3 SE +/- 0.19, N = 3 SE +/- 0.11, N = 3 SE +/- 0.14, N = 3 SE +/- 0.19, N = 3 SE +/- 0.15, N = 3 SE +/- 0.12, N = 3 SE +/- 0.05, N = 3 SE +/- 0.11, N = 3 SE +/- 0.05, N = 3 SE +/- 0.50, N = 3 SE +/- 0.12, N = 3 SE +/- 0.07, N = 3 SE +/- 0.15, N = 3 SE +/- 0.26, N = 3 SE +/- 0.10, N = 3 SE +/- 0.15, N = 3 SE +/- 0.17, N = 3 SE +/- 0.07, N = 3 177.12 150.37 136.25 145.16 154.16 173.90 172.65 184.93 131.90 178.14 118.05 209.73 142.11 152.56 164.12 210.42 233.99 235.71 177.15 142.29 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 40 80 120 160 200 Min: 176.76 / Avg: 177.12 / Max: 177.49 Min: 150.06 / Avg: 150.37 / Max: 150.97 Min: 135.91 / Avg: 136.25 / Max: 136.57 Min: 144.94 / Avg: 145.16 / Max: 145.27 Min: 153.9 / Avg: 154.16 / Max: 154.39 Min: 173.55 / Avg: 173.9 / Max: 174.18 Min: 172.5 / Avg: 172.65 / Max: 172.96 Min: 184.68 / Avg: 184.93 / Max: 185.07 Min: 131.83 / Avg: 131.9 / Max: 132 Min: 177.99 / Avg: 178.14 / Max: 178.35 Min: 117.99 / Avg: 118.05 / Max: 118.14 Min: 209.23 / Avg: 209.73 / Max: 210.73 Min: 141.91 / Avg: 142.11 / Max: 142.32 Min: 152.43 / Avg: 152.56 / Max: 152.67 Min: 163.95 / Avg: 164.12 / Max: 164.42 Min: 209.97 / Avg: 210.42 / Max: 210.89 Min: 233.79 / Avg: 233.98 / Max: 234.09 Min: 235.48 / Avg: 235.71 / Max: 235.99 Min: 176.81 / Avg: 177.15 / Max: 177.32 Min: 142.2 / Avg: 142.29 / Max: 142.43 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 1200 2400 3600 4800 6000 SE +/- 43.70, N = 15 SE +/- 63.07, N = 3 SE +/- 24.73, N = 15 SE +/- 16.76, N = 3 SE +/- 33.02, N = 15 SE +/- 24.85, N = 3 SE +/- 44.07, N = 4 SE +/- 33.29, N = 15 SE +/- 4.04, N = 3 SE +/- 32.77, N = 15 SE +/- 62.95, N = 3 SE +/- 35.10, N = 3 SE +/- 42.15, N = 3 SE +/- 1.33, N = 3 SE +/- 53.48, N = 3 SE +/- 8.14, N = 3 SE +/- 30.93, N = 3 SE +/- 47.30, N = 3 SE +/- 36.29, N = 3 SE +/- 24.66, N = 3 4316 4078 2839 4806 3359 4350 2971 3003 5661 4000 4515 3762 2850 5135 4014 4937 4887 4719 5226 5448 1. Nodejs
v12.18.2
Result Confidence
OpenBenchmarking.org Requests Per Second, More Is Better Node.js Express HTTP Load Test EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 1000 2000 3000 4000 5000 Min: 3849 / Avg: 4316.33 / Max: 4532 Min: 3996 / Avg: 4078 / Max: 4202 Min: 2724 / Avg: 2839 / Max: 3060 Min: 4786 / Avg: 4805.67 / Max: 4839 Min: 3068 / Avg: 3359.4 / Max: 3589 Min: 4306 / Avg: 4350 / Max: 4392 Min: 2858 / Avg: 2971.25 / Max: 3059 Min: 2748 / Avg: 3002.73 / Max: 3153 Min: 5656 / Avg: 5661 / Max: 5669 Min: 3662 / Avg: 4000 / Max: 4169 Min: 4404 / Avg: 4514.67 / Max: 4622 Min: 3698 / Avg: 3762 / Max: 3819 Min: 2767 / Avg: 2850.33 / Max: 2903 Min: 5134 / Avg: 5135.33 / Max: 5138 Min: 3933 / Avg: 4014 / Max: 4115 Min: 4924 / Avg: 4937 / Max: 4952 Min: 4849 / Avg: 4886.67 / Max: 4948 Min: 4633 / Avg: 4719.33 / Max: 4796 Min: 5160 / Avg: 5226.33 / Max: 5285 Min: 5415 / Avg: 5447.67 / Max: 5496 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 8 16 24 32 40 SE +/- 0.61, N = 12 SE +/- 0.25, N = 3 SE +/- 0.18, N = 3 SE +/- 0.18, N = 15 SE +/- 0.04, N = 3 SE +/- 0.21, N = 8 SE +/- 0.31, N = 15 SE +/- 0.29, N = 3 SE +/- 0.18, N = 10 SE +/- 0.23, N = 3 SE +/- 0.11, N = 3 SE +/- 0.16, N = 3 SE +/- 0.36, N = 4 SE +/- 0.28, N = 3 SE +/- 0.12, N = 3 SE +/- 0.05, N = 3 SE +/- 0.19, N = 3 SE +/- 0.20, N = 3 SE +/- 0.31, N = 3 SE +/- 0.37, N = 3 21.89 23.23 23.00 24.25 18.55 20.00 23.85 23.83 20.22 20.13 21.25 24.97 24.42 22.29 19.02 28.15 36.64 28.08 20.25 21.57 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: squeezenet EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 8 16 24 32 40 Min: 19.57 / Avg: 21.89 / Max: 25.19 Min: 22.73 / Avg: 23.23 / Max: 23.51 Min: 22.72 / Avg: 23 / Max: 23.33 Min: 23.38 / Avg: 24.25 / Max: 25.52 Min: 18.46 / Avg: 18.55 / Max: 18.6 Min: 19.41 / Avg: 20 / Max: 21.27 Min: 22.12 / Avg: 23.85 / Max: 26.12 Min: 23.3 / Avg: 23.83 / Max: 24.31 Min: 19.04 / Avg: 20.22 / Max: 20.93 Min: 19.89 / Avg: 20.13 / Max: 20.59 Min: 21.04 / Avg: 21.25 / Max: 21.4 Min: 24.66 / Avg: 24.97 / Max: 25.17 Min: 23.48 / Avg: 24.42 / Max: 25.1 Min: 21.75 / Avg: 22.29 / Max: 22.7 Min: 18.89 / Avg: 19.02 / Max: 19.26 Min: 28.1 / Avg: 28.15 / Max: 28.25 Min: 36.28 / Avg: 36.64 / Max: 36.92 Min: 27.7 / Avg: 28.08 / Max: 28.39 Min: 19.66 / Avg: 20.25 / Max: 20.73 Min: 20.9 / Avg: 21.57 / Max: 22.16 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 8K 16K 24K 32K 40K SE +/- 21.81, N = 3 SE +/- 16.91, N = 3 SE +/- 27.93, N = 3 SE +/- 17.46, N = 3 SE +/- 146.28, N = 3 SE +/- 78.00, N = 3 SE +/- 29.87, N = 3 SE +/- 86.15, N = 3 SE +/- 117.64, N = 3 SE +/- 51.77, N = 3 SE +/- 18.08, N = 3 SE +/- 118.60, N = 3 SE +/- 6.01, N = 3 SE +/- 7.57, N = 3 SE +/- 83.89, N = 3 SE +/- 102.56, N = 3 SE +/- 299.63, N = 3 SE +/- 101.15, N = 3 SE +/- 103.00, N = 3 SE +/- 148.55, N = 3 33986 26523 18060 19383 31841 35592 31848 30982 25093 31451 19700 32370 18537 27933 32549 30867 34154 33238 33924 33552 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 6K 12K 18K 24K 30K Min: 33945.7 / Avg: 33985.57 / Max: 34020.84 Min: 26491.7 / Avg: 26523.04 / Max: 26549.72 Min: 18028.59 / Avg: 18060.48 / Max: 18116.14 Min: 19360.66 / Avg: 19382.71 / Max: 19417.19 Min: 31637.31 / Avg: 31841.25 / Max: 32124.87 Min: 35443.76 / Avg: 35592.46 / Max: 35707.68 Min: 31809.01 / Avg: 31848.24 / Max: 31906.87 Min: 30849.2 / Avg: 30982.07 / Max: 31143.51 Min: 24912.02 / Avg: 25092.89 / Max: 25313.65 Min: 31352.08 / Avg: 31450.92 / Max: 31527.01 Min: 19663.54 / Avg: 19699.69 / Max: 19718.67 Min: 32178.15 / Avg: 32369.75 / Max: 32586.65 Min: 18525.46 / Avg: 18537.25 / Max: 18545.21 Min: 27921.58 / Avg: 27932.63 / Max: 27947.12 Min: 32428.24 / Avg: 32548.65 / Max: 32710.05 Min: 30698.16 / Avg: 30866.88 / Max: 31052.26 Min: 33721.02 / Avg: 34154.35 / Max: 34729.48 Min: 33083.24 / Avg: 33238.13 / Max: 33428.27 Min: 33718.43 / Avg: 33924.16 / Max: 34036.14 Min: 33256.53 / Avg: 33552.19 / Max: 33725.41 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 1.2465 2.493 3.7395 4.986 6.2325 SE +/- 0.002, N = 3 SE +/- 0.003, N = 3 SE +/- 0.009, N = 3 SE +/- 0.005, N = 3 SE +/- 0.014, N = 3 SE +/- 0.006, N = 3 SE +/- 0.003, N = 3 SE +/- 0.009, N = 3 SE +/- 0.019, N = 3 SE +/- 0.005, N = 3 SE +/- 0.005, N = 3 SE +/- 0.012, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.008, N = 3 SE +/- 0.010, N = 3 SE +/- 0.025, N = 3 SE +/- 0.009, N = 3 SE +/- 0.009, N = 3 SE +/- 0.014, N = 3 2.947 3.773 5.540 5.162 3.144 2.814 3.144 3.232 3.989 3.184 5.079 3.095 5.397 3.584 3.076 3.245 2.934 3.014 2.952 2.984 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 2 4 6 8 10 Min: 2.94 / Avg: 2.95 / Max: 2.95 Min: 3.77 / Avg: 3.77 / Max: 3.78 Min: 5.52 / Avg: 5.54 / Max: 5.55 Min: 5.15 / Avg: 5.16 / Max: 5.17 Min: 3.12 / Avg: 3.14 / Max: 3.16 Min: 2.81 / Avg: 2.81 / Max: 2.83 Min: 3.14 / Avg: 3.14 / Max: 3.15 Min: 3.22 / Avg: 3.23 / Max: 3.25 Min: 3.95 / Avg: 3.99 / Max: 4.02 Min: 3.18 / Avg: 3.18 / Max: 3.19 Min: 5.07 / Avg: 5.08 / Max: 5.09 Min: 3.07 / Avg: 3.1 / Max: 3.11 Min: 5.4 / Avg: 5.4 / Max: 5.4 Min: 3.58 / Avg: 3.58 / Max: 3.59 Min: 3.06 / Avg: 3.08 / Max: 3.09 Min: 3.23 / Avg: 3.25 / Max: 3.26 Min: 2.89 / Avg: 2.93 / Max: 2.97 Min: 3 / Avg: 3.01 / Max: 3.03 Min: 2.94 / Avg: 2.95 / Max: 2.97 Min: 2.97 / Avg: 2.98 / Max: 3.01 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 14 28 42 56 70 SE +/- 1.29, N = 12 SE +/- 0.19, N = 3 SE +/- 0.17, N = 3 SE +/- 0.25, N = 15 SE +/- 0.34, N = 3 SE +/- 0.15, N = 8 SE +/- 0.31, N = 15 SE +/- 0.72, N = 3 SE +/- 0.68, N = 10 SE +/- 0.84, N = 3 SE +/- 0.35, N = 3 SE +/- 0.17, N = 3 SE +/- 0.19, N = 4 SE +/- 0.87, N = 3 SE +/- 0.31, N = 3 SE +/- 0.41, N = 3 SE +/- 0.41, N = 3 SE +/- 0.54, N = 3 SE +/- 0.76, N = 3 SE +/- 0.32, N = 3 36.74 49.36 43.06 49.39 39.31 32.64 41.99 38.80 37.18 33.55 40.01 39.93 50.01 37.89 32.49 43.46 63.71 43.92 33.03 36.97 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: vgg16 EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 12 24 36 48 60 Min: 32.24 / Avg: 36.74 / Max: 43.77 Min: 48.98 / Avg: 49.36 / Max: 49.63 Min: 42.85 / Avg: 43.06 / Max: 43.39 Min: 47.72 / Avg: 49.39 / Max: 51.72 Min: 38.86 / Avg: 39.31 / Max: 39.99 Min: 32.07 / Avg: 32.64 / Max: 33.38 Min: 39.76 / Avg: 41.99 / Max: 43.74 Min: 37.36 / Avg: 38.8 / Max: 39.61 Min: 31.85 / Avg: 37.18 / Max: 39.52 Min: 32.39 / Avg: 33.55 / Max: 35.17 Min: 39.57 / Avg: 40.01 / Max: 40.7 Min: 39.66 / Avg: 39.93 / Max: 40.24 Min: 49.52 / Avg: 50.01 / Max: 50.37 Min: 36.71 / Avg: 37.89 / Max: 39.58 Min: 32.12 / Avg: 32.49 / Max: 33.11 Min: 42.79 / Avg: 43.46 / Max: 44.19 Min: 63.27 / Avg: 63.71 / Max: 64.54 Min: 43.08 / Avg: 43.92 / Max: 44.93 Min: 32.11 / Avg: 33.03 / Max: 34.53 Min: 36.47 / Avg: 36.97 / Max: 37.57 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 100 200 300 400 500 SE +/- 0.12, N = 3 SE +/- 2.39, N = 3 SE +/- 0.85, N = 3 SE +/- 1.53, N = 3 SE +/- 2.12, N = 3 SE +/- 1.68, N = 3 SE +/- 1.50, N = 3 SE +/- 0.34, N = 3 SE +/- 0.42, N = 3 SE +/- 3.37, N = 3 SE +/- 3.22, N = 3 SE +/- 0.55, N = 3 SE +/- 4.52, N = 3 SE +/- 1.62, N = 3 SE +/- 1.16, N = 3 SE +/- 1.67, N = 3 SE +/- 1.45, N = 3 SE +/- 2.80, N = 3 SE +/- 0.92, N = 3 SE +/- 0.17, N = 3 271.54 334.58 355.52 392.82 260.47 251.43 305.55 289.88 230.35 277.10 354.73 330.09 373.07 260.18 252.12 309.36 442.85 381.92 265.01 227.11 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 80 160 240 320 400 Min: 271.34 / Avg: 271.54 / Max: 271.75 Min: 330.36 / Avg: 334.58 / Max: 338.64 Min: 353.9 / Avg: 355.52 / Max: 356.77 Min: 389.93 / Avg: 392.82 / Max: 395.14 Min: 256.85 / Avg: 260.47 / Max: 264.18 Min: 248.87 / Avg: 251.43 / Max: 254.59 Min: 302.75 / Avg: 305.55 / Max: 307.86 Min: 289.39 / Avg: 289.88 / Max: 290.54 Min: 229.56 / Avg: 230.35 / Max: 230.99 Min: 270.87 / Avg: 277.1 / Max: 282.42 Min: 348.31 / Avg: 354.72 / Max: 358.52 Min: 329.07 / Avg: 330.09 / Max: 330.98 Min: 364.04 / Avg: 373.07 / Max: 377.83 Min: 258.39 / Avg: 260.18 / Max: 263.42 Min: 250.69 / Avg: 252.12 / Max: 254.42 Min: 306.05 / Avg: 309.36 / Max: 311.45 Min: 440.47 / Avg: 442.85 / Max: 445.47 Min: 376.52 / Avg: 381.92 / Max: 385.92 Min: 264.04 / Avg: 265.01 / Max: 266.85 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 6 12 18 24 30 SE +/- 0.45, N = 12 SE +/- 0.26, N = 3 SE +/- 0.09, N = 3 SE +/- 1.89, N = 15 SE +/- 0.09, N = 3 SE +/- 0.07, N = 8 SE +/- 0.13, N = 15 SE +/- 0.45, N = 3 SE +/- 0.23, N = 10 SE +/- 0.15, N = 3 SE +/- 0.34, N = 3 SE +/- 0.08, N = 3 SE +/- 0.07, N = 4 SE +/- 0.05, N = 3 SE +/- 0.16, N = 3 SE +/- 0.20, N = 3 SE +/- 0.55, N = 3 SE +/- 0.40, N = 3 SE +/- 0.21, N = 3 SE +/- 0.28, N = 3 15.76 17.65 16.15 19.41 14.40 14.73 17.89 16.09 13.40 15.11 15.19 16.02 17.52 15.20 13.72 17.33 25.93 17.01 14.18 14.69 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: resnet18 EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 6 12 18 24 30 Min: 14.25 / Avg: 15.76 / Max: 18.49 Min: 17.2 / Avg: 17.65 / Max: 18.09 Min: 16.02 / Avg: 16.15 / Max: 16.32 Min: 16.74 / Avg: 19.41 / Max: 45.87 Min: 14.27 / Avg: 14.4 / Max: 14.57 Min: 14.45 / Avg: 14.73 / Max: 15.08 Min: 17.07 / Avg: 17.89 / Max: 18.64 Min: 15.41 / Avg: 16.09 / Max: 16.94 Min: 11.54 / Avg: 13.4 / Max: 14.2 Min: 14.83 / Avg: 15.11 / Max: 15.36 Min: 14.59 / Avg: 15.19 / Max: 15.77 Min: 15.93 / Avg: 16.02 / Max: 16.19 Min: 17.32 / Avg: 17.52 / Max: 17.67 Min: 15.11 / Avg: 15.2 / Max: 15.28 Min: 13.53 / Avg: 13.72 / Max: 14.03 Min: 16.94 / Avg: 17.33 / Max: 17.63 Min: 24.86 / Avg: 25.93 / Max: 26.68 Min: 16.41 / Avg: 17.01 / Max: 17.77 Min: 13.84 / Avg: 14.18 / Max: 14.56 Min: 14.13 / Avg: 14.69 / Max: 14.97 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 1000 2000 3000 4000 5000 SE +/- 9.20, N = 3 SE +/- 22.86, N = 3 SE +/- 25.69, N = 3 SE +/- 36.62, N = 3 SE +/- 10.08, N = 3 SE +/- 4.44, N = 3 SE +/- 49.86, N = 4 SE +/- 33.00, N = 3 SE +/- 1.58, N = 3 SE +/- 7.26, N = 3 SE +/- 50.65, N = 3 SE +/- 5.39, N = 3 SE +/- 6.48, N = 3 SE +/- 13.48, N = 3 SE +/- 12.02, N = 3 SE +/- 12.60, N = 3 SE +/- 19.98, N = 3 SE +/- 5.69, N = 3 SE +/- 1.04, N = 3 SE +/- 6.12, N = 3 3634.42 2368.92 3072.62 2390.87 2334.81 3646.83 3651.00 4254.94 4501.69 3622.05 3088.71 4265.80 2345.90 3861.21 3718.88 4389.41 4352.03 4445.33 3650.99 4225.37 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 800 1600 2400 3200 4000 Min: 3620.99 / Avg: 3634.42 / Max: 3652.03 Min: 2330.47 / Avg: 2368.92 / Max: 2409.56 Min: 3025.64 / Avg: 3072.62 / Max: 3114.11 Min: 2317.79 / Avg: 2390.87 / Max: 2431.56 Min: 2324.11 / Avg: 2334.81 / Max: 2354.95 Min: 3638 / Avg: 3646.83 / Max: 3652.03 Min: 3503.37 / Avg: 3651 / Max: 3717.36 Min: 4190.95 / Avg: 4254.94 / Max: 4300.96 Min: 4498.52 / Avg: 4501.69 / Max: 4503.27 Min: 3613.31 / Avg: 3622.05 / Max: 3636.45 Min: 2987.44 / Avg: 3088.71 / Max: 3141.66 Min: 4255.84 / Avg: 4265.8 / Max: 4274.34 Min: 2333.02 / Avg: 2345.9 / Max: 2353.64 Min: 3841.39 / Avg: 3861.21 / Max: 3886.95 Min: 3700.14 / Avg: 3718.88 / Max: 3741.3 Min: 4376.81 / Avg: 4389.41 / Max: 4414.61 Min: 4314.02 / Avg: 4352.03 / Max: 4381.69 Min: 4434.14 / Avg: 4445.33 / Max: 4452.67 Min: 3648.9 / Avg: 3650.99 / Max: 3652.03 Min: 4217.92 / Avg: 4225.37 / Max: 4237.5 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 100 200 300 400 500 SE +/- 0.63, N = 3 SE +/- 0.53, N = 3 SE +/- 0.52, N = 3 SE +/- 0.57, N = 3 SE +/- 0.73, N = 3 SE +/- 0.53, N = 3 SE +/- 0.69, N = 3 SE +/- 0.52, N = 3 SE +/- 0.61, N = 3 SE +/- 0.17, N = 3 SE +/- 2.03, N = 3 SE +/- 0.49, N = 3 SE +/- 0.77, N = 3 SE +/- 0.13, N = 3 SE +/- 0.35, N = 3 SE +/- 0.79, N = 3 SE +/- 1.03, N = 3 SE +/- 0.51, N = 3 SE +/- 0.58, N = 3 SE +/- 0.93, N = 3 408 377 236 263 454 432 376 355 387 377 279 378 280 383 415 383 356 354 409 451 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 80 160 240 320 400 Min: 407.17 / Avg: 408.22 / Max: 409.33 Min: 375.94 / Avg: 376.84 / Max: 377.79 Min: 235.52 / Avg: 236.32 / Max: 237.3 Min: 261.92 / Avg: 262.58 / Max: 263.71 Min: 453.31 / Avg: 454.13 / Max: 455.58 Min: 431.59 / Avg: 432.22 / Max: 433.28 Min: 375.23 / Avg: 375.99 / Max: 377.36 Min: 354.36 / Avg: 355.33 / Max: 356.13 Min: 386.1 / Avg: 386.85 / Max: 388.05 Min: 377.22 / Avg: 377.45 / Max: 377.79 Min: 275.41 / Avg: 279.23 / Max: 282.33 Min: 376.79 / Avg: 377.64 / Max: 378.5 Min: 278.24 / Avg: 279.59 / Max: 280.9 Min: 382.85 / Avg: 383.09 / Max: 383.29 Min: 414.08 / Avg: 414.65 / Max: 415.28 Min: 381.97 / Avg: 383.1 / Max: 384.62 Min: 354.74 / Avg: 356.47 / Max: 358.29 Min: 353.36 / Avg: 354.15 / Max: 355.11 Min: 408.16 / Avg: 409.17 / Max: 410.17 Min: 449.84 / Avg: 451.06 / Max: 452.9 1. (CXX) g++ options: -pie -fPIC -fstack-protector -O2 -lpthread -llzma -lbz2 -lsnappy -lnuma -lpcre2-8 -lcrypt -lz -lm -lssl -lcrypto -ldl
OpenVINO
Result
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Face Detection 0106 FP16 - Device: CPU EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 800 1600 2400 3200 4000 SE +/- 1.08, N = 3 SE +/- 3.30, N = 3 SE +/- 2.33, N = 3 SE +/- 6.54, N = 3 SE +/- 4.62, N = 3 SE +/- 2.01, N = 3 SE +/- 4.14, N = 3 SE +/- 2.71, N = 3 SE +/- 7.58, N = 3 SE +/- 1.26, N = 3 SE +/- 4.52, N = 3 SE +/- 1.56, N = 3 SE +/- 13.27, N = 3 SE +/- 4.74, N = 3 SE +/- 3.22, N = 3 SE +/- 0.89, N = 3 SE +/- 14.96, N = 3 SE +/- 4.17, N = 3 SE +/- 1.51, N = 3 SE +/- 2.69, N = 3 2805.48 2586.14 2436.75 2600.15 2677.81 2604.68 2991.16 2896.79 2056.94 3070.66 1998.07 3248.81 2597.69 2600.47 2614.51 3092.81 3839.87 3508.02 2792.73 2275.81 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 700 1400 2100 2800 3500 Min: 2804.09 / Avg: 2805.48 / Max: 2807.61 Min: 2580.39 / Avg: 2586.14 / Max: 2591.83 Min: 2432.1 / Avg: 2436.75 / Max: 2439.19 Min: 2587.1 / Avg: 2600.15 / Max: 2607.47 Min: 2668.76 / Avg: 2677.81 / Max: 2683.98 Min: 2600.93 / Avg: 2604.68 / Max: 2607.81 Min: 2982.89 / Avg: 2991.16 / Max: 2995.63 Min: 2893.86 / Avg: 2896.79 / Max: 2902.21 Min: 2043.82 / Avg: 2056.94 / Max: 2070.07 Min: 3069.11 / Avg: 3070.66 / Max: 3073.15 Min: 1992.29 / Avg: 1998.07 / Max: 2006.99 Min: 3246.75 / Avg: 3248.81 / Max: 3251.86 Min: 2571.87 / Avg: 2597.69 / Max: 2615.92 Min: 2594.08 / Avg: 2600.47 / Max: 2609.73 Min: 2608.68 / Avg: 2614.51 / Max: 2619.8 Min: 3091.18 / Avg: 3092.81 / Max: 3094.24 Min: 3819.73 / Avg: 3839.87 / Max: 3869.1 Min: 3499.99 / Avg: 3508.02 / Max: 3514.01 Min: 2790.22 / Avg: 2792.73 / Max: 2795.45 Min: 2271.29 / Avg: 2275.81 / Max: 2280.6 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 14K 28K 42K 56K 70K SE +/- 491.54, N = 3 SE +/- 84.88, N = 3 SE +/- 91.74, N = 3 SE +/- 133.20, N = 3 SE +/- 152.36, N = 3 SE +/- 437.03, N = 3 SE +/- 1348.73, N = 15 SE +/- 341.83, N = 3 SE +/- 229.75, N = 3 SE +/- 920.22, N = 4 SE +/- 239.10, N = 3 SE +/- 468.99, N = 15 SE +/- 71.48, N = 3 SE +/- 275.30, N = 3 SE +/- 1239.94, N = 15 SE +/- 321.18, N = 3 SE +/- 176.57, N = 3 SE +/- 60.18, N = 3 SE +/- 241.08, N = 3 SE +/- 490.90, N = 14 61836.51 54278.91 34303.92 37612.10 65784.91 64460.63 61161.49 52852.27 59402.61 61372.67 37856.21 52421.16 38055.48 59610.98 64404.93 51763.13 51183.28 51197.81 63083.58 61253.78 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 11K 22K 33K 44K 55K Min: 61166.4 / Avg: 61836.51 / Max: 62794.51 Min: 54160.94 / Avg: 54278.91 / Max: 54443.62 Min: 34195.02 / Avg: 34303.92 / Max: 34486.25 Min: 37466.22 / Avg: 37612.1 / Max: 37878.08 Min: 65481.22 / Avg: 65784.91 / Max: 65958.47 Min: 63717.54 / Avg: 64460.63 / Max: 65230.73 Min: 53679.74 / Avg: 61161.49 / Max: 66058.07 Min: 52179.66 / Avg: 52852.27 / Max: 53294.56 Min: 58959.13 / Avg: 59402.61 / Max: 59728.54 Min: 58752.25 / Avg: 61372.67 / Max: 62931.84 Min: 37556.37 / Avg: 37856.21 / Max: 38328.73 Min: 48119.17 / Avg: 52421.16 / Max: 53819.68 Min: 37912.54 / Avg: 38055.48 / Max: 38128.59 Min: 59178.64 / Avg: 59610.98 / Max: 60122.42 Min: 56916.25 / Avg: 64404.93 / Max: 69223.31 Min: 51177.38 / Avg: 51763.13 / Max: 52284.35 Min: 50839.81 / Avg: 51183.28 / Max: 51426.06 Min: 51112.45 / Avg: 51197.81 / Max: 51313.99 Min: 62764.22 / Avg: 63083.58 / Max: 63556.1 Min: 58118.01 / Avg: 61253.78 / Max: 64354.32 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 120 240 360 480 600 SE +/- 0.91, N = 3 SE +/- 0.86, N = 3 SE +/- 0.46, N = 3 SE +/- 1.18, N = 3 SE +/- 1.58, N = 3 SE +/- 0.80, N = 3 SE +/- 0.66, N = 3 SE +/- 0.76, N = 3 SE +/- 1.22, N = 3 SE +/- 0.77, N = 3 SE +/- 0.47, N = 3 SE +/- 1.01, N = 3 SE +/- 0.41, N = 3 SE +/- 1.16, N = 3 SE +/- 0.73, N = 3 SE +/- 0.83, N = 3 SE +/- 1.02, N = 3 SE +/- 0.38, N = 3 SE +/- 0.28, N = 3 SE +/- 1.64, N = 3 490 461 291 329 554 517 455 430 476 453 351 457 359 465 501 464 432 426 495 547 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 100 200 300 400 500 Min: 488.28 / Avg: 489.72 / Max: 491.4 Min: 459.77 / Avg: 460.83 / Max: 462.53 Min: 289.77 / Avg: 290.67 / Max: 291.29 Min: 327.33 / Avg: 328.92 / Max: 331.24 Min: 551.88 / Avg: 554.03 / Max: 557.1 Min: 516.26 / Avg: 517.07 / Max: 518.67 Min: 453.72 / Avg: 454.82 / Max: 456 Min: 428.45 / Avg: 429.62 / Max: 431.03 Min: 474.38 / Avg: 475.82 / Max: 478.24 Min: 451.26 / Avg: 452.56 / Max: 453.93 Min: 349.9 / Avg: 350.84 / Max: 351.37 Min: 455.58 / Avg: 456.69 / Max: 458.72 Min: 358.68 / Avg: 359.41 / Max: 360.1 Min: 463.82 / Avg: 465.19 / Max: 467.51 Min: 499.5 / Avg: 500.67 / Max: 502.01 Min: 462.75 / Avg: 463.97 / Max: 465.55 Min: 429.74 / Avg: 431.54 / Max: 433.28 Min: 425.71 / Avg: 426.44 / Max: 426.99 Min: 494.56 / Avg: 495.05 / Max: 495.54 Min: 544.07 / Avg: 546.96 / Max: 549.75 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 12 24 36 48 60 SE +/- 0.06, N = 12 SE +/- 0.20, N = 12 SE +/- 0.73, N = 3 SE +/- 0.33, N = 3 SE +/- 0.40, N = 3 SE +/- 0.10, N = 12 SE +/- 0.19, N = 15 SE +/- 0.26, N = 15 SE +/- 0.19, N = 15 SE +/- 0.09, N = 15 SE +/- 0.66, N = 3 SE +/- 0.12, N = 15 SE +/- 0.25, N = 12 SE +/- 0.21, N = 3 SE +/- 0.23, N = 15 SE +/- 0.07, N = 3 SE +/- 0.23, N = 12 SE +/- 0.13, N = 15 SE +/- 0.13, N = 3 SE +/- 0.23, N = 15 27.51 44.08 48.96 50.44 37.16 26.92 37.00 28.78 34.18 28.00 45.21 29.08 51.11 40.25 33.29 28.29 32.53 28.32 27.39 32.60 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 10 20 30 40 50 Min: 27.07 / Avg: 27.51 / Max: 27.89 Min: 43.1 / Avg: 44.08 / Max: 45.16 Min: 47.67 / Avg: 48.96 / Max: 50.18 Min: 49.77 / Avg: 50.44 / Max: 50.85 Min: 36.4 / Avg: 37.16 / Max: 37.73 Min: 26.35 / Avg: 26.92 / Max: 27.47 Min: 35.97 / Avg: 37 / Max: 38.04 Min: 27.78 / Avg: 28.78 / Max: 31.81 Min: 33.19 / Avg: 34.18 / Max: 35.14 Min: 27.56 / Avg: 28 / Max: 28.75 Min: 44.43 / Avg: 45.21 / Max: 46.53 Min: 28.43 / Avg: 29.08 / Max: 29.83 Min: 49.99 / Avg: 51.11 / Max: 52.36 Min: 40.01 / Avg: 40.25 / Max: 40.66 Min: 32.08 / Avg: 33.29 / Max: 35.28 Min: 28.21 / Avg: 28.29 / Max: 28.43 Min: 31.11 / Avg: 32.53 / Max: 33.96 Min: 27.64 / Avg: 28.32 / Max: 29.38 Min: 27.23 / Avg: 27.39 / Max: 27.64 Min: 31.3 / Avg: 32.6 / Max: 33.96 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 400 800 1200 1600 2000 1861 1268 1029 1016 1422 1906 1638 1796 1658 1811 1176 1908 1020 1502 1746 1928 1843 1912 1858 1831
OpenVINO
Result
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Face Detection 0106 FP32 - Device: CPU EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 800 1600 2400 3200 4000 SE +/- 1.31, N = 3 SE +/- 3.76, N = 3 SE +/- 8.09, N = 3 SE +/- 6.48, N = 3 SE +/- 1.27, N = 3 SE +/- 1.22, N = 3 SE +/- 2.65, N = 3 SE +/- 3.65, N = 3 SE +/- 0.56, N = 3 SE +/- 2.41, N = 3 SE +/- 2.63, N = 3 SE +/- 1.11, N = 3 SE +/- 5.91, N = 3 SE +/- 0.94, N = 3 SE +/- 5.29, N = 3 SE +/- 2.14, N = 3 SE +/- 13.85, N = 3 SE +/- 5.97, N = 3 SE +/- 2.16, N = 3 SE +/- 2.68, N = 3 2802.25 2589.48 2432.00 2588.02 2673.76 2600.40 2990.38 2894.52 2064.65 3065.49 2005.91 3239.74 2605.05 2598.28 2619.80 3093.73 3802.58 3505.17 2794.68 2280.09 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 700 1400 2100 2800 3500 Min: 2800.17 / Avg: 2802.25 / Max: 2804.68 Min: 2583.64 / Avg: 2589.48 / Max: 2596.51 Min: 2417.5 / Avg: 2432 / Max: 2445.45 Min: 2576.99 / Avg: 2588.02 / Max: 2599.43 Min: 2671.86 / Avg: 2673.76 / Max: 2676.17 Min: 2598.01 / Avg: 2600.4 / Max: 2602.05 Min: 2985.22 / Avg: 2990.38 / Max: 2994.01 Min: 2890.55 / Avg: 2894.52 / Max: 2901.82 Min: 2063.74 / Avg: 2064.65 / Max: 2065.66 Min: 3062.31 / Avg: 3065.49 / Max: 3070.23 Min: 2000.66 / Avg: 2005.91 / Max: 2008.73 Min: 3237.91 / Avg: 3239.74 / Max: 3241.74 Min: 2594.21 / Avg: 2605.05 / Max: 2614.56 Min: 2596.72 / Avg: 2598.28 / Max: 2599.98 Min: 2609.52 / Avg: 2619.8 / Max: 2627.12 Min: 3090.11 / Avg: 3093.73 / Max: 3097.51 Min: 3782.5 / Avg: 3802.58 / Max: 3829.14 Min: 3494.9 / Avg: 3505.17 / Max: 3515.57 Min: 2790.38 / Avg: 2794.68 / Max: 2797.22 Min: 2276.36 / Avg: 2280.09 / Max: 2285.29 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 3 6 9 12 15 SE +/- 0.020, N = 12 SE +/- 0.090, N = 12 SE +/- 0.055, N = 3 SE +/- 0.084, N = 3 SE +/- 0.048, N = 3 SE +/- 0.017, N = 12 SE +/- 0.245, N = 15 SE +/- 0.054, N = 15 SE +/- 0.012, N = 15 SE +/- 0.010, N = 15 SE +/- 0.038, N = 3 SE +/- 0.049, N = 15 SE +/- 0.064, N = 12 SE +/- 0.085, N = 3 SE +/- 0.188, N = 15 SE +/- 0.177, N = 3 SE +/- 0.067, N = 12 SE +/- 0.020, N = 15 SE +/- 0.015, N = 3 SE +/- 0.205, N = 15 5.450 9.640 7.927 8.284 7.536 5.134 6.949 5.307 6.528 5.262 7.068 5.712 8.677 7.800 6.416 5.546 6.541 5.348 5.472 5.896 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 3 6 9 12 15 Min: 5.34 / Avg: 5.45 / Max: 5.58 Min: 9.14 / Avg: 9.64 / Max: 10.38 Min: 7.83 / Avg: 7.93 / Max: 8.03 Min: 8.15 / Avg: 8.28 / Max: 8.44 Min: 7.49 / Avg: 7.54 / Max: 7.63 Min: 4.99 / Avg: 5.13 / Max: 5.2 Min: 5.7 / Avg: 6.95 / Max: 7.81 Min: 5.16 / Avg: 5.31 / Max: 5.94 Min: 6.45 / Avg: 6.53 / Max: 6.61 Min: 5.21 / Avg: 5.26 / Max: 5.33 Min: 7.01 / Avg: 7.07 / Max: 7.14 Min: 5.4 / Avg: 5.71 / Max: 5.9 Min: 8.16 / Avg: 8.68 / Max: 9.01 Min: 7.63 / Avg: 7.8 / Max: 7.91 Min: 5.32 / Avg: 6.42 / Max: 7.16 Min: 5.33 / Avg: 5.55 / Max: 5.9 Min: 6.25 / Avg: 6.54 / Max: 7.01 Min: 5.26 / Avg: 5.35 / Max: 5.52 Min: 5.45 / Avg: 5.47 / Max: 5.5 Min: 4.97 / Avg: 5.9 / Max: 6.79 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 5 10 15 20 25 SE +/- 0.40, N = 12 SE +/- 0.23, N = 3 SE +/- 0.15, N = 3 SE +/- 0.06, N = 15 SE +/- 0.04, N = 3 SE +/- 0.12, N = 8 SE +/- 0.20, N = 15 SE +/- 0.37, N = 3 SE +/- 0.28, N = 10 SE +/- 0.09, N = 3 SE +/- 0.40, N = 2 SE +/- 0.32, N = 3 SE +/- 0.16, N = 4 SE +/- 0.23, N = 3 SE +/- 0.05, N = 3 SE +/- 0.18, N = 3 SE +/- 0.63, N = 3 SE +/- 0.61, N = 3 SE +/- 0.13, N = 3 SE +/- 0.33, N = 3 11.70 12.75 11.03 12.66 10.94 10.85 12.96 11.07 9.86 10.84 10.44 11.31 12.85 11.32 10.04 11.59 18.51 11.21 9.95 10.52 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: alexnet EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 5 10 15 20 25 Min: 10.19 / Avg: 11.7 / Max: 14.07 Min: 12.32 / Avg: 12.75 / Max: 13.12 Min: 10.74 / Avg: 11.03 / Max: 11.2 Min: 12.41 / Avg: 12.66 / Max: 13.1 Min: 10.89 / Avg: 10.94 / Max: 11.03 Min: 10.47 / Avg: 10.85 / Max: 11.37 Min: 11.74 / Avg: 12.96 / Max: 14.52 Min: 10.66 / Avg: 11.07 / Max: 11.81 Min: 8.01 / Avg: 9.86 / Max: 11.13 Min: 10.75 / Avg: 10.84 / Max: 11.02 Min: 10.04 / Avg: 10.44 / Max: 10.83 Min: 10.87 / Avg: 11.31 / Max: 11.93 Min: 12.47 / Avg: 12.85 / Max: 13.25 Min: 10.87 / Avg: 11.32 / Max: 11.66 Min: 9.96 / Avg: 10.04 / Max: 10.13 Min: 11.35 / Avg: 11.59 / Max: 11.95 Min: 17.78 / Avg: 18.51 / Max: 19.77 Min: 10.53 / Avg: 11.21 / Max: 12.43 Min: 9.82 / Avg: 9.95 / Max: 10.2 Min: 9.92 / Avg: 10.52 / Max: 11.06 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 100 200 300 400 500 SE +/- 0.55, N = 3 SE +/- 0.82, N = 3 SE +/- 0.34, N = 3 SE +/- 0.65, N = 3 SE +/- 1.01, N = 3 SE +/- 0.87, N = 3 SE +/- 0.46, N = 3 SE +/- 0.45, N = 3 SE +/- 0.34, N = 3 SE +/- 0.42, N = 3 SE +/- 0.69, N = 3 SE +/- 0.24, N = 3 SE +/- 0.57, N = 3 SE +/- 0.25, N = 3 SE +/- 0.55, N = 3 SE +/- 0.35, N = 3 SE +/- 0.45, N = 3 SE +/- 0.42, N = 3 SE +/- 0.74, N = 3 SE +/- 0.32, N = 3 410 382 247 273 459 431 379 358 394 379 287 379 292 387 417 385 356 354 411 455 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 80 160 240 320 400 Min: 409 / Avg: 409.78 / Max: 410.85 Min: 380.08 / Avg: 381.63 / Max: 382.85 Min: 246.43 / Avg: 246.79 / Max: 247.46 Min: 271.74 / Avg: 272.76 / Max: 273.97 Min: 456.83 / Avg: 458.79 / Max: 460.19 Min: 430.11 / Avg: 431.47 / Max: 433.09 Min: 377.64 / Avg: 378.55 / Max: 379.08 Min: 357.4 / Avg: 358.21 / Max: 358.94 Min: 392.93 / Avg: 393.6 / Max: 394.01 Min: 378.79 / Avg: 379.46 / Max: 380.23 Min: 285.71 / Avg: 287.08 / Max: 287.77 Min: 378.5 / Avg: 378.98 / Max: 379.22 Min: 291.21 / Avg: 291.86 / Max: 293 Min: 386.7 / Avg: 386.95 / Max: 387.45 Min: 416.49 / Avg: 417.13 / Max: 418.24 Min: 384.76 / Avg: 385.31 / Max: 385.95 Min: 354.86 / Avg: 355.54 / Max: 356.38 Min: 353.48 / Avg: 354.03 / Max: 354.86 Min: 410.17 / Avg: 411.07 / Max: 412.54 Min: 454.55 / Avg: 454.96 / 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
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 13 26 39 52 65 SE +/- 5.01, N = 12 SE +/- 0.32, N = 3 SE +/- 0.38, N = 3 SE +/- 0.19, N = 15 SE +/- 0.09, N = 3 SE +/- 0.15, N = 8 SE +/- 0.20, N = 15 SE +/- 0.32, N = 3 SE +/- 0.23, N = 10 SE +/- 0.08, N = 3 SE +/- 0.06, N = 3 SE +/- 0.14, N = 3 SE +/- 0.53, N = 4 SE +/- 0.20, N = 3 SE +/- 0.12, N = 3 SE +/- 0.29, N = 3 SE +/- 0.75, N = 3 SE +/- 0.37, N = 3 SE +/- 0.10, N = 3 SE +/- 0.27, N = 3 41.55 35.19 36.84 37.01 31.53 31.97 37.06 34.50 31.41 32.44 33.66 35.05 37.85 34.03 31.68 36.67 57.12 37.22 32.15 33.02 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: yolov4-tiny EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 11 22 33 44 55 Min: 31.9 / Avg: 41.55 / Max: 81.75 Min: 34.57 / Avg: 35.19 / Max: 35.66 Min: 36.08 / Avg: 36.84 / Max: 37.28 Min: 35.8 / Avg: 37.01 / Max: 38.44 Min: 31.37 / Avg: 31.53 / Max: 31.69 Min: 31.22 / Avg: 31.97 / Max: 32.54 Min: 35.91 / Avg: 37.06 / Max: 38.58 Min: 33.95 / Avg: 34.5 / Max: 35.06 Min: 29.4 / Avg: 31.41 / Max: 31.94 Min: 32.35 / Avg: 32.44 / Max: 32.6 Min: 33.55 / Avg: 33.66 / Max: 33.77 Min: 34.79 / Avg: 35.05 / Max: 35.29 Min: 36.65 / Avg: 37.85 / Max: 39.21 Min: 33.75 / Avg: 34.03 / Max: 34.41 Min: 31.55 / Avg: 31.68 / Max: 31.91 Min: 36.2 / Avg: 36.67 / Max: 37.21 Min: 55.66 / Avg: 57.12 / Max: 58.17 Min: 36.6 / Avg: 37.22 / Max: 37.87 Min: 32.01 / Avg: 32.15 / Max: 32.34 Min: 32.49 / Avg: 33.02 / Max: 33.31 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 0.6435 1.287 1.9305 2.574 3.2175 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 6 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 1.79 2.36 2.68 2.83 2.15 1.73 2.04 1.81 1.82 1.87 2.40 1.95 2.86 2.13 1.82 1.81 1.60 1.58 1.79 1.67
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_linearridgeregression EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 2 4 6 8 10 Min: 1.77 / Avg: 1.79 / Max: 1.81 Min: 2.33 / Avg: 2.36 / Max: 2.39 Min: 2.54 / Avg: 2.68 / Max: 2.75 Min: 2.8 / Avg: 2.83 / Max: 2.85 Min: 2.11 / Avg: 2.15 / Max: 2.19 Min: 1.71 / Avg: 1.73 / Max: 1.74 Min: 2.03 / Avg: 2.04 / Max: 2.05 Min: 1.8 / Avg: 1.81 / Max: 1.82 Min: 1.78 / Avg: 1.82 / Max: 1.87 Min: 1.86 / Avg: 1.87 / Max: 1.87 Min: 2.38 / Avg: 2.4 / Max: 2.43 Min: 1.94 / Avg: 1.95 / Max: 1.95 Min: 2.81 / Avg: 2.86 / Max: 2.93 Min: 2.11 / Avg: 2.13 / Max: 2.15 Min: 1.81 / Avg: 1.82 / Max: 1.84 Min: 1.79 / Avg: 1.81 / Max: 1.83 Min: 1.57 / Avg: 1.6 / Max: 1.62 Min: 1.56 / Avg: 1.58 / Max: 1.61 Min: 1.77 / Avg: 1.79 / Max: 1.81 Min: 1.65 / Avg: 1.67 / Max: 1.69
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 20K 40K 60K 80K 100K SE +/- 25.28, N = 5 SE +/- 12.57, N = 5 SE +/- 18.22, N = 5 SE +/- 31.07, N = 5 SE +/- 6.90, N = 5 SE +/- 14.74, N = 5 SE +/- 72.45, N = 5 SE +/- 12.33, N = 5 SE +/- 26.38, N = 5 SE +/- 30.03, N = 5 SE +/- 30.39, N = 5 SE +/- 56.50, N = 5 SE +/- 6.04, N = 5 SE +/- 12.51, N = 5 SE +/- 17.41, N = 5 SE +/- 25.19, N = 5 SE +/- 25.27, N = 5 SE +/- 44.59, N = 5 SE +/- 4.01, N = 5 SE +/- 17.47, N = 5 87319.2 55803.3 90094.8 56700.0 55554.4 87290.0 86874.0 99680.8 100472.4 87264.6 89542.3 96936.0 56930.3 88384.1 87431.1 99219.5 98142.0 98556.1 87289.2 96608.3 1. (CC) gcc options: -O3 -march=native -fopenmp
Result Confidence
OpenBenchmarking.org MB/s, More Is Better Stream 2013-01-17 Type: Triad EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 20K 40K 60K 80K 100K Min: 87260.1 / Avg: 87319.2 / Max: 87406.4 Min: 55754.3 / Avg: 55803.34 / Max: 55821.7 Min: 90053.2 / Avg: 90094.84 / Max: 90158.1 Min: 56629.4 / Avg: 56699.96 / Max: 56804.8 Min: 55541.4 / Avg: 55554.36 / Max: 55572.4 Min: 87238.2 / Avg: 87289.96 / Max: 87329.8 Min: 86636.8 / Avg: 86874.04 / Max: 87045.1 Min: 99646.9 / Avg: 99680.84 / Max: 99709.1 Min: 100414.3 / Avg: 100472.42 / Max: 100561.7 Min: 87180.8 / Avg: 87264.58 / Max: 87339.6 Min: 89428.4 / Avg: 89542.34 / Max: 89605.9 Min: 96848.4 / Avg: 96936.04 / Max: 97157.8 Min: 56912.4 / Avg: 56930.26 / Max: 56947.5 Min: 88351.5 / Avg: 88384.12 / Max: 88427.6 Min: 87364.6 / Avg: 87431.12 / Max: 87463.3 Min: 99181.5 / Avg: 99219.46 / Max: 99317.5 Min: 98063.6 / Avg: 98142.04 / Max: 98195.6 Min: 98388.6 / Avg: 98556.06 / Max: 98643.1 Min: 87276 / Avg: 87289.18 / Max: 87301 Min: 96567.9 / Avg: 96608.26 / Max: 96668.9 1. (CC) gcc options: -O3 -march=native -fopenmp
PostgreSQL pgbench This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1000 - Clients: 100 - Mode: Read Write EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 7K 14K 21K 28K 35K SE +/- 132.62, N = 3 SE +/- 42.24, N = 3 SE +/- 42.70, N = 3 SE +/- 44.39, N = 3 SE +/- 57.62, N = 3 SE +/- 147.71, N = 3 SE +/- 52.15, N = 3 SE +/- 9.73, N = 3 SE +/- 210.97, N = 3 SE +/- 147.21, N = 3 SE +/- 48.99, N = 3 SE +/- 82.99, N = 3 SE +/- 38.90, N = 3 SE +/- 24.50, N = 3 SE +/- 93.09, N = 3 SE +/- 101.40, N = 3 SE +/- 33.78, N = 3 SE +/- 118.59, N = 3 SE +/- 70.45, N = 3 SE +/- 182.35, N = 3 30608 26353 17773 19178 30264 31925 28983 27104 25631 27817 18968 30056 18526 26710 29755 28052 30234 28946 30472 30635 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 6K 12K 18K 24K 30K Min: 30344.25 / Avg: 30608.03 / Max: 30764.02 Min: 26282.22 / Avg: 26352.9 / Max: 26428.32 Min: 17717.75 / Avg: 17772.88 / Max: 17856.94 Min: 19092.39 / Avg: 19177.91 / Max: 19241.32 Min: 30148.99 / Avg: 30264.23 / Max: 30322.74 Min: 31629.49 / Avg: 31924.55 / Max: 32084.7 Min: 28879.4 / Avg: 28983.04 / Max: 29045.02 Min: 27089.74 / Avg: 27103.73 / Max: 27122.43 Min: 25306.01 / Avg: 25631.36 / Max: 26026.7 Min: 27578.49 / Avg: 27817.02 / Max: 28085.76 Min: 18870.47 / Avg: 18968.29 / Max: 19022.11 Min: 29898.19 / Avg: 30055.53 / Max: 30179.97 Min: 18453.24 / Avg: 18526.01 / Max: 18586.25 Min: 26674.67 / Avg: 26710.42 / Max: 26757.31 Min: 29586.2 / Avg: 29754.83 / Max: 29907.47 Min: 27946.46 / Avg: 28051.59 / Max: 28254.36 Min: 30166.75 / Avg: 30234.16 / Max: 30271.83 Min: 28709.38 / Avg: 28946.44 / Max: 29071.66 Min: 30351.66 / Avg: 30472.2 / Max: 30595.65 Min: 30422.57 / Avg: 30634.68 / Max: 30997.65 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 20K 40K 60K 80K 100K SE +/- 18.08, N = 5 SE +/- 33.21, N = 5 SE +/- 22.12, N = 5 SE +/- 29.37, N = 5 SE +/- 7.59, N = 5 SE +/- 12.50, N = 5 SE +/- 86.08, N = 5 SE +/- 34.39, N = 5 SE +/- 13.28, N = 5 SE +/- 12.81, N = 5 SE +/- 40.08, N = 5 SE +/- 27.16, N = 5 SE +/- 12.43, N = 5 SE +/- 15.92, N = 5 SE +/- 18.34, N = 5 SE +/- 23.52, N = 5 SE +/- 35.94, N = 5 SE +/- 32.77, N = 5 SE +/- 23.76, N = 5 SE +/- 14.01, N = 5 79627.0 51571.1 82215.9 52030.3 51217.1 79643.9 79301.4 91183.6 91926.7 79606.6 81278.9 88756.6 52350.5 80513.0 79953.8 90802.5 89704.6 90228.3 79634.2 88258.2 1. (CC) gcc options: -O3 -march=native -fopenmp
Result Confidence
OpenBenchmarking.org MB/s, More Is Better Stream 2013-01-17 Type: Copy EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 16K 32K 48K 64K 80K Min: 79577.9 / Avg: 79627.04 / Max: 79677.1 Min: 51446.9 / Avg: 51571.1 / Max: 51646.4 Min: 82156.7 / Avg: 82215.88 / Max: 82275.5 Min: 51965.2 / Avg: 52030.26 / Max: 52108.8 Min: 51191.8 / Avg: 51217.06 / Max: 51236 Min: 79601.5 / Avg: 79643.86 / Max: 79678.1 Min: 79070.7 / Avg: 79301.44 / Max: 79534.5 Min: 91080.3 / Avg: 91183.56 / Max: 91262.4 Min: 91885.9 / Avg: 91926.68 / Max: 91960.2 Min: 79558.1 / Avg: 79606.62 / Max: 79628.9 Min: 81165 / Avg: 81278.94 / Max: 81396.4 Min: 88696.8 / Avg: 88756.64 / Max: 88824.7 Min: 52328.6 / Avg: 52350.52 / Max: 52398.9 Min: 80462.4 / Avg: 80513 / Max: 80556.1 Min: 79896.3 / Avg: 79953.78 / Max: 80003.9 Min: 90737.9 / Avg: 90802.52 / Max: 90873.1 Min: 89606.3 / Avg: 89704.6 / Max: 89822.2 Min: 90109.3 / Avg: 90228.28 / Max: 90303.3 Min: 79574.2 / Avg: 79634.24 / Max: 79689.4 Min: 88222.2 / Avg: 88258.16 / Max: 88304.6 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 1.2668 2.5336 3.8004 5.0672 6.334 SE +/- 0.013, N = 3 SE +/- 0.006, N = 3 SE +/- 0.013, N = 3 SE +/- 0.013, N = 3 SE +/- 0.006, N = 3 SE +/- 0.014, N = 3 SE +/- 0.006, N = 3 SE +/- 0.001, N = 3 SE +/- 0.032, N = 3 SE +/- 0.019, N = 3 SE +/- 0.014, N = 3 SE +/- 0.010, N = 3 SE +/- 0.011, N = 3 SE +/- 0.003, N = 3 SE +/- 0.010, N = 3 SE +/- 0.013, N = 3 SE +/- 0.004, N = 3 SE +/- 0.015, N = 3 SE +/- 0.008, N = 3 SE +/- 0.019, N = 3 3.272 3.797 5.630 5.218 3.307 3.137 3.456 3.696 3.906 3.600 5.275 3.333 5.401 3.748 3.366 3.572 3.313 3.460 3.287 3.269 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 2 4 6 8 10 Min: 3.26 / Avg: 3.27 / Max: 3.3 Min: 3.79 / Avg: 3.8 / Max: 3.81 Min: 5.6 / Avg: 5.63 / Max: 5.65 Min: 5.2 / Avg: 5.22 / Max: 5.24 Min: 3.3 / Avg: 3.31 / Max: 3.32 Min: 3.12 / Avg: 3.14 / Max: 3.17 Min: 3.45 / Avg: 3.46 / Max: 3.47 Min: 3.69 / Avg: 3.7 / Max: 3.7 Min: 3.85 / Avg: 3.91 / Max: 3.96 Min: 3.57 / Avg: 3.6 / Max: 3.63 Min: 5.26 / Avg: 5.28 / Max: 5.3 Min: 3.32 / Avg: 3.33 / Max: 3.35 Min: 5.38 / Avg: 5.4 / Max: 5.42 Min: 3.74 / Avg: 3.75 / Max: 3.75 Min: 3.35 / Avg: 3.37 / Max: 3.39 Min: 3.55 / Avg: 3.57 / Max: 3.59 Min: 3.31 / Avg: 3.31 / Max: 3.32 Min: 3.44 / Avg: 3.46 / Max: 3.49 Min: 3.27 / Avg: 3.29 / Max: 3.3 Min: 3.23 / Avg: 3.27 / Max: 3.29 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 20K 40K 60K 80K 100K SE +/- 9.61, N = 5 SE +/- 17.33, N = 5 SE +/- 18.90, N = 5 SE +/- 44.14, N = 5 SE +/- 8.29, N = 5 SE +/- 16.43, N = 5 SE +/- 95.95, N = 5 SE +/- 18.47, N = 5 SE +/- 27.65, N = 5 SE +/- 29.22, N = 5 SE +/- 17.48, N = 5 SE +/- 31.32, N = 5 SE +/- 4.03, N = 5 SE +/- 12.35, N = 5 SE +/- 18.59, N = 5 SE +/- 26.54, N = 5 SE +/- 145.28, N = 5 SE +/- 27.85, N = 5 SE +/- 15.47, N = 5 SE +/- 14.97, N = 5 87013.3 55696.1 89746.0 56552.7 55485.1 87010.8 86384.2 98566.4 99400.2 86940.2 89222.7 96255.6 56973.5 88008.9 87137.3 98124.1 96867.4 97473.2 86951.1 95753.8 1. (CC) gcc options: -O3 -march=native -fopenmp
Result Confidence
OpenBenchmarking.org MB/s, More Is Better Stream 2013-01-17 Type: Add EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 20K 40K 60K 80K 100K Min: 86981.9 / Avg: 87013.34 / Max: 87042.1 Min: 55667.7 / Avg: 55696.1 / Max: 55762 Min: 89676.2 / Avg: 89746.04 / Max: 89780.1 Min: 56402.9 / Avg: 56552.7 / Max: 56673.4 Min: 55463.1 / Avg: 55485.12 / Max: 55514.5 Min: 86947.4 / Avg: 87010.8 / Max: 87038.3 Min: 86095.1 / Avg: 86384.16 / Max: 86677.1 Min: 98509.9 / Avg: 98566.42 / Max: 98618.9 Min: 99329.3 / Avg: 99400.16 / Max: 99494.2 Min: 86849.1 / Avg: 86940.18 / Max: 87029.3 Min: 89186 / Avg: 89222.66 / Max: 89285.6 Min: 96153.7 / Avg: 96255.6 / Max: 96319.3 Min: 56958.2 / Avg: 56973.52 / Max: 56980.1 Min: 87976.2 / Avg: 88008.86 / Max: 88050.9 Min: 87066.9 / Avg: 87137.32 / Max: 87168.7 Min: 98047.4 / Avg: 98124.06 / Max: 98175.5 Min: 96350.6 / Avg: 96867.36 / Max: 97091.3 Min: 97374.9 / Avg: 97473.24 / Max: 97525.9 Min: 86894.1 / Avg: 86951.12 / Max: 86978.2 Min: 95708.5 / Avg: 95753.82 / Max: 95792.3 1. (CC) gcc options: -O3 -march=native -fopenmp
Result
OpenBenchmarking.org MB/s, More Is Better Stream 2013-01-17 Type: Scale EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 20K 40K 60K 80K 100K SE +/- 18.84, N = 5 SE +/- 26.50, N = 5 SE +/- 26.46, N = 5 SE +/- 45.85, N = 5 SE +/- 12.22, N = 5 SE +/- 22.40, N = 5 SE +/- 107.49, N = 5 SE +/- 19.39, N = 5 SE +/- 97.97, N = 5 SE +/- 34.50, N = 5 SE +/- 60.32, N = 5 SE +/- 33.78, N = 5 SE +/- 17.43, N = 5 SE +/- 33.32, N = 5 SE +/- 20.95, N = 5 SE +/- 51.61, N = 5 SE +/- 88.18, N = 5 SE +/- 50.29, N = 5 SE +/- 35.41, N = 5 SE +/- 8.10, N = 5 79082.1 51795.4 82753.0 52614.3 51214.0 78989.7 78936.4 90222.2 91285.9 78981.2 81891.4 87456.3 52916.0 80191.9 79498.2 89250.4 87987.8 88346.1 79087.5 87569.0 1. (CC) gcc options: -O3 -march=native -fopenmp
Result Confidence
OpenBenchmarking.org MB/s, More Is Better Stream 2013-01-17 Type: Scale EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 16K 32K 48K 64K 80K Min: 79043.7 / Avg: 79082.08 / Max: 79153.7 Min: 51724.9 / Avg: 51795.42 / Max: 51860.4 Min: 82700.4 / Avg: 82753.02 / Max: 82849.4 Min: 52481.3 / Avg: 52614.34 / Max: 52732.4 Min: 51177 / Avg: 51214 / Max: 51245.7 Min: 78922.8 / Avg: 78989.74 / Max: 79043.7 Min: 78534.9 / Avg: 78936.38 / Max: 79176.1 Min: 90166.2 / Avg: 90222.16 / Max: 90277.7 Min: 90897.7 / Avg: 91285.88 / Max: 91424 Min: 78875.5 / Avg: 78981.18 / Max: 79054.8 Min: 81779.2 / Avg: 81891.38 / Max: 82097.4 Min: 87379.1 / Avg: 87456.34 / Max: 87579.8 Min: 52874.9 / Avg: 52915.96 / Max: 52971.3 Min: 80111.8 / Avg: 80191.92 / Max: 80273.8 Min: 79424.4 / Avg: 79498.2 / Max: 79534.5 Min: 89101.9 / Avg: 89250.36 / Max: 89401 Min: 87752.7 / Avg: 87987.76 / Max: 88246.6 Min: 88183.9 / Avg: 88346.14 / Max: 88465.3 Min: 78996.2 / Avg: 79087.5 / Max: 79204.1 Min: 87542.1 / Avg: 87569.02 / Max: 87590 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7502P EPYC 7F72 20 40 60 80 100 SE +/- 0.18, N = 3 SE +/- 0.25, N = 3 SE +/- 0.06, N = 3 SE +/- 0.35, N = 3 SE +/- 0.27, N = 3 SE +/- 0.22, N = 3 SE +/- 0.36, N = 3 SE +/- 0.39, N = 3 SE +/- 0.19, N = 3 SE +/- 0.26, N = 3 SE +/- 0.12, N = 3 SE +/- 0.38, N = 3 SE +/- 0.16, N = 3 SE +/- 0.08, N = 3 SE +/- 0.13, N = 3 SE +/- 0.21, N = 3 66.24 88.74 103.24 111.13 79.29 64.52 76.78 68.96 63.82 67.94 89.80 109.66 75.21 68.80 66.64 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7502P EPYC 7F72 20 40 60 80 100 Min: 66.05 / Avg: 66.24 / Max: 66.59 Min: 88.3 / Avg: 88.74 / Max: 89.16 Min: 103.16 / Avg: 103.24 / Max: 103.35 Min: 110.64 / Avg: 111.13 / Max: 111.79 Min: 78.76 / Avg: 79.29 / Max: 79.57 Min: 64.27 / Avg: 64.51 / Max: 64.96 Min: 76.12 / Avg: 76.78 / Max: 77.36 Min: 68.24 / Avg: 68.96 / Max: 69.6 Min: 63.45 / Avg: 63.82 / Max: 64.1 Min: 67.52 / Avg: 67.94 / Max: 68.41 Min: 89.62 / Avg: 89.8 / Max: 90.03 Min: 109.05 / Avg: 109.66 / Max: 110.37 Min: 74.93 / Avg: 75.21 / Max: 75.47 Min: 68.66 / Avg: 68.8 / Max: 68.93 Min: 66.44 / Avg: 66.64 / Max: 66.88 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 1400 2800 4200 5600 7000 SE +/- 35.97, N = 4 SE +/- 45.90, N = 4 SE +/- 63.10, N = 4 SE +/- 52.81, N = 4 SE +/- 43.33, N = 4 SE +/- 22.38, N = 4 SE +/- 52.55, N = 4 SE +/- 37.98, N = 4 SE +/- 44.91, N = 4 SE +/- 70.51, N = 4 SE +/- 38.45, N = 4 SE +/- 38.12, N = 4 SE +/- 38.97, N = 4 SE +/- 30.25, N = 4 SE +/- 40.00, N = 4 SE +/- 41.17, N = 4 SE +/- 69.19, N = 4 SE +/- 31.24, N = 4 SE +/- 20.63, N = 4 SE +/- 29.68, N = 4 5808 4856 4433 4541 5029 5713 5633 5856 3856 5754 3724 6270 4712 5051 5457 6196 6443 6596 5727 4123
Result Confidence
OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 9.12-MR1 Java Test: H2 EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 1100 2200 3300 4400 5500 Min: 5746 / Avg: 5807.5 / Max: 5908 Min: 4734 / Avg: 4855.75 / Max: 4957 Min: 4326 / Avg: 4433.25 / Max: 4587 Min: 4417 / Avg: 4540.5 / Max: 4664 Min: 4903 / Avg: 5028.5 / Max: 5102 Min: 5658 / Avg: 5712.5 / Max: 5753 Min: 5484 / Avg: 5633 / Max: 5724 Min: 5756 / Avg: 5855.5 / Max: 5939 Min: 3739 / Avg: 3856 / Max: 3927 Min: 5574 / Avg: 5753.75 / Max: 5903 Min: 3675 / Avg: 3724.25 / Max: 3839 Min: 6211 / Avg: 6270 / Max: 6381 Min: 4618 / Avg: 4712 / Max: 4803 Min: 4966 / Avg: 5050.75 / Max: 5105 Min: 5386 / Avg: 5457.25 / Max: 5529 Min: 6082 / Avg: 6195.75 / Max: 6270 Min: 6285 / Avg: 6442.5 / Max: 6622 Min: 6503 / Avg: 6595.5 / Max: 6640 Min: 5686 / Avg: 5727 / Max: 5764 Min: 4069 / Avg: 4122.75 / Max: 4194
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 5K 10K 15K 20K 25K SE +/- 155.52, N = 12 SE +/- 323.02, N = 3 SE +/- 211.99, N = 3 SE +/- 42.70, N = 3 SE +/- 217.91, N = 3 SE +/- 280.35, N = 3 SE +/- 239.42, N = 3 SE +/- 72.02, N = 3 SE +/- 319.14, N = 3 SE +/- 259.43, N = 4 SE +/- 110.61, N = 3 SE +/- 221.68, N = 5 SE +/- 118.88, N = 3 SE +/- 240.93, N = 3 SE +/- 159.08, N = 3 SE +/- 43.29, N = 3 SE +/- 122.79, N = 13 SE +/- 280.41, N = 3 SE +/- 142.85, N = 3 SE +/- 187.50, N = 3 18522.93 19909.57 19338.54 20799.73 20819.97 19075.07 15123.65 13145.41 21582.81 18480.81 23233.00 18207.44 21863.96 19739.79 18249.35 17395.25 15257.55 16873.45 17798.97 17666.54 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 4K 8K 12K 16K 20K Min: 17705.49 / Avg: 18522.93 / Max: 19423.51 Min: 19512.83 / Avg: 19909.57 / Max: 20549.49 Min: 18915.03 / Avg: 19338.54 / Max: 19567.68 Min: 20746.03 / Avg: 20799.73 / Max: 20884.09 Min: 20414.34 / Avg: 20819.97 / Max: 21160.81 Min: 18515.2 / Avg: 19075.07 / Max: 19381.66 Min: 14646.18 / Avg: 15123.65 / Max: 15393.69 Min: 13030.5 / Avg: 13145.41 / Max: 13278.1 Min: 21033.37 / Avg: 21582.81 / Max: 22138.83 Min: 17861.61 / Avg: 18480.81 / Max: 18982.48 Min: 23060.25 / Avg: 23233 / Max: 23439.06 Min: 17459.27 / Avg: 18207.44 / Max: 18715.49 Min: 21744.25 / Avg: 21863.96 / Max: 22101.73 Min: 19334.26 / Avg: 19739.79 / Max: 20167.93 Min: 18085.74 / Avg: 18249.35 / Max: 18567.46 Min: 17319.17 / Avg: 17395.25 / Max: 17469.08 Min: 14565.09 / Avg: 15257.55 / Max: 16057.81 Min: 16389.37 / Avg: 16873.45 / Max: 17360.71 Min: 17553.05 / Avg: 17798.97 / Max: 18047.88 Min: 17297.65 / Avg: 17666.54 / Max: 17909.38 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 110K 220K 330K 440K 550K SE +/- 4362.99, N = 3 SE +/- 553.73, N = 3 SE +/- 317.40, N = 3 SE +/- 333.77, N = 3 SE +/- 1069.53, N = 3 SE +/- 5397.86, N = 3 SE +/- 153.43, N = 3 SE +/- 526.59, N = 3 SE +/- 454.86, N = 3 SE +/- 3875.11, N = 3 SE +/- 151.23, N = 3 SE +/- 2254.42, N = 3 SE +/- 988.10, N = 3 SE +/- 387.43, N = 3 SE +/- 5200.29, N = 3 SE +/- 2100.86, N = 3 SE +/- 1889.52, N = 3 SE +/- 1968.01, N = 3 SE +/- 4653.97, N = 3 SE +/- 296.51, N = 3 406779.77 416979.46 442279.44 338725.99 394488.53 408037.40 387954.79 335428.63 509785.83 400360.82 509178.11 399369.85 289487.99 337766.57 434178.88 424385.84 402875.35 403206.36 406722.26 365769.88 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 90K 180K 270K 360K 450K Min: 398632.17 / Avg: 406779.77 / Max: 413559.03 Min: 416080.83 / Avg: 416979.46 / Max: 417989.3 Min: 441671.08 / Avg: 442279.44 / Max: 442740.63 Min: 338338.48 / Avg: 338725.99 / Max: 339390.48 Min: 392385.92 / Avg: 394488.53 / Max: 395880.4 Min: 398157.78 / Avg: 408037.4 / Max: 416746.25 Min: 387663.63 / Avg: 387954.79 / Max: 388184.29 Min: 334600.86 / Avg: 335428.63 / Max: 336406.41 Min: 509318.56 / Avg: 509785.83 / Max: 510695.43 Min: 392650.92 / Avg: 400360.82 / Max: 404899.47 Min: 508921.37 / Avg: 509178.11 / Max: 509444.95 Min: 395001.31 / Avg: 399369.85 / Max: 402520.6 Min: 287852.67 / Avg: 289487.99 / Max: 291266.56 Min: 337027.91 / Avg: 337766.57 / Max: 338338.6 Min: 424348.06 / Avg: 434178.88 / Max: 442034.56 Min: 420677.52 / Avg: 424385.84 / Max: 427950.88 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: 365364.92 / Avg: 365769.88 / Max: 366347.54 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7502P EPYC 7F72 15 30 45 60 75 SE +/- 0.03, N = 3 SE +/- 0.18, N = 3 SE +/- 0.10, N = 3 SE +/- 0.15, N = 3 SE +/- 0.23, N = 3 SE +/- 0.05, N = 3 SE +/- 0.10, N = 3 SE +/- 0.18, N = 3 SE +/- 0.19, N = 3 SE +/- 0.10, N = 3 SE +/- 0.06, N = 3 SE +/- 0.29, N = 3 SE +/- 0.21, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 40.03 53.88 62.01 66.32 47.51 38.73 46.33 41.28 38.59 40.97 53.95 65.94 45.25 41.26 40.00 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7502P EPYC 7F72 13 26 39 52 65 Min: 39.98 / Avg: 40.03 / Max: 40.08 Min: 53.6 / Avg: 53.88 / Max: 54.21 Min: 61.82 / Avg: 62.01 / Max: 62.12 Min: 66.03 / Avg: 66.32 / Max: 66.54 Min: 47.21 / Avg: 47.51 / Max: 47.96 Min: 38.64 / Avg: 38.72 / Max: 38.81 Min: 46.14 / Avg: 46.33 / Max: 46.45 Min: 41.04 / Avg: 41.28 / Max: 41.64 Min: 38.31 / Avg: 38.59 / Max: 38.96 Min: 40.77 / Avg: 40.97 / Max: 41.1 Min: 53.84 / Avg: 53.95 / Max: 54.03 Min: 65.38 / Avg: 65.94 / Max: 66.34 Min: 44.95 / Avg: 45.25 / Max: 45.64 Min: 41.22 / Avg: 41.26 / Max: 41.28 Min: 39.91 / Avg: 40 / Max: 40.04 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 60 120 180 240 300 169.79 216.88 283.43 288.52 187.00 168.49 181.45 182.49 190.98 174.46 258.08 178.69 294.77 192.27 171.91 180.85 179.75 178.64 169.80 173.88
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, 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 +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 6.98 9.16 5.29 5.62 8.40 6.81 7.89 7.14 6.85 7.13 8.84 6.76 5.51 8.07 7.25 6.75 6.58 6.62 6.99 6.66 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 3 6 9 12 15 Min: 6.97 / Avg: 6.98 / Max: 7 Min: 9.14 / Avg: 9.16 / Max: 9.18 Min: 5.29 / Avg: 5.29 / Max: 5.3 Min: 5.61 / Avg: 5.62 / Max: 5.62 Min: 8.38 / Avg: 8.4 / Max: 8.43 Min: 6.8 / Avg: 6.81 / Max: 6.81 Min: 7.87 / Avg: 7.89 / Max: 7.9 Min: 7.13 / Avg: 7.14 / Max: 7.15 Min: 6.84 / Avg: 6.85 / Max: 6.86 Min: 7.12 / Avg: 7.13 / Max: 7.15 Min: 8.82 / Avg: 8.84 / Max: 8.85 Min: 6.74 / Avg: 6.76 / Max: 6.78 Min: 5.51 / Avg: 5.51 / Max: 5.52 Min: 8.05 / Avg: 8.07 / Max: 8.09 Min: 7.24 / Avg: 7.25 / Max: 7.26 Min: 6.73 / Avg: 6.75 / Max: 6.77 Min: 6.57 / Avg: 6.58 / Max: 6.6 Min: 6.6 / Avg: 6.62 / Max: 6.66 Min: 6.97 / Avg: 6.99 / Max: 7 Min: 6.63 / Avg: 6.66 / Max: 6.67 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 20 40 60 80 100 SE +/- 0.07, N = 3 SE +/- 0.06, N = 3 SE +/- 0.19, N = 3 SE +/- 0.22, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.09, N = 3 SE +/- 0.07, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.09, N = 3 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 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 +/- 0.01, N = 3 48.93 64.67 72.31 76.74 58.62 47.62 54.65 49.59 47.86 49.82 63.45 47.22 79.22 56.04 50.64 46.95 45.96 46.18 48.84 45.82
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed PHP Compilation 7.4.2 Time To Compile EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 15 30 45 60 75 Min: 48.79 / Avg: 48.93 / Max: 49.03 Min: 64.6 / Avg: 64.67 / Max: 64.79 Min: 71.93 / Avg: 72.31 / Max: 72.57 Min: 76.36 / Avg: 76.74 / Max: 77.12 Min: 58.53 / Avg: 58.62 / Max: 58.68 Min: 47.6 / Avg: 47.62 / Max: 47.65 Min: 54.53 / Avg: 54.65 / Max: 54.82 Min: 49.5 / Avg: 49.59 / Max: 49.74 Min: 47.82 / Avg: 47.86 / Max: 47.88 Min: 49.8 / Avg: 49.82 / Max: 49.86 Min: 63.31 / Avg: 63.45 / Max: 63.6 Min: 47.14 / Avg: 47.22 / Max: 47.29 Min: 79.14 / Avg: 79.22 / Max: 79.35 Min: 55.96 / Avg: 56.04 / Max: 56.12 Min: 50.54 / Avg: 50.64 / Max: 50.72 Min: 46.91 / Avg: 46.95 / Max: 47 Min: 45.86 / Avg: 45.96 / Max: 46.04 Min: 46.1 / Avg: 46.18 / Max: 46.3 Min: 48.79 / Avg: 48.84 / Max: 48.9 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 6 12 18 24 30 SE +/- 0.12, N = 3 SE +/- 0.06, N = 3 SE +/- 0.07, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.10, N = 3 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 SE +/- 0.11, N = 3 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 SE +/- 0.16, N = 3 SE +/- 0.14, N = 3 SE +/- 0.02, N = 3 SE +/- 0.08, N = 3 SE +/- 0.05, N = 3 SE +/- 0.10, N = 3 SE +/- 0.08, N = 3 SE +/- 0.09, N = 3 SE +/- 0.07, N = 3 16.32 21.84 24.63 26.18 19.81 15.86 18.48 16.65 16.13 16.79 21.45 15.92 26.47 18.92 16.98 15.87 16.10 15.91 16.28 15.44
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better OCRMyPDF 10.3.1+dfsg Processing 60 Page PDF Document EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 6 12 18 24 30 Min: 16.1 / Avg: 16.32 / Max: 16.52 Min: 21.75 / Avg: 21.84 / Max: 21.96 Min: 24.56 / Avg: 24.63 / Max: 24.77 Min: 26.12 / Avg: 26.18 / Max: 26.25 Min: 19.75 / Avg: 19.81 / Max: 19.86 Min: 15.72 / Avg: 15.86 / Max: 16.06 Min: 18.4 / Avg: 18.48 / Max: 18.57 Min: 16.55 / Avg: 16.65 / Max: 16.77 Min: 15.95 / Avg: 16.13 / Max: 16.32 Min: 16.72 / Avg: 16.79 / Max: 16.88 Min: 21.38 / Avg: 21.45 / Max: 21.59 Min: 15.62 / Avg: 15.92 / Max: 16.18 Min: 26.32 / Avg: 26.47 / Max: 26.75 Min: 18.88 / Avg: 18.92 / Max: 18.95 Min: 16.83 / Avg: 16.98 / Max: 17.08 Min: 15.77 / Avg: 15.87 / Max: 15.96 Min: 15.99 / Avg: 16.1 / Max: 16.31 Min: 15.78 / Avg: 15.91 / Max: 16.06 Min: 16.15 / Avg: 16.28 / Max: 16.44 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 2K 4K 6K 8K 10K SE +/- 73.24, N = 3 SE +/- 26.82, N = 3 SE +/- 91.17, N = 3 SE +/- 51.10, N = 3 SE +/- 18.60, N = 3 SE +/- 62.39, N = 3 SE +/- 21.51, N = 3 SE +/- 120.12, N = 4 SE +/- 56.37, N = 3 SE +/- 85.19, N = 3 SE +/- 94.23, N = 3 SE +/- 47.55, N = 3 SE +/- 21.13, N = 3 SE +/- 46.59, N = 3 SE +/- 21.95, N = 3 SE +/- 41.92, N = 3 SE +/- 33.91, N = 3 SE +/- 34.11, N = 3 SE +/- 21.22, N = 3 SE +/- 19.00, N = 3 7798.1 6268.0 6043.6 5603.3 6630.5 7767.9 7663.0 8078.1 8021.9 7704.5 6299.5 8211.2 4992.3 7464.0 7898.1 8485.3 8339.1 8321.8 7843.2 8474.7 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 1500 3000 4500 6000 7500 Min: 7708.2 / Avg: 7798.1 / Max: 7943.2 Min: 6238.3 / Avg: 6267.97 / Max: 6321.5 Min: 5931.9 / Avg: 6043.63 / Max: 6224.3 Min: 5543.9 / Avg: 5603.27 / Max: 5705 Min: 6604.6 / Avg: 6630.53 / Max: 6666.6 Min: 7675.6 / Avg: 7767.93 / Max: 7886.8 Min: 7630 / Avg: 7663 / Max: 7703.4 Min: 7939.2 / Avg: 8078.13 / Max: 8437.6 Min: 7956.8 / Avg: 8021.93 / Max: 8134.2 Min: 7601.2 / Avg: 7704.5 / Max: 7873.5 Min: 6179.4 / Avg: 6299.47 / Max: 6485.3 Min: 8157.2 / Avg: 8211.2 / Max: 8306 Min: 4963.2 / Avg: 4992.3 / Max: 5033.4 Min: 7410.3 / Avg: 7464 / Max: 7556.8 Min: 7872.6 / Avg: 7898.1 / Max: 7941.8 Min: 8407.9 / Avg: 8485.3 / Max: 8551.9 Min: 8271.3 / Avg: 8339.07 / Max: 8375.2 Min: 8253.7 / Avg: 8321.83 / Max: 8358.7 Min: 7818.2 / Avg: 7843.2 / Max: 7885.4 Min: 8438.3 / Avg: 8474.67 / Max: 8502.4 1. (CC) gcc options: -O3 -pthread -lz -llzma
AI Benchmark Alpha AI Benchmark Alpha is a Python library for evaluating artificial intelligence (AI) performance on diverse hardware platforms and relies upon the TensorFlow machine learning library. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Score, More Is Better AI Benchmark Alpha 0.1.2 Device AI Score EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 700 1400 2100 2800 3500 3181 2452 1939 1965 2673 3261 2917 3045 3012 3114 2220 3124 1994 2771 3084 3154 2905 3020 3177 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 300 600 900 1200 1500 SE +/- 0.30, N = 4 SE +/- 0.83, N = 3 SE +/- 3.68, N = 3 SE +/- 2.79, N = 3 SE +/- 0.77, N = 4 SE +/- 1.18, N = 3 SE +/- 1.50, N = 3 SE +/- 1.23, N = 3 SE +/- 2.11, N = 3 SE +/- 2.62, N = 3 SE +/- 4.63, N = 3 SE +/- 1.63, N = 3 SE +/- 8.56, N = 3 SE +/- 1.58, N = 3 SE +/- 0.24, N = 5 SE +/- 1.36, N = 3 SE +/- 1.25, N = 3 SE +/- 3.47, N = 3 SE +/- 1.44, N = 3 SE +/- 0.50, N = 3 1090 1114 743 833 1240 1155 993 961 1105 1002 876 1060 889 1041 1103 1086 1021 1015 1097 1227 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 200 400 600 800 1000 Min: 1089.32 / Avg: 1090.22 / Max: 1090.51 Min: 1112.35 / Avg: 1114 / Max: 1114.83 Min: 736.92 / Avg: 742.98 / Max: 749.63 Min: 830.56 / Avg: 833.35 / Max: 838.93 Min: 1237.62 / Avg: 1239.93 / Max: 1240.69 Min: 1153.4 / Avg: 1155.18 / Max: 1157.41 Min: 990.1 / Avg: 993.05 / Max: 995.02 Min: 959.69 / Avg: 960.93 / Max: 963.39 Min: 1101.32 / Avg: 1104.98 / Max: 1108.65 Min: 998 / Avg: 1002.35 / Max: 1007.05 Min: 871.84 / Avg: 876.47 / Max: 885.74 Min: 1057.08 / Avg: 1059.7 / Max: 1062.7 Min: 872.6 / Avg: 888.79 / Max: 901.71 Min: 1038.42 / Avg: 1040.95 / Max: 1043.84 Min: 1102.54 / Avg: 1102.78 / Max: 1103.75 Min: 1083.42 / Avg: 1085.78 / Max: 1088.14 Min: 1019.37 / Avg: 1021.11 / Max: 1023.54 Min: 1008.06 / Avg: 1014.91 / Max: 1019.37 Min: 1094.09 / Avg: 1096.9 / Max: 1098.9 Min: 1226.99 / Avg: 1227.5 / Max: 1228.5 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 2K 4K 6K 8K 10K SE +/- 72.87, N = 3 SE +/- 31.67, N = 3 SE +/- 19.99, N = 3 SE +/- 38.69, N = 3 SE +/- 22.62, N = 3 SE +/- 45.72, N = 3 SE +/- 59.36, N = 3 SE +/- 67.32, N = 3 SE +/- 84.62, N = 3 SE +/- 67.10, N = 3 SE +/- 56.43, N = 3 SE +/- 49.67, N = 3 SE +/- 9.98, N = 3 SE +/- 74.06, N = 3 SE +/- 75.43, N = 3 SE +/- 69.06, N = 3 SE +/- 55.27, N = 3 SE +/- 38.94, N = 3 SE +/- 51.03, N = 3 SE +/- 63.84, N = 3 8254.8 9002.0 9816.4 8906.2 8883.6 8456.8 8470.3 8415.7 10471.3 8193.8 10244.2 7149.7 9011.8 9507.9 8962.6 7229.5 6319.4 6361.2 8367.0 9851.8 1. (CXX) g++ options: -rdynamic
Result Confidence
OpenBenchmarking.org MB/s, More Is Better C-Blosc 2.0 Beta 5 Compressor: blosclz EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 2K 4K 6K 8K 10K Min: 8159.2 / Avg: 8254.83 / Max: 8397.9 Min: 8939.4 / Avg: 9002.03 / Max: 9041.5 Min: 9795.6 / Avg: 9816.43 / Max: 9856.4 Min: 8829.1 / Avg: 8906.2 / Max: 8950.5 Min: 8858.7 / Avg: 8883.63 / Max: 8928.8 Min: 8399.3 / Avg: 8456.77 / Max: 8547.1 Min: 8388.4 / Avg: 8470.33 / Max: 8585.7 Min: 8327.9 / Avg: 8415.7 / Max: 8548 Min: 10350.7 / Avg: 10471.27 / Max: 10634.4 Min: 8080 / Avg: 8193.77 / Max: 8312.3 Min: 10164 / Avg: 10244.23 / Max: 10353.1 Min: 7055.1 / Avg: 7149.67 / Max: 7223.3 Min: 8991.8 / Avg: 9011.77 / Max: 9021.9 Min: 9415.7 / Avg: 9507.9 / Max: 9654.4 Min: 8857.8 / Avg: 8962.63 / Max: 9109 Min: 7104.2 / Avg: 7229.47 / Max: 7342.5 Min: 6256.4 / Avg: 6319.43 / Max: 6429.6 Min: 6314.4 / Avg: 6361.2 / Max: 6438.5 Min: 8286.7 / Avg: 8366.97 / Max: 8461.7 Min: 9769.2 / Avg: 9851.77 / Max: 9977.4 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 8 16 24 32 40 SE +/- 0.05, N = 3 SE +/- 0.15, N = 3 SE +/- 0.08, N = 3 SE +/- 0.16, N = 3 SE +/- 0.12, N = 3 SE +/- 0.07, N = 3 SE +/- 0.07, N = 3 SE +/- 0.14, N = 3 SE +/- 0.08, N = 3 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 SE +/- 0.08, N = 3 SE +/- 0.10, N = 3 SE +/- 0.09, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.10, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.08, N = 3 22.50 26.16 32.94 34.04 24.49 22.45 23.54 22.44 21.12 22.62 30.46 22.52 34.95 22.99 22.50 21.89 22.09 21.84 22.56 21.71 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 7 14 21 28 35 Min: 22.42 / Avg: 22.5 / Max: 22.59 Min: 25.92 / Avg: 26.16 / Max: 26.43 Min: 32.82 / Avg: 32.94 / Max: 33.1 Min: 33.76 / Avg: 34.04 / Max: 34.3 Min: 24.37 / Avg: 24.49 / Max: 24.73 Min: 22.36 / Avg: 22.45 / Max: 22.59 Min: 23.46 / Avg: 23.54 / Max: 23.67 Min: 22.27 / Avg: 22.44 / Max: 22.73 Min: 20.98 / Avg: 21.12 / Max: 21.25 Min: 22.57 / Avg: 22.62 / Max: 22.72 Min: 30.32 / Avg: 30.46 / Max: 30.59 Min: 22.4 / Avg: 22.52 / Max: 22.67 Min: 34.83 / Avg: 34.95 / Max: 35.15 Min: 22.8 / Avg: 22.99 / Max: 23.09 Min: 22.46 / Avg: 22.5 / Max: 22.57 Min: 21.8 / Avg: 21.89 / Max: 22.01 Min: 21.93 / Avg: 22.09 / Max: 22.28 Min: 21.78 / Avg: 21.84 / Max: 21.91 Min: 22.52 / Avg: 22.56 / Max: 22.59 Min: 21.62 / Avg: 21.71 / Max: 21.87 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 3 6 9 12 15 SE +/- 0.0000619, N = 3 SE +/- 0.0051250, N = 3 SE +/- 0.1052585, N = 15 SE +/- 0.0080390, N = 3 SE +/- 0.0043546, N = 3 SE +/- 0.0005818, N = 3 SE +/- 0.0031335, N = 3 SE +/- 0.0009813, N = 3 SE +/- 0.0017475, N = 3 SE +/- 0.0003677, N = 3 SE +/- 0.0121655, N = 3 SE +/- 0.0010920, N = 3 SE +/- 0.1578188, N = 3 SE +/- 0.0059694, N = 3 SE +/- 0.0002745, N = 3 SE +/- 0.0011629, N = 3 SE +/- 0.0024663, N = 3 SE +/- 0.0033424, N = 3 SE +/- 0.0018526, N = 3 SE +/- 0.0065112, N = 3 7.6941152 7.7575322 10.9138750 8.2625257 7.7021942 7.7384578 7.1588623 7.5875978 9.2130346 7.5321392 9.5929839 7.3683532 11.8314800 7.9071273 7.8200074 7.4229073 7.4761666 7.5164994 7.6937696 8.6221570 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 3 6 9 12 15 Min: 7.69 / Avg: 7.69 / Max: 7.69 Min: 7.75 / Avg: 7.76 / Max: 7.77 Min: 10.14 / Avg: 10.91 / Max: 11.48 Min: 8.25 / Avg: 8.26 / Max: 8.27 Min: 7.7 / Avg: 7.7 / Max: 7.71 Min: 7.74 / Avg: 7.74 / Max: 7.74 Min: 7.15 / Avg: 7.16 / Max: 7.16 Min: 7.59 / Avg: 7.59 / Max: 7.59 Min: 9.21 / Avg: 9.21 / Max: 9.22 Min: 7.53 / Avg: 7.53 / Max: 7.53 Min: 9.57 / Avg: 9.59 / Max: 9.62 Min: 7.37 / Avg: 7.37 / Max: 7.37 Min: 11.56 / Avg: 11.83 / Max: 12.1 Min: 7.9 / Avg: 7.91 / Max: 7.92 Min: 7.82 / Avg: 7.82 / Max: 7.82 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: 7.69 / Avg: 7.69 / Max: 7.7 Min: 8.62 / Avg: 8.62 / Max: 8.64 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 6K 12K 18K 24K 30K SE +/- 86.74, N = 3 SE +/- 97.96, N = 3 SE +/- 75.97, N = 3 SE +/- 100.89, N = 3 SE +/- 44.63, N = 3 SE +/- 181.28, N = 3 SE +/- 61.43, N = 3 SE +/- 43.10, N = 3 SE +/- 72.55, N = 3 SE +/- 72.06, N = 3 SE +/- 107.90, N = 3 SE +/- 56.11, N = 3 SE +/- 47.49, N = 3 SE +/- 20.70, N = 3 SE +/- 15.63, N = 3 SE +/- 73.41, N = 3 SE +/- 87.51, N = 3 SE +/- 145.91, N = 3 SE +/- 109.61, N = 3 SE +/- 64.18, N = 3 24286 23297 16534 19373 24590 24881 22124 22128 24704 22607 17355 25563 19021 22463 22254 24336 27291 25160 24192 22796 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 5K 10K 15K 20K 25K Min: 24138.58 / Avg: 24285.77 / Max: 24438.88 Min: 23109.48 / Avg: 23296.72 / Max: 23440.29 Min: 16433.25 / Avg: 16534.17 / Max: 16683 Min: 19243.58 / Avg: 19373.27 / Max: 19571.98 Min: 24500.86 / Avg: 24589.57 / Max: 24642.44 Min: 24567.9 / Avg: 24881.03 / Max: 25195.86 Min: 22014.04 / Avg: 22124.27 / Max: 22226.37 Min: 22045.04 / Avg: 22127.67 / Max: 22190.26 Min: 24560.91 / Avg: 24703.66 / Max: 24797.53 Min: 22463.24 / Avg: 22606.6 / Max: 22691.08 Min: 17168.07 / Avg: 17355.07 / Max: 17541.86 Min: 25457.36 / Avg: 25562.69 / Max: 25648.86 Min: 18944.83 / Avg: 19021.17 / Max: 19108.28 Min: 22428.64 / Avg: 22463.42 / Max: 22500.27 Min: 22230.64 / Avg: 22254.24 / Max: 22283.78 Min: 24218.24 / Avg: 24335.92 / Max: 24470.79 Min: 27122.42 / Avg: 27290.81 / Max: 27416.33 Min: 24878.09 / Avg: 25160.16 / Max: 25366 Min: 24059.94 / Avg: 24191.65 / Max: 24409.26 Min: 22691.26 / Avg: 22795.6 / Max: 22912.51 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: 1000 - Clients: 50 - Mode: Read Write - Average Latency EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 0.6806 1.3612 2.0418 2.7224 3.403 SE +/- 0.007, N = 3 SE +/- 0.009, N = 3 SE +/- 0.014, N = 3 SE +/- 0.014, N = 3 SE +/- 0.004, N = 3 SE +/- 0.015, N = 3 SE +/- 0.006, N = 3 SE +/- 0.004, N = 3 SE +/- 0.006, N = 3 SE +/- 0.007, N = 3 SE +/- 0.018, N = 3 SE +/- 0.004, N = 3 SE +/- 0.007, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.006, N = 3 SE +/- 0.006, N = 3 SE +/- 0.012, N = 3 SE +/- 0.009, N = 3 SE +/- 0.006, N = 3 2.060 2.147 3.025 2.582 2.034 2.010 2.261 2.260 2.025 2.213 2.882 1.957 2.629 2.227 2.248 2.055 1.833 1.988 2.068 2.194 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 2 4 6 8 10 Min: 2.05 / Avg: 2.06 / Max: 2.07 Min: 2.13 / Avg: 2.15 / Max: 2.16 Min: 3 / Avg: 3.03 / Max: 3.04 Min: 2.56 / Avg: 2.58 / Max: 2.6 Min: 2.03 / Avg: 2.03 / Max: 2.04 Min: 1.99 / Avg: 2.01 / Max: 2.04 Min: 2.25 / Avg: 2.26 / Max: 2.27 Min: 2.25 / Avg: 2.26 / Max: 2.27 Min: 2.02 / Avg: 2.02 / Max: 2.04 Min: 2.2 / Avg: 2.21 / Max: 2.23 Min: 2.85 / Avg: 2.88 / Max: 2.91 Min: 1.95 / Avg: 1.96 / Max: 1.97 Min: 2.62 / Avg: 2.63 / Max: 2.64 Min: 2.22 / Avg: 2.23 / Max: 2.23 Min: 2.25 / Avg: 2.25 / Max: 2.25 Min: 2.04 / Avg: 2.06 / Max: 2.07 Min: 1.82 / Avg: 1.83 / Max: 1.84 Min: 1.97 / Avg: 1.99 / Max: 2.01 Min: 2.05 / Avg: 2.07 / Max: 2.08 Min: 2.18 / Avg: 2.19 / Max: 2.2 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 1400 2800 4200 5600 7000 SE +/- 10.70, N = 3 SE +/- 16.34, N = 3 SE +/- 8.67, N = 3 SE +/- 10.37, N = 3 SE +/- 12.17, N = 3 SE +/- 11.74, N = 3 SE +/- 9.00, N = 3 SE +/- 9.90, N = 3 SE +/- 13.44, N = 3 SE +/- 17.05, N = 3 SE +/- 7.11, N = 3 SE +/- 10.23, N = 3 SE +/- 13.17, N = 3 SE +/- 9.79, N = 3 SE +/- 10.46, N = 3 SE +/- 10.70, N = 3 SE +/- 16.34, N = 3 SE +/- 23.78, N = 3 SE +/- 10.82, N = 3 SE +/- 22.84, N = 3 5660 5319 3876 4237 6048 5941 5199 5445 6343 5435 4615 5535 4438 5425 5608 5671 5319 5200 5703 6289 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 1100 2200 3300 4400 5500 Min: 5649.72 / Avg: 5660.42 / Max: 5681.82 Min: 5291.01 / Avg: 5319.25 / Max: 5347.59 Min: 3861 / Avg: 3876.01 / Max: 3891.05 Min: 4219.41 / Avg: 4237.34 / Max: 4255.32 Min: 6024.1 / Avg: 6048.44 / Max: 6060.61 Min: 5917.16 / Avg: 5940.64 / Max: 5952.38 Min: 5181.35 / Avg: 5199.34 / Max: 5208.33 Min: 5434.78 / Avg: 5444.68 / Max: 5464.48 Min: 6329.11 / Avg: 6342.55 / Max: 6369.43 Min: 5405.41 / Avg: 5434.89 / Max: 5464.48 Min: 4608.29 / Avg: 4615.41 / Max: 4629.63 Min: 5524.86 / Avg: 5535.09 / Max: 5555.56 Min: 4424.78 / Avg: 4437.95 / Max: 4464.29 Min: 5405.41 / Avg: 5424.99 / Max: 5434.78 Min: 5586.59 / Avg: 5607.52 / Max: 5617.98 Min: 5649.72 / Avg: 5671.12 / Max: 5681.82 Min: 5291.01 / Avg: 5319.25 / Max: 5347.59 Min: 5154.64 / Avg: 5199.52 / Max: 5235.6 Min: 5681.82 / Avg: 5703.46 / Max: 5714.29 Min: 6250 / Avg: 6289.47 / Max: 6329.11 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 14 28 42 56 70 SE +/- 0.08, N = 3 SE +/- 0.17, N = 3 SE +/- 0.09, N = 3 SE +/- 0.37, N = 3 SE +/- 0.19, N = 3 SE +/- 0.20, N = 3 SE +/- 0.07, N = 3 SE +/- 0.21, N = 3 SE +/- 0.15, N = 3 SE +/- 0.10, N = 3 SE +/- 0.27, N = 3 SE +/- 0.17, N = 3 SE +/- 0.04, N = 3 SE +/- 0.14, N = 3 SE +/- 0.06, N = 3 SE +/- 0.20, N = 3 SE +/- 0.19, N = 3 SE +/- 0.20, N = 3 SE +/- 0.16, N = 3 SE +/- 0.22, N = 3 49.28 46.60 40.39 38.71 49.38 52.50 46.49 48.40 61.96 48.90 47.12 48.81 38.59 50.25 51.07 48.97 47.36 47.76 49.53 61.69 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 12 24 36 48 60 Min: 49.16 / Avg: 49.28 / Max: 49.44 Min: 46.28 / Avg: 46.6 / Max: 46.88 Min: 40.24 / Avg: 40.39 / Max: 40.54 Min: 37.98 / Avg: 38.71 / Max: 39.2 Min: 49.02 / Avg: 49.38 / Max: 49.67 Min: 52.25 / Avg: 52.5 / Max: 52.9 Min: 46.36 / Avg: 46.49 / Max: 46.6 Min: 48.01 / Avg: 48.4 / Max: 48.72 Min: 61.73 / Avg: 61.96 / Max: 62.25 Min: 48.74 / Avg: 48.9 / Max: 49.08 Min: 46.64 / Avg: 47.12 / Max: 47.59 Min: 48.52 / Avg: 48.81 / Max: 49.11 Min: 38.52 / Avg: 38.59 / Max: 38.66 Min: 50.1 / Avg: 50.25 / Max: 50.53 Min: 51 / Avg: 51.07 / Max: 51.18 Min: 48.6 / Avg: 48.97 / Max: 49.3 Min: 47.1 / Avg: 47.36 / Max: 47.72 Min: 47.4 / Avg: 47.76 / Max: 48.09 Min: 49.3 / Avg: 49.53 / Max: 49.85 Min: 61.33 / Avg: 61.69 / Max: 62.09 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P 13 26 39 52 65 SE +/- 0.06, N = 3 SE +/- 0.25, N = 3 SE +/- 0.31, N = 3 SE +/- 0.09, N = 3 SE +/- 0.10, N = 3 SE +/- 0.16, N = 3 SE +/- 0.15, N = 3 SE +/- 0.06, N = 3 SE +/- 0.13, N = 3 SE +/- 0.09, N = 3 SE +/- 0.68, N = 3 SE +/- 0.12, N = 3 SE +/- 0.22, N = 3 SE +/- 0.11, N = 3 SE +/- 0.14, N = 3 SE +/- 0.06, N = 3 SE +/- 0.25, N = 3 SE +/- 0.17, N = 3 SE +/- 0.15, N = 3 48.43 46.17 39.72 37.92 47.76 51.25 46.48 47.41 60.10 48.18 46.25 48.42 37.45 48.64 50.06 47.91 47.04 47.29 48.62 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P 12 24 36 48 60 Min: 48.32 / Avg: 48.43 / Max: 48.49 Min: 45.74 / Avg: 46.17 / Max: 46.61 Min: 39.28 / Avg: 39.72 / Max: 40.31 Min: 37.75 / Avg: 37.92 / Max: 38.03 Min: 47.56 / Avg: 47.76 / Max: 47.91 Min: 50.96 / Avg: 51.25 / Max: 51.53 Min: 46.29 / Avg: 46.48 / Max: 46.78 Min: 47.31 / Avg: 47.41 / Max: 47.53 Min: 59.89 / Avg: 60.1 / Max: 60.35 Min: 48.01 / Avg: 48.18 / Max: 48.3 Min: 45.22 / Avg: 46.25 / Max: 47.52 Min: 48.22 / Avg: 48.42 / Max: 48.64 Min: 37.05 / Avg: 37.45 / Max: 37.82 Min: 48.42 / Avg: 48.64 / Max: 48.79 Min: 49.8 / Avg: 50.06 / Max: 50.28 Min: 47.82 / Avg: 47.91 / Max: 48.03 Min: 46.56 / Avg: 47.04 / Max: 47.4 Min: 46.94 / Avg: 47.29 / Max: 47.49 Min: 48.35 / Avg: 48.62 / Max: 48.86 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 12 24 36 48 60 SE +/- 0.52, N = 3 SE +/- 0.56, N = 3 SE +/- 0.53, N = 3 SE +/- 0.41, N = 3 SE +/- 0.29, N = 3 SE +/- 0.69, N = 5 SE +/- 0.32, N = 3 SE +/- 0.32, N = 3 SE +/- 0.36, N = 3 SE +/- 0.72, N = 13 SE +/- 0.07, N = 3 SE +/- 0.45, N = 3 SE +/- 0.10, N = 3 SE +/- 0.17, N = 3 SE +/- 0.46, N = 3 SE +/- 0.29, N = 3 SE +/- 0.59, N = 3 SE +/- 0.25, N = 3 SE +/- 0.16, N = 3 SE +/- 0.63, N = 4 52.80 52.38 47.35 53.94 51.62 51.37 49.89 44.73 34.19 53.59 43.80 43.44 54.74 41.93 47.22 40.55 39.09 37.63 46.62 43.04
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_qda EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 11 22 33 44 55 Min: 51.87 / Avg: 52.8 / Max: 53.67 Min: 51.61 / Avg: 52.38 / Max: 53.46 Min: 46.51 / Avg: 47.35 / Max: 48.33 Min: 53.23 / Avg: 53.94 / Max: 54.63 Min: 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: 44.1 / Avg: 44.73 / Max: 45.17 Min: 33.77 / Avg: 34.19 / Max: 34.92 Min: 46.74 / Avg: 53.59 / Max: 57.7 Min: 43.68 / Avg: 43.8 / Max: 43.92 Min: 42.62 / Avg: 43.44 / Max: 44.16 Min: 54.55 / Avg: 54.74 / Max: 54.9 Min: 41.6 / Avg: 41.93 / Max: 42.12 Min: 46.51 / Avg: 47.22 / Max: 48.09 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: 46.43 / Avg: 46.62 / Max: 46.93 Min: 41.75 / Avg: 43.04 / Max: 44.74
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 1600 3200 4800 6400 8000 SE +/- 31.28, N = 4 SE +/- 49.93, N = 4 SE +/- 24.61, N = 4 SE +/- 67.27, N = 4 SE +/- 46.47, N = 4 SE +/- 46.36, N = 4 SE +/- 61.44, N = 4 SE +/- 36.18, N = 4 SE +/- 34.74, N = 4 SE +/- 20.46, N = 4 SE +/- 27.00, N = 4 SE +/- 54.16, N = 4 SE +/- 23.71, N = 4 SE +/- 14.21, N = 4 SE +/- 42.04, N = 4 SE +/- 33.92, N = 4 SE +/- 16.56, N = 4 SE +/- 37.54, N = 4 SE +/- 24.99, N = 4 SE +/- 13.19, N = 4 7075 5998 5924 5292 6581 7069 7227 7470 5461 7035 4686 7217 5516 7242 7211 7391 7407 7288 7038 5216
Result Confidence
OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 9.12-MR1 Java Test: Tradebeans EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 1300 2600 3900 5200 6500 Min: 6986 / Avg: 7074.5 / Max: 7123 Min: 5871 / Avg: 5998.25 / Max: 6100 Min: 5879 / Avg: 5923.75 / Max: 5990 Min: 5161 / Avg: 5291.5 / Max: 5472 Min: 6450 / Avg: 6581.25 / Max: 6666 Min: 6961 / Avg: 7069.25 / Max: 7164 Min: 7055 / Avg: 7226.5 / Max: 7343 Min: 7396 / Avg: 7470.25 / Max: 7545 Min: 5376 / Avg: 5461.25 / Max: 5526 Min: 6980 / Avg: 7034.5 / Max: 7075 Min: 4611 / Avg: 4685.5 / Max: 4733 Min: 7119 / Avg: 7217.25 / Max: 7313 Min: 5452 / Avg: 5516.25 / Max: 5566 Min: 7204 / Avg: 7241.75 / Max: 7269 Min: 7118 / Avg: 7211 / Max: 7313 Min: 7328 / Avg: 7390.5 / Max: 7469 Min: 7374 / Avg: 7406.5 / Max: 7446 Min: 7188 / Avg: 7287.5 / Max: 7348 Min: 6980 / Avg: 7037.75 / Max: 7095 Min: 5179 / Avg: 5215.5 / Max: 5240
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 8 16 24 32 40 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.20, N = 3 SE +/- 0.16, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.20, N = 3 SE +/- 0.03, N = 3 SE +/- 0.30, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 21.71 28.87 31.37 32.82 25.14 21.33 24.35 22.32 21.38 22.12 27.72 21.23 32.31 24.59 22.41 21.28 20.77 20.83 21.74 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 7 14 21 28 35 Min: 21.65 / Avg: 21.71 / Max: 21.74 Min: 28.83 / Avg: 28.87 / Max: 28.91 Min: 30.97 / Avg: 31.37 / Max: 31.63 Min: 32.56 / Avg: 32.82 / Max: 33.12 Min: 25.11 / Avg: 25.14 / Max: 25.18 Min: 21.26 / Avg: 21.33 / Max: 21.41 Min: 24.3 / Avg: 24.35 / Max: 24.4 Min: 22.3 / Avg: 22.32 / Max: 22.34 Min: 21.28 / Avg: 21.38 / Max: 21.49 Min: 22.1 / Avg: 22.12 / Max: 22.15 Min: 27.48 / Avg: 27.72 / Max: 28.1 Min: 21.2 / Avg: 21.23 / Max: 21.29 Min: 31.9 / Avg: 32.31 / Max: 32.89 Min: 24.47 / Avg: 24.59 / Max: 24.66 Min: 22.37 / Avg: 22.41 / Max: 22.44 Min: 21.27 / Avg: 21.28 / Max: 21.3 Min: 20.7 / Avg: 20.77 / Max: 20.81 Min: 20.75 / Avg: 20.83 / Max: 20.92 Min: 21.72 / Avg: 21.74 / Max: 21.76 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 0.0003 0.0006 0.0009 0.0012 0.0015 SE +/- 0.00001145, N = 3 SE +/- 0.00002074, N = 15 SE +/- 0.00001635, N = 3 SE +/- 0.00000634, N = 3 SE +/- 0.00001218, N = 3 SE +/- 0.00001457, N = 4 SE +/- 0.00001515, N = 4 SE +/- 0.00001716, N = 3 SE +/- 0.00000247, N = 3 SE +/- 0.00000997, N = 3 SE +/- 0.00000094, N = 3 SE +/- 0.00000492, N = 3 SE +/- 0.00000638, N = 3 SE +/- 0.00000590, N = 3 SE +/- 0.00000929, N = 3 SE +/- 0.00000704, N = 3 SE +/- 0.00001189, N = 15 SE +/- 0.00000843, N = 3 SE +/- 0.00000873, N = 3 SE +/- 0.00001130, N = 3 0.00102829 0.00124568 0.00112597 0.00131517 0.00102628 0.00100704 0.00114026 0.00105341 0.00083164 0.00099397 0.00089156 0.00102449 0.00103515 0.00100912 0.00099951 0.00101967 0.00106825 0.00100578 0.00101088 0.00088316
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Perl Benchmarks Test: Interpreter EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 300 600 900 1200 1500 1320 1184 910 949 1251 1355 1279 1249 1354 1303 1044 1216 974 1269 1338 1226 1062 1108 1319 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 300 600 900 1200 1500 SE +/- 5.20, N = 3 SE +/- 1.20, N = 3 SE +/- 0.67, N = 3 SE +/- 1.53, N = 3 SE +/- 5.51, N = 3 SE +/- 0.88, N = 3 SE +/- 4.37, N = 3 SE +/- 1.73, N = 3 SE +/- 7.84, N = 3 SE +/- 1.86, N = 3 SE +/- 3.06, N = 3 SE +/- 3.51, N = 3 SE +/- 6.08, N = 3 SE +/- 2.89, N = 3 SE +/- 6.36, N = 3 1203 908 853 800 1045 1204 1002 1111 1112 1165 897 1139 831 1140 1150 1177 1138 1211 1264 1142 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 200 400 600 800 1000 Min: 1194 / Avg: 1203 / Max: 1212 Min: 906 / Avg: 908.33 / Max: 910 Min: 1044 / Avg: 1044.67 / Max: 1046 Min: 1202 / Avg: 1204 / Max: 1207 Min: 1101 / Avg: 1111 / Max: 1120 Min: 1110 / Avg: 1111.67 / Max: 1113 Min: 1156 / Avg: 1164.67 / Max: 1170 Min: 894 / Avg: 897 / Max: 900 Min: 1131 / Avg: 1139.33 / Max: 1155 Min: 1136 / Avg: 1139.67 / Max: 1142 Min: 1171 / Avg: 1177 / Max: 1181 Min: 1131 / Avg: 1138 / Max: 1142 Min: 1200 / Avg: 1211 / Max: 1221 Min: 1259 / Avg: 1264 / Max: 1269 Min: 1129 / Avg: 1141.67 / Max: 1149 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 10 20 30 40 50 SE +/- 0.08, N = 12 SE +/- 0.09, N = 12 SE +/- 0.34, N = 3 SE +/- 0.29, N = 3 SE +/- 0.35, N = 3 SE +/- 0.09, N = 12 SE +/- 0.52, N = 15 SE +/- 0.23, N = 15 SE +/- 0.10, N = 15 SE +/- 0.13, N = 15 SE +/- 0.20, N = 3 SE +/- 0.20, N = 15 SE +/- 0.21, N = 12 SE +/- 0.20, N = 3 SE +/- 0.34, N = 15 SE +/- 0.52, N = 3 SE +/- 0.27, N = 12 SE +/- 0.18, N = 15 SE +/- 0.02, N = 3 SE +/- 0.50, N = 15 30.49 43.62 41.01 45.16 40.11 28.86 37.37 29.99 35.13 30.04 37.04 32.38 45.29 40.76 35.49 29.88 35.87 30.09 30.26 33.21 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 9 18 27 36 45 Min: 30.13 / Avg: 30.49 / Max: 30.89 Min: 42.99 / Avg: 43.62 / Max: 44.1 Min: 40.35 / Avg: 41.01 / Max: 41.47 Min: 44.79 / Avg: 45.16 / Max: 45.73 Min: 39.57 / Avg: 40.11 / Max: 40.76 Min: 28.2 / Avg: 28.86 / Max: 29.24 Min: 33.73 / Avg: 37.37 / Max: 40.26 Min: 28.55 / Avg: 29.99 / Max: 31.88 Min: 34.59 / Avg: 35.13 / Max: 35.77 Min: 29.11 / Avg: 30.04 / Max: 30.8 Min: 36.82 / Avg: 37.04 / Max: 37.43 Min: 31.46 / Avg: 32.38 / Max: 33.54 Min: 44.17 / Avg: 45.29 / Max: 46.55 Min: 40.4 / Avg: 40.76 / Max: 41.09 Min: 33.3 / Avg: 35.49 / Max: 37.55 Min: 29.32 / Avg: 29.88 / Max: 30.92 Min: 34.52 / Avg: 35.87 / Max: 37.57 Min: 29.38 / Avg: 30.09 / Max: 31.43 Min: 30.23 / Avg: 30.26 / Max: 30.3 Min: 30.33 / Avg: 33.21 / Max: 36.17 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 4 8 12 16 20 SE +/- 0.07, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.00, N = 3 14.88 14.76 17.38 14.95 15.29 14.87 16.15 16.02 12.42 15.04 13.37 14.79 15.49 16.80 15.89 14.81 14.85 15.28 14.89 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 4 8 12 16 20 Min: 14.81 / Avg: 14.88 / Max: 15.01 Min: 14.73 / Avg: 14.75 / Max: 14.78 Min: 17.33 / Avg: 17.38 / Max: 17.42 Min: 14.83 / Avg: 14.95 / Max: 15.07 Min: 15.28 / Avg: 15.29 / Max: 15.3 Min: 14.83 / Avg: 14.87 / Max: 14.9 Min: 16.1 / Avg: 16.15 / Max: 16.17 Min: 15.91 / Avg: 16.02 / Max: 16.14 Min: 12.37 / Avg: 12.41 / Max: 12.44 Min: 14.95 / Avg: 15.04 / Max: 15.1 Min: 13.31 / Avg: 13.37 / Max: 13.42 Min: 14.77 / Avg: 14.79 / Max: 14.81 Min: 15.38 / Avg: 15.49 / Max: 15.55 Min: 16.74 / Avg: 16.8 / Max: 16.86 Min: 15.84 / Avg: 15.89 / Max: 15.98 Min: 14.8 / Avg: 14.81 / Max: 14.83 Min: 14.76 / Avg: 14.85 / Max: 14.97 Min: 15.2 / Avg: 15.28 / Max: 15.33 Min: 14.81 / Avg: 14.89 / Max: 15 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 1000 2000 3000 4000 5000 SE +/- 15.04, N = 3 SE +/- 3.23, N = 3 SE +/- 4.01, N = 3 SE +/- 15.99, N = 3 SE +/- 1.63, N = 3 SE +/- 4.85, N = 3 SE +/- 4.65, N = 3 SE +/- 13.12, N = 3 SE +/- 7.15, N = 3 SE +/- 10.25, N = 3 SE +/- 9.36, N = 3 SE +/- 2.04, N = 3 SE +/- 11.57, N = 3 SE +/- 6.14, N = 3 SE +/- 8.90, N = 3 SE +/- 2.06, N = 3 SE +/- 14.10, N = 3 SE +/- 9.37, N = 3 SE +/- 12.34, N = 3 SE +/- 1.31, N = 3 3362 3390 2878 3346 3272 3364 3098 3123 4029 3327 3741 3382 3230 2977 3147 3377 3368 3273 3358 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 800 1600 2400 3200 4000 Min: 3332 / Avg: 3362.06 / Max: 3378.15 Min: 3383.71 / Avg: 3389.79 / Max: 3394.75 Min: 2871.61 / Avg: 2877.76 / Max: 2885.29 Min: 3318.02 / Avg: 3346.08 / Max: 3373.39 Min: 3268.78 / Avg: 3271.87 / Max: 3274.31 Min: 3356.73 / Avg: 3364.45 / Max: 3373.4 Min: 3093.05 / Avg: 3098.13 / Max: 3107.42 Min: 3098.75 / Avg: 3122.83 / Max: 3143.89 Min: 4020.68 / Avg: 4028.65 / Max: 4042.93 Min: 3313.45 / Avg: 3326.77 / Max: 3346.92 Min: 3725.9 / Avg: 3740.97 / Max: 3758.14 Min: 3378.64 / Avg: 3382.28 / Max: 3385.69 Min: 3216.88 / Avg: 3229.71 / Max: 3252.81 Min: 2967.51 / Avg: 2977.32 / Max: 2988.61 Min: 3129.71 / Avg: 3147.27 / Max: 3158.56 Min: 3373.11 / Avg: 3376.68 / Max: 3380.25 Min: 3341.38 / Avg: 3367.51 / Max: 3389.77 Min: 3262.47 / Avg: 3273.27 / Max: 3291.93 Min: 3335.68 / Avg: 3358.5 / Max: 3378.07 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 400 800 1200 1600 2000 SE +/- 4.26, N = 3 SE +/- 17.96, N = 8 SE +/- 9.23, N = 3 SE +/- 19.55, N = 6 SE +/- 2.60, N = 3 SE +/- 21.70, N = 4 SE +/- 3.89, N = 3 SE +/- 0.83, N = 3 SE +/- 8.17, N = 3 SE +/- 5.28, N = 3 SE +/- 13.68, N = 3 SE +/- 2.72, N = 3 SE +/- 8.59, N = 3 SE +/- 5.14, N = 3 SE +/- 2.61, N = 3 SE +/- 2.75, N = 3 SE +/- 5.43, N = 3 SE +/- 10.46, N = 3 SE +/- 2.04, N = 3 SE +/- 25.56, N = 4 1571.84 1725.53 1584.29 1678.20 1659.95 1604.88 1622.60 1590.82 1850.53 1259.04 1927.48 1573.20 1603.94 1598.23 1636.48 1606.89 1575.39 1251.89 1542.43 1849.32 1. (CC) gcc options: -O2 -lm -pthread -lmpi
Result Confidence
OpenBenchmarking.org MB/s, More Is Better IOR 3.2.1 Write Test EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 300 600 900 1200 1500 Min: 1566.18 / Avg: 1571.84 / Max: 1580.18 Min: 1649.54 / Avg: 1725.53 / Max: 1795.82 Min: 1572.77 / Avg: 1584.29 / Max: 1602.55 Min: 1584.67 / Avg: 1678.2 / Max: 1716.09 Min: 1657.12 / Avg: 1659.95 / Max: 1665.15 Min: 1579.94 / Avg: 1604.88 / Max: 1669.75 Min: 1617.44 / Avg: 1622.6 / Max: 1630.22 Min: 1589.42 / Avg: 1590.82 / Max: 1592.28 Min: 1838.59 / Avg: 1850.53 / Max: 1866.16 Min: 1248.55 / Avg: 1259.04 / Max: 1265.36 Min: 1909.11 / Avg: 1927.48 / Max: 1954.23 Min: 1568.76 / Avg: 1573.2 / Max: 1578.14 Min: 1590.02 / Avg: 1603.94 / Max: 1619.63 Min: 1589.01 / Avg: 1598.23 / Max: 1606.76 Min: 1633.32 / Avg: 1636.48 / Max: 1641.66 Min: 1601.58 / Avg: 1606.89 / Max: 1610.78 Min: 1564.62 / Avg: 1575.39 / Max: 1582.05 Min: 1231.03 / Avg: 1251.89 / Max: 1263.75 Min: 1538.62 / Avg: 1542.43 / Max: 1545.61 Min: 1821.66 / Avg: 1849.32 / Max: 1925.92 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 0.2633 0.5266 0.7899 1.0532 1.3165 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.82 0.88 0.86 0.85 0.79 0.76 0.98 0.96 0.80 0.91 0.79 0.98 0.90 0.86 0.87 1.02 1.17 1.04 0.82 0.81 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 2 4 6 8 10 Min: 0.82 / Avg: 0.82 / Max: 0.83 Min: 0.87 / Avg: 0.88 / Max: 0.88 Min: 0.86 / Avg: 0.86 / Max: 0.86 Min: 0.85 / Avg: 0.85 / Max: 0.85 Min: 0.79 / Avg: 0.79 / Max: 0.79 Min: 0.76 / Avg: 0.76 / Max: 0.77 Min: 0.98 / Avg: 0.98 / Max: 0.98 Min: 0.95 / Avg: 0.96 / Max: 0.96 Min: 0.8 / Avg: 0.8 / Max: 0.8 Min: 0.91 / Avg: 0.91 / Max: 0.91 Min: 0.79 / Avg: 0.79 / Max: 0.79 Min: 0.97 / Avg: 0.98 / Max: 0.98 Min: 0.89 / Avg: 0.9 / Max: 0.91 Min: 0.86 / Avg: 0.86 / Max: 0.87 Min: 0.87 / Avg: 0.87 / Max: 0.87 Min: 1.02 / Avg: 1.02 / Max: 1.02 Min: 1.17 / Avg: 1.17 / Max: 1.17 Min: 1.03 / Avg: 1.04 / Max: 1.05 Min: 0.81 / Avg: 0.82 / Max: 0.82 Min: 0.81 / Avg: 0.81 / Max: 0.82 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 1200 2400 3600 4800 6000 SE +/- 29.29, N = 4 SE +/- 41.98, N = 4 SE +/- 23.84, N = 4 SE +/- 57.45, N = 6 SE +/- 18.17, N = 4 SE +/- 34.26, N = 4 SE +/- 38.40, N = 4 SE +/- 59.76, N = 4 SE +/- 24.42, N = 4 SE +/- 44.81, N = 4 SE +/- 18.54, N = 4 SE +/- 57.02, N = 4 SE +/- 33.61, N = 4 SE +/- 25.86, N = 4 SE +/- 38.80, N = 4 SE +/- 32.48, N = 4 SE +/- 42.50, N = 4 SE +/- 25.70, N = 4 SE +/- 63.41, N = 4 SE +/- 39.71, N = 4 4365 4334 4965 4976 4190 4269 4466 4609 3796 4460 4485 4689 5414 4277 4203 4747 4921 4968 4385 3535
Result Confidence
OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 9.12-MR1 Java Test: Tradesoap EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 900 1800 2700 3600 4500 Min: 4311 / Avg: 4364.75 / Max: 4444 Min: 4270 / Avg: 4334.25 / Max: 4456 Min: 4897 / Avg: 4964.5 / Max: 5008 Min: 4811 / Avg: 4975.5 / Max: 5170 Min: 4150 / Avg: 4190.25 / Max: 4221 Min: 4173 / Avg: 4268.5 / Max: 4334 Min: 4397 / Avg: 4466 / Max: 4553 Min: 4497 / Avg: 4609 / Max: 4752 Min: 3752 / Avg: 3795.5 / Max: 3862 Min: 4327 / Avg: 4460.25 / Max: 4515 Min: 4445 / Avg: 4484.75 / Max: 4522 Min: 4535 / Avg: 4689 / Max: 4810 Min: 5331 / Avg: 5413.5 / Max: 5479 Min: 4206 / Avg: 4276.75 / Max: 4326 Min: 4087 / Avg: 4202.5 / Max: 4251 Min: 4657 / Avg: 4746.75 / Max: 4812 Min: 4832 / Avg: 4920.5 / Max: 5010 Min: 4901 / Avg: 4967.75 / Max: 5022 Min: 4213 / Avg: 4385.25 / Max: 4514 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 30 60 90 120 150 SE +/- 0.05, N = 3 SE +/- 0.10, N = 3 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.12, N = 3 SE +/- 0.06, N = 3 SE +/- 0.07, N = 3 SE +/- 0.11, N = 3 SE +/- 0.06, N = 3 SE +/- 0.06, N = 3 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.12, N = 3 SE +/- 0.18, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 114.73 127.68 135.68 140.57 121.55 112.62 120.96 116.10 95.51 116.60 111.26 115.39 143.40 119.58 114.29 115.32 115.83 115.71 114.78 93.92
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed GDB GNU Debugger Compilation 9.1 Time To Compile EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 30 60 90 120 150 Min: 114.64 / Avg: 114.73 / Max: 114.79 Min: 127.57 / Avg: 127.68 / Max: 127.89 Min: 135.6 / Avg: 135.68 / Max: 135.77 Min: 140.43 / Avg: 140.57 / Max: 140.71 Min: 121.53 / Avg: 121.54 / Max: 121.58 Min: 112.54 / Avg: 112.62 / Max: 112.69 Min: 120.77 / Avg: 120.96 / Max: 121.17 Min: 115.98 / Avg: 116.1 / Max: 116.19 Min: 95.39 / Avg: 95.51 / Max: 95.63 Min: 116.42 / Avg: 116.6 / Max: 116.8 Min: 111.16 / Avg: 111.26 / Max: 111.36 Min: 115.28 / Avg: 115.39 / Max: 115.49 Min: 143.24 / Avg: 143.4 / Max: 143.52 Min: 119.53 / Avg: 119.58 / Max: 119.63 Min: 114.18 / Avg: 114.29 / Max: 114.34 Min: 115.1 / Avg: 115.32 / Max: 115.53 Min: 115.47 / Avg: 115.83 / Max: 116.05 Min: 115.66 / Avg: 115.71 / Max: 115.79 Min: 114.74 / Avg: 114.78 / Max: 114.82 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 0.2633 0.5266 0.7899 1.0532 1.3165 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, 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 0.82 0.88 0.86 0.85 0.79 0.77 0.98 0.95 0.80 0.91 0.79 0.97 0.90 0.88 0.88 1.02 1.17 1.04 0.83 0.81 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 2 4 6 8 10 Min: 0.82 / Avg: 0.82 / Max: 0.82 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: 0.79 / Avg: 0.79 / Max: 0.8 Min: 0.76 / Avg: 0.77 / Max: 0.77 Min: 0.98 / Avg: 0.98 / Max: 0.98 Min: 0.95 / Avg: 0.95 / Max: 0.95 Min: 0.8 / Avg: 0.8 / Max: 0.8 Min: 0.91 / Avg: 0.91 / Max: 0.92 Min: 0.79 / Avg: 0.79 / Max: 0.79 Min: 0.97 / Avg: 0.97 / Max: 0.98 Min: 0.89 / Avg: 0.9 / Max: 0.9 Min: 0.88 / Avg: 0.88 / Max: 0.88 Min: 0.87 / Avg: 0.88 / Max: 0.89 Min: 1.01 / Avg: 1.02 / Max: 1.02 Min: 1.16 / Avg: 1.17 / Max: 1.17 Min: 1.04 / Avg: 1.04 / Max: 1.05 Min: 0.82 / Avg: 0.83 / Max: 0.83 Min: 0.81 / Avg: 0.81 / Max: 0.81 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 2 4 6 8 10 SE +/- 0.071, N = 12 SE +/- 0.067, N = 12 SE +/- 0.036, N = 3 SE +/- 0.039, N = 3 SE +/- 0.106, N = 3 SE +/- 0.012, N = 12 SE +/- 0.121, N = 15 SE +/- 0.074, N = 15 SE +/- 0.012, N = 15 SE +/- 0.034, N = 15 SE +/- 0.068, N = 3 SE +/- 0.028, N = 15 SE +/- 0.027, N = 12 SE +/- 0.063, N = 3 SE +/- 0.074, N = 15 SE +/- 0.087, N = 3 SE +/- 0.025, N = 12 SE +/- 0.023, N = 15 SE +/- 0.014, N = 3 SE +/- 0.071, N = 15 5.027 5.899 5.979 5.882 6.353 4.674 6.138 5.313 6.099 4.864 5.581 5.059 6.320 6.986 5.905 5.032 5.630 5.077 4.920 5.847 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 3 6 9 12 15 Min: 4.7 / Avg: 5.03 / Max: 5.59 Min: 5.56 / Avg: 5.9 / Max: 6.3 Min: 5.91 / Avg: 5.98 / Max: 6.03 Min: 5.83 / Avg: 5.88 / Max: 5.96 Min: 6.14 / Avg: 6.35 / Max: 6.46 Min: 4.61 / Avg: 4.67 / Max: 4.76 Min: 5.41 / Avg: 6.14 / Max: 6.86 Min: 4.77 / Avg: 5.31 / Max: 5.9 Min: 6 / Avg: 6.1 / Max: 6.16 Min: 4.63 / Avg: 4.86 / Max: 5.19 Min: 5.51 / Avg: 5.58 / Max: 5.72 Min: 4.82 / Avg: 5.06 / Max: 5.19 Min: 6.18 / Avg: 6.32 / Max: 6.49 Min: 6.86 / Avg: 6.99 / Max: 7.06 Min: 5.45 / Avg: 5.91 / Max: 6.45 Min: 4.88 / Avg: 5.03 / Max: 5.18 Min: 5.48 / Avg: 5.63 / Max: 5.83 Min: 4.83 / Avg: 5.08 / Max: 5.22 Min: 4.9 / Avg: 4.92 / Max: 4.95 Min: 5.51 / Avg: 5.85 / Max: 6.23 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 40K 80K 120K 160K 200K SE +/- 177.34, N = 3 SE +/- 2784.79, N = 3 SE +/- 49.13, N = 3 SE +/- 872.40, N = 3 SE +/- 18.90, N = 3 SE +/- 309.87, N = 3 SE +/- 283.68, N = 3 SE +/- 2602.65, N = 4 SE +/- 158.88, N = 3 SE +/- 65.84, N = 3 SE +/- 259.29, N = 3 SE +/- 5113.88, N = 12 SE +/- 1138.71, N = 3 SE +/- 74.55, N = 3 SE +/- 104.74, N = 3 SE +/- 4669.23, N = 12 SE +/- 207.27, N = 3 SE +/- 118.55, N = 3 SE +/- 119.50, N = 3 SE +/- 1785.82, N = 3 163216 161347 148683 152406 150213 157348 169060 182245 138300 170209 138475 132666 151504 147070 149533 150608 123652 122716 163571 151858 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 30K 60K 90K 120K 150K Min: 163025 / Avg: 163215.67 / Max: 163570 Min: 156030 / Avg: 161346.67 / Max: 165442 Min: 148596 / Avg: 148683.33 / Max: 148766 Min: 150661 / Avg: 152405.67 / Max: 153296 Min: 150185 / Avg: 150213 / Max: 150249 Min: 156779 / Avg: 157348.33 / Max: 157845 Min: 168535 / Avg: 169059.67 / Max: 169509 Min: 175128 / Avg: 182244.75 / Max: 187464 Min: 138096 / Avg: 138300 / Max: 138613 Min: 170097 / Avg: 170209.33 / Max: 170325 Min: 137991 / Avg: 138475.33 / Max: 138878 Min: 119362 / Avg: 132665.67 / Max: 167664 Min: 150249 / Avg: 151503.67 / Max: 153777 Min: 146991 / Avg: 147070 / Max: 147219 Min: 149413 / Avg: 149533.33 / Max: 149742 Min: 121179 / Avg: 150607.67 / Max: 168454 Min: 123343 / Avg: 123652.33 / Max: 124046 Min: 122555 / Avg: 122715.67 / Max: 122947 Min: 163333 / Avg: 163571.33 / Max: 163706 Min: 149741 / Avg: 151858.33 / Max: 155408 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 700 1400 2100 2800 3500 SE +/- 10.16, N = 3 SE +/- 22.43, N = 3 SE +/- 22.64, N = 3 SE +/- 10.14, N = 3 SE +/- 4.52, N = 3 SE +/- 22.21, N = 3 SE +/- 30.62, N = 3 SE +/- 17.47, N = 3 SE +/- 15.04, N = 3 SE +/- 23.27, N = 3 SE +/- 7.30, N = 3 SE +/- 6.79, N = 3 SE +/- 3.48, N = 3 SE +/- 23.10, N = 3 SE +/- 7.36, N = 3 SE +/- 24.83, N = 3 SE +/- 18.57, N = 3 SE +/- 35.00, N = 4 SE +/- 12.17, N = 3 SE +/- 24.07, N = 3 2535 2697 2328 2780 2667 2528 2457 2457 3221 2500 3006 2693 2731 2418 2394 2671 2738 2770 2517 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 600 1200 1800 2400 3000 Min: 2523.35 / Avg: 2534.67 / Max: 2554.94 Min: 2655.86 / Avg: 2697.37 / Max: 2732.85 Min: 2289.82 / Avg: 2328.44 / Max: 2368.24 Min: 2760.32 / Avg: 2780.49 / Max: 2792.45 Min: 2662.62 / Avg: 2667.31 / Max: 2676.34 Min: 2483.62 / Avg: 2527.96 / Max: 2552.45 Min: 2421.18 / Avg: 2457.42 / Max: 2518.29 Min: 2423.61 / Avg: 2456.72 / Max: 2482.93 Min: 3192.63 / Avg: 3220.59 / Max: 3244.19 Min: 2465.63 / Avg: 2500.49 / Max: 2544.62 Min: 2995.56 / Avg: 3005.63 / Max: 3019.81 Min: 2678.96 / Avg: 2692.53 / Max: 2699.86 Min: 2724.61 / Avg: 2730.99 / Max: 2736.57 Min: 2377.38 / Avg: 2418.12 / Max: 2457.35 Min: 2385.23 / Avg: 2394.11 / Max: 2408.72 Min: 2623.14 / Avg: 2671.2 / Max: 2706.08 Min: 2711.95 / Avg: 2737.69 / Max: 2773.75 Min: 2667.34 / Avg: 2769.78 / Max: 2823.7 Min: 2494.25 / Avg: 2516.54 / Max: 2536.14 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 10 20 30 40 50 SE +/- 0.17, N = 3 SE +/- 0.31, N = 3 SE +/- 0.42, N = 3 SE +/- 0.13, N = 3 SE +/- 0.06, N = 3 SE +/- 0.35, N = 3 SE +/- 0.50, N = 3 SE +/- 0.29, N = 3 SE +/- 0.15, N = 3 SE +/- 0.37, N = 3 SE +/- 0.08, N = 3 SE +/- 0.09, N = 3 SE +/- 0.05, N = 3 SE +/- 0.40, N = 3 SE +/- 0.13, N = 3 SE +/- 0.36, N = 3 SE +/- 0.25, N = 3 SE +/- 0.47, N = 4 SE +/- 0.19, N = 3 SE +/- 0.20, N = 3 39.52 37.11 42.98 35.99 37.53 39.62 40.78 40.77 31.08 40.06 33.29 37.20 36.64 41.41 41.83 37.50 36.59 36.18 39.79 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 9 18 27 36 45 Min: 39.19 / Avg: 39.52 / Max: 39.7 Min: 36.63 / Avg: 37.11 / Max: 37.68 Min: 42.25 / Avg: 42.98 / Max: 43.7 Min: 35.83 / Avg: 35.99 / Max: 36.25 Min: 37.4 / Avg: 37.53 / Max: 37.59 Min: 39.23 / Avg: 39.62 / Max: 40.33 Min: 39.78 / Avg: 40.78 / Max: 41.36 Min: 40.36 / Avg: 40.77 / Max: 41.32 Min: 30.85 / Avg: 31.08 / Max: 31.35 Min: 39.36 / Avg: 40.06 / Max: 40.63 Min: 33.13 / Avg: 33.29 / Max: 33.4 Min: 37.09 / Avg: 37.2 / Max: 37.38 Min: 36.56 / Avg: 36.64 / Max: 36.72 Min: 40.73 / Avg: 41.4 / Max: 42.11 Min: 41.57 / Avg: 41.83 / Max: 41.98 Min: 37.01 / Avg: 37.5 / Max: 38.19 Min: 36.1 / Avg: 36.59 / Max: 36.93 Min: 35.48 / Avg: 36.18 / Max: 37.56 Min: 39.49 / Avg: 39.79 / Max: 40.16 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 600 1200 1800 2400 3000 SE +/- 5.31, N = 3 SE +/- 4.19, N = 3 SE +/- 6.33, N = 3 SE +/- 7.86, N = 3 SE +/- 3.98, N = 3 SE +/- 5.96, N = 3 SE +/- 1.63, N = 3 SE +/- 3.11, N = 3 SE +/- 2.21, N = 3 SE +/- 3.67, N = 3 SE +/- 12.04, N = 3 SE +/- 1.98, N = 3 SE +/- 8.15, N = 3 SE +/- 1.77, N = 3 SE +/- 5.99, N = 3 SE +/- 8.25, N = 3 SE +/- 1.89, N = 3 SE +/- 1.85, N = 3 SE +/- 3.57, N = 3 SE +/- 5.12, N = 3 2453 2504 1912 2055 2625 2602 2209 2320 2575 2346 2193 2435 2169 2301 2445 2483 2385 2355 2488 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 500 1000 1500 2000 2500 Min: 2444.99 / Avg: 2453.01 / Max: 2463.05 Min: 2500 / Avg: 2504.19 / Max: 2512.56 Min: 1901.14 / Avg: 1912.09 / Max: 1923.08 Min: 2044.99 / Avg: 2054.85 / Max: 2070.39 Min: 2617.8 / Avg: 2624.68 / Max: 2631.58 Min: 2590.67 / Avg: 2601.94 / Max: 2610.97 Min: 2207.51 / Avg: 2209.13 / Max: 2212.39 Min: 2314.81 / Avg: 2320.19 / Max: 2325.58 Min: 2570.69 / Avg: 2575.11 / Max: 2577.32 Min: 2341.92 / Avg: 2345.59 / Max: 2352.94 Min: 2169.2 / Avg: 2193.12 / Max: 2207.51 Min: 2433.09 / Avg: 2435.07 / Max: 2439.02 Min: 2155.17 / Avg: 2169.26 / Max: 2183.41 Min: 2298.85 / Avg: 2300.62 / Max: 2304.15 Min: 2439.02 / Avg: 2445.02 / Max: 2457 Min: 2475.25 / Avg: 2483.5 / Max: 2500 Min: 2380.95 / Avg: 2384.74 / Max: 2386.63 Min: 2352.94 / Avg: 2354.79 / Max: 2358.49 Min: 2481.39 / Avg: 2487.57 / Max: 2493.77 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 20K 40K 60K 80K 100K SE +/- 95.35, N = 3 SE +/- 951.90, N = 3 SE +/- 28.35, N = 3 SE +/- 99.31, N = 3 SE +/- 34.00, N = 3 SE +/- 295.81, N = 3 SE +/- 482.48, N = 3 SE +/- 58.89, N = 3 SE +/- 40.88, N = 3 SE +/- 215.91, N = 3 SE +/- 2925.14, N = 15 SE +/- 159.45, N = 3 SE +/- 48.50, N = 3 SE +/- 46.07, N = 3 SE +/- 1639.18, N = 15 SE +/- 98.16, N = 3 SE +/- 14.77, N = 3 SE +/- 120.31, N = 3 SE +/- 270.59, N = 3 81683 80200 74361 76141 75192 79050 84809 88694 69107 85230 68835 68979 75301 73660 74842 70290 62139 61568 81848 74949 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 15K 30K 45K 60K 75K Min: 81585 / Avg: 81683.33 / Max: 81874 Min: 78418 / Avg: 80200.33 / Max: 81671 Min: 76107 / Avg: 76140.67 / Max: 76197 Min: 75035 / Avg: 75192.33 / Max: 75376 Min: 78982 / Avg: 79050 / Max: 79084 Min: 84435 / Avg: 84809 / Max: 85393 Min: 87822 / Avg: 88693.67 / Max: 89488 Min: 69005 / Avg: 69106.67 / Max: 69209 Min: 85148 / Avg: 85229.67 / Max: 85274 Min: 68517 / Avg: 68835 / Max: 69247 Min: 59677 / Avg: 68979.2 / Max: 84033 Min: 74989 / Avg: 75300.67 / Max: 75515 Min: 73563 / Avg: 73660 / Max: 73709 Min: 74784 / Avg: 74842 / Max: 74933 Min: 59832 / Avg: 70290.07 / Max: 83284 Min: 61998 / Avg: 62139.33 / Max: 62328 Min: 61539 / Avg: 61568.33 / Max: 61586 Min: 81658 / Avg: 81848.33 / Max: 82071 Min: 74488 / Avg: 74949 / Max: 75425 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 2M 4M 6M 8M 10M SE +/- 60813.81, N = 3 SE +/- 83401.53, N = 4 SE +/- 54822.83, N = 10 SE +/- 64286.26, N = 3 SE +/- 91804.03, N = 3 SE +/- 47967.21, N = 3 SE +/- 66115.31, N = 6 SE +/- 23411.23, N = 3 SE +/- 13365.44, N = 3 SE +/- 27245.95, N = 3 SE +/- 33413.74, N = 3 SE +/- 58932.94, N = 9 SE +/- 78634.61, N = 5 SE +/- 4457.96, N = 3 SE +/- 43739.49, N = 3 SE +/- 5490.09, N = 3 SE +/- 11189.60, N = 3 SE +/- 16641.25, N = 3 SE +/- 16322.76, N = 3 SE +/- 13083.28, N = 3 6311538 5911066 5872734 6069924 5628949 6451888 5439046 5955306 7812765 6322595 7299102 6169606 5977043 6478221 6340115 6617325 6548322 6446053 6724444 7432010 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 1.4M 2.8M 4.2M 5.6M 7M Min: 6230341 / Avg: 6311538 / Max: 6430560 Min: 5745490 / Avg: 5911066.25 / Max: 6083542 Min: 5665156 / Avg: 5872733.9 / Max: 6263416 Min: 5950694 / Avg: 6069924.33 / Max: 6171208 Min: 5474789 / Avg: 5628948.67 / Max: 5792400 Min: 6356940 / Avg: 6451888.33 / Max: 6511244 Min: 5307839 / Avg: 5439045.5 / Max: 5725219 Min: 5911775 / Avg: 5955306.33 / Max: 5992006 Min: 7786435 / Avg: 7812765.33 / Max: 7829923 Min: 6268240 / Avg: 6322595.33 / Max: 6353112 Min: 7253372 / Avg: 7299102 / Max: 7364169 Min: 5765543 / Avg: 6169606 / Max: 6421933 Min: 5669153 / Avg: 5977043.4 / Max: 6096958 Min: 6471681 / Avg: 6478221 / Max: 6486739 Min: 6255345 / Avg: 6340114.67 / Max: 6401208 Min: 6607733 / Avg: 6617325.33 / Max: 6626749 Min: 6526815 / Avg: 6548321.67 / Max: 6564434 Min: 6419058 / Avg: 6446052.67 / Max: 6476410 Min: 6706889 / Avg: 6724444.33 / Max: 6757058 Min: 7406367 / Avg: 7432010.33 / Max: 7449341 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 16 32 48 64 80 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.10, N = 3 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 SE +/- 0.09, N = 3 SE +/- 0.07, N = 3 SE +/- 0.11, N = 3 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 SE +/- 0.08, N = 3 SE +/- 0.07, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.12, N = 3 SE +/- 0.10, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 53.72 62.98 69.76 72.47 59.93 52.82 59.36 57.27 52.86 54.97 61.05 56.78 72.49 58.83 54.62 58.14 60.13 58.36 53.80 51.41 1. RawTherapee, version 5.8, command line.
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better RawTherapee Total Benchmark Time EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 14 28 42 56 70 Min: 53.63 / Avg: 53.72 / Max: 53.77 Min: 62.92 / Avg: 62.98 / Max: 63.01 Min: 69.64 / Avg: 69.76 / Max: 69.97 Min: 72.43 / Avg: 72.47 / Max: 72.51 Min: 59.8 / Avg: 59.93 / Max: 60.03 Min: 52.64 / Avg: 52.82 / Max: 52.94 Min: 59.28 / Avg: 59.36 / Max: 59.51 Min: 57.1 / Avg: 57.27 / Max: 57.49 Min: 52.74 / Avg: 52.86 / Max: 53.01 Min: 54.91 / Avg: 54.97 / Max: 55.02 Min: 61.02 / Avg: 61.05 / Max: 61.08 Min: 56.67 / Avg: 56.78 / Max: 56.91 Min: 72.37 / Avg: 72.49 / Max: 72.65 Min: 58.72 / Avg: 58.83 / Max: 58.96 Min: 54.56 / Avg: 54.62 / Max: 54.71 Min: 58.06 / Avg: 58.14 / Max: 58.22 Min: 59.99 / Avg: 60.13 / Max: 60.38 Min: 58.17 / Avg: 58.36 / Max: 58.51 Min: 53.76 / Avg: 53.8 / Max: 53.82 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7502P EPYC 7F72 3 6 9 12 15 SE +/- 0.124, N = 3 SE +/- 0.086, N = 3 SE +/- 0.060, N = 3 SE +/- 0.032, N = 3 SE +/- 0.041, N = 3 SE +/- 0.091, N = 3 SE +/- 0.080, N = 3 SE +/- 0.101, N = 3 SE +/- 0.014, N = 3 SE +/- 0.029, N = 3 SE +/- 0.049, N = 3 SE +/- 0.037, N = 3 SE +/- 0.034, N = 3 SE +/- 0.012, N = 3 SE +/- 0.060, N = 3 SE +/- 0.025, N = 3 9.472 9.842 9.613 9.965 9.250 9.295 9.692 10.026 7.182 9.571 7.603 9.291 9.051 9.426 9.504 7.331 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7502P EPYC 7F72 3 6 9 12 15 Min: 9.33 / Avg: 9.47 / Max: 9.72 Min: 9.72 / Avg: 9.84 / Max: 10.01 Min: 9.5 / Avg: 9.61 / Max: 9.7 Min: 9.9 / Avg: 9.97 / Max: 10 Min: 9.2 / Avg: 9.25 / Max: 9.33 Min: 9.13 / Avg: 9.29 / Max: 9.45 Min: 9.54 / Avg: 9.69 / Max: 9.8 Min: 9.83 / Avg: 10.03 / Max: 10.16 Min: 7.16 / Avg: 7.18 / Max: 7.21 Min: 9.52 / Avg: 9.57 / Max: 9.62 Min: 7.52 / Avg: 7.6 / Max: 7.69 Min: 9.23 / Avg: 9.29 / Max: 9.36 Min: 9 / Avg: 9.05 / Max: 9.12 Min: 9.41 / Avg: 9.43 / Max: 9.45 Min: 9.39 / Avg: 9.5 / Max: 9.57 Min: 7.3 / Avg: 7.33 / Max: 7.38 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 1.2047 2.4094 3.6141 4.8188 6.0235 SE +/- 0.009984, N = 3 SE +/- 0.001386, N = 3 SE +/- 0.011124, N = 3 SE +/- 0.029170, N = 3 SE +/- 0.005936, N = 3 SE +/- 0.002205, N = 3 SE +/- 0.041024, N = 3 SE +/- 0.005292, N = 3 SE +/- 0.005492, N = 3 SE +/- 0.003085, N = 3 SE +/- 0.009248, N = 3 SE +/- 0.012710, N = 3 SE +/- 0.035846, N = 3 SE +/- 0.003541, N = 3 SE +/- 0.006874, N = 3 SE +/- 0.007590, N = 3 SE +/- 0.011361, N = 3 SE +/- 0.006914, N = 3 SE +/- 0.004608, N = 3 SE +/- 0.010372, N = 3 4.412687 4.734690 4.406652 4.784334 4.670712 4.362872 4.777518 4.510940 3.836466 4.416565 3.867440 4.490296 5.354166 4.481216 4.450068 4.495252 4.452469 4.516180 4.449033 4.248951 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 2 4 6 8 10 Min: 4.4 / Avg: 4.41 / Max: 4.43 Min: 4.73 / Avg: 4.73 / Max: 4.74 Min: 4.39 / Avg: 4.41 / Max: 4.43 Min: 4.74 / Avg: 4.78 / Max: 4.84 Min: 4.66 / Avg: 4.67 / Max: 4.68 Min: 4.36 / Avg: 4.36 / Max: 4.37 Min: 4.7 / Avg: 4.78 / Max: 4.82 Min: 4.51 / Avg: 4.51 / Max: 4.52 Min: 3.83 / Avg: 3.84 / Max: 3.85 Min: 4.41 / Avg: 4.42 / Max: 4.42 Min: 3.85 / Avg: 3.87 / Max: 3.88 Min: 4.47 / Avg: 4.49 / Max: 4.51 Min: 5.29 / Avg: 5.35 / Max: 5.42 Min: 4.48 / Avg: 4.48 / Max: 4.49 Min: 4.44 / Avg: 4.45 / Max: 4.46 Min: 4.48 / Avg: 4.5 / Max: 4.51 Min: 4.43 / Avg: 4.45 / Max: 4.47 Min: 4.51 / Avg: 4.52 / Max: 4.53 Min: 4.44 / Avg: 4.45 / Max: 4.46 Min: 4.24 / Avg: 4.25 / Max: 4.27 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 2 4 6 8 10 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 5.80 6.77 6.97 7.39 6.45 5.69 6.35 5.91 5.32 5.83 6.11 5.77 7.30 6.27 5.92 5.76 5.67 5.73 5.79 5.39 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 3 6 9 12 15 Min: 5.78 / Avg: 5.8 / Max: 5.83 Min: 6.73 / Avg: 6.77 / Max: 6.81 Min: 6.97 / Avg: 6.97 / Max: 6.98 Min: 7.38 / Avg: 7.39 / Max: 7.41 Min: 6.43 / Avg: 6.45 / Max: 6.47 Min: 5.66 / Avg: 5.69 / Max: 5.71 Min: 6.32 / Avg: 6.35 / Max: 6.38 Min: 5.88 / Avg: 5.91 / Max: 5.93 Min: 5.3 / Avg: 5.32 / Max: 5.35 Min: 5.82 / Avg: 5.83 / Max: 5.84 Min: 6.1 / Avg: 6.11 / Max: 6.12 Min: 5.75 / Avg: 5.77 / Max: 5.79 Min: 7.29 / Avg: 7.3 / Max: 7.31 Min: 6.26 / Avg: 6.27 / Max: 6.27 Min: 5.89 / Avg: 5.92 / Max: 5.95 Min: 5.75 / Avg: 5.76 / Max: 5.78 Min: 5.64 / Avg: 5.67 / Max: 5.69 Min: 5.72 / Avg: 5.73 / Max: 5.73 Min: 5.78 / Avg: 5.79 / Max: 5.8 Min: 5.38 / Avg: 5.39 / Max: 5.41 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 5 10 15 20 25 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 SE +/- 0.13, N = 3 SE +/- 0.06, N = 3 SE +/- 0.12, N = 3 SE +/- 0.03, N = 3 SE +/- 0.12, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.10, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 17.94 16.45 15.74 16.29 16.88 17.65 18.25 19.03 15.38 18.17 13.75 18.39 16.31 16.93 17.28 18.63 18.31 18.44 17.96 16.20
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GIMP 2.10.18 Test: auto-levels EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 5 10 15 20 25 Min: 17.92 / Avg: 17.94 / Max: 17.95 Min: 16.42 / Avg: 16.45 / Max: 16.47 Min: 15.66 / Avg: 15.74 / Max: 15.82 Min: 16.27 / Avg: 16.29 / Max: 16.3 Min: 16.78 / Avg: 16.88 / Max: 16.98 Min: 17.62 / Avg: 17.65 / Max: 17.69 Min: 18.18 / Avg: 18.25 / Max: 18.39 Min: 18.79 / Avg: 19.03 / Max: 19.24 Min: 15.29 / Avg: 15.38 / Max: 15.48 Min: 17.98 / Avg: 18.17 / Max: 18.38 Min: 13.7 / Avg: 13.75 / Max: 13.81 Min: 18.26 / Avg: 18.39 / Max: 18.63 Min: 16.27 / Avg: 16.31 / Max: 16.36 Min: 16.9 / Avg: 16.93 / Max: 16.95 Min: 17.22 / Avg: 17.28 / Max: 17.35 Min: 18.56 / Avg: 18.63 / Max: 18.69 Min: 18.27 / Avg: 18.31 / Max: 18.37 Min: 18.23 / Avg: 18.44 / Max: 18.55 Min: 17.87 / Avg: 17.96 / Max: 18.06 Min: 16.17 / Avg: 16.2 / Max: 16.24
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 90K 180K 270K 360K 450K SE +/- 189.78, N = 3 SE +/- 1086.97, N = 3 SE +/- 108.93, N = 3 SE +/- 161.37, N = 3 SE +/- 357.06, N = 3 SE +/- 227.82, N = 3 SE +/- 904.07, N = 3 SE +/- 1305.38, N = 3 SE +/- 434.25, N = 3 SE +/- 583.08, N = 3 SE +/- 510.20, N = 3 SE +/- 4952.89, N = 3 SE +/- 1246.76, N = 3 SE +/- 2314.26, N = 3 SE +/- 687.60, N = 3 SE +/- 7856.58, N = 9 SE +/- 509.80, N = 3 SE +/- 339.60, N = 3 SE +/- 403.57, N = 3 SE +/- 688.36, N = 3 408029 375660 365509 368379 370870 390515 428417 438631 345522 428034 336529 317560 368302 368724 371338 358400 324951 323169 407984 370762 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 80K 160K 240K 320K 400K Min: 407694 / Avg: 408029.33 / Max: 408351 Min: 373544 / Avg: 375660.33 / Max: 377149 Min: 365334 / Avg: 365509.33 / Max: 365709 Min: 368059 / Avg: 368378.67 / Max: 368577 Min: 370484 / Avg: 370869.67 / Max: 371583 Min: 390095 / Avg: 390515 / Max: 390878 Min: 427168 / Avg: 428417.33 / Max: 430174 Min: 436538 / Avg: 438631 / Max: 441029 Min: 344906 / Avg: 345521.67 / Max: 346360 Min: 427137 / Avg: 428034.33 / Max: 429128 Min: 335826 / Avg: 336529 / Max: 337521 Min: 311387 / Avg: 317560.33 / Max: 327356 Min: 365859 / Avg: 368302 / Max: 369956 Min: 366319 / Avg: 368723.67 / Max: 373351 Min: 369969 / Avg: 371337.67 / Max: 372138 Min: 335480 / Avg: 358400 / Max: 395035 Min: 324015 / Avg: 324951.33 / Max: 325769 Min: 322554 / Avg: 323169.33 / Max: 323726 Min: 407286 / Avg: 407984.33 / Max: 408684 Min: 369781 / Avg: 370762 / Max: 372089 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 8 16 24 32 40 SE +/- 0.05, N = 3 SE +/- 0.13, N = 3 SE +/- 0.12, N = 3 SE +/- 0.10, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.29, N = 3 SE +/- 0.09, N = 3 SE +/- 0.08, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.10, N = 3 SE +/- 0.16, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.08, N = 3 SE +/- 0.04, N = 3 32.76 32.52 30.66 32.18 32.94 32.40 33.82 32.44 24.80 32.97 24.72 33.26 33.56 32.00 32.46 33.28 33.54 33.66 32.74 26.26 1. EPYC 7502: rsvg-convert version 2.50.1 2. EPYC 7272: rsvg-convert version 2.50.1 3. EPYC 7262: rsvg-convert version 2.50.1 4. EPYC 7252: rsvg-convert version 2.50.1 5. EPYC 7282: rsvg-convert version 2.50.1 6. EPYC 7542: rsvg-convert version 2.50.1 7. EPYC 7352: rsvg-convert version 2.50.1 8. EPYC 7532: rsvg-convert version 2.50.1 9. EPYC 7F52: rsvg-convert version 2.50.1 10. EPYC 7452: rsvg-convert version 2.50.1 11. EPYC 7F32: rsvg-convert version 2.50.1 12. EPYC 7552: rsvg-convert version 2.50.1 13. EPYC 7232P: rsvg-convert version 2.50.1 14. EPYC 7302P: rsvg-convert version 2.50.1 15. EPYC 7402P: rsvg-convert version 2.50.1 16. EPYC 7642: rsvg-convert version 2.50.1 17. EPYC 7702: rsvg-convert version 2.50.1 18. EPYC 7662: rsvg-convert version 2.50.1 19. EPYC 7502P: rsvg-convert version 2.50.1 20. EPYC 7F72: rsvg-convert version 2.50.0
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better librsvg Operation: SVG Files To PNG EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 7 14 21 28 35 Min: 32.66 / Avg: 32.76 / Max: 32.83 Min: 32.35 / Avg: 32.52 / Max: 32.78 Min: 30.42 / Avg: 30.65 / Max: 30.84 Min: 31.99 / Avg: 32.18 / Max: 32.32 Min: 32.89 / Avg: 32.94 / Max: 32.99 Min: 32.37 / Avg: 32.4 / Max: 32.44 Min: 33.74 / Avg: 33.82 / Max: 33.87 Min: 31.88 / Avg: 32.44 / Max: 32.87 Min: 24.68 / Avg: 24.8 / Max: 24.99 Min: 32.85 / Avg: 32.97 / Max: 33.11 Min: 24.65 / Avg: 24.72 / Max: 24.81 Min: 33.22 / Avg: 33.26 / Max: 33.31 Min: 33.41 / Avg: 33.56 / Max: 33.74 Min: 31.69 / Avg: 32 / Max: 32.17 Min: 32.35 / Avg: 32.46 / Max: 32.55 Min: 33.22 / Avg: 33.27 / Max: 33.33 Min: 33.49 / Avg: 33.54 / Max: 33.6 Min: 33.55 / Avg: 33.66 / Max: 33.79 Min: 32.59 / Avg: 32.74 / Max: 32.84 Min: 26.19 / Avg: 26.26 / Max: 26.33 1. EPYC 7502: rsvg-convert version 2.50.1 2. EPYC 7272: rsvg-convert version 2.50.1 3. EPYC 7262: rsvg-convert version 2.50.1 4. EPYC 7252: rsvg-convert version 2.50.1 5. EPYC 7282: rsvg-convert version 2.50.1 6. EPYC 7542: rsvg-convert version 2.50.1 7. EPYC 7352: rsvg-convert version 2.50.1 8. EPYC 7532: rsvg-convert version 2.50.1 9. EPYC 7F52: rsvg-convert version 2.50.1 10. EPYC 7452: rsvg-convert version 2.50.1 11. EPYC 7F32: rsvg-convert version 2.50.1 12. EPYC 7552: rsvg-convert version 2.50.1 13. EPYC 7232P: rsvg-convert version 2.50.1 14. EPYC 7302P: rsvg-convert version 2.50.1 15. EPYC 7402P: rsvg-convert version 2.50.1 16. EPYC 7642: rsvg-convert version 2.50.1 17. EPYC 7702: rsvg-convert version 2.50.1 18. EPYC 7662: rsvg-convert version 2.50.1 19. EPYC 7502P: rsvg-convert version 2.50.1 20. EPYC 7F72: rsvg-convert version 2.50.0
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 6 12 18 24 30 SE +/- 0.11, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.10, N = 3 SE +/- 0.15, N = 3 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 SE +/- 0.05, N = 3 SE +/- 0.11, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.07, N = 3 SE +/- 0.02, N = 3 SE +/- 0.10, N = 3 SE +/- 0.05, N = 3 SE +/- 0.09, N = 3 23.52 20.95 20.00 20.31 21.44 23.20 23.79 24.25 20.00 23.65 17.74 23.58 20.50 21.84 22.48 24.07 23.82 23.63 23.22 21.13
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GIMP 2.10.18 Test: unsharp-mask EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 6 12 18 24 30 Min: 23.3 / Avg: 23.52 / Max: 23.66 Min: 20.87 / Avg: 20.95 / Max: 21.03 Min: 19.95 / Avg: 20 / Max: 20.09 Min: 20.22 / Avg: 20.31 / Max: 20.36 Min: 21.26 / Avg: 21.44 / Max: 21.62 Min: 23.02 / Avg: 23.2 / Max: 23.51 Min: 23.73 / Avg: 23.79 / Max: 23.83 Min: 24.14 / Avg: 24.25 / Max: 24.4 Min: 19.9 / Avg: 20 / Max: 20.09 Min: 23.5 / Avg: 23.65 / Max: 23.85 Min: 17.67 / Avg: 17.74 / Max: 17.81 Min: 23.52 / Avg: 23.58 / Max: 23.62 Min: 20.43 / Avg: 20.5 / Max: 20.53 Min: 21.81 / Avg: 21.84 / Max: 21.9 Min: 22.36 / Avg: 22.48 / Max: 22.58 Min: 23.98 / Avg: 24.07 / Max: 24.22 Min: 23.79 / Avg: 23.82 / Max: 23.84 Min: 23.46 / Avg: 23.63 / Max: 23.79 Min: 23.14 / Avg: 23.22 / Max: 23.3 Min: 21.02 / Avg: 21.13 / Max: 21.32
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 200 400 600 800 1000 SE +/- 6.60, N = 3 SE +/- 11.22, N = 3 SE +/- 4.67, N = 3 SE +/- 5.02, N = 3 SE +/- 21.34, N = 3 SE +/- 8.39, N = 3 SE +/- 8.50, N = 3 SE +/- 38.98, N = 3 SE +/- 16.69, N = 3 SE +/- 10.86, N = 3 SE +/- 17.92, N = 3 SE +/- 8.36, N = 3 SE +/- 15.59, N = 3 SE +/- 11.51, N = 3 SE +/- 4.03, N = 3 SE +/- 5.88, N = 3 SE +/- 10.78, N = 3 SE +/- 5.69, N = 3 SE +/- 7.47, N = 3 SE +/- 11.47, N = 3 766.54 716.82 774.32 719.49 713.64 752.97 726.84 652.80 887.80 769.74 847.88 770.26 725.40 757.12 766.08 748.18 768.64 762.29 767.66 851.93 1. (CC) gcc options: -lm
Result Confidence
OpenBenchmarking.org Mflops, More Is Better SciMark 2.0 Computational Test: Dense LU Matrix Factorization EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 160 320 480 640 800 Min: 753.8 / Avg: 766.54 / Max: 775.89 Min: 700.45 / Avg: 716.82 / Max: 738.29 Min: 766.02 / Avg: 774.32 / Max: 782.19 Min: 710.35 / Avg: 719.49 / Max: 727.66 Min: 678.71 / Avg: 713.64 / Max: 752.34 Min: 742.18 / Avg: 752.97 / Max: 769.49 Min: 713.59 / Avg: 726.84 / Max: 742.7 Min: 612.21 / Avg: 652.8 / Max: 730.74 Min: 861.26 / Avg: 887.8 / Max: 918.59 Min: 750.01 / Avg: 769.74 / Max: 787.46 Min: 813.32 / Avg: 847.88 / Max: 873.38 Min: 757.87 / Avg: 770.26 / Max: 786.18 Min: 698.44 / Avg: 725.4 / Max: 752.43 Min: 743.57 / Avg: 757.12 / Max: 780.02 Min: 758.09 / Avg: 766.08 / Max: 770.97 Min: 741.69 / Avg: 748.18 / Max: 759.91 Min: 747.43 / Avg: 768.64 / Max: 782.6 Min: 751.02 / Avg: 762.29 / Max: 769.3 Min: 753.77 / Avg: 767.66 / Max: 779.38 Min: 833.91 / Avg: 851.93 / Max: 873.23 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 50K 100K 150K 200K 250K SE +/- 324.32, N = 3 SE +/- 851.31, N = 3 SE +/- 323.85, N = 3 SE +/- 315.77, N = 3 SE +/- 267.63, N = 3 SE +/- 380.24, N = 3 SE +/- 2045.88, N = 3 SE +/- 957.14, N = 3 SE +/- 329.04, N = 3 SE +/- 206.99, N = 3 SE +/- 330.74, N = 3 SE +/- 3084.79, N = 12 SE +/- 257.35, N = 3 SE +/- 69.83, N = 3 SE +/- 127.33, N = 3 SE +/- 2682.21, N = 12 SE +/- 83.95, N = 3 SE +/- 489.67, N = 3 SE +/- 129.37, N = 3 SE +/- 1306.16, N = 3 203772 187798 183100 183925 185308 195590 209600 218984 172494 213475 167810 165786 184509 183027 185776 177549 162845 161679 203437 184637 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 40K 80K 120K 160K 200K Min: 203233 / Avg: 203772 / Max: 204354 Min: 186460 / Avg: 187798.33 / Max: 189379 Min: 182465 / Avg: 183099.67 / Max: 183529 Min: 183587 / Avg: 183925 / Max: 184556 Min: 184775 / Avg: 185308 / Max: 185617 Min: 195038 / Avg: 195590 / Max: 196319 Min: 207151 / Avg: 209599.67 / Max: 213663 Min: 217558 / Avg: 218984 / Max: 220803 Min: 171844 / Avg: 172494 / Max: 172908 Min: 213201 / Avg: 213475.33 / Max: 213881 Min: 167261 / Avg: 167809.67 / Max: 168404 Min: 155868 / Avg: 165785.58 / Max: 190504 Min: 184055 / Avg: 184509 / Max: 184946 Min: 182924 / Avg: 183026.67 / Max: 183160 Min: 185553 / Avg: 185776 / Max: 185994 Min: 157259 / Avg: 177549 / Max: 190775 Min: 162677 / Avg: 162844.67 / Max: 162936 Min: 160807 / Avg: 161679.33 / Max: 162501 Min: 203278 / Avg: 203436.67 / Max: 203693 Min: 182918 / Avg: 184637 / Max: 187200 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 6 12 18 24 30 SE +/- 0.15, N = 3 SE +/- 0.14, N = 3 SE +/- 0.14, N = 3 SE +/- 0.22, N = 3 SE +/- 0.05, N = 3 SE +/- 0.11, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.10, N = 3 SE +/- 0.08, N = 3 SE +/- 0.23, N = 3 SE +/- 0.01, N = 3 SE +/- 0.12, N = 3 SE +/- 0.07, N = 3 SE +/- 0.16, N = 3 SE +/- 0.03, N = 3 SE +/- 0.11, N = 3 SE +/- 0.09, N = 3 SE +/- 0.18, N = 3 SE +/- 0.06, N = 3 18.53 18.71 18.23 17.10 18.68 18.86 17.65 18.40 22.98 18.44 22.33 18.12 18.13 18.97 18.76 18.46 18.27 18.07 18.77 22.04 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 5 10 15 20 25 Min: 18.3 / Avg: 18.53 / Max: 18.82 Min: 18.57 / Avg: 18.71 / Max: 18.98 Min: 17.95 / Avg: 18.23 / Max: 18.42 Min: 16.86 / Avg: 17.1 / Max: 17.53 Min: 18.6 / Avg: 18.68 / Max: 18.77 Min: 18.67 / Avg: 18.86 / Max: 19.06 Min: 17.62 / Avg: 17.65 / Max: 17.71 Min: 18.31 / Avg: 18.4 / Max: 18.46 Min: 22.8 / Avg: 22.98 / Max: 23.16 Min: 18.28 / Avg: 18.44 / Max: 18.53 Min: 21.98 / Avg: 22.33 / Max: 22.76 Min: 18.09 / Avg: 18.12 / Max: 18.14 Min: 18 / Avg: 18.13 / Max: 18.37 Min: 18.84 / Avg: 18.97 / Max: 19.04 Min: 18.6 / Avg: 18.76 / Max: 19.08 Min: 18.41 / Avg: 18.46 / Max: 18.52 Min: 18.08 / Avg: 18.27 / Max: 18.46 Min: 17.9 / Avg: 18.07 / Max: 18.19 Min: 18.47 / Avg: 18.77 / Max: 19.08 Min: 21.97 / Avg: 22.04 / Max: 22.17 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 5 10 15 20 25 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.08, N = 3 SE +/- 0.09, N = 3 SE +/- 0.04, N = 3 SE +/- 0.10, N = 3 SE +/- 0.09, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.10, N = 3 SE +/- 0.14, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.06, N = 3 15.44 15.04 15.29 14.73 15.43 15.80 14.53 15.17 19.50 15.04 18.05 14.82 15.11 15.93 15.69 14.83 14.66 14.78 15.30 18.99 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 5 10 15 20 25 Min: 15.36 / Avg: 15.44 / Max: 15.56 Min: 15 / Avg: 15.04 / Max: 15.1 Min: 15.22 / Avg: 15.29 / Max: 15.38 Min: 14.71 / Avg: 14.73 / Max: 14.76 Min: 15.28 / Avg: 15.43 / Max: 15.57 Min: 15.68 / Avg: 15.8 / Max: 15.97 Min: 14.47 / Avg: 14.53 / Max: 14.6 Min: 15.06 / Avg: 15.17 / Max: 15.37 Min: 19.41 / Avg: 19.5 / Max: 19.68 Min: 15 / Avg: 15.04 / Max: 15.08 Min: 17.97 / Avg: 18.05 / Max: 18.15 Min: 14.79 / Avg: 14.82 / Max: 14.85 Min: 15.01 / Avg: 15.11 / Max: 15.22 Min: 15.78 / Avg: 15.93 / Max: 16.12 Min: 15.55 / Avg: 15.69 / Max: 15.98 Min: 14.8 / Avg: 14.83 / Max: 14.86 Min: 14.63 / Avg: 14.66 / Max: 14.72 Min: 14.72 / Avg: 14.78 / Max: 14.86 Min: 15.19 / Avg: 15.3 / Max: 15.39 Min: 18.88 / Avg: 18.99 / Max: 19.07 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 7 14 21 28 35 SE +/- 0.02, N = 3 SE +/- 0.10, N = 3 SE +/- 0.07, N = 3 SE +/- 0.07, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, 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 +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 26.81 28.79 28.95 30.39 28.02 26.41 28.52 27.21 22.87 26.90 24.53 27.18 30.66 27.38 26.70 27.14 26.94 27.21 26.82 23.65
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed Apache Compilation 2.4.41 Time To Compile EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 7 14 21 28 35 Min: 26.78 / Avg: 26.81 / Max: 26.84 Min: 28.59 / Avg: 28.78 / Max: 28.89 Min: 28.87 / Avg: 28.95 / Max: 29.09 Min: 30.25 / Avg: 30.39 / Max: 30.49 Min: 27.91 / Avg: 28.02 / Max: 28.08 Min: 26.39 / Avg: 26.41 / Max: 26.44 Min: 28.45 / Avg: 28.52 / Max: 28.58 Min: 27.16 / Avg: 27.21 / Max: 27.25 Min: 22.85 / Avg: 22.87 / Max: 22.89 Min: 26.86 / Avg: 26.89 / Max: 26.93 Min: 24.49 / Avg: 24.53 / Max: 24.61 Min: 27.15 / Avg: 27.18 / Max: 27.21 Min: 30.61 / Avg: 30.66 / Max: 30.73 Min: 27.36 / Avg: 27.38 / Max: 27.41 Min: 26.66 / Avg: 26.7 / Max: 26.78 Min: 27.12 / Avg: 27.14 / Max: 27.18 Min: 26.9 / Avg: 26.94 / Max: 26.98 Min: 27.17 / Avg: 27.21 / Max: 27.25 Min: 26.78 / Avg: 26.82 / Max: 26.88 Min: 23.59 / Avg: 23.65 / Max: 23.74
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 14 28 42 56 70 SE +/- 0.02, N = 3 SE +/- 0.42, N = 3 SE +/- 0.27, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.10, N = 3 SE +/- 0.10, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.19, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.08, N = 3 53.24 59.55 60.37 64.23 56.98 52.45 57.36 54.66 47.99 53.51 53.75 53.66 63.21 55.60 53.71 53.82 53.05 53.59 53.31 49.59 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 13 26 39 52 65 Min: 53.2 / Avg: 53.24 / Max: 53.27 Min: 59.1 / Avg: 59.55 / Max: 60.39 Min: 59.95 / Avg: 60.37 / Max: 60.88 Min: 64.18 / Avg: 64.23 / Max: 64.32 Min: 56.93 / Avg: 56.98 / Max: 57.02 Min: 52.38 / Avg: 52.45 / Max: 52.56 Min: 57.2 / Avg: 57.36 / Max: 57.55 Min: 54.49 / Avg: 54.65 / Max: 54.84 Min: 47.94 / Avg: 47.99 / Max: 48.03 Min: 53.47 / Avg: 53.51 / Max: 53.54 Min: 53.37 / Avg: 53.75 / Max: 54.01 Min: 53.59 / Avg: 53.66 / Max: 53.7 Min: 63.19 / Avg: 63.21 / Max: 63.22 Min: 55.5 / Avg: 55.6 / Max: 55.71 Min: 53.63 / Avg: 53.71 / Max: 53.83 Min: 53.73 / Avg: 53.82 / Max: 53.89 Min: 53 / Avg: 53.05 / Max: 53.13 Min: 53.57 / Avg: 53.59 / Max: 53.6 Min: 53.31 / Avg: 53.31 / Max: 53.31 Min: 49.5 / Avg: 49.58 / Max: 49.74 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 0.725 1.45 2.175 2.9 3.625 SE +/- 0.003620, N = 3 SE +/- 0.002712, N = 3 SE +/- 0.005671, N = 3 SE +/- 0.016878, N = 3 SE +/- 0.003332, N = 3 SE +/- 0.001339, N = 3 SE +/- 0.001591, N = 3 SE +/- 0.000645, N = 3 SE +/- 0.000813, N = 3 SE +/- 0.002802, N = 3 SE +/- 0.002402, N = 3 SE +/- 0.002139, N = 3 SE +/- 0.016890, N = 3 SE +/- 0.004096, N = 3 SE +/- 0.000361, N = 3 SE +/- 0.003031, N = 3 SE +/- 0.002876, N = 3 SE +/- 0.024969, N = 3 SE +/- 0.001660, N = 3 SE +/- 0.007796, N = 3 2.802039 2.962278 2.787508 2.996117 2.936601 2.758205 2.980562 2.853650 2.414850 2.802675 2.440883 2.847956 3.222167 2.844541 2.801377 2.842580 2.812404 2.879442 2.826791 2.570908 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 2 4 6 8 10 Min: 2.79 / Avg: 2.8 / Max: 2.81 Min: 2.96 / Avg: 2.96 / Max: 2.97 Min: 2.78 / Avg: 2.79 / Max: 2.8 Min: 2.97 / Avg: 3 / Max: 3.03 Min: 2.93 / Avg: 2.94 / Max: 2.94 Min: 2.76 / Avg: 2.76 / Max: 2.76 Min: 2.98 / Avg: 2.98 / Max: 2.98 Min: 2.85 / Avg: 2.85 / Max: 2.85 Min: 2.41 / Avg: 2.41 / Max: 2.42 Min: 2.8 / Avg: 2.8 / Max: 2.81 Min: 2.44 / Avg: 2.44 / Max: 2.44 Min: 2.85 / Avg: 2.85 / Max: 2.85 Min: 3.19 / Avg: 3.22 / Max: 3.25 Min: 2.84 / Avg: 2.84 / Max: 2.85 Min: 2.8 / Avg: 2.8 / Max: 2.8 Min: 2.84 / Avg: 2.84 / Max: 2.85 Min: 2.81 / Avg: 2.81 / Max: 2.82 Min: 2.85 / Avg: 2.88 / Max: 2.93 Min: 2.82 / Avg: 2.83 / Max: 2.83 Min: 2.56 / Avg: 2.57 / Max: 2.59 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 200 400 600 800 1000 1046.72 1042.95 1161.30 1043.71 1043.83 1038.02 1107.34 1105.99 906.52 1080.92 945.92 1102.07 1052.76 1072.30 1060.62 1100.05 1098.03 1100.25 1053.92 870.72
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 300K 600K 900K 1200K 1500K SE +/- 1795.11, N = 3 SE +/- 2878.39, N = 3 SE +/- 847.00, N = 3 SE +/- 911.67, N = 3 SE +/- 530.40, N = 3 SE +/- 1437.35, N = 3 SE +/- 1041.29, N = 3 SE +/- 1365.15, N = 3 SE +/- 1967.95, N = 3 SE +/- 1318.45, N = 3 SE +/- 3199.10, N = 3 SE +/- 1810.72, N = 3 SE +/- 814.64, N = 3 SE +/- 1307.15, N = 3 SE +/- 1128.81, N = 3 SE +/- 1742.78, N = 3 SE +/- 1031.15, N = 3 SE +/- 1410.52, N = 3 SE +/- 1514.83, N = 3 SE +/- 902.43, N = 3 1289797.0 1145963.1 1129441.6 1073228.3 1183988.8 1307825.7 1175677.7 1259260.4 1410677.5 1279481.9 1291467.3 1280484.3 1059281.8 1210116.8 1270159.2 1190017.2 1278094.7 1274188.2 1296390.3 1401814.5
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 200K 400K 600K 800K 1000K Min: 1286617.4 / Avg: 1289796.97 / Max: 1292830.7 Min: 1142348.1 / Avg: 1145963.13 / Max: 1151650.6 Min: 1127792.3 / Avg: 1129441.57 / Max: 1130601.1 Min: 1072178.8 / Avg: 1073228.3 / Max: 1075044.3 Min: 1182962.1 / Avg: 1183988.77 / Max: 1184733.3 Min: 1306196.3 / Avg: 1307825.67 / Max: 1310691.4 Min: 1173832.4 / Avg: 1175677.7 / Max: 1177436.4 Min: 1256647.8 / Avg: 1259260.37 / Max: 1261253.5 Min: 1407157.4 / Avg: 1410677.47 / Max: 1413962.4 Min: 1277352.9 / Avg: 1279481.93 / Max: 1281893.8 Min: 1285072.9 / Avg: 1291467.3 / Max: 1294855.3 Min: 1277193.7 / Avg: 1280484.33 / Max: 1283439.2 Min: 1057657.4 / Avg: 1059281.83 / Max: 1060202.8 Min: 1207654.4 / Avg: 1210116.8 / Max: 1212108.5 Min: 1268537.9 / Avg: 1270159.17 / Max: 1272330.4 Min: 1186907.2 / Avg: 1190017.17 / Max: 1192935.2 Min: 1276351.8 / Avg: 1278094.67 / Max: 1279920.9 Min: 1271782.9 / Avg: 1274188.2 / Max: 1276667.4 Min: 1294128.4 / Avg: 1296390.27 / Max: 1299266.8 Min: 1400169.2 / Avg: 1401814.5 / Max: 1403279.7
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 2 4 6 8 10 SE +/- 0.001157, N = 3 SE +/- 0.004122, N = 3 SE +/- 0.020038, N = 3 SE +/- 0.038424, N = 3 SE +/- 0.014814, N = 3 SE +/- 0.004603, N = 3 SE +/- 0.005105, N = 3 SE +/- 0.005066, N = 3 SE +/- 0.004480, N = 3 SE +/- 0.009361, N = 3 SE +/- 0.013545, N = 3 SE +/- 0.000987, N = 3 SE +/- 0.008403, N = 3 SE +/- 0.004193, N = 3 SE +/- 0.011697, N = 3 SE +/- 0.021564, N = 3 SE +/- 0.019618, N = 3 SE +/- 0.002452, N = 3 SE +/- 0.002525, N = 3 SE +/- 0.009253, N = 3 5.312421 5.673728 5.265369 5.723526 5.588216 5.222480 5.655470 5.406158 4.590949 5.308740 4.638079 5.382421 6.090507 5.390151 5.318605 5.411095 5.349437 5.407218 5.303184 4.956801 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 2 4 6 8 10 Min: 5.31 / Avg: 5.31 / Max: 5.31 Min: 5.67 / Avg: 5.67 / Max: 5.68 Min: 5.23 / Avg: 5.27 / Max: 5.29 Min: 5.66 / Avg: 5.72 / Max: 5.79 Min: 5.56 / Avg: 5.59 / Max: 5.62 Min: 5.22 / Avg: 5.22 / Max: 5.23 Min: 5.65 / Avg: 5.66 / Max: 5.66 Min: 5.4 / Avg: 5.41 / Max: 5.42 Min: 4.58 / Avg: 4.59 / Max: 4.6 Min: 5.3 / Avg: 5.31 / Max: 5.33 Min: 4.61 / Avg: 4.64 / Max: 4.66 Min: 5.38 / Avg: 5.38 / Max: 5.38 Min: 6.08 / Avg: 6.09 / Max: 6.11 Min: 5.38 / Avg: 5.39 / Max: 5.39 Min: 5.3 / Avg: 5.32 / Max: 5.34 Min: 5.39 / Avg: 5.41 / Max: 5.45 Min: 5.33 / Avg: 5.35 / Max: 5.39 Min: 5.4 / Avg: 5.41 / Max: 5.41 Min: 5.3 / Avg: 5.3 / Max: 5.31 Min: 4.94 / Avg: 4.96 / Max: 4.97 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 5 10 15 20 25 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, 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 15.73 17.24 18.93 20.01 16.67 15.56 16.88 16.38 15.40 15.89 16.89 15.77 20.30 16.93 16.10 15.89 16.52 16.05 15.72 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 5 10 15 20 25 Min: 15.7 / Avg: 15.73 / Max: 15.76 Min: 17.2 / Avg: 17.24 / Max: 17.28 Min: 18.9 / Avg: 18.93 / Max: 18.96 Min: 19.99 / Avg: 20.01 / Max: 20.03 Min: 16.65 / Avg: 16.66 / Max: 16.68 Min: 15.54 / Avg: 15.56 / Max: 15.57 Min: 16.78 / Avg: 16.88 / Max: 16.95 Min: 16.33 / Avg: 16.38 / Max: 16.46 Min: 15.39 / Avg: 15.4 / Max: 15.42 Min: 15.85 / Avg: 15.89 / Max: 15.96 Min: 16.87 / Avg: 16.89 / Max: 16.95 Min: 15.75 / Avg: 15.77 / Max: 15.78 Min: 20.28 / Avg: 20.3 / Max: 20.33 Min: 16.87 / Avg: 16.93 / Max: 17 Min: 16.05 / Avg: 16.1 / Max: 16.12 Min: 15.87 / Avg: 15.89 / Max: 15.91 Min: 16.49 / Avg: 16.52 / Max: 16.55 Min: 16.04 / Avg: 16.05 / Max: 16.06 Min: 15.7 / Avg: 15.72 / Max: 15.74 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 3 6 9 12 15 SE +/- 0.009, N = 3 SE +/- 0.034, N = 3 SE +/- 0.006, N = 3 SE +/- 0.034, N = 3 SE +/- 0.021, N = 3 SE +/- 0.019, N = 3 SE +/- 0.020, N = 3 SE +/- 0.008, N = 3 SE +/- 0.013, N = 3 SE +/- 0.029, N = 3 SE +/- 0.017, N = 3 SE +/- 0.023, N = 3 SE +/- 0.043, N = 3 SE +/- 0.007, N = 3 SE +/- 0.023, N = 3 SE +/- 0.012, N = 3 SE +/- 0.023, N = 3 SE +/- 0.031, N = 3 SE +/- 0.010, N = 3 SE +/- 0.017, N = 3 8.174 9.236 9.270 9.854 8.934 8.053 8.815 8.343 7.452 8.251 8.156 8.286 9.746 8.894 8.282 8.232 8.151 8.206 8.195 7.639 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 3 6 9 12 15 Min: 8.16 / Avg: 8.17 / Max: 8.19 Min: 9.19 / Avg: 9.24 / Max: 9.3 Min: 9.26 / Avg: 9.27 / Max: 9.28 Min: 9.79 / Avg: 9.85 / Max: 9.89 Min: 8.9 / Avg: 8.93 / Max: 8.98 Min: 8.03 / Avg: 8.05 / Max: 8.09 Min: 8.78 / Avg: 8.81 / Max: 8.84 Min: 8.33 / Avg: 8.34 / Max: 8.36 Min: 7.44 / Avg: 7.45 / Max: 7.48 Min: 8.22 / Avg: 8.25 / Max: 8.31 Min: 8.12 / Avg: 8.16 / Max: 8.18 Min: 8.24 / Avg: 8.29 / Max: 8.31 Min: 9.7 / Avg: 9.75 / Max: 9.83 Min: 8.89 / Avg: 8.89 / Max: 8.91 Min: 8.26 / Avg: 8.28 / Max: 8.33 Min: 8.21 / Avg: 8.23 / Max: 8.25 Min: 8.11 / Avg: 8.15 / Max: 8.18 Min: 8.15 / Avg: 8.21 / Max: 8.26 Min: 8.18 / Avg: 8.2 / Max: 8.21 Min: 7.61 / Avg: 7.64 / Max: 7.66 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 8 16 24 32 40 SE +/- 0.22, N = 3 SE +/- 0.26, N = 3 SE +/- 0.11, N = 3 SE +/- 0.28, N = 3 SE +/- 0.04, N = 3 SE +/- 0.32, N = 3 SE +/- 0.06, N = 3 SE +/- 0.22, N = 3 SE +/- 0.08, N = 3 SE +/- 0.16, N = 3 SE +/- 0.24, N = 3 SE +/- 0.23, N = 3 SE +/- 0.35, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.09, N = 3 SE +/- 0.17, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 32.56 29.00 30.29 27.69 31.16 32.68 30.09 31.34 36.57 32.12 32.86 31.63 29.20 32.18 32.31 31.25 32.87 32.70 32.80 35.17 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 8 16 24 32 40 Min: 32.13 / Avg: 32.56 / Max: 32.84 Min: 28.53 / Avg: 29 / Max: 29.41 Min: 30.11 / Avg: 30.29 / Max: 30.49 Min: 27.15 / Avg: 27.69 / Max: 28.04 Min: 31.08 / Avg: 31.16 / Max: 31.2 Min: 32.06 / Avg: 32.68 / Max: 33.09 Min: 29.97 / Avg: 30.09 / Max: 30.17 Min: 30.9 / Avg: 31.34 / Max: 31.56 Min: 36.4 / Avg: 36.57 / Max: 36.67 Min: 31.84 / Avg: 32.12 / Max: 32.39 Min: 32.38 / Avg: 32.86 / Max: 33.16 Min: 31.19 / Avg: 31.63 / Max: 31.98 Min: 28.59 / Avg: 29.2 / Max: 29.79 Min: 32.16 / Avg: 32.18 / Max: 32.19 Min: 32.25 / Avg: 32.31 / Max: 32.38 Min: 31.21 / Avg: 31.25 / Max: 31.31 Min: 32.7 / Avg: 32.87 / Max: 32.97 Min: 32.38 / Avg: 32.7 / Max: 32.95 Min: 32.75 / Avg: 32.8 / Max: 32.88 Min: 35.13 / Avg: 35.17 / Max: 35.25 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 1000 2000 3000 4000 5000 SE +/- 18.16, N = 3 SE +/- 61.81, N = 3 SE +/- 27.91, N = 3 SE +/- 41.94, N = 3 SE +/- 17.16, N = 3 SE +/- 62.71, N = 3 SE +/- 41.76, N = 5 SE +/- 37.40, N = 3 SE +/- 47.65, N = 3 SE +/- 63.25, N = 3 SE +/- 46.79, N = 5 SE +/- 46.38, N = 15 SE +/- 59.72, N = 3 SE +/- 28.74, N = 3 SE +/- 26.53, N = 3 SE +/- 62.88, N = 13 SE +/- 56.97, N = 15 SE +/- 39.43, N = 3 SE +/- 22.02, N = 3 SE +/- 42.67, N = 15 3937.80 3588.51 3611.31 3667.41 3726.02 3917.15 3386.62 3451.28 4470.49 3881.51 3976.82 3760.37 3688.59 3927.11 3868.68 3740.51 3700.30 3882.01 3971.30 4212.78 1. (CC) gcc options: -O3 -mavx2
Result Confidence
OpenBenchmarking.org MFLOPS, More Is Better Himeno Benchmark 3.0 Poisson Pressure Solver EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 800 1600 2400 3200 4000 Min: 3901.88 / Avg: 3937.8 / Max: 3960.41 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: 3693 / Avg: 3726.02 / Max: 3750.66 Min: 3799.52 / Avg: 3917.15 / Max: 4013.65 Min: 3300.1 / Avg: 3386.62 / Max: 3537.19 Min: 3381.62 / Avg: 3451.28 / Max: 3509.7 Min: 4412.42 / Avg: 4470.49 / Max: 4564.96 Min: 3763.86 / Avg: 3881.51 / Max: 3980.62 Min: 3868.41 / Avg: 3976.82 / Max: 4100.49 Min: 3248.17 / Avg: 3760.37 / Max: 3959.03 Min: 3570.78 / Avg: 3688.59 / Max: 3764.52 Min: 3869.82 / Avg: 3927.11 / Max: 3959.84 Min: 3834.8 / Avg: 3868.68 / Max: 3920.99 Min: 3086.64 / Avg: 3740.51 / Max: 3933.23 Min: 3308.25 / Avg: 3700.3 / Max: 4010.2 Min: 3818.26 / Avg: 3882.01 / Max: 3954.08 Min: 3927.26 / Avg: 3971.3 / Max: 3993.41 Min: 3740.22 / Avg: 4212.78 / Max: 4364.86 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 200 400 600 800 1000 686.79 689.57 816.12 807.88 713.90 667.86 699.94 737.06 699.50 694.08 762.90 725.77 796.72 679.00 672.93 734.24 770.65 755.11 682.90 619.74
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 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 = 4 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 0.037 0.036 0.046 0.044 0.036 0.036 0.039 0.042 0.040 0.036 0.039 0.038 0.044 0.043 0.037 0.038 0.035 0.036 0.037 0.040 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 1 2 3 4 5 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.05 / 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 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 80 160 240 320 400 SE +/- 0.33, N = 3 SE +/- 1.01, N = 3 SE +/- 1.31, N = 3 SE +/- 0.82, N = 3 SE +/- 0.74, N = 3 SE +/- 0.39, N = 3 SE +/- 2.06, N = 3 SE +/- 0.14, N = 3 SE +/- 0.77, N = 3 SE +/- 1.03, N = 3 SE +/- 0.05, N = 3 SE +/- 1.79, N = 3 SE +/- 0.74, N = 3 SE +/- 0.41, N = 3 SE +/- 0.56, N = 3 SE +/- 1.34, N = 3 SE +/- 1.24, N = 3 SE +/- 4.04, N = 3 SE +/- 1.84, N = 3 SE +/- 0.27, N = 3 329.73 335.26 318.66 336.71 332.32 322.45 355.28 341.63 280.01 329.83 273.03 332.40 332.86 331.74 325.88 339.74 340.47 340.47 324.95 297.78 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 60 120 180 240 300 Min: 329.06 / Avg: 329.73 / Max: 330.13 Min: 333.82 / Avg: 335.26 / Max: 337.2 Min: 317.11 / Avg: 318.66 / Max: 321.26 Min: 335.1 / Avg: 336.71 / Max: 337.79 Min: 330.91 / Avg: 332.32 / Max: 333.45 Min: 322.03 / Avg: 322.45 / Max: 323.23 Min: 351.77 / Avg: 355.28 / Max: 358.9 Min: 341.48 / Avg: 341.63 / Max: 341.9 Min: 278.81 / Avg: 280.01 / Max: 281.44 Min: 328.48 / Avg: 329.83 / Max: 331.86 Min: 272.98 / Avg: 273.03 / Max: 273.13 Min: 329.08 / Avg: 332.4 / Max: 335.2 Min: 331.66 / Avg: 332.86 / Max: 334.2 Min: 331.09 / Avg: 331.74 / Max: 332.5 Min: 324.89 / Avg: 325.88 / Max: 326.82 Min: 338.1 / Avg: 339.74 / Max: 342.39 Min: 338.86 / Avg: 340.47 / Max: 342.91 Min: 335.17 / Avg: 340.47 / Max: 348.41 Min: 321.27 / Avg: 324.95 / Max: 326.89 Min: 297.27 / Avg: 297.78 / Max: 298.2 1. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
DaCapo Benchmark This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 9.12-MR1 Java Test: Jython EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 1200 2400 3600 4800 6000 SE +/- 18.30, N = 4 SE +/- 19.97, N = 4 SE +/- 26.34, N = 4 SE +/- 69.56, N = 5 SE +/- 13.83, N = 4 SE +/- 6.71, N = 4 SE +/- 13.86, N = 4 SE +/- 16.79, N = 4 SE +/- 18.72, N = 4 SE +/- 10.06, N = 4 SE +/- 30.31, N = 4 SE +/- 2.06, N = 4 SE +/- 15.06, N = 4 SE +/- 20.47, N = 4 SE +/- 8.63, N = 4 SE +/- 26.63, N = 4 SE +/- 5.61, N = 4 SE +/- 8.68, N = 4 SE +/- 23.46, N = 4 SE +/- 19.39, N = 4 5150 5563 5183 5795 5358 5077 5530 5271 4462 5168 4653 5207 5554 5268 5160 5239 5188 5243 5134 4671
Result Confidence
OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 9.12-MR1 Java Test: Jython EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 1000 2000 3000 4000 5000 Min: 5106 / Avg: 5149.75 / Max: 5190 Min: 5507 / Avg: 5563.25 / Max: 5595 Min: 5121 / Avg: 5182.5 / Max: 5243 Min: 5582 / Avg: 5794.8 / Max: 5963 Min: 5328 / Avg: 5358 / Max: 5382 Min: 5063 / Avg: 5076.75 / Max: 5093 Min: 5509 / Avg: 5530 / Max: 5570 Min: 5250 / Avg: 5271.25 / Max: 5321 Min: 4430 / Avg: 4461.75 / Max: 4507 Min: 5149 / Avg: 5167.75 / Max: 5191 Min: 4584 / Avg: 4653.25 / Max: 4730 Min: 5202 / Avg: 5207.25 / Max: 5211 Min: 5524 / Avg: 5554.25 / Max: 5594 Min: 5226 / Avg: 5268 / Max: 5324 Min: 5139 / Avg: 5159.75 / Max: 5178 Min: 5192 / Avg: 5238.75 / Max: 5315 Min: 5179 / Avg: 5187.5 / Max: 5204 Min: 5228 / Avg: 5243.25 / Max: 5267 Min: 5065 / Avg: 5133.5 / Max: 5168 Min: 4627 / Avg: 4671 / Max: 4711
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 5K 10K 15K 20K 25K SE +/- 259.85, N = 3 SE +/- 373.32, N = 3 SE +/- 66.93, N = 3 SE +/- 75.31, N = 3 SE +/- 103.25, N = 3 SE +/- 298.28, N = 3 SE +/- 348.84, N = 3 SE +/- 96.86, N = 3 SE +/- 183.28, N = 3 SE +/- 215.55, N = 3 SE +/- 113.70, N = 3 SE +/- 221.45, N = 10 SE +/- 137.01, N = 3 SE +/- 92.58, N = 3 SE +/- 141.59, N = 3 SE +/- 180.38, N = 3 SE +/- 195.08, N = 15 SE +/- 311.13, N = 4 SE +/- 235.87, N = 3 SE +/- 270.77, N = 3 23270 22863 18535 18878 23230 23973 21306 20280 21127 22692 21290 23450 19607 20705 22743 22639 23480 23097 23150 21045 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 4K 8K 12K 16K 20K Min: 22857.29 / Avg: 23269.7 / Max: 23749.77 Min: 22130.03 / Avg: 22863.19 / Max: 23352.09 Min: 18451.75 / Avg: 18535.19 / Max: 18667.56 Min: 18730.54 / Avg: 18878.12 / Max: 18977.97 Min: 23038.03 / Avg: 23230.17 / Max: 23391.76 Min: 23414.19 / Avg: 23973.07 / Max: 24433.21 Min: 20657.44 / Avg: 21306.03 / Max: 21852.97 Min: 20177.79 / Avg: 20280.37 / Max: 20473.98 Min: 20930.71 / Avg: 21126.73 / Max: 21493 Min: 22374.23 / Avg: 22691.94 / Max: 23103.15 Min: 21063.19 / Avg: 21289.58 / Max: 21421.19 Min: 22549.87 / Avg: 23450.11 / Max: 24645.45 Min: 19334.71 / Avg: 19607.37 / Max: 19767.3 Min: 20538.04 / Avg: 20704.74 / Max: 20857.89 Min: 22481.63 / Avg: 22742.66 / Max: 22968.25 Min: 22278.71 / Avg: 22639.45 / Max: 22823.9 Min: 22482.8 / Avg: 23479.62 / Max: 24923.3 Min: 22465.14 / Avg: 23097.1 / Max: 23890.97 Min: 22682.59 / Avg: 23150.17 / Max: 23438.09 Min: 20547.72 / Avg: 21044.59 / Max: 21479.57 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 6K 12K 18K 24K 30K SE +/- 152.92, N = 3 SE +/- 213.38, N = 3 SE +/- 33.02, N = 3 SE +/- 169.29, N = 3 SE +/- 38.55, N = 3 SE +/- 350.21, N = 4 SE +/- 230.00, N = 3 SE +/- 151.40, N = 3 SE +/- 285.78, N = 3 SE +/- 244.15, N = 3 SE +/- 131.48, N = 3 SE +/- 286.26, N = 3 SE +/- 121.60, N = 3 SE +/- 98.18, N = 3 SE +/- 314.26, N = 3 SE +/- 239.87, N = 3 SE +/- 331.01, N = 3 SE +/- 291.09, N = 3 SE +/- 237.04, N = 3 SE +/- 83.49, N = 3 27460 27558 21829 22534 28158 27450 25430 24032 25249 28092 25644 26679 22727 23451 27089 26337 28221 27597 27309 25032 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 5K 10K 15K 20K 25K Min: 27243.42 / Avg: 27460.47 / Max: 27755.6 Min: 27157.63 / Avg: 27558.06 / Max: 27886.05 Min: 21781.12 / Avg: 21828.7 / Max: 21892.14 Min: 22204.48 / Avg: 22534.1 / Max: 22765.92 Min: 28092.62 / Avg: 28158.38 / Max: 28226.11 Min: 26711.61 / Avg: 27449.98 / Max: 28327.42 Min: 25055.95 / Avg: 25429.68 / Max: 25848.82 Min: 23806.11 / Avg: 24031.52 / Max: 24319.31 Min: 24734.57 / Avg: 25249.37 / Max: 25721.82 Min: 27663.45 / Avg: 28092.27 / Max: 28508.95 Min: 25466.37 / Avg: 25644.39 / Max: 25901 Min: 26360.32 / Avg: 26678.72 / Max: 27249.99 Min: 22577.93 / Avg: 22726.96 / Max: 22967.91 Min: 23322.1 / Avg: 23450.61 / Max: 23643.44 Min: 26753.58 / Avg: 27089.36 / Max: 27717.37 Min: 25860.1 / Avg: 26337.19 / Max: 26619.37 Min: 27573.78 / Avg: 28221.33 / Max: 28664.34 Min: 27036.41 / Avg: 27596.92 / Max: 28013.43 Min: 26918.38 / Avg: 27308.99 / Max: 27736.97 Min: 24930.7 / Avg: 25031.81 / Max: 25197.44 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 3 6 9 12 15 SE +/- 0.038, N = 3 SE +/- 0.067, N = 3 SE +/- 0.001, N = 3 SE +/- 0.087, N = 3 SE +/- 0.057, N = 3 SE +/- 0.041, N = 3 SE +/- 0.065, N = 3 SE +/- 0.051, N = 3 SE +/- 0.095, N = 3 SE +/- 0.044, N = 3 SE +/- 0.036, N = 3 SE +/- 0.110, N = 3 SE +/- 0.113, N = 3 SE +/- 0.045, N = 3 SE +/- 0.039, N = 3 SE +/- 0.041, N = 3 SE +/- 0.051, N = 3 SE +/- 0.138, N = 3 SE +/- 0.036, N = 3 SE +/- 0.011, N = 3 10.085 10.689 10.039 10.814 10.375 10.036 10.801 10.263 8.801 10.288 8.928 10.335 11.376 10.197 10.064 10.267 10.230 10.326 10.157 9.331 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 3 6 9 12 15 Min: 10.02 / Avg: 10.09 / Max: 10.15 Min: 10.56 / Avg: 10.69 / Max: 10.78 Min: 10.04 / Avg: 10.04 / Max: 10.04 Min: 10.67 / Avg: 10.81 / Max: 10.97 Min: 10.3 / Avg: 10.37 / Max: 10.49 Min: 9.96 / Avg: 10.04 / Max: 10.09 Min: 10.73 / Avg: 10.8 / Max: 10.93 Min: 10.21 / Avg: 10.26 / Max: 10.37 Min: 8.61 / Avg: 8.8 / Max: 8.91 Min: 10.23 / Avg: 10.29 / Max: 10.37 Min: 8.86 / Avg: 8.93 / Max: 8.98 Min: 10.2 / Avg: 10.33 / Max: 10.55 Min: 11.16 / Avg: 11.38 / Max: 11.53 Min: 10.11 / Avg: 10.2 / Max: 10.27 Min: 9.99 / Avg: 10.06 / Max: 10.12 Min: 10.2 / Avg: 10.27 / Max: 10.34 Min: 10.16 / Avg: 10.23 / Max: 10.33 Min: 10.17 / Avg: 10.33 / Max: 10.6 Min: 10.09 / Avg: 10.16 / Max: 10.22 Min: 9.32 / Avg: 9.33 / Max: 9.35 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 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 +/- 0.00, 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 +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 2.07 1.95 1.98 1.88 2.01 2.11 1.95 2.03 2.43 2.07 2.29 2.03 1.90 2.06 2.08 2.03 2.04 2.02 2.08 2.30 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 2 4 6 8 10 Min: 2.06 / Avg: 2.07 / Max: 2.07 Min: 1.95 / Avg: 1.95 / Max: 1.95 Min: 1.97 / Avg: 1.98 / Max: 1.98 Min: 1.88 / Avg: 1.88 / Max: 1.89 Min: 2.01 / Avg: 2.01 / Max: 2.02 Min: 2.1 / Avg: 2.11 / Max: 2.12 Min: 1.94 / Avg: 1.95 / Max: 1.97 Min: 2.03 / Avg: 2.03 / Max: 2.04 Min: 2.42 / Avg: 2.43 / Max: 2.44 Min: 2.06 / Avg: 2.07 / Max: 2.07 Min: 2.28 / Avg: 2.29 / Max: 2.31 Min: 2.03 / Avg: 2.03 / Max: 2.04 Min: 1.89 / Avg: 1.9 / Max: 1.9 Min: 2.05 / Avg: 2.06 / Max: 2.07 Min: 2.08 / Avg: 2.08 / Max: 2.09 Min: 2.03 / Avg: 2.03 / Max: 2.03 Min: 2.03 / Avg: 2.04 / Max: 2.05 Min: 2.02 / Avg: 2.02 / Max: 2.03 Min: 2.07 / Avg: 2.08 / Max: 2.09 Min: 2.3 / Avg: 2.3 / Max: 2.3 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 70 140 210 280 350 SE +/- 0.70, N = 3 SE +/- 1.55, N = 3 SE +/- 0.94, N = 3 SE +/- 1.06, N = 3 SE +/- 0.49, N = 3 SE +/- 0.74, N = 3 SE +/- 0.78, N = 3 SE +/- 1.18, N = 3 SE +/- 0.25, N = 3 SE +/- 0.39, N = 3 SE +/- 0.52, N = 3 SE +/- 1.91, N = 3 SE +/- 0.59, N = 3 SE +/- 0.21, N = 3 SE +/- 0.37, N = 3 SE +/- 1.72, N = 3 SE +/- 0.71, N = 3 SE +/- 0.31, N = 3 SE +/- 1.20, N = 3 SE +/- 0.60, N = 3 302.31 286.69 301.92 285.87 290.46 304.52 285.63 294.22 338.78 301.55 334.49 295.56 262.38 296.95 299.52 292.04 299.00 293.14 300.32 318.42
Result Confidence
OpenBenchmarking.org Score, More Is Better Numpy Benchmark EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 60 120 180 240 300 Min: 301.26 / Avg: 302.31 / Max: 303.63 Min: 283.82 / Avg: 286.69 / Max: 289.14 Min: 300.3 / Avg: 301.92 / Max: 303.55 Min: 284.04 / Avg: 285.87 / Max: 287.7 Min: 289.5 / Avg: 290.46 / Max: 291.13 Min: 303.14 / Avg: 304.52 / Max: 305.68 Min: 284.14 / Avg: 285.63 / Max: 286.75 Min: 292.64 / Avg: 294.22 / Max: 296.53 Min: 338.28 / Avg: 338.78 / Max: 339.09 Min: 300.83 / Avg: 301.55 / Max: 302.18 Min: 333.83 / Avg: 334.49 / Max: 335.52 Min: 293.07 / Avg: 295.56 / Max: 299.32 Min: 261.34 / Avg: 262.38 / Max: 263.38 Min: 296.74 / Avg: 296.95 / Max: 297.36 Min: 298.99 / Avg: 299.52 / Max: 300.22 Min: 288.63 / Avg: 292.04 / Max: 294.16 Min: 297.69 / Avg: 299 / Max: 300.14 Min: 292.52 / Avg: 293.14 / Max: 293.46 Min: 298.01 / Avg: 300.32 / Max: 302.05 Min: 317.22 / Avg: 318.42 / Max: 319.05
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 30 60 90 120 150 SE +/- 0.10, N = 3 SE +/- 1.22, N = 7 SE +/- 1.16, N = 6 SE +/- 1.52, N = 3 SE +/- 0.79, N = 3 SE +/- 0.61, N = 3 SE +/- 0.67, N = 3 SE +/- 0.48, N = 3 SE +/- 0.28, N = 3 SE +/- 0.70, N = 3 SE +/- 1.34, N = 3 SE +/- 0.68, N = 3 SE +/- 0.67, N = 3 SE +/- 0.03, N = 3 SE +/- 0.64, N = 3 SE +/- 0.27, N = 3 SE +/- 0.78, N = 3 SE +/- 0.70, N = 3 SE +/- 0.61, N = 3 SE +/- 0.02, N = 3 104.76 112.75 105.10 117.16 109.74 104.22 112.87 107.17 90.77 106.27 95.40 107.44 109.88 106.23 105.42 108.65 111.03 107.25 105.44 97.84 1. (CXX) g++ options: -O2 -lOpenCL
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP HotSpot3D EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 20 40 60 80 100 Min: 104.62 / Avg: 104.76 / Max: 104.95 Min: 109.7 / Avg: 112.75 / Max: 117.75 Min: 103.25 / Avg: 105.1 / Max: 110.63 Min: 114.36 / Avg: 117.16 / Max: 119.57 Min: 108.16 / Avg: 109.74 / Max: 110.58 Min: 103.43 / Avg: 104.22 / Max: 105.42 Min: 112.12 / Avg: 112.87 / Max: 114.21 Min: 106.36 / Avg: 107.17 / Max: 108.03 Min: 90.42 / Avg: 90.77 / Max: 91.33 Min: 104.87 / Avg: 106.27 / Max: 106.98 Min: 92.75 / Avg: 95.4 / Max: 97.06 Min: 106.6 / Avg: 107.44 / Max: 108.79 Min: 108.53 / Avg: 109.88 / Max: 110.59 Min: 106.17 / Avg: 106.23 / Max: 106.28 Min: 104.56 / Avg: 105.42 / Max: 106.68 Min: 108.37 / Avg: 108.65 / Max: 109.18 Min: 109.9 / Avg: 111.03 / Max: 112.54 Min: 106.3 / Avg: 107.25 / Max: 108.62 Min: 104.66 / Avg: 105.44 / Max: 106.63 Min: 97.81 / Avg: 97.84 / Max: 97.86 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 0.0369 0.0738 0.1107 0.1476 0.1845 SE +/- 0.00097007, N = 3 SE +/- 0.00145393, N = 3 SE +/- 0.00046540, N = 3 SE +/- 0.00118082, N = 3 SE +/- 0.00034313, N = 3 SE +/- 0.00213584, N = 4 SE +/- 0.00270938, N = 3 SE +/- 0.00052958, N = 3 SE +/- 0.00030324, N = 3 SE +/- 0.00121635, N = 3 SE +/- 0.00090133, N = 3 SE +/- 0.00111418, N = 3 SE +/- 0.00032749, N = 3 SE +/- 0.00074092, N = 3 SE +/- 0.00092600, N = 3 SE +/- 0.00073159, N = 3 SE +/- 0.00157735, N = 3 SE +/- 0.00121073, N = 3 SE +/- 0.00218365, N = 4 SE +/- 0.00157658, N = 3 0.14899437 0.15500763 0.14928622 0.15815164 0.15535128 0.14391032 0.16397222 0.15176894 0.12735546 0.14815314 0.13005008 0.15077001 0.15760242 0.15036750 0.14753880 0.15034787 0.14786624 0.15099278 0.15202995 0.13268829
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Perl Benchmarks Test: Pod2html EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 1 2 3 4 5 Min: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.15 / Avg: 0.16 / Max: 0.16 Min: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.16 / Avg: 0.16 / Max: 0.16 Min: 0.15 / Avg: 0.16 / Max: 0.16 Min: 0.14 / Avg: 0.14 / Max: 0.15 Min: 0.16 / Avg: 0.16 / Max: 0.17 Min: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.13 / Avg: 0.13 / Max: 0.13 Min: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.13 / Avg: 0.13 / Max: 0.13 Min: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.16 / Avg: 0.16 / 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: 0.14 / Avg: 0.15 / Max: 0.15 Min: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.15 / Avg: 0.15 / Max: 0.16 Min: 0.13 / Avg: 0.13 / Max: 0.14
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 300K 600K 900K 1200K 1500K SE +/- 2477.29, N = 3 SE +/- 974.55, N = 3 SE +/- 352.16, N = 3 SE +/- 2137.19, N = 3 SE +/- 375.00, N = 3 SE +/- 1012.15, N = 3 SE +/- 837.79, N = 3 SE +/- 3188.58, N = 3 SE +/- 2446.24, N = 3 SE +/- 3144.17, N = 3 SE +/- 476.77, N = 3 SE +/- 3450.73, N = 3 SE +/- 537.25, N = 3 SE +/- 713.77, N = 3 SE +/- 825.62, N = 3 SE +/- 2773.38, N = 3 SE +/- 4294.50, N = 3 SE +/- 4135.18, N = 3 SE +/- 1691.70, N = 3 SE +/- 1619.42, N = 3 1121722.0 1049655.9 957872.5 970567.6 1082109.0 1146289.6 1058363.8 1085461.2 1179108.0 1128044.2 1089138.1 1104030.2 948381.6 1068224.4 1116967.3 1072387.8 1094235.6 1083763.6 1149222.6 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 200K 400K 600K 800K 1000K Min: 1116887.2 / Avg: 1121722 / Max: 1125077.2 Min: 1048319.8 / Avg: 1049655.87 / Max: 1051552.9 Min: 957434.8 / Avg: 957872.47 / Max: 958569.2 Min: 966382.4 / Avg: 970567.57 / Max: 973412.5 Min: 1081359.5 / Avg: 1082109.03 / Max: 1082506.8 Min: 1144800.5 / Avg: 1146289.6 / Max: 1148221.7 Min: 1057216.2 / Avg: 1058363.77 / Max: 1059994.9 Min: 1081877.1 / Avg: 1085461.23 / Max: 1091821.3 Min: 1174401.6 / Avg: 1179108 / Max: 1182618.6 Min: 1121805.2 / Avg: 1128044.17 / Max: 1131844.7 Min: 1088610.7 / Avg: 1089138.13 / Max: 1090089.8 Min: 1097478.3 / Avg: 1104030.2 / Max: 1109184.2 Min: 947355.2 / Avg: 948381.6 / Max: 949170.1 Min: 1066800.6 / Avg: 1068224.43 / Max: 1069025.5 Min: 1115818.7 / Avg: 1116967.33 / Max: 1118569 Min: 1068479.3 / Avg: 1072387.77 / Max: 1077750.5 Min: 1089020.9 / Avg: 1094235.6 / Max: 1102753.4 Min: 1075660.9 / Avg: 1083763.63 / Max: 1089249.7 Min: 1146924 / Avg: 1149222.63 / Max: 1152522 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 0.0122 0.0244 0.0366 0.0488 0.061 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 +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 10 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 15 SE +/- 0.001, N = 4 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 0.043 0.044 0.054 0.053 0.043 0.042 0.047 0.050 0.048 0.044 0.047 0.043 0.051 0.048 0.044 0.044 0.043 0.044 0.043 0.048 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 1 2 3 4 5 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.05 Min: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.05 / 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: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.05 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.05 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.05 / Avg: 0.05 / Max: 0.05 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7502P EPYC 7F72 2 4 6 8 10 SE +/- 0.012, N = 3 SE +/- 0.015, N = 3 SE +/- 0.006, N = 3 SE +/- 0.021, N = 3 SE +/- 0.008, N = 3 SE +/- 0.017, N = 3 SE +/- 0.010, N = 3 SE +/- 0.029, N = 3 SE +/- 0.008, N = 3 SE +/- 0.024, N = 3 SE +/- 0.036, N = 3 SE +/- 0.022, N = 3 SE +/- 0.016, N = 3 SE +/- 0.023, N = 3 SE +/- 0.003, N = 3 SE +/- 0.012, N = 3 5.922 6.121 6.248 6.590 6.039 5.873 6.298 6.077 5.145 5.974 5.512 6.584 5.894 5.970 5.915 5.694 1. (CXX) g++ options: -O3 -fPIC
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.7.3 Encoder Speed: 8 EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7502P EPYC 7F72 3 6 9 12 15 Min: 5.9 / Avg: 5.92 / Max: 5.94 Min: 6.09 / Avg: 6.12 / Max: 6.15 Min: 6.24 / Avg: 6.25 / Max: 6.26 Min: 6.56 / Avg: 6.59 / Max: 6.63 Min: 6.03 / Avg: 6.04 / Max: 6.06 Min: 5.84 / Avg: 5.87 / Max: 5.9 Min: 6.28 / Avg: 6.3 / Max: 6.32 Min: 6.03 / Avg: 6.08 / Max: 6.13 Min: 5.14 / Avg: 5.15 / Max: 5.16 Min: 5.94 / Avg: 5.97 / Max: 6.02 Min: 5.45 / Avg: 5.51 / Max: 5.57 Min: 6.56 / Avg: 6.58 / Max: 6.63 Min: 5.86 / Avg: 5.89 / Max: 5.91 Min: 5.95 / Avg: 5.97 / Max: 6.02 Min: 5.91 / Avg: 5.91 / Max: 5.92 Min: 5.68 / Avg: 5.69 / Max: 5.72 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 140 280 420 560 700 SE +/- 1.28, N = 3 SE +/- 2.58, N = 3 SE +/- 0.90, N = 3 SE +/- 0.82, N = 3 SE +/- 4.78, N = 3 SE +/- 1.77, N = 3 SE +/- 1.70, N = 3 SE +/- 6.57, N = 5 SE +/- 3.29, N = 3 SE +/- 2.27, N = 3 SE +/- 3.78, N = 3 SE +/- 1.97, N = 3 SE +/- 3.15, N = 3 SE +/- 2.24, N = 3 SE +/- 0.69, N = 3 SE +/- 0.97, N = 3 SE +/- 2.23, N = 3 SE +/- 1.27, N = 3 SE +/- 1.68, N = 3 SE +/- 2.20, N = 3 551.71 518.46 561.08 524.17 522.70 555.91 522.61 498.78 638.63 553.03 627.38 548.14 514.90 546.00 552.58 544.37 553.10 547.26 554.85 610.59 1. (CC) gcc options: -lm
Result Confidence
OpenBenchmarking.org Mflops, More Is Better SciMark 2.0 Computational Test: Composite EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 110 220 330 440 550 Min: 549.24 / Avg: 551.71 / Max: 553.49 Min: 514.52 / Avg: 518.46 / Max: 523.31 Min: 559.5 / Avg: 561.08 / Max: 562.6 Min: 522.79 / Avg: 524.17 / Max: 525.64 Min: 515.19 / Avg: 522.7 / Max: 531.59 Min: 553.76 / Avg: 555.91 / Max: 559.42 Min: 519.72 / Avg: 522.61 / Max: 525.6 Min: 482.34 / Avg: 498.78 / Max: 510.26 Min: 633.32 / Avg: 638.63 / Max: 644.64 Min: 549.37 / Avg: 553.03 / Max: 557.19 Min: 620.31 / Avg: 627.38 / Max: 633.22 Min: 544.84 / Avg: 548.14 / Max: 551.64 Min: 509.41 / Avg: 514.9 / Max: 520.31 Min: 543.31 / Avg: 546 / Max: 550.44 Min: 551.19 / Avg: 552.58 / Max: 553.32 Min: 543.29 / Avg: 544.37 / Max: 546.31 Min: 548.69 / Avg: 553.1 / Max: 555.94 Min: 544.73 / Avg: 547.26 / Max: 548.69 Min: 551.67 / Avg: 554.85 / Max: 557.36 Min: 606.95 / Avg: 610.59 / Max: 614.54 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 8 16 24 32 40 SE +/- 0.01, N = 3 SE +/- 0.14, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.10, N = 3 SE +/- 0.06, N = 3 SE +/- 0.09, N = 3 SE +/- 0.10, N = 3 SE +/- 0.10, N = 3 SE +/- 0.03, N = 3 SE +/- 0.09, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.14, N = 3 SE +/- 0.09, N = 3 SE +/- 0.16, N = 3 SE +/- 0.07, N = 3 SE +/- 0.04, N = 3 SE +/- 0.15, N = 3 SE +/- 0.07, N = 3 28.36 26.78 26.91 26.48 27.99 28.76 26.85 27.50 33.89 28.16 33.05 27.92 26.56 28.08 28.43 27.84 27.58 27.67 28.46 32.06 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 7 14 21 28 35 Min: 28.35 / Avg: 28.36 / Max: 28.39 Min: 26.51 / Avg: 26.78 / Max: 26.92 Min: 26.83 / Avg: 26.91 / Max: 26.99 Min: 26.42 / Avg: 26.48 / Max: 26.57 Min: 27.8 / Avg: 27.99 / Max: 28.13 Min: 28.64 / Avg: 28.76 / Max: 28.84 Min: 26.66 / Avg: 26.85 / Max: 26.96 Min: 27.33 / Avg: 27.5 / Max: 27.69 Min: 33.74 / Avg: 33.89 / Max: 34.08 Min: 28.11 / Avg: 28.16 / Max: 28.2 Min: 32.88 / Avg: 33.05 / Max: 33.16 Min: 27.88 / Avg: 27.92 / Max: 27.99 Min: 26.54 / Avg: 26.56 / Max: 26.6 Min: 27.82 / Avg: 28.08 / Max: 28.27 Min: 28.25 / Avg: 28.43 / Max: 28.56 Min: 27.65 / Avg: 27.84 / Max: 28.15 Min: 27.45 / Avg: 27.58 / Max: 27.68 Min: 27.6 / Avg: 27.67 / Max: 27.72 Min: 28.3 / Avg: 28.46 / Max: 28.76 Min: 31.92 / Avg: 32.06 / Max: 32.14 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 200 400 600 800 1000 SE +/- 2.14, N = 3 SE +/- 2.14, N = 3 SE +/- 1.25, N = 3 SE +/- 0.67, N = 3 SE +/- 1.82, N = 3 SE +/- 2.79, N = 3 SE +/- 3.05, N = 3 SE +/- 3.86, N = 3 SE +/- 1.62, N = 3 SE +/- 2.19, N = 3 SE +/- 2.65, N = 3 SE +/- 1.86, N = 3 SE +/- 1.71, N = 3 SE +/- 1.41, N = 3 SE +/- 0.85, N = 3 SE +/- 0.99, N = 3 SE +/- 3.04, N = 3 SE +/- 0.05, N = 3 SE +/- 2.21, N = 3 SE +/- 0.81, N = 3 959.68 893.05 885.81 838.12 918.81 971.19 877.83 915.08 1070.51 940.24 1021.52 938.95 871.81 930.43 949.99 945.95 912.66 942.70 957.98 1020.30 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 200 400 600 800 1000 Min: 957.34 / Avg: 959.68 / Max: 963.95 Min: 888.78 / Avg: 893.05 / Max: 895.41 Min: 884.13 / Avg: 885.81 / Max: 888.26 Min: 837.05 / Avg: 838.12 / Max: 839.34 Min: 916.37 / Avg: 918.81 / Max: 922.37 Min: 965.61 / Avg: 971.19 / Max: 974.12 Min: 873.21 / Avg: 877.83 / Max: 883.6 Min: 908.66 / Avg: 915.08 / Max: 922 Min: 1068.74 / Avg: 1070.51 / Max: 1073.75 Min: 936.37 / Avg: 940.24 / Max: 943.96 Min: 1017.45 / Avg: 1021.52 / Max: 1026.49 Min: 936.51 / Avg: 938.95 / Max: 942.6 Min: 869.8 / Avg: 871.81 / Max: 875.21 Min: 928.27 / Avg: 930.43 / Max: 933.08 Min: 948.99 / Avg: 949.99 / Max: 951.68 Min: 944.15 / Avg: 945.95 / Max: 947.58 Min: 907.1 / Avg: 912.66 / Max: 917.55 Min: 942.6 / Avg: 942.7 / Max: 942.78 Min: 954.44 / Avg: 957.98 / Max: 962.03 Min: 1019.2 / Avg: 1020.3 / Max: 1021.87 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 0.8415 1.683 2.5245 3.366 4.2075 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, 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 +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 3.18 2.99 3.09 2.93 3.08 3.25 3.01 3.12 3.74 3.17 3.59 3.12 2.96 3.17 3.21 3.12 3.12 3.09 3.19 3.58 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 2 4 6 8 10 Min: 3.17 / Avg: 3.18 / Max: 3.18 Min: 2.98 / Avg: 2.99 / Max: 3 Min: 3.08 / Avg: 3.09 / Max: 3.1 Min: 2.92 / Avg: 2.93 / Max: 2.94 Min: 3.07 / Avg: 3.08 / Max: 3.09 Min: 3.23 / Avg: 3.25 / Max: 3.27 Min: 2.99 / Avg: 3.01 / Max: 3.03 Min: 3.11 / Avg: 3.12 / Max: 3.12 Min: 3.73 / Avg: 3.74 / Max: 3.75 Min: 3.16 / Avg: 3.17 / Max: 3.18 Min: 3.57 / Avg: 3.59 / Max: 3.6 Min: 3.12 / Avg: 3.12 / Max: 3.12 Min: 2.95 / Avg: 2.96 / Max: 2.97 Min: 3.15 / Avg: 3.17 / Max: 3.2 Min: 3.2 / Avg: 3.21 / Max: 3.22 Min: 3.11 / Avg: 3.12 / Max: 3.13 Min: 3.12 / Avg: 3.12 / Max: 3.13 Min: 3.09 / Avg: 3.09 / Max: 3.1 Min: 3.19 / Avg: 3.19 / Max: 3.19 Min: 3.57 / Avg: 3.58 / Max: 3.59 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 11 22 33 44 55 SE +/- 0.03, 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 +/- 0.05, N = 3 SE +/- 0.03, 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 +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 45.95 45.96 43.45 45.67 46.19 45.29 48.59 47.57 39.28 46.25 38.06 46.70 45.49 45.35 45.51 47.09 46.18 46.49 45.95 42.06
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Antialias EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 10 20 30 40 50 Min: 45.9 / Avg: 45.95 / Max: 46 Min: 45.89 / Avg: 45.96 / Max: 46 Min: 43.39 / Avg: 43.45 / Max: 43.49 Min: 45.66 / Avg: 45.67 / Max: 45.7 Min: 46.18 / Avg: 46.19 / Max: 46.2 Min: 45.27 / Avg: 45.29 / Max: 45.3 Min: 48.5 / Avg: 48.59 / Max: 48.67 Min: 47.51 / Avg: 47.57 / Max: 47.62 Min: 39.22 / Avg: 39.28 / Max: 39.32 Min: 46.23 / Avg: 46.25 / Max: 46.28 Min: 38.05 / Avg: 38.06 / Max: 38.09 Min: 46.69 / Avg: 46.7 / Max: 46.71 Min: 45.18 / Avg: 45.49 / Max: 45.7 Min: 45.34 / Avg: 45.35 / Max: 45.38 Min: 45.49 / Avg: 45.51 / Max: 45.52 Min: 47.08 / Avg: 47.09 / Max: 47.11 Min: 46.1 / Avg: 46.18 / Max: 46.22 Min: 46.42 / Avg: 46.49 / Max: 46.53 Min: 45.93 / Avg: 45.95 / Max: 45.97 Min: 42.01 / Avg: 42.06 / Max: 42.1
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 6000M 12000M 18000M 24000M 30000M SE +/- 382431111.51, N = 3 SE +/- 252259078.21, N = 3 SE +/- 286988667.50, N = 3 SE +/- 314647678.30, N = 3 SE +/- 262528887.35, N = 3 SE +/- 270641509.43, N = 3 SE +/- 405179316.78, N = 3 SE +/- 371050761.61, N = 3 SE +/- 199580423.82, N = 3 SE +/- 260349467.99, N = 3 SE +/- 162622849.80, N = 3 SE +/- 277727800.92, N = 3 SE +/- 403725574.05, N = 3 SE +/- 257688840.28, N = 3 SE +/- 221045514.68, N = 3 SE +/- 264303439.24, N = 3 SE +/- 302020444.34, N = 3 SE +/- 295544204.19, N = 3 SE +/- 319930671.11, N = 3 SE +/- 150437988.79, N = 3 25830214816 26635457359 25036050319 26554811142 26061132684 25579772126 27160653682 26413350226 21458302092 25983329425 21612938632 26784839020 26833773763 25583041011 25481171757 26811743887 27156606176 27371988085 25935430170 22522673323
Result Confidence
OpenBenchmarking.org Nanoseconds/Operation, Fewer Is Better Go Benchmarks Test: build EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 5000M 10000M 15000M 20000M 25000M Min: 25402613145 / Avg: 25830214816 / Max: 26593222601 Min: 26296989348 / Avg: 26635457358.67 / Max: 27128702910 Min: 24721687629 / Avg: 25036050319 / Max: 25609127757 Min: 26148149868 / Avg: 26554811141.67 / Max: 27174049750 Min: 25723985903 / Avg: 26061132683.67 / Max: 26578293633 Min: 25215434359 / Avg: 25579772125.67 / Max: 26108616612 Min: 26709579111 / Avg: 27160653681.67 / Max: 27969208664 Min: 25992830121 / Avg: 26413350226.33 / Max: 27153146051 Min: 21203679144 / Avg: 21458302092.33 / Max: 21851832278 Min: 25699669989 / Avg: 25983329425 / Max: 26503310607 Min: 21386676155 / Avg: 21612938632.33 / Max: 21928412507 Min: 26458538443 / Avg: 26784839020.33 / Max: 27337276021 Min: 26256594229 / Avg: 26833773762.67 / Max: 27611373608 Min: 25289195555 / Avg: 25583041010.67 / Max: 26096640369 Min: 25250159824 / Avg: 25481171757 / Max: 25923110678 Min: 26485058463 / Avg: 26811743886.67 / Max: 27334984361 Min: 26813018719 / Avg: 27156606175.67 / Max: 27758643778 Min: 27064599055 / Avg: 27371988084.67 / Max: 27962916082 Min: 25498348340 / Avg: 25935430170.33 / Max: 26558676544 Min: 22320233608 / Avg: 22522673322.67 / Max: 22816658288
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 9 18 27 36 45 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 37.23 36.74 35.03 36.72 37.04 36.67 39.20 38.65 31.86 37.56 30.76 37.95 36.73 36.53 36.79 38.28 37.44 37.67 37.25 34.16
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Tile Glass EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 8 16 24 32 40 Min: 37.22 / Avg: 37.23 / Max: 37.25 Min: 36.69 / Avg: 36.74 / Max: 36.84 Min: 35 / Avg: 35.03 / Max: 35.08 Min: 36.67 / Avg: 36.72 / Max: 36.76 Min: 37.01 / Avg: 37.04 / Max: 37.1 Min: 36.61 / Avg: 36.67 / Max: 36.71 Min: 39.17 / Avg: 39.2 / Max: 39.22 Min: 38.55 / Avg: 38.65 / Max: 38.73 Min: 31.81 / Avg: 31.86 / Max: 31.94 Min: 37.54 / Avg: 37.56 / Max: 37.59 Min: 30.72 / Avg: 30.76 / Max: 30.79 Min: 37.93 / Avg: 37.94 / Max: 37.96 Min: 36.7 / Avg: 36.73 / Max: 36.75 Min: 36.5 / Avg: 36.53 / Max: 36.56 Min: 36.73 / Avg: 36.79 / Max: 36.85 Min: 38.26 / Avg: 38.28 / Max: 38.32 Min: 37.39 / Avg: 37.44 / Max: 37.51 Min: 37.64 / Avg: 37.67 / Max: 37.7 Min: 37.21 / Avg: 37.25 / Max: 37.31 Min: 34.11 / Avg: 34.16 / Max: 34.24
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 0.0126 0.0252 0.0378 0.0504 0.063 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, 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 = 4 0.045 0.045 0.056 0.056 0.045 0.045 0.049 0.052 0.049 0.044 0.049 0.045 0.054 0.051 0.046 0.046 0.046 0.046 0.045 0.049 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 1 2 3 4 5 Min: 0.04 / Avg: 0.04 / Max: 0.05 Min: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.06 / Avg: 0.06 / Max: 0.06 Min: 0.06 / Avg: 0.06 / Max: 0.06 Min: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.04 / Avg: 0.05 / Max: 0.05 Min: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.05 / 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: 0.04 / Avg: 0.05 / Max: 0.05 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 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 70 140 210 280 350 SE +/- 0.18, N = 3 SE +/- 0.26, N = 3 SE +/- 0.56, N = 3 SE +/- 0.44, N = 3 SE +/- 0.40, N = 3 SE +/- 0.41, N = 3 SE +/- 0.40, N = 3 SE +/- 0.79, N = 3 SE +/- 0.22, N = 3 SE +/- 0.43, N = 3 SE +/- 0.42, N = 3 SE +/- 0.21, N = 3 SE +/- 0.27, N = 3 SE +/- 0.19, N = 3 SE +/- 0.22, N = 3 SE +/- 0.42, N = 3 SE +/- 0.13, N = 3 SE +/- 0.38, N = 3 SE +/- 0.42, N = 3 SE +/- 0.16, N = 3 283.83 299.48 284.19 299.40 295.00 280.26 303.03 289.39 250.34 284.17 253.15 288.66 317.25 287.70 283.80 287.72 285.86 287.49 283.69 262.15 1. (CXX) g++ options: -O2
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better LZMA Compression 256MB File Compression EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 60 120 180 240 300 Min: 283.49 / Avg: 283.83 / Max: 284.12 Min: 298.98 / Avg: 299.48 / Max: 299.82 Min: 283.27 / Avg: 284.18 / Max: 285.21 Min: 298.85 / Avg: 299.4 / Max: 300.28 Min: 294.38 / Avg: 295 / Max: 295.76 Min: 279.55 / Avg: 280.26 / Max: 280.97 Min: 302.31 / Avg: 303.03 / Max: 303.67 Min: 287.82 / Avg: 289.39 / Max: 290.18 Min: 250.1 / Avg: 250.34 / Max: 250.78 Min: 283.53 / Avg: 284.17 / Max: 284.98 Min: 252.34 / Avg: 253.15 / Max: 253.74 Min: 288.26 / Avg: 288.66 / Max: 288.94 Min: 316.76 / Avg: 317.25 / Max: 317.67 Min: 287.32 / Avg: 287.7 / Max: 287.89 Min: 283.5 / Avg: 283.8 / Max: 284.24 Min: 286.99 / Avg: 287.72 / Max: 288.45 Min: 285.61 / Avg: 285.86 / Max: 286.04 Min: 287.04 / Avg: 287.49 / Max: 288.24 Min: 283.03 / Avg: 283.69 / Max: 284.46 Min: 261.93 / Avg: 262.15 / Max: 262.47 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 11 22 33 44 55 SE +/- 0.11, N = 3 SE +/- 0.07, N = 3 SE +/- 0.12, N = 3 SE +/- 0.03, N = 3 SE +/- 0.12, N = 3 SE +/- 0.10, N = 3 SE +/- 0.13, N = 3 SE +/- 0.03, N = 3 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 SE +/- 0.13, N = 3 SE +/- 0.08, N = 3 SE +/- 0.09, N = 3 SE +/- 0.11, N = 3 SE +/- 0.10, N = 3 SE +/- 0.10, N = 3 SE +/- 0.09, N = 3 SE +/- 0.09, N = 3 SE +/- 0.10, N = 3 SE +/- 0.15, N = 3 42.96 45.31 42.55 45.46 44.85 42.37 45.77 43.75 36.89 42.79 37.03 43.72 46.63 43.62 42.86 43.72 43.09 43.72 42.93 39.06 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 9 18 27 36 45 Min: 42.75 / Avg: 42.96 / Max: 43.12 Min: 45.17 / Avg: 45.31 / Max: 45.43 Min: 42.38 / Avg: 42.55 / Max: 42.78 Min: 45.42 / Avg: 45.46 / Max: 45.53 Min: 44.68 / Avg: 44.85 / Max: 45.08 Min: 42.17 / Avg: 42.37 / Max: 42.5 Min: 45.52 / Avg: 45.77 / Max: 45.96 Min: 43.71 / Avg: 43.75 / Max: 43.8 Min: 36.78 / Avg: 36.89 / Max: 37.06 Min: 42.72 / Avg: 42.79 / Max: 42.82 Min: 36.86 / Avg: 37.03 / Max: 37.28 Min: 43.59 / Avg: 43.72 / Max: 43.85 Min: 46.45 / Avg: 46.63 / Max: 46.74 Min: 43.4 / Avg: 43.62 / Max: 43.73 Min: 42.72 / Avg: 42.86 / Max: 43.05 Min: 43.51 / Avg: 43.72 / Max: 43.84 Min: 42.93 / Avg: 43.09 / Max: 43.23 Min: 43.54 / Avg: 43.72 / Max: 43.82 Min: 42.82 / Avg: 42.93 / Max: 43.12 Min: 38.76 / Avg: 39.06 / Max: 39.27 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 5K 10K 15K 20K 25K SE +/- 262.17, N = 3 SE +/- 27.06, N = 3 SE +/- 42.01, N = 3 SE +/- 129.62, N = 3 SE +/- 89.85, N = 3 SE +/- 176.46, N = 3 SE +/- 259.08, N = 3 SE +/- 184.41, N = 3 SE +/- 40.49, N = 3 SE +/- 379.01, N = 3 SE +/- 93.22, N = 3 SE +/- 348.99, N = 3 SE +/- 205.26, N = 3 SE +/- 162.08, N = 3 SE +/- 118.63, N = 3 SE +/- 89.99, N = 3 SE +/- 206.48, N = 3 SE +/- 103.27, N = 3 SE +/- 159.06, N = 3 SE +/- 285.19, N = 4 22326 22181 17838 18091 22180 22218 20319 19432 20469 22544 20488 22073 18592 19628 21983 21827 21786 21921 22181 20394 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 4K 8K 12K 16K 20K Min: 21982.24 / Avg: 22326.42 / Max: 22841.08 Min: 22144.29 / Avg: 22180.58 / Max: 22233.5 Min: 17753.67 / Avg: 17837.68 / Max: 17880.04 Min: 17944.02 / Avg: 18090.74 / Max: 18349.19 Min: 22003.76 / Avg: 22179.9 / Max: 22298.85 Min: 21966.52 / Avg: 22218.05 / Max: 22558.21 Min: 19805.7 / Avg: 20318.57 / Max: 20639.03 Min: 19156.62 / Avg: 19432.42 / Max: 19782.39 Min: 20410.79 / Avg: 20468.57 / Max: 20546.61 Min: 21988.7 / Avg: 22543.58 / Max: 23268.26 Min: 20323.51 / Avg: 20487.99 / Max: 20646.25 Min: 21597.21 / Avg: 22073.2 / Max: 22753.29 Min: 18182.08 / Avg: 18591.87 / Max: 18817.89 Min: 19360.7 / Avg: 19628.5 / Max: 19920.57 Min: 21821.23 / Avg: 21983.11 / Max: 22214.27 Min: 21648.3 / Avg: 21827.19 / Max: 21933.74 Min: 21391.67 / Avg: 21786.32 / Max: 22088.94 Min: 21791.82 / Avg: 21920.87 / Max: 22125.05 Min: 21867.11 / Avg: 22181.49 / Max: 22380.89 Min: 19799.7 / Avg: 20393.53 / Max: 21057.77 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 4K 8K 12K 16K 20K SE +/- 204.31, N = 3 SE +/- 147.87, N = 3 SE +/- 174.94, N = 3 SE +/- 109.92, N = 3 SE +/- 77.59, N = 3 SE +/- 39.21, N = 3 SE +/- 65.28, N = 3 SE +/- 71.08, N = 3 SE +/- 30.07, N = 3 SE +/- 94.50, N = 3 SE +/- 77.56, N = 3 SE +/- 115.47, N = 3 SE +/- 151.54, N = 3 SE +/- 171.42, N = 6 SE +/- 39.40, N = 3 SE +/- 104.33, N = 3 SE +/- 224.88, N = 3 SE +/- 238.37, N = 3 SE +/- 86.33, N = 3 SE +/- 185.62, N = 8 15020 14445 14633 14138 14608 15187 14443 14709 16017 15060 15791 14955 14210 14751 14979 14496 14749 14945 14985 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 3K 6K 9K 12K 15K Min: 14632 / Avg: 15020 / Max: 15325 Min: 14172 / Avg: 14445 / Max: 14680 Min: 14283 / Avg: 14632.67 / Max: 14818 Min: 13955 / Avg: 14138 / Max: 14335 Min: 14524 / Avg: 14608 / Max: 14763 Min: 15109 / Avg: 15187 / Max: 15233 Min: 14319 / Avg: 14443.33 / Max: 14540 Min: 14589 / Avg: 14709 / Max: 14835 Min: 15963 / Avg: 16016.67 / Max: 16067 Min: 14874 / Avg: 15060 / Max: 15182 Min: 15637 / Avg: 15791.33 / Max: 15882 Min: 14780 / Avg: 14955 / Max: 15173 Min: 13997 / Avg: 14209.67 / Max: 14503 Min: 13908 / Avg: 14751.17 / Max: 15000 Min: 14904 / Avg: 14979.33 / Max: 15037 Min: 14336 / Avg: 14496 / Max: 14692 Min: 14396 / Avg: 14749.33 / Max: 15167 Min: 14469 / Avg: 14945 / Max: 15206 Min: 14886 / Avg: 14985 / Max: 15157 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 9M 18M 27M 36M 45M SE +/- 367535.20, N = 3 SE +/- 155536.72, N = 3 SE +/- 436419.16, N = 5 SE +/- 130216.74, N = 3 SE +/- 165385.16, N = 3 SE +/- 288205.93, N = 3 SE +/- 166454.26, N = 3 SE +/- 226742.78, N = 3 SE +/- 472119.65, N = 6 SE +/- 486609.08, N = 3 SE +/- 290111.25, N = 3 SE +/- 253533.19, N = 3 SE +/- 252864.20, N = 3 SE +/- 472480.22, N = 3 SE +/- 226875.87, N = 3 SE +/- 229640.42, N = 3 SE +/- 217072.87, N = 3 SE +/- 198080.38, N = 3 SE +/- 137924.77, N = 3 SE +/- 216768.78, N = 3 33922674.2 33234938.3 34728740.7 33048937.0 31997433.8 33745274.1 31911088.8 32270334.2 39633515.4 32982666.1 40212653.6 32835766.0 32409435.2 33558264.8 33817633.6 33456314.6 34006118.7 31996287.3 33230145.2 39446298.1
Result Confidence
OpenBenchmarking.org LPS, More Is Better BYTE Unix Benchmark 3.6 Computational Test: Dhrystone 2 EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 7M 14M 21M 28M 35M Min: 33506863.3 / Avg: 33922674.2 / Max: 34655529.5 Min: 32942651.5 / Avg: 33234938.3 / Max: 33473284.4 Min: 33693824.3 / Avg: 34728740.74 / Max: 35856987.7 Min: 32797065.1 / Avg: 33048936.97 / Max: 33232228.1 Min: 31674127.4 / Avg: 31997433.83 / Max: 32219597.1 Min: 33232001.3 / Avg: 33745274.07 / Max: 34229069.6 Min: 31595288.5 / Avg: 31911088.8 / Max: 32160223.2 Min: 31818496.7 / Avg: 32270334.2 / Max: 32529704.7 Min: 37414193 / Avg: 39633515.43 / Max: 40556935 Min: 32220133 / Avg: 32982666.1 / Max: 33887643.1 Min: 39688926 / Avg: 40212653.6 / Max: 40690794.2 Min: 32393997.8 / Avg: 32835766 / Max: 33272214.2 Min: 31904966 / Avg: 32409435.17 / Max: 32692557.6 Min: 32668442.4 / Avg: 33558264.8 / Max: 34278629.7 Min: 33580391.9 / Avg: 33817633.6 / Max: 34271225 Min: 33133629.2 / Avg: 33456314.63 / Max: 33900694 Min: 33572556.5 / Avg: 34006118.67 / Max: 34242387.5 Min: 31617582.3 / Avg: 31996287.27 / Max: 32286359.3 Min: 32996788.2 / Avg: 33230145.2 / Max: 33474213.3 Min: 39016803.3 / Avg: 39446298.07 / Max: 39712200.1
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 3 6 9 12 15 SE +/- 0.019, N = 3 SE +/- 0.038, N = 3 SE +/- 0.012, N = 3 SE +/- 0.016, N = 3 SE +/- 0.021, N = 3 SE +/- 0.023, N = 3 SE +/- 0.021, N = 3 SE +/- 0.031, N = 3 SE +/- 0.034, N = 3 SE +/- 0.031, N = 3 SE +/- 0.013, N = 3 SE +/- 0.029, N = 3 SE +/- 0.021, N = 3 SE +/- 0.045, N = 3 SE +/- 0.027, N = 3 SE +/- 0.022, N = 3 SE +/- 0.032, N = 3 SE +/- 0.034, N = 3 SE +/- 0.032, N = 3 SE +/- 0.015, N = 3 10.277 10.385 9.775 10.335 10.384 9.983 10.820 10.633 8.706 10.365 8.587 10.572 10.404 10.160 10.052 10.505 10.142 10.310 10.233 9.252
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Crop EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 3 6 9 12 15 Min: 10.25 / Avg: 10.28 / Max: 10.31 Min: 10.31 / Avg: 10.38 / Max: 10.44 Min: 9.76 / Avg: 9.78 / Max: 9.8 Min: 10.32 / Avg: 10.34 / Max: 10.37 Min: 10.35 / Avg: 10.38 / Max: 10.42 Min: 9.94 / Avg: 9.98 / Max: 10.02 Min: 10.78 / Avg: 10.82 / Max: 10.85 Min: 10.59 / Avg: 10.63 / Max: 10.69 Min: 8.64 / Avg: 8.71 / Max: 8.74 Min: 10.31 / Avg: 10.37 / Max: 10.41 Min: 8.56 / Avg: 8.59 / Max: 8.6 Min: 10.53 / Avg: 10.57 / Max: 10.63 Min: 10.36 / Avg: 10.4 / Max: 10.43 Min: 10.1 / Avg: 10.16 / Max: 10.25 Min: 10 / Avg: 10.05 / Max: 10.1 Min: 10.46 / Avg: 10.5 / Max: 10.53 Min: 10.09 / Avg: 10.14 / Max: 10.2 Min: 10.26 / Avg: 10.31 / Max: 10.38 Min: 10.18 / Avg: 10.23 / Max: 10.29 Min: 9.23 / Avg: 9.25 / Max: 9.28
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 0.4325 0.865 1.2975 1.73 2.1625 SE +/- 0.004, N = 3 SE +/- 0.010, N = 3 SE +/- 0.004, N = 3 SE +/- 0.003, N = 3 SE +/- 0.003, N = 3 SE +/- 0.000, N = 3 SE +/- 0.006, N = 3 SE +/- 0.004, N = 3 SE +/- 0.003, N = 3 SE +/- 0.003, N = 3 SE +/- 0.005, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 SE +/- 0.009, N = 3 SE +/- 0.006, N = 3 SE +/- 0.002, N = 3 SE +/- 0.004, N = 3 1.767 1.862 1.748 1.901 1.849 1.745 1.894 1.802 1.528 1.778 1.538 1.799 1.854 1.800 1.773 1.802 1.792 1.812 1.776 1.922 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 2 4 6 8 10 Min: 1.76 / Avg: 1.77 / Max: 1.77 Min: 1.84 / Avg: 1.86 / Max: 1.87 Min: 1.74 / Avg: 1.75 / Max: 1.75 Min: 1.9 / Avg: 1.9 / Max: 1.91 Min: 1.84 / Avg: 1.85 / Max: 1.85 Min: 1.75 / Avg: 1.75 / Max: 1.75 Min: 1.88 / Avg: 1.89 / Max: 1.9 Min: 1.79 / Avg: 1.8 / Max: 1.81 Min: 1.52 / Avg: 1.53 / Max: 1.53 Min: 1.77 / Avg: 1.78 / Max: 1.78 Min: 1.53 / Avg: 1.54 / Max: 1.55 Min: 1.8 / Avg: 1.8 / Max: 1.8 Min: 1.85 / Avg: 1.85 / Max: 1.86 Min: 1.8 / Avg: 1.8 / Max: 1.8 Min: 1.77 / Avg: 1.77 / Max: 1.78 Min: 1.8 / Avg: 1.8 / Max: 1.8 Min: 1.78 / Avg: 1.79 / Max: 1.81 Min: 1.8 / Avg: 1.81 / Max: 1.82 Min: 1.77 / Avg: 1.78 / Max: 1.78 Min: 1.91 / Avg: 1.92 / Max: 1.93 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 3K 6K 9K 12K 15K SE +/- 56.96, N = 3 SE +/- 56.96, N = 3 SE +/- 104.18, N = 3 SE +/- 50.19, N = 3 SE +/- 63.42, N = 3 SE +/- 63.42, N = 3 SE +/- 112.46, N = 3 SE +/- 60.88, N = 6 SE +/- 75.38, N = 3 SE +/- 155.07, N = 3 SE +/- 73.16, N = 3 SE +/- 189.94, N = 3 SE +/- 56.96, N = 3 SE +/- 163.64, N = 3 SE +/- 190.33, N = 3 SE +/- 170.94, N = 3 SE +/- 102.66, N = 3 SE +/- 78.14, N = 4 SE +/- 115.44, N = 3 SE +/- 80.13, N = 3 13101 13044 12554 12295 13762 13825 12933 13394 15076 13219 14779 12826 13101 13579 13704 12991 13335 12580 13218 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 3K 6K 9K 12K 15K Min: 12987.01 / Avg: 13100.93 / Max: 13157.89 Min: 12987.01 / Avg: 13043.97 / Max: 13157.89 Min: 12345.68 / Avg: 12554.04 / Max: 12658.23 Min: 12195.12 / Avg: 12295.49 / Max: 12345.68 Min: 13698.63 / Avg: 13762.05 / Max: 13888.89 Min: 13698.63 / Avg: 13825.47 / Max: 13888.89 Min: 12820.51 / Avg: 12932.97 / Max: 13157.89 Min: 13333.33 / Avg: 13394.22 / Max: 13698.63 Min: 14925.37 / Avg: 15076.13 / Max: 15151.52 Min: 12987.01 / Avg: 13219.47 / Max: 13513.51 Min: 14705.88 / Avg: 14779.05 / Max: 14925.37 Min: 12500 / Avg: 12826.14 / Max: 13157.89 Min: 12987.01 / Avg: 13100.93 / Max: 13157.89 Min: 13333.33 / Avg: 13578.58 / Max: 13888.89 Min: 13513.51 / Avg: 13703.84 / Max: 14084.51 Min: 12820.51 / Avg: 12991.45 / Max: 13333.33 Min: 13157.89 / Avg: 13334.91 / Max: 13513.51 Min: 12345.68 / Avg: 12580.09 / Max: 12658.23 Min: 12987.01 / Avg: 13217.89 / Max: 13333.33 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 1.1755 2.351 3.5265 4.702 5.8775 SE +/- 0.002829, N = 3 SE +/- 0.016217, N = 3 SE +/- 0.008742, N = 3 SE +/- 0.010168, N = 3 SE +/- 0.003474, N = 3 SE +/- 0.000419, N = 3 SE +/- 0.002824, N = 3 SE +/- 0.012064, N = 3 SE +/- 0.000994, N = 3 SE +/- 0.004633, N = 3 SE +/- 0.011665, N = 3 SE +/- 0.002361, N = 3 SE +/- 0.007223, N = 3 SE +/- 0.002894, N = 3 SE +/- 0.000683, N = 3 SE +/- 0.004061, N = 3 SE +/- 0.003424, N = 3 SE +/- 0.000840, N = 3 SE +/- 0.008226, N = 3 SE +/- 0.003840, N = 3 4.826640 5.121093 4.806707 5.145545 5.056768 4.751726 5.143761 4.928625 4.154332 4.839403 4.175056 4.912686 5.224225 4.896866 4.831873 4.900239 4.850538 4.906207 4.852151 4.394798 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 2 4 6 8 10 Min: 4.82 / Avg: 4.83 / Max: 4.83 Min: 5.1 / Avg: 5.12 / Max: 5.15 Min: 4.79 / Avg: 4.81 / Max: 4.82 Min: 5.13 / Avg: 5.15 / Max: 5.16 Min: 5.05 / Avg: 5.06 / Max: 5.06 Min: 4.75 / Avg: 4.75 / Max: 4.75 Min: 5.14 / Avg: 5.14 / Max: 5.15 Min: 4.91 / Avg: 4.93 / Max: 4.95 Min: 4.15 / Avg: 4.15 / Max: 4.16 Min: 4.83 / Avg: 4.84 / Max: 4.85 Min: 4.16 / Avg: 4.18 / Max: 4.2 Min: 4.91 / Avg: 4.91 / Max: 4.92 Min: 5.21 / Avg: 5.22 / Max: 5.23 Min: 4.89 / Avg: 4.9 / Max: 4.9 Min: 4.83 / Avg: 4.83 / Max: 4.83 Min: 4.9 / Avg: 4.9 / Max: 4.91 Min: 4.84 / Avg: 4.85 / Max: 4.86 Min: 4.91 / Avg: 4.91 / Max: 4.91 Min: 4.84 / Avg: 4.85 / Max: 4.87 Min: 4.39 / Avg: 4.39 / Max: 4.4 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 11K 22K 33K 44K 55K SE +/- 305.95, N = 3 SE +/- 271.47, N = 3 SE +/- 29.67, N = 3 SE +/- 234.79, N = 3 SE +/- 144.01, N = 3 SE +/- 123.40, N = 3 SE +/- 246.81, N = 3 SE +/- 228.23, N = 3 SE +/- 367.61, N = 3 SE +/- 579.41, N = 4 SE +/- 501.34, N = 3 SE +/- 114.65, N = 3 SE +/- 152.30, N = 3 SE +/- 510.01, N = 3 SE +/- 512.89, N = 3 SE +/- 544.47, N = 3 SE +/- 711.03, N = 3 SE +/- 338.23, N = 3 SE +/- 138.35, N = 3 SE +/- 63.71, N = 3 43470 42331 45232 41567 42168 44914 40791 43804 51156 43678 51110 43205 42474 43313 43788 42921 43161 43441 43784 48606 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 9K 18K 27K 36K 45K Min: 42923 / Avg: 43470 / Max: 43981 Min: 41797 / Avg: 42331 / Max: 42683 Min: 45173 / Avg: 45232.33 / Max: 45262 Min: 41198 / Avg: 41567 / Max: 42003 Min: 41880 / Avg: 42167.67 / Max: 42324 Min: 44672 / Avg: 44914.33 / Max: 45076 Min: 40320 / Avg: 40791.33 / Max: 41154 Min: 43491 / Avg: 43803.67 / Max: 44248 Min: 50607 / Avg: 51156 / Max: 51854 Min: 42352 / Avg: 43677.5 / Max: 44983 Min: 50319 / Avg: 51109.67 / Max: 52039 Min: 42985 / Avg: 43205 / Max: 43371 Min: 42203 / Avg: 42473.67 / Max: 42730 Min: 42679 / Avg: 43313 / Max: 44322 Min: 42803 / Avg: 43787.67 / Max: 44529 Min: 42256 / Avg: 42920.67 / Max: 44000 Min: 42186 / Avg: 43161 / Max: 44545 Min: 43033 / Avg: 43440.67 / Max: 44112 Min: 43585 / Avg: 43784 / Max: 44050 Min: 48531 / Avg: 48606.33 / Max: 48733 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 0.0734 0.1468 0.2202 0.2936 0.367 SE +/- 0.003, N = 3 SE +/- 0.004, N = 4 SE +/- 0.002, N = 3 SE +/- 0.003, N = 3 SE +/- 0.002, N = 3 SE +/- 0.005, N = 3 SE +/- 0.003, N = 3 SE +/- 0.004, N = 6 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 SE +/- 0.004, N = 3 SE +/- 0.002, N = 3 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 SE +/- 0.002, N = 3 SE +/- 0.004, N = 3 SE +/- 0.001, N = 3 SE +/- 0.004, N = 3 0.278 0.284 0.322 0.326 0.274 0.274 0.296 0.299 0.282 0.279 0.281 0.285 0.320 0.301 0.280 0.281 0.274 0.278 0.275 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 1 2 3 4 5 Min: 0.27 / Avg: 0.28 / Max: 0.29 Min: 0.28 / Avg: 0.28 / Max: 0.3 Min: 0.32 / Avg: 0.32 / Max: 0.33 Min: 0.32 / Avg: 0.33 / Max: 0.33 Min: 0.27 / Avg: 0.27 / Max: 0.28 Min: 0.27 / Avg: 0.27 / Max: 0.28 Min: 0.29 / Avg: 0.3 / Max: 0.3 Min: 0.28 / Avg: 0.3 / Max: 0.31 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: 0.28 Min: 0.28 / Avg: 0.29 / Max: 0.29 Min: 0.32 / Avg: 0.32 / Max: 0.32 Min: 0.3 / Avg: 0.3 / Max: 0.31 Min: 0.28 / Avg: 0.28 / Max: 0.28 Min: 0.28 / Avg: 0.28 / Max: 0.29 Min: 0.27 / Avg: 0.27 / Max: 0.28 Min: 0.27 / Avg: 0.28 / 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 800 1600 2400 3200 4000 SE +/- 43.27, N = 3 SE +/- 51.99, N = 4 SE +/- 13.03, N = 3 SE +/- 28.19, N = 3 SE +/- 22.27, N = 3 SE +/- 60.62, N = 3 SE +/- 30.14, N = 3 SE +/- 40.17, N = 6 SE +/- 7.81, N = 3 SE +/- 32.57, N = 3 SE +/- 7.61, N = 3 SE +/- 44.26, N = 3 SE +/- 17.06, N = 3 SE +/- 35.16, N = 3 SE +/- 12.12, N = 3 SE +/- 31.77, N = 3 SE +/- 23.47, N = 3 SE +/- 49.87, N = 3 SE +/- 13.96, N = 3 SE +/- 59.00, N = 3 3599 3520 3103 3073 3653 3652 3379 3345 3544 3581 3564 3509 3126 3323 3566 3558 3650 3600 3642 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 700 1400 2100 2800 3500 Min: 3513.44 / Avg: 3598.6 / Max: 3654.53 Min: 3377.54 / Avg: 3520.45 / Max: 3610.33 Min: 3077.78 / Avg: 3103.27 / Max: 3120.74 Min: 3017.13 / Avg: 3073.27 / Max: 3105.88 Min: 3608.15 / Avg: 3652.68 / Max: 3675.87 Min: 3562.25 / Avg: 3652.05 / Max: 3767.49 Min: 3327.27 / Avg: 3378.61 / Max: 3431.64 Min: 3226 / Avg: 3344.74 / Max: 3521.19 Min: 3530.38 / Avg: 3543.86 / Max: 3557.44 Min: 3520.73 / Avg: 3580.83 / Max: 3632.65 Min: 3550.22 / Avg: 3563.8 / Max: 3576.56 Min: 3461.19 / Avg: 3509.26 / Max: 3597.67 Min: 3092.27 / Avg: 3126.06 / Max: 3147.03 Min: 3261.77 / Avg: 3322.6 / Max: 3383.57 Min: 3542.2 / Avg: 3565.68 / Max: 3582.65 Min: 3499.95 / Avg: 3558.37 / Max: 3609.22 Min: 3603.43 / Avg: 3650.12 / Max: 3677.68 Min: 3548.08 / Avg: 3600.4 / Max: 3700.1 Min: 3622.19 / Avg: 3642.31 / Max: 3669.12 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 4 8 12 16 20 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 +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.06, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 15.25 15.35 14.84 15.50 15.28 15.04 15.96 15.66 12.85 15.25 12.77 15.67 15.54 15.17 15.13 15.73 15.60 15.66 15.20 13.65
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GIMP 2.10.18 Test: rotate EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 4 8 12 16 20 Min: 15.16 / Avg: 15.25 / Max: 15.37 Min: 15.31 / Avg: 15.35 / Max: 15.42 Min: 14.8 / Avg: 14.83 / Max: 14.87 Min: 15.39 / Avg: 15.5 / Max: 15.57 Min: 15.24 / Avg: 15.28 / Max: 15.31 Min: 15.02 / Avg: 15.04 / Max: 15.06 Min: 15.86 / Avg: 15.96 / Max: 16.04 Min: 15.63 / Avg: 15.66 / Max: 15.69 Min: 12.82 / Avg: 12.85 / Max: 12.88 Min: 15.23 / Avg: 15.25 / Max: 15.28 Min: 12.73 / Avg: 12.77 / Max: 12.79 Min: 15.61 / Avg: 15.67 / Max: 15.75 Min: 15.43 / Avg: 15.54 / Max: 15.63 Min: 15.05 / Avg: 15.17 / Max: 15.24 Min: 15.12 / Avg: 15.12 / Max: 15.13 Min: 15.66 / Avg: 15.72 / Max: 15.76 Min: 15.54 / Avg: 15.6 / Max: 15.67 Min: 15.6 / Avg: 15.66 / Max: 15.74 Min: 15.16 / Avg: 15.2 / Max: 15.28 Min: 13.6 / Avg: 13.65 / Max: 13.68
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 700 1400 2100 2800 3500 SE +/- 17.32, N = 3 SE +/- 16.59, N = 3 SE +/- 23.86, N = 3 SE +/- 13.05, N = 3 SE +/- 19.16, N = 3 SE +/- 28.38, N = 3 SE +/- 12.96, N = 3 SE +/- 37.57, N = 3 SE +/- 1.38, N = 3 SE +/- 13.16, N = 3 SE +/- 3.64, N = 3 SE +/- 26.42, N = 3 SE +/- 36.25, N = 3 SE +/- 31.89, N = 3 SE +/- 15.96, N = 3 SE +/- 27.23, N = 3 SE +/- 18.01, N = 3 SE +/- 17.22, N = 3 SE +/- 9.34, N = 3 SE +/- 28.94, N = 3 2877 2757 2498 2482 2745 2935 2717 2673 2852 2850 2891 2872 2568 2680 2914 2859 2877 2845 2835 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 500 1000 1500 2000 2500 Min: 2844.57 / Avg: 2877.05 / Max: 2903.7 Min: 2724.8 / Avg: 2756.58 / Max: 2780.72 Min: 2451.18 / Avg: 2497.82 / Max: 2529.91 Min: 2458.31 / Avg: 2481.71 / Max: 2503.41 Min: 2714.71 / Avg: 2744.76 / Max: 2780.38 Min: 2901.28 / Avg: 2935.34 / Max: 2991.69 Min: 2695.19 / Avg: 2717.14 / Max: 2740.04 Min: 2611.35 / Avg: 2672.99 / Max: 2741.03 Min: 2849.66 / Avg: 2851.95 / Max: 2854.42 Min: 2823.33 / Avg: 2849.63 / Max: 2863.69 Min: 2883.86 / Avg: 2891.13 / Max: 2895.01 Min: 2824.25 / Avg: 2872.16 / Max: 2915.42 Min: 2506.37 / Avg: 2568.17 / Max: 2631.9 Min: 2630.77 / Avg: 2680.14 / Max: 2739.79 Min: 2881.99 / Avg: 2913.86 / Max: 2931.47 Min: 2806.49 / Avg: 2859.08 / Max: 2897.62 Min: 2840.72 / Avg: 2876.63 / Max: 2897.01 Min: 2825.52 / Avg: 2845.46 / Max: 2879.74 Min: 2817.49 / Avg: 2835.09 / Max: 2849.31 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 8 16 24 32 40 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 31.8 33.3 31.3 33.4 33.3 31.3 34.2 32.4 27.4 31.7 27.4 32.2 33.4 32.3 31.7 32.4 32.0 32.4 31.8 28.9
Result Confidence
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: json_loads EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 7 14 21 28 35 Min: 31.8 / Avg: 31.8 / Max: 31.8 Min: 33.3 / Avg: 33.33 / Max: 33.4 Min: 31.3 / Avg: 31.33 / Max: 31.4 Min: 33.4 / Avg: 33.43 / Max: 33.5 Min: 33.2 / Avg: 33.27 / Max: 33.3 Min: 31.3 / Avg: 31.33 / Max: 31.4 Min: 34.2 / Avg: 34.23 / Max: 34.3 Min: 32.3 / Avg: 32.37 / Max: 32.4 Min: 27.3 / Avg: 27.4 / Max: 27.5 Min: 31.7 / Avg: 31.7 / Max: 31.7 Min: 27.3 / Avg: 27.37 / Max: 27.4 Min: 32.2 / Avg: 32.2 / Max: 32.2 Min: 33.3 / Avg: 33.37 / Max: 33.4 Min: 32.3 / Avg: 32.33 / Max: 32.4 Min: 31.7 / Avg: 31.73 / Max: 31.8 Min: 32.4 / Avg: 32.43 / Max: 32.5 Min: 31.9 / Avg: 32 / Max: 32.1 Min: 32.4 / Avg: 32.4 / Max: 32.4 Min: 31.7 / Avg: 31.77 / Max: 31.8 Min: 28.9 / Avg: 28.9 / Max: 28.9
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 0.884 1.768 2.652 3.536 4.42 SE +/- 0.053, N = 4 SE +/- 0.063, N = 3 SE +/- 0.049, N = 4 SE +/- 0.062, N = 3 SE +/- 0.053, N = 4 SE +/- 0.049, N = 4 SE +/- 0.067, N = 3 SE +/- 0.063, N = 3 SE +/- 0.039, N = 5 SE +/- 0.058, N = 3 SE +/- 0.040, N = 5 SE +/- 0.059, N = 3 SE +/- 0.052, N = 4 SE +/- 0.050, N = 4 SE +/- 0.052, N = 4 SE +/- 0.050, N = 5 SE +/- 0.063, N = 3 SE +/- 0.051, N = 4 SE +/- 0.053, N = 4 SE +/- 0.040, N = 5 3.662 3.862 3.636 3.866 3.836 3.628 3.929 3.755 3.149 3.702 3.160 3.745 3.836 3.710 3.664 3.722 3.708 3.724 3.677 3.319
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better System GZIP Decompression EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 2 4 6 8 10 Min: 3.6 / Avg: 3.66 / Max: 3.82 Min: 3.79 / Avg: 3.86 / Max: 3.99 Min: 3.58 / Avg: 3.64 / Max: 3.78 Min: 3.8 / Avg: 3.87 / Max: 3.99 Min: 3.77 / Avg: 3.84 / Max: 3.99 Min: 3.57 / Avg: 3.63 / Max: 3.78 Min: 3.85 / Avg: 3.93 / Max: 4.06 Min: 3.68 / Avg: 3.75 / Max: 3.88 Min: 3.1 / Avg: 3.15 / Max: 3.31 Min: 3.61 / Avg: 3.7 / Max: 3.81 Min: 3.1 / Avg: 3.16 / Max: 3.32 Min: 3.68 / Avg: 3.75 / Max: 3.86 Min: 3.77 / Avg: 3.84 / Max: 3.99 Min: 3.66 / Avg: 3.71 / Max: 3.86 Min: 3.6 / Avg: 3.66 / Max: 3.82 Min: 3.66 / Avg: 3.72 / Max: 3.92 Min: 3.64 / Avg: 3.71 / Max: 3.84 Min: 3.66 / Avg: 3.72 / Max: 3.88 Min: 3.61 / Avg: 3.68 / Max: 3.83 Min: 3.28 / Avg: 3.32 / Max: 3.48
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 0.0907 0.1814 0.2721 0.3628 0.4535 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 SE +/- 0.004, N = 3 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 SE +/- 0.003, N = 3 SE +/- 0.002, N = 3 SE +/- 0.005, N = 3 SE +/- 0.000, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 SE +/- 0.005, N = 3 SE +/- 0.004, N = 3 SE +/- 0.002, N = 3 SE +/- 0.003, N = 3 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 0.348 0.363 0.400 0.403 0.364 0.341 0.368 0.374 0.351 0.351 0.346 0.348 0.390 0.373 0.343 0.350 0.348 0.351 0.353 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 1 2 3 4 5 Min: 0.34 / Avg: 0.35 / Max: 0.35 Min: 0.36 / Avg: 0.36 / Max: 0.37 Min: 0.4 / Avg: 0.4 / Max: 0.41 Min: 0.4 / Avg: 0.4 / Max: 0.41 Min: 0.36 / Avg: 0.36 / Max: 0.37 Min: 0.33 / Avg: 0.34 / Max: 0.35 Min: 0.37 / Avg: 0.37 / Max: 0.37 Min: 0.37 / Avg: 0.37 / Max: 0.38 Min: 0.35 / 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: 0.34 / Avg: 0.35 / Max: 0.35 Min: 0.38 / Avg: 0.39 / Max: 0.4 Min: 0.37 / Avg: 0.37 / Max: 0.38 Min: 0.34 / Avg: 0.34 / Max: 0.35 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: 0.36 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 3K 6K 9K 12K 15K SE +/- 19.40, N = 3 SE +/- 11.14, N = 3 SE +/- 45.96, N = 3 SE +/- 101.77, N = 3 SE +/- 57.25, N = 3 SE +/- 99.28, N = 3 SE +/- 26.03, N = 3 SE +/- 16.29, N = 3 SE +/- 91.46, N = 3 SE +/- 17.82, N = 3 SE +/- 23.39, N = 3 SE +/- 61.76, N = 3 SE +/- 44.12, N = 3 SE +/- 24.18, N = 3 SE +/- 16.44, N = 3 SE +/- 14.15, N = 3 SE +/- 101.29, N = 11 SE +/- 12.03, N = 3 SE +/- 20.22, N = 3 SE +/- 12.57, N = 3 11652 11081 11856 10973 11146 11671 10901 11459 13599 11589 13536 11488 11070 11486 11650 11476 11479 11511 11708 12827 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 2K 4K 6K 8K 10K Min: 11623 / Avg: 11652.33 / Max: 11689 Min: 11059 / Avg: 11081 / Max: 11095 Min: 11771 / Avg: 11855.67 / Max: 11929 Min: 10770 / Avg: 10973.33 / Max: 11083 Min: 11050 / Avg: 11145.67 / Max: 11248 Min: 11474 / Avg: 11671 / Max: 11791 Min: 10858 / Avg: 10901.33 / Max: 10948 Min: 11427 / Avg: 11459.33 / Max: 11479 Min: 13417 / Avg: 13598.67 / Max: 13708 Min: 11567 / Avg: 11588.67 / Max: 11624 Min: 13491 / Avg: 13536.33 / Max: 13569 Min: 11390 / Avg: 11487.67 / Max: 11602 Min: 11001 / Avg: 11069.67 / Max: 11152 Min: 11452 / Avg: 11486.33 / Max: 11533 Min: 11625 / Avg: 11650 / Max: 11681 Min: 11452 / Avg: 11476.33 / Max: 11501 Min: 10588 / Avg: 11479.45 / Max: 11738 Min: 11493 / Avg: 11511.33 / Max: 11534 Min: 11668 / Avg: 11708.33 / Max: 11731 Min: 12803 / Avg: 12827.33 / Max: 12845 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 400 800 1200 1600 2000 SE +/- 8.18, N = 5 SE +/- 7.81, N = 5 SE +/- 7.90, N = 5 SE +/- 9.93, N = 5 SE +/- 7.02, N = 5 SE +/- 6.83, N = 5 SE +/- 4.60, N = 5 SE +/- 11.71, N = 5 SE +/- 3.83, N = 5 SE +/- 9.80, N = 5 SE +/- 5.86, N = 5 SE +/- 6.15, N = 5 SE +/- 4.09, N = 5 SE +/- 2.12, N = 5 SE +/- 5.82, N = 5 SE +/- 6.49, N = 5 SE +/- 7.96, N = 5 SE +/- 10.78, N = 5 SE +/- 8.93, N = 5 SE +/- 4.09, N = 5 1796.32 1858.15 1778.59 1888.05 1840.49 1762.01 1887.64 1843.43 1598.01 1785.43 1575.17 1827.54 1963.09 1802.11 1780.00 1838.71 1821.92 1837.63 1786.25 1643.61
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better Renaissance 0.10.0 Test: Scala Dotty EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 300 600 900 1200 1500 Min: 1777.39 / Avg: 1796.32 / Max: 1818.83 Min: 1843.06 / Avg: 1858.15 / Max: 1881.85 Min: 1763.98 / Avg: 1778.58 / Max: 1801.84 Min: 1872.26 / Avg: 1888.05 / Max: 1924.57 Min: 1821.78 / Avg: 1840.49 / Max: 1861.9 Min: 1750.8 / Avg: 1762.01 / Max: 1788.05 Min: 1875.72 / Avg: 1887.64 / Max: 1899.29 Min: 1814.21 / Avg: 1843.43 / Max: 1871.61 Min: 1590.06 / Avg: 1598.01 / Max: 1608.27 Min: 1761.02 / Avg: 1785.43 / Max: 1812.16 Min: 1556.35 / Avg: 1575.17 / Max: 1589.78 Min: 1810.41 / Avg: 1827.54 / Max: 1846.46 Min: 1949.67 / Avg: 1963.09 / Max: 1972.52 Min: 1794.77 / Avg: 1802.11 / Max: 1807.79 Min: 1771.68 / Avg: 1780 / Max: 1802.96 Min: 1823.01 / Avg: 1838.71 / Max: 1861.54 Min: 1806.27 / Avg: 1821.92 / Max: 1850.88 Min: 1806.07 / Avg: 1837.63 / Max: 1863.6 Min: 1767.26 / Avg: 1786.25 / Max: 1808.33 Min: 1636.18 / Avg: 1643.61 / Max: 1658.12
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 20 40 60 80 100 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 SE +/- 0.18, N = 3 SE +/- 0.10, N = 3 SE +/- 0.03, N = 3 SE +/- 0.12, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.14, N = 3 SE +/- 0.08, N = 3 SE +/- 0.14, N = 3 SE +/- 0.08, N = 3 70.40 72.33 68.38 71.91 72.09 69.10 74.53 72.29 60.83 70.43 59.91 71.43 72.00 70.56 69.97 72.04 70.56 71.37 70.14 64.06
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Wavelet Blur EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 14 28 42 56 70 Min: 70.36 / Avg: 70.4 / Max: 70.47 Min: 72.24 / Avg: 72.33 / Max: 72.4 Min: 68.36 / Avg: 68.38 / Max: 68.4 Min: 71.85 / Avg: 71.91 / Max: 72.03 Min: 72.06 / Avg: 72.09 / Max: 72.16 Min: 68.96 / Avg: 69.1 / Max: 69.25 Min: 74.42 / Avg: 74.53 / Max: 74.6 Min: 72.21 / Avg: 72.29 / Max: 72.38 Min: 60.48 / Avg: 60.83 / Max: 61.01 Min: 70.28 / Avg: 70.43 / Max: 70.62 Min: 59.85 / Avg: 59.91 / Max: 59.97 Min: 71.31 / Avg: 71.43 / Max: 71.67 Min: 71.94 / Avg: 72 / Max: 72.06 Min: 70.47 / Avg: 70.56 / Max: 70.62 Min: 69.89 / Avg: 69.97 / Max: 70.06 Min: 71.98 / Avg: 72.04 / Max: 72.07 Min: 70.31 / Avg: 70.56 / Max: 70.8 Min: 71.2 / Avg: 71.37 / Max: 71.46 Min: 69.89 / Avg: 70.14 / Max: 70.38 Min: 63.9 / Avg: 64.06 / Max: 64.16
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7502P EPYC 7F72 2 4 6 8 10 SE +/- 0.017, N = 3 SE +/- 0.014, N = 3 SE +/- 0.011, N = 3 SE +/- 0.032, N = 3 SE +/- 0.009, N = 3 SE +/- 0.014, N = 3 SE +/- 0.024, N = 3 SE +/- 0.017, N = 3 SE +/- 0.004, N = 3 SE +/- 0.023, N = 3 SE +/- 0.011, N = 3 SE +/- 0.016, N = 3 SE +/- 0.008, N = 3 SE +/- 0.020, N = 3 SE +/- 0.017, N = 3 SE +/- 0.020, N = 3 5.803 5.905 5.924 6.258 5.840 5.722 6.169 5.940 5.031 5.846 5.231 6.233 5.715 5.826 5.820 5.562 1. (CXX) g++ options: -O3 -fPIC
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.7.3 Encoder Speed: 10 EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7502P EPYC 7F72 3 6 9 12 15 Min: 5.78 / Avg: 5.8 / Max: 5.84 Min: 5.89 / Avg: 5.91 / Max: 5.93 Min: 5.91 / Avg: 5.92 / Max: 5.95 Min: 6.2 / Avg: 6.26 / Max: 6.31 Min: 5.83 / Avg: 5.84 / Max: 5.86 Min: 5.7 / Avg: 5.72 / Max: 5.75 Min: 6.13 / Avg: 6.17 / Max: 6.21 Min: 5.91 / Avg: 5.94 / Max: 5.97 Min: 5.03 / Avg: 5.03 / Max: 5.04 Min: 5.81 / Avg: 5.85 / Max: 5.89 Min: 5.21 / Avg: 5.23 / Max: 5.25 Min: 6.21 / Avg: 6.23 / Max: 6.26 Min: 5.7 / Avg: 5.72 / Max: 5.73 Min: 5.79 / Avg: 5.83 / Max: 5.85 Min: 5.8 / Avg: 5.82 / Max: 5.85 Min: 5.53 / Avg: 5.56 / Max: 5.6 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 5 10 15 20 25 SE +/- 0.13, N = 3 SE +/- 0.21, N = 3 SE +/- 0.15, N = 3 SE +/- 0.11, N = 3 SE +/- 0.13, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.12, N = 3 SE +/- 0.11, N = 3 SE +/- 0.13, N = 3 SE +/- 0.13, N = 3 SE +/- 0.14, N = 3 SE +/- 0.12, N = 3 SE +/- 0.11, N = 3 SE +/- 0.07, N = 3 SE +/- 0.13, N = 3 SE +/- 0.02, N = 3 SE +/- 0.15, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 20.78 21.90 20.64 22.17 21.72 20.60 21.81 21.08 18.00 20.82 18.12 21.05 22.37 21.22 20.91 21.02 21.01 21.14 20.93 19.02 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 5 10 15 20 25 Min: 20.52 / Avg: 20.78 / Max: 20.95 Min: 21.53 / Avg: 21.9 / Max: 22.27 Min: 20.34 / Avg: 20.64 / Max: 20.82 Min: 21.96 / Avg: 22.17 / Max: 22.31 Min: 21.57 / Avg: 21.72 / Max: 21.97 Min: 20.54 / Avg: 20.6 / Max: 20.64 Min: 21.8 / Avg: 21.81 / Max: 21.84 Min: 20.84 / Avg: 21.08 / Max: 21.24 Min: 17.78 / Avg: 18 / Max: 18.13 Min: 20.55 / Avg: 20.82 / Max: 20.97 Min: 17.87 / Avg: 18.12 / Max: 18.32 Min: 20.78 / Avg: 21.05 / Max: 21.2 Min: 22.22 / Avg: 22.37 / Max: 22.61 Min: 20.99 / Avg: 21.22 / Max: 21.35 Min: 20.78 / Avg: 20.91 / Max: 21 Min: 20.88 / Avg: 21.02 / Max: 21.28 Min: 20.99 / Avg: 21.01 / Max: 21.04 Min: 20.84 / Avg: 21.14 / Max: 21.35 Min: 20.89 / Avg: 20.92 / Max: 20.96 Min: 19.01 / Avg: 19.02 / Max: 19.03 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 130 260 390 520 650 SE +/- 1.33, N = 3 SE +/- 1.86, N = 3 SE +/- 1.00, N = 3 SE +/- 0.33, N = 3 SE +/- 1.45, N = 3 SE +/- 2.31, N = 3 SE +/- 0.58, N = 3 SE +/- 0.88, N = 3 SE +/- 0.88, N = 3 SE +/- 0.58, N = 3 SE +/- 0.33, N = 3 SE +/- 0.58, N = 3 SE +/- 1.20, N = 3 SE +/- 1.86, N = 3 SE +/- 1.20, N = 3 SE +/- 1.76, N = 3 SE +/- 1.20, N = 3 552 575 541 577 575 544 585 561 474 552 471 558 576 559 551 571 554 561 550 500
Result Confidence
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: raytrace EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 100 200 300 400 500 Min: 551 / Avg: 552.33 / Max: 555 Min: 571 / Avg: 574.67 / Max: 577 Min: 540 / Avg: 541 / Max: 543 Min: 576 / Avg: 576.67 / Max: 577 Min: 573 / Avg: 575.33 / Max: 578 Min: 540 / Avg: 544 / Max: 548 Min: 584 / Avg: 585 / Max: 586 Min: 560 / Avg: 561.33 / Max: 563 Min: 473 / Avg: 474.33 / Max: 476 Min: 551 / Avg: 552 / Max: 553 Min: 471 / Avg: 471.33 / Max: 472 Min: 575 / Avg: 576 / Max: 577 Min: 557 / Avg: 558.67 / Max: 561 Min: 549 / Avg: 551.33 / Max: 555 Min: 569 / Avg: 570.67 / Max: 573 Min: 551 / Avg: 554.33 / Max: 557 Min: 548 / Avg: 550.33 / Max: 552
Result
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: pathlib EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 5 10 15 20 25 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 +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 20.3 21.3 20.2 21.5 21.2 20.0 21.6 20.5 17.4 20.2 17.5 20.3 21.6 20.5 20.0 20.5 20.5 20.5 20.1 18.9
Result Confidence
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: pathlib EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 5 10 15 20 25 Min: 20.3 / Avg: 20.33 / Max: 20.4 Min: 21.2 / Avg: 21.27 / Max: 21.3 Min: 20.1 / Avg: 20.17 / Max: 20.2 Min: 21.5 / Avg: 21.53 / Max: 21.6 Min: 21.2 / Avg: 21.2 / Max: 21.2 Min: 21.6 / Avg: 21.6 / Max: 21.6 Min: 20.5 / Avg: 20.53 / Max: 20.6 Min: 17.3 / Avg: 17.37 / Max: 17.4 Min: 20.2 / Avg: 20.2 / Max: 20.2 Min: 17.5 / Avg: 17.5 / Max: 17.5 Min: 20.3 / Avg: 20.3 / Max: 20.3 Min: 21.5 / Avg: 21.57 / Max: 21.6 Min: 20.5 / Avg: 20.5 / Max: 20.5 Min: 20.5 / Avg: 20.5 / Max: 20.5 Min: 20.4 / Avg: 20.47 / Max: 20.5 Min: 20.5 / Avg: 20.53 / Max: 20.6 Min: 20.1 / Avg: 20.1 / Max: 20.1 Min: 18.9 / Avg: 18.93 / Max: 19
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 3 6 9 12 15 SE +/- 0.004, N = 3 SE +/- 0.014, N = 3 SE +/- 0.037, N = 3 SE +/- 0.026, N = 3 SE +/- 0.007, N = 3 SE +/- 0.003, N = 3 SE +/- 0.022, N = 3 SE +/- 0.012, N = 3 SE +/- 0.006, N = 3 SE +/- 0.007, N = 3 SE +/- 0.008, N = 3 SE +/- 0.007, N = 3 SE +/- 0.001, N = 3 SE +/- 0.009, N = 3 SE +/- 0.005, N = 3 SE +/- 0.005, N = 3 SE +/- 0.005, N = 3 SE +/- 0.019, N = 3 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 9.435 9.964 9.449 10.003 9.885 9.295 10.102 9.633 8.138 9.441 8.174 9.589 9.878 9.578 9.436 9.591 9.477 9.591 9.435 8.552 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 3 6 9 12 15 Min: 9.43 / Avg: 9.44 / Max: 9.44 Min: 9.95 / Avg: 9.96 / Max: 9.99 Min: 9.4 / Avg: 9.45 / Max: 9.52 Min: 9.97 / Avg: 10 / Max: 10.06 Min: 9.88 / Avg: 9.88 / Max: 9.9 Min: 9.29 / Avg: 9.3 / Max: 9.3 Min: 10.06 / Avg: 10.1 / Max: 10.13 Min: 9.61 / Avg: 9.63 / Max: 9.65 Min: 8.13 / Avg: 8.14 / Max: 8.15 Min: 9.43 / Avg: 9.44 / Max: 9.45 Min: 8.16 / Avg: 8.17 / Max: 8.19 Min: 9.57 / Avg: 9.59 / Max: 9.6 Min: 9.88 / Avg: 9.88 / Max: 9.88 Min: 9.56 / Avg: 9.58 / Max: 9.59 Min: 9.43 / Avg: 9.44 / Max: 9.45 Min: 9.58 / Avg: 9.59 / Max: 9.6 Min: 9.47 / Avg: 9.48 / Max: 9.48 Min: 9.57 / Avg: 9.59 / Max: 9.63 Min: 9.43 / Avg: 9.43 / Max: 9.44 Min: 8.55 / Avg: 8.55 / Max: 8.56 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 0.2947 0.5894 0.8841 1.1788 1.4735 SE +/- 0.000599, N = 3 SE +/- 0.003246, N = 3 SE +/- 0.004902, N = 3 SE +/- 0.003378, N = 3 SE +/- 0.003026, N = 3 SE +/- 0.000067, N = 3 SE +/- 0.000758, N = 3 SE +/- 0.003502, N = 3 SE +/- 0.000910, N = 3 SE +/- 0.000499, N = 3 SE +/- 0.002177, N = 3 SE +/- 0.003407, N = 3 SE +/- 0.001278, N = 3 SE +/- 0.001157, N = 3 SE +/- 0.000237, N = 3 SE +/- 0.000236, N = 3 SE +/- 0.001369, N = 3 SE +/- 0.001818, N = 3 SE +/- 0.000831, N = 3 SE +/- 0.002331, N = 3 1.227227 1.292170 1.217988 1.309975 1.284880 1.207137 1.305372 1.251942 1.055572 1.226732 1.059790 1.248408 1.304260 1.244002 1.228600 1.244588 1.231897 1.249168 1.242573 1.115877 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 2 4 6 8 10 Min: 1.23 / Avg: 1.23 / Max: 1.23 Min: 1.29 / Avg: 1.29 / Max: 1.3 Min: 1.21 / Avg: 1.22 / Max: 1.22 Min: 1.3 / Avg: 1.31 / Max: 1.32 Min: 1.28 / Avg: 1.28 / Max: 1.29 Min: 1.21 / Avg: 1.21 / Max: 1.21 Min: 1.3 / Avg: 1.31 / Max: 1.31 Min: 1.25 / Avg: 1.25 / Max: 1.26 Min: 1.05 / Avg: 1.06 / Max: 1.06 Min: 1.23 / Avg: 1.23 / Max: 1.23 Min: 1.06 / Avg: 1.06 / Max: 1.06 Min: 1.24 / Avg: 1.25 / Max: 1.26 Min: 1.3 / Avg: 1.3 / Max: 1.31 Min: 1.24 / Avg: 1.24 / Max: 1.25 Min: 1.23 / Avg: 1.23 / Max: 1.23 Min: 1.24 / Avg: 1.24 / Max: 1.25 Min: 1.23 / Avg: 1.23 / Max: 1.23 Min: 1.25 / Avg: 1.25 / Max: 1.25 Min: 1.24 / Avg: 1.24 / Max: 1.24 Min: 1.11 / Avg: 1.12 / Max: 1.12 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 2K 4K 6K 8K 10K SE +/- 5.42, N = 3 SE +/- 19.95, N = 3 SE +/- 16.82, N = 3 SE +/- 14.33, N = 3 SE +/- 17.03, N = 3 SE +/- 8.69, N = 3 SE +/- 10.11, N = 3 SE +/- 6.46, N = 3 SE +/- 14.12, N = 3 SE +/- 8.47, N = 3 SE +/- 8.20, N = 3 SE +/- 4.22, N = 3 SE +/- 12.66, N = 3 SE +/- 45.24, N = 3 SE +/- 16.43, N = 3 SE +/- 10.39, N = 3 SE +/- 42.92, N = 3 SE +/- 3.40, N = 3 SE +/- 2.98, N = 3 SE +/- 3.40, N = 3 6785.7 6434.6 6868.2 6408.3 6480.9 6880.4 6365.7 6689.9 7899.6 6773.0 7878.3 6686.3 6485.8 6648.8 6787.6 6680.9 6674.8 6679.4 6787.9 7482.1 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 1400 2800 4200 5600 7000 Min: 6778.9 / Avg: 6785.7 / Max: 6796.4 Min: 6412.7 / Avg: 6434.57 / Max: 6474.4 Min: 6847.8 / Avg: 6868.23 / Max: 6901.6 Min: 6384 / Avg: 6408.33 / Max: 6433.6 Min: 6450.1 / Avg: 6480.9 / Max: 6508.9 Min: 6871 / Avg: 6880.43 / Max: 6897.8 Min: 6350.8 / Avg: 6365.73 / Max: 6385 Min: 6677.1 / Avg: 6689.87 / Max: 6698 Min: 7873.7 / Avg: 7899.6 / Max: 7922.3 Min: 6757.4 / Avg: 6773.03 / Max: 6786.5 Min: 7861.9 / Avg: 7878.3 / Max: 7886.5 Min: 6678.5 / Avg: 6686.27 / Max: 6693 Min: 6460.7 / Avg: 6485.83 / Max: 6501.1 Min: 6558.4 / Avg: 6648.77 / Max: 6697.7 Min: 6754.8 / Avg: 6787.57 / Max: 6806 Min: 6660.1 / Avg: 6680.87 / Max: 6692 Min: 6625.4 / Avg: 6674.8 / Max: 6760.3 Min: 6672.8 / Avg: 6679.4 / Max: 6684.1 Min: 6782.5 / Avg: 6787.9 / Max: 6792.8 Min: 7476.9 / Avg: 7482.1 / Max: 7488.5 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 1100 2200 3300 4400 5500 SE +/- 2.04, N = 3 SE +/- 5.52, N = 3 SE +/- 2.02, N = 3 SE +/- 5.64, N = 3 SE +/- 0.46, N = 3 SE +/- 0.70, N = 3 SE +/- 4.52, N = 3 SE +/- 0.73, N = 3 SE +/- 0.17, N = 3 SE +/- 0.49, N = 3 SE +/- 11.63, N = 3 SE +/- 7.30, N = 3 SE +/- 0.40, N = 3 SE +/- 0.37, N = 3 SE +/- 0.72, N = 3 SE +/- 0.50, N = 3 SE +/- 3.59, N = 3 SE +/- 1.01, N = 3 SE +/- 0.43, N = 3 SE +/- 0.45, N = 3 4470.35 4247.54 4535.60 4230.65 4272.70 4538.40 4195.41 4405.46 5205.65 4472.15 5165.05 4397.19 4273.08 4406.41 4472.73 4405.75 4458.22 4403.81 4472.13 4938.52 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 900 1800 2700 3600 4500 Min: 4466.28 / Avg: 4470.35 / Max: 4472.69 Min: 4237.16 / Avg: 4247.54 / Max: 4256 Min: 4531.58 / Avg: 4535.6 / Max: 4537.98 Min: 4224.18 / Avg: 4230.65 / Max: 4241.89 Min: 4271.85 / Avg: 4272.7 / Max: 4273.41 Min: 4537.09 / Avg: 4538.4 / Max: 4539.48 Min: 4186.38 / Avg: 4195.41 / Max: 4200.32 Min: 4404.07 / Avg: 4405.46 / Max: 4406.52 Min: 5205.31 / Avg: 5205.65 / Max: 5205.87 Min: 4471.19 / Avg: 4472.15 / Max: 4472.78 Min: 5141.81 / Avg: 5165.05 / Max: 5177.6 Min: 4382.74 / Avg: 4397.19 / Max: 4406.2 Min: 4272.36 / Avg: 4273.08 / Max: 4273.74 Min: 4405.81 / Avg: 4406.41 / Max: 4407.1 Min: 4471.91 / Avg: 4472.73 / Max: 4474.16 Min: 4404.93 / Avg: 4405.75 / Max: 4406.67 Min: 4454.33 / Avg: 4458.22 / Max: 4465.38 Min: 4401.81 / Avg: 4403.81 / Max: 4405.07 Min: 4471.27 / Avg: 4472.13 / Max: 4472.64 Min: 4937.84 / Avg: 4938.52 / Max: 4939.37 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 0.6466 1.2932 1.9398 2.5864 3.233 SE +/- 0.000407, N = 3 SE +/- 0.005844, N = 3 SE +/- 0.000749, N = 3 SE +/- 0.009831, N = 3 SE +/- 0.003750, N = 3 SE +/- 0.000667, N = 3 SE +/- 0.002457, N = 3 SE +/- 0.001823, N = 3 SE +/- 0.001325, N = 3 SE +/- 0.003514, N = 3 SE +/- 0.006708, N = 3 SE +/- 0.006182, N = 3 SE +/- 0.002642, N = 3 SE +/- 0.003016, N = 3 SE +/- 0.002052, N = 3 SE +/- 0.001561, N = 3 SE +/- 0.001274, N = 3 SE +/- 0.002314, N = 3 SE +/- 0.001364, N = 3 SE +/- 0.004888, N = 3 2.693092 2.837977 2.690606 2.873772 2.834173 2.655180 2.868562 2.768810 2.316262 2.696217 2.331713 2.740470 2.839029 2.735240 2.696305 2.732245 2.715117 2.740498 2.709800 2.449580 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 2 4 6 8 10 Min: 2.69 / Avg: 2.69 / Max: 2.69 Min: 2.83 / Avg: 2.84 / Max: 2.85 Min: 2.69 / Avg: 2.69 / Max: 2.69 Min: 2.86 / Avg: 2.87 / Max: 2.89 Min: 2.83 / Avg: 2.83 / Max: 2.84 Min: 2.65 / Avg: 2.66 / Max: 2.66 Min: 2.86 / Avg: 2.87 / Max: 2.87 Min: 2.77 / Avg: 2.77 / Max: 2.77 Min: 2.31 / Avg: 2.32 / Max: 2.32 Min: 2.69 / Avg: 2.7 / Max: 2.7 Min: 2.32 / Avg: 2.33 / Max: 2.34 Min: 2.73 / Avg: 2.74 / Max: 2.75 Min: 2.83 / Avg: 2.84 / Max: 2.84 Min: 2.73 / Avg: 2.74 / Max: 2.74 Min: 2.69 / Avg: 2.7 / Max: 2.7 Min: 2.73 / Avg: 2.73 / Max: 2.73 Min: 2.71 / Avg: 2.72 / Max: 2.72 Min: 2.74 / Avg: 2.74 / Max: 2.74 Min: 2.71 / Avg: 2.71 / Max: 2.71 Min: 2.44 / Avg: 2.45 / Max: 2.46 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 90 180 270 360 450 SE +/- 0.13, N = 3 SE +/- 0.27, N = 3 SE +/- 0.10, N = 3 SE +/- 0.24, N = 3 SE +/- 0.02, N = 3 SE +/- 0.29, N = 3 SE +/- 0.34, N = 3 SE +/- 4.59, N = 4 SE +/- 0.17, N = 3 SE +/- 0.11, N = 3 SE +/- 0.85, N = 3 SE +/- 0.24, N = 3 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 SE +/- 0.28, N = 3 SE +/- 0.09, N = 3 SE +/- 0.52, N = 3 SE +/- 0.11, N = 3 SE +/- 0.06, N = 3 SE +/- 0.08, N = 3 364.82 345.62 369.89 344.85 348.10 370.17 341.93 354.73 424.12 364.53 420.08 358.90 348.20 359.12 364.33 359.14 362.64 359.12 364.47 402.57 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 80 160 240 320 400 Min: 364.58 / Avg: 364.82 / Max: 365.03 Min: 345.16 / Avg: 345.62 / Max: 346.1 Min: 369.74 / Avg: 369.89 / Max: 370.08 Min: 344.39 / Avg: 344.85 / Max: 345.2 Min: 348.07 / Avg: 348.1 / Max: 348.12 Min: 369.59 / Avg: 370.17 / Max: 370.5 Min: 341.43 / Avg: 341.93 / Max: 342.57 Min: 340.96 / Avg: 354.73 / Max: 359.49 Min: 423.79 / Avg: 424.12 / Max: 424.37 Min: 364.38 / Avg: 364.53 / Max: 364.74 Min: 419.22 / Avg: 420.08 / Max: 421.77 Min: 358.44 / Avg: 358.9 / Max: 359.26 Min: 348.13 / Avg: 348.2 / Max: 348.25 Min: 358.96 / Avg: 359.12 / Max: 359.25 Min: 363.76 / Avg: 364.33 / Max: 364.62 Min: 359.02 / Avg: 359.14 / Max: 359.3 Min: 361.93 / Avg: 362.64 / Max: 363.65 Min: 358.94 / Avg: 359.12 / Max: 359.32 Min: 364.4 / Avg: 364.47 / Max: 364.59 Min: 402.41 / Avg: 402.57 / Max: 402.69 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 5 10 15 20 25 19.26 20.20 18.95 20.25 20.15 19.00 20.50 19.57 16.53 19.28 16.58 19.53 20.21 19.55 19.27 19.52 19.34 19.62 19.28 17.48
OpenBenchmarking.org Seconds, Fewer Is Better Polyhedron Fortran Benchmarks Benchmark: protein EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 4 8 12 16 20 15.90 16.76 15.67 16.83 16.66 15.67 16.94 16.15 13.66 15.88 13.78 16.15 16.63 16.13 15.89 16.15 15.97 16.15 15.89 14.41
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 2K 4K 6K 8K 10K SE +/- 34.91, N = 3 SE +/- 18.94, N = 3 SE +/- 24.57, N = 3 SE +/- 64.79, N = 13 SE +/- 13.57, N = 3 SE +/- 9.46, N = 3 SE +/- 35.37, N = 3 SE +/- 26.37, N = 3 SE +/- 14.56, N = 3 SE +/- 11.00, N = 3 SE +/- 17.77, N = 3 SE +/- 25.12, N = 3 SE +/- 18.98, N = 3 SE +/- 26.00, N = 3 SE +/- 15.10, N = 3 SE +/- 11.62, N = 3 SE +/- 120.96, N = 12 SE +/- 25.41, N = 3 SE +/- 17.27, N = 3 SE +/- 6.72, N = 3 8134.5 7723.8 8220.9 7654.3 7730.8 8216.8 7612.7 8026.0 9439.3 8120.4 9421.5 8006.0 7745.0 7995.0 8109.5 7949.4 7964.4 8020.3 8099.7 8920.8 1. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm
Result Confidence
OpenBenchmarking.org Mflops, More Is Better FFTW 3.3.6 Build: Stock - Size: 1D FFT Size 32 EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 1600 3200 4800 6400 8000 Min: 8082.8 / Avg: 8134.5 / Max: 8201 Min: 7692.6 / Avg: 7723.83 / Max: 7758 Min: 8173.5 / Avg: 8220.87 / Max: 8255.9 Min: 6879.1 / Avg: 7654.31 / Max: 7742 Min: 7709 / Avg: 7730.8 / Max: 7755.7 Min: 8199 / Avg: 8216.83 / Max: 8231.2 Min: 7570.9 / Avg: 7612.67 / Max: 7683 Min: 7994.6 / Avg: 8026 / Max: 8078.4 Min: 9411 / Avg: 9439.3 / Max: 9459.4 Min: 8098.4 / Avg: 8120.37 / Max: 8132.3 Min: 9400.9 / Avg: 9421.53 / Max: 9456.9 Min: 7973.4 / Avg: 8006 / Max: 8055.4 Min: 7711.3 / Avg: 7744.97 / Max: 7777 Min: 7964.9 / Avg: 7995.03 / Max: 8046.8 Min: 8082.1 / Avg: 8109.47 / Max: 8134.2 Min: 7926.3 / Avg: 7949.4 / Max: 7963.1 Min: 6641.2 / Avg: 7964.4 / Max: 8138.6 Min: 7974 / Avg: 8020.27 / Max: 8061.6 Min: 8080.9 / Avg: 8099.7 / Max: 8134.2 Min: 8907.4 / Avg: 8920.77 / Max: 8928.6 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 3 6 9 12 15 SE +/- 0.017, N = 3 SE +/- 0.023, N = 3 SE +/- 0.020, N = 3 SE +/- 0.027, N = 3 SE +/- 0.036, N = 3 SE +/- 0.028, N = 3 SE +/- 0.012, N = 3 SE +/- 0.047, N = 3 SE +/- 0.016, N = 3 SE +/- 0.022, N = 3 SE +/- 0.042, N = 3 SE +/- 0.036, N = 3 SE +/- 0.027, N = 3 SE +/- 0.022, N = 3 SE +/- 0.027, N = 3 SE +/- 0.010, N = 3 SE +/- 0.010, N = 3 SE +/- 0.022, N = 3 SE +/- 0.018, N = 3 SE +/- 0.025, N = 3 10.430 11.013 10.193 10.904 10.855 10.280 11.105 10.607 8.957 10.352 9.016 10.506 10.909 10.508 10.352 10.512 10.508 10.582 10.407 9.480
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Bork File Encrypter 1.4 File Encryption Time EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 3 6 9 12 15 Min: 10.4 / Avg: 10.43 / Max: 10.45 Min: 10.97 / Avg: 11.01 / Max: 11.05 Min: 10.15 / Avg: 10.19 / Max: 10.22 Min: 10.85 / Avg: 10.9 / Max: 10.93 Min: 10.78 / Avg: 10.86 / Max: 10.9 Min: 10.24 / Avg: 10.28 / Max: 10.33 Min: 11.08 / Avg: 11.11 / Max: 11.12 Min: 10.52 / Avg: 10.61 / Max: 10.67 Min: 8.93 / Avg: 8.96 / Max: 8.98 Min: 10.31 / Avg: 10.35 / Max: 10.38 Min: 8.97 / Avg: 9.02 / Max: 9.1 Min: 10.44 / Avg: 10.51 / Max: 10.57 Min: 10.86 / Avg: 10.91 / Max: 10.95 Min: 10.47 / Avg: 10.51 / Max: 10.55 Min: 10.3 / Avg: 10.35 / Max: 10.38 Min: 10.5 / Avg: 10.51 / Max: 10.53 Min: 10.49 / Avg: 10.51 / Max: 10.53 Min: 10.54 / Avg: 10.58 / Max: 10.62 Min: 10.38 / Avg: 10.41 / Max: 10.44 Min: 9.44 / Avg: 9.48 / Max: 9.53
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 300K 600K 900K 1200K 1500K SE +/- 936.97, N = 5 SE +/- 1633.10, N = 5 SE +/- 1036.47, N = 5 SE +/- 1769.79, N = 5 SE +/- 673.05, N = 5 SE +/- 968.31, N = 5 SE +/- 1494.44, N = 5 SE +/- 910.04, N = 5 SE +/- 1687.74, N = 5 SE +/- 736.20, N = 5 SE +/- 3053.58, N = 5 SE +/- 913.57, N = 5 SE +/- 1232.94, N = 5 SE +/- 567.47, N = 5 SE +/- 903.80, N = 5 SE +/- 712.78, N = 5 SE +/- 893.15, N = 5 SE +/- 567.47, N = 5 SE +/- 823.10, N = 5 SE +/- 551.87, N = 5 1005806 957219 1019963 950613 962227 1022993 944092 991681 1170383 1005805 1163483 993111 960888 994185 1007278 991322 1002876 994185 1006909 1114034 1. (CC) gcc options: -O3 -march=native
Result Confidence
OpenBenchmarking.org Nodes Per Second, More Is Better TSCP 1.81 AI Chess Performance EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 200K 400K 600K 800K 1000K Min: 1003238 / Avg: 1005806.4 / Max: 1008750 Min: 952903 / Avg: 957219.4 / Max: 962898 Min: 1018073 / Avg: 1019962.8 / Max: 1023750 Min: 946353 / Avg: 950613.2 / Max: 956211 Min: 961218 / Avg: 962227.2 / Max: 964584 Min: 1019959 / Avg: 1022993.4 / Max: 1025657 Min: 938293 / Avg: 944091.8 / Max: 946353 Min: 988829 / Avg: 991680.8 / Max: 994184 Min: 1166902 / Avg: 1170383.2 / Max: 1174366 Min: 1005069 / Avg: 1005805.2 / Max: 1008750 Min: 1152255 / Avg: 1163483.4 / Max: 1169380 Min: 990607 / Avg: 993111.2 / Max: 995981 Min: 957874 / Avg: 960888.4 / Max: 964584 Min: 992392 / Avg: 994185 / Max: 995981 Min: 1005069 / Avg: 1007277.6 / Max: 1010601 Min: 988829 / Avg: 991322.4 / Max: 992392 Min: 999597 / Avg: 1002876 / Max: 1005069 Min: 992392 / Avg: 994185 / Max: 995981 Min: 1005069 / Avg: 1006908.8 / Max: 1008750 Min: 1112682 / Avg: 1114033.8 / Max: 1114935 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 12 24 36 48 60 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.11, N = 3 SE +/- 0.12, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.09, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.21, N = 3 SE +/- 0.04, N = 3 SE +/- 0.07, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 51.47 54.25 51.69 54.98 53.86 50.71 54.77 52.40 44.35 51.50 44.72 52.55 53.86 52.24 51.46 52.25 51.76 52.33 51.41 46.62 1. (CC) gcc options: -lm
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better dcraw RAW To PPM Image Conversion EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 11 22 33 44 55 Min: 51.42 / Avg: 51.47 / Max: 51.52 Min: 54.1 / Avg: 54.25 / Max: 54.35 Min: 51.52 / Avg: 51.69 / Max: 51.89 Min: 54.79 / Avg: 54.98 / Max: 55.21 Min: 53.76 / Avg: 53.86 / Max: 53.91 Min: 50.68 / Avg: 50.71 / Max: 50.77 Min: 54.75 / Avg: 54.77 / Max: 54.79 Min: 52.36 / Avg: 52.4 / Max: 52.45 Min: 44.25 / Avg: 44.35 / Max: 44.54 Min: 51.37 / Avg: 51.49 / Max: 51.57 Min: 44.68 / Avg: 44.72 / Max: 44.77 Min: 52.24 / Avg: 52.55 / Max: 52.95 Min: 53.81 / Avg: 53.86 / Max: 53.94 Min: 52.14 / Avg: 52.24 / Max: 52.38 Min: 51.42 / Avg: 51.46 / Max: 51.5 Min: 52.18 / Avg: 52.25 / Max: 52.33 Min: 51.75 / Avg: 51.76 / Max: 51.79 Min: 52.31 / Avg: 52.33 / Max: 52.37 Min: 51.4 / Avg: 51.41 / Max: 51.41 Min: 46.59 / Avg: 46.62 / Max: 46.66 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 130K 260K 390K 520K 650K SE +/- 1399.56, N = 3 SE +/- 3427.90, N = 3 SE +/- 2718.70, N = 3 SE +/- 3277.70, N = 3 SE +/- 2863.87, N = 3 SE +/- 2113.07, N = 3 SE +/- 1155.08, N = 3 SE +/- 2362.58, N = 3 SE +/- 2359.01, N = 3 SE +/- 2635.10, N = 3 SE +/- 2981.62, N = 3 SE +/- 2275.05, N = 3 SE +/- 351.72, N = 3 SE +/- 1526.06, N = 3 SE +/- 583.02, N = 3 SE +/- 507.16, N = 3 SE +/- 2165.69, N = 3 SE +/- 2747.06, N = 3 SE +/- 1200.01, N = 3 SE +/- 837.97, N = 3 513979 490002 522810 488026 493191 520135 484301 504716 600343 513016 598080 507020 492401 506275 514044 506221 514218 504339 515021 571873
Result Confidence
OpenBenchmarking.org Score, More Is Better PHPBench 0.8.1 PHP Benchmark Suite EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 100K 200K 300K 400K 500K Min: 511256 / Avg: 513979 / Max: 515902 Min: 486082 / Avg: 490002 / Max: 496833 Min: 517673 / Avg: 522810 / Max: 526922 Min: 481927 / Avg: 488025.67 / Max: 493157 Min: 488411 / Avg: 493191.33 / Max: 498314 Min: 517027 / Avg: 520135 / Max: 524169 Min: 482002 / Avg: 484301 / Max: 485647 Min: 500994 / Avg: 504716 / Max: 509098 Min: 596626 / Avg: 600343 / Max: 604718 Min: 510116 / Avg: 513016 / Max: 518277 Min: 592630 / Avg: 598080 / Max: 602901 Min: 503077 / Avg: 507020.33 / Max: 510958 Min: 492038 / Avg: 492400.67 / Max: 493104 Min: 503297 / Avg: 506275 / Max: 508343 Min: 513379 / Avg: 514044 / Max: 515206 Min: 505464 / Avg: 506220.67 / Max: 507184 Min: 510015 / Avg: 514218 / Max: 517226 Min: 499465 / Avg: 504338.67 / Max: 508972 Min: 512649 / Avg: 515020.67 / Max: 516525 Min: 570368 / Avg: 571873.33 / Max: 573264
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 3 6 9 12 15 SE +/- 0.003, N = 3 SE +/- 0.017, N = 3 SE +/- 0.009, N = 3 SE +/- 0.008, N = 3 SE +/- 0.003, N = 3 SE +/- 0.013, N = 3 SE +/- 0.002, N = 3 SE +/- 0.005, N = 3 SE +/- 0.003, N = 3 SE +/- 0.042, N = 3 SE +/- 0.003, N = 3 SE +/- 0.003, N = 3 SE +/- 0.003, N = 3 SE +/- 0.004, N = 3 SE +/- 0.004, N = 3 SE +/- 0.010, N = 3 SE +/- 0.008, N = 3 SE +/- 0.024, N = 3 SE +/- 0.007, N = 3 SE +/- 0.007, N = 3 9.396 9.887 9.260 9.907 9.832 9.266 10.024 9.564 8.087 9.436 8.124 9.543 9.836 9.528 9.404 9.550 9.446 9.556 9.400 8.856 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 3 6 9 12 15 Min: 9.39 / Avg: 9.4 / Max: 9.4 Min: 9.86 / Avg: 9.89 / Max: 9.92 Min: 9.24 / Avg: 9.26 / Max: 9.27 Min: 9.9 / Avg: 9.91 / Max: 9.92 Min: 9.83 / Avg: 9.83 / Max: 9.84 Min: 9.25 / Avg: 9.27 / Max: 9.29 Min: 10.02 / Avg: 10.02 / Max: 10.03 Min: 9.56 / Avg: 9.56 / Max: 9.57 Min: 8.08 / Avg: 8.09 / Max: 8.09 Min: 9.39 / Avg: 9.44 / Max: 9.52 Min: 8.12 / Avg: 8.12 / Max: 8.13 Min: 9.54 / Avg: 9.54 / Max: 9.55 Min: 9.83 / Avg: 9.84 / Max: 9.84 Min: 9.52 / Avg: 9.53 / Max: 9.53 Min: 9.4 / Avg: 9.4 / Max: 9.41 Min: 9.54 / Avg: 9.55 / Max: 9.57 Min: 9.43 / Avg: 9.45 / Max: 9.46 Min: 9.53 / Avg: 9.56 / Max: 9.6 Min: 9.39 / Avg: 9.4 / Max: 9.41 Min: 8.84 / Avg: 8.86 / Max: 8.87 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 400 800 1200 1600 2000 SE +/- 6.10, N = 3 SE +/- 4.29, N = 3 SE +/- 0.15, N = 3 SE +/- 0.27, N = 3 SE +/- 0.05, N = 3 SE +/- 6.85, N = 3 SE +/- 0.36, N = 3 SE +/- 1.70, N = 3 SE +/- 0.26, N = 3 SE +/- 6.19, N = 3 SE +/- 5.43, N = 3 SE +/- 6.62, N = 3 SE +/- 4.99, N = 3 SE +/- 0.24, N = 3 SE +/- 4.45, N = 3 SE +/- 0.32, N = 3 SE +/- 0.11, N = 3 SE +/- 0.41, N = 3 SE +/- 0.36, N = 3 SE +/- 0.08, N = 3 1618.31 1545.62 1649.03 1549.85 1551.93 1642.14 1526.07 1585.16 1891.08 1617.94 1882.96 1593.45 1543.18 1600.37 1620.27 1599.97 1618.82 1600.43 1624.46 1793.82 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 300 600 900 1200 1500 Min: 1606.12 / Avg: 1618.31 / Max: 1624.72 Min: 1537.08 / Avg: 1545.62 / Max: 1550.66 Min: 1648.87 / Avg: 1649.03 / Max: 1649.33 Min: 1549.49 / Avg: 1549.85 / Max: 1550.38 Min: 1551.82 / Avg: 1551.93 / Max: 1551.98 Min: 1628.44 / Avg: 1642.14 / Max: 1649.35 Min: 1525.45 / Avg: 1526.07 / Max: 1526.7 Min: 1581.93 / Avg: 1585.16 / Max: 1587.68 Min: 1890.57 / Avg: 1891.08 / Max: 1891.43 Min: 1605.58 / Avg: 1617.94 / Max: 1624.6 Min: 1872.09 / Avg: 1882.96 / Max: 1888.44 Min: 1580.23 / Avg: 1593.45 / Max: 1600.52 Min: 1533.19 / Avg: 1543.18 / Max: 1548.29 Min: 1599.9 / Avg: 1600.37 / Max: 1600.64 Min: 1611.36 / Avg: 1620.27 / Max: 1624.8 Min: 1599.53 / Avg: 1599.97 / Max: 1600.6 Min: 1618.68 / Avg: 1618.82 / Max: 1619.05 Min: 1599.65 / Avg: 1600.43 / Max: 1601.06 Min: 1624.07 / Avg: 1624.46 / Max: 1625.17 Min: 1793.71 / Avg: 1793.82 / Max: 1793.98 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 16 32 48 64 80 SE +/- 0.03, N = 3 SE +/- 0.10, N = 3 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.19, N = 3 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 65.51 68.52 64.87 68.80 68.20 64.48 69.79 67.11 56.33 65.78 56.46 66.71 68.88 66.30 65.33 67.09 65.80 66.49 65.48 59.77
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Color Enhance EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 14 28 42 56 70 Min: 65.45 / Avg: 65.51 / Max: 65.56 Min: 68.35 / Avg: 68.52 / Max: 68.69 Min: 64.76 / Avg: 64.87 / Max: 64.93 Min: 68.7 / Avg: 68.8 / Max: 68.93 Min: 68.15 / Avg: 68.2 / Max: 68.25 Min: 64.41 / Avg: 64.48 / Max: 64.54 Min: 69.68 / Avg: 69.79 / Max: 69.87 Min: 67.01 / Avg: 67.11 / Max: 67.19 Min: 56.32 / Avg: 56.33 / Max: 56.35 Min: 65.72 / Avg: 65.78 / Max: 65.82 Min: 56.43 / Avg: 56.46 / Max: 56.49 Min: 66.65 / Avg: 66.71 / Max: 66.78 Min: 68.76 / Avg: 68.88 / Max: 68.99 Min: 66.23 / Avg: 66.29 / Max: 66.39 Min: 65.24 / Avg: 65.33 / Max: 65.41 Min: 66.86 / Avg: 67.09 / Max: 67.47 Min: 65.66 / Avg: 65.8 / Max: 65.9 Min: 66.43 / Avg: 66.49 / Max: 66.53 Min: 65.43 / Avg: 65.48 / Max: 65.55 Min: 59.7 / Avg: 59.77 / Max: 59.84
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 2 4 6 8 10 7.53 7.86 7.41 7.87 7.88 7.40 7.99 7.63 6.45 7.51 6.46 7.62 7.87 7.63 7.51 7.62 7.53 7.63 7.50 6.80
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 9 18 27 36 45 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, 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 +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 38.75 40.77 38.51 40.89 40.57 38.22 41.26 39.45 33.31 38.79 33.46 39.33 40.54 39.28 38.75 39.32 38.89 39.40 38.71 35.14 1. (CC) gcc options: -lm -O3
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better AOBench Size: 2048 x 2048 - Total Time EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 9 18 27 36 45 Min: 38.71 / Avg: 38.75 / Max: 38.77 Min: 40.76 / Avg: 40.77 / Max: 40.79 Min: 38.5 / Avg: 38.51 / Max: 38.52 Min: 40.84 / Avg: 40.89 / Max: 40.96 Min: 40.54 / Avg: 40.57 / Max: 40.6 Min: 38.17 / Avg: 38.22 / Max: 38.31 Min: 41.23 / Avg: 41.26 / Max: 41.28 Min: 39.43 / Avg: 39.45 / Max: 39.47 Min: 33.26 / Avg: 33.31 / Max: 33.35 Min: 38.75 / Avg: 38.79 / Max: 38.86 Min: 33.44 / Avg: 33.46 / Max: 33.5 Min: 39.32 / Avg: 39.33 / Max: 39.34 Min: 40.53 / Avg: 40.54 / Max: 40.55 Min: 39.27 / Avg: 39.28 / Max: 39.31 Min: 38.73 / Avg: 38.75 / Max: 38.75 Min: 39.3 / Avg: 39.32 / Max: 39.32 Min: 38.87 / Avg: 38.89 / Max: 38.91 Min: 39.32 / Avg: 39.4 / Max: 39.48 Min: 38.7 / Avg: 38.71 / Max: 38.72 Min: 35.08 / Avg: 35.14 / Max: 35.26 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 300 600 900 1200 1500 SE +/- 0.15, N = 3 SE +/- 0.37, N = 3 SE +/- 0.03, N = 3 SE +/- 0.22, N = 3 SE +/- 0.20, N = 3 SE +/- 0.26, N = 3 SE +/- 0.05, N = 3 SE +/- 0.59, N = 3 SE +/- 0.25, N = 3 SE +/- 0.22, N = 3 SE +/- 0.09, N = 3 SE +/- 0.29, N = 3 SE +/- 0.14, N = 3 SE +/- 0.23, N = 3 SE +/- 0.06, N = 3 SE +/- 0.06, N = 3 SE +/- 0.15, N = 3 SE +/- 0.07, N = 3 SE +/- 0.14, N = 3 SE +/- 0.16, N = 3 1000.06 950.84 1014.89 951.01 954.77 1015.11 939.99 982.88 1164.22 1000.18 1159.53 985.33 954.57 984.81 999.52 985.06 996.68 985.70 999.56 1103.94 1. (CC) gcc options: -lm
Result Confidence
OpenBenchmarking.org Mflops, More Is Better SciMark 2.0 Computational Test: Jacobi Successive Over-Relaxation EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 200 400 600 800 1000 Min: 999.79 / Avg: 1000.06 / Max: 1000.31 Min: 950.42 / Avg: 950.84 / Max: 951.59 Min: 1014.84 / Avg: 1014.89 / Max: 1014.94 Min: 950.79 / Avg: 951.01 / Max: 951.45 Min: 954.47 / Avg: 954.77 / Max: 955.16 Min: 1014.63 / Avg: 1015.11 / Max: 1015.51 Min: 939.93 / Avg: 939.99 / Max: 940.08 Min: 982.03 / Avg: 982.88 / Max: 984.01 Min: 1163.84 / Avg: 1164.22 / Max: 1164.7 Min: 999.84 / Avg: 1000.18 / Max: 1000.6 Min: 1159.36 / Avg: 1159.53 / Max: 1159.67 Min: 984.87 / Avg: 985.33 / Max: 985.87 Min: 954.32 / Avg: 954.57 / Max: 954.81 Min: 984.35 / Avg: 984.81 / Max: 985.07 Min: 999.42 / Avg: 999.52 / Max: 999.62 Min: 984.94 / Avg: 985.06 / Max: 985.16 Min: 996.53 / Avg: 996.68 / Max: 996.97 Min: 985.56 / Avg: 985.7 / Max: 985.81 Min: 999.32 / Avg: 999.56 / Max: 999.82 Min: 1103.64 / Avg: 1103.94 / Max: 1104.19 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 0.2477 0.4954 0.7431 0.9908 1.2385 SE +/- 0.000668, N = 3 SE +/- 0.001552, N = 3 SE +/- 0.004000, N = 3 SE +/- 0.003821, N = 3 SE +/- 0.001415, N = 3 SE +/- 0.000354, N = 3 SE +/- 0.001080, N = 3 SE +/- 0.001981, N = 3 SE +/- 0.000474, N = 3 SE +/- 0.001174, N = 3 SE +/- 0.002476, N = 3 SE +/- 0.000932, N = 3 SE +/- 0.001672, N = 3 SE +/- 0.001091, N = 3 SE +/- 0.000791, N = 3 SE +/- 0.000753, N = 3 SE +/- 0.000715, N = 3 SE +/- 0.000882, N = 3 SE +/- 0.001534, N = 3 SE +/- 0.000997, N = 3 1.033955 1.087148 1.025110 1.100890 1.082283 1.015980 1.100758 1.056087 0.888915 1.033427 0.894938 1.049650 1.098203 1.048465 1.035080 1.048453 1.036920 1.052042 1.051038 0.942317 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 2 4 6 8 10 Min: 1.03 / Avg: 1.03 / Max: 1.03 Min: 1.08 / Avg: 1.09 / Max: 1.09 Min: 1.02 / Avg: 1.03 / Max: 1.03 Min: 1.09 / Avg: 1.1 / Max: 1.11 Min: 1.08 / Avg: 1.08 / Max: 1.09 Min: 1.02 / Avg: 1.02 / Max: 1.02 Min: 1.1 / Avg: 1.1 / Max: 1.1 Min: 1.05 / Avg: 1.06 / Max: 1.06 Min: 0.89 / Avg: 0.89 / Max: 0.89 Min: 1.03 / Avg: 1.03 / Max: 1.04 Min: 0.89 / Avg: 0.89 / Max: 0.9 Min: 1.05 / Avg: 1.05 / Max: 1.05 Min: 1.1 / Avg: 1.1 / Max: 1.1 Min: 1.05 / Avg: 1.05 / Max: 1.05 Min: 1.03 / Avg: 1.04 / Max: 1.04 Min: 1.05 / Avg: 1.05 / Max: 1.05 Min: 1.04 / Avg: 1.04 / Max: 1.04 Min: 1.05 / Avg: 1.05 / Max: 1.05 Min: 1.05 / Avg: 1.05 / Max: 1.05 Min: 0.94 / Avg: 0.94 / Max: 0.94 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 80 160 240 320 400 SE +/- 0.20, N = 3 SE +/- 0.28, N = 3 SE +/- 0.07, N = 3 SE +/- 0.14, N = 3 SE +/- 0.06, N = 3 SE +/- 0.06, N = 3 SE +/- 0.15, N = 3 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 SE +/- 0.08, N = 3 SE +/- 0.20, N = 3 SE +/- 0.11, N = 3 SE +/- 0.08, N = 3 SE +/- 0.15, N = 3 SE +/- 0.05, N = 3 SE +/- 0.09, N = 3 SE +/- 0.14, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 302.26 286.58 306.78 285.66 288.71 306.83 283.96 297.88 351.65 302.33 349.06 298.00 288.79 297.66 302.31 297.79 301.30 297.96 302.38 333.87 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 60 120 180 240 300 Min: 301.89 / Avg: 302.26 / Max: 302.56 Min: 286.21 / Avg: 286.58 / Max: 287.13 Min: 306.68 / Avg: 306.78 / Max: 306.92 Min: 285.41 / Avg: 285.66 / Max: 285.91 Min: 288.64 / Avg: 288.71 / Max: 288.82 Min: 306.75 / Avg: 306.83 / Max: 306.95 Min: 283.71 / Avg: 283.96 / Max: 284.24 Min: 297.79 / Avg: 297.88 / Max: 297.94 Min: 351.48 / Avg: 351.65 / Max: 351.75 Min: 302.17 / Avg: 302.33 / Max: 302.45 Min: 348.75 / Avg: 349.06 / Max: 349.44 Min: 297.78 / Avg: 298 / Max: 298.16 Min: 288.69 / Avg: 288.79 / Max: 288.94 Min: 297.46 / Avg: 297.66 / Max: 297.95 Min: 302.23 / Avg: 302.31 / Max: 302.38 Min: 297.63 / Avg: 297.78 / Max: 297.96 Min: 301.1 / Avg: 301.3 / Max: 301.58 Min: 297.9 / Avg: 297.96 / Max: 298.06 Min: 302.31 / Avg: 302.37 / Max: 302.42 Min: 333.76 / Avg: 333.87 / Max: 333.94 1. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
RNNoise RNNoise is a recurrent neural network for audio noise reduction developed by Mozilla and Xiph.Org. This test profile is a single-threaded test measuring the time to denoise a sample 26 minute long 16-bit RAW audio file using this recurrent neural network noise suppression library. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better RNNoise 2020-06-28 EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 6 12 18 24 30 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 23.31 24.56 23.21 24.62 24.39 22.96 24.83 23.74 20.05 23.35 20.13 23.67 24.40 23.63 23.29 23.65 23.39 23.68 23.31 21.17 1. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better RNNoise 2020-06-28 EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 6 12 18 24 30 Min: 23.28 / Avg: 23.31 / Max: 23.36 Min: 24.49 / Avg: 24.56 / Max: 24.62 Min: 23.17 / Avg: 23.21 / Max: 23.23 Min: 24.55 / Avg: 24.62 / Max: 24.66 Min: 24.38 / Avg: 24.39 / Max: 24.41 Min: 22.94 / Avg: 22.96 / Max: 22.97 Min: 24.78 / Avg: 24.83 / Max: 24.86 Min: 23.71 / Avg: 23.74 / Max: 23.79 Min: 20.04 / Avg: 20.05 / Max: 20.08 Min: 23.32 / Avg: 23.35 / Max: 23.4 Min: 20.1 / Avg: 20.13 / Max: 20.16 Min: 23.66 / Avg: 23.67 / Max: 23.68 Min: 24.38 / Avg: 24.4 / Max: 24.42 Min: 23.61 / Avg: 23.63 / Max: 23.66 Min: 23.29 / Avg: 23.29 / Max: 23.29 Min: 23.61 / Avg: 23.64 / Max: 23.67 Min: 23.37 / Avg: 23.39 / Max: 23.44 Min: 23.65 / Avg: 23.68 / Max: 23.73 Min: 23.29 / Avg: 23.31 / Max: 23.33 Min: 21.15 / Avg: 21.17 / Max: 21.18 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 30 60 90 120 150 SE +/- 0.06, N = 3 SE +/- 0.27, N = 3 SE +/- 0.12, N = 3 SE +/- 0.02, N = 3 SE +/- 0.29, N = 3 SE +/- 0.10, N = 3 SE +/- 0.11, N = 3 SE +/- 0.05, N = 3 SE +/- 0.17, N = 3 SE +/- 1.35, N = 3 SE +/- 0.07, N = 3 SE +/- 0.09, N = 3 SE +/- 0.38, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.22, N = 3 SE +/- 0.10, N = 3 SE +/- 0.08, N = 3 SE +/- 0.45, N = 3 120.37 114.54 121.97 114.21 114.51 122.15 113.09 118.68 140.00 119.05 139.28 118.56 114.61 118.58 120.41 118.56 119.74 118.48 120.37 132.58 1. (CC) gcc options: -lm
Result Confidence
OpenBenchmarking.org Mflops, More Is Better SciMark 2.0 Computational Test: Monte Carlo EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 30 60 90 120 150 Min: 120.25 / Avg: 120.37 / Max: 120.43 Min: 114.16 / Avg: 114.54 / Max: 115.07 Min: 121.74 / Avg: 121.97 / Max: 122.15 Min: 114.18 / Avg: 114.21 / Max: 114.23 Min: 113.96 / Avg: 114.51 / Max: 114.92 Min: 121.94 / Avg: 122.15 / Max: 122.26 Min: 112.87 / Avg: 113.09 / Max: 113.22 Min: 118.58 / Avg: 118.68 / Max: 118.75 Min: 139.68 / Avg: 140 / Max: 140.23 Min: 116.35 / Avg: 119.05 / Max: 120.42 Min: 139.18 / Avg: 139.28 / Max: 139.41 Min: 118.38 / Avg: 118.56 / Max: 118.67 Min: 113.86 / Avg: 114.61 / Max: 115.03 Min: 118.52 / Avg: 118.58 / Max: 118.62 Min: 120.36 / Avg: 120.41 / Max: 120.48 Min: 118.51 / Avg: 118.56 / Max: 118.65 Min: 119.29 / Avg: 119.74 / Max: 119.98 Min: 118.28 / Avg: 118.48 / Max: 118.61 Min: 120.22 / Avg: 120.37 / Max: 120.47 Min: 131.67 / Avg: 132.58 / Max: 133.04 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 100 200 300 400 500 SE +/- 0.56, N = 3 SE +/- 0.68, N = 3 SE +/- 0.09, N = 3 SE +/- 0.49, N = 3 SE +/- 0.06, N = 3 SE +/- 0.69, N = 3 SE +/- 0.10, N = 3 SE +/- 0.16, N = 3 SE +/- 0.62, N = 3 SE +/- 1.02, N = 3 SE +/- 0.18, N = 3 SE +/- 1.09, N = 3 SE +/- 0.89, N = 3 SE +/- 0.17, N = 3 SE +/- 1.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.14, N = 3 SE +/- 0.77, N = 3 SE +/- 0.09, N = 3 SE +/- 0.17, N = 3 406.62 386.81 412.22 386.77 387.79 412.61 381.50 401.44 472.22 407.11 471.25 400.85 388.80 399.98 407.18 400.05 404.44 400.21 405.99 448.29 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 80 160 240 320 400 Min: 405.99 / Avg: 406.62 / Max: 407.74 Min: 386.05 / Avg: 386.81 / Max: 388.17 Min: 412.13 / Avg: 412.22 / Max: 412.39 Min: 386.19 / Avg: 386.77 / Max: 387.75 Min: 387.7 / Avg: 387.79 / Max: 387.9 Min: 411.86 / Avg: 412.61 / Max: 413.98 Min: 381.38 / Avg: 381.5 / Max: 381.69 Min: 401.15 / Avg: 401.44 / Max: 401.7 Min: 471 / Avg: 472.22 / Max: 472.99 Min: 406.04 / Avg: 407.11 / Max: 409.16 Min: 470.9 / Avg: 471.25 / Max: 471.48 Min: 399.66 / Avg: 400.85 / Max: 403.02 Min: 387.76 / Avg: 388.8 / Max: 390.57 Min: 399.65 / Avg: 399.98 / Max: 400.19 Min: 406.1 / Avg: 407.18 / Max: 409.25 Min: 400 / Avg: 400.05 / Max: 400.1 Min: 404.16 / Avg: 404.44 / Max: 404.59 Min: 399.12 / Avg: 400.21 / Max: 401.69 Min: 405.84 / Avg: 405.99 / Max: 406.14 Min: 447.96 / Avg: 448.29 / Max: 448.52 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 30 60 90 120 150 SE +/- 0.05, N = 3 SE +/- 0.16, N = 3 SE +/- 0.02, N = 3 SE +/- 0.30, N = 3 SE +/- 0.07, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.13, N = 3 SE +/- 0.02, N = 3 SE +/- 0.16, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.20, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 118.11 112.08 119.89 111.50 112.79 119.93 110.95 116.34 137.29 118.15 136.44 116.39 112.59 116.33 118.08 116.27 117.51 116.34 118.07 130.42 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 30 60 90 120 150 Min: 118.05 / Avg: 118.11 / Max: 118.2 Min: 111.89 / Avg: 112.08 / Max: 112.39 Min: 119.86 / Avg: 119.89 / Max: 119.92 Min: 110.91 / Avg: 111.5 / Max: 111.87 Min: 112.66 / Avg: 112.79 / Max: 112.89 Min: 119.91 / Avg: 119.93 / Max: 119.95 Min: 110.9 / Avg: 110.95 / Max: 111.06 Min: 116.29 / Avg: 116.34 / Max: 116.37 Min: 137.03 / Avg: 137.29 / Max: 137.45 Min: 118.1 / Avg: 118.15 / Max: 118.18 Min: 136.12 / Avg: 136.44 / Max: 136.6 Min: 116.37 / Avg: 116.39 / Max: 116.42 Min: 112.52 / Avg: 112.59 / Max: 112.7 Min: 116.27 / Avg: 116.33 / Max: 116.42 Min: 117.97 / Avg: 118.07 / Max: 118.15 Min: 116.21 / Avg: 116.27 / Max: 116.31 Min: 117.11 / Avg: 117.51 / Max: 117.71 Min: 116.33 / Avg: 116.34 / Max: 116.36 Min: 118 / Avg: 118.07 / Max: 118.14 Min: 130.4 / Avg: 130.42 / Max: 130.44 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 5 10 15 20 25 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.08, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 20.52 21.68 20.20 21.93 21.45 20.19 21.91 20.84 17.73 20.59 17.83 20.79 21.63 20.87 20.52 20.78 20.72 20.79 20.49 18.61
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Dolfyn 0.527 Computational Fluid Dynamics EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 5 10 15 20 25 Min: 20.49 / Avg: 20.52 / Max: 20.54 Min: 21.62 / Avg: 21.68 / Max: 21.74 Min: 20.18 / Avg: 20.2 / Max: 20.23 Min: 21.86 / Avg: 21.93 / Max: 22.06 Min: 21.44 / Avg: 21.45 / Max: 21.47 Min: 20.15 / Avg: 20.19 / Max: 20.21 Min: 21.79 / Avg: 21.91 / Max: 22.06 Min: 20.79 / Avg: 20.84 / Max: 20.91 Min: 17.69 / Avg: 17.73 / Max: 17.8 Min: 20.53 / Avg: 20.59 / Max: 20.65 Min: 17.8 / Avg: 17.83 / Max: 17.88 Min: 20.77 / Avg: 20.79 / Max: 20.82 Min: 21.61 / Avg: 21.63 / Max: 21.64 Min: 20.85 / Avg: 20.87 / Max: 20.9 Min: 20.48 / Avg: 20.52 / Max: 20.58 Min: 20.76 / Avg: 20.78 / Max: 20.8 Min: 20.66 / Avg: 20.72 / Max: 20.76 Min: 20.77 / Avg: 20.79 / Max: 20.81 Min: 20.45 / Avg: 20.49 / Max: 20.51 Min: 18.56 / Avg: 18.61 / Max: 18.64
GEGL GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Reflect EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 9 18 27 36 45 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.07, 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 +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 35.88 37.34 35.36 37.57 37.25 35.30 38.10 36.76 30.81 36.08 30.84 36.55 37.26 36.21 35.73 36.72 36.04 36.35 35.87 32.58
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Reflect EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 8 16 24 32 40 Min: 35.84 / Avg: 35.88 / Max: 35.91 Min: 37.23 / Avg: 37.34 / Max: 37.4 Min: 35.24 / Avg: 35.36 / Max: 35.49 Min: 37.54 / Avg: 37.57 / Max: 37.63 Min: 37.19 / Avg: 37.25 / Max: 37.29 Min: 35.24 / Avg: 35.3 / Max: 35.4 Min: 38.01 / Avg: 38.1 / Max: 38.19 Min: 36.7 / Avg: 36.76 / Max: 36.82 Min: 30.77 / Avg: 30.81 / Max: 30.87 Min: 36.04 / Avg: 36.08 / Max: 36.11 Min: 30.81 / Avg: 30.84 / Max: 30.86 Min: 36.5 / Avg: 36.55 / Max: 36.58 Min: 37.17 / Avg: 37.26 / Max: 37.37 Min: 36.18 / Avg: 36.21 / Max: 36.23 Min: 35.7 / Avg: 35.73 / Max: 35.77 Min: 36.67 / Avg: 36.72 / Max: 36.78 Min: 35.94 / Avg: 36.04 / Max: 36.21 Min: 36.31 / Avg: 36.35 / Max: 36.39 Min: 35.87 / Avg: 35.87 / Max: 35.88 Min: 32.58 / Avg: 32.58 / Max: 32.59
PostgreSQL pgbench This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 1 - Mode: Read Write EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 700 1400 2100 2800 3500 SE +/- 16.12, N = 3 SE +/- 41.46, N = 3 SE +/- 11.58, N = 3 SE +/- 11.61, N = 3 SE +/- 9.25, N = 3 SE +/- 22.48, N = 3 SE +/- 20.43, N = 3 SE +/- 38.78, N = 3 SE +/- 12.55, N = 3 SE +/- 36.94, N = 3 SE +/- 5.57, N = 3 SE +/- 31.43, N = 3 SE +/- 36.77, N = 3 SE +/- 17.23, N = 3 SE +/- 3.04, N = 3 SE +/- 16.57, N = 3 SE +/- 19.93, N = 3 SE +/- 18.09, N = 3 SE +/- 36.68, N = 3 SE +/- 44.73, N = 3 3064 2959 2666 2638 3010 3136 2958 2870 3025 3007 3060 3089 2706 2821 3017 3037 3118 2993 3086 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 600 1200 1800 2400 3000 Min: 3033.37 / Avg: 3063.79 / Max: 3088.28 Min: 2880.76 / Avg: 2959.07 / Max: 3021.81 Min: 2642.62 / Avg: 2665.73 / Max: 2678.58 Min: 2624.07 / Avg: 2637.91 / Max: 2660.98 Min: 2992.58 / Avg: 3010.35 / Max: 3023.7 Min: 3091.94 / Avg: 3135.97 / Max: 3165.84 Min: 2927.75 / Avg: 2958.16 / Max: 2996.99 Min: 2816.65 / Avg: 2869.87 / Max: 2945.34 Min: 3001.96 / Avg: 3025.16 / Max: 3045.07 Min: 2961.68 / Avg: 3007.13 / Max: 3080.29 Min: 3050.34 / Avg: 3060.33 / Max: 3069.58 Min: 3030.41 / Avg: 3088.86 / Max: 3138.1 Min: 2653.24 / Avg: 2706.36 / Max: 2776.95 Min: 2797.47 / Avg: 2821.48 / Max: 2854.9 Min: 3013.25 / Avg: 3017.3 / Max: 3023.25 Min: 3005.01 / Avg: 3037.11 / Max: 3060.32 Min: 3081.23 / Avg: 3117.96 / Max: 3149.71 Min: 2957.29 / Avg: 2992.6 / Max: 3017.08 Min: 3012.63 / Avg: 3085.97 / Max: 3124.23 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 70 140 210 280 350 SE +/- 0.17, N = 3 SE +/- 0.13, N = 3 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 SE +/- 0.18, N = 3 SE +/- 0.46, N = 3 SE +/- 0.09, N = 3 SE +/- 0.20, N = 3 SE +/- 0.14, N = 3 SE +/- 0.09, N = 3 SE +/- 0.05, N = 3 SE +/- 0.16, N = 3 SE +/- 0.29, N = 3 SE +/- 0.14, N = 3 SE +/- 0.12, N = 3 SE +/- 0.11, N = 3 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 SE +/- 0.20, N = 3 304.54 319.16 302.08 319.57 317.09 299.07 323.49 308.21 261.64 303.50 262.37 307.88 319.96 309.77 303.36 309.42 304.61 308.03 303.53 276.20 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 60 120 180 240 300 Min: 304.21 / Avg: 304.53 / Max: 304.8 Min: 318.9 / Avg: 319.16 / Max: 319.3 Min: 301.98 / Avg: 302.08 / Max: 302.14 Min: 319.47 / Avg: 319.57 / Max: 319.68 Min: 317.03 / Avg: 317.09 / Max: 317.19 Min: 298.75 / Avg: 299.07 / Max: 299.36 Min: 322.66 / Avg: 323.49 / Max: 324.24 Min: 308.08 / Avg: 308.21 / Max: 308.37 Min: 261.36 / Avg: 261.64 / Max: 262.03 Min: 303.26 / Avg: 303.5 / Max: 303.75 Min: 262.2 / Avg: 262.37 / Max: 262.49 Min: 307.77 / Avg: 307.88 / Max: 307.95 Min: 319.64 / Avg: 319.96 / Max: 320.15 Min: 309.24 / Avg: 309.77 / Max: 310.24 Min: 303.21 / Avg: 303.36 / Max: 303.64 Min: 309.2 / Avg: 309.42 / Max: 309.6 Min: 304.4 / Avg: 304.61 / Max: 304.79 Min: 307.98 / Avg: 308.03 / Max: 308.08 Min: 303.41 / Avg: 303.53 / Max: 303.69 Min: 275.8 / Avg: 276.2 / Max: 276.46 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 11 22 33 44 55 SE +/- 0.21, N = 3 SE +/- 0.19, N = 3 SE +/- 0.24, N = 3 SE +/- 0.00, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.10, N = 3 SE +/- 0.30, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.14, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.43, N = 3 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 45.11 47.41 45.08 47.42 46.98 44.14 47.97 46.11 38.80 44.84 39.10 45.45 47.30 45.62 44.95 45.56 45.01 45.93 44.94 40.71
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Gzip Compression Linux Source Tree Archiving To .tar.gz EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 10 20 30 40 50 Min: 44.78 / Avg: 45.11 / Max: 45.5 Min: 47.21 / Avg: 47.41 / Max: 47.78 Min: 44.81 / Avg: 45.08 / Max: 45.57 Min: 47.41 / Avg: 47.42 / Max: 47.42 Min: 46.93 / Avg: 46.98 / Max: 47.07 Min: 44.09 / Avg: 44.14 / Max: 44.19 Min: 47.77 / Avg: 47.97 / Max: 48.12 Min: 45.76 / Avg: 46.11 / Max: 46.71 Min: 38.78 / Avg: 38.8 / Max: 38.81 Min: 44.8 / Avg: 44.84 / Max: 44.87 Min: 39.01 / Avg: 39.1 / Max: 39.15 Min: 45.42 / Avg: 45.45 / Max: 45.48 Min: 47.19 / Avg: 47.29 / Max: 47.44 Min: 45.57 / Avg: 45.62 / Max: 45.67 Min: 44.81 / Avg: 44.95 / Max: 45.23 Min: 45.47 / Avg: 45.56 / Max: 45.61 Min: 44.96 / Avg: 45.01 / Max: 45.06 Min: 45.48 / Avg: 45.93 / Max: 46.79 Min: 44.84 / Avg: 44.94 / Max: 45.13 Min: 40.65 / Avg: 40.71 / Max: 40.77
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 20 40 60 80 100 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 1.32, N = 3 SE +/- 0.02, N = 3 SE +/- 0.09, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, 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 75.07 71.59 76.25 71.45 71.71 76.29 70.48 74.03 86.15 75.14 87.13 74.05 71.80 74.02 75.14 74.02 74.80 74.00 75.12 82.98 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 20 40 60 80 100 Min: 75.03 / Avg: 75.07 / Max: 75.13 Min: 71.58 / Avg: 71.59 / Max: 71.61 Min: 76.22 / Avg: 76.25 / Max: 76.3 Min: 71.36 / Avg: 71.45 / Max: 71.51 Min: 71.68 / Avg: 71.71 / Max: 71.77 Min: 76.28 / Avg: 76.29 / Max: 76.31 Min: 70.4 / Avg: 70.48 / Max: 70.61 Min: 73.99 / Avg: 74.03 / Max: 74.05 Min: 83.52 / Avg: 86.15 / Max: 87.48 Min: 75.11 / Avg: 75.14 / Max: 75.16 Min: 86.95 / Avg: 87.13 / Max: 87.22 Min: 74.04 / Avg: 74.05 / Max: 74.09 Min: 71.8 / Avg: 71.8 / Max: 71.81 Min: 74.01 / Avg: 74.02 / Max: 74.02 Min: 75.12 / Avg: 75.14 / Max: 75.16 Min: 74.01 / Avg: 74.02 / Max: 74.04 Min: 74.73 / Avg: 74.8 / Max: 74.9 Min: 73.98 / Avg: 74 / Max: 74.02 Min: 75.06 / Avg: 75.12 / Max: 75.17 Min: 82.97 / Avg: 82.98 / Max: 83 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 70M 140M 210M 280M 350M SE +/- 19204.56, N = 3 SE +/- 168177.47, N = 3 SE +/- 135788.68, N = 3 SE +/- 3346394.39, N = 3 SE +/- 178481.76, N = 3 SE +/- 606796.66, N = 3 SE +/- 159242.75, N = 3 SE +/- 208309.65, N = 3 SE +/- 134083.43, N = 3 SE +/- 3735800.36, N = 3 SE +/- 957923.37, N = 3 SE +/- 149246.40, N = 3 SE +/- 656575.68, N = 3 SE +/- 122611.09, N = 3 SE +/- 115844.25, N = 3 SE +/- 326600.42, N = 3 SE +/- 259915.46, N = 3 SE +/- 128106.17, N = 3 SE +/- 249228.70, N = 3 SE +/- 474278.12, N = 3 291131291.45 278208760.91 295319267.70 274235020.34 278269504.20 295999448.27 274090977.81 287157431.51 338580247.88 288397184.91 338683643.76 287471325.10 276849835.77 287328501.00 291468543.97 286220634.19 291064294.15 286590944.39 291736111.66 321630965.00 1. (CC) gcc options: -O3 -march=native -lm
Result Confidence
OpenBenchmarking.org QUIPs, More Is Better Hierarchical INTegration 1.0 Test: FLOAT EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 60M 120M 180M 240M 300M Min: 291097868.07 / Avg: 291131291.45 / Max: 291164392.26 Min: 277993425.1 / Avg: 278208760.91 / Max: 278540200.69 Min: 295083179.89 / Avg: 295319267.7 / Max: 295553555.36 Min: 267542253.13 / Avg: 274235020.34 / Max: 277596120.27 Min: 277913646.4 / Avg: 278269504.2 / Max: 278471746.39 Min: 294785978.57 / Avg: 295999448.27 / Max: 296621183.85 Min: 273773069.3 / Avg: 274090977.81 / Max: 274266527.11 Min: 286871915.18 / Avg: 287157431.51 / Max: 287562942.5 Min: 338327615.57 / Avg: 338580247.88 / Max: 338784460.06 Min: 280926056.63 / Avg: 288397184.91 / Max: 292205513 Min: 336869842.29 / Avg: 338683643.76 / Max: 340124814.79 Min: 287202473.29 / Avg: 287471325.1 / Max: 287718056.37 Min: 275537498.15 / Avg: 276849835.77 / Max: 277546034 Min: 287105172.58 / Avg: 287328501 / Max: 287527879.24 Min: 291286695.38 / Avg: 291468543.97 / Max: 291683798.43 Min: 285672800.09 / Avg: 286220634.19 / Max: 286802628.92 Min: 290575870.86 / Avg: 291064294.15 / Max: 291462616.67 Min: 286355086.15 / Avg: 286590944.39 / Max: 286795543.79 Min: 291245765.71 / Avg: 291736111.66 / Max: 292058844.08 Min: 320981498.89 / Avg: 321630965 / Max: 322554417.13 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 40 80 120 160 200 SE +/- 0.15, N = 3 SE +/- 0.14, N = 3 SE +/- 0.12, N = 3 SE +/- 0.22, N = 3 SE +/- 0.13, N = 3 SE +/- 0.03, N = 3 SE +/- 0.12, N = 3 SE +/- 0.08, N = 3 SE +/- 0.06, N = 3 SE +/- 0.16, N = 3 SE +/- 0.16, N = 3 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 SE +/- 0.14, N = 3 SE +/- 0.27, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.10, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 170.68 162.52 171.97 161.77 163.10 173.39 160.53 167.80 198.33 170.62 197.43 168.19 163.28 168.05 170.56 168.31 170.25 168.10 170.79 188.50 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 40 80 120 160 200 Min: 170.38 / Avg: 170.68 / Max: 170.86 Min: 162.36 / Avg: 162.52 / Max: 162.8 Min: 171.84 / Avg: 171.97 / Max: 172.21 Min: 161.41 / Avg: 161.77 / Max: 162.17 Min: 162.9 / Avg: 163.1 / Max: 163.34 Min: 173.33 / Avg: 173.39 / Max: 173.45 Min: 160.29 / Avg: 160.53 / Max: 160.67 Min: 167.71 / Avg: 167.8 / Max: 167.95 Min: 198.25 / Avg: 198.33 / Max: 198.45 Min: 170.44 / Avg: 170.62 / Max: 170.93 Min: 197.12 / Avg: 197.43 / Max: 197.67 Min: 168.03 / Avg: 168.19 / Max: 168.29 Min: 163.24 / Avg: 163.28 / Max: 163.35 Min: 167.79 / Avg: 168.05 / Max: 168.26 Min: 170.01 / Avg: 170.56 / Max: 170.85 Min: 168.27 / Avg: 168.31 / Max: 168.36 Min: 170.14 / Avg: 170.25 / Max: 170.31 Min: 167.92 / Avg: 168.1 / Max: 168.25 Min: 170.66 / Avg: 170.79 / Max: 170.86 Min: 188.45 / Avg: 188.5 / Max: 188.55 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 0.0853 0.1706 0.2559 0.3412 0.4265 SE +/- 0.002, N = 3 SE +/- 0.005, N = 3 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 SE +/- 0.004, N = 3 SE +/- 0.001, N = 3 SE +/- 0.004, N = 3 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 SE +/- 0.005, N = 3 SE +/- 0.002, N = 3 SE +/- 0.000, N = 3 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 SE +/- 0.004, N = 3 SE +/- 0.004, N = 3 0.327 0.338 0.375 0.379 0.332 0.319 0.338 0.349 0.330 0.333 0.327 0.324 0.370 0.355 0.332 0.329 0.321 0.334 0.324 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 1 2 3 4 5 Min: 0.32 / Avg: 0.33 / Max: 0.33 Min: 0.33 / Avg: 0.34 / Max: 0.35 Min: 0.37 / Avg: 0.38 / Max: 0.38 Min: 0.38 / Avg: 0.38 / Max: 0.38 Min: 0.33 / Avg: 0.33 / Max: 0.33 Min: 0.32 / Avg: 0.32 / Max: 0.32 Min: 0.33 / Avg: 0.34 / Max: 0.34 Min: 0.34 / Avg: 0.35 / Max: 0.36 Min: 0.33 / Avg: 0.33 / Max: 0.33 Min: 0.33 / Avg: 0.33 / Max: 0.34 Min: 0.33 / Avg: 0.33 / Max: 0.33 Min: 0.32 / Avg: 0.32 / Max: 0.33 Min: 0.36 / Avg: 0.37 / Max: 0.38 Min: 0.35 / Avg: 0.35 / Max: 0.36 Min: 0.33 / Avg: 0.33 / Max: 0.33 Min: 0.33 / Avg: 0.33 / Max: 0.33 Min: 0.32 / Avg: 0.32 / Max: 0.33 Min: 0.33 / Avg: 0.33 / Max: 0.34 Min: 0.32 / Avg: 0.32 / Max: 0.33 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 150 300 450 600 750 SE +/- 0.28, N = 3 SE +/- 1.26, N = 3 SE +/- 0.09, N = 3 SE +/- 0.09, N = 3 SE +/- 0.78, N = 3 SE +/- 0.93, N = 3 SE +/- 0.15, N = 3 SE +/- 3.52, N = 3 SE +/- 0.07, N = 3 SE +/- 0.76, N = 3 SE +/- 0.94, N = 3 SE +/- 0.47, N = 3 SE +/- 0.14, N = 3 SE +/- 0.11, N = 3 SE +/- 0.24, N = 3 SE +/- 0.44, N = 3 SE +/- 0.10, N = 3 SE +/- 0.32, N = 3 SE +/- 0.30, N = 3 SE +/- 0.11, N = 3 613.29 584.53 622.28 580.57 585.04 621.71 576.35 576.87 711.31 612.90 708.70 603.18 582.51 603.65 612.93 602.54 610.69 602.90 613.09 676.60 1. (CC) gcc options: -lm
Result Confidence
OpenBenchmarking.org Mflops, More Is Better SciMark 2.0 Computational Test: Sparse Matrix Multiply EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 130 260 390 520 650 Min: 612.75 / Avg: 613.29 / Max: 613.69 Min: 582.04 / Avg: 584.53 / Max: 586.08 Min: 622.1 / Avg: 622.28 / Max: 622.38 Min: 580.44 / Avg: 580.57 / Max: 580.73 Min: 583.83 / Avg: 585.04 / Max: 586.49 Min: 619.97 / Avg: 621.71 / Max: 623.15 Min: 576.11 / Avg: 576.35 / Max: 576.62 Min: 573.33 / Avg: 576.87 / Max: 583.91 Min: 711.2 / Avg: 711.31 / Max: 711.44 Min: 611.4 / Avg: 612.9 / Max: 613.87 Min: 706.98 / Avg: 708.7 / Max: 710.23 Min: 602.29 / Avg: 603.18 / Max: 603.86 Min: 582.29 / Avg: 582.51 / Max: 582.76 Min: 603.44 / Avg: 603.65 / Max: 603.83 Min: 612.59 / Avg: 612.93 / Max: 613.4 Min: 601.67 / Avg: 602.54 / Max: 603.13 Min: 610.52 / Avg: 610.69 / Max: 610.88 Min: 602.3 / Avg: 602.9 / Max: 603.4 Min: 612.5 / Avg: 613.09 / Max: 613.41 Min: 676.4 / Avg: 676.6 / Max: 676.79 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 300 600 900 1200 1500 SE +/- 1.20, N = 3 SE +/- 2.60, N = 3 SE +/- 2.60, N = 3 SE +/- 1.20, N = 3 SE +/- 2.19, N = 3 SE +/- 0.67, N = 3 SE +/- 0.67, N = 3 SE +/- 2.33, N = 3 SE +/- 2.03, N = 3 SE +/- 1.76, N = 3 SE +/- 1.00, N = 3 SE +/- 2.19, N = 3 SE +/- 0.58, N = 3 SE +/- 2.40, N = 3 SE +/- 2.73, N = 3 SE +/- 1.53, N = 3 1194 1249 1182 1252 1245 1179 1263 1212 1024 1192 1024 1207 1255 1211 1185 1212 1196 1210 1192 1083
Result Confidence
OpenBenchmarking.org Milliseconds, Fewer Is Better PyBench 2018-02-16 Total For Average Test Times EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 200 400 600 800 1000 Min: 1192 / Avg: 1193.67 / Max: 1196 Min: 1244 / Avg: 1248.67 / Max: 1253 Min: 1177 / Avg: 1181.67 / Max: 1186 Min: 1250 / Avg: 1252.33 / Max: 1254 Min: 1242 / Avg: 1244.67 / Max: 1249 Min: 1262 / Avg: 1263.33 / Max: 1264 Min: 1211 / Avg: 1211.67 / Max: 1213 Min: 1020 / Avg: 1023.67 / Max: 1028 Min: 1021 / Avg: 1024.33 / Max: 1028 Min: 1204 / Avg: 1207.33 / Max: 1210 Min: 1254 / Avg: 1255 / Max: 1257 Min: 1181 / Avg: 1185.33 / Max: 1188 Min: 1211 / Avg: 1212 / Max: 1213 Min: 1191 / Avg: 1195.67 / Max: 1199 Min: 1205 / Avg: 1210.33 / Max: 1214 Min: 1080 / Avg: 1083 / Max: 1085
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 200 400 600 800 1000 SE +/- 2.47, N = 3 SE +/- 0.28, N = 3 SE +/- 1.33, N = 3 SE +/- 0.67, N = 3 SE +/- 0.25, N = 3 SE +/- 3.24, N = 3 SE +/- 2.85, N = 3 SE +/- 1.54, N = 3 SE +/- 2.32, N = 3 SE +/- 1.78, N = 3 SE +/- 3.65, N = 3 SE +/- 0.94, N = 3 SE +/- 3.36, N = 3 SE +/- 0.46, N = 3 SE +/- 0.68, N = 3 SE +/- 1.39, N = 3 SE +/- 3.48, N = 3 SE +/- 2.73, N = 3 SE +/- 1.08, N = 3 SE +/- 5.55, N = 3 872.06 798.82 796.55 775.92 842.39 881.28 796.41 817.76 956.94 871.26 906.95 863.06 835.61 867.20 872.05 866.72 843.29 856.44 873.70 905.21 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 200 400 600 800 1000 Min: 867.84 / Avg: 872.06 / Max: 876.41 Min: 798.48 / Avg: 798.82 / Max: 799.37 Min: 794.25 / Avg: 796.55 / Max: 798.86 Min: 774.9 / Avg: 775.92 / Max: 777.17 Min: 842.05 / Avg: 842.39 / Max: 842.88 Min: 875.93 / Avg: 881.28 / Max: 887.13 Min: 793.11 / Avg: 796.41 / Max: 802.09 Min: 814.69 / Avg: 817.76 / Max: 819.32 Min: 954.35 / Avg: 956.94 / Max: 961.56 Min: 867.71 / Avg: 871.26 / Max: 873.17 Min: 900.97 / Avg: 906.95 / Max: 913.57 Min: 861.65 / Avg: 863.06 / Max: 864.84 Min: 828.89 / Avg: 835.61 / Max: 839 Min: 866.31 / Avg: 867.2 / Max: 867.82 Min: 870.95 / Avg: 872.05 / Max: 873.3 Min: 864.02 / Avg: 866.72 / Max: 868.63 Min: 836.42 / Avg: 843.29 / Max: 847.7 Min: 853.7 / Avg: 856.44 / Max: 861.91 Min: 871.55 / Avg: 873.7 / Max: 874.99 Min: 896.41 / Avg: 905.21 / Max: 915.46 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 0.6809 1.3618 2.0427 2.7236 3.4045 SE +/- 0.006, N = 3 SE +/- 0.007, N = 3 SE +/- 0.001, N = 3 SE +/- 0.004, N = 3 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 SE +/- 0.017, N = 3 SE +/- 0.004, N = 3 SE +/- 0.007, N = 3 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 SE +/- 0.004, N = 3 SE +/- 0.004, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.005, N = 3 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 SE +/- 0.005, N = 3 SE +/- 0.002, N = 3 2.839 2.984 2.801 3.004 2.967 2.799 3.026 2.890 2.454 2.841 2.456 2.884 2.971 2.874 2.836 2.893 2.858 2.895 2.836 2.828 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 2 4 6 8 10 Min: 2.83 / Avg: 2.84 / Max: 2.85 Min: 2.97 / Avg: 2.98 / Max: 2.99 Min: 2.8 / Avg: 2.8 / Max: 2.8 Min: 3 / Avg: 3 / Max: 3.01 Min: 2.97 / Avg: 2.97 / Max: 2.97 Min: 2.8 / Avg: 2.8 / Max: 2.8 Min: 3.01 / Avg: 3.03 / Max: 3.06 Min: 2.88 / Avg: 2.89 / Max: 2.89 Min: 2.45 / Avg: 2.45 / Max: 2.47 Min: 2.84 / Avg: 2.84 / Max: 2.84 Min: 2.45 / Avg: 2.46 / Max: 2.46 Min: 2.88 / Avg: 2.88 / Max: 2.89 Min: 2.96 / Avg: 2.97 / Max: 2.98 Min: 2.87 / Avg: 2.87 / Max: 2.88 Min: 2.84 / Avg: 2.84 / Max: 2.84 Min: 2.89 / Avg: 2.89 / Max: 2.9 Min: 2.86 / Avg: 2.86 / Max: 2.86 Min: 2.89 / Avg: 2.9 / Max: 2.9 Min: 2.83 / Avg: 2.84 / Max: 2.84 Min: 2.83 / Avg: 2.83 / Max: 2.83 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 3 6 9 12 15 SE +/- 0.009, N = 5 SE +/- 0.007, N = 5 SE +/- 0.004, N = 5 SE +/- 0.016, N = 5 SE +/- 0.006, N = 5 SE +/- 0.012, N = 5 SE +/- 0.006, N = 5 SE +/- 0.014, N = 5 SE +/- 0.012, N = 5 SE +/- 0.009, N = 5 SE +/- 0.009, N = 5 SE +/- 0.003, N = 5 SE +/- 0.003, N = 5 SE +/- 0.007, N = 5 SE +/- 0.012, N = 5 SE +/- 0.008, N = 5 SE +/- 0.016, N = 5 SE +/- 0.009, N = 5 SE +/- 0.009, N = 5 SE +/- 0.018, N = 5 9.895 10.418 9.844 10.419 10.303 9.736 10.490 10.051 8.515 9.927 8.569 10.008 10.307 10.025 9.899 10.026 9.931 10.058 9.890 8.997 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 3 6 9 12 15 Min: 9.87 / Avg: 9.9 / Max: 9.92 Min: 10.4 / Avg: 10.42 / Max: 10.44 Min: 9.83 / Avg: 9.84 / Max: 9.86 Min: 10.37 / Avg: 10.42 / Max: 10.46 Min: 10.29 / Avg: 10.3 / Max: 10.33 Min: 9.71 / Avg: 9.74 / Max: 9.76 Min: 10.47 / Avg: 10.49 / Max: 10.5 Min: 10.01 / Avg: 10.05 / Max: 10.09 Min: 8.49 / Avg: 8.51 / Max: 8.55 Min: 9.91 / Avg: 9.93 / Max: 9.95 Min: 8.55 / Avg: 8.57 / Max: 8.59 Min: 10 / Avg: 10.01 / Max: 10.02 Min: 10.3 / Avg: 10.31 / Max: 10.32 Min: 10.01 / Avg: 10.02 / Max: 10.05 Min: 9.88 / Avg: 9.9 / Max: 9.94 Min: 10 / Avg: 10.03 / Max: 10.05 Min: 9.88 / Avg: 9.93 / Max: 9.97 Min: 10.03 / Avg: 10.06 / Max: 10.08 Min: 9.87 / Avg: 9.89 / Max: 9.92 Min: 8.95 / Avg: 9 / Max: 9.05 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 9 18 27 36 45 SE +/- 0.10, N = 4 SE +/- 0.09, N = 4 SE +/- 0.10, N = 4 SE +/- 0.05, N = 4 SE +/- 0.06, N = 4 SE +/- 0.12, N = 4 SE +/- 0.08, N = 4 SE +/- 0.11, N = 4 SE +/- 0.08, N = 4 SE +/- 0.15, N = 4 SE +/- 0.06, N = 4 SE +/- 0.09, N = 4 SE +/- 0.13, N = 4 SE +/- 0.13, N = 4 SE +/- 0.11, N = 4 SE +/- 0.09, N = 4 SE +/- 0.06, N = 4 SE +/- 0.15, N = 4 SE +/- 0.11, N = 4 SE +/- 0.12, N = 4 36.03 37.87 35.80 37.97 37.56 35.45 38.19 36.58 31.18 36.10 31.46 36.45 37.62 36.50 35.88 36.48 36.01 36.59 35.97 32.59 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 8 16 24 32 40 Min: 35.75 / Avg: 36.03 / Max: 36.23 Min: 37.67 / Avg: 37.87 / Max: 38.03 Min: 35.62 / Avg: 35.8 / Max: 36.03 Min: 37.88 / Avg: 37.97 / Max: 38.09 Min: 37.4 / Avg: 37.56 / Max: 37.67 Min: 35.15 / Avg: 35.45 / Max: 35.69 Min: 38.05 / Avg: 38.19 / Max: 38.37 Min: 36.34 / Avg: 36.58 / Max: 36.88 Min: 30.99 / Avg: 31.18 / Max: 31.36 Min: 35.7 / Avg: 36.1 / Max: 36.41 Min: 31.29 / Avg: 31.46 / Max: 31.53 Min: 36.22 / Avg: 36.45 / Max: 36.64 Min: 37.35 / Avg: 37.62 / Max: 37.93 Min: 36.27 / Avg: 36.5 / Max: 36.74 Min: 35.69 / Avg: 35.88 / Max: 36.13 Min: 36.26 / Avg: 36.48 / Max: 36.63 Min: 35.87 / Avg: 36.01 / Max: 36.14 Min: 36.3 / Avg: 36.59 / Max: 36.97 Min: 35.7 / Avg: 35.97 / Max: 36.23 Min: 32.3 / Avg: 32.59 / Max: 32.85 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 20 40 60 80 100 SE +/- 0.13, N = 3 SE +/- 0.20, N = 3 SE +/- 0.15, N = 3 SE +/- 0.24, N = 3 SE +/- 0.19, N = 3 SE +/- 0.20, N = 3 SE +/- 0.72, N = 3 SE +/- 0.18, N = 3 SE +/- 0.11, N = 3 SE +/- 0.21, N = 3 SE +/- 0.29, N = 3 SE +/- 0.12, N = 3 SE +/- 0.19, N = 3 SE +/- 0.03, N = 3 SE +/- 0.16, N = 3 SE +/- 0.11, N = 3 SE +/- 0.42, N = 3 SE +/- 0.13, N = 3 SE +/- 0.17, N = 3 SE +/- 0.56, N = 3 75.41 78.93 75.87 79.09 77.91 74.19 81.08 77.10 66.32 75.21 66.87 76.36 79.62 76.01 75.29 76.30 76.05 76.75 75.75 70.46 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 15 30 45 60 75 Min: 75.14 / Avg: 75.41 / Max: 75.56 Min: 78.53 / Avg: 78.93 / Max: 79.21 Min: 75.67 / Avg: 75.86 / Max: 76.15 Min: 78.84 / Avg: 79.09 / Max: 79.56 Min: 77.55 / Avg: 77.91 / Max: 78.17 Min: 73.93 / Avg: 74.19 / Max: 74.6 Min: 79.79 / Avg: 81.08 / Max: 82.29 Min: 76.76 / Avg: 77.1 / Max: 77.4 Min: 66.19 / Avg: 66.32 / Max: 66.53 Min: 74.92 / Avg: 75.21 / Max: 75.61 Min: 66.42 / Avg: 66.87 / Max: 67.4 Min: 76.23 / Avg: 76.36 / Max: 76.6 Min: 79.29 / Avg: 79.62 / Max: 79.94 Min: 75.96 / Avg: 76.01 / Max: 76.07 Min: 75.01 / Avg: 75.29 / Max: 75.56 Min: 76.13 / Avg: 76.3 / Max: 76.49 Min: 75.26 / Avg: 76.05 / Max: 76.72 Min: 76.49 / Avg: 76.75 / Max: 76.94 Min: 75.53 / Avg: 75.75 / Max: 76.08 Min: 69.4 / Avg: 70.46 / Max: 71.3 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 30 60 90 120 150 SE +/- 0.08, N = 3 SE +/- 0.10, N = 3 SE +/- 0.09, N = 3 SE +/- 0.08, N = 3 SE +/- 0.17, N = 3 SE +/- 0.23, N = 3 SE +/- 0.10, N = 3 SE +/- 0.15, N = 3 SE +/- 0.11, N = 3 SE +/- 0.15, N = 3 SE +/- 0.06, N = 3 SE +/- 0.13, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 SE +/- 0.16, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 SE +/- 0.06, N = 3 110.64 115.16 110.01 115.38 114.56 109.37 118.03 114.07 96.97 111.18 96.57 112.71 114.43 112.07 110.86 113.44 111.53 112.67 110.61 102.01
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Cartoon EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 20 40 60 80 100 Min: 110.55 / Avg: 110.64 / Max: 110.81 Min: 114.98 / Avg: 115.16 / Max: 115.31 Min: 109.92 / Avg: 110.01 / Max: 110.18 Min: 115.28 / Avg: 115.38 / Max: 115.54 Min: 114.37 / Avg: 114.56 / Max: 114.9 Min: 109.09 / Avg: 109.37 / Max: 109.82 Min: 117.9 / Avg: 118.03 / Max: 118.22 Min: 113.78 / Avg: 114.07 / Max: 114.27 Min: 96.76 / Avg: 96.97 / Max: 97.13 Min: 111.02 / Avg: 111.18 / Max: 111.49 Min: 96.49 / Avg: 96.57 / Max: 96.7 Min: 112.44 / Avg: 112.71 / Max: 112.84 Min: 114.36 / Avg: 114.42 / Max: 114.54 Min: 112.01 / Avg: 112.07 / Max: 112.17 Min: 110.54 / Avg: 110.86 / Max: 111.04 Min: 113.4 / Avg: 113.44 / Max: 113.5 Min: 111.44 / Avg: 111.53 / Max: 111.59 Min: 112.59 / Avg: 112.67 / Max: 112.75 Min: 110.53 / Avg: 110.61 / Max: 110.77 Min: 101.93 / Avg: 102.01 / Max: 102.12
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 3 6 9 12 15 SE +/- 0.035, N = 3 SE +/- 0.061, N = 3 SE +/- 0.035, N = 3 SE +/- 0.036, N = 3 SE +/- 0.005, N = 3 SE +/- 0.060, N = 3 SE +/- 0.052, N = 3 SE +/- 0.040, N = 3 SE +/- 0.028, N = 3 SE +/- 0.030, N = 3 SE +/- 0.033, N = 3 SE +/- 0.026, N = 3 SE +/- 0.098, N = 3 SE +/- 0.060, N = 3 SE +/- 0.026, N = 3 SE +/- 0.010, N = 3 SE +/- 0.023, N = 3 SE +/- 0.044, N = 3 SE +/- 0.049, N = 3 SE +/- 0.101, N = 7 9.986 10.346 10.680 10.853 10.078 9.737 10.544 10.581 9.044 10.039 9.165 10.293 11.050 10.153 9.912 10.338 10.242 10.428 9.919 9.131
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GIMP 2.10.18 Test: resize EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 3 6 9 12 15 Min: 9.95 / Avg: 9.99 / Max: 10.06 Min: 10.26 / Avg: 10.35 / Max: 10.47 Min: 10.62 / Avg: 10.68 / Max: 10.74 Min: 10.81 / Avg: 10.85 / Max: 10.93 Min: 10.07 / Avg: 10.08 / Max: 10.09 Min: 9.65 / Avg: 9.74 / Max: 9.85 Min: 10.49 / Avg: 10.54 / Max: 10.65 Min: 10.53 / Avg: 10.58 / Max: 10.66 Min: 8.99 / Avg: 9.04 / Max: 9.07 Min: 10 / Avg: 10.04 / Max: 10.1 Min: 9.11 / Avg: 9.16 / Max: 9.22 Min: 10.24 / Avg: 10.29 / Max: 10.33 Min: 10.91 / Avg: 11.05 / Max: 11.24 Min: 10.06 / Avg: 10.15 / Max: 10.27 Min: 9.87 / Avg: 9.91 / Max: 9.96 Min: 10.32 / Avg: 10.34 / Max: 10.35 Min: 10.2 / Avg: 10.24 / Max: 10.27 Min: 10.34 / Avg: 10.43 / Max: 10.48 Min: 9.83 / Avg: 9.92 / Max: 10 Min: 8.99 / Avg: 9.13 / Max: 9.74
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 3 6 9 12 15 SE +/- 0.035, N = 3 SE +/- 0.037, N = 3 SE +/- 0.170, N = 3 SE +/- 0.053, N = 3 SE +/- 0.013, N = 3 SE +/- 0.042, N = 3 SE +/- 0.011, N = 3 SE +/- 0.021, N = 3 SE +/- 0.150, N = 14 SE +/- 0.024, N = 3 SE +/- 0.016, N = 3 SE +/- 0.022, N = 3 SE +/- 0.061, N = 3 SE +/- 0.012, N = 3 SE +/- 0.012, N = 3 SE +/- 0.186, N = 14 SE +/- 0.010, N = 3 SE +/- 0.055, N = 3 SE +/- 0.017, N = 3 SE +/- 0.019, N = 3 10.937 11.554 11.603 11.885 11.296 10.688 11.700 11.205 9.973 10.959 10.101 11.100 12.183 11.229 11.030 11.222 10.765 10.956 10.873 10.122
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Scikit-Learn 0.22.1 EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 4 8 12 16 20 Min: 10.87 / Avg: 10.94 / Max: 11 Min: 11.5 / Avg: 11.55 / Max: 11.62 Min: 11.42 / Avg: 11.6 / Max: 11.94 Min: 11.78 / Avg: 11.88 / Max: 11.96 Min: 11.28 / Avg: 11.3 / Max: 11.32 Min: 10.63 / Avg: 10.69 / Max: 10.77 Min: 11.68 / Avg: 11.7 / Max: 11.72 Min: 11.17 / Avg: 11.21 / Max: 11.24 Min: 9.75 / Avg: 9.97 / Max: 11.92 Min: 10.93 / Avg: 10.96 / Max: 11.01 Min: 10.08 / Avg: 10.1 / Max: 10.13 Min: 11.06 / Avg: 11.1 / Max: 11.13 Min: 12.1 / Avg: 12.18 / Max: 12.3 Min: 11.22 / Avg: 11.23 / Max: 11.25 Min: 11.01 / Avg: 11.03 / Max: 11.05 Min: 10.92 / Avg: 11.22 / Max: 13.63 Min: 10.75 / Avg: 10.77 / Max: 10.78 Min: 10.85 / Avg: 10.96 / Max: 11.03 Min: 10.84 / Avg: 10.87 / Max: 10.89 Min: 10.09 / Avg: 10.12 / Max: 10.15
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 14 28 42 56 70 SE +/- 0.05, N = 3 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 SE +/- 0.25, N = 3 SE +/- 0.04, N = 3 SE +/- 0.08, N = 3 SE +/- 0.08, N = 3 SE +/- 0.08, N = 3 SE +/- 0.07, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.06, N = 3 SE +/- 0.06, N = 3 SE +/- 0.12, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.11, N = 3 60.73 63.00 60.39 63.31 62.97 59.68 64.22 61.53 52.99 60.52 53.05 61.21 64.55 61.77 60.60 61.60 60.56 61.64 60.30 55.37 1. git version 2.27.0
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Git Time To Complete Common Git Commands EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 13 26 39 52 65 Min: 60.63 / Avg: 60.73 / Max: 60.78 Min: 62.84 / Avg: 63 / Max: 63.14 Min: 60.34 / Avg: 60.39 / Max: 60.45 Min: 63 / Avg: 63.31 / Max: 63.81 Min: 62.89 / Avg: 62.97 / Max: 63.03 Min: 59.54 / Avg: 59.68 / Max: 59.81 Min: 64.09 / Avg: 64.22 / Max: 64.35 Min: 61.41 / Avg: 61.53 / Max: 61.67 Min: 52.87 / Avg: 52.99 / Max: 53.12 Min: 60.5 / Avg: 60.52 / Max: 60.55 Min: 53.01 / Avg: 53.05 / Max: 53.11 Min: 61.13 / Avg: 61.21 / Max: 61.26 Min: 64.46 / Avg: 64.55 / Max: 64.65 Min: 61.7 / Avg: 61.77 / Max: 61.88 Min: 60.49 / Avg: 60.6 / Max: 60.69 Min: 61.36 / Avg: 61.6 / Max: 61.77 Min: 60.52 / Avg: 60.56 / Max: 60.62 Min: 61.63 / Avg: 61.64 / Max: 61.67 Min: 60.19 / Avg: 60.3 / Max: 60.4 Min: 55.16 / Avg: 55.37 / Max: 55.55 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 14 28 42 56 70 SE +/- 0.40, N = 3 SE +/- 0.21, N = 3 SE +/- 0.06, N = 3 SE +/- 0.26, N = 3 SE +/- 0.42, N = 3 SE +/- 0.19, N = 3 SE +/- 0.31, N = 3 SE +/- 0.38, N = 3 SE +/- 0.13, N = 3 SE +/- 0.32, N = 3 SE +/- 0.23, N = 3 SE +/- 0.14, N = 3 SE +/- 0.25, N = 3 SE +/- 0.21, N = 3 SE +/- 0.26, N = 3 SE +/- 0.41, N = 3 SE +/- 0.15, N = 3 SE +/- 0.25, N = 3 SE +/- 0.24, N = 3 SE +/- 0.11, N = 3 53.43 56.65 59.17 60.35 55.77 52.42 56.73 54.94 50.68 53.72 52.94 54.53 60.57 54.45 53.10 55.29 55.13 54.66 53.39 49.73
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Hugin Panorama Photo Assistant + Stitching Time EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 12 24 36 48 60 Min: 52.7 / Avg: 53.43 / Max: 54.09 Min: 56.37 / Avg: 56.65 / Max: 57.07 Min: 59.05 / Avg: 59.17 / Max: 59.24 Min: 60.05 / Avg: 60.35 / Max: 60.87 Min: 55.26 / Avg: 55.77 / Max: 56.6 Min: 52.04 / Avg: 52.42 / Max: 52.67 Min: 56.18 / Avg: 56.73 / Max: 57.24 Min: 54.17 / Avg: 54.94 / Max: 55.32 Min: 50.42 / Avg: 50.68 / Max: 50.83 Min: 53.08 / Avg: 53.72 / Max: 54.09 Min: 52.48 / Avg: 52.94 / Max: 53.18 Min: 54.34 / Avg: 54.53 / Max: 54.81 Min: 60.08 / Avg: 60.57 / Max: 60.83 Min: 54.04 / Avg: 54.45 / Max: 54.69 Min: 52.78 / Avg: 53.1 / Max: 53.6 Min: 54.64 / Avg: 55.28 / Max: 56.05 Min: 54.84 / Avg: 55.13 / Max: 55.35 Min: 54.28 / Avg: 54.66 / Max: 55.14 Min: 52.95 / Avg: 53.39 / Max: 53.77 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 2 4 6 8 10 SE +/- 0.019, N = 3 SE +/- 0.017, N = 3 SE +/- 0.018, N = 3 SE +/- 0.020, N = 3 SE +/- 0.036, N = 3 SE +/- 0.009, N = 3 SE +/- 0.036, N = 3 SE +/- 0.027, N = 3 SE +/- 0.020, N = 3 SE +/- 0.024, N = 3 SE +/- 0.034, N = 3 SE +/- 0.020, N = 3 SE +/- 0.032, N = 3 SE +/- 0.020, N = 3 SE +/- 0.026, N = 3 SE +/- 0.028, N = 3 SE +/- 0.070, N = 3 SE +/- 0.013, N = 3 SE +/- 0.061, N = 3 SE +/- 0.022, N = 3 7.400 7.543 7.510 7.665 7.432 7.225 8.006 7.947 6.733 7.561 6.582 7.654 7.542 7.557 7.444 7.623 7.349 7.348 7.394 6.957
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Scale EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 3 6 9 12 15 Min: 7.38 / Avg: 7.4 / Max: 7.44 Min: 7.53 / Avg: 7.54 / Max: 7.58 Min: 7.49 / Avg: 7.51 / Max: 7.55 Min: 7.63 / Avg: 7.67 / Max: 7.69 Min: 7.38 / Avg: 7.43 / Max: 7.5 Min: 7.21 / Avg: 7.23 / Max: 7.24 Min: 7.94 / Avg: 8.01 / Max: 8.05 Min: 7.91 / Avg: 7.95 / Max: 8 Min: 6.69 / Avg: 6.73 / Max: 6.75 Min: 7.53 / Avg: 7.56 / Max: 7.61 Min: 6.53 / Avg: 6.58 / Max: 6.65 Min: 7.63 / Avg: 7.65 / Max: 7.69 Min: 7.49 / Avg: 7.54 / Max: 7.6 Min: 7.52 / Avg: 7.56 / Max: 7.58 Min: 7.41 / Avg: 7.44 / Max: 7.49 Min: 7.58 / Avg: 7.62 / Max: 7.68 Min: 7.23 / Avg: 7.35 / Max: 7.47 Min: 7.34 / Avg: 7.35 / Max: 7.37 Min: 7.31 / Avg: 7.39 / Max: 7.51 Min: 6.92 / Avg: 6.96 / Max: 7
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 10 20 30 40 50 43.03 44.94 43.34 45.12 45.12 42.34 44.84 44.09 37.68 42.80 38.56 43.99 45.68 42.72 42.12 44.33 45.35 44.95 42.51 40.22
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 1200 2400 3600 4800 6000 SE +/- 0.94, N = 3 SE +/- 12.09, N = 3 SE +/- 8.18, N = 3 SE +/- 18.75, N = 3 SE +/- 6.37, N = 3 SE +/- 15.88, N = 3 SE +/- 9.23, N = 3 SE +/- 7.15, N = 3 SE +/- 16.76, N = 3 SE +/- 4.72, N = 3 SE +/- 4.57, N = 3 SE +/- 1.56, N = 3 SE +/- 9.01, N = 3 SE +/- 13.80, N = 3 SE +/- 4.51, N = 3 SE +/- 3.03, N = 3 SE +/- 12.00, N = 3 SE +/- 11.98, N = 3 SE +/- 6.76, N = 3 SE +/- 4.53, N = 3 5061.3 4772.9 5019.6 4732.2 4812.5 5108.5 4728.4 5002.8 5705.4 5049.7 5671.4 5024.5 4732.0 4980.0 5061.8 5013.4 5107.6 5040.7 5028.0 5661.0 1. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm
Result Confidence
OpenBenchmarking.org Mflops, More Is Better FFTW 3.3.6 Build: Stock - Size: 2D FFT Size 4096 EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 1000 2000 3000 4000 5000 Min: 5059.5 / Avg: 5061.33 / Max: 5062.6 Min: 4749 / Avg: 4772.93 / Max: 4787.9 Min: 5010.6 / Avg: 5019.57 / Max: 5035.9 Min: 4704 / Avg: 4732.2 / Max: 4767.7 Min: 4800.8 / Avg: 4812.5 / Max: 4822.7 Min: 5089.3 / Avg: 5108.5 / Max: 5140 Min: 4718 / Avg: 4728.4 / Max: 4746.8 Min: 4988.8 / Avg: 5002.77 / Max: 5012.4 Min: 5672.1 / Avg: 5705.43 / Max: 5725.2 Min: 5044.1 / Avg: 5049.73 / Max: 5059.1 Min: 5662.3 / Avg: 5671.43 / Max: 5676.2 Min: 5021.7 / Avg: 5024.5 / Max: 5027.1 Min: 4714.4 / Avg: 4732.03 / Max: 4744.1 Min: 4955.2 / Avg: 4980 / Max: 5002.9 Min: 5055.7 / Avg: 5061.8 / Max: 5070.6 Min: 5008.1 / Avg: 5013.37 / Max: 5018.6 Min: 5084 / Avg: 5107.6 / Max: 5123.2 Min: 5022.3 / Avg: 5040.73 / Max: 5063.2 Min: 5017 / Avg: 5027.97 / Max: 5040.3 Min: 5653.7 / Avg: 5660.97 / Max: 5669.3 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 8 16 24 32 40 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.15, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 SE +/- 0.08, N = 3 SE +/- 0.19, N = 3 SE +/- 0.01, N = 3 SE +/- 0.10, N = 3 SE +/- 0.07, N = 3 SE +/- 0.20, N = 3 SE +/- 0.01, N = 3 SE +/- 0.10, N = 3 SE +/- 0.16, N = 3 SE +/- 0.07, N = 3 SE +/- 0.09, N = 3 SE +/- 0.13, N = 3 SE +/- 0.17, N = 3 SE +/- 0.09, N = 3 31.07 32.22 30.92 32.45 32.11 30.73 32.65 31.50 27.06 31.25 27.46 31.16 32.43 31.52 31.08 31.47 31.04 31.36 30.95 28.66
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Tesseract OCR 4.1.1 Time To OCR 7 Images EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 7 14 21 28 35 Min: 30.99 / Avg: 31.07 / Max: 31.14 Min: 32.11 / Avg: 32.22 / Max: 32.33 Min: 30.65 / Avg: 30.92 / Max: 31.15 Min: 32.35 / Avg: 32.45 / Max: 32.52 Min: 32.02 / Avg: 32.11 / Max: 32.2 Min: 30.61 / Avg: 30.73 / Max: 30.81 Min: 32.51 / Avg: 32.65 / Max: 32.79 Min: 31.22 / Avg: 31.5 / Max: 31.87 Min: 27.03 / Avg: 27.06 / Max: 27.08 Min: 31.05 / Avg: 31.25 / Max: 31.39 Min: 27.36 / Avg: 27.46 / Max: 27.59 Min: 30.94 / Avg: 31.16 / Max: 31.56 Min: 32.4 / Avg: 32.43 / Max: 32.45 Min: 31.41 / Avg: 31.52 / Max: 31.71 Min: 30.92 / Avg: 31.08 / Max: 31.4 Min: 31.39 / Avg: 31.47 / Max: 31.61 Min: 30.94 / Avg: 31.04 / Max: 31.21 Min: 31.16 / Avg: 31.36 / Max: 31.61 Min: 30.61 / Avg: 30.95 / Max: 31.12 Min: 28.48 / Avg: 28.66 / Max: 28.8
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: Rotate 90 Degrees EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 11 22 33 44 55 SE +/- 0.01, 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 +/- 0.02, N = 3 SE +/- 0.10, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.08, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.06, N = 3 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 46.44 48.84 47.54 49.78 48.25 45.72 49.58 48.17 41.35 46.78 41.46 47.33 49.86 47.39 46.41 47.84 46.81 47.17 46.44 42.75
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Rotate 90 Degrees EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 10 20 30 40 50 Min: 46.43 / Avg: 46.44 / Max: 46.45 Min: 48.77 / Avg: 48.84 / Max: 48.88 Min: 47.52 / Avg: 47.54 / Max: 47.57 Min: 49.72 / Avg: 49.78 / Max: 49.84 Min: 48.19 / Avg: 48.25 / Max: 48.28 Min: 45.69 / Avg: 45.72 / Max: 45.75 Min: 49.56 / Avg: 49.58 / Max: 49.63 Min: 48.02 / Avg: 48.17 / Max: 48.37 Min: 41.29 / Avg: 41.35 / Max: 41.41 Min: 46.71 / Avg: 46.78 / Max: 46.83 Min: 41.44 / Avg: 41.46 / Max: 41.47 Min: 47.3 / Avg: 47.33 / Max: 47.37 Min: 49.74 / Avg: 49.86 / Max: 50.01 Min: 47.37 / Avg: 47.39 / Max: 47.41 Min: 46.29 / Avg: 46.41 / Max: 46.49 Min: 47.75 / Avg: 47.84 / Max: 47.97 Min: 46.69 / Avg: 46.81 / Max: 46.91 Min: 47.1 / Avg: 47.17 / Max: 47.22 Min: 46.4 / Avg: 46.44 / Max: 46.47 Min: 42.71 / Avg: 42.75 / Max: 42.81
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 9 18 27 36 45 SE +/- 0.63, N = 3 SE +/- 0.44, N = 15 SE +/- 0.48, N = 15 SE +/- 0.35, N = 15 SE +/- 0.05, N = 3 SE +/- 0.25, N = 3 SE +/- 0.35, N = 15 SE +/- 0.27, N = 3 SE +/- 0.23, N = 3 SE +/- 0.90, N = 12 SE +/- 0.49, N = 15 SE +/- 0.39, N = 3 SE +/- 0.42, N = 3 SE +/- 0.13, N = 3 SE +/- 0.58, N = 3 SE +/- 0.27, N = 15 SE +/- 0.44, N = 3 SE +/- 0.14, N = 3 SE +/- 0.48, N = 15 SE +/- 0.20, N = 3 38.35 37.04 38.46 36.01 40.48 39.86 36.46 38.99 34.69 39.89 34.42 35.42 34.67 35.44 39.06 34.66 40.10 41.08 34.68 34.31 1. (CXX) g++ options: -rdynamic
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better ArrayFire 3.7 Test: Conjugate Gradient CPU EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 9 18 27 36 45 Min: 37.1 / Avg: 38.35 / Max: 38.99 Min: 34.83 / Avg: 37.04 / Max: 40.58 Min: 36.04 / Avg: 38.46 / Max: 41.61 Min: 34.31 / Avg: 36.01 / Max: 39.06 Min: 40.41 / Avg: 40.48 / Max: 40.58 Min: 39.35 / Avg: 39.86 / Max: 40.14 Min: 33.78 / Avg: 36.46 / Max: 38.67 Min: 38.52 / Avg: 38.99 / Max: 39.44 Min: 34.28 / Avg: 34.69 / Max: 35.08 Min: 36.69 / Avg: 39.89 / Max: 48.24 Min: 32.46 / Avg: 34.42 / Max: 39.15 Min: 34.79 / Avg: 35.42 / Max: 36.14 Min: 34.08 / Avg: 34.67 / Max: 35.48 Min: 35.25 / Avg: 35.44 / Max: 35.69 Min: 38.24 / Avg: 39.06 / Max: 40.17 Min: 33.09 / Avg: 34.66 / Max: 37.07 Min: 39.24 / Avg: 40.1 / Max: 40.64 Min: 40.94 / Avg: 41.08 / Max: 41.36 Min: 33.32 / Avg: 34.68 / Max: 39.23 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 1500 3000 4500 6000 7500 SE +/- 51.00, N = 3 SE +/- 46.33, N = 3 SE +/- 81.99, N = 3 SE +/- 62.67, N = 3 SE +/- 51.00, N = 3 SE +/- 46.33, N = 3 SE +/- 48.33, N = 3 SE +/- 48.33, N = 3 SE +/- 48.33, N = 3 SE +/- 51.00, N = 3 SE +/- 56.00, N = 3 6097 5813 6199 5952 5906 6250 5813 5954 6881 6199 6756 6097 5859 6097 6097 6049 6049 6049 6148 6522 1. (CC) gcc options: -O3
Result Confidence
OpenBenchmarking.org TPS, More Is Better PostMark 1.51 Disk Transaction Performance EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 1200 2400 3600 4800 6000 Min: 6097 / Avg: 6199 / Max: 6250 Min: 5813 / Avg: 5905.67 / Max: 5952 Min: 5813 / Avg: 5954 / Max: 6097 Min: 6756 / Avg: 6881.33 / Max: 6944 Min: 6097 / Avg: 6199 / Max: 6250 Min: 5813 / Avg: 5859.33 / Max: 5952 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: 6410 / Avg: 6522 / Max: 6578 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 2 4 6 8 10 SE +/- 0.036, N = 4 SE +/- 0.030, N = 4 SE +/- 0.023, N = 4 SE +/- 0.024, N = 4 SE +/- 0.014, N = 4 SE +/- 0.024, N = 4 SE +/- 0.030, N = 4 SE +/- 0.027, N = 4 SE +/- 0.018, N = 4 SE +/- 0.015, N = 4 SE +/- 0.023, N = 4 SE +/- 0.006, N = 4 SE +/- 0.014, N = 4 SE +/- 0.047, N = 4 SE +/- 0.014, N = 4 SE +/- 0.022, N = 4 SE +/- 0.020, N = 4 SE +/- 0.027, N = 4 SE +/- 0.013, N = 4 SE +/- 0.015, N = 4 6.540 6.827 7.046 6.991 6.792 6.419 6.988 6.920 6.180 6.551 6.092 6.635 7.196 6.914 6.629 6.766 6.563 6.660 6.593 6.174
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Unpacking The Linux Kernel linux-4.15.tar.xz EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 3 6 9 12 15 Min: 6.46 / Avg: 6.54 / Max: 6.63 Min: 6.77 / Avg: 6.83 / Max: 6.9 Min: 7 / Avg: 7.05 / Max: 7.1 Min: 6.93 / Avg: 6.99 / Max: 7.03 Min: 6.75 / Avg: 6.79 / Max: 6.82 Min: 6.35 / Avg: 6.42 / Max: 6.46 Min: 6.94 / Avg: 6.99 / Max: 7.07 Min: 6.87 / Avg: 6.92 / Max: 6.98 Min: 6.14 / Avg: 6.18 / Max: 6.23 Min: 6.53 / Avg: 6.55 / Max: 6.59 Min: 6.04 / Avg: 6.09 / Max: 6.15 Min: 6.63 / Avg: 6.64 / Max: 6.65 Min: 7.16 / Avg: 7.2 / Max: 7.22 Min: 6.83 / Avg: 6.91 / Max: 7.05 Min: 6.59 / Avg: 6.63 / Max: 6.65 Min: 6.73 / Avg: 6.77 / Max: 6.82 Min: 6.52 / Avg: 6.56 / Max: 6.62 Min: 6.59 / Avg: 6.66 / Max: 6.71 Min: 6.57 / Avg: 6.59 / Max: 6.63 Min: 6.13 / Avg: 6.17 / Max: 6.19
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 2 4 6 8 10 SE +/- 0.017, N = 5 SE +/- 0.043, N = 5 SE +/- 0.016, N = 5 SE +/- 0.028, N = 5 SE +/- 0.010, N = 5 SE +/- 0.033, N = 5 SE +/- 0.052, N = 5 SE +/- 0.018, N = 5 SE +/- 0.008, N = 5 SE +/- 0.025, N = 5 SE +/- 0.029, N = 5 SE +/- 0.028, N = 5 SE +/- 0.038, N = 5 SE +/- 0.007, N = 5 SE +/- 0.075, N = 5 SE +/- 0.039, N = 5 SE +/- 0.074, N = 5 SE +/- 0.056, N = 5 SE +/- 0.027, N = 5 SE +/- 0.022, N = 5 8.322 8.515 8.145 8.529 8.439 8.246 8.777 8.524 7.538 8.381 7.447 8.579 8.718 8.288 8.357 8.704 8.674 8.541 8.313 7.982
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GNU Octave Benchmark 5.2.0 EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 3 6 9 12 15 Min: 8.27 / Avg: 8.32 / Max: 8.37 Min: 8.42 / Avg: 8.52 / Max: 8.61 Min: 8.09 / Avg: 8.14 / Max: 8.18 Min: 8.45 / Avg: 8.53 / Max: 8.62 Min: 8.41 / Avg: 8.44 / Max: 8.46 Min: 8.17 / Avg: 8.25 / Max: 8.36 Min: 8.65 / Avg: 8.78 / Max: 8.91 Min: 8.49 / Avg: 8.52 / Max: 8.59 Min: 7.52 / Avg: 7.54 / Max: 7.56 Min: 8.3 / Avg: 8.38 / Max: 8.45 Min: 7.37 / Avg: 7.45 / Max: 7.55 Min: 8.5 / Avg: 8.58 / Max: 8.64 Min: 8.63 / Avg: 8.72 / Max: 8.86 Min: 8.27 / Avg: 8.29 / Max: 8.31 Min: 8.27 / Avg: 8.36 / Max: 8.66 Min: 8.62 / Avg: 8.7 / Max: 8.83 Min: 8.54 / Avg: 8.67 / Max: 8.93 Min: 8.41 / Avg: 8.54 / Max: 8.68 Min: 8.26 / Avg: 8.31 / Max: 8.42 Min: 7.91 / Avg: 7.98 / Max: 8.04
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 80 160 240 320 400 SE +/- 3.41, N = 9 SE +/- 5.65, N = 9 SE +/- 6.72, N = 9 SE +/- 5.31, N = 3 SE +/- 6.11, N = 3 SE +/- 4.91, N = 3 SE +/- 5.13, N = 9 SE +/- 6.20, N = 9 SE +/- 2.59, N = 3 SE +/- 5.74, N = 9 SE +/- 2.60, N = 3 SE +/- 3.70, N = 7 SE +/- 2.73, N = 3 SE +/- 3.87, N = 3 SE +/- 4.99, N = 3 SE +/- 2.49, N = 3 SE +/- 5.38, N = 9 SE +/- 4.71, N = 9 SE +/- 5.14, N = 9 SE +/- 4.69, N = 4 340.22 358.64 366.75 350.98 368.49 339.35 371.18 357.63 323.23 339.80 344.39 344.50 373.08 379.76 354.27 356.75 337.81 331.29 342.25 330.10
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Java Gradle Build Gradle Build: Reactor EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 70 140 210 280 350 Min: 319.89 / Avg: 340.21 / Max: 351.36 Min: 343.49 / Avg: 358.64 / Max: 401.05 Min: 345.02 / Avg: 366.75 / Max: 408.84 Min: 340.37 / Avg: 350.98 / Max: 356.76 Min: 361.79 / Avg: 368.49 / Max: 380.7 Min: 331.61 / Avg: 339.35 / Max: 348.44 Min: 349.96 / Avg: 371.18 / Max: 391.88 Min: 327.79 / Avg: 357.63 / Max: 390.79 Min: 318.18 / Avg: 323.23 / Max: 326.76 Min: 315.08 / Avg: 339.8 / Max: 372.17 Min: 339.25 / Avg: 344.39 / Max: 347.65 Min: 331.32 / Avg: 344.5 / Max: 361.38 Min: 368.67 / Avg: 373.08 / Max: 378.08 Min: 372.45 / Avg: 379.76 / Max: 385.63 Min: 344.4 / Avg: 354.27 / Max: 360.52 Min: 351.87 / Avg: 356.75 / Max: 360.05 Min: 313.22 / Avg: 337.81 / Max: 361.29 Min: 313.98 / Avg: 331.29 / Max: 351.86 Min: 316.71 / Avg: 342.25 / Max: 361.76 Min: 320.17 / Avg: 330.1 / Max: 341.36
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 20 40 60 80 100 SE +/- 0.04, N = 3 SE +/- 0.24, N = 3 SE +/- 0.26, N = 3 SE +/- 0.24, N = 3 SE +/- 0.15, N = 3 SE +/- 0.11, N = 3 SE +/- 0.32, N = 3 SE +/- 0.25, N = 3 SE +/- 0.12, N = 3 SE +/- 0.73, N = 3 SE +/- 0.06, N = 3 SE +/- 0.18, N = 3 SE +/- 0.20, N = 3 SE +/- 0.12, N = 3 SE +/- 0.16, N = 3 SE +/- 0.26, N = 3 SE +/- 0.16, N = 3 SE +/- 0.26, N = 3 SE +/- 0.21, N = 3 SE +/- 0.23, N = 3 81.26 81.99 84.60 83.99 83.08 80.78 82.28 81.75 73.89 81.98 74.97 80.39 82.18 81.86 81.57 79.51 80.03 79.63 81.52 72.53
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better DeepSpeech 0.6 Acceleration: CPU EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 16 32 48 64 80 Min: 81.19 / Avg: 81.26 / Max: 81.33 Min: 81.63 / Avg: 81.99 / Max: 82.45 Min: 84.25 / Avg: 84.6 / Max: 85.12 Min: 83.55 / Avg: 83.99 / Max: 84.36 Min: 82.9 / Avg: 83.08 / Max: 83.37 Min: 80.56 / Avg: 80.78 / Max: 80.91 Min: 81.65 / Avg: 82.28 / Max: 82.63 Min: 81.37 / Avg: 81.75 / Max: 82.23 Min: 73.69 / Avg: 73.89 / Max: 74.1 Min: 81.13 / Avg: 81.98 / Max: 83.42 Min: 74.89 / Avg: 74.97 / Max: 75.09 Min: 80.14 / Avg: 80.39 / Max: 80.74 Min: 81.89 / Avg: 82.18 / Max: 82.56 Min: 81.69 / Avg: 81.86 / Max: 82.1 Min: 81.27 / Avg: 81.57 / Max: 81.78 Min: 79.03 / Avg: 79.51 / Max: 79.93 Min: 79.72 / Avg: 80.03 / Max: 80.26 Min: 79.24 / Avg: 79.63 / Max: 80.11 Min: 81.31 / Avg: 81.52 / Max: 81.94 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 7 14 21 28 35 SE +/- 0.25, N = 3 SE +/- 0.20, N = 3 SE +/- 0.11, N = 3 SE +/- 0.44, N = 3 SE +/- 0.24, N = 3 SE +/- 0.21, N = 3 SE +/- 0.16, N = 3 SE +/- 0.34, N = 3 SE +/- 0.24, N = 3 SE +/- 0.26, N = 3 SE +/- 0.18, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.19, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.11, N = 3 SE +/- 0.24, N = 3 SE +/- 0.30, N = 3 27.19 28.50 28.42 28.01 27.61 26.57 28.71 27.84 24.76 27.00 25.32 27.13 28.16 28.46 27.11 26.77 26.66 27.09 26.96 25.21
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_svm EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 6 12 18 24 30 Min: 26.69 / Avg: 27.19 / Max: 27.46 Min: 28.13 / Avg: 28.5 / Max: 28.83 Min: 28.28 / Avg: 28.42 / Max: 28.64 Min: 27.53 / Avg: 28.01 / Max: 28.9 Min: 27.34 / Avg: 27.61 / Max: 28.08 Min: 26.21 / Avg: 26.57 / Max: 26.95 Min: 28.39 / Avg: 28.71 / Max: 28.87 Min: 27.29 / Avg: 27.84 / Max: 28.45 Min: 24.28 / Avg: 24.76 / Max: 25.03 Min: 26.69 / Avg: 27 / Max: 27.52 Min: 24.99 / Avg: 25.32 / Max: 25.62 Min: 27.12 / Avg: 27.13 / Max: 27.15 Min: 28.08 / Avg: 28.16 / Max: 28.28 Min: 28.39 / Avg: 28.46 / Max: 28.52 Min: 26.81 / Avg: 27.11 / Max: 27.46 Min: 26.73 / Avg: 26.77 / Max: 26.81 Min: 26.6 / Avg: 26.66 / Max: 26.73 Min: 26.96 / Avg: 27.09 / Max: 27.3 Min: 26.7 / Avg: 26.96 / Max: 27.44 Min: 24.89 / Avg: 25.21 / Max: 25.82
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 70 140 210 280 350 SE +/- 0.73, N = 3 SE +/- 2.14, N = 3 SE +/- 0.21, N = 3 SE +/- 1.33, N = 3 SE +/- 0.81, N = 3 SE +/- 0.56, N = 3 SE +/- 0.34, N = 3 SE +/- 0.89, N = 3 SE +/- 0.78, N = 3 SE +/- 0.43, N = 3 SE +/- 0.50, N = 3 SE +/- 0.73, N = 3 SE +/- 0.65, N = 3 SE +/- 0.59, N = 3 SE +/- 0.15, N = 3 SE +/- 1.49, N = 3 SE +/- 0.89, N = 3 SE +/- 0.69, N = 3 SE +/- 0.67, N = 3 SE +/- 0.66, N = 3 328.27 316.06 335.95 330.05 312.18 323.34 337.30 334.67 298.47 325.66 308.52 336.45 323.28 329.31 327.87 337.00 336.92 339.37 325.26 295.26
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better WireGuard + Linux Networking Stack Stress Test EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 60 120 180 240 300 Min: 327.19 / Avg: 328.27 / Max: 329.67 Min: 312.44 / Avg: 316.06 / Max: 319.84 Min: 335.53 / Avg: 335.95 / Max: 336.24 Min: 328.14 / Avg: 330.05 / Max: 332.6 Min: 310.68 / Avg: 312.18 / Max: 313.44 Min: 322.33 / Avg: 323.34 / Max: 324.28 Min: 336.62 / Avg: 337.3 / Max: 337.69 Min: 332.93 / Avg: 334.67 / Max: 335.9 Min: 297.17 / Avg: 298.47 / Max: 299.86 Min: 324.97 / Avg: 325.66 / Max: 326.46 Min: 307.64 / Avg: 308.52 / Max: 309.36 Min: 335.49 / Avg: 336.45 / Max: 337.89 Min: 322.49 / Avg: 323.28 / Max: 324.58 Min: 328.38 / Avg: 329.31 / Max: 330.4 Min: 327.57 / Avg: 327.87 / Max: 328.02 Min: 335.1 / Avg: 337 / Max: 339.94 Min: 335.33 / Avg: 336.92 / Max: 338.41 Min: 338.14 / Avg: 339.37 / Max: 340.54 Min: 324.12 / Avg: 325.26 / Max: 326.43 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 90K 180K 270K 360K 450K SE +/- 649.38, N = 3 SE +/- 245.66, N = 3 SE +/- 238.26, N = 3 SE +/- 464.04, N = 3 SE +/- 5702.08, N = 3 SE +/- 894.11, N = 3 SE +/- 1968.81, N = 3 SE +/- 775.34, N = 3 SE +/- 228.49, N = 3 SE +/- 1062.02, N = 3 SE +/- 1594.87, N = 3 SE +/- 4342.59, N = 7 SE +/- 866.86, N = 3 SE +/- 163.65, N = 3 SE +/- 1405.58, N = 3 SE +/- 624.20, N = 3 SE +/- 3410.42, N = 3 SE +/- 4239.95, N = 3 SE +/- 1851.69, N = 3 SE +/- 3714.55, N = 3 407869.99 406178.39 386383.91 392714.19 396399.81 412566.04 388111.09 392401.63 424009.46 409267.14 414532.34 388353.93 392896.66 395467.10 401582.89 381667.96 375509.38 378118.38 407511.61 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 70K 140K 210K 280K 350K Min: 406670.05 / Avg: 407869.99 / Max: 408900.3 Min: 405819.18 / Avg: 406178.39 / Max: 406648.29 Min: 386087.82 / Avg: 386383.91 / Max: 386855.3 Min: 391930.7 / Avg: 392714.19 / Max: 393536.77 Min: 386344.47 / Avg: 396399.81 / Max: 406086.74 Min: 411317.97 / Avg: 412566.04 / Max: 414299.14 Min: 384323.04 / Avg: 388111.09 / Max: 390936.05 Min: 390868.32 / Avg: 392401.63 / Max: 393368.67 Min: 423604.94 / Avg: 424009.46 / Max: 424395.83 Min: 407505.43 / Avg: 409267.14 / Max: 411175.58 Min: 411360.53 / Avg: 414532.34 / Max: 416410.71 Min: 375060.11 / Avg: 388353.93 / Max: 407696.35 Min: 391575.63 / Avg: 392896.66 / Max: 394529.54 Min: 395226.4 / Avg: 395467.1 / Max: 395779.53 Min: 399456.17 / Avg: 401582.89 / Max: 404238.35 Min: 380946.41 / Avg: 381667.96 / Max: 382911 Min: 369830.03 / Avg: 375509.38 / Max: 381620.4 Min: 369640.72 / Avg: 378118.38 / Max: 382526.37 Min: 404800.22 / Avg: 407511.61 / Max: 411051.91 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 0.819 1.638 2.457 3.276 4.095 3.34 3.37 3.29 3.40 3.35 3.34 3.42 3.42 3.26 3.36 3.20 3.41 3.64 3.36 3.35 3.38 3.36 3.42 3.34 3.31
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 300 600 900 1200 1500 SE +/- 3.37, N = 3 SE +/- 3.19, N = 8 SE +/- 2.40, N = 3 SE +/- 2.85, N = 6 SE +/- 7.74, N = 3 SE +/- 2.27, N = 4 SE +/- 10.99, N = 3 SE +/- 1.74, N = 3 SE +/- 0.89, N = 3 SE +/- 4.02, N = 3 SE +/- 4.00, N = 3 SE +/- 5.24, N = 3 SE +/- 10.23, N = 3 SE +/- 5.32, N = 3 SE +/- 13.63, N = 3 SE +/- 4.79, N = 3 SE +/- 1.57, N = 3 SE +/- 4.53, N = 3 SE +/- 6.68, N = 3 SE +/- 4.02, N = 4 1374.08 1404.94 1373.93 1383.61 1414.50 1375.99 1367.38 1376.68 1441.84 1371.83 1428.03 1375.56 1380.05 1384.18 1381.42 1366.25 1368.83 1364.10 1388.23 1430.76 1. (CC) gcc options: -O2 -lm -pthread -lmpi
Result Confidence
OpenBenchmarking.org MB/s, More Is Better IOR 3.2.1 Read Test EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 300 600 900 1200 1500 Min: 1367.62 / Avg: 1374.08 / Max: 1378.99 Min: 1389.1 / Avg: 1404.94 / Max: 1417.09 Min: 1369.63 / Avg: 1373.93 / Max: 1377.93 Min: 1374.16 / Avg: 1383.61 / Max: 1393.03 Min: 1399.32 / Avg: 1414.5 / Max: 1424.68 Min: 1371.46 / Avg: 1375.99 / Max: 1382.01 Min: 1350.9 / Avg: 1367.38 / Max: 1388.21 Min: 1374.18 / Avg: 1376.68 / Max: 1380.03 Min: 1440.07 / Avg: 1441.84 / Max: 1442.9 Min: 1366.21 / Avg: 1371.83 / Max: 1379.62 Min: 1421.68 / Avg: 1428.03 / Max: 1435.43 Min: 1365.53 / Avg: 1375.56 / Max: 1383.22 Min: 1360.55 / Avg: 1380.05 / Max: 1395.18 Min: 1377.73 / Avg: 1384.18 / Max: 1394.73 Min: 1362.62 / Avg: 1381.42 / Max: 1407.92 Min: 1359.5 / Avg: 1366.25 / Max: 1375.51 Min: 1365.99 / Avg: 1368.83 / Max: 1371.39 Min: 1358.12 / Avg: 1364.1 / Max: 1372.98 Min: 1377.18 / Avg: 1388.23 / Max: 1400.25 Min: 1420.34 / Avg: 1430.76 / Max: 1438.03 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 4 8 12 16 20 SE +/- 0.168, N = 3 SE +/- 0.119, N = 15 SE +/- 0.113, N = 15 SE +/- 0.099, N = 12 SE +/- 0.094, N = 3 SE +/- 0.264, N = 15 SE +/- 0.106, N = 8 SE +/- 0.103, N = 15 SE +/- 0.041, N = 3 SE +/- 0.271, N = 14 13.535 5.854 4.288 4.118 7.218 14.359 10.132 13.605 8.892 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 4 8 12 16 20 Min: 13.28 / Avg: 13.53 / Max: 13.85 Min: 5.46 / Avg: 5.85 / Max: 7.34 Min: 4 / Avg: 4.29 / Max: 5.54 Min: 3.78 / Avg: 4.12 / Max: 4.65 Min: 7.06 / Avg: 7.22 / Max: 7.39 Min: 13.64 / Avg: 14.36 / Max: 16.59 Min: 9.86 / Avg: 10.13 / Max: 10.7 Min: 13.17 / Avg: 13.6 / Max: 14.89 Min: 8.83 / Avg: 8.89 / Max: 8.97 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 0.3528 0.7056 1.0584 1.4112 1.764 SE +/- 0.009, N = 3 SE +/- 0.021, N = 15 SE +/- 0.032, N = 12 SE +/- 0.029, N = 15 SE +/- 0.011, N = 6 SE +/- 0.008, N = 15 SE +/- 0.009, N = 15 SE +/- 0.009, N = 3 SE +/- 0.014, N = 15 SE +/- 0.008, N = 3 SE +/- 0.021, N = 15 SE +/- 0.007, N = 15 SE +/- 0.028, N = 15 SE +/- 0.013, N = 15 SE +/- 0.008, N = 15 SE +/- 0.007, N = 15 SE +/- 0.009, N = 4 SE +/- 0.007, N = 3 SE +/- 0.004, N = 3 SE +/- 0.009, N = 15 0.688 1.123 1.568 1.567 0.920 0.655 0.801 0.721 0.862 0.686 1.421 0.653 1.560 0.932 0.753 0.644 0.682 0.701 0.688 0.699
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Sunflow Rendering System 0.07.2 Global Illumination + Image Synthesis EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 2 4 6 8 10 Min: 0.67 / Avg: 0.69 / Max: 0.7 Min: 1.04 / Avg: 1.12 / Max: 1.3 Min: 1.43 / Avg: 1.57 / Max: 1.86 Min: 1.41 / Avg: 1.57 / Max: 1.82 Min: 0.88 / Avg: 0.92 / Max: 0.95 Min: 0.61 / Avg: 0.65 / Max: 0.71 Min: 0.75 / Avg: 0.8 / Max: 0.87 Min: 0.7 / Avg: 0.72 / Max: 0.73 Min: 0.74 / Avg: 0.86 / Max: 0.93 Min: 0.67 / Avg: 0.69 / Max: 0.69 Min: 1.29 / Avg: 1.42 / Max: 1.6 Min: 0.6 / Avg: 0.65 / Max: 0.71 Min: 1.4 / Avg: 1.56 / Max: 1.76 Min: 0.81 / Avg: 0.93 / Max: 1.03 Min: 0.7 / Avg: 0.75 / Max: 0.81 Min: 0.6 / Avg: 0.64 / Max: 0.69 Min: 0.66 / Avg: 0.68 / Max: 0.7 Min: 0.69 / Avg: 0.7 / Max: 0.72 Min: 0.68 / Avg: 0.69 / Max: 0.69 Min: 0.64 / Avg: 0.7 / Max: 0.77
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 3 6 9 12 15 SE +/- 0.07, N = 12 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.13, N = 15 SE +/- 0.02, N = 3 SE +/- 0.01, N = 8 SE +/- 0.03, N = 15 SE +/- 0.17, N = 3 SE +/- 0.04, N = 10 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 SE +/- 0.42, N = 3 SE +/- 0.04, N = 4 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.31, N = 3 SE +/- 0.47, N = 3 SE +/- 0.34, N = 3 SE +/- 0.17, N = 3 SE +/- 0.07, N = 3 4.30 3.35 3.19 3.30 3.12 4.07 4.31 5.02 3.65 4.23 2.96 6.33 3.20 3.67 3.66 6.43 9.78 7.84 4.32 4.12 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: blazeface EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 3 6 9 12 15 Min: 4.06 / Avg: 4.3 / Max: 4.68 Min: 3.25 / Avg: 3.35 / Max: 3.41 Min: 3.17 / Avg: 3.19 / Max: 3.22 Min: 3.04 / Avg: 3.3 / Max: 5.02 Min: 3.1 / Avg: 3.12 / Max: 3.15 Min: 4.04 / Avg: 4.07 / Max: 4.1 Min: 4.19 / Avg: 4.31 / Max: 4.63 Min: 4.8 / Avg: 5.02 / Max: 5.35 Min: 3.46 / Avg: 3.65 / Max: 3.97 Min: 4.14 / Avg: 4.23 / Max: 4.39 Min: 2.93 / Avg: 2.96 / Max: 3.01 Min: 5.76 / Avg: 6.33 / Max: 7.16 Min: 3.1 / Avg: 3.2 / Max: 3.26 Min: 3.63 / Avg: 3.67 / Max: 3.69 Min: 3.64 / Avg: 3.66 / Max: 3.7 Min: 5.83 / Avg: 6.43 / Max: 6.88 Min: 8.84 / Avg: 9.78 / Max: 10.35 Min: 7.38 / Avg: 7.84 / Max: 8.51 Min: 4.05 / Avg: 4.32 / Max: 4.63 Min: 4.04 / Avg: 4.12 / Max: 4.26 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: efficientnet-b0 EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 7 14 21 28 35 SE +/- 0.25, N = 12 SE +/- 0.14, N = 3 SE +/- 0.08, N = 3 SE +/- 0.11, N = 15 SE +/- 0.06, N = 3 SE +/- 0.13, N = 8 SE +/- 0.10, N = 15 SE +/- 0.41, N = 3 SE +/- 0.06, N = 10 SE +/- 0.35, N = 3 SE +/- 0.13, N = 3 SE +/- 1.64, N = 3 SE +/- 0.07, N = 4 SE +/- 0.14, N = 3 SE +/- 0.02, N = 3 SE +/- 0.32, N = 3 SE +/- 1.87, N = 3 SE +/- 1.57, N = 3 SE +/- 0.53, N = 3 SE +/- 0.08, N = 3 13.03 11.30 11.02 11.81 9.20 12.12 13.17 15.71 11.13 12.62 10.32 19.71 12.46 11.06 10.67 19.15 31.36 25.61 12.96 11.88 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: efficientnet-b0 EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 7 14 21 28 35 Min: 11.97 / Avg: 13.03 / Max: 14.35 Min: 11.05 / Avg: 11.3 / Max: 11.55 Min: 10.9 / Avg: 11.02 / Max: 11.16 Min: 11.3 / Avg: 11.81 / Max: 12.57 Min: 9.12 / Avg: 9.2 / Max: 9.32 Min: 11.88 / Avg: 12.12 / Max: 12.99 Min: 12.46 / Avg: 13.17 / Max: 13.76 Min: 15.22 / Avg: 15.71 / Max: 16.53 Min: 10.85 / Avg: 11.13 / Max: 11.43 Min: 12.23 / Avg: 12.62 / Max: 13.31 Min: 10.15 / Avg: 10.32 / Max: 10.58 Min: 17.57 / Avg: 19.71 / Max: 22.93 Min: 12.33 / Avg: 12.46 / Max: 12.67 Min: 10.85 / Avg: 11.06 / Max: 11.34 Min: 10.65 / Avg: 10.67 / Max: 10.72 Min: 18.51 / Avg: 19.15 / Max: 19.55 Min: 28.68 / Avg: 31.36 / Max: 34.96 Min: 23.45 / Avg: 25.61 / Max: 28.65 Min: 11.95 / Avg: 12.96 / Max: 13.73 Min: 11.74 / Avg: 11.88 / Max: 12.02 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: mnasnet EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 6 12 18 24 30 SE +/- 0.18, N = 12 SE +/- 0.11, N = 3 SE +/- 0.09, N = 3 SE +/- 0.10, N = 15 SE +/- 0.06, N = 3 SE +/- 0.17, N = 8 SE +/- 0.10, N = 15 SE +/- 0.46, N = 3 SE +/- 0.06, N = 10 SE +/- 0.15, N = 3 SE +/- 0.14, N = 3 SE +/- 1.60, N = 3 SE +/- 0.03, N = 4 SE +/- 0.25, N = 3 SE +/- 0.06, N = 3 SE +/- 0.20, N = 3 SE +/- 1.69, N = 3 SE +/- 2.95, N = 3 SE +/- 0.32, N = 2 SE +/- 0.15, N = 3 9.98 7.71 7.81 8.10 6.84 9.34 9.83 11.63 8.49 9.41 7.30 17.06 8.49 8.10 8.13 15.02 26.02 21.46 9.35 9.32 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: mnasnet EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 6 12 18 24 30 Min: 9.11 / Avg: 9.98 / Max: 10.92 Min: 7.5 / Avg: 7.71 / Max: 7.87 Min: 7.63 / Avg: 7.81 / Max: 7.92 Min: 7.49 / Avg: 8.1 / Max: 8.71 Min: 6.76 / Avg: 6.84 / Max: 6.95 Min: 8.9 / Avg: 9.34 / Max: 10.14 Min: 9.41 / Avg: 9.83 / Max: 10.84 Min: 11.07 / Avg: 11.63 / Max: 12.54 Min: 8.21 / Avg: 8.49 / Max: 8.76 Min: 9.22 / Avg: 9.41 / Max: 9.71 Min: 7.08 / Avg: 7.3 / Max: 7.55 Min: 14.96 / Avg: 17.06 / Max: 20.19 Min: 8.4 / Avg: 8.49 / Max: 8.54 Min: 7.62 / Avg: 8.1 / Max: 8.48 Min: 8.03 / Avg: 8.13 / Max: 8.25 Min: 14.65 / Avg: 15.02 / Max: 15.34 Min: 22.65 / Avg: 26.02 / Max: 27.89 Min: 17.43 / Avg: 21.46 / Max: 27.22 Min: 9.03 / Avg: 9.35 / Max: 9.66 Min: 9.12 / Avg: 9.32 / Max: 9.62 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: shufflenet-v2 EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 6 12 18 24 30 SE +/- 0.18, N = 12 SE +/- 0.30, N = 2 SE +/- 0.10, N = 3 SE +/- 0.06, N = 15 SE +/- 0.03, N = 3 SE +/- 0.13, N = 8 SE +/- 0.10, N = 15 SE +/- 0.97, N = 3 SE +/- 0.18, N = 10 SE +/- 0.17, N = 3 SE +/- 0.01, N = 2 SE +/- 0.98, N = 3 SE +/- 0.17, N = 4 SE +/- 0.07, N = 3 SE +/- 0.10, N = 3 SE +/- 0.92, N = 3 SE +/- 2.54, N = 3 SE +/- 1.73, N = 3 SE +/- 0.91, N = 3 SE +/- 0.02, N = 3 11.15 8.60 8.60 8.16 8.03 10.48 10.84 14.43 9.53 10.28 7.76 18.38 8.36 9.14 9.09 16.83 25.16 21.77 10.96 9.92 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: shufflenet-v2 EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 6 12 18 24 30 Min: 10.02 / Avg: 11.15 / Max: 11.93 Min: 8.3 / Avg: 8.6 / Max: 8.89 Min: 8.43 / Avg: 8.6 / Max: 8.76 Min: 7.92 / Avg: 8.16 / Max: 8.77 Min: 7.98 / Avg: 8.03 / Max: 8.07 Min: 9.97 / Avg: 10.48 / Max: 11.14 Min: 10.18 / Avg: 10.84 / Max: 11.53 Min: 12.87 / Avg: 14.43 / Max: 16.2 Min: 8.94 / Avg: 9.53 / Max: 10.51 Min: 9.94 / Avg: 10.28 / Max: 10.48 Min: 7.75 / Avg: 7.76 / Max: 7.77 Min: 16.55 / Avg: 18.38 / Max: 19.89 Min: 7.94 / Avg: 8.36 / Max: 8.69 Min: 9.03 / Avg: 9.14 / Max: 9.27 Min: 8.92 / Avg: 9.09 / Max: 9.27 Min: 15.43 / Avg: 16.83 / Max: 18.57 Min: 21.38 / Avg: 25.16 / Max: 30 Min: 19.2 / Avg: 21.77 / Max: 25.06 Min: 9.99 / Avg: 10.96 / Max: 12.79 Min: 9.88 / Avg: 9.92 / Max: 9.95 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 6 12 18 24 30 SE +/- 0.19, N = 12 SE +/- 0.13, N = 3 SE +/- 0.02, N = 3 SE +/- 0.08, N = 15 SE +/- 0.07, N = 3 SE +/- 0.12, N = 8 SE +/- 0.07, N = 15 SE +/- 0.36, N = 3 SE +/- 0.11, N = 10 SE +/- 0.08, N = 3 SE +/- 0.09, N = 3 SE +/- 1.62, N = 3 SE +/- 0.14, N = 4 SE +/- 0.04, N = 3 SE +/- 0.07, N = 3 SE +/- 0.33, N = 3 SE +/- 1.63, N = 3 SE +/- 2.05, N = 3 SE +/- 0.65, N = 3 SE +/- 0.02, N = 3 10.55 8.19 7.99 8.18 7.49 9.81 10.21 12.08 8.90 9.98 7.42 15.95 8.97 8.63 8.47 15.40 27.15 21.05 10.49 9.41 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 6 12 18 24 30 Min: 9.71 / Avg: 10.55 / Max: 11.45 Min: 8.03 / Avg: 8.19 / Max: 8.44 Min: 7.96 / Avg: 7.99 / Max: 8.03 Min: 7.84 / Avg: 8.18 / Max: 8.92 Min: 7.39 / Avg: 7.49 / Max: 7.62 Min: 9.46 / Avg: 9.81 / Max: 10.52 Min: 9.69 / Avg: 10.21 / Max: 10.69 Min: 11.64 / Avg: 12.08 / Max: 12.79 Min: 8.5 / Avg: 8.9 / Max: 9.63 Min: 9.84 / Avg: 9.98 / Max: 10.1 Min: 7.29 / Avg: 7.42 / Max: 7.6 Min: 13.9 / Avg: 15.95 / Max: 19.15 Min: 8.58 / Avg: 8.97 / Max: 9.25 Min: 8.59 / Avg: 8.63 / Max: 8.7 Min: 8.35 / Avg: 8.47 / Max: 8.59 Min: 14.75 / Avg: 15.4 / Max: 15.81 Min: 24.31 / Avg: 27.15 / Max: 29.96 Min: 18.92 / Avg: 21.05 / Max: 25.14 Min: 9.56 / Avg: 10.49 / Max: 11.73 Min: 9.38 / Avg: 9.41 / Max: 9.44 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 6 12 18 24 30 SE +/- 0.19, N = 12 SE +/- 0.13, N = 3 SE +/- 0.15, N = 3 SE +/- 0.09, N = 15 SE +/- 0.08, N = 3 SE +/- 0.11, N = 8 SE +/- 0.11, N = 15 SE +/- 0.33, N = 3 SE +/- 3.21, N = 10 SE +/- 0.02, N = 3 SE +/- 0.36, N = 3 SE +/- 1.97, N = 3 SE +/- 0.09, N = 4 SE +/- 0.29, N = 3 SE +/- 0.26, N = 3 SE +/- 0.63, N = 3 SE +/- 1.38, N = 3 SE +/- 3.02, N = 3 SE +/- 0.49, N = 3 SE +/- 0.21, N = 3 10.61 8.66 9.07 8.96 7.77 10.07 10.64 12.63 12.40 10.31 8.29 16.41 9.32 9.12 9.01 16.18 26.55 22.90 10.75 9.96 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 6 12 18 24 30 Min: 9.95 / Avg: 10.61 / Max: 11.74 Min: 8.51 / Avg: 8.66 / Max: 8.91 Min: 8.9 / Avg: 9.07 / Max: 9.37 Min: 8.64 / Avg: 8.96 / Max: 9.88 Min: 7.68 / Avg: 7.77 / Max: 7.94 Min: 9.82 / Avg: 10.07 / Max: 10.75 Min: 10.08 / Avg: 10.64 / Max: 11.35 Min: 12.01 / Avg: 12.63 / Max: 13.15 Min: 8.85 / Avg: 12.4 / Max: 41.24 Min: 10.28 / Avg: 10.31 / Max: 10.33 Min: 7.87 / Avg: 8.29 / Max: 9 Min: 14.24 / Avg: 16.41 / Max: 20.35 Min: 9.17 / Avg: 9.32 / Max: 9.52 Min: 8.6 / Avg: 9.12 / Max: 9.61 Min: 8.53 / Avg: 9.01 / Max: 9.42 Min: 15.13 / Avg: 16.18 / Max: 17.32 Min: 24.45 / Avg: 26.55 / Max: 29.15 Min: 18.49 / Avg: 22.9 / Max: 28.67 Min: 9.87 / Avg: 10.75 / Max: 11.57 Min: 9.67 / Avg: 9.96 / Max: 10.38 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 3 6 9 12 15 SE +/- 0.301, N = 12 SE +/- 0.168, N = 12 SE +/- 0.100, N = 3 SE +/- 0.125, N = 3 SE +/- 0.144, N = 3 SE +/- 0.188, N = 12 SE +/- 0.130, N = 15 SE +/- 0.175, N = 15 SE +/- 0.377, N = 15 SE +/- 0.188, N = 15 SE +/- 0.082, N = 3 SE +/- 0.300, N = 15 SE +/- 0.174, N = 12 SE +/- 0.201, N = 3 SE +/- 0.122, N = 15 SE +/- 0.145, N = 3 SE +/- 0.244, N = 12 SE +/- 0.188, N = 15 SE +/- 0.050, N = 3 SE +/- 0.263, N = 15 9.300 12.611 11.122 11.582 10.345 8.802 10.433 10.073 11.454 9.113 10.034 10.125 11.859 11.608 10.000 9.173 10.193 10.048 9.489 9.930 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 4 8 12 16 20 Min: 8.31 / Avg: 9.3 / Max: 11.87 Min: 11.71 / Avg: 12.61 / Max: 13.62 Min: 10.97 / Avg: 11.12 / Max: 11.31 Min: 11.4 / Avg: 11.58 / Max: 11.82 Min: 10.08 / Avg: 10.34 / Max: 10.57 Min: 7.85 / Avg: 8.8 / Max: 10.38 Min: 9.2 / Avg: 10.43 / Max: 11.2 Min: 9.24 / Avg: 10.07 / Max: 11.28 Min: 9.93 / Avg: 11.45 / Max: 15.85 Min: 8.35 / Avg: 9.11 / Max: 11.28 Min: 9.93 / Avg: 10.03 / Max: 10.2 Min: 8.73 / Avg: 10.12 / Max: 12.48 Min: 10.97 / Avg: 11.86 / Max: 13.05 Min: 11.21 / Avg: 11.61 / Max: 11.81 Min: 9.38 / Avg: 10 / Max: 10.74 Min: 8.88 / Avg: 9.17 / Max: 9.33 Min: 9.1 / Avg: 10.19 / Max: 11.94 Min: 8.94 / Avg: 10.05 / Max: 11.4 Min: 9.42 / Avg: 9.49 / Max: 9.59 Min: 8.95 / Avg: 9.93 / Max: 13.23 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 12 24 36 48 60 SE +/- 0.74, N = 15 SE +/- 0.79, N = 12 SE +/- 0.95, N = 12 SE +/- 0.72, N = 12 SE +/- 0.51, N = 3 SE +/- 1.07, N = 15 SE +/- 0.99, N = 15 SE +/- 1.01, N = 12 SE +/- 0.92, N = 15 SE +/- 0.77, N = 15 SE +/- 0.30, N = 3 SE +/- 0.76, N = 15 SE +/- 0.86, N = 15 SE +/- 1.19, N = 12 SE +/- 0.28, N = 3 SE +/- 0.56, N = 8 SE +/- 1.36, N = 12 SE +/- 1.58, N = 15 SE +/- 0.99, N = 15 SE +/- 0.71, N = 5 46.84 23.41 23.24 19.77 29.72 47.18 37.54 52.64 44.35 45.93 28.22 52.98 44.50 34.01 42.09 54.44 47.28 42.79 47.32 52.73 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 11 22 33 44 55 Min: 42.17 / Avg: 46.84 / Max: 52.54 Min: 20.23 / Avg: 23.41 / Max: 28.7 Min: 19.86 / Avg: 23.24 / Max: 30.23 Min: 17.06 / Avg: 19.77 / Max: 25.36 Min: 28.72 / Avg: 29.72 / Max: 30.36 Min: 38.21 / Avg: 47.18 / Max: 52.07 Min: 29.32 / Avg: 37.54 / Max: 42.21 Min: 47.11 / Avg: 52.64 / Max: 58.36 Min: 38.89 / Avg: 44.35 / Max: 51.16 Min: 40.11 / Avg: 45.93 / Max: 50.14 Min: 27.66 / Avg: 28.22 / Max: 28.7 Min: 48.06 / Avg: 52.98 / Max: 58.56 Min: 39.8 / Avg: 44.5 / Max: 49.5 Min: 26.12 / Avg: 34.01 / Max: 42.02 Min: 41.72 / Avg: 42.09 / Max: 42.65 Min: 52.63 / Avg: 54.44 / Max: 57.73 Min: 41.69 / Avg: 47.28 / Max: 59.34 Min: 35.13 / Avg: 42.79 / Max: 56.7 Min: 37.01 / Avg: 47.32 / Max: 53.3 Min: 51.28 / Avg: 52.73 / Max: 54.81 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 30 60 90 120 150 SE +/- 1.65, N = 3 SE +/- 1.73, N = 5 SE +/- 0.72, N = 3 SE +/- 0.62, N = 3 SE +/- 1.88, N = 3 SE +/- 2.61, N = 15 SE +/- 1.63, N = 3 SE +/- 2.07, N = 15 SE +/- 0.86, N = 3 SE +/- 1.33, N = 15 SE +/- 1.93, N = 3 SE +/- 2.47, N = 15 SE +/- 1.60, N = 6 SE +/- 1.17, N = 15 SE +/- 2.01, N = 15 SE +/- 2.47, N = 15 SE +/- 2.83, N = 15 SE +/- 1.98, N = 15 SE +/- 2.71, N = 15 SE +/- 1.58, N = 3 136.46 135.07 151.17 133.66 124.81 141.16 141.08 146.03 107.63 138.20 125.79 139.95 140.05 138.33 144.79 143.36 138.78 138.60 141.89 110.51 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 30 60 90 120 150 Min: 133.23 / Avg: 136.46 / Max: 138.66 Min: 129.68 / Avg: 135.07 / Max: 138.4 Min: 149.88 / Avg: 151.17 / Max: 152.37 Min: 132.72 / Avg: 133.66 / Max: 134.82 Min: 121.19 / Avg: 124.81 / Max: 127.53 Min: 122.96 / Avg: 141.16 / Max: 156.42 Min: 138.87 / Avg: 141.08 / Max: 144.27 Min: 127.95 / Avg: 146.03 / Max: 161.11 Min: 106.19 / Avg: 107.63 / Max: 109.17 Min: 127.33 / Avg: 138.2 / Max: 146.64 Min: 123.73 / Avg: 125.79 / Max: 129.66 Min: 125.42 / Avg: 139.95 / Max: 155.81 Min: 135.25 / Avg: 140.05 / Max: 146.18 Min: 130.88 / Avg: 138.33 / Max: 148.14 Min: 133.15 / Avg: 144.79 / Max: 158.57 Min: 130.15 / Avg: 143.36 / Max: 167.38 Min: 124.21 / Avg: 138.77 / Max: 163.33 Min: 127.6 / Avg: 138.6 / Max: 154.28 Min: 126.74 / Avg: 141.89 / Max: 162.45 Min: 108.42 / Avg: 110.51 / Max: 113.6 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 500 1000 1500 2000 2500 SE +/- 22.59, N = 3 SE +/- 24.02, N = 5 SE +/- 7.91, N = 3 SE +/- 8.60, N = 3 SE +/- 30.54, N = 3 SE +/- 33.34, N = 15 SE +/- 20.43, N = 3 SE +/- 24.97, N = 15 SE +/- 18.48, N = 3 SE +/- 17.58, N = 15 SE +/- 30.14, N = 3 SE +/- 31.83, N = 15 SE +/- 20.26, N = 6 SE +/- 15.02, N = 15 SE +/- 23.93, N = 15 SE +/- 28.60, N = 15 SE +/- 34.92, N = 15 SE +/- 25.74, N = 15 SE +/- 33.17, N = 15 SE +/- 32.03, N = 3 1835 1854 1655 1871 2006 1782 1775 1719 2325 1814 1989 1798 1787 1811 1733 1755 1817 1814 1773 2266 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 400 800 1200 1600 2000 Min: 1805.6 / Avg: 1835.48 / Max: 1879.78 Min: 1807.76 / Avg: 1853.51 / Max: 1929.21 Min: 1641.56 / Avg: 1654.73 / Max: 1668.9 Min: 1855.25 / Avg: 1871.36 / Max: 1884.64 Min: 1962.23 / Avg: 2005.65 / Max: 2064.57 Min: 1600.62 / Avg: 1782.32 / Max: 2036.36 Min: 1735.14 / Avg: 1774.96 / Max: 1802.83 Min: 1554.13 / Avg: 1719.48 / Max: 1956.56 Min: 2292.23 / Avg: 2324.96 / Max: 2356.2 Min: 1707.86 / Avg: 1814.13 / Max: 1966.47 Min: 1929.03 / Avg: 1989.26 / Max: 2021.6 Min: 1608.03 / Avg: 1798.43 / Max: 1997.87 Min: 1710.92 / Avg: 1787.13 / Max: 1849.3 Min: 1688.93 / Avg: 1810.62 / Max: 1911.59 Min: 1578 / Avg: 1733.28 / Max: 1879.86 Min: 1496.68 / Avg: 1754.82 / Max: 1925.71 Min: 1536.79 / Avg: 1817.28 / Max: 2018.42 Min: 1625.63 / Avg: 1814.23 / Max: 1963.69 Min: 1541.54 / Avg: 1773.47 / Max: 1975.34 Min: 2203.22 / Avg: 2265.83 / Max: 2308.87 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 1500 3000 4500 6000 7500 SE +/- 52.78, N = 3 SE +/- 23.67, N = 3 SE +/- 36.60, N = 15 SE +/- 18.28, N = 15 SE +/- 61.39, N = 15 SE +/- 57.19, N = 15 SE +/- 43.40, N = 3 SE +/- 102.07, N = 15 SE +/- 18.37, N = 3 SE +/- 75.78, N = 15 SE +/- 47.68, N = 15 SE +/- 64.05, N = 15 SE +/- 21.86, N = 15 SE +/- 39.18, N = 3 SE +/- 31.38, N = 3 SE +/- 71.03, N = 3 SE +/- 111.01, N = 3 SE +/- 56.89, N = 3 SE +/- 53.07, N = 15 SE +/- 0.00, N = 3 4618.38 2336.06 2244.31 2035.81 2536.42 4503.71 3631.81 4255.18 3840.41 4433.06 2241.57 5300.22 1963.31 3429.08 3804.17 5362.77 6605.06 6770.19 4472.15 6339.43 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 1200 2400 3600 4800 6000 Min: 4512.81 / Avg: 4618.38 / Max: 4671.16 Min: 2295.31 / Avg: 2336.06 / Max: 2377.29 Min: 1849 / Avg: 2244.31 / Max: 2335.58 Min: 1929.39 / Avg: 2035.81 / Max: 2130.05 Min: 2164.68 / Avg: 2536.42 / Max: 2958.4 Min: 3858.78 / Avg: 4503.71 / Max: 4671.16 Min: 3550.08 / Avg: 3631.81 / Max: 3698 Min: 3803.66 / Avg: 4255.18 / Max: 4930.67 Min: 3803.66 / Avg: 3840.41 / Max: 3858.78 Min: 3803.66 / Avg: 4433.06 / Max: 4671.16 Min: 1901.83 / Avg: 2241.57 / Max: 2398.7 Min: 4930.67 / Avg: 5300.22 / Max: 5916.8 Min: 1740.24 / Avg: 1963.31 / Max: 2032.49 Min: 3370.33 / Avg: 3429.08 / Max: 3503.37 Min: 3750.08 / Avg: 3804.17 / Max: 3858.78 Min: 5220.71 / Avg: 5362.77 / Max: 5433.8 Min: 6494.05 / Avg: 6605.06 / Max: 6827.08 Min: 6656.4 / Avg: 6770.19 / Max: 6827.08 Min: 3858.78 / Avg: 4472.15 / Max: 4590.62 Min: 6339.43 / Avg: 6339.43 / Max: 6339.43 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 1300 2600 3900 5200 6500 SE +/- 3.82, N = 3 SE +/- 79.31, N = 15 SE +/- 48.28, N = 15 SE +/- 2.09, N = 3 SE +/- 6.65, N = 3 SE +/- 1.06, N = 3 SE +/- 95.82, N = 15 SE +/- 249.68, N = 3 SE +/- 19.79, N = 3 SE +/- 3.67, N = 3 SE +/- 55.69, N = 15 SE +/- 6.88, N = 3 SE +/- 1.17, N = 5 SE +/- 6.65, N = 3 SE +/- 27.55, N = 3 SE +/- 2.61, N = 3 SE +/- 100.04, N = 3 SE +/- 0.69, N = 3 SE +/- 1.06, N = 3 SE +/- 243.60, N = 3 5205.83 2675.68 2748.41 2586.06 2890.84 5205.82 4616.84 5841.65 6042.82 5201.59 2815.25 5767.29 2501.23 4953.62 5282.86 6148.31 5703.97 5936.73 5206.88 5630.66 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 1100 2200 3300 4400 5500 Min: 5198.41 / Avg: 5205.83 / Max: 5211.13 Min: 2076.07 / Avg: 2675.68 / Max: 2901.97 Min: 2415.02 / Avg: 2748.41 / Max: 3069.23 Min: 2581.88 / Avg: 2586.06 / Max: 2588.15 Min: 2882.34 / Avg: 2890.84 / Max: 2903.95 Min: 5204.76 / Avg: 5205.82 / Max: 5207.94 Min: 3942.1 / Avg: 4616.84 / Max: 5224.97 Min: 5372.13 / Avg: 5841.65 / Max: 6223.66 Min: 6008.6 / Avg: 6042.82 / Max: 6077.17 Min: 5195.24 / Avg: 5201.59 / Max: 5207.94 Min: 2409.56 / Avg: 2815.25 / Max: 3247.02 Min: 5754.29 / Avg: 5767.29 / Max: 5777.71 Min: 2497.13 / Avg: 2501.23 / Max: 2502.99 Min: 4942.11 / Avg: 4953.62 / Max: 4965.15 Min: 5229.25 / Avg: 5282.86 / Max: 5320.69 Min: 6144.37 / Avg: 6148.31 / Max: 6153.24 Min: 5504 / Avg: 5703.97 / Max: 5809.88 Min: 5935.35 / Avg: 5936.73 / Max: 5937.42 Min: 5204.76 / Avg: 5206.88 / Max: 5207.94 Min: 5311.84 / Avg: 5630.66 / Max: 6109.12 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 5 10 15 20 25 SE +/- 0.03, N = 3 SE +/- 0.23, N = 5 SE +/- 0.09, N = 3 SE +/- 0.18, N = 15 SE +/- 0.73, N = 15 SE +/- 0.26, N = 15 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.33, N = 15 SE +/- 0.14, N = 9 SE +/- 0.67, N = 15 SE +/- 0.27, N = 15 SE +/- 0.87, N = 15 SE +/- 0.01, N = 3 SE +/- 0.63, N = 15 SE +/- 0.23, N = 3 SE +/- 0.01, N = 3 SE +/- 0.39, N = 15 SE +/- 0.02, N = 3 15.83 17.49 15.92 17.38 18.58 17.03 17.37 16.47 13.67 16.52 14.49 18.48 18.32 18.05 15.74 18.79 16.65 16.21 16.34 14.28
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Sudokut 0.4 Total Time EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 5 10 15 20 25 Min: 15.77 / Avg: 15.83 / Max: 15.85 Min: 17.2 / Avg: 17.49 / Max: 18.42 Min: 15.8 / Avg: 15.92 / Max: 16.1 Min: 17.01 / Avg: 17.38 / Max: 19.75 Min: 17.09 / Avg: 18.58 / Max: 26.98 Min: 16.44 / Avg: 17.03 / Max: 20.4 Min: 17.27 / Avg: 17.37 / Max: 17.51 Min: 16.37 / Avg: 16.47 / Max: 16.56 Min: 13.65 / Avg: 13.67 / Max: 13.69 Min: 15.82 / Avg: 16.52 / Max: 20.97 Min: 14.13 / Avg: 14.49 / Max: 15.52 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: 15.73 / Avg: 15.74 / Max: 15.75 Min: 17.66 / Avg: 18.79 / Max: 27.36 Min: 16.31 / Avg: 16.65 / Max: 17.09 Min: 16.2 / Avg: 16.21 / Max: 16.23 Min: 15.79 / Avg: 16.34 / Max: 21.78 Min: 14.26 / Avg: 14.28 / Max: 14.31
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 80 160 240 320 400 SE +/- 9.97, N = 12 SE +/- 2.23, N = 6 SE +/- 1.25, N = 3 SE +/- 1.06, N = 3 SE +/- 3.90, N = 12 SE +/- 11.53, N = 12 SE +/- 6.80, N = 12 SE +/- 9.06, N = 12 SE +/- 2.88, N = 13 SE +/- 9.21, N = 12 SE +/- 1.50, N = 3 SE +/- 10.68, N = 12 SE +/- 1.30, N = 3 SE +/- 3.48, N = 12 SE +/- 8.97, N = 12 SE +/- 10.42, N = 12 SE +/- 11.01, N = 12 SE +/- 9.82, N = 12 SE +/- 10.13, N = 12 SE +/- 1.61, N = 3 345.90 188.74 97.73 106.11 243.53 361.48 297.54 319.28 238.98 334.92 113.78 351.36 109.04 238.57 326.87 348.39 335.81 344.22 346.64 358.44 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 60 120 180 240 300 Min: 236.5 / Avg: 345.9 / Max: 360.58 Min: 177.67 / Avg: 188.74 / Max: 191.63 Min: 95.24 / Avg: 97.73 / Max: 99.01 Min: 104 / Avg: 106.11 / Max: 107.2 Min: 200.8 / Avg: 243.53 / Max: 248.55 Min: 235.48 / Avg: 361.48 / Max: 379.27 Min: 223.13 / Avg: 297.54 / Max: 309.12 Min: 220.02 / Avg: 319.28 / Max: 333.7 Min: 205.2 / Avg: 238.98 / Max: 245 Min: 234.28 / Avg: 334.92 / Max: 350.06 Min: 110.82 / Avg: 113.78 / Max: 115.67 Min: 234.28 / Avg: 351.36 / Max: 365.85 Min: 106.48 / Avg: 109.04 / Max: 110.74 Min: 200.6 / Avg: 238.57 / Max: 244.7 Min: 228.66 / Avg: 326.87 / Max: 340.72 Min: 234.1 / Avg: 348.39 / Max: 361.88 Min: 214.9 / Avg: 335.81 / Max: 350.06 Min: 236.59 / Avg: 344.22 / Max: 358.64 Min: 235.57 / Avg: 346.64 / Max: 362.98 Min: 355.24 / Avg: 358.44 / Max: 360.36 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 40 80 120 160 200 SE +/- 1.64, N = 4 SE +/- 2.62, N = 15 SE +/- 3.56, N = 15 SE +/- 5.98, N = 15 SE +/- 1.45, N = 15 SE +/- 1.72, N = 15 SE +/- 0.30, N = 3 SE +/- 1.19, N = 3 SE +/- 0.23, N = 3 SE +/- 4.90, N = 15 SE +/- 4.11, N = 12 SE +/- 3.10, N = 15 SE +/- 1.76, N = 3 SE +/- 1.44, N = 4 SE +/- 0.39, N = 3 SE +/- 0.49, N = 3 SE +/- 1.96, N = 15 SE +/- 2.74, N = 15 SE +/- 3.83, N = 15 SE +/- 0.40, N = 3 117.90 96.21 88.75 111.65 102.38 92.79 128.43 95.70 58.39 116.69 116.35 135.92 130.69 103.72 114.82 110.10 162.69 164.37 97.49 67.27 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 30 60 90 120 150 Min: 113.07 / Avg: 117.9 / Max: 120.3 Min: 82.77 / Avg: 96.21 / Max: 112.24 Min: 74.15 / Avg: 88.75 / Max: 109.73 Min: 69.36 / Avg: 111.65 / Max: 138.39 Min: 92.81 / Avg: 102.38 / Max: 112.37 Min: 81.95 / Avg: 92.79 / Max: 107.52 Min: 127.84 / Avg: 128.43 / Max: 128.81 Min: 93.35 / Avg: 95.7 / Max: 97.15 Min: 57.97 / Avg: 58.39 / Max: 58.77 Min: 86 / Avg: 116.69 / Max: 132.44 Min: 92.23 / Avg: 116.35 / Max: 134.23 Min: 121.23 / Avg: 135.92 / Max: 159.98 Min: 127.21 / Avg: 130.69 / Max: 132.82 Min: 100.57 / Avg: 103.72 / Max: 106.94 Min: 114.39 / Avg: 114.82 / Max: 115.59 Min: 109.29 / Avg: 110.1 / Max: 110.98 Min: 153.2 / Avg: 162.69 / Max: 174.42 Min: 138.95 / Avg: 164.37 / Max: 181.75 Min: 80.07 / Avg: 97.49 / Max: 115 Min: 66.73 / Avg: 67.27 / Max: 68.06 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 15 30 45 60 75 SE +/- 0.54, N = 15 SE +/- 0.30, N = 3 SE +/- 0.69, N = 15 SE +/- 0.32, N = 3 SE +/- 0.80, N = 15 SE +/- 0.48, N = 15 SE +/- 0.13, N = 3 SE +/- 2.20, N = 12 SE +/- 0.37, N = 4 SE +/- 0.66, N = 4 SE +/- 0.11, N = 3 SE +/- 0.61, N = 12 SE +/- 0.49, N = 3 SE +/- 0.21, N = 3 SE +/- 0.34, N = 3 SE +/- 0.23, N = 15 SE +/- 0.37, N = 3 SE +/- 0.21, N = 15 SE +/- 0.25, N = 3 SE +/- 0.40, N = 15 27.09 51.78 62.73 66.44 50.11 26.85 35.70 30.87 27.95 45.83 54.81 23.30 66.89 34.28 29.56 18.97 21.59 20.11 21.95 27.32 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 13 26 39 52 65 Min: 24.2 / Avg: 27.09 / Max: 31.21 Min: 51.46 / Avg: 51.78 / Max: 52.37 Min: 58.95 / Avg: 62.73 / Max: 67.52 Min: 66.1 / Avg: 66.44 / Max: 67.07 Min: 44.96 / Avg: 50.11 / Max: 56.21 Min: 24.74 / Avg: 26.85 / Max: 30.62 Min: 35.47 / Avg: 35.7 / Max: 35.93 Min: 22.93 / Avg: 30.87 / Max: 52.08 Min: 27.11 / Avg: 27.95 / Max: 28.77 Min: 43.96 / Avg: 45.83 / Max: 47.03 Min: 54.67 / Avg: 54.81 / Max: 55.02 Min: 20.54 / Avg: 23.3 / Max: 27.57 Min: 66.25 / Avg: 66.89 / Max: 67.85 Min: 33.87 / Avg: 34.28 / Max: 34.57 Min: 29.08 / Avg: 29.56 / Max: 30.22 Min: 17.81 / Avg: 18.97 / Max: 20.22 Min: 20.85 / Avg: 21.59 / Max: 21.96 Min: 18.88 / Avg: 20.11 / Max: 21.3 Min: 21.63 / Avg: 21.95 / Max: 22.43 Min: 23.37 / Avg: 27.32 / Max: 28.84 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 120 240 360 480 600 SE +/- 16.69, N = 15 SE +/- 1.15, N = 3 SE +/- 1.45, N = 3 SE +/- 2.08, N = 3 SE +/- 31.42, N = 12 SE +/- 11.26, N = 15 SE +/- 6.21, N = 15 SE +/- 3.38, N = 3 SE +/- 12.76, N = 14 SE +/- 4.45, N = 15 SE +/- 5.66, N = 15 SE +/- 4.11, N = 5 SE +/- 7.12, N = 15 SE +/- 5.24, N = 3 SE +/- 9.46, N = 14 SE +/- 20.04, N = 15 SE +/- 3.76, N = 3 SE +/- 1.45, N = 3 410 518 516 530 333 260 347 296 563 234 337 262 321 533 475 484 482 420 529 517 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 100 200 300 400 500 Min: 280 / Avg: 409.53 / Max: 524 Min: 516 / Avg: 518 / Max: 520 Min: 527 / Avg: 529.67 / Max: 532 Min: 329 / Avg: 333 / Max: 336 Min: 184 / Avg: 260.17 / Max: 519 Min: 238 / Avg: 346.93 / Max: 407 Min: 255 / Avg: 296.4 / Max: 351 Min: 556 / Avg: 562.67 / Max: 567 Min: 188 / Avg: 234.43 / Max: 384 Min: 318 / Avg: 337.47 / Max: 377 Min: 229 / Avg: 262.07 / Max: 326 Min: 311 / Avg: 321.4 / Max: 335 Min: 425 / Avg: 475.2 / Max: 515 Min: 474 / Avg: 483.67 / Max: 492 Min: 375 / Avg: 482.29 / Max: 512 Min: 282 / Avg: 419.87 / Max: 503 Min: 522 / Avg: 528.67 / Max: 535 Min: 515 / Avg: 517.33 / Max: 520 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 200 400 600 800 1000 SE +/- 15.40, N = 14 SE +/- 3.69, N = 3 SE +/- 0.39, N = 3 SE +/- 10.58, N = 15 SE +/- 2.71, N = 3 SE +/- 17.83, N = 12 SE +/- 4.51, N = 3 SE +/- 7.08, N = 3 SE +/- 1.85, N = 3 SE +/- 11.73, N = 15 SE +/- 3.52, N = 3 SE +/- 10.65, N = 15 SE +/- 2.93, N = 3 SE +/- 0.89, N = 3 SE +/- 0.99, N = 3 SE +/- 13.69, N = 3 SE +/- 7.11, N = 3 SE +/- 14.16, N = 15 SE +/- 4.31, N = 3 SE +/- 4.46, N = 3 431.69 271.74 206.13 141.22 346.25 653.71 362.45 509.24 456.91 487.74 220.92 576.21 175.49 367.57 396.26 796.30 772.58 694.25 606.34 599.53 1. (CXX) g++ options: -rdynamic
Result Confidence
OpenBenchmarking.org GFLOPS, More Is Better ArrayFire 3.7 Test: BLAS CPU EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 140 280 420 560 700 Min: 397.82 / Avg: 431.69 / Max: 624.49 Min: 265.5 / Avg: 271.74 / Max: 278.29 Min: 205.42 / Avg: 206.13 / Max: 206.74 Min: 103.12 / Avg: 141.22 / Max: 185.75 Min: 343.18 / Avg: 346.25 / Max: 351.65 Min: 463.09 / Avg: 653.71 / Max: 684.82 Min: 354.07 / Avg: 362.45 / Max: 369.54 Min: 496.76 / Avg: 509.24 / Max: 521.25 Min: 453.26 / Avg: 456.91 / Max: 459.2 Min: 409.82 / Avg: 487.74 / Max: 551.45 Min: 216.26 / Avg: 220.92 / Max: 227.82 Min: 473.19 / Avg: 576.2 / Max: 636.28 Min: 172.22 / Avg: 175.49 / Max: 181.35 Min: 366.05 / Avg: 367.57 / Max: 369.13 Min: 394.83 / Avg: 396.26 / Max: 398.16 Min: 773.92 / Avg: 796.3 / Max: 821.15 Min: 758.61 / Avg: 772.58 / Max: 781.84 Min: 594.64 / Avg: 694.25 / Max: 820.64 Min: 598.79 / Avg: 606.34 / Max: 613.71 Min: 594.65 / Avg: 599.53 / Max: 608.44 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 800 1600 2400 3200 4000 SE +/- 422.20, N = 3 SE +/- 200.91, N = 3 SE +/- 6.93, N = 3 SE +/- 129.50, N = 3 SE +/- 242.72, N = 3 SE +/- 495.38, N = 3 SE +/- 7.15, N = 3 SE +/- 19.67, N = 3 SE +/- 12.02, N = 3 SE +/- 493.42, N = 3 SE +/- 548.83, N = 3 SE +/- 440.15, N = 3 SE +/- 318.01, N = 3 SE +/- 6.61, N = 3 SE +/- 441.67, N = 3 SE +/- 2.08, N = 3 SE +/- 1.18, N = 3 SE +/- 2.71, N = 3 SE +/- 0.07, N = 3 SE +/- 1.49, N = 3 2514.98 2211.14 3132.86 2658.82 2320.51 2652.66 2902.87 1701.71 3607.20 2612.89 2832.36 2616.75 2249.65 3057.21 2521.24 3049.43 3094.40 3069.17 3112.17 3436.63 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 600 1200 1800 2400 3000 Min: 1700.09 / Avg: 2514.98 / Max: 3114.09 Min: 1922.03 / Avg: 2211.14 / Max: 2597.38 Min: 3119.77 / Avg: 3132.86 / Max: 3143.35 Min: 2445.92 / Avg: 2658.82 / Max: 2893.01 Min: 2016.82 / Avg: 2320.51 / Max: 2800.33 Min: 1661.91 / Avg: 2652.66 / Max: 3150.08 Min: 2892.68 / Avg: 2902.87 / Max: 2916.64 Min: 1681.92 / Avg: 1701.71 / Max: 1741.04 Min: 3584.25 / Avg: 3607.2 / Max: 3624.86 Min: 1626.06 / Avg: 2612.89 / Max: 3108.82 Min: 1753.8 / Avg: 2832.36 / Max: 3548.23 Min: 1736.48 / Avg: 2616.75 / Max: 3063.37 Min: 1645.77 / Avg: 2249.65 / Max: 2724.44 Min: 3049.05 / Avg: 3057.21 / Max: 3070.3 Min: 1656.97 / Avg: 2521.24 / Max: 3111.49 Min: 3045.64 / Avg: 3049.43 / Max: 3052.79 Min: 3092.13 / Avg: 3094.4 / Max: 3096.1 Min: 3065.99 / Avg: 3069.17 / Max: 3074.55 Min: 3112.04 / Avg: 3112.17 / Max: 3112.26 Min: 3434.39 / Avg: 3436.63 / Max: 3439.46 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 300 600 900 1200 1500 SE +/- 82.14, N = 3 SE +/- 64.65, N = 3 SE +/- 3.55, N = 3 SE +/- 4.60, N = 3 SE +/- 20.11, N = 3 SE +/- 81.65, N = 3 SE +/- 2.18, N = 3 SE +/- 47.01, N = 3 SE +/- 1.04, N = 3 SE +/- 75.65, N = 3 SE +/- 82.02, N = 3 SE +/- 81.52, N = 3 SE +/- 71.13, N = 3 SE +/- 4.96, N = 3 SE +/- 68.19, N = 3 SE +/- 0.49, N = 3 SE +/- 1.62, N = 3 SE +/- 1.27, N = 3 SE +/- 3.28, N = 3 SE +/- 3.54, N = 3 947.33 901.96 1029.57 960.86 955.20 952.81 964.85 848.08 1175.98 936.27 1079.45 929.80 894.15 1000.90 942.29 1002.31 1018.42 1008.78 1021.83 1114.68 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 200 400 600 800 1000 Min: 783.13 / Avg: 947.33 / Max: 1033.92 Min: 772.85 / Avg: 901.96 / Max: 972.66 Min: 1025.21 / Avg: 1029.57 / Max: 1036.6 Min: 954.7 / Avg: 960.86 / Max: 969.85 Min: 915.2 / Avg: 955.2 / Max: 978.93 Min: 789.57 / Avg: 952.81 / Max: 1038.11 Min: 961.16 / Avg: 964.85 / Max: 968.71 Min: 785.58 / Avg: 848.08 / Max: 940.15 Min: 1174.88 / Avg: 1175.98 / Max: 1178.07 Min: 785.84 / Avg: 936.27 / Max: 1025.47 Min: 915.99 / Avg: 1079.45 / Max: 1173.22 Min: 766.8 / Avg: 929.8 / Max: 1014.44 Min: 752.08 / Avg: 894.15 / Max: 971.61 Min: 993.83 / Avg: 1000.9 / Max: 1010.46 Min: 806.83 / Avg: 942.29 / Max: 1023.79 Min: 1001.8 / Avg: 1002.31 / Max: 1003.3 Min: 1015.67 / Avg: 1018.42 / Max: 1021.29 Min: 1006.3 / Avg: 1008.78 / Max: 1010.53 Min: 1015.81 / Avg: 1021.83 / Max: 1027.1 Min: 1110.44 / Avg: 1114.68 / Max: 1121.72 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 50 100 150 200 250 SE +/- 50.46, N = 3 SE +/- 46.05, N = 3 SE +/- 0.43, N = 3 SE +/- 45.94, N = 3 SE +/- 2.94, N = 3 SE +/- 47.26, N = 3 SE +/- 4.10, N = 3 SE +/- 0.55, N = 3 SE +/- 0.41, N = 3 SE +/- 48.56, N = 3 SE +/- 59.48, N = 3 SE +/- 51.82, N = 3 SE +/- 45.74, N = 3 SE +/- 0.21, N = 3 SE +/- 48.53, N = 3 SE +/- 0.18, N = 3 SE +/- 0.34, N = 3 SE +/- 0.34, N = 3 SE +/- 1.61, N = 3 SE +/- 0.67, N = 3 152.26 153.02 222.53 177.20 215.39 142.76 208.87 59.16 246.84 136.16 165.44 155.45 138.46 217.13 136.32 217.61 219.29 218.05 220.75 238.95 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 40 80 120 160 200 Min: 53.81 / Avg: 152.26 / Max: 220.66 Min: 62.31 / Avg: 153.02 / Max: 212.16 Min: 221.98 / Avg: 222.53 / Max: 223.37 Min: 85.34 / Avg: 177.2 / Max: 224.62 Min: 210.51 / Avg: 215.39 / Max: 220.66 Min: 54.01 / Avg: 142.76 / Max: 215.31 Min: 201.85 / Avg: 208.87 / Max: 216.06 Min: 58.56 / Avg: 59.16 / Max: 60.27 Min: 246.02 / Avg: 246.84 / Max: 247.31 Min: 52.74 / Avg: 136.16 / Max: 220.93 Min: 59.02 / Avg: 165.44 / Max: 264.68 Min: 52.37 / Avg: 155.45 / Max: 216.32 Min: 50.36 / Avg: 138.46 / Max: 203.87 Min: 216.85 / Avg: 217.13 / Max: 217.53 Min: 52.37 / Avg: 136.32 / Max: 220.49 Min: 217.32 / Avg: 217.61 / Max: 217.93 Min: 218.94 / Avg: 219.29 / Max: 219.97 Min: 217.48 / Avg: 218.05 / Max: 218.65 Min: 217.94 / Avg: 220.75 / Max: 223.53 Min: 237.63 / Avg: 238.95 / Max: 239.78 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 300 600 900 1200 1500 SE +/- 24.59, N = 12 SE +/- 9.53, N = 15 SE +/- 1.94, N = 3 SE +/- 18.61, N = 3 SE +/- 14.92, N = 15 SE +/- 31.69, N = 12 SE +/- 2.55, N = 3 SE +/- 9.24, N = 3 SE +/- 2.36, N = 3 SE +/- 29.87, N = 12 SE +/- 30.94, N = 12 SE +/- 29.19, N = 12 SE +/- 19.13, N = 12 SE +/- 2.35, N = 3 SE +/- 25.76, N = 12 SE +/- 0.53, N = 3 SE +/- 0.48, N = 3 SE +/- 0.30, N = 3 SE +/- 0.26, N = 3 SE +/- 0.36, N = 3 1134.81 982.41 1289.24 1146.70 999.97 1257.83 1196.83 919.11 1478.66 1221.20 1285.35 1228.75 1069.16 1255.12 1121.56 1253.87 1271.07 1259.32 1277.04 1406.47 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 300 600 900 1200 1500 Min: 910.18 / Avg: 1134.81 / Max: 1270.44 Min: 939.13 / Avg: 982.41 / Max: 1071.56 Min: 1285.92 / Avg: 1289.24 / Max: 1292.64 Min: 1112.88 / Avg: 1146.7 / Max: 1177.09 Min: 948.09 / Avg: 999.97 / Max: 1184.38 Min: 909.58 / Avg: 1257.83 / Max: 1297.69 Min: 1193.47 / Avg: 1196.83 / Max: 1201.83 Min: 901.96 / Avg: 919.11 / Max: 933.64 Min: 1474.13 / Avg: 1478.66 / Max: 1482.06 Min: 895.88 / Avg: 1221.2 / Max: 1276.33 Min: 1014.45 / Avg: 1285.35 / Max: 1450.78 Min: 907.78 / Avg: 1228.75 / Max: 1260.03 Min: 874.4 / Avg: 1069.16 / Max: 1158.71 Min: 1252.74 / Avg: 1255.12 / Max: 1259.81 Min: 907.36 / Avg: 1121.56 / Max: 1260.46 Min: 1252.91 / Avg: 1253.87 / Max: 1254.73 Min: 1270.13 / Avg: 1271.07 / Max: 1271.69 Min: 1258.72 / Avg: 1259.32 / Max: 1259.65 Min: 1276.54 / Avg: 1277.04 / Max: 1277.4 Min: 1405.9 / Avg: 1406.47 / Max: 1407.13 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 100 200 300 400 500 SE +/- 15.99, N = 20 SE +/- 1.52, N = 5 SE +/- 15.21, N = 25 SE +/- 14.80, N = 25 SE +/- 22.93, N = 25 SE +/- 13.49, N = 25 SE +/- 14.00, N = 25 SE +/- 23.32, N = 20 SE +/- 11.04, N = 25 SE +/- 1.64, N = 5 SE +/- 12.51, N = 25 SE +/- 21.33, N = 25 SE +/- 15.81, N = 25 SE +/- 11.79, N = 25 SE +/- 14.93, N = 25 SE +/- 11.21, N = 25 SE +/- 25.67, N = 25 SE +/- 21.47, N = 25 SE +/- 11.31, N = 25 SE +/- 13.97, N = 25 241.79 370.48 432.49 441.46 364.78 241.25 271.20 269.25 250.68 204.36 368.41 268.58 466.72 276.42 275.81 243.14 287.37 282.25 231.51 246.88
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better Renaissance 0.10.0 Test: Apache Spark Bayes EPYC 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 80 160 240 320 400 Min: 185.18 / Avg: 241.79 / Max: 384.77 Min: 366.9 / Avg: 370.48 / Max: 375.93 Min: 361.13 / Avg: 432.49 / Max: 579.95 Min: 381.45 / Avg: 441.46 / Max: 592.92 Min: 211.41 / Avg: 364.78 / Max: 468.13 Min: 180.66 / Avg: 241.25 / Max: 373.27 Min: 217.65 / Avg: 271.19 / Max: 387.98 Min: 189.88 / Avg: 269.25 / Max: 637.24 Min: 170.97 / Avg: 250.68 / Max: 320.09 Min: 200.37 / Avg: 204.36 / Max: 208.19 Min: 316.64 / Avg: 368.41 / Max: 507.82 Min: 189.05 / Avg: 268.58 / Max: 624.53 Min: 386.04 / Avg: 466.72 / Max: 622.34 Min: 206.33 / Avg: 276.42 / Max: 340.46 Min: 199.24 / Avg: 275.81 / Max: 366.89 Min: 188.94 / Avg: 243.14 / Max: 319.52 Min: 192.05 / Avg: 287.37 / Max: 640.46 Min: 193.18 / Avg: 282.25 / Max: 625.34 Min: 186.86 / Avg: 231.51 / Max: 348.08 Min: 175.84 / Avg: 246.88 / Max: 335.73
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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 5 10 15 20 25 SE +/- 0.242, N = 15 SE +/- 0.205, N = 12 SE +/- 0.007, N = 3 SE +/- 0.114, N = 15 SE +/- 0.130, N = 15 SE +/- 0.215, N = 15 SE +/- 0.105, N = 3 SE +/- 0.203, N = 5 SE +/- 0.137, N = 6 SE +/- 0.177, N = 3 SE +/- 0.185, N = 15 SE +/- 0.230, N = 15 SE +/- 0.005, N = 3 SE +/- 0.199, N = 13 SE +/- 0.177, N = 15 SE +/- 0.228, N = 15 SE +/- 0.232, N = 3 SE +/- 0.063, N = 3 SE +/- 0.211, N = 15 SE +/- 0.090, N = 3 15.390 5.981 5.629 4.120 9.199 16.291 9.911 15.923 11.802 15.005 5.351 18.500 5.179 9.909 13.636 18.868 17.483 20.733 16.068 15.031 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 5 10 15 20 25 Min: 13.7 / Avg: 15.39 / Max: 16.83 Min: 5.4 / Avg: 5.98 / Max: 7.44 Min: 5.62 / Avg: 5.63 / Max: 5.64 Min: 3.76 / Avg: 4.12 / Max: 5.14 Min: 8.19 / Avg: 9.2 / Max: 9.67 Min: 14.81 / Avg: 16.29 / Max: 17.5 Min: 9.7 / Avg: 9.91 / Max: 10.04 Min: 15.54 / Avg: 15.92 / Max: 16.65 Min: 11.32 / Avg: 11.8 / Max: 12.16 Min: 14.83 / Avg: 15.01 / Max: 15.36 Min: 4.56 / Avg: 5.35 / Max: 6.38 Min: 17.42 / Avg: 18.5 / Max: 20.22 Min: 5.17 / Avg: 5.18 / Max: 5.19 Min: 7.78 / Avg: 9.91 / Max: 10.32 Min: 11.81 / Avg: 13.64 / Max: 14.45 Min: 17.98 / Avg: 18.87 / Max: 20.52 Min: 17.07 / Avg: 17.48 / Max: 17.88 Min: 20.64 / Avg: 20.73 / Max: 20.85 Min: 13.91 / Avg: 16.07 / Max: 17.1 Min: 14.86 / Avg: 15.03 / Max: 15.17 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 9K 18K 27K 36K 45K SE +/- 1308.67, N = 15 SE +/- 104.09, N = 3 SE +/- 7.64, N = 3 SE +/- 711.02, N = 15 SE +/- 1278.01, N = 15 SE +/- 1430.66, N = 15 SE +/- 652.75, N = 15 SE +/- 11.31, N = 3 SE +/- 1015.18, N = 15 SE +/- 1302.14, N = 15 SE +/- 586.59, N = 3 SE +/- 1424.04, N = 15 SE +/- 57.07, N = 3 SE +/- 6.76, N = 3 SE +/- 57.49, N = 3 SE +/- 262.24, N = 3 SE +/- 84.86, N = 3 SE +/- 583.46, N = 15 SE +/- 1247.03, N = 15 SE +/- 7.94, N = 3 37912.29 40098.62 29752.76 37495.07 36438.99 34154.76 38609.83 29592.44 31875.18 37812.30 39389.32 36193.24 40558.04 29733.57 40792.92 40458.23 40334.91 30578.87 33147.39 29855.75 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 7K 14K 21K 28K 35K Min: 29776 / Avg: 37912.29 / Max: 41166.9 Min: 39971.87 / Avg: 40098.62 / Max: 40305.01 Min: 29743.69 / Avg: 29752.76 / Max: 29767.94 Min: 32725.36 / Avg: 37495.07 / Max: 40076.38 Min: 29762.68 / Avg: 36438.99 / Max: 40720.85 Min: 29697.37 / Avg: 34154.76 / Max: 40916.91 Min: 32113.62 / Avg: 38609.83 / Max: 40643.86 Min: 29573.86 / Avg: 29592.44 / Max: 29612.91 Min: 29896.6 / Avg: 31875.18 / Max: 41391.48 Min: 29689.09 / Avg: 37812.3 / Max: 40880.42 Min: 38770.78 / Avg: 39389.32 / Max: 40561.91 Min: 29591.39 / Avg: 36193.24 / Max: 40756.03 Min: 40474.32 / Avg: 40558.04 / Max: 40667.1 Min: 29723.86 / Avg: 29733.57 / Max: 29746.57 Min: 40715.13 / Avg: 40792.92 / Max: 40905.15 Min: 39956.62 / Avg: 40458.23 / Max: 40841.69 Min: 40187.86 / Avg: 40334.91 / Max: 40481.82 Min: 29669.64 / Avg: 30578.87 / Max: 36747.81 Min: 29697.43 / Avg: 33147.39 / Max: 40789.11 Min: 29845.63 / Avg: 29855.75 / Max: 29871.4 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 10K 20K 30K 40K 50K SE +/- 326.35, N = 3 SE +/- 1144.65, N = 15 SE +/- 1250.59, N = 15 SE +/- 605.87, N = 4 SE +/- 1655.33, N = 15 SE +/- 1238.87, N = 15 SE +/- 673.18, N = 3 SE +/- 10.39, N = 3 SE +/- 167.17, N = 3 SE +/- 1258.25, N = 15 SE +/- 431.79, N = 9 SE +/- 1586.62, N = 15 SE +/- 1719.43, N = 12 SE +/- 312.09, N = 3 SE +/- 111.00, N = 3 SE +/- 26.84, N = 3 SE +/- 1473.07, N = 12 SE +/- 1607.53, N = 15 SE +/- 479.86, N = 3 SE +/- 13.00, N = 3 44796.65 39879.28 42868.08 42471.92 39609.55 32746.75 43731.73 30795.24 44653.46 42824.88 43604.57 34508.28 39912.22 44525.20 44173.72 44086.19 39856.39 34465.10 31430.04 30954.76 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 8K 16K 24K 32K 40K Min: 44145.93 / Avg: 44796.65 / Max: 45166.05 Min: 30735.34 / Avg: 39879.28 / Max: 44320.16 Min: 30970.36 / Avg: 42868.08 / Max: 45395.84 Min: 40736.88 / Avg: 42471.92 / Max: 43372.52 Min: 30905.95 / Avg: 39609.55 / Max: 44976.02 Min: 30899.28 / Avg: 32746.75 / Max: 44718.56 Min: 42436.77 / Avg: 43731.73 / Max: 44698.31 Min: 30777.85 / Avg: 30795.24 / Max: 30813.79 Min: 44325.37 / Avg: 44653.46 / Max: 44873.2 Min: 30852 / Avg: 42824.88 / Max: 45551.95 Min: 40992.79 / Avg: 43604.57 / Max: 45136.73 Min: 30711.53 / Avg: 34508.28 / Max: 44831.88 Min: 30839.49 / Avg: 39912.22 / Max: 44942.72 Min: 44078.73 / Avg: 44525.2 / Max: 45126.2 Min: 43953.63 / Avg: 44173.72 / Max: 44308.89 Min: 44054.6 / Avg: 44086.19 / Max: 44139.58 Min: 30861.15 / Avg: 39856.39 / Max: 45375.85 Min: 30757.27 / Avg: 34465.1 / Max: 45059.28 Min: 30933.72 / Avg: 31430.04 / Max: 32389.56 Min: 30928.79 / Avg: 30954.76 / Max: 30968.63 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 8K 16K 24K 32K 40K SE +/- 1184.84, N = 15 SE +/- 595.11, N = 3 SE +/- 805.76, N = 15 SE +/- 1027.10, N = 12 SE +/- 1005.60, N = 15 SE +/- 809.42, N = 15 SE +/- 259.53, N = 3 SE +/- 7.75, N = 3 SE +/- 1117.17, N = 15 SE +/- 1361.34, N = 15 SE +/- 453.53, N = 6 SE +/- 281.32, N = 3 SE +/- 1342.99, N = 15 SE +/- 991.03, N = 15 SE +/- 190.07, N = 3 SE +/- 1193.70, N = 15 SE +/- 1304.15, N = 12 SE +/- 1423.80, N = 15 SE +/- 21.16, N = 3 SE +/- 1393.40, N = 15 31886.75 38287.21 37752.01 35780.10 36075.79 30650.76 39129.02 28833.07 31998.12 32972.78 38204.50 39290.98 34824.99 30300.97 39500.82 31400.38 34333.32 34675.89 28922.64 33193.10 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 7K 14K 21K 28K 35K Min: 28786.75 / Avg: 31886.75 / Max: 40051.06 Min: 37254.45 / Avg: 38287.21 / Max: 39315.97 Min: 28871.15 / Avg: 37752.01 / Max: 40001.21 Min: 28785.93 / Avg: 35780.1 / Max: 38995.76 Min: 28858.64 / Avg: 36075.79 / Max: 39965.31 Min: 28877.33 / Avg: 30650.76 / Max: 37858.63 Min: 38835.57 / Avg: 39129.02 / Max: 39646.52 Min: 28817.58 / Avg: 28833.07 / Max: 28841.12 Min: 29021.31 / Avg: 31998.12 / Max: 39806.02 Min: 28842.8 / Avg: 32972.78 / Max: 40047.41 Min: 36621.29 / Avg: 38204.5 / Max: 39661.73 Min: 38805.87 / Avg: 39290.98 / Max: 39780.38 Min: 28802.15 / Avg: 34824.99 / Max: 39755.82 Min: 28779.54 / Avg: 30300.97 / Max: 39971.89 Min: 39229.86 / Avg: 39500.82 / Max: 39867.21 Min: 28556.23 / Avg: 31400.38 / Max: 38984.63 Min: 28806.96 / Avg: 34333.32 / Max: 39623.27 Min: 28796.99 / Avg: 34675.89 / Max: 39936.31 Min: 28897.62 / Avg: 28922.64 / Max: 28964.71 Min: 28912.46 / Avg: 33193.1 / Max: 40197.83 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 8K 16K 24K 32K 40K SE +/- 535.38, N = 14 SE +/- 605.24, N = 15 SE +/- 78.47, N = 3 SE +/- 505.40, N = 15 SE +/- 878.51, N = 15 SE +/- 20.47, N = 3 SE +/- 379.71, N = 15 SE +/- 1.86, N = 3 SE +/- 57.19, N = 3 SE +/- 888.64, N = 15 SE +/- 316.68, N = 10 SE +/- 830.97, N = 15 SE +/- 900.70, N = 15 SE +/- 54.01, N = 3 SE +/- 624.60, N = 12 SE +/- 112.67, N = 3 SE +/- 754.39, N = 15 SE +/- 926.99, N = 15 SE +/- 884.91, N = 15 SE +/- 71.12, N = 3 29143.48 33289.76 35993.47 33796.07 31690.52 28648.25 34859.66 28516.07 36650.26 33375.87 35283.08 30290.94 33225.43 35997.33 35348.11 35410.82 34096.66 30957.09 31028.93 36296.45 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 7502 EPYC 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 6K 12K 18K 24K 30K Min: 28548.66 / Avg: 29143.48 / Max: 36102.48 Min: 28386 / Avg: 33289.76 / Max: 35700.74 Min: 35840.78 / Avg: 35993.47 / Max: 36101.24 Min: 29768.36 / Avg: 33796.07 / Max: 35632.71 Min: 28467.99 / Avg: 31690.52 / Max: 36046.92 Min: 28608.01 / Avg: 28648.25 / Max: 28674.85 Min: 30696.8 / Avg: 34859.66 / Max: 35822.28 Min: 28514.02 / Avg: 28516.07 / Max: 28519.78 Min: 36536.09 / Avg: 36650.26 / Max: 36713.44 Min: 28511.86 / Avg: 33375.87 / Max: 36057.31 Min: 33173.71 / Avg: 35283.08 / Max: 36199.16 Min: 28386.9 / Avg: 30290.94 / Max: 35939.81 Min: 28424.7 / Avg: 33225.43 / Max: 35855.69 Min: 35901.3 / Avg: 35997.33 / Max: 36088.2 Min: 28486.35 / Avg: 35348.11 / Max: 36099.77 Min: 35267.72 / Avg: 35410.82 / Max: 35633.12 Min: 28489.67 / Avg: 34096.66 / Max: 36095.19 Min: 28467.39 / Avg: 30957.09 / Max: 36036.16 Min: 28488.68 / Avg: 31028.93 / Max: 36158.98 Min: 36205.85 / Avg: 36296.45 / Max: 36436.71 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 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 9K 18K 27K 36K 45K SE +/- 373.43, N = 13 SE +/- 1073.34, N = 15 SE +/- 1332.08, N = 15 SE +/- 1025.97, N = 15 SE +/- 1264.73, N = 15 SE +/- 874.93, N = 15 SE +/- 492.75, N = 15 SE +/- 780.64, N = 15 SE +/- 1767.24, N = 12 SE +/- 608.18, N = 4 SE +/- 523.42, N = 3 SE +/- 42.49, N = 3 SE +/- 1470.68, N = 15 SE +/- 105.39, N = 3 SE +/- 1166.90, N = 15 SE +/- 1453.80, N = 15 SE +/- 1241.24, N = 15 SE +/- 795.56, N = 15 SE +/- 1500.19, N = 15 SE +/- 285.80, N = 3 31137.04 38461.11 39802.05 37826.40 37214.09 32096.98 41379.54 31770.21 36546.04 42122.70 41386.61 42701.74 36365.94 42792.16 39574.47 34934.58 39537.66 31516.89 35252.61 42539.39 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 7272 EPYC 7262 EPYC 7252 EPYC 7282 EPYC 7542 EPYC 7352 EPYC 7532 EPYC 7F52 EPYC 7452 EPYC 7F32 EPYC 7552 EPYC 7232P EPYC 7302P EPYC 7402P EPYC 7642 EPYC 7702 EPYC 7662 EPYC 7502P EPYC 7F72 7K 14K 21K 28K 35K Min: 30718.74 / Avg: 31137.04 / Max: 35616.86 Min: 31707.88 / Avg: 38461.11 / Max: 42120.8 Min: 30778.85 / Avg: 39802.05 / Max: 42975.71 Min: 30450.13 / Avg: 37826.4 / Max: 41664.04 Min: 30700.49 / Avg: 37214.09 / Max: 42664.5 Min: 30840.22 / Avg: 32096.98 / Max: 43103.18 Min: 36500.03 / Avg: 41379.54 / Max: 42631.69 Min: 30621.49 / Avg: 31770.21 / Max: 41410.02 Min: 31012.57 / Avg: 36546.04 / Max: 43442.72 Min: 40298.4 / Avg: 42122.7 / Max: 42759.19 Min: 40397.09 / Avg: 41386.61 / Max: 42177.24 Min: 42627.17 / Avg: 42701.74 / Max: 42774.31 Min: 30678.26 / Avg: 36365.94 / Max: 42678.53 Min: 42583.25 / Avg: 42792.16 / Max: 42920.88 Min: 30763.21 / Avg: 39574.47 / Max: 42896.97 Min: 30463.06 / Avg: 34934.58 / Max: 42519.99 Min: 30632.91 / Avg: 39537.66 / Max: 42785.08 Min: 30659.38 / Avg: 31516.89 / Max: 42653.89 Min: 30703.43 / Avg: 35252.61 / Max: 42875.53 Min: 42011.63 / Avg: 42539.39 / Max: 42993.4 1. (CC) gcc options: -O3 -march=native
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.
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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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.