Benchmarks for a future article of various 1P AMD EPYC performance tests.
ACES DGEMM This is a multi-threaded DGEMM benchmark. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org GFLOP/s, More Is Better ACES DGEMM 1.0 Sustained Floating-Point Rate EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 4 8 12 16 20 SE +/- 0.016232, N = 3 SE +/- 0.031130, N = 3 SE +/- 0.017368, N = 3 SE +/- 0.042595, N = 3 SE +/- 0.060143, N = 3 SE +/- 0.039936, N = 3 SE +/- 0.089451, N = 3 SE +/- 0.077277, N = 3 SE +/- 0.111318, N = 3 SE +/- 0.079585, N = 15 SE +/- 0.075924, N = 3 SE +/- 0.105342, N = 3 SE +/- 0.148138, N = 3 SE +/- 0.118524, N = 15 SE +/- 0.194041, N = 3 SE +/- 0.267671, N = 3 SE +/- 0.249884, N = 3 SE +/- 0.032837, N = 3 SE +/- 0.050387, N = 3 SE +/- 0.044903, N = 3 1.667038 2.583445 2.717810 3.613094 4.499071 5.054392 6.740164 7.273022 8.907940 9.308025 9.488085 9.732388 9.218407 12.678299 13.770619 16.544917 15.188358 2.969549 6.194514 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 4 8 12 16 20 Min: 1.64 / Avg: 1.67 / Max: 1.7 Min: 2.54 / Avg: 2.58 / Max: 2.64 Min: 2.69 / Avg: 2.72 / Max: 2.74 Min: 3.53 / Avg: 3.61 / Max: 3.67 Min: 4.42 / Avg: 4.5 / Max: 4.62 Min: 4.99 / Avg: 5.05 / Max: 5.12 Min: 6.59 / Avg: 6.74 / Max: 6.9 Min: 7.17 / Avg: 7.27 / Max: 7.43 Min: 8.75 / Avg: 8.91 / Max: 9.12 Min: 8.67 / Avg: 9.31 / Max: 9.63 Min: 9.38 / Avg: 9.49 / Max: 9.63 Min: 9.53 / Avg: 9.73 / Max: 9.89 Min: 8.94 / Avg: 9.22 / Max: 9.44 Min: 11.57 / Avg: 12.68 / Max: 13.15 Min: 13.39 / Avg: 13.77 / Max: 14.03 Min: 16.11 / Avg: 16.54 / Max: 17.03 Min: 14.9 / Avg: 15.19 / Max: 15.69 Min: 2.92 / Avg: 2.97 / Max: 3.03 Min: 6.14 / Avg: 6.19 / Max: 6.29 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 200 400 600 800 1000 SE +/- 0.16, N = 3 SE +/- 0.27, N = 3 SE +/- 0.48, N = 3 SE +/- 0.75, N = 3 SE +/- 0.99, N = 3 SE +/- 0.91, N = 3 SE +/- 1.19, N = 3 SE +/- 0.44, N = 3 SE +/- 2.15, N = 3 SE +/- 1.49, N = 3 SE +/- 1.84, N = 3 SE +/- 0.86, N = 3 SE +/- 0.49, N = 3 SE +/- 1.69, N = 3 SE +/- 3.65, N = 3 SE +/- 1.24, N = 3 SE +/- 0.14, N = 3 SE +/- 0.44, N = 3 SE +/- 0.37, N = 3 SE +/- 0.29, N = 3 118.38 116.86 111.22 186.52 252.79 228.74 344.22 363.24 474.52 482.08 483.78 448.37 481.77 700.86 679.67 922.75 904.46 115.82 230.59 352.52 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 160 320 480 640 800 Min: 118.19 / Avg: 118.38 / Max: 118.69 Min: 116.48 / Avg: 116.86 / Max: 117.39 Min: 110.53 / Avg: 111.22 / Max: 112.15 Min: 185.02 / Avg: 186.52 / Max: 187.35 Min: 250.98 / Avg: 252.79 / Max: 254.38 Min: 226.95 / Avg: 228.74 / Max: 229.95 Min: 341.85 / Avg: 344.22 / Max: 345.65 Min: 362.51 / Avg: 363.24 / Max: 364.04 Min: 470.58 / Avg: 474.52 / Max: 477.98 Min: 479.91 / Avg: 482.08 / Max: 484.94 Min: 481.18 / Avg: 483.78 / Max: 487.34 Min: 447.48 / Avg: 448.37 / Max: 450.08 Min: 481.21 / Avg: 481.77 / Max: 482.74 Min: 697.7 / Avg: 700.86 / Max: 703.5 Min: 673.23 / Avg: 679.67 / Max: 685.86 Min: 920.64 / Avg: 922.75 / Max: 924.95 Min: 904.23 / Avg: 904.46 / Max: 904.72 Min: 115.15 / Avg: 115.82 / Max: 116.65 Min: 229.85 / Avg: 230.59 / Max: 231.04 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 2M 4M 6M 8M 10M SE +/- 699.96, N = 3 SE +/- 2002.32, N = 3 SE +/- 1503.17, N = 3 SE +/- 1404.08, N = 3 SE +/- 2401.91, N = 3 SE +/- 3591.62, N = 3 SE +/- 2929.41, N = 3 SE +/- 15685.26, N = 3 SE +/- 20238.04, N = 3 SE +/- 25409.49, N = 3 SE +/- 4978.84, N = 3 SE +/- 6229.17, N = 3 SE +/- 33103.80, N = 3 SE +/- 17764.90, N = 3 SE +/- 7510.98, N = 3 SE +/- 36035.92, N = 3 SE +/- 8815.15, N = 3 SE +/- 643.25, N = 3 SE +/- 10192.76, N = 3 SE +/- 4355.00, N = 3 1081706.29 1081054.66 1068384.20 1655038.96 2217376.84 2155404.24 3189832.78 3235018.08 4372996.35 4353781.68 4353954.55 4389847.95 4395637.93 6519097.16 6435677.98 8774129.37 8681304.25 1123267.36 2296867.17 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 1.5M 3M 4.5M 6M 7.5M Min: 1080345.15 / Avg: 1081706.29 / Max: 1082670.26 Min: 1077860.45 / Avg: 1081054.66 / Max: 1084743.56 Min: 1066535.45 / Avg: 1068384.2 / Max: 1071361.67 Min: 1652768.13 / Avg: 1655038.96 / Max: 1657605.05 Min: 2212830.65 / Avg: 2217376.84 / Max: 2220994.04 Min: 2149676.3 / Avg: 2155404.24 / Max: 2162022.17 Min: 3184238.18 / Avg: 3189832.78 / Max: 3194136.61 Min: 3203671.95 / Avg: 3235018.08 / Max: 3251762.1 Min: 4340438.81 / Avg: 4372996.35 / Max: 4410101.54 Min: 4316973 / Avg: 4353781.68 / Max: 4402530.17 Min: 4344204.7 / Avg: 4353954.55 / Max: 4360582.14 Min: 4379647.09 / Avg: 4389847.95 / Max: 4401142.29 Min: 4361662.69 / Avg: 4395637.93 / Max: 4461837.82 Min: 6484408.43 / Avg: 6519097.16 / Max: 6543096.92 Min: 6422749.86 / Avg: 6435677.98 / Max: 6448767.17 Min: 8703722.9 / Avg: 8774129.37 / Max: 8822672.77 Min: 8668605.07 / Avg: 8681304.25 / Max: 8698244.81 Min: 1121983.91 / Avg: 1123267.36 / Max: 1123985.77 Min: 2282258.59 / Avg: 2296867.17 / Max: 2316484.82 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 16K 32K 48K 64K 80K SE +/- 5.36, N = 3 SE +/- 33.95, N = 3 SE +/- 22.52, N = 3 SE +/- 58.71, N = 3 SE +/- 2.73, N = 3 SE +/- 20.42, N = 3 SE +/- 111.57, N = 3 SE +/- 78.29, N = 3 SE +/- 99.32, N = 3 SE +/- 50.84, N = 3 SE +/- 25.03, N = 3 SE +/- 8.37, N = 3 SE +/- 66.64, N = 3 SE +/- 39.72, N = 3 SE +/- 27.43, N = 3 SE +/- 107.31, N = 3 SE +/- 108.39, N = 3 SE +/- 20.85, N = 3 SE +/- 17.90, N = 3 SE +/- 170.86, N = 3 11027 10441 11685 15594 22039 22695 29439 34101 41176 44279 44348 43396 45255 61138 61922 74411 66272 12832 26828 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 13K 26K 39K 52K 65K Min: 11017 / Avg: 11027.33 / Max: 11035 Min: 10374 / Avg: 10441 / Max: 10484 Min: 11640 / Avg: 11684.67 / Max: 11712 Min: 15480 / Avg: 15593.67 / Max: 15676 Min: 22034 / Avg: 22039.33 / Max: 22043 Min: 22665 / Avg: 22695 / Max: 22734 Min: 29217 / Avg: 29439.33 / Max: 29567 Min: 34015 / Avg: 34100.67 / Max: 34257 Min: 40978 / Avg: 41176.33 / Max: 41285 Min: 44202 / Avg: 44279 / Max: 44375 Min: 44298 / Avg: 44348 / Max: 44375 Min: 43382 / Avg: 43396.33 / Max: 43411 Min: 45181 / Avg: 45255 / Max: 45388 Min: 61064 / Avg: 61138 / Max: 61200 Min: 61891 / Avg: 61922.33 / Max: 61977 Min: 74216 / Avg: 74411.33 / Max: 74586 Min: 66135 / Avg: 66272 / Max: 66486 Min: 12793 / Avg: 12832.33 / Max: 12864 Min: 26793 / Avg: 26828.33 / Max: 26851 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 5K 10K 15K 20K 25K SE +/- 15.00, N = 3 SE +/- 11.11, N = 3 SE +/- 34.49, N = 3 SE +/- 28.38, N = 3 SE +/- 16.02, N = 3 SE +/- 3.65, N = 3 SE +/- 11.41, N = 3 SE +/- 82.07, N = 3 SE +/- 31.91, N = 3 SE +/- 21.35, N = 3 SE +/- 96.28, N = 3 SE +/- 20.90, N = 3 SE +/- 87.55, N = 3 SE +/- 88.84, N = 3 SE +/- 100.29, N = 3 SE +/- 36.02, N = 3 SE +/- 93.46, N = 3 SE +/- 33.82, N = 3 SE +/- 41.36, N = 3 SE +/- 18.81, N = 3 3032.55 3024.05 3230.19 4506.58 5717.26 5909.26 8387.53 8849.73 11239.19 11782.77 11749.88 11978.84 11865.34 16615.54 17243.37 21376.10 21019.80 3674.27 6955.53 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 4K 8K 12K 16K 20K Min: 3005.06 / Avg: 3032.55 / Max: 3056.68 Min: 3010.7 / Avg: 3024.05 / Max: 3046.1 Min: 3192.87 / Avg: 3230.19 / Max: 3299.1 Min: 4449.94 / Avg: 4506.58 / Max: 4537.94 Min: 5692.55 / Avg: 5717.26 / Max: 5747.29 Min: 5901.98 / Avg: 5909.26 / Max: 5913.34 Min: 8369.21 / Avg: 8387.53 / Max: 8408.46 Min: 8752.21 / Avg: 8849.73 / Max: 9012.83 Min: 11198.19 / Avg: 11239.19 / Max: 11302.04 Min: 11740.66 / Avg: 11782.77 / Max: 11809.98 Min: 11558.57 / Avg: 11749.88 / Max: 11864.54 Min: 11940.43 / Avg: 11978.84 / Max: 12012.32 Min: 11690.46 / Avg: 11865.34 / Max: 11960.53 Min: 16439.03 / Avg: 16615.54 / Max: 16721.45 Min: 17044.13 / Avg: 17243.37 / Max: 17363.05 Min: 21311.89 / Avg: 21376.1 / Max: 21436.5 Min: 20833.09 / Avg: 21019.8 / Max: 21120.92 Min: 3615.45 / Avg: 3674.27 / Max: 3732.59 Min: 6878.65 / Avg: 6955.53 / Max: 7020.43 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 6K 12K 18K 24K 30K SE +/- 37.46, N = 3 SE +/- 6.17, N = 3 SE +/- 0.82, N = 3 SE +/- 5.52, N = 3 SE +/- 13.09, N = 3 SE +/- 13.64, N = 3 SE +/- 13.62, N = 3 SE +/- 17.40, N = 3 SE +/- 16.15, N = 3 SE +/- 107.37, N = 3 SE +/- 61.05, N = 3 SE +/- 22.13, N = 3 SE +/- 54.92, N = 3 SE +/- 56.63, N = 3 SE +/- 14.24, N = 3 SE +/- 183.24, N = 3 SE +/- 20.84, N = 3 SE +/- 6.67, N = 3 SE +/- 0.93, N = 3 SE +/- 24.25, N = 3 4157.14 4463.04 4376.88 6551.42 9710.46 8843.63 11838.88 13267.26 16906.29 18723.61 19121.22 16112.28 20075.53 23914.70 22787.21 29381.07 26399.13 4813.33 9632.78 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 5K 10K 15K 20K 25K Min: 4085.57 / Avg: 4157.14 / Max: 4212.12 Min: 4452.92 / Avg: 4463.04 / Max: 4474.2 Min: 4375.53 / Avg: 4376.88 / Max: 4378.35 Min: 6541.02 / Avg: 6551.42 / Max: 6559.83 Min: 9685.99 / Avg: 9710.46 / Max: 9730.76 Min: 8816.35 / Avg: 8843.63 / Max: 8857.35 Min: 11812.28 / Avg: 11838.88 / Max: 11857.28 Min: 13243.23 / Avg: 13267.26 / Max: 13301.06 Min: 16874.31 / Avg: 16906.29 / Max: 16926.14 Min: 18509.29 / Avg: 18723.61 / Max: 18842.47 Min: 19019.2 / Avg: 19121.22 / Max: 19230.34 Min: 16069.26 / Avg: 16112.28 / Max: 16142.81 Min: 19967.16 / Avg: 20075.53 / Max: 20145.19 Min: 23815.23 / Avg: 23914.7 / Max: 24011.34 Min: 22765.93 / Avg: 22787.21 / Max: 22814.23 Min: 29139.87 / Avg: 29381.07 / Max: 29740.62 Min: 26362.89 / Avg: 26399.13 / Max: 26435.08 Min: 4800.61 / Avg: 4813.33 / Max: 4823.16 Min: 9631.57 / Avg: 9632.78 / Max: 9634.61 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 6K 12K 18K 24K 30K SE +/- 6.39, N = 3 SE +/- 5.11, N = 3 SE +/- 3.95, N = 3 SE +/- 8.61, N = 3 SE +/- 47.23, N = 3 SE +/- 24.93, N = 3 SE +/- 7.81, N = 3 SE +/- 94.67, N = 3 SE +/- 61.19, N = 3 SE +/- 33.89, N = 3 SE +/- 95.18, N = 3 SE +/- 3.90, N = 3 SE +/- 105.19, N = 3 SE +/- 69.23, N = 3 SE +/- 48.36, N = 3 SE +/- 124.62, N = 3 SE +/- 21.64, N = 3 SE +/- 1.21, N = 3 SE +/- 8.85, N = 3 SE +/- 29.68, N = 3 4161.93 4461.19 4377.26 6553.65 9634.72 8690.07 11890.05 13173.76 16765.72 18654.33 18803.44 16165.30 20072.56 24039.13 22849.66 29367.21 26400.82 4791.20 9658.17 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 5K 10K 15K 20K 25K Min: 4152.56 / Avg: 4161.93 / Max: 4174.13 Min: 4453.13 / Avg: 4461.19 / Max: 4470.66 Min: 4372.44 / Avg: 4377.26 / Max: 4385.09 Min: 6542.06 / Avg: 6553.65 / Max: 6570.47 Min: 9543.58 / Avg: 9634.72 / Max: 9701.76 Min: 8640.29 / Avg: 8690.07 / Max: 8717.28 Min: 11875.61 / Avg: 11890.05 / Max: 11902.45 Min: 12985.33 / Avg: 13173.76 / Max: 13284.11 Min: 16649.67 / Avg: 16765.72 / Max: 16857.38 Min: 18617.18 / Avg: 18654.33 / Max: 18722.01 Min: 18695.04 / Avg: 18803.44 / Max: 18993.16 Min: 16158.84 / Avg: 16165.3 / Max: 16172.32 Min: 19928.28 / Avg: 20072.56 / Max: 20277.29 Min: 23957.88 / Avg: 24039.13 / Max: 24176.84 Min: 22764.7 / Avg: 22849.66 / Max: 22932.16 Min: 29117.97 / Avg: 29367.21 / Max: 29493.71 Min: 26376.32 / Avg: 26400.82 / Max: 26443.96 Min: 4788.78 / Avg: 4791.2 / Max: 4792.51 Min: 9642.33 / Avg: 9658.17 / Max: 9672.92 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 90K 180K 270K 360K 450K SE +/- 13.07, N = 3 SE +/- 11.30, N = 3 SE +/- 14.51, N = 3 SE +/- 7.74, N = 3 SE +/- 2.57, N = 3 SE +/- 1.03, N = 3 SE +/- 6.59, N = 3 SE +/- 70.64, N = 3 SE +/- 241.85, N = 3 SE +/- 136.87, N = 3 SE +/- 170.79, N = 3 SE +/- 154.60, N = 3 SE +/- 23.85, N = 3 SE +/- 446.26, N = 3 SE +/- 29.41, N = 3 SE +/- 358.04, N = 3 SE +/- 83.51, N = 3 SE +/- 5.55, N = 3 SE +/- 49.61, N = 3 SE +/- 478.76, N = 3 57789.41 57748.24 61366.13 87046.58 117313.44 120965.20 164870.78 183035.44 221038.57 237815.92 237835.68 231415.93 241837.62 327568.79 331524.05 400119.36 396445.89 70550.59 142745.02 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 70K 140K 210K 280K 350K Min: 57765.31 / Avg: 57789.41 / Max: 57810.22 Min: 57729.89 / Avg: 57748.24 / Max: 57768.83 Min: 61337.3 / Avg: 61366.13 / Max: 61383.41 Min: 87038.08 / Avg: 87046.58 / Max: 87062.04 Min: 117308.69 / Avg: 117313.44 / Max: 117317.53 Min: 120963.15 / Avg: 120965.2 / Max: 120966.42 Min: 164858.89 / Avg: 164870.78 / Max: 164881.64 Min: 182894.29 / Avg: 183035.44 / Max: 183111.31 Min: 220563.4 / Avg: 221038.57 / Max: 221354.45 Min: 237557.24 / Avg: 237815.92 / Max: 238022.8 Min: 237534.61 / Avg: 237835.68 / Max: 238125.95 Min: 231107.25 / Avg: 231415.93 / Max: 231585.92 Min: 241796.34 / Avg: 241837.62 / Max: 241878.96 Min: 327108.52 / Avg: 327568.79 / Max: 328461.17 Min: 331468.73 / Avg: 331524.05 / Max: 331569.02 Min: 399403.88 / Avg: 400119.36 / Max: 400502.51 Min: 396281.89 / Avg: 396445.89 / Max: 396555.31 Min: 70544.38 / Avg: 70550.59 / Max: 70561.67 Min: 142645.8 / Avg: 142745.02 / Max: 142795.63 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 3K 6K 9K 12K 15K SE +/- 0.38, N = 3 SE +/- 0.55, N = 3 SE +/- 0.64, N = 3 SE +/- 0.72, N = 3 SE +/- 0.25, N = 3 SE +/- 0.80, N = 3 SE +/- 0.65, N = 3 SE +/- 1.87, N = 3 SE +/- 1.27, N = 3 SE +/- 0.48, N = 3 SE +/- 0.83, N = 3 SE +/- 3.92, N = 3 SE +/- 1.54, N = 3 SE +/- 2.07, N = 3 SE +/- 0.23, N = 3 SE +/- 0.76, N = 3 SE +/- 6.95, N = 3 SE +/- 0.42, N = 3 SE +/- 1.70, N = 3 SE +/- 9.11, N = 3 1878.6 1855.0 1971.6 2794.5 3757.1 3873.2 5221.3 5854.8 6850.1 7393.3 7396.3 7180.2 7757.8 9912.0 10299.8 12330.2 11503.7 2264.8 4574.4 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 2K 4K 6K 8K 10K Min: 1878 / Avg: 1878.63 / Max: 1879.3 Min: 1853.9 / Avg: 1855 / Max: 1855.6 Min: 1970.4 / Avg: 1971.57 / Max: 1972.6 Min: 2793.6 / Avg: 2794.47 / Max: 2795.9 Min: 3756.8 / Avg: 3757.1 / Max: 3757.6 Min: 3872.2 / Avg: 3873.23 / Max: 3874.8 Min: 5220 / Avg: 5221.3 / Max: 5222 Min: 5851.2 / Avg: 5854.77 / Max: 5857.5 Min: 6848.7 / Avg: 6850.07 / Max: 6852.6 Min: 7392.8 / Avg: 7393.33 / Max: 7394.3 Min: 7394.7 / Avg: 7396.27 / Max: 7397.5 Min: 7172.5 / Avg: 7180.17 / Max: 7185.4 Min: 7755.5 / Avg: 7757.77 / Max: 7760.7 Min: 9907.9 / Avg: 9912.03 / Max: 9914.1 Min: 10299.4 / Avg: 10299.83 / Max: 10300.2 Min: 12329 / Avg: 12330.2 / Max: 12331.6 Min: 11489.8 / Avg: 11503.67 / Max: 11511.3 Min: 2264.3 / Avg: 2264.77 / Max: 2265.6 Min: 4571.2 / Avg: 4574.37 / Max: 4577 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 200 400 600 800 1000 SE +/- 0.74, N = 3 SE +/- 1.02, N = 3 SE +/- 0.12, N = 3 SE +/- 0.20, N = 3 SE +/- 0.32, N = 3 SE +/- 0.19, N = 3 SE +/- 2.33, N = 3 SE +/- 3.07, N = 3 SE +/- 0.23, N = 3 SE +/- 0.71, N = 3 SE +/- 0.34, N = 3 SE +/- 2.78, N = 3 SE +/- 4.13, N = 3 SE +/- 4.10, N = 3 SE +/- 4.53, N = 3 SE +/- 5.03, N = 3 SE +/- 2.39, N = 3 SE +/- 0.90, N = 3 SE +/- 0.27, N = 3 SE +/- 0.86, N = 3 169.35 173.04 182.67 257.99 346.53 358.21 480.83 542.30 624.86 677.19 677.26 661.64 718.59 928.80 942.93 1120.67 1099.57 209.03 424.32 587.94 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 200 400 600 800 1000 Min: 167.87 / Avg: 169.35 / Max: 170.21 Min: 171.01 / Avg: 173.04 / Max: 174.18 Min: 182.43 / Avg: 182.67 / Max: 182.8 Min: 257.74 / Avg: 257.99 / Max: 258.38 Min: 345.97 / Avg: 346.53 / Max: 347.07 Min: 357.94 / Avg: 358.21 / Max: 358.57 Min: 477.89 / Avg: 480.83 / Max: 485.42 Min: 538.27 / Avg: 542.3 / Max: 548.34 Min: 624.58 / Avg: 624.86 / Max: 625.31 Min: 676.36 / Avg: 677.19 / Max: 678.59 Min: 676.7 / Avg: 677.26 / Max: 677.88 Min: 658.47 / Avg: 661.64 / Max: 667.18 Min: 710.47 / Avg: 718.59 / Max: 723.95 Min: 923.85 / Avg: 928.8 / Max: 936.93 Min: 933.87 / Avg: 942.93 / Max: 947.76 Min: 1113.59 / Avg: 1120.67 / Max: 1130.41 Min: 1095.06 / Avg: 1099.57 / Max: 1103.18 Min: 207.24 / Avg: 209.03 / Max: 210.15 Min: 423.84 / Avg: 424.32 / Max: 424.79 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 3K 6K 9K 12K 15K SE +/- 3.27, N = 3 SE +/- 2.12, N = 3 SE +/- 0.52, N = 3 SE +/- 4.50, N = 3 SE +/- 5.50, N = 3 SE +/- 5.14, N = 3 SE +/- 6.01, N = 3 SE +/- 7.88, N = 3 SE +/- 10.96, N = 3 SE +/- 1.37, N = 3 SE +/- 15.42, N = 3 SE +/- 9.13, N = 3 SE +/- 9.87, N = 3 SE +/- 8.63, N = 3 SE +/- 13.57, N = 3 SE +/- 6.05, N = 3 SE +/- 10.21, N = 3 SE +/- 3.01, N = 3 SE +/- 2.83, N = 3 SE +/- 6.75, N = 3 1857.42 1858.39 1970.61 2797.70 3772.31 3885.41 5143.78 5832.21 6720.45 7300.94 7283.56 7099.54 7737.59 10001.40 10062.21 12124.64 12001.39 2267.19 4581.63 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 2K 4K 6K 8K 10K Min: 1850.88 / Avg: 1857.42 / Max: 1860.74 Min: 1854.15 / Avg: 1858.39 / Max: 1860.71 Min: 1970.01 / Avg: 1970.61 / Max: 1971.64 Min: 2789 / Avg: 2797.7 / Max: 2804.07 Min: 3761.72 / Avg: 3772.31 / Max: 3780.18 Min: 3878.04 / Avg: 3885.41 / Max: 3895.31 Min: 5132.13 / Avg: 5143.78 / Max: 5152.17 Min: 5816.65 / Avg: 5832.21 / Max: 5842.15 Min: 6708.43 / Avg: 6720.45 / Max: 6742.34 Min: 7298.23 / Avg: 7300.94 / Max: 7302.61 Min: 7252.79 / Avg: 7283.56 / Max: 7300.75 Min: 7081.47 / Avg: 7099.54 / Max: 7110.88 Min: 7722.55 / Avg: 7737.59 / Max: 7756.19 Min: 9984.14 / Avg: 10001.4 / Max: 10010.03 Min: 10045.71 / Avg: 10062.21 / Max: 10089.11 Min: 12118.46 / Avg: 12124.64 / Max: 12136.74 Min: 11981.26 / Avg: 12001.39 / Max: 12014.46 Min: 2261.27 / Avg: 2267.19 / Max: 2271.11 Min: 4576.02 / Avg: 4581.63 / Max: 4585.09 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 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 = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 7 SE +/- 0.00, N = 3 SE +/- 0.00, N = 6 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.76 0.79 0.85 1.18 1.57 1.64 2.13 2.43 2.80 3.02 3.01 2.90 3.20 4.14 4.17 4.96 4.84 0.92 1.86 2.61
Result Confidence
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: San Miguel - Renderer: Path Tracer EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 2 4 6 8 10 Min: 0.76 / Avg: 0.76 / Max: 0.76 Min: 0.78 / Avg: 0.79 / Max: 0.79 Min: 0.85 / Avg: 0.85 / Max: 0.86 Min: 1.18 / Avg: 1.18 / Max: 1.19 Min: 1.56 / Avg: 1.57 / Max: 1.57 Min: 1.63 / Avg: 1.64 / Max: 1.64 Min: 2.12 / Avg: 2.13 / Max: 2.13 Min: 2.43 / Avg: 2.43 / Max: 2.43 Min: 2.79 / Avg: 2.8 / Max: 2.8 Min: 3.01 / Avg: 3.02 / Max: 3.02 Min: 3.01 / Avg: 3.01 / Max: 3.02 Min: 2.89 / Avg: 2.9 / Max: 2.9 Min: 3.19 / Avg: 3.2 / Max: 3.21 Min: 4.13 / Avg: 4.14 / Max: 4.15 Min: 4.17 / Avg: 4.17 / Max: 4.18 Min: 4.95 / Avg: 4.96 / Max: 4.98 Min: 4.83 / Avg: 4.84 / Max: 4.85 Min: 0.92 / Avg: 0.92 / Max: 0.92 Min: 1.86 / Avg: 1.86 / Max: 1.86 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 4 8 12 16 20 SE +/- 0.001, N = 3 SE +/- 0.003, 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 +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.005, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 17.146 17.441 16.427 11.566 8.645 8.323 6.409 5.596 4.882 4.501 4.501 4.640 4.190 3.286 3.253 2.725 2.746 14.278 7.046 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 4 8 12 16 20 Min: 17.15 / Avg: 17.15 / Max: 17.15 Min: 17.43 / Avg: 17.44 / Max: 17.45 Min: 16.42 / Avg: 16.43 / Max: 16.44 Min: 11.56 / Avg: 11.57 / Max: 11.57 Min: 8.64 / Avg: 8.65 / Max: 8.65 Min: 8.32 / Avg: 8.32 / Max: 8.32 Min: 6.41 / Avg: 6.41 / Max: 6.41 Min: 5.59 / Avg: 5.6 / Max: 5.6 Min: 4.88 / Avg: 4.88 / Max: 4.88 Min: 4.5 / Avg: 4.5 / Max: 4.51 Min: 4.5 / Avg: 4.5 / Max: 4.51 Min: 4.64 / Avg: 4.64 / Max: 4.64 Min: 4.19 / Avg: 4.19 / Max: 4.2 Min: 3.28 / Avg: 3.29 / Max: 3.29 Min: 3.25 / Avg: 3.25 / Max: 3.26 Min: 2.72 / Avg: 2.72 / Max: 2.73 Min: 2.74 / Avg: 2.75 / Max: 2.75 Min: 14.27 / Avg: 14.28 / Max: 14.29 Min: 7.05 / Avg: 7.05 / Max: 7.05 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 160 320 480 640 800 SE +/- 0.66, N = 3 SE +/- 0.44, N = 3 SE +/- 0.57, N = 3 SE +/- 1.17, N = 3 SE +/- 0.38, N = 3 SE +/- 0.63, N = 3 SE +/- 0.58, N = 3 SE +/- 0.38, N = 3 SE +/- 0.82, N = 3 SE +/- 1.72, N = 3 SE +/- 1.14, N = 3 SE +/- 1.34, N = 3 SE +/- 1.41, N = 3 SE +/- 0.84, N = 3 SE +/- 3.28, N = 3 SE +/- 0.22, N = 3 SE +/- 1.11, N = 3 SE +/- 1.40, N = 8 SE +/- 0.72, N = 3 SE +/- 0.05, N = 3 112.92 113.46 120.20 170.19 227.20 236.25 309.62 355.44 399.46 435.96 437.71 420.92 466.71 593.06 601.79 720.68 712.74 136.68 278.96 382.48 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 130 260 390 520 650 Min: 111.63 / Avg: 112.92 / Max: 113.77 Min: 112.6 / Avg: 113.46 / Max: 114.07 Min: 119.6 / Avg: 120.2 / Max: 121.33 Min: 168.1 / Avg: 170.19 / Max: 172.13 Min: 226.63 / Avg: 227.2 / Max: 227.93 Min: 235.37 / Avg: 236.25 / Max: 237.47 Min: 308.5 / Avg: 309.62 / Max: 310.43 Min: 354.83 / Avg: 355.44 / Max: 356.13 Min: 398.4 / Avg: 399.46 / Max: 401.07 Min: 432.87 / Avg: 435.96 / Max: 438.83 Min: 435.47 / Avg: 437.71 / Max: 439.17 Min: 418.33 / Avg: 420.92 / Max: 422.83 Min: 464.07 / Avg: 466.71 / Max: 468.9 Min: 591.77 / Avg: 593.06 / Max: 594.63 Min: 595.33 / Avg: 601.79 / Max: 606.03 Min: 720.27 / Avg: 720.68 / Max: 721 Min: 711.33 / Avg: 712.74 / Max: 714.93 Min: 127.17 / Avg: 136.68 / Max: 139.47 Min: 277.53 / Avg: 278.96 / Max: 279.87 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 3 6 9 12 15 SE +/- 0.13039, N = 15 SE +/- 0.02644, N = 3 SE +/- 0.50723, N = 15 SE +/- 0.05931, N = 3 SE +/- 0.10035, N = 15 SE +/- 0.01628, N = 3 SE +/- 0.02418, N = 15 SE +/- 0.02820, N = 15 SE +/- 0.05039, N = 15 SE +/- 0.03542, N = 15 SE +/- 0.01793, N = 3 SE +/- 0.01911, N = 3 SE +/- 0.02197, N = 3 SE +/- 0.02747, N = 3 SE +/- 0.00682, N = 3 SE +/- 0.01653, N = 3 SE +/- 0.02328, N = 3 SE +/- 0.05477, N = 15 SE +/- 0.00248, N = 3 SE +/- 0.00666, N = 3 6.82638 5.17763 9.46298 4.48168 6.45984 2.62891 2.82041 2.40689 3.88529 2.18360 1.75183 2.22779 2.23648 2.02167 1.48624 1.63132 1.80818 5.44456 1.99596 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 3 6 9 12 15 Min: 6.08 / Avg: 6.83 / Max: 7.88 Min: 5.13 / Avg: 5.18 / Max: 5.22 Min: 7.06 / Avg: 9.46 / Max: 14.82 Min: 4.42 / Avg: 4.48 / Max: 4.6 Min: 5.52 / Avg: 6.46 / Max: 6.84 Min: 2.6 / Avg: 2.63 / Max: 2.65 Min: 2.58 / Avg: 2.82 / Max: 2.96 Min: 2.22 / Avg: 2.41 / Max: 2.56 Min: 3.5 / Avg: 3.89 / Max: 4.21 Min: 2.03 / Avg: 2.18 / Max: 2.59 Min: 1.72 / Avg: 1.75 / Max: 1.77 Min: 2.2 / Avg: 2.23 / Max: 2.26 Min: 2.21 / Avg: 2.24 / Max: 2.28 Min: 1.99 / Avg: 2.02 / Max: 2.08 Min: 1.47 / Avg: 1.49 / Max: 1.49 Min: 1.6 / Avg: 1.63 / Max: 1.66 Min: 1.78 / Avg: 1.81 / Max: 1.85 Min: 4.89 / Avg: 5.44 / Max: 5.67 Min: 1.99 / Avg: 2 / Max: 2 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 20 40 60 80 100 SE +/- 0.04, 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 +/- 0.04, N = 3 SE +/- 0.09, N = 3 SE +/- 0.02, N = 3 SE +/- 0.09, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 88.09 89.47 84.25 59.45 44.20 42.81 32.77 28.73 25.00 23.21 23.22 23.79 21.71 16.95 16.79 14.18 14.31 73.26 36.27 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 20 40 60 80 100 Min: 88.03 / Avg: 88.09 / Max: 88.15 Min: 89.42 / Avg: 89.47 / Max: 89.5 Min: 84.23 / Avg: 84.25 / Max: 84.26 Min: 59.41 / Avg: 59.45 / Max: 59.46 Min: 44.14 / Avg: 44.2 / Max: 44.24 Min: 42.79 / Avg: 42.81 / Max: 42.83 Min: 32.69 / Avg: 32.77 / Max: 32.84 Min: 28.62 / Avg: 28.73 / Max: 28.91 Min: 24.97 / Avg: 25 / Max: 25.03 Min: 23.06 / Avg: 23.21 / Max: 23.37 Min: 23.11 / Avg: 23.22 / Max: 23.28 Min: 23.7 / Avg: 23.79 / Max: 23.88 Min: 21.67 / Avg: 21.71 / Max: 21.75 Min: 16.89 / Avg: 16.94 / Max: 17.02 Min: 16.76 / Avg: 16.79 / Max: 16.83 Min: 14.11 / Avg: 14.18 / Max: 14.21 Min: 14.26 / Avg: 14.31 / Max: 14.34 Min: 73.23 / Avg: 73.26 / Max: 73.27 Min: 36.26 / Avg: 36.27 / Max: 36.28 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 20 40 60 80 100 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 80.54 81.67 76.84 54.25 40.67 39.16 29.96 26.19 23.05 21.36 21.31 21.86 19.93 15.63 15.44 13.06 13.14 66.97 33.24 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 16 32 48 64 80 Min: 80.51 / Avg: 80.54 / Max: 80.6 Min: 81.58 / Avg: 81.67 / Max: 81.81 Min: 76.81 / Avg: 76.84 / Max: 76.87 Min: 54.23 / Avg: 54.25 / Max: 54.27 Min: 40.63 / Avg: 40.67 / Max: 40.74 Min: 39.14 / Avg: 39.16 / Max: 39.19 Min: 29.93 / Avg: 29.95 / Max: 30 Min: 26.14 / Avg: 26.19 / Max: 26.28 Min: 23 / Avg: 23.05 / Max: 23.09 Min: 21.28 / Avg: 21.36 / Max: 21.47 Min: 21.3 / Avg: 21.31 / Max: 21.33 Min: 21.84 / Avg: 21.86 / Max: 21.88 Min: 19.88 / Avg: 19.93 / Max: 19.98 Min: 15.59 / Avg: 15.62 / Max: 15.65 Min: 15.35 / Avg: 15.44 / Max: 15.48 Min: 12.99 / Avg: 13.06 / Max: 13.1 Min: 13.11 / Avg: 13.14 / Max: 13.19 Min: 66.85 / Avg: 66.97 / Max: 67.05 Min: 33.19 / Avg: 33.24 / Max: 33.27 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 4M 8M 12M 16M 20M SE +/- 24650.01, N = 3 SE +/- 22526.16, N = 3 SE +/- 23350.93, N = 3 SE +/- 38644.74, N = 3 SE +/- 50833.87, N = 3 SE +/- 9769.89, N = 3 SE +/- 52003.80, N = 3 SE +/- 50217.68, N = 3 SE +/- 81230.48, N = 15 SE +/- 102325.96, N = 15 SE +/- 98762.81, N = 15 SE +/- 138168.08, N = 3 SE +/- 120996.14, N = 9 SE +/- 155445.81, N = 15 SE +/- 94951.48, N = 3 SE +/- 205768.32, N = 15 SE +/- 107878.70, N = 3 SE +/- 28186.41, N = 3 SE +/- 29716.88, N = 3 SE +/- 94521.27, N = 3 3005936.07 2970114.52 3316915.90 4389316.13 6096293.69 6603833.68 7892972.46 9536005.30 10457029.31 11355107.69 11286825.41 11066825.63 12327310.61 15435223.91 15626973.32 18566893.62 18405418.22 3819891.88 7756545.05 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 3M 6M 9M 12M 15M Min: 2970471.06 / Avg: 3005936.07 / Max: 3053325.69 Min: 2928072.83 / Avg: 2970114.52 / Max: 3005158.75 Min: 3279882.3 / Avg: 3316915.9 / Max: 3360073.76 Min: 4331161.98 / Avg: 4389316.13 / Max: 4462481.97 Min: 6009495.73 / Avg: 6096293.69 / Max: 6185538.41 Min: 6589281.5 / Avg: 6603833.68 / Max: 6622402.6 Min: 7839201.21 / Avg: 7892972.46 / Max: 7996959.81 Min: 9465830.97 / Avg: 9536005.3 / Max: 9633318.81 Min: 10056342.93 / Avg: 10457029.31 / Max: 11037543.2 Min: 10680260.72 / Avg: 11355107.69 / Max: 11922794.08 Min: 10644170.18 / Avg: 11286825.41 / Max: 11817686.65 Min: 10790876.02 / Avg: 11066825.63 / Max: 11217454.01 Min: 11704204.82 / Avg: 12327310.61 / Max: 12869252.45 Min: 14410372.44 / Avg: 15435223.91 / Max: 16355719.87 Min: 15485009.26 / Avg: 15626973.32 / Max: 15807189.08 Min: 17260837.8 / Avg: 18566893.62 / Max: 19589156.55 Min: 18267832.08 / Avg: 18405418.22 / Max: 18618141.77 Min: 3764412.74 / Avg: 3819891.88 / Max: 3856289.94 Min: 7715369.06 / Avg: 7756545.05 / Max: 7814250.19 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 4 8 12 16 20 SE +/- 0.02292, N = 3 SE +/- 0.04289, N = 3 SE +/- 0.00870, N = 3 SE +/- 0.15066, N = 12 SE +/- 0.07563, N = 3 SE +/- 0.04114, N = 3 SE +/- 0.08801, N = 3 SE +/- 0.19470, N = 15 SE +/- 0.02491, N = 3 SE +/- 0.01621, N = 3 SE +/- 0.05097, N = 3 SE +/- 0.01224, N = 3 SE +/- 0.02211, N = 3 SE +/- 0.00797, N = 3 SE +/- 0.00856, N = 3 SE +/- 0.02153, N = 3 SE +/- 0.02803, N = 3 SE +/- 0.07675, N = 3 SE +/- 0.06206, N = 3 SE +/- 0.07025, N = 3 14.66750 14.90570 15.31620 9.86575 7.69441 8.32494 6.22912 5.44209 4.74513 4.50760 4.47693 4.76807 4.46722 3.30455 3.30193 2.46068 2.55026 14.13350 7.84641 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 4 8 12 16 20 Min: 14.62 / Avg: 14.67 / Max: 14.69 Min: 14.86 / Avg: 14.91 / Max: 14.99 Min: 15.3 / Avg: 15.32 / Max: 15.33 Min: 8.21 / Avg: 9.87 / Max: 10.09 Min: 7.58 / Avg: 7.69 / Max: 7.84 Min: 8.25 / Avg: 8.32 / Max: 8.4 Min: 6.06 / Avg: 6.23 / Max: 6.36 Min: 4.39 / Avg: 5.44 / Max: 6.04 Min: 4.71 / Avg: 4.75 / Max: 4.79 Min: 4.49 / Avg: 4.51 / Max: 4.54 Min: 4.38 / Avg: 4.48 / Max: 4.56 Min: 4.75 / Avg: 4.77 / Max: 4.79 Min: 4.43 / Avg: 4.47 / Max: 4.51 Min: 3.29 / Avg: 3.3 / Max: 3.32 Min: 3.29 / Avg: 3.3 / Max: 3.32 Min: 2.42 / Avg: 2.46 / Max: 2.48 Min: 2.5 / Avg: 2.55 / Max: 2.6 Min: 13.98 / Avg: 14.13 / Max: 14.24 Min: 7.74 / Avg: 7.85 / Max: 7.96 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 900K 1800K 2700K 3600K 4500K SE +/- 1479.80, N = 3 SE +/- 1989.22, N = 3 SE +/- 1052.26, N = 3 SE +/- 2590.75, N = 3 SE +/- 4630.81, N = 3 SE +/- 4630.81, N = 3 SE +/- 2645.75, N = 3 SE +/- 5811.87, N = 3 SE +/- 4932.88, N = 3 SE +/- 6437.74, N = 3 SE +/- 9504.38, N = 3 SE +/- 7218.80, N = 3 SE +/- 17776.39, N = 3 SE +/- 3055.05, N = 3 SE +/- 12490.00, N = 3 SE +/- 10503.97, N = 3 SE +/- 5929.17, N = 3 SE +/- 2403.70, N = 3 SE +/- 3179.80, N = 3 720571 664064 757145 995857 1356000 1454667 1709333 2121000 2361667 2588000 2579667 2510000 2779333 3511000 3528000 4116000 3723000 806656 1700333 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 700K 1400K 2100K 2800K 3500K Min: 717619 / Avg: 720571.33 / Max: 722227 Min: 661401 / Avg: 664063.67 / Max: 667955 Min: 755046 / Avg: 757145.33 / Max: 758323 Min: 990720 / Avg: 995856.67 / Max: 999014 Min: 1447000 / Avg: 1454666.67 / Max: 1463000 Min: 1701000 / Avg: 1709333.33 / Max: 1717000 Min: 2116000 / Avg: 2121000 / Max: 2125000 Min: 2351000 / Avg: 2361666.67 / Max: 2371000 Min: 2580000 / Avg: 2588000 / Max: 2597000 Min: 2567000 / Avg: 2579666.67 / Max: 2588000 Min: 2500000 / Avg: 2510000 / Max: 2529000 Min: 2765000 / Avg: 2779333.33 / Max: 2788000 Min: 3485000 / Avg: 3511000 / Max: 3545000 Min: 3522000 / Avg: 3528000 / Max: 3532000 Min: 4098000 / Avg: 4116000 / Max: 4140000 Min: 3702000 / Avg: 3723000 / Max: 3734000 Min: 795187 / Avg: 806655.67 / Max: 815001 Min: 1697000 / Avg: 1700333.33 / Max: 1705000 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 30K 60K 90K 120K 150K SE +/- 15.12, N = 3 SE +/- 13.61, N = 3 SE +/- 5.72, N = 3 SE +/- 17.03, N = 3 SE +/- 13.79, N = 3 SE +/- 18.89, N = 3 SE +/- 25.21, N = 3 SE +/- 20.42, N = 3 SE +/- 29.25, N = 3 SE +/- 15.94, N = 3 SE +/- 24.82, N = 3 SE +/- 12.96, N = 3 SE +/- 28.23, N = 3 SE +/- 57.23, N = 3 SE +/- 90.90, N = 3 SE +/- 48.31, N = 3 SE +/- 54.79, N = 3 SE +/- 34.12, N = 3 SE +/- 137.58, N = 3 SE +/- 30.11, N = 3 24167.85 23857.54 25324.35 35923.30 46844.14 49828.66 63293.53 73241.35 82555.86 89843.27 89791.60 87239.10 96854.95 123029.76 123965.62 147145.81 146423.18 29153.01 58522.66 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 30K 60K 90K 120K 150K Min: 24150.37 / Avg: 24167.85 / Max: 24197.95 Min: 23830.34 / Avg: 23857.54 / Max: 23872.07 Min: 25312.96 / Avg: 25324.35 / Max: 25330.81 Min: 35891.06 / Avg: 35923.3 / Max: 35948.91 Min: 46826.92 / Avg: 46844.14 / Max: 46871.41 Min: 49793.43 / Avg: 49828.66 / Max: 49858.12 Min: 63244.31 / Avg: 63293.53 / Max: 63327.58 Min: 73200.79 / Avg: 73241.35 / Max: 73265.78 Min: 82521.84 / Avg: 82555.86 / Max: 82614.09 Min: 89812.09 / Avg: 89843.27 / Max: 89864.64 Min: 89743.86 / Avg: 89791.6 / Max: 89827.23 Min: 87214.38 / Avg: 87239.1 / Max: 87258.21 Min: 96817.27 / Avg: 96854.95 / Max: 96910.2 Min: 122953.6 / Avg: 123029.76 / Max: 123141.84 Min: 123874.35 / Avg: 123965.62 / Max: 124147.41 Min: 147064.91 / Avg: 147145.81 / Max: 147232.02 Min: 146314.98 / Avg: 146423.18 / Max: 146492.38 Min: 29096.71 / Avg: 29153.01 / Max: 29214.55 Min: 58360.01 / Avg: 58522.66 / Max: 58796.19 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 30M 60M 90M 120M 150M SE +/- 110676.68, N = 3 SE +/- 210051.05, N = 3 SE +/- 33967.30, N = 3 SE +/- 116150.13, N = 3 SE +/- 143183.39, N = 3 SE +/- 154040.64, N = 3 SE +/- 93520.98, N = 3 SE +/- 385170.47, N = 3 SE +/- 528676.50, N = 3 SE +/- 192516.87, N = 3 SE +/- 479922.60, N = 3 SE +/- 517707.55, N = 3 SE +/- 717031.41, N = 3 SE +/- 75175.84, N = 3 SE +/- 548666.83, N = 3 SE +/- 1025327.97, N = 3 SE +/- 1059441.52, N = 3 SE +/- 170891.29, N = 3 SE +/- 360191.07, N = 3 SE +/- 479570.41, N = 3 20759851 20263553 21011732 30255678 39581259 41704153 54004216 60811617 70506630 76837283 75761184 73756703 80669002 102074873 102795064 124216434 120547124 23766693 46994090 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 20M 40M 60M 80M 100M Min: 20550233 / Avg: 20759851 / Max: 20926249 Min: 20000037 / Avg: 20263553 / Max: 20678655 Min: 20961304 / Avg: 21011732 / Max: 21076368 Min: 30066185 / Avg: 30255678 / Max: 30466794 Min: 39360150 / Avg: 39581259.33 / Max: 39849413 Min: 41396712 / Avg: 41704153.33 / Max: 41875062 Min: 53817366 / Avg: 54004216.33 / Max: 54104972 Min: 60059394 / Avg: 60811616.67 / Max: 61331567 Min: 69730749 / Avg: 70506629.67 / Max: 71516666 Min: 76493767 / Avg: 76837283.33 / Max: 77159659 Min: 75056297 / Avg: 75761184 / Max: 76677833 Min: 72731896 / Avg: 73756703 / Max: 74397135 Min: 79334347 / Avg: 80669001.67 / Max: 81790669 Min: 101934223 / Avg: 102074873.33 / Max: 102191213 Min: 101701713 / Avg: 102795064.33 / Max: 103422629 Min: 123082836 / Avg: 124216434.33 / Max: 126263135 Min: 118647013 / Avg: 120547124.33 / Max: 122309234 Min: 23555785 / Avg: 23766693 / Max: 24105063 Min: 46597321 / Avg: 46994090 / Max: 47713189 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 1.3M 2.6M 3.9M 5.2M 6.5M SE +/- 5330.86, N = 3 SE +/- 16159.45, N = 3 SE +/- 6324.41, N = 3 SE +/- 9958.10, N = 3 SE +/- 16555.91, N = 3 SE +/- 11537.25, N = 3 SE +/- 39675.39, N = 3 SE +/- 20548.42, N = 3 SE +/- 16272.59, N = 3 SE +/- 122.33, N = 3 SE +/- 22554.93, N = 3 SE +/- 19986.48, N = 3 SE +/- 19652.38, N = 3 SE +/- 2133.81, N = 3 SE +/- 57546.11, N = 7 SE +/- 56345.22, N = 11 SE +/- 62679.17, N = 3 SE +/- 29450.71, N = 15 SE +/- 5912.49, N = 3 SE +/- 32794.20, N = 15 1042243.13 1025514.98 1111691.92 1581427.47 2047387.05 2200579.05 2717558.27 3211403.37 3590511.09 3891895.56 3849752.30 3784170.30 4246337.42 5302329.11 5327299.96 6245020.15 6286052.68 1219801.83 2550932.98 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 1.1M 2.2M 3.3M 4.4M 5.5M Min: 1034794.36 / Avg: 1042243.13 / Max: 1052573.66 Min: 1008034.14 / Avg: 1025514.98 / Max: 1057796.82 Min: 1099493.97 / Avg: 1111691.92 / Max: 1120689.51 Min: 1562684.88 / Avg: 1581427.47 / Max: 1596632.09 Min: 2014313.38 / Avg: 2047387.05 / Max: 2065300.15 Min: 2184229.94 / Avg: 2200579.05 / Max: 2222855.19 Min: 2652908.17 / Avg: 2717558.27 / Max: 2789729.05 Min: 3170306.61 / Avg: 3211403.37 / Max: 3232024.23 Min: 3561427.51 / Avg: 3590511.09 / Max: 3617702.01 Min: 3891660.95 / Avg: 3891895.56 / Max: 3892072.98 Min: 3804854.57 / Avg: 3849752.3 / Max: 3875985.36 Min: 3762447.59 / Avg: 3784170.3 / Max: 3824091.44 Min: 4207123.49 / Avg: 4246337.42 / Max: 4268257.26 Min: 5298085.1 / Avg: 5302329.11 / Max: 5304839.4 Min: 4997687.02 / Avg: 5327299.96 / Max: 5414332.63 Min: 5736425.83 / Avg: 6245020.15 / Max: 6430106.78 Min: 6222889.08 / Avg: 6286052.68 / Max: 6411409.76 Min: 943860.7 / Avg: 1219801.83 / Max: 1294121.56 Min: 2539123.49 / Avg: 2550932.98 / Max: 2557361.85 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 140K 280K 420K 560K 700K 103756 104822 105887 157819 198305 203319 259728 295105 339539 376690 363429 345756 401222 515657 521818 627953 635485 116858 218441 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 11 22 33 44 55 SE +/- 0.0256, N = 3 SE +/- 0.0147, N = 3 SE +/- 0.0216, N = 3 SE +/- 0.0321, N = 3 SE +/- 0.0244, N = 3 SE +/- 0.0400, N = 3 SE +/- 0.0273, N = 3 SE +/- 0.0331, N = 3 SE +/- 0.0422, N = 3 SE +/- 0.0731, N = 3 SE +/- 0.0548, N = 3 SE +/- 0.0427, N = 3 SE +/- 0.0422, N = 3 SE +/- 0.0515, N = 3 SE +/- 0.0207, N = 3 SE +/- 0.1030, N = 3 SE +/- 0.0803, N = 3 SE +/- 0.0320, N = 3 SE +/- 0.1215, N = 3 SE +/- 0.0143, N = 3 7.8320 8.0257 8.4046 12.1514 15.7939 16.7132 21.1889 24.3318 27.6834 30.0539 30.1246 28.7846 32.0731 40.7103 40.4891 47.8444 46.9800 9.3919 18.7936 26.1195
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer ISPC - Model: Crown EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 10 20 30 40 50 Min: 7.8 / Avg: 7.83 / Max: 7.88 Min: 8 / Avg: 8.03 / Max: 8.05 Min: 8.36 / Avg: 8.4 / Max: 8.43 Min: 12.09 / Avg: 12.15 / Max: 12.19 Min: 15.75 / Avg: 15.79 / Max: 15.83 Min: 16.63 / Avg: 16.71 / Max: 16.77 Min: 21.14 / Avg: 21.19 / Max: 21.24 Min: 24.3 / Avg: 24.33 / Max: 24.4 Min: 27.6 / Avg: 27.68 / Max: 27.73 Min: 29.97 / Avg: 30.05 / Max: 30.2 Min: 30.02 / Avg: 30.12 / Max: 30.2 Min: 28.71 / Avg: 28.78 / Max: 28.86 Min: 31.99 / Avg: 32.07 / Max: 32.12 Min: 40.64 / Avg: 40.71 / Max: 40.81 Min: 40.46 / Avg: 40.49 / Max: 40.53 Min: 47.71 / Avg: 47.84 / Max: 48.05 Min: 46.89 / Avg: 46.98 / Max: 47.14 Min: 9.35 / Avg: 9.39 / Max: 9.45 Min: 18.63 / Avg: 18.79 / Max: 19.03 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 200K 400K 600K 800K 1000K SE +/- 935.52, N = 3 SE +/- 385.55, N = 3 SE +/- 157.88, N = 3 SE +/- 828.02, N = 3 SE +/- 983.22, N = 3 SE +/- 747.28, N = 3 SE +/- 2381.51, N = 3 SE +/- 1659.30, N = 3 SE +/- 1300.37, N = 3 SE +/- 2101.53, N = 3 SE +/- 698.73, N = 3 SE +/- 1060.79, N = 3 SE +/- 163.34, N = 3 SE +/- 2858.95, N = 3 SE +/- 3994.82, N = 3 SE +/- 439.48, N = 3 SE +/- 3428.94, N = 3 SE +/- 314.41, N = 3 SE +/- 247.10, N = 3 SE +/- 1237.62, N = 3 174275 190059 203359 278597 356559 384689 479150 554557 623136 682046 680113 629507 733943 914347 908863 1060976 1043587 231128 449472 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 200K 400K 600K 800K 1000K Min: 172542.45 / Avg: 174274.56 / Max: 175753.34 Min: 189289.03 / Avg: 190059.49 / Max: 190471.93 Min: 203075.46 / Avg: 203358.71 / Max: 203621.17 Min: 277146.26 / Avg: 278597.12 / Max: 280014 Min: 354891.14 / Avg: 356559.36 / Max: 358295.09 Min: 383335.36 / Avg: 384688.76 / Max: 385914.57 Min: 474924.16 / Avg: 479150.29 / Max: 483165.89 Min: 551482.14 / Avg: 554557.27 / Max: 557175.36 Min: 620536.19 / Avg: 623136.4 / Max: 624482.31 Min: 678570.63 / Avg: 682046.07 / Max: 685830.81 Min: 679380.73 / Avg: 680112.82 / Max: 681509.73 Min: 628222.87 / Avg: 629507.42 / Max: 631611.99 Min: 733728.54 / Avg: 733942.94 / Max: 734263.61 Min: 910647.35 / Avg: 914347.4 / Max: 919972.73 Min: 901023.8 / Avg: 908863.23 / Max: 914118.29 Min: 1060178.1 / Avg: 1060975.86 / Max: 1061694.29 Min: 1038320.6 / Avg: 1043587.2 / Max: 1050024.46 Min: 230581.84 / Avg: 231127.53 / Max: 231670.99 Min: 449071.78 / Avg: 449472.37 / Max: 449923.29 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 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 = 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 +/- 0.00, N = 5 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 8 0.97 1.02 1.12 1.50 1.91 2.10 2.59 2.99 3.35 3.69 3.71 3.60 3.95 5.01 5.06 5.89 5.77 1.21 2.45 3.35
Result Confidence
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: XFrog Forest - Renderer: Path Tracer EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 2 4 6 8 10 Min: 0.97 / Avg: 0.97 / Max: 0.98 Min: 1.02 / Avg: 1.02 / Max: 1.02 Min: 1.12 / Avg: 1.12 / Max: 1.12 Min: 1.5 / Avg: 1.5 / Max: 1.51 Min: 1.9 / Avg: 1.91 / Max: 1.91 Min: 2.1 / Avg: 2.1 / Max: 2.1 Min: 2.58 / Avg: 2.59 / Max: 2.59 Min: 2.99 / Avg: 2.99 / Max: 3 Min: 3.34 / Avg: 3.35 / Max: 3.36 Min: 3.68 / Avg: 3.69 / Max: 3.69 Min: 3.7 / Avg: 3.71 / Max: 3.72 Min: 3.58 / Avg: 3.6 / Max: 3.61 Min: 3.94 / Avg: 3.95 / Max: 3.95 Min: 5 / Avg: 5.01 / Max: 5.03 Min: 5.05 / Avg: 5.06 / Max: 5.08 Min: 5.88 / Avg: 5.89 / Max: 5.92 Min: 5.75 / Avg: 5.77 / Max: 5.78 Min: 1.21 / Avg: 1.21 / Max: 1.22 Min: 2.44 / Avg: 2.45 / Max: 2.46 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 11 22 33 44 55 SE +/- 0.0338, N = 3 SE +/- 0.0025, N = 3 SE +/- 0.0426, N = 3 SE +/- 0.0069, N = 3 SE +/- 0.0125, N = 3 SE +/- 0.1564, N = 3 SE +/- 0.0388, N = 3 SE +/- 0.0199, N = 3 SE +/- 0.0437, N = 3 SE +/- 0.3292, N = 3 SE +/- 0.0479, N = 3 SE +/- 0.0542, N = 3 SE +/- 0.0447, N = 3 SE +/- 0.0627, N = 3 SE +/- 0.0818, N = 3 SE +/- 0.1026, N = 3 SE +/- 0.2108, N = 3 SE +/- 0.0274, N = 3 SE +/- 0.0122, N = 3 SE +/- 0.0580, N = 3 8.1763 8.3957 8.8254 12.6906 16.4495 17.3250 22.0671 25.4338 28.6727 31.0041 31.1622 29.8188 33.3894 42.2680 42.4040 49.5785 48.7032 9.8471 19.7680 27.4844
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer - Model: Crown EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 10 20 30 40 50 Min: 8.11 / Avg: 8.18 / Max: 8.23 Min: 8.39 / Avg: 8.4 / Max: 8.4 Min: 8.76 / Avg: 8.83 / Max: 8.91 Min: 12.68 / Avg: 12.69 / Max: 12.7 Min: 16.43 / Avg: 16.45 / Max: 16.47 Min: 17.03 / Avg: 17.33 / Max: 17.57 Min: 22.01 / Avg: 22.07 / Max: 22.14 Min: 25.4 / Avg: 25.43 / Max: 25.46 Min: 28.6 / Avg: 28.67 / Max: 28.75 Min: 30.36 / Avg: 31 / Max: 31.43 Min: 31.07 / Avg: 31.16 / Max: 31.23 Min: 29.74 / Avg: 29.82 / Max: 29.92 Min: 33.3 / Avg: 33.39 / Max: 33.44 Min: 42.15 / Avg: 42.27 / Max: 42.37 Min: 42.24 / Avg: 42.4 / Max: 42.51 Min: 49.46 / Avg: 49.58 / Max: 49.78 Min: 48.33 / Avg: 48.7 / Max: 49.06 Min: 9.79 / Avg: 9.85 / Max: 9.89 Min: 19.75 / Avg: 19.77 / Max: 19.79 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 30 60 90 120 150 SE +/- 0.23, N = 3 SE +/- 0.12, N = 3 SE +/- 0.07, N = 3 SE +/- 0.53, N = 3 SE +/- 0.36, N = 3 SE +/- 0.18, N = 3 SE +/- 0.21, N = 3 SE +/- 0.09, N = 3 SE +/- 0.14, N = 3 SE +/- 0.04, N = 3 SE +/- 0.53, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.26, N = 3 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 SE +/- 0.07, N = 3 SE +/- 0.13, N = 3 114.04 116.86 109.38 78.77 60.12 55.83 45.00 37.90 34.17 31.11 31.64 32.65 28.88 23.06 23.14 19.29 19.56 95.81 47.15 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 20 40 60 80 100 Min: 113.61 / Avg: 114.04 / Max: 114.42 Min: 116.64 / Avg: 116.86 / Max: 117.07 Min: 109.26 / Avg: 109.38 / Max: 109.51 Min: 77.86 / Avg: 78.77 / Max: 79.69 Min: 59.52 / Avg: 60.12 / Max: 60.75 Min: 55.59 / Avg: 55.83 / Max: 56.17 Min: 44.77 / Avg: 45 / Max: 45.43 Min: 37.78 / Avg: 37.9 / Max: 38.07 Min: 33.93 / Avg: 34.17 / Max: 34.43 Min: 31.02 / Avg: 31.11 / Max: 31.16 Min: 31.08 / Avg: 31.64 / Max: 32.7 Min: 32.54 / Avg: 32.65 / Max: 32.75 Min: 28.86 / Avg: 28.88 / Max: 28.92 Min: 23.04 / Avg: 23.06 / Max: 23.07 Min: 22.64 / Avg: 23.14 / Max: 23.51 Min: 19.17 / Avg: 19.29 / Max: 19.41 Min: 19.49 / Avg: 19.56 / Max: 19.64 Min: 95.7 / Avg: 95.81 / Max: 95.96 Min: 47 / Avg: 47.15 / Max: 47.23 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 0.3229 0.6458 0.9687 1.2916 1.6145 SE +/- 0.008, N = 3 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 1.435 1.316 1.230 0.898 0.702 0.650 0.522 0.451 0.402 0.367 0.368 0.398 0.341 0.274 0.276 0.237 0.241 1.082 0.557 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 2 4 6 8 10 Min: 1.42 / Avg: 1.44 / Max: 1.45 Min: 1.31 / Avg: 1.32 / Max: 1.32 Min: 1.23 / Avg: 1.23 / Max: 1.23 Min: 0.89 / Avg: 0.9 / Max: 0.9 Min: 0.7 / Avg: 0.7 / Max: 0.71 Min: 0.65 / Avg: 0.65 / Max: 0.65 Min: 0.52 / Avg: 0.52 / Max: 0.53 Min: 0.45 / Avg: 0.45 / Max: 0.45 Min: 0.4 / Avg: 0.4 / Max: 0.4 Min: 0.37 / Avg: 0.37 / Max: 0.37 Min: 0.37 / Avg: 0.37 / Max: 0.37 Min: 0.4 / Avg: 0.4 / Max: 0.4 Min: 0.34 / Avg: 0.34 / Max: 0.34 Min: 0.27 / Avg: 0.27 / Max: 0.28 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: 1.08 / Avg: 1.08 / Max: 1.09 Min: 0.56 / Avg: 0.56 / Max: 0.56 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 4 8 12 16 20 SE +/- 0.03, N = 3 SE +/- 0.00, N = 5 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 4 SE +/- 0.00, N = 12 SE +/- 0.04, N = 3 SE +/- 0.00, N = 15 SE +/- 0.07, N = 3 SE +/- 0.09, N = 3 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 4 SE +/- 0.03, N = 3 2.77 2.91 3.14 4.27 5.38 5.99 7.37 8.52 9.47 10.35 10.39 10.10 11.03 13.89 14.15 16.48 16.22 3.48 6.98 9.46
Result Confidence
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: NASA Streamlines - Renderer: Path Tracer EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 4 8 12 16 20 Min: 2.74 / Avg: 2.77 / Max: 2.82 Min: 2.91 / Avg: 2.91 / Max: 2.92 Min: 3.13 / Avg: 3.14 / Max: 3.14 Min: 4.26 / Avg: 4.27 / Max: 4.27 Min: 5.35 / Avg: 5.38 / Max: 5.41 Min: 5.95 / Avg: 5.99 / Max: 6.02 Min: 7.35 / Avg: 7.37 / Max: 7.41 Min: 8.47 / Avg: 8.52 / Max: 8.62 Min: 9.35 / Avg: 9.47 / Max: 9.62 Min: 10.31 / Avg: 10.35 / Max: 10.42 Min: 10.31 / Avg: 10.39 / Max: 10.42 Min: 10.1 / Avg: 10.1 / Max: 10.1 Min: 10.99 / Avg: 11.03 / Max: 11.11 Min: 13.89 / Avg: 13.89 / Max: 13.89 Min: 14.08 / Avg: 14.15 / Max: 14.29 Min: 16.39 / Avg: 16.48 / Max: 16.67 Min: 16.13 / Avg: 16.22 / Max: 16.39 Min: 3.44 / Avg: 3.48 / Max: 3.55 Min: 6.94 / Avg: 6.98 / Max: 6.99 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.00, N = 5 SE +/- 0.00, N = 3 SE +/- 0.00, N = 5 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 5 SE +/- 0.00, N = 12 SE +/- 0.00, N = 15 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 12 SE +/- 0.00, N = 10 SE +/- 0.00, N = 13 SE +/- 0.04, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 1.85 1.92 2.07 2.84 3.59 3.93 4.87 5.62 6.29 6.90 6.94 6.70 7.44 9.35 9.43 10.99 10.79 2.29 4.57 6.30
Result Confidence
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: XFrog Forest - Renderer: SciVis EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 3 6 9 12 15 Min: 1.84 / Avg: 1.85 / Max: 1.86 Min: 1.92 / Avg: 1.92 / Max: 1.93 Min: 2.07 / Avg: 2.07 / Max: 2.07 Min: 2.84 / Avg: 2.84 / Max: 2.85 Min: 3.58 / Avg: 3.59 / Max: 3.6 Min: 3.92 / Avg: 3.93 / Max: 3.94 Min: 4.85 / Avg: 4.87 / Max: 4.88 Min: 5.62 / Avg: 5.62 / Max: 5.65 Min: 6.29 / Avg: 6.29 / Max: 6.29 Min: 6.9 / Avg: 6.9 / Max: 6.9 Min: 6.94 / Avg: 6.94 / Max: 6.94 Min: 6.67 / Avg: 6.7 / Max: 6.71 Min: 7.41 / Avg: 7.44 / Max: 7.46 Min: 9.35 / Avg: 9.35 / Max: 9.35 Min: 9.43 / Avg: 9.43 / Max: 9.43 Min: 10.99 / Avg: 10.99 / Max: 10.99 Min: 10.75 / Avg: 10.79 / Max: 10.87 Min: 2.28 / Avg: 2.29 / Max: 2.3 Min: 4.57 / Avg: 4.57 / Max: 4.59 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 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 +/- 0.01, 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 +/- 0.04, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 1.54 1.53 1.64 2.31 2.98 3.06 3.99 4.57 5.20 5.68 5.70 5.50 6.09 7.36 7.67 9.08 8.24 2.01 3.88 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 3 6 9 12 15 Min: 1.52 / Avg: 1.54 / Max: 1.55 Min: 1.53 / Avg: 1.53 / Max: 1.54 Min: 1.64 / Avg: 1.64 / Max: 1.65 Min: 2.3 / Avg: 2.31 / Max: 2.31 Min: 2.97 / Avg: 2.98 / Max: 2.98 Min: 3.05 / Avg: 3.06 / Max: 3.08 Min: 3.98 / Avg: 3.99 / Max: 4.01 Min: 4.56 / Avg: 4.57 / Max: 4.58 Min: 5.2 / Avg: 5.2 / Max: 5.21 Min: 5.66 / Avg: 5.68 / Max: 5.69 Min: 5.67 / Avg: 5.7 / Max: 5.72 Min: 5.49 / Avg: 5.5 / Max: 5.52 Min: 6 / Avg: 6.09 / Max: 6.14 Min: 7.35 / Avg: 7.36 / Max: 7.36 Min: 7.61 / Avg: 7.67 / Max: 7.7 Min: 9.05 / Avg: 9.08 / Max: 9.1 Min: 8.21 / Avg: 8.24 / Max: 8.26 Min: 2 / Avg: 2.01 / Max: 2.02 Min: 3.85 / Avg: 3.88 / Max: 3.91 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 3 6 9 12 15 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, 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 1.53 1.55 1.64 2.31 2.99 3.06 3.98 4.57 5.21 5.69 5.68 5.50 6.07 7.37 7.68 9.06 8.27 1.99 3.88 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 3 6 9 12 15 Min: 1.53 / Avg: 1.53 / Max: 1.54 Min: 1.54 / Avg: 1.55 / Max: 1.56 Min: 1.64 / Avg: 1.64 / Max: 1.64 Min: 2.3 / Avg: 2.31 / Max: 2.32 Min: 2.98 / Avg: 2.99 / Max: 3 Min: 3.05 / Avg: 3.06 / Max: 3.07 Min: 3.97 / Avg: 3.98 / Max: 3.99 Min: 4.55 / Avg: 4.57 / Max: 4.58 Min: 5.2 / Avg: 5.21 / Max: 5.22 Min: 5.68 / Avg: 5.69 / Max: 5.7 Min: 5.67 / Avg: 5.68 / Max: 5.69 Min: 5.49 / Avg: 5.5 / Max: 5.51 Min: 5.97 / Avg: 6.07 / Max: 6.14 Min: 7.35 / Avg: 7.37 / Max: 7.39 Min: 7.65 / Avg: 7.68 / Max: 7.73 Min: 9.02 / Avg: 9.06 / Max: 9.09 Min: 8.26 / Avg: 8.27 / Max: 8.28 Min: 1.99 / Avg: 1.99 / Max: 2 Min: 3.87 / Avg: 3.88 / Max: 3.88 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 0.6477 1.2954 1.9431 2.5908 3.2385 SE +/- 0.00153, N = 3 SE +/- 0.01336, N = 3 SE +/- 0.00138, N = 3 SE +/- 0.00737, N = 3 SE +/- 0.00131, N = 3 SE +/- 0.00046, N = 3 SE +/- 0.00570, N = 3 SE +/- 0.00035, N = 3 SE +/- 0.00089, N = 3 SE +/- 0.00107, N = 3 SE +/- 0.00056, N = 3 SE +/- 0.00083, N = 3 SE +/- 0.00075, N = 3 SE +/- 0.00009, N = 3 SE +/- 0.00057, N = 3 SE +/- 0.00064, N = 3 SE +/- 0.00359, N = 3 SE +/- 0.01056, N = 3 SE +/- 0.00329, N = 3 SE +/- 0.00081, N = 3 2.73186 2.87872 2.54937 1.94316 1.47205 1.34992 1.15092 0.93786 0.85255 0.77627 0.77595 0.79052 0.71677 0.57645 0.57168 0.49044 0.51892 2.30072 1.15425 0.85771
Result Confidence
OpenBenchmarking.org days/ns, Fewer Is Better NAMD 2.14 ATPase Simulation - 327,506 Atoms EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 2 4 6 8 10 Min: 2.73 / Avg: 2.73 / Max: 2.73 Min: 2.85 / Avg: 2.88 / Max: 2.89 Min: 2.55 / Avg: 2.55 / Max: 2.55 Min: 1.94 / Avg: 1.94 / Max: 1.96 Min: 1.47 / Avg: 1.47 / Max: 1.47 Min: 1.35 / Avg: 1.35 / Max: 1.35 Min: 1.14 / Avg: 1.15 / Max: 1.16 Min: 0.94 / Avg: 0.94 / Max: 0.94 Min: 0.85 / Avg: 0.85 / Max: 0.85 Min: 0.77 / Avg: 0.78 / Max: 0.78 Min: 0.77 / Avg: 0.78 / Max: 0.78 Min: 0.79 / Avg: 0.79 / Max: 0.79 Min: 0.72 / Avg: 0.72 / Max: 0.72 Min: 0.58 / Avg: 0.58 / Max: 0.58 Min: 0.57 / Avg: 0.57 / Max: 0.57 Min: 0.49 / Avg: 0.49 / Max: 0.49 Min: 0.51 / Avg: 0.52 / Max: 0.53 Min: 2.28 / Avg: 2.3 / Max: 2.32 Min: 1.15 / Avg: 1.15 / Max: 1.16 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 2M 4M 6M 8M 10M SE +/- 9486.66, N = 3 SE +/- 1671.95, N = 3 SE +/- 5354.73, N = 3 SE +/- 28091.78, N = 4 SE +/- 45029.31, N = 3 SE +/- 10558.02, N = 3 SE +/- 24151.11, N = 3 SE +/- 16048.71, N = 3 SE +/- 26369.03, N = 3 SE +/- 31783.53, N = 3 SE +/- 5897.86, N = 3 SE +/- 54967.27, N = 3 SE +/- 29761.67, N = 3 SE +/- 60894.61, N = 3 SE +/- 29508.17, N = 3 SE +/- 22170.26, N = 3 SE +/- 35636.88, N = 3 SE +/- 18877.88, N = 3 SE +/- 16794.20, N = 3 SE +/- 11731.10, N = 3 1349492 1423609 1416897 2181413 2878890 2856386 3871501 4269210 5078250 5183448 5195469 4999806 5472534 6949809 6670700 7904493 7860385 1518866 2919905 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 1.4M 2.8M 4.2M 5.6M 7M Min: 1336295 / Avg: 1349492 / Max: 1367896 Min: 1420426 / Avg: 1423609 / Max: 1426088 Min: 1406942 / Avg: 1416897 / Max: 1425294 Min: 2146570 / Avg: 2181413 / Max: 2264616 Min: 2816724 / Avg: 2878890 / Max: 2966404 Min: 2838430 / Avg: 2856386 / Max: 2874987 Min: 3834057 / Avg: 3871500.67 / Max: 3916648 Min: 4237623 / Avg: 4269210 / Max: 4289941 Min: 5049962 / Avg: 5078249.67 / Max: 5130940 Min: 5129861 / Avg: 5183447.67 / Max: 5239854 Min: 5184385 / Avg: 5195468.67 / Max: 5204506 Min: 4910935 / Avg: 4999805.67 / Max: 5100283 Min: 5416475 / Avg: 5472534 / Max: 5517893 Min: 6888150 / Avg: 6949809 / Max: 7071595 Min: 6631953 / Avg: 6670700.33 / Max: 6728625 Min: 7865169 / Avg: 7904493 / Max: 7941897 Min: 7823749 / Avg: 7860384.67 / Max: 7931649 Min: 1490063 / Avg: 1518866.33 / Max: 1554408 Min: 2901038 / Avg: 2919904.67 / Max: 2953404 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 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 +/- 0.000, N = 12 SE +/- 0.000, N = 12 SE +/- 0.000, N = 15 SE +/- 0.000, N = 15 SE +/- 0.194, N = 3 SE +/- 0.000, N = 12 SE +/- 0.000, N = 12 SE +/- 0.000, N = 12 SE +/- 0.009, N = 7 SE +/- 0.000, N = 3 SE +/- 0.000, N = 15 6.900 6.850 7.340 10.200 13.580 14.080 18.410 20.830 23.810 25.640 25.640 24.200 27.030 34.480 34.480 40.000 40.000 8.060 15.625 22.220
Result Confidence
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: Magnetic Reconnection - Renderer: SciVis EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 8 16 24 32 40 Min: 6.9 / Avg: 6.9 / Max: 6.9 Min: 6.85 / Avg: 6.85 / Max: 6.85 Min: 7.25 / Avg: 7.34 / Max: 7.35 Min: 10.2 / Avg: 10.2 / Max: 10.2 Min: 13.51 / Avg: 13.58 / Max: 13.7 Min: 14.08 / Avg: 14.08 / Max: 14.08 Min: 18.18 / Avg: 18.41 / Max: 18.52 Min: 20.83 / Avg: 20.83 / Max: 20.83 Min: 23.81 / Avg: 23.81 / Max: 23.81 Min: 25.64 / Avg: 25.64 / Max: 25.64 Min: 25.64 / Avg: 25.64 / Max: 25.64 Min: 23.81 / Avg: 24.2 / Max: 24.39 Min: 27.03 / Avg: 27.03 / Max: 27.03 Min: 34.48 / Avg: 34.48 / Max: 34.48 Min: 34.48 / Avg: 34.48 / Max: 34.48 Min: 8 / Avg: 8.06 / Max: 8.06 Min: 15.63 / Avg: 15.63 / Max: 15.63 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 60 120 180 240 300 SE +/- 0.07, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.08, 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 +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.09, N = 3 SE +/- 0.11, N = 3 259.91 263.95 248.28 176.76 138.76 128.23 103.23 88.68 79.73 72.87 72.85 75.18 67.63 53.83 53.49 45.43 45.57 216.15 110.04 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 50 100 150 200 250 Min: 259.78 / Avg: 259.91 / Max: 259.98 Min: 263.92 / Avg: 263.95 / Max: 263.99 Min: 248.24 / Avg: 248.28 / Max: 248.3 Min: 176.66 / Avg: 176.76 / Max: 176.83 Min: 138.68 / Avg: 138.76 / Max: 138.85 Min: 128.18 / Avg: 128.23 / Max: 128.29 Min: 103.17 / Avg: 103.23 / Max: 103.27 Min: 88.62 / Avg: 88.68 / Max: 88.73 Min: 79.71 / Avg: 79.73 / Max: 79.77 Min: 72.83 / Avg: 72.87 / Max: 72.93 Min: 72.69 / Avg: 72.85 / Max: 72.94 Min: 75.11 / Avg: 75.18 / Max: 75.24 Min: 67.59 / Avg: 67.63 / Max: 67.66 Min: 53.81 / Avg: 53.83 / Max: 53.85 Min: 53.48 / Avg: 53.49 / Max: 53.5 Min: 45.41 / Avg: 45.43 / Max: 45.46 Min: 45.55 / Avg: 45.57 / Max: 45.6 Min: 216.04 / Avg: 216.15 / Max: 216.26 Min: 109.88 / Avg: 110.04 / Max: 110.19 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 40M 80M 120M 160M 200M SE +/- 227455.75, N = 3 SE +/- 326575.75, N = 3 SE +/- 573712.98, N = 3 SE +/- 402653.87, N = 15 SE +/- 781709.19, N = 5 SE +/- 134953.06, N = 3 SE +/- 733157.90, N = 15 SE +/- 860434.27, N = 15 SE +/- 1122561.19, N = 15 SE +/- 1276317.53, N = 7 SE +/- 1040006.53, N = 15 SE +/- 358368.47, N = 3 SE +/- 526030.10, N = 3 SE +/- 1559101.58, N = 15 SE +/- 2240110.26, N = 5 SE +/- 2049696.22, N = 15 SE +/- 1899653.41, N = 15 SE +/- 621658.12, N = 3 SE +/- 1093756.73, N = 4 SE +/- 214890.39, N = 3 33751178 33393407 35301607 49276720 63230724 68867484 84742534 98307816 108651965 121673641 120922766 119286292 133751245 163000355 167150946 192210231 192725013 40658633 80061560 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 30M 60M 90M 120M 150M Min: 33435197 / Avg: 33751178.33 / Max: 34192586 Min: 32741134 / Avg: 33393407 / Max: 33748871 Min: 34154208 / Avg: 35301607 / Max: 35882118 Min: 47356643 / Avg: 49276720.13 / Max: 51259025 Min: 60131659 / Avg: 63230724 / Max: 64253059 Min: 68715282 / Avg: 68867484 / Max: 69136621 Min: 80711238 / Avg: 84742534.27 / Max: 87776559 Min: 93719478 / Avg: 98307816.2 / Max: 102407832 Min: 103874336 / Avg: 108651964.8 / Max: 114145821 Min: 114249697 / Avg: 121673641.14 / Max: 124512407 Min: 113942640 / Avg: 120922766.13 / Max: 124587119 Min: 118570199 / Avg: 119286292.33 / Max: 119670638 Min: 132715309 / Avg: 133751244.67 / Max: 134428118 Min: 155397851 / Avg: 163000355.4 / Max: 170264486 Min: 158235179 / Avg: 167150946.2 / Max: 170160556 Min: 183285104 / Avg: 192210230.73 / Max: 202087778 Min: 184745570 / Avg: 192725013.2 / Max: 201658187 Min: 39547827 / Avg: 40658633.33 / Max: 41697729 Min: 77755597 / Avg: 80061560.25 / Max: 82403261 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 13 26 39 52 65 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 SE +/- 0.00, N = 13 SE +/- 0.06, N = 4 SE +/- 0.13, N = 3 SE +/- 0.15, N = 3 SE +/- 0.00, N = 12 SE +/- 0.00, N = 15 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 SE +/- 0.00, N = 15 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 10.31 10.20 10.99 15.21 19.48 21.13 26.32 30.30 33.33 37.04 37.04 35.71 40.00 50.00 50.00 58.82 55.56 12.20 24.39 33.33
Result Confidence
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: San Miguel - Renderer: SciVis EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 12 24 36 48 60 Min: 10.31 / Avg: 10.31 / Max: 10.31 Min: 10.2 / Avg: 10.2 / Max: 10.2 Min: 10.99 / Avg: 10.99 / Max: 10.99 Min: 15.15 / Avg: 15.21 / Max: 15.38 Min: 19.23 / Avg: 19.48 / Max: 19.61 Min: 20.83 / Avg: 21.13 / Max: 21.28 Min: 26.32 / Avg: 26.32 / Max: 26.32 Min: 30.3 / Avg: 30.3 / Max: 30.3 Min: 33.33 / Avg: 33.33 / Max: 33.33 Min: 37.04 / Avg: 37.04 / Max: 37.04 Min: 37.04 / Avg: 37.04 / Max: 37.04 Min: 35.71 / Avg: 35.71 / Max: 35.71 Min: 58.82 / Avg: 58.82 / Max: 58.82 Min: 55.56 / Avg: 55.56 / Max: 55.56 Min: 12.2 / Avg: 12.2 / Max: 12.2 Min: 24.39 / Avg: 24.39 / Max: 24.39 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 200 400 600 800 1000 SE +/- 1.18, N = 3 SE +/- 1.81, N = 3 SE +/- 0.54, N = 3 SE +/- 0.91, N = 3 SE +/- 0.31, N = 3 SE +/- 0.21, N = 3 SE +/- 0.08, N = 3 SE +/- 0.35, N = 3 SE +/- 0.55, N = 3 SE +/- 0.17, N = 3 SE +/- 0.30, N = 3 SE +/- 0.15, N = 3 SE +/- 0.42, N = 3 SE +/- 0.44, N = 3 SE +/- 0.42, N = 3 SE +/- 0.29, N = 3 SE +/- 0.28, N = 3 SE +/- 0.23, N = 3 SE +/- 0.39, N = 3 SE +/- 0.63, N = 3 949.06 901.38 839.88 603.44 474.46 441.88 355.45 308.59 271.92 255.93 251.80 261.47 237.28 190.72 191.75 165.16 165.38 740.99 382.66 289.07
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Barbershop - Compute: CPU-Only EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 170 340 510 680 850 Min: 947.29 / Avg: 949.06 / Max: 951.3 Min: 899.18 / Avg: 901.38 / Max: 904.98 Min: 839.19 / Avg: 839.88 / Max: 840.95 Min: 601.9 / Avg: 603.44 / Max: 605.04 Min: 473.99 / Avg: 474.46 / Max: 475.04 Min: 441.47 / Avg: 441.88 / Max: 442.18 Min: 355.37 / Avg: 355.45 / Max: 355.61 Min: 307.98 / Avg: 308.59 / Max: 309.18 Min: 270.81 / Avg: 271.92 / Max: 272.54 Min: 255.71 / Avg: 255.93 / Max: 256.26 Min: 251.25 / Avg: 251.8 / Max: 252.27 Min: 261.18 / Avg: 261.47 / Max: 261.64 Min: 236.49 / Avg: 237.28 / Max: 237.91 Min: 190.15 / Avg: 190.72 / Max: 191.59 Min: 191.15 / Avg: 191.75 / Max: 192.56 Min: 164.79 / Avg: 165.16 / Max: 165.74 Min: 164.83 / Avg: 165.38 / Max: 165.73 Min: 740.6 / Avg: 740.99 / Max: 741.39 Min: 381.89 / Avg: 382.66 / Max: 383.15 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 13K 26K 39K 52K 65K SE +/- 33.59, N = 3 SE +/- 33.32, N = 3 SE +/- 70.89, N = 3 SE +/- 71.70, N = 3 SE +/- 45.83, N = 3 SE +/- 78.28, N = 3 SE +/- 246.39, N = 3 SE +/- 327.00, N = 3 SE +/- 300.18, N = 3 SE +/- 449.08, N = 3 SE +/- 400.69, N = 3 SE +/- 598.50, N = 3 SE +/- 463.85, N = 3 SE +/- 163.42, N = 3 SE +/- 184.21, N = 3 SE +/- 185.27, N = 3 SE +/- 257.77, N = 3 SE +/- 80.57, N = 3 SE +/- 51.15, N = 3 SE +/- 115.54, N = 3 10313 11114 11724 15990 20890 21913 27814 32046 33553 35209 36297 34775 38642 51417 50184 59016 57889 13123 25542 34247
Result Confidence
OpenBenchmarking.org Ksamples, More Is Better Chaos Group V-RAY 4.10.07 Mode: CPU EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 10K 20K 30K 40K 50K Min: 10258 / Avg: 10313.33 / Max: 10374 Min: 11048 / Avg: 11114 / Max: 11155 Min: 11589 / Avg: 11724 / Max: 11829 Min: 15849 / Avg: 15990.33 / Max: 16082 Min: 20818 / Avg: 20889.67 / Max: 20975 Min: 21758 / Avg: 21913.33 / Max: 22008 Min: 27433 / Avg: 27813.67 / Max: 28275 Min: 31560 / Avg: 32046 / Max: 32668 Min: 32978 / Avg: 33553 / Max: 33990 Min: 34745 / Avg: 35209 / Max: 36107 Min: 35508 / Avg: 36297 / Max: 36813 Min: 33578 / Avg: 34775 / Max: 35376 Min: 37769 / Avg: 38642.33 / Max: 39350 Min: 51109 / Avg: 51416.67 / Max: 51666 Min: 49929 / Avg: 50184.33 / Max: 50542 Min: 58749 / Avg: 59016 / Max: 59372 Min: 57376 / Avg: 57888.67 / Max: 58192 Min: 12994 / Avg: 13122.67 / Max: 13271 Min: 25445 / Avg: 25541.67 / Max: 25619 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 60K 120K 180K 240K 300K SE +/- 167.08, N = 3 SE +/- 82.45, N = 3 SE +/- 259.03, N = 3 SE +/- 210.33, N = 3 SE +/- 175.91, N = 3 SE +/- 425.32, N = 3 SE +/- 65.73, N = 3 SE +/- 595.37, N = 3 SE +/- 558.60, N = 3 SE +/- 246.91, N = 3 SE +/- 212.89, N = 3 SE +/- 133.83, N = 3 SE +/- 398.90, N = 3 SE +/- 439.74, N = 3 SE +/- 769.78, N = 3 SE +/- 456.77, N = 3 SE +/- 715.50, N = 3 SE +/- 309.32, N = 3 SE +/- 949.16, N = 3 SE +/- 404.23, N = 3 46061 47057 49291 68876 91147 95496 125699 138561 158903 169977 169995 167374 175716 224914 227772 262783 257597 55476 109514 149916 1. (CXX) g++ options: -pipe -lpthread
Result Confidence
OpenBenchmarking.org MIPS, More Is Better 7-Zip Compression 16.02 Compress Speed Test EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 50K 100K 150K 200K 250K Min: 45763 / Avg: 46060.67 / Max: 46341 Min: 46927 / Avg: 47057.33 / Max: 47210 Min: 48889 / Avg: 49291 / Max: 49775 Min: 68587 / Avg: 68875.67 / Max: 69285 Min: 90955 / Avg: 91146.67 / Max: 91498 Min: 94818 / Avg: 95496.33 / Max: 96280 Min: 125568 / Avg: 125699 / Max: 125774 Min: 137395 / Avg: 138560.67 / Max: 139354 Min: 157932 / Avg: 158902.67 / Max: 159867 Min: 169492 / Avg: 169976.67 / Max: 170301 Min: 169586 / Avg: 169995 / Max: 170302 Min: 167106 / Avg: 167373.67 / Max: 167508 Min: 174939 / Avg: 175715.67 / Max: 176262 Min: 224366 / Avg: 224914.33 / Max: 225784 Min: 226262 / Avg: 227771.67 / Max: 228788 Min: 262092 / Avg: 262783 / Max: 263646 Min: 256297 / Avg: 257597 / Max: 258765 Min: 54860 / Avg: 55475.67 / Max: 55836 Min: 107957 / Avg: 109514 / Max: 111233 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 12 24 36 48 60 SE +/- 0.0813, N = 3 SE +/- 0.0267, N = 3 SE +/- 0.0102, N = 3 SE +/- 0.1343, N = 3 SE +/- 0.0341, N = 3 SE +/- 0.1895, N = 3 SE +/- 0.2541, N = 3 SE +/- 0.2494, N = 3 SE +/- 0.0606, N = 3 SE +/- 0.3034, N = 3 SE +/- 0.2760, N = 3 SE +/- 0.1971, N = 3 SE +/- 0.2618, N = 3 SE +/- 0.4040, N = 3 SE +/- 0.3010, N = 3 SE +/- 0.3470, N = 3 SE +/- 0.0882, N = 3 SE +/- 0.0285, N = 3 SE +/- 0.1347, N = 3 SE +/- 0.1842, N = 3 9.3351 9.4305 9.7040 14.0979 18.6826 19.2865 25.3374 28.4980 33.0034 35.5207 35.6826 33.3760 37.5947 46.9637 47.4509 53.2204 52.8060 10.5746 21.0131 30.1365
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer - Model: Asian Dragon EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 11 22 33 44 55 Min: 9.19 / Avg: 9.34 / Max: 9.48 Min: 9.38 / Avg: 9.43 / Max: 9.46 Min: 9.69 / Avg: 9.7 / Max: 9.72 Min: 13.94 / Avg: 14.1 / Max: 14.37 Min: 18.62 / Avg: 18.68 / Max: 18.73 Min: 19.05 / Avg: 19.29 / Max: 19.66 Min: 25.05 / Avg: 25.34 / Max: 25.84 Min: 28.2 / Avg: 28.5 / Max: 28.99 Min: 32.88 / Avg: 33 / Max: 33.08 Min: 35.07 / Avg: 35.52 / Max: 36.1 Min: 35.13 / Avg: 35.68 / Max: 36 Min: 33.1 / Avg: 33.38 / Max: 33.76 Min: 37.26 / Avg: 37.59 / Max: 38.11 Min: 46.17 / Avg: 46.96 / Max: 47.48 Min: 47.13 / Avg: 47.45 / Max: 48.05 Min: 52.55 / Avg: 53.22 / Max: 53.72 Min: 52.67 / Avg: 52.81 / Max: 52.97 Min: 10.52 / Avg: 10.57 / Max: 10.61 Min: 20.82 / Avg: 21.01 / Max: 21.27 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 40K 80K 120K 160K 200K SE +/- 39.70, N = 3 SE +/- 70.70, N = 3 SE +/- 148.50, N = 3 SE +/- 56.60, N = 3 SE +/- 66.43, N = 3 SE +/- 159.97, N = 3 SE +/- 200.02, N = 3 SE +/- 155.82, N = 3 SE +/- 135.20, N = 3 SE +/- 354.61, N = 3 SE +/- 1080.49, N = 3 SE +/- 392.03, N = 3 SE +/- 535.34, N = 3 SE +/- 811.81, N = 3 SE +/- 471.06, N = 3 SE +/- 261.22, N = 3 SE +/- 430.58, N = 3 SE +/- 88.23, N = 3 SE +/- 311.46, N = 3 SE +/- 205.68, N = 3 31460.75 31420.05 33377.45 46353.74 58509.29 63181.99 79169.26 91534.93 101602.76 111016.59 110937.29 108030.59 120546.41 149827.50 151931.12 177538.11 178073.14 38372.40 75406.32 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 30K 60K 90K 120K 150K Min: 31408.37 / Avg: 31460.75 / Max: 31538.63 Min: 31287.32 / Avg: 31420.05 / Max: 31528.62 Min: 33134.13 / Avg: 33377.45 / Max: 33646.61 Min: 46240.55 / Avg: 46353.74 / Max: 46410.96 Min: 58381.23 / Avg: 58509.29 / Max: 58603.95 Min: 62930.24 / Avg: 63181.99 / Max: 63478.86 Min: 78895.81 / Avg: 79169.26 / Max: 79558.86 Min: 91331.78 / Avg: 91534.93 / Max: 91841.16 Min: 101390.5 / Avg: 101602.76 / Max: 101853.95 Min: 110444.66 / Avg: 111016.59 / Max: 111665.76 Min: 109225.78 / Avg: 110937.29 / Max: 112935.61 Min: 107251.11 / Avg: 108030.59 / Max: 108493.62 Min: 119657.67 / Avg: 120546.41 / Max: 121507.85 Min: 148869.56 / Avg: 149827.5 / Max: 151441.76 Min: 151052.76 / Avg: 151931.12 / Max: 152665.37 Min: 177029.44 / Avg: 177538.11 / Max: 177895.63 Min: 177510.03 / Avg: 178073.14 / Max: 178918.95 Min: 38216.05 / Avg: 38372.4 / Max: 38521.42 Min: 75087.8 / Avg: 75406.32 / Max: 76029.19 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 12 24 36 48 60 SE +/- 0.0263, N = 3 SE +/- 0.0244, N = 3 SE +/- 0.0609, N = 3 SE +/- 0.0506, N = 3 SE +/- 0.0207, N = 3 SE +/- 0.0257, N = 3 SE +/- 0.1182, N = 3 SE +/- 0.2726, N = 3 SE +/- 0.2284, N = 3 SE +/- 0.3906, N = 3 SE +/- 0.1490, N = 3 SE +/- 0.3156, N = 3 SE +/- 0.2017, N = 3 SE +/- 0.3207, N = 3 SE +/- 0.0717, N = 3 SE +/- 0.0362, N = 3 SE +/- 0.0763, N = 3 SE +/- 0.0158, N = 3 SE +/- 0.2322, N = 3 SE +/- 0.2780, N = 3 9.2306 9.3926 9.6834 14.0144 18.4925 19.1386 25.2623 28.7777 33.2007 35.0164 35.0480 33.7127 36.9981 46.8396 47.4349 52.1229 51.6425 10.5068 21.3898 30.0839
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer ISPC - Model: Asian Dragon EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 10 20 30 40 50 Min: 9.18 / Avg: 9.23 / Max: 9.26 Min: 9.35 / Avg: 9.39 / Max: 9.43 Min: 9.59 / Avg: 9.68 / Max: 9.8 Min: 13.92 / Avg: 14.01 / Max: 14.09 Min: 18.47 / Avg: 18.49 / Max: 18.53 Min: 19.1 / Avg: 19.14 / Max: 19.19 Min: 25.06 / Avg: 25.26 / Max: 25.47 Min: 28.23 / Avg: 28.78 / Max: 29.09 Min: 32.78 / Avg: 33.2 / Max: 33.56 Min: 34.61 / Avg: 35.02 / Max: 35.8 Min: 34.78 / Avg: 35.05 / Max: 35.3 Min: 33.09 / Avg: 33.71 / Max: 34.1 Min: 36.6 / Avg: 37 / Max: 37.24 Min: 46.3 / Avg: 46.84 / Max: 47.41 Min: 47.31 / Avg: 47.43 / Max: 47.56 Min: 52.07 / Avg: 52.12 / Max: 52.19 Min: 51.55 / Avg: 51.64 / Max: 51.79 Min: 10.48 / Avg: 10.51 / Max: 10.53 Min: 20.93 / Avg: 21.39 / Max: 21.64 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 140 280 420 560 700 SE +/- 1.46, N = 3 SE +/- 0.91, N = 3 SE +/- 1.13, N = 3 SE +/- 0.66, N = 3 SE +/- 1.54, N = 3 SE +/- 0.76, N = 3 SE +/- 0.28, N = 3 SE +/- 0.92, N = 3 SE +/- 1.21, N = 3 SE +/- 0.49, N = 3 SE +/- 0.37, N = 3 SE +/- 1.29, N = 3 SE +/- 0.75, N = 3 SE +/- 0.37, N = 3 SE +/- 0.21, N = 3 SE +/- 0.14, N = 3 SE +/- 0.10, N = 3 SE +/- 0.71, N = 3 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 632.59 625.57 586.46 431.29 339.18 314.32 249.36 217.18 197.80 176.75 179.24 186.22 165.59 130.69 133.19 112.70 112.75 503.70 264.58 198.29
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Classroom - Compute: CPU-Only EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 110 220 330 440 550 Min: 630.83 / Avg: 632.59 / Max: 635.48 Min: 624.29 / Avg: 625.57 / Max: 627.33 Min: 584.48 / Avg: 586.46 / Max: 588.41 Min: 430.28 / Avg: 431.29 / Max: 432.54 Min: 336.13 / Avg: 339.18 / Max: 341.08 Min: 313.32 / Avg: 314.32 / Max: 315.81 Min: 248.79 / Avg: 249.36 / Max: 249.66 Min: 215.35 / Avg: 217.18 / Max: 218.25 Min: 196.12 / Avg: 197.8 / Max: 200.15 Min: 176.01 / Avg: 176.75 / Max: 177.67 Min: 178.66 / Avg: 179.24 / Max: 179.92 Min: 184.11 / Avg: 186.22 / Max: 188.57 Min: 164.16 / Avg: 165.59 / Max: 166.7 Min: 130.1 / Avg: 130.69 / Max: 131.36 Min: 132.79 / Avg: 133.19 / Max: 133.49 Min: 112.45 / Avg: 112.7 / Max: 112.92 Min: 112.54 / Avg: 112.75 / Max: 112.87 Min: 502.58 / Avg: 503.7 / Max: 505.02 Min: 264.44 / Avg: 264.58 / Max: 264.72 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 110 220 330 440 550 SE +/- 0.23, N = 3 SE +/- 0.38, N = 3 SE +/- 0.20, N = 3 SE +/- 1.02, N = 3 SE +/- 0.12, N = 3 SE +/- 0.13, N = 3 SE +/- 1.84, N = 3 SE +/- 0.47, N = 3 SE +/- 0.69, N = 3 SE +/- 1.11, N = 3 SE +/- 2.40, N = 3 SE +/- 3.58, N = 3 SE +/- 1.04, N = 3 SE +/- 0.43, N = 3 SE +/- 1.51, N = 3 SE +/- 2.58, N = 3 SE +/- 1.07, N = 3 SE +/- 0.42, N = 3 SE +/- 0.38, N = 3 SE +/- 0.75, N = 3 92.91 88.72 93.54 130.98 178.83 185.83 225.22 268.70 301.70 323.52 321.44 290.28 343.46 424.70 429.76 492.81 439.04 107.89 216.80 291.15
Result Confidence
OpenBenchmarking.org Items / Sec, More Is Better OpenVKL 0.9 Benchmark: vklBenchmark EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 90 180 270 360 450 Min: 92.56 / Avg: 92.91 / Max: 93.33 Min: 88 / Avg: 88.72 / Max: 89.28 Min: 93.17 / Avg: 93.54 / Max: 93.83 Min: 129 / Avg: 130.98 / Max: 132.39 Min: 178.67 / Avg: 178.83 / Max: 179.06 Min: 185.61 / Avg: 185.83 / Max: 186.06 Min: 221.61 / Avg: 225.22 / Max: 227.67 Min: 267.89 / Avg: 268.7 / Max: 269.5 Min: 300.33 / Avg: 301.7 / Max: 302.44 Min: 321.67 / Avg: 323.52 / Max: 325.5 Min: 316.78 / Avg: 321.44 / Max: 324.72 Min: 283.11 / Avg: 290.28 / Max: 294 Min: 341.94 / Avg: 343.46 / Max: 345.44 Min: 423.89 / Avg: 424.7 / Max: 425.33 Min: 427.78 / Avg: 429.76 / Max: 432.72 Min: 487.72 / Avg: 492.81 / Max: 496.11 Min: 437.83 / Avg: 439.04 / Max: 441.17 Min: 107.06 / Avg: 107.89 / Max: 108.39 Min: 216.39 / Avg: 216.8 / Max: 217.56 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 140K 280K 420K 560K 700K SE +/- 115.43, N = 3 SE +/- 157.51, N = 3 SE +/- 19.09, N = 3 SE +/- 115.16, N = 3 SE +/- 603.89, N = 3 SE +/- 275.65, N = 3 SE +/- 930.38, N = 3 SE +/- 1231.54, N = 3 SE +/- 1084.86, N = 3 SE +/- 1346.26, N = 3 SE +/- 1517.69, N = 3 SE +/- 275.01, N = 3 SE +/- 793.66, N = 3 SE +/- 662.65, N = 3 SE +/- 2646.60, N = 3 SE +/- 2400.08, N = 3 SE +/- 2560.60, N = 3 SE +/- 212.03, N = 3 SE +/- 1205.14, N = 3 SE +/- 2361.40, N = 3 116199.55 116309.56 123755.93 175151.29 227661.36 233355.09 295072.85 336284.14 387824.66 410519.36 414301.15 392610.75 429545.18 537342.45 528168.36 641928.60 637854.00 142120.89 271798.18 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 110K 220K 330K 440K 550K Min: 116002.14 / Avg: 116199.55 / Max: 116401.9 Min: 116098.13 / Avg: 116309.56 / Max: 116617.51 Min: 123733.99 / Avg: 123755.93 / Max: 123793.96 Min: 174995.49 / Avg: 175151.29 / Max: 175376.09 Min: 226946.22 / Avg: 227661.36 / Max: 228861.82 Min: 233029.99 / Avg: 233355.09 / Max: 233903.24 Min: 293884.4 / Avg: 295072.85 / Max: 296907.04 Min: 334098.38 / Avg: 336284.14 / Max: 338360.35 Min: 386429 / Avg: 387824.66 / Max: 389961.2 Min: 408885.28 / Avg: 410519.36 / Max: 413189.67 Min: 411702.04 / Avg: 414301.15 / Max: 416958.52 Min: 392079.84 / Avg: 392610.75 / Max: 393000.66 Min: 428623.54 / Avg: 429545.18 / Max: 431125.21 Min: 536191.54 / Avg: 537342.45 / Max: 538486.99 Min: 523031.78 / Avg: 528168.36 / Max: 531843.49 Min: 637432.56 / Avg: 641928.6 / Max: 645632.79 Min: 633035.51 / Avg: 637854 / Max: 641765.47 Min: 141814.3 / Avg: 142120.89 / Max: 142527.91 Min: 270479.97 / Avg: 271798.18 / Max: 274204.81 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 20 40 60 80 100 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 SE +/- 0.00, N = 3 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 SE +/- 0.00, N = 3 SE +/- 0.00, N = 12 SE +/- 0.72, N = 5 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 SE +/- 0.10, N = 3 SE +/- 0.00, N = 12 SE +/- 0.00, N = 3 14.08 14.29 15.63 21.28 27.03 29.41 35.71 41.67 45.45 50.00 50.00 47.62 53.80 66.67 66.67 76.92 76.92 17.14 33.33 45.45
Result Confidence
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: NASA Streamlines - Renderer: SciVis EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 15 30 45 60 75 Min: 14.08 / Avg: 14.08 / Max: 14.08 Min: 14.29 / Avg: 14.29 / Max: 14.29 Min: 15.63 / Avg: 15.63 / Max: 15.63 Min: 21.28 / Avg: 21.28 / Max: 21.28 Min: 27.03 / Avg: 27.03 / Max: 27.03 Min: 29.41 / Avg: 29.41 / Max: 29.41 Min: 35.71 / Avg: 35.71 / Max: 35.71 Min: 41.67 / Avg: 41.67 / Max: 41.67 Min: 45.45 / Avg: 45.45 / Max: 45.45 Min: 47.62 / Avg: 47.62 / Max: 47.62 Min: 52.63 / Avg: 53.8 / Max: 55.56 Min: 66.67 / Avg: 66.67 / Max: 66.67 Min: 66.67 / Avg: 66.67 / Max: 66.67 Min: 76.92 / Avg: 76.92 / Max: 76.92 Min: 76.92 / Avg: 76.92 / Max: 76.92 Min: 16.95 / Avg: 17.14 / Max: 17.24 Min: 33.33 / Avg: 33.33 / Max: 33.33 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 11 22 33 44 55 SE +/- 0.0184, N = 3 SE +/- 0.0109, N = 3 SE +/- 0.0183, N = 3 SE +/- 0.0181, N = 3 SE +/- 0.0122, N = 3 SE +/- 0.0059, N = 3 SE +/- 0.0170, N = 3 SE +/- 0.0311, N = 3 SE +/- 0.0391, N = 3 SE +/- 0.0379, N = 3 SE +/- 0.0461, N = 3 SE +/- 0.0478, N = 3 SE +/- 0.0968, N = 3 SE +/- 0.0752, N = 3 SE +/- 0.0268, N = 3 SE +/- 0.0648, N = 3 SE +/- 0.0908, N = 3 SE +/- 0.0029, N = 3 SE +/- 0.0439, N = 3 SE +/- 0.0707, N = 3 8.6971 8.7510 9.0028 13.1278 17.3009 17.9550 23.5552 26.3280 30.3852 32.4407 32.5488 31.0287 34.1704 43.0274 43.1151 47.4287 47.0971 9.9019 19.9576 27.8014
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer - Model: Asian Dragon Obj EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 10 20 30 40 50 Min: 8.67 / Avg: 8.7 / Max: 8.73 Min: 8.73 / Avg: 8.75 / Max: 8.76 Min: 8.98 / Avg: 9 / Max: 9.04 Min: 13.1 / Avg: 13.13 / Max: 13.16 Min: 17.28 / Avg: 17.3 / Max: 17.32 Min: 17.94 / Avg: 17.96 / Max: 17.97 Min: 23.53 / Avg: 23.56 / Max: 23.59 Min: 26.27 / Avg: 26.33 / Max: 26.38 Min: 30.34 / Avg: 30.39 / Max: 30.46 Min: 32.37 / Avg: 32.44 / Max: 32.5 Min: 32.49 / Avg: 32.55 / Max: 32.64 Min: 30.93 / Avg: 31.03 / Max: 31.09 Min: 33.98 / Avg: 34.17 / Max: 34.29 Min: 42.88 / Avg: 43.03 / Max: 43.12 Min: 43.07 / Avg: 43.12 / Max: 43.16 Min: 47.32 / Avg: 47.43 / Max: 47.55 Min: 46.92 / Avg: 47.1 / Max: 47.21 Min: 9.9 / Avg: 9.9 / Max: 9.91 Min: 19.87 / Avg: 19.96 / Max: 20.02 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 1.2422 2.4844 3.7266 4.9688 6.211 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.004, N = 3 SE +/- 0.001, N = 3 SE +/- 0.004, N = 3 SE +/- 0.004, N = 3 SE +/- 0.004, N = 3 SE +/- 0.003, N = 3 SE +/- 0.008, N = 3 SE +/- 0.008, N = 3 SE +/- 0.007, N = 3 SE +/- 0.008, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.005, N = 3 SE +/- 0.002, N = 3 1.014 1.057 1.097 1.611 2.103 2.176 2.833 3.224 3.688 3.937 3.965 3.771 4.251 5.293 5.159 5.521 5.418 1.220 2.419 3.398
Result Confidence
OpenBenchmarking.org M samples/s, More Is Better IndigoBench 4.0.64 Scene: Bedroom EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 2 4 6 8 10 Min: 1.01 / Avg: 1.01 / Max: 1.02 Min: 1.05 / Avg: 1.06 / Max: 1.06 Min: 1.1 / Avg: 1.1 / Max: 1.1 Min: 1.61 / Avg: 1.61 / Max: 1.61 Min: 2.1 / Avg: 2.1 / Max: 2.11 Min: 2.17 / Avg: 2.18 / Max: 2.18 Min: 2.83 / Avg: 2.83 / Max: 2.84 Min: 3.22 / Avg: 3.22 / Max: 3.23 Min: 3.68 / Avg: 3.69 / Max: 3.69 Min: 3.93 / Avg: 3.94 / Max: 3.95 Min: 3.96 / Avg: 3.97 / Max: 3.97 Min: 3.77 / Avg: 3.77 / Max: 3.78 Min: 4.24 / Avg: 4.25 / Max: 4.27 Min: 5.29 / Avg: 5.29 / Max: 5.31 Min: 5.15 / Avg: 5.16 / Max: 5.17 Min: 5.51 / Avg: 5.52 / Max: 5.53 Min: 5.42 / Avg: 5.42 / Max: 5.42 Min: 1.22 / Avg: 1.22 / Max: 1.22 Min: 2.41 / Avg: 2.42 / Max: 2.43 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 50K 100K 150K 200K 250K SE +/- 135.06, N = 3 SE +/- 180.35, N = 3 SE +/- 218.45, N = 3 SE +/- 674.43, N = 3 SE +/- 1109.12, N = 3 SE +/- 1172.51, N = 3 SE +/- 2165.41, N = 5 SE +/- 2252.44, N = 3 SE +/- 2362.56, N = 6 SE +/- 956.08, N = 3 SE +/- 2680.04, N = 3 SE +/- 2557.41, N = 15 SE +/- 2505.69, N = 15 SE +/- 2783.17, N = 4 SE +/- 1820.08, N = 15 SE +/- 2053.52, N = 10 SE +/- 1719.61, N = 3 SE +/- 364.13, N = 3 SE +/- 970.11, N = 3 SE +/- 1497.72, N = 13 40445 41662 43203 76751 122041 112020 162681 180592 199364 214486 205457 193790 211140 203081 196720 218480 218854 49086 127262 184455
Result Confidence
OpenBenchmarking.org Op/s, More Is Better Apache Cassandra 3.11.4 Test: Writes EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 40K 80K 120K 160K 200K Min: 40189 / Avg: 40444.67 / Max: 40648 Min: 41364 / Avg: 41662 / Max: 41987 Min: 42953 / Avg: 43202.67 / Max: 43638 Min: 75429 / Avg: 76751.33 / Max: 77643 Min: 120158 / Avg: 122041.33 / Max: 123998 Min: 109894 / Avg: 112020 / Max: 113940 Min: 155800 / Avg: 162680.8 / Max: 166977 Min: 176111 / Avg: 180591.67 / Max: 183236 Min: 190358 / Avg: 199364 / Max: 208384 Min: 212577 / Avg: 214486.33 / Max: 215531 Min: 202352 / Avg: 205456.67 / Max: 210793 Min: 176360 / Avg: 193789.73 / Max: 202817 Min: 196521 / Avg: 211139.8 / Max: 221898 Min: 198780 / Avg: 203080.5 / Max: 211125 Min: 189102 / Avg: 196719.53 / Max: 208592 Min: 207486 / Avg: 218480.4 / Max: 225818 Min: 215677 / Avg: 218854.33 / Max: 221583 Min: 48473 / Avg: 49086 / Max: 49733 Min: 126002 / Avg: 127262.33 / Max: 129170 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 10 20 30 40 50 SE +/- 0.0216, N = 3 SE +/- 0.0111, N = 3 SE +/- 0.0078, N = 3 SE +/- 0.0365, N = 3 SE +/- 0.0549, N = 3 SE +/- 0.0117, N = 3 SE +/- 0.0037, N = 3 SE +/- 0.0049, N = 3 SE +/- 0.0032, N = 3 SE +/- 0.0547, N = 3 SE +/- 0.0668, N = 3 SE +/- 0.0254, N = 3 SE +/- 0.0311, N = 3 SE +/- 0.0861, N = 3 SE +/- 0.0860, N = 3 SE +/- 0.0423, N = 3 SE +/- 0.0544, N = 3 SE +/- 0.0091, N = 3 SE +/- 0.1352, N = 3 SE +/- 0.0834, N = 3 8.3087 8.3807 8.6359 12.5387 16.6041 17.2397 22.4622 25.2413 29.1758 31.0503 31.1938 29.8408 32.9632 41.1410 41.0754 44.9159 44.5624 9.4614 18.9692 26.7566
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer ISPC - Model: Asian Dragon Obj EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 9 18 27 36 45 Min: 8.27 / Avg: 8.31 / Max: 8.34 Min: 8.36 / Avg: 8.38 / Max: 8.4 Min: 8.62 / Avg: 8.64 / Max: 8.65 Min: 12.48 / Avg: 12.54 / Max: 12.6 Min: 16.5 / Avg: 16.6 / Max: 16.69 Min: 17.22 / Avg: 17.24 / Max: 17.26 Min: 22.45 / Avg: 22.46 / Max: 22.47 Min: 25.23 / Avg: 25.24 / Max: 25.25 Min: 29.17 / Avg: 29.18 / Max: 29.18 Min: 30.96 / Avg: 31.05 / Max: 31.15 Min: 31.08 / Avg: 31.19 / Max: 31.31 Min: 29.81 / Avg: 29.84 / Max: 29.89 Min: 32.92 / Avg: 32.96 / Max: 33.02 Min: 40.97 / Avg: 41.14 / Max: 41.25 Min: 40.91 / Avg: 41.08 / Max: 41.18 Min: 44.87 / Avg: 44.92 / Max: 45 Min: 44.45 / Avg: 44.56 / Max: 44.62 Min: 9.45 / Avg: 9.46 / Max: 9.48 Min: 18.71 / Avg: 18.97 / Max: 19.16 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 70 140 210 280 350 SE +/- 0.42, N = 3 SE +/- 0.45, N = 3 SE +/- 0.46, N = 3 SE +/- 0.17, N = 3 SE +/- 0.59, N = 3 SE +/- 0.81, N = 3 SE +/- 0.59, N = 3 SE +/- 0.75, N = 3 SE +/- 0.64, N = 3 SE +/- 0.31, N = 3 SE +/- 0.46, N = 3 SE +/- 0.23, N = 3 SE +/- 0.29, N = 3 SE +/- 0.29, N = 3 SE +/- 0.40, N = 3 SE +/- 0.15, N = 3 SE +/- 0.07, N = 3 SE +/- 0.43, N = 3 SE +/- 0.78, N = 3 SE +/- 0.55, N = 3 303.59 309.85 286.30 212.16 166.07 155.20 126.67 108.46 97.72 89.98 89.86 91.87 83.82 67.38 67.16 57.51 57.77 254.24 132.61 99.12 1. (CXX) g++ options: -O2 -lOpenCL
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP LavaMD EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 60 120 180 240 300 Min: 302.91 / Avg: 303.59 / Max: 304.34 Min: 309.02 / Avg: 309.85 / Max: 310.56 Min: 285.71 / Avg: 286.3 / Max: 287.21 Min: 211.93 / Avg: 212.16 / Max: 212.49 Min: 165.23 / Avg: 166.07 / Max: 167.2 Min: 154.04 / Avg: 155.2 / Max: 156.75 Min: 125.55 / Avg: 126.67 / Max: 127.57 Min: 107.41 / Avg: 108.46 / Max: 109.91 Min: 97.08 / Avg: 97.72 / Max: 99 Min: 89.65 / Avg: 89.98 / Max: 90.59 Min: 89.2 / Avg: 89.86 / Max: 90.75 Min: 91.56 / Avg: 91.87 / Max: 92.33 Min: 83.25 / Avg: 83.82 / Max: 84.14 Min: 67.07 / Avg: 67.37 / Max: 67.95 Min: 66.55 / Avg: 67.16 / Max: 67.92 Min: 57.23 / Avg: 57.51 / Max: 57.76 Min: 57.69 / Avg: 57.77 / Max: 57.9 Min: 253.65 / Avg: 254.24 / Max: 255.07 Min: 131.57 / Avg: 132.61 / Max: 134.13 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 2 4 6 8 10 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, 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 +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 1.22 1.24 1.30 1.76 2.28 2.43 3.01 3.48 3.89 4.35 4.38 4.12 4.75 5.61 5.64 6.56 6.10 1.56 2.97 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 3 6 9 12 15 Min: 1.2 / Avg: 1.22 / Max: 1.23 Min: 1.23 / Avg: 1.24 / Max: 1.24 Min: 1.29 / Avg: 1.3 / Max: 1.3 Min: 1.75 / Avg: 1.76 / Max: 1.77 Min: 2.27 / Avg: 2.28 / Max: 2.3 Min: 2.42 / Avg: 2.43 / Max: 2.43 Min: 2.99 / Avg: 3.01 / Max: 3.02 Min: 3.44 / Avg: 3.48 / Max: 3.51 Min: 3.89 / Avg: 3.89 / Max: 3.9 Min: 4.31 / Avg: 4.35 / Max: 4.37 Min: 4.36 / Avg: 4.38 / Max: 4.41 Min: 4.12 / Avg: 4.12 / Max: 4.13 Min: 4.74 / Avg: 4.75 / Max: 4.76 Min: 5.59 / Avg: 5.61 / Max: 5.66 Min: 5.6 / Avg: 5.64 / Max: 5.67 Min: 6.53 / Avg: 6.56 / Max: 6.59 Min: 6.09 / Avg: 6.1 / Max: 6.12 Min: 1.55 / Avg: 1.56 / Max: 1.57 Min: 2.96 / Avg: 2.97 / Max: 2.98 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 2 4 6 8 10 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 1.23 1.24 1.29 1.77 2.30 2.44 3.02 3.49 3.88 4.35 4.30 4.12 4.73 5.58 5.63 6.58 6.11 1.55 2.98 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 3 6 9 12 15 Min: 1.22 / Avg: 1.23 / Max: 1.24 Min: 1.23 / Avg: 1.24 / Max: 1.25 Min: 1.29 / Avg: 1.29 / Max: 1.3 Min: 1.77 / Avg: 1.77 / Max: 1.78 Min: 2.29 / Avg: 2.3 / Max: 2.3 Min: 2.43 / Avg: 2.44 / Max: 2.46 Min: 3 / Avg: 3.02 / Max: 3.03 Min: 3.47 / Avg: 3.49 / Max: 3.51 Min: 3.86 / Avg: 3.88 / Max: 3.9 Min: 4.33 / Avg: 4.35 / Max: 4.38 Min: 4.26 / Avg: 4.3 / Max: 4.33 Min: 4.11 / Avg: 4.12 / Max: 4.13 Min: 4.72 / Avg: 4.73 / Max: 4.75 Min: 5.53 / Avg: 5.58 / Max: 5.63 Min: 5.61 / Avg: 5.63 / Max: 5.65 Min: 6.56 / Avg: 6.58 / Max: 6.6 Min: 6.1 / Avg: 6.11 / Max: 6.12 Min: 1.53 / Avg: 1.55 / Max: 1.58 Min: 2.95 / Avg: 2.98 / Max: 3.01 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 200 400 600 800 1000 SE +/- 0.33, N = 3 SE +/- 0.88, N = 3 SE +/- 0.33, N = 3 SE +/- 0.58, N = 3 SE +/- 0.88, N = 3 SE +/- 0.58, N = 3 SE +/- 0.33, N = 3 SE +/- 0.58, N = 3 165 162 174 240 315 332 415 471 532 570 582 554 601 732 756 864 820 196 384 513 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 150 300 450 600 750 Min: 415 / Avg: 415.33 / Max: 416 Min: 530 / Avg: 531.67 / Max: 533 Min: 554 / Avg: 554.33 / Max: 555 Min: 755 / Avg: 756 / Max: 757 Min: 862 / Avg: 863.67 / Max: 865 Min: 819 / Avg: 820 / Max: 821 Min: 196 / Avg: 196.33 / Max: 197 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 8 16 24 32 40 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 32.38 32.88 30.98 22.25 17.54 16.30 13.30 11.48 10.39 9.55 9.56 9.87 8.88 7.26 7.21 6.25 6.26 27.00 13.77 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 7 14 21 28 35 Min: 32.37 / Avg: 32.38 / Max: 32.38 Min: 32.87 / Avg: 32.88 / Max: 32.89 Min: 30.94 / Avg: 30.98 / Max: 31.02 Min: 22.24 / Avg: 22.25 / Max: 22.25 Min: 17.54 / Avg: 17.54 / Max: 17.55 Min: 16.29 / Avg: 16.3 / Max: 16.3 Min: 13.3 / Avg: 13.3 / Max: 13.3 Min: 11.48 / Avg: 11.48 / Max: 11.49 Min: 10.38 / Avg: 10.39 / Max: 10.4 Min: 9.55 / Avg: 9.55 / Max: 9.55 Min: 9.55 / Avg: 9.56 / Max: 9.57 Min: 9.87 / Avg: 9.87 / Max: 9.87 Min: 8.88 / Avg: 8.88 / Max: 8.89 Min: 7.25 / Avg: 7.26 / Max: 7.26 Min: 7.21 / Avg: 7.21 / Max: 7.22 Min: 6.24 / Avg: 6.25 / Max: 6.25 Min: 6.25 / Avg: 6.26 / Max: 6.27 Min: 26.97 / Avg: 27 / Max: 27.02 Min: 13.76 / Avg: 13.77 / Max: 13.78 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 3 6 9 12 15 SE +/- 0.13888, N = 3 SE +/- 0.02321, N = 3 SE +/- 0.06464, N = 3 SE +/- 0.07848, N = 3 SE +/- 0.07374, N = 3 SE +/- 0.00888, N = 3 SE +/- 0.02264, N = 3 SE +/- 0.04730, N = 3 SE +/- 0.01709, N = 3 SE +/- 0.00330, N = 3 SE +/- 0.00963, N = 3 SE +/- 0.01388, N = 3 SE +/- 0.00727, N = 3 SE +/- 0.03246, N = 3 SE +/- 0.00807, N = 3 SE +/- 0.01117, N = 3 SE +/- 0.00193, N = 3 SE +/- 0.04355, N = 3 SE +/- 0.03563, N = 3 SE +/- 0.03237, N = 3 9.24304 9.61958 8.37286 5.80076 6.27642 6.23365 7.15861 6.08993 2.37717 2.23666 2.20492 2.39590 2.11379 2.07711 1.97320 1.84929 2.11772 7.96836 5.61953 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 3 6 9 12 15 Min: 9 / Avg: 9.24 / Max: 9.48 Min: 9.58 / Avg: 9.62 / Max: 9.65 Min: 8.25 / Avg: 8.37 / Max: 8.47 Min: 5.71 / Avg: 5.8 / Max: 5.96 Min: 6.18 / Avg: 6.28 / Max: 6.42 Min: 6.22 / Avg: 6.23 / Max: 6.24 Min: 7.12 / Avg: 7.16 / Max: 7.19 Min: 6.03 / Avg: 6.09 / Max: 6.18 Min: 2.34 / Avg: 2.38 / Max: 2.4 Min: 2.23 / Avg: 2.24 / Max: 2.24 Min: 2.19 / Avg: 2.2 / Max: 2.22 Min: 2.37 / Avg: 2.4 / Max: 2.42 Min: 2.1 / Avg: 2.11 / Max: 2.13 Min: 2.03 / Avg: 2.08 / Max: 2.14 Min: 1.96 / Avg: 1.97 / Max: 1.99 Min: 1.83 / Avg: 1.85 / Max: 1.87 Min: 2.11 / Avg: 2.12 / Max: 2.12 Min: 7.89 / Avg: 7.97 / Max: 8.04 Min: 5.55 / Avg: 5.62 / Max: 5.66 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 50 100 150 200 250 SE +/- 1.38, N = 3 SE +/- 0.18, N = 3 SE +/- 0.74, N = 3 SE +/- 0.40, N = 3 SE +/- 0.31, N = 3 SE +/- 0.07, N = 3 SE +/- 0.08, N = 3 SE +/- 0.33, N = 3 SE +/- 0.73, N = 3 SE +/- 0.08, N = 3 SE +/- 0.39, N = 3 SE +/- 0.11, N = 3 SE +/- 0.22, N = 3 SE +/- 0.33, N = 3 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.14, N = 3 SE +/- 0.21, N = 3 SE +/- 0.13, N = 3 SE +/- 0.32, N = 3 214.06 207.16 192.65 144.84 114.07 107.22 84.66 73.60 69.33 61.39 62.29 64.81 58.77 47.77 48.27 42.02 41.73 165.25 88.35 68.12
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: BMW27 - Compute: CPU-Only EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 40 80 120 160 200 Min: 212.22 / Avg: 214.06 / Max: 216.75 Min: 206.8 / Avg: 207.16 / Max: 207.4 Min: 191.37 / Avg: 192.65 / Max: 193.92 Min: 144.04 / Avg: 144.84 / Max: 145.31 Min: 113.59 / Avg: 114.07 / Max: 114.66 Min: 107.13 / Avg: 107.22 / Max: 107.36 Min: 84.5 / Avg: 84.66 / Max: 84.76 Min: 72.99 / Avg: 73.6 / Max: 74.1 Min: 67.94 / Avg: 69.33 / Max: 70.39 Min: 61.3 / Avg: 61.39 / Max: 61.55 Min: 61.67 / Avg: 62.29 / Max: 63.01 Min: 64.63 / Avg: 64.81 / Max: 65.01 Min: 58.35 / Avg: 58.77 / Max: 59.06 Min: 47.25 / Avg: 47.77 / Max: 48.37 Min: 48.17 / Avg: 48.27 / Max: 48.39 Min: 41.96 / Avg: 42.02 / Max: 42.09 Min: 41.46 / Avg: 41.73 / Max: 41.91 Min: 164.92 / Avg: 165.25 / Max: 165.65 Min: 88.14 / Avg: 88.35 / Max: 88.6 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 6 12 18 24 30 SE +/- 0.015, N = 3 SE +/- 0.052, N = 9 SE +/- 0.016, N = 3 SE +/- 0.053, N = 3 SE +/- 0.053, N = 3 SE +/- 0.032, N = 3 SE +/- 0.055, N = 3 SE +/- 0.009, N = 3 SE +/- 0.073, N = 3 SE +/- 0.057, N = 3 SE +/- 0.038, N = 3 SE +/- 0.007, N = 3 SE +/- 0.046, N = 3 SE +/- 0.054, N = 3 SE +/- 0.047, N = 3 SE +/- 0.022, N = 3 SE +/- 0.164, N = 3 SE +/- 0.065, N = 3 SE +/- 0.005, N = 3 SE +/- 0.028, N = 3 5.214 4.895 5.762 7.459 9.441 10.431 13.040 14.700 16.078 17.261 17.307 17.343 17.943 22.000 22.299 25.007 24.188 5.531 12.242 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 6 12 18 24 30 Min: 5.18 / Avg: 5.21 / Max: 5.23 Min: 4.57 / Avg: 4.9 / Max: 5.06 Min: 5.73 / Avg: 5.76 / Max: 5.78 Min: 7.4 / Avg: 7.46 / Max: 7.56 Min: 9.35 / Avg: 9.44 / Max: 9.54 Min: 10.37 / Avg: 10.43 / Max: 10.48 Min: 12.93 / Avg: 13.04 / Max: 13.11 Min: 14.68 / Avg: 14.7 / Max: 14.72 Min: 15.98 / Avg: 16.08 / Max: 16.22 Min: 17.15 / Avg: 17.26 / Max: 17.33 Min: 17.26 / Avg: 17.31 / Max: 17.38 Min: 17.33 / Avg: 17.34 / Max: 17.36 Min: 17.88 / Avg: 17.94 / Max: 18.03 Min: 21.93 / Avg: 22 / Max: 22.11 Min: 22.22 / Avg: 22.3 / Max: 22.38 Min: 24.97 / Avg: 25.01 / Max: 25.05 Min: 23.87 / Avg: 24.19 / Max: 24.41 Min: 5.43 / Avg: 5.53 / Max: 5.65 Min: 12.23 / Avg: 12.24 / Max: 12.25 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 50 100 150 200 250 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.17, N = 3 SE +/- 0.10, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.09, N = 3 SE +/- 0.09, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.26, N = 3 SE +/- 0.10, N = 3 SE +/- 0.27, N = 3 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 SE +/- 0.06, N = 3 48.61 47.79 50.44 68.59 83.37 90.31 114.47 134.24 152.48 167.97 168.05 162.20 182.84 218.50 219.29 243.21 243.77 58.90 108.28 149.44
Result Confidence
OpenBenchmarking.org mrays/s, More Is Better rays1bench 2020-01-09 Large Scene EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 40 80 120 160 200 Min: 48.59 / Avg: 48.61 / Max: 48.62 Min: 47.7 / Avg: 47.79 / Max: 47.88 Min: 50.41 / Avg: 50.44 / Max: 50.48 Min: 68.53 / Avg: 68.59 / Max: 68.63 Min: 83.02 / Avg: 83.37 / Max: 83.54 Min: 90.19 / Avg: 90.31 / Max: 90.51 Min: 114.38 / Avg: 114.47 / Max: 114.53 Min: 134.14 / Avg: 134.24 / Max: 134.33 Min: 152.45 / Avg: 152.48 / Max: 152.51 Min: 167.81 / Avg: 167.97 / Max: 168.11 Min: 167.87 / Avg: 168.05 / Max: 168.17 Min: 162.12 / Avg: 162.2 / Max: 162.29 Min: 182.76 / Avg: 182.84 / Max: 182.93 Min: 218.04 / Avg: 218.5 / Max: 218.94 Min: 219.13 / Avg: 219.29 / Max: 219.46 Min: 242.78 / Avg: 243.21 / Max: 243.72 Min: 243.6 / Avg: 243.77 / Max: 243.91 Min: 58.86 / Avg: 58.9 / Max: 58.95 Min: 108.18 / Avg: 108.28 / Max: 108.44 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 160K 320K 480K 640K 800K SE +/- 390.58, N = 3 SE +/- 242.40, N = 3 SE +/- 281.99, N = 3 SE +/- 190.54, N = 3 SE +/- 371.28, N = 3 SE +/- 458.18, N = 3 SE +/- 964.32, N = 3 SE +/- 148.41, N = 3 SE +/- 1819.29, N = 3 SE +/- 3314.57, N = 3 SE +/- 1272.74, N = 3 SE +/- 1360.81, N = 3 SE +/- 1853.99, N = 3 SE +/- 1753.24, N = 3 SE +/- 1866.98, N = 3 SE +/- 11534.89, N = 3 SE +/- 11784.18, N = 3 SE +/- 763.33, N = 3 SE +/- 595.69, N = 3 SE +/- 744.17, N = 3 144558 152685 158358 226615 285548 311207 381123 437752 474244 513483 514016 489956 550558 642567 649201 731736 725672 178724 337875 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 130K 260K 390K 520K 650K Min: 144006.14 / Avg: 144558.41 / Max: 145312.98 Min: 152214.65 / Avg: 152685.35 / Max: 153021.23 Min: 157829.21 / Avg: 158358.26 / Max: 158791.99 Min: 226256.52 / Avg: 226615.41 / Max: 226905.81 Min: 285054.9 / Avg: 285547.86 / Max: 286275.27 Min: 310297.61 / Avg: 311206.78 / Max: 311760.54 Min: 379914.86 / Avg: 381122.97 / Max: 383028.99 Min: 437599.54 / Avg: 437751.6 / Max: 438048.38 Min: 471317.66 / Avg: 474244.13 / Max: 477579.87 Min: 506902.52 / Avg: 513483.29 / Max: 517465.87 Min: 511766.55 / Avg: 514016.17 / Max: 516172.49 Min: 487238.87 / Avg: 489955.82 / Max: 491452.38 Min: 546858.3 / Avg: 550558.13 / Max: 552620.87 Min: 639083.37 / Avg: 642567.28 / Max: 644653.15 Min: 646151.18 / Avg: 649201.35 / Max: 652591.71 Min: 715925.22 / Avg: 731736.03 / Max: 754190.49 Min: 702987.15 / Avg: 725671.92 / Max: 742550.71 Min: 177208.31 / Avg: 178724.19 / Max: 179639.08 Min: 337174.62 / Avg: 337874.52 / Max: 339059.42 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 0.3893 0.7786 1.1679 1.5572 1.9465 SE +/- 0.005, N = 3 SE +/- 0.002, N = 3 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.000, N = 3 SE +/- 0.002, N = 3 SE +/- 0.003, 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 +/- 0.005, N = 3 SE +/- 0.006, N = 3 SE +/- 0.006, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 1.730 1.638 1.580 1.104 0.876 0.804 0.657 0.572 0.528 0.488 0.487 0.511 0.455 0.390 0.386 0.343 0.346 1.400 0.741 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 2 4 6 8 10 Min: 1.72 / Avg: 1.73 / Max: 1.74 Min: 1.64 / Avg: 1.64 / Max: 1.64 Min: 1.58 / Avg: 1.58 / Max: 1.59 Min: 1.1 / Avg: 1.1 / Max: 1.11 Min: 0.87 / Avg: 0.88 / Max: 0.88 Min: 0.8 / Avg: 0.8 / Max: 0.81 Min: 0.65 / Avg: 0.66 / Max: 0.66 Min: 0.57 / Avg: 0.57 / Max: 0.57 Min: 0.52 / Avg: 0.53 / Max: 0.53 Min: 0.48 / Avg: 0.49 / Max: 0.49 Min: 0.49 / Avg: 0.49 / Max: 0.49 Min: 0.51 / Avg: 0.51 / Max: 0.51 Min: 0.45 / Avg: 0.46 / Max: 0.46 Min: 0.39 / Avg: 0.39 / Max: 0.39 Min: 0.38 / Avg: 0.39 / Max: 0.39 Min: 0.33 / Avg: 0.34 / Max: 0.35 Min: 0.34 / Avg: 0.35 / Max: 0.36 Min: 1.39 / Avg: 1.4 / Max: 1.41 Min: 0.74 / Avg: 0.74 / Max: 0.74 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 14 28 42 56 70 SE +/- 0.09, N = 3 SE +/- 0.29, N = 3 SE +/- 0.16, N = 3 SE +/- 0.10, N = 3 SE +/- 0.05, N = 3 SE +/- 0.14, N = 3 SE +/- 0.08, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.11, N = 3 SE +/- 0.06, N = 3 SE +/- 0.09, N = 3 60.37 61.51 57.60 41.65 33.03 31.05 25.35 22.14 19.91 18.51 18.44 19.09 17.04 14.19 14.11 12.21 12.26 50.03 26.27 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 12 24 36 48 60 Min: 60.21 / Avg: 60.37 / Max: 60.52 Min: 60.97 / Avg: 61.51 / Max: 61.97 Min: 57.29 / Avg: 57.6 / Max: 57.82 Min: 41.44 / Avg: 41.65 / Max: 41.77 Min: 32.97 / Avg: 33.03 / Max: 33.13 Min: 30.9 / Avg: 31.05 / Max: 31.33 Min: 25.21 / Avg: 25.35 / Max: 25.51 Min: 22.06 / Avg: 22.14 / Max: 22.21 Min: 19.82 / Avg: 19.91 / Max: 20 Min: 18.47 / Avg: 18.51 / Max: 18.57 Min: 18.3 / Avg: 18.44 / Max: 18.53 Min: 19 / Avg: 19.09 / Max: 19.15 Min: 16.94 / Avg: 17.04 / Max: 17.13 Min: 14.15 / Avg: 14.19 / Max: 14.22 Min: 14.01 / Avg: 14.11 / Max: 14.21 Min: 12.18 / Avg: 12.21 / Max: 12.28 Min: 12.22 / Avg: 12.26 / Max: 12.29 Min: 49.81 / Avg: 50.03 / Max: 50.16 Min: 26.18 / Avg: 26.27 / Max: 26.37 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 200K 400K 600K 800K 1000K SE +/- 87.29, N = 3 SE +/- 444.88, N = 3 SE +/- 874.00, N = 3 SE +/- 637.02, N = 3 SE +/- 2227.34, N = 3 SE +/- 1217.31, N = 3 SE +/- 884.69, N = 3 SE +/- 1031.24, N = 3 SE +/- 6473.07, N = 3 SE +/- 2586.15, N = 3 SE +/- 2789.75, N = 3 SE +/- 287.53, N = 3 SE +/- 574.88, N = 3 SE +/- 3785.97, N = 3 SE +/- 2622.87, N = 3 SE +/- 1464.36, N = 3 SE +/- 570.05, N = 3 SE +/- 704.81, N = 3 SE +/- 819.25, N = 3 SE +/- 3196.29, N = 3 190060 191561 199119 278801 364836 364724 450148 522618 625180 692827 690889 588980 746431 947547 954573 837443 842042 225099 410284 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 170K 340K 510K 680K 850K Min: 189965.32 / Avg: 190060.47 / Max: 190234.8 Min: 190678.73 / Avg: 191561.09 / Max: 192101.4 Min: 197398.93 / Avg: 199119.18 / Max: 200248.01 Min: 277732.53 / Avg: 278800.91 / Max: 279936.18 Min: 360469.96 / Avg: 364836.23 / Max: 367784.14 Min: 362322.11 / Avg: 364724.07 / Max: 366269.28 Min: 448933.06 / Avg: 450147.68 / Max: 451869.24 Min: 520867.61 / Avg: 522617.98 / Max: 524437.91 Min: 612463.48 / Avg: 625180.49 / Max: 633639.01 Min: 690194.76 / Avg: 692827.15 / Max: 697999.18 Min: 685623.23 / Avg: 690888.85 / Max: 695119.5 Min: 588673.02 / Avg: 588979.95 / Max: 589554.56 Min: 745405.8 / Avg: 746431 / Max: 747394.36 Min: 940111.61 / Avg: 947547.37 / Max: 952503.31 Min: 949330.8 / Avg: 954572.83 / Max: 957364.51 Min: 834514.55 / Avg: 837442.79 / Max: 838952.55 Min: 841070.28 / Avg: 842041.76 / Max: 843044.24 Min: 224328.18 / Avg: 225098.69 / Max: 226506.21 Min: 408978.87 / Avg: 410283.57 / Max: 411794.3 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 0.1186 0.2372 0.3558 0.4744 0.593 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, 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 +/- 0.001, N = 3 0.527 0.522 0.503 0.359 0.274 0.274 0.223 0.192 0.160 0.144 0.145 0.170 0.134 0.106 0.105 0.119 0.119 0.445 0.244 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 2 4 6 8 10 Min: 0.53 / Avg: 0.53 / Max: 0.53 Min: 0.52 / Avg: 0.52 / Max: 0.53 Min: 0.5 / Avg: 0.5 / Max: 0.51 Min: 0.36 / Avg: 0.36 / Max: 0.36 Min: 0.27 / Avg: 0.27 / Max: 0.28 Min: 0.27 / Avg: 0.27 / Max: 0.28 Min: 0.22 / Avg: 0.22 / Max: 0.22 Min: 0.19 / Avg: 0.19 / Max: 0.19 Min: 0.16 / Avg: 0.16 / Max: 0.16 Min: 0.14 / Avg: 0.14 / Max: 0.15 Min: 0.14 / Avg: 0.15 / Max: 0.15 Min: 0.17 / Avg: 0.17 / Max: 0.17 Min: 0.13 / Avg: 0.13 / Max: 0.13 Min: 0.11 / Avg: 0.11 / Max: 0.11 Min: 0.11 / Avg: 0.11 / Max: 0.11 Min: 0.12 / Avg: 0.12 / Max: 0.12 Min: 0.12 / Avg: 0.12 / Max: 0.12 Min: 0.44 / Avg: 0.44 / Max: 0.45 Min: 0.24 / Avg: 0.24 / Max: 0.25 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 6 12 18 24 30 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 SE +/- 0.19, N = 3 SE +/- 0.14, N = 6 SE +/- 0.16, N = 15 SE +/- 0.28, N = 3 SE +/- 0.24, N = 15 SE +/- 0.28, N = 4 SE +/- 0.21, N = 4 SE +/- 0.23, N = 3 SE +/- 0.07, N = 3 SE +/- 0.25, N = 15 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 6.49 5.57 6.06 8.77 11.06 11.54 13.00 14.57 16.83 18.72 19.60 14.91 19.87 24.70 23.66 27.53 27.41 7.66 13.84 18.55
Result Confidence
OpenBenchmarking.org Images / Sec, More Is Better Intel Open Image Denoise 1.2.0 Scene: Memorial EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 6 12 18 24 30 Min: 6.46 / Avg: 6.49 / Max: 6.51 Min: 5.47 / Avg: 5.57 / Max: 5.62 Min: 6.02 / Avg: 6.06 / Max: 6.09 Min: 8.73 / Avg: 8.77 / Max: 8.81 Min: 10.99 / Avg: 11.06 / Max: 11.12 Min: 11.19 / Avg: 11.54 / Max: 11.82 Min: 12.45 / Avg: 13 / Max: 13.55 Min: 13.77 / Avg: 14.57 / Max: 15.9 Min: 16.43 / Avg: 16.83 / Max: 17.36 Min: 16.88 / Avg: 18.72 / Max: 19.81 Min: 18.81 / Avg: 19.6 / Max: 20.07 Min: 14.66 / Avg: 14.91 / Max: 15.55 Min: 19.63 / Avg: 19.87 / Max: 20.32 Min: 24.56 / Avg: 24.7 / Max: 24.8 Min: 22 / Avg: 23.66 / Max: 25.03 Min: 27.42 / Avg: 27.53 / Max: 27.62 Min: 27.34 / Avg: 27.41 / Max: 27.46 Min: 7.63 / Avg: 7.66 / Max: 7.7 Min: 13.83 / Avg: 13.84 / Max: 13.84 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 150K 300K 450K 600K 750K SE +/- 215.85, N = 3 SE +/- 228.56, N = 3 SE +/- 175.33, N = 3 SE +/- 402.38, N = 3 SE +/- 619.63, N = 3 SE +/- 1077.02, N = 3 SE +/- 1409.40, N = 3 SE +/- 144.21, N = 3 SE +/- 724.69, N = 3 SE +/- 1331.68, N = 3 SE +/- 1730.67, N = 3 SE +/- 1195.56, N = 3 SE +/- 2717.04, N = 3 SE +/- 1356.41, N = 3 SE +/- 3817.77, N = 3 SE +/- 7809.46, N = 3 SE +/- 7702.49, N = 6 SE +/- 247.67, N = 3 SE +/- 555.77, N = 3 SE +/- 1014.57, N = 3 138357 146025 151111 216661 271729 296331 362848 417043 450377 484567 485489 465233 517604 598734 593198 680891 671452 169435 319683 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 120K 240K 360K 480K 600K Min: 137940.02 / Avg: 138357.37 / Max: 138661.61 Min: 145741.05 / Avg: 146025.04 / Max: 146477.26 Min: 150760.55 / Avg: 151110.81 / Max: 151300.29 Min: 215859.43 / Avg: 216661.44 / Max: 217120.02 Min: 270504.51 / Avg: 271728.67 / Max: 272507.76 Min: 294542.54 / Avg: 296331.36 / Max: 298265.02 Min: 360029.39 / Avg: 362848.08 / Max: 364277.87 Min: 416754.87 / Avg: 417043.13 / Max: 417195.63 Min: 449445.05 / Avg: 450376.81 / Max: 451804.14 Min: 482176.8 / Avg: 484566.79 / Max: 486779.65 Min: 482047.03 / Avg: 485488.6 / Max: 487529.28 Min: 462949.41 / Avg: 465233.32 / Max: 466988.38 Min: 513346.16 / Avg: 517604.43 / Max: 522657.15 Min: 596198.71 / Avg: 598733.94 / Max: 600837.62 Min: 588437.25 / Avg: 593198.23 / Max: 600748.42 Min: 668077.17 / Avg: 680891.1 / Max: 695032.12 Min: 641670.74 / Avg: 671451.59 / Max: 692136.61 Min: 168939.25 / Avg: 169434.57 / Max: 169687.21 Min: 319110.96 / Avg: 319682.59 / Max: 320793.98 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 0.4068 0.8136 1.2204 1.6272 2.034 SE +/- 0.003, N = 3 SE +/- 0.003, N = 3 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 SE +/- 0.003, N = 3 SE +/- 0.003, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 SE +/- 0.004, N = 3 SE +/- 0.004, N = 6 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 1.808 1.713 1.655 1.155 0.921 0.844 0.690 0.600 0.556 0.517 0.516 0.538 0.484 0.418 0.422 0.368 0.374 1.476 0.783 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 2 4 6 8 10 Min: 1.8 / Avg: 1.81 / Max: 1.81 Min: 1.71 / Avg: 1.71 / Max: 1.72 Min: 1.65 / Avg: 1.66 / Max: 1.66 Min: 1.15 / Avg: 1.15 / Max: 1.16 Min: 0.92 / Avg: 0.92 / Max: 0.93 Min: 0.84 / Avg: 0.84 / Max: 0.85 Min: 0.69 / Avg: 0.69 / Max: 0.7 Min: 0.6 / Avg: 0.6 / Max: 0.6 Min: 0.55 / Avg: 0.56 / Max: 0.56 Min: 0.52 / Avg: 0.52 / Max: 0.52 Min: 0.51 / Avg: 0.52 / Max: 0.52 Min: 0.54 / Avg: 0.54 / Max: 0.54 Min: 0.48 / Avg: 0.48 / Max: 0.49 Min: 0.42 / Avg: 0.42 / Max: 0.42 Min: 0.42 / Avg: 0.42 / Max: 0.43 Min: 0.36 / Avg: 0.37 / Max: 0.38 Min: 0.36 / Avg: 0.37 / Max: 0.39 Min: 1.47 / Avg: 1.48 / Max: 1.48 Min: 0.78 / Avg: 0.78 / Max: 0.78 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 160K 320K 480K 640K 800K SE +/- 254.87, N = 3 SE +/- 205.85, N = 3 SE +/- 305.74, N = 3 SE +/- 329.91, N = 3 SE +/- 966.61, N = 3 SE +/- 389.05, N = 3 SE +/- 1232.15, N = 3 SE +/- 1670.95, N = 3 SE +/- 470.31, N = 3 SE +/- 177.44, N = 3 SE +/- 1887.75, N = 3 SE +/- 111.05, N = 3 SE +/- 546.50, N = 3 SE +/- 2221.89, N = 3 SE +/- 1797.71, N = 3 SE +/- 827.25, N = 3 SE +/- 4530.06, N = 3 SE +/- 241.14, N = 3 SE +/- 683.10, N = 3 SE +/- 969.08, N = 3 153957 156630 158436 228748 282418 298191 358726 407055 455775 495910 492677 466511 531391 649224 663004 743304 727901 177920 315464 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 130K 260K 390K 520K 650K Min: 153447.84 / Avg: 153956.74 / Max: 154236.45 Min: 156252.68 / Avg: 156629.93 / Max: 156961.35 Min: 157865.28 / Avg: 158436.38 / Max: 158911.19 Min: 228141.19 / Avg: 228748.21 / Max: 229275.69 Min: 281209.04 / Avg: 282418.32 / Max: 284329.18 Min: 297431.92 / Avg: 298190.97 / Max: 298718.73 Min: 356400.28 / Avg: 358726.15 / Max: 360594.31 Min: 403723.1 / Avg: 407054.86 / Max: 408946.14 Min: 454920.9 / Avg: 455775.26 / Max: 456543.22 Min: 495717.03 / Avg: 495910.37 / Max: 496264.76 Min: 490194.35 / Avg: 492676.87 / Max: 496381.59 Min: 466312.01 / Avg: 466511.04 / Max: 466695.91 Min: 530679.58 / Avg: 531390.67 / Max: 532465.07 Min: 645401.97 / Avg: 649223.99 / Max: 653098.28 Min: 659437.26 / Avg: 663004.17 / Max: 665178.95 Min: 742300.99 / Avg: 743304.49 / Max: 744945.44 Min: 720293.42 / Avg: 727901.14 / Max: 735966.03 Min: 177454.45 / Avg: 177919.83 / Max: 178262.11 Min: 314189.87 / Avg: 315463.89 / Max: 316528.12 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 0.7793 1.5586 2.3379 3.1172 3.8965 SE +/- 0.004002, N = 3 SE +/- 0.016593, N = 3 SE +/- 0.006361, N = 3 SE +/- 0.007608, N = 3 SE +/- 0.004830, N = 3 SE +/- 0.001101, N = 3 SE +/- 0.004607, N = 3 SE +/- 0.003515, N = 3 SE +/- 0.003046, N = 3 SE +/- 0.002388, N = 3 SE +/- 0.001858, N = 3 SE +/- 0.002118, N = 3 SE +/- 0.001175, N = 3 SE +/- 0.002251, N = 3 SE +/- 0.001383, N = 3 SE +/- 0.001863, N = 3 SE +/- 0.000923, N = 3 SE +/- 0.009985, N = 3 SE +/- 0.000682, N = 3 SE +/- 0.002303, N = 3 3.214030 3.463720 3.068100 2.349540 1.755500 1.610260 1.417550 1.153190 1.044080 0.988117 0.964679 1.070150 0.904213 0.806585 0.787011 0.719245 0.808188 2.771650 1.411110 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 2 4 6 8 10 Min: 3.21 / Avg: 3.21 / Max: 3.22 Min: 3.43 / Avg: 3.46 / Max: 3.49 Min: 3.06 / Avg: 3.07 / Max: 3.08 Min: 2.34 / Avg: 2.35 / Max: 2.36 Min: 1.75 / Avg: 1.76 / Max: 1.76 Min: 1.61 / Avg: 1.61 / Max: 1.61 Min: 1.41 / Avg: 1.42 / Max: 1.43 Min: 1.15 / Avg: 1.15 / Max: 1.16 Min: 1.04 / Avg: 1.04 / Max: 1.05 Min: 0.99 / Avg: 0.99 / Max: 0.99 Min: 0.96 / Avg: 0.96 / Max: 0.97 Min: 1.07 / Avg: 1.07 / Max: 1.07 Min: 0.9 / Avg: 0.9 / Max: 0.91 Min: 0.8 / Avg: 0.81 / Max: 0.81 Min: 0.79 / Avg: 0.79 / Max: 0.79 Min: 0.72 / Avg: 0.72 / Max: 0.72 Min: 0.81 / Avg: 0.81 / Max: 0.81 Min: 2.75 / Avg: 2.77 / Max: 2.78 Min: 1.41 / Avg: 1.41 / Max: 1.41 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 0.1463 0.2926 0.4389 0.5852 0.7315 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 0.650 0.639 0.632 0.438 0.354 0.336 0.279 0.246 0.220 0.202 0.203 0.215 0.189 0.154 0.151 0.135 0.138 0.562 0.317 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 2 4 6 8 10 Min: 0.65 / Avg: 0.65 / Max: 0.65 Min: 0.64 / Avg: 0.64 / Max: 0.64 Min: 0.63 / Avg: 0.63 / Max: 0.63 Min: 0.44 / Avg: 0.44 / Max: 0.44 Min: 0.35 / Avg: 0.35 / Max: 0.36 Min: 0.34 / Avg: 0.34 / Max: 0.34 Min: 0.28 / Avg: 0.28 / Max: 0.28 Min: 0.25 / Avg: 0.25 / Max: 0.25 Min: 0.22 / Avg: 0.22 / Max: 0.22 Min: 0.2 / Avg: 0.2 / Max: 0.2 Min: 0.2 / Avg: 0.2 / Max: 0.2 Min: 0.22 / Avg: 0.22 / Max: 0.22 Min: 0.19 / Avg: 0.19 / Max: 0.19 Min: 0.15 / Avg: 0.15 / Max: 0.16 Min: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.13 / Avg: 0.13 / Max: 0.14 Min: 0.14 / Avg: 0.14 / Max: 0.14 Min: 0.56 / Avg: 0.56 / Max: 0.56 Min: 0.32 / Avg: 0.32 / Max: 0.32 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 2 4 6 8 10 SE +/- 0.01674, N = 3 SE +/- 0.01899, N = 3 SE +/- 0.00392, N = 3 SE +/- 0.00826, N = 3 SE +/- 0.00325, N = 3 SE +/- 0.00937, N = 3 SE +/- 0.02965, N = 3 SE +/- 0.04018, N = 3 SE +/- 0.01238, N = 3 SE +/- 0.00981, N = 3 SE +/- 0.00223, N = 3 SE +/- 0.00968, N = 3 SE +/- 0.00585, N = 3 SE +/- 0.01046, N = 3 SE +/- 0.00727, N = 3 SE +/- 0.00706, N = 3 SE +/- 0.00129, N = 3 SE +/- 0.03536, N = 3 SE +/- 0.00475, N = 3 SE +/- 0.00420, N = 3 6.80051 7.00609 6.33812 4.75589 3.41483 3.43344 2.81942 2.45058 2.14353 2.02097 2.00515 2.07830 1.89790 1.57190 1.55827 1.45860 1.57850 5.76680 2.85775 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 3 6 9 12 15 Min: 6.77 / Avg: 6.8 / Max: 6.83 Min: 6.98 / Avg: 7.01 / Max: 7.04 Min: 6.33 / Avg: 6.34 / Max: 6.34 Min: 4.74 / Avg: 4.76 / Max: 4.77 Min: 3.41 / Avg: 3.41 / Max: 3.42 Min: 3.42 / Avg: 3.43 / Max: 3.45 Min: 2.76 / Avg: 2.82 / Max: 2.85 Min: 2.37 / Avg: 2.45 / Max: 2.51 Min: 2.13 / Avg: 2.14 / Max: 2.17 Min: 2 / Avg: 2.02 / Max: 2.04 Min: 2 / Avg: 2.01 / Max: 2.01 Min: 2.06 / Avg: 2.08 / Max: 2.09 Min: 1.89 / Avg: 1.9 / Max: 1.91 Min: 1.56 / Avg: 1.57 / Max: 1.59 Min: 1.55 / Avg: 1.56 / Max: 1.57 Min: 1.45 / Avg: 1.46 / Max: 1.47 Min: 1.58 / Avg: 1.58 / Max: 1.58 Min: 5.71 / Avg: 5.77 / Max: 5.83 Min: 2.85 / Avg: 2.86 / Max: 2.87 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 150K 300K 450K 600K 750K SE +/- 116.38, N = 3 SE +/- 282.55, N = 3 SE +/- 122.43, N = 3 SE +/- 317.07, N = 3 SE +/- 237.11, N = 3 SE +/- 221.72, N = 3 SE +/- 647.23, N = 3 SE +/- 1253.21, N = 3 SE +/- 481.91, N = 3 SE +/- 1456.20, N = 3 SE +/- 484.01, N = 3 SE +/- 534.92, N = 3 SE +/- 1742.02, N = 3 SE +/- 2561.67, N = 3 SE +/- 4128.12, N = 3 SE +/- 1979.45, N = 3 SE +/- 3649.95, N = 3 SE +/- 440.23, N = 3 SE +/- 578.92, N = 3 SE +/- 269.40, N = 3 147105 149308 150221 219503 272783 283951 345271 392376 438754 473444 475214 445001 506125 623171 631040 703406 683975 169323 299776 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 120K 240K 360K 480K 600K Min: 146879.97 / Avg: 147104.64 / Max: 147269.66 Min: 148785.99 / Avg: 149307.5 / Max: 149756.72 Min: 150063.06 / Avg: 150220.92 / Max: 150461.96 Min: 219004.1 / Avg: 219503.27 / Max: 220091.57 Min: 272354.55 / Avg: 272782.71 / Max: 273173.35 Min: 283511.64 / Avg: 283950.66 / Max: 284224.23 Min: 344389.34 / Avg: 345271.42 / Max: 346532.94 Min: 390015.68 / Avg: 392375.76 / Max: 394286.62 Min: 437804.64 / Avg: 438753.97 / Max: 439372.84 Min: 471852.79 / Avg: 473444.33 / Max: 476352.39 Min: 474343.21 / Avg: 475213.99 / Max: 476015.6 Min: 444155.82 / Avg: 445000.55 / Max: 445991.47 Min: 502686.88 / Avg: 506124.8 / Max: 508333.05 Min: 618057.73 / Avg: 623171.49 / Max: 625999.8 Min: 623626.35 / Avg: 631039.66 / Max: 637893.74 Min: 700059.48 / Avg: 703406.49 / Max: 706911.07 Min: 677575.99 / Avg: 683975.18 / Max: 690216.83 Min: 168770.72 / Avg: 169322.65 / Max: 170192.71 Min: 298700.71 / Avg: 299775.71 / Max: 300685.69 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 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 +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 0.680 0.670 0.666 0.456 0.367 0.352 0.290 0.255 0.228 0.211 0.211 0.225 0.198 0.161 0.159 0.143 0.146 0.591 0.334 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 2 4 6 8 10 Min: 0.68 / Avg: 0.68 / Max: 0.68 Min: 0.67 / Avg: 0.67 / Max: 0.67 Min: 0.67 / Avg: 0.67 / Max: 0.67 Min: 0.46 / Avg: 0.46 / Max: 0.46 Min: 0.37 / Avg: 0.37 / Max: 0.37 Min: 0.35 / Avg: 0.35 / Max: 0.35 Min: 0.29 / Avg: 0.29 / Max: 0.29 Min: 0.25 / Avg: 0.26 / Max: 0.26 Min: 0.23 / Avg: 0.23 / Max: 0.23 Min: 0.21 / Avg: 0.21 / Max: 0.21 Min: 0.21 / Avg: 0.21 / Max: 0.21 Min: 0.23 / Avg: 0.23 / Max: 0.23 Min: 0.2 / Avg: 0.2 / Max: 0.2 Min: 0.16 / Avg: 0.16 / Max: 0.16 Min: 0.16 / Avg: 0.16 / Max: 0.16 Min: 0.14 / Avg: 0.14 / Max: 0.14 Min: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.59 / Avg: 0.59 / Max: 0.59 Min: 0.33 / Avg: 0.33 / Max: 0.34 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 40K 80K 120K 160K 200K SE +/- 17.29, N = 3 SE +/- 384.36, N = 3 SE +/- 319.47, N = 3 SE +/- 28.32, N = 3 SE +/- 28.02, N = 3 SE +/- 74.39, N = 3 SE +/- 79.13, N = 3 SE +/- 233.89, N = 3 SE +/- 122.28, N = 3 SE +/- 62.14, N = 3 SE +/- 22.72, N = 3 SE +/- 133.33, N = 3 SE +/- 23.48, N = 3 SE +/- 35.66, N = 3 SE +/- 94.61, N = 3 SE +/- 64.61, N = 3 SE +/- 138.57, N = 3 SE +/- 145.83, N = 3 SE +/- 89.89, N = 3 SE +/- 76.57, N = 3 161011.0 171635.0 160652.0 120293.0 84104.2 80410.4 75486.4 62532.0 51004.7 47132.4 47163.9 50965.7 44046.0 50064.0 47246.1 37901.1 46464.0 139149.0 68647.0 59952.8
Result Confidence
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Mobilenet Float EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 30K 60K 90K 120K 150K Min: 160990 / Avg: 161010.67 / Max: 161045 Min: 170868 / Avg: 171635 / Max: 172063 Min: 160061 / Avg: 160651.67 / Max: 161158 Min: 120245 / Avg: 120292.67 / Max: 120343 Min: 84048.5 / Avg: 84104.23 / Max: 84137.2 Min: 80332.6 / Avg: 80410.37 / Max: 80559.1 Min: 75371.5 / Avg: 75486.4 / Max: 75638.1 Min: 62071.6 / Avg: 62532.03 / Max: 62833.8 Min: 50760.8 / Avg: 51004.7 / Max: 51142.1 Min: 47008.3 / Avg: 47132.37 / Max: 47200.6 Min: 47120.1 / Avg: 47163.93 / Max: 47196.2 Min: 50767.5 / Avg: 50965.7 / Max: 51219.3 Min: 44006.7 / Avg: 44046 / Max: 44087.9 Min: 49993.7 / Avg: 50063.97 / Max: 50109.7 Min: 47060.9 / Avg: 47246.07 / Max: 47372.4 Min: 37813.3 / Avg: 37901.1 / Max: 38027.1 Min: 46220.9 / Avg: 46464.03 / Max: 46700.8 Min: 138882 / Avg: 139149.33 / Max: 139384 Min: 68468.5 / Avg: 68647 / Max: 68754.8 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 40K 80K 120K 160K 200K SE +/- 28.35, N = 3 SE +/- 126.18, N = 3 SE +/- 331.41, N = 3 SE +/- 51.29, N = 3 SE +/- 105.24, N = 3 SE +/- 98.40, N = 3 SE +/- 93.48, N = 3 SE +/- 246.17, N = 3 SE +/- 134.69, N = 3 SE +/- 5.65, N = 3 SE +/- 40.64, N = 3 SE +/- 121.23, N = 3 SE +/- 125.75, N = 3 SE +/- 55.04, N = 3 SE +/- 76.67, N = 3 SE +/- 56.13, N = 3 SE +/- 139.32, N = 3 SE +/- 82.35, N = 3 SE +/- 125.94, N = 3 SE +/- 124.60, N = 3 164541.0 174503.0 163904.0 122845.0 85334.2 82153.3 76578.7 63770.3 51794.5 47944.5 47938.6 51690.4 44940.0 51905.1 48548.3 38559.7 48294.1 141836.0 69915.6 60900.5
Result Confidence
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Mobilenet Quant EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 30K 60K 90K 120K 150K Min: 164487 / Avg: 164541 / Max: 164583 Min: 174332 / Avg: 174502.67 / Max: 174749 Min: 163345 / Avg: 163904.33 / Max: 164492 Min: 122779 / Avg: 122845 / Max: 122946 Min: 85157.5 / Avg: 85334.2 / Max: 85521.6 Min: 82040.7 / Avg: 82153.33 / Max: 82349.4 Min: 76447.6 / Avg: 76578.73 / Max: 76759.7 Min: 63346.4 / Avg: 63770.3 / Max: 64199.1 Min: 51558.9 / Avg: 51794.53 / Max: 52025.4 Min: 47933.7 / Avg: 47944.47 / Max: 47952.8 Min: 47857.4 / Avg: 47938.63 / Max: 47981.5 Min: 51472.8 / Avg: 51690.43 / Max: 51891.8 Min: 44691.4 / Avg: 44939.97 / Max: 45097.4 Min: 51828.7 / Avg: 51905.07 / Max: 52011.9 Min: 48399.1 / Avg: 48548.33 / Max: 48653.5 Min: 38450.4 / Avg: 38559.7 / Max: 38636.5 Min: 48081.2 / Avg: 48294.07 / Max: 48556.2 Min: 141751 / Avg: 141836.33 / Max: 142001 Min: 69746.7 / Avg: 69915.63 / Max: 70161.9 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 3 6 9 12 15 SE +/- 0.17338, N = 15 SE +/- 0.05418, N = 3 SE +/- 0.01574, N = 3 SE +/- 0.10311, N = 3 SE +/- 0.07609, N = 12 SE +/- 0.05093, N = 3 SE +/- 0.03719, N = 3 SE +/- 0.04603, N = 5 SE +/- 0.03440, N = 3 SE +/- 0.04392, N = 3 SE +/- 0.02092, N = 3 SE +/- 0.02822, N = 3 SE +/- 0.00944, N = 3 SE +/- 0.00832, N = 3 SE +/- 0.02643, N = 3 SE +/- 0.00212, N = 3 SE +/- 0.04321, N = 3 SE +/- 0.03437, N = 3 SE +/- 0.01291, N = 3 SE +/- 0.00248, N = 3 10.59006 8.64768 7.92355 6.96020 5.73573 5.29105 4.24031 3.73096 3.76741 3.88586 3.69676 3.80272 3.54460 2.53147 2.38303 2.38156 2.89609 6.98497 4.02047 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 3 6 9 12 15 Min: 9.83 / Avg: 10.59 / Max: 12.11 Min: 8.57 / Avg: 8.65 / Max: 8.75 Min: 7.9 / Avg: 7.92 / Max: 7.95 Min: 6.79 / Avg: 6.96 / Max: 7.14 Min: 5.47 / Avg: 5.74 / Max: 6.46 Min: 5.21 / Avg: 5.29 / Max: 5.38 Min: 4.18 / Avg: 4.24 / Max: 4.3 Min: 3.57 / Avg: 3.73 / Max: 3.85 Min: 3.72 / Avg: 3.77 / Max: 3.83 Min: 3.82 / Avg: 3.89 / Max: 3.97 Min: 3.67 / Avg: 3.7 / Max: 3.74 Min: 3.77 / Avg: 3.8 / Max: 3.86 Min: 3.53 / Avg: 3.54 / Max: 3.56 Min: 2.52 / Avg: 2.53 / Max: 2.55 Min: 2.35 / Avg: 2.38 / Max: 2.44 Min: 2.38 / Avg: 2.38 / Max: 2.39 Min: 2.83 / Avg: 2.9 / Max: 2.97 Min: 6.94 / Avg: 6.98 / Max: 7.05 Min: 4 / Avg: 4.02 / Max: 4.04 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 140K 280K 420K 560K 700K SE +/- 286.53, N = 3 SE +/- 336.86, N = 3 SE +/- 249.03, N = 3 SE +/- 398.28, N = 3 SE +/- 860.38, N = 3 SE +/- 210.97, N = 3 SE +/- 4015.34, N = 3 SE +/- 1172.74, N = 3 SE +/- 1307.57, N = 3 SE +/- 167.60, N = 3 SE +/- 1326.84, N = 3 SE +/- 4360.78, N = 3 SE +/- 855.42, N = 3 SE +/- 538.07, N = 3 SE +/- 1013.03, N = 3 SE +/- 612.15, N = 3 SE +/- 1659.83, N = 3 SE +/- 410.57, N = 3 SE +/- 760.44, N = 3 SE +/- 1376.11, N = 3 145057 144134 142856 204685 263984 270875 356698 398910 433630 454418 452444 454581 480664 536335 562236 633598 607575 161102 294909 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 110K 220K 330K 440K 550K Min: 144518.75 / Avg: 145057.16 / Max: 145496.32 Min: 143572.54 / Avg: 144133.83 / Max: 144737.19 Min: 142388.22 / Avg: 142856.38 / Max: 143237.67 Min: 204217.79 / Avg: 204684.58 / Max: 205476.96 Min: 262374.62 / Avg: 263983.97 / Max: 265316.13 Min: 270580.77 / Avg: 270875.21 / Max: 271284.17 Min: 348813.87 / Avg: 356697.84 / Max: 361963.13 Min: 396826.2 / Avg: 398910.04 / Max: 400884.24 Min: 431757.16 / Avg: 433629.6 / Max: 436146.86 Min: 454144.33 / Avg: 454417.73 / Max: 454722.38 Min: 450197.59 / Avg: 452444.24 / Max: 454790.64 Min: 445915.12 / Avg: 454581.17 / Max: 459765.01 Min: 478981.64 / Avg: 480664.49 / Max: 481772.8 Min: 535427.04 / Avg: 536334.68 / Max: 537289.19 Min: 560347.38 / Avg: 562236.39 / Max: 563815.25 Min: 632438.66 / Avg: 633598.25 / Max: 634518.17 Min: 604567.98 / Avg: 607575.16 / Max: 610296.44 Min: 160460.54 / Avg: 161102.44 / Max: 161866.88 Min: 294099.18 / Avg: 294908.85 / Max: 296428.63 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 3 6 9 12 15 SE +/- 0.004, N = 3 SE +/- 0.002, N = 3 SE +/- 0.008, N = 3 SE +/- 0.005, N = 3 SE +/- 0.003, N = 3 SE +/- 0.004, N = 3 SE +/- 0.010, N = 3 SE +/- 0.008, N = 3 SE +/- 0.036, N = 3 SE +/- 0.011, N = 3 SE +/- 0.007, N = 3 SE +/- 0.013, N = 3 SE +/- 0.014, N = 3 SE +/- 0.004, N = 3 SE +/- 0.010, N = 3 SE +/- 0.027, N = 3 SE +/- 0.032, N = 3 SE +/- 0.005, N = 3 SE +/- 0.011, N = 3 SE +/- 0.019, N = 3 2.124 2.256 2.343 3.422 4.482 4.589 5.991 6.826 7.641 7.828 8.031 7.549 8.374 8.884 8.690 9.418 9.237 2.578 5.089 7.099
Result Confidence
OpenBenchmarking.org M samples/s, More Is Better IndigoBench 4.0.64 Scene: Supercar EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 3 6 9 12 15 Min: 2.12 / Avg: 2.12 / Max: 2.13 Min: 2.25 / Avg: 2.26 / Max: 2.26 Min: 2.33 / Avg: 2.34 / Max: 2.36 Min: 3.42 / Avg: 3.42 / Max: 3.43 Min: 4.48 / Avg: 4.48 / Max: 4.49 Min: 4.58 / Avg: 4.59 / Max: 4.6 Min: 5.98 / Avg: 5.99 / Max: 6.01 Min: 6.82 / Avg: 6.83 / Max: 6.84 Min: 7.59 / Avg: 7.64 / Max: 7.71 Min: 7.81 / Avg: 7.83 / Max: 7.85 Min: 8.02 / Avg: 8.03 / Max: 8.04 Min: 7.53 / Avg: 7.55 / Max: 7.57 Min: 8.35 / Avg: 8.37 / Max: 8.39 Min: 8.88 / Avg: 8.88 / Max: 8.89 Min: 8.67 / Avg: 8.69 / Max: 8.71 Min: 9.38 / Avg: 9.42 / Max: 9.47 Min: 9.18 / Avg: 9.24 / Max: 9.28 Min: 2.57 / Avg: 2.58 / Max: 2.59 Min: 5.07 / Avg: 5.09 / Max: 5.11 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 0.0788 0.1576 0.2364 0.3152 0.394 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.002, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 0.345 0.347 0.350 0.244 0.190 0.185 0.140 0.125 0.116 0.110 0.111 0.110 0.104 0.093 0.089 0.079 0.082 0.311 0.170 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 1 2 3 4 5 Min: 0.34 / 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: 0.24 / Avg: 0.24 / Max: 0.25 Min: 0.19 / Avg: 0.19 / Max: 0.19 Min: 0.18 / Avg: 0.18 / Max: 0.19 Min: 0.14 / Avg: 0.14 / Max: 0.14 Min: 0.13 / Avg: 0.13 / Max: 0.13 Min: 0.12 / Avg: 0.12 / Max: 0.12 Min: 0.11 / Avg: 0.11 / Max: 0.11 Min: 0.11 / Avg: 0.11 / Max: 0.11 Min: 0.11 / Avg: 0.11 / Max: 0.11 Min: 0.1 / Avg: 0.1 / Max: 0.1 Min: 0.09 / Avg: 0.09 / Max: 0.09 Min: 0.09 / Avg: 0.09 / Max: 0.09 Min: 0.08 / Avg: 0.08 / Max: 0.08 Min: 0.08 / Avg: 0.08 / Max: 0.08 Min: 0.31 / Avg: 0.31 / Max: 0.31 Min: 0.17 / Avg: 0.17 / Max: 0.17 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 50K 100K 150K 200K 250K SE +/- 85.27, N = 3 SE +/- 136.62, N = 3 SE +/- 235.23, N = 3 SE +/- 38.16, N = 3 SE +/- 53.20, N = 3 SE +/- 29.76, N = 3 SE +/- 143.58, N = 3 SE +/- 115.19, N = 3 SE +/- 113.63, N = 3 SE +/- 101.90, N = 3 SE +/- 51.28, N = 3 SE +/- 39.76, N = 3 SE +/- 47.46, N = 3 SE +/- 80.59, N = 3 SE +/- 79.18, N = 3 SE +/- 79.43, N = 3 SE +/- 209.40, N = 3 SE +/- 69.41, N = 3 SE +/- 152.59, N = 3 SE +/- 199.04, N = 3 243111.0 253065.0 239371.0 177799.0 128772.0 124126.0 109217.0 93759.8 81778.7 75772.2 75779.3 82550.0 71361.3 70232.8 66999.3 57128.8 75223.6 207979.0 106967.0 89145.6
Result Confidence
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: SqueezeNet EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 40K 80K 120K 160K 200K Min: 242947 / Avg: 243110.67 / Max: 243234 Min: 252796 / Avg: 253065 / Max: 253241 Min: 239073 / Avg: 239370.67 / Max: 239835 Min: 177735 / Avg: 177799 / Max: 177867 Min: 128683 / Avg: 128772 / Max: 128867 Min: 124076 / Avg: 124126.33 / Max: 124179 Min: 108943 / Avg: 109217.33 / Max: 109428 Min: 93529.5 / Avg: 93759.83 / Max: 93879.1 Min: 81590.6 / Avg: 81778.7 / Max: 81983.2 Min: 75583.9 / Avg: 75772.17 / Max: 75933.9 Min: 75682.8 / Avg: 75779.33 / Max: 75857.6 Min: 82487 / Avg: 82549.97 / Max: 82623.5 Min: 71268.1 / Avg: 71361.3 / Max: 71423.5 Min: 70145.6 / Avg: 70232.8 / Max: 70393.8 Min: 66887.1 / Avg: 66999.33 / Max: 67152.2 Min: 56971.7 / Avg: 57128.77 / Max: 57227.9 Min: 74900.1 / Avg: 75223.6 / Max: 75615.7 Min: 207886 / Avg: 207979.33 / Max: 208115 Min: 106761 / Avg: 106967 / Max: 107265 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 4K 8K 12K 16K 20K SE +/- 36.64, N = 3 SE +/- 8.48, N = 3 SE +/- 9.64, N = 3 SE +/- 113.89, N = 3 SE +/- 6.33, N = 3 SE +/- 33.67, N = 3 SE +/- 150.74, N = 3 SE +/- 24.57, N = 3 SE +/- 30.42, N = 3 SE +/- 28.81, N = 3 SE +/- 36.22, N = 3 SE +/- 175.10, N = 3 SE +/- 27.89, N = 3 SE +/- 130.50, N = 3 SE +/- 99.71, N = 3 SE +/- 99.95, N = 3 SE +/- 20.23, N = 3 SE +/- 49.91, N = 3 SE +/- 53.13, N = 3 SE +/- 1.50, N = 3 4400.48 4485.46 4698.64 6799.13 8104.19 8429.01 11202.38 12003.26 13412.97 14448.04 14442.21 14049.76 15411.07 17296.84 18133.98 19039.37 19463.86 5244.21 9368.26 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 3K 6K 9K 12K 15K Min: 4356.82 / Avg: 4400.48 / Max: 4473.28 Min: 4470.63 / Avg: 4485.46 / Max: 4499.99 Min: 4682.49 / Avg: 4698.64 / Max: 4715.82 Min: 6585.28 / Avg: 6799.13 / Max: 6973.97 Min: 8091.91 / Avg: 8104.19 / Max: 8112.97 Min: 8367.15 / Avg: 8429.01 / Max: 8482.97 Min: 10906.58 / Avg: 11202.38 / Max: 11400.71 Min: 11955.06 / Avg: 12003.26 / Max: 12035.6 Min: 13355.04 / Avg: 13412.97 / Max: 13458.06 Min: 14397.87 / Avg: 14448.04 / Max: 14497.67 Min: 14373.73 / Avg: 14442.21 / Max: 14496.92 Min: 13699.8 / Avg: 14049.76 / Max: 14235.86 Min: 15360.66 / Avg: 15411.07 / Max: 15456.97 Min: 17069.15 / Avg: 17296.84 / Max: 17521.19 Min: 17935.45 / Avg: 18133.98 / Max: 18249.55 Min: 18849.83 / Avg: 19039.37 / Max: 19189.15 Min: 19434.91 / Avg: 19463.86 / Max: 19502.82 Min: 5145.21 / Avg: 5244.21 / Max: 5304.74 Min: 9270.87 / Avg: 9368.26 / Max: 9453.78 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 140K 280K 420K 560K 700K SE +/- 149.15, N = 3 SE +/- 59.09, N = 3 SE +/- 365.30, N = 3 SE +/- 495.78, N = 3 SE +/- 188.91, N = 3 SE +/- 1102.05, N = 3 SE +/- 1476.34, N = 3 SE +/- 737.75, N = 3 SE +/- 2589.99, N = 3 SE +/- 2498.86, N = 3 SE +/- 918.89, N = 3 SE +/- 2525.65, N = 3 SE +/- 4023.11, N = 3 SE +/- 1435.30, N = 3 SE +/- 8591.53, N = 3 SE +/- 3697.32, N = 3 SE +/- 1696.19, N = 3 SE +/- 355.78, N = 3 SE +/- 4054.87, N = 3 SE +/- 3216.95, N = 3 150981 150038 149789 212371 275173 283189 375491 422751 448194 473689 476054 479309 496135 561006 584324 662148 627200 169779 309222 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 110K 220K 330K 440K 550K Min: 150724.14 / Avg: 150981.09 / Max: 151240.8 Min: 149922.88 / Avg: 150037.64 / Max: 150119.45 Min: 149174.95 / Avg: 149789.36 / Max: 150438.91 Min: 211623.16 / Avg: 212371.49 / Max: 213309.04 Min: 274874.9 / Avg: 275173.32 / Max: 275523.21 Min: 281583.18 / Avg: 283188.99 / Max: 285299.4 Min: 373949.43 / Avg: 375491.2 / Max: 378442.89 Min: 421326.32 / Avg: 422751.18 / Max: 423795.51 Min: 443042.26 / Avg: 448194.42 / Max: 451234.84 Min: 468862.37 / Avg: 473688.87 / Max: 477225.34 Min: 474618.02 / Avg: 476053.91 / Max: 477765.2 Min: 475531.25 / Avg: 479308.72 / Max: 484101.72 Min: 488299.95 / Avg: 496135.11 / Max: 501638.24 Min: 558840.46 / Avg: 561005.84 / Max: 563720.58 Min: 567149.65 / Avg: 584324.1 / Max: 593382.73 Min: 655584.32 / Avg: 662147.98 / Max: 668379.25 Min: 625341.73 / Avg: 627200.25 / Max: 630587.26 Min: 169162.65 / Avg: 169778.88 / Max: 170395.1 Min: 301122.23 / Avg: 309222.34 / Max: 313614.47 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 200K 400K 600K 800K 1000K SE +/- 751.04, N = 3 SE +/- 609.77, N = 3 SE +/- 266.25, N = 3 SE +/- 1323.33, N = 3 SE +/- 3586.19, N = 3 SE +/- 412.90, N = 3 SE +/- 1956.29, N = 3 SE +/- 634.95, N = 3 SE +/- 1722.05, N = 3 SE +/- 4110.48, N = 3 SE +/- 2812.71, N = 3 SE +/- 5976.20, N = 3 SE +/- 3763.31, N = 3 SE +/- 774.72, N = 3 SE +/- 4606.47, N = 3 SE +/- 4185.25, N = 3 SE +/- 2327.18, N = 3 SE +/- 760.23, N = 3 SE +/- 5158.94, N = 4 SE +/- 5262.76, N = 3 180148 178695 183458 257573 336368 345027 500818 582296 481548 510664 506342 508910 537605 656678 701580 785917 757534 210214 394967 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 140K 280K 420K 560K 700K Min: 178655.05 / Avg: 180147.65 / Max: 181039.86 Min: 177644.71 / Avg: 178695.44 / Max: 179756.92 Min: 183091.48 / Avg: 183458.35 / Max: 183976.04 Min: 256160.28 / Avg: 257573.06 / Max: 260217.66 Min: 329201.77 / Avg: 336367.81 / Max: 340212.2 Min: 344295.55 / Avg: 345027.02 / Max: 345724.67 Min: 497670.11 / Avg: 500818.18 / Max: 504404.28 Min: 581229 / Avg: 582296.11 / Max: 583425.84 Min: 478206.73 / Avg: 481547.66 / Max: 483942.66 Min: 505127.29 / Avg: 510664.49 / Max: 518695.49 Min: 500795.59 / Avg: 506341.5 / Max: 509930.62 Min: 502276.92 / Avg: 508909.53 / Max: 520836.94 Min: 533339.97 / Avg: 537605.07 / Max: 545108.31 Min: 655132.62 / Avg: 656678.07 / Max: 657547.1 Min: 696000.94 / Avg: 701579.61 / Max: 710718.54 Min: 780235.38 / Avg: 785916.8 / Max: 794081.04 Min: 753723.52 / Avg: 757534.07 / Max: 761753.9 Min: 208973.57 / Avg: 210214.04 / Max: 211595.71 Min: 385982.64 / Avg: 394967.22 / Max: 408822.68 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 0.0752 0.1504 0.2256 0.3008 0.376 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 0.331 0.333 0.334 0.235 0.182 0.177 0.133 0.118 0.112 0.106 0.105 0.104 0.101 0.089 0.085 0.076 0.080 0.295 0.162 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 1 2 3 4 5 Min: 0.33 / Avg: 0.33 / Max: 0.33 Min: 0.33 / Avg: 0.33 / Max: 0.33 Min: 0.33 / Avg: 0.33 / Max: 0.34 Min: 0.23 / Avg: 0.24 / Max: 0.24 Min: 0.18 / Avg: 0.18 / Max: 0.18 Min: 0.18 / Avg: 0.18 / Max: 0.18 Min: 0.13 / Avg: 0.13 / Max: 0.13 Min: 0.12 / Avg: 0.12 / Max: 0.12 Min: 0.11 / Avg: 0.11 / Max: 0.11 Min: 0.11 / Avg: 0.11 / Max: 0.11 Min: 0.11 / Avg: 0.11 / Max: 0.11 Min: 0.1 / Avg: 0.1 / Max: 0.11 Min: 0.1 / Avg: 0.1 / Max: 0.1 Min: 0.09 / Avg: 0.09 / Max: 0.09 Min: 0.08 / Avg: 0.09 / Max: 0.09 Min: 0.08 / Avg: 0.08 / Max: 0.08 Min: 0.08 / Avg: 0.08 / Max: 0.08 Min: 0.29 / Avg: 0.29 / Max: 0.3 Min: 0.16 / Avg: 0.16 / Max: 0.17 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 2 4 6 8 10 SE +/- 0.04339, N = 3 SE +/- 0.04427, N = 3 SE +/- 0.00819, N = 3 SE +/- 0.03491, N = 3 SE +/- 0.04343, N = 3 SE +/- 0.02456, N = 3 SE +/- 0.03746, N = 3 SE +/- 0.04479, N = 3 SE +/- 0.01735, N = 3 SE +/- 0.03266, N = 3 SE +/- 0.00219, N = 3 SE +/- 0.00908, N = 3 SE +/- 0.00481, N = 3 SE +/- 0.03050, N = 3 SE +/- 0.00537, N = 3 SE +/- 0.02396, N = 15 SE +/- 0.03138, N = 3 SE +/- 0.04864, N = 8 SE +/- 0.01584, N = 3 SE +/- 0.01454, N = 3 6.55394 6.63195 4.93430 6.24150 6.11090 2.96405 3.30438 2.96037 3.16025 2.86349 2.82606 1.95077 3.22663 2.14490 1.51546 2.26438 2.71121 4.60199 2.16598 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 3 6 9 12 15 Min: 6.47 / Avg: 6.55 / Max: 6.61 Min: 6.57 / Avg: 6.63 / Max: 6.72 Min: 4.92 / Avg: 4.93 / Max: 4.95 Min: 6.17 / Avg: 6.24 / Max: 6.28 Min: 6.02 / Avg: 6.11 / Max: 6.16 Min: 2.94 / Avg: 2.96 / Max: 3.01 Min: 3.26 / Avg: 3.3 / Max: 3.38 Min: 2.89 / Avg: 2.96 / Max: 3.04 Min: 3.13 / Avg: 3.16 / Max: 3.18 Min: 2.8 / Avg: 2.86 / Max: 2.91 Min: 2.82 / Avg: 2.83 / Max: 2.83 Min: 1.94 / Avg: 1.95 / Max: 1.97 Min: 3.22 / Avg: 3.23 / Max: 3.23 Min: 2.09 / Avg: 2.14 / Max: 2.19 Min: 1.51 / Avg: 1.52 / Max: 1.53 Min: 2.1 / Avg: 2.26 / Max: 2.37 Min: 2.65 / Avg: 2.71 / Max: 2.75 Min: 4.49 / Avg: 4.6 / Max: 4.92 Min: 2.14 / Avg: 2.17 / Max: 2.2 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 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 +/- 0.000, 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 +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 4 SE +/- 0.001, N = 3 0.278 0.280 0.273 0.194 0.149 0.145 0.100 0.086 0.104 0.098 0.099 0.098 0.093 0.076 0.071 0.064 0.066 0.238 0.127 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 1 2 3 4 5 Min: 0.28 / Avg: 0.28 / Max: 0.28 Min: 0.28 / Avg: 0.28 / Max: 0.28 Min: 0.27 / Avg: 0.27 / Max: 0.27 Min: 0.19 / Avg: 0.19 / Max: 0.2 Min: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.1 / Avg: 0.1 / Max: 0.1 Min: 0.09 / Avg: 0.09 / Max: 0.09 Min: 0.1 / Avg: 0.1 / Max: 0.11 Min: 0.1 / Avg: 0.1 / Max: 0.1 Min: 0.1 / Avg: 0.1 / Max: 0.1 Min: 0.1 / Avg: 0.1 / Max: 0.1 Min: 0.09 / Avg: 0.09 / Max: 0.09 Min: 0.08 / Avg: 0.08 / Max: 0.08 Min: 0.07 / Avg: 0.07 / Max: 0.07 Min: 0.06 / Avg: 0.06 / Max: 0.06 Min: 0.07 / Avg: 0.07 / Max: 0.07 Min: 0.24 / Avg: 0.24 / Max: 0.24 Min: 0.12 / Avg: 0.13 / Max: 0.13 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 7 14 21 28 35 SE +/- 0.10006, N = 3 SE +/- 0.09439, N = 3 SE +/- 0.01830, N = 3 SE +/- 0.04039, N = 3 SE +/- 0.08758, N = 3 SE +/- 0.05246, N = 3 SE +/- 0.05632, N = 3 SE +/- 0.01654, N = 3 SE +/- 0.04417, N = 3 SE +/- 0.02817, N = 3 SE +/- 0.02559, N = 3 SE +/- 0.01212, N = 3 SE +/- 0.01406, N = 3 SE +/- 0.02805, N = 3 SE +/- 0.03439, N = 3 SE +/- 0.04381, N = 3 SE +/- 0.01530, N = 3 SE +/- 0.03995, N = 3 SE +/- 0.04779, N = 3 SE +/- 0.01623, N = 3 30.83500 30.85730 28.66640 20.34490 16.48410 15.38170 13.04390 11.35090 10.53010 9.74450 9.69987 10.06000 9.15479 8.12129 8.01491 7.05688 7.06818 25.10930 13.05300 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 7 14 21 28 35 Min: 30.64 / Avg: 30.84 / Max: 30.97 Min: 30.69 / Avg: 30.86 / Max: 31.02 Min: 28.63 / Avg: 28.67 / Max: 28.7 Min: 20.27 / Avg: 20.34 / Max: 20.41 Min: 16.35 / Avg: 16.48 / Max: 16.65 Min: 15.31 / Avg: 15.38 / Max: 15.48 Min: 12.95 / Avg: 13.04 / Max: 13.14 Min: 11.33 / Avg: 11.35 / Max: 11.38 Min: 10.44 / Avg: 10.53 / Max: 10.58 Min: 9.69 / Avg: 9.74 / Max: 9.79 Min: 9.66 / Avg: 9.7 / Max: 9.75 Min: 10.05 / Avg: 10.06 / Max: 10.08 Min: 9.13 / Avg: 9.15 / Max: 9.17 Min: 8.09 / Avg: 8.12 / Max: 8.18 Min: 7.96 / Avg: 8.01 / Max: 8.08 Min: 7 / Avg: 7.06 / Max: 7.14 Min: 7.04 / Avg: 7.07 / Max: 7.09 Min: 25.04 / Avg: 25.11 / Max: 25.18 Min: 12.98 / Avg: 13.05 / Max: 13.14 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 600K 1200K 1800K 2400K 3000K SE +/- 7205.27, N = 5 SE +/- 2452.18, N = 3 SE +/- 6265.32, N = 3 SE +/- 4551.15, N = 3 SE +/- 6805.34, N = 3 SE +/- 11715.02, N = 3 SE +/- 10570.43, N = 3 SE +/- 18509.29, N = 3 SE +/- 15859.94, N = 15 SE +/- 2330.00, N = 3 SE +/- 16618.43, N = 3 SE +/- 17880.35, N = 3 SE +/- 22468.40, N = 3 SE +/- 25647.54, N = 15 SE +/- 39699.95, N = 3 SE +/- 39160.90, N = 3 SE +/- 21024.79, N = 13 SE +/- 5978.53, N = 3 SE +/- 6477.91, N = 3 SE +/- 16169.26, N = 11 610628 631618 644878 868519 986225 1193703 1482377 1686640 1656161 1897261 1839236 1948887 2071664 2328453 2657818 2591791 2571578 762256 1470326 1822559 1. (CC) gcc options: -pthread -lpthread -O3 -march=native
Result Confidence
OpenBenchmarking.org Records/s, More Is Better ebizzy 0.3 EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 500K 1000K 1500K 2000K 2500K Min: 592286 / Avg: 610627.6 / Max: 636440 Min: 626851 / Avg: 631618.33 / Max: 634999 Min: 632353 / Avg: 644877.67 / Max: 651475 Min: 859551 / Avg: 868519.33 / Max: 874351 Min: 976561 / Avg: 986224.67 / Max: 999357 Min: 1172032 / Avg: 1193703.33 / Max: 1212252 Min: 1461250 / Avg: 1482377.33 / Max: 1493596 Min: 1652517 / Avg: 1686640.33 / Max: 1716131 Min: 1522253 / Avg: 1656161.2 / Max: 1737769 Min: 1892618 / Avg: 1897261.33 / Max: 1899924 Min: 1806283 / Avg: 1839235.67 / Max: 1859468 Min: 1923349 / Avg: 1948887 / Max: 1983335 Min: 2041862 / Avg: 2071664.33 / Max: 2115692 Min: 2175791 / Avg: 2328453 / Max: 2490030 Min: 2583950 / Avg: 2657818 / Max: 2719969 Min: 2516831 / Avg: 2591791 / Max: 2648930 Min: 2423539 / Avg: 2571578.46 / Max: 2689288 Min: 753807 / Avg: 762256.33 / Max: 773808 Min: 1458373 / Avg: 1470325.67 / Max: 1480631 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 700K 1400K 2100K 2800K 3500K SE +/- 1495.89, N = 3 SE +/- 2626.99, N = 3 SE +/- 1631.66, N = 3 SE +/- 519.05, N = 3 SE +/- 624.08, N = 3 SE +/- 380.19, N = 3 SE +/- 961.47, N = 3 SE +/- 2523.85, N = 3 SE +/- 447.85, N = 3 SE +/- 303.13, N = 3 SE +/- 654.96, N = 3 SE +/- 309.31, N = 3 SE +/- 1189.21, N = 3 SE +/- 2633.01, N = 3 SE +/- 1127.21, N = 3 SE +/- 10740.36, N = 3 SE +/- 3448.59, N = 3 SE +/- 1334.67, N = 3 SE +/- 1498.01, N = 3 SE +/- 457.38, N = 3 3147143 3312693 3131150 2276043 1635677 1572953 1457950 1242963 979887 907005 906002 973193 850424 892001 851940 768962 939492 2717393 1346997 1171270
Result Confidence
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Inception ResNet V2 EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 600K 1200K 1800K 2400K 3000K Min: 3144340 / Avg: 3147143.33 / Max: 3149450 Min: 3309830 / Avg: 3312693.33 / Max: 3317940 Min: 3128620 / Avg: 3131150 / Max: 3134200 Min: 2275080 / Avg: 2276043.33 / Max: 2276860 Min: 1634960 / Avg: 1635676.67 / Max: 1636920 Min: 1572510 / Avg: 1572953.33 / Max: 1573710 Min: 1456070 / Avg: 1457950 / Max: 1459240 Min: 1238220 / Avg: 1242963.33 / Max: 1246830 Min: 979151 / Avg: 979886.67 / Max: 980697 Min: 906549 / Avg: 907005 / Max: 907579 Min: 905180 / Avg: 906001.67 / Max: 907296 Min: 972776 / Avg: 973192.67 / Max: 973797 Min: 848503 / Avg: 850424 / Max: 852599 Min: 889315 / Avg: 892001.33 / Max: 897267 Min: 850031 / Avg: 851939.67 / Max: 853933 Min: 748326 / Avg: 768961.67 / Max: 784446 Min: 932634 / Avg: 939491.67 / Max: 943559 Min: 2714830 / Avg: 2717393.33 / Max: 2719320 Min: 1344170 / Avg: 1346996.67 / Max: 1349270 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 10 20 30 40 50 SE +/- 0.13, N = 3 SE +/- 0.08, N = 3 SE +/- 0.53, N = 3 SE +/- 0.18, N = 3 SE +/- 0.23, N = 9 SE +/- 0.04, N = 3 SE +/- 0.08, N = 3 SE +/- 0.11, N = 3 SE +/- 0.26, N = 3 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.08, N = 3 SE +/- 0.13, N = 3 SE +/- 0.16, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.09, N = 3 SE +/- 0.18, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 44.18 44.90 40.63 31.18 24.06 21.73 19.10 16.39 15.53 13.63 13.00 13.44 13.30 11.68 10.49 11.27 12.20 37.26 18.38 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 9 18 27 36 45 Min: 44.03 / Avg: 44.18 / Max: 44.44 Min: 44.78 / Avg: 44.9 / Max: 45.05 Min: 39.58 / Avg: 40.63 / Max: 41.24 Min: 30.87 / Avg: 31.18 / Max: 31.49 Min: 23.34 / Avg: 24.06 / Max: 25.71 Min: 21.66 / Avg: 21.73 / Max: 21.78 Min: 19.01 / Avg: 19.1 / Max: 19.25 Min: 16.18 / Avg: 16.39 / Max: 16.58 Min: 15.06 / Avg: 15.53 / Max: 15.94 Min: 13.55 / Avg: 13.63 / Max: 13.74 Min: 12.92 / Avg: 13 / Max: 13.06 Min: 13.3 / Avg: 13.44 / Max: 13.57 Min: 13.11 / Avg: 13.3 / Max: 13.55 Min: 11.37 / Avg: 11.68 / Max: 11.86 Min: 10.41 / Avg: 10.49 / Max: 10.54 Min: 11.23 / Avg: 11.27 / Max: 11.32 Min: 12.02 / Avg: 12.2 / Max: 12.33 Min: 37.07 / Avg: 37.26 / Max: 37.62 Min: 18.37 / Avg: 18.38 / Max: 18.39 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 400 800 1200 1600 2000 SE +/- 0.58, N = 3 SE +/- 0.67, N = 3 SE +/- 0.33, N = 3 SE +/- 1.00, N = 3 SE +/- 1.53, N = 3 SE +/- 1.20, N = 3 SE +/- 2.08, N = 3 SE +/- 1.86, N = 3 SE +/- 1.20, N = 3 SE +/- 0.33, N = 3 SE +/- 1.33, N = 3 SE +/- 2.65, N = 3 SE +/- 2.03, N = 3 SE +/- 1.76, N = 3 SE +/- 1.00, N = 3 SE +/- 2.08, N = 3 SE +/- 4.58, N = 3 391 406 431 577 724 796 909 1024 1127 1195 1268 1165 1246 1442 1525 1666 1622 480 898 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 300 600 900 1200 1500 Min: 390 / Avg: 391 / Max: 392 Min: 405 / Avg: 405.67 / Max: 407 Min: 723 / Avg: 723.67 / Max: 724 Min: 794 / Avg: 796 / Max: 797 Min: 906 / Avg: 909 / Max: 911 Min: 1022 / Avg: 1024.33 / Max: 1026 Min: 1191 / Avg: 1195 / Max: 1198 Min: 1264 / Avg: 1267.67 / Max: 1270 Min: 1163 / Avg: 1164.67 / Max: 1167 Min: 1246 / Avg: 1246.33 / Max: 1247 Min: 1441 / Avg: 1442.33 / Max: 1445 Min: 1520 / Avg: 1525 / Max: 1529 Min: 1662 / Avg: 1665.67 / Max: 1669 Min: 1619 / Avg: 1621.67 / Max: 1625 Min: 478 / Avg: 480 / Max: 481 Min: 894 / Avg: 898 / Max: 901 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 60 120 180 240 300 295.86 287.40 287.34 209.48 165.05 160.86 128.78 113.46 99.78 95.20 92.64 97.10 87.90 75.77 76.22 71.65 71.67 235.47 131.51 100.63
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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 2 4 6 8 10 SE +/- 0.05423, N = 3 SE +/- 0.03858, N = 3 SE +/- 0.01003, N = 3 SE +/- 0.06965, N = 3 SE +/- 0.02067, N = 3 SE +/- 0.04327, N = 3 SE +/- 0.06679, N = 15 SE +/- 0.04434, N = 15 SE +/- 0.00870, N = 3 SE +/- 0.00959, N = 3 SE +/- 0.01261, N = 3 SE +/- 0.02569, N = 3 SE +/- 0.02667, N = 4 SE +/- 0.02668, N = 4 SE +/- 0.02366, N = 15 SE +/- 0.02420, N = 3 SE +/- 0.01714, N = 3 SE +/- 0.22388, N = 15 SE +/- 0.00914, N = 3 SE +/- 0.00245, N = 3 7.79600 5.87119 5.13825 4.77168 3.14991 2.97425 2.99977 2.47190 2.10673 2.01176 1.96299 2.25891 1.89386 2.02785 1.92590 1.95935 2.55843 4.81372 2.43553 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 3 6 9 12 15 Min: 7.71 / Avg: 7.8 / Max: 7.9 Min: 5.82 / Avg: 5.87 / Max: 5.95 Min: 5.12 / Avg: 5.14 / Max: 5.16 Min: 4.67 / Avg: 4.77 / Max: 4.9 Min: 3.11 / Avg: 3.15 / Max: 3.18 Min: 2.89 / Avg: 2.97 / Max: 3.04 Min: 2.71 / Avg: 3 / Max: 3.68 Min: 2.23 / Avg: 2.47 / Max: 2.82 Min: 2.09 / Avg: 2.11 / Max: 2.12 Min: 1.99 / Avg: 2.01 / Max: 2.03 Min: 1.95 / Avg: 1.96 / Max: 1.99 Min: 2.22 / Avg: 2.26 / Max: 2.31 Min: 1.85 / Avg: 1.89 / Max: 1.96 Min: 1.97 / Avg: 2.03 / Max: 2.09 Min: 1.79 / Avg: 1.93 / Max: 2.13 Min: 1.91 / Avg: 1.96 / Max: 1.99 Min: 2.53 / Avg: 2.56 / Max: 2.58 Min: 4.51 / Avg: 4.81 / Max: 7.94 Min: 2.42 / Avg: 2.44 / Max: 2.45 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 800K 1600K 2400K 3200K 4000K SE +/- 180.03, N = 3 SE +/- 1653.42, N = 3 SE +/- 1815.08, N = 3 SE +/- 565.25, N = 3 SE +/- 927.26, N = 3 SE +/- 430.56, N = 3 SE +/- 1422.61, N = 3 SE +/- 3534.54, N = 3 SE +/- 506.19, N = 3 SE +/- 641.33, N = 3 SE +/- 265.85, N = 3 SE +/- 1597.95, N = 3 SE +/- 1095.28, N = 3 SE +/- 1492.34, N = 3 SE +/- 796.92, N = 3 SE +/- 10849.29, N = 3 SE +/- 2152.71, N = 3 SE +/- 1214.14, N = 3 SE +/- 1977.94, N = 3 SE +/- 2472.71, N = 3 3482543 3658017 3449200 2541097 1818303 1751103 1651693 1434267 1098850 1018660 1017473 1096420 956334 1032227 974709 901115 1034893 2991340 1500570 1331757
Result Confidence
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Inception V4 EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 600K 1200K 1800K 2400K 3000K Min: 3482190 / Avg: 3482543.33 / Max: 3482780 Min: 3655440 / Avg: 3658016.67 / Max: 3661100 Min: 3446240 / Avg: 3449200 / Max: 3452500 Min: 2539990 / Avg: 2541096.67 / Max: 2541850 Min: 1816530 / Avg: 1818303.33 / Max: 1819660 Min: 1750250 / Avg: 1751103.33 / Max: 1751630 Min: 1648870 / Avg: 1651693.33 / Max: 1653410 Min: 1428600 / Avg: 1434266.67 / Max: 1440760 Min: 1098140 / Avg: 1098850 / Max: 1099830 Min: 1017430 / Avg: 1018660 / Max: 1019590 Min: 1016960 / Avg: 1017473.33 / Max: 1017850 Min: 1093440 / Avg: 1096420 / Max: 1098910 Min: 954214 / Avg: 956334.33 / Max: 957871 Min: 1029410 / Avg: 1032226.67 / Max: 1034490 Min: 973240 / Avg: 974709 / Max: 975979 Min: 883545 / Avg: 901115.33 / Max: 920927 Min: 1030910 / Avg: 1034893.33 / Max: 1038300 Min: 2989820 / Avg: 2991340 / Max: 2993740 Min: 1496910 / Avg: 1500570 / Max: 1503700 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 300K 600K 900K 1200K 1500K SE +/- 309.16, N = 3 SE +/- 236.56, N = 3 SE +/- 326.66, N = 3 SE +/- 946.65, N = 3 SE +/- 430.91, N = 3 SE +/- 3058.86, N = 3 SE +/- 1079.01, N = 3 SE +/- 4296.32, N = 3 SE +/- 5097.39, N = 3 SE +/- 1516.40, N = 3 SE +/- 3413.67, N = 3 SE +/- 10861.25, N = 3 SE +/- 5237.13, N = 3 SE +/- 1097.23, N = 3 SE +/- 913.29, N = 3 SE +/- 315.40, N = 3 SE +/- 2361.14, N = 3 SE +/- 254.64, N = 3 SE +/- 518.02, N = 3 SE +/- 5088.42, N = 3 298347.30 295421.35 312587.17 439772.58 582430.67 609406.36 798236.46 890248.99 881494.06 943555.64 934407.24 908073.32 952974.53 1171853.21 1188218.25 1177095.85 1146666.31 359429.77 709203.15 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 200K 400K 600K 800K 1000K Min: 297808.32 / Avg: 298347.3 / Max: 298879.2 Min: 295184.8 / Avg: 295421.35 / Max: 295894.46 Min: 312184.97 / Avg: 312587.17 / Max: 313234.14 Min: 438746.83 / Avg: 439772.58 / Max: 441663.6 Min: 581641.93 / Avg: 582430.67 / Max: 583125.8 Min: 603299.29 / Avg: 609406.36 / Max: 612772.48 Min: 796085.91 / Avg: 798236.46 / Max: 799467.02 Min: 885649.71 / Avg: 890248.99 / Max: 898834.32 Min: 871341.05 / Avg: 881494.06 / Max: 887368.86 Min: 941038.08 / Avg: 943555.64 / Max: 946278.96 Min: 929332.04 / Avg: 934407.24 / Max: 940899.74 Min: 892857.14 / Avg: 908073.32 / Max: 929107.19 Min: 942516.32 / Avg: 952974.53 / Max: 958705.75 Min: 1169875.7 / Avg: 1171853.21 / Max: 1173665.87 Min: 1186870.25 / Avg: 1188218.25 / Max: 1189959.71 Min: 1176470.59 / Avg: 1177095.85 / Max: 1177480.68 Min: 1142381.15 / Avg: 1146666.31 / Max: 1150527.33 Min: 359120.16 / Avg: 359429.77 / Max: 359934.76 Min: 708199.62 / Avg: 709203.15 / Max: 709927.9 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 40 80 120 160 200 SE +/- 0.19, N = 3 SE +/- 0.16, N = 3 SE +/- 0.04, N = 3 SE +/- 0.14, N = 3 SE +/- 0.21, N = 3 SE +/- 0.23, N = 3 SE +/- 0.49, N = 3 SE +/- 0.91, N = 3 SE +/- 0.69, N = 3 SE +/- 1.24, N = 3 SE +/- 0.47, N = 3 SE +/- 0.98, N = 3 SE +/- 0.63, N = 3 SE +/- 0.93, N = 3 SE +/- 1.41, N = 3 SE +/- 0.30, N = 3 SE +/- 0.98, N = 3 SE +/- 0.03, N = 3 SE +/- 0.17, N = 3 SE +/- 0.13, N = 3 42.34 41.74 41.90 60.67 77.11 80.26 98.40 113.54 122.18 132.93 131.25 123.86 141.01 161.14 159.13 166.89 161.96 47.91 86.52 122.40 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 30 60 90 120 150 Min: 41.96 / Avg: 42.34 / Max: 42.54 Min: 41.42 / Avg: 41.74 / Max: 41.96 Min: 41.84 / Avg: 41.9 / Max: 41.97 Min: 60.39 / Avg: 60.67 / Max: 60.84 Min: 76.7 / Avg: 77.11 / Max: 77.39 Min: 80.02 / Avg: 80.26 / Max: 80.71 Min: 97.42 / Avg: 98.4 / Max: 98.98 Min: 111.79 / Avg: 113.54 / Max: 114.83 Min: 120.87 / Avg: 122.18 / Max: 123.2 Min: 130.61 / Avg: 132.93 / Max: 134.86 Min: 130.35 / Avg: 131.25 / Max: 131.96 Min: 121.9 / Avg: 123.86 / Max: 124.95 Min: 139.76 / Avg: 141.01 / Max: 141.74 Min: 159.28 / Avg: 161.14 / Max: 162.21 Min: 157.52 / Avg: 159.13 / Max: 161.94 Min: 166.3 / Avg: 166.89 / Max: 167.32 Min: 160.26 / Avg: 161.96 / Max: 163.67 Min: 47.87 / Avg: 47.91 / Max: 47.98 Min: 86.33 / Avg: 86.52 / Max: 86.86 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 20 40 60 80 100 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 74.10 75.37 70.90 52.85 41.84 40.27 33.35 29.46 27.05 25.52 25.52 26.23 24.19 21.01 20.91 18.90 19.16 61.75 34.08 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 14 28 42 56 70 Min: 74.06 / Avg: 74.1 / Max: 74.14 Min: 75.26 / Avg: 75.37 / Max: 75.42 Min: 70.86 / Avg: 70.9 / Max: 70.95 Min: 52.82 / Avg: 52.84 / Max: 52.88 Min: 41.79 / Avg: 41.84 / Max: 41.9 Min: 40.24 / Avg: 40.27 / Max: 40.32 Min: 33.33 / Avg: 33.35 / Max: 33.36 Min: 29.42 / Avg: 29.46 / Max: 29.5 Min: 27.03 / Avg: 27.05 / Max: 27.08 Min: 25.5 / Avg: 25.52 / Max: 25.53 Min: 25.5 / Avg: 25.51 / Max: 25.53 Min: 26.21 / Avg: 26.23 / Max: 26.24 Min: 24.15 / Avg: 24.18 / Max: 24.21 Min: 20.99 / Avg: 21.01 / Max: 21.02 Min: 20.88 / Avg: 20.91 / Max: 20.95 Min: 18.89 / Avg: 18.9 / Max: 18.91 Min: 19.13 / Avg: 19.16 / Max: 19.18 Min: 61.72 / Avg: 61.75 / Max: 61.78 Min: 34.06 / Avg: 34.08 / Max: 34.11 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 30K 60K 90K 120K 150K SE +/- 219.73, N = 3 SE +/- 337.56, N = 3 SE +/- 67.38, N = 3 SE +/- 802.19, N = 3 SE +/- 120.56, N = 3 SE +/- 106.02, N = 3 SE +/- 473.52, N = 3 SE +/- 334.89, N = 3 SE +/- 1254.13, N = 3 SE +/- 320.50, N = 3 SE +/- 1104.18, N = 12 SE +/- 554.28, N = 3 SE +/- 293.15, N = 3 SE +/- 252.72, N = 3 SE +/- 1908.61, N = 3 SE +/- 1672.04, N = 8 SE +/- 2123.40, N = 3 SE +/- 68.82, N = 3 SE +/- 155.57, N = 3 SE +/- 242.78, N = 3 44076.81 41087.46 47744.98 58471.22 76405.27 84934.71 91394.81 109971.98 124083.95 134830.00 133908.92 135022.21 143497.18 138431.07 150648.47 160887.39 134685.96 52650.75 98750.37 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 30K 60K 90K 120K 150K Min: 43682.07 / Avg: 44076.81 / Max: 44441.44 Min: 40596.75 / Avg: 41087.46 / Max: 41734.37 Min: 47673.86 / Avg: 47744.98 / Max: 47879.67 Min: 57538.62 / Avg: 58471.22 / Max: 60068.11 Min: 76247.66 / Avg: 76405.27 / Max: 76642.11 Min: 84763.98 / Avg: 84934.71 / Max: 85128.98 Min: 90617.8 / Avg: 91394.81 / Max: 92252.2 Min: 109341.81 / Avg: 109971.98 / Max: 110483.57 Min: 121594.51 / Avg: 124083.95 / Max: 125594.29 Min: 134233.96 / Avg: 134830 / Max: 135332.24 Min: 121806.39 / Avg: 133908.92 / Max: 135449.55 Min: 134245.38 / Avg: 135022.21 / Max: 136095.53 Min: 142929.16 / Avg: 143497.18 / Max: 143906.96 Min: 137948.8 / Avg: 138431.07 / Max: 138803.22 Min: 148564.98 / Avg: 150648.47 / Max: 154460.18 Min: 158223.44 / Avg: 160887.39 / Max: 172237.35 Min: 130680.76 / Avg: 134685.96 / Max: 137911.4 Min: 52530.46 / Avg: 52650.75 / Max: 52768.82 Min: 98547.12 / Avg: 98750.37 / Max: 99056.01 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 20 40 60 80 100 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.09, N = 3 SE +/- 0.24, N = 3 SE +/- 0.13, N = 3 SE +/- 0.13, N = 3 SE +/- 0.28, N = 3 SE +/- 0.17, N = 3 SE +/- 0.32, N = 3 SE +/- 0.46, N = 3 SE +/- 0.32, N = 3 SE +/- 0.32, N = 3 SE +/- 0.11, N = 3 SE +/- 0.14, N = 3 SE +/- 0.01, N = 3 SE +/- 0.13, N = 3 SE +/- 0.21, N = 3 20.58 20.36 20.75 28.88 34.09 34.97 46.47 52.55 53.27 55.73 56.00 53.42 58.06 59.03 60.07 79.52 75.49 23.50 38.88 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 15 30 45 60 75 Min: 20.51 / Avg: 20.58 / Max: 20.64 Min: 20.33 / Avg: 20.36 / Max: 20.38 Min: 20.72 / Avg: 20.75 / Max: 20.78 Min: 28.86 / Avg: 28.88 / Max: 28.9 Min: 33.99 / Avg: 34.09 / Max: 34.19 Min: 34.78 / Avg: 34.97 / Max: 35.1 Min: 46.14 / Avg: 46.47 / Max: 46.94 Min: 52.41 / Avg: 52.55 / Max: 52.81 Min: 53.02 / Avg: 53.27 / Max: 53.46 Min: 55.4 / Avg: 55.73 / Max: 56.29 Min: 55.76 / Avg: 56 / Max: 56.32 Min: 52.81 / Avg: 53.42 / Max: 53.91 Min: 57.42 / Avg: 58.06 / Max: 58.94 Min: 58.58 / Avg: 59.03 / Max: 59.65 Min: 59.46 / Avg: 60.07 / Max: 60.53 Min: 79.31 / Avg: 79.52 / Max: 79.64 Min: 75.26 / Avg: 75.49 / Max: 75.74 Min: 23.49 / Avg: 23.5 / Max: 23.53 Min: 38.63 / Avg: 38.88 / Max: 39.04 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 30 60 90 120 150 SE +/- 0.12, N = 3 SE +/- 0.32, N = 3 SE +/- 0.12, N = 3 SE +/- 0.36, N = 3 SE +/- 0.15, N = 3 SE +/- 0.07, N = 3 SE +/- 0.44, N = 3 SE +/- 0.17, N = 3 SE +/- 0.15, N = 3 SE +/- 0.19, N = 3 SE +/- 0.20, N = 3 SE +/- 0.54, N = 3 SE +/- 0.35, N = 3 SE +/- 0.61, N = 3 SE +/- 0.77, N = 3 SE +/- 0.61, N = 3 SE +/- 1.18, N = 3 SE +/- 0.13, N = 3 SE +/- 0.23, N = 3 SE +/- 0.09, N = 3 36.0 38.3 43.4 52.5 64.5 71.3 89.7 92.9 108.9 109.7 110.5 116.8 109.1 122.1 125.0 139.2 126.6 43.5 80.9 101.1 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 30 60 90 120 150 Min: 35.8 / Avg: 36 / Max: 36.2 Min: 37.7 / Avg: 38.33 / Max: 38.7 Min: 43.2 / Avg: 43.43 / Max: 43.6 Min: 51.8 / Avg: 52.5 / Max: 53 Min: 64.3 / Avg: 64.53 / Max: 64.8 Min: 71.2 / Avg: 71.33 / Max: 71.4 Min: 88.8 / Avg: 89.67 / Max: 90.2 Min: 92.7 / Avg: 92.87 / Max: 93.2 Min: 108.7 / Avg: 108.93 / Max: 109.2 Min: 109.5 / Avg: 109.73 / Max: 110.1 Min: 110.3 / Avg: 110.5 / Max: 110.9 Min: 115.8 / Avg: 116.83 / Max: 117.6 Min: 108.6 / Avg: 109.13 / Max: 109.8 Min: 121 / Avg: 122.13 / Max: 123.1 Min: 123.9 / Avg: 125.03 / Max: 126.5 Min: 138 / Avg: 139.2 / Max: 140 Min: 124.2 / Avg: 126.57 / Max: 127.8 Min: 43.4 / Avg: 43.53 / Max: 43.8 Min: 80.5 / Avg: 80.9 / Max: 81.3 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 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7352 EPYC 7452 EPYC 7502 EPYC 7532 EPYC 7542 EPYC 7F52 4 8 12 16 20 SE +/- 0.056, N = 3 SE +/- 0.052, N = 3 SE +/- 0.110, N = 4 SE +/- 0.174, N = 3 SE +/- 0.025, N = 3 SE +/- 0.033, N = 3 SE +/- 0.045, N = 3 SE +/- 0.016, N = 3 SE +/- 0.038, N = 3 SE +/- 0.013, N = 3 5.031 4.867 7.481 9.123 13.129 16.237 17.341 17.276 18.028 9.287 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 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7352 EPYC 7452 EPYC 7502 EPYC 7532 EPYC 7542 EPYC 7F52 5 10 15 20 25 Min: 4.96 / Avg: 5.03 / Max: 5.14 Min: 4.77 / Avg: 4.87 / Max: 4.94 Min: 7.16 / Avg: 7.48 / Max: 7.65 Min: 8.78 / Avg: 9.12 / Max: 9.34 Min: 13.09 / Avg: 13.13 / Max: 13.18 Min: 16.19 / Avg: 16.24 / Max: 16.3 Min: 17.26 / Avg: 17.34 / Max: 17.42 Min: 17.25 / Avg: 17.28 / Max: 17.31 Min: 17.96 / Avg: 18.03 / Max: 18.09 Min: 9.26 / Avg: 9.29 / Max: 9.3 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 60 120 180 240 300 SE +/- 0.37, N = 3 SE +/- 0.21, N = 3 SE +/- 0.21, N = 3 SE +/- 0.27, N = 3 SE +/- 0.83, N = 3 SE +/- 1.23, N = 3 SE +/- 0.95, N = 3 SE +/- 0.78, N = 3 SE +/- 3.58, N = 4 SE +/- 2.25, N = 3 SE +/- 1.54, N = 3 SE +/- 3.11, N = 3 SE +/- 3.97, N = 3 SE +/- 1.81, N = 3 SE +/- 2.83, N = 3 SE +/- 1.02, N = 3 SE +/- 2.06, N = 3 SE +/- 0.48, N = 3 SE +/- 0.73, N = 3 SE +/- 1.86, N = 3 87.66 85.67 80.77 159.41 201.17 196.52 241.17 260.38 275.88 286.20 285.23 266.03 297.18 286.10 288.70 282.53 278.50 95.61 202.89 291.00 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 50 100 150 200 250 Min: 87.18 / Avg: 87.66 / Max: 88.39 Min: 85.3 / Avg: 85.67 / Max: 86.01 Min: 80.44 / Avg: 80.77 / Max: 81.16 Min: 158.86 / Avg: 159.41 / Max: 159.7 Min: 199.53 / Avg: 201.17 / Max: 202.16 Min: 194.11 / Avg: 196.52 / Max: 198.15 Min: 239.52 / Avg: 241.17 / Max: 242.82 Min: 259.29 / Avg: 260.38 / Max: 261.89 Min: 267.74 / Avg: 275.88 / Max: 285.17 Min: 281.95 / Avg: 286.2 / Max: 289.58 Min: 282.75 / Avg: 285.23 / Max: 288.05 Min: 262.47 / Avg: 266.03 / Max: 272.23 Min: 291.26 / Avg: 297.18 / Max: 304.72 Min: 282.89 / Avg: 286.1 / Max: 289.16 Min: 283.42 / Avg: 288.7 / Max: 293.11 Min: 280.5 / Avg: 282.53 / Max: 283.55 Min: 276.37 / Avg: 278.5 / Max: 282.62 Min: 95 / Avg: 95.61 / Max: 96.56 Min: 201.82 / Avg: 202.89 / Max: 204.29 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 7 14 21 28 35 SE +/- 0.042, N = 3 SE +/- 0.088, N = 3 SE +/- 0.102, N = 3 SE +/- 0.124, N = 3 SE +/- 0.047, N = 3 SE +/- 0.070, N = 3 SE +/- 0.112, N = 3 SE +/- 0.014, N = 3 SE +/- 0.025, N = 3 SE +/- 0.009, N = 3 SE +/- 0.023, N = 3 SE +/- 0.135, N = 3 SE +/- 0.020, N = 3 SE +/- 0.070, N = 3 SE +/- 0.052, N = 3 SE +/- 0.030, N = 3 SE +/- 0.089, N = 3 SE +/- 0.047, N = 3 SE +/- 0.011, N = 3 SE +/- 0.060, N = 3 25.669 28.157 24.688 20.377 14.890 15.273 13.488 11.532 10.151 9.796 9.761 9.981 9.819 8.343 8.384 7.679 8.301 23.290 13.366 10.772 1. (CXX) g++ options: -O2 -lOpenCL
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP CFD Solver EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 6 12 18 24 30 Min: 25.59 / Avg: 25.67 / Max: 25.71 Min: 28.03 / Avg: 28.16 / Max: 28.33 Min: 24.56 / Avg: 24.69 / Max: 24.89 Min: 20.2 / Avg: 20.38 / Max: 20.62 Min: 14.82 / Avg: 14.89 / Max: 14.98 Min: 15.17 / Avg: 15.27 / Max: 15.41 Min: 13.28 / Avg: 13.49 / Max: 13.66 Min: 11.51 / Avg: 11.53 / Max: 11.55 Min: 10.1 / Avg: 10.15 / Max: 10.19 Min: 9.78 / Avg: 9.8 / Max: 9.81 Min: 9.72 / Avg: 9.76 / Max: 9.79 Min: 9.83 / Avg: 9.98 / Max: 10.25 Min: 9.79 / Avg: 9.82 / Max: 9.86 Min: 8.27 / Avg: 8.34 / Max: 8.48 Min: 8.32 / Avg: 8.38 / Max: 8.49 Min: 7.63 / Avg: 7.68 / Max: 7.73 Min: 8.14 / Avg: 8.3 / Max: 8.44 Min: 23.21 / Avg: 23.29 / Max: 23.37 Min: 13.35 / Avg: 13.37 / Max: 13.39 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 20 40 60 80 100 SE +/- 0.82, N = 3 SE +/- 0.81, N = 3 SE +/- 0.78, N = 3 SE +/- 1.26, N = 3 SE +/- 0.73, N = 3 SE +/- 0.75, N = 4 SE +/- 0.85, N = 3 SE +/- 0.74, N = 3 SE +/- 0.51, N = 5 SE +/- 0.50, N = 5 SE +/- 0.50, N = 5 SE +/- 0.44, N = 3 SE +/- 0.41, N = 6 SE +/- 0.34, N = 8 SE +/- 0.32, N = 8 SE +/- 0.29, N = 9 SE +/- 0.29, N = 9 SE +/- 0.59, N = 3 SE +/- 0.61, N = 3 SE +/- 0.66, N = 3 107.09 105.12 97.94 75.08 61.95 56.26 50.11 44.09 41.12 38.73 38.68 39.14 36.52 32.17 31.93 29.46 29.71 85.45 46.98 39.47
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed Linux Kernel Compilation 5.4 Time To Compile EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 20 40 60 80 100 Min: 105.98 / Avg: 107.09 / Max: 108.69 Min: 104.06 / Avg: 105.12 / Max: 106.71 Min: 96.97 / Avg: 97.94 / Max: 99.48 Min: 73.79 / Avg: 75.08 / Max: 77.61 Min: 60.99 / Avg: 61.95 / Max: 63.38 Min: 55.06 / Avg: 56.26 / Max: 58.43 Min: 49.19 / Avg: 50.11 / Max: 51.82 Min: 43.31 / Avg: 44.09 / Max: 45.57 Min: 40.52 / Avg: 41.12 / Max: 43.17 Min: 38.21 / Avg: 38.73 / Max: 40.75 Min: 38.07 / Avg: 38.68 / Max: 40.67 Min: 38.68 / Avg: 39.14 / Max: 40.01 Min: 36.06 / Avg: 36.52 / Max: 38.57 Min: 31.54 / Avg: 32.17 / Max: 34.51 Min: 31.51 / Avg: 31.93 / Max: 34.2 Min: 29.1 / Avg: 29.46 / Max: 31.76 Min: 29.33 / Avg: 29.71 / Max: 32.04 Min: 84.43 / Avg: 85.45 / Max: 86.48 Min: 46.33 / Avg: 46.98 / Max: 48.2 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 0.4148 0.8296 1.2444 1.6592 2.074 SE +/- 0.006472, N = 3 SE +/- 0.002690, N = 3 SE +/- 0.024818, N = 4 SE +/- 0.011469, N = 3 SE +/- 0.005483, N = 3 SE +/- 0.009798, N = 15 SE +/- 0.006121, N = 3 SE +/- 0.003662, N = 3 SE +/- 0.003436, N = 3 SE +/- 0.002135, N = 3 SE +/- 0.003266, N = 3 SE +/- 0.004547, N = 3 SE +/- 0.000576, N = 3 SE +/- 0.051492, N = 12 SE +/- 0.007556, N = 9 SE +/- 0.002637, N = 3 SE +/- 0.001105, N = 3 SE +/- 0.015210, N = 3 SE +/- 0.005635, N = 3 SE +/- 0.002349, N = 3 1.843760 1.713940 1.662110 1.316400 1.175090 1.084500 0.861371 0.749534 0.738508 0.712874 0.702869 0.636335 0.539435 0.682353 0.800377 0.508448 0.624560 1.496190 0.692661 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 2 4 6 8 10 Min: 1.84 / Avg: 1.84 / Max: 1.86 Min: 1.71 / Avg: 1.71 / Max: 1.72 Min: 1.63 / Avg: 1.66 / Max: 1.74 Min: 1.3 / Avg: 1.32 / Max: 1.34 Min: 1.17 / Avg: 1.18 / Max: 1.19 Min: 1.03 / Avg: 1.08 / Max: 1.21 Min: 0.85 / Avg: 0.86 / Max: 0.87 Min: 0.75 / Avg: 0.75 / Max: 0.76 Min: 0.73 / Avg: 0.74 / Max: 0.74 Min: 0.71 / Avg: 0.71 / Max: 0.72 Min: 0.7 / Avg: 0.7 / Max: 0.71 Min: 0.63 / Avg: 0.64 / Max: 0.65 Min: 0.54 / Avg: 0.54 / Max: 0.54 Min: 0.54 / Avg: 0.68 / Max: 0.95 Min: 0.76 / Avg: 0.8 / Max: 0.83 Min: 0.5 / Avg: 0.51 / Max: 0.51 Min: 0.62 / Avg: 0.62 / Max: 0.63 Min: 1.48 / Avg: 1.5 / Max: 1.53 Min: 0.68 / Avg: 0.69 / Max: 0.7 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 80 160 240 320 400 SE +/- 0.19, N = 3 SE +/- 0.19, N = 3 SE +/- 0.44, N = 3 SE +/- 0.60, N = 3 SE +/- 0.74, N = 3 SE +/- 0.84, N = 3 SE +/- 0.18, N = 3 SE +/- 0.65, N = 3 SE +/- 3.26, N = 3 SE +/- 0.97, N = 3 SE +/- 1.60, N = 3 SE +/- 1.86, N = 3 SE +/- 1.64, N = 3 SE +/- 0.35, N = 3 SE +/- 0.92, N = 3 SE +/- 3.39, N = 3 SE +/- 1.71, N = 3 SE +/- 0.17, N = 3 SE +/- 1.32, N = 3 SE +/- 0.78, N = 3 115.55 112.47 103.49 195.57 252.60 247.19 302.67 334.14 348.02 354.06 357.09 332.00 374.54 369.46 364.75 360.79 348.52 120.31 246.52 361.45 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 70 140 210 280 350 Min: 115.19 / Avg: 115.55 / Max: 115.81 Min: 112.13 / Avg: 112.47 / Max: 112.8 Min: 102.62 / Avg: 103.49 / Max: 103.95 Min: 194.68 / Avg: 195.57 / Max: 196.72 Min: 251.15 / Avg: 252.6 / Max: 253.59 Min: 245.6 / Avg: 247.19 / Max: 248.45 Min: 302.42 / Avg: 302.67 / Max: 303.03 Min: 332.96 / Avg: 334.14 / Max: 335.2 Min: 343.64 / Avg: 348.02 / Max: 354.4 Min: 352.32 / Avg: 354.06 / Max: 355.66 Min: 354.4 / Avg: 357.09 / Max: 359.93 Min: 329.31 / Avg: 332 / Max: 335.57 Min: 372.9 / Avg: 374.54 / Max: 377.83 Min: 369 / Avg: 369.46 / Max: 370.14 Min: 362.98 / Avg: 364.75 / Max: 366.08 Min: 354.19 / Avg: 360.79 / Max: 365.41 Min: 345.82 / Avg: 348.52 / Max: 351.7 Min: 119.98 / Avg: 120.31 / Max: 120.53 Min: 244.2 / Avg: 246.52 / Max: 248.76 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 40 80 120 160 200 SE +/- 1.14, N = 3 SE +/- 0.48, N = 3 SE +/- 0.46, N = 3 SE +/- 0.23, N = 3 SE +/- 0.69, N = 3 SE +/- 0.38, N = 3 SE +/- 0.03, N = 3 SE +/- 0.31, N = 3 SE +/- 0.41, N = 3 SE +/- 0.08, N = 3 SE +/- 0.46, N = 3 SE +/- 0.20, N = 3 SE +/- 0.27, N = 3 SE +/- 0.57, N = 4 SE +/- 0.45, N = 8 SE +/- 0.24, N = 3 SE +/- 0.79, N = 4 SE +/- 0.14, N = 3 SE +/- 0.99, N = 3 SE +/- 0.14, N = 3 153.13 162.64 151.14 113.37 100.99 97.02 68.34 60.56 60.54 57.39 57.40 59.47 56.19 46.45 45.36 45.05 54.35 133.10 87.18 55.04 1. (CXX) g++ options: -O2 -lOpenCL
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP Leukocyte EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 30 60 90 120 150 Min: 151.63 / Avg: 153.13 / Max: 155.37 Min: 161.79 / Avg: 162.64 / Max: 163.45 Min: 150.42 / Avg: 151.14 / Max: 151.98 Min: 112.91 / Avg: 113.37 / Max: 113.64 Min: 99.65 / Avg: 100.98 / Max: 101.96 Min: 96.64 / Avg: 97.02 / Max: 97.77 Min: 68.29 / Avg: 68.34 / Max: 68.38 Min: 59.94 / Avg: 60.56 / Max: 60.89 Min: 60 / Avg: 60.54 / Max: 61.33 Min: 57.23 / Avg: 57.39 / Max: 57.47 Min: 56.58 / Avg: 57.4 / Max: 58.17 Min: 59.21 / Avg: 59.47 / Max: 59.87 Min: 55.69 / Avg: 56.19 / Max: 56.63 Min: 45.49 / Avg: 46.44 / Max: 48.06 Min: 44.01 / Avg: 45.35 / Max: 48.12 Min: 44.57 / Avg: 45.05 / Max: 45.32 Min: 53.22 / Avg: 54.35 / Max: 56.65 Min: 132.94 / Avg: 133.1 / Max: 133.37 Min: 85.23 / Avg: 87.18 / Max: 88.43 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 30M 60M 90M 120M 150M SE +/- 79087.77, N = 3 SE +/- 367613.84, N = 3 SE +/- 300071.26, N = 3 SE +/- 553117.95, N = 3 SE +/- 21654.12, N = 3 SE +/- 258439.14, N = 3 SE +/- 346134.38, N = 3 SE +/- 92631.94, N = 3 SE +/- 43695.86, N = 3 SE +/- 138505.24, N = 3 SE +/- 61652.84, N = 3 SE +/- 325493.89, N = 3 SE +/- 85623.51, N = 3 SE +/- 534270.03, N = 3 SE +/- 699142.47, N = 3 SE +/- 13013.76, N = 3 SE +/- 117297.02, N = 3 SE +/- 276293.23, N = 3 SE +/- 57668.78, N = 3 SE +/- 547694.92, N = 3 40677543 69631237 100136353 54729003 46309610 103276333 75657760 79244993 65842107 66023410 68816610 104620000 66281803 82508063 92809700 77768500 77105490 106472367 141602033 113303100 1. (CXX) g++ options: -O3 -fopenmp
Result Confidence
OpenBenchmarking.org Throughput FoM, More Is Better Kripke 1.2.4 EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 20M 40M 60M 80M 100M Min: 40535410 / Avg: 40677543.33 / Max: 40808720 Min: 68899500 / Avg: 69631236.67 / Max: 70059080 Min: 99550260 / Avg: 100136353.33 / Max: 100541200 Min: 54086810 / Avg: 54729003.33 / Max: 55830170 Min: 46284070 / Avg: 46309610 / Max: 46352670 Min: 102759600 / Avg: 103276333.33 / Max: 103545300 Min: 75166410 / Avg: 75657760 / Max: 76325760 Min: 79076240 / Avg: 79244993.33 / Max: 79395580 Min: 65754820 / Avg: 65842106.67 / Max: 65889460 Min: 65816160 / Avg: 66023410 / Max: 66286210 Min: 68738250 / Avg: 68816610 / Max: 68938240 Min: 104002100 / Avg: 104620000 / Max: 105106400 Min: 66123390 / Avg: 66281803.33 / Max: 66417340 Min: 81446530 / Avg: 82508063.33 / Max: 83144630 Min: 91869130 / Avg: 92809700 / Max: 94176030 Min: 77749830 / Avg: 77768500 / Max: 77793540 Min: 76917380 / Avg: 77105490 / Max: 77320940 Min: 105955800 / Avg: 106472366.67 / Max: 106900600 Min: 141487000 / Avg: 141602033.33 / Max: 141666800 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 11 22 33 44 55 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 46.73 45.07 42.15 32.80 27.16 24.58 21.44 19.01 17.87 16.98 16.91 16.94 16.09 14.44 14.21 13.44 13.61 36.78 20.77 17.29
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed MPlayer Compilation 1.4 Time To Compile EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 10 20 30 40 50 Min: 46.7 / Avg: 46.73 / Max: 46.78 Min: 45 / Avg: 45.07 / Max: 45.14 Min: 42.08 / Avg: 42.15 / Max: 42.23 Min: 32.74 / Avg: 32.8 / Max: 32.87 Min: 27.07 / Avg: 27.15 / Max: 27.25 Min: 24.53 / Avg: 24.57 / Max: 24.64 Min: 21.4 / Avg: 21.44 / Max: 21.5 Min: 18.97 / Avg: 19.01 / Max: 19.04 Min: 17.84 / Avg: 17.87 / Max: 17.89 Min: 16.98 / Avg: 16.98 / Max: 16.98 Min: 16.84 / Avg: 16.91 / Max: 17 Min: 16.89 / Avg: 16.94 / Max: 16.98 Min: 16.01 / Avg: 16.09 / Max: 16.14 Min: 14.36 / Avg: 14.43 / Max: 14.5 Min: 14.18 / Avg: 14.21 / Max: 14.23 Min: 13.4 / Avg: 13.44 / Max: 13.49 Min: 13.56 / Avg: 13.61 / Max: 13.68 Min: 36.73 / Avg: 36.78 / Max: 36.82 Min: 20.74 / Avg: 20.77 / Max: 20.81 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 4 8 12 16 20 SE +/- 0.02746, N = 3 SE +/- 0.03075, N = 3 SE +/- 0.12714, N = 3 SE +/- 0.03084, N = 3 SE +/- 0.00820, N = 3 SE +/- 0.10143, N = 4 SE +/- 0.00709, N = 3 SE +/- 0.00753, N = 3 SE +/- 0.01115, N = 3 SE +/- 0.00234, N = 3 SE +/- 0.00885, N = 3 SE +/- 0.01336, N = 3 SE +/- 0.00353, N = 3 SE +/- 0.00254, N = 3 SE +/- 0.00059, N = 3 SE +/- 0.00298, N = 3 SE +/- 0.00415, N = 3 SE +/- 0.07384, N = 3 SE +/- 0.06725, N = 3 SE +/- 0.03557, N = 3 14.55650 14.72650 15.01350 9.46552 7.34207 7.66718 5.77336 5.22125 4.94904 4.64995 4.65515 4.79450 4.47072 4.37212 4.39351 4.36521 4.50294 13.78970 7.05423 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 4 8 12 16 20 Min: 14.51 / Avg: 14.56 / Max: 14.6 Min: 14.7 / Avg: 14.73 / Max: 14.79 Min: 14.77 / Avg: 15.01 / Max: 15.2 Min: 9.41 / Avg: 9.47 / Max: 9.51 Min: 7.33 / Avg: 7.34 / Max: 7.35 Min: 7.47 / Avg: 7.67 / Max: 7.94 Min: 5.76 / Avg: 5.77 / Max: 5.79 Min: 5.21 / Avg: 5.22 / Max: 5.24 Min: 4.93 / Avg: 4.95 / Max: 4.97 Min: 4.65 / Avg: 4.65 / Max: 4.65 Min: 4.65 / Avg: 4.66 / Max: 4.67 Min: 4.78 / Avg: 4.79 / Max: 4.82 Min: 4.47 / Avg: 4.47 / Max: 4.48 Min: 4.37 / Avg: 4.37 / Max: 4.37 Min: 4.39 / Avg: 4.39 / Max: 4.39 Min: 4.36 / Avg: 4.37 / Max: 4.37 Min: 4.49 / Avg: 4.5 / Max: 4.51 Min: 13.65 / Avg: 13.79 / Max: 13.89 Min: 6.95 / Avg: 7.05 / Max: 7.18 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 9 18 27 36 45 SE +/- 0.15, N = 3 SE +/- 0.10, N = 3 SE +/- 0.16, N = 3 SE +/- 0.14, N = 3 SE +/- 0.03, N = 3 SE +/- 0.21, N = 3 SE +/- 0.14, N = 3 SE +/- 0.25, N = 3 SE +/- 0.27, N = 3 SE +/- 0.23, N = 3 SE +/- 0.12, N = 3 SE +/- 0.15, N = 3 SE +/- 0.32, N = 3 SE +/- 0.09, N = 3 SE +/- 0.21, N = 3 SE +/- 0.31, N = 3 SE +/- 0.27, N = 3 SE +/- 0.14, N = 3 SE +/- 0.26, N = 3 SE +/- 0.35, N = 3 10.98 12.33 12.96 15.90 20.13 21.62 24.75 27.86 29.69 31.86 32.30 30.10 33.82 33.04 34.80 37.42 32.08 15.03 24.98 29.48
Result Confidence
OpenBenchmarking.org FPS, More Is Better PlaidML FP16: No - Mode: Inference - Network: VGG16 - Device: CPU EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 8 16 24 32 40 Min: 10.72 / Avg: 10.98 / Max: 11.24 Min: 12.16 / Avg: 12.33 / Max: 12.49 Min: 12.65 / Avg: 12.96 / Max: 13.17 Min: 15.65 / Avg: 15.9 / Max: 16.12 Min: 20.08 / Avg: 20.13 / Max: 20.18 Min: 21.35 / Avg: 21.62 / Max: 22.04 Min: 24.52 / Avg: 24.75 / Max: 24.99 Min: 27.56 / Avg: 27.86 / Max: 28.36 Min: 29.22 / Avg: 29.69 / Max: 30.17 Min: 31.4 / Avg: 31.86 / Max: 32.11 Min: 32.1 / Avg: 32.3 / Max: 32.52 Min: 29.89 / Avg: 30.1 / Max: 30.39 Min: 33.22 / Avg: 33.82 / Max: 34.33 Min: 32.94 / Avg: 33.04 / Max: 33.21 Min: 34.56 / Avg: 34.8 / Max: 35.22 Min: 36.86 / Avg: 37.42 / Max: 37.93 Min: 31.8 / Avg: 32.08 / Max: 32.62 Min: 14.81 / Avg: 15.03 / Max: 15.28 Min: 24.48 / Avg: 24.98 / Max: 25.34 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 40K 80K 120K 160K 200K SE +/- 139.20, N = 3 SE +/- 284.64, N = 3 SE +/- 51.41, N = 3 SE +/- 246.26, N = 3 SE +/- 82.24, N = 3 SE +/- 157.79, N = 3 SE +/- 255.82, N = 3 SE +/- 354.28, N = 3 SE +/- 158.35, N = 3 SE +/- 41.97, N = 3 SE +/- 187.85, N = 3 SE +/- 165.04, N = 3 SE +/- 41.05, N = 3 SE +/- 320.60, N = 3 SE +/- 219.56, N = 3 SE +/- 168.25, N = 3 SE +/- 196.12, N = 3 SE +/- 103.64, N = 3 SE +/- 531.97, N = 3 SE +/- 115.80, N = 3 59491 59153 59225 88107 109127 93454 117512 126717 146157 138345 148225 131671 148700 160177 159162 197631 201155 79963 134174 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 30K 60K 90K 120K 150K Min: 59213 / Avg: 59491.33 / Max: 59636 Min: 58585 / Avg: 59153 / Max: 59470 Min: 59125 / Avg: 59225.33 / Max: 59295 Min: 87677 / Avg: 88106.67 / Max: 88530 Min: 108974 / Avg: 109126.67 / Max: 109256 Min: 93197 / Avg: 93453.67 / Max: 93741 Min: 117108 / Avg: 117512.33 / Max: 117986 Min: 126014 / Avg: 126716.67 / Max: 127147 Min: 145843 / Avg: 146157.33 / Max: 146348 Min: 138265 / Avg: 138345 / Max: 138407 Min: 147909 / Avg: 148225 / Max: 148559 Min: 131343 / Avg: 131671 / Max: 131867 Min: 148644 / Avg: 148700 / Max: 148780 Min: 159540 / Avg: 160177 / Max: 160559 Min: 158791 / Avg: 159162.33 / Max: 159551 Min: 197331 / Avg: 197631 / Max: 197913 Min: 200793 / Avg: 201154.67 / Max: 201467 Min: 79785 / Avg: 79963.33 / Max: 80144 Min: 133400 / Avg: 134173.67 / Max: 135193 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 200 400 600 800 1000 SE +/- 2.64, N = 3 SE +/- 1.95, N = 3 SE +/- 1.38, N = 3 SE +/- 4.59, N = 3 SE +/- 6.61, N = 4 SE +/- 4.72, N = 7 SE +/- 1.25, N = 3 SE +/- 4.66, N = 4 SE +/- 1.75, N = 3 SE +/- 2.19, N = 3 SE +/- 1.79, N = 3 SE +/- 0.66, N = 3 SE +/- 4.26, N = 3 SE +/- 1.85, N = 3 SE +/- 0.99, N = 3 SE +/- 0.65, N = 3 SE +/- 1.34, N = 3 SE +/- 3.22, N = 3 SE +/- 1.82, N = 3 SE +/- 3.65, N = 3 799.67 772.09 702.57 553.78 454.41 419.19 365.27 327.94 311.57 286.83 299.22 293.32 279.82 252.86 251.63 238.82 240.28 624.93 342.56 294.84
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed LLVM Compilation 10.0 Time To Compile EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 140 280 420 560 700 Min: 796.13 / Avg: 799.67 / Max: 804.84 Min: 768.62 / Avg: 772.09 / Max: 775.37 Min: 699.84 / Avg: 702.57 / Max: 704.24 Min: 546.27 / Avg: 553.78 / Max: 562.1 Min: 442.12 / Avg: 454.41 / Max: 472.86 Min: 402.02 / Avg: 419.19 / Max: 433.8 Min: 362.89 / Avg: 365.27 / Max: 367.12 Min: 314.35 / Avg: 327.94 / Max: 334.31 Min: 308.32 / Avg: 311.57 / Max: 314.31 Min: 282.46 / Avg: 286.83 / Max: 289.26 Min: 296.83 / Avg: 299.22 / Max: 302.71 Min: 292.42 / Avg: 293.32 / Max: 294.62 Min: 271.29 / Avg: 279.82 / Max: 284.22 Min: 249.78 / Avg: 252.86 / Max: 256.19 Min: 249.78 / Avg: 251.63 / Max: 253.18 Min: 237.54 / Avg: 238.82 / Max: 239.66 Min: 237.84 / Avg: 240.27 / Max: 242.46 Min: 620.8 / Avg: 624.93 / Max: 631.28 Min: 339.55 / Avg: 342.56 / Max: 345.85 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 110 220 330 440 550 519.56 490.96 463.51 347.69 294.35 274.94 232.54 208.16 189.13 181.00 179.85 186.36 172.40 160.64 161.23 161.38 163.68 413.50 234.69 187.96
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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 2 4 6 8 10 SE +/- 0.002, N = 3 SE +/- 0.011, N = 3 SE +/- 0.004, N = 3 SE +/- 0.013, N = 3 SE +/- 0.006, N = 3 SE +/- 0.006, N = 3 SE +/- 0.039, N = 3 SE +/- 0.010, N = 3 SE +/- 0.021, N = 3 SE +/- 0.024, N = 3 SE +/- 0.007, N = 3 SE +/- 0.042, N = 3 SE +/- 0.038, N = 3 SE +/- 0.033, N = 3 SE +/- 0.048, N = 3 SE +/- 0.044, N = 3 SE +/- 0.075, N = 3 SE +/- 0.005, N = 3 SE +/- 0.019, N = 3 SE +/- 0.024, N = 3 2.553 2.549 2.674 3.525 4.082 4.626 5.286 6.095 6.429 6.710 6.771 6.575 7.075 7.694 7.908 8.191 7.953 3.073 5.201 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 3 6 9 12 15 Min: 2.55 / Avg: 2.55 / Max: 2.56 Min: 2.54 / Avg: 2.55 / Max: 2.57 Min: 2.67 / Avg: 2.67 / Max: 2.68 Min: 3.51 / Avg: 3.53 / Max: 3.55 Min: 4.07 / Avg: 4.08 / Max: 4.09 Min: 4.62 / Avg: 4.63 / Max: 4.64 Min: 5.22 / Avg: 5.29 / Max: 5.35 Min: 6.08 / Avg: 6.1 / Max: 6.11 Min: 6.41 / Avg: 6.43 / Max: 6.47 Min: 6.66 / Avg: 6.71 / Max: 6.74 Min: 6.76 / Avg: 6.77 / Max: 6.78 Min: 6.5 / Avg: 6.58 / Max: 6.64 Min: 7.02 / Avg: 7.07 / Max: 7.15 Min: 7.64 / Avg: 7.69 / Max: 7.75 Min: 7.85 / Avg: 7.91 / Max: 8 Min: 8.1 / Avg: 8.19 / Max: 8.24 Min: 7.8 / Avg: 7.95 / Max: 8.05 Min: 3.06 / Avg: 3.07 / Max: 3.08 Min: 5.17 / Avg: 5.2 / Max: 5.24 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 4K 8K 12K 16K 20K SE +/- 59.34, N = 3 SE +/- 61.54, N = 3 SE +/- 33.10, N = 3 SE +/- 135.36, N = 3 SE +/- 38.10, N = 3 SE +/- 29.43, N = 3 SE +/- 94.64, N = 3 SE +/- 40.62, N = 3 SE +/- 32.09, N = 3 SE +/- 14.74, N = 3 SE +/- 19.95, N = 3 SE +/- 25.22, N = 3 SE +/- 14.92, N = 3 SE +/- 41.28, N = 3 SE +/- 124.38, N = 3 SE +/- 78.70, N = 3 SE +/- 49.56, N = 3 SE +/- 23.96, N = 3 SE +/- 67.68, N = 3 SE +/- 41.62, N = 3 5237.68 8907.48 5960.35 10100.28 7481.74 10289.09 10647.64 11346.95 7605.32 7761.44 7700.23 16128.64 7802.82 10123.73 16521.40 11078.38 11015.81 6202.90 7434.42 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 3K 6K 9K 12K 15K Min: 5157.6 / Avg: 5237.68 / Max: 5353.58 Min: 8795.57 / Avg: 8907.48 / Max: 9007.82 Min: 5911.46 / Avg: 5960.35 / Max: 6023.44 Min: 9846 / Avg: 10100.28 / Max: 10307.87 Min: 7424.73 / Avg: 7481.74 / Max: 7554.04 Min: 10238.06 / Avg: 10289.09 / Max: 10340.01 Min: 10468.89 / Avg: 10647.64 / Max: 10790.93 Min: 11276.08 / Avg: 11346.95 / Max: 11416.79 Min: 7541.26 / Avg: 7605.32 / Max: 7640.63 Min: 7744.12 / Avg: 7761.44 / Max: 7790.75 Min: 7668.41 / Avg: 7700.23 / Max: 7737 Min: 16087.02 / Avg: 16128.64 / Max: 16174.13 Min: 7787.89 / Avg: 7802.82 / Max: 7832.66 Min: 10042.08 / Avg: 10123.73 / Max: 10175.2 Min: 16299.62 / Avg: 16521.4 / Max: 16729.86 Min: 10989.75 / Avg: 11078.38 / Max: 11235.33 Min: 10929.71 / Avg: 11015.81 / Max: 11101.4 Min: 6166.89 / Avg: 6202.9 / Max: 6248.29 Min: 7303.88 / Avg: 7434.42 / Max: 7530.67 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 15 30 45 60 75 SE +/- 0.07, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.13, N = 3 SE +/- 0.14, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.11, N = 3 SE +/- 0.03, N = 3 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 65.84 64.50 60.02 47.62 40.04 36.77 32.75 29.07 27.43 26.11 26.02 26.28 24.83 22.53 22.28 20.96 20.97 52.39 30.98 26.20
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed FFmpeg Compilation 4.2.2 Time To Compile EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 13 26 39 52 65 Min: 65.76 / Avg: 65.84 / Max: 65.98 Min: 64.46 / Avg: 64.5 / Max: 64.54 Min: 60 / Avg: 60.02 / Max: 60.04 Min: 47.58 / Avg: 47.62 / Max: 47.67 Min: 39.94 / Avg: 40.04 / Max: 40.18 Min: 36.55 / Avg: 36.77 / Max: 36.99 Min: 32.56 / Avg: 32.75 / Max: 33.03 Min: 29.03 / Avg: 29.07 / Max: 29.1 Min: 27.37 / Avg: 27.43 / Max: 27.47 Min: 25.93 / Avg: 26.11 / Max: 26.31 Min: 25.97 / Avg: 26.02 / Max: 26.06 Min: 26.19 / Avg: 26.28 / Max: 26.46 Min: 24.8 / Avg: 24.83 / Max: 24.89 Min: 22.46 / Avg: 22.53 / Max: 22.57 Min: 22.14 / Avg: 22.28 / Max: 22.37 Min: 20.86 / Avg: 20.96 / Max: 21.01 Min: 20.87 / Avg: 20.97 / Max: 21.12 Min: 52.34 / Avg: 52.39 / Max: 52.43 Min: 30.94 / Avg: 30.98 / Max: 31.02 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 2 4 6 8 10 SE +/- 0.02707, N = 3 SE +/- 0.04064, N = 3 SE +/- 0.01009, N = 3 SE +/- 0.02406, N = 3 SE +/- 0.05589, N = 3 SE +/- 0.04411, N = 3 SE +/- 0.02509, N = 3 SE +/- 0.01391, N = 3 SE +/- 0.00977, N = 3 SE +/- 0.00965, N = 3 SE +/- 0.02435, N = 3 SE +/- 0.03168, N = 3 SE +/- 0.00928, N = 3 SE +/- 0.01728, N = 3 SE +/- 0.00074, N = 3 SE +/- 0.03325, N = 5 SE +/- 0.03350, N = 3 SE +/- 0.02111, N = 3 SE +/- 0.02811, N = 3 SE +/- 0.00417, N = 3 7.71084 8.11390 6.98966 6.60647 6.09158 4.10317 4.31821 3.99262 3.91971 3.90825 3.86201 3.00812 3.92547 3.66187 2.61369 2.76936 3.08453 6.68499 3.41464 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 3 6 9 12 15 Min: 7.68 / Avg: 7.71 / Max: 7.76 Min: 8.06 / Avg: 8.11 / Max: 8.19 Min: 6.97 / Avg: 6.99 / Max: 7.01 Min: 6.57 / Avg: 6.61 / Max: 6.65 Min: 6.03 / Avg: 6.09 / Max: 6.2 Min: 4.02 / Avg: 4.1 / Max: 4.15 Min: 4.27 / Avg: 4.32 / Max: 4.35 Min: 3.97 / Avg: 3.99 / Max: 4.02 Min: 3.9 / Avg: 3.92 / Max: 3.94 Min: 3.9 / Avg: 3.91 / Max: 3.93 Min: 3.83 / Avg: 3.86 / Max: 3.91 Min: 2.95 / Avg: 3.01 / Max: 3.06 Min: 3.91 / Avg: 3.93 / Max: 3.94 Min: 3.63 / Avg: 3.66 / Max: 3.69 Min: 2.61 / Avg: 2.61 / Max: 2.62 Min: 2.69 / Avg: 2.77 / Max: 2.89 Min: 3.03 / Avg: 3.08 / Max: 3.15 Min: 6.64 / Avg: 6.68 / Max: 6.71 Min: 3.36 / Avg: 3.41 / Max: 3.46 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 130 260 390 520 650 SE +/- 1.08, N = 3 SE +/- 7.53, N = 9 SE +/- 0.80, N = 3 SE +/- 4.56, N = 3 SE +/- 6.71, N = 9 SE +/- 0.81, N = 3 SE +/- 3.11, N = 9 SE +/- 0.37, N = 3 SE +/- 0.49, N = 3 SE +/- 1.27, N = 3 SE +/- 1.89, N = 3 SE +/- 0.48, N = 3 SE +/- 0.64, N = 3 SE +/- 1.20, N = 3 SE +/- 0.76, N = 3 SE +/- 0.95, N = 3 SE +/- 1.62, N = 3 SE +/- 6.58, N = 3 SE +/- 0.82, N = 3 SE +/- 0.58, N = 3 463.50 604.18 433.82 465.36 288.45 274.72 291.31 212.14 212.92 200.15 204.09 206.40 201.48 228.99 210.54 227.28 265.33 499.28 233.39 194.96 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 110 220 330 440 550 Min: 461.34 / Avg: 463.5 / Max: 464.59 Min: 572.84 / Avg: 604.18 / Max: 632.97 Min: 432.32 / Avg: 433.82 / Max: 435.08 Min: 459.49 / Avg: 465.36 / Max: 474.33 Min: 278.16 / Avg: 288.45 / Max: 341.07 Min: 273.12 / Avg: 274.72 / Max: 275.73 Min: 277.74 / Avg: 291.31 / Max: 308.01 Min: 211.46 / Avg: 212.14 / Max: 212.71 Min: 211.96 / Avg: 212.92 / Max: 213.58 Min: 197.97 / Avg: 200.15 / Max: 202.38 Min: 202 / Avg: 204.09 / Max: 207.87 Min: 205.48 / Avg: 206.4 / Max: 207.09 Min: 200.38 / Avg: 201.48 / Max: 202.6 Min: 227.01 / Avg: 228.99 / Max: 231.15 Min: 209.21 / Avg: 210.54 / Max: 211.84 Min: 225.5 / Avg: 227.28 / Max: 228.76 Min: 262.49 / Avg: 265.33 / Max: 268.09 Min: 486.13 / Avg: 499.28 / Max: 505.9 Min: 232.52 / Avg: 233.39 / Max: 235.04 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 140 280 420 560 700 SE +/- 0.33, N = 3 SE +/- 0.67, N = 3 SE +/- 0.33, N = 3 SE +/- 0.58, N = 3 SE +/- 1.53, N = 3 SE +/- 1.15, N = 3 SE +/- 1.00, N = 3 SE +/- 0.67, N = 3 SE +/- 0.67, N = 3 SE +/- 1.45, N = 3 SE +/- 1.76, N = 3 SE +/- 1.20, N = 3 SE +/- 0.33, N = 3 SE +/- 0.88, N = 3 214 212 225 294 356 382 432 471 507 548 545 497 539 603 588 648 632 251 419 492 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 110 220 330 440 550 Min: 211 / Avg: 211.67 / Max: 212 Min: 224 / Avg: 225.33 / Max: 226 Min: 293 / Avg: 293.67 / Max: 294 Min: 431 / Avg: 432 / Max: 433 Min: 469 / Avg: 471 / Max: 474 Min: 546 / Avg: 548 / Max: 550 Min: 543 / Avg: 545 / Max: 546 Min: 496 / Avg: 497.33 / Max: 498 Min: 538 / Avg: 539.33 / Max: 540 Min: 601 / Avg: 603.33 / Max: 606 Min: 645 / Avg: 647.67 / Max: 651 Min: 630 / Avg: 631.67 / Max: 634 Min: 418 / Avg: 418.67 / Max: 419 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 6 12 18 24 30 SE +/- 0.023, N = 3 SE +/- 0.007, N = 3 SE +/- 0.015, N = 3 SE +/- 0.016, N = 3 SE +/- 0.002, N = 3 SE +/- 0.030, N = 3 SE +/- 0.016, N = 3 SE +/- 0.020, N = 3 SE +/- 0.006, N = 3 SE +/- 0.006, N = 3 SE +/- 0.004, N = 3 SE +/- 0.018, N = 3 SE +/- 0.015, N = 3 SE +/- 0.014, N = 3 SE +/- 0.009, N = 3 SE +/- 0.006, N = 3 SE +/- 0.008, N = 3 SE +/- 0.053, N = 3 SE +/- 0.014, N = 3 SE +/- 0.002, N = 3 24.758 24.972 22.699 18.688 15.297 14.043 11.955 10.630 9.989 9.410 9.417 9.593 8.954 8.697 8.666 8.189 8.356 21.365 12.411 9.558
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Y-Cruncher 0.7.8.9503 Calculating 500M Pi Digits EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 6 12 18 24 30 Min: 24.72 / Avg: 24.76 / Max: 24.8 Min: 24.97 / Avg: 24.97 / Max: 24.99 Min: 22.68 / Avg: 22.7 / Max: 22.73 Min: 18.67 / Avg: 18.69 / Max: 18.72 Min: 15.29 / Avg: 15.3 / Max: 15.3 Min: 13.98 / Avg: 14.04 / Max: 14.07 Min: 11.93 / Avg: 11.96 / Max: 11.99 Min: 10.59 / Avg: 10.63 / Max: 10.66 Min: 9.98 / Avg: 9.99 / Max: 10 Min: 9.4 / Avg: 9.41 / Max: 9.42 Min: 9.41 / Avg: 9.42 / Max: 9.42 Min: 9.57 / Avg: 9.59 / Max: 9.63 Min: 8.94 / Avg: 8.95 / Max: 8.98 Min: 8.67 / Avg: 8.7 / Max: 8.72 Min: 8.65 / Avg: 8.67 / Max: 8.68 Min: 8.18 / Avg: 8.19 / Max: 8.2 Min: 8.35 / Avg: 8.36 / Max: 8.37 Min: 21.29 / Avg: 21.37 / Max: 21.47 Min: 12.4 / Avg: 12.41 / Max: 12.44 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 9 18 27 36 45 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 40.08 40.71 38.32 29.84 24.53 23.73 20.54 18.38 17.22 16.49 16.50 16.90 15.78 14.42 14.31 13.37 13.50 33.35 20.03 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 8 16 24 32 40 Min: 40.02 / Avg: 40.08 / Max: 40.19 Min: 40.67 / Avg: 40.71 / Max: 40.8 Min: 38.3 / Avg: 38.32 / Max: 38.35 Min: 29.81 / Avg: 29.84 / Max: 29.87 Min: 24.5 / Avg: 24.53 / Max: 24.55 Min: 23.7 / Avg: 23.73 / Max: 23.74 Min: 20.5 / Avg: 20.54 / Max: 20.56 Min: 18.34 / Avg: 18.38 / Max: 18.4 Min: 17.21 / Avg: 17.22 / Max: 17.23 Min: 16.48 / Avg: 16.49 / Max: 16.5 Min: 16.5 / Avg: 16.5 / Max: 16.51 Min: 16.87 / Avg: 16.9 / Max: 16.92 Min: 15.75 / Avg: 15.78 / Max: 15.83 Min: 14.38 / Avg: 14.42 / Max: 14.46 Min: 14.28 / Avg: 14.31 / Max: 14.35 Min: 13.37 / Avg: 13.37 / Max: 13.38 Min: 13.48 / Avg: 13.5 / Max: 13.52 Min: 33.34 / Avg: 33.35 / Max: 33.36 Min: 20.02 / Avg: 20.03 / Max: 20.05 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 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 +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, 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 +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 4.34 4.38 4.63 5.79 7.70 8.19 8.34 9.24 11.25 11.98 12.08 11.50 12.59 12.64 12.83 13.16 12.45 5.30 9.62 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Slow EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 4 8 12 16 20 Min: 4.33 / Avg: 4.34 / Max: 4.35 Min: 4.37 / Avg: 4.38 / Max: 4.38 Min: 4.62 / Avg: 4.63 / Max: 4.63 Min: 5.79 / Avg: 5.79 / Max: 5.8 Min: 7.68 / Avg: 7.7 / Max: 7.72 Min: 8.17 / Avg: 8.19 / Max: 8.21 Min: 8.33 / Avg: 8.34 / Max: 8.34 Min: 9.22 / Avg: 9.24 / Max: 9.25 Min: 11.24 / Avg: 11.25 / Max: 11.27 Min: 11.94 / Avg: 11.98 / Max: 12.02 Min: 12.06 / Avg: 12.08 / Max: 12.1 Min: 11.49 / Avg: 11.5 / Max: 11.51 Min: 12.58 / Avg: 12.59 / Max: 12.6 Min: 12.59 / Avg: 12.64 / Max: 12.67 Min: 12.81 / Avg: 12.83 / Max: 12.86 Min: 13.12 / Avg: 13.16 / Max: 13.18 Min: 12.42 / Avg: 12.45 / Max: 12.49 Min: 5.28 / Avg: 5.3 / Max: 5.31 Min: 9.61 / Avg: 9.62 / Max: 9.63 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
Result
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Medium EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 3 6 9 12 15 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 +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, 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 4.41 4.46 4.71 5.91 7.84 8.34 8.51 9.37 11.44 12.22 12.24 11.70 12.83 12.80 13.04 13.35 12.63 5.41 9.78 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Medium EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 4 8 12 16 20 Min: 4.41 / Avg: 4.41 / Max: 4.42 Min: 4.45 / Avg: 4.46 / Max: 4.47 Min: 4.7 / Avg: 4.71 / Max: 4.72 Min: 5.9 / Avg: 5.91 / Max: 5.91 Min: 7.81 / Avg: 7.84 / Max: 7.86 Min: 8.31 / Avg: 8.34 / Max: 8.36 Min: 8.5 / Avg: 8.51 / Max: 8.51 Min: 9.34 / Avg: 9.37 / Max: 9.4 Min: 11.41 / Avg: 11.44 / Max: 11.45 Min: 12.2 / Avg: 12.22 / Max: 12.24 Min: 12.21 / Avg: 12.24 / Max: 12.26 Min: 11.68 / Avg: 11.7 / Max: 11.71 Min: 12.82 / Avg: 12.83 / Max: 12.84 Min: 12.76 / Avg: 12.8 / Max: 12.85 Min: 13.02 / Avg: 13.04 / Max: 13.05 Min: 13.34 / Avg: 13.35 / Max: 13.38 Min: 12.62 / Avg: 12.63 / Max: 12.63 Min: 5.4 / Avg: 5.41 / Max: 5.42 Min: 9.77 / Avg: 9.78 / Max: 9.81 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 0.7973 1.5946 2.3919 3.1892 3.9865 SE +/- 0.01156, N = 3 SE +/- 0.00803, N = 3 SE +/- 0.01144, N = 3 SE +/- 0.02463, N = 3 SE +/- 0.00586, N = 3 SE +/- 0.00075, N = 3 SE +/- 0.01559, N = 3 SE +/- 0.01782, N = 3 SE +/- 0.00983, N = 3 SE +/- 0.01607, N = 3 SE +/- 0.00299, N = 3 SE +/- 0.01751, N = 5 SE +/- 0.00451, N = 3 SE +/- 0.01138, N = 3 SE +/- 0.01158, N = 3 SE +/- 0.01389, N = 3 SE +/- 0.03257, N = 3 SE +/- 0.01854, N = 3 SE +/- 0.00098, N = 3 SE +/- 0.00044, N = 3 3.52616 3.54349 3.16012 2.64623 1.81722 1.71797 1.74833 1.52009 1.37066 1.22438 1.17917 1.30689 1.17179 2.28719 2.18140 2.67161 2.96316 2.99726 1.49718 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 2 4 6 8 10 Min: 3.51 / Avg: 3.53 / Max: 3.55 Min: 3.53 / Avg: 3.54 / Max: 3.56 Min: 3.14 / Avg: 3.16 / Max: 3.18 Min: 2.62 / Avg: 2.65 / Max: 2.7 Min: 1.81 / Avg: 1.82 / Max: 1.83 Min: 1.72 / Avg: 1.72 / Max: 1.72 Min: 1.72 / Avg: 1.75 / Max: 1.78 Min: 1.49 / Avg: 1.52 / Max: 1.55 Min: 1.35 / Avg: 1.37 / Max: 1.38 Min: 1.19 / Avg: 1.22 / Max: 1.25 Min: 1.17 / Avg: 1.18 / Max: 1.18 Min: 1.28 / Avg: 1.31 / Max: 1.38 Min: 1.17 / Avg: 1.17 / Max: 1.18 Min: 2.27 / Avg: 2.29 / Max: 2.31 Min: 2.16 / Avg: 2.18 / Max: 2.2 Min: 2.64 / Avg: 2.67 / Max: 2.69 Min: 2.9 / Avg: 2.96 / Max: 3.01 Min: 2.98 / Avg: 3 / Max: 3.03 Min: 1.5 / Avg: 1.5 / Max: 1.5 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 14 28 42 56 70 62.97 58.26 55.58 59.08 58.54 57.12 60.38 56.73 56.48 56.55 56.92 45.33 56.03 54.09 34.89 32.97 33.11 51.00 50.45 20.97
OSPray Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific visualizations. OSPray builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: Magnetic Reconnection - Renderer: Path Tracer EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 70 140 210 280 350 SE +/- 0.00, N = 15 SE +/- 0.00, N = 15 SE +/- 0.00, N = 15 SE +/- 0.00, N = 12 SE +/- 9.36, N = 12 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 SE +/- 4.54, N = 15 111.11 111.11 111.11 166.67 200.00 200.00 250.00 250.00 250.00 250.00 250.00 250.00 319.44 333.33 333.33 333.33 333.33 125.00 243.00 250.00
Result Confidence
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: Magnetic Reconnection - Renderer: Path Tracer EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 60 120 180 240 300 Min: 111.11 / Avg: 111.11 / Max: 111.11 Min: 111.11 / Avg: 111.11 / Max: 111.11 Min: 111.11 / Avg: 111.11 / Max: 111.11 Min: 166.67 / Avg: 166.67 / Max: 166.67 Min: 250 / Avg: 319.44 / Max: 333.33 Min: 333.33 / Avg: 333.33 / Max: 333.33 Min: 333.33 / Avg: 333.33 / Max: 333.33 Min: 333.33 / Avg: 333.33 / Max: 333.33 Min: 333.33 / Avg: 333.33 / Max: 333.33 Min: 200 / Avg: 243.33 / Max: 250
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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 40 80 120 160 200 SE +/- 1.26, N = 3 SE +/- 1.77, N = 3 SE +/- 3.20, N = 3 SE +/- 1.31, N = 3 SE +/- 0.72, N = 3 SE +/- 1.77, N = 3 SE +/- 0.34, N = 3 SE +/- 1.36, N = 3 SE +/- 0.64, N = 3 SE +/- 1.21, N = 3 SE +/- 1.00, N = 3 SE +/- 0.28, N = 3 SE +/- 0.83, N = 3 SE +/- 1.11, N = 3 SE +/- 0.89, N = 5 SE +/- 0.73, N = 7 SE +/- 0.37, N = 3 SE +/- 2.84, N = 3 SE +/- 1.42, N = 3 SE +/- 0.24, N = 3 186.60 191.40 193.75 133.27 103.64 112.44 90.57 82.57 76.33 70.38 69.77 84.19 67.57 65.39 67.48 65.13 69.08 171.15 127.78 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 40 80 120 160 200 Min: 185.16 / Avg: 186.59 / Max: 189.11 Min: 187.94 / Avg: 191.4 / Max: 193.8 Min: 187.36 / Avg: 193.75 / Max: 197.04 Min: 130.66 / Avg: 133.27 / Max: 134.78 Min: 102.22 / Avg: 103.64 / Max: 104.57 Min: 108.9 / Avg: 112.44 / Max: 114.31 Min: 90.16 / Avg: 90.57 / Max: 91.26 Min: 80.22 / Avg: 82.57 / Max: 84.93 Min: 75.06 / Avg: 76.33 / Max: 77.02 Min: 67.97 / Avg: 70.38 / Max: 71.8 Min: 68.75 / Avg: 69.77 / Max: 71.77 Min: 83.84 / Avg: 84.19 / Max: 84.75 Min: 65.98 / Avg: 67.57 / Max: 68.77 Min: 63.33 / Avg: 65.39 / Max: 67.14 Min: 64.99 / Avg: 67.48 / Max: 69.65 Min: 61.91 / Avg: 65.13 / Max: 67.08 Min: 68.68 / Avg: 69.08 / Max: 69.82 Min: 167.3 / Avg: 171.15 / Max: 176.69 Min: 125.05 / Avg: 127.78 / Max: 129.85 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 1.4M 2.8M 4.2M 5.6M 7M SE +/- 3427.00, N = 3 SE +/- 6821.32, N = 3 SE +/- 9065.81, N = 3 SE +/- 4275.20, N = 3 SE +/- 4822.94, N = 3 SE +/- 15658.57, N = 3 SE +/- 74928.50, N = 3 SE +/- 12295.11, N = 3 SE +/- 10150.69, N = 3 SE +/- 11686.42, N = 3 SE +/- 1381.63, N = 3 SE +/- 3392.60, N = 3 SE +/- 1352.61, N = 3 SE +/- 2161.64, N = 3 SE +/- 10391.88, N = 3 SE +/- 11017.89, N = 3 SE +/- 4550.43, N = 3 SE +/- 1809.82, N = 3 SE +/- 8758.84, N = 3 SE +/- 11987.30, N = 3 2140186 2195652 2247000 3228017 4070067 4271821 5195397 5371013 5532974 5522472 5568287 6307291 5550661 6164612 6324546 6231095 6215179 2378481 4585335 5843383 1. (CC) gcc options: -std=gnu99 -fopenmp -O3 -lm
Result Confidence
OpenBenchmarking.org Lookups/s, More Is Better Xsbench 2017-07-06 EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 1.1M 2.2M 3.3M 4.4M 5.5M Min: 2134305 / Avg: 2140185.67 / Max: 2146175 Min: 2186761 / Avg: 2195652.33 / Max: 2209059 Min: 2230117 / Avg: 2246999.67 / Max: 2261168 Min: 3223580 / Avg: 3228016.67 / Max: 3236565 Min: 4060974 / Avg: 4070067 / Max: 4077401 Min: 4240519 / Avg: 4271821 / Max: 4288315 Min: 5045873 / Avg: 5195397 / Max: 5278806 Min: 5346542 / Avg: 5371013 / Max: 5385343 Min: 5521561 / Avg: 5532974.33 / Max: 5553221 Min: 5499170 / Avg: 5522471.67 / Max: 5535701 Min: 5566364 / Avg: 5568287 / Max: 5570967 Min: 6301349 / Avg: 6307291.33 / Max: 6313099 Min: 5548140 / Avg: 5550661.33 / Max: 5552771 Min: 6161836 / Avg: 6164611.67 / Max: 6168870 Min: 6311937 / Avg: 6324546 / Max: 6345159 Min: 6213281 / Avg: 6231095.33 / Max: 6251235 Min: 6208570 / Avg: 6215179 / Max: 6223902 Min: 2375572 / Avg: 2378481.33 / Max: 2381801 Min: 4568020 / Avg: 4585334.67 / Max: 4596295 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 400 800 1200 1600 2000 SE +/- 2.33, N = 3 SE +/- 1.53, N = 3 SE +/- 1.86, N = 3 SE +/- 3.33, N = 3 SE +/- 1.00, N = 3 SE +/- 3.61, N = 3 SE +/- 6.08, N = 3 SE +/- 13.45, N = 3 SE +/- 9.67, N = 3 SE +/- 13.35, N = 3 SE +/- 28.17, N = 3 SE +/- 10.58, N = 3 SE +/- 16.76, N = 3 SE +/- 19.81, N = 15 SE +/- 25.93, N = 15 SE +/- 13.30, N = 15 SE +/- 2.08, N = 3 SE +/- 5.00, N = 3 SE +/- 3.76, N = 3 675 768 776 1021 1194 1404 1495 1664 1744 1845 1945 1805 1957 1657 1664 975 741 878 1599 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 300 600 900 1200 1500 Min: 671 / Avg: 675.33 / Max: 679 Min: 766 / Avg: 768 / Max: 771 Min: 774 / Avg: 776.33 / Max: 780 Min: 1191 / Avg: 1194.33 / Max: 1201 Min: 1402 / Avg: 1404 / Max: 1405 Min: 1488 / Avg: 1495 / Max: 1500 Min: 1654 / Avg: 1664 / Max: 1675 Min: 1728 / Avg: 1744.33 / Max: 1771 Min: 1835 / Avg: 1844.67 / Max: 1864 Min: 1923 / Avg: 1944.67 / Max: 1969 Min: 1749 / Avg: 1804.67 / Max: 1840 Min: 1941 / Avg: 1957 / Max: 1977 Min: 1625 / Avg: 1656.67 / Max: 1682 Min: 1535 / Avg: 1663.87 / Max: 1807 Min: 802 / Avg: 974.87 / Max: 1155 Min: 658 / Avg: 740.67 / Max: 849 Min: 875 / Avg: 878 / Max: 882 Min: 1594 / Avg: 1599 / Max: 1609 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 50K 100K 150K 200K 250K SE +/- 894.92, N = 3 SE +/- 2446.09, N = 3 SE +/- 2475.55, N = 3 SE +/- 1339.85, N = 3 SE +/- 552.61, N = 3 SE +/- 548.31, N = 3 SE +/- 404.73, N = 3 SE +/- 233.28, N = 3 SE +/- 411.16, N = 3 SE +/- 1070.25, N = 6 SE +/- 1088.69, N = 3 SE +/- 101.95, N = 3 SE +/- 672.62, N = 15 SE +/- 440.36, N = 3 SE +/- 194.61, N = 3 SE +/- 457.90, N = 3 SE +/- 1020.34, N = 3 SE +/- 933.85, N = 3 SE +/- 67.65, N = 3 SE +/- 517.53, N = 3 213852.0 239227.0 218108.0 194837.0 150797.0 147770.0 123038.0 106140.0 96229.2 88852.0 85985.3 100961.0 83541.0 92446.9 89518.2 88189.3 124043.0 187285.0 127726.0 102435.0
Result Confidence
OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: NASNet Mobile EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 40K 80K 120K 160K 200K Min: 212521 / Avg: 213852.33 / Max: 215554 Min: 235037 / Avg: 239226.67 / Max: 243509 Min: 215543 / Avg: 218108 / Max: 223058 Min: 192157 / Avg: 194836.67 / Max: 196187 Min: 150189 / Avg: 150796.67 / Max: 151900 Min: 147190 / Avg: 147770 / Max: 148866 Min: 122592 / Avg: 123038 / Max: 123846 Min: 105676 / Avg: 106140.33 / Max: 106412 Min: 95408.3 / Avg: 96229.23 / Max: 96681.1 Min: 85098.3 / Avg: 88851.98 / Max: 91485.1 Min: 84090 / Avg: 85985.27 / Max: 87861.2 Min: 100793 / Avg: 100960.67 / Max: 101145 Min: 79803.3 / Avg: 83541.04 / Max: 88828.7 Min: 91614 / Avg: 92446.87 / Max: 93111.3 Min: 89280.7 / Avg: 89518.2 / Max: 89904 Min: 87277.5 / Avg: 88189.3 / Max: 88719.3 Min: 122075 / Avg: 124042.67 / Max: 125495 Min: 185504 / Avg: 187284.67 / Max: 188663 Min: 127593 / Avg: 127725.67 / Max: 127815 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 200 400 600 800 1000 SE +/- 1.15, N = 3 SE +/- 0.93, N = 3 SE +/- 0.72, N = 3 SE +/- 0.52, N = 3 SE +/- 0.93, N = 3 SE +/- 3.78, N = 3 SE +/- 7.21, N = 3 SE +/- 8.62, N = 3 SE +/- 5.12, N = 3 SE +/- 2.26, N = 3 SE +/- 3.81, N = 3 SE +/- 4.59, N = 3 SE +/- 3.71, N = 3 SE +/- 7.28, N = 3 SE +/- 8.34, N = 15 SE +/- 2.19, N = 3 SE +/- 4.75, N = 3 SE +/- 0.46, N = 3 SE +/- 1.41, N = 3 SE +/- 3.68, N = 3 335.86 313.26 316.48 418.94 573.75 562.70 601.42 722.39 835.18 855.91 857.35 734.97 854.03 876.16 851.38 861.61 710.07 346.00 593.00 768.16 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 150 300 450 600 750 Min: 334.12 / Avg: 335.86 / Max: 338.03 Min: 311.97 / Avg: 313.26 / Max: 315.06 Min: 315.07 / Avg: 316.48 / Max: 317.43 Min: 418.01 / Avg: 418.94 / Max: 419.82 Min: 572.74 / Avg: 573.75 / Max: 575.61 Min: 555.16 / Avg: 562.7 / Max: 566.8 Min: 589.76 / Avg: 601.42 / Max: 614.59 Min: 706.02 / Avg: 722.39 / Max: 735.24 Min: 826.38 / Avg: 835.18 / Max: 844.1 Min: 851.43 / Avg: 855.91 / Max: 858.66 Min: 849.83 / Avg: 857.35 / Max: 862.22 Min: 727.27 / Avg: 734.97 / Max: 743.16 Min: 846.67 / Avg: 854.03 / Max: 858.59 Min: 864.6 / Avg: 876.16 / Max: 889.6 Min: 820.21 / Avg: 851.38 / Max: 945 Min: 857.78 / Avg: 861.61 / Max: 865.35 Min: 701.61 / Avg: 710.07 / Max: 718.03 Min: 345.39 / Avg: 346 / Max: 346.9 Min: 590.18 / Avg: 593 / Max: 594.5 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 6 12 18 24 30 SE +/- 0.08, N = 3 SE +/- 0.08, N = 3 SE +/- 0.09, N = 9 SE +/- 0.06, 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 +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 SE +/- 0.12, N = 3 SE +/- 0.06, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 8.39 8.65 8.80 15.92 18.55 18.80 20.06 21.38 21.72 22.07 22.28 21.52 23.10 23.43 22.96 22.85 22.11 9.96 20.63 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better x265 3.4 Video Input: Bosphorus 4K EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 5 10 15 20 25 Min: 8.24 / Avg: 8.39 / Max: 8.53 Min: 8.5 / Avg: 8.65 / Max: 8.76 Min: 8.46 / Avg: 8.8 / Max: 9.28 Min: 15.8 / Avg: 15.92 / Max: 16.02 Min: 18.51 / Avg: 18.55 / Max: 18.58 Min: 18.74 / Avg: 18.8 / Max: 18.89 Min: 20.04 / Avg: 20.06 / Max: 20.07 Min: 21.34 / Avg: 21.38 / Max: 21.41 Min: 21.69 / Avg: 21.72 / Max: 21.76 Min: 22.01 / Avg: 22.07 / Max: 22.13 Min: 22.25 / Avg: 22.28 / Max: 22.3 Min: 21.49 / Avg: 21.52 / Max: 21.55 Min: 23.03 / Avg: 23.1 / Max: 23.2 Min: 23.32 / Avg: 23.43 / Max: 23.57 Min: 22.73 / Avg: 22.96 / Max: 23.08 Min: 22.78 / Avg: 22.85 / Max: 22.97 Min: 22.05 / Avg: 22.11 / Max: 22.22 Min: 9.95 / Avg: 9.96 / Max: 9.98 Min: 20.56 / Avg: 20.63 / Max: 20.74 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 200K 400K 600K 800K 1000K SE +/- 4574.26, N = 3 SE +/- 7046.75, N = 3 SE +/- 6337.53, N = 3 SE +/- 8602.32, N = 3 SE +/- 2819.70, N = 3 SE +/- 9257.15, N = 3 SE +/- 4423.99, N = 3 SE +/- 4315.53, N = 3 SE +/- 346.34, N = 3 SE +/- 920.11, N = 3 SE +/- 416.48, N = 3 SE +/- 1164.99, N = 3 SE +/- 40675.14, N = 15 SE +/- 161.22, N = 3 SE +/- 202.26, N = 3 SE +/- 386.83, N = 3 SE +/- 320.44, N = 3 SE +/- 5220.90, N = 8 SE +/- 1524.48, N = 3 SE +/- 6259.81, N = 11 464241 469574 456675 574354 640966 627525 673423 787488 335316 328810 358699 283541 674066 310241 284086 298290 297390 506118 590994 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 140K 280K 420K 560K 700K Min: 459420 / Avg: 464241 / Max: 473385 Min: 461485 / Avg: 469573.67 / Max: 483613 Min: 448311 / Avg: 456675.33 / Max: 469105 Min: 558593 / Avg: 574353.67 / Max: 588209 Min: 635510 / Avg: 640965.67 / Max: 644930 Min: 609012 / Avg: 627525 / Max: 636971 Min: 664708 / Avg: 673423 / Max: 679104 Min: 778964 / Avg: 787487.67 / Max: 792925 Min: 334741 / Avg: 335316 / Max: 335938 Min: 327023 / Avg: 328810 / Max: 330084 Min: 357882 / Avg: 358698.67 / Max: 359249 Min: 282294 / Avg: 283541 / Max: 285869 Min: 381485 / Avg: 674066.47 / Max: 841490 Min: 310045 / Avg: 310241.33 / Max: 310561 Min: 283684 / Avg: 284086 / Max: 284326 Min: 297519 / Avg: 298290.33 / Max: 298728 Min: 297028 / Avg: 297390 / Max: 298029 Min: 481898 / Avg: 506117.63 / Max: 523042 Min: 588002 / Avg: 590994.33 / Max: 592997 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 12 24 36 48 60 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.08, N = 3 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.11, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.10, N = 3 SE +/- 0.09, N = 3 SE +/- 0.02, N = 3 SE +/- 0.09, N = 3 SE +/- 0.04, N = 3 SE +/- 0.08, N = 3 18.97 19.08 20.03 21.67 28.31 29.30 28.14 30.60 30.36 30.77 30.79 30.11 31.94 44.71 45.08 51.19 48.68 23.16 34.75 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: Medium EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 10 20 30 40 50 Min: 18.96 / Avg: 18.97 / Max: 18.98 Min: 19.05 / Avg: 19.08 / Max: 19.1 Min: 19.98 / Avg: 20.03 / Max: 20.05 Min: 21.62 / Avg: 21.67 / Max: 21.76 Min: 28.2 / Avg: 28.31 / Max: 28.39 Min: 29.22 / Avg: 29.3 / Max: 29.46 Min: 28.04 / Avg: 28.14 / Max: 28.26 Min: 30.52 / Avg: 30.6 / Max: 30.67 Min: 30.21 / Avg: 30.36 / Max: 30.58 Min: 30.69 / Avg: 30.77 / Max: 30.84 Min: 30.69 / Avg: 30.79 / Max: 30.85 Min: 30.01 / Avg: 30.11 / Max: 30.19 Min: 31.87 / Avg: 31.94 / Max: 31.99 Min: 44.52 / Avg: 44.71 / Max: 44.88 Min: 44.9 / Avg: 45.08 / Max: 45.18 Min: 51.16 / Avg: 51.19 / Max: 51.24 Min: 48.49 / Avg: 48.68 / Max: 48.79 Min: 23.11 / Avg: 23.16 / Max: 23.24 Min: 34.58 / Avg: 34.75 / Max: 34.85 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 4M 8M 12M 16M 20M SE +/- 65857.23, N = 3 SE +/- 69777.45, N = 3 SE +/- 114237.77, N = 3 SE +/- 38085.55, N = 3 SE +/- 17504.90, N = 3 SE +/- 162466.69, N = 3 SE +/- 28849.95, N = 3 SE +/- 36622.92, N = 3 SE +/- 68594.59, N = 3 SE +/- 32302.81, N = 3 SE +/- 15756.34, N = 3 SE +/- 181654.19, N = 3 SE +/- 31948.05, N = 3 SE +/- 39273.11, N = 3 SE +/- 82031.38, N = 3 SE +/- 8693.64, N = 3 SE +/- 23882.84, N = 3 SE +/- 98081.03, N = 4 SE +/- 92644.45, N = 10 SE +/- 196361.88, N = 3 8164377.04 8377375.75 6754401.34 11819767.35 13739556.11 10809670.89 12882446.44 13675041.19 15441087.32 15730105.77 15763728.21 12736083.57 15672529.45 16692287.18 16073708.79 18193151.02 17265800.06 7202954.68 10221764.78 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 3M 6M 9M 12M 15M Min: 8077208.27 / Avg: 8164377.04 / Max: 8293475.93 Min: 8238743.75 / Avg: 8377375.75 / Max: 8460568.05 Min: 6580428.23 / Avg: 6754401.34 / Max: 6969648.65 Min: 11764168.15 / Avg: 11819767.35 / Max: 11892656.58 Min: 13706010.75 / Avg: 13739556.11 / Max: 13765006.16 Min: 10514108.1 / Avg: 10809670.89 / Max: 11074363.58 Min: 12828493.76 / Avg: 12882446.44 / Max: 12927136.91 Min: 13605012.44 / Avg: 13675041.19 / Max: 13728648.43 Min: 15342013.8 / Avg: 15441087.32 / Max: 15572806.7 Min: 15674170.83 / Avg: 15730105.77 / Max: 15786071.05 Min: 15739230.05 / Avg: 15763728.21 / Max: 15793143.16 Min: 12401795.36 / Avg: 12736083.57 / Max: 13026448.11 Min: 15611649.68 / Avg: 15672529.45 / Max: 15719770.35 Min: 16641022.42 / Avg: 16692287.18 / Max: 16769456.69 Min: 15946178.31 / Avg: 16073708.79 / Max: 16226857.62 Min: 18175867.8 / Avg: 18193151.02 / Max: 18203437.54 Min: 17223160.56 / Avg: 17265800.06 / Max: 17305763.18 Min: 7034313.05 / Avg: 7202954.68 / Max: 7486487.21 Min: 9589426.86 / Avg: 10221764.78 / Max: 10670115.37 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 11 22 33 44 55 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.07, N = 3 SE +/- 0.08, N = 3 SE +/- 0.09, N = 3 SE +/- 0.09, N = 3 SE +/- 0.11, N = 3 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.07, N = 3 SE +/- 0.24, N = 3 SE +/- 0.07, N = 3 SE +/- 0.16, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 18.53 18.66 19.57 21.08 27.54 28.57 27.59 29.73 29.74 29.97 29.99 29.54 31.27 43.98 44.54 49.80 47.41 22.67 34.03 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Slow EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 10 20 30 40 50 Min: 18.5 / Avg: 18.53 / Max: 18.57 Min: 18.61 / Avg: 18.66 / Max: 18.69 Min: 19.54 / Avg: 19.57 / Max: 19.6 Min: 21.06 / Avg: 21.08 / Max: 21.11 Min: 27.47 / Avg: 27.54 / Max: 27.66 Min: 28.43 / Avg: 28.57 / Max: 28.66 Min: 27.43 / Avg: 27.59 / Max: 27.68 Min: 29.56 / Avg: 29.73 / Max: 29.85 Min: 29.56 / Avg: 29.74 / Max: 29.85 Min: 29.8 / Avg: 29.97 / Max: 30.19 Min: 29.88 / Avg: 29.99 / Max: 30.06 Min: 29.47 / Avg: 29.54 / Max: 29.59 Min: 31.18 / Avg: 31.27 / Max: 31.41 Min: 43.56 / Avg: 43.98 / Max: 44.38 Min: 44.44 / Avg: 44.54 / Max: 44.67 Min: 49.51 / Avg: 49.8 / Max: 50.07 Min: 47.35 / Avg: 47.41 / Max: 47.45 Min: 22.59 / Avg: 22.67 / Max: 22.72 Min: 33.98 / Avg: 34.03 / Max: 34.08 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 150K 300K 450K 600K 750K SE +/- 3588.14, N = 3 SE +/- 1807.12, N = 3 SE +/- 1554.64, N = 3 SE +/- 1413.92, N = 3 SE +/- 5123.67, N = 15 SE +/- 7847.93, N = 3 SE +/- 10655.38, N = 3 SE +/- 9550.05, N = 3 SE +/- 1199.71, N = 3 SE +/- 310.98, N = 3 SE +/- 1228.44, N = 3 SE +/- 2603.10, N = 10 SE +/- 705.84, N = 3 SE +/- 205.06, N = 3 SE +/- 410.21, N = 3 SE +/- 624.03, N = 3 SE +/- 693.28, N = 3 SE +/- 827.11, N = 3 SE +/- 6470.90, N = 15 SE +/- 9089.41, N = 3 422947 433814 425849 535050 627896 585939 654062 717525 321871 318064 345292 276010 367451 305816 275661 307654 289090 463786 580827 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 120K 240K 360K 480K 600K Min: 418463 / Avg: 422946.67 / Max: 430041 Min: 431309 / Avg: 433814.33 / Max: 437323 Min: 423929 / Avg: 425849 / Max: 428927 Min: 532574 / Avg: 535050.33 / Max: 537471 Min: 603579 / Avg: 627896.27 / Max: 685131 Min: 576271 / Avg: 585938.67 / Max: 601481 Min: 632768 / Avg: 654062 / Max: 665441 Min: 705450 / Avg: 717525.33 / Max: 736379 Min: 320633 / Avg: 321871 / Max: 324270 Min: 317495 / Avg: 318064 / Max: 318566 Min: 343235 / Avg: 345292 / Max: 347484 Min: 269185 / Avg: 276009.6 / Max: 288606 Min: 366463 / Avg: 367450.67 / Max: 368818 Min: 305412 / Avg: 305816.33 / Max: 306078 Min: 274953 / Avg: 275661.33 / Max: 276374 Min: 306827 / Avg: 307654 / Max: 308877 Min: 287733 / Avg: 289089.67 / Max: 290016 Min: 462912 / Avg: 463785.67 / Max: 465439 Min: 542172 / Avg: 580827.13 / Max: 616282 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 5 10 15 20 25 SE +/- 0.098, N = 3 SE +/- 0.062, N = 3 SE +/- 0.012, N = 3 SE +/- 0.080, N = 3 SE +/- 0.093, N = 3 SE +/- 0.225, N = 15 SE +/- 0.011, N = 3 SE +/- 0.033, N = 3 SE +/- 0.003, N = 3 SE +/- 0.010, N = 3 SE +/- 0.243, N = 12 SE +/- 0.423, N = 15 SE +/- 0.023, N = 3 SE +/- 0.038, N = 3 SE +/- 0.008, N = 3 SE +/- 0.018, N = 3 SE +/- 0.008, N = 3 SE +/- 0.028, N = 3 SE +/- 0.215, N = 3 SE +/- 0.078, N = 3 18.871 19.044 20.129 15.471 13.495 14.751 13.752 13.439 12.750 12.631 12.391 14.081 12.672 12.138 13.241 11.090 7.859 18.899 17.374 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 5 10 15 20 25 Min: 18.73 / Avg: 18.87 / Max: 19.06 Min: 18.92 / Avg: 19.04 / Max: 19.11 Min: 20.11 / Avg: 20.13 / Max: 20.15 Min: 15.31 / Avg: 15.47 / Max: 15.56 Min: 13.39 / Avg: 13.5 / Max: 13.68 Min: 12.55 / Avg: 14.75 / Max: 15.22 Min: 13.74 / Avg: 13.75 / Max: 13.77 Min: 13.4 / Avg: 13.44 / Max: 13.5 Min: 12.74 / Avg: 12.75 / Max: 12.75 Min: 12.62 / Avg: 12.63 / Max: 12.65 Min: 9.72 / Avg: 12.39 / Max: 12.67 Min: 10.76 / Avg: 14.08 / Max: 14.97 Min: 12.64 / Avg: 12.67 / Max: 12.72 Min: 12.06 / Avg: 12.14 / Max: 12.18 Min: 13.23 / Avg: 13.24 / Max: 13.26 Min: 11.05 / Avg: 11.09 / Max: 11.12 Min: 7.85 / Avg: 7.86 / Max: 7.87 Min: 18.84 / Avg: 18.9 / Max: 18.93 Min: 16.95 / Avg: 17.37 / Max: 17.59 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 20 40 60 80 100 SE +/- 0.10, N = 3 SE +/- 0.01, N = 3 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.17, N = 3 SE +/- 0.21, N = 3 SE +/- 0.16, N = 3 SE +/- 0.05, N = 3 SE +/- 0.20, N = 3 SE +/- 0.09, N = 3 SE +/- 0.21, N = 3 SE +/- 0.19, N = 3 SE +/- 0.33, N = 3 SE +/- 0.21, N = 3 SE +/- 0.12, N = 3 SE +/- 0.34, N = 3 SE +/- 0.41, N = 3 SE +/- 0.09, N = 3 SE +/- 0.27, N = 3 43.20 43.46 44.95 46.93 61.84 62.00 60.11 65.37 61.50 62.73 62.57 61.32 66.17 96.32 98.47 109.17 107.99 52.60 67.24 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 1080p - Video Preset: Very Fast EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 20 40 60 80 100 Min: 43.05 / Avg: 43.2 / Max: 43.38 Min: 43.44 / Avg: 43.46 / Max: 43.48 Min: 44.86 / Avg: 44.95 / Max: 45.09 Min: 46.83 / Avg: 46.93 / Max: 46.99 Min: 61.65 / Avg: 61.84 / Max: 62.19 Min: 61.62 / Avg: 62 / Max: 62.36 Min: 59.79 / Avg: 60.11 / Max: 60.31 Min: 65.28 / Avg: 65.37 / Max: 65.44 Min: 61.15 / Avg: 61.5 / Max: 61.83 Min: 62.6 / Avg: 62.73 / Max: 62.91 Min: 62.36 / Avg: 62.57 / Max: 62.98 Min: 60.96 / Avg: 61.32 / Max: 61.6 Min: 65.63 / Avg: 66.17 / Max: 66.76 Min: 96.05 / Avg: 96.32 / Max: 96.73 Min: 98.24 / Avg: 98.47 / Max: 98.62 Min: 108.49 / Avg: 109.17 / Max: 109.57 Min: 107.18 / Avg: 107.99 / Max: 108.5 Min: 52.46 / Avg: 52.6 / Max: 52.77 Min: 66.7 / Avg: 67.24 / Max: 67.55 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
x264 This is a simple test of the x264 encoder run on the CPU (OpenCL support disabled) with a sample video file. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better x264 2019-12-17 H.264 Video Encoding EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 40 80 120 160 200 SE +/- 0.41, N = 3 SE +/- 0.38, N = 3 SE +/- 1.00, N = 3 SE +/- 1.66, N = 3 SE +/- 1.76, N = 3 SE +/- 1.17, N = 3 SE +/- 0.99, N = 3 SE +/- 2.39, N = 3 SE +/- 1.97, N = 3 SE +/- 2.18, N = 3 SE +/- 1.50, N = 3 SE +/- 1.38, N = 3 SE +/- 2.67, N = 3 SE +/- 1.03, N = 3 SE +/- 2.06, N = 3 SE +/- 1.79, N = 3 SE +/- 2.22, N = 3 SE +/- 0.70, N = 3 SE +/- 2.17, N = 3 SE +/- 1.33, N = 3 71.60 71.66 77.48 105.52 118.48 126.75 137.58 150.81 143.59 144.44 145.72 144.57 159.20 144.71 148.99 141.18 140.35 89.29 158.53 177.12 1. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -ffast-math -std=gnu99 -fPIC -fomit-frame-pointer -fno-tree-vectorize
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better x264 2019-12-17 H.264 Video Encoding EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 30 60 90 120 150 Min: 70.79 / Avg: 71.6 / Max: 72.07 Min: 70.9 / Avg: 71.66 / Max: 72.05 Min: 75.5 / Avg: 77.48 / Max: 78.71 Min: 102.21 / Avg: 105.52 / Max: 107.38 Min: 114.97 / Avg: 118.48 / Max: 120.28 Min: 124.48 / Avg: 126.75 / Max: 128.36 Min: 135.61 / Avg: 137.58 / Max: 138.59 Min: 146.07 / Avg: 150.81 / Max: 153.76 Min: 140.36 / Avg: 143.59 / Max: 147.17 Min: 140.1 / Avg: 144.44 / Max: 146.97 Min: 142.97 / Avg: 145.72 / Max: 148.13 Min: 141.86 / Avg: 144.57 / Max: 146.42 Min: 153.88 / Avg: 159.2 / Max: 162.17 Min: 142.68 / Avg: 144.71 / Max: 145.98 Min: 145.83 / Avg: 148.99 / Max: 152.86 Min: 137.66 / Avg: 141.18 / Max: 143.49 Min: 135.93 / Avg: 140.35 / Max: 143 Min: 88.14 / Avg: 89.29 / Max: 90.57 Min: 154.64 / Avg: 158.53 / Max: 162.16 Min: 174.45 / Avg: 177.12 / Max: 178.56 1. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -ffast-math -std=gnu99 -fPIC -fomit-frame-pointer -fno-tree-vectorize
Kvazaar This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Ultra Fast EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 40 80 120 160 200 SE +/- 0.19, N = 3 SE +/- 0.36, N = 3 SE +/- 0.15, N = 3 SE +/- 0.33, N = 3 SE +/- 0.51, N = 3 SE +/- 0.22, N = 3 SE +/- 0.21, N = 3 SE +/- 0.17, N = 3 SE +/- 0.04, N = 3 SE +/- 0.21, N = 3 SE +/- 0.17, N = 3 SE +/- 0.40, N = 3 SE +/- 0.28, N = 3 SE +/- 1.18, N = 3 SE +/- 0.42, N = 3 SE +/- 1.31, N = 3 SE +/- 1.40, N = 3 SE +/- 0.59, N = 3 SE +/- 0.51, N = 3 77.76 78.65 79.82 86.94 107.66 105.75 109.29 117.43 115.55 118.13 118.75 113.40 124.64 170.06 171.94 191.27 189.55 93.41 104.22 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Ultra Fast EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 40 80 120 160 200 Min: 77.38 / Avg: 77.76 / Max: 77.98 Min: 78.25 / Avg: 78.65 / Max: 79.37 Min: 79.53 / Avg: 79.82 / Max: 80.04 Min: 86.56 / Avg: 86.94 / Max: 87.6 Min: 106.77 / Avg: 107.66 / Max: 108.55 Min: 105.49 / Avg: 105.75 / Max: 106.19 Min: 108.92 / Avg: 109.29 / Max: 109.66 Min: 117.12 / Avg: 117.43 / Max: 117.72 Min: 115.5 / Avg: 115.55 / Max: 115.63 Min: 117.77 / Avg: 118.13 / Max: 118.5 Min: 118.41 / Avg: 118.75 / Max: 118.92 Min: 112.95 / Avg: 113.4 / Max: 114.21 Min: 124.22 / Avg: 124.64 / Max: 125.16 Min: 167.84 / Avg: 170.06 / Max: 171.84 Min: 171.12 / Avg: 171.94 / Max: 172.47 Min: 189.77 / Avg: 191.27 / Max: 193.89 Min: 187.98 / Avg: 189.55 / Max: 192.35 Min: 92.24 / Avg: 93.41 / Max: 94.08 Min: 103.22 / Avg: 104.22 / Max: 104.87 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 200 400 600 800 1000 SE +/- 0.74, N = 3 SE +/- 1.03, N = 3 SE +/- 0.17, N = 3 SE +/- 0.96, N = 3 SE +/- 1.22, N = 3 SE +/- 0.52, N = 3 SE +/- 0.04, N = 3 SE +/- 0.30, N = 3 SE +/- 0.56, N = 3 SE +/- 0.51, N = 3 SE +/- 0.10, N = 3 SE +/- 1.30, N = 3 SE +/- 0.23, N = 3 SE +/- 0.94, N = 3 SE +/- 0.40, N = 3 SE +/- 1.72, N = 3 SE +/- 0.42, N = 3 SE +/- 0.38, N = 3 SE +/- 0.53, N = 3 SE +/- 0.34, N = 3 442.13 442.25 402.93 600.90 695.56 649.31 707.49 739.98 823.81 833.75 840.30 792.81 836.01 872.77 858.84 986.80 983.70 435.36 644.30 746.29 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 200 400 600 800 1000 Min: 441.37 / Avg: 442.13 / Max: 443.6 Min: 440.2 / Avg: 442.25 / Max: 443.38 Min: 402.6 / Avg: 402.93 / Max: 403.13 Min: 599.4 / Avg: 600.9 / Max: 602.68 Min: 693.24 / Avg: 695.56 / Max: 697.37 Min: 648.31 / Avg: 649.31 / Max: 650.07 Min: 707.4 / Avg: 707.49 / Max: 707.54 Min: 739.39 / Avg: 739.98 / Max: 740.39 Min: 823.23 / Avg: 823.81 / Max: 824.93 Min: 832.87 / Avg: 833.75 / Max: 834.62 Min: 840.11 / Avg: 840.3 / Max: 840.42 Min: 790.21 / Avg: 792.81 / Max: 794.15 Min: 835.58 / Avg: 836.01 / Max: 836.35 Min: 870.9 / Avg: 872.77 / Max: 873.71 Min: 858.1 / Avg: 858.84 / Max: 859.49 Min: 983.37 / Avg: 986.8 / Max: 988.57 Min: 983.26 / Avg: 983.7 / Max: 984.54 Min: 434.92 / Avg: 435.36 / Max: 436.11 Min: 643.63 / Avg: 644.3 / Max: 645.36 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 1200 2400 3600 4800 6000 SE +/- 15.38, N = 15 SE +/- 21.10, N = 15 SE +/- 21.26, N = 15 SE +/- 24.67, N = 3 SE +/- 7.84, N = 15 SE +/- 34.25, N = 3 SE +/- 22.72, N = 3 SE +/- 0.00, N = 3 SE +/- 6.40, N = 15 SE +/- 24.25, N = 3 SE +/- 9.17, N = 15 SE +/- 56.08, N = 15 SE +/- 11.78, N = 15 SE +/- 17.18, N = 15 SE +/- 50.20, N = 2 SE +/- 95.65, N = 3 SE +/- 71.03, N = 3 SE +/- 25.93, N = 15 SE +/- 0.00, N = 3 SE +/- 27.80, N = 3 2210.52 2287.55 2350.73 2735.95 2859.17 3974.56 4249.01 4294.45 4355.46 4389.10 4413.35 4815.11 4394.11 4853.63 5170.51 5400.50 5291.74 2552.56 4754.57 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 900 1800 2700 3600 4500 Min: 2080.12 / Avg: 2210.52 / Max: 2256.41 Min: 2182.43 / Avg: 2287.55 / Max: 2377.29 Min: 2130.05 / Avg: 2350.73 / Max: 2511.85 Min: 2689.45 / Avg: 2735.95 / Max: 2773.5 Min: 2802.69 / Avg: 2859.17 / Max: 2894.09 Min: 3915.53 / Avg: 3974.56 / Max: 4034.18 Min: 4226.29 / Avg: 4249.01 / Max: 4294.45 Min: 4294.45 / Avg: 4294.45 / Max: 4294.45 Min: 4294.45 / Avg: 4355.46 / Max: 4364.85 Min: 4364.85 / Avg: 4389.1 / Max: 4437.6 Min: 4364.85 / Avg: 4413.35 / Max: 4437.6 Min: 4512.81 / Avg: 4815.11 / Max: 5220.71 Min: 4294.45 / Avg: 4394.11 / Max: 4437.6 Min: 4754.57 / Avg: 4853.63 / Max: 5023.7 Min: 5120.31 / Avg: 5170.51 / Max: 5220.71 Min: 5220.71 / Avg: 5400.5 / Max: 5547 Min: 5220.71 / Avg: 5291.74 / Max: 5433.8 Min: 2315.27 / Avg: 2552.56 / Max: 2689.45 Min: 4754.57 / Avg: 4754.57 / Max: 4754.57 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 1.3392 2.6784 4.0176 5.3568 6.696 SE +/- 0.017, N = 3 SE +/- 0.032, N = 3 SE +/- 0.015, N = 3 SE +/- 0.010, N = 3 SE +/- 0.006, N = 3 SE +/- 0.006, N = 3 SE +/- 0.018, N = 3 SE +/- 0.005, N = 3 SE +/- 0.023, N = 3 SE +/- 0.005, N = 3 SE +/- 0.015, N = 3 SE +/- 0.013, N = 3 SE +/- 0.020, N = 3 SE +/- 0.041, N = 15 SE +/- 0.043, N = 3 SE +/- 0.042, N = 4 SE +/- 0.032, N = 3 SE +/- 0.015, N = 3 SE +/- 0.008, N = 3 SE +/- 0.014, N = 3 5.917 5.952 5.326 4.428 3.540 3.292 2.981 2.699 2.554 2.486 2.503 2.607 2.438 2.805 2.891 3.216 3.190 4.820 2.907 2.612
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Darktable 3.2.1 Test: Masskrug - Acceleration: CPU-only EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 2 4 6 8 10 Min: 5.88 / Avg: 5.92 / Max: 5.94 Min: 5.9 / Avg: 5.95 / Max: 6.01 Min: 5.3 / Avg: 5.33 / Max: 5.35 Min: 4.42 / Avg: 4.43 / Max: 4.45 Min: 3.53 / Avg: 3.54 / Max: 3.55 Min: 3.28 / Avg: 3.29 / Max: 3.3 Min: 2.95 / Avg: 2.98 / Max: 3.01 Min: 2.69 / Avg: 2.7 / Max: 2.71 Min: 2.52 / Avg: 2.55 / Max: 2.6 Min: 2.48 / Avg: 2.49 / Max: 2.5 Min: 2.47 / Avg: 2.5 / Max: 2.52 Min: 2.58 / Avg: 2.61 / Max: 2.63 Min: 2.4 / Avg: 2.44 / Max: 2.47 Min: 2.39 / Avg: 2.8 / Max: 2.98 Min: 2.82 / Avg: 2.89 / Max: 2.97 Min: 3.11 / Avg: 3.22 / Max: 3.31 Min: 3.13 / Avg: 3.19 / Max: 3.24 Min: 4.8 / Avg: 4.82 / Max: 4.85 Min: 2.89 / Avg: 2.91 / Max: 2.92 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 8K 16K 24K 32K 40K SE +/- 70.19, N = 3 SE +/- 24.14, N = 3 SE +/- 68.03, N = 3 SE +/- 17.13, N = 3 SE +/- 98.09, N = 3 SE +/- 133.31, N = 3 SE +/- 40.52, N = 3 SE +/- 54.68, N = 3 SE +/- 257.54, N = 3 SE +/- 45.88, N = 3 SE +/- 119.40, N = 3 SE +/- 9.77, N = 3 SE +/- 187.07, N = 3 SE +/- 75.81, N = 3 SE +/- 343.06, N = 3 SE +/- 52.77, N = 3 SE +/- 92.56, N = 3 SE +/- 41.67, N = 3 SE +/- 120.60, N = 3 SE +/- 13.41, N = 3 15804 16485 16021 22972 29493 24697 32751 33686 33447 36967 36999 32539 38540 36572 35249 34785 36550 17707 23954 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 7K 14K 21K 28K 35K Min: 15702.99 / Avg: 15804.25 / Max: 15939.08 Min: 16444.32 / Avg: 16485.32 / Max: 16527.91 Min: 15905.97 / Avg: 16020.62 / Max: 16141.4 Min: 22941.92 / Avg: 22971.81 / Max: 23001.27 Min: 29298.25 / Avg: 29493.13 / Max: 29610.16 Min: 24473.27 / Avg: 24696.63 / Max: 24934.4 Min: 32695.26 / Avg: 32751.07 / Max: 32829.86 Min: 33587.24 / Avg: 33686.48 / Max: 33775.91 Min: 32935.76 / Avg: 33446.85 / Max: 33757.82 Min: 36896.39 / Avg: 36967.35 / Max: 37053.21 Min: 36803.87 / Avg: 36998.77 / Max: 37215.73 Min: 32528.13 / Avg: 32539.44 / Max: 32558.9 Min: 38166.46 / Avg: 38540.36 / Max: 38739.15 Min: 36488.4 / Avg: 36572 / Max: 36723.35 Min: 34574.19 / Avg: 35248.66 / Max: 35694.91 Min: 34688.51 / Avg: 34784.98 / Max: 34870.28 Min: 36387.68 / Avg: 36550.04 / Max: 36708.24 Min: 17626.81 / Avg: 17707.46 / Max: 17765.95 Min: 23803.1 / Avg: 23954.31 / Max: 24192.65 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 4 8 12 16 20 SE +/- 0.070, N = 3 SE +/- 0.022, N = 3 SE +/- 0.066, N = 3 SE +/- 0.008, N = 3 SE +/- 0.028, N = 3 SE +/- 0.055, N = 3 SE +/- 0.010, N = 3 SE +/- 0.012, N = 3 SE +/- 0.058, N = 3 SE +/- 0.009, N = 3 SE +/- 0.021, N = 3 SE +/- 0.003, N = 3 SE +/- 0.032, N = 3 SE +/- 0.014, N = 3 SE +/- 0.069, N = 3 SE +/- 0.011, N = 3 SE +/- 0.020, N = 3 SE +/- 0.034, N = 3 SE +/- 0.052, N = 3 SE +/- 0.003, N = 3 15.827 15.173 15.614 10.892 8.484 10.131 7.643 7.430 7.488 6.772 6.767 7.695 6.497 6.851 7.109 7.209 6.865 14.125 10.444 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 4 8 12 16 20 Min: 15.69 / Avg: 15.83 / Max: 15.93 Min: 15.13 / Avg: 15.17 / Max: 15.21 Min: 15.5 / Avg: 15.61 / Max: 15.73 Min: 10.88 / Avg: 10.89 / Max: 10.91 Min: 8.45 / Avg: 8.48 / Max: 8.54 Min: 10.03 / Avg: 10.13 / Max: 10.22 Min: 7.62 / Avg: 7.64 / Max: 7.66 Min: 7.41 / Avg: 7.43 / Max: 7.45 Min: 7.42 / Avg: 7.49 / Max: 7.6 Min: 6.76 / Avg: 6.77 / Max: 6.79 Min: 6.73 / Avg: 6.77 / Max: 6.8 Min: 7.69 / Avg: 7.7 / Max: 7.7 Min: 6.46 / Avg: 6.5 / Max: 6.56 Min: 6.82 / Avg: 6.85 / Max: 6.87 Min: 7.02 / Avg: 7.11 / Max: 7.25 Min: 7.19 / Avg: 7.21 / Max: 7.23 Min: 6.83 / Avg: 6.86 / Max: 6.9 Min: 14.08 / Avg: 14.13 / Max: 14.19 Min: 10.34 / Avg: 10.44 / Max: 10.51 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 1300 2600 3900 5200 6500 SE +/- 3.23, N = 3 SE +/- 76.22, N = 3 SE +/- 147.42, N = 3 SE +/- 70.26, N = 3 SE +/- 15.72, N = 3 SE +/- 166.01, N = 3 SE +/- 142.43, N = 4 SE +/- 13.87, N = 3 SE +/- 6.91, N = 3 SE +/- 7.19, N = 3 SE +/- 2.65, N = 3 SE +/- 117.70, N = 3 SE +/- 2.64, N = 3 SE +/- 7.17, N = 3 SE +/- 12.21, N = 3 SE +/- 5.26, N = 3 SE +/- 22.10, N = 3 SE +/- 30.75, N = 3 SE +/- 2.32, N = 3 SE +/- 31.25, N = 3 2442.73 2412.70 2630.66 2754.89 2830.80 4506.35 4910.75 5113.55 5047.53 5045.53 5055.50 5859.29 5052.50 5616.08 5876.05 5793.43 5610.49 2868.76 5445.37 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 1000 2000 3000 4000 5000 Min: 2437.13 / Avg: 2442.73 / Max: 2448.33 Min: 2261.2 / Avg: 2412.7 / Max: 2502.99 Min: 2351.05 / Avg: 2630.66 / Max: 2851.47 Min: 2614.63 / Avg: 2754.89 / Max: 2832.51 Min: 2808.24 / Avg: 2830.8 / Max: 2861.04 Min: 4184.77 / Avg: 4506.35 / Max: 4738.71 Min: 4484.31 / Avg: 4910.75 / Max: 5067.52 Min: 5095.81 / Avg: 5113.55 / Max: 5140.9 Min: 5035.57 / Avg: 5047.53 / Max: 5059.5 Min: 5035.57 / Avg: 5045.53 / Max: 5059.5 Min: 5050.5 / Avg: 5055.5 / Max: 5059.5 Min: 5623.89 / Avg: 5859.29 / Max: 5979.08 Min: 5047.51 / Avg: 5052.5 / Max: 5056.49 Min: 5602.93 / Avg: 5616.08 / Max: 5627.6 Min: 5862.52 / Avg: 5876.05 / Max: 5900.41 Min: 5788.17 / Avg: 5793.43 / Max: 5803.95 Min: 5566.93 / Avg: 5610.49 / Max: 5638.78 Min: 2832.51 / Avg: 2868.76 / Max: 2929.91 Min: 5440.74 / Avg: 5445.37 / Max: 5447.69 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 5 10 15 20 25 SE +/- 0.038, N = 3 SE +/- 0.135, N = 3 SE +/- 0.057, N = 3 SE +/- 0.329, N = 3 SE +/- 0.173, N = 15 SE +/- 0.035, N = 3 SE +/- 0.266, N = 15 SE +/- 0.017, N = 3 SE +/- 0.026, N = 3 SE +/- 0.056, N = 3 SE +/- 0.012, N = 3 SE +/- 0.012, N = 3 SE +/- 0.052, N = 3 SE +/- 0.119, N = 15 SE +/- 0.011, N = 3 SE +/- 0.023, N = 3 SE +/- 0.272, N = 15 SE +/- 0.226, N = 15 SE +/- 0.009, N = 3 SE +/- 0.111, N = 3 15.589 18.435 19.211 20.041 18.764 16.977 19.380 15.179 14.798 14.693 14.680 10.974 14.658 12.806 9.245 8.985 12.012 21.323 14.211 14.571 1. (CXX) g++ options: -O2 -lOpenCL
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP Streamcluster EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 5 10 15 20 25 Min: 15.51 / Avg: 15.59 / Max: 15.64 Min: 18.26 / Avg: 18.44 / Max: 18.7 Min: 19.14 / Avg: 19.21 / Max: 19.33 Min: 19.54 / Avg: 20.04 / Max: 20.66 Min: 18.11 / Avg: 18.76 / Max: 19.48 Min: 16.93 / Avg: 16.98 / Max: 17.05 Min: 18.7 / Avg: 19.38 / Max: 22.24 Min: 15.15 / Avg: 15.18 / Max: 15.21 Min: 14.76 / Avg: 14.8 / Max: 14.85 Min: 14.61 / Avg: 14.69 / Max: 14.8 Min: 14.66 / Avg: 14.68 / Max: 14.7 Min: 10.95 / Avg: 10.97 / Max: 10.99 Min: 14.57 / Avg: 14.66 / Max: 14.75 Min: 12.04 / Avg: 12.81 / Max: 13.6 Min: 9.23 / Avg: 9.25 / Max: 9.27 Min: 8.94 / Avg: 8.98 / Max: 9.01 Min: 10.44 / Avg: 12.01 / Max: 13.11 Min: 19.39 / Avg: 21.32 / Max: 22.56 Min: 14.2 / Avg: 14.21 / Max: 14.23 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 60 120 180 240 300 SE +/- 0.29, N = 3 SE +/- 1.26, N = 3 SE +/- 0.26, N = 3 SE +/- 3.20, N = 3 SE +/- 2.12, N = 3 SE +/- 0.30, N = 3 SE +/- 0.93, N = 3 SE +/- 1.03, N = 3 SE +/- 1.02, N = 3 SE +/- 0.62, N = 3 SE +/- 0.63, N = 3 SE +/- 0.34, N = 3 SE +/- 0.95, N = 3 SE +/- 2.07, N = 3 SE +/- 0.62, N = 3 SE +/- 0.45, N = 3 SE +/- 0.38, N = 3 SE +/- 1.11, N = 3 SE +/- 0.51, N = 3 SE +/- 0.92, N = 3 197.39 255.55 271.93 225.57 245.55 265.82 256.78 263.94 263.27 258.33 273.56 125.68 267.59 263.36 267.49 266.92 269.74 281.48 289.84 287.93 1. (CC) gcc options: -lm
Result Confidence
OpenBenchmarking.org Mflops, More Is Better SciMark 2.0 Computational Test: Fast Fourier Transform EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 50 100 150 200 250 Min: 196.97 / Avg: 197.39 / Max: 197.94 Min: 254.12 / Avg: 255.55 / Max: 258.06 Min: 271.61 / Avg: 271.93 / Max: 272.45 Min: 220.35 / Avg: 225.57 / Max: 231.38 Min: 243.33 / Avg: 245.55 / Max: 249.8 Min: 265.45 / Avg: 265.82 / Max: 266.42 Min: 255.43 / Avg: 256.78 / Max: 258.56 Min: 261.91 / Avg: 263.94 / Max: 265.28 Min: 261.23 / Avg: 263.27 / Max: 264.46 Min: 257.32 / Avg: 258.33 / Max: 259.45 Min: 272.31 / Avg: 273.56 / Max: 274.3 Min: 125.2 / Avg: 125.68 / Max: 126.33 Min: 265.75 / Avg: 267.59 / Max: 268.88 Min: 259.32 / Avg: 263.36 / Max: 266.17 Min: 266.28 / Avg: 267.49 / Max: 268.29 Min: 266.17 / Avg: 266.92 / Max: 267.72 Min: 268.99 / Avg: 269.74 / Max: 270.17 Min: 280 / Avg: 281.48 / Max: 283.66 Min: 289.05 / Avg: 289.84 / Max: 290.78 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 10 20 30 40 50 SE +/- 0.19, N = 4 SE +/- 0.15, N = 15 SE +/- 0.35, N = 3 SE +/- 0.21, N = 3 SE +/- 0.14, N = 3 SE +/- 0.25, N = 3 SE +/- 0.32, N = 15 SE +/- 0.03, N = 3 SE +/- 0.32, N = 3 SE +/- 0.84, N = 12 SE +/- 0.29, N = 3 SE +/- 0.93, N = 3 SE +/- 0.23, N = 8 SE +/- 0.37, N = 3 SE +/- 0.40, N = 3 SE +/- 0.84, N = 3 SE +/- 0.62, N = 3 SE +/- 0.30, N = 3 SE +/- 0.18, N = 10 SE +/- 0.07, N = 3 23.35 22.73 22.35 21.86 19.24 22.01 26.52 20.50 22.38 24.30 22.04 24.85 22.30 25.88 27.78 31.74 44.29 20.29 20.04 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 9 18 27 36 45 Min: 22.8 / Avg: 23.35 / Max: 23.65 Min: 21.95 / Avg: 22.73 / Max: 23.78 Min: 21.78 / Avg: 22.35 / Max: 23 Min: 21.52 / Avg: 21.86 / Max: 22.24 Min: 19.1 / Avg: 19.24 / Max: 19.52 Min: 21.51 / Avg: 22.01 / Max: 22.31 Min: 24.47 / Avg: 26.52 / Max: 28.49 Min: 20.47 / Avg: 20.5 / Max: 20.55 Min: 22.05 / Avg: 22.38 / Max: 23.01 Min: 21.5 / Avg: 24.3 / Max: 29.46 Min: 21.47 / Avg: 22.04 / Max: 22.39 Min: 23.42 / Avg: 24.85 / Max: 26.6 Min: 21.14 / Avg: 22.3 / Max: 23.26 Min: 25.16 / Avg: 25.88 / Max: 26.41 Min: 27.05 / Avg: 27.78 / Max: 28.44 Min: 30.65 / Avg: 31.74 / Max: 33.39 Min: 43.47 / Avg: 44.29 / Max: 45.5 Min: 19.96 / Avg: 20.29 / Max: 20.89 Min: 18.68 / Avg: 20.04 / Max: 20.7 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 11 22 33 44 55 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.10, N = 3 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 SE +/- 0.10, N = 3 SE +/- 0.08, N = 3 SE +/- 0.11, N = 3 SE +/- 0.06, N = 3 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.12, N = 3 SE +/- 0.16, N = 3 SE +/- 0.10, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 21.55 21.75 22.38 28.30 34.46 35.22 31.17 33.75 41.60 42.56 42.87 40.73 45.97 46.27 46.23 48.99 48.34 25.63 38.66 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Ultra Fast EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 10 20 30 40 50 Min: 21.55 / Avg: 21.55 / Max: 21.56 Min: 21.71 / Avg: 21.75 / Max: 21.78 Min: 22.34 / Avg: 22.38 / Max: 22.41 Min: 28.15 / Avg: 28.3 / Max: 28.48 Min: 34.38 / Avg: 34.46 / Max: 34.56 Min: 35.08 / Avg: 35.22 / Max: 35.32 Min: 30.99 / Avg: 31.17 / Max: 31.33 Min: 33.59 / Avg: 33.75 / Max: 33.87 Min: 41.4 / Avg: 41.6 / Max: 41.77 Min: 42.44 / Avg: 42.56 / Max: 42.66 Min: 42.73 / Avg: 42.87 / Max: 42.94 Min: 40.64 / Avg: 40.73 / Max: 40.82 Min: 45.92 / Avg: 45.97 / Max: 46.07 Min: 46.19 / Avg: 46.27 / Max: 46.35 Min: 45.98 / Avg: 46.23 / Max: 46.37 Min: 48.71 / Avg: 48.99 / Max: 49.27 Min: 48.14 / Avg: 48.34 / Max: 48.48 Min: 25.59 / Avg: 25.63 / Max: 25.68 Min: 38.6 / Avg: 38.66 / Max: 38.77 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 1100 2200 3300 4400 5500 SE +/- 31.33, N = 5 SE +/- 11.13, N = 3 SE +/- 67.60, N = 15 SE +/- 30.67, N = 15 SE +/- 3.21, N = 3 SE +/- 38.78, N = 3 SE +/- 28.11, N = 15 SE +/- 7.59, N = 3 SE +/- 0.54, N = 3 SE +/- 1.96, N = 3 SE +/- 0.54, N = 3 SE +/- 28.28, N = 3 SE +/- 2.17, N = 3 SE +/- 0.85, N = 3 SE +/- 3.26, N = 3 SE +/- 5.99, N = 3 SE +/- 15.31, N = 3 SE +/- 37.28, N = 15 SE +/- 12.56, N = 3 SE +/- 0.00, N = 3 2379.01 2330.58 3091.42 2265.27 2431.57 4014.66 3504.37 3845.65 3722.77 3726.03 3724.95 4424.90 3724.95 4345.56 4533.09 4522.41 4420.44 3174.57 5134.77 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 900 1800 2700 3600 4500 Min: 2254.02 / Avg: 2379.01 / Max: 2415.02 Min: 2312.76 / Avg: 2330.58 / Max: 2351.05 Min: 2488.37 / Avg: 3091.42 / Max: 3413.54 Min: 2038.97 / Avg: 2265.27 / Max: 2480.65 Min: 2426.02 / Avg: 2431.57 / Max: 2437.13 Min: 3937.24 / Avg: 4014.66 / Max: 4057.23 Min: 3304.11 / Avg: 3504.37 / Max: 3672.5 Min: 3831.02 / Avg: 3845.65 / Max: 3856.45 Min: 3722.23 / Avg: 3722.77 / Max: 3723.86 Min: 3722.23 / Avg: 3726.03 / Max: 3728.75 Min: 3723.86 / Avg: 3724.95 / Max: 3725.49 Min: 4385.07 / Avg: 4424.9 / Max: 4479.6 Min: 3720.61 / Avg: 3724.95 / Max: 3727.12 Min: 4344.08 / Avg: 4345.56 / Max: 4347.04 Min: 4527.2 / Avg: 4533.09 / Max: 4538.45 Min: 4510.42 / Avg: 4522.41 / Max: 4528.4 Min: 4399.79 / Avg: 4420.44 / Max: 4450.35 Min: 2821.26 / Avg: 3174.57 / Max: 3365 Min: 5114.16 / Avg: 5134.77 / Max: 5157.5 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 6 12 18 24 30 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.09, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 12.25 12.35 12.91 16.21 18.87 19.83 18.33 19.93 24.63 25.35 25.35 24.54 27.20 26.65 27.11 27.55 27.03 14.74 23.38 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Very Fast EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 6 12 18 24 30 Min: 12.22 / Avg: 12.25 / Max: 12.28 Min: 12.33 / Avg: 12.35 / Max: 12.39 Min: 12.89 / Avg: 12.91 / Max: 12.95 Min: 16.17 / Avg: 16.21 / Max: 16.27 Min: 18.83 / Avg: 18.87 / Max: 18.89 Min: 19.77 / Avg: 19.83 / Max: 19.86 Min: 18.3 / Avg: 18.33 / Max: 18.36 Min: 19.9 / Avg: 19.93 / Max: 19.97 Min: 24.61 / Avg: 24.63 / Max: 24.66 Min: 25.25 / Avg: 25.35 / Max: 25.42 Min: 25.28 / Avg: 25.35 / Max: 25.39 Min: 24.5 / Avg: 24.54 / Max: 24.59 Min: 27.03 / Avg: 27.2 / Max: 27.32 Min: 26.64 / Avg: 26.65 / Max: 26.67 Min: 27.05 / Avg: 27.11 / Max: 27.2 Min: 27.51 / Avg: 27.55 / Max: 27.59 Min: 26.99 / Avg: 27.03 / Max: 27.07 Min: 14.69 / Avg: 14.74 / Max: 14.77 Min: 23.33 / Avg: 23.38 / Max: 23.44 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 12 24 36 48 60 SE +/- 0.31, N = 4 SE +/- 0.16, N = 15 SE +/- 0.29, N = 3 SE +/- 0.09, N = 3 SE +/- 0.08, N = 3 SE +/- 0.09, N = 3 SE +/- 0.17, N = 15 SE +/- 0.26, N = 3 SE +/- 0.53, N = 3 SE +/- 0.95, N = 12 SE +/- 0.55, N = 3 SE +/- 0.28, N = 3 SE +/- 0.10, N = 8 SE +/- 0.29, N = 3 SE +/- 0.81, N = 3 SE +/- 0.12, N = 3 SE +/- 1.80, N = 3 SE +/- 0.13, N = 3 SE +/- 0.52, N = 10 SE +/- 0.13, N = 3 34.16 33.75 31.33 32.87 24.85 25.88 29.84 23.60 26.10 27.71 25.36 28.82 24.57 31.33 34.32 37.02 52.99 27.85 25.74 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 11 22 33 44 55 Min: 33.29 / Avg: 34.16 / Max: 34.69 Min: 32.78 / Avg: 33.75 / Max: 34.88 Min: 30.76 / Avg: 31.33 / Max: 31.64 Min: 32.76 / Avg: 32.87 / Max: 33.04 Min: 24.71 / Avg: 24.85 / Max: 24.98 Min: 25.71 / Avg: 25.88 / Max: 26.01 Min: 28.32 / Avg: 29.84 / Max: 30.59 Min: 23.25 / Avg: 23.6 / Max: 24.11 Min: 25.55 / Avg: 26.1 / Max: 27.16 Min: 24.74 / Avg: 27.71 / Max: 33.12 Min: 24.66 / Avg: 25.36 / Max: 26.45 Min: 28.28 / Avg: 28.82 / Max: 29.2 Min: 24.2 / Avg: 24.57 / Max: 25.09 Min: 30.82 / Avg: 31.33 / Max: 31.84 Min: 32.7 / Avg: 34.32 / Max: 35.25 Min: 36.81 / Avg: 37.02 / Max: 37.23 Min: 49.43 / Avg: 52.99 / Max: 55.17 Min: 27.64 / Avg: 27.85 / Max: 28.08 Min: 21.71 / Avg: 25.74 / Max: 27.13 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 0.6701 1.3402 2.0103 2.6804 3.3505 SE +/- 0.009, N = 3 SE +/- 0.001, N = 3 SE +/- 0.008, N = 3 SE +/- 0.005, N = 3 SE +/- 0.001, N = 3 SE +/- 0.004, N = 3 SE +/- 0.004, N = 3 SE +/- 0.005, N = 3 SE +/- 0.004, N = 3 SE +/- 0.006, N = 3 SE +/- 0.004, N = 3 SE +/- 0.001, N = 3 SE +/- 0.004, N = 3 SE +/- 0.006, N = 3 SE +/- 0.009, N = 3 SE +/- 0.019, N = 4 SE +/- 0.008, N = 3 SE +/- 0.005, N = 3 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 2.684 2.635 2.978 2.114 1.903 2.144 2.073 2.053 1.957 1.861 1.863 2.025 1.812 1.673 1.810 1.499 1.347 2.718 1.882 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 2 4 6 8 10 Min: 2.67 / Avg: 2.68 / Max: 2.7 Min: 2.63 / Avg: 2.63 / Max: 2.64 Min: 2.96 / Avg: 2.98 / Max: 2.99 Min: 2.11 / Avg: 2.11 / Max: 2.12 Min: 1.9 / Avg: 1.9 / Max: 1.9 Min: 2.14 / Avg: 2.14 / Max: 2.15 Min: 2.07 / Avg: 2.07 / Max: 2.08 Min: 2.05 / Avg: 2.05 / Max: 2.06 Min: 1.95 / Avg: 1.96 / Max: 1.96 Min: 1.85 / Avg: 1.86 / Max: 1.87 Min: 1.86 / Avg: 1.86 / Max: 1.87 Min: 2.02 / Avg: 2.03 / Max: 2.03 Min: 1.81 / Avg: 1.81 / Max: 1.82 Min: 1.66 / Avg: 1.67 / Max: 1.69 Min: 1.79 / Avg: 1.81 / Max: 1.82 Min: 1.45 / Avg: 1.5 / Max: 1.54 Min: 1.33 / Avg: 1.35 / Max: 1.36 Min: 2.71 / Avg: 2.72 / Max: 2.72 Min: 1.88 / Avg: 1.88 / Max: 1.89 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 0.9569 1.9138 2.8707 3.8276 4.7845 SE +/- 0.005, N = 3 SE +/- 0.011, N = 3 SE +/- 0.007, N = 3 SE +/- 0.009, N = 3 SE +/- 0.005, N = 3 SE +/- 0.003, N = 3 SE +/- 0.014, N = 3 SE +/- 0.003, N = 3 SE +/- 0.006, N = 3 SE +/- 0.022, N = 13 SE +/- 0.003, N = 3 SE +/- 0.015, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.006, N = 3 SE +/- 0.004, N = 3 SE +/- 0.016, N = 3 SE +/- 0.014, N = 3 SE +/- 0.001, N = 3 SE +/- 0.011, N = 3 4.059 4.253 4.007 3.261 2.653 2.479 2.318 2.084 2.030 1.974 1.955 2.113 1.924 1.933 2.012 1.999 2.131 3.527 2.290 2.042
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Darktable 3.2.1 Test: Server Room - Acceleration: CPU-only EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 2 4 6 8 10 Min: 4.05 / Avg: 4.06 / Max: 4.07 Min: 4.24 / Avg: 4.25 / Max: 4.27 Min: 3.99 / Avg: 4.01 / Max: 4.02 Min: 3.25 / Avg: 3.26 / Max: 3.28 Min: 2.65 / Avg: 2.65 / Max: 2.66 Min: 2.47 / Avg: 2.48 / Max: 2.48 Min: 2.3 / Avg: 2.32 / Max: 2.34 Min: 2.08 / Avg: 2.08 / Max: 2.09 Min: 2.02 / Avg: 2.03 / Max: 2.04 Min: 1.94 / Avg: 1.97 / Max: 2.24 Min: 1.95 / Avg: 1.96 / Max: 1.96 Min: 2.09 / Avg: 2.11 / Max: 2.14 Min: 1.92 / Avg: 1.92 / Max: 1.93 Min: 1.93 / Avg: 1.93 / Max: 1.94 Min: 2 / Avg: 2.01 / Max: 2.02 Min: 1.99 / Avg: 2 / Max: 2.01 Min: 2.11 / Avg: 2.13 / Max: 2.16 Min: 3.51 / Avg: 3.53 / Max: 3.55 Min: 2.29 / Avg: 2.29 / Max: 2.29 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 8K 16K 24K 32K 40K SE +/- 63.42, N = 3 SE +/- 9.83, N = 3 SE +/- 43.86, N = 3 SE +/- 55.54, N = 3 SE +/- 8.44, N = 3 SE +/- 39.29, N = 3 SE +/- 50.55, N = 3 SE +/- 61.93, N = 3 SE +/- 47.34, N = 3 SE +/- 83.99, N = 3 SE +/- 61.39, N = 3 SE +/- 9.07, N = 3 SE +/- 52.82, N = 3 SE +/- 112.34, N = 3 SE +/- 128.39, N = 3 SE +/- 433.11, N = 4 SE +/- 235.98, N = 3 SE +/- 32.81, N = 3 SE +/- 27.39, N = 3 SE +/- 26.07, N = 3 18634 18983 16795 23659 26287 23328 24128 24361 25560 26881 26847 24700 27606 29894 27640 33395 37125 18402 26575 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 6K 12K 18K 24K 30K Min: 18557.87 / Avg: 18634.35 / Max: 18760.23 Min: 18972.76 / Avg: 18983.41 / Max: 19003.05 Min: 16721.05 / Avg: 16795.5 / Max: 16872.91 Min: 23550.91 / Avg: 23658.54 / Max: 23736.16 Min: 26271.36 / Avg: 26287.44 / Max: 26299.92 Min: 23279.56 / Avg: 23328.38 / Max: 23406.12 Min: 24041.38 / Avg: 24128.48 / Max: 24216.49 Min: 24247.97 / Avg: 24360.89 / Max: 24461.41 Min: 25466.21 / Avg: 25560.04 / Max: 25617.95 Min: 26778.77 / Avg: 26881.22 / Max: 27047.74 Min: 26724.57 / Avg: 26847.3 / Max: 26911.7 Min: 24686.51 / Avg: 24700.11 / Max: 24717.31 Min: 27501.47 / Avg: 27606.4 / Max: 27669.46 Min: 29689.46 / Avg: 29894.23 / Max: 30076.7 Min: 27475.35 / Avg: 27639.96 / Max: 27892.95 Min: 32432.72 / Avg: 33395.1 / Max: 34538.91 Min: 36685.88 / Avg: 37125 / Max: 37494.37 Min: 18359.16 / Avg: 18402.47 / Max: 18466.82 Min: 26520.78 / Avg: 26575.42 / Max: 26606.09 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 0.0383 0.0766 0.1149 0.1532 0.1915 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 4 SE +/- 0.002, N = 4 SE +/- 0.001, N = 14 SE +/- 0.002, N = 12 SE +/- 0.001, N = 5 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 12 SE +/- 0.002, N = 13 SE +/- 0.014, N = 15 SE +/- 0.001, N = 4 SE +/- 0.002, N = 15 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 0.159 0.170 0.165 0.136 0.114 0.106 0.099 0.088 0.082 0.081 0.080 0.087 0.081 0.080 0.101 0.077 0.093 0.149 0.102 0.090
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Darktable 3.2.1 Test: Server Rack - Acceleration: CPU-only EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 1 2 3 4 5 Min: 0.16 / Avg: 0.16 / Max: 0.16 Min: 0.17 / Avg: 0.17 / Max: 0.17 Min: 0.16 / Avg: 0.17 / Max: 0.17 Min: 0.13 / Avg: 0.14 / Max: 0.14 Min: 0.11 / Avg: 0.11 / Max: 0.12 Min: 0.1 / Avg: 0.11 / Max: 0.12 Min: 0.09 / Avg: 0.1 / Max: 0.11 Min: 0.09 / Avg: 0.09 / Max: 0.09 Min: 0.08 / Avg: 0.08 / Max: 0.08 Min: 0.08 / Avg: 0.08 / Max: 0.08 Min: 0.08 / Avg: 0.08 / Max: 0.08 Min: 0.09 / Avg: 0.09 / Max: 0.09 Min: 0.08 / Avg: 0.08 / Max: 0.09 Min: 0.08 / Avg: 0.08 / Max: 0.1 Min: 0.08 / Avg: 0.1 / Max: 0.24 Min: 0.08 / Avg: 0.08 / Max: 0.08 Min: 0.08 / Avg: 0.09 / Max: 0.11 Min: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.1 / Avg: 0.1 / Max: 0.1 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 10 20 30 40 50 SE +/- 0.13, N = 4 SE +/- 0.15, N = 15 SE +/- 0.23, N = 3 SE +/- 0.27, N = 3 SE +/- 0.19, N = 3 SE +/- 0.36, N = 3 SE +/- 0.17, N = 15 SE +/- 0.04, N = 3 SE +/- 0.13, N = 3 SE +/- 0.67, N = 12 SE +/- 0.78, N = 3 SE +/- 0.41, N = 3 SE +/- 0.11, N = 8 SE +/- 0.52, N = 3 SE +/- 0.34, N = 3 SE +/- 2.32, N = 3 SE +/- 1.51, N = 3 SE +/- 0.08, N = 3 SE +/- 0.26, N = 10 SE +/- 0.53, N = 3 27.22 26.48 25.82 23.83 20.52 23.01 24.55 20.15 21.38 23.45 22.38 25.98 20.94 28.03 30.56 37.10 44.33 22.58 21.54 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 9 18 27 36 45 Min: 26.94 / Avg: 27.22 / Max: 27.53 Min: 25.52 / Avg: 26.48 / Max: 27.51 Min: 25.59 / Avg: 25.82 / Max: 26.28 Min: 23.56 / Avg: 23.83 / Max: 24.36 Min: 20.25 / Avg: 20.52 / Max: 20.9 Min: 22.3 / Avg: 23.01 / Max: 23.42 Min: 23.62 / Avg: 24.55 / Max: 25.7 Min: 20.07 / Avg: 20.15 / Max: 20.19 Min: 21.24 / Avg: 21.38 / Max: 21.64 Min: 21.05 / Avg: 23.45 / Max: 27.68 Min: 21.08 / Avg: 22.38 / Max: 23.78 Min: 25.17 / Avg: 25.98 / Max: 26.53 Min: 20.61 / Avg: 20.94 / Max: 21.36 Min: 27.25 / Avg: 28.03 / Max: 29.02 Min: 30.06 / Avg: 30.56 / Max: 31.22 Min: 33.91 / Avg: 37.1 / Max: 41.62 Min: 41.32 / Avg: 44.33 / Max: 45.97 Min: 22.42 / Avg: 22.58 / Max: 22.67 Min: 19.53 / Avg: 21.54 / Max: 22.71 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 2 4 6 8 10 SE +/- 0.005, N = 3 SE +/- 0.005, N = 3 SE +/- 0.074, N = 3 SE +/- 0.030, N = 3 SE +/- 0.018, N = 3 SE +/- 0.015, N = 3 SE +/- 0.014, N = 3 SE +/- 0.020, N = 3 SE +/- 0.012, N = 3 SE +/- 0.013, N = 3 SE +/- 0.019, N = 3 SE +/- 0.045, N = 3 SE +/- 0.024, N = 3 SE +/- 0.012, N = 3 SE +/- 0.012, N = 3 SE +/- 0.003, N = 3 SE +/- 0.054, N = 4 SE +/- 0.034, N = 3 SE +/- 0.013, N = 3 SE +/- 0.045, N = 3 6.767 7.276 6.456 6.347 5.503 4.105 4.432 3.720 3.796 3.701 3.725 3.741 3.648 3.481 3.311 3.410 4.050 5.695 3.602 3.700
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Darktable 3.2.1 Test: Boat - Acceleration: CPU-only EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 3 6 9 12 15 Min: 6.76 / Avg: 6.77 / Max: 6.78 Min: 7.27 / Avg: 7.28 / Max: 7.29 Min: 6.36 / Avg: 6.46 / Max: 6.6 Min: 6.3 / Avg: 6.35 / Max: 6.4 Min: 5.48 / Avg: 5.5 / Max: 5.54 Min: 4.09 / Avg: 4.11 / Max: 4.14 Min: 4.42 / Avg: 4.43 / Max: 4.46 Min: 3.68 / Avg: 3.72 / Max: 3.75 Min: 3.77 / Avg: 3.8 / Max: 3.81 Min: 3.69 / Avg: 3.7 / Max: 3.73 Min: 3.69 / Avg: 3.73 / Max: 3.76 Min: 3.69 / Avg: 3.74 / Max: 3.83 Min: 3.62 / Avg: 3.65 / Max: 3.7 Min: 3.47 / Avg: 3.48 / Max: 3.51 Min: 3.29 / Avg: 3.31 / Max: 3.33 Min: 3.41 / Avg: 3.41 / Max: 3.41 Min: 3.91 / Avg: 4.05 / Max: 4.15 Min: 5.66 / Avg: 5.69 / Max: 5.76 Min: 3.59 / Avg: 3.6 / Max: 3.63 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 4 8 12 16 20 SE +/- 0.05268, N = 3 SE +/- 0.06304, N = 3 SE +/- 0.04345, N = 3 SE +/- 0.03172, N = 3 SE +/- 0.02302, N = 3 SE +/- 0.06961, N = 3 SE +/- 0.01739, N = 3 SE +/- 0.01027, N = 3 SE +/- 0.00575, N = 3 SE +/- 0.01024, N = 3 SE +/- 0.01557, N = 3 SE +/- 0.08758, N = 3 SE +/- 0.01510, N = 3 SE +/- 0.02604, N = 3 SE +/- 0.01654, N = 3 SE +/- 0.00693, N = 3 SE +/- 0.21777, N = 3 SE +/- 0.07227, N = 3 SE +/- 0.16459, N = 3 SE +/- 0.01357, N = 3 8.69542 8.54683 13.48800 8.10890 8.94634 15.41370 11.93780 15.56040 15.11360 15.18680 15.19950 17.69020 15.12460 16.55080 17.59740 17.34760 15.78500 9.19335 17.73280 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 4 8 12 16 20 Min: 8.59 / Avg: 8.7 / Max: 8.75 Min: 8.43 / Avg: 8.55 / Max: 8.64 Min: 13.43 / Avg: 13.49 / Max: 13.57 Min: 8.07 / Avg: 8.11 / Max: 8.17 Min: 8.92 / Avg: 8.95 / Max: 8.99 Min: 15.28 / Avg: 15.41 / Max: 15.5 Min: 11.9 / Avg: 11.94 / Max: 11.96 Min: 15.54 / Avg: 15.56 / Max: 15.58 Min: 15.1 / Avg: 15.11 / Max: 15.12 Min: 15.17 / Avg: 15.19 / Max: 15.2 Min: 15.17 / Avg: 15.2 / Max: 15.23 Min: 17.54 / Avg: 17.69 / Max: 17.84 Min: 15.1 / Avg: 15.12 / Max: 15.15 Min: 16.51 / Avg: 16.55 / Max: 16.6 Min: 17.57 / Avg: 17.6 / Max: 17.63 Min: 17.34 / Avg: 17.35 / Max: 17.36 Min: 15.52 / Avg: 15.79 / Max: 16.22 Min: 9.05 / Avg: 9.19 / Max: 9.27 Min: 17.41 / Avg: 17.73 / Max: 17.96 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 9 18 27 36 45 SE +/- 0.08, N = 3 SE +/- 0.00, N = 3 SE +/- 0.40, N = 3 SE +/- 0.35, N = 3 SE +/- 0.06, N = 3 SE +/- 0.13, N = 3 SE +/- 0.09, N = 3 SE +/- 0.10, N = 3 SE +/- 0.11, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.09, N = 3 SE +/- 0.05, N = 3 SE +/- 0.20, N = 3 SE +/- 0.01, N = 3 SE +/- 0.09, N = 3 SE +/- 0.17, N = 3 SE +/- 0.19, N = 3 SE +/- 0.11, N = 3 SE +/- 0.06, N = 3 38.47 36.66 34.06 29.47 25.78 23.97 22.74 20.77 20.28 19.75 19.78 19.73 19.26 18.47 18.04 17.61 17.64 29.68 20.67 19.15
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed ImageMagick Compilation 6.9.0 Time To Compile EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 8 16 24 32 40 Min: 38.31 / Avg: 38.47 / Max: 38.59 Min: 36.66 / Avg: 36.66 / Max: 36.67 Min: 33.54 / Avg: 34.06 / Max: 34.86 Min: 28.91 / Avg: 29.47 / Max: 30.12 Min: 25.7 / Avg: 25.78 / Max: 25.91 Min: 23.81 / Avg: 23.97 / Max: 24.23 Min: 22.56 / Avg: 22.74 / Max: 22.85 Min: 20.57 / Avg: 20.77 / Max: 20.89 Min: 20.07 / Avg: 20.28 / Max: 20.43 Min: 19.69 / Avg: 19.75 / Max: 19.84 Min: 19.76 / Avg: 19.78 / Max: 19.81 Min: 19.62 / Avg: 19.73 / Max: 19.91 Min: 19.19 / Avg: 19.26 / Max: 19.36 Min: 18.09 / Avg: 18.47 / Max: 18.77 Min: 18.02 / Avg: 18.04 / Max: 18.06 Min: 17.43 / Avg: 17.61 / Max: 17.71 Min: 17.31 / Avg: 17.64 / Max: 17.81 Min: 29.37 / Avg: 29.68 / Max: 30.01 Min: 20.45 / Avg: 20.67 / Max: 20.81 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 8K 16K 24K 32K 40K SE +/- 39.46, N = 3 SE +/- 11.78, N = 3 SE +/- 42.54, N = 3 SE +/- 22.87, N = 3 SE +/- 19.61, N = 3 SE +/- 133.71, N = 3 SE +/- 120.80, N = 3 SE +/- 101.89, N = 3 SE +/- 165.61, N = 3 SE +/- 144.22, N = 3 SE +/- 88.24, N = 3 SE +/- 147.07, N = 3 SE +/- 124.58, N = 3 SE +/- 113.22, N = 3 SE +/- 31.18, N = 3 SE +/- 42.20, N = 3 SE +/- 193.77, N = 3 SE +/- 13.52, N = 3 SE +/- 103.35, N = 3 SE +/- 21.38, N = 3 16885 17712 16933 23600 29719 25340 30684 31947 30874 33948 34366 29266 35712 34328 33185 32507 34356 18564 23530 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 6K 12K 18K 24K 30K Min: 16814.19 / Avg: 16885.02 / Max: 16950.57 Min: 17699.56 / Avg: 17711.97 / Max: 17735.53 Min: 16874.5 / Avg: 16933.07 / Max: 17015.81 Min: 23558.13 / Avg: 23599.78 / Max: 23636.98 Min: 29693.76 / Avg: 29719.02 / Max: 29757.63 Min: 25137.62 / Avg: 25339.61 / Max: 25592.38 Min: 30449.94 / Avg: 30683.77 / Max: 30853.3 Min: 31756.67 / Avg: 31947.17 / Max: 32105.07 Min: 30551.36 / Avg: 30873.5 / Max: 31101.24 Min: 33659.87 / Avg: 33948.31 / Max: 34094.55 Min: 34258.42 / Avg: 34366.01 / Max: 34540.96 Min: 29102.33 / Avg: 29266.2 / Max: 29559.66 Min: 35567.36 / Avg: 35712.36 / Max: 35960.34 Min: 34126.13 / Avg: 34327.72 / Max: 34517.82 Min: 33124.22 / Avg: 33185.44 / Max: 33226.34 Min: 32448.63 / Avg: 32507.36 / Max: 32589.21 Min: 33968.85 / Avg: 34356.37 / Max: 34553.08 Min: 18540.42 / Avg: 18564.06 / Max: 18587.26 Min: 23337.98 / Avg: 23529.58 / Max: 23692.55 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 4 8 12 16 20 SE +/- 0.034, N = 3 SE +/- 0.010, N = 3 SE +/- 0.037, N = 3 SE +/- 0.010, N = 3 SE +/- 0.006, N = 3 SE +/- 0.052, N = 3 SE +/- 0.032, N = 3 SE +/- 0.025, N = 3 SE +/- 0.043, N = 3 SE +/- 0.032, N = 3 SE +/- 0.019, N = 3 SE +/- 0.043, N = 3 SE +/- 0.025, N = 3 SE +/- 0.024, N = 3 SE +/- 0.006, N = 3 SE +/- 0.008, N = 3 SE +/- 0.044, N = 3 SE +/- 0.010, N = 3 SE +/- 0.046, N = 3 SE +/- 0.005, N = 3 14.814 14.122 14.772 10.600 8.419 9.875 8.158 7.835 8.110 7.376 7.286 8.556 7.011 7.300 7.549 7.714 7.301 13.473 10.634 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 4 8 12 16 20 Min: 14.76 / Avg: 14.81 / Max: 14.88 Min: 14.1 / Avg: 14.12 / Max: 14.13 Min: 14.7 / Avg: 14.77 / Max: 14.82 Min: 10.58 / Avg: 10.6 / Max: 10.62 Min: 8.41 / Avg: 8.42 / Max: 8.43 Min: 9.78 / Avg: 9.88 / Max: 9.95 Min: 8.11 / Avg: 8.16 / Max: 8.22 Min: 7.8 / Avg: 7.84 / Max: 7.88 Min: 8.05 / Avg: 8.11 / Max: 8.19 Min: 7.34 / Avg: 7.38 / Max: 7.44 Min: 7.25 / Avg: 7.29 / Max: 7.31 Min: 8.47 / Avg: 8.56 / Max: 8.6 Min: 6.96 / Avg: 7.01 / Max: 7.04 Min: 7.26 / Avg: 7.3 / Max: 7.34 Min: 7.54 / Avg: 7.55 / Max: 7.56 Min: 7.7 / Avg: 7.71 / Max: 7.72 Min: 7.26 / Avg: 7.3 / Max: 7.39 Min: 13.46 / Avg: 13.47 / Max: 13.49 Min: 10.56 / Avg: 10.63 / Max: 10.72 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 9 18 27 36 45 SE +/- 0.09, N = 3 SE +/- 0.09, N = 3 SE +/- 0.07, N = 3 SE +/- 0.09, N = 3 SE +/- 0.09, N = 3 SE +/- 0.12, N = 3 SE +/- 0.06, N = 3 SE +/- 0.12, N = 3 SE +/- 0.03, N = 3 SE +/- 0.29, N = 3 SE +/- 0.28, N = 3 SE +/- 0.12, N = 3 SE +/- 0.10, N = 3 SE +/- 0.20, N = 3 SE +/- 0.09, N = 3 SE +/- 0.24, N = 3 SE +/- 0.12, N = 3 SE +/- 0.25, N = 3 SE +/- 0.21, N = 3 SE +/- 0.15, N = 3 18.6 20.6 22.3 24.7 27.4 31.8 32.5 35.2 35.2 36.0 36.3 34.9 36.7 36.0 35.0 34.1 33.9 24.5 35.7 39.2
Result Confidence
OpenBenchmarking.org FPS, More Is Better NeatBench 5 Acceleration: CPU EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 8 16 24 32 40 Min: 18.5 / Avg: 18.63 / Max: 18.8 Min: 20.4 / Avg: 20.57 / Max: 20.7 Min: 22.2 / Avg: 22.27 / Max: 22.4 Min: 24.5 / Avg: 24.67 / Max: 24.8 Min: 27.2 / Avg: 27.37 / Max: 27.5 Min: 31.6 / Avg: 31.77 / Max: 32 Min: 32.4 / Avg: 32.5 / Max: 32.6 Min: 35 / Avg: 35.2 / Max: 35.4 Min: 35.1 / Avg: 35.17 / Max: 35.2 Min: 35.5 / Avg: 35.97 / Max: 36.5 Min: 35.7 / Avg: 36.27 / Max: 36.6 Min: 34.7 / Avg: 34.9 / Max: 35.1 Min: 36.6 / Avg: 36.7 / Max: 36.9 Min: 35.7 / Avg: 36.03 / Max: 36.4 Min: 34.9 / Avg: 35.03 / Max: 35.2 Min: 33.8 / Avg: 34.13 / Max: 34.6 Min: 33.7 / Avg: 33.9 / Max: 34.1 Min: 24 / Avg: 24.5 / Max: 24.8 Min: 35.4 / Avg: 35.7 / Max: 36.1 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 1100 2200 3300 4400 5500 SE +/- 16.19, N = 3 SE +/- 6.19, N = 3 SE +/- 23.35, N = 3 SE +/- 12.62, N = 3 SE +/- 4.06, N = 3 SE +/- 9.01, N = 3 SE +/- 6.05, N = 3 SE +/- 4.72, N = 3 SE +/- 1.88, N = 3 SE +/- 1.78, N = 3 SE +/- 1.93, N = 3 SE +/- 6.59, N = 3 SE +/- 1.58, N = 3 SE +/- 1.32, N = 3 SE +/- 3.15, N = 3 SE +/- 2.00, N = 3 SE +/- 11.52, N = 3 SE +/- 9.91, N = 3 SE +/- 5.88, N = 3 SE +/- 3.89, N = 3 3258.14 3207.58 3067.72 3362.88 3451.64 3241.97 3939.24 3376.25 4080.51 3619.06 3600.68 3826.02 3311.76 4174.72 4182.77 4779.84 5137.70 2548.47 2665.28 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 900 1800 2700 3600 4500 Min: 3225.88 / Avg: 3258.14 / Max: 3276.8 Min: 3197.37 / Avg: 3207.58 / Max: 3218.74 Min: 3031.11 / Avg: 3067.72 / Max: 3111.13 Min: 3346.38 / Avg: 3362.88 / Max: 3387.66 Min: 3443.53 / Avg: 3451.64 / Max: 3455.81 Min: 3224.92 / Avg: 3241.97 / Max: 3255.55 Min: 3927.14 / Avg: 3939.24 / Max: 3945.37 Min: 3371.39 / Avg: 3376.25 / Max: 3385.68 Min: 4077.76 / Avg: 4080.51 / Max: 4084.12 Min: 3615.77 / Avg: 3619.06 / Max: 3621.88 Min: 3597.6 / Avg: 3600.68 / Max: 3604.23 Min: 3813.1 / Avg: 3826.02 / Max: 3834.69 Min: 3308.61 / Avg: 3311.76 / Max: 3313.54 Min: 4173.31 / Avg: 4174.72 / Max: 4177.35 Min: 4177.13 / Avg: 4182.77 / Max: 4188.04 Min: 4777.11 / Avg: 4779.84 / Max: 4783.75 Min: 5119.17 / Avg: 5137.7 / Max: 5158.83 Min: 2530.59 / Avg: 2548.47 / Max: 2564.8 Min: 2657.78 / Avg: 2665.28 / Max: 2676.87 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 1100 2200 3300 4400 5500 SE +/- 5.39, N = 3 SE +/- 8.95, N = 3 SE +/- 15.09, N = 3 SE +/- 6.01, N = 3 SE +/- 0.78, N = 3 SE +/- 4.71, N = 3 SE +/- 6.48, N = 3 SE +/- 6.01, N = 3 SE +/- 1.42, N = 3 SE +/- 1.05, N = 3 SE +/- 3.84, N = 3 SE +/- 2.37, N = 3 SE +/- 2.06, N = 3 SE +/- 3.22, N = 3 SE +/- 9.81, N = 3 SE +/- 2.34, N = 3 SE +/- 8.48, N = 3 SE +/- 12.31, N = 3 SE +/- 8.51, N = 3 SE +/- 6.36, N = 3 3230.48 3205.71 3089.44 3352.05 3447.77 3229.97 3930.30 3382.71 4075.64 3617.50 3605.38 3814.20 3310.57 4162.17 4184.58 4774.55 5139.16 2554.61 2660.52 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 900 1800 2700 3600 4500 Min: 3219.85 / Avg: 3230.48 / Max: 3237.36 Min: 3188.67 / Avg: 3205.71 / Max: 3218.97 Min: 3059.83 / Avg: 3089.44 / Max: 3109.34 Min: 3342.94 / Avg: 3352.05 / Max: 3363.39 Min: 3446.6 / Avg: 3447.77 / Max: 3449.26 Min: 3222.4 / Avg: 3229.97 / Max: 3238.62 Min: 3923.6 / Avg: 3930.3 / Max: 3943.26 Min: 3374.5 / Avg: 3382.71 / Max: 3394.41 Min: 4073.01 / Avg: 4075.64 / Max: 4077.88 Min: 3615.55 / Avg: 3617.5 / Max: 3619.16 Min: 3600.71 / Avg: 3605.38 / Max: 3612.99 Min: 3809.51 / Avg: 3814.2 / Max: 3817.18 Min: 3306.45 / Avg: 3310.57 / Max: 3312.87 Min: 4155.89 / Avg: 4162.17 / Max: 4166.55 Min: 4164.99 / Avg: 4184.58 / Max: 4195.11 Min: 4772.16 / Avg: 4774.55 / Max: 4779.24 Min: 5124.57 / Avg: 5139.16 / Max: 5153.96 Min: 2530.03 / Avg: 2554.61 / Max: 2567.91 Min: 2643.9 / Avg: 2660.52 / Max: 2672 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 200M 400M 600M 800M 1000M SE +/- 191997.00, N = 3 SE +/- 509017.81, N = 3 SE +/- 582055.48, N = 3 SE +/- 1200697.76, N = 3 SE +/- 1775182.63, N = 3 SE +/- 828548.78, N = 3 SE +/- 5582686.96, N = 4 SE +/- 7267307.29, N = 3 SE +/- 7505047.53, N = 3 SE +/- 6501806.47, N = 3 SE +/- 2320863.50, N = 3 SE +/- 6691126.83, N = 3 SE +/- 3827416.70, N = 3 SE +/- 12958817.78, N = 3 SE +/- 14142485.95, N = 4 SE +/- 14941610.79, N = 5 SE +/- 8607660.07, N = 3 SE +/- 506097.03, N = 3 SE +/- 3887259.11, N = 3 SE +/- 1557290.44, N = 3 63595537.41 83844100.09 105775501.86 131137677.35 187592330.55 244187311.27 384604006.18 424917536.89 590141135.13 628761361.90 616294829.53 735684027.48 638506395.09 903000809.74 986299971.45 1149281981.04 1123083708.67 117957703.69 326966719.16 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 200M 400M 600M 800M 1000M Min: 63314674.99 / Avg: 63595537.41 / Max: 63962741.13 Min: 82858529.24 / Avg: 83844100.09 / Max: 84557758.69 Min: 104768693.64 / Avg: 105775501.86 / Max: 106784987.65 Min: 129775143.86 / Avg: 131137677.35 / Max: 133531442.9 Min: 184309391.65 / Avg: 187592330.55 / Max: 190404506.75 Min: 243331735.41 / Avg: 244187311.27 / Max: 245844111.69 Min: 373668851.33 / Avg: 384604006.18 / Max: 394823176.17 Min: 414962112.87 / Avg: 424917536.89 / Max: 439066312.92 Min: 578590393.16 / Avg: 590141135.13 / Max: 604217860.55 Min: 620992825.66 / Avg: 628761361.9 / Max: 641676568.26 Min: 613464334.56 / Avg: 616294829.53 / Max: 620896053.44 Min: 728939655.18 / Avg: 735684027.48 / Max: 749066139.53 Min: 631017463.82 / Avg: 638506395.09 / Max: 643623554.11 Min: 887501124.56 / Avg: 903000809.74 / Max: 928739890.61 Min: 960346669.18 / Avg: 986299971.45 / Max: 1017067226.89 Min: 1124258696.24 / Avg: 1149281981.04 / Max: 1207808686.44 Min: 1108609374.59 / Avg: 1123083708.67 / Max: 1138392162.81 Min: 116945789.82 / Avg: 117957703.69 / Max: 118484284.65 Min: 319750773.34 / Avg: 326966719.16 / Max: 333080673.82 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 50 100 150 200 250 SE +/- 0.12, N = 3 SE +/- 0.11, N = 3 SE +/- 0.19, N = 3 SE +/- 0.30, N = 3 SE +/- 0.14, N = 3 SE +/- 0.07, N = 3 SE +/- 0.15, N = 3 SE +/- 0.15, N = 3 SE +/- 0.11, N = 3 SE +/- 0.21, N = 3 SE +/- 0.17, N = 3 SE +/- 0.12, N = 3 SE +/- 0.19, N = 3 SE +/- 0.50, N = 3 SE +/- 0.26, N = 3 SE +/- 0.15, N = 3 SE +/- 0.10, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 142.11 145.16 136.25 150.37 154.16 152.56 172.65 164.12 178.14 177.12 177.15 184.93 173.90 209.73 210.42 235.71 233.99 118.05 131.90 142.29 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 40 80 120 160 200 Min: 141.91 / Avg: 142.11 / Max: 142.32 Min: 144.94 / Avg: 145.16 / Max: 145.27 Min: 135.91 / Avg: 136.25 / Max: 136.57 Min: 150.06 / Avg: 150.37 / Max: 150.97 Min: 153.9 / Avg: 154.16 / Max: 154.39 Min: 152.43 / Avg: 152.56 / Max: 152.67 Min: 172.5 / Avg: 172.65 / Max: 172.96 Min: 163.95 / Avg: 164.12 / Max: 164.42 Min: 177.99 / Avg: 178.14 / Max: 178.35 Min: 176.76 / Avg: 177.12 / Max: 177.49 Min: 176.81 / Avg: 177.15 / Max: 177.32 Min: 184.68 / Avg: 184.93 / Max: 185.07 Min: 173.55 / Avg: 173.9 / Max: 174.18 Min: 209.23 / Avg: 209.73 / Max: 210.73 Min: 209.97 / Avg: 210.42 / Max: 210.89 Min: 235.48 / Avg: 235.71 / Max: 235.99 Min: 233.79 / Avg: 233.98 / Max: 234.09 Min: 117.99 / Avg: 118.05 / Max: 118.14 Min: 131.83 / Avg: 131.9 / Max: 132 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 1200 2400 3600 4800 6000 SE +/- 42.15, N = 3 SE +/- 16.76, N = 3 SE +/- 24.73, N = 15 SE +/- 63.07, N = 3 SE +/- 33.02, N = 15 SE +/- 1.33, N = 3 SE +/- 44.07, N = 4 SE +/- 53.48, N = 3 SE +/- 32.77, N = 15 SE +/- 43.70, N = 15 SE +/- 36.29, N = 3 SE +/- 33.29, N = 15 SE +/- 24.85, N = 3 SE +/- 35.10, N = 3 SE +/- 8.14, N = 3 SE +/- 47.30, N = 3 SE +/- 30.93, N = 3 SE +/- 62.95, N = 3 SE +/- 4.04, N = 3 SE +/- 24.66, N = 3 2850 4806 2839 4078 3359 5135 2971 4014 4000 4316 5226 3003 4350 3762 4937 4719 4887 4515 5661 5448 1. Nodejs
v12.18.2
Result Confidence
OpenBenchmarking.org Requests Per Second, More Is Better Node.js Express HTTP Load Test EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 1000 2000 3000 4000 5000 Min: 2767 / Avg: 2850.33 / Max: 2903 Min: 4786 / Avg: 4805.67 / Max: 4839 Min: 2724 / Avg: 2839 / Max: 3060 Min: 3996 / Avg: 4078 / Max: 4202 Min: 3068 / Avg: 3359.4 / Max: 3589 Min: 5134 / Avg: 5135.33 / Max: 5138 Min: 2858 / Avg: 2971.25 / Max: 3059 Min: 3933 / Avg: 4014 / Max: 4115 Min: 3662 / Avg: 4000 / Max: 4169 Min: 3849 / Avg: 4316.33 / Max: 4532 Min: 5160 / Avg: 5226.33 / Max: 5285 Min: 2748 / Avg: 3002.73 / Max: 3153 Min: 4306 / Avg: 4350 / Max: 4392 Min: 3698 / Avg: 3762 / Max: 3819 Min: 4924 / Avg: 4937 / Max: 4952 Min: 4633 / Avg: 4719.33 / Max: 4796 Min: 4849 / Avg: 4886.67 / Max: 4948 Min: 4404 / Avg: 4514.67 / Max: 4622 Min: 5656 / Avg: 5661 / Max: 5669 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 8 16 24 32 40 SE +/- 0.36, N = 4 SE +/- 0.18, N = 15 SE +/- 0.18, N = 3 SE +/- 0.25, N = 3 SE +/- 0.04, N = 3 SE +/- 0.28, N = 3 SE +/- 0.31, N = 15 SE +/- 0.12, N = 3 SE +/- 0.23, N = 3 SE +/- 0.61, N = 12 SE +/- 0.31, N = 3 SE +/- 0.29, N = 3 SE +/- 0.21, N = 8 SE +/- 0.16, N = 3 SE +/- 0.05, N = 3 SE +/- 0.20, N = 3 SE +/- 0.19, N = 3 SE +/- 0.11, N = 3 SE +/- 0.18, N = 10 SE +/- 0.37, N = 3 24.42 24.25 23.00 23.23 18.55 22.29 23.85 19.02 20.13 21.89 20.25 23.83 20.00 24.97 28.15 28.08 36.64 21.25 20.22 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 8 16 24 32 40 Min: 23.48 / Avg: 24.42 / Max: 25.1 Min: 23.38 / Avg: 24.25 / Max: 25.52 Min: 22.72 / Avg: 23 / Max: 23.33 Min: 22.73 / Avg: 23.23 / Max: 23.51 Min: 18.46 / Avg: 18.55 / Max: 18.6 Min: 21.75 / Avg: 22.29 / Max: 22.7 Min: 22.12 / Avg: 23.85 / Max: 26.12 Min: 18.89 / Avg: 19.02 / Max: 19.26 Min: 19.89 / Avg: 20.13 / Max: 20.59 Min: 19.57 / Avg: 21.89 / Max: 25.19 Min: 19.66 / Avg: 20.25 / Max: 20.73 Min: 23.3 / Avg: 23.83 / Max: 24.31 Min: 19.41 / Avg: 20 / Max: 21.27 Min: 24.66 / Avg: 24.97 / Max: 25.17 Min: 28.1 / Avg: 28.15 / Max: 28.25 Min: 27.7 / Avg: 28.08 / Max: 28.39 Min: 36.28 / Avg: 36.64 / Max: 36.92 Min: 21.04 / Avg: 21.25 / Max: 21.4 Min: 19.04 / Avg: 20.22 / Max: 20.93 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 8K 16K 24K 32K 40K SE +/- 6.01, N = 3 SE +/- 17.46, N = 3 SE +/- 27.93, N = 3 SE +/- 16.91, N = 3 SE +/- 146.28, N = 3 SE +/- 7.57, N = 3 SE +/- 29.87, N = 3 SE +/- 83.89, N = 3 SE +/- 51.77, N = 3 SE +/- 21.81, N = 3 SE +/- 103.00, N = 3 SE +/- 86.15, N = 3 SE +/- 78.00, N = 3 SE +/- 118.60, N = 3 SE +/- 102.56, N = 3 SE +/- 101.15, N = 3 SE +/- 299.63, N = 3 SE +/- 18.08, N = 3 SE +/- 117.64, N = 3 SE +/- 148.55, N = 3 18537 19383 18060 26523 31841 27933 31848 32549 31451 33986 33924 30982 35592 32370 30867 33238 34154 19700 25093 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 6K 12K 18K 24K 30K Min: 18525.46 / Avg: 18537.25 / Max: 18545.21 Min: 19360.66 / Avg: 19382.71 / Max: 19417.19 Min: 18028.59 / Avg: 18060.48 / Max: 18116.14 Min: 26491.7 / Avg: 26523.04 / Max: 26549.72 Min: 31637.31 / Avg: 31841.25 / Max: 32124.87 Min: 27921.58 / Avg: 27932.63 / Max: 27947.12 Min: 31809.01 / Avg: 31848.24 / Max: 31906.87 Min: 32428.24 / Avg: 32548.65 / Max: 32710.05 Min: 31352.08 / Avg: 31450.92 / Max: 31527.01 Min: 33945.7 / Avg: 33985.57 / Max: 34020.84 Min: 33718.43 / Avg: 33924.16 / Max: 34036.14 Min: 30849.2 / Avg: 30982.07 / Max: 31143.51 Min: 35443.76 / Avg: 35592.46 / Max: 35707.68 Min: 32178.15 / Avg: 32369.75 / Max: 32586.65 Min: 30698.16 / Avg: 30866.88 / Max: 31052.26 Min: 33083.24 / Avg: 33238.13 / Max: 33428.27 Min: 33721.02 / Avg: 34154.35 / Max: 34729.48 Min: 19663.54 / Avg: 19699.69 / Max: 19718.67 Min: 24912.02 / Avg: 25092.89 / Max: 25313.65 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 1.2465 2.493 3.7395 4.986 6.2325 SE +/- 0.002, N = 3 SE +/- 0.005, N = 3 SE +/- 0.009, N = 3 SE +/- 0.003, N = 3 SE +/- 0.014, N = 3 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 SE +/- 0.008, N = 3 SE +/- 0.005, N = 3 SE +/- 0.002, N = 3 SE +/- 0.009, N = 3 SE +/- 0.009, N = 3 SE +/- 0.006, N = 3 SE +/- 0.012, N = 3 SE +/- 0.010, N = 3 SE +/- 0.009, N = 3 SE +/- 0.025, N = 3 SE +/- 0.005, N = 3 SE +/- 0.019, N = 3 SE +/- 0.014, N = 3 5.397 5.162 5.540 3.773 3.144 3.584 3.144 3.076 3.184 2.947 2.952 3.232 2.814 3.095 3.245 3.014 2.934 5.079 3.989 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 2 4 6 8 10 Min: 5.4 / Avg: 5.4 / Max: 5.4 Min: 5.15 / Avg: 5.16 / Max: 5.17 Min: 5.52 / Avg: 5.54 / Max: 5.55 Min: 3.77 / Avg: 3.77 / Max: 3.78 Min: 3.12 / Avg: 3.14 / Max: 3.16 Min: 3.58 / Avg: 3.58 / Max: 3.59 Min: 3.14 / Avg: 3.14 / Max: 3.15 Min: 3.06 / Avg: 3.08 / Max: 3.09 Min: 3.18 / Avg: 3.18 / Max: 3.19 Min: 2.94 / Avg: 2.95 / Max: 2.95 Min: 2.94 / Avg: 2.95 / Max: 2.97 Min: 3.22 / Avg: 3.23 / Max: 3.25 Min: 2.81 / Avg: 2.81 / Max: 2.83 Min: 3.07 / Avg: 3.1 / Max: 3.11 Min: 3.23 / Avg: 3.25 / Max: 3.26 Min: 3 / Avg: 3.01 / Max: 3.03 Min: 2.89 / Avg: 2.93 / Max: 2.97 Min: 5.07 / Avg: 5.08 / Max: 5.09 Min: 3.95 / Avg: 3.99 / Max: 4.02 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 14 28 42 56 70 SE +/- 0.19, N = 4 SE +/- 0.25, N = 15 SE +/- 0.17, N = 3 SE +/- 0.19, N = 3 SE +/- 0.34, N = 3 SE +/- 0.87, N = 3 SE +/- 0.31, N = 15 SE +/- 0.31, N = 3 SE +/- 0.84, N = 3 SE +/- 1.29, N = 12 SE +/- 0.76, N = 3 SE +/- 0.72, N = 3 SE +/- 0.15, N = 8 SE +/- 0.17, N = 3 SE +/- 0.41, N = 3 SE +/- 0.54, N = 3 SE +/- 0.41, N = 3 SE +/- 0.35, N = 3 SE +/- 0.68, N = 10 SE +/- 0.32, N = 3 50.01 49.39 43.06 49.36 39.31 37.89 41.99 32.49 33.55 36.74 33.03 38.80 32.64 39.93 43.46 43.92 63.71 40.01 37.18 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 12 24 36 48 60 Min: 49.52 / Avg: 50.01 / Max: 50.37 Min: 47.72 / Avg: 49.39 / Max: 51.72 Min: 42.85 / Avg: 43.06 / Max: 43.39 Min: 48.98 / Avg: 49.36 / Max: 49.63 Min: 38.86 / Avg: 39.31 / Max: 39.99 Min: 36.71 / Avg: 37.89 / Max: 39.58 Min: 39.76 / Avg: 41.99 / Max: 43.74 Min: 32.12 / Avg: 32.49 / Max: 33.11 Min: 32.39 / Avg: 33.55 / Max: 35.17 Min: 32.24 / Avg: 36.74 / Max: 43.77 Min: 32.11 / Avg: 33.03 / Max: 34.53 Min: 37.36 / Avg: 38.8 / Max: 39.61 Min: 32.07 / Avg: 32.64 / Max: 33.38 Min: 39.66 / Avg: 39.93 / Max: 40.24 Min: 42.79 / Avg: 43.46 / Max: 44.19 Min: 43.08 / Avg: 43.92 / Max: 44.93 Min: 63.27 / Avg: 63.71 / Max: 64.54 Min: 39.57 / Avg: 40.01 / Max: 40.7 Min: 31.85 / Avg: 37.18 / Max: 39.52 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 100 200 300 400 500 SE +/- 4.52, N = 3 SE +/- 1.53, N = 3 SE +/- 0.85, N = 3 SE +/- 2.39, N = 3 SE +/- 2.12, N = 3 SE +/- 1.62, N = 3 SE +/- 1.50, N = 3 SE +/- 1.16, N = 3 SE +/- 3.37, N = 3 SE +/- 0.12, N = 3 SE +/- 0.92, N = 3 SE +/- 0.34, N = 3 SE +/- 1.68, N = 3 SE +/- 0.55, N = 3 SE +/- 1.67, N = 3 SE +/- 2.80, N = 3 SE +/- 1.45, N = 3 SE +/- 3.22, N = 3 SE +/- 0.42, N = 3 SE +/- 0.17, N = 3 373.07 392.82 355.52 334.58 260.47 260.18 305.55 252.12 277.10 271.54 265.01 289.88 251.43 330.09 309.36 381.92 442.85 354.73 230.35 227.11 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 80 160 240 320 400 Min: 364.04 / Avg: 373.07 / Max: 377.83 Min: 389.93 / Avg: 392.82 / Max: 395.14 Min: 353.9 / Avg: 355.52 / Max: 356.77 Min: 330.36 / Avg: 334.58 / Max: 338.64 Min: 256.85 / Avg: 260.47 / Max: 264.18 Min: 258.39 / Avg: 260.18 / Max: 263.42 Min: 302.75 / Avg: 305.55 / Max: 307.86 Min: 250.69 / Avg: 252.12 / Max: 254.42 Min: 270.87 / Avg: 277.1 / Max: 282.42 Min: 271.34 / Avg: 271.54 / Max: 271.75 Min: 264.04 / Avg: 265.01 / Max: 266.85 Min: 289.39 / Avg: 289.88 / Max: 290.54 Min: 248.87 / Avg: 251.43 / Max: 254.59 Min: 329.07 / Avg: 330.09 / Max: 330.98 Min: 306.05 / Avg: 309.36 / Max: 311.45 Min: 376.52 / Avg: 381.92 / Max: 385.92 Min: 440.47 / Avg: 442.85 / Max: 445.47 Min: 348.31 / Avg: 354.72 / Max: 358.52 Min: 229.56 / Avg: 230.35 / Max: 230.99 Min: 226.77 / Avg: 227.11 / Max: 227.31 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: resnet18 EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 6 12 18 24 30 SE +/- 0.07, N = 4 SE +/- 1.89, N = 15 SE +/- 0.09, N = 3 SE +/- 0.26, N = 3 SE +/- 0.09, N = 3 SE +/- 0.05, N = 3 SE +/- 0.13, N = 15 SE +/- 0.16, N = 3 SE +/- 0.15, N = 3 SE +/- 0.45, N = 12 SE +/- 0.21, N = 3 SE +/- 0.45, N = 3 SE +/- 0.07, N = 8 SE +/- 0.08, N = 3 SE +/- 0.20, N = 3 SE +/- 0.40, N = 3 SE +/- 0.55, N = 3 SE +/- 0.34, N = 3 SE +/- 0.23, N = 10 SE +/- 0.28, N = 3 17.52 19.41 16.15 17.65 14.40 15.20 17.89 13.72 15.11 15.76 14.18 16.09 14.73 16.02 17.33 17.01 25.93 15.19 13.40 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 6 12 18 24 30 Min: 17.32 / Avg: 17.52 / Max: 17.67 Min: 16.74 / Avg: 19.41 / Max: 45.87 Min: 16.02 / Avg: 16.15 / Max: 16.32 Min: 17.2 / Avg: 17.65 / Max: 18.09 Min: 14.27 / Avg: 14.4 / Max: 14.57 Min: 15.11 / Avg: 15.2 / Max: 15.28 Min: 17.07 / Avg: 17.89 / Max: 18.64 Min: 13.53 / Avg: 13.72 / Max: 14.03 Min: 14.83 / Avg: 15.11 / Max: 15.36 Min: 14.25 / Avg: 15.76 / Max: 18.49 Min: 13.84 / Avg: 14.18 / Max: 14.56 Min: 15.41 / Avg: 16.09 / Max: 16.94 Min: 14.45 / Avg: 14.73 / Max: 15.08 Min: 15.93 / Avg: 16.02 / Max: 16.19 Min: 16.94 / Avg: 17.33 / Max: 17.63 Min: 16.41 / Avg: 17.01 / Max: 17.77 Min: 24.86 / Avg: 25.93 / Max: 26.68 Min: 14.59 / Avg: 15.19 / Max: 15.77 Min: 11.54 / Avg: 13.4 / Max: 14.2 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 1000 2000 3000 4000 5000 SE +/- 6.48, N = 3 SE +/- 36.62, N = 3 SE +/- 25.69, N = 3 SE +/- 22.86, N = 3 SE +/- 10.08, N = 3 SE +/- 13.48, N = 3 SE +/- 49.86, N = 4 SE +/- 12.02, N = 3 SE +/- 7.26, N = 3 SE +/- 9.20, N = 3 SE +/- 1.04, N = 3 SE +/- 33.00, N = 3 SE +/- 4.44, N = 3 SE +/- 5.39, N = 3 SE +/- 12.60, N = 3 SE +/- 5.69, N = 3 SE +/- 19.98, N = 3 SE +/- 50.65, N = 3 SE +/- 1.58, N = 3 SE +/- 6.12, N = 3 2345.90 2390.87 3072.62 2368.92 2334.81 3861.21 3651.00 3718.88 3622.05 3634.42 3650.99 4254.94 3646.83 4265.80 4389.41 4445.33 4352.03 3088.71 4501.69 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 800 1600 2400 3200 4000 Min: 2333.02 / Avg: 2345.9 / Max: 2353.64 Min: 2317.79 / Avg: 2390.87 / Max: 2431.56 Min: 3025.64 / Avg: 3072.62 / Max: 3114.11 Min: 2330.47 / Avg: 2368.92 / Max: 2409.56 Min: 2324.11 / Avg: 2334.81 / Max: 2354.95 Min: 3841.39 / Avg: 3861.21 / Max: 3886.95 Min: 3503.37 / Avg: 3651 / Max: 3717.36 Min: 3700.14 / Avg: 3718.88 / Max: 3741.3 Min: 3613.31 / Avg: 3622.05 / Max: 3636.45 Min: 3620.99 / Avg: 3634.42 / Max: 3652.03 Min: 3648.9 / Avg: 3650.99 / Max: 3652.03 Min: 4190.95 / Avg: 4254.94 / Max: 4300.96 Min: 3638 / Avg: 3646.83 / Max: 3652.03 Min: 4255.84 / Avg: 4265.8 / Max: 4274.34 Min: 4376.81 / Avg: 4389.41 / Max: 4414.61 Min: 4434.14 / Avg: 4445.33 / Max: 4452.67 Min: 4314.02 / Avg: 4352.03 / Max: 4381.69 Min: 2987.44 / Avg: 3088.71 / Max: 3141.66 Min: 4498.52 / Avg: 4501.69 / Max: 4503.27 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 100 200 300 400 500 SE +/- 0.77, N = 3 SE +/- 0.57, N = 3 SE +/- 0.52, N = 3 SE +/- 0.53, N = 3 SE +/- 0.73, N = 3 SE +/- 0.13, N = 3 SE +/- 0.69, N = 3 SE +/- 0.35, N = 3 SE +/- 0.17, N = 3 SE +/- 0.63, N = 3 SE +/- 0.58, N = 3 SE +/- 0.52, N = 3 SE +/- 0.53, N = 3 SE +/- 0.49, N = 3 SE +/- 0.79, N = 3 SE +/- 0.51, N = 3 SE +/- 1.03, N = 3 SE +/- 2.03, N = 3 SE +/- 0.61, N = 3 SE +/- 0.93, N = 3 280 263 236 377 454 383 376 415 377 408 409 355 432 378 383 354 356 279 387 451 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 80 160 240 320 400 Min: 278.24 / Avg: 279.59 / Max: 280.9 Min: 261.92 / Avg: 262.58 / Max: 263.71 Min: 235.52 / Avg: 236.32 / Max: 237.3 Min: 375.94 / Avg: 376.84 / Max: 377.79 Min: 453.31 / Avg: 454.13 / Max: 455.58 Min: 382.85 / Avg: 383.09 / Max: 383.29 Min: 375.23 / Avg: 375.99 / Max: 377.36 Min: 414.08 / Avg: 414.65 / Max: 415.28 Min: 377.22 / Avg: 377.45 / Max: 377.79 Min: 407.17 / Avg: 408.22 / Max: 409.33 Min: 408.16 / Avg: 409.17 / Max: 410.17 Min: 354.36 / Avg: 355.33 / Max: 356.13 Min: 431.59 / Avg: 432.22 / Max: 433.28 Min: 376.79 / Avg: 377.64 / Max: 378.5 Min: 381.97 / Avg: 383.1 / Max: 384.62 Min: 353.36 / Avg: 354.15 / Max: 355.11 Min: 354.74 / Avg: 356.47 / Max: 358.29 Min: 275.41 / Avg: 279.23 / Max: 282.33 Min: 386.1 / Avg: 386.85 / Max: 388.05 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 800 1600 2400 3200 4000 SE +/- 13.27, N = 3 SE +/- 6.54, N = 3 SE +/- 2.33, N = 3 SE +/- 3.30, N = 3 SE +/- 4.62, N = 3 SE +/- 4.74, N = 3 SE +/- 4.14, N = 3 SE +/- 3.22, N = 3 SE +/- 1.26, N = 3 SE +/- 1.08, N = 3 SE +/- 1.51, N = 3 SE +/- 2.71, N = 3 SE +/- 2.01, N = 3 SE +/- 1.56, N = 3 SE +/- 0.89, N = 3 SE +/- 4.17, N = 3 SE +/- 14.96, N = 3 SE +/- 4.52, N = 3 SE +/- 7.58, N = 3 SE +/- 2.69, N = 3 2597.69 2600.15 2436.75 2586.14 2677.81 2600.47 2991.16 2614.51 3070.66 2805.48 2792.73 2896.79 2604.68 3248.81 3092.81 3508.02 3839.87 1998.07 2056.94 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 700 1400 2100 2800 3500 Min: 2571.87 / Avg: 2597.69 / Max: 2615.92 Min: 2587.1 / Avg: 2600.15 / Max: 2607.47 Min: 2432.1 / Avg: 2436.75 / Max: 2439.19 Min: 2580.39 / Avg: 2586.14 / Max: 2591.83 Min: 2668.76 / Avg: 2677.81 / Max: 2683.98 Min: 2594.08 / Avg: 2600.47 / Max: 2609.73 Min: 2982.89 / Avg: 2991.16 / Max: 2995.63 Min: 2608.68 / Avg: 2614.51 / Max: 2619.8 Min: 3069.11 / Avg: 3070.66 / Max: 3073.15 Min: 2804.09 / Avg: 2805.48 / Max: 2807.61 Min: 2790.22 / Avg: 2792.73 / Max: 2795.45 Min: 2893.86 / Avg: 2896.79 / Max: 2902.21 Min: 2600.93 / Avg: 2604.68 / Max: 2607.81 Min: 3246.75 / Avg: 3248.81 / Max: 3251.86 Min: 3091.18 / Avg: 3092.81 / Max: 3094.24 Min: 3499.99 / Avg: 3508.02 / Max: 3514.01 Min: 3819.73 / Avg: 3839.87 / Max: 3869.1 Min: 1992.29 / Avg: 1998.07 / Max: 2006.99 Min: 2043.82 / Avg: 2056.94 / Max: 2070.07 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 14K 28K 42K 56K 70K SE +/- 71.48, N = 3 SE +/- 133.20, N = 3 SE +/- 91.74, N = 3 SE +/- 84.88, N = 3 SE +/- 152.36, N = 3 SE +/- 275.30, N = 3 SE +/- 1348.73, N = 15 SE +/- 1239.94, N = 15 SE +/- 920.22, N = 4 SE +/- 491.54, N = 3 SE +/- 241.08, N = 3 SE +/- 341.83, N = 3 SE +/- 437.03, N = 3 SE +/- 468.99, N = 15 SE +/- 321.18, N = 3 SE +/- 60.18, N = 3 SE +/- 176.57, N = 3 SE +/- 239.10, N = 3 SE +/- 229.75, N = 3 SE +/- 490.90, N = 14 38055.48 37612.10 34303.92 54278.91 65784.91 59610.98 61161.49 64404.93 61372.67 61836.51 63083.58 52852.27 64460.63 52421.16 51763.13 51197.81 51183.28 37856.21 59402.61 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 11K 22K 33K 44K 55K Min: 37912.54 / Avg: 38055.48 / Max: 38128.59 Min: 37466.22 / Avg: 37612.1 / Max: 37878.08 Min: 34195.02 / Avg: 34303.92 / Max: 34486.25 Min: 54160.94 / Avg: 54278.91 / Max: 54443.62 Min: 65481.22 / Avg: 65784.91 / Max: 65958.47 Min: 59178.64 / Avg: 59610.98 / Max: 60122.42 Min: 53679.74 / Avg: 61161.49 / Max: 66058.07 Min: 56916.25 / Avg: 64404.93 / Max: 69223.31 Min: 58752.25 / Avg: 61372.67 / Max: 62931.84 Min: 61166.4 / Avg: 61836.51 / Max: 62794.51 Min: 62764.22 / Avg: 63083.58 / Max: 63556.1 Min: 52179.66 / Avg: 52852.27 / Max: 53294.56 Min: 63717.54 / Avg: 64460.63 / Max: 65230.73 Min: 48119.17 / Avg: 52421.16 / Max: 53819.68 Min: 51177.38 / Avg: 51763.13 / Max: 52284.35 Min: 51112.45 / Avg: 51197.81 / Max: 51313.99 Min: 50839.81 / Avg: 51183.28 / Max: 51426.06 Min: 37556.37 / Avg: 37856.21 / Max: 38328.73 Min: 58959.13 / Avg: 59402.61 / Max: 59728.54 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 120 240 360 480 600 SE +/- 0.41, N = 3 SE +/- 1.18, N = 3 SE +/- 0.46, N = 3 SE +/- 0.86, N = 3 SE +/- 1.58, N = 3 SE +/- 1.16, N = 3 SE +/- 0.66, N = 3 SE +/- 0.73, N = 3 SE +/- 0.77, N = 3 SE +/- 0.91, N = 3 SE +/- 0.28, N = 3 SE +/- 0.76, N = 3 SE +/- 0.80, N = 3 SE +/- 1.01, N = 3 SE +/- 0.83, N = 3 SE +/- 0.38, N = 3 SE +/- 1.02, N = 3 SE +/- 0.47, N = 3 SE +/- 1.22, N = 3 SE +/- 1.64, N = 3 359 329 291 461 554 465 455 501 453 490 495 430 517 457 464 426 432 351 476 547 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 100 200 300 400 500 Min: 358.68 / Avg: 359.41 / Max: 360.1 Min: 327.33 / Avg: 328.92 / Max: 331.24 Min: 289.77 / Avg: 290.67 / Max: 291.29 Min: 459.77 / Avg: 460.83 / Max: 462.53 Min: 551.88 / Avg: 554.03 / Max: 557.1 Min: 463.82 / Avg: 465.19 / Max: 467.51 Min: 453.72 / Avg: 454.82 / Max: 456 Min: 499.5 / Avg: 500.67 / Max: 502.01 Min: 451.26 / Avg: 452.56 / Max: 453.93 Min: 488.28 / Avg: 489.72 / Max: 491.4 Min: 494.56 / Avg: 495.05 / Max: 495.54 Min: 428.45 / Avg: 429.62 / Max: 431.03 Min: 516.26 / Avg: 517.07 / Max: 518.67 Min: 455.58 / Avg: 456.69 / Max: 458.72 Min: 462.75 / Avg: 463.97 / Max: 465.55 Min: 425.71 / Avg: 426.44 / Max: 426.99 Min: 429.74 / Avg: 431.54 / Max: 433.28 Min: 349.9 / Avg: 350.84 / Max: 351.37 Min: 474.38 / Avg: 475.82 / Max: 478.24 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 12 24 36 48 60 SE +/- 0.25, N = 12 SE +/- 0.33, N = 3 SE +/- 0.73, N = 3 SE +/- 0.20, N = 12 SE +/- 0.40, N = 3 SE +/- 0.21, N = 3 SE +/- 0.19, N = 15 SE +/- 0.23, N = 15 SE +/- 0.09, N = 15 SE +/- 0.06, N = 12 SE +/- 0.13, N = 3 SE +/- 0.26, N = 15 SE +/- 0.10, N = 12 SE +/- 0.12, N = 15 SE +/- 0.07, N = 3 SE +/- 0.13, N = 15 SE +/- 0.23, N = 12 SE +/- 0.66, N = 3 SE +/- 0.19, N = 15 SE +/- 0.23, N = 15 51.11 50.44 48.96 44.08 37.16 40.25 37.00 33.29 28.00 27.51 27.39 28.78 26.92 29.08 28.29 28.32 32.53 45.21 34.18 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 10 20 30 40 50 Min: 49.99 / Avg: 51.11 / Max: 52.36 Min: 49.77 / Avg: 50.44 / Max: 50.85 Min: 47.67 / Avg: 48.96 / Max: 50.18 Min: 43.1 / Avg: 44.08 / Max: 45.16 Min: 36.4 / Avg: 37.16 / Max: 37.73 Min: 40.01 / Avg: 40.25 / Max: 40.66 Min: 35.97 / Avg: 37 / Max: 38.04 Min: 32.08 / Avg: 33.29 / Max: 35.28 Min: 27.56 / Avg: 28 / Max: 28.75 Min: 27.07 / Avg: 27.51 / Max: 27.89 Min: 27.23 / Avg: 27.39 / Max: 27.64 Min: 27.78 / Avg: 28.78 / Max: 31.81 Min: 26.35 / Avg: 26.92 / Max: 27.47 Min: 28.43 / Avg: 29.08 / Max: 29.83 Min: 28.21 / Avg: 28.29 / Max: 28.43 Min: 27.64 / Avg: 28.32 / Max: 29.38 Min: 31.11 / Avg: 32.53 / Max: 33.96 Min: 44.43 / Avg: 45.21 / Max: 46.53 Min: 33.19 / Avg: 34.18 / Max: 35.14 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 400 800 1200 1600 2000 1020 1016 1029 1268 1422 1502 1638 1746 1811 1861 1858 1796 1906 1908 1928 1912 1843 1176 1658 1831
OpenVINO
Result
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Face Detection 0106 FP32 - Device: CPU EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 800 1600 2400 3200 4000 SE +/- 5.91, N = 3 SE +/- 6.48, N = 3 SE +/- 8.09, N = 3 SE +/- 3.76, N = 3 SE +/- 1.27, N = 3 SE +/- 0.94, N = 3 SE +/- 2.65, N = 3 SE +/- 5.29, N = 3 SE +/- 2.41, N = 3 SE +/- 1.31, N = 3 SE +/- 2.16, N = 3 SE +/- 3.65, N = 3 SE +/- 1.22, N = 3 SE +/- 1.11, N = 3 SE +/- 2.14, N = 3 SE +/- 5.97, N = 3 SE +/- 13.85, N = 3 SE +/- 2.63, N = 3 SE +/- 0.56, N = 3 SE +/- 2.68, N = 3 2605.05 2588.02 2432.00 2589.48 2673.76 2598.28 2990.38 2619.80 3065.49 2802.25 2794.68 2894.52 2600.40 3239.74 3093.73 3505.17 3802.58 2005.91 2064.65 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 700 1400 2100 2800 3500 Min: 2594.21 / Avg: 2605.05 / Max: 2614.56 Min: 2576.99 / Avg: 2588.02 / Max: 2599.43 Min: 2417.5 / Avg: 2432 / Max: 2445.45 Min: 2583.64 / Avg: 2589.48 / Max: 2596.51 Min: 2671.86 / Avg: 2673.76 / Max: 2676.17 Min: 2596.72 / Avg: 2598.28 / Max: 2599.98 Min: 2985.22 / Avg: 2990.38 / Max: 2994.01 Min: 2609.52 / Avg: 2619.8 / Max: 2627.12 Min: 3062.31 / Avg: 3065.49 / Max: 3070.23 Min: 2800.17 / Avg: 2802.25 / Max: 2804.68 Min: 2790.38 / Avg: 2794.68 / Max: 2797.22 Min: 2890.55 / Avg: 2894.52 / Max: 2901.82 Min: 2598.01 / Avg: 2600.4 / Max: 2602.05 Min: 3237.91 / Avg: 3239.74 / Max: 3241.74 Min: 3090.11 / Avg: 3093.73 / Max: 3097.51 Min: 3494.9 / Avg: 3505.17 / Max: 3515.57 Min: 3782.5 / Avg: 3802.58 / Max: 3829.14 Min: 2000.66 / Avg: 2005.91 / Max: 2008.73 Min: 2063.74 / Avg: 2064.65 / Max: 2065.66 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 3 6 9 12 15 SE +/- 0.064, N = 12 SE +/- 0.084, N = 3 SE +/- 0.055, N = 3 SE +/- 0.090, N = 12 SE +/- 0.048, N = 3 SE +/- 0.085, N = 3 SE +/- 0.245, N = 15 SE +/- 0.188, N = 15 SE +/- 0.010, N = 15 SE +/- 0.020, N = 12 SE +/- 0.015, N = 3 SE +/- 0.054, N = 15 SE +/- 0.017, N = 12 SE +/- 0.049, N = 15 SE +/- 0.177, N = 3 SE +/- 0.020, N = 15 SE +/- 0.067, N = 12 SE +/- 0.038, N = 3 SE +/- 0.012, N = 15 SE +/- 0.205, N = 15 8.677 8.284 7.927 9.640 7.536 7.800 6.949 6.416 5.262 5.450 5.472 5.307 5.134 5.712 5.546 5.348 6.541 7.068 6.528 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 3 6 9 12 15 Min: 8.16 / Avg: 8.68 / Max: 9.01 Min: 8.15 / Avg: 8.28 / Max: 8.44 Min: 7.83 / Avg: 7.93 / Max: 8.03 Min: 9.14 / Avg: 9.64 / Max: 10.38 Min: 7.49 / Avg: 7.54 / Max: 7.63 Min: 7.63 / Avg: 7.8 / Max: 7.91 Min: 5.7 / Avg: 6.95 / Max: 7.81 Min: 5.32 / Avg: 6.42 / Max: 7.16 Min: 5.21 / Avg: 5.26 / Max: 5.33 Min: 5.34 / Avg: 5.45 / Max: 5.58 Min: 5.45 / Avg: 5.47 / Max: 5.5 Min: 5.16 / Avg: 5.31 / Max: 5.94 Min: 4.99 / Avg: 5.13 / Max: 5.2 Min: 5.4 / Avg: 5.71 / Max: 5.9 Min: 5.33 / Avg: 5.55 / Max: 5.9 Min: 5.26 / Avg: 5.35 / Max: 5.52 Min: 6.25 / Avg: 6.54 / Max: 7.01 Min: 7.01 / Avg: 7.07 / Max: 7.14 Min: 6.45 / Avg: 6.53 / Max: 6.61 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 5 10 15 20 25 SE +/- 0.16, N = 4 SE +/- 0.06, N = 15 SE +/- 0.15, N = 3 SE +/- 0.23, N = 3 SE +/- 0.04, N = 3 SE +/- 0.23, N = 3 SE +/- 0.20, N = 15 SE +/- 0.05, N = 3 SE +/- 0.09, N = 3 SE +/- 0.40, N = 12 SE +/- 0.13, N = 3 SE +/- 0.37, N = 3 SE +/- 0.12, N = 8 SE +/- 0.32, N = 3 SE +/- 0.18, N = 3 SE +/- 0.61, N = 3 SE +/- 0.63, N = 3 SE +/- 0.40, N = 2 SE +/- 0.28, N = 10 SE +/- 0.33, N = 3 12.85 12.66 11.03 12.75 10.94 11.32 12.96 10.04 10.84 11.70 9.95 11.07 10.85 11.31 11.59 11.21 18.51 10.44 9.86 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 5 10 15 20 25 Min: 12.47 / Avg: 12.85 / Max: 13.25 Min: 12.41 / Avg: 12.66 / Max: 13.1 Min: 10.74 / Avg: 11.03 / Max: 11.2 Min: 12.32 / Avg: 12.75 / Max: 13.12 Min: 10.89 / Avg: 10.94 / Max: 11.03 Min: 10.87 / Avg: 11.32 / Max: 11.66 Min: 11.74 / Avg: 12.96 / Max: 14.52 Min: 9.96 / Avg: 10.04 / Max: 10.13 Min: 10.75 / Avg: 10.84 / Max: 11.02 Min: 10.19 / Avg: 11.7 / Max: 14.07 Min: 9.82 / Avg: 9.95 / Max: 10.2 Min: 10.66 / Avg: 11.07 / Max: 11.81 Min: 10.47 / Avg: 10.85 / Max: 11.37 Min: 10.87 / Avg: 11.31 / Max: 11.93 Min: 11.35 / Avg: 11.59 / Max: 11.95 Min: 10.53 / Avg: 11.21 / Max: 12.43 Min: 17.78 / Avg: 18.51 / Max: 19.77 Min: 10.04 / Avg: 10.44 / Max: 10.83 Min: 8.01 / Avg: 9.86 / Max: 11.13 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 100 200 300 400 500 SE +/- 0.57, N = 3 SE +/- 0.65, N = 3 SE +/- 0.34, N = 3 SE +/- 0.82, N = 3 SE +/- 1.01, N = 3 SE +/- 0.25, N = 3 SE +/- 0.46, N = 3 SE +/- 0.55, N = 3 SE +/- 0.42, N = 3 SE +/- 0.55, N = 3 SE +/- 0.74, N = 3 SE +/- 0.45, N = 3 SE +/- 0.87, N = 3 SE +/- 0.24, N = 3 SE +/- 0.35, N = 3 SE +/- 0.42, N = 3 SE +/- 0.45, N = 3 SE +/- 0.69, N = 3 SE +/- 0.34, N = 3 SE +/- 0.32, N = 3 292 273 247 382 459 387 379 417 379 410 411 358 431 379 385 354 356 287 394 455 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 80 160 240 320 400 Min: 291.21 / Avg: 291.86 / Max: 293 Min: 271.74 / Avg: 272.76 / Max: 273.97 Min: 246.43 / Avg: 246.79 / Max: 247.46 Min: 380.08 / Avg: 381.63 / Max: 382.85 Min: 456.83 / Avg: 458.79 / Max: 460.19 Min: 386.7 / Avg: 386.95 / Max: 387.45 Min: 377.64 / Avg: 378.55 / Max: 379.08 Min: 416.49 / Avg: 417.13 / Max: 418.24 Min: 378.79 / Avg: 379.46 / Max: 380.23 Min: 409 / Avg: 409.78 / Max: 410.85 Min: 410.17 / Avg: 411.07 / Max: 412.54 Min: 357.4 / Avg: 358.21 / Max: 358.94 Min: 430.11 / Avg: 431.47 / Max: 433.09 Min: 378.5 / Avg: 378.98 / Max: 379.22 Min: 384.76 / Avg: 385.31 / Max: 385.95 Min: 353.48 / Avg: 354.03 / Max: 354.86 Min: 354.86 / Avg: 355.54 / Max: 356.38 Min: 285.71 / Avg: 287.08 / Max: 287.77 Min: 392.93 / Avg: 393.6 / Max: 394.01 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 13 26 39 52 65 SE +/- 0.53, N = 4 SE +/- 0.19, N = 15 SE +/- 0.38, N = 3 SE +/- 0.32, N = 3 SE +/- 0.09, N = 3 SE +/- 0.20, N = 3 SE +/- 0.20, N = 15 SE +/- 0.12, N = 3 SE +/- 0.08, N = 3 SE +/- 5.01, N = 12 SE +/- 0.10, N = 3 SE +/- 0.32, N = 3 SE +/- 0.15, N = 8 SE +/- 0.14, N = 3 SE +/- 0.29, N = 3 SE +/- 0.37, N = 3 SE +/- 0.75, N = 3 SE +/- 0.06, N = 3 SE +/- 0.23, N = 10 SE +/- 0.27, N = 3 37.85 37.01 36.84 35.19 31.53 34.03 37.06 31.68 32.44 41.55 32.15 34.50 31.97 35.05 36.67 37.22 57.12 33.66 31.41 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 11 22 33 44 55 Min: 36.65 / Avg: 37.85 / Max: 39.21 Min: 35.8 / Avg: 37.01 / Max: 38.44 Min: 36.08 / Avg: 36.84 / Max: 37.28 Min: 34.57 / Avg: 35.19 / Max: 35.66 Min: 31.37 / Avg: 31.53 / Max: 31.69 Min: 33.75 / Avg: 34.03 / Max: 34.41 Min: 35.91 / Avg: 37.06 / Max: 38.58 Min: 31.55 / Avg: 31.68 / Max: 31.91 Min: 32.35 / Avg: 32.44 / Max: 32.6 Min: 31.9 / Avg: 41.55 / Max: 81.75 Min: 32.01 / Avg: 32.15 / Max: 32.34 Min: 33.95 / Avg: 34.5 / Max: 35.06 Min: 31.22 / Avg: 31.97 / Max: 32.54 Min: 34.79 / Avg: 35.05 / Max: 35.29 Min: 36.2 / Avg: 36.67 / Max: 37.21 Min: 36.6 / Avg: 37.22 / Max: 37.87 Min: 55.66 / Avg: 57.12 / Max: 58.17 Min: 33.55 / Avg: 33.66 / Max: 33.77 Min: 29.4 / Avg: 31.41 / Max: 31.94 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 0.6435 1.287 1.9305 2.574 3.2175 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 6 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, 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 +/- 0.01, N = 3 2.86 2.83 2.68 2.36 2.15 2.13 2.04 1.82 1.87 1.79 1.79 1.81 1.73 1.95 1.81 1.58 1.60 2.40 1.82 1.67
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_linearridgeregression EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 2 4 6 8 10 Min: 2.81 / Avg: 2.86 / Max: 2.93 Min: 2.8 / Avg: 2.83 / Max: 2.85 Min: 2.54 / Avg: 2.68 / Max: 2.75 Min: 2.33 / Avg: 2.36 / Max: 2.39 Min: 2.11 / Avg: 2.15 / Max: 2.19 Min: 2.11 / Avg: 2.13 / Max: 2.15 Min: 2.03 / Avg: 2.04 / Max: 2.05 Min: 1.81 / Avg: 1.82 / Max: 1.84 Min: 1.86 / Avg: 1.87 / Max: 1.87 Min: 1.77 / Avg: 1.79 / Max: 1.81 Min: 1.77 / Avg: 1.79 / Max: 1.81 Min: 1.8 / Avg: 1.81 / Max: 1.82 Min: 1.71 / Avg: 1.73 / Max: 1.74 Min: 1.94 / Avg: 1.95 / Max: 1.95 Min: 1.79 / Avg: 1.81 / Max: 1.83 Min: 1.56 / Avg: 1.58 / Max: 1.61 Min: 1.57 / Avg: 1.6 / Max: 1.62 Min: 2.38 / Avg: 2.4 / Max: 2.43 Min: 1.78 / Avg: 1.82 / Max: 1.87 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 20K 40K 60K 80K 100K SE +/- 6.04, N = 5 SE +/- 31.07, N = 5 SE +/- 18.22, N = 5 SE +/- 12.57, N = 5 SE +/- 6.90, N = 5 SE +/- 12.51, N = 5 SE +/- 72.45, N = 5 SE +/- 17.41, N = 5 SE +/- 30.03, N = 5 SE +/- 25.28, N = 5 SE +/- 4.01, N = 5 SE +/- 12.33, N = 5 SE +/- 14.74, N = 5 SE +/- 56.50, N = 5 SE +/- 25.19, N = 5 SE +/- 44.59, N = 5 SE +/- 25.27, N = 5 SE +/- 30.39, N = 5 SE +/- 26.38, N = 5 SE +/- 17.47, N = 5 56930.3 56700.0 90094.8 55803.3 55554.4 88384.1 86874.0 87431.1 87264.6 87319.2 87289.2 99680.8 87290.0 96936.0 99219.5 98556.1 98142.0 89542.3 100472.4 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 20K 40K 60K 80K 100K Min: 56912.4 / Avg: 56930.26 / Max: 56947.5 Min: 56629.4 / Avg: 56699.96 / Max: 56804.8 Min: 90053.2 / Avg: 90094.84 / Max: 90158.1 Min: 55754.3 / Avg: 55803.34 / Max: 55821.7 Min: 55541.4 / Avg: 55554.36 / Max: 55572.4 Min: 88351.5 / Avg: 88384.12 / Max: 88427.6 Min: 86636.8 / Avg: 86874.04 / Max: 87045.1 Min: 87364.6 / Avg: 87431.12 / Max: 87463.3 Min: 87180.8 / Avg: 87264.58 / Max: 87339.6 Min: 87260.1 / Avg: 87319.2 / Max: 87406.4 Min: 87276 / Avg: 87289.18 / Max: 87301 Min: 99646.9 / Avg: 99680.84 / Max: 99709.1 Min: 87238.2 / Avg: 87289.96 / Max: 87329.8 Min: 96848.4 / Avg: 96936.04 / Max: 97157.8 Min: 99181.5 / Avg: 99219.46 / Max: 99317.5 Min: 98388.6 / Avg: 98556.06 / Max: 98643.1 Min: 98063.6 / Avg: 98142.04 / Max: 98195.6 Min: 89428.4 / Avg: 89542.34 / Max: 89605.9 Min: 100414.3 / Avg: 100472.42 / Max: 100561.7 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 7K 14K 21K 28K 35K SE +/- 38.90, N = 3 SE +/- 44.39, N = 3 SE +/- 42.70, N = 3 SE +/- 42.24, N = 3 SE +/- 57.62, N = 3 SE +/- 24.50, N = 3 SE +/- 52.15, N = 3 SE +/- 93.09, N = 3 SE +/- 147.21, N = 3 SE +/- 132.62, N = 3 SE +/- 70.45, N = 3 SE +/- 9.73, N = 3 SE +/- 147.71, N = 3 SE +/- 82.99, N = 3 SE +/- 101.40, N = 3 SE +/- 118.59, N = 3 SE +/- 33.78, N = 3 SE +/- 48.99, N = 3 SE +/- 210.97, N = 3 SE +/- 182.35, N = 3 18526 19178 17773 26353 30264 26710 28983 29755 27817 30608 30472 27104 31925 30056 28052 28946 30234 18968 25631 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 6K 12K 18K 24K 30K Min: 18453.24 / Avg: 18526.01 / Max: 18586.25 Min: 19092.39 / Avg: 19177.91 / Max: 19241.32 Min: 17717.75 / Avg: 17772.88 / Max: 17856.94 Min: 26282.22 / Avg: 26352.9 / Max: 26428.32 Min: 30148.99 / Avg: 30264.23 / Max: 30322.74 Min: 26674.67 / Avg: 26710.42 / Max: 26757.31 Min: 28879.4 / Avg: 28983.04 / Max: 29045.02 Min: 29586.2 / Avg: 29754.83 / Max: 29907.47 Min: 27578.49 / Avg: 27817.02 / Max: 28085.76 Min: 30344.25 / Avg: 30608.03 / Max: 30764.02 Min: 30351.66 / Avg: 30472.2 / Max: 30595.65 Min: 27089.74 / Avg: 27103.73 / Max: 27122.43 Min: 31629.49 / Avg: 31924.55 / Max: 32084.7 Min: 29898.19 / Avg: 30055.53 / Max: 30179.97 Min: 27946.46 / Avg: 28051.59 / Max: 28254.36 Min: 28709.38 / Avg: 28946.44 / Max: 29071.66 Min: 30166.75 / Avg: 30234.16 / Max: 30271.83 Min: 18870.47 / Avg: 18968.29 / Max: 19022.11 Min: 25306.01 / Avg: 25631.36 / Max: 26026.7 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 20K 40K 60K 80K 100K SE +/- 12.43, N = 5 SE +/- 29.37, N = 5 SE +/- 22.12, N = 5 SE +/- 33.21, N = 5 SE +/- 7.59, N = 5 SE +/- 15.92, N = 5 SE +/- 86.08, N = 5 SE +/- 18.34, N = 5 SE +/- 12.81, N = 5 SE +/- 18.08, N = 5 SE +/- 23.76, N = 5 SE +/- 34.39, N = 5 SE +/- 12.50, N = 5 SE +/- 27.16, N = 5 SE +/- 23.52, N = 5 SE +/- 32.77, N = 5 SE +/- 35.94, N = 5 SE +/- 40.08, N = 5 SE +/- 13.28, N = 5 SE +/- 14.01, N = 5 52350.5 52030.3 82215.9 51571.1 51217.1 80513.0 79301.4 79953.8 79606.6 79627.0 79634.2 91183.6 79643.9 88756.6 90802.5 90228.3 89704.6 81278.9 91926.7 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 16K 32K 48K 64K 80K Min: 52328.6 / Avg: 52350.52 / Max: 52398.9 Min: 51965.2 / Avg: 52030.26 / Max: 52108.8 Min: 82156.7 / Avg: 82215.88 / Max: 82275.5 Min: 51446.9 / Avg: 51571.1 / Max: 51646.4 Min: 51191.8 / Avg: 51217.06 / Max: 51236 Min: 80462.4 / Avg: 80513 / Max: 80556.1 Min: 79070.7 / Avg: 79301.44 / Max: 79534.5 Min: 79896.3 / Avg: 79953.78 / Max: 80003.9 Min: 79558.1 / Avg: 79606.62 / Max: 79628.9 Min: 79577.9 / Avg: 79627.04 / Max: 79677.1 Min: 79574.2 / Avg: 79634.24 / Max: 79689.4 Min: 91080.3 / Avg: 91183.56 / Max: 91262.4 Min: 79601.5 / Avg: 79643.86 / Max: 79678.1 Min: 88696.8 / Avg: 88756.64 / Max: 88824.7 Min: 90737.9 / Avg: 90802.52 / Max: 90873.1 Min: 90109.3 / Avg: 90228.28 / Max: 90303.3 Min: 89606.3 / Avg: 89704.6 / Max: 89822.2 Min: 81165 / Avg: 81278.94 / Max: 81396.4 Min: 91885.9 / Avg: 91926.68 / Max: 91960.2 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 1.2668 2.5336 3.8004 5.0672 6.334 SE +/- 0.011, N = 3 SE +/- 0.013, N = 3 SE +/- 0.013, N = 3 SE +/- 0.006, N = 3 SE +/- 0.006, N = 3 SE +/- 0.003, N = 3 SE +/- 0.006, N = 3 SE +/- 0.010, N = 3 SE +/- 0.019, N = 3 SE +/- 0.013, N = 3 SE +/- 0.008, N = 3 SE +/- 0.001, N = 3 SE +/- 0.014, N = 3 SE +/- 0.010, N = 3 SE +/- 0.013, N = 3 SE +/- 0.015, N = 3 SE +/- 0.004, N = 3 SE +/- 0.014, N = 3 SE +/- 0.032, N = 3 SE +/- 0.019, N = 3 5.401 5.218 5.630 3.797 3.307 3.748 3.456 3.366 3.600 3.272 3.287 3.696 3.137 3.333 3.572 3.460 3.313 5.275 3.906 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 2 4 6 8 10 Min: 5.38 / Avg: 5.4 / Max: 5.42 Min: 5.2 / Avg: 5.22 / Max: 5.24 Min: 5.6 / Avg: 5.63 / Max: 5.65 Min: 3.79 / Avg: 3.8 / Max: 3.81 Min: 3.3 / Avg: 3.31 / Max: 3.32 Min: 3.74 / Avg: 3.75 / Max: 3.75 Min: 3.45 / Avg: 3.46 / Max: 3.47 Min: 3.35 / Avg: 3.37 / Max: 3.39 Min: 3.57 / Avg: 3.6 / Max: 3.63 Min: 3.26 / Avg: 3.27 / Max: 3.3 Min: 3.27 / Avg: 3.29 / Max: 3.3 Min: 3.69 / Avg: 3.7 / Max: 3.7 Min: 3.12 / Avg: 3.14 / Max: 3.17 Min: 3.32 / Avg: 3.33 / Max: 3.35 Min: 3.55 / Avg: 3.57 / Max: 3.59 Min: 3.44 / Avg: 3.46 / Max: 3.49 Min: 3.31 / Avg: 3.31 / Max: 3.32 Min: 5.26 / Avg: 5.28 / Max: 5.3 Min: 3.85 / Avg: 3.91 / Max: 3.96 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 20K 40K 60K 80K 100K SE +/- 4.03, N = 5 SE +/- 44.14, N = 5 SE +/- 18.90, N = 5 SE +/- 17.33, N = 5 SE +/- 8.29, N = 5 SE +/- 12.35, N = 5 SE +/- 95.95, N = 5 SE +/- 18.59, N = 5 SE +/- 29.22, N = 5 SE +/- 9.61, N = 5 SE +/- 15.47, N = 5 SE +/- 18.47, N = 5 SE +/- 16.43, N = 5 SE +/- 31.32, N = 5 SE +/- 26.54, N = 5 SE +/- 27.85, N = 5 SE +/- 145.28, N = 5 SE +/- 17.48, N = 5 SE +/- 27.65, N = 5 SE +/- 14.97, N = 5 56973.5 56552.7 89746.0 55696.1 55485.1 88008.9 86384.2 87137.3 86940.2 87013.3 86951.1 98566.4 87010.8 96255.6 98124.1 97473.2 96867.4 89222.7 99400.2 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 20K 40K 60K 80K 100K Min: 56958.2 / Avg: 56973.52 / Max: 56980.1 Min: 56402.9 / Avg: 56552.7 / Max: 56673.4 Min: 89676.2 / Avg: 89746.04 / Max: 89780.1 Min: 55667.7 / Avg: 55696.1 / Max: 55762 Min: 55463.1 / Avg: 55485.12 / Max: 55514.5 Min: 87976.2 / Avg: 88008.86 / Max: 88050.9 Min: 86095.1 / Avg: 86384.16 / Max: 86677.1 Min: 87066.9 / Avg: 87137.32 / Max: 87168.7 Min: 86849.1 / Avg: 86940.18 / Max: 87029.3 Min: 86981.9 / Avg: 87013.34 / Max: 87042.1 Min: 86894.1 / Avg: 86951.12 / Max: 86978.2 Min: 98509.9 / Avg: 98566.42 / Max: 98618.9 Min: 86947.4 / Avg: 87010.8 / Max: 87038.3 Min: 96153.7 / Avg: 96255.6 / Max: 96319.3 Min: 98047.4 / Avg: 98124.06 / Max: 98175.5 Min: 97374.9 / Avg: 97473.24 / Max: 97525.9 Min: 96350.6 / Avg: 96867.36 / Max: 97091.3 Min: 89186 / Avg: 89222.66 / Max: 89285.6 Min: 99329.3 / Avg: 99400.16 / Max: 99494.2 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 20K 40K 60K 80K 100K SE +/- 17.43, N = 5 SE +/- 45.85, N = 5 SE +/- 26.46, N = 5 SE +/- 26.50, N = 5 SE +/- 12.22, N = 5 SE +/- 33.32, N = 5 SE +/- 107.49, N = 5 SE +/- 20.95, N = 5 SE +/- 34.50, N = 5 SE +/- 18.84, N = 5 SE +/- 35.41, N = 5 SE +/- 19.39, N = 5 SE +/- 22.40, N = 5 SE +/- 33.78, N = 5 SE +/- 51.61, N = 5 SE +/- 50.29, N = 5 SE +/- 88.18, N = 5 SE +/- 60.32, N = 5 SE +/- 97.97, N = 5 SE +/- 8.10, N = 5 52916.0 52614.3 82753.0 51795.4 51214.0 80191.9 78936.4 79498.2 78981.2 79082.1 79087.5 90222.2 78989.7 87456.3 89250.4 88346.1 87987.8 81891.4 91285.9 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 16K 32K 48K 64K 80K Min: 52874.9 / Avg: 52915.96 / Max: 52971.3 Min: 52481.3 / Avg: 52614.34 / Max: 52732.4 Min: 82700.4 / Avg: 82753.02 / Max: 82849.4 Min: 51724.9 / Avg: 51795.42 / Max: 51860.4 Min: 51177 / Avg: 51214 / Max: 51245.7 Min: 80111.8 / Avg: 80191.92 / Max: 80273.8 Min: 78534.9 / Avg: 78936.38 / Max: 79176.1 Min: 79424.4 / Avg: 79498.2 / Max: 79534.5 Min: 78875.5 / Avg: 78981.18 / Max: 79054.8 Min: 79043.7 / Avg: 79082.08 / Max: 79153.7 Min: 78996.2 / Avg: 79087.5 / Max: 79204.1 Min: 90166.2 / Avg: 90222.16 / Max: 90277.7 Min: 78922.8 / Avg: 78989.74 / Max: 79043.7 Min: 87379.1 / Avg: 87456.34 / Max: 87579.8 Min: 89101.9 / Avg: 89250.36 / Max: 89401 Min: 88183.9 / Avg: 88346.14 / Max: 88465.3 Min: 87752.7 / Avg: 87987.76 / Max: 88246.6 Min: 81779.2 / Avg: 81891.38 / Max: 82097.4 Min: 90897.7 / Avg: 91285.88 / Max: 91424 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7F32 EPYC 7F52 EPYC 7F72 20 40 60 80 100 SE +/- 0.38, N = 3 SE +/- 0.35, N = 3 SE +/- 0.06, N = 3 SE +/- 0.25, N = 3 SE +/- 0.27, N = 3 SE +/- 0.16, N = 3 SE +/- 0.36, N = 3 SE +/- 0.08, N = 3 SE +/- 0.26, N = 3 SE +/- 0.18, N = 3 SE +/- 0.13, N = 3 SE +/- 0.39, N = 3 SE +/- 0.22, N = 3 SE +/- 0.12, N = 3 SE +/- 0.19, N = 3 SE +/- 0.21, N = 3 109.66 111.13 103.24 88.74 79.29 75.21 76.78 68.80 67.94 66.24 66.64 68.96 64.52 89.80 63.82 62.56 1. (CXX) g++ options: -O3 -fPIC
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.7.3 Encoder Speed: 0 EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7F32 EPYC 7F52 EPYC 7F72 20 40 60 80 100 Min: 109.05 / Avg: 109.66 / Max: 110.37 Min: 110.64 / Avg: 111.13 / Max: 111.79 Min: 103.16 / Avg: 103.24 / Max: 103.35 Min: 88.3 / Avg: 88.74 / Max: 89.16 Min: 78.76 / Avg: 79.29 / Max: 79.57 Min: 74.93 / Avg: 75.21 / Max: 75.47 Min: 76.12 / Avg: 76.78 / Max: 77.36 Min: 68.66 / Avg: 68.8 / Max: 68.93 Min: 67.52 / Avg: 67.94 / Max: 68.41 Min: 66.05 / Avg: 66.24 / Max: 66.59 Min: 66.44 / Avg: 66.64 / Max: 66.88 Min: 68.24 / Avg: 68.96 / Max: 69.6 Min: 64.27 / Avg: 64.51 / Max: 64.96 Min: 89.62 / Avg: 89.8 / Max: 90.03 Min: 63.45 / Avg: 63.82 / Max: 64.1 Min: 62.19 / Avg: 62.56 / Max: 62.91 1. (CXX) g++ options: -O3 -fPIC
DaCapo Benchmark This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 9.12-MR1 Java Test: H2 EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 1400 2800 4200 5600 7000 SE +/- 38.97, N = 4 SE +/- 52.81, N = 4 SE +/- 63.10, N = 4 SE +/- 45.90, N = 4 SE +/- 43.33, N = 4 SE +/- 30.25, N = 4 SE +/- 52.55, N = 4 SE +/- 40.00, N = 4 SE +/- 70.51, N = 4 SE +/- 35.97, N = 4 SE +/- 20.63, N = 4 SE +/- 37.98, N = 4 SE +/- 22.38, N = 4 SE +/- 38.12, N = 4 SE +/- 41.17, N = 4 SE +/- 31.24, N = 4 SE +/- 69.19, N = 4 SE +/- 38.45, N = 4 SE +/- 44.91, N = 4 SE +/- 29.68, N = 4 4712 4541 4433 4856 5029 5051 5633 5457 5754 5808 5727 5856 5713 6270 6196 6596 6443 3724 3856 4123
Result Confidence
OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 9.12-MR1 Java Test: H2 EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 1100 2200 3300 4400 5500 Min: 4618 / Avg: 4712 / Max: 4803 Min: 4417 / Avg: 4540.5 / Max: 4664 Min: 4326 / Avg: 4433.25 / Max: 4587 Min: 4734 / Avg: 4855.75 / Max: 4957 Min: 4903 / Avg: 5028.5 / Max: 5102 Min: 4966 / Avg: 5050.75 / Max: 5105 Min: 5484 / Avg: 5633 / Max: 5724 Min: 5386 / Avg: 5457.25 / Max: 5529 Min: 5574 / Avg: 5753.75 / Max: 5903 Min: 5746 / Avg: 5807.5 / Max: 5908 Min: 5686 / Avg: 5727 / Max: 5764 Min: 5756 / Avg: 5855.5 / Max: 5939 Min: 5658 / Avg: 5712.5 / Max: 5753 Min: 6211 / Avg: 6270 / Max: 6381 Min: 6082 / Avg: 6195.75 / Max: 6270 Min: 6503 / Avg: 6595.5 / Max: 6640 Min: 6285 / Avg: 6442.5 / Max: 6622 Min: 3675 / Avg: 3724.25 / Max: 3839 Min: 3739 / Avg: 3856 / Max: 3927 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 5K 10K 15K 20K 25K SE +/- 118.88, N = 3 SE +/- 42.70, N = 3 SE +/- 211.99, N = 3 SE +/- 323.02, N = 3 SE +/- 217.91, N = 3 SE +/- 240.93, N = 3 SE +/- 239.42, N = 3 SE +/- 159.08, N = 3 SE +/- 259.43, N = 4 SE +/- 155.52, N = 12 SE +/- 142.85, N = 3 SE +/- 72.02, N = 3 SE +/- 280.35, N = 3 SE +/- 221.68, N = 5 SE +/- 43.29, N = 3 SE +/- 280.41, N = 3 SE +/- 122.79, N = 13 SE +/- 110.61, N = 3 SE +/- 319.14, N = 3 SE +/- 187.50, N = 3 21863.96 20799.73 19338.54 19909.57 20819.97 19739.79 15123.65 18249.35 18480.81 18522.93 17798.97 13145.41 19075.07 18207.44 17395.25 16873.45 15257.55 23233.00 21582.81 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 4K 8K 12K 16K 20K Min: 21744.25 / Avg: 21863.96 / Max: 22101.73 Min: 20746.03 / Avg: 20799.73 / Max: 20884.09 Min: 18915.03 / Avg: 19338.54 / Max: 19567.68 Min: 19512.83 / Avg: 19909.57 / Max: 20549.49 Min: 20414.34 / Avg: 20819.97 / Max: 21160.81 Min: 19334.26 / Avg: 19739.79 / Max: 20167.93 Min: 14646.18 / Avg: 15123.65 / Max: 15393.69 Min: 18085.74 / Avg: 18249.35 / Max: 18567.46 Min: 17861.61 / Avg: 18480.81 / Max: 18982.48 Min: 17705.49 / Avg: 18522.93 / Max: 19423.51 Min: 17553.05 / Avg: 17798.97 / Max: 18047.88 Min: 13030.5 / Avg: 13145.41 / Max: 13278.1 Min: 18515.2 / Avg: 19075.07 / Max: 19381.66 Min: 17459.27 / Avg: 18207.44 / Max: 18715.49 Min: 17319.17 / Avg: 17395.25 / Max: 17469.08 Min: 16389.37 / Avg: 16873.45 / Max: 17360.71 Min: 14565.09 / Avg: 15257.55 / Max: 16057.81 Min: 23060.25 / Avg: 23233 / Max: 23439.06 Min: 21033.37 / Avg: 21582.81 / Max: 22138.83 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 110K 220K 330K 440K 550K SE +/- 988.10, N = 3 SE +/- 333.77, N = 3 SE +/- 317.40, N = 3 SE +/- 553.73, N = 3 SE +/- 1069.53, N = 3 SE +/- 387.43, N = 3 SE +/- 153.43, N = 3 SE +/- 5200.29, N = 3 SE +/- 3875.11, N = 3 SE +/- 4362.99, N = 3 SE +/- 4653.97, N = 3 SE +/- 526.59, N = 3 SE +/- 5397.86, N = 3 SE +/- 2254.42, N = 3 SE +/- 2100.86, N = 3 SE +/- 1968.01, N = 3 SE +/- 1889.52, N = 3 SE +/- 151.23, N = 3 SE +/- 454.86, N = 3 SE +/- 296.51, N = 3 289487.99 338725.99 442279.44 416979.46 394488.53 337766.57 387954.79 434178.88 400360.82 406779.77 406722.26 335428.63 408037.40 399369.85 424385.84 403206.36 402875.35 509178.11 509785.83 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 90K 180K 270K 360K 450K Min: 287852.67 / Avg: 289487.99 / Max: 291266.56 Min: 338338.48 / Avg: 338725.99 / Max: 339390.48 Min: 441671.08 / Avg: 442279.44 / Max: 442740.63 Min: 416080.83 / Avg: 416979.46 / Max: 417989.3 Min: 392385.92 / Avg: 394488.53 / Max: 395880.4 Min: 337027.91 / Avg: 337766.57 / Max: 338338.6 Min: 387663.63 / Avg: 387954.79 / Max: 388184.29 Min: 424348.06 / Avg: 434178.88 / Max: 442034.56 Min: 392650.92 / Avg: 400360.82 / Max: 404899.47 Min: 398632.17 / Avg: 406779.77 / Max: 413559.03 Min: 397939.88 / Avg: 406722.26 / Max: 413783.79 Min: 334600.86 / Avg: 335428.63 / Max: 336406.41 Min: 398157.78 / Avg: 408037.4 / Max: 416746.25 Min: 395001.31 / Avg: 399369.85 / Max: 402520.6 Min: 420677.52 / Avg: 424385.84 / Max: 427950.88 Min: 399300.05 / Avg: 403206.36 / Max: 405577.63 Min: 399272.4 / Avg: 402875.35 / Max: 405664.23 Min: 508921.37 / Avg: 509178.11 / Max: 509444.95 Min: 509318.56 / Avg: 509785.83 / Max: 510695.43 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7F32 EPYC 7F52 EPYC 7F72 15 30 45 60 75 SE +/- 0.29, N = 3 SE +/- 0.15, N = 3 SE +/- 0.10, N = 3 SE +/- 0.18, N = 3 SE +/- 0.23, N = 3 SE +/- 0.21, N = 3 SE +/- 0.10, N = 3 SE +/- 0.02, N = 3 SE +/- 0.10, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.18, N = 3 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 SE +/- 0.19, N = 3 SE +/- 0.05, N = 3 65.94 66.32 62.01 53.88 47.51 45.25 46.33 41.26 40.97 40.03 40.00 41.28 38.73 53.95 38.59 37.70 1. (CXX) g++ options: -O3 -fPIC
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.7.3 Encoder Speed: 2 EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7F32 EPYC 7F52 EPYC 7F72 13 26 39 52 65 Min: 65.38 / Avg: 65.94 / Max: 66.34 Min: 66.03 / Avg: 66.32 / Max: 66.54 Min: 61.82 / Avg: 62.01 / Max: 62.12 Min: 53.6 / Avg: 53.88 / Max: 54.21 Min: 47.21 / Avg: 47.51 / Max: 47.96 Min: 44.95 / Avg: 45.25 / Max: 45.64 Min: 46.14 / Avg: 46.33 / Max: 46.45 Min: 41.22 / Avg: 41.26 / Max: 41.28 Min: 40.77 / Avg: 40.97 / Max: 41.1 Min: 39.98 / Avg: 40.03 / Max: 40.08 Min: 39.91 / Avg: 40 / Max: 40.04 Min: 41.04 / Avg: 41.28 / Max: 41.64 Min: 38.64 / Avg: 38.72 / Max: 38.81 Min: 53.84 / Avg: 53.95 / Max: 54.03 Min: 38.31 / Avg: 38.59 / Max: 38.96 Min: 37.64 / Avg: 37.7 / Max: 37.8 1. (CXX) g++ options: -O3 -fPIC
Appleseed Appleseed is an open-source production renderer focused on physically-based global illumination rendering engine primarily designed for animation and visual effects. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Appleseed 2.0 Beta Scene: Material Tester EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 60 120 180 240 300 294.77 288.52 283.43 216.88 187.00 192.27 181.45 171.91 174.46 169.79 169.80 182.49 168.49 178.69 180.85 178.64 179.75 258.08 190.98 173.88
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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 3 6 9 12 15 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 5.51 5.62 5.29 9.16 8.40 8.07 7.89 7.25 7.13 6.98 6.99 7.14 6.81 6.76 6.75 6.62 6.58 8.84 6.85 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 3 6 9 12 15 Min: 5.51 / Avg: 5.51 / Max: 5.52 Min: 5.61 / Avg: 5.62 / Max: 5.62 Min: 5.29 / Avg: 5.29 / Max: 5.3 Min: 9.14 / Avg: 9.16 / Max: 9.18 Min: 8.38 / Avg: 8.4 / Max: 8.43 Min: 8.05 / Avg: 8.07 / Max: 8.09 Min: 7.87 / Avg: 7.89 / Max: 7.9 Min: 7.24 / Avg: 7.25 / Max: 7.26 Min: 7.12 / Avg: 7.13 / Max: 7.15 Min: 6.97 / Avg: 6.98 / Max: 7 Min: 6.97 / Avg: 6.99 / Max: 7 Min: 7.13 / Avg: 7.14 / Max: 7.15 Min: 6.8 / Avg: 6.81 / Max: 6.81 Min: 6.74 / Avg: 6.76 / Max: 6.78 Min: 6.73 / Avg: 6.75 / Max: 6.77 Min: 6.6 / Avg: 6.62 / Max: 6.66 Min: 6.57 / Avg: 6.58 / Max: 6.6 Min: 8.82 / Avg: 8.84 / Max: 8.85 Min: 6.84 / Avg: 6.85 / Max: 6.86 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 20 40 60 80 100 SE +/- 0.07, N = 3 SE +/- 0.22, N = 3 SE +/- 0.19, N = 3 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.09, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 SE +/- 0.09, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 79.22 76.74 72.31 64.67 58.62 56.04 54.65 50.64 49.82 48.93 48.84 49.59 47.62 47.22 46.95 46.18 45.96 63.45 47.86 45.82
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed PHP Compilation 7.4.2 Time To Compile EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 15 30 45 60 75 Min: 79.14 / Avg: 79.22 / Max: 79.35 Min: 76.36 / Avg: 76.74 / Max: 77.12 Min: 71.93 / Avg: 72.31 / Max: 72.57 Min: 64.6 / Avg: 64.67 / Max: 64.79 Min: 58.53 / Avg: 58.62 / Max: 58.68 Min: 55.96 / Avg: 56.04 / Max: 56.12 Min: 54.53 / Avg: 54.65 / Max: 54.82 Min: 50.54 / Avg: 50.64 / Max: 50.72 Min: 49.8 / Avg: 49.82 / Max: 49.86 Min: 48.79 / Avg: 48.93 / Max: 49.03 Min: 48.79 / Avg: 48.84 / Max: 48.9 Min: 49.5 / Avg: 49.59 / Max: 49.74 Min: 47.6 / Avg: 47.62 / Max: 47.65 Min: 47.14 / Avg: 47.22 / Max: 47.29 Min: 46.91 / Avg: 46.95 / Max: 47 Min: 46.1 / Avg: 46.18 / Max: 46.3 Min: 45.86 / Avg: 45.96 / Max: 46.04 Min: 63.31 / Avg: 63.45 / Max: 63.6 Min: 47.82 / Avg: 47.86 / Max: 47.88 Min: 45.8 / Avg: 45.82 / Max: 45.84
OCRMyPDF OCRMyPDF is an optical character recognition (OCR) text layer to scanned PDF files, producing new PDFs with the text now selectable/searchable/copy-paste capable. OCRMyPDF leverages the Tesseract OCR engine and is written in Python. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better OCRMyPDF 10.3.1+dfsg Processing 60 Page PDF Document EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 6 12 18 24 30 SE +/- 0.14, N = 3 SE +/- 0.04, N = 3 SE +/- 0.07, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 SE +/- 0.05, N = 3 SE +/- 0.12, N = 3 SE +/- 0.09, N = 3 SE +/- 0.07, N = 3 SE +/- 0.10, N = 3 SE +/- 0.16, N = 3 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 SE +/- 0.10, N = 3 SE +/- 0.07, N = 3 SE +/- 0.11, N = 3 SE +/- 0.07, N = 3 26.47 26.18 24.63 21.84 19.81 18.92 18.48 16.98 16.79 16.32 16.28 16.65 15.86 15.92 15.87 15.91 16.10 21.45 16.13 15.44
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better OCRMyPDF 10.3.1+dfsg Processing 60 Page PDF Document EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 6 12 18 24 30 Min: 26.32 / Avg: 26.47 / Max: 26.75 Min: 26.12 / Avg: 26.18 / Max: 26.25 Min: 24.56 / Avg: 24.63 / Max: 24.77 Min: 21.75 / Avg: 21.84 / Max: 21.96 Min: 19.75 / Avg: 19.81 / Max: 19.86 Min: 18.88 / Avg: 18.92 / Max: 18.95 Min: 18.4 / Avg: 18.48 / Max: 18.57 Min: 16.83 / Avg: 16.98 / Max: 17.08 Min: 16.72 / Avg: 16.79 / Max: 16.88 Min: 16.1 / Avg: 16.32 / Max: 16.52 Min: 16.15 / Avg: 16.28 / Max: 16.44 Min: 16.55 / Avg: 16.65 / Max: 16.77 Min: 15.72 / Avg: 15.86 / Max: 16.06 Min: 15.62 / Avg: 15.92 / Max: 16.18 Min: 15.77 / Avg: 15.87 / Max: 15.96 Min: 15.78 / Avg: 15.91 / Max: 16.06 Min: 15.99 / Avg: 16.1 / Max: 16.31 Min: 21.38 / Avg: 21.45 / Max: 21.59 Min: 15.95 / Avg: 16.13 / Max: 16.32 Min: 15.31 / Avg: 15.44 / Max: 15.53
Zstd Compression This test measures the time needed to compress a sample file (an Ubuntu ISO) using Zstd compression. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.4.5 Compression Level: 3 EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 2K 4K 6K 8K 10K SE +/- 21.13, N = 3 SE +/- 51.10, N = 3 SE +/- 91.17, N = 3 SE +/- 26.82, N = 3 SE +/- 18.60, N = 3 SE +/- 46.59, N = 3 SE +/- 21.51, N = 3 SE +/- 21.95, N = 3 SE +/- 85.19, N = 3 SE +/- 73.24, N = 3 SE +/- 21.22, N = 3 SE +/- 120.12, N = 4 SE +/- 62.39, N = 3 SE +/- 47.55, N = 3 SE +/- 41.92, N = 3 SE +/- 34.11, N = 3 SE +/- 33.91, N = 3 SE +/- 94.23, N = 3 SE +/- 56.37, N = 3 SE +/- 19.00, N = 3 4992.3 5603.3 6043.6 6268.0 6630.5 7464.0 7663.0 7898.1 7704.5 7798.1 7843.2 8078.1 7767.9 8211.2 8485.3 8321.8 8339.1 6299.5 8021.9 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 1500 3000 4500 6000 7500 Min: 4963.2 / Avg: 4992.3 / Max: 5033.4 Min: 5543.9 / Avg: 5603.27 / Max: 5705 Min: 5931.9 / Avg: 6043.63 / Max: 6224.3 Min: 6238.3 / Avg: 6267.97 / Max: 6321.5 Min: 6604.6 / Avg: 6630.53 / Max: 6666.6 Min: 7410.3 / Avg: 7464 / Max: 7556.8 Min: 7630 / Avg: 7663 / Max: 7703.4 Min: 7872.6 / Avg: 7898.1 / Max: 7941.8 Min: 7601.2 / Avg: 7704.5 / Max: 7873.5 Min: 7708.2 / Avg: 7798.1 / Max: 7943.2 Min: 7818.2 / Avg: 7843.2 / Max: 7885.4 Min: 7939.2 / Avg: 8078.13 / Max: 8437.6 Min: 7675.6 / Avg: 7767.93 / Max: 7886.8 Min: 8157.2 / Avg: 8211.2 / Max: 8306 Min: 8407.9 / Avg: 8485.3 / Max: 8551.9 Min: 8253.7 / Avg: 8321.83 / Max: 8358.7 Min: 8271.3 / Avg: 8339.07 / Max: 8375.2 Min: 6179.4 / Avg: 6299.47 / Max: 6485.3 Min: 7956.8 / Avg: 8021.93 / Max: 8134.2 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 700 1400 2100 2800 3500 1994 1965 1939 2452 2673 2771 2917 3084 3114 3181 3177 3045 3261 3124 3154 3020 2905 2220 3012 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 300 600 900 1200 1500 SE +/- 8.56, N = 3 SE +/- 2.79, N = 3 SE +/- 3.68, N = 3 SE +/- 0.83, N = 3 SE +/- 0.77, N = 4 SE +/- 1.58, N = 3 SE +/- 1.50, N = 3 SE +/- 0.24, N = 5 SE +/- 2.62, N = 3 SE +/- 0.30, N = 4 SE +/- 1.44, N = 3 SE +/- 1.23, N = 3 SE +/- 1.18, N = 3 SE +/- 1.63, N = 3 SE +/- 1.36, N = 3 SE +/- 3.47, N = 3 SE +/- 1.25, N = 3 SE +/- 4.63, N = 3 SE +/- 2.11, N = 3 SE +/- 0.50, N = 3 889 833 743 1114 1240 1041 993 1103 1002 1090 1097 961 1155 1060 1086 1015 1021 876 1105 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 200 400 600 800 1000 Min: 872.6 / Avg: 888.79 / Max: 901.71 Min: 830.56 / Avg: 833.35 / Max: 838.93 Min: 736.92 / Avg: 742.98 / Max: 749.63 Min: 1112.35 / Avg: 1114 / Max: 1114.83 Min: 1237.62 / Avg: 1239.93 / Max: 1240.69 Min: 1038.42 / Avg: 1040.95 / Max: 1043.84 Min: 990.1 / Avg: 993.05 / Max: 995.02 Min: 1102.54 / Avg: 1102.78 / Max: 1103.75 Min: 998 / Avg: 1002.35 / Max: 1007.05 Min: 1089.32 / Avg: 1090.22 / Max: 1090.51 Min: 1094.09 / Avg: 1096.9 / Max: 1098.9 Min: 959.69 / Avg: 960.93 / Max: 963.39 Min: 1153.4 / Avg: 1155.18 / Max: 1157.41 Min: 1057.08 / Avg: 1059.7 / Max: 1062.7 Min: 1083.42 / Avg: 1085.78 / Max: 1088.14 Min: 1008.06 / Avg: 1014.91 / Max: 1019.37 Min: 1019.37 / Avg: 1021.11 / Max: 1023.54 Min: 871.84 / Avg: 876.47 / Max: 885.74 Min: 1101.32 / Avg: 1104.98 / Max: 1108.65 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 2K 4K 6K 8K 10K SE +/- 9.98, N = 3 SE +/- 38.69, N = 3 SE +/- 19.99, N = 3 SE +/- 31.67, N = 3 SE +/- 22.62, N = 3 SE +/- 74.06, N = 3 SE +/- 59.36, N = 3 SE +/- 75.43, N = 3 SE +/- 67.10, N = 3 SE +/- 72.87, N = 3 SE +/- 51.03, N = 3 SE +/- 67.32, N = 3 SE +/- 45.72, N = 3 SE +/- 49.67, N = 3 SE +/- 69.06, N = 3 SE +/- 38.94, N = 3 SE +/- 55.27, N = 3 SE +/- 56.43, N = 3 SE +/- 84.62, N = 3 SE +/- 63.84, N = 3 9011.8 8906.2 9816.4 9002.0 8883.6 9507.9 8470.3 8962.6 8193.8 8254.8 8367.0 8415.7 8456.8 7149.7 7229.5 6361.2 6319.4 10244.2 10471.3 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 2K 4K 6K 8K 10K Min: 8991.8 / Avg: 9011.77 / Max: 9021.9 Min: 8829.1 / Avg: 8906.2 / Max: 8950.5 Min: 9795.6 / Avg: 9816.43 / Max: 9856.4 Min: 8939.4 / Avg: 9002.03 / Max: 9041.5 Min: 8858.7 / Avg: 8883.63 / Max: 8928.8 Min: 9415.7 / Avg: 9507.9 / Max: 9654.4 Min: 8388.4 / Avg: 8470.33 / Max: 8585.7 Min: 8857.8 / Avg: 8962.63 / Max: 9109 Min: 8080 / Avg: 8193.77 / Max: 8312.3 Min: 8159.2 / Avg: 8254.83 / Max: 8397.9 Min: 8286.7 / Avg: 8366.97 / Max: 8461.7 Min: 8327.9 / Avg: 8415.7 / Max: 8548 Min: 8399.3 / Avg: 8456.77 / Max: 8547.1 Min: 7055.1 / Avg: 7149.67 / Max: 7223.3 Min: 7104.2 / Avg: 7229.47 / Max: 7342.5 Min: 6314.4 / Avg: 6361.2 / Max: 6438.5 Min: 6256.4 / Avg: 6319.43 / Max: 6429.6 Min: 10164 / Avg: 10244.23 / Max: 10353.1 Min: 10350.7 / Avg: 10471.27 / Max: 10634.4 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 8 16 24 32 40 SE +/- 0.10, N = 3 SE +/- 0.16, N = 3 SE +/- 0.08, N = 3 SE +/- 0.15, N = 3 SE +/- 0.12, N = 3 SE +/- 0.09, N = 3 SE +/- 0.07, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.14, N = 3 SE +/- 0.07, N = 3 SE +/- 0.08, N = 3 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.10, N = 3 SE +/- 0.08, N = 3 SE +/- 0.08, N = 3 SE +/- 0.08, N = 3 34.95 34.04 32.94 26.16 24.49 22.99 23.54 22.50 22.62 22.50 22.56 22.44 22.45 22.52 21.89 21.84 22.09 30.46 21.12 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 7 14 21 28 35 Min: 34.83 / Avg: 34.95 / Max: 35.15 Min: 33.76 / Avg: 34.04 / Max: 34.3 Min: 32.82 / Avg: 32.94 / Max: 33.1 Min: 25.92 / Avg: 26.16 / Max: 26.43 Min: 24.37 / Avg: 24.49 / Max: 24.73 Min: 22.8 / Avg: 22.99 / Max: 23.09 Min: 23.46 / Avg: 23.54 / Max: 23.67 Min: 22.46 / Avg: 22.5 / Max: 22.57 Min: 22.57 / Avg: 22.62 / Max: 22.72 Min: 22.42 / Avg: 22.5 / Max: 22.59 Min: 22.52 / Avg: 22.56 / Max: 22.59 Min: 22.27 / Avg: 22.44 / Max: 22.73 Min: 22.36 / Avg: 22.45 / Max: 22.59 Min: 22.4 / Avg: 22.52 / Max: 22.67 Min: 21.8 / Avg: 21.89 / Max: 22.01 Min: 21.78 / Avg: 21.84 / Max: 21.91 Min: 21.93 / Avg: 22.09 / Max: 22.28 Min: 30.32 / Avg: 30.46 / Max: 30.59 Min: 20.98 / Avg: 21.12 / Max: 21.25 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 3 6 9 12 15 SE +/- 0.1578188, N = 3 SE +/- 0.0080390, N = 3 SE +/- 0.1052585, N = 15 SE +/- 0.0051250, N = 3 SE +/- 0.0043546, N = 3 SE +/- 0.0059694, N = 3 SE +/- 0.0031335, N = 3 SE +/- 0.0002745, N = 3 SE +/- 0.0003677, N = 3 SE +/- 0.0000619, N = 3 SE +/- 0.0018526, N = 3 SE +/- 0.0009813, N = 3 SE +/- 0.0005818, N = 3 SE +/- 0.0010920, N = 3 SE +/- 0.0011629, N = 3 SE +/- 0.0033424, N = 3 SE +/- 0.0024663, N = 3 SE +/- 0.0121655, N = 3 SE +/- 0.0017475, N = 3 SE +/- 0.0065112, N = 3 11.8314800 8.2625257 10.9138750 7.7575322 7.7021942 7.9071273 7.1588623 7.8200074 7.5321392 7.6941152 7.6937696 7.5875978 7.7384578 7.3683532 7.4229073 7.5164994 7.4761666 9.5929839 9.2130346 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 3 6 9 12 15 Min: 11.56 / Avg: 11.83 / Max: 12.1 Min: 8.25 / Avg: 8.26 / Max: 8.27 Min: 10.14 / Avg: 10.91 / Max: 11.48 Min: 7.75 / Avg: 7.76 / Max: 7.77 Min: 7.7 / Avg: 7.7 / Max: 7.71 Min: 7.9 / Avg: 7.91 / Max: 7.92 Min: 7.15 / Avg: 7.16 / Max: 7.16 Min: 7.82 / Avg: 7.82 / Max: 7.82 Min: 7.53 / Avg: 7.53 / Max: 7.53 Min: 7.69 / Avg: 7.69 / Max: 7.69 Min: 7.69 / Avg: 7.69 / Max: 7.7 Min: 7.59 / Avg: 7.59 / Max: 7.59 Min: 7.74 / Avg: 7.74 / Max: 7.74 Min: 7.37 / Avg: 7.37 / Max: 7.37 Min: 7.42 / Avg: 7.42 / Max: 7.43 Min: 7.51 / Avg: 7.52 / Max: 7.52 Min: 7.47 / Avg: 7.48 / Max: 7.48 Min: 9.57 / Avg: 9.59 / Max: 9.62 Min: 9.21 / Avg: 9.21 / Max: 9.22 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 6K 12K 18K 24K 30K SE +/- 47.49, N = 3 SE +/- 100.89, N = 3 SE +/- 75.97, N = 3 SE +/- 97.96, N = 3 SE +/- 44.63, N = 3 SE +/- 20.70, N = 3 SE +/- 61.43, N = 3 SE +/- 15.63, N = 3 SE +/- 72.06, N = 3 SE +/- 86.74, N = 3 SE +/- 109.61, N = 3 SE +/- 43.10, N = 3 SE +/- 181.28, N = 3 SE +/- 56.11, N = 3 SE +/- 73.41, N = 3 SE +/- 145.91, N = 3 SE +/- 87.51, N = 3 SE +/- 107.90, N = 3 SE +/- 72.55, N = 3 SE +/- 64.18, N = 3 19021 19373 16534 23297 24590 22463 22124 22254 22607 24286 24192 22128 24881 25563 24336 25160 27291 17355 24704 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 5K 10K 15K 20K 25K Min: 18944.83 / Avg: 19021.17 / Max: 19108.28 Min: 19243.58 / Avg: 19373.27 / Max: 19571.98 Min: 16433.25 / Avg: 16534.17 / Max: 16683 Min: 23109.48 / Avg: 23296.72 / Max: 23440.29 Min: 24500.86 / Avg: 24589.57 / Max: 24642.44 Min: 22428.64 / Avg: 22463.42 / Max: 22500.27 Min: 22014.04 / Avg: 22124.27 / Max: 22226.37 Min: 22230.64 / Avg: 22254.24 / Max: 22283.78 Min: 22463.24 / Avg: 22606.6 / Max: 22691.08 Min: 24138.58 / Avg: 24285.77 / Max: 24438.88 Min: 24059.94 / Avg: 24191.65 / Max: 24409.26 Min: 22045.04 / Avg: 22127.67 / Max: 22190.26 Min: 24567.9 / Avg: 24881.03 / Max: 25195.86 Min: 25457.36 / Avg: 25562.69 / Max: 25648.86 Min: 24218.24 / Avg: 24335.92 / Max: 24470.79 Min: 24878.09 / Avg: 25160.16 / Max: 25366 Min: 27122.42 / Avg: 27290.81 / Max: 27416.33 Min: 17168.07 / Avg: 17355.07 / Max: 17541.86 Min: 24560.91 / Avg: 24703.66 / Max: 24797.53 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 0.6806 1.3612 2.0418 2.7224 3.403 SE +/- 0.007, N = 3 SE +/- 0.014, N = 3 SE +/- 0.014, N = 3 SE +/- 0.009, N = 3 SE +/- 0.004, N = 3 SE +/- 0.002, N = 3 SE +/- 0.006, N = 3 SE +/- 0.001, N = 3 SE +/- 0.007, N = 3 SE +/- 0.007, N = 3 SE +/- 0.009, N = 3 SE +/- 0.004, N = 3 SE +/- 0.015, N = 3 SE +/- 0.004, N = 3 SE +/- 0.006, N = 3 SE +/- 0.012, N = 3 SE +/- 0.006, N = 3 SE +/- 0.018, N = 3 SE +/- 0.006, N = 3 SE +/- 0.006, N = 3 2.629 2.582 3.025 2.147 2.034 2.227 2.261 2.248 2.213 2.060 2.068 2.260 2.010 1.957 2.055 1.988 1.833 2.882 2.025 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 2 4 6 8 10 Min: 2.62 / Avg: 2.63 / Max: 2.64 Min: 2.56 / Avg: 2.58 / Max: 2.6 Min: 3 / Avg: 3.03 / Max: 3.04 Min: 2.13 / Avg: 2.15 / Max: 2.16 Min: 2.03 / Avg: 2.03 / Max: 2.04 Min: 2.22 / Avg: 2.23 / Max: 2.23 Min: 2.25 / Avg: 2.26 / Max: 2.27 Min: 2.25 / Avg: 2.25 / Max: 2.25 Min: 2.2 / Avg: 2.21 / Max: 2.23 Min: 2.05 / Avg: 2.06 / Max: 2.07 Min: 2.05 / Avg: 2.07 / Max: 2.08 Min: 2.25 / Avg: 2.26 / Max: 2.27 Min: 1.99 / Avg: 2.01 / Max: 2.04 Min: 1.95 / Avg: 1.96 / Max: 1.97 Min: 2.04 / Avg: 2.06 / Max: 2.07 Min: 1.97 / Avg: 1.99 / Max: 2.01 Min: 1.82 / Avg: 1.83 / Max: 1.84 Min: 2.85 / Avg: 2.88 / Max: 2.91 Min: 2.02 / Avg: 2.02 / Max: 2.04 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 1400 2800 4200 5600 7000 SE +/- 13.17, N = 3 SE +/- 10.37, N = 3 SE +/- 8.67, N = 3 SE +/- 16.34, N = 3 SE +/- 12.17, N = 3 SE +/- 9.79, N = 3 SE +/- 9.00, N = 3 SE +/- 10.46, N = 3 SE +/- 17.05, N = 3 SE +/- 10.70, N = 3 SE +/- 10.82, N = 3 SE +/- 9.90, N = 3 SE +/- 11.74, N = 3 SE +/- 10.23, N = 3 SE +/- 10.70, N = 3 SE +/- 23.78, N = 3 SE +/- 16.34, N = 3 SE +/- 7.11, N = 3 SE +/- 13.44, N = 3 SE +/- 22.84, N = 3 4438 4237 3876 5319 6048 5425 5199 5608 5435 5660 5703 5445 5941 5535 5671 5200 5319 4615 6343 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 1100 2200 3300 4400 5500 Min: 4424.78 / Avg: 4437.95 / Max: 4464.29 Min: 4219.41 / Avg: 4237.34 / Max: 4255.32 Min: 3861 / Avg: 3876.01 / Max: 3891.05 Min: 5291.01 / Avg: 5319.25 / Max: 5347.59 Min: 6024.1 / Avg: 6048.44 / Max: 6060.61 Min: 5405.41 / Avg: 5424.99 / Max: 5434.78 Min: 5181.35 / Avg: 5199.34 / Max: 5208.33 Min: 5586.59 / Avg: 5607.52 / Max: 5617.98 Min: 5405.41 / Avg: 5434.89 / Max: 5464.48 Min: 5649.72 / Avg: 5660.42 / Max: 5681.82 Min: 5681.82 / Avg: 5703.46 / Max: 5714.29 Min: 5434.78 / Avg: 5444.68 / Max: 5464.48 Min: 5917.16 / Avg: 5940.64 / Max: 5952.38 Min: 5524.86 / Avg: 5535.09 / Max: 5555.56 Min: 5649.72 / Avg: 5671.12 / Max: 5681.82 Min: 5154.64 / Avg: 5199.52 / Max: 5235.6 Min: 5291.01 / Avg: 5319.25 / Max: 5347.59 Min: 4608.29 / Avg: 4615.41 / Max: 4629.63 Min: 6329.11 / Avg: 6342.55 / Max: 6369.43 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 14 28 42 56 70 SE +/- 0.04, N = 3 SE +/- 0.37, N = 3 SE +/- 0.09, N = 3 SE +/- 0.17, N = 3 SE +/- 0.19, N = 3 SE +/- 0.14, N = 3 SE +/- 0.07, N = 3 SE +/- 0.06, N = 3 SE +/- 0.10, N = 3 SE +/- 0.08, N = 3 SE +/- 0.16, N = 3 SE +/- 0.21, N = 3 SE +/- 0.20, N = 3 SE +/- 0.17, N = 3 SE +/- 0.20, N = 3 SE +/- 0.20, N = 3 SE +/- 0.19, N = 3 SE +/- 0.27, N = 3 SE +/- 0.15, N = 3 SE +/- 0.22, N = 3 38.59 38.71 40.39 46.60 49.38 50.25 46.49 51.07 48.90 49.28 49.53 48.40 52.50 48.81 48.97 47.76 47.36 47.12 61.96 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 12 24 36 48 60 Min: 38.52 / Avg: 38.59 / Max: 38.66 Min: 37.98 / Avg: 38.71 / Max: 39.2 Min: 40.24 / Avg: 40.39 / Max: 40.54 Min: 46.28 / Avg: 46.6 / Max: 46.88 Min: 49.02 / Avg: 49.38 / Max: 49.67 Min: 50.1 / Avg: 50.25 / Max: 50.53 Min: 46.36 / Avg: 46.49 / Max: 46.6 Min: 51 / Avg: 51.07 / Max: 51.18 Min: 48.74 / Avg: 48.9 / Max: 49.08 Min: 49.16 / Avg: 49.28 / Max: 49.44 Min: 49.3 / Avg: 49.53 / Max: 49.85 Min: 48.01 / Avg: 48.4 / Max: 48.72 Min: 52.25 / Avg: 52.5 / Max: 52.9 Min: 48.52 / Avg: 48.81 / Max: 49.11 Min: 48.6 / Avg: 48.97 / Max: 49.3 Min: 47.4 / Avg: 47.76 / Max: 48.09 Min: 47.1 / Avg: 47.36 / Max: 47.72 Min: 46.64 / Avg: 47.12 / Max: 47.59 Min: 61.73 / Avg: 61.96 / Max: 62.25 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 13 26 39 52 65 SE +/- 0.22, N = 3 SE +/- 0.09, N = 3 SE +/- 0.31, N = 3 SE +/- 0.25, N = 3 SE +/- 0.10, N = 3 SE +/- 0.11, N = 3 SE +/- 0.15, N = 3 SE +/- 0.14, N = 3 SE +/- 0.09, N = 3 SE +/- 0.06, N = 3 SE +/- 0.15, N = 3 SE +/- 0.06, N = 3 SE +/- 0.16, N = 3 SE +/- 0.12, N = 3 SE +/- 0.06, N = 3 SE +/- 0.17, N = 3 SE +/- 0.25, N = 3 SE +/- 0.68, N = 3 SE +/- 0.13, N = 3 37.45 37.92 39.72 46.17 47.76 48.64 46.48 50.06 48.18 48.43 48.62 47.41 51.25 48.42 47.91 47.29 47.04 46.25 60.10 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better x265 3.4 Video Input: Bosphorus 1080p EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 12 24 36 48 60 Min: 37.05 / Avg: 37.45 / Max: 37.82 Min: 37.75 / Avg: 37.92 / Max: 38.03 Min: 39.28 / Avg: 39.72 / Max: 40.31 Min: 45.74 / Avg: 46.17 / Max: 46.61 Min: 47.56 / Avg: 47.76 / Max: 47.91 Min: 48.42 / Avg: 48.64 / Max: 48.79 Min: 46.29 / Avg: 46.48 / Max: 46.78 Min: 49.8 / Avg: 50.06 / Max: 50.28 Min: 48.01 / Avg: 48.18 / Max: 48.3 Min: 48.32 / Avg: 48.43 / Max: 48.49 Min: 48.35 / Avg: 48.62 / Max: 48.86 Min: 47.31 / Avg: 47.41 / Max: 47.53 Min: 50.96 / Avg: 51.25 / Max: 51.53 Min: 48.22 / Avg: 48.42 / Max: 48.64 Min: 47.82 / Avg: 47.91 / Max: 48.03 Min: 46.94 / Avg: 47.29 / Max: 47.49 Min: 46.56 / Avg: 47.04 / Max: 47.4 Min: 45.22 / Avg: 46.25 / Max: 47.52 Min: 59.89 / Avg: 60.1 / Max: 60.35 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
Mlpack Benchmark Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_qda EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 12 24 36 48 60 SE +/- 0.10, N = 3 SE +/- 0.41, N = 3 SE +/- 0.53, N = 3 SE +/- 0.56, N = 3 SE +/- 0.29, N = 3 SE +/- 0.17, N = 3 SE +/- 0.32, N = 3 SE +/- 0.46, N = 3 SE +/- 0.72, N = 13 SE +/- 0.52, N = 3 SE +/- 0.16, N = 3 SE +/- 0.32, N = 3 SE +/- 0.69, N = 5 SE +/- 0.45, N = 3 SE +/- 0.29, N = 3 SE +/- 0.25, N = 3 SE +/- 0.59, N = 3 SE +/- 0.07, N = 3 SE +/- 0.36, N = 3 SE +/- 0.63, N = 4 54.74 53.94 47.35 52.38 51.62 41.93 49.89 47.22 53.59 52.80 46.62 44.73 51.37 43.44 40.55 37.63 39.09 43.80 34.19 43.04
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_qda EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 11 22 33 44 55 Min: 54.55 / Avg: 54.74 / Max: 54.9 Min: 53.23 / Avg: 53.94 / Max: 54.63 Min: 46.51 / Avg: 47.35 / Max: 48.33 Min: 51.61 / Avg: 52.38 / Max: 53.46 Min: 51.09 / Avg: 51.62 / Max: 52.07 Min: 41.6 / Avg: 41.93 / Max: 42.12 Min: 49.33 / Avg: 49.89 / Max: 50.44 Min: 46.51 / Avg: 47.22 / Max: 48.09 Min: 46.74 / Avg: 53.59 / Max: 57.7 Min: 51.87 / Avg: 52.8 / Max: 53.67 Min: 46.43 / Avg: 46.62 / Max: 46.93 Min: 44.1 / Avg: 44.73 / Max: 45.17 Min: 49.55 / Avg: 51.37 / Max: 53.43 Min: 42.62 / Avg: 43.44 / Max: 44.16 Min: 40.06 / Avg: 40.55 / Max: 41.07 Min: 37.26 / Avg: 37.63 / Max: 38.09 Min: 38.42 / Avg: 39.09 / Max: 40.26 Min: 43.68 / Avg: 43.8 / Max: 43.92 Min: 33.77 / Avg: 34.19 / Max: 34.92 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 1600 3200 4800 6400 8000 SE +/- 23.71, N = 4 SE +/- 67.27, N = 4 SE +/- 24.61, N = 4 SE +/- 49.93, N = 4 SE +/- 46.47, N = 4 SE +/- 14.21, N = 4 SE +/- 61.44, N = 4 SE +/- 42.04, N = 4 SE +/- 20.46, N = 4 SE +/- 31.28, N = 4 SE +/- 24.99, N = 4 SE +/- 36.18, N = 4 SE +/- 46.36, N = 4 SE +/- 54.16, N = 4 SE +/- 33.92, N = 4 SE +/- 37.54, N = 4 SE +/- 16.56, N = 4 SE +/- 27.00, N = 4 SE +/- 34.74, N = 4 SE +/- 13.19, N = 4 5516 5292 5924 5998 6581 7242 7227 7211 7035 7075 7038 7470 7069 7217 7391 7288 7407 4686 5461 5216
Result Confidence
OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 9.12-MR1 Java Test: Tradebeans EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 1300 2600 3900 5200 6500 Min: 5452 / Avg: 5516.25 / Max: 5566 Min: 5161 / Avg: 5291.5 / Max: 5472 Min: 5879 / Avg: 5923.75 / Max: 5990 Min: 5871 / Avg: 5998.25 / Max: 6100 Min: 6450 / Avg: 6581.25 / Max: 6666 Min: 7204 / Avg: 7241.75 / Max: 7269 Min: 7055 / Avg: 7226.5 / Max: 7343 Min: 7118 / Avg: 7211 / Max: 7313 Min: 6980 / Avg: 7034.5 / Max: 7075 Min: 6986 / Avg: 7074.5 / Max: 7123 Min: 6980 / Avg: 7037.75 / Max: 7095 Min: 7396 / Avg: 7470.25 / Max: 7545 Min: 6961 / Avg: 7069.25 / Max: 7164 Min: 7119 / Avg: 7217.25 / Max: 7313 Min: 7328 / Avg: 7390.5 / Max: 7469 Min: 7188 / Avg: 7287.5 / Max: 7348 Min: 7374 / Avg: 7406.5 / Max: 7446 Min: 4611 / Avg: 4685.5 / Max: 4733 Min: 5376 / Avg: 5461.25 / Max: 5526 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 8 16 24 32 40 SE +/- 0.30, N = 3 SE +/- 0.16, N = 3 SE +/- 0.20, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, 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 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.20, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 32.31 32.82 31.37 28.87 25.14 24.59 24.35 22.41 22.12 21.71 21.74 22.32 21.33 21.23 21.28 20.83 20.77 27.72 21.38 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 7 14 21 28 35 Min: 31.9 / Avg: 32.31 / Max: 32.89 Min: 32.56 / Avg: 32.82 / Max: 33.12 Min: 30.97 / Avg: 31.37 / Max: 31.63 Min: 28.83 / Avg: 28.87 / Max: 28.91 Min: 25.11 / Avg: 25.14 / Max: 25.18 Min: 24.47 / Avg: 24.59 / Max: 24.66 Min: 24.3 / Avg: 24.35 / Max: 24.4 Min: 22.37 / Avg: 22.41 / Max: 22.44 Min: 22.1 / Avg: 22.12 / Max: 22.15 Min: 21.65 / Avg: 21.71 / Max: 21.74 Min: 21.72 / Avg: 21.74 / Max: 21.76 Min: 22.3 / Avg: 22.32 / Max: 22.34 Min: 21.26 / Avg: 21.33 / Max: 21.41 Min: 21.2 / Avg: 21.23 / Max: 21.29 Min: 21.27 / Avg: 21.28 / Max: 21.3 Min: 20.75 / Avg: 20.83 / Max: 20.92 Min: 20.7 / Avg: 20.77 / Max: 20.81 Min: 27.48 / Avg: 27.72 / Max: 28.1 Min: 21.28 / Avg: 21.38 / Max: 21.49 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 0.0003 0.0006 0.0009 0.0012 0.0015 SE +/- 0.00000638, N = 3 SE +/- 0.00000634, N = 3 SE +/- 0.00001635, N = 3 SE +/- 0.00002074, N = 15 SE +/- 0.00001218, N = 3 SE +/- 0.00000590, N = 3 SE +/- 0.00001515, N = 4 SE +/- 0.00000929, N = 3 SE +/- 0.00000997, N = 3 SE +/- 0.00001145, N = 3 SE +/- 0.00000873, N = 3 SE +/- 0.00001716, N = 3 SE +/- 0.00001457, N = 4 SE +/- 0.00000492, N = 3 SE +/- 0.00000704, N = 3 SE +/- 0.00000843, N = 3 SE +/- 0.00001189, N = 15 SE +/- 0.00000094, N = 3 SE +/- 0.00000247, N = 3 SE +/- 0.00001130, N = 3 0.00103515 0.00131517 0.00112597 0.00124568 0.00102628 0.00100912 0.00114026 0.00099951 0.00099397 0.00102829 0.00101088 0.00105341 0.00100704 0.00102449 0.00101967 0.00100578 0.00106825 0.00089156 0.00083164 0.00088316
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Perl Benchmarks Test: Interpreter EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 300 600 900 1200 1500 974 949 910 1184 1251 1269 1279 1338 1303 1320 1319 1249 1355 1216 1226 1108 1062 1044 1354 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 300 600 900 1200 1500 SE +/- 1.20, N = 3 SE +/- 0.67, N = 3 SE +/- 1.86, N = 3 SE +/- 4.37, N = 3 SE +/- 5.20, N = 3 SE +/- 2.89, N = 3 SE +/- 5.51, N = 3 SE +/- 1.53, N = 3 SE +/- 7.84, N = 3 SE +/- 3.06, N = 3 SE +/- 6.08, N = 3 SE +/- 3.51, N = 3 SE +/- 1.73, N = 3 SE +/- 0.88, N = 3 SE +/- 6.36, N = 3 831 800 853 908 1045 1140 1002 1150 1165 1203 1264 1111 1204 1139 1177 1211 1138 897 1112 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 200 400 600 800 1000 Min: 906 / Avg: 908.33 / Max: 910 Min: 1044 / Avg: 1044.67 / Max: 1046 Min: 1136 / Avg: 1139.67 / Max: 1142 Min: 1156 / Avg: 1164.67 / Max: 1170 Min: 1194 / Avg: 1203 / Max: 1212 Min: 1259 / Avg: 1264 / Max: 1269 Min: 1101 / Avg: 1111 / Max: 1120 Min: 1202 / Avg: 1204 / Max: 1207 Min: 1131 / Avg: 1139.33 / Max: 1155 Min: 1171 / Avg: 1177 / Max: 1181 Min: 1200 / Avg: 1211 / Max: 1221 Min: 1131 / Avg: 1138 / Max: 1142 Min: 894 / Avg: 897 / Max: 900 Min: 1110 / Avg: 1111.67 / Max: 1113 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 10 20 30 40 50 SE +/- 0.21, N = 12 SE +/- 0.29, N = 3 SE +/- 0.34, N = 3 SE +/- 0.09, N = 12 SE +/- 0.35, N = 3 SE +/- 0.20, N = 3 SE +/- 0.52, N = 15 SE +/- 0.34, N = 15 SE +/- 0.13, N = 15 SE +/- 0.08, N = 12 SE +/- 0.02, N = 3 SE +/- 0.23, N = 15 SE +/- 0.09, N = 12 SE +/- 0.20, N = 15 SE +/- 0.52, N = 3 SE +/- 0.18, N = 15 SE +/- 0.27, N = 12 SE +/- 0.20, N = 3 SE +/- 0.10, N = 15 SE +/- 0.50, N = 15 45.29 45.16 41.01 43.62 40.11 40.76 37.37 35.49 30.04 30.49 30.26 29.99 28.86 32.38 29.88 30.09 35.87 37.04 35.13 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 9 18 27 36 45 Min: 44.17 / Avg: 45.29 / Max: 46.55 Min: 44.79 / Avg: 45.16 / Max: 45.73 Min: 40.35 / Avg: 41.01 / Max: 41.47 Min: 42.99 / Avg: 43.62 / Max: 44.1 Min: 39.57 / Avg: 40.11 / Max: 40.76 Min: 40.4 / Avg: 40.76 / Max: 41.09 Min: 33.73 / Avg: 37.37 / Max: 40.26 Min: 33.3 / Avg: 35.49 / Max: 37.55 Min: 29.11 / Avg: 30.04 / Max: 30.8 Min: 30.13 / Avg: 30.49 / Max: 30.89 Min: 30.23 / Avg: 30.26 / Max: 30.3 Min: 28.55 / Avg: 29.99 / Max: 31.88 Min: 28.2 / Avg: 28.86 / Max: 29.24 Min: 31.46 / Avg: 32.38 / Max: 33.54 Min: 29.32 / Avg: 29.88 / Max: 30.92 Min: 29.38 / Avg: 30.09 / Max: 31.43 Min: 34.52 / Avg: 35.87 / Max: 37.57 Min: 36.82 / Avg: 37.04 / Max: 37.43 Min: 34.59 / Avg: 35.13 / Max: 35.77 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 4 8 12 16 20 SE +/- 0.06, N = 3 SE +/- 0.07, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 15.49 14.95 17.38 14.76 15.29 16.80 16.15 15.89 15.04 14.88 14.89 16.02 14.87 14.79 14.81 15.28 14.85 13.37 12.42 11.24 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 50 - Mode: Read Write - Average Latency EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 4 8 12 16 20 Min: 15.38 / Avg: 15.49 / Max: 15.55 Min: 14.83 / Avg: 14.95 / Max: 15.07 Min: 17.33 / Avg: 17.38 / Max: 17.42 Min: 14.73 / Avg: 14.75 / Max: 14.78 Min: 15.28 / Avg: 15.29 / Max: 15.3 Min: 16.74 / Avg: 16.8 / Max: 16.86 Min: 16.1 / Avg: 16.15 / Max: 16.17 Min: 15.84 / Avg: 15.89 / Max: 15.98 Min: 14.95 / Avg: 15.04 / Max: 15.1 Min: 14.81 / Avg: 14.88 / Max: 15.01 Min: 14.81 / Avg: 14.89 / Max: 15 Min: 15.91 / Avg: 16.02 / Max: 16.14 Min: 14.83 / Avg: 14.87 / Max: 14.9 Min: 14.77 / Avg: 14.79 / Max: 14.81 Min: 14.8 / Avg: 14.81 / Max: 14.83 Min: 15.2 / Avg: 15.28 / Max: 15.33 Min: 14.76 / Avg: 14.85 / Max: 14.97 Min: 13.31 / Avg: 13.37 / Max: 13.42 Min: 12.37 / Avg: 12.41 / Max: 12.44 Min: 11.24 / Avg: 11.24 / Max: 11.25 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 50 - Mode: Read Write EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 1000 2000 3000 4000 5000 SE +/- 11.57, N = 3 SE +/- 15.99, N = 3 SE +/- 4.01, N = 3 SE +/- 3.23, N = 3 SE +/- 1.63, N = 3 SE +/- 6.14, N = 3 SE +/- 4.65, N = 3 SE +/- 8.90, N = 3 SE +/- 10.25, N = 3 SE +/- 15.04, N = 3 SE +/- 12.34, N = 3 SE +/- 13.12, N = 3 SE +/- 4.85, N = 3 SE +/- 2.04, N = 3 SE +/- 2.06, N = 3 SE +/- 9.37, N = 3 SE +/- 14.10, N = 3 SE +/- 9.36, N = 3 SE +/- 7.15, N = 3 SE +/- 1.31, N = 3 3230 3346 2878 3390 3272 2977 3098 3147 3327 3362 3358 3123 3364 3382 3377 3273 3368 3741 4029 4449 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result Confidence
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 50 - Mode: Read Write EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 800 1600 2400 3200 4000 Min: 3216.88 / Avg: 3229.71 / Max: 3252.81 Min: 3318.02 / Avg: 3346.08 / Max: 3373.39 Min: 2871.61 / Avg: 2877.76 / Max: 2885.29 Min: 3383.71 / Avg: 3389.79 / Max: 3394.75 Min: 3268.78 / Avg: 3271.87 / Max: 3274.31 Min: 2967.51 / Avg: 2977.32 / Max: 2988.61 Min: 3093.05 / Avg: 3098.13 / Max: 3107.42 Min: 3129.71 / Avg: 3147.27 / Max: 3158.56 Min: 3313.45 / Avg: 3326.77 / Max: 3346.92 Min: 3332 / Avg: 3362.06 / Max: 3378.15 Min: 3335.68 / Avg: 3358.5 / Max: 3378.07 Min: 3098.75 / Avg: 3122.83 / Max: 3143.89 Min: 3356.73 / Avg: 3364.45 / Max: 3373.4 Min: 3378.64 / Avg: 3382.28 / Max: 3385.69 Min: 3373.11 / Avg: 3376.68 / Max: 3380.25 Min: 3262.47 / Avg: 3273.27 / Max: 3291.93 Min: 3341.38 / Avg: 3367.51 / Max: 3389.77 Min: 3725.9 / Avg: 3740.97 / Max: 3758.14 Min: 4020.68 / Avg: 4028.65 / Max: 4042.93 Min: 4446.99 / Avg: 4449.47 / Max: 4451.42 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
IOR IOR is a parallel I/O storage benchmark. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org MB/s, More Is Better IOR 3.2.1 Write Test EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 400 800 1200 1600 2000 SE +/- 8.59, N = 3 SE +/- 19.55, N = 6 SE +/- 9.23, N = 3 SE +/- 17.96, N = 8 SE +/- 2.60, N = 3 SE +/- 5.14, N = 3 SE +/- 3.89, N = 3 SE +/- 2.61, N = 3 SE +/- 5.28, N = 3 SE +/- 4.26, N = 3 SE +/- 2.04, N = 3 SE +/- 0.83, N = 3 SE +/- 21.70, N = 4 SE +/- 2.72, N = 3 SE +/- 2.75, N = 3 SE +/- 10.46, N = 3 SE +/- 5.43, N = 3 SE +/- 13.68, N = 3 SE +/- 8.17, N = 3 SE +/- 25.56, N = 4 1603.94 1678.20 1584.29 1725.53 1659.95 1598.23 1622.60 1636.48 1259.04 1571.84 1542.43 1590.82 1604.88 1573.20 1606.89 1251.89 1575.39 1927.48 1850.53 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 300 600 900 1200 1500 Min: 1590.02 / Avg: 1603.94 / Max: 1619.63 Min: 1584.67 / Avg: 1678.2 / Max: 1716.09 Min: 1572.77 / Avg: 1584.29 / Max: 1602.55 Min: 1649.54 / Avg: 1725.53 / Max: 1795.82 Min: 1657.12 / Avg: 1659.95 / Max: 1665.15 Min: 1589.01 / Avg: 1598.23 / Max: 1606.76 Min: 1617.44 / Avg: 1622.6 / Max: 1630.22 Min: 1633.32 / Avg: 1636.48 / Max: 1641.66 Min: 1248.55 / Avg: 1259.04 / Max: 1265.36 Min: 1566.18 / Avg: 1571.84 / Max: 1580.18 Min: 1538.62 / Avg: 1542.43 / Max: 1545.61 Min: 1589.42 / Avg: 1590.82 / Max: 1592.28 Min: 1579.94 / Avg: 1604.88 / Max: 1669.75 Min: 1568.76 / Avg: 1573.2 / Max: 1578.14 Min: 1601.58 / Avg: 1606.89 / Max: 1610.78 Min: 1231.03 / Avg: 1251.89 / Max: 1263.75 Min: 1564.62 / Avg: 1575.39 / Max: 1582.05 Min: 1909.11 / Avg: 1927.48 / Max: 1954.23 Min: 1838.59 / Avg: 1850.53 / Max: 1866.16 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 0.2633 0.5266 0.7899 1.0532 1.3165 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.90 0.85 0.86 0.88 0.79 0.86 0.98 0.87 0.91 0.82 0.82 0.96 0.76 0.98 1.02 1.04 1.17 0.79 0.80 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 2 4 6 8 10 Min: 0.89 / Avg: 0.9 / Max: 0.91 Min: 0.85 / Avg: 0.85 / Max: 0.85 Min: 0.86 / Avg: 0.86 / Max: 0.86 Min: 0.87 / Avg: 0.88 / Max: 0.88 Min: 0.79 / Avg: 0.79 / Max: 0.79 Min: 0.86 / Avg: 0.86 / Max: 0.87 Min: 0.98 / Avg: 0.98 / Max: 0.98 Min: 0.87 / Avg: 0.87 / Max: 0.87 Min: 0.91 / Avg: 0.91 / Max: 0.91 Min: 0.82 / Avg: 0.82 / Max: 0.83 Min: 0.81 / Avg: 0.82 / Max: 0.82 Min: 0.95 / Avg: 0.96 / Max: 0.96 Min: 0.76 / Avg: 0.76 / Max: 0.77 Min: 0.97 / Avg: 0.98 / Max: 0.98 Min: 1.02 / Avg: 1.02 / Max: 1.02 Min: 1.03 / Avg: 1.04 / Max: 1.05 Min: 1.17 / Avg: 1.17 / Max: 1.17 Min: 0.79 / Avg: 0.79 / Max: 0.79 Min: 0.8 / Avg: 0.8 / Max: 0.8 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 1200 2400 3600 4800 6000 SE +/- 33.61, N = 4 SE +/- 57.45, N = 6 SE +/- 23.84, N = 4 SE +/- 41.98, N = 4 SE +/- 18.17, N = 4 SE +/- 25.86, N = 4 SE +/- 38.40, N = 4 SE +/- 38.80, N = 4 SE +/- 44.81, N = 4 SE +/- 29.29, N = 4 SE +/- 63.41, N = 4 SE +/- 59.76, N = 4 SE +/- 34.26, N = 4 SE +/- 57.02, N = 4 SE +/- 32.48, N = 4 SE +/- 25.70, N = 4 SE +/- 42.50, N = 4 SE +/- 18.54, N = 4 SE +/- 24.42, N = 4 SE +/- 39.71, N = 4 5414 4976 4965 4334 4190 4277 4466 4203 4460 4365 4385 4609 4269 4689 4747 4968 4921 4485 3796 3535
Result Confidence
OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 9.12-MR1 Java Test: Tradesoap EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 900 1800 2700 3600 4500 Min: 5331 / Avg: 5413.5 / Max: 5479 Min: 4811 / Avg: 4975.5 / Max: 5170 Min: 4897 / Avg: 4964.5 / Max: 5008 Min: 4270 / Avg: 4334.25 / Max: 4456 Min: 4150 / Avg: 4190.25 / Max: 4221 Min: 4206 / Avg: 4276.75 / Max: 4326 Min: 4397 / Avg: 4466 / Max: 4553 Min: 4087 / Avg: 4202.5 / Max: 4251 Min: 4327 / Avg: 4460.25 / Max: 4515 Min: 4311 / Avg: 4364.75 / Max: 4444 Min: 4213 / Avg: 4385.25 / Max: 4514 Min: 4497 / Avg: 4609 / Max: 4752 Min: 4173 / Avg: 4268.5 / Max: 4334 Min: 4535 / Avg: 4689 / Max: 4810 Min: 4657 / Avg: 4746.75 / Max: 4812 Min: 4901 / Avg: 4967.75 / Max: 5022 Min: 4832 / Avg: 4920.5 / Max: 5010 Min: 4445 / Avg: 4484.75 / Max: 4522 Min: 3752 / Avg: 3795.5 / Max: 3862 Min: 3451 / Avg: 3534.75 / Max: 3614
Timed GDB GNU Debugger Compilation This test times how long it takes to build the GNU Debugger (GDB) in a default configuration. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Timed GDB GNU Debugger Compilation 9.1 Time To Compile EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 30 60 90 120 150 SE +/- 0.08, N = 3 SE +/- 0.08, N = 3 SE +/- 0.05, N = 3 SE +/- 0.10, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.12, N = 3 SE +/- 0.05, N = 3 SE +/- 0.11, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.12, N = 3 SE +/- 0.04, N = 3 SE +/- 0.18, N = 3 SE +/- 0.06, N = 3 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 143.40 140.57 135.68 127.68 121.55 119.58 120.96 114.29 116.60 114.73 114.78 116.10 112.62 115.39 115.32 115.71 115.83 111.26 95.51 93.92
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed GDB GNU Debugger Compilation 9.1 Time To Compile EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 30 60 90 120 150 Min: 143.24 / Avg: 143.4 / Max: 143.52 Min: 140.43 / Avg: 140.57 / Max: 140.71 Min: 135.6 / Avg: 135.68 / Max: 135.77 Min: 127.57 / Avg: 127.68 / Max: 127.89 Min: 121.53 / Avg: 121.54 / Max: 121.58 Min: 119.53 / Avg: 119.58 / Max: 119.63 Min: 120.77 / Avg: 120.96 / Max: 121.17 Min: 114.18 / Avg: 114.29 / Max: 114.34 Min: 116.42 / Avg: 116.6 / Max: 116.8 Min: 114.64 / Avg: 114.73 / Max: 114.79 Min: 114.74 / Avg: 114.78 / Max: 114.82 Min: 115.98 / Avg: 116.1 / Max: 116.19 Min: 112.54 / Avg: 112.62 / Max: 112.69 Min: 115.28 / Avg: 115.39 / Max: 115.49 Min: 115.1 / Avg: 115.32 / Max: 115.53 Min: 115.66 / Avg: 115.71 / Max: 115.79 Min: 115.47 / Avg: 115.83 / Max: 116.05 Min: 111.16 / Avg: 111.26 / Max: 111.36 Min: 95.39 / Avg: 95.51 / Max: 95.63 Min: 93.85 / Avg: 93.92 / Max: 94.02
OpenVINO
Result
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 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 +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.90 0.85 0.86 0.88 0.79 0.88 0.98 0.88 0.91 0.82 0.83 0.95 0.77 0.97 1.02 1.04 1.17 0.79 0.80 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 2 4 6 8 10 Min: 0.89 / Avg: 0.9 / Max: 0.9 Min: 0.85 / Avg: 0.85 / Max: 0.85 Min: 0.86 / Avg: 0.86 / Max: 0.87 Min: 0.87 / Avg: 0.88 / Max: 0.88 Min: 0.79 / Avg: 0.79 / Max: 0.8 Min: 0.88 / Avg: 0.88 / Max: 0.88 Min: 0.98 / Avg: 0.98 / Max: 0.98 Min: 0.87 / Avg: 0.88 / Max: 0.89 Min: 0.91 / Avg: 0.91 / Max: 0.92 Min: 0.82 / Avg: 0.82 / Max: 0.82 Min: 0.82 / Avg: 0.83 / Max: 0.83 Min: 0.95 / Avg: 0.95 / Max: 0.95 Min: 0.76 / Avg: 0.77 / Max: 0.77 Min: 0.97 / Avg: 0.97 / Max: 0.98 Min: 1.01 / Avg: 1.02 / Max: 1.02 Min: 1.04 / Avg: 1.04 / Max: 1.05 Min: 1.16 / Avg: 1.17 / Max: 1.17 Min: 0.79 / Avg: 0.79 / Max: 0.79 Min: 0.8 / Avg: 0.8 / Max: 0.8 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 2 4 6 8 10 SE +/- 0.027, N = 12 SE +/- 0.039, N = 3 SE +/- 0.036, N = 3 SE +/- 0.067, N = 12 SE +/- 0.106, N = 3 SE +/- 0.063, N = 3 SE +/- 0.121, N = 15 SE +/- 0.074, N = 15 SE +/- 0.034, N = 15 SE +/- 0.071, N = 12 SE +/- 0.014, N = 3 SE +/- 0.074, N = 15 SE +/- 0.012, N = 12 SE +/- 0.028, N = 15 SE +/- 0.087, N = 3 SE +/- 0.023, N = 15 SE +/- 0.025, N = 12 SE +/- 0.068, N = 3 SE +/- 0.012, N = 15 SE +/- 0.071, N = 15 6.320 5.882 5.979 5.899 6.353 6.986 6.138 5.905 4.864 5.027 4.920 5.313 4.674 5.059 5.032 5.077 5.630 5.581 6.099 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 3 6 9 12 15 Min: 6.18 / Avg: 6.32 / Max: 6.49 Min: 5.83 / Avg: 5.88 / Max: 5.96 Min: 5.91 / Avg: 5.98 / Max: 6.03 Min: 5.56 / Avg: 5.9 / Max: 6.3 Min: 6.14 / Avg: 6.35 / Max: 6.46 Min: 6.86 / Avg: 6.99 / Max: 7.06 Min: 5.41 / Avg: 6.14 / Max: 6.86 Min: 5.45 / Avg: 5.91 / Max: 6.45 Min: 4.63 / Avg: 4.86 / Max: 5.19 Min: 4.7 / Avg: 5.03 / Max: 5.59 Min: 4.9 / Avg: 4.92 / Max: 4.95 Min: 4.77 / Avg: 5.31 / Max: 5.9 Min: 4.61 / Avg: 4.67 / Max: 4.76 Min: 4.82 / Avg: 5.06 / Max: 5.19 Min: 4.88 / Avg: 5.03 / Max: 5.18 Min: 4.83 / Avg: 5.08 / Max: 5.22 Min: 5.48 / Avg: 5.63 / Max: 5.83 Min: 5.51 / Avg: 5.58 / Max: 5.72 Min: 6 / Avg: 6.1 / Max: 6.16 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 40K 80K 120K 160K 200K SE +/- 1138.71, N = 3 SE +/- 872.40, N = 3 SE +/- 49.13, N = 3 SE +/- 2784.79, N = 3 SE +/- 18.90, N = 3 SE +/- 74.55, N = 3 SE +/- 283.68, N = 3 SE +/- 104.74, N = 3 SE +/- 65.84, N = 3 SE +/- 177.34, N = 3 SE +/- 119.50, N = 3 SE +/- 2602.65, N = 4 SE +/- 309.87, N = 3 SE +/- 5113.88, N = 12 SE +/- 4669.23, N = 12 SE +/- 118.55, N = 3 SE +/- 207.27, N = 3 SE +/- 259.29, N = 3 SE +/- 158.88, N = 3 SE +/- 1785.82, N = 3 151504 152406 148683 161347 150213 147070 169060 149533 170209 163216 163571 182245 157348 132666 150608 122716 123652 138475 138300 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 30K 60K 90K 120K 150K Min: 150249 / Avg: 151503.67 / Max: 153777 Min: 150661 / Avg: 152405.67 / Max: 153296 Min: 148596 / Avg: 148683.33 / Max: 148766 Min: 156030 / Avg: 161346.67 / Max: 165442 Min: 150185 / Avg: 150213 / Max: 150249 Min: 146991 / Avg: 147070 / Max: 147219 Min: 168535 / Avg: 169059.67 / Max: 169509 Min: 149413 / Avg: 149533.33 / Max: 149742 Min: 170097 / Avg: 170209.33 / Max: 170325 Min: 163025 / Avg: 163215.67 / Max: 163570 Min: 163333 / Avg: 163571.33 / Max: 163706 Min: 175128 / Avg: 182244.75 / Max: 187464 Min: 156779 / Avg: 157348.33 / Max: 157845 Min: 119362 / Avg: 132665.67 / Max: 167664 Min: 121179 / Avg: 150607.67 / Max: 168454 Min: 122555 / Avg: 122715.67 / Max: 122947 Min: 123343 / Avg: 123652.33 / Max: 124046 Min: 137991 / Avg: 138475.33 / Max: 138878 Min: 138096 / Avg: 138300 / Max: 138613 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 700 1400 2100 2800 3500 SE +/- 3.48, N = 3 SE +/- 10.14, N = 3 SE +/- 22.64, N = 3 SE +/- 22.43, N = 3 SE +/- 4.52, N = 3 SE +/- 23.10, N = 3 SE +/- 30.62, N = 3 SE +/- 7.36, N = 3 SE +/- 23.27, N = 3 SE +/- 10.16, N = 3 SE +/- 12.17, N = 3 SE +/- 17.47, N = 3 SE +/- 22.21, N = 3 SE +/- 6.79, N = 3 SE +/- 24.83, N = 3 SE +/- 35.00, N = 4 SE +/- 18.57, N = 3 SE +/- 7.30, N = 3 SE +/- 15.04, N = 3 SE +/- 24.07, N = 3 2731 2780 2328 2697 2667 2418 2457 2394 2500 2535 2517 2457 2528 2693 2671 2770 2738 3006 3221 3415 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result Confidence
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 100 - Mode: Read Write EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 600 1200 1800 2400 3000 Min: 2724.61 / Avg: 2730.99 / Max: 2736.57 Min: 2760.32 / Avg: 2780.49 / Max: 2792.45 Min: 2289.82 / Avg: 2328.44 / Max: 2368.24 Min: 2655.86 / Avg: 2697.37 / Max: 2732.85 Min: 2662.62 / Avg: 2667.31 / Max: 2676.34 Min: 2377.38 / Avg: 2418.12 / Max: 2457.35 Min: 2421.18 / Avg: 2457.42 / Max: 2518.29 Min: 2385.23 / Avg: 2394.11 / Max: 2408.72 Min: 2465.63 / Avg: 2500.49 / Max: 2544.62 Min: 2523.35 / Avg: 2534.67 / Max: 2554.94 Min: 2494.25 / Avg: 2516.54 / Max: 2536.14 Min: 2423.61 / Avg: 2456.72 / Max: 2482.93 Min: 2483.62 / Avg: 2527.96 / Max: 2552.45 Min: 2678.96 / Avg: 2692.53 / Max: 2699.86 Min: 2623.14 / Avg: 2671.2 / Max: 2706.08 Min: 2667.34 / Avg: 2769.78 / Max: 2823.7 Min: 2711.95 / Avg: 2737.69 / Max: 2773.75 Min: 2995.56 / Avg: 3005.63 / Max: 3019.81 Min: 3192.63 / Avg: 3220.59 / Max: 3244.19 Min: 3373.98 / Avg: 3415.45 / Max: 3457.36 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 100 - Mode: Read Write - Average Latency EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 10 20 30 40 50 SE +/- 0.05, N = 3 SE +/- 0.13, N = 3 SE +/- 0.42, N = 3 SE +/- 0.31, N = 3 SE +/- 0.06, N = 3 SE +/- 0.40, N = 3 SE +/- 0.50, N = 3 SE +/- 0.13, N = 3 SE +/- 0.37, N = 3 SE +/- 0.17, N = 3 SE +/- 0.19, N = 3 SE +/- 0.29, N = 3 SE +/- 0.35, N = 3 SE +/- 0.09, N = 3 SE +/- 0.36, N = 3 SE +/- 0.47, N = 4 SE +/- 0.25, N = 3 SE +/- 0.08, N = 3 SE +/- 0.15, N = 3 SE +/- 0.20, N = 3 36.64 35.99 42.98 37.11 37.53 41.41 40.78 41.83 40.06 39.52 39.79 40.77 39.62 37.20 37.50 36.18 36.59 33.29 31.08 29.32 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 100 - Mode: Read Write - Average Latency EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 9 18 27 36 45 Min: 36.56 / Avg: 36.64 / Max: 36.72 Min: 35.83 / Avg: 35.99 / Max: 36.25 Min: 42.25 / Avg: 42.98 / Max: 43.7 Min: 36.63 / Avg: 37.11 / Max: 37.68 Min: 37.4 / Avg: 37.53 / Max: 37.59 Min: 40.73 / Avg: 41.4 / Max: 42.11 Min: 39.78 / Avg: 40.78 / Max: 41.36 Min: 41.57 / Avg: 41.83 / Max: 41.98 Min: 39.36 / Avg: 40.06 / Max: 40.63 Min: 39.19 / Avg: 39.52 / Max: 39.7 Min: 39.49 / Avg: 39.79 / Max: 40.16 Min: 40.36 / Avg: 40.77 / Max: 41.32 Min: 39.23 / Avg: 39.62 / Max: 40.33 Min: 37.09 / Avg: 37.2 / Max: 37.38 Min: 37.01 / Avg: 37.5 / Max: 38.19 Min: 35.48 / Avg: 36.18 / Max: 37.56 Min: 36.1 / Avg: 36.59 / Max: 36.93 Min: 33.13 / Avg: 33.29 / Max: 33.4 Min: 30.85 / Avg: 31.08 / Max: 31.35 Min: 28.97 / Avg: 29.32 / Max: 29.67 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Monte Carlo Simulations of Ionised Nebulae Mocassin is the Monte Carlo Simulations of Ionised Nebulae. MOCASSIN is a fully 3D or 2D photoionisation and dust radiative transfer code which employs a Monte Carlo approach to the transfer of radiation through media of arbitrary geometry and density distribution. Learn more via the OpenBenchmarking.org test page.
MariaDB This is a MariaDB MySQL database server benchmark making use of mysqlslap. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Queries Per Second, More Is Better MariaDB 10.5.2 Clients: 32 EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 600 1200 1800 2400 3000 SE +/- 8.15, N = 3 SE +/- 7.86, N = 3 SE +/- 6.33, N = 3 SE +/- 4.19, N = 3 SE +/- 3.98, N = 3 SE +/- 1.77, N = 3 SE +/- 1.63, N = 3 SE +/- 5.99, N = 3 SE +/- 3.67, N = 3 SE +/- 5.31, N = 3 SE +/- 3.57, N = 3 SE +/- 3.11, N = 3 SE +/- 5.96, N = 3 SE +/- 1.98, N = 3 SE +/- 8.25, N = 3 SE +/- 1.85, N = 3 SE +/- 1.89, N = 3 SE +/- 12.04, N = 3 SE +/- 2.21, N = 3 SE +/- 5.12, N = 3 2169 2055 1912 2504 2625 2301 2209 2445 2346 2453 2488 2320 2602 2435 2483 2355 2385 2193 2575 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 500 1000 1500 2000 2500 Min: 2155.17 / Avg: 2169.26 / Max: 2183.41 Min: 2044.99 / Avg: 2054.85 / Max: 2070.39 Min: 1901.14 / Avg: 1912.09 / Max: 1923.08 Min: 2500 / Avg: 2504.19 / Max: 2512.56 Min: 2617.8 / Avg: 2624.68 / Max: 2631.58 Min: 2298.85 / Avg: 2300.62 / Max: 2304.15 Min: 2207.51 / Avg: 2209.13 / Max: 2212.39 Min: 2439.02 / Avg: 2445.02 / Max: 2457 Min: 2341.92 / Avg: 2345.59 / Max: 2352.94 Min: 2444.99 / Avg: 2453.01 / Max: 2463.05 Min: 2481.39 / Avg: 2487.57 / Max: 2493.77 Min: 2314.81 / Avg: 2320.19 / Max: 2325.58 Min: 2590.67 / Avg: 2601.94 / Max: 2610.97 Min: 2433.09 / Avg: 2435.07 / Max: 2439.02 Min: 2475.25 / Avg: 2483.5 / Max: 2500 Min: 2352.94 / Avg: 2354.79 / Max: 2358.49 Min: 2380.95 / Avg: 2384.74 / Max: 2386.63 Min: 2169.2 / Avg: 2193.12 / Max: 2207.51 Min: 2570.69 / Avg: 2575.11 / Max: 2577.32 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 20K 40K 60K 80K 100K SE +/- 159.45, N = 3 SE +/- 28.35, N = 3 SE +/- 951.90, N = 3 SE +/- 99.31, N = 3 SE +/- 48.50, N = 3 SE +/- 295.81, N = 3 SE +/- 46.07, N = 3 SE +/- 40.88, N = 3 SE +/- 95.35, N = 3 SE +/- 120.31, N = 3 SE +/- 482.48, N = 3 SE +/- 34.00, N = 3 SE +/- 2925.14, N = 15 SE +/- 1639.18, N = 15 SE +/- 14.77, N = 3 SE +/- 98.16, N = 3 SE +/- 215.91, N = 3 SE +/- 58.89, N = 3 SE +/- 270.59, N = 3 75301 76141 74361 80200 75192 73660 84809 74842 85230 81683 81848 88694 79050 68979 70290 61568 62139 68835 69107 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 15K 30K 45K 60K 75K Min: 74989 / Avg: 75300.67 / Max: 75515 Min: 76107 / Avg: 76140.67 / Max: 76197 Min: 78418 / Avg: 80200.33 / Max: 81671 Min: 75035 / Avg: 75192.33 / Max: 75376 Min: 73563 / Avg: 73660 / Max: 73709 Min: 84435 / Avg: 84809 / Max: 85393 Min: 74784 / Avg: 74842 / Max: 74933 Min: 85148 / Avg: 85229.67 / Max: 85274 Min: 81585 / Avg: 81683.33 / Max: 81874 Min: 81658 / Avg: 81848.33 / Max: 82071 Min: 87822 / Avg: 88693.67 / Max: 89488 Min: 78982 / Avg: 79050 / Max: 79084 Min: 59677 / Avg: 68979.2 / Max: 84033 Min: 59832 / Avg: 70290.07 / Max: 83284 Min: 61539 / Avg: 61568.33 / Max: 61586 Min: 61998 / Avg: 62139.33 / Max: 62328 Min: 68517 / Avg: 68835 / Max: 69247 Min: 69005 / Avg: 69106.67 / Max: 69209 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 2M 4M 6M 8M 10M SE +/- 78634.61, N = 5 SE +/- 64286.26, N = 3 SE +/- 54822.83, N = 10 SE +/- 83401.53, N = 4 SE +/- 91804.03, N = 3 SE +/- 4457.96, N = 3 SE +/- 66115.31, N = 6 SE +/- 43739.49, N = 3 SE +/- 27245.95, N = 3 SE +/- 60813.81, N = 3 SE +/- 16322.76, N = 3 SE +/- 23411.23, N = 3 SE +/- 47967.21, N = 3 SE +/- 58932.94, N = 9 SE +/- 5490.09, N = 3 SE +/- 16641.25, N = 3 SE +/- 11189.60, N = 3 SE +/- 33413.74, N = 3 SE +/- 13365.44, N = 3 SE +/- 13083.28, N = 3 5977043 6069924 5872734 5911066 5628949 6478221 5439046 6340115 6322595 6311538 6724444 5955306 6451888 6169606 6617325 6446053 6548322 7299102 7812765 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 1.4M 2.8M 4.2M 5.6M 7M Min: 5669153 / Avg: 5977043.4 / Max: 6096958 Min: 5950694 / Avg: 6069924.33 / Max: 6171208 Min: 5665156 / Avg: 5872733.9 / Max: 6263416 Min: 5745490 / Avg: 5911066.25 / Max: 6083542 Min: 5474789 / Avg: 5628948.67 / Max: 5792400 Min: 6471681 / Avg: 6478221 / Max: 6486739 Min: 5307839 / Avg: 5439045.5 / Max: 5725219 Min: 6255345 / Avg: 6340114.67 / Max: 6401208 Min: 6268240 / Avg: 6322595.33 / Max: 6353112 Min: 6230341 / Avg: 6311538 / Max: 6430560 Min: 6706889 / Avg: 6724444.33 / Max: 6757058 Min: 5911775 / Avg: 5955306.33 / Max: 5992006 Min: 6356940 / Avg: 6451888.33 / Max: 6511244 Min: 5765543 / Avg: 6169606 / Max: 6421933 Min: 6607733 / Avg: 6617325.33 / Max: 6626749 Min: 6419058 / Avg: 6446052.67 / Max: 6476410 Min: 6526815 / Avg: 6548321.67 / Max: 6564434 Min: 7253372 / Avg: 7299102 / Max: 7364169 Min: 7786435 / Avg: 7812765.33 / Max: 7829923 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 16 32 48 64 80 SE +/- 0.08, N = 3 SE +/- 0.02, N = 3 SE +/- 0.10, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.07, N = 3 SE +/- 0.07, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.11, N = 3 SE +/- 0.09, N = 3 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.10, N = 3 SE +/- 0.12, N = 3 SE +/- 0.02, N = 3 SE +/- 0.08, N = 3 SE +/- 0.02, N = 3 72.49 72.47 69.76 62.98 59.93 58.83 59.36 54.62 54.97 53.72 53.80 57.27 52.82 56.78 58.14 58.36 60.13 61.05 52.86 51.41 1. RawTherapee, version 5.8, command line.
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better RawTherapee Total Benchmark Time EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 14 28 42 56 70 Min: 72.37 / Avg: 72.49 / Max: 72.65 Min: 72.43 / Avg: 72.47 / Max: 72.51 Min: 69.64 / Avg: 69.76 / Max: 69.97 Min: 62.92 / Avg: 62.98 / Max: 63.01 Min: 59.8 / Avg: 59.93 / Max: 60.03 Min: 58.72 / Avg: 58.83 / Max: 58.96 Min: 59.28 / Avg: 59.36 / Max: 59.51 Min: 54.56 / Avg: 54.62 / Max: 54.71 Min: 54.91 / Avg: 54.97 / Max: 55.02 Min: 53.63 / Avg: 53.72 / Max: 53.77 Min: 53.76 / Avg: 53.8 / Max: 53.82 Min: 57.1 / Avg: 57.27 / Max: 57.49 Min: 52.64 / Avg: 52.82 / Max: 52.94 Min: 56.67 / Avg: 56.78 / Max: 56.91 Min: 58.06 / Avg: 58.14 / Max: 58.22 Min: 58.17 / Avg: 58.36 / Max: 58.51 Min: 59.99 / Avg: 60.13 / Max: 60.38 Min: 61.02 / Avg: 61.05 / Max: 61.08 Min: 52.74 / Avg: 52.86 / Max: 53.01 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7F32 EPYC 7F52 EPYC 7F72 3 6 9 12 15 SE +/- 0.037, N = 3 SE +/- 0.032, N = 3 SE +/- 0.060, N = 3 SE +/- 0.086, N = 3 SE +/- 0.041, N = 3 SE +/- 0.034, N = 3 SE +/- 0.080, N = 3 SE +/- 0.012, N = 3 SE +/- 0.029, N = 3 SE +/- 0.124, N = 3 SE +/- 0.060, N = 3 SE +/- 0.101, N = 3 SE +/- 0.091, N = 3 SE +/- 0.049, N = 3 SE +/- 0.014, N = 3 SE +/- 0.025, N = 3 9.291 9.965 9.613 9.842 9.250 9.051 9.692 9.426 9.571 9.472 9.504 10.026 9.295 7.603 7.182 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7F32 EPYC 7F52 EPYC 7F72 3 6 9 12 15 Min: 9.23 / Avg: 9.29 / Max: 9.36 Min: 9.9 / Avg: 9.97 / Max: 10 Min: 9.5 / Avg: 9.61 / Max: 9.7 Min: 9.72 / Avg: 9.84 / Max: 10.01 Min: 9.2 / Avg: 9.25 / Max: 9.33 Min: 9 / Avg: 9.05 / Max: 9.12 Min: 9.54 / Avg: 9.69 / Max: 9.8 Min: 9.41 / Avg: 9.43 / Max: 9.45 Min: 9.52 / Avg: 9.57 / Max: 9.62 Min: 9.33 / Avg: 9.47 / Max: 9.72 Min: 9.39 / Avg: 9.5 / Max: 9.57 Min: 9.83 / Avg: 10.03 / Max: 10.16 Min: 9.13 / Avg: 9.29 / Max: 9.45 Min: 7.52 / Avg: 7.6 / Max: 7.69 Min: 7.16 / Avg: 7.18 / Max: 7.21 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 1.2047 2.4094 3.6141 4.8188 6.0235 SE +/- 0.035846, N = 3 SE +/- 0.029170, N = 3 SE +/- 0.011124, N = 3 SE +/- 0.001386, N = 3 SE +/- 0.005936, N = 3 SE +/- 0.003541, N = 3 SE +/- 0.041024, N = 3 SE +/- 0.006874, N = 3 SE +/- 0.003085, N = 3 SE +/- 0.009984, N = 3 SE +/- 0.004608, N = 3 SE +/- 0.005292, N = 3 SE +/- 0.002205, N = 3 SE +/- 0.012710, N = 3 SE +/- 0.007590, N = 3 SE +/- 0.006914, N = 3 SE +/- 0.011361, N = 3 SE +/- 0.009248, N = 3 SE +/- 0.005492, N = 3 SE +/- 0.010372, N = 3 5.354166 4.784334 4.406652 4.734690 4.670712 4.481216 4.777518 4.450068 4.416565 4.412687 4.449033 4.510940 4.362872 4.490296 4.495252 4.516180 4.452469 3.867440 3.836466 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 2 4 6 8 10 Min: 5.29 / Avg: 5.35 / Max: 5.42 Min: 4.74 / Avg: 4.78 / Max: 4.84 Min: 4.39 / Avg: 4.41 / Max: 4.43 Min: 4.73 / Avg: 4.73 / Max: 4.74 Min: 4.66 / Avg: 4.67 / Max: 4.68 Min: 4.48 / Avg: 4.48 / Max: 4.49 Min: 4.7 / Avg: 4.78 / Max: 4.82 Min: 4.44 / Avg: 4.45 / Max: 4.46 Min: 4.41 / Avg: 4.42 / Max: 4.42 Min: 4.4 / Avg: 4.41 / Max: 4.43 Min: 4.44 / Avg: 4.45 / Max: 4.46 Min: 4.51 / Avg: 4.51 / Max: 4.52 Min: 4.36 / Avg: 4.36 / Max: 4.37 Min: 4.47 / Avg: 4.49 / Max: 4.51 Min: 4.48 / Avg: 4.5 / Max: 4.51 Min: 4.51 / Avg: 4.52 / Max: 4.53 Min: 4.43 / Avg: 4.45 / Max: 4.47 Min: 3.85 / Avg: 3.87 / Max: 3.88 Min: 3.83 / Avg: 3.84 / Max: 3.85 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 2 4 6 8 10 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 7.30 7.39 6.97 6.77 6.45 6.27 6.35 5.92 5.83 5.80 5.79 5.91 5.69 5.77 5.76 5.73 5.67 6.11 5.32 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 3 6 9 12 15 Min: 7.29 / Avg: 7.3 / Max: 7.31 Min: 7.38 / Avg: 7.39 / Max: 7.41 Min: 6.97 / Avg: 6.97 / Max: 6.98 Min: 6.73 / Avg: 6.77 / Max: 6.81 Min: 6.43 / Avg: 6.45 / Max: 6.47 Min: 6.26 / Avg: 6.27 / Max: 6.27 Min: 6.32 / Avg: 6.35 / Max: 6.38 Min: 5.89 / Avg: 5.92 / Max: 5.95 Min: 5.82 / Avg: 5.83 / Max: 5.84 Min: 5.78 / Avg: 5.8 / Max: 5.83 Min: 5.78 / Avg: 5.79 / Max: 5.8 Min: 5.88 / Avg: 5.91 / Max: 5.93 Min: 5.66 / Avg: 5.69 / Max: 5.71 Min: 5.75 / Avg: 5.77 / Max: 5.79 Min: 5.75 / Avg: 5.76 / Max: 5.78 Min: 5.72 / Avg: 5.73 / Max: 5.73 Min: 5.64 / Avg: 5.67 / Max: 5.69 Min: 6.1 / Avg: 6.11 / Max: 6.12 Min: 5.3 / Avg: 5.32 / Max: 5.35 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 5 10 15 20 25 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.07, N = 3 SE +/- 0.04, N = 3 SE +/- 0.12, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.13, N = 3 SE +/- 0.02, N = 3 SE +/- 0.12, N = 3 SE +/- 0.04, N = 3 SE +/- 0.10, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 16.31 16.29 15.74 16.45 16.88 16.93 18.25 17.28 18.17 17.94 17.96 19.03 17.65 18.39 18.63 18.44 18.31 13.75 15.38 16.20
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GIMP 2.10.18 Test: auto-levels EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 5 10 15 20 25 Min: 16.27 / Avg: 16.31 / Max: 16.36 Min: 16.27 / Avg: 16.29 / Max: 16.3 Min: 15.66 / Avg: 15.74 / Max: 15.82 Min: 16.42 / Avg: 16.45 / Max: 16.47 Min: 16.78 / Avg: 16.88 / Max: 16.98 Min: 16.9 / Avg: 16.93 / Max: 16.95 Min: 18.18 / Avg: 18.25 / Max: 18.39 Min: 17.22 / Avg: 17.28 / Max: 17.35 Min: 17.98 / Avg: 18.17 / Max: 18.38 Min: 17.92 / Avg: 17.94 / Max: 17.95 Min: 17.87 / Avg: 17.96 / Max: 18.06 Min: 18.79 / Avg: 19.03 / Max: 19.24 Min: 17.62 / Avg: 17.65 / Max: 17.69 Min: 18.26 / Avg: 18.39 / Max: 18.63 Min: 18.56 / Avg: 18.63 / Max: 18.69 Min: 18.23 / Avg: 18.44 / Max: 18.55 Min: 18.27 / Avg: 18.31 / Max: 18.37 Min: 13.7 / Avg: 13.75 / Max: 13.81 Min: 15.29 / Avg: 15.38 / Max: 15.48 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 90K 180K 270K 360K 450K SE +/- 1246.76, N = 3 SE +/- 161.37, N = 3 SE +/- 108.93, N = 3 SE +/- 1086.97, N = 3 SE +/- 357.06, N = 3 SE +/- 2314.26, N = 3 SE +/- 904.07, N = 3 SE +/- 687.60, N = 3 SE +/- 583.08, N = 3 SE +/- 189.78, N = 3 SE +/- 403.57, N = 3 SE +/- 1305.38, N = 3 SE +/- 227.82, N = 3 SE +/- 4952.89, N = 3 SE +/- 7856.58, N = 9 SE +/- 339.60, N = 3 SE +/- 509.80, N = 3 SE +/- 510.20, N = 3 SE +/- 434.25, N = 3 SE +/- 688.36, N = 3 368302 368379 365509 375660 370870 368724 428417 371338 428034 408029 407984 438631 390515 317560 358400 323169 324951 336529 345522 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 80K 160K 240K 320K 400K Min: 365859 / Avg: 368302 / Max: 369956 Min: 368059 / Avg: 368378.67 / Max: 368577 Min: 365334 / Avg: 365509.33 / Max: 365709 Min: 373544 / Avg: 375660.33 / Max: 377149 Min: 370484 / Avg: 370869.67 / Max: 371583 Min: 366319 / Avg: 368723.67 / Max: 373351 Min: 427168 / Avg: 428417.33 / Max: 430174 Min: 369969 / Avg: 371337.67 / Max: 372138 Min: 427137 / Avg: 428034.33 / Max: 429128 Min: 407694 / Avg: 408029.33 / Max: 408351 Min: 407286 / Avg: 407984.33 / Max: 408684 Min: 436538 / Avg: 438631 / Max: 441029 Min: 390095 / Avg: 390515 / Max: 390878 Min: 311387 / Avg: 317560.33 / Max: 327356 Min: 335480 / Avg: 358400 / Max: 395035 Min: 322554 / Avg: 323169.33 / Max: 323726 Min: 324015 / Avg: 324951.33 / Max: 325769 Min: 335826 / Avg: 336529 / Max: 337521 Min: 344906 / Avg: 345521.67 / Max: 346360 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 8 16 24 32 40 SE +/- 0.10, N = 3 SE +/- 0.10, N = 3 SE +/- 0.12, N = 3 SE +/- 0.13, N = 3 SE +/- 0.03, N = 3 SE +/- 0.16, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.08, N = 3 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 SE +/- 0.29, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.09, N = 3 SE +/- 0.04, N = 3 33.56 32.18 30.66 32.52 32.94 32.00 33.82 32.46 32.97 32.76 32.74 32.44 32.40 33.26 33.28 33.66 33.54 24.72 24.80 26.26 1. EPYC 7232P: rsvg-convert version 2.50.1 2. EPYC 7252: rsvg-convert version 2.50.1 3. EPYC 7262: rsvg-convert version 2.50.1 4. EPYC 7272: rsvg-convert version 2.50.1 5. EPYC 7282: rsvg-convert version 2.50.1 6. EPYC 7302P: rsvg-convert version 2.50.1 7. EPYC 7352: rsvg-convert version 2.50.1 8. EPYC 7402P: rsvg-convert version 2.50.1 9. EPYC 7452: rsvg-convert version 2.50.1 10. EPYC 7502: rsvg-convert version 2.50.1 11. EPYC 7502P: rsvg-convert version 2.50.1 12. EPYC 7532: rsvg-convert version 2.50.1 13. EPYC 7542: rsvg-convert version 2.50.1 14. EPYC 7552: rsvg-convert version 2.50.1 15. EPYC 7642: rsvg-convert version 2.50.1 16. EPYC 7662: rsvg-convert version 2.50.1 17. EPYC 7702: rsvg-convert version 2.50.1 18. EPYC 7F32: rsvg-convert version 2.50.1 19. EPYC 7F52: 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 7 14 21 28 35 Min: 33.41 / Avg: 33.56 / Max: 33.74 Min: 31.99 / Avg: 32.18 / Max: 32.32 Min: 30.42 / Avg: 30.65 / Max: 30.84 Min: 32.35 / Avg: 32.52 / Max: 32.78 Min: 32.89 / Avg: 32.94 / Max: 32.99 Min: 31.69 / Avg: 32 / Max: 32.17 Min: 33.74 / Avg: 33.82 / Max: 33.87 Min: 32.35 / Avg: 32.46 / Max: 32.55 Min: 32.85 / Avg: 32.97 / Max: 33.11 Min: 32.66 / Avg: 32.76 / Max: 32.83 Min: 32.59 / Avg: 32.74 / Max: 32.84 Min: 31.88 / Avg: 32.44 / Max: 32.87 Min: 32.37 / Avg: 32.4 / Max: 32.44 Min: 33.22 / Avg: 33.26 / Max: 33.31 Min: 33.22 / Avg: 33.27 / Max: 33.33 Min: 33.55 / Avg: 33.66 / Max: 33.79 Min: 33.49 / Avg: 33.54 / Max: 33.6 Min: 24.65 / Avg: 24.72 / Max: 24.81 Min: 24.68 / Avg: 24.8 / Max: 24.99 Min: 26.19 / Avg: 26.26 / Max: 26.33 1. EPYC 7232P: rsvg-convert version 2.50.1 2. EPYC 7252: rsvg-convert version 2.50.1 3. EPYC 7262: rsvg-convert version 2.50.1 4. EPYC 7272: rsvg-convert version 2.50.1 5. EPYC 7282: rsvg-convert version 2.50.1 6. EPYC 7302P: rsvg-convert version 2.50.1 7. EPYC 7352: rsvg-convert version 2.50.1 8. EPYC 7402P: rsvg-convert version 2.50.1 9. EPYC 7452: rsvg-convert version 2.50.1 10. EPYC 7502: rsvg-convert version 2.50.1 11. EPYC 7502P: rsvg-convert version 2.50.1 12. EPYC 7532: rsvg-convert version 2.50.1 13. EPYC 7542: rsvg-convert version 2.50.1 14. EPYC 7552: rsvg-convert version 2.50.1 15. EPYC 7642: rsvg-convert version 2.50.1 16. EPYC 7662: rsvg-convert version 2.50.1 17. EPYC 7702: rsvg-convert version 2.50.1 18. EPYC 7F32: rsvg-convert version 2.50.1 19. EPYC 7F52: 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 6 12 18 24 30 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.10, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.11, N = 3 SE +/- 0.11, N = 3 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 SE +/- 0.15, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.10, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.09, N = 3 20.50 20.31 20.00 20.95 21.44 21.84 23.79 22.48 23.65 23.52 23.22 24.25 23.20 23.58 24.07 23.63 23.82 17.74 20.00 21.13
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GIMP 2.10.18 Test: unsharp-mask EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 6 12 18 24 30 Min: 20.43 / Avg: 20.5 / Max: 20.53 Min: 20.22 / Avg: 20.31 / Max: 20.36 Min: 19.95 / Avg: 20 / Max: 20.09 Min: 20.87 / Avg: 20.95 / Max: 21.03 Min: 21.26 / Avg: 21.44 / Max: 21.62 Min: 21.81 / Avg: 21.84 / Max: 21.9 Min: 23.73 / Avg: 23.79 / Max: 23.83 Min: 22.36 / Avg: 22.48 / Max: 22.58 Min: 23.5 / Avg: 23.65 / Max: 23.85 Min: 23.3 / Avg: 23.52 / Max: 23.66 Min: 23.14 / Avg: 23.22 / Max: 23.3 Min: 24.14 / Avg: 24.25 / Max: 24.4 Min: 23.02 / Avg: 23.2 / Max: 23.51 Min: 23.52 / Avg: 23.58 / Max: 23.62 Min: 23.98 / Avg: 24.07 / Max: 24.22 Min: 23.46 / Avg: 23.63 / Max: 23.79 Min: 23.79 / Avg: 23.82 / Max: 23.84 Min: 17.67 / Avg: 17.74 / Max: 17.81 Min: 19.9 / Avg: 20 / Max: 20.09 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 200 400 600 800 1000 SE +/- 15.59, N = 3 SE +/- 5.02, N = 3 SE +/- 4.67, N = 3 SE +/- 11.22, N = 3 SE +/- 21.34, N = 3 SE +/- 11.51, N = 3 SE +/- 8.50, N = 3 SE +/- 4.03, N = 3 SE +/- 10.86, N = 3 SE +/- 6.60, N = 3 SE +/- 7.47, N = 3 SE +/- 38.98, N = 3 SE +/- 8.39, N = 3 SE +/- 8.36, N = 3 SE +/- 5.88, N = 3 SE +/- 5.69, N = 3 SE +/- 10.78, N = 3 SE +/- 17.92, N = 3 SE +/- 16.69, N = 3 SE +/- 11.47, N = 3 725.40 719.49 774.32 716.82 713.64 757.12 726.84 766.08 769.74 766.54 767.66 652.80 752.97 770.26 748.18 762.29 768.64 847.88 887.80 851.93 1. (CC) gcc options: -lm
Result Confidence
OpenBenchmarking.org Mflops, More Is Better SciMark 2.0 Computational Test: Dense LU Matrix Factorization EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 160 320 480 640 800 Min: 698.44 / Avg: 725.4 / Max: 752.43 Min: 710.35 / Avg: 719.49 / Max: 727.66 Min: 766.02 / Avg: 774.32 / Max: 782.19 Min: 700.45 / Avg: 716.82 / Max: 738.29 Min: 678.71 / Avg: 713.64 / Max: 752.34 Min: 743.57 / Avg: 757.12 / Max: 780.02 Min: 713.59 / Avg: 726.84 / Max: 742.7 Min: 758.09 / Avg: 766.08 / Max: 770.97 Min: 750.01 / Avg: 769.74 / Max: 787.46 Min: 753.8 / Avg: 766.54 / Max: 775.89 Min: 753.77 / Avg: 767.66 / Max: 779.38 Min: 612.21 / Avg: 652.8 / Max: 730.74 Min: 742.18 / Avg: 752.97 / Max: 769.49 Min: 757.87 / Avg: 770.26 / Max: 786.18 Min: 741.69 / Avg: 748.18 / Max: 759.91 Min: 751.02 / Avg: 762.29 / Max: 769.3 Min: 747.43 / Avg: 768.64 / Max: 782.6 Min: 813.32 / Avg: 847.88 / Max: 873.38 Min: 861.26 / Avg: 887.8 / Max: 918.59 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 50K 100K 150K 200K 250K SE +/- 257.35, N = 3 SE +/- 315.77, N = 3 SE +/- 323.85, N = 3 SE +/- 851.31, N = 3 SE +/- 267.63, N = 3 SE +/- 69.83, N = 3 SE +/- 2045.88, N = 3 SE +/- 127.33, N = 3 SE +/- 206.99, N = 3 SE +/- 324.32, N = 3 SE +/- 129.37, N = 3 SE +/- 957.14, N = 3 SE +/- 380.24, N = 3 SE +/- 3084.79, N = 12 SE +/- 2682.21, N = 12 SE +/- 489.67, N = 3 SE +/- 83.95, N = 3 SE +/- 330.74, N = 3 SE +/- 329.04, N = 3 SE +/- 1306.16, N = 3 184509 183925 183100 187798 185308 183027 209600 185776 213475 203772 203437 218984 195590 165786 177549 161679 162845 167810 172494 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 40K 80K 120K 160K 200K Min: 184055 / Avg: 184509 / Max: 184946 Min: 183587 / Avg: 183925 / Max: 184556 Min: 182465 / Avg: 183099.67 / Max: 183529 Min: 186460 / Avg: 187798.33 / Max: 189379 Min: 184775 / Avg: 185308 / Max: 185617 Min: 182924 / Avg: 183026.67 / Max: 183160 Min: 207151 / Avg: 209599.67 / Max: 213663 Min: 185553 / Avg: 185776 / Max: 185994 Min: 213201 / Avg: 213475.33 / Max: 213881 Min: 203233 / Avg: 203772 / Max: 204354 Min: 203278 / Avg: 203436.67 / Max: 203693 Min: 217558 / Avg: 218984 / Max: 220803 Min: 195038 / Avg: 195590 / Max: 196319 Min: 155868 / Avg: 165785.58 / Max: 190504 Min: 157259 / Avg: 177549 / Max: 190775 Min: 160807 / Avg: 161679.33 / Max: 162501 Min: 162677 / Avg: 162844.67 / Max: 162936 Min: 167261 / Avg: 167809.67 / Max: 168404 Min: 171844 / Avg: 172494 / Max: 172908 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 6 12 18 24 30 SE +/- 0.12, N = 3 SE +/- 0.22, N = 3 SE +/- 0.14, N = 3 SE +/- 0.14, N = 3 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.16, N = 3 SE +/- 0.08, N = 3 SE +/- 0.15, N = 3 SE +/- 0.18, N = 3 SE +/- 0.05, N = 3 SE +/- 0.11, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.09, N = 3 SE +/- 0.11, N = 3 SE +/- 0.23, N = 3 SE +/- 0.10, N = 3 SE +/- 0.06, N = 3 18.13 17.10 18.23 18.71 18.68 18.97 17.65 18.76 18.44 18.53 18.77 18.40 18.86 18.12 18.46 18.07 18.27 22.33 22.98 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 5 10 15 20 25 Min: 18 / Avg: 18.13 / Max: 18.37 Min: 16.86 / Avg: 17.1 / Max: 17.53 Min: 17.95 / Avg: 18.23 / Max: 18.42 Min: 18.57 / Avg: 18.71 / Max: 18.98 Min: 18.6 / Avg: 18.68 / Max: 18.77 Min: 18.84 / Avg: 18.97 / Max: 19.04 Min: 17.62 / Avg: 17.65 / Max: 17.71 Min: 18.6 / Avg: 18.76 / Max: 19.08 Min: 18.28 / Avg: 18.44 / Max: 18.53 Min: 18.3 / Avg: 18.53 / Max: 18.82 Min: 18.47 / Avg: 18.77 / Max: 19.08 Min: 18.31 / Avg: 18.4 / Max: 18.46 Min: 18.67 / Avg: 18.86 / Max: 19.06 Min: 18.09 / Avg: 18.12 / Max: 18.14 Min: 18.41 / Avg: 18.46 / Max: 18.52 Min: 17.9 / Avg: 18.07 / Max: 18.19 Min: 18.08 / Avg: 18.27 / Max: 18.46 Min: 21.98 / Avg: 22.33 / Max: 22.76 Min: 22.8 / Avg: 22.98 / Max: 23.16 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 5 10 15 20 25 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 SE +/- 0.10, N = 3 SE +/- 0.04, N = 3 SE +/- 0.14, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.06, N = 3 SE +/- 0.10, N = 3 SE +/- 0.09, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.09, N = 3 SE +/- 0.06, N = 3 15.11 14.73 15.29 15.04 15.43 15.93 14.53 15.69 15.04 15.44 15.30 15.17 15.80 14.82 14.83 14.78 14.66 18.05 19.50 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 5 10 15 20 25 Min: 15.01 / Avg: 15.11 / Max: 15.22 Min: 14.71 / Avg: 14.73 / Max: 14.76 Min: 15.22 / Avg: 15.29 / Max: 15.38 Min: 15 / Avg: 15.04 / Max: 15.1 Min: 15.28 / Avg: 15.43 / Max: 15.57 Min: 15.78 / Avg: 15.93 / Max: 16.12 Min: 14.47 / Avg: 14.53 / Max: 14.6 Min: 15.55 / Avg: 15.69 / Max: 15.98 Min: 15 / Avg: 15.04 / Max: 15.08 Min: 15.36 / Avg: 15.44 / Max: 15.56 Min: 15.19 / Avg: 15.3 / Max: 15.39 Min: 15.06 / Avg: 15.17 / Max: 15.37 Min: 15.68 / Avg: 15.8 / Max: 15.97 Min: 14.79 / Avg: 14.82 / Max: 14.85 Min: 14.8 / Avg: 14.83 / Max: 14.86 Min: 14.72 / Avg: 14.78 / Max: 14.86 Min: 14.63 / Avg: 14.66 / Max: 14.72 Min: 17.97 / Avg: 18.05 / Max: 18.15 Min: 19.41 / Avg: 19.5 / Max: 19.68 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 7 14 21 28 35 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.07, N = 3 SE +/- 0.10, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 30.66 30.39 28.95 28.79 28.02 27.38 28.52 26.70 26.90 26.81 26.82 27.21 26.41 27.18 27.14 27.21 26.94 24.53 22.87 23.65
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed Apache Compilation 2.4.41 Time To Compile EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 7 14 21 28 35 Min: 30.61 / Avg: 30.66 / Max: 30.73 Min: 30.25 / Avg: 30.39 / Max: 30.49 Min: 28.87 / Avg: 28.95 / Max: 29.09 Min: 28.59 / Avg: 28.78 / Max: 28.89 Min: 27.91 / Avg: 28.02 / Max: 28.08 Min: 27.36 / Avg: 27.38 / Max: 27.41 Min: 28.45 / Avg: 28.52 / Max: 28.58 Min: 26.66 / Avg: 26.7 / Max: 26.78 Min: 26.86 / Avg: 26.89 / Max: 26.93 Min: 26.78 / Avg: 26.81 / Max: 26.84 Min: 26.78 / Avg: 26.82 / Max: 26.88 Min: 27.16 / Avg: 27.21 / Max: 27.25 Min: 26.39 / Avg: 26.41 / Max: 26.44 Min: 27.15 / Avg: 27.18 / Max: 27.21 Min: 27.12 / Avg: 27.14 / Max: 27.18 Min: 27.17 / Avg: 27.21 / Max: 27.25 Min: 26.9 / Avg: 26.94 / Max: 26.98 Min: 24.49 / Avg: 24.53 / Max: 24.61 Min: 22.85 / Avg: 22.87 / Max: 22.89 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 14 28 42 56 70 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.27, N = 3 SE +/- 0.42, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.10, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.10, N = 3 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.19, N = 3 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 63.21 64.23 60.37 59.55 56.98 55.60 57.36 53.71 53.51 53.24 53.31 54.66 52.45 53.66 53.82 53.59 53.05 53.75 47.99 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 13 26 39 52 65 Min: 63.19 / Avg: 63.21 / Max: 63.22 Min: 64.18 / Avg: 64.23 / Max: 64.32 Min: 59.95 / Avg: 60.37 / Max: 60.88 Min: 59.1 / Avg: 59.55 / Max: 60.39 Min: 56.93 / Avg: 56.98 / Max: 57.02 Min: 55.5 / Avg: 55.6 / Max: 55.71 Min: 57.2 / Avg: 57.36 / Max: 57.55 Min: 53.63 / Avg: 53.71 / Max: 53.83 Min: 53.47 / Avg: 53.51 / Max: 53.54 Min: 53.2 / Avg: 53.24 / Max: 53.27 Min: 53.31 / Avg: 53.31 / Max: 53.31 Min: 54.49 / Avg: 54.65 / Max: 54.84 Min: 52.38 / Avg: 52.45 / Max: 52.56 Min: 53.59 / Avg: 53.66 / Max: 53.7 Min: 53.73 / Avg: 53.82 / Max: 53.89 Min: 53.57 / Avg: 53.59 / Max: 53.6 Min: 53 / Avg: 53.05 / Max: 53.13 Min: 53.37 / Avg: 53.75 / Max: 54.01 Min: 47.94 / Avg: 47.99 / Max: 48.03 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 0.725 1.45 2.175 2.9 3.625 SE +/- 0.016890, N = 3 SE +/- 0.016878, N = 3 SE +/- 0.005671, N = 3 SE +/- 0.002712, N = 3 SE +/- 0.003332, N = 3 SE +/- 0.004096, N = 3 SE +/- 0.001591, N = 3 SE +/- 0.000361, N = 3 SE +/- 0.002802, N = 3 SE +/- 0.003620, N = 3 SE +/- 0.001660, N = 3 SE +/- 0.000645, N = 3 SE +/- 0.001339, N = 3 SE +/- 0.002139, N = 3 SE +/- 0.003031, N = 3 SE +/- 0.024969, N = 3 SE +/- 0.002876, N = 3 SE +/- 0.002402, N = 3 SE +/- 0.000813, N = 3 SE +/- 0.007796, N = 3 3.222167 2.996117 2.787508 2.962278 2.936601 2.844541 2.980562 2.801377 2.802675 2.802039 2.826791 2.853650 2.758205 2.847956 2.842580 2.879442 2.812404 2.440883 2.414850 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 2 4 6 8 10 Min: 3.19 / Avg: 3.22 / Max: 3.25 Min: 2.97 / Avg: 3 / Max: 3.03 Min: 2.78 / Avg: 2.79 / Max: 2.8 Min: 2.96 / Avg: 2.96 / Max: 2.97 Min: 2.93 / Avg: 2.94 / Max: 2.94 Min: 2.84 / Avg: 2.84 / Max: 2.85 Min: 2.98 / Avg: 2.98 / Max: 2.98 Min: 2.8 / Avg: 2.8 / Max: 2.8 Min: 2.8 / Avg: 2.8 / Max: 2.81 Min: 2.79 / Avg: 2.8 / Max: 2.81 Min: 2.82 / Avg: 2.83 / Max: 2.83 Min: 2.85 / Avg: 2.85 / Max: 2.85 Min: 2.76 / Avg: 2.76 / Max: 2.76 Min: 2.85 / Avg: 2.85 / Max: 2.85 Min: 2.84 / Avg: 2.84 / Max: 2.85 Min: 2.85 / Avg: 2.88 / Max: 2.93 Min: 2.81 / Avg: 2.81 / Max: 2.82 Min: 2.44 / Avg: 2.44 / Max: 2.44 Min: 2.41 / Avg: 2.41 / Max: 2.42 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 200 400 600 800 1000 1052.76 1043.71 1161.30 1042.95 1043.83 1072.30 1107.34 1060.62 1080.92 1046.72 1053.92 1105.99 1038.02 1102.07 1100.05 1100.25 1098.03 945.92 906.52 870.72
InfluxDB This is a benchmark of the InfluxDB open-source time-series database optimized for fast, high-availability storage for IoT and other use-cases. The InfluxDB test profile makes use of InfluxDB Inch for facilitating the benchmarks. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org val/sec, More Is Better InfluxDB 1.8.2 Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 300K 600K 900K 1200K 1500K SE +/- 814.64, N = 3 SE +/- 911.67, N = 3 SE +/- 847.00, N = 3 SE +/- 2878.39, N = 3 SE +/- 530.40, N = 3 SE +/- 1307.15, N = 3 SE +/- 1041.29, N = 3 SE +/- 1128.81, N = 3 SE +/- 1318.45, N = 3 SE +/- 1795.11, N = 3 SE +/- 1514.83, N = 3 SE +/- 1365.15, N = 3 SE +/- 1437.35, N = 3 SE +/- 1810.72, N = 3 SE +/- 1742.78, N = 3 SE +/- 1410.52, N = 3 SE +/- 1031.15, N = 3 SE +/- 3199.10, N = 3 SE +/- 1967.95, N = 3 SE +/- 902.43, N = 3 1059281.8 1073228.3 1129441.6 1145963.1 1183988.8 1210116.8 1175677.7 1270159.2 1279481.9 1289797.0 1296390.3 1259260.4 1307825.7 1280484.3 1190017.2 1274188.2 1278094.7 1291467.3 1410677.5 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 200K 400K 600K 800K 1000K Min: 1057657.4 / Avg: 1059281.83 / Max: 1060202.8 Min: 1072178.8 / Avg: 1073228.3 / Max: 1075044.3 Min: 1127792.3 / Avg: 1129441.57 / Max: 1130601.1 Min: 1142348.1 / Avg: 1145963.13 / Max: 1151650.6 Min: 1182962.1 / Avg: 1183988.77 / Max: 1184733.3 Min: 1207654.4 / Avg: 1210116.8 / Max: 1212108.5 Min: 1173832.4 / Avg: 1175677.7 / Max: 1177436.4 Min: 1268537.9 / Avg: 1270159.17 / Max: 1272330.4 Min: 1277352.9 / Avg: 1279481.93 / Max: 1281893.8 Min: 1286617.4 / Avg: 1289796.97 / Max: 1292830.7 Min: 1294128.4 / Avg: 1296390.27 / Max: 1299266.8 Min: 1256647.8 / Avg: 1259260.37 / Max: 1261253.5 Min: 1306196.3 / Avg: 1307825.67 / Max: 1310691.4 Min: 1277193.7 / Avg: 1280484.33 / Max: 1283439.2 Min: 1186907.2 / Avg: 1190017.17 / Max: 1192935.2 Min: 1271782.9 / Avg: 1274188.2 / Max: 1276667.4 Min: 1276351.8 / Avg: 1278094.67 / Max: 1279920.9 Min: 1285072.9 / Avg: 1291467.3 / Max: 1294855.3 Min: 1407157.4 / Avg: 1410677.47 / Max: 1413962.4 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 2 4 6 8 10 SE +/- 0.008403, N = 3 SE +/- 0.038424, N = 3 SE +/- 0.020038, N = 3 SE +/- 0.004122, N = 3 SE +/- 0.014814, N = 3 SE +/- 0.004193, N = 3 SE +/- 0.005105, N = 3 SE +/- 0.011697, N = 3 SE +/- 0.009361, N = 3 SE +/- 0.001157, N = 3 SE +/- 0.002525, N = 3 SE +/- 0.005066, N = 3 SE +/- 0.004603, N = 3 SE +/- 0.000987, N = 3 SE +/- 0.021564, N = 3 SE +/- 0.002452, N = 3 SE +/- 0.019618, N = 3 SE +/- 0.013545, N = 3 SE +/- 0.004480, N = 3 SE +/- 0.009253, N = 3 6.090507 5.723526 5.265369 5.673728 5.588216 5.390151 5.655470 5.318605 5.308740 5.312421 5.303184 5.406158 5.222480 5.382421 5.411095 5.407218 5.349437 4.638079 4.590949 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 2 4 6 8 10 Min: 6.08 / Avg: 6.09 / Max: 6.11 Min: 5.66 / Avg: 5.72 / Max: 5.79 Min: 5.23 / Avg: 5.27 / Max: 5.29 Min: 5.67 / Avg: 5.67 / Max: 5.68 Min: 5.56 / Avg: 5.59 / Max: 5.62 Min: 5.38 / Avg: 5.39 / Max: 5.39 Min: 5.65 / Avg: 5.66 / Max: 5.66 Min: 5.3 / Avg: 5.32 / Max: 5.34 Min: 5.3 / Avg: 5.31 / Max: 5.33 Min: 5.31 / Avg: 5.31 / Max: 5.31 Min: 5.3 / Avg: 5.3 / Max: 5.31 Min: 5.4 / Avg: 5.41 / Max: 5.42 Min: 5.22 / Avg: 5.22 / Max: 5.23 Min: 5.38 / Avg: 5.38 / Max: 5.38 Min: 5.39 / Avg: 5.41 / Max: 5.45 Min: 5.4 / Avg: 5.41 / Max: 5.41 Min: 5.33 / Avg: 5.35 / Max: 5.39 Min: 4.61 / Avg: 4.64 / Max: 4.66 Min: 4.58 / Avg: 4.59 / Max: 4.6 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 5 10 15 20 25 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 20.30 20.01 18.93 17.24 16.67 16.93 16.88 16.10 15.89 15.73 15.72 16.38 15.56 15.77 15.89 16.05 16.52 16.89 15.40 15.31 1. (F9X) gfortran options: -cpp -ffree-line-length-0 -Jsource/ -fopenmp -O3 -fno-backtrace
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Nebular Empirical Analysis Tool 2020-02-29 EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 5 10 15 20 25 Min: 20.28 / Avg: 20.3 / Max: 20.33 Min: 19.99 / Avg: 20.01 / Max: 20.03 Min: 18.9 / Avg: 18.93 / Max: 18.96 Min: 17.2 / Avg: 17.24 / Max: 17.28 Min: 16.65 / Avg: 16.66 / Max: 16.68 Min: 16.87 / Avg: 16.93 / Max: 17 Min: 16.78 / Avg: 16.88 / Max: 16.95 Min: 16.05 / Avg: 16.1 / Max: 16.12 Min: 15.85 / Avg: 15.89 / Max: 15.96 Min: 15.7 / Avg: 15.73 / Max: 15.76 Min: 15.7 / Avg: 15.72 / Max: 15.74 Min: 16.33 / Avg: 16.38 / Max: 16.46 Min: 15.54 / Avg: 15.56 / Max: 15.57 Min: 15.75 / Avg: 15.77 / Max: 15.78 Min: 15.87 / Avg: 15.89 / Max: 15.91 Min: 16.04 / Avg: 16.05 / Max: 16.06 Min: 16.49 / Avg: 16.52 / Max: 16.55 Min: 16.87 / Avg: 16.89 / Max: 16.95 Min: 15.39 / Avg: 15.4 / Max: 15.42 Min: 15.27 / Avg: 15.31 / Max: 15.36 1. (F9X) gfortran options: -cpp -ffree-line-length-0 -Jsource/ -fopenmp -O3 -fno-backtrace
Basis Universal Basis Universal is a GPU texture codoec. This test times how long it takes to convert sRGB PNGs into Basis Univeral assets with various settings. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Basis Universal 1.12 Settings: UASTC Level 0 EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 3 6 9 12 15 SE +/- 0.043, N = 3 SE +/- 0.034, N = 3 SE +/- 0.006, N = 3 SE +/- 0.034, N = 3 SE +/- 0.021, N = 3 SE +/- 0.007, N = 3 SE +/- 0.020, N = 3 SE +/- 0.023, N = 3 SE +/- 0.029, N = 3 SE +/- 0.009, N = 3 SE +/- 0.010, N = 3 SE +/- 0.008, N = 3 SE +/- 0.019, N = 3 SE +/- 0.023, N = 3 SE +/- 0.012, N = 3 SE +/- 0.031, N = 3 SE +/- 0.023, N = 3 SE +/- 0.017, N = 3 SE +/- 0.013, N = 3 SE +/- 0.017, N = 3 9.746 9.854 9.270 9.236 8.934 8.894 8.815 8.282 8.251 8.174 8.195 8.343 8.053 8.286 8.232 8.206 8.151 8.156 7.452 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 3 6 9 12 15 Min: 9.7 / Avg: 9.75 / Max: 9.83 Min: 9.79 / Avg: 9.85 / Max: 9.89 Min: 9.26 / Avg: 9.27 / Max: 9.28 Min: 9.19 / Avg: 9.24 / Max: 9.3 Min: 8.9 / Avg: 8.93 / Max: 8.98 Min: 8.89 / Avg: 8.89 / Max: 8.91 Min: 8.78 / Avg: 8.81 / Max: 8.84 Min: 8.26 / Avg: 8.28 / Max: 8.33 Min: 8.22 / Avg: 8.25 / Max: 8.31 Min: 8.16 / Avg: 8.17 / Max: 8.19 Min: 8.18 / Avg: 8.2 / Max: 8.21 Min: 8.33 / Avg: 8.34 / Max: 8.36 Min: 8.03 / Avg: 8.05 / Max: 8.09 Min: 8.24 / Avg: 8.29 / Max: 8.31 Min: 8.21 / Avg: 8.23 / Max: 8.25 Min: 8.15 / Avg: 8.21 / Max: 8.26 Min: 8.11 / Avg: 8.15 / Max: 8.18 Min: 8.12 / Avg: 8.16 / Max: 8.18 Min: 7.44 / Avg: 7.45 / Max: 7.48 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 8 16 24 32 40 SE +/- 0.35, N = 3 SE +/- 0.28, N = 3 SE +/- 0.11, N = 3 SE +/- 0.26, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.16, N = 3 SE +/- 0.22, N = 3 SE +/- 0.04, N = 3 SE +/- 0.22, N = 3 SE +/- 0.32, N = 3 SE +/- 0.23, N = 3 SE +/- 0.03, N = 3 SE +/- 0.17, N = 3 SE +/- 0.09, N = 3 SE +/- 0.24, N = 3 SE +/- 0.08, N = 3 SE +/- 0.04, N = 3 29.20 27.69 30.29 29.00 31.16 32.18 30.09 32.31 32.12 32.56 32.80 31.34 32.68 31.63 31.25 32.70 32.87 32.86 36.57 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 8 16 24 32 40 Min: 28.59 / Avg: 29.2 / Max: 29.79 Min: 27.15 / Avg: 27.69 / Max: 28.04 Min: 30.11 / Avg: 30.29 / Max: 30.49 Min: 28.53 / Avg: 29 / Max: 29.41 Min: 31.08 / Avg: 31.16 / Max: 31.2 Min: 32.16 / Avg: 32.18 / Max: 32.19 Min: 29.97 / Avg: 30.09 / Max: 30.17 Min: 32.25 / Avg: 32.31 / Max: 32.38 Min: 31.84 / Avg: 32.12 / Max: 32.39 Min: 32.13 / Avg: 32.56 / Max: 32.84 Min: 32.75 / Avg: 32.8 / Max: 32.88 Min: 30.9 / Avg: 31.34 / Max: 31.56 Min: 32.06 / Avg: 32.68 / Max: 33.09 Min: 31.19 / Avg: 31.63 / Max: 31.98 Min: 31.21 / Avg: 31.25 / Max: 31.31 Min: 32.38 / Avg: 32.7 / Max: 32.95 Min: 32.7 / Avg: 32.87 / Max: 32.97 Min: 32.38 / Avg: 32.86 / Max: 33.16 Min: 36.4 / Avg: 36.57 / Max: 36.67 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 1000 2000 3000 4000 5000 SE +/- 59.72, N = 3 SE +/- 41.94, N = 3 SE +/- 27.91, N = 3 SE +/- 61.81, N = 3 SE +/- 17.16, N = 3 SE +/- 28.74, N = 3 SE +/- 41.76, N = 5 SE +/- 26.53, N = 3 SE +/- 63.25, N = 3 SE +/- 18.16, N = 3 SE +/- 22.02, N = 3 SE +/- 37.40, N = 3 SE +/- 62.71, N = 3 SE +/- 46.38, N = 15 SE +/- 62.88, N = 13 SE +/- 39.43, N = 3 SE +/- 56.97, N = 15 SE +/- 46.79, N = 5 SE +/- 47.65, N = 3 SE +/- 42.67, N = 15 3688.59 3667.41 3611.31 3588.51 3726.02 3927.11 3386.62 3868.68 3881.51 3937.80 3971.30 3451.28 3917.15 3760.37 3740.51 3882.01 3700.30 3976.82 4470.49 4212.78 1. (CC) gcc options: -O3 -mavx2
Result Confidence
OpenBenchmarking.org MFLOPS, More Is Better Himeno Benchmark 3.0 Poisson Pressure Solver EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 800 1600 2400 3200 4000 Min: 3570.78 / Avg: 3688.59 / Max: 3764.52 Min: 3608.56 / Avg: 3667.41 / Max: 3748.59 Min: 3565.39 / Avg: 3611.31 / Max: 3661.75 Min: 3495.49 / Avg: 3588.51 / Max: 3705.53 Min: 3693 / Avg: 3726.02 / Max: 3750.66 Min: 3869.82 / Avg: 3927.11 / Max: 3959.84 Min: 3300.1 / Avg: 3386.62 / Max: 3537.19 Min: 3834.8 / Avg: 3868.68 / Max: 3920.99 Min: 3763.86 / Avg: 3881.51 / Max: 3980.62 Min: 3901.88 / Avg: 3937.8 / Max: 3960.41 Min: 3927.26 / Avg: 3971.3 / Max: 3993.41 Min: 3381.62 / Avg: 3451.28 / Max: 3509.7 Min: 3799.52 / Avg: 3917.15 / Max: 4013.65 Min: 3248.17 / Avg: 3760.37 / Max: 3959.03 Min: 3086.64 / Avg: 3740.51 / Max: 3933.23 Min: 3818.26 / Avg: 3882.01 / Max: 3954.08 Min: 3308.25 / Avg: 3700.3 / Max: 4010.2 Min: 3868.41 / Avg: 3976.82 / Max: 4100.49 Min: 4412.42 / Avg: 4470.49 / Max: 4564.96 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 200 400 600 800 1000 796.72 807.88 816.12 689.57 713.90 679.00 699.94 672.93 694.08 686.79 682.90 737.06 667.86 725.77 734.24 755.11 770.65 762.90 699.50 619.74
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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 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 = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 4 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 0.044 0.044 0.046 0.036 0.036 0.043 0.039 0.037 0.036 0.037 0.037 0.042 0.036 0.038 0.038 0.036 0.035 0.039 0.040 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 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: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.04 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
TNN TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better TNN 0.2.3 Target: CPU - Model: MobileNet v2 EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 80 160 240 320 400 SE +/- 0.74, N = 3 SE +/- 0.82, N = 3 SE +/- 1.31, N = 3 SE +/- 1.01, N = 3 SE +/- 0.74, N = 3 SE +/- 0.41, N = 3 SE +/- 2.06, N = 3 SE +/- 0.56, N = 3 SE +/- 1.03, N = 3 SE +/- 0.33, N = 3 SE +/- 1.84, N = 3 SE +/- 0.14, N = 3 SE +/- 0.39, N = 3 SE +/- 1.79, N = 3 SE +/- 1.34, N = 3 SE +/- 4.04, N = 3 SE +/- 1.24, N = 3 SE +/- 0.05, N = 3 SE +/- 0.77, N = 3 SE +/- 0.27, N = 3 332.86 336.71 318.66 335.26 332.32 331.74 355.28 325.88 329.83 329.73 324.95 341.63 322.45 332.40 339.74 340.47 340.47 273.03 280.01 297.78 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 60 120 180 240 300 Min: 331.66 / Avg: 332.86 / Max: 334.2 Min: 335.1 / Avg: 336.71 / Max: 337.79 Min: 317.11 / Avg: 318.66 / Max: 321.26 Min: 333.82 / Avg: 335.26 / Max: 337.2 Min: 330.91 / Avg: 332.32 / Max: 333.45 Min: 331.09 / Avg: 331.74 / Max: 332.5 Min: 351.77 / Avg: 355.28 / Max: 358.9 Min: 324.89 / Avg: 325.88 / Max: 326.82 Min: 328.48 / Avg: 329.83 / Max: 331.86 Min: 329.06 / Avg: 329.73 / Max: 330.13 Min: 321.27 / Avg: 324.95 / Max: 326.89 Min: 341.48 / Avg: 341.63 / Max: 341.9 Min: 322.03 / Avg: 322.45 / Max: 323.23 Min: 329.08 / Avg: 332.4 / Max: 335.2 Min: 338.1 / Avg: 339.74 / Max: 342.39 Min: 335.17 / Avg: 340.47 / Max: 348.41 Min: 338.86 / Avg: 340.47 / Max: 342.91 Min: 272.98 / Avg: 273.03 / Max: 273.13 Min: 278.81 / Avg: 280.01 / Max: 281.44 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 1200 2400 3600 4800 6000 SE +/- 15.06, N = 4 SE +/- 69.56, N = 5 SE +/- 26.34, N = 4 SE +/- 19.97, N = 4 SE +/- 13.83, N = 4 SE +/- 20.47, N = 4 SE +/- 13.86, N = 4 SE +/- 8.63, N = 4 SE +/- 10.06, N = 4 SE +/- 18.30, N = 4 SE +/- 23.46, N = 4 SE +/- 16.79, N = 4 SE +/- 6.71, N = 4 SE +/- 2.06, N = 4 SE +/- 26.63, N = 4 SE +/- 8.68, N = 4 SE +/- 5.61, N = 4 SE +/- 30.31, N = 4 SE +/- 18.72, N = 4 SE +/- 19.39, N = 4 5554 5795 5183 5563 5358 5268 5530 5160 5168 5150 5134 5271 5077 5207 5239 5243 5188 4653 4462 4671
Result Confidence
OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 9.12-MR1 Java Test: Jython EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 1000 2000 3000 4000 5000 Min: 5524 / Avg: 5554.25 / Max: 5594 Min: 5582 / Avg: 5794.8 / Max: 5963 Min: 5121 / Avg: 5182.5 / Max: 5243 Min: 5507 / Avg: 5563.25 / Max: 5595 Min: 5328 / Avg: 5358 / Max: 5382 Min: 5226 / Avg: 5268 / Max: 5324 Min: 5509 / Avg: 5530 / Max: 5570 Min: 5139 / Avg: 5159.75 / Max: 5178 Min: 5149 / Avg: 5167.75 / Max: 5191 Min: 5106 / Avg: 5149.75 / Max: 5190 Min: 5065 / Avg: 5133.5 / Max: 5168 Min: 5250 / Avg: 5271.25 / Max: 5321 Min: 5063 / Avg: 5076.75 / Max: 5093 Min: 5202 / Avg: 5207.25 / Max: 5211 Min: 5192 / Avg: 5238.75 / Max: 5315 Min: 5228 / Avg: 5243.25 / Max: 5267 Min: 5179 / Avg: 5187.5 / Max: 5204 Min: 4584 / Avg: 4653.25 / Max: 4730 Min: 4430 / Avg: 4461.75 / Max: 4507 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 5K 10K 15K 20K 25K SE +/- 137.01, N = 3 SE +/- 75.31, N = 3 SE +/- 66.93, N = 3 SE +/- 373.32, N = 3 SE +/- 103.25, N = 3 SE +/- 92.58, N = 3 SE +/- 348.84, N = 3 SE +/- 141.59, N = 3 SE +/- 215.55, N = 3 SE +/- 259.85, N = 3 SE +/- 235.87, N = 3 SE +/- 96.86, N = 3 SE +/- 298.28, N = 3 SE +/- 221.45, N = 10 SE +/- 180.38, N = 3 SE +/- 311.13, N = 4 SE +/- 195.08, N = 15 SE +/- 113.70, N = 3 SE +/- 183.28, N = 3 SE +/- 270.77, N = 3 19607 18878 18535 22863 23230 20705 21306 22743 22692 23270 23150 20280 23973 23450 22639 23097 23480 21290 21127 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 4K 8K 12K 16K 20K Min: 19334.71 / Avg: 19607.37 / Max: 19767.3 Min: 18730.54 / Avg: 18878.12 / Max: 18977.97 Min: 18451.75 / Avg: 18535.19 / Max: 18667.56 Min: 22130.03 / Avg: 22863.19 / Max: 23352.09 Min: 23038.03 / Avg: 23230.17 / Max: 23391.76 Min: 20538.04 / Avg: 20704.74 / Max: 20857.89 Min: 20657.44 / Avg: 21306.03 / Max: 21852.97 Min: 22481.63 / Avg: 22742.66 / Max: 22968.25 Min: 22374.23 / Avg: 22691.94 / Max: 23103.15 Min: 22857.29 / Avg: 23269.7 / Max: 23749.77 Min: 22682.59 / Avg: 23150.17 / Max: 23438.09 Min: 20177.79 / Avg: 20280.37 / Max: 20473.98 Min: 23414.19 / Avg: 23973.07 / Max: 24433.21 Min: 22549.87 / Avg: 23450.11 / Max: 24645.45 Min: 22278.71 / Avg: 22639.45 / Max: 22823.9 Min: 22465.14 / Avg: 23097.1 / Max: 23890.97 Min: 22482.8 / Avg: 23479.62 / Max: 24923.3 Min: 21063.19 / Avg: 21289.58 / Max: 21421.19 Min: 20930.71 / Avg: 21126.73 / Max: 21493 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 6K 12K 18K 24K 30K SE +/- 121.60, N = 3 SE +/- 169.29, N = 3 SE +/- 33.02, N = 3 SE +/- 213.38, N = 3 SE +/- 38.55, N = 3 SE +/- 98.18, N = 3 SE +/- 230.00, N = 3 SE +/- 314.26, N = 3 SE +/- 244.15, N = 3 SE +/- 152.92, N = 3 SE +/- 237.04, N = 3 SE +/- 151.40, N = 3 SE +/- 350.21, N = 4 SE +/- 286.26, N = 3 SE +/- 239.87, N = 3 SE +/- 291.09, N = 3 SE +/- 331.01, N = 3 SE +/- 131.48, N = 3 SE +/- 285.78, N = 3 SE +/- 83.49, N = 3 22727 22534 21829 27558 28158 23451 25430 27089 28092 27460 27309 24032 27450 26679 26337 27597 28221 25644 25249 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 5K 10K 15K 20K 25K Min: 22577.93 / Avg: 22726.96 / Max: 22967.91 Min: 22204.48 / Avg: 22534.1 / Max: 22765.92 Min: 21781.12 / Avg: 21828.7 / Max: 21892.14 Min: 27157.63 / Avg: 27558.06 / Max: 27886.05 Min: 28092.62 / Avg: 28158.38 / Max: 28226.11 Min: 23322.1 / Avg: 23450.61 / Max: 23643.44 Min: 25055.95 / Avg: 25429.68 / Max: 25848.82 Min: 26753.58 / Avg: 27089.36 / Max: 27717.37 Min: 27663.45 / Avg: 28092.27 / Max: 28508.95 Min: 27243.42 / Avg: 27460.47 / Max: 27755.6 Min: 26918.38 / Avg: 27308.99 / Max: 27736.97 Min: 23806.11 / Avg: 24031.52 / Max: 24319.31 Min: 26711.61 / Avg: 27449.98 / Max: 28327.42 Min: 26360.32 / Avg: 26678.72 / Max: 27249.99 Min: 25860.1 / Avg: 26337.19 / Max: 26619.37 Min: 27036.41 / Avg: 27596.92 / Max: 28013.43 Min: 27573.78 / Avg: 28221.33 / Max: 28664.34 Min: 25466.37 / Avg: 25644.39 / Max: 25901 Min: 24734.57 / Avg: 25249.37 / Max: 25721.82 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 3 6 9 12 15 SE +/- 0.113, N = 3 SE +/- 0.087, N = 3 SE +/- 0.001, N = 3 SE +/- 0.067, N = 3 SE +/- 0.057, N = 3 SE +/- 0.045, N = 3 SE +/- 0.065, N = 3 SE +/- 0.039, N = 3 SE +/- 0.044, N = 3 SE +/- 0.038, N = 3 SE +/- 0.036, N = 3 SE +/- 0.051, N = 3 SE +/- 0.041, N = 3 SE +/- 0.110, N = 3 SE +/- 0.041, N = 3 SE +/- 0.138, N = 3 SE +/- 0.051, N = 3 SE +/- 0.036, N = 3 SE +/- 0.095, N = 3 SE +/- 0.011, N = 3 11.376 10.814 10.039 10.689 10.375 10.197 10.801 10.064 10.288 10.085 10.157 10.263 10.036 10.335 10.267 10.326 10.230 8.928 8.801 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 3 6 9 12 15 Min: 11.16 / Avg: 11.38 / Max: 11.53 Min: 10.67 / Avg: 10.81 / Max: 10.97 Min: 10.04 / Avg: 10.04 / Max: 10.04 Min: 10.56 / Avg: 10.69 / Max: 10.78 Min: 10.3 / Avg: 10.37 / Max: 10.49 Min: 10.11 / Avg: 10.2 / Max: 10.27 Min: 10.73 / Avg: 10.8 / Max: 10.93 Min: 9.99 / Avg: 10.06 / Max: 10.12 Min: 10.23 / Avg: 10.29 / Max: 10.37 Min: 10.02 / Avg: 10.09 / Max: 10.15 Min: 10.09 / Avg: 10.16 / Max: 10.22 Min: 10.21 / Avg: 10.26 / Max: 10.37 Min: 9.96 / Avg: 10.04 / Max: 10.09 Min: 10.2 / Avg: 10.33 / Max: 10.55 Min: 10.2 / Avg: 10.27 / Max: 10.34 Min: 10.17 / Avg: 10.33 / Max: 10.6 Min: 10.16 / Avg: 10.23 / Max: 10.33 Min: 8.86 / Avg: 8.93 / Max: 8.98 Min: 8.61 / Avg: 8.8 / Max: 8.91 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 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 +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 1.90 1.88 1.98 1.95 2.01 2.06 1.95 2.08 2.07 2.07 2.08 2.03 2.11 2.03 2.03 2.02 2.04 2.29 2.43 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 2 4 6 8 10 Min: 1.89 / Avg: 1.9 / Max: 1.9 Min: 1.88 / Avg: 1.88 / Max: 1.89 Min: 1.97 / Avg: 1.98 / Max: 1.98 Min: 1.95 / Avg: 1.95 / Max: 1.95 Min: 2.01 / Avg: 2.01 / Max: 2.02 Min: 2.05 / Avg: 2.06 / Max: 2.07 Min: 1.94 / Avg: 1.95 / Max: 1.97 Min: 2.08 / Avg: 2.08 / Max: 2.09 Min: 2.06 / Avg: 2.07 / Max: 2.07 Min: 2.06 / Avg: 2.07 / Max: 2.07 Min: 2.07 / Avg: 2.08 / Max: 2.09 Min: 2.03 / Avg: 2.03 / Max: 2.04 Min: 2.1 / Avg: 2.11 / Max: 2.12 Min: 2.03 / Avg: 2.03 / Max: 2.04 Min: 2.03 / Avg: 2.03 / Max: 2.03 Min: 2.02 / Avg: 2.02 / Max: 2.03 Min: 2.03 / Avg: 2.04 / Max: 2.05 Min: 2.28 / Avg: 2.29 / Max: 2.31 Min: 2.42 / Avg: 2.43 / Max: 2.44 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 70 140 210 280 350 SE +/- 0.59, N = 3 SE +/- 1.06, N = 3 SE +/- 0.94, N = 3 SE +/- 1.55, N = 3 SE +/- 0.49, N = 3 SE +/- 0.21, N = 3 SE +/- 0.78, N = 3 SE +/- 0.37, N = 3 SE +/- 0.39, N = 3 SE +/- 0.70, N = 3 SE +/- 1.20, N = 3 SE +/- 1.18, N = 3 SE +/- 0.74, N = 3 SE +/- 1.91, N = 3 SE +/- 1.72, N = 3 SE +/- 0.31, N = 3 SE +/- 0.71, N = 3 SE +/- 0.52, N = 3 SE +/- 0.25, N = 3 SE +/- 0.60, N = 3 262.38 285.87 301.92 286.69 290.46 296.95 285.63 299.52 301.55 302.31 300.32 294.22 304.52 295.56 292.04 293.14 299.00 334.49 338.78 318.42
Result Confidence
OpenBenchmarking.org Score, More Is Better Numpy Benchmark EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 60 120 180 240 300 Min: 261.34 / Avg: 262.38 / Max: 263.38 Min: 284.04 / Avg: 285.87 / Max: 287.7 Min: 300.3 / Avg: 301.92 / Max: 303.55 Min: 283.82 / Avg: 286.69 / Max: 289.14 Min: 289.5 / Avg: 290.46 / Max: 291.13 Min: 296.74 / Avg: 296.95 / Max: 297.36 Min: 284.14 / Avg: 285.63 / Max: 286.75 Min: 298.99 / Avg: 299.52 / Max: 300.22 Min: 300.83 / Avg: 301.55 / Max: 302.18 Min: 301.26 / Avg: 302.31 / Max: 303.63 Min: 298.01 / Avg: 300.32 / Max: 302.05 Min: 292.64 / Avg: 294.22 / Max: 296.53 Min: 303.14 / Avg: 304.52 / Max: 305.68 Min: 293.07 / Avg: 295.56 / Max: 299.32 Min: 288.63 / Avg: 292.04 / Max: 294.16 Min: 292.52 / Avg: 293.14 / Max: 293.46 Min: 297.69 / Avg: 299 / Max: 300.14 Min: 333.83 / Avg: 334.49 / Max: 335.52 Min: 338.28 / Avg: 338.78 / Max: 339.09 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 30 60 90 120 150 SE +/- 0.67, N = 3 SE +/- 1.52, N = 3 SE +/- 1.16, N = 6 SE +/- 1.22, N = 7 SE +/- 0.79, N = 3 SE +/- 0.03, N = 3 SE +/- 0.67, N = 3 SE +/- 0.64, N = 3 SE +/- 0.70, N = 3 SE +/- 0.10, N = 3 SE +/- 0.61, N = 3 SE +/- 0.48, N = 3 SE +/- 0.61, N = 3 SE +/- 0.68, N = 3 SE +/- 0.27, N = 3 SE +/- 0.70, N = 3 SE +/- 0.78, N = 3 SE +/- 1.34, N = 3 SE +/- 0.28, N = 3 SE +/- 0.02, N = 3 109.88 117.16 105.10 112.75 109.74 106.23 112.87 105.42 106.27 104.76 105.44 107.17 104.22 107.44 108.65 107.25 111.03 95.40 90.77 97.84 1. (CXX) g++ options: -O2 -lOpenCL
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP HotSpot3D EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 20 40 60 80 100 Min: 108.53 / Avg: 109.88 / Max: 110.59 Min: 114.36 / Avg: 117.16 / Max: 119.57 Min: 103.25 / Avg: 105.1 / Max: 110.63 Min: 109.7 / Avg: 112.75 / Max: 117.75 Min: 108.16 / Avg: 109.74 / Max: 110.58 Min: 106.17 / Avg: 106.23 / Max: 106.28 Min: 112.12 / Avg: 112.87 / Max: 114.21 Min: 104.56 / Avg: 105.42 / Max: 106.68 Min: 104.87 / Avg: 106.27 / Max: 106.98 Min: 104.62 / Avg: 104.76 / Max: 104.95 Min: 104.66 / Avg: 105.44 / Max: 106.63 Min: 106.36 / Avg: 107.17 / Max: 108.03 Min: 103.43 / Avg: 104.22 / Max: 105.42 Min: 106.6 / Avg: 107.44 / Max: 108.79 Min: 108.37 / Avg: 108.65 / Max: 109.18 Min: 106.3 / Avg: 107.25 / Max: 108.62 Min: 109.9 / Avg: 111.03 / Max: 112.54 Min: 92.75 / Avg: 95.4 / Max: 97.06 Min: 90.42 / Avg: 90.77 / Max: 91.33 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 0.0369 0.0738 0.1107 0.1476 0.1845 SE +/- 0.00032749, N = 3 SE +/- 0.00118082, N = 3 SE +/- 0.00046540, N = 3 SE +/- 0.00145393, N = 3 SE +/- 0.00034313, N = 3 SE +/- 0.00074092, N = 3 SE +/- 0.00270938, N = 3 SE +/- 0.00092600, N = 3 SE +/- 0.00121635, N = 3 SE +/- 0.00097007, N = 3 SE +/- 0.00218365, N = 4 SE +/- 0.00052958, N = 3 SE +/- 0.00213584, N = 4 SE +/- 0.00111418, N = 3 SE +/- 0.00073159, N = 3 SE +/- 0.00121073, N = 3 SE +/- 0.00157735, N = 3 SE +/- 0.00090133, N = 3 SE +/- 0.00030324, N = 3 SE +/- 0.00157658, N = 3 0.15760242 0.15815164 0.14928622 0.15500763 0.15535128 0.15036750 0.16397222 0.14753880 0.14815314 0.14899437 0.15202995 0.15176894 0.14391032 0.15077001 0.15034787 0.15099278 0.14786624 0.13005008 0.12735546 0.13268829
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Perl Benchmarks Test: Pod2html EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 1 2 3 4 5 Min: 0.16 / Avg: 0.16 / Max: 0.16 Min: 0.16 / Avg: 0.16 / Max: 0.16 Min: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.15 / Avg: 0.16 / Max: 0.16 Min: 0.15 / Avg: 0.16 / Max: 0.16 Min: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.16 / Avg: 0.16 / Max: 0.17 Min: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.15 / Avg: 0.15 / Max: 0.16 Min: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.14 / Avg: 0.14 / Max: 0.15 Min: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.15 / Avg: 0.15 / Max: 0.15 Min: 0.14 / Avg: 0.15 / Max: 0.15 Min: 0.13 / Avg: 0.13 / Max: 0.13 Min: 0.13 / Avg: 0.13 / Max: 0.13 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 300K 600K 900K 1200K 1500K SE +/- 537.25, N = 3 SE +/- 2137.19, N = 3 SE +/- 352.16, N = 3 SE +/- 974.55, N = 3 SE +/- 375.00, N = 3 SE +/- 713.77, N = 3 SE +/- 837.79, N = 3 SE +/- 825.62, N = 3 SE +/- 3144.17, N = 3 SE +/- 2477.29, N = 3 SE +/- 1691.70, N = 3 SE +/- 3188.58, N = 3 SE +/- 1012.15, N = 3 SE +/- 3450.73, N = 3 SE +/- 2773.38, N = 3 SE +/- 4135.18, N = 3 SE +/- 4294.50, N = 3 SE +/- 476.77, N = 3 SE +/- 2446.24, N = 3 SE +/- 1619.42, N = 3 948381.6 970567.6 957872.5 1049655.9 1082109.0 1068224.4 1058363.8 1116967.3 1128044.2 1121722.0 1149222.6 1085461.2 1146289.6 1104030.2 1072387.8 1083763.6 1094235.6 1089138.1 1179108.0 1220547.1
Result Confidence
OpenBenchmarking.org val/sec, More Is Better InfluxDB 1.8.2 Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 200K 400K 600K 800K 1000K Min: 947355.2 / Avg: 948381.6 / Max: 949170.1 Min: 966382.4 / Avg: 970567.57 / Max: 973412.5 Min: 957434.8 / Avg: 957872.47 / Max: 958569.2 Min: 1048319.8 / Avg: 1049655.87 / Max: 1051552.9 Min: 1081359.5 / Avg: 1082109.03 / Max: 1082506.8 Min: 1066800.6 / Avg: 1068224.43 / Max: 1069025.5 Min: 1057216.2 / Avg: 1058363.77 / Max: 1059994.9 Min: 1115818.7 / Avg: 1116967.33 / Max: 1118569 Min: 1121805.2 / Avg: 1128044.17 / Max: 1131844.7 Min: 1116887.2 / Avg: 1121722 / Max: 1125077.2 Min: 1146924 / Avg: 1149222.63 / Max: 1152522 Min: 1081877.1 / Avg: 1085461.23 / Max: 1091821.3 Min: 1144800.5 / Avg: 1146289.6 / Max: 1148221.7 Min: 1097478.3 / Avg: 1104030.2 / Max: 1109184.2 Min: 1068479.3 / Avg: 1072387.77 / Max: 1077750.5 Min: 1075660.9 / Avg: 1083763.63 / Max: 1089249.7 Min: 1089020.9 / Avg: 1094235.6 / Max: 1102753.4 Min: 1088610.7 / Avg: 1089138.13 / Max: 1090089.8 Min: 1174401.6 / Avg: 1179108 / Max: 1182618.6 Min: 1217678.7 / Avg: 1220547.07 / Max: 1223283.9
PostgreSQL pgbench This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 1 - Mode: Read Only - Average Latency EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 0.0122 0.0244 0.0366 0.0488 0.061 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 10 SE +/- 0.000, N = 3 SE +/- 0.001, N = 4 SE +/- 0.000, N = 15 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 0.051 0.053 0.054 0.044 0.043 0.048 0.047 0.044 0.044 0.043 0.043 0.050 0.042 0.043 0.044 0.044 0.043 0.047 0.048 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 1 2 3 4 5 Min: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.04 / Avg: 0.04 / Max: 0.05 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: 0.04 Min: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.04 Min: 0.04 / Avg: 0.04 / Max: 0.05 Min: 0.04 / Avg: 0.04 / Max: 0.05 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: 0.05 / 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7F32 EPYC 7F52 EPYC 7F72 2 4 6 8 10 SE +/- 0.022, N = 3 SE +/- 0.021, N = 3 SE +/- 0.006, N = 3 SE +/- 0.015, N = 3 SE +/- 0.008, N = 3 SE +/- 0.016, N = 3 SE +/- 0.010, N = 3 SE +/- 0.023, N = 3 SE +/- 0.024, N = 3 SE +/- 0.012, N = 3 SE +/- 0.003, N = 3 SE +/- 0.029, N = 3 SE +/- 0.017, N = 3 SE +/- 0.036, N = 3 SE +/- 0.008, N = 3 SE +/- 0.012, N = 3 6.584 6.590 6.248 6.121 6.039 5.894 6.298 5.970 5.974 5.922 5.915 6.077 5.873 5.512 5.145 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7F32 EPYC 7F52 EPYC 7F72 3 6 9 12 15 Min: 6.56 / Avg: 6.58 / Max: 6.63 Min: 6.56 / Avg: 6.59 / Max: 6.63 Min: 6.24 / Avg: 6.25 / Max: 6.26 Min: 6.09 / Avg: 6.12 / Max: 6.15 Min: 6.03 / Avg: 6.04 / Max: 6.06 Min: 5.86 / Avg: 5.89 / Max: 5.91 Min: 6.28 / Avg: 6.3 / Max: 6.32 Min: 5.95 / Avg: 5.97 / Max: 6.02 Min: 5.94 / Avg: 5.97 / Max: 6.02 Min: 5.9 / Avg: 5.92 / Max: 5.94 Min: 5.91 / Avg: 5.91 / Max: 5.92 Min: 6.03 / Avg: 6.08 / Max: 6.13 Min: 5.84 / Avg: 5.87 / Max: 5.9 Min: 5.45 / Avg: 5.51 / Max: 5.57 Min: 5.14 / Avg: 5.15 / Max: 5.16 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 140 280 420 560 700 SE +/- 3.15, N = 3 SE +/- 0.82, N = 3 SE +/- 0.90, N = 3 SE +/- 2.58, N = 3 SE +/- 4.78, N = 3 SE +/- 2.24, N = 3 SE +/- 1.70, N = 3 SE +/- 0.69, N = 3 SE +/- 2.27, N = 3 SE +/- 1.28, N = 3 SE +/- 1.68, N = 3 SE +/- 6.57, N = 5 SE +/- 1.77, N = 3 SE +/- 1.97, N = 3 SE +/- 0.97, N = 3 SE +/- 1.27, N = 3 SE +/- 2.23, N = 3 SE +/- 3.78, N = 3 SE +/- 3.29, N = 3 SE +/- 2.20, N = 3 514.90 524.17 561.08 518.46 522.70 546.00 522.61 552.58 553.03 551.71 554.85 498.78 555.91 548.14 544.37 547.26 553.10 627.38 638.63 610.59 1. (CC) gcc options: -lm
Result Confidence
OpenBenchmarking.org Mflops, More Is Better SciMark 2.0 Computational Test: Composite EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 110 220 330 440 550 Min: 509.41 / Avg: 514.9 / Max: 520.31 Min: 522.79 / Avg: 524.17 / Max: 525.64 Min: 559.5 / Avg: 561.08 / Max: 562.6 Min: 514.52 / Avg: 518.46 / Max: 523.31 Min: 515.19 / Avg: 522.7 / Max: 531.59 Min: 543.31 / Avg: 546 / Max: 550.44 Min: 519.72 / Avg: 522.61 / Max: 525.6 Min: 551.19 / Avg: 552.58 / Max: 553.32 Min: 549.37 / Avg: 553.03 / Max: 557.19 Min: 549.24 / Avg: 551.71 / Max: 553.49 Min: 551.67 / Avg: 554.85 / Max: 557.36 Min: 482.34 / Avg: 498.78 / Max: 510.26 Min: 553.76 / Avg: 555.91 / Max: 559.42 Min: 544.84 / Avg: 548.14 / Max: 551.64 Min: 543.29 / Avg: 544.37 / Max: 546.31 Min: 544.73 / Avg: 547.26 / Max: 548.69 Min: 548.69 / Avg: 553.1 / Max: 555.94 Min: 620.31 / Avg: 627.38 / Max: 633.22 Min: 633.32 / Avg: 638.63 / Max: 644.64 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 8 16 24 32 40 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.14, N = 3 SE +/- 0.10, N = 3 SE +/- 0.14, N = 3 SE +/- 0.09, N = 3 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.15, N = 3 SE +/- 0.10, N = 3 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.16, N = 3 SE +/- 0.04, N = 3 SE +/- 0.07, N = 3 SE +/- 0.09, N = 3 SE +/- 0.10, N = 3 SE +/- 0.07, N = 3 26.56 26.48 26.91 26.78 27.99 28.08 26.85 28.43 28.16 28.36 28.46 27.50 28.76 27.92 27.84 27.67 27.58 33.05 33.89 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 7 14 21 28 35 Min: 26.54 / Avg: 26.56 / Max: 26.6 Min: 26.42 / Avg: 26.48 / Max: 26.57 Min: 26.83 / Avg: 26.91 / Max: 26.99 Min: 26.51 / Avg: 26.78 / Max: 26.92 Min: 27.8 / Avg: 27.99 / Max: 28.13 Min: 27.82 / Avg: 28.08 / Max: 28.27 Min: 26.66 / Avg: 26.85 / Max: 26.96 Min: 28.25 / Avg: 28.43 / Max: 28.56 Min: 28.11 / Avg: 28.16 / Max: 28.2 Min: 28.35 / Avg: 28.36 / Max: 28.39 Min: 28.3 / Avg: 28.46 / Max: 28.76 Min: 27.33 / Avg: 27.5 / Max: 27.69 Min: 28.64 / Avg: 28.76 / Max: 28.84 Min: 27.88 / Avg: 27.92 / Max: 27.99 Min: 27.65 / Avg: 27.84 / Max: 28.15 Min: 27.6 / Avg: 27.67 / Max: 27.72 Min: 27.45 / Avg: 27.58 / Max: 27.68 Min: 32.88 / Avg: 33.05 / Max: 33.16 Min: 33.74 / Avg: 33.89 / Max: 34.08 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 200 400 600 800 1000 SE +/- 1.71, N = 3 SE +/- 0.67, N = 3 SE +/- 1.25, N = 3 SE +/- 2.14, N = 3 SE +/- 1.82, N = 3 SE +/- 1.41, N = 3 SE +/- 3.05, N = 3 SE +/- 0.85, N = 3 SE +/- 2.19, N = 3 SE +/- 2.14, N = 3 SE +/- 2.21, N = 3 SE +/- 3.86, N = 3 SE +/- 2.79, N = 3 SE +/- 1.86, N = 3 SE +/- 0.99, N = 3 SE +/- 0.05, N = 3 SE +/- 3.04, N = 3 SE +/- 2.65, N = 3 SE +/- 1.62, N = 3 SE +/- 0.81, N = 3 871.81 838.12 885.81 893.05 918.81 930.43 877.83 949.99 940.24 959.68 957.98 915.08 971.19 938.95 945.95 942.70 912.66 1021.52 1070.51 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 200 400 600 800 1000 Min: 869.8 / Avg: 871.81 / Max: 875.21 Min: 837.05 / Avg: 838.12 / Max: 839.34 Min: 884.13 / Avg: 885.81 / Max: 888.26 Min: 888.78 / Avg: 893.05 / Max: 895.41 Min: 916.37 / Avg: 918.81 / Max: 922.37 Min: 928.27 / Avg: 930.43 / Max: 933.08 Min: 873.21 / Avg: 877.83 / Max: 883.6 Min: 948.99 / Avg: 949.99 / Max: 951.68 Min: 936.37 / Avg: 940.24 / Max: 943.96 Min: 957.34 / Avg: 959.68 / Max: 963.95 Min: 954.44 / Avg: 957.98 / Max: 962.03 Min: 908.66 / Avg: 915.08 / Max: 922 Min: 965.61 / Avg: 971.19 / Max: 974.12 Min: 936.51 / Avg: 938.95 / Max: 942.6 Min: 944.15 / Avg: 945.95 / Max: 947.58 Min: 942.6 / Avg: 942.7 / Max: 942.78 Min: 907.1 / Avg: 912.66 / Max: 917.55 Min: 1017.45 / Avg: 1021.52 / Max: 1026.49 Min: 1068.74 / Avg: 1070.51 / Max: 1073.75 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 0.8415 1.683 2.5245 3.366 4.2075 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 2.96 2.93 3.09 2.99 3.08 3.17 3.01 3.21 3.17 3.18 3.19 3.12 3.25 3.12 3.12 3.09 3.12 3.59 3.74 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 2 4 6 8 10 Min: 2.95 / Avg: 2.96 / Max: 2.97 Min: 2.92 / Avg: 2.93 / Max: 2.94 Min: 3.08 / Avg: 3.09 / Max: 3.1 Min: 2.98 / Avg: 2.99 / Max: 3 Min: 3.07 / Avg: 3.08 / Max: 3.09 Min: 3.15 / Avg: 3.17 / Max: 3.2 Min: 2.99 / Avg: 3.01 / Max: 3.03 Min: 3.2 / Avg: 3.21 / Max: 3.22 Min: 3.16 / Avg: 3.17 / Max: 3.18 Min: 3.17 / Avg: 3.18 / Max: 3.18 Min: 3.19 / Avg: 3.19 / Max: 3.19 Min: 3.11 / Avg: 3.12 / Max: 3.12 Min: 3.23 / Avg: 3.25 / Max: 3.27 Min: 3.12 / Avg: 3.12 / Max: 3.12 Min: 3.11 / Avg: 3.12 / Max: 3.13 Min: 3.09 / Avg: 3.09 / Max: 3.1 Min: 3.12 / Avg: 3.12 / Max: 3.13 Min: 3.57 / Avg: 3.59 / Max: 3.6 Min: 3.73 / Avg: 3.74 / Max: 3.75 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 11 22 33 44 55 SE +/- 0.16, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 45.49 45.67 43.45 45.96 46.19 45.35 48.59 45.51 46.25 45.95 45.95 47.57 45.29 46.70 47.09 46.49 46.18 38.06 39.28 42.06
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Antialias EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 10 20 30 40 50 Min: 45.18 / Avg: 45.49 / Max: 45.7 Min: 45.66 / Avg: 45.67 / Max: 45.7 Min: 43.39 / Avg: 43.45 / Max: 43.49 Min: 45.89 / Avg: 45.96 / Max: 46 Min: 46.18 / Avg: 46.19 / Max: 46.2 Min: 45.34 / Avg: 45.35 / Max: 45.38 Min: 48.5 / Avg: 48.59 / Max: 48.67 Min: 45.49 / Avg: 45.51 / Max: 45.52 Min: 46.23 / Avg: 46.25 / Max: 46.28 Min: 45.9 / Avg: 45.95 / Max: 46 Min: 45.93 / Avg: 45.95 / Max: 45.97 Min: 47.51 / Avg: 47.57 / Max: 47.62 Min: 45.27 / Avg: 45.29 / Max: 45.3 Min: 46.69 / Avg: 46.7 / Max: 46.71 Min: 47.08 / Avg: 47.09 / Max: 47.11 Min: 46.42 / Avg: 46.49 / Max: 46.53 Min: 46.1 / Avg: 46.18 / Max: 46.22 Min: 38.05 / Avg: 38.06 / Max: 38.09 Min: 39.22 / Avg: 39.28 / Max: 39.32 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 6000M 12000M 18000M 24000M 30000M SE +/- 403725574.05, N = 3 SE +/- 314647678.30, N = 3 SE +/- 286988667.50, N = 3 SE +/- 252259078.21, N = 3 SE +/- 262528887.35, N = 3 SE +/- 257688840.28, N = 3 SE +/- 405179316.78, N = 3 SE +/- 221045514.68, N = 3 SE +/- 260349467.99, N = 3 SE +/- 382431111.51, N = 3 SE +/- 319930671.11, N = 3 SE +/- 371050761.61, N = 3 SE +/- 270641509.43, N = 3 SE +/- 277727800.92, N = 3 SE +/- 264303439.24, N = 3 SE +/- 295544204.19, N = 3 SE +/- 302020444.34, N = 3 SE +/- 162622849.80, N = 3 SE +/- 199580423.82, N = 3 SE +/- 150437988.79, N = 3 26833773763 26554811142 25036050319 26635457359 26061132684 25583041011 27160653682 25481171757 25983329425 25830214816 25935430170 26413350226 25579772126 26784839020 26811743887 27371988085 27156606176 21612938632 21458302092 22522673323
Result Confidence
OpenBenchmarking.org Nanoseconds/Operation, Fewer Is Better Go Benchmarks Test: build EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 5000M 10000M 15000M 20000M 25000M Min: 26256594229 / Avg: 26833773762.67 / Max: 27611373608 Min: 26148149868 / Avg: 26554811141.67 / Max: 27174049750 Min: 24721687629 / Avg: 25036050319 / Max: 25609127757 Min: 26296989348 / Avg: 26635457358.67 / Max: 27128702910 Min: 25723985903 / Avg: 26061132683.67 / Max: 26578293633 Min: 25289195555 / Avg: 25583041010.67 / Max: 26096640369 Min: 26709579111 / Avg: 27160653681.67 / Max: 27969208664 Min: 25250159824 / Avg: 25481171757 / Max: 25923110678 Min: 25699669989 / Avg: 25983329425 / Max: 26503310607 Min: 25402613145 / Avg: 25830214816 / Max: 26593222601 Min: 25498348340 / Avg: 25935430170.33 / Max: 26558676544 Min: 25992830121 / Avg: 26413350226.33 / Max: 27153146051 Min: 25215434359 / Avg: 25579772125.67 / Max: 26108616612 Min: 26458538443 / Avg: 26784839020.33 / Max: 27337276021 Min: 26485058463 / Avg: 26811743886.67 / Max: 27334984361 Min: 27064599055 / Avg: 27371988084.67 / Max: 27962916082 Min: 26813018719 / Avg: 27156606175.67 / Max: 27758643778 Min: 21386676155 / Avg: 21612938632.33 / Max: 21928412507 Min: 21203679144 / Avg: 21458302092.33 / Max: 21851832278 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 9 18 27 36 45 SE +/- 0.01, N = 3 SE +/- 0.03, 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 +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 36.73 36.72 35.03 36.74 37.04 36.53 39.20 36.79 37.56 37.23 37.25 38.65 36.67 37.95 38.28 37.67 37.44 30.76 31.86 34.16
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Tile Glass EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 8 16 24 32 40 Min: 36.7 / Avg: 36.73 / Max: 36.75 Min: 36.67 / Avg: 36.72 / Max: 36.76 Min: 35 / Avg: 35.03 / Max: 35.08 Min: 36.69 / Avg: 36.74 / Max: 36.84 Min: 37.01 / Avg: 37.04 / Max: 37.1 Min: 36.5 / Avg: 36.53 / Max: 36.56 Min: 39.17 / Avg: 39.2 / Max: 39.22 Min: 36.73 / Avg: 36.79 / Max: 36.85 Min: 37.54 / Avg: 37.56 / Max: 37.59 Min: 37.22 / Avg: 37.23 / Max: 37.25 Min: 37.21 / Avg: 37.25 / Max: 37.31 Min: 38.55 / Avg: 38.65 / Max: 38.73 Min: 36.61 / Avg: 36.67 / Max: 36.71 Min: 37.93 / Avg: 37.94 / Max: 37.96 Min: 38.26 / Avg: 38.28 / Max: 38.32 Min: 37.64 / Avg: 37.67 / Max: 37.7 Min: 37.39 / Avg: 37.44 / Max: 37.51 Min: 30.72 / Avg: 30.76 / Max: 30.79 Min: 31.81 / Avg: 31.86 / Max: 31.94 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 0.0126 0.0252 0.0378 0.0504 0.063 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 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 0.054 0.056 0.056 0.045 0.045 0.051 0.049 0.046 0.044 0.045 0.045 0.052 0.045 0.045 0.046 0.046 0.046 0.049 0.049 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 1 2 3 4 5 Min: 0.05 / Avg: 0.05 / Max: 0.06 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: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.04 / Avg: 0.04 / Max: 0.05 Min: 0.04 / Avg: 0.04 / Max: 0.05 Min: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.04 / Avg: 0.05 / Max: 0.05 Min: 0.04 / Avg: 0.05 / Max: 0.05 Min: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.05 / Avg: 0.05 / Max: 0.05 Min: 0.05 / 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 70 140 210 280 350 SE +/- 0.27, N = 3 SE +/- 0.44, N = 3 SE +/- 0.56, N = 3 SE +/- 0.26, N = 3 SE +/- 0.40, N = 3 SE +/- 0.19, N = 3 SE +/- 0.40, N = 3 SE +/- 0.22, N = 3 SE +/- 0.43, N = 3 SE +/- 0.18, N = 3 SE +/- 0.42, N = 3 SE +/- 0.79, N = 3 SE +/- 0.41, N = 3 SE +/- 0.21, N = 3 SE +/- 0.42, N = 3 SE +/- 0.38, N = 3 SE +/- 0.13, N = 3 SE +/- 0.42, N = 3 SE +/- 0.22, N = 3 SE +/- 0.16, N = 3 317.25 299.40 284.19 299.48 295.00 287.70 303.03 283.80 284.17 283.83 283.69 289.39 280.26 288.66 287.72 287.49 285.86 253.15 250.34 262.15 1. (CXX) g++ options: -O2
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better LZMA Compression 256MB File Compression EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 60 120 180 240 300 Min: 316.76 / Avg: 317.25 / Max: 317.67 Min: 298.85 / Avg: 299.4 / Max: 300.28 Min: 283.27 / Avg: 284.18 / Max: 285.21 Min: 298.98 / Avg: 299.48 / Max: 299.82 Min: 294.38 / Avg: 295 / Max: 295.76 Min: 287.32 / Avg: 287.7 / Max: 287.89 Min: 302.31 / Avg: 303.03 / Max: 303.67 Min: 283.5 / Avg: 283.8 / Max: 284.24 Min: 283.53 / Avg: 284.17 / Max: 284.98 Min: 283.49 / Avg: 283.83 / Max: 284.12 Min: 283.03 / Avg: 283.69 / Max: 284.46 Min: 287.82 / Avg: 289.39 / Max: 290.18 Min: 279.55 / Avg: 280.26 / Max: 280.97 Min: 288.26 / Avg: 288.66 / Max: 288.94 Min: 286.99 / Avg: 287.72 / Max: 288.45 Min: 287.04 / Avg: 287.49 / Max: 288.24 Min: 285.61 / Avg: 285.86 / Max: 286.04 Min: 252.34 / Avg: 253.15 / Max: 253.74 Min: 250.1 / Avg: 250.34 / Max: 250.78 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 11 22 33 44 55 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 SE +/- 0.12, N = 3 SE +/- 0.07, N = 3 SE +/- 0.12, N = 3 SE +/- 0.11, N = 3 SE +/- 0.13, N = 3 SE +/- 0.10, N = 3 SE +/- 0.03, N = 3 SE +/- 0.11, N = 3 SE +/- 0.10, N = 3 SE +/- 0.03, N = 3 SE +/- 0.10, N = 3 SE +/- 0.08, N = 3 SE +/- 0.10, N = 3 SE +/- 0.09, N = 3 SE +/- 0.09, N = 3 SE +/- 0.13, N = 3 SE +/- 0.09, N = 3 SE +/- 0.15, N = 3 46.63 45.46 42.55 45.31 44.85 43.62 45.77 42.86 42.79 42.96 42.93 43.75 42.37 43.72 43.72 43.72 43.09 37.03 36.89 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 9 18 27 36 45 Min: 46.45 / Avg: 46.63 / Max: 46.74 Min: 45.42 / Avg: 45.46 / Max: 45.53 Min: 42.38 / Avg: 42.55 / Max: 42.78 Min: 45.17 / Avg: 45.31 / Max: 45.43 Min: 44.68 / Avg: 44.85 / Max: 45.08 Min: 43.4 / Avg: 43.62 / Max: 43.73 Min: 45.52 / Avg: 45.77 / Max: 45.96 Min: 42.72 / Avg: 42.86 / Max: 43.05 Min: 42.72 / Avg: 42.79 / Max: 42.82 Min: 42.75 / Avg: 42.96 / Max: 43.12 Min: 42.82 / Avg: 42.93 / Max: 43.12 Min: 43.71 / Avg: 43.75 / Max: 43.8 Min: 42.17 / Avg: 42.37 / Max: 42.5 Min: 43.59 / Avg: 43.72 / Max: 43.85 Min: 43.51 / Avg: 43.72 / Max: 43.84 Min: 43.54 / Avg: 43.72 / Max: 43.82 Min: 42.93 / Avg: 43.09 / Max: 43.23 Min: 36.86 / Avg: 37.03 / Max: 37.28 Min: 36.78 / Avg: 36.89 / Max: 37.06 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 5K 10K 15K 20K 25K SE +/- 205.26, N = 3 SE +/- 129.62, N = 3 SE +/- 42.01, N = 3 SE +/- 27.06, N = 3 SE +/- 89.85, N = 3 SE +/- 162.08, N = 3 SE +/- 259.08, N = 3 SE +/- 118.63, N = 3 SE +/- 379.01, N = 3 SE +/- 262.17, N = 3 SE +/- 159.06, N = 3 SE +/- 184.41, N = 3 SE +/- 176.46, N = 3 SE +/- 348.99, N = 3 SE +/- 89.99, N = 3 SE +/- 103.27, N = 3 SE +/- 206.48, N = 3 SE +/- 93.22, N = 3 SE +/- 40.49, N = 3 SE +/- 285.19, N = 4 18592 18091 17838 22181 22180 19628 20319 21983 22544 22326 22181 19432 22218 22073 21827 21921 21786 20488 20469 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 4K 8K 12K 16K 20K Min: 18182.08 / Avg: 18591.87 / Max: 18817.89 Min: 17944.02 / Avg: 18090.74 / Max: 18349.19 Min: 17753.67 / Avg: 17837.68 / Max: 17880.04 Min: 22144.29 / Avg: 22180.58 / Max: 22233.5 Min: 22003.76 / Avg: 22179.9 / Max: 22298.85 Min: 19360.7 / Avg: 19628.5 / Max: 19920.57 Min: 19805.7 / Avg: 20318.57 / Max: 20639.03 Min: 21821.23 / Avg: 21983.11 / Max: 22214.27 Min: 21988.7 / Avg: 22543.58 / Max: 23268.26 Min: 21982.24 / Avg: 22326.42 / Max: 22841.08 Min: 21867.11 / Avg: 22181.49 / Max: 22380.89 Min: 19156.62 / Avg: 19432.42 / Max: 19782.39 Min: 21966.52 / Avg: 22218.05 / Max: 22558.21 Min: 21597.21 / Avg: 22073.2 / Max: 22753.29 Min: 21648.3 / Avg: 21827.19 / Max: 21933.74 Min: 21791.82 / Avg: 21920.87 / Max: 22125.05 Min: 21391.67 / Avg: 21786.32 / Max: 22088.94 Min: 20323.51 / Avg: 20487.99 / Max: 20646.25 Min: 20410.79 / Avg: 20468.57 / Max: 20546.61 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 4K 8K 12K 16K 20K SE +/- 151.54, N = 3 SE +/- 109.92, N = 3 SE +/- 174.94, N = 3 SE +/- 147.87, N = 3 SE +/- 77.59, N = 3 SE +/- 171.42, N = 6 SE +/- 65.28, N = 3 SE +/- 39.40, N = 3 SE +/- 94.50, N = 3 SE +/- 204.31, N = 3 SE +/- 86.33, N = 3 SE +/- 71.08, N = 3 SE +/- 39.21, N = 3 SE +/- 115.47, N = 3 SE +/- 104.33, N = 3 SE +/- 238.37, N = 3 SE +/- 224.88, N = 3 SE +/- 77.56, N = 3 SE +/- 30.07, N = 3 SE +/- 185.62, N = 8 14210 14138 14633 14445 14608 14751 14443 14979 15060 15020 14985 14709 15187 14955 14496 14945 14749 15791 16017 17858 1. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm
Result Confidence
OpenBenchmarking.org Mflops, More Is Better FFTW 3.3.6 Build: Float + SSE - Size: 2D FFT Size 4096 EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 3K 6K 9K 12K 15K Min: 13997 / Avg: 14209.67 / Max: 14503 Min: 13955 / Avg: 14138 / Max: 14335 Min: 14283 / Avg: 14632.67 / Max: 14818 Min: 14172 / Avg: 14445 / Max: 14680 Min: 14524 / Avg: 14608 / Max: 14763 Min: 13908 / Avg: 14751.17 / Max: 15000 Min: 14319 / Avg: 14443.33 / Max: 14540 Min: 14904 / Avg: 14979.33 / Max: 15037 Min: 14874 / Avg: 15060 / Max: 15182 Min: 14632 / Avg: 15020 / Max: 15325 Min: 14886 / Avg: 14985 / Max: 15157 Min: 14589 / Avg: 14709 / Max: 14835 Min: 15109 / Avg: 15187 / Max: 15233 Min: 14780 / Avg: 14955 / Max: 15173 Min: 14336 / Avg: 14496 / Max: 14692 Min: 14469 / Avg: 14945 / Max: 15206 Min: 14396 / Avg: 14749.33 / Max: 15167 Min: 15637 / Avg: 15791.33 / Max: 15882 Min: 15963 / Avg: 16016.67 / Max: 16067 Min: 16971 / Avg: 17858.25 / Max: 18417 1. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm
BYTE Unix Benchmark This is a test of BYTE. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org LPS, More Is Better BYTE Unix Benchmark 3.6 Computational Test: Dhrystone 2 EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 9M 18M 27M 36M 45M SE +/- 252864.20, N = 3 SE +/- 130216.74, N = 3 SE +/- 436419.16, N = 5 SE +/- 155536.72, N = 3 SE +/- 165385.16, N = 3 SE +/- 472480.22, N = 3 SE +/- 166454.26, N = 3 SE +/- 226875.87, N = 3 SE +/- 486609.08, N = 3 SE +/- 367535.20, N = 3 SE +/- 137924.77, N = 3 SE +/- 226742.78, N = 3 SE +/- 288205.93, N = 3 SE +/- 253533.19, N = 3 SE +/- 229640.42, N = 3 SE +/- 198080.38, N = 3 SE +/- 217072.87, N = 3 SE +/- 290111.25, N = 3 SE +/- 472119.65, N = 6 SE +/- 216768.78, N = 3 32409435.2 33048937.0 34728740.7 33234938.3 31997433.8 33558264.8 31911088.8 33817633.6 32982666.1 33922674.2 33230145.2 32270334.2 33745274.1 32835766.0 33456314.6 31996287.3 34006118.7 40212653.6 39633515.4 39446298.1
Result Confidence
OpenBenchmarking.org LPS, More Is Better BYTE Unix Benchmark 3.6 Computational Test: Dhrystone 2 EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 7M 14M 21M 28M 35M Min: 31904966 / Avg: 32409435.17 / Max: 32692557.6 Min: 32797065.1 / Avg: 33048936.97 / Max: 33232228.1 Min: 33693824.3 / Avg: 34728740.74 / Max: 35856987.7 Min: 32942651.5 / Avg: 33234938.3 / Max: 33473284.4 Min: 31674127.4 / Avg: 31997433.83 / Max: 32219597.1 Min: 32668442.4 / Avg: 33558264.8 / Max: 34278629.7 Min: 31595288.5 / Avg: 31911088.8 / Max: 32160223.2 Min: 33580391.9 / Avg: 33817633.6 / Max: 34271225 Min: 32220133 / Avg: 32982666.1 / Max: 33887643.1 Min: 33506863.3 / Avg: 33922674.2 / Max: 34655529.5 Min: 32996788.2 / Avg: 33230145.2 / Max: 33474213.3 Min: 31818496.7 / Avg: 32270334.2 / Max: 32529704.7 Min: 33232001.3 / Avg: 33745274.07 / Max: 34229069.6 Min: 32393997.8 / Avg: 32835766 / Max: 33272214.2 Min: 33133629.2 / Avg: 33456314.63 / Max: 33900694 Min: 31617582.3 / Avg: 31996287.27 / Max: 32286359.3 Min: 33572556.5 / Avg: 34006118.67 / Max: 34242387.5 Min: 39688926 / Avg: 40212653.6 / Max: 40690794.2 Min: 37414193 / Avg: 39633515.43 / Max: 40556935 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 3 6 9 12 15 SE +/- 0.021, N = 3 SE +/- 0.016, N = 3 SE +/- 0.012, N = 3 SE +/- 0.038, N = 3 SE +/- 0.021, N = 3 SE +/- 0.045, N = 3 SE +/- 0.021, N = 3 SE +/- 0.027, N = 3 SE +/- 0.031, N = 3 SE +/- 0.019, N = 3 SE +/- 0.032, N = 3 SE +/- 0.031, N = 3 SE +/- 0.023, N = 3 SE +/- 0.029, N = 3 SE +/- 0.022, N = 3 SE +/- 0.034, N = 3 SE +/- 0.032, N = 3 SE +/- 0.013, N = 3 SE +/- 0.034, N = 3 SE +/- 0.015, N = 3 10.404 10.335 9.775 10.385 10.384 10.160 10.820 10.052 10.365 10.277 10.233 10.633 9.983 10.572 10.505 10.310 10.142 8.587 8.706 9.252
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Crop EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 3 6 9 12 15 Min: 10.36 / Avg: 10.4 / Max: 10.43 Min: 10.32 / Avg: 10.34 / Max: 10.37 Min: 9.76 / Avg: 9.78 / Max: 9.8 Min: 10.31 / Avg: 10.38 / Max: 10.44 Min: 10.35 / Avg: 10.38 / Max: 10.42 Min: 10.1 / Avg: 10.16 / Max: 10.25 Min: 10.78 / Avg: 10.82 / Max: 10.85 Min: 10 / Avg: 10.05 / Max: 10.1 Min: 10.31 / Avg: 10.37 / Max: 10.41 Min: 10.25 / Avg: 10.28 / Max: 10.31 Min: 10.18 / Avg: 10.23 / Max: 10.29 Min: 10.59 / Avg: 10.63 / Max: 10.69 Min: 9.94 / Avg: 9.98 / Max: 10.02 Min: 10.53 / Avg: 10.57 / Max: 10.63 Min: 10.46 / Avg: 10.5 / Max: 10.53 Min: 10.26 / Avg: 10.31 / Max: 10.38 Min: 10.09 / Avg: 10.14 / Max: 10.2 Min: 8.56 / Avg: 8.59 / Max: 8.6 Min: 8.64 / Avg: 8.71 / Max: 8.74 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 0.4325 0.865 1.2975 1.73 2.1625 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 SE +/- 0.004, N = 3 SE +/- 0.010, N = 3 SE +/- 0.003, N = 3 SE +/- 0.002, N = 3 SE +/- 0.006, N = 3 SE +/- 0.003, N = 3 SE +/- 0.003, N = 3 SE +/- 0.004, N = 3 SE +/- 0.002, N = 3 SE +/- 0.004, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.006, N = 3 SE +/- 0.009, N = 3 SE +/- 0.005, N = 3 SE +/- 0.003, N = 3 SE +/- 0.004, N = 3 1.854 1.901 1.748 1.862 1.849 1.800 1.894 1.773 1.778 1.767 1.776 1.802 1.745 1.799 1.802 1.812 1.792 1.538 1.528 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 2 4 6 8 10 Min: 1.85 / Avg: 1.85 / Max: 1.86 Min: 1.9 / Avg: 1.9 / Max: 1.91 Min: 1.74 / Avg: 1.75 / Max: 1.75 Min: 1.84 / Avg: 1.86 / Max: 1.87 Min: 1.84 / Avg: 1.85 / Max: 1.85 Min: 1.8 / Avg: 1.8 / Max: 1.8 Min: 1.88 / Avg: 1.89 / Max: 1.9 Min: 1.77 / Avg: 1.77 / Max: 1.78 Min: 1.77 / Avg: 1.78 / Max: 1.78 Min: 1.76 / Avg: 1.77 / Max: 1.77 Min: 1.77 / Avg: 1.78 / Max: 1.78 Min: 1.79 / Avg: 1.8 / Max: 1.81 Min: 1.75 / Avg: 1.75 / Max: 1.75 Min: 1.8 / Avg: 1.8 / Max: 1.8 Min: 1.8 / Avg: 1.8 / Max: 1.8 Min: 1.8 / Avg: 1.81 / Max: 1.82 Min: 1.78 / Avg: 1.79 / Max: 1.81 Min: 1.53 / Avg: 1.54 / Max: 1.55 Min: 1.52 / Avg: 1.53 / Max: 1.53 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 3K 6K 9K 12K 15K SE +/- 56.96, N = 3 SE +/- 50.19, N = 3 SE +/- 104.18, N = 3 SE +/- 56.96, N = 3 SE +/- 63.42, N = 3 SE +/- 163.64, N = 3 SE +/- 112.46, N = 3 SE +/- 190.33, N = 3 SE +/- 155.07, N = 3 SE +/- 56.96, N = 3 SE +/- 115.44, N = 3 SE +/- 60.88, N = 6 SE +/- 63.42, N = 3 SE +/- 189.94, N = 3 SE +/- 170.94, N = 3 SE +/- 78.14, N = 4 SE +/- 102.66, N = 3 SE +/- 73.16, N = 3 SE +/- 75.38, N = 3 SE +/- 80.13, N = 3 13101 12295 12554 13044 13762 13579 12933 13704 13219 13101 13218 13394 13825 12826 12991 12580 13335 14779 15076 15465 1. (CXX) g++ options: -pie -fPIC -fstack-protector -O2 -lpthread -llzma -lbz2 -lsnappy -lnuma -lpcre2-8 -lcrypt -lz -lm -lssl -lcrypto -ldl
Result Confidence
OpenBenchmarking.org Queries Per Second, More Is Better MariaDB 10.5.2 Clients: 1 EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 3K 6K 9K 12K 15K Min: 12987.01 / Avg: 13100.93 / Max: 13157.89 Min: 12195.12 / Avg: 12295.49 / Max: 12345.68 Min: 12345.68 / Avg: 12554.04 / Max: 12658.23 Min: 12987.01 / Avg: 13043.97 / Max: 13157.89 Min: 13698.63 / Avg: 13762.05 / Max: 13888.89 Min: 13333.33 / Avg: 13578.58 / Max: 13888.89 Min: 12820.51 / Avg: 12932.97 / Max: 13157.89 Min: 13513.51 / Avg: 13703.84 / Max: 14084.51 Min: 12987.01 / Avg: 13219.47 / Max: 13513.51 Min: 12987.01 / Avg: 13100.93 / Max: 13157.89 Min: 12987.01 / Avg: 13217.89 / Max: 13333.33 Min: 13333.33 / Avg: 13394.22 / Max: 13698.63 Min: 13698.63 / Avg: 13825.47 / Max: 13888.89 Min: 12500 / Avg: 12826.14 / Max: 13157.89 Min: 12820.51 / Avg: 12991.45 / Max: 13333.33 Min: 12345.68 / Avg: 12580.09 / Max: 12658.23 Min: 13157.89 / Avg: 13334.91 / Max: 13513.51 Min: 14705.88 / Avg: 14779.05 / Max: 14925.37 Min: 14925.37 / Avg: 15076.13 / Max: 15151.52 Min: 15384.62 / Avg: 15464.74 / Max: 15625 1. (CXX) g++ options: -pie -fPIC -fstack-protector -O2 -lpthread -llzma -lbz2 -lsnappy -lnuma -lpcre2-8 -lcrypt -lz -lm -lssl -lcrypto -ldl
Bullet Physics Engine This is a benchmark of the Bullet Physics Engine. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Bullet Physics Engine 2.81 Test: 1000 Convex EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 1.1755 2.351 3.5265 4.702 5.8775 SE +/- 0.007223, N = 3 SE +/- 0.010168, N = 3 SE +/- 0.008742, N = 3 SE +/- 0.016217, N = 3 SE +/- 0.003474, N = 3 SE +/- 0.002894, N = 3 SE +/- 0.002824, N = 3 SE +/- 0.000683, N = 3 SE +/- 0.004633, N = 3 SE +/- 0.002829, N = 3 SE +/- 0.008226, N = 3 SE +/- 0.012064, N = 3 SE +/- 0.000419, N = 3 SE +/- 0.002361, N = 3 SE +/- 0.004061, N = 3 SE +/- 0.000840, N = 3 SE +/- 0.003424, N = 3 SE +/- 0.011665, N = 3 SE +/- 0.000994, N = 3 SE +/- 0.003840, N = 3 5.224225 5.145545 4.806707 5.121093 5.056768 4.896866 5.143761 4.831873 4.839403 4.826640 4.852151 4.928625 4.751726 4.912686 4.900239 4.906207 4.850538 4.175056 4.154332 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 2 4 6 8 10 Min: 5.21 / Avg: 5.22 / Max: 5.23 Min: 5.13 / Avg: 5.15 / Max: 5.16 Min: 4.79 / Avg: 4.81 / Max: 4.82 Min: 5.1 / Avg: 5.12 / Max: 5.15 Min: 5.05 / Avg: 5.06 / Max: 5.06 Min: 4.89 / Avg: 4.9 / Max: 4.9 Min: 5.14 / Avg: 5.14 / Max: 5.15 Min: 4.83 / Avg: 4.83 / Max: 4.83 Min: 4.83 / Avg: 4.84 / Max: 4.85 Min: 4.82 / Avg: 4.83 / Max: 4.83 Min: 4.84 / Avg: 4.85 / Max: 4.87 Min: 4.91 / Avg: 4.93 / Max: 4.95 Min: 4.75 / Avg: 4.75 / Max: 4.75 Min: 4.91 / Avg: 4.91 / Max: 4.92 Min: 4.9 / Avg: 4.9 / Max: 4.91 Min: 4.91 / Avg: 4.91 / Max: 4.91 Min: 4.84 / Avg: 4.85 / Max: 4.86 Min: 4.16 / Avg: 4.18 / Max: 4.2 Min: 4.15 / Avg: 4.15 / Max: 4.16 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 11K 22K 33K 44K 55K SE +/- 152.30, N = 3 SE +/- 234.79, N = 3 SE +/- 29.67, N = 3 SE +/- 271.47, N = 3 SE +/- 144.01, N = 3 SE +/- 510.01, N = 3 SE +/- 246.81, N = 3 SE +/- 512.89, N = 3 SE +/- 579.41, N = 4 SE +/- 305.95, N = 3 SE +/- 138.35, N = 3 SE +/- 228.23, N = 3 SE +/- 123.40, N = 3 SE +/- 114.65, N = 3 SE +/- 544.47, N = 3 SE +/- 338.23, N = 3 SE +/- 711.03, N = 3 SE +/- 501.34, N = 3 SE +/- 367.61, N = 3 SE +/- 63.71, N = 3 42474 41567 45232 42331 42168 43313 40791 43788 43678 43470 43784 43804 44914 43205 42921 43441 43161 51110 51156 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 9K 18K 27K 36K 45K Min: 42203 / Avg: 42473.67 / Max: 42730 Min: 41198 / Avg: 41567 / Max: 42003 Min: 45173 / Avg: 45232.33 / Max: 45262 Min: 41797 / Avg: 42331 / Max: 42683 Min: 41880 / Avg: 42167.67 / Max: 42324 Min: 42679 / Avg: 43313 / Max: 44322 Min: 40320 / Avg: 40791.33 / Max: 41154 Min: 42803 / Avg: 43787.67 / Max: 44529 Min: 42352 / Avg: 43677.5 / Max: 44983 Min: 42923 / Avg: 43470 / Max: 43981 Min: 43585 / Avg: 43784 / Max: 44050 Min: 43491 / Avg: 43803.67 / Max: 44248 Min: 44672 / Avg: 44914.33 / Max: 45076 Min: 42985 / Avg: 43205 / Max: 43371 Min: 42256 / Avg: 42920.67 / Max: 44000 Min: 43033 / Avg: 43440.67 / Max: 44112 Min: 42186 / Avg: 43161 / Max: 44545 Min: 50319 / Avg: 51109.67 / Max: 52039 Min: 50607 / Avg: 51156 / Max: 51854 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 0.0734 0.1468 0.2202 0.2936 0.367 SE +/- 0.002, N = 3 SE +/- 0.003, N = 3 SE +/- 0.002, N = 3 SE +/- 0.004, N = 4 SE +/- 0.002, N = 3 SE +/- 0.003, N = 3 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 SE +/- 0.004, N = 6 SE +/- 0.005, N = 3 SE +/- 0.004, N = 3 SE +/- 0.003, N = 3 SE +/- 0.004, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.004, N = 3 0.320 0.326 0.322 0.284 0.274 0.301 0.296 0.280 0.279 0.278 0.275 0.299 0.274 0.285 0.281 0.278 0.274 0.281 0.282 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 1 2 3 4 5 Min: 0.32 / Avg: 0.32 / Max: 0.32 Min: 0.32 / Avg: 0.33 / Max: 0.33 Min: 0.32 / Avg: 0.32 / Max: 0.33 Min: 0.28 / Avg: 0.28 / Max: 0.3 Min: 0.27 / Avg: 0.27 / Max: 0.28 Min: 0.3 / Avg: 0.3 / Max: 0.31 Min: 0.29 / Avg: 0.3 / Max: 0.3 Min: 0.28 / Avg: 0.28 / Max: 0.28 Min: 0.28 / Avg: 0.28 / Max: 0.28 Min: 0.27 / Avg: 0.28 / Max: 0.29 Min: 0.27 / Avg: 0.27 / Max: 0.28 Min: 0.28 / Avg: 0.3 / Max: 0.31 Min: 0.27 / Avg: 0.27 / Max: 0.28 Min: 0.28 / Avg: 0.29 / Max: 0.29 Min: 0.28 / Avg: 0.28 / Max: 0.29 Min: 0.27 / Avg: 0.28 / Max: 0.28 Min: 0.27 / Avg: 0.27 / Max: 0.28 Min: 0.28 / Avg: 0.28 / Max: 0.28 Min: 0.28 / Avg: 0.28 / 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 800 1600 2400 3200 4000 SE +/- 17.06, N = 3 SE +/- 28.19, N = 3 SE +/- 13.03, N = 3 SE +/- 51.99, N = 4 SE +/- 22.27, N = 3 SE +/- 35.16, N = 3 SE +/- 30.14, N = 3 SE +/- 12.12, N = 3 SE +/- 32.57, N = 3 SE +/- 43.27, N = 3 SE +/- 13.96, N = 3 SE +/- 40.17, N = 6 SE +/- 60.62, N = 3 SE +/- 44.26, N = 3 SE +/- 31.77, N = 3 SE +/- 49.87, N = 3 SE +/- 23.47, N = 3 SE +/- 7.61, N = 3 SE +/- 7.81, N = 3 SE +/- 59.00, N = 3 3126 3073 3103 3520 3653 3323 3379 3566 3581 3599 3642 3345 3652 3509 3558 3600 3650 3564 3544 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 700 1400 2100 2800 3500 Min: 3092.27 / Avg: 3126.06 / Max: 3147.03 Min: 3017.13 / Avg: 3073.27 / Max: 3105.88 Min: 3077.78 / Avg: 3103.27 / Max: 3120.74 Min: 3377.54 / Avg: 3520.45 / Max: 3610.33 Min: 3608.15 / Avg: 3652.68 / Max: 3675.87 Min: 3261.77 / Avg: 3322.6 / Max: 3383.57 Min: 3327.27 / Avg: 3378.61 / Max: 3431.64 Min: 3542.2 / Avg: 3565.68 / Max: 3582.65 Min: 3520.73 / Avg: 3580.83 / Max: 3632.65 Min: 3513.44 / Avg: 3598.6 / Max: 3654.53 Min: 3622.19 / Avg: 3642.31 / Max: 3669.12 Min: 3226 / Avg: 3344.74 / Max: 3521.19 Min: 3562.25 / Avg: 3652.05 / Max: 3767.49 Min: 3461.19 / Avg: 3509.26 / Max: 3597.67 Min: 3499.95 / Avg: 3558.37 / Max: 3609.22 Min: 3548.08 / Avg: 3600.4 / Max: 3700.1 Min: 3603.43 / Avg: 3650.12 / Max: 3677.68 Min: 3550.22 / Avg: 3563.8 / Max: 3576.56 Min: 3530.38 / Avg: 3543.86 / Max: 3557.44 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 4 8 12 16 20 SE +/- 0.06, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 15.54 15.50 14.84 15.35 15.28 15.17 15.96 15.13 15.25 15.25 15.20 15.66 15.04 15.67 15.73 15.66 15.60 12.77 12.85 13.65
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GIMP 2.10.18 Test: rotate EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 4 8 12 16 20 Min: 15.43 / Avg: 15.54 / Max: 15.63 Min: 15.39 / Avg: 15.5 / Max: 15.57 Min: 14.8 / Avg: 14.83 / Max: 14.87 Min: 15.31 / Avg: 15.35 / Max: 15.42 Min: 15.24 / Avg: 15.28 / Max: 15.31 Min: 15.05 / Avg: 15.17 / Max: 15.24 Min: 15.86 / Avg: 15.96 / Max: 16.04 Min: 15.12 / Avg: 15.12 / Max: 15.13 Min: 15.23 / Avg: 15.25 / Max: 15.28 Min: 15.16 / Avg: 15.25 / Max: 15.37 Min: 15.16 / Avg: 15.2 / Max: 15.28 Min: 15.63 / Avg: 15.66 / Max: 15.69 Min: 15.02 / Avg: 15.04 / Max: 15.06 Min: 15.61 / Avg: 15.67 / Max: 15.75 Min: 15.66 / Avg: 15.72 / Max: 15.76 Min: 15.6 / Avg: 15.66 / Max: 15.74 Min: 15.54 / Avg: 15.6 / Max: 15.67 Min: 12.73 / Avg: 12.77 / Max: 12.79 Min: 12.82 / Avg: 12.85 / Max: 12.88 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 700 1400 2100 2800 3500 SE +/- 36.25, N = 3 SE +/- 13.05, N = 3 SE +/- 23.86, N = 3 SE +/- 16.59, N = 3 SE +/- 19.16, N = 3 SE +/- 31.89, N = 3 SE +/- 12.96, N = 3 SE +/- 15.96, N = 3 SE +/- 13.16, N = 3 SE +/- 17.32, N = 3 SE +/- 9.34, N = 3 SE +/- 37.57, N = 3 SE +/- 28.38, N = 3 SE +/- 26.42, N = 3 SE +/- 27.23, N = 3 SE +/- 17.22, N = 3 SE +/- 18.01, N = 3 SE +/- 3.64, N = 3 SE +/- 1.38, N = 3 SE +/- 28.94, N = 3 2568 2482 2498 2757 2745 2680 2717 2914 2850 2877 2835 2673 2935 2872 2859 2845 2877 2891 2852 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 500 1000 1500 2000 2500 Min: 2506.37 / Avg: 2568.17 / Max: 2631.9 Min: 2458.31 / Avg: 2481.71 / Max: 2503.41 Min: 2451.18 / Avg: 2497.82 / Max: 2529.91 Min: 2724.8 / Avg: 2756.58 / Max: 2780.72 Min: 2714.71 / Avg: 2744.76 / Max: 2780.38 Min: 2630.77 / Avg: 2680.14 / Max: 2739.79 Min: 2695.19 / Avg: 2717.14 / Max: 2740.04 Min: 2881.99 / Avg: 2913.86 / Max: 2931.47 Min: 2823.33 / Avg: 2849.63 / Max: 2863.69 Min: 2844.57 / Avg: 2877.05 / Max: 2903.7 Min: 2817.49 / Avg: 2835.09 / Max: 2849.31 Min: 2611.35 / Avg: 2672.99 / Max: 2741.03 Min: 2901.28 / Avg: 2935.34 / Max: 2991.69 Min: 2824.25 / Avg: 2872.16 / Max: 2915.42 Min: 2806.49 / Avg: 2859.08 / Max: 2897.62 Min: 2825.52 / Avg: 2845.46 / Max: 2879.74 Min: 2840.72 / Avg: 2876.63 / Max: 2897.01 Min: 2883.86 / Avg: 2891.13 / Max: 2895.01 Min: 2849.66 / Avg: 2851.95 / Max: 2854.42 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 8 16 24 32 40 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.00, N = 3 33.4 33.4 31.3 33.3 33.3 32.3 34.2 31.7 31.7 31.8 31.8 32.4 31.3 32.2 32.4 32.4 32.0 27.4 27.4 28.9
Result Confidence
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: json_loads EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 7 14 21 28 35 Min: 33.3 / Avg: 33.37 / Max: 33.4 Min: 33.4 / Avg: 33.43 / Max: 33.5 Min: 31.3 / Avg: 31.33 / Max: 31.4 Min: 33.3 / Avg: 33.33 / Max: 33.4 Min: 33.2 / Avg: 33.27 / Max: 33.3 Min: 32.3 / Avg: 32.33 / Max: 32.4 Min: 34.2 / Avg: 34.23 / Max: 34.3 Min: 31.7 / Avg: 31.73 / Max: 31.8 Min: 31.7 / Avg: 31.7 / Max: 31.7 Min: 31.8 / Avg: 31.8 / Max: 31.8 Min: 31.7 / Avg: 31.77 / Max: 31.8 Min: 32.3 / Avg: 32.37 / Max: 32.4 Min: 31.3 / Avg: 31.33 / Max: 31.4 Min: 32.2 / Avg: 32.2 / Max: 32.2 Min: 32.4 / Avg: 32.43 / Max: 32.5 Min: 32.4 / Avg: 32.4 / Max: 32.4 Min: 31.9 / Avg: 32 / Max: 32.1 Min: 27.3 / Avg: 27.37 / Max: 27.4 Min: 27.3 / Avg: 27.4 / Max: 27.5 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 0.884 1.768 2.652 3.536 4.42 SE +/- 0.052, N = 4 SE +/- 0.062, N = 3 SE +/- 0.049, N = 4 SE +/- 0.063, N = 3 SE +/- 0.053, N = 4 SE +/- 0.050, N = 4 SE +/- 0.067, N = 3 SE +/- 0.052, N = 4 SE +/- 0.058, N = 3 SE +/- 0.053, N = 4 SE +/- 0.053, N = 4 SE +/- 0.063, N = 3 SE +/- 0.049, N = 4 SE +/- 0.059, N = 3 SE +/- 0.050, N = 5 SE +/- 0.051, N = 4 SE +/- 0.063, N = 3 SE +/- 0.040, N = 5 SE +/- 0.039, N = 5 SE +/- 0.040, N = 5 3.836 3.866 3.636 3.862 3.836 3.710 3.929 3.664 3.702 3.662 3.677 3.755 3.628 3.745 3.722 3.724 3.708 3.160 3.149 3.319
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better System GZIP Decompression EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 2 4 6 8 10 Min: 3.77 / Avg: 3.84 / Max: 3.99 Min: 3.8 / Avg: 3.87 / Max: 3.99 Min: 3.58 / Avg: 3.64 / Max: 3.78 Min: 3.79 / Avg: 3.86 / Max: 3.99 Min: 3.77 / Avg: 3.84 / Max: 3.99 Min: 3.66 / Avg: 3.71 / Max: 3.86 Min: 3.85 / Avg: 3.93 / Max: 4.06 Min: 3.6 / Avg: 3.66 / Max: 3.82 Min: 3.61 / Avg: 3.7 / Max: 3.81 Min: 3.6 / Avg: 3.66 / Max: 3.82 Min: 3.61 / Avg: 3.68 / Max: 3.83 Min: 3.68 / Avg: 3.75 / Max: 3.88 Min: 3.57 / Avg: 3.63 / Max: 3.78 Min: 3.68 / Avg: 3.75 / Max: 3.86 Min: 3.66 / Avg: 3.72 / Max: 3.92 Min: 3.66 / Avg: 3.72 / Max: 3.88 Min: 3.64 / Avg: 3.71 / Max: 3.84 Min: 3.1 / Avg: 3.16 / Max: 3.32 Min: 3.1 / Avg: 3.15 / Max: 3.31 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 0.0907 0.1814 0.2721 0.3628 0.4535 SE +/- 0.005, N = 3 SE +/- 0.002, N = 3 SE +/- 0.004, N = 3 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 SE +/- 0.004, N = 3 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.005, N = 3 SE +/- 0.003, N = 3 SE +/- 0.003, N = 3 SE +/- 0.003, N = 3 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.003, N = 3 0.390 0.403 0.400 0.363 0.364 0.373 0.368 0.343 0.351 0.348 0.353 0.374 0.341 0.348 0.350 0.351 0.348 0.346 0.351 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 1 2 3 4 5 Min: 0.38 / Avg: 0.39 / Max: 0.4 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: 0.36 / Avg: 0.36 / Max: 0.37 Min: 0.37 / Avg: 0.37 / Max: 0.38 Min: 0.37 / Avg: 0.37 / Max: 0.37 Min: 0.34 / Avg: 0.34 / Max: 0.35 Min: 0.35 / Avg: 0.35 / Max: 0.35 Min: 0.34 / Avg: 0.35 / Max: 0.35 Min: 0.35 / Avg: 0.35 / Max: 0.36 Min: 0.37 / Avg: 0.37 / Max: 0.38 Min: 0.33 / Avg: 0.34 / Max: 0.35 Min: 0.34 / Avg: 0.35 / Max: 0.35 Min: 0.35 / Avg: 0.35 / Max: 0.36 Min: 0.35 / Avg: 0.35 / Max: 0.35 Min: 0.35 / 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: 0.32 / 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 3K 6K 9K 12K 15K SE +/- 44.12, N = 3 SE +/- 101.77, N = 3 SE +/- 45.96, N = 3 SE +/- 11.14, N = 3 SE +/- 57.25, N = 3 SE +/- 24.18, N = 3 SE +/- 26.03, N = 3 SE +/- 16.44, N = 3 SE +/- 17.82, N = 3 SE +/- 19.40, N = 3 SE +/- 20.22, N = 3 SE +/- 16.29, N = 3 SE +/- 99.28, N = 3 SE +/- 61.76, N = 3 SE +/- 14.15, N = 3 SE +/- 12.03, N = 3 SE +/- 101.29, N = 11 SE +/- 23.39, N = 3 SE +/- 91.46, N = 3 SE +/- 12.57, N = 3 11070 10973 11856 11081 11146 11486 10901 11650 11589 11652 11708 11459 11671 11488 11476 11511 11479 13536 13599 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 2K 4K 6K 8K 10K Min: 11001 / Avg: 11069.67 / Max: 11152 Min: 10770 / Avg: 10973.33 / Max: 11083 Min: 11771 / Avg: 11855.67 / Max: 11929 Min: 11059 / Avg: 11081 / Max: 11095 Min: 11050 / Avg: 11145.67 / Max: 11248 Min: 11452 / Avg: 11486.33 / Max: 11533 Min: 10858 / Avg: 10901.33 / Max: 10948 Min: 11625 / Avg: 11650 / Max: 11681 Min: 11567 / Avg: 11588.67 / Max: 11624 Min: 11623 / Avg: 11652.33 / Max: 11689 Min: 11668 / Avg: 11708.33 / Max: 11731 Min: 11427 / Avg: 11459.33 / Max: 11479 Min: 11474 / Avg: 11671 / Max: 11791 Min: 11390 / Avg: 11487.67 / Max: 11602 Min: 11452 / Avg: 11476.33 / Max: 11501 Min: 11493 / Avg: 11511.33 / Max: 11534 Min: 10588 / Avg: 11479.45 / Max: 11738 Min: 13491 / Avg: 13536.33 / Max: 13569 Min: 13417 / Avg: 13598.67 / Max: 13708 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 400 800 1200 1600 2000 SE +/- 4.09, N = 5 SE +/- 9.93, N = 5 SE +/- 7.90, N = 5 SE +/- 7.81, N = 5 SE +/- 7.02, N = 5 SE +/- 2.12, N = 5 SE +/- 4.60, N = 5 SE +/- 5.82, N = 5 SE +/- 9.80, N = 5 SE +/- 8.18, N = 5 SE +/- 8.93, N = 5 SE +/- 11.71, N = 5 SE +/- 6.83, N = 5 SE +/- 6.15, N = 5 SE +/- 6.49, N = 5 SE +/- 10.78, N = 5 SE +/- 7.96, N = 5 SE +/- 5.86, N = 5 SE +/- 3.83, N = 5 SE +/- 4.09, N = 5 1963.09 1888.05 1778.59 1858.15 1840.49 1802.11 1887.64 1780.00 1785.43 1796.32 1786.25 1843.43 1762.01 1827.54 1838.71 1837.63 1821.92 1575.17 1598.01 1643.61
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better Renaissance 0.10.0 Test: Scala Dotty EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 300 600 900 1200 1500 Min: 1949.67 / Avg: 1963.09 / Max: 1972.52 Min: 1872.26 / Avg: 1888.05 / Max: 1924.57 Min: 1763.98 / Avg: 1778.58 / Max: 1801.84 Min: 1843.06 / Avg: 1858.15 / Max: 1881.85 Min: 1821.78 / Avg: 1840.49 / Max: 1861.9 Min: 1794.77 / Avg: 1802.11 / Max: 1807.79 Min: 1875.72 / Avg: 1887.64 / Max: 1899.29 Min: 1771.68 / Avg: 1780 / Max: 1802.96 Min: 1761.02 / Avg: 1785.43 / Max: 1812.16 Min: 1777.39 / Avg: 1796.32 / Max: 1818.83 Min: 1767.26 / Avg: 1786.25 / Max: 1808.33 Min: 1814.21 / Avg: 1843.43 / Max: 1871.61 Min: 1750.8 / Avg: 1762.01 / Max: 1788.05 Min: 1810.41 / Avg: 1827.54 / Max: 1846.46 Min: 1823.01 / Avg: 1838.71 / Max: 1861.54 Min: 1806.07 / Avg: 1837.63 / Max: 1863.6 Min: 1806.27 / Avg: 1821.92 / Max: 1850.88 Min: 1556.35 / Avg: 1575.17 / Max: 1589.78 Min: 1590.06 / Avg: 1598.01 / Max: 1608.27 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 20 40 60 80 100 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 SE +/- 0.10, N = 3 SE +/- 0.03, N = 3 SE +/- 0.14, N = 3 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 SE +/- 0.12, N = 3 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 SE +/- 0.14, N = 3 SE +/- 0.03, N = 3 SE +/- 0.18, N = 3 SE +/- 0.08, N = 3 72.00 71.91 68.38 72.33 72.09 70.56 74.53 69.97 70.43 70.40 70.14 72.29 69.10 71.43 72.04 71.37 70.56 59.91 60.83 64.06
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Wavelet Blur EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 14 28 42 56 70 Min: 71.94 / Avg: 72 / Max: 72.06 Min: 71.85 / Avg: 71.91 / Max: 72.03 Min: 68.36 / Avg: 68.38 / Max: 68.4 Min: 72.24 / Avg: 72.33 / Max: 72.4 Min: 72.06 / Avg: 72.09 / Max: 72.16 Min: 70.47 / Avg: 70.56 / Max: 70.62 Min: 74.42 / Avg: 74.53 / Max: 74.6 Min: 69.89 / Avg: 69.97 / Max: 70.06 Min: 70.28 / Avg: 70.43 / Max: 70.62 Min: 70.36 / Avg: 70.4 / Max: 70.47 Min: 69.89 / Avg: 70.14 / Max: 70.38 Min: 72.21 / Avg: 72.29 / Max: 72.38 Min: 68.96 / Avg: 69.1 / Max: 69.25 Min: 71.31 / Avg: 71.43 / Max: 71.67 Min: 71.98 / Avg: 72.04 / Max: 72.07 Min: 71.2 / Avg: 71.37 / Max: 71.46 Min: 70.31 / Avg: 70.56 / Max: 70.8 Min: 59.85 / Avg: 59.91 / Max: 59.97 Min: 60.48 / Avg: 60.83 / Max: 61.01 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7F32 EPYC 7F52 EPYC 7F72 2 4 6 8 10 SE +/- 0.016, N = 3 SE +/- 0.032, N = 3 SE +/- 0.011, N = 3 SE +/- 0.014, N = 3 SE +/- 0.009, N = 3 SE +/- 0.008, N = 3 SE +/- 0.024, N = 3 SE +/- 0.020, N = 3 SE +/- 0.023, N = 3 SE +/- 0.017, N = 3 SE +/- 0.017, N = 3 SE +/- 0.017, N = 3 SE +/- 0.014, N = 3 SE +/- 0.011, N = 3 SE +/- 0.004, N = 3 SE +/- 0.020, N = 3 6.233 6.258 5.924 5.905 5.840 5.715 6.169 5.826 5.846 5.803 5.820 5.940 5.722 5.231 5.031 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7F32 EPYC 7F52 EPYC 7F72 3 6 9 12 15 Min: 6.21 / Avg: 6.23 / Max: 6.26 Min: 6.2 / Avg: 6.26 / Max: 6.31 Min: 5.91 / Avg: 5.92 / Max: 5.95 Min: 5.89 / Avg: 5.91 / Max: 5.93 Min: 5.83 / Avg: 5.84 / Max: 5.86 Min: 5.7 / Avg: 5.72 / Max: 5.73 Min: 6.13 / Avg: 6.17 / Max: 6.21 Min: 5.79 / Avg: 5.83 / Max: 5.85 Min: 5.81 / Avg: 5.85 / Max: 5.89 Min: 5.78 / Avg: 5.8 / Max: 5.84 Min: 5.8 / Avg: 5.82 / Max: 5.85 Min: 5.91 / Avg: 5.94 / Max: 5.97 Min: 5.7 / Avg: 5.72 / Max: 5.75 Min: 5.21 / Avg: 5.23 / Max: 5.25 Min: 5.03 / Avg: 5.03 / Max: 5.04 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 5 10 15 20 25 SE +/- 0.12, N = 3 SE +/- 0.11, N = 3 SE +/- 0.15, N = 3 SE +/- 0.21, N = 3 SE +/- 0.13, N = 3 SE +/- 0.11, N = 3 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 SE +/- 0.13, N = 3 SE +/- 0.13, N = 3 SE +/- 0.02, N = 3 SE +/- 0.12, N = 3 SE +/- 0.03, N = 3 SE +/- 0.14, N = 3 SE +/- 0.13, N = 3 SE +/- 0.15, N = 3 SE +/- 0.02, N = 3 SE +/- 0.13, N = 3 SE +/- 0.11, N = 3 SE +/- 0.00, N = 3 22.37 22.17 20.64 21.90 21.72 21.22 21.81 20.91 20.82 20.78 20.93 21.08 20.60 21.05 21.02 21.14 21.01 18.12 18.00 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 5 10 15 20 25 Min: 22.22 / Avg: 22.37 / Max: 22.61 Min: 21.96 / Avg: 22.17 / Max: 22.31 Min: 20.34 / Avg: 20.64 / Max: 20.82 Min: 21.53 / Avg: 21.9 / Max: 22.27 Min: 21.57 / Avg: 21.72 / Max: 21.97 Min: 20.99 / Avg: 21.22 / Max: 21.35 Min: 21.8 / Avg: 21.81 / Max: 21.84 Min: 20.78 / Avg: 20.91 / Max: 21 Min: 20.55 / Avg: 20.82 / Max: 20.97 Min: 20.52 / Avg: 20.78 / Max: 20.95 Min: 20.89 / Avg: 20.92 / Max: 20.96 Min: 20.84 / Avg: 21.08 / Max: 21.24 Min: 20.54 / Avg: 20.6 / Max: 20.64 Min: 20.78 / Avg: 21.05 / Max: 21.2 Min: 20.88 / Avg: 21.02 / Max: 21.28 Min: 20.84 / Avg: 21.14 / Max: 21.35 Min: 20.99 / Avg: 21.01 / Max: 21.04 Min: 17.87 / Avg: 18.12 / Max: 18.32 Min: 17.78 / Avg: 18 / Max: 18.13 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 130 260 390 520 650 SE +/- 0.58, N = 3 SE +/- 0.33, N = 3 SE +/- 1.00, N = 3 SE +/- 1.86, N = 3 SE +/- 1.45, N = 3 SE +/- 1.20, N = 3 SE +/- 0.58, N = 3 SE +/- 1.86, N = 3 SE +/- 0.58, N = 3 SE +/- 1.33, N = 3 SE +/- 1.20, N = 3 SE +/- 0.88, N = 3 SE +/- 2.31, N = 3 SE +/- 1.20, N = 3 SE +/- 1.76, N = 3 SE +/- 0.33, N = 3 SE +/- 0.88, N = 3 576 577 541 575 575 559 585 551 552 552 550 561 544 558 571 561 554 471 474 500
Result Confidence
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: raytrace EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 100 200 300 400 500 Min: 575 / Avg: 576 / Max: 577 Min: 576 / Avg: 576.67 / Max: 577 Min: 540 / Avg: 541 / Max: 543 Min: 571 / Avg: 574.67 / Max: 577 Min: 573 / Avg: 575.33 / Max: 578 Min: 557 / Avg: 558.67 / Max: 561 Min: 584 / Avg: 585 / Max: 586 Min: 549 / Avg: 551.33 / Max: 555 Min: 551 / Avg: 552 / Max: 553 Min: 551 / Avg: 552.33 / Max: 555 Min: 548 / Avg: 550.33 / Max: 552 Min: 560 / Avg: 561.33 / Max: 563 Min: 540 / Avg: 544 / Max: 548 Min: 569 / Avg: 570.67 / Max: 573 Min: 551 / Avg: 554.33 / Max: 557 Min: 471 / Avg: 471.33 / Max: 472 Min: 473 / Avg: 474.33 / Max: 476
Result
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: pathlib EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 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 +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 21.6 21.5 20.2 21.3 21.2 20.5 21.6 20.0 20.2 20.3 20.1 20.5 20.0 20.3 20.5 20.5 20.5 17.5 17.4 18.9
Result Confidence
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: pathlib EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 5 10 15 20 25 Min: 21.5 / Avg: 21.57 / Max: 21.6 Min: 21.5 / Avg: 21.53 / Max: 21.6 Min: 20.1 / Avg: 20.17 / Max: 20.2 Min: 21.2 / Avg: 21.27 / Max: 21.3 Min: 21.2 / Avg: 21.2 / Max: 21.2 Min: 20.5 / Avg: 20.5 / Max: 20.5 Min: 21.6 / Avg: 21.6 / Max: 21.6 Min: 20.2 / Avg: 20.2 / Max: 20.2 Min: 20.3 / Avg: 20.33 / Max: 20.4 Min: 20.1 / Avg: 20.1 / Max: 20.1 Min: 20.5 / Avg: 20.53 / Max: 20.6 Min: 20.3 / Avg: 20.3 / Max: 20.3 Min: 20.5 / Avg: 20.5 / Max: 20.5 Min: 20.5 / Avg: 20.53 / Max: 20.6 Min: 20.4 / Avg: 20.47 / Max: 20.5 Min: 17.5 / Avg: 17.5 / Max: 17.5 Min: 17.3 / Avg: 17.37 / Max: 17.4 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 3 6 9 12 15 SE +/- 0.001, N = 3 SE +/- 0.026, N = 3 SE +/- 0.037, N = 3 SE +/- 0.014, N = 3 SE +/- 0.007, N = 3 SE +/- 0.009, N = 3 SE +/- 0.022, N = 3 SE +/- 0.005, N = 3 SE +/- 0.007, N = 3 SE +/- 0.004, N = 3 SE +/- 0.002, N = 3 SE +/- 0.012, N = 3 SE +/- 0.003, N = 3 SE +/- 0.007, N = 3 SE +/- 0.005, N = 3 SE +/- 0.019, N = 3 SE +/- 0.005, N = 3 SE +/- 0.008, N = 3 SE +/- 0.006, N = 3 SE +/- 0.002, N = 3 9.878 10.003 9.449 9.964 9.885 9.578 10.102 9.436 9.441 9.435 9.435 9.633 9.295 9.589 9.591 9.591 9.477 8.174 8.138 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 3 6 9 12 15 Min: 9.88 / Avg: 9.88 / Max: 9.88 Min: 9.97 / Avg: 10 / Max: 10.06 Min: 9.4 / Avg: 9.45 / Max: 9.52 Min: 9.95 / Avg: 9.96 / Max: 9.99 Min: 9.88 / Avg: 9.88 / Max: 9.9 Min: 9.56 / Avg: 9.58 / Max: 9.59 Min: 10.06 / Avg: 10.1 / Max: 10.13 Min: 9.43 / Avg: 9.44 / Max: 9.45 Min: 9.43 / Avg: 9.44 / Max: 9.45 Min: 9.43 / Avg: 9.44 / Max: 9.44 Min: 9.43 / Avg: 9.43 / Max: 9.44 Min: 9.61 / Avg: 9.63 / Max: 9.65 Min: 9.29 / Avg: 9.3 / Max: 9.3 Min: 9.57 / Avg: 9.59 / Max: 9.6 Min: 9.58 / Avg: 9.59 / Max: 9.6 Min: 9.57 / Avg: 9.59 / Max: 9.63 Min: 9.47 / Avg: 9.48 / Max: 9.48 Min: 8.16 / Avg: 8.17 / Max: 8.19 Min: 8.13 / Avg: 8.14 / Max: 8.15 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 0.2947 0.5894 0.8841 1.1788 1.4735 SE +/- 0.001278, N = 3 SE +/- 0.003378, N = 3 SE +/- 0.004902, N = 3 SE +/- 0.003246, N = 3 SE +/- 0.003026, N = 3 SE +/- 0.001157, N = 3 SE +/- 0.000758, N = 3 SE +/- 0.000237, N = 3 SE +/- 0.000499, N = 3 SE +/- 0.000599, N = 3 SE +/- 0.000831, N = 3 SE +/- 0.003502, N = 3 SE +/- 0.000067, N = 3 SE +/- 0.003407, N = 3 SE +/- 0.000236, N = 3 SE +/- 0.001818, N = 3 SE +/- 0.001369, N = 3 SE +/- 0.002177, N = 3 SE +/- 0.000910, N = 3 SE +/- 0.002331, N = 3 1.304260 1.309975 1.217988 1.292170 1.284880 1.244002 1.305372 1.228600 1.226732 1.227227 1.242573 1.251942 1.207137 1.248408 1.244588 1.249168 1.231897 1.059790 1.055572 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 2 4 6 8 10 Min: 1.3 / Avg: 1.3 / Max: 1.31 Min: 1.3 / Avg: 1.31 / Max: 1.32 Min: 1.21 / Avg: 1.22 / Max: 1.22 Min: 1.29 / Avg: 1.29 / Max: 1.3 Min: 1.28 / Avg: 1.28 / Max: 1.29 Min: 1.24 / Avg: 1.24 / Max: 1.25 Min: 1.3 / Avg: 1.31 / Max: 1.31 Min: 1.23 / Avg: 1.23 / Max: 1.23 Min: 1.23 / Avg: 1.23 / Max: 1.23 Min: 1.23 / Avg: 1.23 / Max: 1.23 Min: 1.24 / Avg: 1.24 / Max: 1.24 Min: 1.25 / Avg: 1.25 / Max: 1.26 Min: 1.21 / Avg: 1.21 / Max: 1.21 Min: 1.24 / Avg: 1.25 / Max: 1.26 Min: 1.24 / Avg: 1.24 / Max: 1.25 Min: 1.25 / Avg: 1.25 / Max: 1.25 Min: 1.23 / Avg: 1.23 / Max: 1.23 Min: 1.06 / Avg: 1.06 / Max: 1.06 Min: 1.05 / Avg: 1.06 / Max: 1.06 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 2K 4K 6K 8K 10K SE +/- 12.66, N = 3 SE +/- 14.33, N = 3 SE +/- 16.82, N = 3 SE +/- 19.95, N = 3 SE +/- 17.03, N = 3 SE +/- 45.24, N = 3 SE +/- 10.11, N = 3 SE +/- 16.43, N = 3 SE +/- 8.47, N = 3 SE +/- 5.42, N = 3 SE +/- 2.98, N = 3 SE +/- 6.46, N = 3 SE +/- 8.69, N = 3 SE +/- 4.22, N = 3 SE +/- 10.39, N = 3 SE +/- 3.40, N = 3 SE +/- 42.92, N = 3 SE +/- 8.20, N = 3 SE +/- 14.12, N = 3 SE +/- 3.40, N = 3 6485.8 6408.3 6868.2 6434.6 6480.9 6648.8 6365.7 6787.6 6773.0 6785.7 6787.9 6689.9 6880.4 6686.3 6680.9 6679.4 6674.8 7878.3 7899.6 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 1400 2800 4200 5600 7000 Min: 6460.7 / Avg: 6485.83 / Max: 6501.1 Min: 6384 / Avg: 6408.33 / Max: 6433.6 Min: 6847.8 / Avg: 6868.23 / Max: 6901.6 Min: 6412.7 / Avg: 6434.57 / Max: 6474.4 Min: 6450.1 / Avg: 6480.9 / Max: 6508.9 Min: 6558.4 / Avg: 6648.77 / Max: 6697.7 Min: 6350.8 / Avg: 6365.73 / Max: 6385 Min: 6754.8 / Avg: 6787.57 / Max: 6806 Min: 6757.4 / Avg: 6773.03 / Max: 6786.5 Min: 6778.9 / Avg: 6785.7 / Max: 6796.4 Min: 6782.5 / Avg: 6787.9 / Max: 6792.8 Min: 6677.1 / Avg: 6689.87 / Max: 6698 Min: 6871 / Avg: 6880.43 / Max: 6897.8 Min: 6678.5 / Avg: 6686.27 / Max: 6693 Min: 6660.1 / Avg: 6680.87 / Max: 6692 Min: 6672.8 / Avg: 6679.4 / Max: 6684.1 Min: 6625.4 / Avg: 6674.8 / Max: 6760.3 Min: 7861.9 / Avg: 7878.3 / Max: 7886.5 Min: 7873.7 / Avg: 7899.6 / Max: 7922.3 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 1100 2200 3300 4400 5500 SE +/- 0.40, N = 3 SE +/- 5.64, N = 3 SE +/- 2.02, N = 3 SE +/- 5.52, N = 3 SE +/- 0.46, N = 3 SE +/- 0.37, N = 3 SE +/- 4.52, N = 3 SE +/- 0.72, N = 3 SE +/- 0.49, N = 3 SE +/- 2.04, N = 3 SE +/- 0.43, N = 3 SE +/- 0.73, N = 3 SE +/- 0.70, N = 3 SE +/- 7.30, N = 3 SE +/- 0.50, N = 3 SE +/- 1.01, N = 3 SE +/- 3.59, N = 3 SE +/- 11.63, N = 3 SE +/- 0.17, N = 3 SE +/- 0.45, N = 3 4273.08 4230.65 4535.60 4247.54 4272.70 4406.41 4195.41 4472.73 4472.15 4470.35 4472.13 4405.46 4538.40 4397.19 4405.75 4403.81 4458.22 5165.05 5205.65 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 900 1800 2700 3600 4500 Min: 4272.36 / Avg: 4273.08 / Max: 4273.74 Min: 4224.18 / Avg: 4230.65 / Max: 4241.89 Min: 4531.58 / Avg: 4535.6 / Max: 4537.98 Min: 4237.16 / Avg: 4247.54 / Max: 4256 Min: 4271.85 / Avg: 4272.7 / Max: 4273.41 Min: 4405.81 / Avg: 4406.41 / Max: 4407.1 Min: 4186.38 / Avg: 4195.41 / Max: 4200.32 Min: 4471.91 / Avg: 4472.73 / Max: 4474.16 Min: 4471.19 / Avg: 4472.15 / Max: 4472.78 Min: 4466.28 / Avg: 4470.35 / Max: 4472.69 Min: 4471.27 / Avg: 4472.13 / Max: 4472.64 Min: 4404.07 / Avg: 4405.46 / Max: 4406.52 Min: 4537.09 / Avg: 4538.4 / Max: 4539.48 Min: 4382.74 / Avg: 4397.19 / Max: 4406.2 Min: 4404.93 / Avg: 4405.75 / Max: 4406.67 Min: 4401.81 / Avg: 4403.81 / Max: 4405.07 Min: 4454.33 / Avg: 4458.22 / Max: 4465.38 Min: 5141.81 / Avg: 5165.05 / Max: 5177.6 Min: 5205.31 / Avg: 5205.65 / Max: 5205.87 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 0.6466 1.2932 1.9398 2.5864 3.233 SE +/- 0.002642, N = 3 SE +/- 0.009831, N = 3 SE +/- 0.000749, N = 3 SE +/- 0.005844, N = 3 SE +/- 0.003750, N = 3 SE +/- 0.003016, N = 3 SE +/- 0.002457, N = 3 SE +/- 0.002052, N = 3 SE +/- 0.003514, N = 3 SE +/- 0.000407, N = 3 SE +/- 0.001364, N = 3 SE +/- 0.001823, N = 3 SE +/- 0.000667, N = 3 SE +/- 0.006182, N = 3 SE +/- 0.001561, N = 3 SE +/- 0.002314, N = 3 SE +/- 0.001274, N = 3 SE +/- 0.006708, N = 3 SE +/- 0.001325, N = 3 SE +/- 0.004888, N = 3 2.839029 2.873772 2.690606 2.837977 2.834173 2.735240 2.868562 2.696305 2.696217 2.693092 2.709800 2.768810 2.655180 2.740470 2.732245 2.740498 2.715117 2.331713 2.316262 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 2 4 6 8 10 Min: 2.83 / Avg: 2.84 / Max: 2.84 Min: 2.86 / Avg: 2.87 / Max: 2.89 Min: 2.69 / Avg: 2.69 / Max: 2.69 Min: 2.83 / Avg: 2.84 / Max: 2.85 Min: 2.83 / Avg: 2.83 / Max: 2.84 Min: 2.73 / Avg: 2.74 / Max: 2.74 Min: 2.86 / Avg: 2.87 / Max: 2.87 Min: 2.69 / Avg: 2.7 / Max: 2.7 Min: 2.69 / Avg: 2.7 / Max: 2.7 Min: 2.69 / Avg: 2.69 / Max: 2.69 Min: 2.71 / Avg: 2.71 / Max: 2.71 Min: 2.77 / Avg: 2.77 / Max: 2.77 Min: 2.65 / Avg: 2.66 / Max: 2.66 Min: 2.73 / Avg: 2.74 / Max: 2.75 Min: 2.73 / Avg: 2.73 / Max: 2.73 Min: 2.74 / Avg: 2.74 / Max: 2.74 Min: 2.71 / Avg: 2.72 / Max: 2.72 Min: 2.32 / Avg: 2.33 / Max: 2.34 Min: 2.31 / Avg: 2.32 / Max: 2.32 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 90 180 270 360 450 SE +/- 0.03, N = 3 SE +/- 0.24, N = 3 SE +/- 0.10, N = 3 SE +/- 0.27, N = 3 SE +/- 0.02, N = 3 SE +/- 0.08, N = 3 SE +/- 0.34, N = 3 SE +/- 0.28, N = 3 SE +/- 0.11, N = 3 SE +/- 0.13, N = 3 SE +/- 0.06, N = 3 SE +/- 4.59, N = 4 SE +/- 0.29, N = 3 SE +/- 0.24, N = 3 SE +/- 0.09, N = 3 SE +/- 0.11, N = 3 SE +/- 0.52, N = 3 SE +/- 0.85, N = 3 SE +/- 0.17, N = 3 SE +/- 0.08, N = 3 348.20 344.85 369.89 345.62 348.10 359.12 341.93 364.33 364.53 364.82 364.47 354.73 370.17 358.90 359.14 359.12 362.64 420.08 424.12 402.57 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 80 160 240 320 400 Min: 348.13 / Avg: 348.2 / Max: 348.25 Min: 344.39 / Avg: 344.85 / Max: 345.2 Min: 369.74 / Avg: 369.89 / Max: 370.08 Min: 345.16 / Avg: 345.62 / Max: 346.1 Min: 348.07 / Avg: 348.1 / Max: 348.12 Min: 358.96 / Avg: 359.12 / Max: 359.25 Min: 341.43 / Avg: 341.93 / Max: 342.57 Min: 363.76 / Avg: 364.33 / Max: 364.62 Min: 364.38 / Avg: 364.53 / Max: 364.74 Min: 364.58 / Avg: 364.82 / Max: 365.03 Min: 364.4 / Avg: 364.47 / Max: 364.59 Min: 340.96 / Avg: 354.73 / Max: 359.49 Min: 369.59 / Avg: 370.17 / Max: 370.5 Min: 358.44 / Avg: 358.9 / Max: 359.26 Min: 359.02 / Avg: 359.14 / Max: 359.3 Min: 358.94 / Avg: 359.12 / Max: 359.32 Min: 361.93 / Avg: 362.64 / Max: 363.65 Min: 419.22 / Avg: 420.08 / Max: 421.77 Min: 423.79 / Avg: 424.12 / Max: 424.37 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 5 10 15 20 25 20.21 20.25 18.95 20.20 20.15 19.55 20.50 19.27 19.28 19.26 19.28 19.57 19.00 19.53 19.52 19.62 19.34 16.58 16.53 17.48
OpenBenchmarking.org Seconds, Fewer Is Better Polyhedron Fortran Benchmarks Benchmark: protein EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 4 8 12 16 20 16.63 16.83 15.67 16.76 16.66 16.13 16.94 15.89 15.88 15.90 15.89 16.15 15.67 16.15 16.15 16.15 15.97 13.78 13.66 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 2K 4K 6K 8K 10K SE +/- 18.98, N = 3 SE +/- 64.79, N = 13 SE +/- 24.57, N = 3 SE +/- 18.94, N = 3 SE +/- 13.57, N = 3 SE +/- 26.00, N = 3 SE +/- 35.37, N = 3 SE +/- 15.10, N = 3 SE +/- 11.00, N = 3 SE +/- 34.91, N = 3 SE +/- 17.27, N = 3 SE +/- 26.37, N = 3 SE +/- 9.46, N = 3 SE +/- 25.12, N = 3 SE +/- 11.62, N = 3 SE +/- 25.41, N = 3 SE +/- 120.96, N = 12 SE +/- 17.77, N = 3 SE +/- 14.56, N = 3 SE +/- 6.72, N = 3 7745.0 7654.3 8220.9 7723.8 7730.8 7995.0 7612.7 8109.5 8120.4 8134.5 8099.7 8026.0 8216.8 8006.0 7949.4 8020.3 7964.4 9421.5 9439.3 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 1600 3200 4800 6400 8000 Min: 7711.3 / Avg: 7744.97 / Max: 7777 Min: 6879.1 / Avg: 7654.31 / Max: 7742 Min: 8173.5 / Avg: 8220.87 / Max: 8255.9 Min: 7692.6 / Avg: 7723.83 / Max: 7758 Min: 7709 / Avg: 7730.8 / Max: 7755.7 Min: 7964.9 / Avg: 7995.03 / Max: 8046.8 Min: 7570.9 / Avg: 7612.67 / Max: 7683 Min: 8082.1 / Avg: 8109.47 / Max: 8134.2 Min: 8098.4 / Avg: 8120.37 / Max: 8132.3 Min: 8082.8 / Avg: 8134.5 / Max: 8201 Min: 8080.9 / Avg: 8099.7 / Max: 8134.2 Min: 7994.6 / Avg: 8026 / Max: 8078.4 Min: 8199 / Avg: 8216.83 / Max: 8231.2 Min: 7973.4 / Avg: 8006 / Max: 8055.4 Min: 7926.3 / Avg: 7949.4 / Max: 7963.1 Min: 7974 / Avg: 8020.27 / Max: 8061.6 Min: 6641.2 / Avg: 7964.4 / Max: 8138.6 Min: 9400.9 / Avg: 9421.53 / Max: 9456.9 Min: 9411 / Avg: 9439.3 / Max: 9459.4 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 3 6 9 12 15 SE +/- 0.027, N = 3 SE +/- 0.027, N = 3 SE +/- 0.020, N = 3 SE +/- 0.023, N = 3 SE +/- 0.036, N = 3 SE +/- 0.022, N = 3 SE +/- 0.012, N = 3 SE +/- 0.027, N = 3 SE +/- 0.022, N = 3 SE +/- 0.017, N = 3 SE +/- 0.018, N = 3 SE +/- 0.047, N = 3 SE +/- 0.028, N = 3 SE +/- 0.036, N = 3 SE +/- 0.010, N = 3 SE +/- 0.022, N = 3 SE +/- 0.010, N = 3 SE +/- 0.042, N = 3 SE +/- 0.016, N = 3 SE +/- 0.025, N = 3 10.909 10.904 10.193 11.013 10.855 10.508 11.105 10.352 10.352 10.430 10.407 10.607 10.280 10.506 10.512 10.582 10.508 9.016 8.957 9.480
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Bork File Encrypter 1.4 File Encryption Time EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 3 6 9 12 15 Min: 10.86 / Avg: 10.91 / Max: 10.95 Min: 10.85 / Avg: 10.9 / Max: 10.93 Min: 10.15 / Avg: 10.19 / Max: 10.22 Min: 10.97 / Avg: 11.01 / Max: 11.05 Min: 10.78 / Avg: 10.86 / Max: 10.9 Min: 10.47 / Avg: 10.51 / Max: 10.55 Min: 11.08 / Avg: 11.11 / Max: 11.12 Min: 10.3 / Avg: 10.35 / Max: 10.38 Min: 10.31 / Avg: 10.35 / Max: 10.38 Min: 10.4 / Avg: 10.43 / Max: 10.45 Min: 10.38 / Avg: 10.41 / Max: 10.44 Min: 10.52 / Avg: 10.61 / Max: 10.67 Min: 10.24 / Avg: 10.28 / Max: 10.33 Min: 10.44 / Avg: 10.51 / Max: 10.57 Min: 10.5 / Avg: 10.51 / Max: 10.53 Min: 10.54 / Avg: 10.58 / Max: 10.62 Min: 10.49 / Avg: 10.51 / Max: 10.53 Min: 8.97 / Avg: 9.02 / Max: 9.1 Min: 8.93 / Avg: 8.96 / Max: 8.98 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 300K 600K 900K 1200K 1500K SE +/- 1232.94, N = 5 SE +/- 1769.79, N = 5 SE +/- 1036.47, N = 5 SE +/- 1633.10, N = 5 SE +/- 673.05, N = 5 SE +/- 567.47, N = 5 SE +/- 1494.44, N = 5 SE +/- 903.80, N = 5 SE +/- 736.20, N = 5 SE +/- 936.97, N = 5 SE +/- 823.10, N = 5 SE +/- 910.04, N = 5 SE +/- 968.31, N = 5 SE +/- 913.57, N = 5 SE +/- 712.78, N = 5 SE +/- 567.47, N = 5 SE +/- 893.15, N = 5 SE +/- 3053.58, N = 5 SE +/- 1687.74, N = 5 SE +/- 551.87, N = 5 960888 950613 1019963 957219 962227 994185 944092 1007278 1005805 1005806 1006909 991681 1022993 993111 991322 994185 1002876 1163483 1170383 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 200K 400K 600K 800K 1000K Min: 957874 / Avg: 960888.4 / Max: 964584 Min: 946353 / Avg: 950613.2 / Max: 956211 Min: 1018073 / Avg: 1019962.8 / Max: 1023750 Min: 952903 / Avg: 957219.4 / Max: 962898 Min: 961218 / Avg: 962227.2 / Max: 964584 Min: 992392 / Avg: 994185 / Max: 995981 Min: 938293 / Avg: 944091.8 / Max: 946353 Min: 1005069 / Avg: 1007277.6 / Max: 1010601 Min: 1005069 / Avg: 1005805.2 / Max: 1008750 Min: 1003238 / Avg: 1005806.4 / Max: 1008750 Min: 1005069 / Avg: 1006908.8 / Max: 1008750 Min: 988829 / Avg: 991680.8 / Max: 994184 Min: 1019959 / Avg: 1022993.4 / Max: 1025657 Min: 990607 / Avg: 993111.2 / Max: 995981 Min: 988829 / Avg: 991322.4 / Max: 992392 Min: 992392 / Avg: 994185 / Max: 995981 Min: 999597 / Avg: 1002876 / Max: 1005069 Min: 1152255 / Avg: 1163483.4 / Max: 1169380 Min: 1166902 / Avg: 1170383.2 / Max: 1174366 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 12 24 36 48 60 SE +/- 0.04, N = 3 SE +/- 0.12, N = 3 SE +/- 0.11, N = 3 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.21, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.09, N = 3 SE +/- 0.02, N = 3 53.86 54.98 51.69 54.25 53.86 52.24 54.77 51.46 51.50 51.47 51.41 52.40 50.71 52.55 52.25 52.33 51.76 44.72 44.35 46.62 1. (CC) gcc options: -lm
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better dcraw RAW To PPM Image Conversion EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 11 22 33 44 55 Min: 53.81 / Avg: 53.86 / Max: 53.94 Min: 54.79 / Avg: 54.98 / Max: 55.21 Min: 51.52 / Avg: 51.69 / Max: 51.89 Min: 54.1 / Avg: 54.25 / Max: 54.35 Min: 53.76 / Avg: 53.86 / Max: 53.91 Min: 52.14 / Avg: 52.24 / Max: 52.38 Min: 54.75 / Avg: 54.77 / Max: 54.79 Min: 51.42 / Avg: 51.46 / Max: 51.5 Min: 51.37 / Avg: 51.49 / Max: 51.57 Min: 51.42 / Avg: 51.47 / Max: 51.52 Min: 51.4 / Avg: 51.41 / Max: 51.41 Min: 52.36 / Avg: 52.4 / Max: 52.45 Min: 50.68 / Avg: 50.71 / Max: 50.77 Min: 52.24 / Avg: 52.55 / Max: 52.95 Min: 52.18 / Avg: 52.25 / Max: 52.33 Min: 52.31 / Avg: 52.33 / Max: 52.37 Min: 51.75 / Avg: 51.76 / Max: 51.79 Min: 44.68 / Avg: 44.72 / Max: 44.77 Min: 44.25 / Avg: 44.35 / Max: 44.54 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 130K 260K 390K 520K 650K SE +/- 351.72, N = 3 SE +/- 3277.70, N = 3 SE +/- 2718.70, N = 3 SE +/- 3427.90, N = 3 SE +/- 2863.87, N = 3 SE +/- 1526.06, N = 3 SE +/- 1155.08, N = 3 SE +/- 583.02, N = 3 SE +/- 2635.10, N = 3 SE +/- 1399.56, N = 3 SE +/- 1200.01, N = 3 SE +/- 2362.58, N = 3 SE +/- 2113.07, N = 3 SE +/- 2275.05, N = 3 SE +/- 507.16, N = 3 SE +/- 2747.06, N = 3 SE +/- 2165.69, N = 3 SE +/- 2981.62, N = 3 SE +/- 2359.01, N = 3 SE +/- 837.97, N = 3 492401 488026 522810 490002 493191 506275 484301 514044 513016 513979 515021 504716 520135 507020 506221 504339 514218 598080 600343 571873
Result Confidence
OpenBenchmarking.org Score, More Is Better PHPBench 0.8.1 PHP Benchmark Suite EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 100K 200K 300K 400K 500K Min: 492038 / Avg: 492400.67 / Max: 493104 Min: 481927 / Avg: 488025.67 / Max: 493157 Min: 517673 / Avg: 522810 / Max: 526922 Min: 486082 / Avg: 490002 / Max: 496833 Min: 488411 / Avg: 493191.33 / Max: 498314 Min: 503297 / Avg: 506275 / Max: 508343 Min: 482002 / Avg: 484301 / Max: 485647 Min: 513379 / Avg: 514044 / Max: 515206 Min: 510116 / Avg: 513016 / Max: 518277 Min: 511256 / Avg: 513979 / Max: 515902 Min: 512649 / Avg: 515020.67 / Max: 516525 Min: 500994 / Avg: 504716 / Max: 509098 Min: 517027 / Avg: 520135 / Max: 524169 Min: 503077 / Avg: 507020.33 / Max: 510958 Min: 505464 / Avg: 506220.67 / Max: 507184 Min: 499465 / Avg: 504338.67 / Max: 508972 Min: 510015 / Avg: 514218 / Max: 517226 Min: 592630 / Avg: 598080 / Max: 602901 Min: 596626 / Avg: 600343 / Max: 604718 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 3 6 9 12 15 SE +/- 0.003, N = 3 SE +/- 0.008, N = 3 SE +/- 0.009, N = 3 SE +/- 0.017, N = 3 SE +/- 0.003, N = 3 SE +/- 0.004, N = 3 SE +/- 0.002, N = 3 SE +/- 0.004, N = 3 SE +/- 0.042, N = 3 SE +/- 0.003, N = 3 SE +/- 0.007, N = 3 SE +/- 0.005, N = 3 SE +/- 0.013, N = 3 SE +/- 0.003, N = 3 SE +/- 0.010, N = 3 SE +/- 0.024, N = 3 SE +/- 0.008, N = 3 SE +/- 0.003, N = 3 SE +/- 0.003, N = 3 SE +/- 0.007, N = 3 9.836 9.907 9.260 9.887 9.832 9.528 10.024 9.404 9.436 9.396 9.400 9.564 9.266 9.543 9.550 9.556 9.446 8.124 8.087 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 3 6 9 12 15 Min: 9.83 / Avg: 9.84 / Max: 9.84 Min: 9.9 / Avg: 9.91 / Max: 9.92 Min: 9.24 / Avg: 9.26 / Max: 9.27 Min: 9.86 / Avg: 9.89 / Max: 9.92 Min: 9.83 / Avg: 9.83 / Max: 9.84 Min: 9.52 / Avg: 9.53 / Max: 9.53 Min: 10.02 / Avg: 10.02 / Max: 10.03 Min: 9.4 / Avg: 9.4 / Max: 9.41 Min: 9.39 / Avg: 9.44 / Max: 9.52 Min: 9.39 / Avg: 9.4 / Max: 9.4 Min: 9.39 / Avg: 9.4 / Max: 9.41 Min: 9.56 / Avg: 9.56 / Max: 9.57 Min: 9.25 / Avg: 9.27 / Max: 9.29 Min: 9.54 / Avg: 9.54 / Max: 9.55 Min: 9.54 / Avg: 9.55 / Max: 9.57 Min: 9.53 / Avg: 9.56 / Max: 9.6 Min: 9.43 / Avg: 9.45 / Max: 9.46 Min: 8.12 / Avg: 8.12 / Max: 8.13 Min: 8.08 / Avg: 8.09 / Max: 8.09 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 400 800 1200 1600 2000 SE +/- 4.99, N = 3 SE +/- 0.27, N = 3 SE +/- 0.15, N = 3 SE +/- 4.29, N = 3 SE +/- 0.05, N = 3 SE +/- 0.24, N = 3 SE +/- 0.36, N = 3 SE +/- 4.45, N = 3 SE +/- 6.19, N = 3 SE +/- 6.10, N = 3 SE +/- 0.36, N = 3 SE +/- 1.70, N = 3 SE +/- 6.85, N = 3 SE +/- 6.62, N = 3 SE +/- 0.32, N = 3 SE +/- 0.41, N = 3 SE +/- 0.11, N = 3 SE +/- 5.43, N = 3 SE +/- 0.26, N = 3 SE +/- 0.08, N = 3 1543.18 1549.85 1649.03 1545.62 1551.93 1600.37 1526.07 1620.27 1617.94 1618.31 1624.46 1585.16 1642.14 1593.45 1599.97 1600.43 1618.82 1882.96 1891.08 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 300 600 900 1200 1500 Min: 1533.19 / Avg: 1543.18 / Max: 1548.29 Min: 1549.49 / Avg: 1549.85 / Max: 1550.38 Min: 1648.87 / Avg: 1649.03 / Max: 1649.33 Min: 1537.08 / Avg: 1545.62 / Max: 1550.66 Min: 1551.82 / Avg: 1551.93 / Max: 1551.98 Min: 1599.9 / Avg: 1600.37 / Max: 1600.64 Min: 1525.45 / Avg: 1526.07 / Max: 1526.7 Min: 1611.36 / Avg: 1620.27 / Max: 1624.8 Min: 1605.58 / Avg: 1617.94 / Max: 1624.6 Min: 1606.12 / Avg: 1618.31 / Max: 1624.72 Min: 1624.07 / Avg: 1624.46 / Max: 1625.17 Min: 1581.93 / Avg: 1585.16 / Max: 1587.68 Min: 1628.44 / Avg: 1642.14 / Max: 1649.35 Min: 1580.23 / Avg: 1593.45 / Max: 1600.52 Min: 1599.53 / Avg: 1599.97 / Max: 1600.6 Min: 1599.65 / Avg: 1600.43 / Max: 1601.06 Min: 1618.68 / Avg: 1618.82 / Max: 1619.05 Min: 1872.09 / Avg: 1882.96 / Max: 1888.44 Min: 1890.57 / Avg: 1891.08 / Max: 1891.43 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 16 32 48 64 80 SE +/- 0.07, N = 3 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.10, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.19, N = 3 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 68.88 68.80 64.87 68.52 68.20 66.30 69.79 65.33 65.78 65.51 65.48 67.11 64.48 66.71 67.09 66.49 65.80 56.46 56.33 59.77
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Color Enhance EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 14 28 42 56 70 Min: 68.76 / Avg: 68.88 / Max: 68.99 Min: 68.7 / Avg: 68.8 / Max: 68.93 Min: 64.76 / Avg: 64.87 / Max: 64.93 Min: 68.35 / Avg: 68.52 / Max: 68.69 Min: 68.15 / Avg: 68.2 / Max: 68.25 Min: 66.23 / Avg: 66.29 / Max: 66.39 Min: 69.68 / Avg: 69.79 / Max: 69.87 Min: 65.24 / Avg: 65.33 / Max: 65.41 Min: 65.72 / Avg: 65.78 / Max: 65.82 Min: 65.45 / Avg: 65.51 / Max: 65.56 Min: 65.43 / Avg: 65.48 / Max: 65.55 Min: 67.01 / Avg: 67.11 / Max: 67.19 Min: 64.41 / Avg: 64.48 / Max: 64.54 Min: 66.65 / Avg: 66.71 / Max: 66.78 Min: 66.86 / Avg: 67.09 / Max: 67.47 Min: 66.43 / Avg: 66.49 / Max: 66.53 Min: 65.66 / Avg: 65.8 / Max: 65.9 Min: 56.43 / Avg: 56.46 / Max: 56.49 Min: 56.32 / Avg: 56.33 / Max: 56.35 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 2 4 6 8 10 7.87 7.87 7.41 7.86 7.88 7.63 7.99 7.51 7.51 7.53 7.50 7.63 7.40 7.62 7.62 7.63 7.53 6.46 6.45 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 9 18 27 36 45 SE +/- 0.00, N = 3 SE +/- 0.04, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, 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 +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 40.54 40.89 38.51 40.77 40.57 39.28 41.26 38.75 38.79 38.75 38.71 39.45 38.22 39.33 39.32 39.40 38.89 33.46 33.31 35.14 1. (CC) gcc options: -lm -O3
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better AOBench Size: 2048 x 2048 - Total Time EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 9 18 27 36 45 Min: 40.53 / Avg: 40.54 / Max: 40.55 Min: 40.84 / Avg: 40.89 / Max: 40.96 Min: 38.5 / Avg: 38.51 / Max: 38.52 Min: 40.76 / Avg: 40.77 / Max: 40.79 Min: 40.54 / Avg: 40.57 / Max: 40.6 Min: 39.27 / Avg: 39.28 / Max: 39.31 Min: 41.23 / Avg: 41.26 / Max: 41.28 Min: 38.73 / Avg: 38.75 / Max: 38.75 Min: 38.75 / Avg: 38.79 / Max: 38.86 Min: 38.71 / Avg: 38.75 / Max: 38.77 Min: 38.7 / Avg: 38.71 / Max: 38.72 Min: 39.43 / Avg: 39.45 / Max: 39.47 Min: 38.17 / Avg: 38.22 / Max: 38.31 Min: 39.32 / Avg: 39.33 / Max: 39.34 Min: 39.3 / Avg: 39.32 / Max: 39.32 Min: 39.32 / Avg: 39.4 / Max: 39.48 Min: 38.87 / Avg: 38.89 / Max: 38.91 Min: 33.44 / Avg: 33.46 / Max: 33.5 Min: 33.26 / Avg: 33.31 / Max: 33.35 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 300 600 900 1200 1500 SE +/- 0.14, N = 3 SE +/- 0.22, N = 3 SE +/- 0.03, N = 3 SE +/- 0.37, N = 3 SE +/- 0.20, N = 3 SE +/- 0.23, N = 3 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 SE +/- 0.22, N = 3 SE +/- 0.15, N = 3 SE +/- 0.14, N = 3 SE +/- 0.59, N = 3 SE +/- 0.26, N = 3 SE +/- 0.29, N = 3 SE +/- 0.06, N = 3 SE +/- 0.07, N = 3 SE +/- 0.15, N = 3 SE +/- 0.09, N = 3 SE +/- 0.25, N = 3 SE +/- 0.16, N = 3 954.57 951.01 1014.89 950.84 954.77 984.81 939.99 999.52 1000.18 1000.06 999.56 982.88 1015.11 985.33 985.06 985.70 996.68 1159.53 1164.22 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 200 400 600 800 1000 Min: 954.32 / Avg: 954.57 / Max: 954.81 Min: 950.79 / Avg: 951.01 / Max: 951.45 Min: 1014.84 / Avg: 1014.89 / Max: 1014.94 Min: 950.42 / Avg: 950.84 / Max: 951.59 Min: 954.47 / Avg: 954.77 / Max: 955.16 Min: 984.35 / Avg: 984.81 / Max: 985.07 Min: 939.93 / Avg: 939.99 / Max: 940.08 Min: 999.42 / Avg: 999.52 / Max: 999.62 Min: 999.84 / Avg: 1000.18 / Max: 1000.6 Min: 999.79 / Avg: 1000.06 / Max: 1000.31 Min: 999.32 / Avg: 999.56 / Max: 999.82 Min: 982.03 / Avg: 982.88 / Max: 984.01 Min: 1014.63 / Avg: 1015.11 / Max: 1015.51 Min: 984.87 / Avg: 985.33 / Max: 985.87 Min: 984.94 / Avg: 985.06 / Max: 985.16 Min: 985.56 / Avg: 985.7 / Max: 985.81 Min: 996.53 / Avg: 996.68 / Max: 996.97 Min: 1159.36 / Avg: 1159.53 / Max: 1159.67 Min: 1163.84 / Avg: 1164.22 / Max: 1164.7 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 0.2477 0.4954 0.7431 0.9908 1.2385 SE +/- 0.001672, N = 3 SE +/- 0.003821, N = 3 SE +/- 0.004000, N = 3 SE +/- 0.001552, N = 3 SE +/- 0.001415, N = 3 SE +/- 0.001091, N = 3 SE +/- 0.001080, N = 3 SE +/- 0.000791, N = 3 SE +/- 0.001174, N = 3 SE +/- 0.000668, N = 3 SE +/- 0.001534, N = 3 SE +/- 0.001981, N = 3 SE +/- 0.000354, N = 3 SE +/- 0.000932, N = 3 SE +/- 0.000753, N = 3 SE +/- 0.000882, N = 3 SE +/- 0.000715, N = 3 SE +/- 0.002476, N = 3 SE +/- 0.000474, N = 3 SE +/- 0.000997, N = 3 1.098203 1.100890 1.025110 1.087148 1.082283 1.048465 1.100758 1.035080 1.033427 1.033955 1.051038 1.056087 1.015980 1.049650 1.048453 1.052042 1.036920 0.894938 0.888915 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 2 4 6 8 10 Min: 1.1 / Avg: 1.1 / Max: 1.1 Min: 1.09 / Avg: 1.1 / Max: 1.11 Min: 1.02 / Avg: 1.03 / Max: 1.03 Min: 1.08 / Avg: 1.09 / Max: 1.09 Min: 1.08 / Avg: 1.08 / Max: 1.09 Min: 1.05 / Avg: 1.05 / Max: 1.05 Min: 1.1 / Avg: 1.1 / Max: 1.1 Min: 1.03 / Avg: 1.04 / Max: 1.04 Min: 1.03 / Avg: 1.03 / Max: 1.04 Min: 1.03 / Avg: 1.03 / Max: 1.03 Min: 1.05 / Avg: 1.05 / Max: 1.05 Min: 1.05 / Avg: 1.06 / Max: 1.06 Min: 1.02 / Avg: 1.02 / Max: 1.02 Min: 1.05 / Avg: 1.05 / Max: 1.05 Min: 1.05 / Avg: 1.05 / Max: 1.05 Min: 1.05 / Avg: 1.05 / Max: 1.05 Min: 1.04 / Avg: 1.04 / Max: 1.04 Min: 0.89 / Avg: 0.89 / Max: 0.9 Min: 0.89 / Avg: 0.89 / Max: 0.89 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 80 160 240 320 400 SE +/- 0.08, N = 3 SE +/- 0.14, N = 3 SE +/- 0.07, N = 3 SE +/- 0.28, N = 3 SE +/- 0.06, N = 3 SE +/- 0.15, N = 3 SE +/- 0.15, N = 3 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 SE +/- 0.20, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 SE +/- 0.11, N = 3 SE +/- 0.09, N = 3 SE +/- 0.05, N = 3 SE +/- 0.14, N = 3 SE +/- 0.20, N = 3 SE +/- 0.08, N = 3 SE +/- 0.05, N = 3 288.79 285.66 306.78 286.58 288.71 297.66 283.96 302.31 302.33 302.26 302.38 297.88 306.83 298.00 297.79 297.96 301.30 349.06 351.65 333.87 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 60 120 180 240 300 Min: 288.69 / Avg: 288.79 / Max: 288.94 Min: 285.41 / Avg: 285.66 / Max: 285.91 Min: 306.68 / Avg: 306.78 / Max: 306.92 Min: 286.21 / Avg: 286.58 / Max: 287.13 Min: 288.64 / Avg: 288.71 / Max: 288.82 Min: 297.46 / Avg: 297.66 / Max: 297.95 Min: 283.71 / Avg: 283.96 / Max: 284.24 Min: 302.23 / Avg: 302.31 / Max: 302.38 Min: 302.17 / Avg: 302.33 / Max: 302.45 Min: 301.89 / Avg: 302.26 / Max: 302.56 Min: 302.31 / Avg: 302.37 / Max: 302.42 Min: 297.79 / Avg: 297.88 / Max: 297.94 Min: 306.75 / Avg: 306.83 / Max: 306.95 Min: 297.78 / Avg: 298 / Max: 298.16 Min: 297.63 / Avg: 297.78 / Max: 297.96 Min: 297.9 / Avg: 297.96 / Max: 298.06 Min: 301.1 / Avg: 301.3 / Max: 301.58 Min: 348.75 / Avg: 349.06 / Max: 349.44 Min: 351.48 / Avg: 351.65 / Max: 351.75 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 6 12 18 24 30 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 24.40 24.62 23.21 24.56 24.39 23.63 24.83 23.29 23.35 23.31 23.31 23.74 22.96 23.67 23.65 23.68 23.39 20.13 20.05 21.17 1. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better RNNoise 2020-06-28 EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 6 12 18 24 30 Min: 24.38 / Avg: 24.4 / Max: 24.42 Min: 24.55 / Avg: 24.62 / Max: 24.66 Min: 23.17 / Avg: 23.21 / Max: 23.23 Min: 24.49 / Avg: 24.56 / Max: 24.62 Min: 24.38 / Avg: 24.39 / Max: 24.41 Min: 23.61 / Avg: 23.63 / Max: 23.66 Min: 24.78 / Avg: 24.83 / Max: 24.86 Min: 23.29 / Avg: 23.29 / Max: 23.29 Min: 23.32 / Avg: 23.35 / Max: 23.4 Min: 23.28 / Avg: 23.31 / Max: 23.36 Min: 23.29 / Avg: 23.31 / Max: 23.33 Min: 23.71 / Avg: 23.74 / Max: 23.79 Min: 22.94 / Avg: 22.96 / Max: 22.97 Min: 23.66 / Avg: 23.67 / Max: 23.68 Min: 23.61 / Avg: 23.64 / Max: 23.67 Min: 23.65 / Avg: 23.68 / Max: 23.73 Min: 23.37 / Avg: 23.39 / Max: 23.44 Min: 20.1 / Avg: 20.13 / Max: 20.16 Min: 20.04 / Avg: 20.05 / Max: 20.08 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 30 60 90 120 150 SE +/- 0.38, N = 3 SE +/- 0.02, N = 3 SE +/- 0.12, N = 3 SE +/- 0.27, N = 3 SE +/- 0.29, N = 3 SE +/- 0.03, N = 3 SE +/- 0.11, N = 3 SE +/- 0.04, N = 3 SE +/- 1.35, N = 3 SE +/- 0.06, N = 3 SE +/- 0.08, N = 3 SE +/- 0.05, N = 3 SE +/- 0.10, N = 3 SE +/- 0.09, N = 3 SE +/- 0.05, N = 3 SE +/- 0.10, N = 3 SE +/- 0.22, N = 3 SE +/- 0.07, N = 3 SE +/- 0.17, N = 3 SE +/- 0.45, N = 3 114.61 114.21 121.97 114.54 114.51 118.58 113.09 120.41 119.05 120.37 120.37 118.68 122.15 118.56 118.56 118.48 119.74 139.28 140.00 132.58 1. (CC) gcc options: -lm
Result Confidence
OpenBenchmarking.org Mflops, More Is Better SciMark 2.0 Computational Test: Monte Carlo EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 30 60 90 120 150 Min: 113.86 / Avg: 114.61 / Max: 115.03 Min: 114.18 / Avg: 114.21 / Max: 114.23 Min: 121.74 / Avg: 121.97 / Max: 122.15 Min: 114.16 / Avg: 114.54 / Max: 115.07 Min: 113.96 / Avg: 114.51 / Max: 114.92 Min: 118.52 / Avg: 118.58 / Max: 118.62 Min: 112.87 / Avg: 113.09 / Max: 113.22 Min: 120.36 / Avg: 120.41 / Max: 120.48 Min: 116.35 / Avg: 119.05 / Max: 120.42 Min: 120.25 / Avg: 120.37 / Max: 120.43 Min: 120.22 / Avg: 120.37 / Max: 120.47 Min: 118.58 / Avg: 118.68 / Max: 118.75 Min: 121.94 / Avg: 122.15 / Max: 122.26 Min: 118.38 / Avg: 118.56 / Max: 118.67 Min: 118.51 / Avg: 118.56 / Max: 118.65 Min: 118.28 / Avg: 118.48 / Max: 118.61 Min: 119.29 / Avg: 119.74 / Max: 119.98 Min: 139.18 / Avg: 139.28 / Max: 139.41 Min: 139.68 / Avg: 140 / Max: 140.23 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 100 200 300 400 500 SE +/- 0.89, N = 3 SE +/- 0.49, N = 3 SE +/- 0.09, N = 3 SE +/- 0.68, N = 3 SE +/- 0.06, N = 3 SE +/- 0.17, N = 3 SE +/- 0.10, N = 3 SE +/- 1.04, N = 3 SE +/- 1.02, N = 3 SE +/- 0.56, N = 3 SE +/- 0.09, N = 3 SE +/- 0.16, N = 3 SE +/- 0.69, N = 3 SE +/- 1.09, N = 3 SE +/- 0.03, N = 3 SE +/- 0.77, N = 3 SE +/- 0.14, N = 3 SE +/- 0.18, N = 3 SE +/- 0.62, N = 3 SE +/- 0.17, N = 3 388.80 386.77 412.22 386.81 387.79 399.98 381.50 407.18 407.11 406.62 405.99 401.44 412.61 400.85 400.05 400.21 404.44 471.25 472.22 448.29 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 80 160 240 320 400 Min: 387.76 / Avg: 388.8 / Max: 390.57 Min: 386.19 / Avg: 386.77 / Max: 387.75 Min: 412.13 / Avg: 412.22 / Max: 412.39 Min: 386.05 / Avg: 386.81 / Max: 388.17 Min: 387.7 / Avg: 387.79 / Max: 387.9 Min: 399.65 / Avg: 399.98 / Max: 400.19 Min: 381.38 / Avg: 381.5 / Max: 381.69 Min: 406.1 / Avg: 407.18 / Max: 409.25 Min: 406.04 / Avg: 407.11 / Max: 409.16 Min: 405.99 / Avg: 406.62 / Max: 407.74 Min: 405.84 / Avg: 405.99 / Max: 406.14 Min: 401.15 / Avg: 401.44 / Max: 401.7 Min: 411.86 / Avg: 412.61 / Max: 413.98 Min: 399.66 / Avg: 400.85 / Max: 403.02 Min: 400 / Avg: 400.05 / Max: 400.1 Min: 399.12 / Avg: 400.21 / Max: 401.69 Min: 404.16 / Avg: 404.44 / Max: 404.59 Min: 470.9 / Avg: 471.25 / Max: 471.48 Min: 471 / Avg: 472.22 / Max: 472.99 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 30 60 90 120 150 SE +/- 0.06, N = 3 SE +/- 0.30, N = 3 SE +/- 0.02, N = 3 SE +/- 0.16, N = 3 SE +/- 0.07, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, 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 +/- 0.20, N = 3 SE +/- 0.16, N = 3 SE +/- 0.13, N = 3 SE +/- 0.01, N = 3 112.59 111.50 119.89 112.08 112.79 116.33 110.95 118.08 118.15 118.11 118.07 116.34 119.93 116.39 116.27 116.34 117.51 136.44 137.29 130.42 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 30 60 90 120 150 Min: 112.52 / Avg: 112.59 / Max: 112.7 Min: 110.91 / Avg: 111.5 / Max: 111.87 Min: 119.86 / Avg: 119.89 / Max: 119.92 Min: 111.89 / Avg: 112.08 / Max: 112.39 Min: 112.66 / Avg: 112.79 / Max: 112.89 Min: 116.27 / Avg: 116.33 / Max: 116.42 Min: 110.9 / Avg: 110.95 / Max: 111.06 Min: 117.97 / Avg: 118.07 / Max: 118.15 Min: 118.1 / Avg: 118.15 / Max: 118.18 Min: 118.05 / Avg: 118.11 / Max: 118.2 Min: 118 / Avg: 118.07 / Max: 118.14 Min: 116.29 / Avg: 116.34 / Max: 116.37 Min: 119.91 / Avg: 119.93 / Max: 119.95 Min: 116.37 / Avg: 116.39 / Max: 116.42 Min: 116.21 / Avg: 116.27 / Max: 116.31 Min: 116.33 / Avg: 116.34 / Max: 116.36 Min: 117.11 / Avg: 117.51 / Max: 117.71 Min: 136.12 / Avg: 136.44 / Max: 136.6 Min: 137.03 / Avg: 137.29 / Max: 137.45 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 5 10 15 20 25 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 21.63 21.93 20.20 21.68 21.45 20.87 21.91 20.52 20.59 20.52 20.49 20.84 20.19 20.79 20.78 20.79 20.72 17.83 17.73 18.61
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Dolfyn 0.527 Computational Fluid Dynamics EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 5 10 15 20 25 Min: 21.61 / Avg: 21.63 / Max: 21.64 Min: 21.86 / Avg: 21.93 / Max: 22.06 Min: 20.18 / Avg: 20.2 / Max: 20.23 Min: 21.62 / Avg: 21.68 / Max: 21.74 Min: 21.44 / Avg: 21.45 / Max: 21.47 Min: 20.85 / Avg: 20.87 / Max: 20.9 Min: 21.79 / Avg: 21.91 / Max: 22.06 Min: 20.48 / Avg: 20.52 / Max: 20.58 Min: 20.53 / Avg: 20.59 / Max: 20.65 Min: 20.49 / Avg: 20.52 / Max: 20.54 Min: 20.45 / Avg: 20.49 / Max: 20.51 Min: 20.79 / Avg: 20.84 / Max: 20.91 Min: 20.15 / Avg: 20.19 / Max: 20.21 Min: 20.77 / Avg: 20.79 / Max: 20.82 Min: 20.76 / Avg: 20.78 / Max: 20.8 Min: 20.77 / Avg: 20.79 / Max: 20.81 Min: 20.66 / Avg: 20.72 / Max: 20.76 Min: 17.8 / Avg: 17.83 / Max: 17.88 Min: 17.69 / Avg: 17.73 / Max: 17.8 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 9 18 27 36 45 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, 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 +/- 0.00, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.08, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 37.26 37.57 35.36 37.34 37.25 36.21 38.10 35.73 36.08 35.88 35.87 36.76 35.30 36.55 36.72 36.35 36.04 30.84 30.81 32.58
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Reflect EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 8 16 24 32 40 Min: 37.17 / Avg: 37.26 / Max: 37.37 Min: 37.54 / Avg: 37.57 / Max: 37.63 Min: 35.24 / Avg: 35.36 / Max: 35.49 Min: 37.23 / Avg: 37.34 / Max: 37.4 Min: 37.19 / Avg: 37.25 / Max: 37.29 Min: 36.18 / Avg: 36.21 / Max: 36.23 Min: 38.01 / Avg: 38.1 / Max: 38.19 Min: 35.7 / Avg: 35.73 / Max: 35.77 Min: 36.04 / Avg: 36.08 / Max: 36.11 Min: 35.84 / Avg: 35.88 / Max: 35.91 Min: 35.87 / Avg: 35.87 / Max: 35.88 Min: 36.7 / Avg: 36.76 / Max: 36.82 Min: 35.24 / Avg: 35.3 / Max: 35.4 Min: 36.5 / Avg: 36.55 / Max: 36.58 Min: 36.67 / Avg: 36.72 / Max: 36.78 Min: 36.31 / Avg: 36.35 / Max: 36.39 Min: 35.94 / Avg: 36.04 / Max: 36.21 Min: 30.81 / Avg: 30.84 / Max: 30.86 Min: 30.77 / Avg: 30.81 / Max: 30.87 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 700 1400 2100 2800 3500 SE +/- 36.77, N = 3 SE +/- 11.61, N = 3 SE +/- 11.58, N = 3 SE +/- 41.46, N = 3 SE +/- 9.25, N = 3 SE +/- 17.23, N = 3 SE +/- 20.43, N = 3 SE +/- 3.04, N = 3 SE +/- 36.94, N = 3 SE +/- 16.12, N = 3 SE +/- 36.68, N = 3 SE +/- 38.78, N = 3 SE +/- 22.48, N = 3 SE +/- 31.43, N = 3 SE +/- 16.57, N = 3 SE +/- 18.09, N = 3 SE +/- 19.93, N = 3 SE +/- 5.57, N = 3 SE +/- 12.55, N = 3 SE +/- 44.73, N = 3 2706 2638 2666 2959 3010 2821 2958 3017 3007 3064 3086 2870 3136 3089 3037 2993 3118 3060 3025 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 600 1200 1800 2400 3000 Min: 2653.24 / Avg: 2706.36 / Max: 2776.95 Min: 2624.07 / Avg: 2637.91 / Max: 2660.98 Min: 2642.62 / Avg: 2665.73 / Max: 2678.58 Min: 2880.76 / Avg: 2959.07 / Max: 3021.81 Min: 2992.58 / Avg: 3010.35 / Max: 3023.7 Min: 2797.47 / Avg: 2821.48 / Max: 2854.9 Min: 2927.75 / Avg: 2958.16 / Max: 2996.99 Min: 3013.25 / Avg: 3017.3 / Max: 3023.25 Min: 2961.68 / Avg: 3007.13 / Max: 3080.29 Min: 3033.37 / Avg: 3063.79 / Max: 3088.28 Min: 3012.63 / Avg: 3085.97 / Max: 3124.23 Min: 2816.65 / Avg: 2869.87 / Max: 2945.34 Min: 3091.94 / Avg: 3135.97 / Max: 3165.84 Min: 3030.41 / Avg: 3088.86 / Max: 3138.1 Min: 3005.01 / Avg: 3037.11 / Max: 3060.32 Min: 2957.29 / Avg: 2992.6 / Max: 3017.08 Min: 3081.23 / Avg: 3117.96 / Max: 3149.71 Min: 3050.34 / Avg: 3060.33 / Max: 3069.58 Min: 3001.96 / Avg: 3025.16 / Max: 3045.07 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 70 140 210 280 350 SE +/- 0.16, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 SE +/- 0.13, N = 3 SE +/- 0.05, N = 3 SE +/- 0.29, N = 3 SE +/- 0.46, N = 3 SE +/- 0.14, N = 3 SE +/- 0.14, N = 3 SE +/- 0.17, N = 3 SE +/- 0.08, N = 3 SE +/- 0.09, N = 3 SE +/- 0.18, N = 3 SE +/- 0.05, N = 3 SE +/- 0.12, N = 3 SE +/- 0.03, N = 3 SE +/- 0.11, N = 3 SE +/- 0.09, N = 3 SE +/- 0.20, N = 3 SE +/- 0.20, N = 3 319.96 319.57 302.08 319.16 317.09 309.77 323.49 303.36 303.50 304.54 303.53 308.21 299.07 307.88 309.42 308.03 304.61 262.37 261.64 276.20 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 60 120 180 240 300 Min: 319.64 / Avg: 319.96 / Max: 320.15 Min: 319.47 / Avg: 319.57 / Max: 319.68 Min: 301.98 / Avg: 302.08 / Max: 302.14 Min: 318.9 / Avg: 319.16 / Max: 319.3 Min: 317.03 / Avg: 317.09 / Max: 317.19 Min: 309.24 / Avg: 309.77 / Max: 310.24 Min: 322.66 / Avg: 323.49 / Max: 324.24 Min: 303.21 / Avg: 303.36 / Max: 303.64 Min: 303.26 / Avg: 303.5 / Max: 303.75 Min: 304.21 / Avg: 304.53 / Max: 304.8 Min: 303.41 / Avg: 303.53 / Max: 303.69 Min: 308.08 / Avg: 308.21 / Max: 308.37 Min: 298.75 / Avg: 299.07 / Max: 299.36 Min: 307.77 / Avg: 307.88 / Max: 307.95 Min: 309.2 / Avg: 309.42 / Max: 309.6 Min: 307.98 / Avg: 308.03 / Max: 308.08 Min: 304.4 / Avg: 304.61 / Max: 304.79 Min: 262.2 / Avg: 262.37 / Max: 262.49 Min: 261.36 / Avg: 261.64 / Max: 262.03 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 11 22 33 44 55 SE +/- 0.07, N = 3 SE +/- 0.00, N = 3 SE +/- 0.24, N = 3 SE +/- 0.19, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.10, N = 3 SE +/- 0.14, N = 3 SE +/- 0.02, N = 3 SE +/- 0.21, N = 3 SE +/- 0.09, N = 3 SE +/- 0.30, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.43, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 47.30 47.42 45.08 47.41 46.98 45.62 47.97 44.95 44.84 45.11 44.94 46.11 44.14 45.45 45.56 45.93 45.01 39.10 38.80 40.71
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Gzip Compression Linux Source Tree Archiving To .tar.gz EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 10 20 30 40 50 Min: 47.19 / Avg: 47.29 / Max: 47.44 Min: 47.41 / Avg: 47.42 / Max: 47.42 Min: 44.81 / Avg: 45.08 / Max: 45.57 Min: 47.21 / Avg: 47.41 / Max: 47.78 Min: 46.93 / Avg: 46.98 / Max: 47.07 Min: 45.57 / Avg: 45.62 / Max: 45.67 Min: 47.77 / Avg: 47.97 / Max: 48.12 Min: 44.81 / Avg: 44.95 / Max: 45.23 Min: 44.8 / Avg: 44.84 / Max: 44.87 Min: 44.78 / Avg: 45.11 / Max: 45.5 Min: 44.84 / Avg: 44.94 / Max: 45.13 Min: 45.76 / Avg: 46.11 / Max: 46.71 Min: 44.09 / Avg: 44.14 / Max: 44.19 Min: 45.42 / Avg: 45.45 / Max: 45.48 Min: 45.47 / Avg: 45.56 / Max: 45.61 Min: 45.48 / Avg: 45.93 / Max: 46.79 Min: 44.96 / Avg: 45.01 / Max: 45.06 Min: 39.01 / Avg: 39.1 / Max: 39.15 Min: 38.78 / Avg: 38.8 / Max: 38.81 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 20 40 60 80 100 SE +/- 0.00, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.09, N = 3 SE +/- 1.32, N = 3 SE +/- 0.01, N = 3 71.80 71.45 76.25 71.59 71.71 74.02 70.48 75.14 75.14 75.07 75.12 74.03 76.29 74.05 74.02 74.00 74.80 87.13 86.15 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 20 40 60 80 100 Min: 71.8 / Avg: 71.8 / Max: 71.81 Min: 71.36 / Avg: 71.45 / Max: 71.51 Min: 76.22 / Avg: 76.25 / Max: 76.3 Min: 71.58 / Avg: 71.59 / Max: 71.61 Min: 71.68 / Avg: 71.71 / Max: 71.77 Min: 74.01 / Avg: 74.02 / Max: 74.02 Min: 70.4 / Avg: 70.48 / Max: 70.61 Min: 75.12 / Avg: 75.14 / Max: 75.16 Min: 75.11 / Avg: 75.14 / Max: 75.16 Min: 75.03 / Avg: 75.07 / Max: 75.13 Min: 75.06 / Avg: 75.12 / Max: 75.17 Min: 73.99 / Avg: 74.03 / Max: 74.05 Min: 76.28 / Avg: 76.29 / Max: 76.31 Min: 74.04 / Avg: 74.05 / Max: 74.09 Min: 74.01 / Avg: 74.02 / Max: 74.04 Min: 73.98 / Avg: 74 / Max: 74.02 Min: 74.73 / Avg: 74.8 / Max: 74.9 Min: 86.95 / Avg: 87.13 / Max: 87.22 Min: 83.52 / Avg: 86.15 / Max: 87.48 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 70M 140M 210M 280M 350M SE +/- 656575.68, N = 3 SE +/- 3346394.39, N = 3 SE +/- 135788.68, N = 3 SE +/- 168177.47, N = 3 SE +/- 178481.76, N = 3 SE +/- 122611.09, N = 3 SE +/- 159242.75, N = 3 SE +/- 115844.25, N = 3 SE +/- 3735800.36, N = 3 SE +/- 19204.56, N = 3 SE +/- 249228.70, N = 3 SE +/- 208309.65, N = 3 SE +/- 606796.66, N = 3 SE +/- 149246.40, N = 3 SE +/- 326600.42, N = 3 SE +/- 128106.17, N = 3 SE +/- 259915.46, N = 3 SE +/- 957923.37, N = 3 SE +/- 134083.43, N = 3 SE +/- 474278.12, N = 3 276849835.77 274235020.34 295319267.70 278208760.91 278269504.20 287328501.00 274090977.81 291468543.97 288397184.91 291131291.45 291736111.66 287157431.51 295999448.27 287471325.10 286220634.19 286590944.39 291064294.15 338683643.76 338580247.88 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 60M 120M 180M 240M 300M Min: 275537498.15 / Avg: 276849835.77 / Max: 277546034 Min: 267542253.13 / Avg: 274235020.34 / Max: 277596120.27 Min: 295083179.89 / Avg: 295319267.7 / Max: 295553555.36 Min: 277993425.1 / Avg: 278208760.91 / Max: 278540200.69 Min: 277913646.4 / Avg: 278269504.2 / Max: 278471746.39 Min: 287105172.58 / Avg: 287328501 / Max: 287527879.24 Min: 273773069.3 / Avg: 274090977.81 / Max: 274266527.11 Min: 291286695.38 / Avg: 291468543.97 / Max: 291683798.43 Min: 280926056.63 / Avg: 288397184.91 / Max: 292205513 Min: 291097868.07 / Avg: 291131291.45 / Max: 291164392.26 Min: 291245765.71 / Avg: 291736111.66 / Max: 292058844.08 Min: 286871915.18 / Avg: 287157431.51 / Max: 287562942.5 Min: 294785978.57 / Avg: 295999448.27 / Max: 296621183.85 Min: 287202473.29 / Avg: 287471325.1 / Max: 287718056.37 Min: 285672800.09 / Avg: 286220634.19 / Max: 286802628.92 Min: 286355086.15 / Avg: 286590944.39 / Max: 286795543.79 Min: 290575870.86 / Avg: 291064294.15 / Max: 291462616.67 Min: 336869842.29 / Avg: 338683643.76 / Max: 340124814.79 Min: 338327615.57 / Avg: 338580247.88 / Max: 338784460.06 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 40 80 120 160 200 SE +/- 0.03, N = 3 SE +/- 0.22, N = 3 SE +/- 0.12, N = 3 SE +/- 0.14, N = 3 SE +/- 0.13, N = 3 SE +/- 0.14, N = 3 SE +/- 0.12, N = 3 SE +/- 0.27, N = 3 SE +/- 0.16, N = 3 SE +/- 0.15, N = 3 SE +/- 0.06, N = 3 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 SE +/- 0.10, N = 3 SE +/- 0.05, N = 3 SE +/- 0.16, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 163.28 161.77 171.97 162.52 163.10 168.05 160.53 170.56 170.62 170.68 170.79 167.80 173.39 168.19 168.31 168.10 170.25 197.43 198.33 188.50 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 40 80 120 160 200 Min: 163.24 / Avg: 163.28 / Max: 163.35 Min: 161.41 / Avg: 161.77 / Max: 162.17 Min: 171.84 / Avg: 171.97 / Max: 172.21 Min: 162.36 / Avg: 162.52 / Max: 162.8 Min: 162.9 / Avg: 163.1 / Max: 163.34 Min: 167.79 / Avg: 168.05 / Max: 168.26 Min: 160.29 / Avg: 160.53 / Max: 160.67 Min: 170.01 / Avg: 170.56 / Max: 170.85 Min: 170.44 / Avg: 170.62 / Max: 170.93 Min: 170.38 / Avg: 170.68 / Max: 170.86 Min: 170.66 / Avg: 170.79 / Max: 170.86 Min: 167.71 / Avg: 167.8 / Max: 167.95 Min: 173.33 / Avg: 173.39 / Max: 173.45 Min: 168.03 / Avg: 168.19 / Max: 168.29 Min: 168.27 / Avg: 168.31 / Max: 168.36 Min: 167.92 / Avg: 168.1 / Max: 168.25 Min: 170.14 / Avg: 170.25 / Max: 170.31 Min: 197.12 / Avg: 197.43 / Max: 197.67 Min: 198.25 / Avg: 198.33 / Max: 198.45 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 0.0853 0.1706 0.2559 0.3412 0.4265 SE +/- 0.005, N = 3 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 SE +/- 0.005, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 SE +/- 0.000, N = 3 SE +/- 0.004, N = 3 SE +/- 0.002, N = 3 SE +/- 0.004, 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 +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.004, N = 3 0.370 0.379 0.375 0.338 0.332 0.355 0.338 0.332 0.333 0.327 0.324 0.349 0.319 0.324 0.329 0.334 0.321 0.327 0.330 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 1 2 3 4 5 Min: 0.36 / Avg: 0.37 / Max: 0.38 Min: 0.38 / Avg: 0.38 / Max: 0.38 Min: 0.37 / Avg: 0.38 / Max: 0.38 Min: 0.33 / Avg: 0.34 / Max: 0.35 Min: 0.33 / Avg: 0.33 / Max: 0.33 Min: 0.35 / Avg: 0.35 / Max: 0.36 Min: 0.33 / Avg: 0.34 / Max: 0.34 Min: 0.33 / Avg: 0.33 / Max: 0.33 Min: 0.33 / Avg: 0.33 / Max: 0.34 Min: 0.32 / Avg: 0.33 / Max: 0.33 Min: 0.32 / Avg: 0.32 / Max: 0.33 Min: 0.34 / Avg: 0.35 / Max: 0.36 Min: 0.32 / Avg: 0.32 / Max: 0.32 Min: 0.32 / Avg: 0.32 / Max: 0.33 Min: 0.33 / Avg: 0.33 / Max: 0.33 Min: 0.33 / Avg: 0.33 / Max: 0.34 Min: 0.32 / Avg: 0.32 / Max: 0.33 Min: 0.33 / Avg: 0.33 / Max: 0.33 Min: 0.33 / Avg: 0.33 / 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 150 300 450 600 750 SE +/- 0.14, N = 3 SE +/- 0.09, N = 3 SE +/- 0.09, N = 3 SE +/- 1.26, N = 3 SE +/- 0.78, N = 3 SE +/- 0.11, N = 3 SE +/- 0.15, N = 3 SE +/- 0.24, N = 3 SE +/- 0.76, N = 3 SE +/- 0.28, N = 3 SE +/- 0.30, N = 3 SE +/- 3.52, N = 3 SE +/- 0.93, N = 3 SE +/- 0.47, N = 3 SE +/- 0.44, N = 3 SE +/- 0.32, N = 3 SE +/- 0.10, N = 3 SE +/- 0.94, N = 3 SE +/- 0.07, N = 3 SE +/- 0.11, N = 3 582.51 580.57 622.28 584.53 585.04 603.65 576.35 612.93 612.90 613.29 613.09 576.87 621.71 603.18 602.54 602.90 610.69 708.70 711.31 676.60 1. (CC) gcc options: -lm
Result Confidence
OpenBenchmarking.org Mflops, More Is Better SciMark 2.0 Computational Test: Sparse Matrix Multiply EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 130 260 390 520 650 Min: 582.29 / Avg: 582.51 / Max: 582.76 Min: 580.44 / Avg: 580.57 / Max: 580.73 Min: 622.1 / Avg: 622.28 / Max: 622.38 Min: 582.04 / Avg: 584.53 / Max: 586.08 Min: 583.83 / Avg: 585.04 / Max: 586.49 Min: 603.44 / Avg: 603.65 / Max: 603.83 Min: 576.11 / Avg: 576.35 / Max: 576.62 Min: 612.59 / Avg: 612.93 / Max: 613.4 Min: 611.4 / Avg: 612.9 / Max: 613.87 Min: 612.75 / Avg: 613.29 / Max: 613.69 Min: 612.5 / Avg: 613.09 / Max: 613.41 Min: 573.33 / Avg: 576.87 / Max: 583.91 Min: 619.97 / Avg: 621.71 / Max: 623.15 Min: 602.29 / Avg: 603.18 / Max: 603.86 Min: 601.67 / Avg: 602.54 / Max: 603.13 Min: 602.3 / Avg: 602.9 / Max: 603.4 Min: 610.52 / Avg: 610.69 / Max: 610.88 Min: 706.98 / Avg: 708.7 / Max: 710.23 Min: 711.2 / Avg: 711.31 / Max: 711.44 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 300 600 900 1200 1500 SE +/- 1.00, N = 3 SE +/- 1.20, N = 3 SE +/- 2.60, N = 3 SE +/- 2.60, N = 3 SE +/- 2.19, N = 3 SE +/- 0.67, N = 3 SE +/- 2.19, N = 3 SE +/- 1.20, N = 3 SE +/- 0.67, N = 3 SE +/- 1.76, N = 3 SE +/- 0.58, N = 3 SE +/- 2.73, N = 3 SE +/- 2.40, N = 3 SE +/- 2.03, N = 3 SE +/- 2.33, N = 3 SE +/- 1.53, N = 3 1255 1252 1182 1249 1245 1211 1263 1185 1192 1194 1192 1212 1179 1207 1212 1210 1196 1024 1024 1083
Result Confidence
OpenBenchmarking.org Milliseconds, Fewer Is Better PyBench 2018-02-16 Total For Average Test Times EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 200 400 600 800 1000 Min: 1254 / Avg: 1255 / Max: 1257 Min: 1250 / Avg: 1252.33 / Max: 1254 Min: 1177 / Avg: 1181.67 / Max: 1186 Min: 1244 / Avg: 1248.67 / Max: 1253 Min: 1242 / Avg: 1244.67 / Max: 1249 Min: 1262 / Avg: 1263.33 / Max: 1264 Min: 1181 / Avg: 1185.33 / Max: 1188 Min: 1192 / Avg: 1193.67 / Max: 1196 Min: 1211 / Avg: 1211.67 / Max: 1213 Min: 1204 / Avg: 1207.33 / Max: 1210 Min: 1211 / Avg: 1212 / Max: 1213 Min: 1205 / Avg: 1210.33 / Max: 1214 Min: 1191 / Avg: 1195.67 / Max: 1199 Min: 1021 / Avg: 1024.33 / Max: 1028 Min: 1020 / Avg: 1023.67 / Max: 1028 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 200 400 600 800 1000 SE +/- 3.36, N = 3 SE +/- 0.67, N = 3 SE +/- 1.33, N = 3 SE +/- 0.28, N = 3 SE +/- 0.25, N = 3 SE +/- 0.46, N = 3 SE +/- 2.85, N = 3 SE +/- 0.68, N = 3 SE +/- 1.78, N = 3 SE +/- 2.47, N = 3 SE +/- 1.08, N = 3 SE +/- 1.54, N = 3 SE +/- 3.24, N = 3 SE +/- 0.94, N = 3 SE +/- 1.39, N = 3 SE +/- 2.73, N = 3 SE +/- 3.48, N = 3 SE +/- 3.65, N = 3 SE +/- 2.32, N = 3 SE +/- 5.55, N = 3 835.61 775.92 796.55 798.82 842.39 867.20 796.41 872.05 871.26 872.06 873.70 817.76 881.28 863.06 866.72 856.44 843.29 906.95 956.94 905.21 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 200 400 600 800 1000 Min: 828.89 / Avg: 835.61 / Max: 839 Min: 774.9 / Avg: 775.92 / Max: 777.17 Min: 794.25 / Avg: 796.55 / Max: 798.86 Min: 798.48 / Avg: 798.82 / Max: 799.37 Min: 842.05 / Avg: 842.39 / Max: 842.88 Min: 866.31 / Avg: 867.2 / Max: 867.82 Min: 793.11 / Avg: 796.41 / Max: 802.09 Min: 870.95 / Avg: 872.05 / Max: 873.3 Min: 867.71 / Avg: 871.26 / Max: 873.17 Min: 867.84 / Avg: 872.06 / Max: 876.41 Min: 871.55 / Avg: 873.7 / Max: 874.99 Min: 814.69 / Avg: 817.76 / Max: 819.32 Min: 875.93 / Avg: 881.28 / Max: 887.13 Min: 861.65 / Avg: 863.06 / Max: 864.84 Min: 864.02 / Avg: 866.72 / Max: 868.63 Min: 853.7 / Avg: 856.44 / Max: 861.91 Min: 836.42 / Avg: 843.29 / Max: 847.7 Min: 900.97 / Avg: 906.95 / Max: 913.57 Min: 954.35 / Avg: 956.94 / Max: 961.56 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 0.6809 1.3618 2.0427 2.7236 3.4045 SE +/- 0.004, N = 3 SE +/- 0.004, N = 3 SE +/- 0.001, N = 3 SE +/- 0.007, N = 3 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 SE +/- 0.017, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.006, N = 3 SE +/- 0.005, N = 3 SE +/- 0.004, N = 3 SE +/- 0.002, N = 3 SE +/- 0.004, N = 3 SE +/- 0.005, N = 3 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 SE +/- 0.007, N = 3 SE +/- 0.002, N = 3 2.971 3.004 2.801 2.984 2.967 2.874 3.026 2.836 2.841 2.839 2.836 2.890 2.799 2.884 2.893 2.895 2.858 2.456 2.454 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 2 4 6 8 10 Min: 2.96 / Avg: 2.97 / Max: 2.98 Min: 3 / Avg: 3 / Max: 3.01 Min: 2.8 / Avg: 2.8 / Max: 2.8 Min: 2.97 / Avg: 2.98 / Max: 2.99 Min: 2.97 / Avg: 2.97 / Max: 2.97 Min: 2.87 / Avg: 2.87 / Max: 2.88 Min: 3.01 / Avg: 3.03 / Max: 3.06 Min: 2.84 / Avg: 2.84 / Max: 2.84 Min: 2.84 / Avg: 2.84 / Max: 2.84 Min: 2.83 / Avg: 2.84 / Max: 2.85 Min: 2.83 / Avg: 2.84 / Max: 2.84 Min: 2.88 / Avg: 2.89 / Max: 2.89 Min: 2.8 / Avg: 2.8 / Max: 2.8 Min: 2.88 / Avg: 2.88 / Max: 2.89 Min: 2.89 / Avg: 2.89 / Max: 2.9 Min: 2.89 / Avg: 2.9 / Max: 2.9 Min: 2.86 / Avg: 2.86 / Max: 2.86 Min: 2.45 / Avg: 2.46 / Max: 2.46 Min: 2.45 / Avg: 2.45 / Max: 2.47 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 3 6 9 12 15 SE +/- 0.003, N = 5 SE +/- 0.016, N = 5 SE +/- 0.004, N = 5 SE +/- 0.007, N = 5 SE +/- 0.006, N = 5 SE +/- 0.007, N = 5 SE +/- 0.006, N = 5 SE +/- 0.012, N = 5 SE +/- 0.009, N = 5 SE +/- 0.009, N = 5 SE +/- 0.009, N = 5 SE +/- 0.014, N = 5 SE +/- 0.012, N = 5 SE +/- 0.003, N = 5 SE +/- 0.008, N = 5 SE +/- 0.009, N = 5 SE +/- 0.016, N = 5 SE +/- 0.009, N = 5 SE +/- 0.012, N = 5 SE +/- 0.018, N = 5 10.307 10.419 9.844 10.418 10.303 10.025 10.490 9.899 9.927 9.895 9.890 10.051 9.736 10.008 10.026 10.058 9.931 8.569 8.515 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 3 6 9 12 15 Min: 10.3 / Avg: 10.31 / Max: 10.32 Min: 10.37 / Avg: 10.42 / Max: 10.46 Min: 9.83 / Avg: 9.84 / Max: 9.86 Min: 10.4 / Avg: 10.42 / Max: 10.44 Min: 10.29 / Avg: 10.3 / Max: 10.33 Min: 10.01 / Avg: 10.02 / Max: 10.05 Min: 10.47 / Avg: 10.49 / Max: 10.5 Min: 9.88 / Avg: 9.9 / Max: 9.94 Min: 9.91 / Avg: 9.93 / Max: 9.95 Min: 9.87 / Avg: 9.9 / Max: 9.92 Min: 9.87 / Avg: 9.89 / Max: 9.92 Min: 10.01 / Avg: 10.05 / Max: 10.09 Min: 9.71 / Avg: 9.74 / Max: 9.76 Min: 10 / Avg: 10.01 / Max: 10.02 Min: 10 / Avg: 10.03 / Max: 10.05 Min: 10.03 / Avg: 10.06 / Max: 10.08 Min: 9.88 / Avg: 9.93 / Max: 9.97 Min: 8.55 / Avg: 8.57 / Max: 8.59 Min: 8.49 / Avg: 8.51 / Max: 8.55 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 9 18 27 36 45 SE +/- 0.13, N = 4 SE +/- 0.05, N = 4 SE +/- 0.10, N = 4 SE +/- 0.09, N = 4 SE +/- 0.06, N = 4 SE +/- 0.13, N = 4 SE +/- 0.08, N = 4 SE +/- 0.11, N = 4 SE +/- 0.15, N = 4 SE +/- 0.10, N = 4 SE +/- 0.11, N = 4 SE +/- 0.11, N = 4 SE +/- 0.12, N = 4 SE +/- 0.09, N = 4 SE +/- 0.09, N = 4 SE +/- 0.15, N = 4 SE +/- 0.06, N = 4 SE +/- 0.06, N = 4 SE +/- 0.08, N = 4 SE +/- 0.12, N = 4 37.62 37.97 35.80 37.87 37.56 36.50 38.19 35.88 36.10 36.03 35.97 36.58 35.45 36.45 36.48 36.59 36.01 31.46 31.18 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 8 16 24 32 40 Min: 37.35 / Avg: 37.62 / Max: 37.93 Min: 37.88 / Avg: 37.97 / Max: 38.09 Min: 35.62 / Avg: 35.8 / Max: 36.03 Min: 37.67 / Avg: 37.87 / Max: 38.03 Min: 37.4 / Avg: 37.56 / Max: 37.67 Min: 36.27 / Avg: 36.5 / Max: 36.74 Min: 38.05 / Avg: 38.19 / Max: 38.37 Min: 35.69 / Avg: 35.88 / Max: 36.13 Min: 35.7 / Avg: 36.1 / Max: 36.41 Min: 35.75 / Avg: 36.03 / Max: 36.23 Min: 35.7 / Avg: 35.97 / Max: 36.23 Min: 36.34 / Avg: 36.58 / Max: 36.88 Min: 35.15 / Avg: 35.45 / Max: 35.69 Min: 36.22 / Avg: 36.45 / Max: 36.64 Min: 36.26 / Avg: 36.48 / Max: 36.63 Min: 36.3 / Avg: 36.59 / Max: 36.97 Min: 35.87 / Avg: 36.01 / Max: 36.14 Min: 31.29 / Avg: 31.46 / Max: 31.53 Min: 30.99 / Avg: 31.18 / Max: 31.36 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 20 40 60 80 100 SE +/- 0.19, N = 3 SE +/- 0.24, N = 3 SE +/- 0.15, N = 3 SE +/- 0.20, N = 3 SE +/- 0.19, N = 3 SE +/- 0.03, N = 3 SE +/- 0.72, N = 3 SE +/- 0.16, N = 3 SE +/- 0.21, N = 3 SE +/- 0.13, N = 3 SE +/- 0.17, N = 3 SE +/- 0.18, N = 3 SE +/- 0.20, N = 3 SE +/- 0.12, N = 3 SE +/- 0.11, N = 3 SE +/- 0.13, N = 3 SE +/- 0.42, N = 3 SE +/- 0.29, N = 3 SE +/- 0.11, N = 3 SE +/- 0.56, N = 3 79.62 79.09 75.87 78.93 77.91 76.01 81.08 75.29 75.21 75.41 75.75 77.10 74.19 76.36 76.30 76.75 76.05 66.87 66.32 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 15 30 45 60 75 Min: 79.29 / Avg: 79.62 / Max: 79.94 Min: 78.84 / Avg: 79.09 / Max: 79.56 Min: 75.67 / Avg: 75.86 / Max: 76.15 Min: 78.53 / Avg: 78.93 / Max: 79.21 Min: 77.55 / Avg: 77.91 / Max: 78.17 Min: 75.96 / Avg: 76.01 / Max: 76.07 Min: 79.79 / Avg: 81.08 / Max: 82.29 Min: 75.01 / Avg: 75.29 / Max: 75.56 Min: 74.92 / Avg: 75.21 / Max: 75.61 Min: 75.14 / Avg: 75.41 / Max: 75.56 Min: 75.53 / Avg: 75.75 / Max: 76.08 Min: 76.76 / Avg: 77.1 / Max: 77.4 Min: 73.93 / Avg: 74.19 / Max: 74.6 Min: 76.23 / Avg: 76.36 / Max: 76.6 Min: 76.13 / Avg: 76.3 / Max: 76.49 Min: 76.49 / Avg: 76.75 / Max: 76.94 Min: 75.26 / Avg: 76.05 / Max: 76.72 Min: 66.42 / Avg: 66.87 / Max: 67.4 Min: 66.19 / Avg: 66.32 / Max: 66.53 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 30 60 90 120 150 SE +/- 0.06, N = 3 SE +/- 0.08, N = 3 SE +/- 0.09, N = 3 SE +/- 0.10, N = 3 SE +/- 0.17, N = 3 SE +/- 0.05, N = 3 SE +/- 0.10, N = 3 SE +/- 0.16, N = 3 SE +/- 0.15, N = 3 SE +/- 0.08, N = 3 SE +/- 0.08, N = 3 SE +/- 0.15, N = 3 SE +/- 0.23, N = 3 SE +/- 0.13, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 SE +/- 0.11, N = 3 SE +/- 0.06, N = 3 114.43 115.38 110.01 115.16 114.56 112.07 118.03 110.86 111.18 110.64 110.61 114.07 109.37 112.71 113.44 112.67 111.53 96.57 96.97 102.01
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Cartoon EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 20 40 60 80 100 Min: 114.36 / Avg: 114.42 / Max: 114.54 Min: 115.28 / Avg: 115.38 / Max: 115.54 Min: 109.92 / Avg: 110.01 / Max: 110.18 Min: 114.98 / Avg: 115.16 / Max: 115.31 Min: 114.37 / Avg: 114.56 / Max: 114.9 Min: 112.01 / Avg: 112.07 / Max: 112.17 Min: 117.9 / Avg: 118.03 / Max: 118.22 Min: 110.54 / Avg: 110.86 / Max: 111.04 Min: 111.02 / Avg: 111.18 / Max: 111.49 Min: 110.55 / Avg: 110.64 / Max: 110.81 Min: 110.53 / Avg: 110.61 / Max: 110.77 Min: 113.78 / Avg: 114.07 / Max: 114.27 Min: 109.09 / Avg: 109.37 / Max: 109.82 Min: 112.44 / Avg: 112.71 / Max: 112.84 Min: 113.4 / Avg: 113.44 / Max: 113.5 Min: 112.59 / Avg: 112.67 / Max: 112.75 Min: 111.44 / Avg: 111.53 / Max: 111.59 Min: 96.49 / Avg: 96.57 / Max: 96.7 Min: 96.76 / Avg: 96.97 / Max: 97.13 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 3 6 9 12 15 SE +/- 0.098, N = 3 SE +/- 0.036, N = 3 SE +/- 0.035, N = 3 SE +/- 0.061, N = 3 SE +/- 0.005, N = 3 SE +/- 0.060, N = 3 SE +/- 0.052, N = 3 SE +/- 0.026, N = 3 SE +/- 0.030, N = 3 SE +/- 0.035, N = 3 SE +/- 0.049, N = 3 SE +/- 0.040, N = 3 SE +/- 0.060, N = 3 SE +/- 0.026, N = 3 SE +/- 0.010, N = 3 SE +/- 0.044, N = 3 SE +/- 0.023, N = 3 SE +/- 0.033, N = 3 SE +/- 0.028, N = 3 SE +/- 0.101, N = 7 11.050 10.853 10.680 10.346 10.078 10.153 10.544 9.912 10.039 9.986 9.919 10.581 9.737 10.293 10.338 10.428 10.242 9.165 9.044 9.131
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GIMP 2.10.18 Test: resize EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 3 6 9 12 15 Min: 10.91 / Avg: 11.05 / Max: 11.24 Min: 10.81 / Avg: 10.85 / Max: 10.93 Min: 10.62 / Avg: 10.68 / Max: 10.74 Min: 10.26 / Avg: 10.35 / Max: 10.47 Min: 10.07 / Avg: 10.08 / Max: 10.09 Min: 10.06 / Avg: 10.15 / Max: 10.27 Min: 10.49 / Avg: 10.54 / Max: 10.65 Min: 9.87 / Avg: 9.91 / Max: 9.96 Min: 10 / Avg: 10.04 / Max: 10.1 Min: 9.95 / Avg: 9.99 / Max: 10.06 Min: 9.83 / Avg: 9.92 / Max: 10 Min: 10.53 / Avg: 10.58 / Max: 10.66 Min: 9.65 / Avg: 9.74 / Max: 9.85 Min: 10.24 / Avg: 10.29 / Max: 10.33 Min: 10.32 / Avg: 10.34 / Max: 10.35 Min: 10.34 / Avg: 10.43 / Max: 10.48 Min: 10.2 / Avg: 10.24 / Max: 10.27 Min: 9.11 / Avg: 9.16 / Max: 9.22 Min: 8.99 / Avg: 9.04 / Max: 9.07 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 3 6 9 12 15 SE +/- 0.061, N = 3 SE +/- 0.053, N = 3 SE +/- 0.170, N = 3 SE +/- 0.037, N = 3 SE +/- 0.013, N = 3 SE +/- 0.012, N = 3 SE +/- 0.011, N = 3 SE +/- 0.012, N = 3 SE +/- 0.024, N = 3 SE +/- 0.035, N = 3 SE +/- 0.017, N = 3 SE +/- 0.021, N = 3 SE +/- 0.042, N = 3 SE +/- 0.022, N = 3 SE +/- 0.186, N = 14 SE +/- 0.055, N = 3 SE +/- 0.010, N = 3 SE +/- 0.016, N = 3 SE +/- 0.150, N = 14 SE +/- 0.019, N = 3 12.183 11.885 11.603 11.554 11.296 11.229 11.700 11.030 10.959 10.937 10.873 11.205 10.688 11.100 11.222 10.956 10.765 10.101 9.973 10.122
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Scikit-Learn 0.22.1 EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 4 8 12 16 20 Min: 12.1 / Avg: 12.18 / Max: 12.3 Min: 11.78 / Avg: 11.88 / Max: 11.96 Min: 11.42 / Avg: 11.6 / Max: 11.94 Min: 11.5 / Avg: 11.55 / Max: 11.62 Min: 11.28 / Avg: 11.3 / Max: 11.32 Min: 11.22 / Avg: 11.23 / Max: 11.25 Min: 11.68 / Avg: 11.7 / Max: 11.72 Min: 11.01 / Avg: 11.03 / Max: 11.05 Min: 10.93 / Avg: 10.96 / Max: 11.01 Min: 10.87 / Avg: 10.94 / Max: 11 Min: 10.84 / Avg: 10.87 / Max: 10.89 Min: 11.17 / Avg: 11.21 / Max: 11.24 Min: 10.63 / Avg: 10.69 / Max: 10.77 Min: 11.06 / Avg: 11.1 / Max: 11.13 Min: 10.92 / Avg: 11.22 / Max: 13.63 Min: 10.85 / Avg: 10.96 / Max: 11.03 Min: 10.75 / Avg: 10.77 / Max: 10.78 Min: 10.08 / Avg: 10.1 / Max: 10.13 Min: 9.75 / Avg: 9.97 / Max: 11.92 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 14 28 42 56 70 SE +/- 0.06, N = 3 SE +/- 0.25, N = 3 SE +/- 0.03, N = 3 SE +/- 0.09, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.08, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 SE +/- 0.08, N = 3 SE +/- 0.08, N = 3 SE +/- 0.04, N = 3 SE +/- 0.12, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.11, N = 3 64.55 63.31 60.39 63.00 62.97 61.77 64.22 60.60 60.52 60.73 60.30 61.53 59.68 61.21 61.60 61.64 60.56 53.05 52.99 55.37 1. git version 2.27.0
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Git Time To Complete Common Git Commands EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 13 26 39 52 65 Min: 64.46 / Avg: 64.55 / Max: 64.65 Min: 63 / Avg: 63.31 / Max: 63.81 Min: 60.34 / Avg: 60.39 / Max: 60.45 Min: 62.84 / Avg: 63 / Max: 63.14 Min: 62.89 / Avg: 62.97 / Max: 63.03 Min: 61.7 / Avg: 61.77 / Max: 61.88 Min: 64.09 / Avg: 64.22 / Max: 64.35 Min: 60.49 / Avg: 60.6 / Max: 60.69 Min: 60.5 / Avg: 60.52 / Max: 60.55 Min: 60.63 / Avg: 60.73 / Max: 60.78 Min: 60.19 / Avg: 60.3 / Max: 60.4 Min: 61.41 / Avg: 61.53 / Max: 61.67 Min: 59.54 / Avg: 59.68 / Max: 59.81 Min: 61.13 / Avg: 61.21 / Max: 61.26 Min: 61.36 / Avg: 61.6 / Max: 61.77 Min: 61.63 / Avg: 61.64 / Max: 61.67 Min: 60.52 / Avg: 60.56 / Max: 60.62 Min: 53.01 / Avg: 53.05 / Max: 53.11 Min: 52.87 / Avg: 52.99 / Max: 53.12 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 14 28 42 56 70 SE +/- 0.25, N = 3 SE +/- 0.26, N = 3 SE +/- 0.06, N = 3 SE +/- 0.21, N = 3 SE +/- 0.42, N = 3 SE +/- 0.21, N = 3 SE +/- 0.31, N = 3 SE +/- 0.26, N = 3 SE +/- 0.32, N = 3 SE +/- 0.40, N = 3 SE +/- 0.24, N = 3 SE +/- 0.38, N = 3 SE +/- 0.19, N = 3 SE +/- 0.14, N = 3 SE +/- 0.41, N = 3 SE +/- 0.25, N = 3 SE +/- 0.15, N = 3 SE +/- 0.23, N = 3 SE +/- 0.13, N = 3 SE +/- 0.11, N = 3 60.57 60.35 59.17 56.65 55.77 54.45 56.73 53.10 53.72 53.43 53.39 54.94 52.42 54.53 55.29 54.66 55.13 52.94 50.68 49.73
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Hugin Panorama Photo Assistant + Stitching Time EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 12 24 36 48 60 Min: 60.08 / Avg: 60.57 / Max: 60.83 Min: 60.05 / Avg: 60.35 / Max: 60.87 Min: 59.05 / Avg: 59.17 / Max: 59.24 Min: 56.37 / Avg: 56.65 / Max: 57.07 Min: 55.26 / Avg: 55.77 / Max: 56.6 Min: 54.04 / Avg: 54.45 / Max: 54.69 Min: 56.18 / Avg: 56.73 / Max: 57.24 Min: 52.78 / Avg: 53.1 / Max: 53.6 Min: 53.08 / Avg: 53.72 / Max: 54.09 Min: 52.7 / Avg: 53.43 / Max: 54.09 Min: 52.95 / Avg: 53.39 / Max: 53.77 Min: 54.17 / Avg: 54.94 / Max: 55.32 Min: 52.04 / Avg: 52.42 / Max: 52.67 Min: 54.34 / Avg: 54.53 / Max: 54.81 Min: 54.64 / Avg: 55.28 / Max: 56.05 Min: 54.28 / Avg: 54.66 / Max: 55.14 Min: 54.84 / Avg: 55.13 / Max: 55.35 Min: 52.48 / Avg: 52.94 / Max: 53.18 Min: 50.42 / Avg: 50.68 / Max: 50.83 Min: 49.54 / Avg: 49.72 / Max: 49.93
GEGL GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Scale EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 2 4 6 8 10 SE +/- 0.032, N = 3 SE +/- 0.020, N = 3 SE +/- 0.018, N = 3 SE +/- 0.017, N = 3 SE +/- 0.036, N = 3 SE +/- 0.020, N = 3 SE +/- 0.036, N = 3 SE +/- 0.026, N = 3 SE +/- 0.024, N = 3 SE +/- 0.019, N = 3 SE +/- 0.061, N = 3 SE +/- 0.027, N = 3 SE +/- 0.009, N = 3 SE +/- 0.020, N = 3 SE +/- 0.028, N = 3 SE +/- 0.013, N = 3 SE +/- 0.070, N = 3 SE +/- 0.034, N = 3 SE +/- 0.020, N = 3 SE +/- 0.022, N = 3 7.542 7.665 7.510 7.543 7.432 7.557 8.006 7.444 7.561 7.400 7.394 7.947 7.225 7.654 7.623 7.348 7.349 6.582 6.733 6.957
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Scale EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 3 6 9 12 15 Min: 7.49 / Avg: 7.54 / Max: 7.6 Min: 7.63 / Avg: 7.67 / Max: 7.69 Min: 7.49 / Avg: 7.51 / Max: 7.55 Min: 7.53 / Avg: 7.54 / Max: 7.58 Min: 7.38 / Avg: 7.43 / Max: 7.5 Min: 7.52 / Avg: 7.56 / Max: 7.58 Min: 7.94 / Avg: 8.01 / Max: 8.05 Min: 7.41 / Avg: 7.44 / Max: 7.49 Min: 7.53 / Avg: 7.56 / Max: 7.61 Min: 7.38 / Avg: 7.4 / Max: 7.44 Min: 7.31 / Avg: 7.39 / Max: 7.51 Min: 7.91 / Avg: 7.95 / Max: 8 Min: 7.21 / Avg: 7.23 / Max: 7.24 Min: 7.63 / Avg: 7.65 / Max: 7.69 Min: 7.58 / Avg: 7.62 / Max: 7.68 Min: 7.34 / Avg: 7.35 / Max: 7.37 Min: 7.23 / Avg: 7.35 / Max: 7.47 Min: 6.53 / Avg: 6.58 / Max: 6.65 Min: 6.69 / Avg: 6.73 / Max: 6.75 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 10 20 30 40 50 45.68 45.12 43.34 44.94 45.12 42.72 44.84 42.12 42.80 43.03 42.51 44.09 42.34 43.99 44.33 44.95 45.35 38.56 37.68 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 1200 2400 3600 4800 6000 SE +/- 9.01, N = 3 SE +/- 18.75, N = 3 SE +/- 8.18, N = 3 SE +/- 12.09, N = 3 SE +/- 6.37, N = 3 SE +/- 13.80, N = 3 SE +/- 9.23, N = 3 SE +/- 4.51, N = 3 SE +/- 4.72, N = 3 SE +/- 0.94, N = 3 SE +/- 6.76, N = 3 SE +/- 7.15, N = 3 SE +/- 15.88, N = 3 SE +/- 1.56, N = 3 SE +/- 3.03, N = 3 SE +/- 11.98, N = 3 SE +/- 12.00, N = 3 SE +/- 4.57, N = 3 SE +/- 16.76, N = 3 SE +/- 4.53, N = 3 4732.0 4732.2 5019.6 4772.9 4812.5 4980.0 4728.4 5061.8 5049.7 5061.3 5028.0 5002.8 5108.5 5024.5 5013.4 5040.7 5107.6 5671.4 5705.4 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 1000 2000 3000 4000 5000 Min: 4714.4 / Avg: 4732.03 / Max: 4744.1 Min: 4704 / Avg: 4732.2 / Max: 4767.7 Min: 5010.6 / Avg: 5019.57 / Max: 5035.9 Min: 4749 / Avg: 4772.93 / Max: 4787.9 Min: 4800.8 / Avg: 4812.5 / Max: 4822.7 Min: 4955.2 / Avg: 4980 / Max: 5002.9 Min: 4718 / Avg: 4728.4 / Max: 4746.8 Min: 5055.7 / Avg: 5061.8 / Max: 5070.6 Min: 5044.1 / Avg: 5049.73 / Max: 5059.1 Min: 5059.5 / Avg: 5061.33 / Max: 5062.6 Min: 5017 / Avg: 5027.97 / Max: 5040.3 Min: 4988.8 / Avg: 5002.77 / Max: 5012.4 Min: 5089.3 / Avg: 5108.5 / Max: 5140 Min: 5021.7 / Avg: 5024.5 / Max: 5027.1 Min: 5008.1 / Avg: 5013.37 / Max: 5018.6 Min: 5022.3 / Avg: 5040.73 / Max: 5063.2 Min: 5084 / Avg: 5107.6 / Max: 5123.2 Min: 5662.3 / Avg: 5671.43 / Max: 5676.2 Min: 5672.1 / Avg: 5705.43 / Max: 5725.2 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 8 16 24 32 40 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.15, N = 3 SE +/- 0.06, N = 3 SE +/- 0.05, N = 3 SE +/- 0.10, N = 3 SE +/- 0.08, N = 3 SE +/- 0.16, N = 3 SE +/- 0.10, N = 3 SE +/- 0.04, N = 3 SE +/- 0.17, N = 3 SE +/- 0.19, N = 3 SE +/- 0.06, N = 3 SE +/- 0.20, N = 3 SE +/- 0.07, N = 3 SE +/- 0.13, N = 3 SE +/- 0.09, N = 3 SE +/- 0.07, N = 3 SE +/- 0.01, N = 3 SE +/- 0.09, N = 3 32.43 32.45 30.92 32.22 32.11 31.52 32.65 31.08 31.25 31.07 30.95 31.50 30.73 31.16 31.47 31.36 31.04 27.46 27.06 28.66
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Tesseract OCR 4.1.1 Time To OCR 7 Images EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 7 14 21 28 35 Min: 32.4 / Avg: 32.43 / Max: 32.45 Min: 32.35 / Avg: 32.45 / Max: 32.52 Min: 30.65 / Avg: 30.92 / Max: 31.15 Min: 32.11 / Avg: 32.22 / Max: 32.33 Min: 32.02 / Avg: 32.11 / Max: 32.2 Min: 31.41 / Avg: 31.52 / Max: 31.71 Min: 32.51 / Avg: 32.65 / Max: 32.79 Min: 30.92 / Avg: 31.08 / Max: 31.4 Min: 31.05 / Avg: 31.25 / Max: 31.39 Min: 30.99 / Avg: 31.07 / Max: 31.14 Min: 30.61 / Avg: 30.95 / Max: 31.12 Min: 31.22 / Avg: 31.5 / Max: 31.87 Min: 30.61 / Avg: 30.73 / Max: 30.81 Min: 30.94 / Avg: 31.16 / Max: 31.56 Min: 31.39 / Avg: 31.47 / Max: 31.61 Min: 31.16 / Avg: 31.36 / Max: 31.61 Min: 30.94 / Avg: 31.04 / Max: 31.21 Min: 27.36 / Avg: 27.46 / Max: 27.59 Min: 27.03 / Avg: 27.06 / Max: 27.08 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 11 22 33 44 55 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.10, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 49.86 49.78 47.54 48.84 48.25 47.39 49.58 46.41 46.78 46.44 46.44 48.17 45.72 47.33 47.84 47.17 46.81 41.46 41.35 42.75
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Rotate 90 Degrees EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 10 20 30 40 50 Min: 49.74 / Avg: 49.86 / Max: 50.01 Min: 49.72 / Avg: 49.78 / Max: 49.84 Min: 47.52 / Avg: 47.54 / Max: 47.57 Min: 48.77 / Avg: 48.84 / Max: 48.88 Min: 48.19 / Avg: 48.25 / Max: 48.28 Min: 47.37 / Avg: 47.39 / Max: 47.41 Min: 49.56 / Avg: 49.58 / Max: 49.63 Min: 46.29 / Avg: 46.41 / Max: 46.49 Min: 46.71 / Avg: 46.78 / Max: 46.83 Min: 46.43 / Avg: 46.44 / Max: 46.45 Min: 46.4 / Avg: 46.44 / Max: 46.47 Min: 48.02 / Avg: 48.17 / Max: 48.37 Min: 45.69 / Avg: 45.72 / Max: 45.75 Min: 47.3 / Avg: 47.33 / Max: 47.37 Min: 47.75 / Avg: 47.84 / Max: 47.97 Min: 47.1 / Avg: 47.17 / Max: 47.22 Min: 46.69 / Avg: 46.81 / Max: 46.91 Min: 41.44 / Avg: 41.46 / Max: 41.47 Min: 41.29 / Avg: 41.35 / Max: 41.41 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 9 18 27 36 45 SE +/- 0.42, N = 3 SE +/- 0.35, N = 15 SE +/- 0.48, N = 15 SE +/- 0.44, N = 15 SE +/- 0.05, N = 3 SE +/- 0.13, N = 3 SE +/- 0.35, N = 15 SE +/- 0.58, N = 3 SE +/- 0.90, N = 12 SE +/- 0.63, N = 3 SE +/- 0.48, N = 15 SE +/- 0.27, N = 3 SE +/- 0.25, N = 3 SE +/- 0.39, N = 3 SE +/- 0.27, N = 15 SE +/- 0.14, N = 3 SE +/- 0.44, N = 3 SE +/- 0.49, N = 15 SE +/- 0.23, N = 3 SE +/- 0.20, N = 3 34.67 36.01 38.46 37.04 40.48 35.44 36.46 39.06 39.89 38.35 34.68 38.99 39.86 35.42 34.66 41.08 40.10 34.42 34.69 34.31 1. (CXX) g++ options: -rdynamic
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better ArrayFire 3.7 Test: Conjugate Gradient CPU EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 9 18 27 36 45 Min: 34.08 / Avg: 34.67 / Max: 35.48 Min: 34.31 / Avg: 36.01 / Max: 39.06 Min: 36.04 / Avg: 38.46 / Max: 41.61 Min: 34.83 / Avg: 37.04 / Max: 40.58 Min: 40.41 / Avg: 40.48 / Max: 40.58 Min: 35.25 / Avg: 35.44 / Max: 35.69 Min: 33.78 / Avg: 36.46 / Max: 38.67 Min: 38.24 / Avg: 39.06 / Max: 40.17 Min: 36.69 / Avg: 39.89 / Max: 48.24 Min: 37.1 / Avg: 38.35 / Max: 38.99 Min: 33.32 / Avg: 34.68 / Max: 39.23 Min: 38.52 / Avg: 38.99 / Max: 39.44 Min: 39.35 / Avg: 39.86 / Max: 40.14 Min: 34.79 / Avg: 35.42 / Max: 36.14 Min: 33.09 / Avg: 34.66 / Max: 37.07 Min: 40.94 / Avg: 41.08 / Max: 41.36 Min: 39.24 / Avg: 40.1 / Max: 40.64 Min: 32.46 / Avg: 34.42 / Max: 39.15 Min: 34.28 / Avg: 34.69 / Max: 35.08 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 1500 3000 4500 6000 7500 SE +/- 46.33, N = 3 SE +/- 51.00, N = 3 SE +/- 46.33, N = 3 SE +/- 51.00, N = 3 SE +/- 51.00, N = 3 SE +/- 81.99, N = 3 SE +/- 48.33, N = 3 SE +/- 48.33, N = 3 SE +/- 48.33, N = 3 SE +/- 62.67, N = 3 SE +/- 56.00, N = 3 5859 5952 6199 5813 5906 6097 5813 6097 6199 6097 6148 5954 6250 6097 6049 6049 6049 6756 6881 6522 1. (CC) gcc options: -O3
Result Confidence
OpenBenchmarking.org TPS, More Is Better PostMark 1.51 Disk Transaction Performance EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 1200 2400 3600 4800 6000 Min: 5813 / Avg: 5859.33 / Max: 5952 Min: 6097 / Avg: 6199 / Max: 6250 Min: 5813 / Avg: 5905.67 / Max: 5952 Min: 6097 / Avg: 6199 / Max: 6250 Min: 6097 / Avg: 6148 / Max: 6250 Min: 5813 / Avg: 5954 / Max: 6097 Min: 5952 / Avg: 6048.67 / Max: 6097 Min: 5952 / Avg: 6048.67 / Max: 6097 Min: 5952 / Avg: 6048.67 / Max: 6097 Min: 6756 / Avg: 6881.33 / Max: 6944 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 2 4 6 8 10 SE +/- 0.014, N = 4 SE +/- 0.024, N = 4 SE +/- 0.023, N = 4 SE +/- 0.030, N = 4 SE +/- 0.014, N = 4 SE +/- 0.047, N = 4 SE +/- 0.030, N = 4 SE +/- 0.014, N = 4 SE +/- 0.015, N = 4 SE +/- 0.036, N = 4 SE +/- 0.013, N = 4 SE +/- 0.027, N = 4 SE +/- 0.024, N = 4 SE +/- 0.006, N = 4 SE +/- 0.022, N = 4 SE +/- 0.027, N = 4 SE +/- 0.020, N = 4 SE +/- 0.023, N = 4 SE +/- 0.018, N = 4 SE +/- 0.015, N = 4 7.196 6.991 7.046 6.827 6.792 6.914 6.988 6.629 6.551 6.540 6.593 6.920 6.419 6.635 6.766 6.660 6.563 6.092 6.180 6.174
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Unpacking The Linux Kernel linux-4.15.tar.xz EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 3 6 9 12 15 Min: 7.16 / Avg: 7.2 / Max: 7.22 Min: 6.93 / Avg: 6.99 / Max: 7.03 Min: 7 / Avg: 7.05 / Max: 7.1 Min: 6.77 / Avg: 6.83 / Max: 6.9 Min: 6.75 / Avg: 6.79 / Max: 6.82 Min: 6.83 / Avg: 6.91 / Max: 7.05 Min: 6.94 / Avg: 6.99 / Max: 7.07 Min: 6.59 / Avg: 6.63 / Max: 6.65 Min: 6.53 / Avg: 6.55 / Max: 6.59 Min: 6.46 / Avg: 6.54 / Max: 6.63 Min: 6.57 / Avg: 6.59 / Max: 6.63 Min: 6.87 / Avg: 6.92 / Max: 6.98 Min: 6.35 / Avg: 6.42 / Max: 6.46 Min: 6.63 / Avg: 6.64 / Max: 6.65 Min: 6.73 / Avg: 6.77 / Max: 6.82 Min: 6.59 / Avg: 6.66 / Max: 6.71 Min: 6.52 / Avg: 6.56 / Max: 6.62 Min: 6.04 / Avg: 6.09 / Max: 6.15 Min: 6.14 / Avg: 6.18 / Max: 6.23 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 2 4 6 8 10 SE +/- 0.038, N = 5 SE +/- 0.028, N = 5 SE +/- 0.016, N = 5 SE +/- 0.043, N = 5 SE +/- 0.010, N = 5 SE +/- 0.007, N = 5 SE +/- 0.052, N = 5 SE +/- 0.075, N = 5 SE +/- 0.025, N = 5 SE +/- 0.017, N = 5 SE +/- 0.027, N = 5 SE +/- 0.018, N = 5 SE +/- 0.033, N = 5 SE +/- 0.028, N = 5 SE +/- 0.039, N = 5 SE +/- 0.056, N = 5 SE +/- 0.074, N = 5 SE +/- 0.029, N = 5 SE +/- 0.008, N = 5 SE +/- 0.022, N = 5 8.718 8.529 8.145 8.515 8.439 8.288 8.777 8.357 8.381 8.322 8.313 8.524 8.246 8.579 8.704 8.541 8.674 7.447 7.538 7.982
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GNU Octave Benchmark 5.2.0 EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 3 6 9 12 15 Min: 8.63 / Avg: 8.72 / Max: 8.86 Min: 8.45 / Avg: 8.53 / Max: 8.62 Min: 8.09 / Avg: 8.14 / Max: 8.18 Min: 8.42 / Avg: 8.52 / Max: 8.61 Min: 8.41 / Avg: 8.44 / Max: 8.46 Min: 8.27 / Avg: 8.29 / Max: 8.31 Min: 8.65 / Avg: 8.78 / Max: 8.91 Min: 8.27 / Avg: 8.36 / Max: 8.66 Min: 8.3 / Avg: 8.38 / Max: 8.45 Min: 8.27 / Avg: 8.32 / Max: 8.37 Min: 8.26 / Avg: 8.31 / Max: 8.42 Min: 8.49 / Avg: 8.52 / Max: 8.59 Min: 8.17 / Avg: 8.25 / Max: 8.36 Min: 8.5 / Avg: 8.58 / Max: 8.64 Min: 8.62 / Avg: 8.7 / Max: 8.83 Min: 8.41 / Avg: 8.54 / Max: 8.68 Min: 8.54 / Avg: 8.67 / Max: 8.93 Min: 7.37 / Avg: 7.45 / Max: 7.55 Min: 7.52 / Avg: 7.54 / Max: 7.56 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 80 160 240 320 400 SE +/- 2.73, N = 3 SE +/- 5.31, N = 3 SE +/- 6.72, N = 9 SE +/- 5.65, N = 9 SE +/- 6.11, N = 3 SE +/- 3.87, N = 3 SE +/- 5.13, N = 9 SE +/- 4.99, N = 3 SE +/- 5.74, N = 9 SE +/- 3.41, N = 9 SE +/- 5.14, N = 9 SE +/- 6.20, N = 9 SE +/- 4.91, N = 3 SE +/- 3.70, N = 7 SE +/- 2.49, N = 3 SE +/- 4.71, N = 9 SE +/- 5.38, N = 9 SE +/- 2.60, N = 3 SE +/- 2.59, N = 3 SE +/- 4.69, N = 4 373.08 350.98 366.75 358.64 368.49 379.76 371.18 354.27 339.80 340.22 342.25 357.63 339.35 344.50 356.75 331.29 337.81 344.39 323.23 330.10
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Java Gradle Build Gradle Build: Reactor EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 70 140 210 280 350 Min: 368.67 / Avg: 373.08 / Max: 378.08 Min: 340.37 / Avg: 350.98 / Max: 356.76 Min: 345.02 / Avg: 366.75 / Max: 408.84 Min: 343.49 / Avg: 358.64 / Max: 401.05 Min: 361.79 / Avg: 368.49 / Max: 380.7 Min: 372.45 / Avg: 379.76 / Max: 385.63 Min: 349.96 / Avg: 371.18 / Max: 391.88 Min: 344.4 / Avg: 354.27 / Max: 360.52 Min: 315.08 / Avg: 339.8 / Max: 372.17 Min: 319.89 / Avg: 340.21 / Max: 351.36 Min: 316.71 / Avg: 342.25 / Max: 361.76 Min: 327.79 / Avg: 357.63 / Max: 390.79 Min: 331.61 / Avg: 339.35 / Max: 348.44 Min: 331.32 / Avg: 344.5 / Max: 361.38 Min: 351.87 / Avg: 356.75 / Max: 360.05 Min: 313.98 / Avg: 331.29 / Max: 351.86 Min: 313.22 / Avg: 337.81 / Max: 361.29 Min: 339.25 / Avg: 344.39 / Max: 347.65 Min: 318.18 / Avg: 323.23 / Max: 326.76 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 20 40 60 80 100 SE +/- 0.20, N = 3 SE +/- 0.24, N = 3 SE +/- 0.26, N = 3 SE +/- 0.24, N = 3 SE +/- 0.15, N = 3 SE +/- 0.12, N = 3 SE +/- 0.32, N = 3 SE +/- 0.16, N = 3 SE +/- 0.73, N = 3 SE +/- 0.04, N = 3 SE +/- 0.21, N = 3 SE +/- 0.25, N = 3 SE +/- 0.11, N = 3 SE +/- 0.18, N = 3 SE +/- 0.26, N = 3 SE +/- 0.26, N = 3 SE +/- 0.16, N = 3 SE +/- 0.06, N = 3 SE +/- 0.12, N = 3 SE +/- 0.23, N = 3 82.18 83.99 84.60 81.99 83.08 81.86 82.28 81.57 81.98 81.26 81.52 81.75 80.78 80.39 79.51 79.63 80.03 74.97 73.89 72.53
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better DeepSpeech 0.6 Acceleration: CPU EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 16 32 48 64 80 Min: 81.89 / Avg: 82.18 / Max: 82.56 Min: 83.55 / Avg: 83.99 / Max: 84.36 Min: 84.25 / Avg: 84.6 / Max: 85.12 Min: 81.63 / Avg: 81.99 / Max: 82.45 Min: 82.9 / Avg: 83.08 / Max: 83.37 Min: 81.69 / Avg: 81.86 / Max: 82.1 Min: 81.65 / Avg: 82.28 / Max: 82.63 Min: 81.27 / Avg: 81.57 / Max: 81.78 Min: 81.13 / Avg: 81.98 / Max: 83.42 Min: 81.19 / Avg: 81.26 / Max: 81.33 Min: 81.31 / Avg: 81.52 / Max: 81.94 Min: 81.37 / Avg: 81.75 / Max: 82.23 Min: 80.56 / Avg: 80.78 / Max: 80.91 Min: 80.14 / Avg: 80.39 / Max: 80.74 Min: 79.03 / Avg: 79.51 / Max: 79.93 Min: 79.24 / Avg: 79.63 / Max: 80.11 Min: 79.72 / Avg: 80.03 / Max: 80.26 Min: 74.89 / Avg: 74.97 / Max: 75.09 Min: 73.69 / Avg: 73.89 / Max: 74.1 Min: 72.07 / Avg: 72.53 / Max: 72.82
Mlpack Benchmark Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_svm EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 7 14 21 28 35 SE +/- 0.06, N = 3 SE +/- 0.44, N = 3 SE +/- 0.11, N = 3 SE +/- 0.20, N = 3 SE +/- 0.24, N = 3 SE +/- 0.04, N = 3 SE +/- 0.16, N = 3 SE +/- 0.19, N = 3 SE +/- 0.26, N = 3 SE +/- 0.25, N = 3 SE +/- 0.24, N = 3 SE +/- 0.34, N = 3 SE +/- 0.21, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.11, N = 3 SE +/- 0.04, N = 3 SE +/- 0.18, N = 3 SE +/- 0.24, N = 3 SE +/- 0.30, N = 3 28.16 28.01 28.42 28.50 27.61 28.46 28.71 27.11 27.00 27.19 26.96 27.84 26.57 27.13 26.77 27.09 26.66 25.32 24.76 25.21
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_svm EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 6 12 18 24 30 Min: 28.08 / Avg: 28.16 / Max: 28.28 Min: 27.53 / Avg: 28.01 / Max: 28.9 Min: 28.28 / Avg: 28.42 / Max: 28.64 Min: 28.13 / Avg: 28.5 / Max: 28.83 Min: 27.34 / Avg: 27.61 / Max: 28.08 Min: 28.39 / Avg: 28.46 / Max: 28.52 Min: 28.39 / Avg: 28.71 / Max: 28.87 Min: 26.81 / Avg: 27.11 / Max: 27.46 Min: 26.69 / Avg: 27 / Max: 27.52 Min: 26.69 / Avg: 27.19 / Max: 27.46 Min: 26.7 / Avg: 26.96 / Max: 27.44 Min: 27.29 / Avg: 27.84 / Max: 28.45 Min: 26.21 / Avg: 26.57 / Max: 26.95 Min: 27.12 / Avg: 27.13 / Max: 27.15 Min: 26.73 / Avg: 26.77 / Max: 26.81 Min: 26.96 / Avg: 27.09 / Max: 27.3 Min: 26.6 / Avg: 26.66 / Max: 26.73 Min: 24.99 / Avg: 25.32 / Max: 25.62 Min: 24.28 / Avg: 24.76 / Max: 25.03 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 70 140 210 280 350 SE +/- 0.65, N = 3 SE +/- 1.33, N = 3 SE +/- 0.21, N = 3 SE +/- 2.14, N = 3 SE +/- 0.81, N = 3 SE +/- 0.59, N = 3 SE +/- 0.34, N = 3 SE +/- 0.15, N = 3 SE +/- 0.43, N = 3 SE +/- 0.73, N = 3 SE +/- 0.67, N = 3 SE +/- 0.89, N = 3 SE +/- 0.56, N = 3 SE +/- 0.73, N = 3 SE +/- 1.49, N = 3 SE +/- 0.69, N = 3 SE +/- 0.89, N = 3 SE +/- 0.50, N = 3 SE +/- 0.78, N = 3 SE +/- 0.66, N = 3 323.28 330.05 335.95 316.06 312.18 329.31 337.30 327.87 325.66 328.27 325.26 334.67 323.34 336.45 337.00 339.37 336.92 308.52 298.47 295.26
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better WireGuard + Linux Networking Stack Stress Test EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 60 120 180 240 300 Min: 322.49 / Avg: 323.28 / Max: 324.58 Min: 328.14 / Avg: 330.05 / Max: 332.6 Min: 335.53 / Avg: 335.95 / Max: 336.24 Min: 312.44 / Avg: 316.06 / Max: 319.84 Min: 310.68 / Avg: 312.18 / Max: 313.44 Min: 328.38 / Avg: 329.31 / Max: 330.4 Min: 336.62 / Avg: 337.3 / Max: 337.69 Min: 327.57 / Avg: 327.87 / Max: 328.02 Min: 324.97 / Avg: 325.66 / Max: 326.46 Min: 327.19 / Avg: 328.27 / Max: 329.67 Min: 324.12 / Avg: 325.26 / Max: 326.43 Min: 332.93 / Avg: 334.67 / Max: 335.9 Min: 322.33 / Avg: 323.34 / Max: 324.28 Min: 335.49 / Avg: 336.45 / Max: 337.89 Min: 335.1 / Avg: 337 / Max: 339.94 Min: 338.14 / Avg: 339.37 / Max: 340.54 Min: 335.33 / Avg: 336.92 / Max: 338.41 Min: 307.64 / Avg: 308.52 / Max: 309.36 Min: 297.17 / Avg: 298.47 / Max: 299.86 Min: 294.29 / Avg: 295.26 / Max: 296.51
KeyDB A benchmark of KeyDB as a multi-threaded fork of the Redis server. The KeyDB benchmark is conducted using memtier-benchmark. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Ops/sec, More Is Better KeyDB 6.0.16 EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 90K 180K 270K 360K 450K SE +/- 866.86, N = 3 SE +/- 464.04, N = 3 SE +/- 238.26, N = 3 SE +/- 245.66, N = 3 SE +/- 5702.08, N = 3 SE +/- 163.65, N = 3 SE +/- 1968.81, N = 3 SE +/- 1405.58, N = 3 SE +/- 1062.02, N = 3 SE +/- 649.38, N = 3 SE +/- 1851.69, N = 3 SE +/- 775.34, N = 3 SE +/- 894.11, N = 3 SE +/- 4342.59, N = 7 SE +/- 624.20, N = 3 SE +/- 4239.95, N = 3 SE +/- 3410.42, N = 3 SE +/- 1594.87, N = 3 SE +/- 228.49, N = 3 SE +/- 3714.55, N = 3 392896.66 392714.19 386383.91 406178.39 396399.81 395467.10 388111.09 401582.89 409267.14 407869.99 407511.61 392401.63 412566.04 388353.93 381667.96 378118.38 375509.38 414532.34 424009.46 429753.65 1. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
Result Confidence
OpenBenchmarking.org Ops/sec, More Is Better KeyDB 6.0.16 EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 70K 140K 210K 280K 350K Min: 391575.63 / Avg: 392896.66 / Max: 394529.54 Min: 391930.7 / Avg: 392714.19 / Max: 393536.77 Min: 386087.82 / Avg: 386383.91 / Max: 386855.3 Min: 405819.18 / Avg: 406178.39 / Max: 406648.29 Min: 386344.47 / Avg: 396399.81 / Max: 406086.74 Min: 395226.4 / Avg: 395467.1 / Max: 395779.53 Min: 384323.04 / Avg: 388111.09 / Max: 390936.05 Min: 399456.17 / Avg: 401582.89 / Max: 404238.35 Min: 407505.43 / Avg: 409267.14 / Max: 411175.58 Min: 406670.05 / Avg: 407869.99 / Max: 408900.3 Min: 404800.22 / Avg: 407511.61 / Max: 411051.91 Min: 390868.32 / Avg: 392401.63 / Max: 393368.67 Min: 411317.97 / Avg: 412566.04 / Max: 414299.14 Min: 375060.11 / Avg: 388353.93 / Max: 407696.35 Min: 380946.41 / Avg: 381667.96 / Max: 382911 Min: 369640.72 / Avg: 378118.38 / Max: 382526.37 Min: 369830.03 / Avg: 375509.38 / Max: 381620.4 Min: 411360.53 / Avg: 414532.34 / Max: 416410.71 Min: 423604.94 / Avg: 424009.46 / Max: 424395.83 Min: 422340.89 / Avg: 429753.65 / Max: 433886.45 1. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
Polyhedron Fortran Benchmarks The Fortran.uk Polyhedron Fortran Benchmarks for comparing Fortran compiler performance. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Polyhedron Fortran Benchmarks Benchmark: linpk EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 0.819 1.638 2.457 3.276 4.095 3.64 3.40 3.29 3.37 3.35 3.36 3.42 3.35 3.36 3.34 3.34 3.42 3.34 3.41 3.38 3.42 3.36 3.20 3.26 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 300 600 900 1200 1500 SE +/- 10.23, N = 3 SE +/- 2.85, N = 6 SE +/- 2.40, N = 3 SE +/- 3.19, N = 8 SE +/- 7.74, N = 3 SE +/- 5.32, N = 3 SE +/- 10.99, N = 3 SE +/- 13.63, N = 3 SE +/- 4.02, N = 3 SE +/- 3.37, N = 3 SE +/- 6.68, N = 3 SE +/- 1.74, N = 3 SE +/- 2.27, N = 4 SE +/- 5.24, N = 3 SE +/- 4.79, N = 3 SE +/- 4.53, N = 3 SE +/- 1.57, N = 3 SE +/- 4.00, N = 3 SE +/- 0.89, N = 3 SE +/- 4.02, N = 4 1380.05 1383.61 1373.93 1404.94 1414.50 1384.18 1367.38 1381.42 1371.83 1374.08 1388.23 1376.68 1375.99 1375.56 1366.25 1364.10 1368.83 1428.03 1441.84 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 300 600 900 1200 1500 Min: 1360.55 / Avg: 1380.05 / Max: 1395.18 Min: 1374.16 / Avg: 1383.61 / Max: 1393.03 Min: 1369.63 / Avg: 1373.93 / Max: 1377.93 Min: 1389.1 / Avg: 1404.94 / Max: 1417.09 Min: 1399.32 / Avg: 1414.5 / Max: 1424.68 Min: 1377.73 / Avg: 1384.18 / Max: 1394.73 Min: 1350.9 / Avg: 1367.38 / Max: 1388.21 Min: 1362.62 / Avg: 1381.42 / Max: 1407.92 Min: 1366.21 / Avg: 1371.83 / Max: 1379.62 Min: 1367.62 / Avg: 1374.08 / Max: 1378.99 Min: 1377.18 / Avg: 1388.23 / Max: 1400.25 Min: 1374.18 / Avg: 1376.68 / Max: 1380.03 Min: 1371.46 / Avg: 1375.99 / Max: 1382.01 Min: 1365.53 / Avg: 1375.56 / Max: 1383.22 Min: 1359.5 / Avg: 1366.25 / Max: 1375.51 Min: 1358.12 / Avg: 1364.1 / Max: 1372.98 Min: 1365.99 / Avg: 1368.83 / Max: 1371.39 Min: 1421.68 / Avg: 1428.03 / Max: 1435.43 Min: 1440.07 / Avg: 1441.84 / Max: 1442.9 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 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7352 EPYC 7452 EPYC 7502 EPYC 7532 EPYC 7542 EPYC 7F52 4 8 12 16 20 SE +/- 0.099, N = 12 SE +/- 0.113, N = 15 SE +/- 0.119, N = 15 SE +/- 0.094, N = 3 SE +/- 0.106, N = 8 SE +/- 0.271, N = 14 SE +/- 0.168, N = 3 SE +/- 0.103, N = 15 SE +/- 0.264, N = 15 SE +/- 0.041, N = 3 4.118 4.288 5.854 7.218 10.132 14.569 13.535 13.605 14.359 8.892 1. (CXX) g++ options: -O3 -pthread -lm
Result Confidence
OpenBenchmarking.org ns/day, More Is Better LAMMPS Molecular Dynamics Simulator 29Oct2020 Model: Rhodopsin Protein EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7352 EPYC 7452 EPYC 7502 EPYC 7532 EPYC 7542 EPYC 7F52 4 8 12 16 20 Min: 3.78 / Avg: 4.12 / Max: 4.65 Min: 4 / Avg: 4.29 / Max: 5.54 Min: 5.46 / Avg: 5.85 / Max: 7.34 Min: 7.06 / Avg: 7.22 / Max: 7.39 Min: 9.86 / Avg: 10.13 / Max: 10.7 Min: 12.88 / Avg: 14.57 / Max: 16.27 Min: 13.28 / Avg: 13.53 / Max: 13.85 Min: 13.17 / Avg: 13.6 / Max: 14.89 Min: 13.64 / Avg: 14.36 / Max: 16.59 Min: 8.83 / Avg: 8.89 / Max: 8.97 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 0.3528 0.7056 1.0584 1.4112 1.764 SE +/- 0.028, N = 15 SE +/- 0.029, N = 15 SE +/- 0.032, N = 12 SE +/- 0.021, N = 15 SE +/- 0.011, N = 6 SE +/- 0.013, N = 15 SE +/- 0.009, N = 15 SE +/- 0.008, N = 15 SE +/- 0.008, N = 3 SE +/- 0.009, N = 3 SE +/- 0.004, N = 3 SE +/- 0.009, N = 3 SE +/- 0.008, N = 15 SE +/- 0.007, N = 15 SE +/- 0.007, N = 15 SE +/- 0.007, N = 3 SE +/- 0.009, N = 4 SE +/- 0.021, N = 15 SE +/- 0.014, N = 15 SE +/- 0.009, N = 15 1.560 1.567 1.568 1.123 0.920 0.932 0.801 0.753 0.686 0.688 0.688 0.721 0.655 0.653 0.644 0.701 0.682 1.421 0.862 0.699
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Sunflow Rendering System 0.07.2 Global Illumination + Image Synthesis EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 2 4 6 8 10 Min: 1.4 / Avg: 1.56 / Max: 1.76 Min: 1.41 / Avg: 1.57 / Max: 1.82 Min: 1.43 / Avg: 1.57 / Max: 1.86 Min: 1.04 / Avg: 1.12 / Max: 1.3 Min: 0.88 / Avg: 0.92 / Max: 0.95 Min: 0.81 / Avg: 0.93 / Max: 1.03 Min: 0.75 / Avg: 0.8 / Max: 0.87 Min: 0.7 / Avg: 0.75 / Max: 0.81 Min: 0.67 / Avg: 0.69 / Max: 0.69 Min: 0.67 / Avg: 0.69 / Max: 0.7 Min: 0.68 / Avg: 0.69 / Max: 0.69 Min: 0.7 / Avg: 0.72 / Max: 0.73 Min: 0.61 / Avg: 0.65 / Max: 0.71 Min: 0.6 / Avg: 0.65 / Max: 0.71 Min: 0.6 / Avg: 0.64 / Max: 0.69 Min: 0.69 / Avg: 0.7 / Max: 0.72 Min: 0.66 / Avg: 0.68 / Max: 0.7 Min: 1.29 / Avg: 1.42 / Max: 1.6 Min: 0.74 / Avg: 0.86 / Max: 0.93 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 3 6 9 12 15 SE +/- 0.04, N = 4 SE +/- 0.13, N = 15 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 15 SE +/- 0.02, N = 3 SE +/- 0.08, N = 3 SE +/- 0.07, N = 12 SE +/- 0.17, N = 3 SE +/- 0.17, N = 3 SE +/- 0.01, N = 8 SE +/- 0.42, N = 3 SE +/- 0.31, N = 3 SE +/- 0.34, N = 3 SE +/- 0.47, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 10 SE +/- 0.07, N = 3 3.20 3.30 3.19 3.35 3.12 3.67 4.31 3.66 4.23 4.30 4.32 5.02 4.07 6.33 6.43 7.84 9.78 2.96 3.65 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 3 6 9 12 15 Min: 3.1 / Avg: 3.2 / Max: 3.26 Min: 3.04 / Avg: 3.3 / Max: 5.02 Min: 3.17 / Avg: 3.19 / Max: 3.22 Min: 3.25 / Avg: 3.35 / Max: 3.41 Min: 3.1 / Avg: 3.12 / Max: 3.15 Min: 3.63 / Avg: 3.67 / Max: 3.69 Min: 4.19 / Avg: 4.31 / Max: 4.63 Min: 3.64 / Avg: 3.66 / Max: 3.7 Min: 4.14 / Avg: 4.23 / Max: 4.39 Min: 4.06 / Avg: 4.3 / Max: 4.68 Min: 4.05 / Avg: 4.32 / Max: 4.63 Min: 4.8 / Avg: 5.02 / Max: 5.35 Min: 4.04 / Avg: 4.07 / Max: 4.1 Min: 5.76 / Avg: 6.33 / Max: 7.16 Min: 5.83 / Avg: 6.43 / Max: 6.88 Min: 7.38 / Avg: 7.84 / Max: 8.51 Min: 8.84 / Avg: 9.78 / Max: 10.35 Min: 2.93 / Avg: 2.96 / Max: 3.01 Min: 3.46 / Avg: 3.65 / Max: 3.97 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 7 14 21 28 35 SE +/- 0.07, N = 4 SE +/- 0.11, N = 15 SE +/- 0.08, N = 3 SE +/- 0.14, N = 3 SE +/- 0.06, N = 3 SE +/- 0.14, N = 3 SE +/- 0.10, N = 15 SE +/- 0.02, N = 3 SE +/- 0.35, N = 3 SE +/- 0.25, N = 12 SE +/- 0.53, N = 3 SE +/- 0.41, N = 3 SE +/- 0.13, N = 8 SE +/- 1.64, N = 3 SE +/- 0.32, N = 3 SE +/- 1.57, N = 3 SE +/- 1.87, N = 3 SE +/- 0.13, N = 3 SE +/- 0.06, N = 10 SE +/- 0.08, N = 3 12.46 11.81 11.02 11.30 9.20 11.06 13.17 10.67 12.62 13.03 12.96 15.71 12.12 19.71 19.15 25.61 31.36 10.32 11.13 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 7 14 21 28 35 Min: 12.33 / Avg: 12.46 / Max: 12.67 Min: 11.3 / Avg: 11.81 / Max: 12.57 Min: 10.9 / Avg: 11.02 / Max: 11.16 Min: 11.05 / Avg: 11.3 / Max: 11.55 Min: 9.12 / Avg: 9.2 / Max: 9.32 Min: 10.85 / Avg: 11.06 / Max: 11.34 Min: 12.46 / Avg: 13.17 / Max: 13.76 Min: 10.65 / Avg: 10.67 / Max: 10.72 Min: 12.23 / Avg: 12.62 / Max: 13.31 Min: 11.97 / Avg: 13.03 / Max: 14.35 Min: 11.95 / Avg: 12.96 / Max: 13.73 Min: 15.22 / Avg: 15.71 / Max: 16.53 Min: 11.88 / Avg: 12.12 / Max: 12.99 Min: 17.57 / Avg: 19.71 / Max: 22.93 Min: 18.51 / Avg: 19.15 / Max: 19.55 Min: 23.45 / Avg: 25.61 / Max: 28.65 Min: 28.68 / Avg: 31.36 / Max: 34.96 Min: 10.15 / Avg: 10.32 / Max: 10.58 Min: 10.85 / Avg: 11.13 / Max: 11.43 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 6 12 18 24 30 SE +/- 0.03, N = 4 SE +/- 0.10, N = 15 SE +/- 0.09, N = 3 SE +/- 0.11, N = 3 SE +/- 0.06, N = 3 SE +/- 0.25, N = 3 SE +/- 0.10, N = 15 SE +/- 0.06, N = 3 SE +/- 0.15, N = 3 SE +/- 0.18, N = 12 SE +/- 0.32, N = 2 SE +/- 0.46, N = 3 SE +/- 0.17, N = 8 SE +/- 1.60, N = 3 SE +/- 0.20, N = 3 SE +/- 2.95, N = 3 SE +/- 1.69, N = 3 SE +/- 0.14, N = 3 SE +/- 0.06, N = 10 SE +/- 0.15, N = 3 8.49 8.10 7.81 7.71 6.84 8.10 9.83 8.13 9.41 9.98 9.35 11.63 9.34 17.06 15.02 21.46 26.02 7.30 8.49 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 6 12 18 24 30 Min: 8.4 / Avg: 8.49 / Max: 8.54 Min: 7.49 / Avg: 8.1 / Max: 8.71 Min: 7.63 / Avg: 7.81 / Max: 7.92 Min: 7.5 / Avg: 7.71 / Max: 7.87 Min: 6.76 / Avg: 6.84 / Max: 6.95 Min: 7.62 / Avg: 8.1 / Max: 8.48 Min: 9.41 / Avg: 9.83 / Max: 10.84 Min: 8.03 / Avg: 8.13 / Max: 8.25 Min: 9.22 / Avg: 9.41 / Max: 9.71 Min: 9.11 / Avg: 9.98 / Max: 10.92 Min: 9.03 / Avg: 9.35 / Max: 9.66 Min: 11.07 / Avg: 11.63 / Max: 12.54 Min: 8.9 / Avg: 9.34 / Max: 10.14 Min: 14.96 / Avg: 17.06 / Max: 20.19 Min: 14.65 / Avg: 15.02 / Max: 15.34 Min: 17.43 / Avg: 21.46 / Max: 27.22 Min: 22.65 / Avg: 26.02 / Max: 27.89 Min: 7.08 / Avg: 7.3 / Max: 7.55 Min: 8.21 / Avg: 8.49 / Max: 8.76 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 6 12 18 24 30 SE +/- 0.17, N = 4 SE +/- 0.06, N = 15 SE +/- 0.10, N = 3 SE +/- 0.30, N = 2 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.10, N = 15 SE +/- 0.10, N = 3 SE +/- 0.17, N = 3 SE +/- 0.18, N = 12 SE +/- 0.91, N = 3 SE +/- 0.97, N = 3 SE +/- 0.13, N = 8 SE +/- 0.98, N = 3 SE +/- 0.92, N = 3 SE +/- 1.73, N = 3 SE +/- 2.54, N = 3 SE +/- 0.01, N = 2 SE +/- 0.18, N = 10 SE +/- 0.02, N = 3 8.36 8.16 8.60 8.60 8.03 9.14 10.84 9.09 10.28 11.15 10.96 14.43 10.48 18.38 16.83 21.77 25.16 7.76 9.53 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 6 12 18 24 30 Min: 7.94 / Avg: 8.36 / Max: 8.69 Min: 7.92 / Avg: 8.16 / Max: 8.77 Min: 8.43 / Avg: 8.6 / Max: 8.76 Min: 8.3 / Avg: 8.6 / Max: 8.89 Min: 7.98 / Avg: 8.03 / Max: 8.07 Min: 9.03 / Avg: 9.14 / Max: 9.27 Min: 10.18 / Avg: 10.84 / Max: 11.53 Min: 8.92 / Avg: 9.09 / Max: 9.27 Min: 9.94 / Avg: 10.28 / Max: 10.48 Min: 10.02 / Avg: 11.15 / Max: 11.93 Min: 9.99 / Avg: 10.96 / Max: 12.79 Min: 12.87 / Avg: 14.43 / Max: 16.2 Min: 9.97 / Avg: 10.48 / Max: 11.14 Min: 16.55 / Avg: 18.38 / Max: 19.89 Min: 15.43 / Avg: 16.83 / Max: 18.57 Min: 19.2 / Avg: 21.77 / Max: 25.06 Min: 21.38 / Avg: 25.16 / Max: 30 Min: 7.75 / Avg: 7.76 / Max: 7.77 Min: 8.94 / Avg: 9.53 / Max: 10.51 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 6 12 18 24 30 SE +/- 0.14, N = 4 SE +/- 0.08, N = 15 SE +/- 0.02, N = 3 SE +/- 0.13, N = 3 SE +/- 0.07, N = 3 SE +/- 0.04, N = 3 SE +/- 0.07, N = 15 SE +/- 0.07, N = 3 SE +/- 0.08, N = 3 SE +/- 0.19, N = 12 SE +/- 0.65, N = 3 SE +/- 0.36, N = 3 SE +/- 0.12, N = 8 SE +/- 1.62, N = 3 SE +/- 0.33, N = 3 SE +/- 2.05, N = 3 SE +/- 1.63, N = 3 SE +/- 0.09, N = 3 SE +/- 0.11, N = 10 SE +/- 0.02, N = 3 8.97 8.18 7.99 8.19 7.49 8.63 10.21 8.47 9.98 10.55 10.49 12.08 9.81 15.95 15.40 21.05 27.15 7.42 8.90 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 6 12 18 24 30 Min: 8.58 / Avg: 8.97 / Max: 9.25 Min: 7.84 / Avg: 8.18 / Max: 8.92 Min: 7.96 / Avg: 7.99 / Max: 8.03 Min: 8.03 / Avg: 8.19 / Max: 8.44 Min: 7.39 / Avg: 7.49 / Max: 7.62 Min: 8.59 / Avg: 8.63 / Max: 8.7 Min: 9.69 / Avg: 10.21 / Max: 10.69 Min: 8.35 / Avg: 8.47 / Max: 8.59 Min: 9.84 / Avg: 9.98 / Max: 10.1 Min: 9.71 / Avg: 10.55 / Max: 11.45 Min: 9.56 / Avg: 10.49 / Max: 11.73 Min: 11.64 / Avg: 12.08 / Max: 12.79 Min: 9.46 / Avg: 9.81 / Max: 10.52 Min: 13.9 / Avg: 15.95 / Max: 19.15 Min: 14.75 / Avg: 15.4 / Max: 15.81 Min: 18.92 / Avg: 21.05 / Max: 25.14 Min: 24.31 / Avg: 27.15 / Max: 29.96 Min: 7.29 / Avg: 7.42 / Max: 7.6 Min: 8.5 / Avg: 8.9 / Max: 9.63 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 6 12 18 24 30 SE +/- 0.09, N = 4 SE +/- 0.09, N = 15 SE +/- 0.15, N = 3 SE +/- 0.13, N = 3 SE +/- 0.08, N = 3 SE +/- 0.29, N = 3 SE +/- 0.11, N = 15 SE +/- 0.26, N = 3 SE +/- 0.02, N = 3 SE +/- 0.19, N = 12 SE +/- 0.49, N = 3 SE +/- 0.33, N = 3 SE +/- 0.11, N = 8 SE +/- 1.97, N = 3 SE +/- 0.63, N = 3 SE +/- 3.02, N = 3 SE +/- 1.38, N = 3 SE +/- 0.36, N = 3 SE +/- 3.21, N = 10 SE +/- 0.21, N = 3 9.32 8.96 9.07 8.66 7.77 9.12 10.64 9.01 10.31 10.61 10.75 12.63 10.07 16.41 16.18 22.90 26.55 8.29 12.40 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 6 12 18 24 30 Min: 9.17 / Avg: 9.32 / Max: 9.52 Min: 8.64 / Avg: 8.96 / Max: 9.88 Min: 8.9 / Avg: 9.07 / Max: 9.37 Min: 8.51 / Avg: 8.66 / Max: 8.91 Min: 7.68 / Avg: 7.77 / Max: 7.94 Min: 8.6 / Avg: 9.12 / Max: 9.61 Min: 10.08 / Avg: 10.64 / Max: 11.35 Min: 8.53 / Avg: 9.01 / Max: 9.42 Min: 10.28 / Avg: 10.31 / Max: 10.33 Min: 9.95 / Avg: 10.61 / Max: 11.74 Min: 9.87 / Avg: 10.75 / Max: 11.57 Min: 12.01 / Avg: 12.63 / Max: 13.15 Min: 9.82 / Avg: 10.07 / Max: 10.75 Min: 14.24 / Avg: 16.41 / Max: 20.35 Min: 15.13 / Avg: 16.18 / Max: 17.32 Min: 18.49 / Avg: 22.9 / Max: 28.67 Min: 24.45 / Avg: 26.55 / Max: 29.15 Min: 7.87 / Avg: 8.29 / Max: 9 Min: 8.85 / Avg: 12.4 / Max: 41.24 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 3 6 9 12 15 SE +/- 0.174, N = 12 SE +/- 0.125, N = 3 SE +/- 0.100, N = 3 SE +/- 0.168, N = 12 SE +/- 0.144, N = 3 SE +/- 0.201, N = 3 SE +/- 0.130, N = 15 SE +/- 0.122, N = 15 SE +/- 0.188, N = 15 SE +/- 0.301, N = 12 SE +/- 0.050, N = 3 SE +/- 0.175, N = 15 SE +/- 0.188, N = 12 SE +/- 0.300, N = 15 SE +/- 0.145, N = 3 SE +/- 0.188, N = 15 SE +/- 0.244, N = 12 SE +/- 0.082, N = 3 SE +/- 0.377, N = 15 SE +/- 0.263, N = 15 11.859 11.582 11.122 12.611 10.345 11.608 10.433 10.000 9.113 9.300 9.489 10.073 8.802 10.125 9.173 10.048 10.193 10.034 11.454 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 4 8 12 16 20 Min: 10.97 / Avg: 11.86 / Max: 13.05 Min: 11.4 / Avg: 11.58 / Max: 11.82 Min: 10.97 / Avg: 11.12 / Max: 11.31 Min: 11.71 / Avg: 12.61 / Max: 13.62 Min: 10.08 / Avg: 10.34 / Max: 10.57 Min: 11.21 / Avg: 11.61 / Max: 11.81 Min: 9.2 / Avg: 10.43 / Max: 11.2 Min: 9.38 / Avg: 10 / Max: 10.74 Min: 8.35 / Avg: 9.11 / Max: 11.28 Min: 8.31 / Avg: 9.3 / Max: 11.87 Min: 9.42 / Avg: 9.49 / Max: 9.59 Min: 9.24 / Avg: 10.07 / Max: 11.28 Min: 7.85 / Avg: 8.8 / Max: 10.38 Min: 8.73 / Avg: 10.12 / Max: 12.48 Min: 8.88 / Avg: 9.17 / Max: 9.33 Min: 8.94 / Avg: 10.05 / Max: 11.4 Min: 9.1 / Avg: 10.19 / Max: 11.94 Min: 9.93 / Avg: 10.03 / Max: 10.2 Min: 9.93 / Avg: 11.45 / Max: 15.85 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 12 24 36 48 60 SE +/- 0.86, N = 15 SE +/- 0.72, N = 12 SE +/- 0.95, N = 12 SE +/- 0.79, N = 12 SE +/- 0.51, N = 3 SE +/- 1.19, N = 12 SE +/- 0.99, N = 15 SE +/- 0.28, N = 3 SE +/- 0.77, N = 15 SE +/- 0.74, N = 15 SE +/- 0.99, N = 15 SE +/- 1.01, N = 12 SE +/- 1.07, N = 15 SE +/- 0.76, N = 15 SE +/- 0.56, N = 8 SE +/- 1.58, N = 15 SE +/- 1.36, N = 12 SE +/- 0.30, N = 3 SE +/- 0.92, N = 15 SE +/- 0.71, N = 5 44.50 19.77 23.24 23.41 29.72 34.01 37.54 42.09 45.93 46.84 47.32 52.64 47.18 52.98 54.44 42.79 47.28 28.22 44.35 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 11 22 33 44 55 Min: 39.8 / Avg: 44.5 / Max: 49.5 Min: 17.06 / Avg: 19.77 / Max: 25.36 Min: 19.86 / Avg: 23.24 / Max: 30.23 Min: 20.23 / Avg: 23.41 / Max: 28.7 Min: 28.72 / Avg: 29.72 / Max: 30.36 Min: 26.12 / Avg: 34.01 / Max: 42.02 Min: 29.32 / Avg: 37.54 / Max: 42.21 Min: 41.72 / Avg: 42.09 / Max: 42.65 Min: 40.11 / Avg: 45.93 / Max: 50.14 Min: 42.17 / Avg: 46.84 / Max: 52.54 Min: 37.01 / Avg: 47.32 / Max: 53.3 Min: 47.11 / Avg: 52.64 / Max: 58.36 Min: 38.21 / Avg: 47.18 / Max: 52.07 Min: 48.06 / Avg: 52.98 / Max: 58.56 Min: 52.63 / Avg: 54.44 / Max: 57.73 Min: 35.13 / Avg: 42.79 / Max: 56.7 Min: 41.69 / Avg: 47.28 / Max: 59.34 Min: 27.66 / Avg: 28.22 / Max: 28.7 Min: 38.89 / Avg: 44.35 / Max: 51.16 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 30 60 90 120 150 SE +/- 1.60, N = 6 SE +/- 0.62, N = 3 SE +/- 0.72, N = 3 SE +/- 1.73, N = 5 SE +/- 1.88, N = 3 SE +/- 1.17, N = 15 SE +/- 1.63, N = 3 SE +/- 2.01, N = 15 SE +/- 1.33, N = 15 SE +/- 1.65, N = 3 SE +/- 2.71, N = 15 SE +/- 2.07, N = 15 SE +/- 2.61, N = 15 SE +/- 2.47, N = 15 SE +/- 2.47, N = 15 SE +/- 1.98, N = 15 SE +/- 2.83, N = 15 SE +/- 1.93, N = 3 SE +/- 0.86, N = 3 SE +/- 1.58, N = 3 140.05 133.66 151.17 135.07 124.81 138.33 141.08 144.79 138.20 136.46 141.89 146.03 141.16 139.95 143.36 138.60 138.78 125.79 107.63 110.51 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 30 60 90 120 150 Min: 135.25 / Avg: 140.05 / Max: 146.18 Min: 132.72 / Avg: 133.66 / Max: 134.82 Min: 149.88 / Avg: 151.17 / Max: 152.37 Min: 129.68 / Avg: 135.07 / Max: 138.4 Min: 121.19 / Avg: 124.81 / Max: 127.53 Min: 130.88 / Avg: 138.33 / Max: 148.14 Min: 138.87 / Avg: 141.08 / Max: 144.27 Min: 133.15 / Avg: 144.79 / Max: 158.57 Min: 127.33 / Avg: 138.2 / Max: 146.64 Min: 133.23 / Avg: 136.46 / Max: 138.66 Min: 126.74 / Avg: 141.89 / Max: 162.45 Min: 127.95 / Avg: 146.03 / Max: 161.11 Min: 122.96 / Avg: 141.16 / Max: 156.42 Min: 125.42 / Avg: 139.95 / Max: 155.81 Min: 130.15 / Avg: 143.36 / Max: 167.38 Min: 127.6 / Avg: 138.6 / Max: 154.28 Min: 124.21 / Avg: 138.77 / Max: 163.33 Min: 123.73 / Avg: 125.79 / Max: 129.66 Min: 106.19 / Avg: 107.63 / Max: 109.17 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 500 1000 1500 2000 2500 SE +/- 20.26, N = 6 SE +/- 8.60, N = 3 SE +/- 7.91, N = 3 SE +/- 24.02, N = 5 SE +/- 30.54, N = 3 SE +/- 15.02, N = 15 SE +/- 20.43, N = 3 SE +/- 23.93, N = 15 SE +/- 17.58, N = 15 SE +/- 22.59, N = 3 SE +/- 33.17, N = 15 SE +/- 24.97, N = 15 SE +/- 33.34, N = 15 SE +/- 31.83, N = 15 SE +/- 28.60, N = 15 SE +/- 25.74, N = 15 SE +/- 34.92, N = 15 SE +/- 30.14, N = 3 SE +/- 18.48, N = 3 SE +/- 32.03, N = 3 1787 1871 1655 1854 2006 1811 1775 1733 1814 1835 1773 1719 1782 1798 1755 1814 1817 1989 2325 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 400 800 1200 1600 2000 Min: 1710.92 / Avg: 1787.13 / Max: 1849.3 Min: 1855.25 / Avg: 1871.36 / Max: 1884.64 Min: 1641.56 / Avg: 1654.73 / Max: 1668.9 Min: 1807.76 / Avg: 1853.51 / Max: 1929.21 Min: 1962.23 / Avg: 2005.65 / Max: 2064.57 Min: 1688.93 / Avg: 1810.62 / Max: 1911.59 Min: 1735.14 / Avg: 1774.96 / Max: 1802.83 Min: 1578 / Avg: 1733.28 / Max: 1879.86 Min: 1707.86 / Avg: 1814.13 / Max: 1966.47 Min: 1805.6 / Avg: 1835.48 / Max: 1879.78 Min: 1541.54 / Avg: 1773.47 / Max: 1975.34 Min: 1554.13 / Avg: 1719.48 / Max: 1956.56 Min: 1600.62 / Avg: 1782.32 / Max: 2036.36 Min: 1608.03 / Avg: 1798.43 / Max: 1997.87 Min: 1496.68 / Avg: 1754.82 / Max: 1925.71 Min: 1625.63 / Avg: 1814.23 / Max: 1963.69 Min: 1536.79 / Avg: 1817.28 / Max: 2018.42 Min: 1929.03 / Avg: 1989.26 / Max: 2021.6 Min: 2292.23 / Avg: 2324.96 / Max: 2356.2 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 1500 3000 4500 6000 7500 SE +/- 21.86, N = 15 SE +/- 18.28, N = 15 SE +/- 36.60, N = 15 SE +/- 23.67, N = 3 SE +/- 61.39, N = 15 SE +/- 39.18, N = 3 SE +/- 43.40, N = 3 SE +/- 31.38, N = 3 SE +/- 75.78, N = 15 SE +/- 52.78, N = 3 SE +/- 53.07, N = 15 SE +/- 102.07, N = 15 SE +/- 57.19, N = 15 SE +/- 64.05, N = 15 SE +/- 71.03, N = 3 SE +/- 56.89, N = 3 SE +/- 111.01, N = 3 SE +/- 47.68, N = 15 SE +/- 18.37, N = 3 SE +/- 0.00, N = 3 1963.31 2035.81 2244.31 2336.06 2536.42 3429.08 3631.81 3804.17 4433.06 4618.38 4472.15 4255.18 4503.71 5300.22 5362.77 6770.19 6605.06 2241.57 3840.41 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 1200 2400 3600 4800 6000 Min: 1740.24 / Avg: 1963.31 / Max: 2032.49 Min: 1929.39 / Avg: 2035.81 / Max: 2130.05 Min: 1849 / Avg: 2244.31 / Max: 2335.58 Min: 2295.31 / Avg: 2336.06 / Max: 2377.29 Min: 2164.68 / Avg: 2536.42 / Max: 2958.4 Min: 3370.33 / Avg: 3429.08 / Max: 3503.37 Min: 3550.08 / Avg: 3631.81 / Max: 3698 Min: 3750.08 / Avg: 3804.17 / Max: 3858.78 Min: 3803.66 / Avg: 4433.06 / Max: 4671.16 Min: 4512.81 / Avg: 4618.38 / Max: 4671.16 Min: 3858.78 / Avg: 4472.15 / Max: 4590.62 Min: 3803.66 / Avg: 4255.18 / Max: 4930.67 Min: 3858.78 / Avg: 4503.71 / Max: 4671.16 Min: 4930.67 / Avg: 5300.22 / Max: 5916.8 Min: 5220.71 / Avg: 5362.77 / Max: 5433.8 Min: 6656.4 / Avg: 6770.19 / Max: 6827.08 Min: 6494.05 / Avg: 6605.06 / Max: 6827.08 Min: 1901.83 / Avg: 2241.57 / Max: 2398.7 Min: 3803.66 / Avg: 3840.41 / Max: 3858.78 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 1300 2600 3900 5200 6500 SE +/- 1.17, N = 5 SE +/- 2.09, N = 3 SE +/- 48.28, N = 15 SE +/- 79.31, N = 15 SE +/- 6.65, N = 3 SE +/- 6.65, N = 3 SE +/- 95.82, N = 15 SE +/- 27.55, N = 3 SE +/- 3.67, N = 3 SE +/- 3.82, N = 3 SE +/- 1.06, N = 3 SE +/- 249.68, N = 3 SE +/- 1.06, N = 3 SE +/- 6.88, N = 3 SE +/- 2.61, N = 3 SE +/- 0.69, N = 3 SE +/- 100.04, N = 3 SE +/- 55.69, N = 15 SE +/- 19.79, N = 3 SE +/- 243.60, N = 3 2501.23 2586.06 2748.41 2675.68 2890.84 4953.62 4616.84 5282.86 5201.59 5205.83 5206.88 5841.65 5205.82 5767.29 6148.31 5936.73 5703.97 2815.25 6042.82 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 1100 2200 3300 4400 5500 Min: 2497.13 / Avg: 2501.23 / Max: 2502.99 Min: 2581.88 / Avg: 2586.06 / Max: 2588.15 Min: 2415.02 / Avg: 2748.41 / Max: 3069.23 Min: 2076.07 / Avg: 2675.68 / Max: 2901.97 Min: 2882.34 / Avg: 2890.84 / Max: 2903.95 Min: 4942.11 / Avg: 4953.62 / Max: 4965.15 Min: 3942.1 / Avg: 4616.84 / Max: 5224.97 Min: 5229.25 / Avg: 5282.86 / Max: 5320.69 Min: 5195.24 / Avg: 5201.59 / Max: 5207.94 Min: 5198.41 / Avg: 5205.83 / Max: 5211.13 Min: 5204.76 / Avg: 5206.88 / Max: 5207.94 Min: 5372.13 / Avg: 5841.65 / Max: 6223.66 Min: 5204.76 / Avg: 5205.82 / Max: 5207.94 Min: 5754.29 / Avg: 5767.29 / Max: 5777.71 Min: 6144.37 / Avg: 6148.31 / Max: 6153.24 Min: 5935.35 / Avg: 5936.73 / Max: 5937.42 Min: 5504 / Avg: 5703.97 / Max: 5809.88 Min: 2409.56 / Avg: 2815.25 / Max: 3247.02 Min: 6008.6 / Avg: 6042.82 / Max: 6077.17 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 5 10 15 20 25 SE +/- 0.27, N = 15 SE +/- 0.18, N = 15 SE +/- 0.09, N = 3 SE +/- 0.23, N = 5 SE +/- 0.73, N = 15 SE +/- 0.87, N = 15 SE +/- 0.07, N = 3 SE +/- 0.01, N = 3 SE +/- 0.33, N = 15 SE +/- 0.03, N = 3 SE +/- 0.39, N = 15 SE +/- 0.05, N = 3 SE +/- 0.26, N = 15 SE +/- 0.67, N = 15 SE +/- 0.63, N = 15 SE +/- 0.01, N = 3 SE +/- 0.23, N = 3 SE +/- 0.14, N = 9 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 18.32 17.38 15.92 17.49 18.58 18.05 17.37 15.74 16.52 15.83 16.34 16.47 17.03 18.48 18.79 16.21 16.65 14.49 13.67 14.28
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Sudokut 0.4 Total Time EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 5 10 15 20 25 Min: 17.74 / Avg: 18.32 / Max: 21.89 Min: 17.01 / Avg: 17.38 / Max: 19.75 Min: 15.8 / Avg: 15.92 / Max: 16.1 Min: 17.2 / Avg: 17.49 / Max: 18.42 Min: 17.09 / Avg: 18.58 / Max: 26.98 Min: 16.4 / Avg: 18.05 / Max: 26.33 Min: 17.27 / Avg: 17.37 / Max: 17.51 Min: 15.73 / Avg: 15.74 / Max: 15.75 Min: 15.82 / Avg: 16.52 / Max: 20.97 Min: 15.77 / Avg: 15.83 / Max: 15.85 Min: 15.79 / Avg: 16.34 / Max: 21.78 Min: 16.37 / Avg: 16.47 / Max: 16.56 Min: 16.44 / Avg: 17.03 / Max: 20.4 Min: 17.47 / Avg: 18.48 / Max: 27.73 Min: 17.66 / Avg: 18.79 / Max: 27.36 Min: 16.2 / Avg: 16.21 / Max: 16.23 Min: 16.31 / Avg: 16.65 / Max: 17.09 Min: 14.13 / Avg: 14.49 / Max: 15.52 Min: 13.65 / Avg: 13.67 / Max: 13.69 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 80 160 240 320 400 SE +/- 1.30, N = 3 SE +/- 1.06, N = 3 SE +/- 1.25, N = 3 SE +/- 2.23, N = 6 SE +/- 3.90, N = 12 SE +/- 3.48, N = 12 SE +/- 6.80, N = 12 SE +/- 8.97, N = 12 SE +/- 9.21, N = 12 SE +/- 9.97, N = 12 SE +/- 10.13, N = 12 SE +/- 9.06, N = 12 SE +/- 11.53, N = 12 SE +/- 10.68, N = 12 SE +/- 10.42, N = 12 SE +/- 9.82, N = 12 SE +/- 11.01, N = 12 SE +/- 1.50, N = 3 SE +/- 2.88, N = 13 SE +/- 1.61, N = 3 109.04 106.11 97.73 188.74 243.53 238.57 297.54 326.87 334.92 345.90 346.64 319.28 361.48 351.36 348.39 344.22 335.81 113.78 238.98 358.44 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 60 120 180 240 300 Min: 106.48 / Avg: 109.04 / Max: 110.74 Min: 104 / Avg: 106.11 / Max: 107.2 Min: 95.24 / Avg: 97.73 / Max: 99.01 Min: 177.67 / Avg: 188.74 / Max: 191.63 Min: 200.8 / Avg: 243.53 / Max: 248.55 Min: 200.6 / Avg: 238.57 / Max: 244.7 Min: 223.13 / Avg: 297.54 / Max: 309.12 Min: 228.66 / Avg: 326.87 / Max: 340.72 Min: 234.28 / Avg: 334.92 / Max: 350.06 Min: 236.5 / Avg: 345.9 / Max: 360.58 Min: 235.57 / Avg: 346.64 / Max: 362.98 Min: 220.02 / Avg: 319.28 / Max: 333.7 Min: 235.48 / Avg: 361.48 / Max: 379.27 Min: 234.28 / Avg: 351.36 / Max: 365.85 Min: 234.1 / Avg: 348.39 / Max: 361.88 Min: 236.59 / Avg: 344.22 / Max: 358.64 Min: 214.9 / Avg: 335.81 / Max: 350.06 Min: 110.82 / Avg: 113.78 / Max: 115.67 Min: 205.2 / Avg: 238.98 / Max: 245 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 40 80 120 160 200 SE +/- 1.76, N = 3 SE +/- 5.98, N = 15 SE +/- 3.56, N = 15 SE +/- 2.62, N = 15 SE +/- 1.45, N = 15 SE +/- 1.44, N = 4 SE +/- 0.30, N = 3 SE +/- 0.39, N = 3 SE +/- 4.90, N = 15 SE +/- 1.64, N = 4 SE +/- 3.83, N = 15 SE +/- 1.19, N = 3 SE +/- 1.72, N = 15 SE +/- 3.10, N = 15 SE +/- 0.49, N = 3 SE +/- 2.74, N = 15 SE +/- 1.96, N = 15 SE +/- 4.11, N = 12 SE +/- 0.23, N = 3 SE +/- 0.40, N = 3 130.69 111.65 88.75 96.21 102.38 103.72 128.43 114.82 116.69 117.90 97.49 95.70 92.79 135.92 110.10 164.37 162.69 116.35 58.39 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 30 60 90 120 150 Min: 127.21 / Avg: 130.69 / Max: 132.82 Min: 69.36 / Avg: 111.65 / Max: 138.39 Min: 74.15 / Avg: 88.75 / Max: 109.73 Min: 82.77 / Avg: 96.21 / Max: 112.24 Min: 92.81 / Avg: 102.38 / Max: 112.37 Min: 100.57 / Avg: 103.72 / Max: 106.94 Min: 127.84 / Avg: 128.43 / Max: 128.81 Min: 114.39 / Avg: 114.82 / Max: 115.59 Min: 86 / Avg: 116.69 / Max: 132.44 Min: 113.07 / Avg: 117.9 / Max: 120.3 Min: 80.07 / Avg: 97.49 / Max: 115 Min: 93.35 / Avg: 95.7 / Max: 97.15 Min: 81.95 / Avg: 92.79 / Max: 107.52 Min: 121.23 / Avg: 135.92 / Max: 159.98 Min: 109.29 / Avg: 110.1 / Max: 110.98 Min: 138.95 / Avg: 164.37 / Max: 181.75 Min: 153.2 / Avg: 162.69 / Max: 174.42 Min: 92.23 / Avg: 116.35 / Max: 134.23 Min: 57.97 / Avg: 58.39 / Max: 58.77 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 15 30 45 60 75 SE +/- 0.49, N = 3 SE +/- 0.32, N = 3 SE +/- 0.69, N = 15 SE +/- 0.30, N = 3 SE +/- 0.80, N = 15 SE +/- 0.21, N = 3 SE +/- 0.13, N = 3 SE +/- 0.34, N = 3 SE +/- 0.66, N = 4 SE +/- 0.54, N = 15 SE +/- 0.25, N = 3 SE +/- 2.20, N = 12 SE +/- 0.48, N = 15 SE +/- 0.61, N = 12 SE +/- 0.23, N = 15 SE +/- 0.21, N = 15 SE +/- 0.37, N = 3 SE +/- 0.11, N = 3 SE +/- 0.37, N = 4 SE +/- 0.40, N = 15 66.89 66.44 62.73 51.78 50.11 34.28 35.70 29.56 45.83 27.09 21.95 30.87 26.85 23.30 18.97 20.11 21.59 54.81 27.95 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 13 26 39 52 65 Min: 66.25 / Avg: 66.89 / Max: 67.85 Min: 66.1 / Avg: 66.44 / Max: 67.07 Min: 58.95 / Avg: 62.73 / Max: 67.52 Min: 51.46 / Avg: 51.78 / Max: 52.37 Min: 44.96 / Avg: 50.11 / Max: 56.21 Min: 33.87 / Avg: 34.28 / Max: 34.57 Min: 35.47 / Avg: 35.7 / Max: 35.93 Min: 29.08 / Avg: 29.56 / Max: 30.22 Min: 43.96 / Avg: 45.83 / Max: 47.03 Min: 24.2 / Avg: 27.09 / Max: 31.21 Min: 21.63 / Avg: 21.95 / Max: 22.43 Min: 22.93 / Avg: 30.87 / Max: 52.08 Min: 24.74 / Avg: 26.85 / Max: 30.62 Min: 20.54 / Avg: 23.3 / Max: 27.57 Min: 17.81 / Avg: 18.97 / Max: 20.22 Min: 18.88 / Avg: 20.11 / Max: 21.3 Min: 20.85 / Avg: 21.59 / Max: 21.96 Min: 54.67 / Avg: 54.81 / Max: 55.02 Min: 27.11 / Avg: 27.95 / Max: 28.77 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 120 240 360 480 600 SE +/- 4.11, N = 5 SE +/- 1.45, N = 3 SE +/- 1.15, N = 3 SE +/- 2.08, N = 3 SE +/- 11.26, N = 15 SE +/- 7.12, N = 15 SE +/- 12.76, N = 14 SE +/- 16.69, N = 15 SE +/- 3.76, N = 3 SE +/- 6.21, N = 15 SE +/- 31.42, N = 12 SE +/- 5.66, N = 15 SE +/- 5.24, N = 3 SE +/- 20.04, N = 15 SE +/- 9.46, N = 14 SE +/- 4.45, N = 15 SE +/- 3.38, N = 3 SE +/- 1.45, N = 3 321 530 516 518 333 533 347 475 234 410 529 296 260 262 484 420 482 337 563 517 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 100 200 300 400 500 Min: 311 / Avg: 321.4 / Max: 335 Min: 527 / Avg: 529.67 / Max: 532 Min: 516 / Avg: 518 / Max: 520 Min: 329 / Avg: 333 / Max: 336 Min: 238 / Avg: 346.93 / Max: 407 Min: 425 / Avg: 475.2 / Max: 515 Min: 188 / Avg: 234.43 / Max: 384 Min: 280 / Avg: 409.53 / Max: 524 Min: 522 / Avg: 528.67 / Max: 535 Min: 255 / Avg: 296.4 / Max: 351 Min: 184 / Avg: 260.17 / Max: 519 Min: 229 / Avg: 262.07 / Max: 326 Min: 474 / Avg: 483.67 / Max: 492 Min: 282 / Avg: 419.87 / Max: 503 Min: 375 / Avg: 482.29 / Max: 512 Min: 318 / Avg: 337.47 / Max: 377 Min: 556 / Avg: 562.67 / Max: 567 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 200 400 600 800 1000 SE +/- 2.93, N = 3 SE +/- 10.58, N = 15 SE +/- 0.39, N = 3 SE +/- 3.69, N = 3 SE +/- 2.71, N = 3 SE +/- 0.89, N = 3 SE +/- 4.51, N = 3 SE +/- 0.99, N = 3 SE +/- 11.73, N = 15 SE +/- 15.40, N = 14 SE +/- 4.31, N = 3 SE +/- 7.08, N = 3 SE +/- 17.83, N = 12 SE +/- 10.65, N = 15 SE +/- 13.69, N = 3 SE +/- 14.16, N = 15 SE +/- 7.11, N = 3 SE +/- 3.52, N = 3 SE +/- 1.85, N = 3 SE +/- 4.46, N = 3 175.49 141.22 206.13 271.74 346.25 367.57 362.45 396.26 487.74 431.69 606.34 509.24 653.71 576.21 796.30 694.25 772.58 220.92 456.91 599.53 1. (CXX) g++ options: -rdynamic
Result Confidence
OpenBenchmarking.org GFLOPS, More Is Better ArrayFire 3.7 Test: BLAS CPU EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 140 280 420 560 700 Min: 172.22 / Avg: 175.49 / Max: 181.35 Min: 103.12 / Avg: 141.22 / Max: 185.75 Min: 205.42 / Avg: 206.13 / Max: 206.74 Min: 265.5 / Avg: 271.74 / Max: 278.29 Min: 343.18 / Avg: 346.25 / Max: 351.65 Min: 366.05 / Avg: 367.57 / Max: 369.13 Min: 354.07 / Avg: 362.45 / Max: 369.54 Min: 394.83 / Avg: 396.26 / Max: 398.16 Min: 409.82 / Avg: 487.74 / Max: 551.45 Min: 397.82 / Avg: 431.69 / Max: 624.49 Min: 598.79 / Avg: 606.34 / Max: 613.71 Min: 496.76 / Avg: 509.24 / Max: 521.25 Min: 463.09 / Avg: 653.71 / Max: 684.82 Min: 473.19 / Avg: 576.2 / Max: 636.28 Min: 773.92 / Avg: 796.3 / Max: 821.15 Min: 594.64 / Avg: 694.25 / Max: 820.64 Min: 758.61 / Avg: 772.58 / Max: 781.84 Min: 216.26 / Avg: 220.92 / Max: 227.82 Min: 453.26 / Avg: 456.91 / Max: 459.2 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 800 1600 2400 3200 4000 SE +/- 318.01, N = 3 SE +/- 129.50, N = 3 SE +/- 6.93, N = 3 SE +/- 200.91, N = 3 SE +/- 242.72, N = 3 SE +/- 6.61, N = 3 SE +/- 7.15, N = 3 SE +/- 441.67, N = 3 SE +/- 493.42, N = 3 SE +/- 422.20, N = 3 SE +/- 0.07, N = 3 SE +/- 19.67, N = 3 SE +/- 495.38, N = 3 SE +/- 440.15, N = 3 SE +/- 2.08, N = 3 SE +/- 2.71, N = 3 SE +/- 1.18, N = 3 SE +/- 548.83, N = 3 SE +/- 12.02, N = 3 SE +/- 1.49, N = 3 2249.65 2658.82 3132.86 2211.14 2320.51 3057.21 2902.87 2521.24 2612.89 2514.98 3112.17 1701.71 2652.66 2616.75 3049.43 3069.17 3094.40 2832.36 3607.20 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 600 1200 1800 2400 3000 Min: 1645.77 / Avg: 2249.65 / Max: 2724.44 Min: 2445.92 / Avg: 2658.82 / Max: 2893.01 Min: 3119.77 / Avg: 3132.86 / Max: 3143.35 Min: 1922.03 / Avg: 2211.14 / Max: 2597.38 Min: 2016.82 / Avg: 2320.51 / Max: 2800.33 Min: 3049.05 / Avg: 3057.21 / Max: 3070.3 Min: 2892.68 / Avg: 2902.87 / Max: 2916.64 Min: 1656.97 / Avg: 2521.24 / Max: 3111.49 Min: 1626.06 / Avg: 2612.89 / Max: 3108.82 Min: 1700.09 / Avg: 2514.98 / Max: 3114.09 Min: 3112.04 / Avg: 3112.17 / Max: 3112.26 Min: 1681.92 / Avg: 1701.71 / Max: 1741.04 Min: 1661.91 / Avg: 2652.66 / Max: 3150.08 Min: 1736.48 / Avg: 2616.75 / Max: 3063.37 Min: 3045.64 / Avg: 3049.43 / Max: 3052.79 Min: 3065.99 / Avg: 3069.17 / Max: 3074.55 Min: 3092.13 / Avg: 3094.4 / Max: 3096.1 Min: 1753.8 / Avg: 2832.36 / Max: 3548.23 Min: 3584.25 / Avg: 3607.2 / Max: 3624.86 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 300 600 900 1200 1500 SE +/- 71.13, N = 3 SE +/- 4.60, N = 3 SE +/- 3.55, N = 3 SE +/- 64.65, N = 3 SE +/- 20.11, N = 3 SE +/- 4.96, N = 3 SE +/- 2.18, N = 3 SE +/- 68.19, N = 3 SE +/- 75.65, N = 3 SE +/- 82.14, N = 3 SE +/- 3.28, N = 3 SE +/- 47.01, N = 3 SE +/- 81.65, N = 3 SE +/- 81.52, N = 3 SE +/- 0.49, N = 3 SE +/- 1.27, N = 3 SE +/- 1.62, N = 3 SE +/- 82.02, N = 3 SE +/- 1.04, N = 3 SE +/- 3.54, N = 3 894.15 960.86 1029.57 901.96 955.20 1000.90 964.85 942.29 936.27 947.33 1021.83 848.08 952.81 929.80 1002.31 1008.78 1018.42 1079.45 1175.98 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 200 400 600 800 1000 Min: 752.08 / Avg: 894.15 / Max: 971.61 Min: 954.7 / Avg: 960.86 / Max: 969.85 Min: 1025.21 / Avg: 1029.57 / Max: 1036.6 Min: 772.85 / Avg: 901.96 / Max: 972.66 Min: 915.2 / Avg: 955.2 / Max: 978.93 Min: 993.83 / Avg: 1000.9 / Max: 1010.46 Min: 961.16 / Avg: 964.85 / Max: 968.71 Min: 806.83 / Avg: 942.29 / Max: 1023.79 Min: 785.84 / Avg: 936.27 / Max: 1025.47 Min: 783.13 / Avg: 947.33 / Max: 1033.92 Min: 1015.81 / Avg: 1021.83 / Max: 1027.1 Min: 785.58 / Avg: 848.08 / Max: 940.15 Min: 789.57 / Avg: 952.81 / Max: 1038.11 Min: 766.8 / Avg: 929.8 / Max: 1014.44 Min: 1001.8 / Avg: 1002.31 / Max: 1003.3 Min: 1006.3 / Avg: 1008.78 / Max: 1010.53 Min: 1015.67 / Avg: 1018.42 / Max: 1021.29 Min: 915.99 / Avg: 1079.45 / Max: 1173.22 Min: 1174.88 / Avg: 1175.98 / Max: 1178.07 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 50 100 150 200 250 SE +/- 45.74, N = 3 SE +/- 45.94, N = 3 SE +/- 0.43, N = 3 SE +/- 46.05, N = 3 SE +/- 2.94, N = 3 SE +/- 0.21, N = 3 SE +/- 4.10, N = 3 SE +/- 48.53, N = 3 SE +/- 48.56, N = 3 SE +/- 50.46, N = 3 SE +/- 1.61, N = 3 SE +/- 0.55, N = 3 SE +/- 47.26, N = 3 SE +/- 51.82, N = 3 SE +/- 0.18, N = 3 SE +/- 0.34, N = 3 SE +/- 0.34, N = 3 SE +/- 59.48, N = 3 SE +/- 0.41, N = 3 SE +/- 0.67, N = 3 138.46 177.20 222.53 153.02 215.39 217.13 208.87 136.32 136.16 152.26 220.75 59.16 142.76 155.45 217.61 218.05 219.29 165.44 246.84 238.95 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 40 80 120 160 200 Min: 50.36 / Avg: 138.46 / Max: 203.87 Min: 85.34 / Avg: 177.2 / Max: 224.62 Min: 221.98 / Avg: 222.53 / Max: 223.37 Min: 62.31 / Avg: 153.02 / Max: 212.16 Min: 210.51 / Avg: 215.39 / Max: 220.66 Min: 216.85 / Avg: 217.13 / Max: 217.53 Min: 201.85 / Avg: 208.87 / Max: 216.06 Min: 52.37 / Avg: 136.32 / Max: 220.49 Min: 52.74 / Avg: 136.16 / Max: 220.93 Min: 53.81 / Avg: 152.26 / Max: 220.66 Min: 217.94 / Avg: 220.75 / Max: 223.53 Min: 58.56 / Avg: 59.16 / Max: 60.27 Min: 54.01 / Avg: 142.76 / Max: 215.31 Min: 52.37 / Avg: 155.45 / Max: 216.32 Min: 217.32 / Avg: 217.61 / Max: 217.93 Min: 217.48 / Avg: 218.05 / Max: 218.65 Min: 218.94 / Avg: 219.29 / Max: 219.97 Min: 59.02 / Avg: 165.44 / Max: 264.68 Min: 246.02 / Avg: 246.84 / Max: 247.31 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 300 600 900 1200 1500 SE +/- 19.13, N = 12 SE +/- 18.61, N = 3 SE +/- 1.94, N = 3 SE +/- 9.53, N = 15 SE +/- 14.92, N = 15 SE +/- 2.35, N = 3 SE +/- 2.55, N = 3 SE +/- 25.76, N = 12 SE +/- 29.87, N = 12 SE +/- 24.59, N = 12 SE +/- 0.26, N = 3 SE +/- 9.24, N = 3 SE +/- 31.69, N = 12 SE +/- 29.19, N = 12 SE +/- 0.53, N = 3 SE +/- 0.30, N = 3 SE +/- 0.48, N = 3 SE +/- 30.94, N = 12 SE +/- 2.36, N = 3 SE +/- 0.36, N = 3 1069.16 1146.70 1289.24 982.41 999.97 1255.12 1196.83 1121.56 1221.20 1134.81 1277.04 919.11 1257.83 1228.75 1253.87 1259.32 1271.07 1285.35 1478.66 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 300 600 900 1200 1500 Min: 874.4 / Avg: 1069.16 / Max: 1158.71 Min: 1112.88 / Avg: 1146.7 / Max: 1177.09 Min: 1285.92 / Avg: 1289.24 / Max: 1292.64 Min: 939.13 / Avg: 982.41 / Max: 1071.56 Min: 948.09 / Avg: 999.97 / Max: 1184.38 Min: 1252.74 / Avg: 1255.12 / Max: 1259.81 Min: 1193.47 / Avg: 1196.83 / Max: 1201.83 Min: 907.36 / Avg: 1121.56 / Max: 1260.46 Min: 895.88 / Avg: 1221.2 / Max: 1276.33 Min: 910.18 / Avg: 1134.81 / Max: 1270.44 Min: 1276.54 / Avg: 1277.04 / Max: 1277.4 Min: 901.96 / Avg: 919.11 / Max: 933.64 Min: 909.58 / Avg: 1257.83 / Max: 1297.69 Min: 907.78 / Avg: 1228.75 / Max: 1260.03 Min: 1252.91 / Avg: 1253.87 / Max: 1254.73 Min: 1258.72 / Avg: 1259.32 / Max: 1259.65 Min: 1270.13 / Avg: 1271.07 / Max: 1271.69 Min: 1014.45 / Avg: 1285.35 / Max: 1450.78 Min: 1474.13 / Avg: 1478.66 / Max: 1482.06 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 100 200 300 400 500 SE +/- 15.81, N = 25 SE +/- 14.80, N = 25 SE +/- 15.21, N = 25 SE +/- 1.52, N = 5 SE +/- 22.93, N = 25 SE +/- 11.79, N = 25 SE +/- 14.00, N = 25 SE +/- 14.93, N = 25 SE +/- 1.64, N = 5 SE +/- 15.99, N = 20 SE +/- 11.31, N = 25 SE +/- 23.32, N = 20 SE +/- 13.49, N = 25 SE +/- 21.33, N = 25 SE +/- 11.21, N = 25 SE +/- 21.47, N = 25 SE +/- 25.67, N = 25 SE +/- 12.51, N = 25 SE +/- 11.04, N = 25 SE +/- 13.97, N = 25 466.72 441.46 432.49 370.48 364.78 276.42 271.20 275.81 204.36 241.79 231.51 269.25 241.25 268.58 243.14 282.25 287.37 368.41 250.68 246.88
Result Confidence
OpenBenchmarking.org ms, Fewer Is Better Renaissance 0.10.0 Test: Apache Spark Bayes EPYC 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 80 160 240 320 400 Min: 386.04 / Avg: 466.72 / Max: 622.34 Min: 381.45 / Avg: 441.46 / Max: 592.92 Min: 361.13 / Avg: 432.49 / Max: 579.95 Min: 366.9 / Avg: 370.48 / Max: 375.93 Min: 211.41 / Avg: 364.78 / Max: 468.13 Min: 206.33 / Avg: 276.42 / Max: 340.46 Min: 217.65 / Avg: 271.19 / Max: 387.98 Min: 199.24 / Avg: 275.81 / Max: 366.89 Min: 200.37 / Avg: 204.36 / Max: 208.19 Min: 185.18 / Avg: 241.79 / Max: 384.77 Min: 186.86 / Avg: 231.51 / Max: 348.08 Min: 189.88 / Avg: 269.25 / Max: 637.24 Min: 180.66 / Avg: 241.25 / Max: 373.27 Min: 189.05 / Avg: 268.58 / Max: 624.53 Min: 188.94 / Avg: 243.14 / Max: 319.52 Min: 193.18 / Avg: 282.25 / Max: 625.34 Min: 192.05 / Avg: 287.37 / Max: 640.46 Min: 316.64 / Avg: 368.41 / Max: 507.82 Min: 170.97 / Avg: 250.68 / Max: 320.09 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 5 10 15 20 25 SE +/- 0.005, N = 3 SE +/- 0.114, N = 15 SE +/- 0.007, N = 3 SE +/- 0.205, N = 12 SE +/- 0.130, N = 15 SE +/- 0.199, N = 13 SE +/- 0.105, N = 3 SE +/- 0.177, N = 15 SE +/- 0.177, N = 3 SE +/- 0.242, N = 15 SE +/- 0.211, N = 15 SE +/- 0.203, N = 5 SE +/- 0.215, N = 15 SE +/- 0.230, N = 15 SE +/- 0.228, N = 15 SE +/- 0.063, N = 3 SE +/- 0.232, N = 3 SE +/- 0.185, N = 15 SE +/- 0.137, N = 6 SE +/- 0.090, N = 3 5.179 4.120 5.629 5.981 9.199 9.909 9.911 13.636 15.005 15.390 16.068 15.923 16.291 18.500 18.868 20.733 17.483 5.351 11.802 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 5 10 15 20 25 Min: 5.17 / Avg: 5.18 / Max: 5.19 Min: 3.76 / Avg: 4.12 / Max: 5.14 Min: 5.62 / Avg: 5.63 / Max: 5.64 Min: 5.4 / Avg: 5.98 / Max: 7.44 Min: 8.19 / Avg: 9.2 / Max: 9.67 Min: 7.78 / Avg: 9.91 / Max: 10.32 Min: 9.7 / Avg: 9.91 / Max: 10.04 Min: 11.81 / Avg: 13.64 / Max: 14.45 Min: 14.83 / Avg: 15.01 / Max: 15.36 Min: 13.7 / Avg: 15.39 / Max: 16.83 Min: 13.91 / Avg: 16.07 / Max: 17.1 Min: 15.54 / Avg: 15.92 / Max: 16.65 Min: 14.81 / Avg: 16.29 / Max: 17.5 Min: 17.42 / Avg: 18.5 / Max: 20.22 Min: 17.98 / Avg: 18.87 / Max: 20.52 Min: 20.64 / Avg: 20.73 / Max: 20.85 Min: 17.07 / Avg: 17.48 / Max: 17.88 Min: 4.56 / Avg: 5.35 / Max: 6.38 Min: 11.32 / Avg: 11.8 / Max: 12.16 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 9K 18K 27K 36K 45K SE +/- 57.07, N = 3 SE +/- 711.02, N = 15 SE +/- 7.64, N = 3 SE +/- 104.09, N = 3 SE +/- 1278.01, N = 15 SE +/- 6.76, N = 3 SE +/- 652.75, N = 15 SE +/- 57.49, N = 3 SE +/- 1302.14, N = 15 SE +/- 1308.67, N = 15 SE +/- 1247.03, N = 15 SE +/- 11.31, N = 3 SE +/- 1430.66, N = 15 SE +/- 1424.04, N = 15 SE +/- 262.24, N = 3 SE +/- 583.46, N = 15 SE +/- 84.86, N = 3 SE +/- 586.59, N = 3 SE +/- 1015.18, N = 15 SE +/- 7.94, N = 3 40558.04 37495.07 29752.76 40098.62 36438.99 29733.57 38609.83 40792.92 37812.30 37912.29 33147.39 29592.44 34154.76 36193.24 40458.23 30578.87 40334.91 39389.32 31875.18 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 7K 14K 21K 28K 35K Min: 40474.32 / Avg: 40558.04 / Max: 40667.1 Min: 32725.36 / Avg: 37495.07 / Max: 40076.38 Min: 29743.69 / Avg: 29752.76 / Max: 29767.94 Min: 39971.87 / Avg: 40098.62 / Max: 40305.01 Min: 29762.68 / Avg: 36438.99 / Max: 40720.85 Min: 29723.86 / Avg: 29733.57 / Max: 29746.57 Min: 32113.62 / Avg: 38609.83 / Max: 40643.86 Min: 40715.13 / Avg: 40792.92 / Max: 40905.15 Min: 29689.09 / Avg: 37812.3 / Max: 40880.42 Min: 29776 / Avg: 37912.29 / Max: 41166.9 Min: 29697.43 / Avg: 33147.39 / Max: 40789.11 Min: 29573.86 / Avg: 29592.44 / Max: 29612.91 Min: 29697.37 / Avg: 34154.76 / Max: 40916.91 Min: 29591.39 / Avg: 36193.24 / Max: 40756.03 Min: 39956.62 / Avg: 40458.23 / Max: 40841.69 Min: 29669.64 / Avg: 30578.87 / Max: 36747.81 Min: 40187.86 / Avg: 40334.91 / Max: 40481.82 Min: 38770.78 / Avg: 39389.32 / Max: 40561.91 Min: 29896.6 / Avg: 31875.18 / Max: 41391.48 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 10K 20K 30K 40K 50K SE +/- 1719.43, N = 12 SE +/- 605.87, N = 4 SE +/- 1250.59, N = 15 SE +/- 1144.65, N = 15 SE +/- 1655.33, N = 15 SE +/- 312.09, N = 3 SE +/- 673.18, N = 3 SE +/- 111.00, N = 3 SE +/- 1258.25, N = 15 SE +/- 326.35, N = 3 SE +/- 479.86, N = 3 SE +/- 10.39, N = 3 SE +/- 1238.87, N = 15 SE +/- 1586.62, N = 15 SE +/- 26.84, N = 3 SE +/- 1607.53, N = 15 SE +/- 1473.07, N = 12 SE +/- 431.79, N = 9 SE +/- 167.17, N = 3 SE +/- 13.00, N = 3 39912.22 42471.92 42868.08 39879.28 39609.55 44525.20 43731.73 44173.72 42824.88 44796.65 31430.04 30795.24 32746.75 34508.28 44086.19 34465.10 39856.39 43604.57 44653.46 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 8K 16K 24K 32K 40K Min: 30839.49 / Avg: 39912.22 / Max: 44942.72 Min: 40736.88 / Avg: 42471.92 / Max: 43372.52 Min: 30970.36 / Avg: 42868.08 / Max: 45395.84 Min: 30735.34 / Avg: 39879.28 / Max: 44320.16 Min: 30905.95 / Avg: 39609.55 / Max: 44976.02 Min: 44078.73 / Avg: 44525.2 / Max: 45126.2 Min: 42436.77 / Avg: 43731.73 / Max: 44698.31 Min: 43953.63 / Avg: 44173.72 / Max: 44308.89 Min: 30852 / Avg: 42824.88 / Max: 45551.95 Min: 44145.93 / Avg: 44796.65 / Max: 45166.05 Min: 30933.72 / Avg: 31430.04 / Max: 32389.56 Min: 30777.85 / Avg: 30795.24 / Max: 30813.79 Min: 30899.28 / Avg: 32746.75 / Max: 44718.56 Min: 30711.53 / Avg: 34508.28 / Max: 44831.88 Min: 44054.6 / Avg: 44086.19 / Max: 44139.58 Min: 30757.27 / Avg: 34465.1 / Max: 45059.28 Min: 30861.15 / Avg: 39856.39 / Max: 45375.85 Min: 40992.79 / Avg: 43604.57 / Max: 45136.73 Min: 44325.37 / Avg: 44653.46 / Max: 44873.2 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 8K 16K 24K 32K 40K SE +/- 1342.99, N = 15 SE +/- 1027.10, N = 12 SE +/- 805.76, N = 15 SE +/- 595.11, N = 3 SE +/- 1005.60, N = 15 SE +/- 991.03, N = 15 SE +/- 259.53, N = 3 SE +/- 190.07, N = 3 SE +/- 1361.34, N = 15 SE +/- 1184.84, N = 15 SE +/- 21.16, N = 3 SE +/- 7.75, N = 3 SE +/- 809.42, N = 15 SE +/- 281.32, N = 3 SE +/- 1193.70, N = 15 SE +/- 1423.80, N = 15 SE +/- 1304.15, N = 12 SE +/- 453.53, N = 6 SE +/- 1117.17, N = 15 SE +/- 1393.40, N = 15 34824.99 35780.10 37752.01 38287.21 36075.79 30300.97 39129.02 39500.82 32972.78 31886.75 28922.64 28833.07 30650.76 39290.98 31400.38 34675.89 34333.32 38204.50 31998.12 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 7K 14K 21K 28K 35K Min: 28802.15 / Avg: 34824.99 / Max: 39755.82 Min: 28785.93 / Avg: 35780.1 / Max: 38995.76 Min: 28871.15 / Avg: 37752.01 / Max: 40001.21 Min: 37254.45 / Avg: 38287.21 / Max: 39315.97 Min: 28858.64 / Avg: 36075.79 / Max: 39965.31 Min: 28779.54 / Avg: 30300.97 / Max: 39971.89 Min: 38835.57 / Avg: 39129.02 / Max: 39646.52 Min: 39229.86 / Avg: 39500.82 / Max: 39867.21 Min: 28842.8 / Avg: 32972.78 / Max: 40047.41 Min: 28786.75 / Avg: 31886.75 / Max: 40051.06 Min: 28897.62 / Avg: 28922.64 / Max: 28964.71 Min: 28817.58 / Avg: 28833.07 / Max: 28841.12 Min: 28877.33 / Avg: 30650.76 / Max: 37858.63 Min: 38805.87 / Avg: 39290.98 / Max: 39780.38 Min: 28556.23 / Avg: 31400.38 / Max: 38984.63 Min: 28796.99 / Avg: 34675.89 / Max: 39936.31 Min: 28806.96 / Avg: 34333.32 / Max: 39623.27 Min: 36621.29 / Avg: 38204.5 / Max: 39661.73 Min: 29021.31 / Avg: 31998.12 / Max: 39806.02 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 8K 16K 24K 32K 40K SE +/- 900.70, N = 15 SE +/- 505.40, N = 15 SE +/- 78.47, N = 3 SE +/- 605.24, N = 15 SE +/- 878.51, N = 15 SE +/- 54.01, N = 3 SE +/- 379.71, N = 15 SE +/- 624.60, N = 12 SE +/- 888.64, N = 15 SE +/- 535.38, N = 14 SE +/- 884.91, N = 15 SE +/- 1.86, N = 3 SE +/- 20.47, N = 3 SE +/- 830.97, N = 15 SE +/- 112.67, N = 3 SE +/- 926.99, N = 15 SE +/- 754.39, N = 15 SE +/- 316.68, N = 10 SE +/- 57.19, N = 3 SE +/- 71.12, N = 3 33225.43 33796.07 35993.47 33289.76 31690.52 35997.33 34859.66 35348.11 33375.87 29143.48 31028.93 28516.07 28648.25 30290.94 35410.82 30957.09 34096.66 35283.08 36650.26 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 6K 12K 18K 24K 30K Min: 28424.7 / Avg: 33225.43 / Max: 35855.69 Min: 29768.36 / Avg: 33796.07 / Max: 35632.71 Min: 35840.78 / Avg: 35993.47 / Max: 36101.24 Min: 28386 / Avg: 33289.76 / Max: 35700.74 Min: 28467.99 / Avg: 31690.52 / Max: 36046.92 Min: 35901.3 / Avg: 35997.33 / Max: 36088.2 Min: 30696.8 / Avg: 34859.66 / Max: 35822.28 Min: 28486.35 / Avg: 35348.11 / Max: 36099.77 Min: 28511.86 / Avg: 33375.87 / Max: 36057.31 Min: 28548.66 / Avg: 29143.48 / Max: 36102.48 Min: 28488.68 / Avg: 31028.93 / Max: 36158.98 Min: 28514.02 / Avg: 28516.07 / Max: 28519.78 Min: 28608.01 / Avg: 28648.25 / Max: 28674.85 Min: 28386.9 / Avg: 30290.94 / Max: 35939.81 Min: 35267.72 / Avg: 35410.82 / Max: 35633.12 Min: 28467.39 / Avg: 30957.09 / Max: 36036.16 Min: 28489.67 / Avg: 34096.66 / Max: 36095.19 Min: 33173.71 / Avg: 35283.08 / Max: 36199.16 Min: 36536.09 / Avg: 36650.26 / Max: 36713.44 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 9K 18K 27K 36K 45K SE +/- 1470.68, N = 15 SE +/- 1025.97, N = 15 SE +/- 1332.08, N = 15 SE +/- 1073.34, N = 15 SE +/- 1264.73, N = 15 SE +/- 105.39, N = 3 SE +/- 492.75, N = 15 SE +/- 1166.90, N = 15 SE +/- 608.18, N = 4 SE +/- 373.43, N = 13 SE +/- 1500.19, N = 15 SE +/- 780.64, N = 15 SE +/- 874.93, N = 15 SE +/- 42.49, N = 3 SE +/- 1453.80, N = 15 SE +/- 795.56, N = 15 SE +/- 1241.24, N = 15 SE +/- 523.42, N = 3 SE +/- 1767.24, N = 12 SE +/- 285.80, N = 3 36365.94 37826.40 39802.05 38461.11 37214.09 42792.16 41379.54 39574.47 42122.70 31137.04 35252.61 31770.21 32096.98 42701.74 34934.58 31516.89 39537.66 41386.61 36546.04 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 7232P EPYC 7252 EPYC 7262 EPYC 7272 EPYC 7282 EPYC 7302P EPYC 7352 EPYC 7402P EPYC 7452 EPYC 7502 EPYC 7502P EPYC 7532 EPYC 7542 EPYC 7552 EPYC 7642 EPYC 7662 EPYC 7702 EPYC 7F32 EPYC 7F52 EPYC 7F72 7K 14K 21K 28K 35K Min: 30678.26 / Avg: 36365.94 / Max: 42678.53 Min: 30450.13 / Avg: 37826.4 / Max: 41664.04 Min: 30778.85 / Avg: 39802.05 / Max: 42975.71 Min: 31707.88 / Avg: 38461.11 / Max: 42120.8 Min: 30700.49 / Avg: 37214.09 / Max: 42664.5 Min: 42583.25 / Avg: 42792.16 / Max: 42920.88 Min: 36500.03 / Avg: 41379.54 / Max: 42631.69 Min: 30763.21 / Avg: 39574.47 / Max: 42896.97 Min: 40298.4 / Avg: 42122.7 / Max: 42759.19 Min: 30718.74 / Avg: 31137.04 / Max: 35616.86 Min: 30703.43 / Avg: 35252.61 / Max: 42875.53 Min: 30621.49 / Avg: 31770.21 / Max: 41410.02 Min: 30840.22 / Avg: 32096.98 / Max: 43103.18 Min: 42627.17 / Avg: 42701.74 / Max: 42774.31 Min: 30463.06 / Avg: 34934.58 / Max: 42519.99 Min: 30659.38 / Avg: 31516.89 / Max: 42653.89 Min: 30632.91 / Avg: 39537.66 / Max: 42785.08 Min: 40397.09 / Avg: 41386.61 / Max: 42177.24 Min: 31012.57 / Avg: 36546.04 / Max: 43442.72 Min: 42011.63 / Avg: 42539.39 / Max: 42993.4 1. (CC) gcc options: -O3 -march=native
EPYC 7232P Processor: AMD EPYC 7232P 8-Core @ 3.10GHz (8 Cores / 16 Threads), Motherboard: ASRockRack EPYCD8 (P2.10 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.10, Kernel: 5.8.0-21-generic (x86_64), Desktop: GNOME Shell 3.38.0, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.2.0 (LLVM 11.0.0 256 bits), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vDisk Notes: NONE / errors=remount-ro,relatime,rwProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101cJava Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu1)Python Notes: Python 2.7.18 + Python 3.8.6Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 25 October 2020 09:00 by user phoronix.
EPYC 7252 Processor: AMD EPYC 7252 8-Core @ 3.10GHz (8 Cores / 16 Threads), Motherboard: ASRockRack EPYCD8 (P2.10 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.10, Kernel: 5.8.0-21-generic (x86_64), Desktop: GNOME Shell 3.38.0, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.2.0 (LLVM 11.0.0 256 bits), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vDisk Notes: NONE / errors=remount-ro,relatime,rwProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101cJava Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu1)Python Notes: Python 2.7.18 + Python 3.8.6Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 4 November 2020 08:52 by user phoronix.
EPYC 7262 Processor: AMD EPYC 7262 8-Core @ 3.20GHz (8 Cores / 16 Threads), Motherboard: ASRockRack EPYCD8 (P2.10 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.10, Kernel: 5.8.0-21-generic (x86_64), Desktop: GNOME Shell 3.38.0, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.2.0 (LLVM 11.0.0 256 bits), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vDisk Notes: NONE / errors=remount-ro,relatime,rwProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101cJava Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu1)Python Notes: Python 2.7.18 + Python 3.8.6Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 5 November 2020 18:30 by user phoronix.
EPYC 7272 Processor: AMD EPYC 7272 12-Core @ 2.90GHz (12 Cores / 24 Threads), Motherboard: ASRockRack EPYCD8 (P2.10 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.10, Kernel: 5.8.0-21-generic (x86_64), Desktop: GNOME Shell 3.38.0, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.2.0 (LLVM 11.0.0 256 bits), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vDisk Notes: NONE / errors=remount-ro,relatime,rwProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101cJava Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu1)Python Notes: Python 2.7.18 + Python 3.8.6Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 7 November 2020 09:08 by user phoronix.
EPYC 7282 Processor: AMD EPYC 7282 16-Core @ 2.80GHz (16 Cores / 32 Threads), Motherboard: ASRockRack EPYCD8 (P2.10 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.10, Kernel: 5.8.0-21-generic (x86_64), Desktop: GNOME Shell 3.38.0, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.2.0 (LLVM 11.0.0 256 bits), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vDisk Notes: NONE / errors=remount-ro,relatime,rwProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101cJava Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu1)Python Notes: Python 2.7.18 + Python 3.8.6Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 2 November 2020 17:57 by user phoronix.
EPYC 7302P Processor: AMD EPYC 7302P 16-Core @ 3.00GHz (16 Cores / 32 Threads), Motherboard: ASRockRack EPYCD8 (P2.10 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.10, Kernel: 5.8.0-21-generic (x86_64), Desktop: GNOME Shell 3.38.0, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.2.0 (LLVM 11.0.0 256 bits), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vDisk Notes: NONE / errors=remount-ro,relatime,rwProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101cJava Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu1)Python Notes: Python 2.7.18 + Python 3.8.6Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 24 October 2020 10:21 by user phoronix.
EPYC 7352 Processor: AMD EPYC 7352 24-Core @ 2.30GHz (24 Cores / 48 Threads), Motherboard: ASRockRack EPYCD8 (P2.10 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.10, Kernel: 5.8.0-21-generic (x86_64), Desktop: GNOME Shell 3.38.0, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.2.0 (LLVM 11.0.0 256 bits), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vDisk Notes: NONE / errors=remount-ro,relatime,rwProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101cJava Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu1)Python Notes: Python 2.7.18 + Python 3.8.6Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 31 October 2020 18:01 by user phoronix.
EPYC 7402P Processor: AMD EPYC 7402P 24-Core @ 2.80GHz (24 Cores / 48 Threads), Motherboard: ASRockRack EPYCD8 (P2.10 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.10, Kernel: 5.8.0-21-generic (x86_64), Desktop: GNOME Shell 3.38.0, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.2.0 (LLVM 11.0.0 256 bits), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vDisk Notes: NONE / errors=remount-ro,relatime,rwProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101cJava Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu1)Python Notes: Python 2.7.18 + Python 3.8.6Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 23 October 2020 11:54 by user phoronix.
EPYC 7452 Processor: AMD EPYC 7452 32-Core @ 2.35GHz (32 Cores / 64 Threads), Motherboard: ASRockRack EPYCD8 (P2.10 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.10, Kernel: 5.8.0-21-generic (x86_64), Desktop: GNOME Shell 3.38.0, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.2.0 (LLVM 11.0.0 256 bits), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vDisk Notes: NONE / errors=remount-ro,relatime,rwProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101cJava Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu1)Python Notes: Python 2.7.18 + Python 3.8.6Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 28 October 2020 17:37 by user phoronix.
EPYC 7502 Processor: AMD EPYC 7502 32-Core @ 2.50GHz (32 Cores / 64 Threads), Motherboard: ASRockRack EPYCD8 (P2.10 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.10, Kernel: 5.8.0-21-generic (x86_64), Desktop: GNOME Shell 3.38.0, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.2.0 (LLVM 11.0.0 256 bits), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vDisk Notes: NONE / errors=remount-ro,relatime,rwProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101cJava Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu1)Python Notes: Python 2.7.18 + Python 3.8.6Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 8 November 2020 15:47 by user phoronix.
EPYC 7502P Processor: AMD EPYC 7502P 32-Core @ 2.50GHz (32 Cores / 64 Threads), Motherboard: ASRockRack EPYCD8 (P2.10 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.10, Kernel: 5.8.0-21-generic (x86_64), Desktop: GNOME Shell 3.38.0, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.2.0 (LLVM 11.0.0 256 bits), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vDisk Notes: NONE / errors=remount-ro,relatime,rwProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101cJava Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu1)Python Notes: Python 2.7.18 + Python 3.8.6Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 10 October 2020 06:50 by user phoronix.
EPYC 7532 Processor: AMD EPYC 7532 32-Core @ 2.40GHz (32 Cores / 64 Threads), Motherboard: ASRockRack EPYCD8 (P2.10 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.10, Kernel: 5.8.0-21-generic (x86_64), Desktop: GNOME Shell 3.38.0, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.2.0 (LLVM 11.0.0 256 bits), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vDisk Notes: NONE / errors=remount-ro,relatime,rwProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101cJava Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu1)Python Notes: Python 2.7.18 + Python 3.8.6Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 30 October 2020 18:09 by user phoronix.
EPYC 7542 Processor: AMD EPYC 7542 32-Core @ 2.90GHz (32 Cores / 64 Threads), Motherboard: ASRockRack EPYCD8 (P2.10 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.10, Kernel: 5.8.0-21-generic (x86_64), Desktop: GNOME Shell 3.38.0, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.2.0 (LLVM 11.0.0 256 bits), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vDisk Notes: NONE / errors=remount-ro,relatime,rwProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101cJava Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu1)Python Notes: Python 2.7.18 + Python 3.8.6Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 1 November 2020 18:31 by user phoronix.
EPYC 7552 Processor: AMD EPYC 7552 48-Core @ 2.20GHz (48 Cores / 96 Threads), Motherboard: ASRockRack EPYCD8 (P2.10 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.10, Kernel: 5.8.0-21-generic (x86_64), Desktop: GNOME Shell 3.38.0, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.2.0 (LLVM 11.0.0 256 bits), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vDisk Notes: NONE / errors=remount-ro,relatime,rwProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101cJava Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu1)Python Notes: Python 2.7.18 + Python 3.8.6Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 26 October 2020 13:43 by user phoronix.
EPYC 7642 Processor: AMD EPYC 7642 48-Core @ 2.30GHz (48 Cores / 96 Threads), Motherboard: ASRockRack EPYCD8 (P2.10 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.10, Kernel: 5.8.0-21-generic (x86_64), Desktop: GNOME Shell 3.38.0, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.2.0 (LLVM 11.0.0 256 bits), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vDisk Notes: NONE / errors=remount-ro,relatime,rwProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101cJava Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu1)Python Notes: Python 2.7.18 + Python 3.8.6Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 22 October 2020 09:57 by user phoronix.
EPYC 7662 Processor: AMD EPYC 7662 64-Core @ 2.00GHz (64 Cores / 128 Threads), Motherboard: ASRockRack EPYCD8 (P2.10 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.10, Kernel: 5.8.0-21-generic (x86_64), Desktop: GNOME Shell 3.38.0, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.2.0 (LLVM 11.0.0 256 bits), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vDisk Notes: NONE / errors=remount-ro,relatime,rwProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101cJava Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu1)Python Notes: Python 2.7.18 + Python 3.8.6Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 19 October 2020 21:29 by user phoronix.
EPYC 7702 Processor: AMD EPYC 7702 64-Core @ 2.00GHz (64 Cores / 128 Threads), Motherboard: ASRockRack EPYCD8 (P2.10 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.10, Kernel: 5.8.0-21-generic (x86_64), Desktop: GNOME Shell 3.38.0, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.2.0 (LLVM 11.0.0 256 bits), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vDisk Notes: NONE / errors=remount-ro,relatime,rwProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101cJava Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu1)Python Notes: Python 2.7.18 + Python 3.8.6Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 21 October 2020 08:51 by user phoronix.
EPYC 7F32 Processor: AMD EPYC 7F32 8-Core @ 3.70GHz (8 Cores / 16 Threads), Motherboard: ASRockRack EPYCD8 (P2.10 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.10, Kernel: 5.8.0-21-generic (x86_64), Desktop: GNOME Shell 3.38.0, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.2.0 (LLVM 11.0.0 256 bits), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vDisk Notes: NONE / errors=remount-ro,relatime,rwProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101cJava Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu1)Python Notes: Python 2.7.18 + Python 3.8.6Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 27 October 2020 15:29 by user phoronix.
EPYC 7F52 Processor: AMD EPYC 7F52 16-Core @ 3.50GHz (16 Cores / 32 Threads), Motherboard: ASRockRack EPYCD8 (P2.10 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.10, Kernel: 5.8.0-21-generic (x86_64), Desktop: GNOME Shell 3.38.0, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.2.0 (LLVM 11.0.0 256 bits), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vDisk Notes: NONE / errors=remount-ro,relatime,rwProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101cJava Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu1)Python Notes: Python 2.7.18 + Python 3.8.6Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 29 October 2020 18:03 by user phoronix.
EPYC 7F72 Processor: AMD EPYC 7F72 24-Core @ 3.20GHz (24 Cores / 48 Threads), Motherboard: ASRockRack EPYCD8 (P2.10 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel I350
OS: Ubuntu 20.10, Kernel: 5.8.0-20-generic (x86_64), Desktop: GNOME Shell 3.38.0, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.2.0 (LLVM 11.0.0 256 bits), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vDisk Notes: NONE / errors=remount-ro,relatime,rwProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x830101cJava Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu1)Python Notes: Python 2.7.18 + Python 3.8.6Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 8 October 2020 10:33 by user phoronix.