AMD EPYC 7F72 24-Core testing with a ASRockRack EPYCD8 (P2.10 BIOS) and ASPEED on Ubuntu 20.04 via the Phoronix Test Suite.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2009304-FI-EPYC7F72E54
epyc-7f72-eo-september ,
"Hierarchical INTegration 1.0 - Test: FLOAT",
Higher Results Are Better
"EPYC 7F72 x",328918324.11922,328815810.17308,328734302.38323
"2",328904371.14105,328787999.13454,328912513.78869
"3",329597223.87629,328806737.4338,328299368.71599
"Timed HMMer Search 3.3.1 - Pfam Database Search",
Lower Results Are Better
"EPYC 7F72",142.611,141.979,142.65
"EPYC 7F72 x",142.666,142.521,142.646
"2",142.646,142.523,142.616
"3",142.58,142.503,142.53
"Timed MAFFT Alignment 7.471 - Multiple Sequence Alignment - LSU RNA",
Lower Results Are Better
"EPYC 7F72",9.356,9.537,9.502
"EPYC 7F72 x",9.578,9.595,9.504
"2",9.732,9.652,9.549
"3",9.667,9.47,9.587
"LeelaChessZero 0.26 - Backend: BLAS",
Higher Results Are Better
"EPYC 7F72",2207,2246,2228
"EPYC 7F72 x",2171,2288,2338,2217,2205,2327,2244
"2",2138,2260,2151,2275,2239
"3",2210,2242,2233
"LeelaChessZero 0.26 - Backend: Eigen",
Higher Results Are Better
"EPYC 7F72",2131,2043,1948,1990,2154,2102,2090,2146,2050
"EPYC 7F72 x",2132,2177,2224
"2",2186,2160,2148
"3",2132,1914,2043,2158,2128,2154,2187,2117,2032
"LeelaChessZero 0.26 - Backend: Random",
Higher Results Are Better
"EPYC 7F72",167137,162634,164243
"EPYC 7F72 x",163019,167302,162612
"2",167615,163924,167054
"3",167220,161788,167577
"Dolfyn 0.527 - Computational Fluid Dynamics",
Lower Results Are Better
"EPYC 7F72",18.567,18.747,18.566
"EPYC 7F72 x",18.514,18.786,18.611
"2",18.498,18.523,18.6
"3",18.614,18.759,18.565
"Caffe 2020-02-13 - Model: AlexNet - Acceleration: CPU - Iterations: 100",
Lower Results Are Better
"EPYC 7F72 x",75339,75281,75259
"2",74895,75484,75112
"3",74878,75582,75441
"Caffe 2020-02-13 - Model: AlexNet - Acceleration: CPU - Iterations: 200",
Lower Results Are Better
"EPYC 7F72 x",150024,150754,150342
"2",150131,150332,150345
"3",150483,150737,150658
"Caffe 2020-02-13 - Model: AlexNet - Acceleration: CPU - Iterations: 1000",
Lower Results Are Better
"EPYC 7F72 x",751925,750333,752594
"2",753348,751680,751183
"3",750365,751421,753150
"Caffe 2020-02-13 - Model: GoogleNet - Acceleration: CPU - Iterations: 100",
Lower Results Are Better
"EPYC 7F72 x",190783,190078,189178
"2",189763,189387,188916
"3",189367,190778,190061
"Caffe 2020-02-13 - Model: GoogleNet - Acceleration: CPU - Iterations: 200",
Lower Results Are Better
"EPYC 7F72 x",379218,380686,379735
"2",379673,379470,381116
"3",378792,379596,379584
"Caffe 2020-02-13 - Model: GoogleNet - Acceleration: CPU - Iterations: 1000",
Lower Results Are Better
"EPYC 7F72 x",1901500,1898950,1907180
"2",1897860,1903160,1900440
"3",1900630,1902500,1899370
"NCNN 20200916 - Target: CPU - Model: squeezenet",
Lower Results Are Better
"EPYC 7F72 x",18.72,18.83,19.07
"2",18.93,20.44,19.02,19.12,19.72,19.11,19.29
"3",19.78,20.04,19.05
"NCNN 20200916 - Target: CPU - Model: mobilenet",
Lower Results Are Better
"EPYC 7F72 x",19.41,19.41,19.44
"2",21.16,20.84,19.59,19.45,19.38,19.49,19.59
"3",21.78,19.68,19.8
"NCNN 20200916 - Target: CPU-v2-v2 - Model: mobilenet-v2",
Lower Results Are Better
"EPYC 7F72 x",9.15,9.18,9.3
"2",9.37,9.33,9.28,9.26,9.33,9.08,9.15
"3",9.16,9.16,9.53
"NCNN 20200916 - Target: CPU-v3-v3 - Model: mobilenet-v3",
Lower Results Are Better
"EPYC 7F72 x",8.76,8.78,8.85
"2",8.95,8.89,8.9,8.76,8.76,8.69,8.71
"3",8.74,8.97,8.94
"NCNN 20200916 - Target: CPU - Model: shufflenet-v2",
Lower Results Are Better
"EPYC 7F72 x",9.28,9.35,9.34
"2",9.55,9.34,9.35,9.37,9.15,9.24
"3",9.29,9.28,9.45
"NCNN 20200916 - Target: CPU - Model: mnasnet",
Lower Results Are Better
"EPYC 7F72 x",8.38,8.4,8.43
"2",8.56,8.47,8.54,8.42,8.44,8.32,8.43
"3",8.42,8.29,8.51
"NCNN 20200916 - Target: CPU - Model: efficientnet-b0",
Lower Results Are Better
"EPYC 7F72 x",10.93,11.09,11.24
"2",11.15,11.24,11.14,10.98,10.99,10.85,10.88
"3",11.01,10.85,11.14
"NCNN 20200916 - Target: CPU - Model: blazeface",
Lower Results Are Better
"EPYC 7F72 x",3.7,3.74,3.79
"2",3.82,3.82,3.76,3.73,3.76,3.75,3.78
"3",3.68,3.73,3.79
"NCNN 20200916 - Target: CPU - Model: googlenet",
Lower Results Are Better
"EPYC 7F72 x",19.45,19.52,19.9
"2",19.51,19.85,19.35,19.75,19.8,19.82,20.09
"3",19.37,19.71,19.96
"NCNN 20200916 - Target: CPU - Model: vgg16",
Lower Results Are Better
"EPYC 7F72 x",31.73,33.21,33.54
"2",31.5,33,32.36,32.68,33.04,33.34,34.03
"3",32.09,32.63,32.84
"NCNN 20200916 - Target: CPU - Model: resnet18",
Lower Results Are Better
"EPYC 7F72 x",12.55,13.11,13.47
"2",12.54,12.78,12.92,13.02,13.23,13.5,13.34
"3",12.76,13.01,13.22
"NCNN 20200916 - Target: CPU - Model: alexnet",
Lower Results Are Better
"EPYC 7F72 x",8.7,9.17,9.61
"2",8.69,9.18,9.27,9.69,9.83,9.88
"3",8.82,9.3,9.62
"NCNN 20200916 - Target: CPU - Model: resnet50",
Lower Results Are Better
"EPYC 7F72 x",22.77,22.51,23.05
"2",22.45,22.94,22.55,22.68,22.75,22.73,22.85
"3",22.75,22.62,23.38
"NCNN 20200916 - Target: CPU - Model: yolov4-tiny",
Lower Results Are Better
"EPYC 7F72 x",30,30.13,30.47
"2",29.61,30.04,30.03,30.41,30.18,30.42,30.29
"3",30.48,29.84,30.48
"Mlpack Benchmark - Benchmark: scikit_ica",
Lower Results Are Better
"EPYC 7F72 x",60.334380149841,59.999970436096,62.785713672638
"2",58.882318258286,61.203994274139,62.210530042648
"3",61.762886285782,61.14275932312,61.275590896606
"Mlpack Benchmark - Benchmark: scikit_qda",
Lower Results Are Better
"EPYC 7F72 x",39.713961362839,39.367212057114,39.282106876373
"2",39.292659282684,39.354883670807,39.265194654465
"3",39.493300437927,39.548891067505,39.787895202637
"Mlpack Benchmark - Benchmark: scikit_svm",
Lower Results Are Better
"EPYC 7F72 x",24.184630155563,24.305909633636,24.361471891403
"2",24.18485045433,24.300533533096,24.343571662903
"3",24.208335876465,24.370551586151,24.210417032242
"Mlpack Benchmark - Benchmark: scikit_linearridgeregression",
Lower Results Are Better
"EPYC 7F72 x",1.6337206363678,1.6552460193634,1.6475262641907
"2",1.6462693214417,1.6725957393646,1.6255860328674
"3",1.6497433185577,1.6443202495575,1.6425347328186
"FFTE 7.0 - N=256, 3D Complex FFT Routine",
Higher Results Are Better
"EPYC 7F72",122299.74162494,122571.18928003,120557.36866365
"EPYC 7F72 x",122926.78358582,122326.64208114,121945.75054756
"2",122020.66914449,119649.52901254,122122.93322251
"3",122055.77628433,122444.85063099,121563.8148218
"Apache CouchDB 3.1.1 - Bulk Size: 100 - Inserts: 1000 - Rounds: 24",
Lower Results Are Better
"EPYC 7F72",103.098,103.717,104.239
"EPYC 7F72 x",103.831,103.777,103.968
"2",103.863,105.654,103.826
"3",105.724,104.577,103.641
"KeyDB 6.0.16 - ",
Higher Results Are Better
"EPYC 7F72",420795.86,419929.56,420425.07
"EPYC 7F72 x",425750.8,420581.61,418696.42
"2",420373.36,417242.78,421651.96
"3",422403.1,418387.19,416483.28
"BYTE Unix Benchmark 3.6 - Computational Test: Dhrystone 2",
Higher Results Are Better
"EPYC 7F72",37005527.3,38318338.3,37946799.5
"EPYC 7F72 x",37694443.3,38283051.1,39144548.9
"2",38233310.8,39284791.6,36332488,37562599.6,38449259.9
"3",37821146,38867027.9,36964762.8