AMD Ryzen Threadripper PRO 5965WX 24-Cores testing with a ASUS Pro WS WRX80E-SAGE SE WIFI (1201 BIOS) and ASUS NVIDIA NV106 2GB on Ubuntu 23.10 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 2311165-NE-PYT74848100
pyt,
"PyTorch 2.1 - Device: CPU - Batch Size: 32 - Model: ResNet-50",
Higher Results Are Better
"a",31.191307208416
"b",32.168455565894
"c",32.1984257569
"PyTorch 2.1 - Device: CPU - Batch Size: 32 - Model: ResNet-152",
Higher Results Are Better
"a",12.602765879751
"b",12.288022664692
"c",12.521316384117
"PyTorch 2.1 - Device: CPU - Batch Size: 256 - Model: ResNet-50",
Higher Results Are Better
"a",32.414024014804
"b",31.996164566947
"c",31.700221167481
"PyTorch 2.1 - Device: CPU - Batch Size: 1 - Model: ResNet-152",
Higher Results Are Better
"a",15.784792744108
"b",15.816358021657
"c",16.124431909761
"PyTorch 2.1 - Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l",
Higher Results Are Better
"a",7.0615049380697
"b",7.0392138627911
"c",6.9490065945762
"PyTorch 2.1 - Device: CPU - Batch Size: 16 - Model: ResNet-152",
Higher Results Are Better
"a",12.605210143989
"b",12.445678210949
"c",12.419135570548
"PyTorch 2.1 - Device: CPU - Batch Size: 64 - Model: ResNet-50",
Higher Results Are Better
"a",31.900557029507
"b",31.673113685625
"c",31.46531202033
"PyTorch 2.1 - Device: CPU - Batch Size: 512 - Model: ResNet-50",
Higher Results Are Better
"a",32.081521320668
"b",32.171563277925
"c",32.507721925249
"PyTorch 2.1 - Device: CPU - Batch Size: 1 - Model: ResNet-50",
Higher Results Are Better
"a",40.489967465788
"b",40.318922771413
"c",40.799467181851
"PyTorch 2.1 - Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l",
Higher Results Are Better
"a",9.6740051761534
"b",9.6875414077407
"c",9.5872079118092
"PyTorch 2.1 - Device: CPU - Batch Size: 512 - Model: ResNet-152",
Higher Results Are Better
"a",12.456962630285
"b",12.370428037238
"c",12.349707779928
"PyTorch 2.1 - Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l",
Higher Results Are Better
"a",6.9286402357105
"b",6.9922200136766
"c",6.929176241093
"PyTorch 2.1 - Device: CPU - Batch Size: 256 - Model: ResNet-152",
Higher Results Are Better
"a",12.423072779132
"b",12.32577240935
"c",12.371608958651
"PyTorch 2.1 - Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_l",
Higher Results Are Better
"a",6.9788953054463
"b",6.9457165392119
"c",6.9269707813707
"PyTorch 2.1 - Device: CPU - Batch Size: 512 - Model: Efficientnet_v2_l",
Higher Results Are Better
"a",6.9839494508487
"b",6.9937198650905
"c",6.9501731318704
"PyTorch 2.1 - Device: CPU - Batch Size: 16 - Model: ResNet-50",
Higher Results Are Better
"a",31.769180769014
"b",31.954850779422
"c",31.909557476438
"PyTorch 2.1 - Device: CPU - Batch Size: 64 - Model: ResNet-152",
Higher Results Are Better
"a",12.45408106614
"b",12.476900802833
"c",12.483546675543
"PyTorch 2.1 - Device: CPU - Batch Size: 256 - Model: Efficientnet_v2_l",
Higher Results Are Better
"a",6.9935530712517
"b",6.9998905122828
"c",6.9903534333355