AMD Ryzen Threadripper 7960X 24-Cores testing with a ASRock TRX50 WS (7.09 BIOS) and NVIDIA GeForce RTX 4060 Ti 16GB on Ubuntu 22.04 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 2403309-NE-RIPPERPYT22
ripper-pytorch,
"PyTorch 2.2.1 - Device: CPU - Batch Size: 1 - Model: ResNet-50",
Higher Results Are Better
"ripper-pytorch",64.90897672546,64.525943354188,63.962536006958
"PyTorch 2.2.1 - Device: CPU - Batch Size: 1 - Model: ResNet-152",
Higher Results Are Better
"ripper-pytorch",24.921110230407,25.306708016,25.39337032342
"PyTorch 2.2.1 - Device: CPU - Batch Size: 16 - Model: ResNet-50",
Higher Results Are Better
"ripper-pytorch",49.651886211606,49.284623122964,49.513830708411
"PyTorch 2.2.1 - Device: CPU - Batch Size: 32 - Model: ResNet-50",
Higher Results Are Better
"ripper-pytorch",49.611020916671,48.713835534562,48.672730395885
"PyTorch 2.2.1 - Device: CPU - Batch Size: 64 - Model: ResNet-50",
Higher Results Are Better
"ripper-pytorch",48.51100366629,49.164002782528,49.370202537248
"PyTorch 2.2.1 - Device: CPU - Batch Size: 16 - Model: ResNet-152",
Higher Results Are Better
"ripper-pytorch",19.018614304497,19.38864338234,19.064898471116
"PyTorch 2.2.1 - Device: CPU - Batch Size: 256 - Model: ResNet-50",
Higher Results Are Better
"ripper-pytorch",49.261240566038,49.695586493226,48.929435612818
"PyTorch 2.2.1 - Device: CPU - Batch Size: 32 - Model: ResNet-152",
Higher Results Are Better
"ripper-pytorch",19.273669482586,19.276845357684,19.340405186836
"PyTorch 2.2.1 - Device: CPU - Batch Size: 512 - Model: ResNet-50",
Higher Results Are Better
"ripper-pytorch",49.098490923276,48.610869074599,49.138669183492
"PyTorch 2.2.1 - Device: CPU - Batch Size: 64 - Model: ResNet-152",
Higher Results Are Better
"ripper-pytorch",19.305524773447,19.272220943497,19.221954859481
"PyTorch 2.2.1 - Device: CPU - Batch Size: 256 - Model: ResNet-152",
Higher Results Are Better
"ripper-pytorch",19.295842494781,19.218867638831,19.268752030733
"PyTorch 2.2.1 - Device: CPU - Batch Size: 512 - Model: ResNet-152",
Higher Results Are Better
"ripper-pytorch",19.29912413998,19.075873059611,19.215917531762
"PyTorch 2.2.1 - Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l",
Higher Results Are Better
"ripper-pytorch",15.071585406299,15.313622742621,15.202322887864
"PyTorch 2.2.1 - Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l",
Higher Results Are Better
"ripper-pytorch",10.804551534278,10.818747364729,10.844835288008
"PyTorch 2.2.1 - Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l",
Higher Results Are Better
"ripper-pytorch",10.802189762506,10.826969480841,10.839440585642
"PyTorch 2.2.1 - Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_l",
Higher Results Are Better
"ripper-pytorch",10.832313409053,10.637394755788,10.833709440444
"PyTorch 2.2.1 - Device: CPU - Batch Size: 256 - Model: Efficientnet_v2_l",
Higher Results Are Better
"ripper-pytorch",10.838233413977,10.944387178164,10.975358398916
"PyTorch 2.2.1 - Device: CPU - Batch Size: 512 - Model: Efficientnet_v2_l",
Higher Results Are Better
"ripper-pytorch",10.780865087348,10.83098771161,10.860304568243
"PyTorch 2.2.1 - Device: NVIDIA CUDA GPU - Batch Size: 1 - Model: ResNet-50",
Higher Results Are Better
"ripper-pytorch",332.4080476802,340.07491368381,331.11212481057
"PyTorch 2.2.1 - Device: NVIDIA CUDA GPU - Batch Size: 1 - Model: ResNet-152",
Higher Results Are Better
"ripper-pytorch",119.46731602171,118.4080465385,118.2240035989
"PyTorch 2.2.1 - Device: NVIDIA CUDA GPU - Batch Size: 16 - Model: ResNet-50",
Higher Results Are Better
"ripper-pytorch",308.72574210939,305.48197485862,312.31837956073
"PyTorch 2.2.1 - Device: NVIDIA CUDA GPU - Batch Size: 32 - Model: ResNet-50",
Higher Results Are Better
"ripper-pytorch",314.73034501269,317.65912432605,308.9962146165
"PyTorch 2.2.1 - Device: NVIDIA CUDA GPU - Batch Size: 64 - Model: ResNet-50",
Higher Results Are Better
"ripper-pytorch",316.68685591299,305.79276083185,310.37599612883
"PyTorch 2.2.1 - Device: NVIDIA CUDA GPU - Batch Size: 16 - Model: ResNet-152",
Higher Results Are Better
"ripper-pytorch",117.37119640808,121.24816565662,117.47900901618
"PyTorch 2.2.1 - Device: NVIDIA CUDA GPU - Batch Size: 256 - Model: ResNet-50",
Higher Results Are Better
"ripper-pytorch",316.85992299759,312.65417819202,318.89448719776
"PyTorch 2.2.1 - Device: NVIDIA CUDA GPU - Batch Size: 32 - Model: ResNet-152",
Higher Results Are Better
"ripper-pytorch",119.81551709069,119.50857515688,118.78076865821
"PyTorch 2.2.1 - Device: NVIDIA CUDA GPU - Batch Size: 512 - Model: ResNet-50",
Higher Results Are Better
"ripper-pytorch",313.45712363838,317.52482078713,319.30693913837
"PyTorch 2.2.1 - Device: NVIDIA CUDA GPU - Batch Size: 64 - Model: ResNet-152",
Higher Results Are Better
"ripper-pytorch",116.237893936,118.7519246347,119.02621346136
"PyTorch 2.2.1 - Device: NVIDIA CUDA GPU - Batch Size: 256 - Model: ResNet-152",
Higher Results Are Better
"ripper-pytorch",119.0916639851,122.57475346631,121.22233990906
"PyTorch 2.2.1 - Device: NVIDIA CUDA GPU - Batch Size: 512 - Model: ResNet-152",
Higher Results Are Better
"ripper-pytorch",120.51929889989,120.61343121874,120.222495929
"PyTorch 2.2.1 - Device: NVIDIA CUDA GPU - Batch Size: 1 - Model: Efficientnet_v2_l",
Higher Results Are Better
"ripper-pytorch",63.319586744228,62.775815531566,62.28158391132
"PyTorch 2.2.1 - Device: NVIDIA CUDA GPU - Batch Size: 16 - Model: Efficientnet_v2_l",
Higher Results Are Better
"ripper-pytorch",60.883920462808,61.306625523276,61.473837610291
"PyTorch 2.2.1 - Device: NVIDIA CUDA GPU - Batch Size: 32 - Model: Efficientnet_v2_l",
Higher Results Are Better
"ripper-pytorch",60.455778143703,60.543479812092,62.294555850038
"PyTorch 2.2.1 - Device: NVIDIA CUDA GPU - Batch Size: 64 - Model: Efficientnet_v2_l",
Higher Results Are Better
"ripper-pytorch",58.69862771828,61.579921223195,61.823278575525,61.948268407625,61.311527911052
"PyTorch 2.2.1 - Device: NVIDIA CUDA GPU - Batch Size: 256 - Model: Efficientnet_v2_l",
Higher Results Are Better
"ripper-pytorch",60.755921025532,60.247890829528,58.998127655209
"PyTorch 2.2.1 - Device: NVIDIA CUDA GPU - Batch Size: 512 - Model: Efficientnet_v2_l",
Higher Results Are Better
"ripper-pytorch",60.110859096522,61.36937164051,59.238512703969