Intel Core i7-1165G7 testing with a Dell 0GG9PT (3.15.0 BIOS) and Intel Xe TGL GT2 15GB 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 2311188-SYST-PYTORCH48
pytorch blender,
"PyTorch 2.1 - Device: CPU - Batch Size: 1 - Model: ResNet-152",
Higher Results Are Better
"a",11.753952069418
"b",10.695664522236
"c",11.809761872551
"PyTorch 2.1 - Device: CPU - Batch Size: 16 - Model: ResNet-50",
Higher Results Are Better
"a",14.116289717374
"b",13.432004736116
"c",14.45337765537
"PyTorch 2.1 - Device: CPU - Batch Size: 32 - Model: ResNet-50",
Higher Results Are Better
"a",13.803526611753
"b",13.409689642522
"c",14.242782165284
"PyTorch 2.1 - Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l",
Higher Results Are Better
"a",7.1457645126707
"b",7.4582479765151
"c",7.5579525977365
"PyTorch 2.1 - Device: CPU - Batch Size: 32 - Model: ResNet-152",
Higher Results Are Better
"a",5.3583941045314
"b",5.4078981142589
"c",5.6373691888382
"PyTorch 2.1 - Device: CPU - Batch Size: 64 - Model: ResNet-50",
Higher Results Are Better
"a",13.717380880684
"b",13.341645294749
"c",13.969720184074
"PyTorch 2.1 - Device: CPU - Batch Size: 16 - Model: ResNet-152",
Higher Results Are Better
"a",5.5725355169842
"b",5.4125772068523
"c",5.6527083661312
"PyTorch 2.1 - Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_l",
Higher Results Are Better
"a",3.8516116066634
"b",3.9974134451628
"c",4.0011198673066
"PyTorch 2.1 - Device: CPU - Batch Size: 1 - Model: ResNet-50",
Higher Results Are Better
"a",31.880750579071
"b",31.340132841487
"c",32.323599628405
"PyTorch 2.1 - Device: CPU - Batch Size: 512 - Model: ResNet-152",
Higher Results Are Better
"a",5.2701277629243
"b",5.4318835819466
"c",5.4103436238628
"PyTorch 2.1 - Device: CPU - Batch Size: 64 - Model: ResNet-152",
Higher Results Are Better
"a",5.2442163439735
"b",5.3721617775067
"c",5.3912308836054
"Blender 4.0 - Blend File: BMW27 - Compute: CPU-Only",
Lower Results Are Better
"a",
"b",
"c",
"PyTorch 2.1 - Device: CPU - Batch Size: 256 - Model: ResNet-50",
Higher Results Are Better
"a",13.46366655662
"b",13.415323451971
"c",13.609743826545
"PyTorch 2.1 - Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l",
Higher Results Are Better
"a",4.0160165942381
"b",3.9841971456836
"c",4.0190335884372
"PyTorch 2.1 - Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l",
Higher Results Are Better
"a",3.9863780697415
"b",4.0271417523628
"c",4.0220144925881
"PyTorch 2.1 - Device: CPU - Batch Size: 256 - Model: ResNet-152",
Higher Results Are Better
"a",5.349481072607
"b",5.3964961601721
"c",5.4004235958309
"PyTorch 2.1 - Device: CPU - Batch Size: 256 - Model: Efficientnet_v2_l",
Higher Results Are Better
"a",3.9793258847966
"b",4.0137183264756
"c",3.987866088225
"PyTorch 2.1 - Device: CPU - Batch Size: 512 - Model: ResNet-50",
Higher Results Are Better
"a",13.379458077769
"b",13.391440243133
"c",13.416289629164
"Blender 4.0 - Blend File: Pabellon Barcelona - Compute: CPU-Only",
Lower Results Are Better
"a",
"b",
"c",
"PyTorch 2.1 - Device: CPU - Batch Size: 512 - Model: Efficientnet_v2_l",
Higher Results Are Better
"a",4.0133051636392
"b",4.0186199568141
"c",4.0074327077163
"Blender 4.0 - Blend File: Fishy Cat - Compute: CPU-Only",
Lower Results Are Better
"a",
"b",
"c",