Intel Core i7-1185G7 testing with a Dell 0DXP1F (3.7.0 BIOS) and Intel Xe TGL GT2 15GB 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 2311191-PTS-FS16700400
fs,
"PyTorch 2.1 - Device: CPU - Batch Size: 1 - Model: ResNet-152",
Higher Results Are Better
"s",11.511179071397
"b",9.9250391222348
"c",10.972517256465
"d",9.8078813128115,9.8090945270061,9.7503144129976
"PyTorch 2.1 - Device: CPU - Batch Size: 16 - Model: ResNet-50",
Higher Results Are Better
"s",14.23000601336
"b",13.780671858289
"c",13.784964837558
"d",13.908605031177,13.743372543565,13.786739116417
"PyTorch 2.1 - Device: CPU - Batch Size: 16 - Model: ResNet-152",
Higher Results Are Better
"s",5.494018555424
"b",5.630613121482
"c",5.6174514595531
"d",5.628830063736,5.6195361485565,5.4982191827822
"PyTorch 2.1 - Device: CPU - Batch Size: 32 - Model: ResNet-50",
Higher Results Are Better
"s",13.863458272838
"b",13.649896235228
"c",13.787831517516
"d",13.730892571529,13.391019592594,13.465623969805
"PyTorch 2.1 - Device: CPU - Batch Size: 256 - Model: ResNet-50",
Higher Results Are Better
"s",13.903394176269
"b",13.756784059663
"c",13.805476069244
"d",13.773192490449,13.434888168686,13.831780834227
"PyTorch 2.1 - Device: CPU - Batch Size: 64 - Model: ResNet-152",
Higher Results Are Better
"s",5.5357753840398
"b",5.6113394462829
"c",5.6126117307456
"d",5.619760647089,5.6165491588708,5.6274244468824
"PyTorch 2.1 - Device: CPU - Batch Size: 256 - Model: ResNet-152",
Higher Results Are Better
"s",5.5514458165369
"b",5.602440427118
"c",5.5902719671328
"d",5.6126598327547,5.626619786478,5.628915303172
"Blender 4.0 - Blend File: Classroom - Compute: CPU-Only",
Lower Results Are Better
"s",
"b",
"c",
"d",1103.88,1101,1152.39,1098.07
"PyTorch 2.1 - Device: CPU - Batch Size: 256 - Model: Efficientnet_v2_l",
Higher Results Are Better
"s",4.1320728018876
"b",4.0759132520323
"c",4.1188795334968
"d",4.1241883302234,4.1314313483615,4.116692585758
"PyTorch 2.1 - Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l",
Higher Results Are Better
"s",4.0834334606028
"b",4.1146441402874
"c",4.1266363251432
"d",4.1319422175085,4.1201498792544,4.1257380910754
"PyTorch 2.1 - Device: CPU - Batch Size: 512 - Model: ResNet-152",
Higher Results Are Better
"s",5.5552406620884
"b",5.5870008002704
"c",5.5916148978744
"d",5.6380649961546,5.6311549955459,5.6023765277869
"PyTorch 2.1 - Device: CPU - Batch Size: 32 - Model: ResNet-152",
Higher Results Are Better
"s",5.569188255855
"b",5.5830087687063
"c",5.6075449336577
"d",5.6286136731952,5.5989484495295,5.6245413804303
"PyTorch 2.1 - Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l",
Higher Results Are Better
"s",7.3652079666105
"b",7.3182700447835
"c",7.3570957796393
"d",7.2724747265412,7.3622462430499,7.3668375180843
"PyTorch 2.1 - Device: CPU - Batch Size: 512 - Model: ResNet-50",
Higher Results Are Better
"s",13.828636385816
"b",13.744535157276
"c",13.806909052406
"d",13.733200790998,13.774609711784,13.811351880574
"PyTorch 2.1 - Device: CPU - Batch Size: 64 - Model: ResNet-50",
Higher Results Are Better
"s",13.823793616351
"b",13.754927143098
"c",13.79124557077
"d",13.788371743594,13.839497035519,13.743139870586
"PyTorch 2.1 - Device: CPU - Batch Size: 512 - Model: Efficientnet_v2_l",
Higher Results Are Better
"s",4.0960037154098
"b",4.1159398151675
"c",4.1167792622971
"d",4.12164815533,4.1094096803976,4.1076116880391
"PyTorch 2.1 - Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_l",
Higher Results Are Better
"s",4.096000595414
"b",4.1149823529899
"c",4.1187571974449
"d",4.120384540691,4.1106207853505,4.1148988870283
"Blender 4.0 - Blend File: BMW27 - Compute: CPU-Only",
Lower Results Are Better
"s",
"b",
"c",
"d",416.28,416.16,416.49
"Blender 4.0 - Blend File: Pabellon Barcelona - Compute: CPU-Only",
Lower Results Are Better
"s",
"b",
"c",
"d",1400.18,1401.45,1404.78
"PyTorch 2.1 - Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l",
Higher Results Are Better
"s",4.1147517873636
"b",4.1222842366246
"c",4.1183529582372
"d",4.1168568323095,4.1103751313091,4.1005720012978
"Blender 4.0 - Blend File: Fishy Cat - Compute: CPU-Only",
Lower Results Are Better
"s",
"b",
"c",
"d",529.1,530.06,527.17
"PyTorch 2.1 - Device: CPU - Batch Size: 1 - Model: ResNet-50",
Higher Results Are Better
"s",31.078140728109
"b",30.148218885509
"c",30.618442916126
"d",30.13281295573,24.192384512902,24.068787314957,24.242492917146,24.368307107713,24.339639271783,23.99042446802,24.530450927512,24.503550827948,24.404502198533,24.23358148637,24.371526983769,24.323870035519