AMD Ryzen 7 7840U testing with a Framework FRANMDCP07 (03.03 BIOS) and AMD Phoenix1 512MB 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 2311177-NE-PYT09912200
pyt,
"PyTorch 2.1 - Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l",
Higher Results Are Better
"a",7.9545921197671
"b",8.0400487359548,8.1364751265331,8.0563529498877
"c",8.3226803149098
"PyTorch 2.1 - Device: CPU - Batch Size: 1 - Model: ResNet-152",
Higher Results Are Better
"a",19.744323734813
"b",19.057793686749,19.071926007342,18.731490735996
"c",19.687540824316
"PyTorch 2.1 - Device: CPU - Batch Size: 512 - Model: Efficientnet_v2_l",
Higher Results Are Better
"a",8.0013233046001
"b",8.229521717301,8.0300123311135,8.1447607674771
"c",8.2280249710343
"PyTorch 2.1 - Device: CPU - Batch Size: 256 - Model: Efficientnet_v2_l",
Higher Results Are Better
"a",7.9507616484844
"b",8.1872388840811,8.0792301788873,8.2087616737337
"c",8.1332101497128
"PyTorch 2.1 - Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l",
Higher Results Are Better
"a",7.9527655725333
"b",8.2177936345722,8.1380548657452,8.09384954045
"c",8.1187037916341
"PyTorch 2.1 - Device: CPU - Batch Size: 1 - Model: ResNet-50",
Higher Results Are Better
"a",48.379841783083
"b",48.073420449199,49.029184892673,46.408523955286,46.691268586231,46.341065655158,47.021562090695
"c",48.361737601553
"PyTorch 2.1 - Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_l",
Higher Results Are Better
"a",8.0715361272068
"b",8.1788711898288,8.0671677444018,8.2094823066693
"c",8.2559004266226
"PyTorch 2.1 - Device: CPU - Batch Size: 64 - Model: ResNet-152",
Higher Results Are Better
"a",11.944324667496
"b",11.952134269508,11.696621503891,11.70422319091
"c",12.037312886662
"PyTorch 2.1 - Device: CPU - Batch Size: 16 - Model: ResNet-50",
Higher Results Are Better
"a",28.413384012477
"b",27.823968020745,28.248831724955,27.816728580605
"c",27.813575904189
"PyTorch 2.1 - Device: CPU - Batch Size: 16 - Model: ResNet-152",
Higher Results Are Better
"a",12.035034807411
"b",11.980103611798,11.689917548991,11.919435088023
"c",11.81373369737
"PyTorch 2.1 - Device: CPU - Batch Size: 64 - Model: ResNet-50",
Higher Results Are Better
"a",28.49315257786
"b",28.103564987464,28.05081089528,27.882306676183
"c",28.001376018676
"PyTorch 2.1 - Device: CPU - Batch Size: 32 - Model: ResNet-152",
Higher Results Are Better
"a",12.062676569837
"b",11.705546730945,11.910987331668,11.957571269416
"c",12.013330891956
"PyTorch 2.1 - Device: CPU - Batch Size: 32 - Model: ResNet-50",
Higher Results Are Better
"a",28.290482443865
"b",28.059642667743,27.894763504125,28.194085703183
"c",27.831427994234
"PyTorch 2.1 - Device: CPU - Batch Size: 256 - Model: ResNet-50",
Higher Results Are Better
"a",28.640395286863
"b",28.193108680209,28.398690019807,27.946286338292
"c",28.192635999172
"PyTorch 2.1 - Device: CPU - Batch Size: 256 - Model: ResNet-152",
Higher Results Are Better
"a",11.893993758488
"b",11.836491196151,11.727040703914,11.709181284057
"c",11.927910750553
"PyTorch 2.1 - Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l",
Higher Results Are Better
"a",11.531814349631
"b",11.865936564919,11.581318680949,11.637072742459
"c",11.558742420513
"PyTorch 2.1 - Device: CPU - Batch Size: 512 - Model: ResNet-152",
Higher Results Are Better
"a",11.811219151943
"b",11.92115103834,11.958098383992,11.880195547833
"c",11.884215623441
"PyTorch 2.1 - Device: CPU - Batch Size: 512 - Model: ResNet-50",
Higher Results Are Better
"a",28.268067845557
"b",28.513156628254,28.318579881984,28.043963536312
"c",28.500018673897