Tests for a future article. AMD EPYC 8534P 64-Core testing with a AMD Cinnabar (RCB1009C BIOS) and ASPEED 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 2403268-NE-EPYCSIENA58
epyc siena,
"TensorFlow 2.16.1 - Device: CPU - Batch Size: 1 - Model: VGG-16",
Higher Results Are Better
"a",11.34,11.42,11.43
"b",
"TensorFlow 2.16.1 - Device: CPU - Batch Size: 1 - Model: AlexNet",
Higher Results Are Better
"a",34.49,34.32,34.34
"b",
"TensorFlow 2.16.1 - Device: CPU - Batch Size: 16 - Model: VGG-16",
Higher Results Are Better
"a",39.85,39.79,39.69
"b",
"TensorFlow 2.16.1 - Device: CPU - Batch Size: 32 - Model: VGG-16",
Higher Results Are Better
"a",42.82,42.79,42.84
"b",
"TensorFlow 2.16.1 - Device: CPU - Batch Size: 64 - Model: VGG-16",
Higher Results Are Better
"a",44.7,44.68,44.68
"b",
"TensorFlow 2.16.1 - Device: CPU - Batch Size: 16 - Model: AlexNet",
Higher Results Are Better
"a",349.97,349.13,348.35
"b",
"TensorFlow 2.16.1 - Device: CPU - Batch Size: 256 - Model: VGG-16",
Higher Results Are Better
"a",45.77,45.79,45.77
"b",
"TensorFlow 2.16.1 - Device: CPU - Batch Size: 32 - Model: AlexNet",
Higher Results Are Better
"a",
"b",
"TensorFlow 2.16.1 - Device: CPU - Batch Size: 64 - Model: AlexNet",
Higher Results Are Better
"a",
"b",
"TensorFlow 2.16.1 - Device: CPU - Batch Size: 1 - Model: GoogLeNet",
Higher Results Are Better
"a",
"b",
"TensorFlow 2.16.1 - Device: CPU - Batch Size: 1 - Model: ResNet-50",
Higher Results Are Better
"a",
"b",
"TensorFlow 2.16.1 - Device: CPU - Batch Size: 256 - Model: AlexNet",
Higher Results Are Better
"a",
"b",
"TensorFlow 2.16.1 - Device: CPU - Batch Size: 512 - Model: AlexNet",
Higher Results Are Better
"a",
"b",
"TensorFlow 2.16.1 - Device: CPU - Batch Size: 16 - Model: GoogLeNet",
Higher Results Are Better
"a",
"b",
"TensorFlow 2.16.1 - Device: CPU - Batch Size: 16 - Model: ResNet-50",
Higher Results Are Better
"a",
"b",
"TensorFlow 2.16.1 - Device: CPU - Batch Size: 32 - Model: GoogLeNet",
Higher Results Are Better
"a",
"b",
"TensorFlow 2.16.1 - Device: CPU - Batch Size: 32 - Model: ResNet-50",
Higher Results Are Better
"a",
"b",
"TensorFlow 2.16.1 - Device: CPU - Batch Size: 64 - Model: GoogLeNet",
Higher Results Are Better
"a",
"b",
"TensorFlow 2.16.1 - Device: CPU - Batch Size: 64 - Model: ResNet-50",
Higher Results Are Better
"a",
"b",
"TensorFlow 2.16.1 - Device: CPU - Batch Size: 256 - Model: GoogLeNet",
Higher Results Are Better
"a",
"b",
"TensorFlow 2.16.1 - Device: CPU - Batch Size: 256 - Model: ResNet-50",
Higher Results Are Better
"a",
"b",
"TensorFlow 2.16.1 - Device: CPU - Batch Size: 512 - Model: GoogLeNet",
Higher Results Are Better
"a",
"b",
"TensorFlow 2.16.1 - Device: CPU - Batch Size: 512 - Model: ResNet-50",
Higher Results Are Better
"a",
"b",
"Blender 4.1 - Blend File: BMW27 - Compute: CPU-Only",
Lower Results Are Better
"a",
"b",
"Blender 4.1 - Blend File: Junkshop - Compute: CPU-Only",
Lower Results Are Better
"a",
"b",
"Blender 4.1 - Blend File: Classroom - Compute: CPU-Only",
Lower Results Are Better
"a",
"b",
"Blender 4.1 - Blend File: Fishy Cat - Compute: CPU-Only",
Lower Results Are Better
"a",
"b",
"Blender 4.1 - Blend File: Barbershop - Compute: CPU-Only",
Lower Results Are Better
"a",
"b",
"Blender 4.1 - Blend File: Pabellon Barcelona - Compute: CPU-Only",
Lower Results Are Better
"a",
"b",