AMD Ryzen 5 5500U testing with a NB01 TUXEDO Aura 15 Gen2 NL5xNU (1.07.11RTR1 BIOS) and AMD Lucienne 512MB on Tuxedo 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 2403275-NE-TESTS110635
tests,
"Blender 4.1 - Blend File: BMW27 - 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",
"PyTorch 2.2.1 - Device: CPU - Batch Size: 1 - Model: ResNet-50",
Higher Results Are Better
"a",21.003093773644
"b",21.309101752615
"PyTorch 2.2.1 - Device: CPU - Batch Size: 1 - Model: ResNet-152",
Higher Results Are Better
"a",9.3514570877573
"b",9.1485886317686
"PyTorch 2.2.1 - Device: CPU - Batch Size: 16 - Model: ResNet-50",
Higher Results Are Better
"a",13.034448113324
"b",13.18550093196
"PyTorch 2.2.1 - Device: CPU - Batch Size: 32 - Model: ResNet-50",
Higher Results Are Better
"a",12.83929749293
"b",13.005135544985
"PyTorch 2.2.1 - Device: CPU - Batch Size: 64 - Model: ResNet-50",
Higher Results Are Better
"a",12.910743092964
"b",12.745811062527
"PyTorch 2.2.1 - Device: CPU - Batch Size: 16 - Model: ResNet-152",
Higher Results Are Better
"a",5.6733783512074
"b",5.5022587349621
"PyTorch 2.2.1 - Device: CPU - Batch Size: 256 - Model: ResNet-50",
Higher Results Are Better
"a",12.837502471183
"b",12.901957872097
"PyTorch 2.2.1 - Device: CPU - Batch Size: 32 - Model: ResNet-152",
Higher Results Are Better
"a",5.5490138608091
"b",5.4877486823
"PyTorch 2.2.1 - Device: CPU - Batch Size: 512 - Model: ResNet-50",
Higher Results Are Better
"a",12.681313968994
"b",12.211414899464
"PyTorch 2.2.1 - Device: CPU - Batch Size: 64 - Model: ResNet-152",
Higher Results Are Better
"a",5.4582362772437
"b",5.509047178563
"PyTorch 2.2.1 - Device: CPU - Batch Size: 256 - Model: ResNet-152",
Higher Results Are Better
"a",5.2463096346737
"b",5.5001727624335
"PyTorch 2.2.1 - Device: CPU - Batch Size: 512 - Model: ResNet-152",
Higher Results Are Better
"a",5.2278944773868
"b",5.5971973126784
"PyTorch 2.2.1 - Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l",
Higher Results Are Better
"a",5.1620783198225
"b",5.5540468663865
"PyTorch 2.2.1 - Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l",
Higher Results Are Better
"a",3.4343498708651
"b",3.6484925104996
"PyTorch 2.2.1 - Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l",
Higher Results Are Better
"a",3.397234944352
"b",3.5952254601653
"PyTorch 2.2.1 - Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_l",
Higher Results Are Better
"a",3.4186651525693
"b",3.623148723575
"PyTorch 2.2.1 - Device: CPU - Batch Size: 256 - Model: Efficientnet_v2_l",
Higher Results Are Better
"a",3.3295780034487
"b",3.5839395185628
"PyTorch 2.2.1 - Device: CPU - Batch Size: 512 - Model: Efficientnet_v2_l",
Higher Results Are Better
"a",3.4305275707406
"b",3.5992365417175
"TensorFlow 2.16.1 - Device: CPU - Batch Size: 1 - Model: VGG-16",
Higher Results Are Better
"a",
"b",
"TensorFlow 2.16.1 - Device: CPU - Batch Size: 1 - Model: AlexNet",
Higher Results Are Better
"a",
"b",
"TensorFlow 2.16.1 - Device: CPU - Batch Size: 16 - Model: VGG-16",
Higher Results Are Better
"a",
"b",
"TensorFlow 2.16.1 - Device: CPU - Batch Size: 32 - Model: VGG-16",
Higher Results Are Better
"a",
"b",
"TensorFlow 2.16.1 - Device: CPU - Batch Size: 16 - Model: AlexNet",
Higher Results Are Better
"a",
"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",
"Timed Mesa Compilation 24.0 - Time To Compile",
Lower Results Are Better
"a",
"b",