Tests for a future article. Intel Core i7-1280P testing with a MSI Prestige 14Evo A12M MS-14C6 (E14C6IMS.115 BIOS) and MSI Intel ADL GT2 8GB 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 2403296-NE-DLDL7839171
dldl,
"Blender 4.1 - Blend File: Barbershop - Compute: CPU-Only",
Lower Results Are Better
"a",
"b",
"BRL-CAD 7.38.2 - VGR Performance Metric",
Higher Results Are Better
"a",
"b",
"Blender 4.1 - Blend File: Pabellon Barcelona - Compute: CPU-Only",
Lower Results Are Better
"a",
"b",
"Blender 4.1 - Blend File: Classroom - Compute: CPU-Only",
Lower Results Are Better
"a",
"b",
"TensorFlow 2.16.1 - Device: CPU - Batch Size: 64 - Model: ResNet-50",
Higher Results Are Better
"a",
"b",
"PyTorch 2.2.1 - Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_l",
Higher Results Are Better
"a",3.6797713162736
"b",4.0327976175134
"PyTorch 2.2.1 - Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l",
Higher Results Are Better
"a",4.2022964252453
"b",4.0745507854523
"PyTorch 2.2.1 - Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l",
Higher Results Are Better
"a",4.2072319986051
"b",4.2030269860374
"PyTorch 2.2.1 - Device: CPU - Batch Size: 64 - Model: ResNet-152",
Higher Results Are Better
"a",5.4129913256164
"b",6.0118196749444
"PyTorch 2.2.1 - Device: CPU - Batch Size: 32 - Model: ResNet-152",
Higher Results Are Better
"a",5.4562549788055
"b",6.0260334925937
"PyTorch 2.2.1 - Device: CPU - Batch Size: 16 - Model: ResNet-152",
Higher Results Are Better
"a",5.9944760480268
"b",6.0048221268864
"Blender 4.1 - Blend File: Fishy Cat - Compute: CPU-Only",
Lower Results Are Better
"a",
"b",
"Blender 4.1 - Blend File: Junkshop - Compute: CPU-Only",
Lower Results Are Better
"a",
"b",
"TensorFlow 2.16.1 - Device: CPU - Batch Size: 32 - Model: ResNet-50",
Higher Results Are Better
"a",
"b",
"Stockfish 16.1 - Chess Benchmark",
Higher Results Are Better
"a",
"b",
"Blender 4.1 - Blend File: BMW27 - Compute: CPU-Only",
Lower Results Are Better
"a",
"b",
"PyTorch 2.2.1 - Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l",
Higher Results Are Better
"a",5.9243700941279
"b",6.0993224702508
"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: 16 - Model: ResNet-50",
Higher Results Are Better
"a",
"b",
"PyTorch 2.2.1 - Device: CPU - Batch Size: 32 - Model: ResNet-50",
Higher Results Are Better
"a",13.974337870611
"b",13.957348543492
"PyTorch 2.2.1 - Device: CPU - Batch Size: 16 - Model: ResNet-50",
Higher Results Are Better
"a",13.891935114485
"b",14.064515346325
"PyTorch 2.2.1 - Device: CPU - Batch Size: 1 - Model: ResNet-152",
Higher Results Are Better
"a",8.5997782774175
"b",10.118388728017
"PyTorch 2.2.1 - Device: CPU - Batch Size: 64 - Model: ResNet-50",
Higher Results Are Better
"a",15.383810293675
"b",15.369706456434
"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: 64 - Model: AlexNet",
Higher Results Are Better
"a",
"b",
"RocksDB 9.0 - Test: Random Fill Sync",
Higher Results Are Better
"a",
"b",
"RocksDB 9.0 - Test: Random Fill",
Higher Results Are Better
"a",
"b",
"RocksDB 9.0 - Test: Overwrite",
Higher Results Are Better
"a",
"b",
"RocksDB 9.0 - Test: Update Random",
Higher Results Are Better
"a",
"b",
"RocksDB 9.0 - Test: Read While Writing",
Higher Results Are Better
"a",
"b",
"RocksDB 9.0 - Test: Read Random Write Random",
Higher Results Are Better
"a",
"b",
"RocksDB 9.0 - Test: Random Read",
Higher Results Are Better
"a",
"b",
"PyTorch 2.2.1 - Device: CPU - Batch Size: 1 - Model: ResNet-50",
Higher Results Are Better
"a",27.594265857494
"b",23.278330880367
"Timed Mesa Compilation 24.0 - Time To Compile",
Lower 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: 32 - Model: AlexNet",
Higher Results Are Better
"a",
"b",
"TensorFlow 2.16.1 - Device: CPU - Batch Size: 16 - Model: AlexNet",
Higher Results Are Better
"a",
"b",
"RocksDB 9.0 - Test: Sequential Fill",
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: 1 - 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",