Intel Core i9-14900K testing with a ASUS PRIME Z790-P WIFI (1402 BIOS) and Intel Arc A770 DG2 16GB 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 2401078-PTS-RA95128640
ra,
"Quicksilver 20230818 - Input: CTS2",
Higher Results Are Better
"a",
"b",
"c",
"d",
"Quicksilver 20230818 - Input: CORAL2 P2",
Higher Results Are Better
"a",
"b",
"c",
"d",
"PyTorch 2.1 - Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l",
Higher Results Are Better
"a",11.588776825469
"b",11.633423757527
"c",8.7200256263356
"d",8.6986721837883
"PyTorch 2.1 - Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l",
Higher Results Are Better
"a",11.565205029255
"b",8.699929709416
"c",8.8126711989918
"d",11.66803245793
"TensorFlow 2.12 - Device: CPU - Batch Size: 16 - Model: VGG-16",
Higher Results Are Better
"a",
"b",
"c",
"d",
"Y-Cruncher 0.8.3 - Pi Digits To Calculate: 5B",
Lower Results Are Better
"a",
"b",
"c",
"d",
"PyTorch 2.1 - Device: CPU - Batch Size: 32 - Model: ResNet-152",
Higher Results Are Better
"a",16.986223306652
"b",15.765029561186
"c",17.036380663434
"d",16.999268188555
"PyTorch 2.1 - Device: CPU - Batch Size: 16 - Model: ResNet-152",
Higher Results Are Better
"a",17.004112419228
"b",17.127344563857
"c",17.080425618332
"d",16.998092737938
"PyTorch 2.1 - Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l",
Higher Results Are Better
"a",13.293123476312
"b",12.892875339305
"c",13.19071621788
"d",12.945813366001
"Speedb 2.7 - Test: Random Fill Sync",
Higher Results Are Better
"a",
"b",
"c",
"d",
"Speedb 2.7 - Test: Random Fill",
Higher Results Are Better
"a",
"b",
"c",
"d",
"Speedb 2.7 - Test: Update Random",
Higher Results Are Better
"a",
"b",
"c",
"d",
"Speedb 2.7 - Test: Read While Writing",
Higher Results Are Better
"a",
"b",
"c",
"d",
"Speedb 2.7 - Test: Read Random Write Random",
Higher Results Are Better
"a",
"b",
"c",
"d",
"Speedb 2.7 - Test: Random Read",
Higher Results Are Better
"a",
"b",
"c",
"d",
"Quicksilver 20230818 - Input: CORAL2 P1",
Higher Results Are Better
"a",
"b",
"c",
"d",
"TensorFlow 2.12 - Device: CPU - Batch Size: 16 - Model: ResNet-50",
Higher Results Are Better
"a",
"b",
"c",
"d",
"PyTorch 2.1 - Device: CPU - Batch Size: 16 - Model: ResNet-50",
Higher Results Are Better
"a",44.097285048651
"b",43.537983353318
"c",43.829192571739
"d",38.119880344475
"PyTorch 2.1 - Device: CPU - Batch Size: 1 - Model: ResNet-152",
Higher Results Are Better
"a",28.506262771404
"b",22.113865396937
"c",27.884345892284
"d",27.246421288298
"PyTorch 2.1 - Device: CPU - Batch Size: 32 - Model: ResNet-50",
Higher Results Are Better
"a",43.996260887555
"b",43.363546011502
"c",43.760036413873
"d",37.941720372707
"Speedb 2.7 - Test: Sequential Fill",
Higher Results Are Better
"a",
"b",
"c",
"d",
"Y-Cruncher 0.8.3 - Pi Digits To Calculate: 1B",
Lower Results Are Better
"a",
"b",
"c",
"d",
"TensorFlow 2.12 - Device: CPU - Batch Size: 1 - Model: VGG-16",
Higher Results Are Better
"a",
"b",
"c",
"d",
"PyTorch 2.1 - Device: CPU - Batch Size: 1 - Model: ResNet-50",
Higher Results Are Better
"a",73.640695765045
"b",71.636572509773
"c",58.930083477754
"d",73.133102441699
"TensorFlow 2.12 - Device: CPU - Batch Size: 16 - Model: GoogLeNet",
Higher Results Are Better
"a",
"b",
"c",
"d",
"ProjectPhysX OpenCL-Benchmark 1.2 - Operation: Memory Bandwidth Coalesced Write",
Higher Results Are Better
"a",
"a",
"b",
"c",
"d",
"ProjectPhysX OpenCL-Benchmark 1.2 - Operation: Memory Bandwidth Coalesced Read",
Higher Results Are Better
"a",
"a",
"b",
"c",
"d",
"ProjectPhysX OpenCL-Benchmark 1.2 - Operation: INT8 Compute",
Higher Results Are Better
"a",
"a",
"b",
"c",
"d",
"ProjectPhysX OpenCL-Benchmark 1.2 - Operation: INT16 Compute",
Higher Results Are Better
"a",
"a",
"b",
"c",
"d",
"ProjectPhysX OpenCL-Benchmark 1.2 - Operation: INT32 Compute",
Higher Results Are Better
"a",
"a",
"b",
"c",
"d",
"ProjectPhysX OpenCL-Benchmark 1.2 - Operation: INT64 Compute",
Higher Results Are Better
"a",
"a",
"b",
"c",
"d",
"ProjectPhysX OpenCL-Benchmark 1.2 - Operation: FP16 Compute",
Higher Results Are Better
"a",
"a",
"b",
"c",
"d",
"ProjectPhysX OpenCL-Benchmark 1.2 - Operation: FP32 Compute",
Higher Results Are Better
"a",
"b",
"c",
"d",
"TensorFlow 2.12 - Device: CPU - Batch Size: 16 - Model: AlexNet",
Higher Results Are Better
"a",
"b",
"c",
"d",
"Y-Cruncher 0.8.3 - Pi Digits To Calculate: 500M",
Lower Results Are Better
"a",
"b",
"c",
"d",
"TensorFlow 2.12 - Device: CPU - Batch Size: 1 - Model: ResNet-50",
Higher Results Are Better
"a",
"b",
"c",
"d",
"TensorFlow 2.12 - Device: CPU - Batch Size: 1 - Model: AlexNet",
Higher Results Are Better
"a",
"b",
"c",
"d",
"TensorFlow 2.12 - Device: CPU - Batch Size: 1 - Model: GoogLeNet",
Higher Results Are Better
"a",
"b",
"c",
"d",
"GpuOwl 7.2.1 - Exponent: 332220523",
Higher Results Are Better
"a",
"b",
"c",
"d",
"GpuOwl 7.2.1 - Exponent: 57885161",
Higher Results Are Better
"a",
"b",
"c",
"d",
"GpuOwl 7.2.1 - Exponent: 77936867",
Higher Results Are Better
"a",
"b",
"c",
"d",