Tensorflow Intel Core Ultra 9 285K testing with a MSI MEG Z890 UNIFY-X (MS-7E20) v1.0 (1.A10 BIOS) and MSI Intel Arc A750 DG2 8GB on Ubuntu 24.10 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2412083-NE-TENSORFLO25&grw .
Tensorflow Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server OpenGL Compiler File-System Screen Resolution Intel ARC A750 Intel Core Ultra 9 285K @ 5.10GHz (24 Cores) MSI MEG Z890 UNIFY-X (MS-7E20) v1.0 (1.A10 BIOS) Intel Device ae7f 2 x 16GB DDR5-6000MT/s Corsair CMH32GX5M2B6000Z30 1024GB Wodposit NVMe SSD MSI Intel Arc A750 DG2 8GB Intel DG2 Audio PiKVM V3 Realtek Device 5000 + Intel Wi-Fi 7 Ubuntu 24.10 6.12.1-061201-generic (x86_64) GNOME Shell 47.0 X Server + Wayland 4.6 Mesa 24.3.1 kisak-mesa PPA GCC 14.2.0 ext4 1920x1080 OpenBenchmarking.org - Transparent Huge Pages: madvise - Scaling Governor: intel_pstate powersave (EPP: performance) - CPU Microcode: 0x110 - Thermald 2.5.8 - Python 3.12.7 - gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS; IBPB: conditional; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected
Tensorflow tensorflow: GPU - 1 - VGG-16 tensorflow: GPU - 1 - AlexNet tensorflow: GPU - 16 - VGG-16 tensorflow: GPU - 32 - VGG-16 tensorflow: GPU - 64 - VGG-16 tensorflow: GPU - 16 - AlexNet tensorflow: GPU - 32 - AlexNet tensorflow: GPU - 1 - GoogLeNet tensorflow: GPU - 1 - ResNet-50 tensorflow: GPU - 256 - AlexNet tensorflow: GPU - 512 - AlexNet tensorflow: GPU - 16 - GoogLeNet tensorflow: GPU - 16 - ResNet-50 tensorflow: GPU - 32 - GoogLeNet tensorflow: GPU - 32 - ResNet-50 tensorflow: GPU - 64 - GoogLeNet tensorflow: GPU - 64 - ResNet-50 tensorflow: GPU - 256 - GoogLeNet tensorflow: GPU - 256 - ResNet-50 tensorflow: GPU - 512 - GoogLeNet tensorflow: GPU - 512 - ResNet-50 Intel ARC A750 1.71 15.93 2.40 2.43 2.43 39.62 43.01 15.75 5.25 46.35 47.77 23.95 7.87 26.52 8.08 27.95 8.20 29.32 8.33 29.43 OpenBenchmarking.org
TensorFlow Device: GPU - Batch Size: 1 - Model: VGG-16 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: GPU - Batch Size: 1 - Model: VGG-16 Intel ARC A750 0.3848 0.7696 1.1544 1.5392 1.924 SE +/- 0.01, N = 3 1.71
TensorFlow Device: GPU - Batch Size: 1 - Model: AlexNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: GPU - Batch Size: 1 - Model: AlexNet Intel ARC A750 4 8 12 16 20 SE +/- 0.11, N = 12 15.93
TensorFlow Device: GPU - Batch Size: 16 - Model: VGG-16 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: GPU - Batch Size: 16 - Model: VGG-16 Intel ARC A750 0.54 1.08 1.62 2.16 2.7 SE +/- 0.00, N = 3 2.40
TensorFlow Device: GPU - Batch Size: 32 - Model: VGG-16 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: GPU - Batch Size: 32 - Model: VGG-16 Intel ARC A750 0.5468 1.0936 1.6404 2.1872 2.734 SE +/- 0.00, N = 3 2.43
TensorFlow Device: GPU - Batch Size: 64 - Model: VGG-16 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: GPU - Batch Size: 64 - Model: VGG-16 Intel ARC A750 0.5468 1.0936 1.6404 2.1872 2.734 SE +/- 0.01, N = 3 2.43
TensorFlow Device: GPU - Batch Size: 16 - Model: AlexNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: GPU - Batch Size: 16 - Model: AlexNet Intel ARC A750 9 18 27 36 45 SE +/- 0.26, N = 15 39.62
TensorFlow Device: GPU - Batch Size: 32 - Model: AlexNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: GPU - Batch Size: 32 - Model: AlexNet Intel ARC A750 10 20 30 40 50 SE +/- 0.23, N = 3 43.01
TensorFlow Device: GPU - Batch Size: 1 - Model: GoogLeNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: GPU - Batch Size: 1 - Model: GoogLeNet Intel ARC A750 4 8 12 16 20 SE +/- 0.10, N = 3 15.75
TensorFlow Device: GPU - Batch Size: 1 - Model: ResNet-50 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: GPU - Batch Size: 1 - Model: ResNet-50 Intel ARC A750 1.1813 2.3626 3.5439 4.7252 5.9065 SE +/- 0.05, N = 8 5.25
TensorFlow Device: GPU - Batch Size: 256 - Model: AlexNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: GPU - Batch Size: 256 - Model: AlexNet Intel ARC A750 11 22 33 44 55 SE +/- 0.09, N = 3 46.35
TensorFlow Device: GPU - Batch Size: 512 - Model: AlexNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: GPU - Batch Size: 512 - Model: AlexNet Intel ARC A750 11 22 33 44 55 SE +/- 0.01, N = 3 47.77
TensorFlow Device: GPU - Batch Size: 16 - Model: GoogLeNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: GPU - Batch Size: 16 - Model: GoogLeNet Intel ARC A750 6 12 18 24 30 SE +/- 0.03, N = 3 23.95
TensorFlow Device: GPU - Batch Size: 16 - Model: ResNet-50 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: GPU - Batch Size: 16 - Model: ResNet-50 Intel ARC A750 2 4 6 8 10 SE +/- 0.02, N = 3 7.87
TensorFlow Device: GPU - Batch Size: 32 - Model: GoogLeNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: GPU - Batch Size: 32 - Model: GoogLeNet Intel ARC A750 6 12 18 24 30 SE +/- 0.03, N = 3 26.52
TensorFlow Device: GPU - Batch Size: 32 - Model: ResNet-50 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: GPU - Batch Size: 32 - Model: ResNet-50 Intel ARC A750 2 4 6 8 10 SE +/- 0.06, N = 3 8.08
TensorFlow Device: GPU - Batch Size: 64 - Model: GoogLeNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: GPU - Batch Size: 64 - Model: GoogLeNet Intel ARC A750 7 14 21 28 35 SE +/- 0.01, N = 3 27.95
TensorFlow Device: GPU - Batch Size: 64 - Model: ResNet-50 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: GPU - Batch Size: 64 - Model: ResNet-50 Intel ARC A750 2 4 6 8 10 SE +/- 0.02, N = 3 8.20
TensorFlow Device: GPU - Batch Size: 256 - Model: GoogLeNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: GPU - Batch Size: 256 - Model: GoogLeNet Intel ARC A750 7 14 21 28 35 SE +/- 0.01, N = 3 29.32
TensorFlow Device: GPU - Batch Size: 256 - Model: ResNet-50 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: GPU - Batch Size: 256 - Model: ResNet-50 Intel ARC A750 2 4 6 8 10 SE +/- 0.04, N = 3 8.33
TensorFlow Device: GPU - Batch Size: 512 - Model: GoogLeNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: GPU - Batch Size: 512 - Model: GoogLeNet Intel ARC A750 7 14 21 28 35 SE +/- 0.01, N = 3 29.43
Phoronix Test Suite v10.8.5