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.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2412083-NE-TENSORFLO25
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Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
Intel ARC A750
December 07
  16 Hours, 8 Minutes
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Intel ARC A750

Processor: Intel Core Ultra 9 285K @ 5.10GHz (24 Cores), Motherboard: MSI MEG Z890 UNIFY-X (MS-7E20) v1.0 (1.A10 BIOS), Chipset: Intel Device ae7f, Memory: 2 x 16GB DDR5-6000MT/s Corsair CMH32GX5M2B6000Z30, Disk: 1024GB Wodposit NVMe SSD, Graphics: MSI Intel Arc A750 DG2 8GB, Audio: Intel DG2 Audio, Monitor: PiKVM V3, Network: Realtek Device 5000 + Intel Wi-Fi 7

OS: Ubuntu 24.10, Kernel: 6.12.1-061201-generic (x86_64), Desktop: GNOME Shell 47.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.3.1 kisak-mesa PPA, Compiler: GCC 14.2.0, File-System: ext4, Screen Resolution: 1920x1080

Kernel Notes: Transparent Huge Pages: madvise
Processor Notes: Scaling Governor: intel_pstate powersave (EPP: performance) - CPU Microcode: 0x110 - Thermald 2.5.8
Python Notes: Python 3.12.7
Security Notes: 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

TensorflowOpenBenchmarking.orgPhoronix Test SuiteIntel Core Ultra 9 285K @ 5.10GHz (24 Cores)MSI MEG Z890 UNIFY-X (MS-7E20) v1.0 (1.A10 BIOS)Intel Device ae7f2 x 16GB DDR5-6000MT/s Corsair CMH32GX5M2B6000Z301024GB Wodposit NVMe SSDMSI Intel Arc A750 DG2 8GBIntel DG2 AudioPiKVM V3Realtek Device 5000 + Intel Wi-Fi 7Ubuntu 24.106.12.1-061201-generic (x86_64)GNOME Shell 47.0X Server + Wayland4.6 Mesa 24.3.1 kisak-mesa PPAGCC 14.2.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen ResolutionTensorflow BenchmarksSystem Logs- 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

Tensorflowtensorflow: GPU - 512 - GoogLeNettensorflow: GPU - 256 - ResNet-50tensorflow: GPU - 256 - GoogLeNettensorflow: GPU - 64 - ResNet-50tensorflow: GPU - 64 - GoogLeNettensorflow: GPU - 32 - ResNet-50tensorflow: GPU - 32 - GoogLeNettensorflow: GPU - 16 - ResNet-50tensorflow: GPU - 16 - GoogLeNettensorflow: GPU - 512 - AlexNettensorflow: GPU - 256 - AlexNettensorflow: GPU - 1 - ResNet-50tensorflow: GPU - 1 - GoogLeNettensorflow: GPU - 32 - AlexNettensorflow: GPU - 16 - AlexNettensorflow: GPU - 64 - VGG-16tensorflow: GPU - 32 - VGG-16tensorflow: GPU - 16 - VGG-16tensorflow: GPU - 1 - AlexNettensorflow: GPU - 1 - VGG-16tensorflow: GPU - 256 - VGG-16Intel ARC A75029.438.3329.328.2027.958.0826.527.8723.9547.7746.355.2515.7543.0139.622.432.432.4015.931.71OpenBenchmarking.org

TensorFlow

This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: GPU - Batch Size: 512 - Model: GoogLeNetIntel ARC A750714212835SE +/- 0.01, N = 329.43

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: GPU - Batch Size: 256 - Model: ResNet-50Intel ARC A750246810SE +/- 0.04, N = 38.33

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: GPU - Batch Size: 256 - Model: GoogLeNetIntel ARC A750714212835SE +/- 0.01, N = 329.32

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: GPU - Batch Size: 64 - Model: ResNet-50Intel ARC A750246810SE +/- 0.02, N = 38.20

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: GPU - Batch Size: 64 - Model: GoogLeNetIntel ARC A750714212835SE +/- 0.01, N = 327.95

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: GPU - Batch Size: 32 - Model: ResNet-50Intel ARC A750246810SE +/- 0.06, N = 38.08

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: GPU - Batch Size: 32 - Model: GoogLeNetIntel ARC A750612182430SE +/- 0.03, N = 326.52

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: GPU - Batch Size: 16 - Model: ResNet-50Intel ARC A750246810SE +/- 0.02, N = 37.87

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: GPU - Batch Size: 16 - Model: GoogLeNetIntel ARC A750612182430SE +/- 0.03, N = 323.95

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: GPU - Batch Size: 512 - Model: AlexNetIntel ARC A7501122334455SE +/- 0.01, N = 347.77

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: GPU - Batch Size: 256 - Model: AlexNetIntel ARC A7501122334455SE +/- 0.09, N = 346.35

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: GPU - Batch Size: 1 - Model: ResNet-50Intel ARC A7501.18132.36263.54394.72525.9065SE +/- 0.05, N = 85.25

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: GPU - Batch Size: 1 - Model: GoogLeNetIntel ARC A75048121620SE +/- 0.10, N = 315.75

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: GPU - Batch Size: 32 - Model: AlexNetIntel ARC A7501020304050SE +/- 0.23, N = 343.01

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: GPU - Batch Size: 16 - Model: AlexNetIntel ARC A750918273645SE +/- 0.26, N = 1539.62

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: GPU - Batch Size: 64 - Model: VGG-16Intel ARC A7500.54681.09361.64042.18722.734SE +/- 0.01, N = 32.43

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: GPU - Batch Size: 32 - Model: VGG-16Intel ARC A7500.54681.09361.64042.18722.734SE +/- 0.00, N = 32.43

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: GPU - Batch Size: 16 - Model: VGG-16Intel ARC A7500.541.081.622.162.7SE +/- 0.00, N = 32.40

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: GPU - Batch Size: 1 - Model: AlexNetIntel ARC A75048121620SE +/- 0.11, N = 1215.93

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: GPU - Batch Size: 1 - Model: VGG-16Intel ARC A7500.38480.76961.15441.53921.924SE +/- 0.01, N = 31.71

Device: GPU - Batch Size: 512 - Model: ResNet-50

Intel ARC A750: The test quit with a non-zero exit status. E: Fatal Python error: Segmentation fault

Device: GPU - Batch Size: 64 - Model: AlexNet

Intel ARC A750: The test quit with a non-zero exit status.

Device: GPU - Batch Size: 512 - Model: VGG-16

Intel ARC A750: The test quit with a non-zero exit status. E: Fatal Python error: Segmentation fault

Device: GPU - Batch Size: 256 - Model: VGG-16

Intel ARC A750: The test quit with a non-zero exit status.

Intel ARC A750

Processor: Intel Core Ultra 9 285K @ 5.10GHz (24 Cores), Motherboard: MSI MEG Z890 UNIFY-X (MS-7E20) v1.0 (1.A10 BIOS), Chipset: Intel Device ae7f, Memory: 2 x 16GB DDR5-6000MT/s Corsair CMH32GX5M2B6000Z30, Disk: 1024GB Wodposit NVMe SSD, Graphics: MSI Intel Arc A750 DG2 8GB, Audio: Intel DG2 Audio, Monitor: PiKVM V3, Network: Realtek Device 5000 + Intel Wi-Fi 7

OS: Ubuntu 24.10, Kernel: 6.12.1-061201-generic (x86_64), Desktop: GNOME Shell 47.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.3.1 kisak-mesa PPA, Compiler: GCC 14.2.0, File-System: ext4, Screen Resolution: 1920x1080

Kernel Notes: Transparent Huge Pages: madvise
Processor Notes: Scaling Governor: intel_pstate powersave (EPP: performance) - CPU Microcode: 0x110 - Thermald 2.5.8
Python Notes: Python 3.12.7
Security Notes: 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

Testing initiated at 7 December 2024 16:59 by user test.