tensorflow-212-intel-raptorlake

Intel Core i9-13900K testing with a ASUS PRIME Z790-P WIFI (0809 BIOS) and AMD Radeon RX 6800 16GB on Ubuntu 23.04 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2303296-NE-TENSORFLO56.

tensorflow-212-intel-raptorlake ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen ResolutionabcdIntel Core i9-13900K @ 4.00GHz (24 Cores / 32 Threads)ASUS PRIME Z790-P WIFI (0809 BIOS)Intel Device 7a2732GB1000GB Western Digital WDS100T1X0E-00AFY0AMD Radeon RX 6800 16GB (2475/1000MHz)Realtek ALC897ASUS VP28UIntel Device 7a70Ubuntu 23.045.19.0-21-generic (x86_64)GNOME Shell 43.2X Server + Wayland4.6 Mesa 22.3.6 (LLVM 15.0.7 DRM 3.47)GCC 12.2.0ext43840x2160OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseProcessor Details- Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x112 - Thermald 2.5.2 Python Details- Python 3.11.1Security Details- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: 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 IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected

tensorflow-212-intel-raptorlake tensorflow: CPU - 16 - VGG-16tensorflow: CPU - 32 - VGG-16tensorflow: CPU - 64 - VGG-16tensorflow: CPU - 16 - AlexNettensorflow: CPU - 256 - VGG-16tensorflow: CPU - 32 - AlexNettensorflow: CPU - 64 - AlexNettensorflow: CPU - 256 - AlexNettensorflow: CPU - 512 - AlexNettensorflow: CPU - 16 - GoogLeNettensorflow: CPU - 16 - ResNet-50tensorflow: CPU - 32 - GoogLeNettensorflow: CPU - 32 - ResNet-50tensorflow: CPU - 64 - GoogLeNettensorflow: CPU - 64 - ResNet-50tensorflow: CPU - 256 - GoogLeNettensorflow: CPU - 256 - ResNet-50tensorflow: CPU - 512 - GoogLeNetabcd11.2311.2011.32164.4812.31210.48237.38252.14255.70120.1937.30112.6536.20111.3035.86109.0035.2210.8911.0511.26164.0412.27210.18237.13251.57256.07120.3437.59115.1236.18110.2535.74108.8835.11109.9311.2311.1811.27164.3212.27209.75237.49252.07256.03121.2737.61113.436.27110.2935.83109.0835.07110.1511.2411.1611.32164.3612.29210.21236.83251.15257.1118.6137.47115.8436.31111.7335.79109.2835.04109.92OpenBenchmarking.org

TensorFlow

Device: CPU - Batch Size: 16 - Model: VGG-16

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: VGG-16abcd3691215SE +/- 0.02, N = 3SE +/- 0.02, N = 311.2310.8911.2311.24

TensorFlow

Device: CPU - Batch Size: 32 - Model: VGG-16

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 32 - Model: VGG-16abcd3691215SE +/- 0.02, N = 3SE +/- 0.03, N = 311.2011.0511.1811.16

TensorFlow

Device: CPU - Batch Size: 64 - Model: VGG-16

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: VGG-16abcd3691215SE +/- 0.01, N = 3SE +/- 0.02, N = 311.3211.2611.2711.32

TensorFlow

Device: CPU - Batch Size: 16 - Model: AlexNet

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: AlexNetabcd4080120160200SE +/- 0.18, N = 3SE +/- 0.25, N = 3164.48164.04164.32164.36

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 256 - Model: VGG-16abcd3691215SE +/- 0.01, N = 3SE +/- 0.02, N = 312.3112.2712.2712.29

TensorFlow

Device: CPU - Batch Size: 32 - Model: AlexNet

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 32 - Model: AlexNetabcd50100150200250SE +/- 0.16, N = 3SE +/- 0.14, N = 3210.48210.18209.75210.21

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: AlexNetabcd50100150200250SE +/- 0.05, N = 3SE +/- 0.20, N = 3237.38237.13237.49236.83

TensorFlow

Device: CPU - Batch Size: 256 - Model: AlexNet

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 256 - Model: AlexNetabcd60120180240300SE +/- 0.49, N = 3SE +/- 0.31, N = 3252.14251.57252.07251.15

TensorFlow

Device: CPU - Batch Size: 512 - Model: AlexNet

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 512 - Model: AlexNetabcd60120180240300SE +/- 0.09, N = 3SE +/- 0.16, N = 3255.70256.07256.03257.10

TensorFlow

Device: CPU - Batch Size: 16 - Model: GoogLeNet

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: GoogLeNetabcd306090120150SE +/- 0.77, N = 3SE +/- 0.81, N = 3120.19120.34121.27118.61

TensorFlow

Device: CPU - Batch Size: 16 - Model: ResNet-50

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: ResNet-50abcd918273645SE +/- 0.12, N = 3SE +/- 0.10, N = 337.3037.5937.6137.47

TensorFlow

Device: CPU - Batch Size: 32 - Model: GoogLeNet

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 32 - Model: GoogLeNetabcd306090120150SE +/- 0.58, N = 3SE +/- 0.21, N = 3112.65115.12113.40115.84

TensorFlow

Device: CPU - Batch Size: 32 - Model: ResNet-50

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 32 - Model: ResNet-50abcd816243240SE +/- 0.03, N = 3SE +/- 0.12, N = 336.2036.1836.2736.31

TensorFlow

Device: CPU - Batch Size: 64 - Model: GoogLeNet

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: GoogLeNetabcd306090120150SE +/- 0.16, N = 3SE +/- 0.28, N = 3111.30110.25110.29111.73

TensorFlow

Device: CPU - Batch Size: 64 - Model: ResNet-50

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: ResNet-50abcd816243240SE +/- 0.04, N = 3SE +/- 0.08, N = 335.8635.7435.8335.79

TensorFlow

Device: CPU - Batch Size: 256 - Model: GoogLeNet

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 256 - Model: GoogLeNetabcd20406080100SE +/- 0.39, N = 3SE +/- 0.26, N = 3109.00108.88109.08109.28

TensorFlow

Device: CPU - Batch Size: 256 - Model: ResNet-50

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 256 - Model: ResNet-50abcd816243240SE +/- 0.07, N = 3SE +/- 0.04, N = 335.2235.1135.0735.04

TensorFlow

Device: CPU - Batch Size: 512 - Model: GoogLeNet

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 512 - Model: GoogLeNetbcd20406080100SE +/- 0.30, N = 3109.93110.15109.92

Phoronix Test Suite v10.8.4