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&grr&sor.

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 - 256 - VGG-16tensorflow: CPU - 256 - ResNet-50tensorflow: CPU - 64 - VGG-16tensorflow: CPU - 512 - GoogLeNettensorflow: CPU - 32 - VGG-16tensorflow: CPU - 256 - GoogLeNettensorflow: CPU - 512 - AlexNettensorflow: CPU - 64 - ResNet-50tensorflow: CPU - 16 - VGG-16tensorflow: CPU - 256 - AlexNettensorflow: CPU - 32 - ResNet-50tensorflow: CPU - 64 - GoogLeNettensorflow: CPU - 16 - ResNet-50tensorflow: CPU - 32 - GoogLeNettensorflow: CPU - 64 - AlexNettensorflow: CPU - 32 - AlexNettensorflow: CPU - 16 - GoogLeNettensorflow: CPU - 16 - AlexNetabcd12.3135.2211.3211.20109.00255.7035.8611.23252.1436.20111.3037.30112.65237.38210.48120.19164.4812.2735.1111.26109.9311.05108.88256.0735.7410.89251.5736.18110.2537.59115.12237.13210.18120.34164.0412.2735.0711.27110.1511.18109.08256.0335.8311.23252.0736.27110.2937.61113.4237.49209.75121.27164.3212.2935.0411.32109.9211.16109.28257.135.7911.24251.1536.31111.7337.47115.84236.83210.21118.61164.36OpenBenchmarking.org

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 256 - Model: VGG-16adcb3691215SE +/- 0.01, N = 3SE +/- 0.02, N = 312.3112.2912.2712.27

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: 64 - Model: VGG-16

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: VGG-16dacb3691215SE +/- 0.01, N = 3SE +/- 0.02, N = 311.3211.3211.2711.26

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 512 - Model: GoogLeNetcbd20406080100SE +/- 0.30, N = 3110.15109.93109.92

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 32 - Model: VGG-16acdb3691215SE +/- 0.02, N = 3SE +/- 0.03, N = 311.2011.1811.1611.05

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 256 - Model: GoogLeNetdcab20406080100SE +/- 0.39, N = 3SE +/- 0.26, N = 3109.28109.08109.00108.88

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 512 - Model: AlexNetdbca60120180240300SE +/- 0.16, N = 3SE +/- 0.09, N = 3257.10256.07256.03255.70

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: ResNet-50acdb816243240SE +/- 0.04, N = 3SE +/- 0.08, N = 335.8635.8335.7935.74

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: VGG-16dcab3691215SE +/- 0.02, N = 3SE +/- 0.02, N = 311.2411.2311.2310.89

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 256 - Model: AlexNetacbd60120180240300SE +/- 0.49, N = 3SE +/- 0.31, N = 3252.14252.07251.57251.15

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 32 - Model: ResNet-50dcab816243240SE +/- 0.03, N = 3SE +/- 0.12, N = 336.3136.2736.2036.18

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: GoogLeNetdacb306090120150SE +/- 0.16, N = 3SE +/- 0.28, N = 3111.73111.30110.29110.25

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: ResNet-50cbda918273645SE +/- 0.10, N = 3SE +/- 0.12, N = 337.6137.5937.4737.30

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 32 - Model: GoogLeNetdbca306090120150SE +/- 0.21, N = 3SE +/- 0.58, N = 3115.84115.12113.40112.65

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: AlexNetcabd50100150200250SE +/- 0.05, N = 3SE +/- 0.20, N = 3237.49237.38237.13236.83

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 32 - Model: AlexNetadbc50100150200250SE +/- 0.16, N = 3SE +/- 0.14, N = 3210.48210.21210.18209.75

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: GoogLeNetcbad306090120150SE +/- 0.81, N = 3SE +/- 0.77, N = 3121.27120.34120.19118.61

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: AlexNetadcb4080120160200SE +/- 0.18, N = 3SE +/- 0.25, N = 3164.48164.36164.32164.04

Phoronix Test Suite v10.8.4