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.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2303296-NE-TENSORFLO56
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a
March 28 2023
  4 Hours, 26 Minutes
b
March 28 2023
  4 Hours, 53 Minutes
c
March 29 2023
  1 Hour, 38 Minutes
d
March 29 2023
  1 Hour, 38 Minutes
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  3 Hours, 8 Minutes

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a

Kernel Notes: Transparent Huge Pages: madvise
Processor Notes: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x112 - Thermald 2.5.2
Python Notes: Python 3.11.1
Security Notes: 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

b

c

d

Processor: Intel Core i9-13900K @ 4.00GHz (24 Cores / 32 Threads), Motherboard: ASUS PRIME Z790-P WIFI (0809 BIOS), Chipset: Intel Device 7a27, Memory: 32GB, Disk: 1000GB Western Digital WDS100T1X0E-00AFY0, Graphics: AMD Radeon RX 6800 16GB (2475/1000MHz), Audio: Realtek ALC897, Monitor: ASUS VP28U, Network: Intel Device 7a70

OS: Ubuntu 23.04, Kernel: 5.19.0-21-generic (x86_64), Desktop: GNOME Shell 43.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.3.6 (LLVM 15.0.7 DRM 3.47), Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 3840x2160

tensorflow-212-intel-raptorlake OpenBenchmarking.orgPhoronix Test SuiteIntel 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 12.2.0ext43840x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen ResolutionTensorflow-212-intel-raptorlake BenchmarksSystem Logs- Transparent Huge Pages: madvise- Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x112 - Thermald 2.5.2 - Python 3.11.1- 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

abcdResult OverviewPhoronix Test Suite100%101%102%102%103%TensorFlowTensorFlowTensorFlowTensorFlowTensorFlowTensorFlowTensorFlowTensorFlowTensorFlowTensorFlowTensorFlowTensorFlowTensorFlowTensorFlowTensorFlowTensorFlowTensorFlowCPU - 16 - VGG-16CPU - 32 - GoogLeNetCPU - 16 - GoogLeNetCPU - 32 - VGG-16CPU - 64 - GoogLeNetCPU - 16 - ResNet-50CPU - 512 - AlexNetCPU - 64 - VGG-16CPU - 256 - ResNet-50CPU - 256 - AlexNetCPU - 256 - GoogLeNetCPU - 32 - ResNet-50CPU - 32 - AlexNetCPU - 64 - ResNet-50CPU - 256 - VGG-16CPU - 64 - AlexNetCPU - 16 - AlexNet

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

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 2.12Device: CPU - Batch Size: 16 - Model: VGG-16abcd3691215SE +/- 0.02, N = 3SE +/- 0.02, N = 311.2310.8911.2311.24
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: VGG-16abcd3691215Min: 11.19 / Avg: 11.23 / Max: 11.27Min: 10.85 / Avg: 10.89 / Max: 10.91

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
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 32 - Model: VGG-16abcd3691215Min: 11.16 / Avg: 11.2 / Max: 11.23Min: 11 / Avg: 11.05 / Max: 11.1

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
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: VGG-16abcd3691215Min: 11.31 / Avg: 11.32 / Max: 11.34Min: 11.24 / Avg: 11.26 / Max: 11.29

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
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: AlexNetabcd306090120150Min: 164.2 / Avg: 164.48 / Max: 164.82Min: 163.64 / Avg: 164.04 / Max: 164.5

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
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 256 - Model: VGG-16abcd48121620Min: 12.3 / Avg: 12.31 / Max: 12.32Min: 12.23 / Avg: 12.27 / Max: 12.3

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
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 32 - Model: AlexNetabcd4080120160200Min: 210.25 / Avg: 210.48 / Max: 210.79Min: 209.91 / Avg: 210.18 / Max: 210.37

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
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: AlexNetabcd4080120160200Min: 237.3 / Avg: 237.38 / Max: 237.47Min: 236.81 / Avg: 237.13 / Max: 237.5

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
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 256 - Model: AlexNetabcd50100150200250Min: 251.59 / Avg: 252.14 / Max: 253.11Min: 251 / Avg: 251.57 / Max: 252.07

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
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 512 - Model: AlexNetabcd50100150200250Min: 255.58 / Avg: 255.7 / Max: 255.87Min: 255.76 / Avg: 256.07 / Max: 256.29

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
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: GoogLeNetabcd20406080100Min: 118.66 / Avg: 120.19 / Max: 121.11Min: 118.72 / Avg: 120.34 / Max: 121.16

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
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: ResNet-50abcd816243240Min: 37.16 / Avg: 37.3 / Max: 37.53Min: 37.48 / Avg: 37.59 / Max: 37.79

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
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 32 - Model: GoogLeNetabcd20406080100Min: 111.68 / Avg: 112.65 / Max: 113.7Min: 114.88 / Avg: 115.12 / Max: 115.53

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
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 32 - Model: ResNet-50abcd816243240Min: 36.14 / Avg: 36.2 / Max: 36.23Min: 36.01 / Avg: 36.18 / Max: 36.42

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
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: GoogLeNetabcd20406080100Min: 111.01 / Avg: 111.3 / Max: 111.58Min: 109.95 / Avg: 110.25 / Max: 110.8

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
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: ResNet-50abcd816243240Min: 35.79 / Avg: 35.86 / Max: 35.92Min: 35.59 / Avg: 35.74 / Max: 35.82

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
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 256 - Model: GoogLeNetabcd20406080100Min: 108.23 / Avg: 109 / Max: 109.45Min: 108.36 / Avg: 108.88 / Max: 109.19

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
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 256 - Model: ResNet-50abcd816243240Min: 35.11 / Avg: 35.22 / Max: 35.35Min: 35.04 / Avg: 35.11 / Max: 35.19

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 512 - Model: GoogLeNetbcd20406080100SE +/- 0.30, N = 3109.93110.15109.92
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 512 - Model: GoogLeNetbcd20406080100Min: 109.46 / Avg: 109.93 / Max: 110.5

a

Kernel Notes: Transparent Huge Pages: madvise
Processor Notes: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x112 - Thermald 2.5.2
Python Notes: Python 3.11.1
Security Notes: 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

Testing initiated at 28 March 2023 16:41 by user phoronix.

b

Kernel Notes: Transparent Huge Pages: madvise
Processor Notes: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x112 - Thermald 2.5.2
Python Notes: Python 3.11.1
Security Notes: 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

Testing initiated at 28 March 2023 21:31 by user phoronix.

c

Kernel Notes: Transparent Huge Pages: madvise
Processor Notes: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x112 - Thermald 2.5.2
Python Notes: Python 3.11.1
Security Notes: 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

Testing initiated at 29 March 2023 05:33 by user phoronix.

d

Processor: Intel Core i9-13900K @ 4.00GHz (24 Cores / 32 Threads), Motherboard: ASUS PRIME Z790-P WIFI (0809 BIOS), Chipset: Intel Device 7a27, Memory: 32GB, Disk: 1000GB Western Digital WDS100T1X0E-00AFY0, Graphics: AMD Radeon RX 6800 16GB (2475/1000MHz), Audio: Realtek ALC897, Monitor: ASUS VP28U, Network: Intel Device 7a70

OS: Ubuntu 23.04, Kernel: 5.19.0-21-generic (x86_64), Desktop: GNOME Shell 43.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.3.6 (LLVM 15.0.7 DRM 3.47), Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 3840x2160

Kernel Notes: Transparent Huge Pages: madvise
Processor Notes: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x112 - Thermald 2.5.2
Python Notes: Python 3.11.1
Security Notes: 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

Testing initiated at 29 March 2023 08:11 by user phoronix.