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 tensorflow-212-intel-raptorlake - Phoronix Test Suite 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&grw&sro .
tensorflow-212-intel-raptorlake Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server OpenGL Compiler File-System Screen Resolution a b c d Intel Core i9-13900K @ 4.00GHz (24 Cores / 32 Threads) ASUS PRIME Z790-P WIFI (0809 BIOS) Intel Device 7a27 32GB 1000GB Western Digital WDS100T1X0E-00AFY0 AMD Radeon RX 6800 16GB (2475/1000MHz) Realtek ALC897 ASUS VP28U Intel Device 7a70 Ubuntu 23.04 5.19.0-21-generic (x86_64) GNOME Shell 43.2 X Server + Wayland 4.6 Mesa 22.3.6 (LLVM 15.0.7 DRM 3.47) GCC 12.2.0 ext4 3840x2160 OpenBenchmarking.org Kernel Details - Transparent Huge Pages: madvise Processor Details - Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x112 - Thermald 2.5.2 Python Details - Python 3.11.1 Security 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-16 tensorflow: CPU - 32 - VGG-16 tensorflow: CPU - 64 - VGG-16 tensorflow: CPU - 16 - AlexNet tensorflow: CPU - 256 - VGG-16 tensorflow: CPU - 32 - AlexNet tensorflow: CPU - 64 - AlexNet tensorflow: CPU - 256 - AlexNet tensorflow: CPU - 512 - AlexNet tensorflow: CPU - 16 - GoogLeNet tensorflow: CPU - 16 - ResNet-50 tensorflow: CPU - 32 - GoogLeNet tensorflow: CPU - 32 - ResNet-50 tensorflow: CPU - 64 - GoogLeNet tensorflow: CPU - 64 - ResNet-50 tensorflow: CPU - 256 - GoogLeNet tensorflow: CPU - 256 - ResNet-50 tensorflow: CPU - 512 - GoogLeNet a b c d 11.23 11.20 11.32 164.48 12.31 210.48 237.38 252.14 255.70 120.19 37.30 112.65 36.20 111.30 35.86 109.00 35.22 10.89 11.05 11.26 164.04 12.27 210.18 237.13 251.57 256.07 120.34 37.59 115.12 36.18 110.25 35.74 108.88 35.11 109.93 11.23 11.18 11.27 164.32 12.27 209.75 237.49 252.07 256.03 121.27 37.61 113.4 36.27 110.29 35.83 109.08 35.07 110.15 11.24 11.16 11.32 164.36 12.29 210.21 236.83 251.15 257.1 118.61 37.47 115.84 36.31 111.73 35.79 109.28 35.04 109.92 OpenBenchmarking.org
TensorFlow Device: CPU - Batch Size: 16 - Model: VGG-16 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: VGG-16 a b c d 3 6 9 12 15 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 11.23 10.89 11.23 11.24
TensorFlow Device: CPU - Batch Size: 32 - Model: VGG-16 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 32 - Model: VGG-16 a b c d 3 6 9 12 15 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 11.20 11.05 11.18 11.16
TensorFlow Device: CPU - Batch Size: 64 - Model: VGG-16 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 64 - Model: VGG-16 a b c d 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 11.32 11.26 11.27 11.32
TensorFlow Device: CPU - Batch Size: 16 - Model: AlexNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: AlexNet a b c d 40 80 120 160 200 SE +/- 0.18, N = 3 SE +/- 0.25, N = 3 164.48 164.04 164.32 164.36
TensorFlow Device: CPU - Batch Size: 256 - Model: VGG-16 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 256 - Model: VGG-16 a b c d 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 12.31 12.27 12.27 12.29
TensorFlow Device: CPU - Batch Size: 32 - Model: AlexNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 32 - Model: AlexNet a b c d 50 100 150 200 250 SE +/- 0.16, N = 3 SE +/- 0.14, N = 3 210.48 210.18 209.75 210.21
TensorFlow Device: CPU - Batch Size: 64 - Model: AlexNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 64 - Model: AlexNet a b c d 50 100 150 200 250 SE +/- 0.05, N = 3 SE +/- 0.20, N = 3 237.38 237.13 237.49 236.83
TensorFlow Device: CPU - Batch Size: 256 - Model: AlexNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 256 - Model: AlexNet a b c d 60 120 180 240 300 SE +/- 0.49, N = 3 SE +/- 0.31, N = 3 252.14 251.57 252.07 251.15
TensorFlow Device: CPU - Batch Size: 512 - Model: AlexNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 512 - Model: AlexNet a b c d 60 120 180 240 300 SE +/- 0.09, N = 3 SE +/- 0.16, N = 3 255.70 256.07 256.03 257.10
TensorFlow Device: CPU - Batch Size: 16 - Model: GoogLeNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: GoogLeNet a b c d 30 60 90 120 150 SE +/- 0.77, N = 3 SE +/- 0.81, N = 3 120.19 120.34 121.27 118.61
TensorFlow Device: CPU - Batch Size: 16 - Model: ResNet-50 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: ResNet-50 a b c d 9 18 27 36 45 SE +/- 0.12, N = 3 SE +/- 0.10, N = 3 37.30 37.59 37.61 37.47
TensorFlow Device: CPU - Batch Size: 32 - Model: GoogLeNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 32 - Model: GoogLeNet a b c d 30 60 90 120 150 SE +/- 0.58, N = 3 SE +/- 0.21, N = 3 112.65 115.12 113.40 115.84
TensorFlow Device: CPU - Batch Size: 32 - Model: ResNet-50 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 32 - Model: ResNet-50 a b c d 8 16 24 32 40 SE +/- 0.03, N = 3 SE +/- 0.12, N = 3 36.20 36.18 36.27 36.31
TensorFlow Device: CPU - Batch Size: 64 - Model: GoogLeNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 64 - Model: GoogLeNet a b c d 30 60 90 120 150 SE +/- 0.16, N = 3 SE +/- 0.28, N = 3 111.30 110.25 110.29 111.73
TensorFlow Device: CPU - Batch Size: 64 - Model: ResNet-50 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 64 - Model: ResNet-50 a b c d 8 16 24 32 40 SE +/- 0.04, N = 3 SE +/- 0.08, N = 3 35.86 35.74 35.83 35.79
TensorFlow Device: CPU - Batch Size: 256 - Model: GoogLeNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 256 - Model: GoogLeNet a b c d 20 40 60 80 100 SE +/- 0.39, N = 3 SE +/- 0.26, N = 3 109.00 108.88 109.08 109.28
TensorFlow Device: CPU - Batch Size: 256 - Model: ResNet-50 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 256 - Model: ResNet-50 a b c d 8 16 24 32 40 SE +/- 0.07, N = 3 SE +/- 0.04, N = 3 35.22 35.11 35.07 35.04
TensorFlow Device: CPU - Batch Size: 512 - Model: GoogLeNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 512 - Model: GoogLeNet b c d 20 40 60 80 100 SE +/- 0.30, N = 3 109.93 110.15 109.92
Phoronix Test Suite v10.8.4