tensorflow spacy Intel Core i9-12900K testing with a ASUS ROG STRIX Z690-E GAMING WIFI (1720 BIOS) and Intel Arc A770 DG2 16GB on Ubuntu 22.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2210088-PTS-TENSORFL08&grt&sor .
tensorflow spacy Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server OpenGL Vulkan Compiler File-System Screen Resolution A B C Intel Core i9-12900K @ 5.20GHz (16 Cores / 24 Threads) ASUS ROG STRIX Z690-E GAMING WIFI (1720 BIOS) Intel Device 7aa7 32GB 1000GB Western Digital WDS100T1X0E-00AFY0 + 2000GB Intel Arc A770 DG2 16GB (2400MHz) Intel Device 7ad0 ASUS VP28U Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411 Ubuntu 22.04 6.0.0-060000-generic (x86_64) GNOME Shell 42.4 X Server 1.21.1.3 + Wayland 4.6 Mesa 22.3.0-devel (git-8945375 2022-10-04 jammy-oibaf-ppa) 1.3.230 GCC 11.2.0 ext4 3840x2160 OpenBenchmarking.org Kernel Details - i915.force_probe=56a0 - Transparent Huge Pages: madvise Processor Details - A: Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x23 - Thermald 2.4.9 - B: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x23 - Thermald 2.4.9 - C: Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x23 - Thermald 2.4.9 Python Details - Python 3.10.6 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 spacy spacy: en_core_web_lg spacy: en_core_web_trf tensorflow: CPU - 16 - AlexNet 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 18752 1683 133.10 160.36 173.88 196.06 217.17 86.44 27.70 87.08 27.47 88.04 28.13 92.45 29.17 95.69 18784 1708 130.49 159.86 175.78 198.18 216.01 86.26 26.15 86.2 27.87 86.76 28.14 88.86 29.21 95.56 18780 1689 131.8 161.42 176.56 197.89 216.23 86.67 27.83 87.43 27.54 88.26 28.23 92.64 29.2 OpenBenchmarking.org
spaCy Model: en_core_web_lg OpenBenchmarking.org tokens/sec, More Is Better spaCy 3.4.1 Model: en_core_web_lg B C A 4K 8K 12K 16K 20K SE +/- 2.03, N = 3 18784 18780 18752
spaCy Model: en_core_web_trf OpenBenchmarking.org tokens/sec, More Is Better spaCy 3.4.1 Model: en_core_web_trf B C A 400 800 1200 1600 2000 SE +/- 8.00, N = 3 1708 1689 1683
TensorFlow Device: CPU - Batch Size: 16 - Model: AlexNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.10 Device: CPU - Batch Size: 16 - Model: AlexNet A C B 30 60 90 120 150 SE +/- 0.11, N = 3 133.10 131.80 130.49
TensorFlow Device: CPU - Batch Size: 32 - Model: AlexNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.10 Device: CPU - Batch Size: 32 - Model: AlexNet C A B 40 80 120 160 200 SE +/- 1.07, N = 3 161.42 160.36 159.86
TensorFlow Device: CPU - Batch Size: 64 - Model: AlexNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.10 Device: CPU - Batch Size: 64 - Model: AlexNet C B A 40 80 120 160 200 SE +/- 0.06, N = 3 176.56 175.78 173.88
TensorFlow Device: CPU - Batch Size: 256 - Model: AlexNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.10 Device: CPU - Batch Size: 256 - Model: AlexNet B C A 40 80 120 160 200 SE +/- 1.94, N = 3 198.18 197.89 196.06
TensorFlow Device: CPU - Batch Size: 512 - Model: AlexNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.10 Device: CPU - Batch Size: 512 - Model: AlexNet A C B 50 100 150 200 250 SE +/- 0.37, N = 3 217.17 216.23 216.01
TensorFlow Device: CPU - Batch Size: 16 - Model: GoogLeNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.10 Device: CPU - Batch Size: 16 - Model: GoogLeNet C A B 20 40 60 80 100 SE +/- 0.01, N = 3 86.67 86.44 86.26
TensorFlow Device: CPU - Batch Size: 16 - Model: ResNet-50 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.10 Device: CPU - Batch Size: 16 - Model: ResNet-50 C A B 7 14 21 28 35 SE +/- 0.01, N = 3 27.83 27.70 26.15
TensorFlow Device: CPU - Batch Size: 32 - Model: GoogLeNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.10 Device: CPU - Batch Size: 32 - Model: GoogLeNet C A B 20 40 60 80 100 SE +/- 0.05, N = 3 87.43 87.08 86.20
TensorFlow Device: CPU - Batch Size: 32 - Model: ResNet-50 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.10 Device: CPU - Batch Size: 32 - Model: ResNet-50 B C A 7 14 21 28 35 SE +/- 0.01, N = 3 27.87 27.54 27.47
TensorFlow Device: CPU - Batch Size: 64 - Model: GoogLeNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.10 Device: CPU - Batch Size: 64 - Model: GoogLeNet C A B 20 40 60 80 100 SE +/- 0.08, N = 3 88.26 88.04 86.76
TensorFlow Device: CPU - Batch Size: 64 - Model: ResNet-50 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.10 Device: CPU - Batch Size: 64 - Model: ResNet-50 C B A 7 14 21 28 35 SE +/- 0.03, N = 3 28.23 28.14 28.13
TensorFlow Device: CPU - Batch Size: 256 - Model: GoogLeNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.10 Device: CPU - Batch Size: 256 - Model: GoogLeNet C A B 20 40 60 80 100 SE +/- 0.09, N = 3 92.64 92.45 88.86
TensorFlow Device: CPU - Batch Size: 256 - Model: ResNet-50 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.10 Device: CPU - Batch Size: 256 - Model: ResNet-50 B C A 7 14 21 28 35 SE +/- 0.03, N = 3 29.21 29.20 29.17
TensorFlow Device: CPU - Batch Size: 512 - Model: GoogLeNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.10 Device: CPU - Batch Size: 512 - Model: GoogLeNet A B 20 40 60 80 100 SE +/- 0.05, N = 3 95.69 95.56
Phoronix Test Suite v10.8.4