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&grr&rdt.

tensorflow spacyProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen ResolutionABCIntel Core i9-12900K @ 5.20GHz (16 Cores / 24 Threads)ASUS ROG STRIX Z690-E GAMING WIFI (1720 BIOS)Intel Device 7aa732GB1000GB Western Digital WDS100T1X0E-00AFY0 + 2000GBIntel Arc A770 DG2 16GB (2400MHz)Intel Device 7ad0ASUS VP28UIntel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411Ubuntu 22.046.0.0-060000-generic (x86_64)GNOME Shell 42.4X Server 1.21.1.3 + Wayland4.6 Mesa 22.3.0-devel (git-8945375 2022-10-04 jammy-oibaf-ppa)1.3.230GCC 11.2.0ext43840x2160OpenBenchmarking.orgKernel Details- i915.force_probe=56a0 - Transparent Huge Pages: madviseProcessor 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 3.10.6Security 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 spacytensorflow: CPU - 256 - ResNet-50tensorflow: CPU - 512 - GoogLeNettensorflow: CPU - 256 - GoogLeNettensorflow: CPU - 512 - AlexNettensorflow: CPU - 64 - ResNet-50tensorflow: CPU - 256 - AlexNettensorflow: CPU - 32 - ResNet-50tensorflow: CPU - 64 - GoogLeNettensorflow: CPU - 16 - ResNet-50spacy: en_core_web_trfspacy: en_core_web_lgtensorflow: CPU - 32 - GoogLeNettensorflow: CPU - 64 - AlexNettensorflow: CPU - 32 - AlexNettensorflow: CPU - 16 - GoogLeNettensorflow: CPU - 16 - AlexNetABC29.1795.6992.45217.1728.13196.0627.4788.0427.7016831875287.08173.88160.3686.44133.1029.2195.5688.86216.0128.14198.1827.8786.7626.1517081878486.2175.78159.8686.26130.4929.292.64216.2328.23197.8927.5488.2627.8316891878087.43176.56161.4286.67131.8OpenBenchmarking.org

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 256 - Model: ResNet-50ABC714212835SE +/- 0.03, N = 329.1729.2129.20

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 512 - Model: GoogLeNetAB20406080100SE +/- 0.05, N = 395.6995.56

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 256 - Model: GoogLeNetABC20406080100SE +/- 0.09, N = 392.4588.8692.64

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 512 - Model: AlexNetABC50100150200250SE +/- 0.37, N = 3217.17216.01216.23

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 64 - Model: ResNet-50ABC714212835SE +/- 0.03, N = 328.1328.1428.23

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 256 - Model: AlexNetABC4080120160200SE +/- 1.94, N = 3196.06198.18197.89

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 32 - Model: ResNet-50ABC714212835SE +/- 0.01, N = 327.4727.8727.54

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 64 - Model: GoogLeNetABC20406080100SE +/- 0.08, N = 388.0486.7688.26

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 16 - Model: ResNet-50ABC714212835SE +/- 0.01, N = 327.7026.1527.83

spaCy

Model: en_core_web_trf

OpenBenchmarking.orgtokens/sec, More Is BetterspaCy 3.4.1Model: en_core_web_trfABC400800120016002000SE +/- 8.00, N = 3168317081689

spaCy

Model: en_core_web_lg

OpenBenchmarking.orgtokens/sec, More Is BetterspaCy 3.4.1Model: en_core_web_lgABC4K8K12K16K20KSE +/- 2.03, N = 3187521878418780

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 32 - Model: GoogLeNetABC20406080100SE +/- 0.05, N = 387.0886.2087.43

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 64 - Model: AlexNetABC4080120160200SE +/- 0.06, N = 3173.88175.78176.56

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 32 - Model: AlexNetABC4080120160200SE +/- 1.07, N = 3160.36159.86161.42

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 16 - Model: GoogLeNetABC20406080100SE +/- 0.01, N = 386.4486.2686.67

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 16 - Model: AlexNetABC306090120150SE +/- 0.11, N = 3133.10130.49131.80


Phoronix Test Suite v10.8.5