tensorflow-VGG-16-batch-16

AMD Ryzen 9 7950X 16-Core testing with a ASRock X670E Pro RS (1.03 BIOS) and eVGA NVIDIA GeForce GTX 1060 6GB on Ubuntu 22.04 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 2301190-NE-TENSORFLO52
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Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
AMD Ryzen 9 7950X 16-Core - eVGA NVIDIA GeForce GTX
January 19 2023
  6 Minutes


tensorflow-VGG-16-batch-16OpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen 9 7950X 16-Core @ 5.88GHz (16 Cores / 32 Threads)ASRock X670E Pro RS (1.03 BIOS)AMD Device 14d8128GB2 x 2048GB KINGSTON SKC3000D2048G + 1920GB SDLF1CRR-019T-1HeVGA NVIDIA GeForce GTX 1060 6GBNVIDIA GP106 HD AudioLEN T27i-10Realtek RTL8125 2.5GbE + MEDIATEK MT7922 802.11ax PCIUbuntu 22.045.15.0-58-generic (x86_64)GNOME Shell 42.5X Server 1.21.1.3NVIDIA 525.78.014.6.01.3.224GCC 11.3.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen ResolutionTensorflow-VGG-16-batch-16 BenchmarksSystem Logs- Transparent Huge Pages: madvise- Scaling Governor: amd-pstate schedutil (Boost: Enabled) - CPU Microcode: 0xa601201 - Python 3.10.6- 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 and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

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 too. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 16 - Model: VGG-16AMD Ryzen 9 7950X 16-Core - eVGA NVIDIA GeForce GTX48121620SE +/- 0.07, N = 315.26