xeon-8480-tensorflow

2 x Intel Xeon Platinum 8480+ testing with a Quanta Cloud S6Q-MB-MPS (3A10.uh BIOS) and ASPEED 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 2307135-NE-XEON8480T55
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Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
sf100-c250
July 13 2023
  13 Minutes
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xeon-8480-tensorflowOpenBenchmarking.orgPhoronix Test Suite2 x Intel Xeon Platinum 8480+ @ 3.80GHz (112 Cores / 224 Threads)Quanta Cloud S6Q-MB-MPS (3A10.uh BIOS)Intel Device 1bce1008GB8 x 1920GB Dell Ent NVMe AGN RI U.2 1.92TB + 1920GB INTEL SSDSC2KG01 + 800GB INTEL SSDSC2BA80 + 800GB INTEL SSDSC2BB80ASPEED4 x Intel E810-C for QSFP + 2 x Intel X710 for 10GBASE-TUbuntu 22.045.15.0-76-generic (x86_64)X Server1.3.224GCC 11.3.0ext41024x768ProcessorMotherboardChipsetMemoryDiskGraphicsNetworkOSKernelDisplay ServerVulkanCompilerFile-SystemScreen ResolutionXeon-8480-tensorflow BenchmarksSystem Logs- Transparent Huge Pages: madvise- Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x2b000181- 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 Enhanced IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected

xeon-8480-tensorflowtensorflow: CPU - 64 - VGG-16tensorflow: CPU - 64 - ResNet-50tensorflow: CPU - 64 - GoogLeNettensorflow: CPU - 64 - AlexNetsf100-c25056.42101.88346.13737.83OpenBenchmarking.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: 64 - Model: VGG-16sf100-c2501326395265SE +/- 0.16, N = 356.42

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: ResNet-50sf100-c25020406080100SE +/- 0.98, N = 3101.88

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: GoogLeNetsf100-c25080160240320400SE +/- 2.92, N = 3346.13

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: AlexNetsf100-c250160320480640800SE +/- 8.22, N = 4737.83