minervatensorflowNOHT

2 x Intel Xeon Silver 4314 testing with a Intel M20NTP2SB (SE5C620.86B.0021.D02.2204261106 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 2305031-NE-MINERVATE46
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Result
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Performance Per
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Date
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  Test
  Duration
minerva sin HT
May 02 2023
  15 Hours, 1 Minute
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minerva sin HT

Processor: 2 x Intel Xeon Silver 4314 @ 3.40GHz (32 Cores), Motherboard: Intel M20NTP2SB (SE5C620.86B.0021.D02.2204261106 BIOS), Chipset: Intel Device 0998, Memory: 128GB, Disk: 2 x 1920GB KINGSTON SEDC1500M1920G + 2 x 6001GB Western Digital WD6003FFBX-6, Graphics: ASPEED, Monitor: Smart Cable, Network: 2 x Intel I210

OS: Ubuntu 22.04, Kernel: 5.15.0-71-generic (x86_64), Vulkan: 1.3.224, Compiler: GCC 11.3.0, File-System: ext4, Screen Resolution: 1024x768

Kernel Notes: Transparent Huge Pages: madvise
Environment Notes: DEBUG=0
Processor Notes: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0xd000389
Python Notes: Python 3.10.6
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Mitigation of Clear buffers; SMT disabled + 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

minervatensorflowNOHTOpenBenchmarking.orgPhoronix Test Suite2 x Intel Xeon Silver 4314 @ 3.40GHz (32 Cores)Intel M20NTP2SB (SE5C620.86B.0021.D02.2204261106 BIOS)Intel Device 0998128GB2 x 1920GB KINGSTON SEDC1500M1920G + 2 x 6001GB Western Digital WD6003FFBX-6ASPEEDSmart Cable2 x Intel I210Ubuntu 22.045.15.0-71-generic (x86_64)1.3.224GCC 11.3.0ext41024x768ProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelVulkanCompilerFile-SystemScreen ResolutionMinervatensorflowNOHT BenchmarksSystem Logs- Transparent Huge Pages: madvise- DEBUG=0- Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0xd000389- Python 3.10.6- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Mitigation of Clear buffers; SMT disabled + 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

minervatensorflowNOHTtensorflow: CPU - 16 - VGG-16tensorflow: CPU - 32 - VGG-16tensorflow: CPU - 64 - VGG-16tensorflow: CPU - 16 - AlexNettensorflow: CPU - 256 - VGG-16tensorflow: CPU - 32 - AlexNettensorflow: CPU - 512 - VGG-16tensorflow: CPU - 64 - AlexNettensorflow: CPU - 256 - AlexNettensorflow: CPU - 512 - AlexNettensorflow: CPU - 16 - GoogLeNettensorflow: CPU - 16 - ResNet-50tensorflow: CPU - 32 - GoogLeNettensorflow: CPU - 32 - ResNet-50tensorflow: CPU - 64 - GoogLeNettensorflow: CPU - 64 - ResNet-50tensorflow: CPU - 256 - GoogLeNettensorflow: CPU - 256 - ResNet-50tensorflow: CPU - 512 - GoogLeNettensorflow: CPU - 512 - ResNet-50minerva sin HT14.7016.9718.95143.9320.69206.6520.85250.10357.11407.5995.3726.0798.9628.40105.6730.71118.0233.04116.4233.91OpenBenchmarking.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: 16 - Model: VGG-16minerva sin HT48121620SE +/- 0.04, N = 314.70

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 32 - Model: VGG-16minerva sin HT48121620SE +/- 0.21, N = 316.97

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: VGG-16minerva sin HT510152025SE +/- 0.14, N = 318.95

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: AlexNetminerva sin HT306090120150SE +/- 1.22, N = 3143.93

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 256 - Model: VGG-16minerva sin HT510152025SE +/- 0.26, N = 920.69

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 32 - Model: AlexNetminerva sin HT50100150200250SE +/- 0.98, N = 3206.65

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 512 - Model: VGG-16minerva sin HT510152025SE +/- 0.22, N = 920.85

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: AlexNetminerva sin HT50100150200250SE +/- 1.26, N = 3250.10

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 256 - Model: AlexNetminerva sin HT80160240320400SE +/- 0.23, N = 3357.11

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 512 - Model: AlexNetminerva sin HT90180270360450SE +/- 0.85, N = 3407.59

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: GoogLeNetminerva sin HT20406080100SE +/- 0.39, N = 395.37

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: ResNet-50minerva sin HT612182430SE +/- 0.10, N = 326.07

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 32 - Model: GoogLeNetminerva sin HT20406080100SE +/- 0.30, N = 398.96

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 32 - Model: ResNet-50minerva sin HT714212835SE +/- 0.10, N = 328.40

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: GoogLeNetminerva sin HT20406080100SE +/- 0.14, N = 3105.67

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: ResNet-50minerva sin HT714212835SE +/- 0.06, N = 330.71

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 256 - Model: GoogLeNetminerva sin HT306090120150SE +/- 0.32, N = 3118.02

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 256 - Model: ResNet-50minerva sin HT816243240SE +/- 0.33, N = 633.04

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 512 - Model: GoogLeNetminerva sin HT306090120150SE +/- 0.93, N = 3116.42

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 512 - Model: ResNet-50minerva sin HT816243240SE +/- 0.33, N = 333.91

minerva sin HT

Processor: 2 x Intel Xeon Silver 4314 @ 3.40GHz (32 Cores), Motherboard: Intel M20NTP2SB (SE5C620.86B.0021.D02.2204261106 BIOS), Chipset: Intel Device 0998, Memory: 128GB, Disk: 2 x 1920GB KINGSTON SEDC1500M1920G + 2 x 6001GB Western Digital WD6003FFBX-6, Graphics: ASPEED, Monitor: Smart Cable, Network: 2 x Intel I210

OS: Ubuntu 22.04, Kernel: 5.15.0-71-generic (x86_64), Vulkan: 1.3.224, Compiler: GCC 11.3.0, File-System: ext4, Screen Resolution: 1024x768

Kernel Notes: Transparent Huge Pages: madvise
Environment Notes: DEBUG=0
Processor Notes: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0xd000389
Python Notes: Python 3.10.6
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Mitigation of Clear buffers; SMT disabled + 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

Testing initiated at 2 May 2023 10:49 by user minerva.