MinervaTensorFlow

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.

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MinervaTFRunAbril
April 29 2023
  9 Hours, 36 Minutes
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MinervaTFRunAbril

Processor: 2 x Intel Xeon Silver 4314 @ 3.40GHz (32 Cores / 64 Threads), 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: 5.15.0-70-generic (x86_64), Compiler: GCC 11.3.0, File-System: ext4, Screen Resolution: 1024x768

Kernel Notes: Transparent Huge Pages: madvise
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 vulnerable + 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

MinervaTensorFlowOpenBenchmarking.orgPhoronix Test Suite2 x Intel Xeon Silver 4314 @ 3.40GHz (32 Cores / 64 Threads)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 22.045.15.0-70-generic (x86_64)GCC 11.3.0ext41024x768ProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelCompilerFile-SystemScreen ResolutionMinervaTensorFlow BenchmarksSystem Logs- Transparent Huge Pages: madvise- 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 vulnerable + 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

MinervaTensorFlowtensorflow: 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-50MinervaTFRunAbril9.9411.4912.7297.0315.87118.4518.08147.59230.57259.3549.9714.5762.1517.3878.0520.5099.2425.44101.6925.82OpenBenchmarking.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-16MinervaTFRunAbril3691215SE +/- 0.02, N = 39.94

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 32 - Model: VGG-16MinervaTFRunAbril3691215SE +/- 0.08, N = 311.49

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: VGG-16MinervaTFRunAbril3691215SE +/- 0.04, N = 312.72

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: AlexNetMinervaTFRunAbril20406080100SE +/- 0.72, N = 397.03

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 256 - Model: VGG-16MinervaTFRunAbril48121620SE +/- 0.04, N = 315.87

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 32 - Model: AlexNetMinervaTFRunAbril306090120150SE +/- 0.28, N = 3118.45

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 512 - Model: VGG-16MinervaTFRunAbril48121620SE +/- 0.04, N = 318.08

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: AlexNetMinervaTFRunAbril306090120150SE +/- 0.75, N = 3147.59

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 256 - Model: AlexNetMinervaTFRunAbril50100150200250SE +/- 0.09, N = 3230.57

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 512 - Model: AlexNetMinervaTFRunAbril60120180240300SE +/- 0.82, N = 3259.35

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: GoogLeNetMinervaTFRunAbril1122334455SE +/- 0.14, N = 349.97

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: ResNet-50MinervaTFRunAbril48121620SE +/- 0.06, N = 314.57

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 32 - Model: GoogLeNetMinervaTFRunAbril1428425670SE +/- 0.12, N = 362.15

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 32 - Model: ResNet-50MinervaTFRunAbril48121620SE +/- 0.06, N = 317.38

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: GoogLeNetMinervaTFRunAbril20406080100SE +/- 0.09, N = 378.05

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: ResNet-50MinervaTFRunAbril510152025SE +/- 0.05, N = 320.50

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 256 - Model: GoogLeNetMinervaTFRunAbril20406080100SE +/- 0.64, N = 399.24

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 256 - Model: ResNet-50MinervaTFRunAbril612182430SE +/- 0.11, N = 325.44

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 512 - Model: GoogLeNetMinervaTFRunAbril20406080100SE +/- 1.31, N = 3101.69

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 512 - Model: ResNet-50MinervaTFRunAbril612182430SE +/- 0.31, N = 325.82

MinervaTFRunAbril

Processor: 2 x Intel Xeon Silver 4314 @ 3.40GHz (32 Cores / 64 Threads), 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: 5.15.0-70-generic (x86_64), Compiler: GCC 11.3.0, File-System: ext4, Screen Resolution: 1024x768

Kernel Notes: Transparent Huge Pages: madvise
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 vulnerable + 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 29 April 2023 13:14 by user minerva.