tflit3970X tflote

AMD Ryzen Threadripper 3970X 32-Core testing with a ASUS ROG ZENITH II EXTREME (0702 BIOS) and NVIDIA TITAN RTX 24GB on Ubuntu 20.04 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 2008236-PTS-TFLIT39748
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Run 1
August 23 2020
  22 Minutes
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August 23 2020
  24 Minutes
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August 23 2020
  23 Minutes
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tflit3970X tfloteOpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen Threadripper 3970X 32-Core @ 3.70GHz (32 Cores / 64 Threads)ASUS ROG ZENITH II EXTREME (0702 BIOS)AMD Starship/Matisse64GB1000GB Corsair Force MP600NVIDIA TITAN RTX 24GB (1920/6500MHz)NVIDIA TITAN RTX 24GB (495/405MHz)NVIDIA TITAN RTX 24GB (555/810MHz)NVIDIA TU102 HD AudioASUS MG28UAquantia AQC107 NBase-T/IEEE + Intel I211 + Intel Wi-Fi 6 AX200Ubuntu 20.045.4.0-42-generic (x86_64)GNOME Shell 3.36.4X Server 1.20.8NVIDIA 450.36.064.6.0OpenCL 1.2 CUDA 11.0.185GCC 9.3.0 + CUDA 11.0ext43840x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLCompilerFile-SystemScreen ResolutionTflit3970X Tflote BenchmarksSystem Logs- Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8301025- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: 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 Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Run 1Run 2Run 3Result OverviewPhoronix Test Suite100%100%101%101%101%TensorFlow LiteTensorFlow LiteTensorFlow LiteTensorFlow LiteTensorFlow LiteTensorFlow LiteSqueezeNetNASNet MobileInception V4Mobilenet FloatMobilenet QuantI.R.V

tflit3970X tflotetensorflow-lite: SqueezeNettensorflow-lite: Inception V4tensorflow-lite: NASNet Mobiletensorflow-lite: Mobilenet Floattensorflow-lite: Mobilenet Quanttensorflow-lite: Inception ResNet V2Run 1Run 2Run 366685.488604996109.542836.143487.578202666080.287673497256.443240.443886.878642465815.187829197208.543241.443704.9787311OpenBenchmarking.org

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetRun 1Run 2Run 314K28K42K56K70KSE +/- 647.95, N = 3SE +/- 160.47, N = 3SE +/- 311.37, N = 366685.466080.265815.1
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetRun 1Run 2Run 312K24K36K48K60KMin: 65937.2 / Avg: 66685.37 / Max: 67975.8Min: 65762.1 / Avg: 66080.23 / Max: 66276Min: 65193.7 / Avg: 65815.13 / Max: 66160.8

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Run 1Run 2Run 3200K400K600K800K1000KSE +/- 12451.28, N = 3SE +/- 428.12, N = 3SE +/- 739.04, N = 3886049876734878291
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Run 1Run 2Run 3150K300K450K600K750KMin: 873118 / Avg: 886048.67 / Max: 910945Min: 876009 / Avg: 876734 / Max: 877491Min: 876822 / Avg: 878291.33 / Max: 879165

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileRun 1Run 2Run 320K40K60K80K100KSE +/- 1129.61, N = 6SE +/- 987.16, N = 8SE +/- 1090.58, N = 796109.597256.497208.5
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileRun 1Run 2Run 320K40K60K80K100KMin: 90541.6 / Avg: 96109.45 / Max: 97925.1Min: 90461.7 / Avg: 97256.4 / Max: 99053Min: 90809.3 / Avg: 97208.5 / Max: 99007.8

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatRun 1Run 2Run 39K18K27K36K45KSE +/- 270.60, N = 3SE +/- 194.72, N = 3SE +/- 168.71, N = 342836.143240.443241.4
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatRun 1Run 2Run 37K14K21K28K35KMin: 42564.7 / Avg: 42836.1 / Max: 43377.3Min: 42978.4 / Avg: 43240.37 / Max: 43620.9Min: 43001.2 / Avg: 43241.37 / Max: 43566.7

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantRun 1Run 2Run 39K18K27K36K45KSE +/- 52.49, N = 3SE +/- 27.18, N = 3SE +/- 47.28, N = 343487.543886.843704.9
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantRun 1Run 2Run 38K16K24K32K40KMin: 43398.8 / Avg: 43487.53 / Max: 43580.5Min: 43852.5 / Avg: 43886.83 / Max: 43940.5Min: 43642.3 / Avg: 43704.93 / Max: 43797.6

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Run 1Run 2Run 3200K400K600K800K1000KSE +/- 813.54, N = 3SE +/- 1182.87, N = 3SE +/- 1412.73, N = 3782026786424787311
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Run 1Run 2Run 3140K280K420K560K700KMin: 780399 / Avg: 782025.67 / Max: 782871Min: 784194 / Avg: 786424 / Max: 788223Min: 785296 / Avg: 787311.33 / Max: 790034