3900X NAMD + TensorFlow Lite

AMD Ryzen 9 3900X 12-Core testing with a ASUS TUF GAMING X570-PLUS (WI-FI) (2203 BIOS) and MSI AMD Radeon RX 470/480/570/570X/580/580X/590 8GB 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 2009025-PTS-3900XNAM94
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September 02 2020
  27 Minutes
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September 02 2020
  26 Minutes
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September 02 2020
  26 Minutes
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3900X NAMD + TensorFlow LiteOpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen 9 3900X 12-Core @ 3.80GHz (12 Cores / 24 Threads)ASUS TUF GAMING X570-PLUS (WI-FI) (2203 BIOS)AMD Starship/Matisse16GBSamsung SSD 970 EVO Plus 250GBMSI AMD Radeon RX 470/480/570/570X/580/580X/590 8GB (1366/2000MHz)AMD Ellesmere HDMI AudioG237HLRealtek RTL8111/8168/8411 + Intel-AC 9260Ubuntu 20.045.8.0-050800daily20200626-generic (x86_64)GNOME Shell 3.36.3X Server 1.20.8modesetting 1.20.84.6 Mesa 20.2.0-devel (git-64cdc13 2020-07-02 focal-oibaf-ppa) (LLVM 10.0.0)1.2.131GCC 9.3.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen Resolution3900X NAMD + TensorFlow Lite BenchmarksSystem Logs- Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701021- 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%100%101%101%TensorFlow LiteTensorFlow LiteTensorFlow LiteTensorFlow LiteNAMDTensorFlow LiteTensorFlow LiteNASNet MobileSqueezeNetI.R.VInception V4ATPase Simulation - 327,506 AtomsMobilenet FloatMobilenet Quant

3900X NAMD + TensorFlow Litenamd: ATPase Simulation - 327,506 Atomstensorflow-lite: SqueezeNettensorflow-lite: Inception V4tensorflow-lite: NASNet Mobiletensorflow-lite: Mobilenet Floattensorflow-lite: Mobilenet Quanttensorflow-lite: Inception ResNet V2Run 1Run 2Run 31.55718139071201363314149394746.897075.918098671.55880139099201627714227094808.197138.118133771.55756139434201592014250394831.997115.71812480OpenBenchmarking.org

NAMD

NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsRun 1Run 2Run 30.35070.70141.05211.40281.7535SE +/- 0.00371, N = 3SE +/- 0.00152, N = 3SE +/- 0.00130, N = 31.557181.558801.55756
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsRun 1Run 2Run 3246810Min: 1.55 / Avg: 1.56 / Max: 1.56Min: 1.56 / Avg: 1.56 / Max: 1.56Min: 1.56 / Avg: 1.56 / Max: 1.56

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 330K60K90K120K150KSE +/- 98.00, N = 3SE +/- 54.67, N = 3SE +/- 143.24, N = 3139071139099139434
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetRun 1Run 2Run 320K40K60K80K100KMin: 138889 / Avg: 139071 / Max: 139225Min: 138990 / Avg: 139099.33 / Max: 139155Min: 139160 / Avg: 139434.33 / Max: 139643

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Run 1Run 2Run 3400K800K1200K1600K2000KSE +/- 679.71, N = 3SE +/- 982.21, N = 3SE +/- 1110.99, N = 3201363320162772015920
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Run 1Run 2Run 3300K600K900K1200K1500KMin: 2012880 / Avg: 2013633.33 / Max: 2014990Min: 2014340 / Avg: 2016276.67 / Max: 2017530Min: 2014550 / Avg: 2015920 / Max: 2018120

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileRun 1Run 2Run 330K60K90K120K150KSE +/- 726.28, N = 3SE +/- 983.14, N = 3SE +/- 1263.95, N = 3141493142270142503
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileRun 1Run 2Run 320K40K60K80K100KMin: 140744 / Avg: 141492.67 / Max: 142945Min: 141019 / Avg: 142269.67 / Max: 144209Min: 141060 / Avg: 142503 / Max: 145022

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatRun 1Run 2Run 320K40K60K80K100KSE +/- 43.09, N = 3SE +/- 122.03, N = 3SE +/- 127.35, N = 394746.894808.194831.9
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatRun 1Run 2Run 316K32K48K64K80KMin: 94702.6 / Avg: 94746.83 / Max: 94833Min: 94567 / Avg: 94808.13 / Max: 94961.3Min: 94583.5 / Avg: 94831.87 / Max: 95004.9

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantRun 1Run 2Run 320K40K60K80K100KSE +/- 51.15, N = 3SE +/- 58.50, N = 3SE +/- 86.72, N = 397075.997138.197115.7
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantRun 1Run 2Run 320K40K60K80K100KMin: 96977.1 / Avg: 97075.9 / Max: 97148.3Min: 97046.6 / Avg: 97138.1 / Max: 97247Min: 96942.3 / Avg: 97115.7 / Max: 97205.5

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Run 1Run 2Run 3400K800K1200K1600K2000KSE +/- 1167.51, N = 3SE +/- 583.16, N = 3SE +/- 489.93, N = 3180986718133771812480
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Run 1Run 2Run 3300K600K900K1200K1500KMin: 1807570 / Avg: 1809866.67 / Max: 1811380Min: 1812430 / Avg: 1813376.67 / Max: 1814440Min: 1811590 / Avg: 1812480 / Max: 1813280