3700X

AMD Ryzen 7 3700X 8-Core testing with a Gigabyte A320M-S2H-CF (F52a BIOS) and HIS AMD Radeon HD 7750/8740 / R7 250E 1GB 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 2009023-FI-3700X498660
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R1
September 02 2020
  32 Minutes
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September 02 2020
  31 Minutes
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September 02 2020
  31 Minutes
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3700XOpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen 7 3700X 8-Core @ 3.60GHz (8 Cores / 16 Threads)Gigabyte A320M-S2H-CF (F52a BIOS)AMD Starship/Matisse8GB240GB TOSHIBA RC100HIS AMD Radeon HD 7750/8740 / R7 250E 1GBAMD Oland/Hainan/CapeVA2431Realtek RTL8111/8168/8411Ubuntu 20.045.9.0-050900rc1daily20200817-generic (x86_64) 20200816GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.84.5 Mesa 20.0.8 (LLVM 10.0.0)GCC 9.3.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen Resolution3700X 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

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 AtomsR3R2R10.50931.01861.52792.03722.5465SE +/- 0.00810, N = 3SE +/- 0.00600, N = 3SE +/- 0.00629, N = 32.257112.260562.26358

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: SqueezeNetR3R2R140K80K120K160K200KSE +/- 138.40, N = 3SE +/- 88.37, N = 3SE +/- 94.23, N = 3190562190663190706

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4R2R3R1600K1200K1800K2400K3000KSE +/- 2468.40, N = 3SE +/- 3741.23, N = 3SE +/- 4122.19, N = 3275602727577032758073

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileR1R3R240K80K120K160K200KSE +/- 609.26, N = 3SE +/- 1258.69, N = 3SE +/- 2104.44, N = 3166065166611167203

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatR2R3R130K60K90K120K150KSE +/- 115.94, N = 3SE +/- 113.06, N = 3SE +/- 57.66, N = 3128066128128128235

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantR2R3R130K60K90K120K150KSE +/- 62.41, N = 3SE +/- 10.41, N = 3SE +/- 59.14, N = 3130967131012131051

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2R3R2R1500K1000K1500K2000K2500KSE +/- 2120.80, N = 3SE +/- 2439.16, N = 3SE +/- 1187.02, N = 3249643724968372499163