3300X New Updates

AMD Ryzen 3 3300X 4-Core testing with a MSI B350M GAMING PRO (MS-7A39) v1.0 (2.NR BIOS) and AMD FirePro V3800 512MB 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 2009015-FI-3300XNEWU47
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September 01 2020
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September 01 2020
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September 01 2020
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3300X New UpdatesOpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen 3 3300X 4-Core @ 3.80GHz (4 Cores / 8 Threads)MSI B350M GAMING PRO (MS-7A39) v1.0 (2.NR BIOS)AMD Starship/Matisse8GB256GB INTEL SSDPEKKW256G7AMD FirePro V3800 512MBAMD Redwood HDMI AudioVA2431Realtek RTL8111/8168/8411Ubuntu 20.045.9.0-050900rc1daily20200819-generic (x86_64) 20200818GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.83.3 Mesa 20.0.8 (LLVM 10.0.0)GCC 9.3.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen Resolution3300X New Updates PerformanceSystem 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

3300X 1Run 2Run 3Result OverviewPhoronix Test Suite100%100%100%100%NAMDTensorFlow LiteTensorFlow LiteTensorFlow LiteTensorFlow LiteTensorFlow LiteTensorFlow LiteATPase Simulation - 327,506 AtomsNASNet MobileMobilenet QuantSqueezeNetMobilenet FloatInception V4I.R.V

3300X New Updatesnamd: ATPase Simulation - 327,506 Atomstensorflow-lite: NASNet Mobiletensorflow-lite: Mobilenet Quanttensorflow-lite: SqueezeNettensorflow-lite: Mobilenet Floattensorflow-lite: Inception V4tensorflow-lite: Inception ResNet V23300X 1Run 2Run 34.30178261804253504365433246405527644347790634.28738261745253377365424246351527695047794334.2953026160125351136551524635852774204779617OpenBenchmarking.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 Atoms3300X 1Run 2Run 30.96791.93582.90373.87164.8395SE +/- 0.01571, N = 3SE +/- 0.00720, N = 3SE +/- 0.00664, N = 34.301784.287384.29530

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: NASNet Mobile3300X 1Run 2Run 360K120K180K240K300KSE +/- 77.62, N = 3SE +/- 10.73, N = 3SE +/- 54.03, N = 3261804261745261601

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet Quant3300X 1Run 2Run 350K100K150K200K250KSE +/- 21.18, N = 3SE +/- 101.44, N = 3SE +/- 86.95, N = 3253504253377253511

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNet3300X 1Run 2Run 380K160K240K320K400KSE +/- 84.00, N = 3SE +/- 132.67, N = 3SE +/- 23.73, N = 3365433365424365515

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet Float3300X 1Run 2Run 350K100K150K200K250KSE +/- 134.04, N = 3SE +/- 33.87, N = 3SE +/- 43.94, N = 3246405246351246358

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V43300X 1Run 2Run 31.1M2.2M3.3M4.4M5.5MSE +/- 241.82, N = 3SE +/- 883.91, N = 3SE +/- 368.65, N = 3527644352769505277420

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V23300X 1Run 2Run 31000K2000K3000K4000K5000KSE +/- 117.24, N = 3SE +/- 507.49, N = 3SE +/- 460.88, N = 3477906347794334779617