Ryzen 3 3300X Weekend

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 2009207-FI-RYZEN333064
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Ryzen 3 3300X
September 19 2020
  5 Hours, 44 Minutes
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September 19 2020
  5 Hours, 7 Minutes
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September 20 2020
  5 Hours, 8 Minutes
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Ryzen 3 3300X WeekendOpenBenchmarking.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-rc5-14sep-patch (x86_64) 20200914GNOME 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 ResolutionRyzen 3 3300X Weekend BenchmarksSystem Logs- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v - Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701021- GLAMOR- Python 3.8.2- 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

Ryzen 3 3300XConfirm 2Confirm 3Result OverviewPhoronix Test Suite100%101%102%103%104%Incompact3DNCNNLAMMPS Molecular Dynamics SimulatorMonte Carlo Simulations of Ionised NebulaeMobile Neural NetworkGLmark2

Ryzen 3 3300X Weekendglmark2: 1920 x 1080incompact3d: Cylindermocassin: Dust 2D tau100.0lammps: 20k Atomslammps: Rhodopsin Proteinmnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3ncnn: CPU - squeezenet_int8ncnn: CPU - mobilenet_v3ncnn: CPU - squeezenetncnn: CPU - mnasnetncnn: CPU - blazefacencnn: CPU - googlenet_int8ncnn: CPU - vgg16_int8ncnn: CPU - resnet18_int8ncnn: CPU - alexnetncnn: CPU - resnet50_int8ncnn: CPU - mobilenetv2_yolov3Ryzen 3 3300XConfirm 2Confirm 3302714.6199552793.2143.1006.56230.2463.6054.94036.95716.564.633.184.881.4447.94160.1029.5417.69104.3220.46302739.6580002773.2323.1396.48130.0883.6064.91836.74717.104.643.184.901.6047.93160.5629.5817.66104.2520.38302713.3750002783.2023.1576.55630.0893.5844.93936.87316.524.673.184.901.4647.82160.5229.2918.06104.3220.74OpenBenchmarking.org

GLmark2

This is a test of Linaro's glmark2 port, currently using the X11 OpenGL 2.0 target. GLmark2 is a basic OpenGL benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 1920 x 1080Ryzen 3 3300XConfirm 2Confirm 370140210280350302302302

Incompact3D

Incompact3d is a Fortran-MPI based, finite difference high-performance code for solving the incompressible Navier-Stokes equation and as many as you need scalar transport equations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterIncompact3D 2020-09-17Input: CylinderRyzen 3 3300XConfirm 2Confirm 3160320480640800SE +/- 8.49, N = 6SE +/- 8.89, N = 3SE +/- 3.82, N = 3714.62739.66713.381. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

Monte Carlo Simulations of Ionised Nebulae

Mocassin is the Monte Carlo Simulations of Ionised Nebulae. MOCASSIN is a fully 3D or 2D photoionisation and dust radiative transfer code which employs a Monte Carlo approach to the transfer of radiation through media of arbitrary geometry and density distribution. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24Input: Dust 2D tau100.0Ryzen 3 3300XConfirm 2Confirm 360120180240300SE +/- 0.88, N = 3SE +/- 1.00, N = 32792772781. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

LAMMPS Molecular Dynamics Simulator

LAMMPS is a classical molecular dynamics code, and an acronym for Large-scale Atomic/Molecular Massively Parallel Simulator. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: 20k AtomsRyzen 3 3300XConfirm 2Confirm 30.72721.45442.18162.90883.636SE +/- 0.010, N = 3SE +/- 0.012, N = 3SE +/- 0.007, N = 33.2143.2323.2021. (CXX) g++ options: -O3 -pthread -lm

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin ProteinRyzen 3 3300XConfirm 2Confirm 30.71031.42062.13092.84123.5515SE +/- 0.026, N = 15SE +/- 0.015, N = 3SE +/- 0.028, N = 153.1003.1393.1571. (CXX) g++ options: -O3 -pthread -lm

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by ALibaba. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: SqueezeNetV1.0Ryzen 3 3300XConfirm 2Confirm 3246810SE +/- 0.056, N = 3SE +/- 0.019, N = 3SE +/- 0.042, N = 36.5626.4816.556MIN: 6.38 / MAX: 69.69MIN: 6.36 / MAX: 69.96MIN: 6.37 / MAX: 55.21. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50Ryzen 3 3300XConfirm 2Confirm 3714212835SE +/- 0.12, N = 3SE +/- 0.11, N = 3SE +/- 0.25, N = 330.2530.0930.09MIN: 29.69 / MAX: 93.32MIN: 29.56 / MAX: 92.53MIN: 29.02 / MAX: 93.441. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: MobileNetV2_224Ryzen 3 3300XConfirm 2Confirm 30.81141.62282.43423.24564.057SE +/- 0.021, N = 3SE +/- 0.022, N = 3SE +/- 0.002, N = 33.6053.6063.584MIN: 3.53 / MAX: 66.99MIN: 3.54 / MAX: 49.41MIN: 3.54 / MAX: 8.351. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: mobilenet-v1-1.0Ryzen 3 3300XConfirm 2Confirm 31.11152.2233.33454.4465.5575SE +/- 0.017, N = 3SE +/- 0.019, N = 3SE +/- 0.016, N = 34.9404.9184.939MIN: 4.85 / MAX: 68.02MIN: 4.85 / MAX: 33.81MIN: 4.84 / MAX: 67.871. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v3Ryzen 3 3300XConfirm 2Confirm 3816243240SE +/- 0.21, N = 3SE +/- 0.10, N = 3SE +/- 0.24, N = 336.9636.7536.87MIN: 35.97 / MAX: 100.6MIN: 36.21 / MAX: 99.99MIN: 36.25 / MAX: 100.421. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

NCNN

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenet_int8Ryzen 3 3300XConfirm 2Confirm 348121620SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 316.5617.1016.52MIN: 16.39 / MAX: 17.72MIN: 16.3 / MAX: 84.99MIN: 16.33 / MAX: 17.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenet_v3Ryzen 3 3300XConfirm 2Confirm 31.05082.10163.15244.20325.254SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 34.634.644.67MIN: 4.57 / MAX: 5.37MIN: 4.55 / MAX: 4.73MIN: 4.57 / MAX: 5.531. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetRyzen 3 3300XConfirm 2Confirm 30.71551.4312.14652.8623.5775SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 33.183.183.18MIN: 3.14 / MAX: 3.23MIN: 3.13 / MAX: 3.22MIN: 3.12 / MAX: 3.221. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetRyzen 3 3300XConfirm 2Confirm 31.10252.2053.30754.415.5125SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 34.884.904.90MIN: 4.81 / MAX: 5.12MIN: 4.82 / MAX: 5.83MIN: 4.77 / MAX: 5.461. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceRyzen 3 3300XConfirm 2Confirm 30.360.721.081.441.8SE +/- 0.02, N = 3SE +/- 0.10, N = 3SE +/- 0.04, N = 31.441.601.46MIN: 1.38 / MAX: 1.49MIN: 1.43 / MAX: 69.73MIN: 1.37 / MAX: 1.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet_int8Ryzen 3 3300XConfirm 2Confirm 31122334455SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 347.9447.9347.82MIN: 47.1 / MAX: 114.53MIN: 47.06 / MAX: 124.87MIN: 47.13 / MAX: 114.061. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16_int8Ryzen 3 3300XConfirm 2Confirm 34080120160200SE +/- 0.08, N = 3SE +/- 0.13, N = 3SE +/- 0.04, N = 3160.10160.56160.52MIN: 158.59 / MAX: 224.9MIN: 159.1 / MAX: 236.24MIN: 159.18 / MAX: 229.11. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18_int8Ryzen 3 3300XConfirm 2Confirm 3714212835SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 329.5429.5829.29MIN: 29.03 / MAX: 99.27MIN: 29 / MAX: 102.78MIN: 29.05 / MAX: 40.461. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetRyzen 3 3300XConfirm 2Confirm 348121620SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 317.6917.6618.06MIN: 17.54 / MAX: 18.26MIN: 17.53 / MAX: 19.66MIN: 17.56 / MAX: 78.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50_int8Ryzen 3 3300XConfirm 2Confirm 320406080100SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3104.32104.25104.32MIN: 102.9 / MAX: 174.43MIN: 103.2 / MAX: 186.75MIN: 102.46 / MAX: 169.941. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetv2_yolov3Ryzen 3 3300XConfirm 2Confirm 3510152025SE +/- 0.27, N = 3SE +/- 0.05, N = 3SE +/- 0.19, N = 320.4620.3820.74MIN: 19.86 / MAX: 85.36MIN: 20.23 / MAX: 33.31MIN: 19.93 / MAX: 118.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread