tr 3970x thurs

AMD Ryzen Threadripper 3970X 32-Core testing with a ASUS ROG ZENITH II EXTREME (1201 BIOS) and AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB on Ubuntu 20.10 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 2101146-HA-TR3970XTH64
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tr 3970x thursProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen Resolution123AMD Ryzen Threadripper 3970X 32-Core @ 3.70GHz (32 Cores / 64 Threads)ASUS ROG ZENITH II EXTREME (1201 BIOS)AMD Starship/Matisse64GBSamsung SSD 980 PRO 500GBAMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (1750/875MHz)AMD Navi 10 HDMI AudioASUS VP28UAquantia AQC107 NBase-T/IEEE + Intel I211 + Intel Wi-Fi 6 AX200Ubuntu 20.105.11.0-rc1-phx (x86_64) 20201228GNOME Shell 3.38.1X Server 1.20.9amdgpu 19.1.04.6 Mesa 20.2.1 (LLVM 11.0.0)1.2.131GCC 10.2.0ext43840x2160OpenBenchmarking.orgCompiler Details- --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,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 Processor Details- Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0x8301039Security Details- 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

tr 3970x thursqe: AUSURF112relion: Basic - CPUlammps: 20k Atomslammps: Rhodopsin Proteinlulesh: rav1e: 1rav1e: 5rav1e: 6rav1e: 10mnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3tnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.11231031.251346.58722.06719.19111490.9410.4311.2271.6493.5016.07621.4094.1492.77727.051248.343233.1641034.801349.81121.99218.85811478.8810.4321.2211.6443.5326.10221.2764.0922.73427.083247.000233.000OpenBenchmarking.org

Quantum ESPRESSO

Quantum ESPRESSO is an integrated suite of Open-Source computer codes for electronic-structure calculations and materials modeling at the nanoscale. It is based on density-functional theory, plane waves, and pseudopotentials. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterQuantum ESPRESSO 6.7Input: AUSURF112122004006008001000SE +/- 0.88, N = 3SE +/- 1.55, N = 31031.251034.801. (F9X) gfortran options: -lopenblas -lFoX_dom -lFoX_sax -lFoX_wxml -lFoX_common -lFoX_utils -lFoX_fsys -lfftw3 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent -levent_pthreads -lutil -lm -lrt -lz
OpenBenchmarking.orgSeconds, Fewer Is BetterQuantum ESPRESSO 6.7Input: AUSURF112122004006008001000Min: 1030.32 / Avg: 1031.25 / Max: 1033.02Min: 1031.91 / Avg: 1034.8 / Max: 1037.231. (F9X) gfortran options: -lopenblas -lFoX_dom -lFoX_sax -lFoX_wxml -lFoX_common -lFoX_utils -lFoX_fsys -lfftw3 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent -levent_pthreads -lutil -lm -lrt -lz

RELION

RELION - REgularised LIkelihood OptimisatioN - is a stand-alone computer program for Maximum A Posteriori refinement of (multiple) 3D reconstructions or 2D class averages in cryo-electron microscopy (cryo-EM). It is developed in the research group of Sjors Scheres at the MRC Laboratory of Molecular Biology. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRELION 3.1.1Test: Basic - Device: CPU1230060090012001500SE +/- 1.66, N = 3SE +/- 1.49, N = 31346.591349.811. (CXX) g++ options: -fopenmp -std=c++0x -O3 -rdynamic -ldl -ltiff -lfftw3f -lfftw3 -lpng -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgSeconds, Fewer Is BetterRELION 3.1.1Test: Basic - Device: CPU122004006008001000Min: 1344.92 / Avg: 1346.59 / Max: 1349.9Min: 1347.79 / Avg: 1349.81 / Max: 1352.711. (CXX) g++ options: -fopenmp -std=c++0x -O3 -rdynamic -ldl -ltiff -lfftw3f -lfftw3 -lpng -pthread -lmpi_cxx -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 29Oct2020Model: 20k Atoms12510152025SE +/- 0.04, N = 3SE +/- 0.06, N = 322.0721.991. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k Atoms12510152025Min: 22.02 / Avg: 22.07 / Max: 22.15Min: 21.87 / Avg: 21.99 / Max: 22.061. (CXX) g++ options: -O3 -pthread -lm

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin Protein12510152025SE +/- 0.35, N = 15SE +/- 0.43, N = 1519.1918.861. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin Protein12510152025Min: 16.8 / Avg: 19.19 / Max: 20.97Min: 16.97 / Avg: 18.86 / Max: 21.91. (CXX) g++ options: -O3 -pthread -lm

LULESH

LULESH is the Livermore Unstructured Lagrangian Explicit Shock Hydrodynamics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.3122K4K6K8K10KSE +/- 92.00, N = 12SE +/- 105.87, N = 1011490.9411478.881. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.3122K4K6K8K10KMin: 10485.59 / Avg: 11490.94 / Max: 11620.96Min: 10534.37 / Avg: 11478.88 / Max: 11648.771. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi

rav1e

Xiph rav1e is a Rust-written AV1 video encoder. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 1120.09720.19440.29160.38880.486SE +/- 0.003, N = 3SE +/- 0.004, N = 30.4310.432
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 11212345Min: 0.43 / Avg: 0.43 / Max: 0.44Min: 0.42 / Avg: 0.43 / Max: 0.44

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 5120.27610.55220.82831.10441.3805SE +/- 0.005, N = 3SE +/- 0.003, N = 31.2271.221
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 512246810Min: 1.22 / Avg: 1.23 / Max: 1.24Min: 1.22 / Avg: 1.22 / Max: 1.23

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 6120.3710.7421.1131.4841.855SE +/- 0.003, N = 3SE +/- 0.015, N = 31.6491.644
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 612246810Min: 1.64 / Avg: 1.65 / Max: 1.66Min: 1.63 / Avg: 1.64 / Max: 1.68

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 10120.79471.58942.38413.17883.9735SE +/- 0.031, N = 3SE +/- 0.025, N = 33.5013.532
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 1012246810Min: 3.44 / Avg: 3.5 / Max: 3.54Min: 3.48 / Avg: 3.53 / Max: 3.57

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 1.1.1Model: SqueezeNetV1.012246810SE +/- 0.049, N = 3SE +/- 0.028, N = 36.0766.102MIN: 5.91 / MAX: 6.31MIN: 5.98 / MAX: 6.271. (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 1.1.1Model: SqueezeNetV1.012246810Min: 5.98 / Avg: 6.08 / Max: 6.15Min: 6.06 / Avg: 6.1 / Max: 6.161. (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 1.1.1Model: resnet-v2-5012510152025SE +/- 0.13, N = 3SE +/- 0.13, N = 321.4121.28MIN: 20.99 / MAX: 22.03MIN: 20.86 / MAX: 221. (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 1.1.1Model: resnet-v2-5012510152025Min: 21.21 / Avg: 21.41 / Max: 21.66Min: 21.12 / Avg: 21.28 / Max: 21.541. (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 1.1.1Model: MobileNetV2_224120.93351.8672.80053.7344.6675SE +/- 0.041, N = 3SE +/- 0.026, N = 34.1494.092MIN: 4.01 / MAX: 4.36MIN: 4.01 / MAX: 4.211. (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 1.1.1Model: MobileNetV2_22412246810Min: 4.07 / Avg: 4.15 / Max: 4.2Min: 4.05 / Avg: 4.09 / Max: 4.141. (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 1.1.1Model: mobilenet-v1-1.0120.62481.24961.87442.49923.124SE +/- 0.020, N = 3SE +/- 0.032, N = 32.7772.734MIN: 2.72 / MAX: 2.91MIN: 2.66 / MAX: 2.951. (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 1.1.1Model: mobilenet-v1-1.012246810Min: 2.74 / Avg: 2.78 / Max: 2.81Min: 2.69 / Avg: 2.73 / Max: 2.81. (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 1.1.1Model: inception-v312612182430SE +/- 0.00, N = 3SE +/- 0.08, N = 327.0527.08MIN: 26.86 / MAX: 27.38MIN: 26.62 / MAX: 27.861. (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 1.1.1Model: inception-v312612182430Min: 27.05 / Avg: 27.05 / Max: 27.05Min: 26.97 / Avg: 27.08 / Max: 27.231. (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

TNN

TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v21250100150200250SE +/- 0.83, N = 3SE +/- 1.47, N = 3248.34247.00MIN: 243.35 / MAX: 367.82MIN: 242.71 / MAX: 379.491. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2124080120160200Min: 246.96 / Avg: 248.34 / Max: 249.83Min: 244.18 / Avg: 247 / Max: 249.111. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.11250100150200250SE +/- 0.11, N = 3SE +/- 0.07, N = 3233.16233.00MIN: 232.58 / MAX: 233.72MIN: 232.44 / MAX: 233.531. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1124080120160200Min: 232.95 / Avg: 233.16 / Max: 233.28Min: 232.92 / Avg: 233 / Max: 233.151. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl


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