3990X n

AMD Ryzen Threadripper 3990X 64-Core testing with a System76 Thelio Major (F4c Z5 BIOS) and AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB on Pop 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 2101148-PTS-3990XN1101
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3990X nProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen Resolution1234AMD Ryzen Threadripper 3990X 64-Core @ 2.90GHz (64 Cores / 128 Threads)System76 Thelio Major (F4c Z5 BIOS)AMD Starship/Matisse126GBSamsung SSD 970 EVO Plus 500GBAMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (1750/875MHz)AMD Navi 10 HDMI AudioDELL P2415QIntel I211 + Intel Wi-Fi 6 AX200Pop 20.105.8.0-7625-generic (x86_64)GNOME Shell 3.38.1X Server 1.20.8amdgpu 19.1.04.6 Mesa 20.2.1 (LLVM 11.0.0)1.2.131GCC 10.2.0 + Clang 11.0.0-2ext43840x2160OpenBenchmarking.orgKernel Details- snd_usb_audio.ignore_ctl_error=1Compiler 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 ondemand (Boost: Enabled) - CPU Microcode: 0x8301025Security 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

1234Result OverviewPhoronix Test Suite100%100%101%101%102%LAMMPS Molecular Dynamics SimulatorMobile Neural NetworkQuantum ESPRESSOrav1eRELION

3990X nmnn: resnet-v2-50mnn: MobileNetV2_224lammps: Rhodopsin Proteinmnn: mobilenet-v1-1.0lammps: 20k Atomsqe: AUSURF112mnn: inception-v3mnn: SqueezeNetV1.0rav1e: 6rav1e: 1rav1e: 10rav1e: 5relion: Basic - CPU123427.6855.81622.8204.16027.0001076.9235.3357.7191.6050.4183.4091.2121634.75827.7335.89022.7654.11926.8781084.0035.4797.7381.6040.4193.4221.2141633.94627.8606.04122.4334.18926.7121086.1835.6227.6941.6140.4173.4191.2141634.18228.8076.02623.1194.13126.8571081.6935.5007.7551.6100.4173.4211.2141633.703OpenBenchmarking.org

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: resnet-v2-501234714212835SE +/- 0.13, N = 3SE +/- 0.10, N = 3SE +/- 0.25, N = 3SE +/- 0.54, N = 327.6927.7327.8628.81MIN: 27 / MAX: 31.39MIN: 26.97 / MAX: 29.05MIN: 26.73 / MAX: 30.87MIN: 27.32 / MAX: 32.331. (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-v2-501234612182430Min: 27.54 / Avg: 27.69 / Max: 27.95Min: 27.53 / Avg: 27.73 / Max: 27.86Min: 27.37 / Avg: 27.86 / Max: 28.13Min: 28.01 / Avg: 28.81 / Max: 29.841. (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_2241234246810SE +/- 0.072, N = 3SE +/- 0.010, N = 3SE +/- 0.119, N = 3SE +/- 0.099, N = 35.8165.8906.0416.026MIN: 5.42 / MAX: 6.42MIN: 5.5 / MAX: 6.48MIN: 5.52 / MAX: 6.75MIN: 5.42 / MAX: 6.711. (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_2241234246810Min: 5.69 / Avg: 5.82 / Max: 5.93Min: 5.88 / Avg: 5.89 / Max: 5.91Min: 5.91 / Avg: 6.04 / Max: 6.28Min: 5.83 / Avg: 6.03 / Max: 6.131. (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

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: Rhodopsin Protein1234612182430SE +/- 0.18, N = 3SE +/- 0.11, N = 3SE +/- 0.13, N = 3SE +/- 0.04, N = 322.8222.7722.4323.121. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin Protein1234510152025Min: 22.46 / Avg: 22.82 / Max: 23.05Min: 22.63 / Avg: 22.76 / Max: 22.98Min: 22.17 / Avg: 22.43 / Max: 22.58Min: 23.06 / Avg: 23.12 / Max: 23.191. (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 1.1.1Model: mobilenet-v1-1.012340.94251.8852.82753.774.7125SE +/- 0.029, N = 3SE +/- 0.062, N = 3SE +/- 0.047, N = 3SE +/- 0.074, N = 34.1604.1194.1894.131MIN: 3.91 / MAX: 4.55MIN: 3.8 / MAX: 4.56MIN: 3.87 / MAX: 4.54MIN: 3.71 / MAX: 5.221. (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: mobilenet-v1-1.01234246810Min: 4.12 / Avg: 4.16 / Max: 4.22Min: 4 / Avg: 4.12 / Max: 4.21Min: 4.14 / Avg: 4.19 / Max: 4.28Min: 4 / Avg: 4.13 / Max: 4.261. (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

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 Atoms1234612182430SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.11, N = 3SE +/- 0.10, N = 327.0026.8826.7126.861. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k Atoms1234612182430Min: 26.83 / Avg: 27 / Max: 27.16Min: 26.79 / Avg: 26.88 / Max: 27.03Min: 26.51 / Avg: 26.71 / Max: 26.88Min: 26.66 / Avg: 26.86 / Max: 26.971. (CXX) g++ options: -O3 -pthread -lm

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: AUSURF11212342004006008001000SE +/- 4.87, N = 3SE +/- 1.85, N = 3SE +/- 1.10, N = 3SE +/- 3.09, N = 31076.921084.001086.181081.691. (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: AUSURF11212342004006008001000Min: 1067.44 / Avg: 1076.92 / Max: 1083.57Min: 1081.7 / Avg: 1084 / Max: 1087.66Min: 1084.81 / Avg: 1086.18 / Max: 1088.35Min: 1078.2 / Avg: 1081.69 / Max: 1087.851. (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

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: inception-v31234816243240SE +/- 0.33, N = 3SE +/- 0.23, N = 3SE +/- 0.28, N = 3SE +/- 0.36, N = 335.3435.4835.6235.50MIN: 34.23 / MAX: 36.66MIN: 34.33 / MAX: 39.69MIN: 34.69 / MAX: 37.1MIN: 34 / MAX: 37.981. (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-v31234816243240Min: 34.77 / Avg: 35.33 / Max: 35.92Min: 35.04 / Avg: 35.48 / Max: 35.81Min: 35.27 / Avg: 35.62 / Max: 36.18Min: 34.88 / Avg: 35.5 / Max: 36.121. (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: SqueezeNetV1.01234246810SE +/- 0.035, N = 3SE +/- 0.055, N = 3SE +/- 0.046, N = 3SE +/- 0.056, N = 37.7197.7387.6947.755MIN: 7.57 / MAX: 7.9MIN: 7.54 / MAX: 8.18MIN: 7.47 / MAX: 8.01MIN: 7.57 / MAX: 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: SqueezeNetV1.012343691215Min: 7.67 / Avg: 7.72 / Max: 7.79Min: 7.64 / Avg: 7.74 / Max: 7.83Min: 7.61 / Avg: 7.69 / Max: 7.77Min: 7.69 / Avg: 7.76 / Max: 7.871. (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

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: 612340.36320.72641.08961.45281.816SE +/- 0.003, N = 3SE +/- 0.002, N = 3SE +/- 0.006, N = 3SE +/- 0.004, N = 31.6051.6041.6141.610
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 61234246810Min: 1.6 / Avg: 1.6 / Max: 1.61Min: 1.6 / Avg: 1.6 / Max: 1.61Min: 1.6 / Avg: 1.61 / Max: 1.62Min: 1.6 / Avg: 1.61 / Max: 1.62

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 112340.09430.18860.28290.37720.4715SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 30.4180.4190.4170.417
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 1123412345Min: 0.42 / Avg: 0.42 / Max: 0.42Min: 0.42 / Avg: 0.42 / Max: 0.42Min: 0.42 / Avg: 0.42 / Max: 0.42Min: 0.41 / Avg: 0.42 / Max: 0.42

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 1012340.771.542.313.083.85SE +/- 0.004, N = 3SE +/- 0.005, N = 3SE +/- 0.005, N = 3SE +/- 0.004, N = 33.4093.4223.4193.421
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 101234246810Min: 3.4 / Avg: 3.41 / Max: 3.42Min: 3.42 / Avg: 3.42 / Max: 3.43Min: 3.41 / Avg: 3.42 / Max: 3.42Min: 3.42 / Avg: 3.42 / Max: 3.43

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 512340.27320.54640.81961.09281.366SE +/- 0.003, N = 3SE +/- 0.002, N = 3SE +/- 0.003, N = 3SE +/- 0.002, N = 31.2121.2141.2141.214
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 51234246810Min: 1.21 / Avg: 1.21 / Max: 1.22Min: 1.21 / Avg: 1.21 / Max: 1.22Min: 1.21 / Avg: 1.21 / Max: 1.22Min: 1.21 / Avg: 1.21 / Max: 1.22

RELION

OpenBenchmarking.orgSeconds, Fewer Is BetterRELION 3.1.1Test: Basic - Device: CPU1234400800120016002000SE +/- 0.65, N = 3SE +/- 0.84, N = 3SE +/- 0.39, N = 3SE +/- 0.43, N = 31634.761633.951634.181633.701. (CXX) g++ options: -fopenmp -std=c++0x -O3 -rdynamic -ldl -lSM -lICE -lX11 -lXext -lm -ltiff -lfftw3f -lfftw3 -lpng -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgSeconds, Fewer Is BetterRELION 3.1.1Test: Basic - Device: CPU123430060090012001500Min: 1633.96 / Avg: 1634.76 / Max: 1636.05Min: 1632.51 / Avg: 1633.95 / Max: 1635.41Min: 1633.59 / Avg: 1634.18 / Max: 1634.92Min: 1633.19 / Avg: 1633.7 / Max: 1634.561. (CXX) g++ options: -fopenmp -std=c++0x -O3 -rdynamic -ldl -lSM -lICE -lX11 -lXext -lm -ltiff -lfftw3f -lfftw3 -lpng -pthread -lmpi_cxx -lmpi