5900X Running

AMD Ryzen 9 5900X 12-Core testing with a ASUS ROG CROSSHAIR VIII HERO (2702 BIOS) and Sapphire AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 6GB 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 2101144-PTS-5900XRUN41
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January 13 2021
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5900X RunningProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen Resolution1234AMD Ryzen 9 5900X 12-Core @ 3.70GHz (12 Cores / 24 Threads)ASUS ROG CROSSHAIR VIII HERO (2702 BIOS)AMD Starship/Matisse16GB1000GB Sabrent Rocket 4.0 1TB + 1000GB Samsung SSD 980 PRO 1TBSapphire AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 6GB (1780/875MHz)AMD Navi 10 HDMI AudioASUS VP28URealtek RTL8125 2.5GbE + Intel I211Ubuntu 20.105.11.0-rc2-phx (x86_64) 20210109GNOME Shell 3.38.1X Server 1.20.9modesetting 1.20.94.6 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: 0xa201009Security 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 IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected

1234Result OverviewPhoronix Test Suite100%129%159%188%217%Mobile Neural Networkrav1eLAMMPS Molecular Dynamics SimulatorMobile Neural NetworkMobile Neural NetworkMobile Neural Networkrav1erav1eMobile Neural Networkrav1eQuantum ESPRESSORELIONMobileNetV2_22410Rhodopsin Proteininception-v3mobilenet-v1-1.0SqueezeNetV1.056resnet-v2-501AUSURF112Basic - CPU

5900X Runningqe: AUSURF112relion: Basic - CPUlammps: Rhodopsin Proteinrav1e: 1rav1e: 5rav1e: 6rav1e: 10mnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v312341272.071531.53910.7630.5291.3881.8983.0915.07426.3187.1293.56028.3871278.031532.52510.4420.5241.4241.8723.2685.21626.7853.4443.59529.0461277.131527.79610.5440.5291.4211.8613.0995.13726.3493.3393.49428.0931272.451526.98510.3050.5311.4101.8563.2015.10526.6693.2803.52028.565OpenBenchmarking.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: AUSURF112123430060090012001500SE +/- 0.99, N = 3SE +/- 1.11, N = 3SE +/- 1.99, N = 3SE +/- 1.17, N = 31272.071278.031277.131272.451. (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: 1270.28 / Avg: 1272.07 / Max: 1273.7Min: 1275.88 / Avg: 1278.03 / Max: 1279.6Min: 1274.54 / Avg: 1277.13 / Max: 1281.04Min: 1270.13 / Avg: 1272.45 / Max: 1273.851. (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

RELION

OpenBenchmarking.orgSeconds, Fewer Is BetterRELION 3.1.1Test: Basic - Device: CPU123430060090012001500SE +/- 4.32, N = 3SE +/- 1.01, N = 3SE +/- 1.05, N = 3SE +/- 1.28, N = 31531.541532.531527.801526.991. (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: 1523.78 / Avg: 1531.54 / Max: 1538.71Min: 1530.52 / Avg: 1532.52 / Max: 1533.72Min: 1526.45 / Avg: 1527.8 / Max: 1529.88Min: 1525.37 / Avg: 1526.99 / Max: 1529.511. (CXX) g++ options: -fopenmp -std=c++0x -O3 -rdynamic -ldl -lSM -lICE -lX11 -lXext -lm -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: Rhodopsin Protein12343691215SE +/- 0.08, N = 3SE +/- 0.12, N = 15SE +/- 0.11, N = 5SE +/- 0.14, N = 310.7610.4410.5410.311. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin Protein12343691215Min: 10.6 / Avg: 10.76 / Max: 10.86Min: 9.48 / Avg: 10.44 / Max: 10.93Min: 10.16 / Avg: 10.54 / Max: 10.76Min: 10.03 / Avg: 10.31 / Max: 10.461. (CXX) g++ options: -O3 -pthread -lm

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: 112340.11950.2390.35850.4780.5975SE +/- 0.002, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 30.5290.5240.5290.531
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 11234246810Min: 0.53 / Avg: 0.53 / Max: 0.53Min: 0.52 / Avg: 0.52 / Max: 0.53Min: 0.53 / Avg: 0.53 / Max: 0.53Min: 0.53 / Avg: 0.53 / Max: 0.53

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 512340.32040.64080.96121.28161.602SE +/- 0.011, N = 3SE +/- 0.016, N = 5SE +/- 0.014, N = 3SE +/- 0.015, N = 51.3881.4241.4211.410
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 51234246810Min: 1.37 / Avg: 1.39 / Max: 1.41Min: 1.38 / Avg: 1.42 / Max: 1.47Min: 1.4 / Avg: 1.42 / Max: 1.45Min: 1.37 / Avg: 1.41 / Max: 1.46

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 612340.42710.85421.28131.70842.1355SE +/- 0.012, N = 3SE +/- 0.019, N = 5SE +/- 0.012, N = 3SE +/- 0.018, N = 31.8981.8721.8611.856
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 61234246810Min: 1.88 / Avg: 1.9 / Max: 1.92Min: 1.81 / Avg: 1.87 / Max: 1.92Min: 1.85 / Avg: 1.86 / Max: 1.89Min: 1.83 / Avg: 1.86 / Max: 1.89

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 1012340.73531.47062.20592.94123.6765SE +/- 0.011, N = 3SE +/- 0.064, N = 15SE +/- 0.007, N = 3SE +/- 0.019, N = 33.0913.2683.0993.201
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 101234246810Min: 3.07 / Avg: 3.09 / Max: 3.11Min: 3.09 / Avg: 3.27 / Max: 3.81Min: 3.09 / Avg: 3.1 / Max: 3.11Min: 3.18 / Avg: 3.2 / Max: 3.24

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: SqueezeNetV1.012341.17362.34723.52084.69445.868SE +/- 0.032, N = 3SE +/- 0.074, N = 3SE +/- 0.038, N = 3SE +/- 0.038, N = 35.0745.2165.1375.105MIN: 4.82 / MAX: 14.33MIN: 4.85 / MAX: 15.21MIN: 4.87 / MAX: 14.74MIN: 4.83 / MAX: 6.021. (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: SqueezeNetV1.01234246810Min: 5.01 / Avg: 5.07 / Max: 5.12Min: 5.08 / Avg: 5.22 / Max: 5.34Min: 5.07 / Avg: 5.14 / Max: 5.21Min: 5.03 / Avg: 5.11 / Max: 5.161. (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-v2-501234612182430SE +/- 0.16, N = 3SE +/- 0.14, N = 3SE +/- 0.36, N = 3SE +/- 0.05, N = 326.3226.7926.3526.67MIN: 25.25 / MAX: 36.65MIN: 25.59 / MAX: 36.82MIN: 25.05 / MAX: 37.28MIN: 25.44 / MAX: 38.231. (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
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: resnet-v2-501234612182430Min: 26.03 / Avg: 26.32 / Max: 26.6Min: 26.6 / Avg: 26.79 / Max: 27.07Min: 25.8 / Avg: 26.35 / Max: 27.01Min: 26.6 / Avg: 26.67 / Max: 26.781. (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 +/- 3.132, N = 3SE +/- 0.059, N = 3SE +/- 0.014, N = 3SE +/- 0.012, N = 37.1293.4443.3393.280MIN: 3.04 / MAX: 48.35MIN: 3.13 / MAX: 4.58MIN: 3.11 / MAX: 13.43MIN: 3.04 / MAX: 12.631. (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_22412343691215Min: 3.41 / Avg: 7.13 / Max: 13.35Min: 3.33 / Avg: 3.44 / Max: 3.54Min: 3.33 / Avg: 3.34 / Max: 3.37Min: 3.26 / Avg: 3.28 / Max: 3.31. (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-v1-1.012340.80891.61782.42673.23564.0445SE +/- 0.016, N = 3SE +/- 0.056, N = 3SE +/- 0.013, N = 3SE +/- 0.032, N = 33.5603.5953.4943.520MIN: 3.39 / MAX: 13.66MIN: 3.37 / MAX: 5.95MIN: 3.34 / MAX: 12.91MIN: 3.32 / MAX: 13.051. (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: 3.53 / Avg: 3.56 / Max: 3.58Min: 3.5 / Avg: 3.6 / Max: 3.7Min: 3.47 / Avg: 3.49 / Max: 3.51Min: 3.46 / Avg: 3.52 / Max: 3.571. (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-v31234714212835SE +/- 0.27, N = 3SE +/- 0.04, N = 3SE +/- 0.48, N = 3SE +/- 0.33, N = 328.3929.0528.0928.57MIN: 27.13 / MAX: 38.54MIN: 27.35 / MAX: 52.53MIN: 26.28 / MAX: 39.06MIN: 27.19 / MAX: 38.571. (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-v31234612182430Min: 27.87 / Avg: 28.39 / Max: 28.81Min: 28.97 / Avg: 29.05 / Max: 29.11Min: 27.29 / Avg: 28.09 / Max: 28.95Min: 27.94 / Avg: 28.57 / Max: 29.041. (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