3900XT 2021a

AMD Ryzen 9 3900XT 12-Core testing with a MSI MEG X570 GODLIKE (MS-7C34) v1.0 (1.B3 BIOS) and AMD Radeon RX 56/64 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 2101132-HA-3900XT20230
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January 12 2021
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January 12 2021
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January 13 2021
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3900XT 2021aProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen Resolution123AMD Ryzen 9 3900XT 12-Core @ 3.80GHz (12 Cores / 24 Threads)MSI MEG X570 GODLIKE (MS-7C34) v1.0 (1.B3 BIOS)AMD Starship/Matisse16GB500GB Seagate FireCuda 520 SSD ZP500GM30002AMD Radeon RX 56/64 8GB (1630/945MHz)AMD Vega 10 HDMI AudioASUS MG28URealtek Device 2600 + Realtek Device 3000 + 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: 0x8701021Security 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

123Result OverviewPhoronix Test Suite100%101%102%102%103%Mobile Neural NetworkMobile Neural NetworkMobile Neural NetworkMobile Neural NetworkMobile Neural NetworkLAMMPS Molecular Dynamics SimulatorQuantum ESPRESSOLAMMPS Molecular Dynamics SimulatorSqueezeNetV1.0MobileNetV2_224inception-v3mobilenet-v1-1.0resnet-v2-5020k AtomsAUSURF112Rhodopsin Protein

3900XT 2021aqe: AUSURF112lammps: 20k Atomslammps: Rhodopsin Proteinmnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v31231242.259.6549.5257.52834.6174.7594.52537.2751236.059.7259.4907.34934.2914.6544.46536.9461246.989.6189.4487.29434.1294.6364.52936.431OpenBenchmarking.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: AUSURF11212330060090012001500SE +/- 2.05, N = 3SE +/- 1.68, N = 3SE +/- 4.04, N = 31242.251236.051246.981. (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: AUSURF1121232004006008001000Min: 1238.44 / Avg: 1242.25 / Max: 1245.47Min: 1234.28 / Avg: 1236.05 / Max: 1239.41Min: 1241.89 / Avg: 1246.98 / Max: 1254.971. (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

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 Atoms1233691215SE +/- 0.030, N = 3SE +/- 0.023, N = 3SE +/- 0.039, N = 39.6549.7259.6181. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k Atoms1233691215Min: 9.6 / Avg: 9.65 / Max: 9.69Min: 9.68 / Avg: 9.72 / Max: 9.76Min: 9.55 / Avg: 9.62 / Max: 9.681. (CXX) g++ options: -O3 -pthread -lm

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin Protein1233691215SE +/- 0.025, N = 3SE +/- 0.047, N = 3SE +/- 0.048, N = 39.5259.4909.4481. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin Protein1233691215Min: 9.48 / Avg: 9.52 / Max: 9.56Min: 9.41 / Avg: 9.49 / Max: 9.57Min: 9.37 / Avg: 9.45 / Max: 9.541. (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: SqueezeNetV1.0123246810SE +/- 0.049, N = 3SE +/- 0.079, N = 7SE +/- 0.045, N = 37.5287.3497.294MIN: 7.04 / MAX: 16.37MIN: 6.71 / MAX: 17.78MIN: 6.77 / MAX: 15.31. (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: SqueezeNetV1.01233691215Min: 7.43 / Avg: 7.53 / Max: 7.59Min: 7.02 / Avg: 7.35 / Max: 7.58Min: 7.23 / Avg: 7.29 / Max: 7.381. (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-v2-50123816243240SE +/- 0.16, N = 3SE +/- 0.15, N = 7SE +/- 0.31, N = 334.6234.2934.13MIN: 33.33 / MAX: 43.97MIN: 32.9 / MAX: 44.71MIN: 32.93 / MAX: 44.141. (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: resnet-v2-50123714212835Min: 34.37 / Avg: 34.62 / Max: 34.91Min: 33.6 / Avg: 34.29 / Max: 34.79Min: 33.73 / Avg: 34.13 / Max: 34.751. (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_2241231.07082.14163.21244.28325.354SE +/- 0.068, N = 3SE +/- 0.052, N = 7SE +/- 0.028, N = 34.7594.6544.636MIN: 4.52 / MAX: 26.38MIN: 4.28 / MAX: 13.56MIN: 4.44 / MAX: 12.861. (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: MobileNetV2_224123246810Min: 4.66 / Avg: 4.76 / Max: 4.89Min: 4.43 / Avg: 4.65 / Max: 4.82Min: 4.58 / Avg: 4.64 / Max: 4.661. (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-v1-1.01231.0192.0383.0574.0765.095SE +/- 0.030, N = 3SE +/- 0.041, N = 7SE +/- 0.021, N = 34.5254.4654.529MIN: 4.28 / MAX: 12.54MIN: 4.12 / MAX: 12.62MIN: 4.28 / MAX: 13.751. (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-v1-1.0123246810Min: 4.47 / Avg: 4.53 / Max: 4.56Min: 4.26 / Avg: 4.47 / Max: 4.6Min: 4.5 / Avg: 4.53 / Max: 4.571. (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-v3123918273645SE +/- 0.13, N = 3SE +/- 0.16, N = 7SE +/- 0.25, N = 337.2836.9536.43MIN: 35.92 / MAX: 45.89MIN: 35.17 / MAX: 47.35MIN: 34.92 / MAX: 46.411. (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-v3123816243240Min: 37.01 / Avg: 37.27 / Max: 37.44Min: 36.34 / Avg: 36.95 / Max: 37.44Min: 36.05 / Avg: 36.43 / Max: 36.921. (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

8 Results Shown

Quantum ESPRESSO
LAMMPS Molecular Dynamics Simulator:
  20k Atoms
  Rhodopsin Protein
Mobile Neural Network:
  SqueezeNetV1.0
  resnet-v2-50
  MobileNetV2_224
  mobilenet-v1-1.0
  inception-v3