Ryzen 5 4500U Scientific Workloads And More

AMD Ryzen 5 4500U testing with a LENOVO LNVNB161216 (EECN20WW BIOS) and AMD Renoir 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 2009211-FI-RYZEN545007
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Linux 5.8
September 20 2020
  7 Hours, 24 Minutes
Linux 5.8.10
September 20 2020
  11 Hours, 23 Minutes
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September 21 2020
  10 Hours, 22 Minutes
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Ryzen 5 4500U Scientific Workloads And MoreOpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen 5 4500U @ 2.38GHz (6 Cores)LENOVO LNVNB161216 (EECN20WW BIOS)AMD Renoir Root Complex16GB256GB SKHynix_HFM256GDHTNI-87A0BAMD Renoir 512MB (1500/400MHz)AMD Device 1637Realtek RTL8822CE 802.11ac PCIeUbuntu 20.045.8.0-050800daily20200806-generic (x86_64)5.8.10-050810-generic (x86_64)5.9.0-050900rc6-generic (x86_64) 20200920GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.84.6 Mesa 20.0.8 (LLVM 10.0.0)GCC 9.3.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelsDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionRyzen 5 4500U Scientific Workloads And More 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: 0x8600102- 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 IBRS_FW STIBP: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Linux 5.8Linux 5.8.10Linux 5.9-rc6Result OverviewPhoronix Test Suite100%109%117%126%134%KripkeNAMDIncompact3DNCNNMonte Carlo Simulations of Ionised NebulaeGPAWMobile Neural NetworkLAMMPS Molecular Dynamics Simulator

Ryzen 5 4500U Scientific Workloads And Morenamd: ATPase Simulation - 327,506 Atomsincompact3d: Cylindermocassin: Dust 2D tau100.0lammps: 20k Atomslammps: Rhodopsin Proteingpaw: Carbon Nanotubemnn: 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_yolov3kripke: Linux 5.8Linux 5.8.10Linux 5.9-rc64.71712599.1255493013.6813.925871.5548.77232.2844.8514.83544.82917.177.065.126.241.6249.17226.5332.0923.27107.2128.4451206454.70037594.4935912993.6723.932867.5298.76432.5554.8664.88845.10617.426.684.496.081.6450.95224.8232.7323.17107.6227.7751243144.62491605.1583462983.6883.957865.0058.70932.4534.8514.91244.76817.097.084.846.231.6349.84224.6332.4723.16107.3528.256861463OpenBenchmarking.org

NAMD

NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsLinux 5.8Linux 5.8.10Linux 5.9-rc61.06142.12283.18424.24565.307SE +/- 0.06412, N = 3SE +/- 0.05200, N = 3SE +/- 0.06953, N = 34.717124.700374.62491
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsLinux 5.8Linux 5.8.10Linux 5.9-rc6246810Min: 4.59 / Avg: 4.72 / Max: 4.81Min: 4.61 / Avg: 4.7 / Max: 4.78Min: 4.5 / Avg: 4.62 / Max: 4.74

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: CylinderLinux 5.8Linux 5.8.10Linux 5.9-rc6130260390520650SE +/- 3.02, N = 3SE +/- 3.13, N = 3SE +/- 9.93, N = 3599.13594.49605.161. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
OpenBenchmarking.orgSeconds, Fewer Is BetterIncompact3D 2020-09-17Input: CylinderLinux 5.8Linux 5.8.10Linux 5.9-rc6110220330440550Min: 593.09 / Avg: 599.13 / Max: 602.33Min: 588.76 / Avg: 594.49 / Max: 599.52Min: 591.67 / Avg: 605.16 / Max: 624.541. (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 tau100.0Linux 5.8Linux 5.8.10Linux 5.9-rc670140210280350SE +/- 0.88, N = 3SE +/- 0.67, N = 3SE +/- 0.33, N = 33012992981. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
OpenBenchmarking.orgSeconds, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24Input: Dust 2D tau100.0Linux 5.8Linux 5.8.10Linux 5.9-rc650100150200250Min: 300 / Avg: 301.33 / Max: 303Min: 298 / Avg: 299.33 / Max: 300Min: 297 / Avg: 297.67 / Max: 2981. (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 AtomsLinux 5.8Linux 5.8.10Linux 5.9-rc60.82981.65962.48943.31924.149SE +/- 0.001, N = 3SE +/- 0.011, N = 3SE +/- 0.013, N = 33.6813.6723.6881. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: 20k AtomsLinux 5.8Linux 5.8.10Linux 5.9-rc6246810Min: 3.68 / Avg: 3.68 / Max: 3.68Min: 3.66 / Avg: 3.67 / Max: 3.69Min: 3.67 / Avg: 3.69 / Max: 3.711. (CXX) g++ options: -O3 -pthread -lm

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin ProteinLinux 5.8Linux 5.8.10Linux 5.9-rc60.89031.78062.67093.56124.4515SE +/- 0.010, N = 3SE +/- 0.007, N = 3SE +/- 0.004, N = 33.9253.9323.9571. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin ProteinLinux 5.8Linux 5.8.10Linux 5.9-rc6246810Min: 3.91 / Avg: 3.93 / Max: 3.94Min: 3.92 / Avg: 3.93 / Max: 3.94Min: 3.95 / Avg: 3.96 / Max: 3.961. (CXX) g++ options: -O3 -pthread -lm

GPAW

GPAW is a density-functional theory (DFT) Python code based on the projector-augmented wave (PAW) method and the atomic simulation environment (ASE). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 20.1Input: Carbon NanotubeLinux 5.8Linux 5.8.10Linux 5.9-rc62004006008001000SE +/- 6.82, N = 3SE +/- 1.35, N = 3SE +/- 1.86, N = 3871.55867.53865.011. (CC) gcc options: -pthread -shared -fwrapv -O2 -lxc -lblas -lmpi
OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 20.1Input: Carbon NanotubeLinux 5.8Linux 5.8.10Linux 5.9-rc6150300450600750Min: 862.89 / Avg: 871.55 / Max: 885Min: 864.95 / Avg: 867.53 / Max: 869.5Min: 861.34 / Avg: 865.01 / Max: 867.371. (CC) gcc options: -pthread -shared -fwrapv -O2 -lxc -lblas -lmpi

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: SqueezeNetV1.0Linux 5.8Linux 5.8.10Linux 5.9-rc6246810SE +/- 0.009, N = 3SE +/- 0.057, N = 3SE +/- 0.059, N = 38.7728.7648.709MIN: 7.8 / MAX: 26.66MIN: 8.47 / MAX: 22.07MIN: 7.77 / MAX: 26.251. (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: SqueezeNetV1.0Linux 5.8Linux 5.8.10Linux 5.9-rc63691215Min: 8.75 / Avg: 8.77 / Max: 8.78Min: 8.65 / Avg: 8.76 / Max: 8.82Min: 8.59 / Avg: 8.71 / Max: 8.781. (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 2020-09-17Model: resnet-v2-50Linux 5.8Linux 5.8.10Linux 5.9-rc6816243240SE +/- 0.05, N = 3SE +/- 0.33, N = 3SE +/- 0.18, N = 332.2832.5632.45MIN: 30.09 / MAX: 68.97MIN: 31.12 / MAX: 90.26MIN: 29.74 / MAX: 53.521. (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-v2-50Linux 5.8Linux 5.8.10Linux 5.9-rc6714212835Min: 32.19 / Avg: 32.28 / Max: 32.35Min: 31.93 / Avg: 32.56 / Max: 33.03Min: 32.11 / Avg: 32.45 / Max: 32.731. (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_224Linux 5.8Linux 5.8.10Linux 5.9-rc61.09492.18983.28474.37965.4745SE +/- 0.026, N = 3SE +/- 0.022, N = 3SE +/- 0.029, N = 34.8514.8664.851MIN: 4.38 / MAX: 21.17MIN: 4.68 / MAX: 17.92MIN: 4.42 / MAX: 21.981. (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 2020-09-17Model: MobileNetV2_224Linux 5.8Linux 5.8.10Linux 5.9-rc6246810Min: 4.82 / Avg: 4.85 / Max: 4.9Min: 4.82 / Avg: 4.87 / Max: 4.9Min: 4.8 / Avg: 4.85 / Max: 4.891. (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-v1-1.0Linux 5.8Linux 5.8.10Linux 5.9-rc61.10522.21043.31564.42085.526SE +/- 0.023, N = 3SE +/- 0.037, N = 3SE +/- 0.068, N = 34.8354.8884.912MIN: 4.68 / MAX: 18.19MIN: 4.71 / MAX: 18.12MIN: 4.52 / MAX: 21.581. (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-v1-1.0Linux 5.8Linux 5.8.10Linux 5.9-rc6246810Min: 4.79 / Avg: 4.83 / Max: 4.87Min: 4.82 / Avg: 4.89 / Max: 4.94Min: 4.8 / Avg: 4.91 / Max: 5.031. (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-v3Linux 5.8Linux 5.8.10Linux 5.9-rc61020304050SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 344.8345.1144.77MIN: 42.14 / MAX: 63.98MIN: 44.12 / MAX: 61.83MIN: 42.64 / MAX: 65.151. (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-v3Linux 5.8Linux 5.8.10Linux 5.9-rc6918273645Min: 44.76 / Avg: 44.83 / Max: 44.92Min: 44.97 / Avg: 45.11 / Max: 45.24Min: 44.65 / Avg: 44.77 / Max: 44.851. (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_int8Linux 5.8Linux 5.8.10Linux 5.9-rc648121620SE +/- 0.26, N = 3SE +/- 0.17, N = 9SE +/- 0.21, N = 517.1717.4217.09MIN: 16.02 / MAX: 38.45MIN: 15.4 / MAX: 55.09MIN: 15.4 / MAX: 41.691. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenet_int8Linux 5.8Linux 5.8.10Linux 5.9-rc648121620Min: 16.72 / Avg: 17.17 / Max: 17.61Min: 16.47 / Avg: 17.42 / Max: 18.05Min: 16.29 / Avg: 17.09 / Max: 17.491. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenet_v3Linux 5.8Linux 5.8.10Linux 5.9-rc6246810SE +/- 0.09, N = 3SE +/- 0.24, N = 9SE +/- 0.17, N = 57.066.687.08MIN: 6.09 / MAX: 23.42MIN: 6.24 / MAX: 182.11MIN: 5.9 / MAX: 63.591. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenet_v3Linux 5.8Linux 5.8.10Linux 5.9-rc63691215Min: 6.88 / Avg: 7.06 / Max: 7.19Min: 6.33 / Avg: 6.68 / Max: 8.59Min: 6.74 / Avg: 7.08 / Max: 7.691. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetLinux 5.8Linux 5.8.10Linux 5.9-rc61.1522.3043.4564.6085.76SE +/- 0.23, N = 3SE +/- 0.04, N = 9SE +/- 0.11, N = 55.124.494.84MIN: 4.22 / MAX: 20.73MIN: 4.2 / MAX: 20.89MIN: 3.98 / MAX: 22.461. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetLinux 5.8Linux 5.8.10Linux 5.9-rc6246810Min: 4.74 / Avg: 5.12 / Max: 5.53Min: 4.26 / Avg: 4.49 / Max: 4.63Min: 4.5 / Avg: 4.84 / Max: 5.121. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetLinux 5.8Linux 5.8.10Linux 5.9-rc6246810SE +/- 0.09, N = 3SE +/- 0.07, N = 9SE +/- 0.15, N = 56.246.086.23MIN: 5.58 / MAX: 23.67MIN: 5.62 / MAX: 10.53MIN: 5.32 / MAX: 39.691. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetLinux 5.8Linux 5.8.10Linux 5.9-rc6246810Min: 6.08 / Avg: 6.24 / Max: 6.4Min: 5.76 / Avg: 6.08 / Max: 6.5Min: 5.83 / Avg: 6.23 / Max: 6.731. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceLinux 5.8Linux 5.8.10Linux 5.9-rc60.3690.7381.1071.4761.845SE +/- 0.02, N = 3SE +/- 0.02, N = 9SE +/- 0.04, N = 51.621.641.63MIN: 1.42 / MAX: 11.87MIN: 1.41 / MAX: 2.06MIN: 1.4 / MAX: 12.11. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceLinux 5.8Linux 5.8.10Linux 5.9-rc6246810Min: 1.6 / Avg: 1.62 / Max: 1.66Min: 1.54 / Avg: 1.64 / Max: 1.7Min: 1.5 / Avg: 1.63 / Max: 1.781. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet_int8Linux 5.8Linux 5.8.10Linux 5.9-rc61122334455SE +/- 0.57, N = 3SE +/- 0.49, N = 9SE +/- 0.56, N = 549.1750.9549.84MIN: 45.02 / MAX: 111.92MIN: 44.27 / MAX: 120.39MIN: 45.37 / MAX: 90.931. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet_int8Linux 5.8Linux 5.8.10Linux 5.9-rc61020304050Min: 48.24 / Avg: 49.17 / Max: 50.22Min: 47.43 / Avg: 50.95 / Max: 52.14Min: 48.4 / Avg: 49.84 / Max: 51.21. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16_int8Linux 5.8Linux 5.8.10Linux 5.9-rc650100150200250SE +/- 0.37, N = 3SE +/- 0.42, N = 9SE +/- 0.67, N = 5226.53224.82224.63MIN: 223.17 / MAX: 284.44MIN: 219.98 / MAX: 273.81MIN: 220.04 / MAX: 265.111. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16_int8Linux 5.8Linux 5.8.10Linux 5.9-rc64080120160200Min: 225.79 / Avg: 226.53 / Max: 226.92Min: 222.69 / Avg: 224.82 / Max: 226.26Min: 223.01 / Avg: 224.63 / Max: 226.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18_int8Linux 5.8Linux 5.8.10Linux 5.9-rc6816243240SE +/- 0.21, N = 3SE +/- 0.13, N = 9SE +/- 0.28, N = 532.0932.7332.47MIN: 30.44 / MAX: 52.21MIN: 30.3 / MAX: 86.5MIN: 30.31 / MAX: 53.041. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18_int8Linux 5.8Linux 5.8.10Linux 5.9-rc6714212835Min: 31.73 / Avg: 32.09 / Max: 32.46Min: 31.92 / Avg: 32.73 / Max: 33.04Min: 31.38 / Avg: 32.47 / Max: 32.911. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetLinux 5.8Linux 5.8.10Linux 5.9-rc6612182430SE +/- 0.11, N = 3SE +/- 0.05, N = 9SE +/- 0.08, N = 523.2723.1723.16MIN: 22.68 / MAX: 42.59MIN: 22.41 / MAX: 54.43MIN: 22.23 / MAX: 45.261. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetLinux 5.8Linux 5.8.10Linux 5.9-rc6510152025Min: 23.08 / Avg: 23.27 / Max: 23.47Min: 22.95 / Avg: 23.17 / Max: 23.36Min: 22.85 / Avg: 23.16 / Max: 23.31. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50_int8Linux 5.8Linux 5.8.10Linux 5.9-rc620406080100SE +/- 0.85, N = 3SE +/- 0.33, N = 9SE +/- 0.68, N = 5107.21107.62107.35MIN: 102.49 / MAX: 154.47MIN: 103.77 / MAX: 166.06MIN: 103.75 / MAX: 149.491. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50_int8Linux 5.8Linux 5.8.10Linux 5.9-rc620406080100Min: 106.14 / Avg: 107.21 / Max: 108.88Min: 106.1 / Avg: 107.62 / Max: 108.81Min: 105.45 / Avg: 107.35 / Max: 109.621. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetv2_yolov3Linux 5.8Linux 5.8.10Linux 5.9-rc6714212835SE +/- 0.37, N = 3SE +/- 0.05, N = 9SE +/- 0.14, N = 528.4427.7728.25MIN: 26.33 / MAX: 49.55MIN: 26.71 / MAX: 88.9MIN: 26.21 / MAX: 58.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetv2_yolov3Linux 5.8Linux 5.8.10Linux 5.9-rc6612182430Min: 27.87 / Avg: 28.44 / Max: 29.14Min: 27.53 / Avg: 27.77 / Max: 28.03Min: 27.76 / Avg: 28.25 / Max: 28.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Kripke

Kripke is a simple, scalable, 3D Sn deterministic particle transport code. Its primary purpose is to research how data layout, programming paradigms and architectures effect the implementation and performance of Sn transport. Kripke is developed by LLNL. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.4Linux 5.8Linux 5.8.10Linux 5.9-rc61.5M3M4.5M6M7.5MSE +/- 14064.90, N = 3SE +/- 11152.18, N = 3SE +/- 67263.66, N = 95120645512431468614631. (CXX) g++ options: -O3 -fopenmp
OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.4Linux 5.8Linux 5.8.10Linux 5.9-rc61.2M2.4M3.6M4.8M6MMin: 5094258 / Avg: 5120645 / Max: 5142280Min: 5110401 / Avg: 5124314 / Max: 5146368Min: 6624575 / Avg: 6861463.33 / Max: 73133091. (CXX) g++ options: -O3 -fopenmp