3700X 2021 new

AMD Ryzen 7 3700X 8-Core testing with a Gigabyte A320M-S2H-CF (F52a BIOS) and HIS AMD Radeon HD 7750/8740 / R7 250E 1GB 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 2101155-HA-3700X202165
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3700X 2021 newProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen Resolution1234AMD Ryzen 7 3700X 8-Core @ 3.60GHz (8 Cores / 16 Threads)Gigabyte A320M-S2H-CF (F52a BIOS)AMD Starship/Matisse8GB240GB TOSHIBA RC100HIS AMD Radeon HD 7750/8740 / R7 250E 1GBAMD Oland/Hainan/CapeVA2431Realtek RTL8111/8168/8411Ubuntu 20.045.8.1-050801-generic (x86_64)GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.84.5 Mesa 20.0.8 (LLVM 10.0.0)GCC 9.3.0ext41920x1080OpenBenchmarking.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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/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: 0x8701021Python Details- Python 3.8.5Security 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 Suite 10.2.2100%102%104%106%LAMMPS Molecular Dynamics SimulatorCloverLeafAlgebraic Multi-Grid Benchmarkrav1eOpenFOAMTimed Godot Game Engine Compilationdav1d

3700X 2021 newcloverleaf: Lagrangian-Eulerian Hydrodynamicscp2k: Fayalite-FIST Dataamg: openfoam: Motorbike 30Mlammps: Rhodopsin Proteindav1d: Chimera 1080pdav1d: Summer Nature 4Kdav1d: Summer Nature 1080pdav1d: Chimera 1080p 10-bitrav1e: 1rav1e: 5rav1e: 6rav1e: 10build-godot: Time To Compilemnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3tnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.1kripke: 1234187.041016.65193941133255.665.885520.95168.63463.78103.980.4311.2431.6513.518137.5316.60827.3883.8543.33533.034268.662250.23255382297187.27196942800253.355.746520.47168.26462.65103.510.4311.2491.6473.552137.9786.77827.9583.8903.34134.239266.944249.04955004223188.891016.684196063733254.285.912518.08168.56465.82103.470.4211.2221.6363.518138.1156.67628.0243.8283.31433.913264.850247.80753902810190.681017.378196118000254.916.240518.25168.26465.67103.940.4311.2461.6573.526138.111OpenBenchmarking.org

CloverLeaf

CloverLeaf is a Lagrangian-Eulerian hydrodynamics benchmark. This test profile currently makes use of CloverLeaf's OpenMP version and benchmarked with the clover_bm.in input file (Problem 5). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeafLagrangian-Eulerian Hydrodynamics12344080120160200SE +/- 0.13, N = 3SE +/- 0.21, N = 3SE +/- 0.08, N = 3SE +/- 0.08, N = 3187.04187.27188.89190.681. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeafLagrangian-Eulerian Hydrodynamics1234306090120150Min: 186.81 / Avg: 187.04 / Max: 187.25Min: 186.93 / Avg: 187.27 / Max: 187.65Min: 188.75 / Avg: 188.89 / Max: 189.03Min: 190.57 / Avg: 190.68 / Max: 190.841. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

CP2K Molecular Dynamics

CP2K is an open-source molecular dynamics software package focused on quantum chemistry and solid-state physics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterCP2K Molecular Dynamics 8.1Fayalite-FIST Data13420040060080010001016.651016.681017.38

Algebraic Multi-Grid Benchmark

AMG is a parallel algebraic multigrid solver for linear systems arising from problems on unstructured grids. The driver provided with AMG builds linear systems for various 3-dimensional problems. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid Benchmark 1.2123440M80M120M160M200MSE +/- 2242954.25, N = 3SE +/- 42606.61, N = 3SE +/- 726131.55, N = 3SE +/- 815180.31, N = 31939411331969428001960637331961180001. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -pthread -lmpi
OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid Benchmark 1.2123430M60M90M120M150MMin: 189456200 / Avg: 193941133.33 / Max: 196264600Min: 196859500 / Avg: 196942800 / Max: 197000000Min: 194632300 / Avg: 196063733.33 / Max: 196991700Min: 194489400 / Avg: 196118000 / Max: 1969979001. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -pthread -lmpi

OpenFOAM

OpenFOAM is the leading free, open source software for computational fluid dynamics (CFD). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 8Input: Motorbike 30M123460120180240300SE +/- 0.09, N = 3SE +/- 0.39, N = 3SE +/- 0.24, N = 3SE +/- 0.10, N = 3255.66253.35254.28254.911. (CXX) g++ options: -std=c++11 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -ldynamicMesh -lgenericPatchFields -lOpenFOAM -ldl -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 8Input: Motorbike 30M123450100150200250Min: 255.52 / Avg: 255.66 / Max: 255.83Min: 252.61 / Avg: 253.35 / Max: 253.92Min: 253.83 / Avg: 254.28 / Max: 254.66Min: 254.71 / Avg: 254.91 / Max: 255.031. (CXX) g++ options: -std=c++11 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -ldynamicMesh -lgenericPatchFields -lOpenFOAM -ldl -lm

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 Protein1234246810SE +/- 0.070, N = 15SE +/- 0.070, N = 6SE +/- 0.067, N = 15SE +/- 0.027, N = 35.8855.7465.9126.2401. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin Protein1234246810Min: 5.5 / Avg: 5.88 / Max: 6.4Min: 5.65 / Avg: 5.75 / Max: 6.09Min: 5.49 / Avg: 5.91 / Max: 6.36Min: 6.21 / Avg: 6.24 / Max: 6.291. (CXX) g++ options: -O3 -pthread -lm

dav1d

Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Chimera 1080p1234110220330440550SE +/- 0.88, N = 3SE +/- 0.85, N = 3SE +/- 0.43, N = 3SE +/- 1.93, N = 3520.95520.47518.08518.25MIN: 401.63 / MAX: 725.11MIN: 401.93 / MAX: 728.08MIN: 401 / MAX: 723.57MIN: 401.48 / MAX: 737.171. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Chimera 1080p123490180270360450Min: 519.74 / Avg: 520.95 / Max: 522.67Min: 519.14 / Avg: 520.47 / Max: 522.05Min: 517.31 / Avg: 518.08 / Max: 518.79Min: 514.49 / Avg: 518.25 / Max: 520.881. (CC) gcc options: -pthread

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 4K12344080120160200SE +/- 0.09, N = 3SE +/- 0.25, N = 3SE +/- 0.23, N = 3SE +/- 0.22, N = 3168.63168.26168.56168.26MIN: 154.53 / MAX: 183.12MIN: 154.78 / MAX: 183.77MIN: 156.86 / MAX: 183.71MIN: 153.93 / MAX: 183.041. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 4K1234306090120150Min: 168.45 / Avg: 168.63 / Max: 168.75Min: 167.77 / Avg: 168.26 / Max: 168.53Min: 168.15 / Avg: 168.56 / Max: 168.95Min: 167.82 / Avg: 168.26 / Max: 168.541. (CC) gcc options: -pthread

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 1080p1234100200300400500SE +/- 0.47, N = 3SE +/- 0.73, N = 3SE +/- 0.49, N = 3SE +/- 0.51, N = 3463.78462.65465.82465.67MIN: 391.68 / MAX: 502.18MIN: 397.32 / MAX: 500.37MIN: 389.76 / MAX: 504.52MIN: 383.2 / MAX: 505.251. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 1080p123480160240320400Min: 463.1 / Avg: 463.78 / Max: 464.68Min: 461.56 / Avg: 462.65 / Max: 464.05Min: 464.95 / Avg: 465.82 / Max: 466.66Min: 465.15 / Avg: 465.67 / Max: 466.691. (CC) gcc options: -pthread

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Chimera 1080p 10-bit123420406080100SE +/- 0.11, N = 3SE +/- 0.09, N = 3SE +/- 0.12, N = 3SE +/- 0.07, N = 3103.98103.51103.47103.94MIN: 68.08 / MAX: 245.33MIN: 67.31 / MAX: 244.82MIN: 67.98 / MAX: 245.62MIN: 68.22 / MAX: 245.751. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Chimera 1080p 10-bit123420406080100Min: 103.79 / Avg: 103.98 / Max: 104.18Min: 103.4 / Avg: 103.51 / Max: 103.69Min: 103.25 / Avg: 103.47 / Max: 103.67Min: 103.87 / Avg: 103.94 / Max: 104.071. (CC) gcc options: -pthread

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: 112340.0970.1940.2910.3880.485SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 30.4310.4310.4210.431
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 1123412345Min: 0.43 / Avg: 0.43 / Max: 0.43Min: 0.43 / Avg: 0.43 / Max: 0.43Min: 0.42 / Avg: 0.42 / Max: 0.42Min: 0.43 / Avg: 0.43 / Max: 0.43

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 512340.2810.5620.8431.1241.405SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 31.2431.2491.2221.246
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 51234246810Min: 1.24 / Avg: 1.24 / Max: 1.24Min: 1.25 / Avg: 1.25 / Max: 1.25Min: 1.22 / Avg: 1.22 / Max: 1.23Min: 1.24 / Avg: 1.25 / Max: 1.25

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 612340.37280.74561.11841.49121.864SE +/- 0.002, N = 3SE +/- 0.003, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 31.6511.6471.6361.657
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 61234246810Min: 1.65 / Avg: 1.65 / Max: 1.65Min: 1.64 / Avg: 1.65 / Max: 1.65Min: 1.63 / Avg: 1.64 / Max: 1.64Min: 1.65 / Avg: 1.66 / Max: 1.66

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 1012340.79921.59842.39763.19683.996SE +/- 0.010, N = 3SE +/- 0.007, N = 3SE +/- 0.006, N = 3SE +/- 0.009, N = 33.5183.5523.5183.526
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 101234246810Min: 3.5 / Avg: 3.52 / Max: 3.53Min: 3.54 / Avg: 3.55 / Max: 3.56Min: 3.51 / Avg: 3.52 / Max: 3.53Min: 3.51 / Avg: 3.53 / Max: 3.54

Timed Godot Game Engine Compilation

This test times how long it takes to compile the Godot Game Engine. Godot is a popular, open-source, cross-platform 2D/3D game engine and is built using the SCons build system and targeting the X11 platform. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3Time To Compile1234306090120150SE +/- 0.35, N = 3SE +/- 0.49, N = 3SE +/- 0.18, N = 3SE +/- 0.16, N = 3137.53137.98138.12138.11
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3Time To Compile1234306090120150Min: 137.05 / Avg: 137.53 / Max: 138.22Min: 137.36 / Avg: 137.98 / Max: 138.94Min: 137.76 / Avg: 138.11 / Max: 138.38Min: 137.9 / Avg: 138.11 / Max: 138.43

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 +/- 0.075, N = 3SE +/- 0.051, N = 3SE +/- 0.045, N = 36.6086.7786.676MIN: 6.22 / MAX: 9.65MIN: 6.45 / MAX: 8.19MIN: 6.53 / MAX: 8.391. (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: 6.46 / Avg: 6.61 / Max: 6.69Min: 6.68 / Avg: 6.78 / Max: 6.85Min: 6.62 / Avg: 6.68 / Max: 6.771. (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-v2-50123714212835SE +/- 0.55, N = 3SE +/- 0.35, N = 3SE +/- 0.21, N = 327.3927.9628.02MIN: 25.66 / MAX: 39.63MIN: 26.06 / MAX: 39.4MIN: 26.02 / MAX: 40.051. (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: resnet-v2-50123612182430Min: 26.63 / Avg: 27.39 / Max: 28.45Min: 27.41 / Avg: 27.96 / Max: 28.6Min: 27.64 / Avg: 28.02 / Max: 28.351. (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_2241230.87531.75062.62593.50124.3765SE +/- 0.059, N = 3SE +/- 0.040, N = 3SE +/- 0.030, N = 33.8543.8903.828MIN: 3.68 / MAX: 6.08MIN: 3.76 / MAX: 5.96MIN: 3.72 / MAX: 15.951. (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: MobileNetV2_224123246810Min: 3.75 / Avg: 3.85 / Max: 3.95Min: 3.83 / Avg: 3.89 / Max: 3.96Min: 3.77 / Avg: 3.83 / Max: 3.871. (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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: mobilenet-v1-1.01230.75171.50342.25513.00683.7585SE +/- 0.061, N = 3SE +/- 0.031, N = 3SE +/- 0.012, N = 33.3353.3413.314MIN: 3.16 / MAX: 5.62MIN: 3.22 / MAX: 4.92MIN: 3.24 / MAX: 3.981. (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: mobilenet-v1-1.0123246810Min: 3.22 / Avg: 3.34 / Max: 3.43Min: 3.28 / Avg: 3.34 / Max: 3.39Min: 3.3 / Avg: 3.31 / Max: 3.341. (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-v3123816243240SE +/- 0.64, N = 3SE +/- 0.29, N = 3SE +/- 0.17, N = 333.0334.2433.91MIN: 30.9 / MAX: 42.73MIN: 32.51 / MAX: 45.69MIN: 32.3 / MAX: 42.961. (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-v3123714212835Min: 31.85 / Avg: 33.03 / Max: 34.05Min: 33.8 / Avg: 34.24 / Max: 34.79Min: 33.59 / Avg: 33.91 / Max: 34.151. (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

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 v212360120180240300SE +/- 1.32, N = 3SE +/- 1.13, N = 3SE +/- 0.16, N = 3268.66266.94264.85MIN: 262.25 / MAX: 288.84MIN: 261.44 / MAX: 280.39MIN: 261.5 / MAX: 280.861. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v212350100150200250Min: 266.65 / Avg: 268.66 / Max: 271.15Min: 264.73 / Avg: 266.94 / Max: 268.39Min: 264.67 / Avg: 264.85 / Max: 265.181. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.112350100150200250SE +/- 0.48, N = 3SE +/- 0.03, N = 3SE +/- 0.76, N = 3250.23249.05247.81MIN: 248.5 / MAX: 261.37MIN: 246.73 / MAX: 250.35MIN: 246.01 / MAX: 249.51. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.112350100150200250Min: 249.36 / Avg: 250.23 / Max: 251.01Min: 249.01 / Avg: 249.05 / Max: 249.1Min: 246.34 / Avg: 247.81 / Max: 248.911. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

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 1.2.412312M24M36M48M60MSE +/- 188427.22, N = 3SE +/- 304390.91, N = 3SE +/- 370807.54, N = 35538229755004223539028101. (CXX) g++ options: -O3 -fopenmp
OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.412310M20M30M40M50MMin: 55030760 / Avg: 55382296.67 / Max: 55675670Min: 54397080 / Avg: 55004223.33 / Max: 55346450Min: 53318420 / Avg: 53902810 / Max: 545904301. (CXX) g++ options: -O3 -fopenmp


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