EPYC 7551 compute

AMD EPYC 7551 32-Core testing with a GIGABYTE MZ31-AR0-00 v01010101 (F10 BIOS) and ASPEED on Debian 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 2009202-FI-EPYC7551C70
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EPYC 7551
September 20 2020
  12 Hours, 54 Minutes
AMD EPYC 7551
September 20 2020
  7 Hours, 36 Minutes
Confirmation
September 20 2020
  9 Hours, 34 Minutes
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EPYC 7551 computeOpenBenchmarking.orgPhoronix Test SuiteAMD EPYC 7551 32-Core @ 2.00GHz (32 Cores / 64 Threads)GIGABYTE MZ31-AR0-00 v01010101 (F10 BIOS)AMD 17h32GBSamsung SSD 960 EVO 500GBASPEEDRealtek RTL8111/8168/8411 + 2 x Broadcom NetXtreme II BCM57810 10Debian 104.19.0-10-amd64 (x86_64)GCC 8.3.0ext41024x768ProcessorMotherboardChipsetMemoryDiskGraphicsNetworkOSKernelCompilerFile-SystemScreen ResolutionEPYC 7551 Compute BenchmarksSystem Logs- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --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++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --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 --with-tune=generic --without-cuda-driver -v - Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8001227- Python 2.7.16 + Python 3.7.3- 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: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected

EPYC 7551AMD EPYC 7551ConfirmationResult OverviewPhoronix Test Suite100%101%103%104%KripkeMobile Neural NetworkNCNNMonte Carlo Simulations of Ionised NebulaeIncompact3DTensorFlow LiteGPAW

EPYC 7551 computeincompact3d: Cylindermocassin: Dust 2D tau100.0tensorflow-lite: SqueezeNettensorflow-lite: Inception V4tensorflow-lite: NASNet Mobiletensorflow-lite: Mobilenet Floattensorflow-lite: Mobilenet Quanttensorflow-lite: Inception ResNet V2gpaw: 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: EPYC 7551AMD EPYC 7551Confirmation253.589289320101353133033013212659969.964586.91184523245.16414.09162.9029.03011.67957.20040.5419.9220.4119.898.10112.67175.2947.7048.69153.2853.1619115811248.19287131999825.2132956312489860104.664092.01178497244.15714.76564.0319.57211.76259.36240.0323.7320.8119.859.86113.01165.9547.9344.56153.4955.2718480573249.287704328100942133381312957860733.364293.91188377245.51914.43363.3629.24511.65056.56641.7920.4720.9219.918.52114.36168.1548.4842.87149.5552.9618055957OpenBenchmarking.org

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: CylinderEPYC 7551AMD EPYC 7551Confirmation60120180240300SE +/- 1.88, N = 3SE +/- 0.84, N = 3SE +/- 1.33, N = 3253.59248.19249.291. (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: CylinderEPYC 7551AMD EPYC 7551Confirmation50100150200250Min: 250.11 / Avg: 253.59 / Max: 256.58Min: 246.74 / Avg: 248.19 / Max: 249.64Min: 247.15 / Avg: 249.29 / Max: 251.721. (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 tau100.0EPYC 7551AMD EPYC 7551Confirmation70140210280350SE +/- 0.33, N = 3SE +/- 0.67, N = 3SE +/- 7.80, N = 93203193281. (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 tau100.0EPYC 7551AMD EPYC 7551Confirmation60120180240300Min: 319 / Avg: 319.67 / Max: 320Min: 318 / Avg: 318.67 / Max: 320Min: 316 / Avg: 328.33 / Max: 3811. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetEPYC 7551AMD EPYC 7551Confirmation20K40K60K80K100KSE +/- 619.28, N = 3SE +/- 198.25, N = 3SE +/- 445.09, N = 3101353.099825.2100942.0
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetEPYC 7551AMD EPYC 7551Confirmation20K40K60K80K100KMin: 100156 / Avg: 101353 / Max: 102227Min: 99429.6 / Avg: 99825.2 / Max: 100046Min: 100213 / Avg: 100942.33 / Max: 101749

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4EPYC 7551AMD EPYC 7551Confirmation300K600K900K1200K1500KSE +/- 2250.76, N = 3SE +/- 5264.05, N = 3SE +/- 2230.34, N = 3133033013295631333813
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4EPYC 7551AMD EPYC 7551Confirmation200K400K600K800K1000KMin: 1326020 / Avg: 1330330 / Max: 1333610Min: 1319650 / Avg: 1329563.33 / Max: 1337590Min: 1329730 / Avg: 1333813.33 / Max: 1337410

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileEPYC 7551AMD EPYC 7551Confirmation30K60K90K120K150KSE +/- 1863.39, N = 3SE +/- 2041.97, N = 4SE +/- 1173.41, N = 15132126124898129578
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileEPYC 7551AMD EPYC 7551Confirmation20K40K60K80K100KMin: 128412 / Avg: 132125.67 / Max: 134253Min: 121224 / Avg: 124898.25 / Max: 130730Min: 122077 / Avg: 129577.87 / Max: 135838

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatEPYC 7551AMD EPYC 7551Confirmation13K26K39K52K65KSE +/- 255.79, N = 3SE +/- 249.07, N = 3SE +/- 238.41, N = 359969.960104.660733.3
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatEPYC 7551AMD EPYC 7551Confirmation11K22K33K44K55KMin: 59458.6 / Avg: 59969.93 / Max: 60239.3Min: 59652 / Avg: 60104.57 / Max: 60511.1Min: 60315.6 / Avg: 60733.27 / Max: 61141.3

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantEPYC 7551AMD EPYC 7551Confirmation14K28K42K56K70KSE +/- 386.98, N = 3SE +/- 225.45, N = 3SE +/- 21.58, N = 364586.964092.064293.9
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantEPYC 7551AMD EPYC 7551Confirmation11K22K33K44K55KMin: 64120.4 / Avg: 64586.93 / Max: 65355Min: 63797.6 / Avg: 64092.03 / Max: 64535Min: 64260.5 / Avg: 64293.93 / Max: 64334.3

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2EPYC 7551AMD EPYC 7551Confirmation300K600K900K1200K1500KSE +/- 4325.28, N = 3SE +/- 6348.55, N = 3SE +/- 4010.76, N = 3118452311784971188377
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2EPYC 7551AMD EPYC 7551Confirmation200K400K600K800K1000KMin: 1177220 / Avg: 1184523.33 / Max: 1192190Min: 1168050 / Avg: 1178496.67 / Max: 1189970Min: 1180700 / Avg: 1188376.67 / Max: 1194230

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 NanotubeEPYC 7551AMD EPYC 7551Confirmation50100150200250SE +/- 1.51, N = 3SE +/- 1.24, N = 3SE +/- 0.48, N = 3245.16244.16245.521. (CC) gcc options: -pthread -shared -lxc -lblas -lmpi
OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 20.1Input: Carbon NanotubeEPYC 7551AMD EPYC 7551Confirmation4080120160200Min: 242.86 / Avg: 245.16 / Max: 248.01Min: 242.13 / Avg: 244.16 / Max: 246.4Min: 244.58 / Avg: 245.52 / Max: 246.121. (CC) gcc options: -pthread -shared -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: SqueezeNetV1.0EPYC 7551AMD EPYC 7551Confirmation48121620SE +/- 0.19, N = 3SE +/- 0.18, N = 12SE +/- 0.15, N = 314.0914.7714.43MIN: 13.53 / MAX: 24.05MIN: 13.24 / MAX: 23.93MIN: 13.88 / MAX: 17.731. (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: SqueezeNetV1.0EPYC 7551AMD EPYC 7551Confirmation48121620Min: 13.71 / Avg: 14.09 / Max: 14.3Min: 13.98 / Avg: 14.77 / Max: 15.85Min: 14.17 / Avg: 14.43 / Max: 14.71. (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-v2-50EPYC 7551AMD EPYC 7551Confirmation1428425670SE +/- 0.24, N = 3SE +/- 0.34, N = 12SE +/- 0.18, N = 362.9064.0363.36MIN: 62.14 / MAX: 465.48MIN: 61.35 / MAX: 480.78MIN: 61.99 / MAX: 191.51. (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-v2-50EPYC 7551AMD EPYC 7551Confirmation1326395265Min: 62.55 / Avg: 62.9 / Max: 63.35Min: 62.64 / Avg: 64.03 / Max: 66.88Min: 63.02 / Avg: 63.36 / Max: 63.611. (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_224EPYC 7551AMD EPYC 7551Confirmation3691215SE +/- 0.069, N = 3SE +/- 0.171, N = 12SE +/- 0.022, N = 39.0309.5729.245MIN: 8.46 / MAX: 33.31MIN: 8.22 / MAX: 36.68MIN: 8.83 / MAX: 25.881. (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_224EPYC 7551AMD EPYC 7551Confirmation3691215Min: 8.95 / Avg: 9.03 / Max: 9.17Min: 8.5 / Avg: 9.57 / Max: 10.49Min: 9.22 / Avg: 9.25 / Max: 9.291. (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-v1-1.0EPYC 7551AMD EPYC 7551Confirmation3691215SE +/- 0.15, N = 3SE +/- 0.08, N = 12SE +/- 0.02, N = 311.6811.7611.65MIN: 11.48 / MAX: 19.99MIN: 11.35 / MAX: 42.97MIN: 11.37 / MAX: 51.781. (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: mobilenet-v1-1.0EPYC 7551AMD EPYC 7551Confirmation3691215Min: 11.53 / Avg: 11.68 / Max: 11.97Min: 11.49 / Avg: 11.76 / Max: 12.36Min: 11.61 / Avg: 11.65 / Max: 11.691. (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-v3EPYC 7551AMD EPYC 7551Confirmation1326395265SE +/- 0.94, N = 3SE +/- 1.42, N = 12SE +/- 0.66, N = 357.2059.3656.57MIN: 55.06 / MAX: 155.24MIN: 51.36 / MAX: 226.02MIN: 54.98 / MAX: 64.291. (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-v3EPYC 7551AMD EPYC 7551Confirmation1224364860Min: 55.33 / Avg: 57.2 / Max: 58.34Min: 53.23 / Avg: 59.36 / Max: 66.78Min: 55.37 / Avg: 56.57 / Max: 57.641. (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_int8EPYC 7551AMD EPYC 7551Confirmation1020304050SE +/- 0.58, N = 9SE +/- 0.46, N = 3SE +/- 1.37, N = 640.5440.0341.79MIN: 36.44 / MAX: 348.39MIN: 37.74 / MAX: 273.08MIN: 37.08 / MAX: 350.61. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenet_int8EPYC 7551AMD EPYC 7551Confirmation918273645Min: 38.26 / Avg: 40.54 / Max: 43.45Min: 39.2 / Avg: 40.03 / Max: 40.78Min: 39.17 / Avg: 41.79 / Max: 47.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenet_v3EPYC 7551AMD EPYC 7551Confirmation612182430SE +/- 0.45, N = 9SE +/- 2.51, N = 3SE +/- 0.36, N = 619.9223.7320.47MIN: 18.49 / MAX: 300.21MIN: 20.01 / MAX: 521.45MIN: 19.08 / MAX: 290.21. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenet_v3EPYC 7551AMD EPYC 7551Confirmation612182430Min: 18.6 / Avg: 19.92 / Max: 22.78Min: 20.16 / Avg: 23.73 / Max: 28.58Min: 19.2 / Avg: 20.47 / Max: 21.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetEPYC 7551AMD EPYC 7551Confirmation510152025SE +/- 0.27, N = 9SE +/- 0.08, N = 3SE +/- 0.26, N = 620.4120.8120.92MIN: 19.02 / MAX: 63.62MIN: 20.45 / MAX: 35.39MIN: 19.96 / MAX: 40.351. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetEPYC 7551AMD EPYC 7551Confirmation510152025Min: 19.09 / Avg: 20.41 / Max: 21.63Min: 20.71 / Avg: 20.81 / Max: 20.98Min: 20.1 / Avg: 20.92 / Max: 21.761. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetEPYC 7551AMD EPYC 7551Confirmation510152025SE +/- 0.77, N = 9SE +/- 0.14, N = 3SE +/- 0.17, N = 619.8919.8519.91MIN: 17.33 / MAX: 335.58MIN: 19.08 / MAX: 27.65MIN: 19.13 / MAX: 85.721. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetEPYC 7551AMD EPYC 7551Confirmation510152025Min: 17.73 / Avg: 19.89 / Max: 23.93Min: 19.64 / Avg: 19.85 / Max: 20.12Min: 19.39 / Avg: 19.91 / Max: 20.431. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceEPYC 7551AMD EPYC 7551Confirmation3691215SE +/- 0.08, N = 9SE +/- 1.55, N = 3SE +/- 0.41, N = 68.109.868.52MIN: 7.6 / MAX: 11.58MIN: 7.95 / MAX: 256.36MIN: 7.85 / MAX: 259.31. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceEPYC 7551AMD EPYC 7551Confirmation3691215Min: 7.68 / Avg: 8.1 / Max: 8.39Min: 8.07 / Avg: 9.86 / Max: 12.95Min: 7.91 / Avg: 8.52 / Max: 10.541. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet_int8EPYC 7551AMD EPYC 7551Confirmation306090120150SE +/- 1.32, N = 9SE +/- 3.77, N = 3SE +/- 0.70, N = 6112.67113.01114.36MIN: 96.44 / MAX: 838.31MIN: 99.14 / MAX: 828.25MIN: 99.74 / MAX: 780.721. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet_int8EPYC 7551AMD EPYC 7551Confirmation20406080100Min: 105.57 / Avg: 112.67 / Max: 118.4Min: 107.84 / Avg: 113.01 / Max: 120.35Min: 113.14 / Avg: 114.36 / Max: 117.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16_int8EPYC 7551AMD EPYC 7551Confirmation4080120160200SE +/- 3.19, N = 9SE +/- 3.42, N = 3SE +/- 2.50, N = 6175.29165.95168.15MIN: 122.89 / MAX: 353.8MIN: 128.97 / MAX: 336.3MIN: 128.47 / MAX: 337.511. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16_int8EPYC 7551AMD EPYC 7551Confirmation306090120150Min: 159 / Avg: 175.29 / Max: 188.26Min: 161.12 / Avg: 165.95 / Max: 172.56Min: 161.04 / Avg: 168.15 / Max: 176.431. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18_int8EPYC 7551AMD EPYC 7551Confirmation1122334455SE +/- 1.17, N = 9SE +/- 0.86, N = 3SE +/- 1.32, N = 647.7047.9348.48MIN: 39.7 / MAX: 326.29MIN: 41.63 / MAX: 281.32MIN: 38.7 / MAX: 322.851. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18_int8EPYC 7551AMD EPYC 7551Confirmation1020304050Min: 44.84 / Avg: 47.7 / Max: 56.32Min: 46.33 / Avg: 47.93 / Max: 49.26Min: 45.82 / Avg: 48.48 / Max: 53.951. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetEPYC 7551AMD EPYC 7551Confirmation1122334455SE +/- 4.32, N = 9SE +/- 5.33, N = 3SE +/- 2.45, N = 648.6944.5642.87MIN: 21.71 / MAX: 145.04MIN: 29.04 / MAX: 124.76MIN: 27.98 / MAX: 127.361. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetEPYC 7551AMD EPYC 7551Confirmation1020304050Min: 29.1 / Avg: 48.69 / Max: 69.02Min: 34.8 / Avg: 44.56 / Max: 53.17Min: 35.21 / Avg: 42.87 / Max: 49.721. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50_int8EPYC 7551AMD EPYC 7551Confirmation306090120150SE +/- 3.70, N = 9SE +/- 2.65, N = 3SE +/- 1.81, N = 6153.28153.49149.55MIN: 129.82 / MAX: 804.16MIN: 134.84 / MAX: 799.43MIN: 129.92 / MAX: 783.081. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50_int8EPYC 7551AMD EPYC 7551Confirmation306090120150Min: 139.84 / Avg: 153.28 / Max: 178.1Min: 149.68 / Avg: 153.49 / Max: 158.58Min: 143.6 / Avg: 149.55 / Max: 157.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetv2_yolov3EPYC 7551AMD EPYC 7551Confirmation1224364860SE +/- 2.22, N = 9SE +/- 6.99, N = 3SE +/- 2.64, N = 653.1655.2752.96MIN: 41.75 / MAX: 531.89MIN: 41.77 / MAX: 531.98MIN: 42.08 / MAX: 534.681. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetv2_yolov3EPYC 7551AMD EPYC 7551Confirmation1122334455Min: 45.18 / Avg: 53.16 / Max: 65.49Min: 46.43 / Avg: 55.27 / Max: 69.07Min: 48.09 / Avg: 52.96 / Max: 64.441. (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 1.2.4EPYC 7551AMD EPYC 7551Confirmation4M8M12M16M20MSE +/- 338778.82, N = 9SE +/- 79663.34, N = 3SE +/- 159106.99, N = 31911581118480573180559571. (CXX) g++ options: -O3 -fopenmp
OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.4EPYC 7551AMD EPYC 7551Confirmation3M6M9M12M15MMin: 17037160 / Avg: 19115811.11 / Max: 20525880Min: 18375070 / Avg: 18480573.33 / Max: 18636720Min: 17894600 / Avg: 18055956.67 / Max: 183741601. (CXX) g++ options: -O3 -fopenmp