AMD EPYC 7F72 2P Linux 5.11

2 x AMD EPYC 7F72 24-Core testing with a Supermicro H11DSi-NT v2.00 (2.1 BIOS) and ASPEED 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 2101221-HA-AMDEPYC7F59
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Linux 5.10
January 21 2021
  1 Day, 7 Hours, 29 Minutes
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Linux 5.10

Processor: 2 x AMD EPYC 7F72 24-Core @ 3.20GHz (48 Cores / 96 Threads), Motherboard: Supermicro H11DSi-NT v2.00 (2.1 BIOS), Chipset: AMD Starship/Matisse, Memory: 16 x 8192 MB DDR4-3200MT/s HMA81GR7CJR8N-XN, Disk: 1000GB Western Digital WD_BLACK SN850 1TB, Graphics: ASPEED, Monitor: VE228, Network: 2 x Intel 10G X550T

OS: Ubuntu 20.10, Kernel: 5.10.9-051009-generic (x86_64), Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.9, Display Driver: modesetting 1.20.9, Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --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
Disk Notes: NONE / errors=remount-ro,relatime,rw / Block Size: 4096
Processor Notes: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0x8301034
Java Notes: OpenJDK Runtime Environment (build 11.0.9.1+1-Ubuntu-0ubuntu1.20.10)
Python Notes: Python 3.8.6
Security Notes: 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: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

AMD EPYC 7F72 2P Linux 5.11OpenBenchmarking.orgPhoronix Test Suite2 x AMD EPYC 7F72 24-Core @ 3.20GHz (48 Cores / 96 Threads)Supermicro H11DSi-NT v2.00 (2.1 BIOS)AMD Starship/Matisse16 x 8192 MB DDR4-3200MT/s HMA81GR7CJR8N-XN1000GB Western Digital WD_BLACK SN850 1TBASPEEDVE2282 x Intel 10G X550TUbuntu 20.105.10.9-051009-generic (x86_64)GNOME Shell 3.38.1X Server 1.20.9modesetting 1.20.9GCC 10.2.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverCompilerFile-SystemScreen ResolutionAMD EPYC 7F72 2P Linux 5.11 BenchmarksSystem Logs- Transparent Huge Pages: madvise- --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 - NONE / errors=remount-ro,relatime,rw / Block Size: 4096- Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0x8301034 - OpenJDK Runtime Environment (build 11.0.9.1+1-Ubuntu-0ubuntu1.20.10)- Python 3.8.6- 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: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

AMD EPYC 7F72 2P Linux 5.11qe: AUSURF112fftw: Float + SSE - 2D FFT Size 4096ncnn: CPU - regnety_400mncnn: CPU - squeezenet_ssdncnn: CPU - yolov4-tinyncnn: CPU - resnet50ncnn: CPU - alexnetncnn: CPU - resnet18ncnn: CPU - vgg16ncnn: CPU - googlenetncnn: CPU - blazefacencnn: CPU - efficientnet-b0ncnn: CPU - mnasnetncnn: CPU - shufflenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU - mobilenetplaidml: No - Inference - VGG19 - CPUmnn: inception-v3mnn: mobilenet-v1-1.0mnn: MobileNetV2_224mnn: resnet-v2-50mnn: SqueezeNetV1.0onnx: fcn-resnet101-11 - OpenMP CPUonnx: yolov4 - OpenMP CPUonnx: shufflenet-v2-10 - OpenMP CPUonnx: super-resolution-10 - OpenMP CPUplaidml: No - Inference - ResNet 50 - CPUyafaray: Total Time For Sample Scenecassandra: Writesai-benchmark: Device AI Scoreai-benchmark: Device Training Scoreai-benchmark: Device Inference Scoreonednn: Recurrent Neural Network Training - f32 - CPUblogbench: Readonednn: Recurrent Neural Network Inference - f32 - CPUapache-siege: 500onnx: bertsquad-10 - OpenMP CPUlczero: Eigenlczero: BLASrelion: Basic - CPUlammps: 20k Atomsbrl-cad: VGR Performance Metriccompress-lz4: 9 - Decompression Speedcompress-lz4: 9 - Compression Speedtensorflow-lite: NASNet Mobiletensorflow-lite: Mobilenet Floatrodinia: OpenMP Leukocytenumpy: kripke: hint: FLOATapache-siege: 250clomp: Static OMP Speedupgcrypt: svt-av1: Enc Mode 0 - 1080pbuild-llvm: Time To Compilecompress-zstd: 19openfoam: Motorbike 60Mcaffe: GoogleNet - CPU - 100pgbench: 100 - 100 - Read Write - Average Latencypgbench: 100 - 100 - Read Writepgbench: 100 - 250 - Read Write - Average Latencypgbench: 100 - 250 - Read Writeblender: Barbershop - CPU-Onlycpuminer-opt: Skeincoincpuminer-opt: x25xcpuminer-opt: Deepcoincpuminer-opt: LBC, LBRY Creditshpcg: cpuminer-opt: Magicpuminer-opt: Myriad-Groestlasmfish: 1024 Hash Memory, 26 Depthpgbench: 1000 - 250 - Read Write - Average Latencypgbench: 1000 - 250 - Read Writecpuminer-opt: Garlicoincpuminer-opt: Ringcoininfluxdb: 4 - 10000 - 2,5000,1 - 10000tungsten: Water Causticcpuminer-opt: Triple SHA-256, Onecoincpuminer-opt: Blake-2 Sbyte: Dhrystone 2build-linux-kernel: Time To Compilecaffe: AlexNet - CPU - 100build-gdb: Time To Compiledav1d: Chimera 1080p 10-bitrodinia: OpenMP HotSpot3Dplaidml: No - Inference - VGG16 - CPUinfluxdb: 64 - 10000 - 2,5000,1 - 10000redis: LPUSHcloverleaf: Lagrangian-Eulerian Hydrodynamicsior: 8MB - Default Test Directorymrbayes: Primate Phylogeny Analysistensorflow-lite: Mobilenet Quantredis: GETdacapobench: Tradesoapospray: San Miguel - Path Tracergnupg: 2.7GB Sample File Encryptiondacapobench: H2simdjson: Kostyakeydb: sqlite-speedtest: Timed Time - Size 1,000v-ray: CPUbuild2: Time To Compilefinancebench: Bonds OpenMPcompress-lz4: 3 - Decompression Speedcompress-lz4: 3 - Compression Speedluxcorerender: DLSCtensorflow-lite: Inception V4build-godot: Time To Compiletensorflow-lite: Inception ResNet V2luxcorerender: Rainbow Colors and Prismtensorflow-lite: SqueezeNetgpaw: Carbon Nanotubejohn-the-ripper: MD5rav1e: 5simdjson: LargeRandrav1e: 1himeno: Poisson Pressure Solverredis: LPOPsimdjson: PartialTweetssimdjson: DistinctUserIDrodinia: OpenMP LavaMDfinancebench: Repo OpenMPastcenc: Exhaustiverav1e: 6gromacs: Water Benchmarkospray: XFrog Forest - Path Tracerredis: SETnamd: ATPase Simulation - 327,506 Atomsnpb: EP.Dquantlib: stockfish: Total Timeswet: Averageospray: San Miguel - SciVisrav1e: 10x265: Bosphorus 4Ketcpak: ETC2cpuminer-opt: Quad SHA-256, Pyritecompress-lz4: 1 - Decompression Speedcompress-lz4: 1 - Compression Speedcompress-zstd: 3john-the-ripper: Blowfishaskap: tConvolve MPI - Degriddingaskap: tConvolve MPI - Griddingqmcpack: simple-H2Osynthmark: VoiceMark_100openfoam: Motorbike 30Mneat: cython-bench: N-Queensttsiod-renderer: Phong Rendering With Soft-Shadow Mappingospray: XFrog Forest - SciVisior: 2MB - Default Test Directoryospray: NASA Streamlines - Path Traceronednn: Deconvolution Batch shapes_1d - f32 - CPUamg: tnn: CPU - MobileNet v2svt-av1: Enc Mode 4 - 1080ponednn: IP Shapes 1D - f32 - CPUetcpak: ETC1 + Ditheringtachyon: Total Timetnn: CPU - SqueezeNet v1.1npb: LU.Cdolfyn: Computational Fluid Dynamicsetcpak: ETC1povray: Trace Timeastcenc: Thoroughrodinia: OpenMP Streamclusterlulesh: dacapobench: Tradebeansredis: SADDx265: Bosphorus 1080ponednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUrodinia: OpenMP CFD Solversvt-vp9: Visual Quality Optimized - Bosphorus 1080ponednn: IP Shapes 3D - f32 - CPUffte: N=256, 3D Complex FFT Routineospray: Magnetic Reconnection - SciVisonednn: Deconvolution Batch shapes_3d - f32 - CPUsvt-av1: Enc Mode 8 - 1080ponednn: Convolution Batch Shapes Auto - f32 - CPUoidn: Memorialtungsten: Hairospray: NASA Streamlines - SciVisdacapobench: Jythontungsten: Volumetric Causticprimesieve: 1e12 Prime Number Generationdav1d: Summer Nature 4Ktungsten: Non-Exponentialsvt-vp9: VMAF Optimized - Bosphorus 1080psvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080pnpb: EP.Clammps: Rhodopsin Proteinospray: Magnetic Reconnection - Path Tracertscp: AI Chess Performanceblogbench: WriteLinux 5.101197.6017440149.5740.7942.0542.379.3724.3154.7843.1812.8838.4732.4023.4328.1130.2447.9321.6340.0035.26918.19741.79816.85854182519041724.5485.7931925552621102815931158.35981673801.02039871.4224243794112351.11925.02061593010505.747.7915724543015.354.965322.7465180265322922449.1661738364.0941.6233.0990.094209.57395.7130.091891806.0881685312.91919816158.163633461503.104590413560231.12832354.134991.1111620193718.175137849912.851505.26818275.321.1876391097171153837386556.626.107109470102.498130.6296.75825.361223604.81206370.5917.44529.4381.84943716.31716829.2351504.3377.11356540.57280163.9570.3105413767.93757310.34505210527.248.897.7583520861.4407554508.8361294.259.52047806671.0180.370.3514191.6510341284616.810.630.6552.39241287.10286541.121.3465.2575.951429370.710.444183871.582156.49535326368353440852.632.83719.26155.78730137311264.49668.508195.37262611918.27498.7129.479715.50418.3228.26526.892726.86511.19517.1316.392.328991430050667291.4287.6631.56970245.50418.1183274.283152840.6018.707267.32211.4115.6910.59818424.98460321563597.6648.480.5190158.109315.240.888428182254.4424653132.622.4011268.8890.87244128.516.6963471.4349515.312024.612310.213.88134357.42365.963825.2723.573250111512531310OpenBenchmarking.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: AUSURF112Linux 5.1030060090012001500SE +/- 17.89, N = 91197.601. (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.orgWatts, Fewer Is BetterQuantum ESPRESSO 6.7CPU Power Consumption MonitorLinux 5.1090180270360450Min: 120.73 / Avg: 385.68 / Max: 492.161. Linux 5.10: Approximate power consumption of 231752 Joules per run.

FFTW

FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 2D FFT Size 4096Linux 5.104K8K12K16K20KSE +/- 280.66, N = 6174401. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm
OpenBenchmarking.orgMflops Per Watt, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 2D FFT Size 4096Linux 5.10306090120150131.26
MinAvgMaxLinux 5.10119.5132.9142.9OpenBenchmarking.orgWatts, Fewer Is BetterFFTW 3.3.6CPU Power Consumption Monitor40801201602001. Linux 5.10: Approximate power consumption of 23472 Joules per run.

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: regnety_400mLinux 5.10306090120150SE +/- 2.74, N = 12149.57MIN: 130.7 / MAX: 1215.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
MinAvgMaxLinux 5.10120.4235.5292.1OpenBenchmarking.orgWatts, Fewer Is BetterNCNN 20201218CPU Power Consumption Monitor701402102803501. Linux 5.10: Approximate power consumption of 20626 Joules per run.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: squeezenet_ssdLinux 5.10918273645SE +/- 1.64, N = 1240.79MIN: 33.97 / MAX: 266.931. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: yolov4-tinyLinux 5.101020304050SE +/- 1.47, N = 1242.05MIN: 32.93 / MAX: 1565.61. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet50Linux 5.101020304050SE +/- 0.76, N = 1242.37MIN: 36.82 / MAX: 160.371. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: alexnetLinux 5.103691215SE +/- 0.25, N = 129.37MIN: 7.32 / MAX: 35.311. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet18Linux 5.10612182430SE +/- 2.52, N = 1224.31MIN: 16.51 / MAX: 295.011. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: vgg16Linux 5.101224364860SE +/- 2.23, N = 1254.78MIN: 43.14 / MAX: 775.531. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: googlenetLinux 5.101020304050SE +/- 3.51, N = 1243.18MIN: 28.68 / MAX: 173.161. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: blazefaceLinux 5.103691215SE +/- 0.58, N = 1212.88MIN: 8.63 / MAX: 73.621. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: efficientnet-b0Linux 5.10918273645SE +/- 1.70, N = 1238.47MIN: 22.09 / MAX: 166.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mnasnetLinux 5.10816243240SE +/- 1.84, N = 1232.40MIN: 17.22 / MAX: 990.41. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: shufflenet-v2Linux 5.10612182430SE +/- 1.31, N = 1223.43MIN: 15.76 / MAX: 137.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3 - Model: mobilenet-v3Linux 5.10714212835SE +/- 1.44, N = 1228.11MIN: 16.92 / MAX: 1093.71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2 - Model: mobilenet-v2Linux 5.10714212835SE +/- 1.54, N = 1230.24MIN: 16.47 / MAX: 174.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mobilenetLinux 5.101122334455SE +/- 4.34, N = 1247.93MIN: 31.02 / MAX: 142.651. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

PlaidML

This test profile uses PlaidML deep learning framework developed by Intel for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG19 - Device: CPULinux 5.10510152025SE +/- 0.23, N = 1521.63
OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG19 - Device: CPULinux 5.100.0180.0360.0540.0720.090.08
MinAvgMaxLinux 5.10120.4279.3360.1OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLCPU Power Consumption Monitor1002003004005001. Linux 5.10: Approximate power consumption of 15699 Joules per run.

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: inception-v3Linux 5.10918273645SE +/- 0.28, N = 1240.00MIN: 36.56 / MAX: 174.061. (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
MinAvgMaxLinux 5.10119.4342.3367.8OpenBenchmarking.orgWatts, Fewer Is BetterMobile Neural Network 1.1.1CPU Power Consumption Monitor1002003004005001. Linux 5.10: Approximate power consumption of 23619 Joules per run.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: mobilenet-v1-1.0Linux 5.101.18552.3713.55654.7425.9275SE +/- 0.344, N = 125.269MIN: 2.91 / MAX: 36.831. (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_224Linux 5.1048121620SE +/- 0.94, N = 1218.20MIN: 9.45 / MAX: 31.461. (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-v2-50Linux 5.101020304050SE +/- 0.94, N = 1241.80MIN: 30.31 / MAX: 322.71. (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 1.1.1Model: SqueezeNetV1.0Linux 5.1048121620SE +/- 1.08, N = 1216.86MIN: 10.32 / MAX: 26.911. (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

ONNX Runtime

ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Zoo. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: fcn-resnet101-11 - Device: OpenMP CPULinux 5.101224364860SE +/- 1.75, N = 12541. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt
OpenBenchmarking.orgInferences Per Minute Per Watt, More Is BetterONNX Runtime 1.6Model: fcn-resnet101-11 - Device: OpenMP CPULinux 5.100.04730.09460.14190.18920.23650.21
MinAvgMaxLinux 5.10121.2261.4304.0OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.6CPU Power Consumption Monitor801602403204001. Linux 5.10: Approximate power consumption of 16512 Joules per run.

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: yolov4 - Device: OpenMP CPULinux 5.104080120160200SE +/- 1.89, N = 121821. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt
OpenBenchmarking.orgInferences Per Minute Per Watt, More Is BetterONNX Runtime 1.6Model: yolov4 - Device: OpenMP CPULinux 5.100.15530.31060.46590.62120.77650.69
MinAvgMaxLinux 5.10119.9262.6278.5OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.6CPU Power Consumption Monitor701402102803501. Linux 5.10: Approximate power consumption of 16436 Joules per run.

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: shufflenet-v2-10 - Device: OpenMP CPULinux 5.1011002200330044005500SE +/- 190.29, N = 1251901. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt
OpenBenchmarking.orgInferences Per Minute Per Watt, More Is BetterONNX Runtime 1.6Model: shufflenet-v2-10 - Device: OpenMP CPULinux 5.1061218243023.57
MinAvgMaxLinux 5.10120.9220.2232.1OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.6CPU Power Consumption Monitor601201802403001. Linux 5.10: Approximate power consumption of 13673 Joules per run.

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: super-resolution-10 - Device: OpenMP CPULinux 5.109001800270036004500SE +/- 84.65, N = 1241721. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt
OpenBenchmarking.orgInferences Per Minute Per Watt, More Is BetterONNX Runtime 1.6Model: super-resolution-10 - Device: OpenMP CPULinux 5.104812162015.42
MinAvgMaxLinux 5.10121.0270.6301.3OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.6CPU Power Consumption Monitor801602403204001. Linux 5.10: Approximate power consumption of 16800 Joules per run.

PlaidML

This test profile uses PlaidML deep learning framework developed by Intel for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: CPULinux 5.101.02152.0433.06454.0865.1075SE +/- 0.02, N = 34.54
OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: CPULinux 5.100.00680.01360.02040.02720.0340.03
MinAvgMaxLinux 5.10119.6156.6188.3OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLCPU Power Consumption Monitor501001502002501. Linux 5.10: Approximate power consumption of 37587 Joules per run.

YafaRay

YafaRay is an open-source physically based montecarlo ray-tracing engine. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterYafaRay 3.4.1Total Time For Sample SceneLinux 5.1020406080100SE +/- 1.01, N = 1585.791. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lpthread
MinAvgMaxLinux 5.10120.8314.6378.5OpenBenchmarking.orgWatts, Fewer Is BetterYafaRay 3.4.1CPU Power Consumption Monitor1002003004005001. Linux 5.10: Approximate power consumption of 14116 Joules per run.

Apache Cassandra

This is a benchmark of the Apache Cassandra NoSQL database management system making use of cassandra-stress. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 3.11.4Test: WritesLinux 5.1040K80K120K160K200KSE +/- 2443.20, N = 15192555
OpenBenchmarking.orgOp/s Per Watt, More Is BetterApache Cassandra 3.11.4Test: WritesLinux 5.10160320480640800738.31
MinAvgMaxLinux 5.10121.3260.8337.5OpenBenchmarking.orgWatts, Fewer Is BetterApache Cassandra 3.11.4CPU Power Consumption Monitor801602403204001. Linux 5.10: Approximate power consumption of 11406 Joules per run.

AI Benchmark Alpha

AI Benchmark Alpha is a Python library for evaluating artificial intelligence (AI) performance on diverse hardware platforms and relies upon the TensorFlow machine learning library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device AI ScoreLinux 5.1060012001800240030002621
OpenBenchmarking.orgScore Per Watt, More Is BetterAI Benchmark Alpha 0.1.2Device AI ScoreLinux 5.10369121511.86
MinAvgMaxLinux 5.10119.7221.0369.8OpenBenchmarking.orgWatts, Fewer Is BetterAI Benchmark Alpha 0.1.2CPU Power Consumption Monitor100200300400500

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Training ScoreLinux 5.1020040060080010001028

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Inference ScoreLinux 5.10300600900120015001593

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPULinux 5.102004006008001000SE +/- 14.39, N = 151158.35MIN: 1073.971. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
MinAvgMaxLinux 5.10120.7340.9492.1OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 2.0CPU Power Consumption Monitor1302603905206501. Linux 5.10: Approximate power consumption of 13817 Joules per run.

BlogBench

BlogBench is designed to replicate the load of a real-world busy file server by stressing the file-system with multiple threads of random reads, writes, and rewrites. The behavior is mimicked of that of a blog by creating blogs with content and pictures, modifying blog posts, adding comments to these blogs, and then reading the content of the blogs. All of these blogs generated are created locally with fake content and pictures. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFinal Score, More Is BetterBlogBench 1.1Test: ReadLinux 5.10200K400K600K800K1000KSE +/- 4087.26, N = 39816731. (CC) gcc options: -O2 -pthread
OpenBenchmarking.orgFinal Score Per Watt, More Is BetterBlogBench 1.1Test: ReadLinux 5.1080016002400320040003808.17
MinAvgMaxLinux 5.10120.7257.8306.7OpenBenchmarking.orgWatts, Fewer Is BetterBlogBench 1.1CPU Power Consumption Monitor801602403204001. Linux 5.10: Approximate power consumption of 49924 Joules per run.

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPULinux 5.102004006008001000SE +/- 17.46, N = 15801.02MIN: 697.641. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
MinAvgMaxLinux 5.10121.2323.9489.1OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 2.0CPU Power Consumption Monitor1302603905206501. Linux 5.10: Approximate power consumption of 12913 Joules per run.

Apache Siege

This is a test of the Apache web server performance being facilitated by the Siege web server benchmark program. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTransactions Per Second, More Is BetterApache Siege 2.4.29Concurrent Users: 500Linux 5.109K18K27K36K45KSE +/- 958.98, N = 1539871.421. (CC) gcc options: -O2 -lpthread -ldl -lssl -lcrypto
OpenBenchmarking.orgTransactions Per Second Per Watt, More Is BetterApache Siege 2.4.29Concurrent Users: 500Linux 5.10306090120150131.56
MinAvgMaxLinux 5.10121.2303.1358.9OpenBenchmarking.orgWatts, Fewer Is BetterApache Siege 2.4.29CPU Power Consumption Monitor1002003004005001. Linux 5.10: Approximate power consumption of 12002 Joules per run.

ONNX Runtime

ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Zoo. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: bertsquad-10 - Device: OpenMP CPULinux 5.1050100150200250SE +/- 13.55, N = 92421. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt
OpenBenchmarking.orgInferences Per Minute Per Watt, More Is BetterONNX Runtime 1.6Model: bertsquad-10 - Device: OpenMP CPULinux 5.100.21830.43660.65490.87321.09150.97
MinAvgMaxLinux 5.10121.0249.5284.9OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.6CPU Power Consumption Monitor701402102803501. Linux 5.10: Approximate power consumption of 15606 Joules per run.

LeelaChessZero

LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: EigenLinux 5.109001800270036004500SE +/- 32.10, N = 343791. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterLeelaChessZero 0.26Backend: EigenLinux 5.10369121510.27
MinAvgMaxLinux 5.10121.3426.5492.2OpenBenchmarking.orgWatts, Fewer Is BetterLeelaChessZero 0.26CPU Power Consumption Monitor1302603905206501. Linux 5.10: Approximate power consumption of 76778 Joules per run.

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLASLinux 5.109001800270036004500SE +/- 11.55, N = 341121. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterLeelaChessZero 0.26Backend: BLASLinux 5.1036912159.64
MinAvgMaxLinux 5.10120.1426.6492.2OpenBenchmarking.orgWatts, Fewer Is BetterLeelaChessZero 0.26CPU Power Consumption Monitor1302603905206501. Linux 5.10: Approximate power consumption of 76639 Joules per run.

RELION

RELION - REgularised LIkelihood OptimisatioN - is a stand-alone computer program for Maximum A Posteriori refinement of (multiple) 3D reconstructions or 2D class averages in cryo-electron microscopy (cryo-EM). It is developed in the research group of Sjors Scheres at the MRC Laboratory of Molecular Biology. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRELION 3.1.1Test: Basic - Device: CPULinux 5.1080160240320400SE +/- 3.11, N = 3351.121. (CXX) g++ options: -fopenmp -std=c++0x -O3 -rdynamic -ldl -ltiff -lfftw3f -lfftw3 -lpng -pthread -lmpi_cxx -lmpi
MinAvgMaxLinux 5.10119.7480.9492.3OpenBenchmarking.orgWatts, Fewer Is BetterRELION 3.1.1CPU Power Consumption Monitor1302603905206501. Linux 5.10: Approximate power consumption of 85440 Joules per run.

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 AtomsLinux 5.10612182430SE +/- 0.06, N = 325.021. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day Per Watt, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k AtomsLinux 5.100.01350.0270.04050.0540.06750.06
MinAvgMaxLinux 5.10119.8428.2440.9OpenBenchmarking.orgWatts, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020CPU Power Consumption Monitor1202403604806001. Linux 5.10: Approximate power consumption of 74937 Joules per run.

BRL-CAD

BRL-CAD 7.28.0 is a cross-platform, open-source solid modeling system with built-in benchmark mode. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.30.8VGR Performance MetricLinux 5.10130K260K390K520K650K6159301. (CXX) g++ options: -std=c++11 -pipe -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -pedantic -rdynamic -lSM -lICE -lXi -lGLU -lGL -lGLdispatch -lX11 -lXext -lXrender -lpthread -ldl -luuid -lm
OpenBenchmarking.orgVGR Performance Metric Per Watt, More Is BetterBRL-CAD 7.30.8VGR Performance MetricLinux 5.10300600900120015001313.98
MinAvgMaxLinux 5.10120.6468.8492.1OpenBenchmarking.orgWatts, Fewer Is BetterBRL-CAD 7.30.8CPU Power Consumption Monitor130260390520650

LZ4 Compression

This test measures the time needed to compress/decompress a sample file (an Ubuntu ISO) using LZ4 compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Decompression SpeedLinux 5.102K4K6K8K10KSE +/- 33.18, N = 1510505.71. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s Per Watt, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Decompression SpeedLinux 5.102040608010079.94
MinAvgMaxLinux 5.10119.7131.4142.9OpenBenchmarking.orgWatts, Fewer Is BetterLZ4 Compression 1.9.3CPU Power Consumption Monitor40801201602001. Linux 5.10: Approximate power consumption of 4425 Joules per run.

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Compression SpeedLinux 5.101122334455SE +/- 0.41, N = 1547.791. (CC) gcc options: -O3

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: NASNet MobileLinux 5.1030K60K90K120K150KSE +/- 3714.56, N = 15157245
MinAvgMaxLinux 5.10121.7390.7435.9OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Power Consumption Monitor1102203304405501. Linux 5.10: Approximate power consumption of 12634 Joules per run.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatLinux 5.109K18K27K36K45KSE +/- 344.62, N = 1543015.3
MinAvgMaxLinux 5.10120.6446.9478.7OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Power Consumption Monitor1202403604806001. Linux 5.10: Approximate power consumption of 14450 Joules per run.

Rodinia

Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LeukocyteLinux 5.101224364860SE +/- 0.36, N = 1554.971. (CXX) g++ options: -O2 -lOpenCL
MinAvgMaxLinux 5.10120.6266.8306.8OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 3.1CPU Power Consumption Monitor801602403204001. Linux 5.10: Approximate power consumption of 7881 Joules per run.

Numpy Benchmark

This is a test to obtain the general Numpy performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkLinux 5.1070140210280350SE +/- 0.06, N = 3322.74
OpenBenchmarking.orgScore Per Watt, More Is BetterNumpy BenchmarkLinux 5.100.55131.10261.65392.20522.75652.45
MinAvgMaxLinux 5.10119.6131.9143.4OpenBenchmarking.orgWatts, Fewer Is BetterNumpy BenchmarkCPU Power Consumption Monitor40801201602001. Linux 5.10: Approximate power consumption of 18022 Joules per run.

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 5.1014M28M42M56M70MSE +/- 1897467.25, N = 15651802651. (CXX) g++ options: -O3 -fopenmp
OpenBenchmarking.orgThroughput FoM Per Watt, More Is BetterKripke 1.2.4Linux 5.1060K120K180K240K300K268141.36
MinAvgMaxLinux 5.10121.0243.1327.6OpenBenchmarking.orgWatts, Fewer Is BetterKripke 1.2.4CPU Power Consumption Monitor801602403204001. Linux 5.10: Approximate power consumption of 6952 Joules per run.

Hierarchical INTegration

This test runs the U.S. Department of Energy's Ames Laboratory Hierarchical INTegration (HINT) benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOATLinux 5.1070M140M210M280M350MSE +/- 102987.33, N = 3322922449.171. (CC) gcc options: -O3 -march=native -lm
OpenBenchmarking.orgQUIPs Per Watt, More Is BetterHierarchical INTegration 1.0Test: FLOATLinux 5.10500K1000K1500K2000K2500K2514775.52
MinAvgMaxLinux 5.10119.7128.4130.3OpenBenchmarking.orgWatts, Fewer Is BetterHierarchical INTegration 1.0CPU Power Consumption Monitor40801201602001. Linux 5.10: Approximate power consumption of 17335 Joules per run.

Apache Siege

This is a test of the Apache web server performance being facilitated by the Siege web server benchmark program. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTransactions Per Second, More Is BetterApache Siege 2.4.29Concurrent Users: 250Linux 5.108K16K24K32K40KSE +/- 949.56, N = 1238364.091. (CC) gcc options: -O2 -lpthread -ldl -lssl -lcrypto
OpenBenchmarking.orgTransactions Per Second Per Watt, More Is BetterApache Siege 2.4.29Concurrent Users: 250Linux 5.10306090120150115.58
MinAvgMaxLinux 5.10120.0331.9358.8OpenBenchmarking.orgWatts, Fewer Is BetterApache Siege 2.4.29CPU Power Consumption Monitor1002003004005001. Linux 5.10: Approximate power consumption of 11672 Joules per run.

CLOMP

CLOMP is the C version of the Livermore OpenMP benchmark developed to measure OpenMP overheads and other performance impacts due to threading in order to influence future system designs. This particular test profile configuration is currently set to look at the OpenMP static schedule speed-up across all available CPU cores using the recommended test configuration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSpeedup, More Is BetterCLOMP 1.2Static OMP SpeedupLinux 5.10918273645SE +/- 0.78, N = 1541.61. (CC) gcc options: -fopenmp -O3 -lm
OpenBenchmarking.orgSpeedup Per Watt, More Is BetterCLOMP 1.2Static OMP SpeedupLinux 5.100.06080.12160.18240.24320.3040.27
MinAvgMaxLinux 5.10119.5151.7313.8OpenBenchmarking.orgWatts, Fewer Is BetterCLOMP 1.2CPU Power Consumption Monitor801602403204001. Linux 5.10: Approximate power consumption of 4167 Joules per run.

Gcrypt Library

Libgcrypt is a general purpose cryptographic library developed as part of the GnuPG project. This is a benchmark of libgcrypt's integrated benchmark and is measuring the time to run the benchmark command with a cipher/mac/hash repetition count set for 50 times as simple, high level look at the overall crypto performance of the system under test. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGcrypt Library 1.9Linux 5.1050100150200250SE +/- 0.16, N = 3233.101. (CC) gcc options: -O2 -fvisibility=hidden -lgpg-error
MinAvgMaxLinux 5.10119.7127.3130.7OpenBenchmarking.orgWatts, Fewer Is BetterGcrypt Library 1.9CPU Power Consumption Monitor40801201602001. Linux 5.10: Approximate power consumption of 15106 Joules per run.

SVT-AV1

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-AV1 CPU-based multi-threaded video encoder for the AV1 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 0 - Input: 1080pLinux 5.100.02120.04240.06360.08480.106SE +/- 0.001, N = 30.0941. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 0 - Input: 1080pLinux 5.10
MinAvgMaxLinux 5.10119.5154.2298.6OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 0.8CPU Power Consumption Monitor801602403204001. Linux 5.10: Approximate power consumption of 17070 Joules per run.

Timed LLVM Compilation

This test times how long it takes to build the LLVM compiler. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 10.0Time To CompileLinux 5.1050100150200250SE +/- 0.93, N = 3209.57
MinAvgMaxLinux 5.10120.9318.2492.9OpenBenchmarking.orgWatts, Fewer Is BetterTimed LLVM Compilation 10.0CPU Power Consumption Monitor1302603905206501. Linux 5.10: Approximate power consumption of 36909 Joules per run.

Zstd Compression

This test measures the time needed to compress a sample file (an Ubuntu ISO) using Zstd compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19Linux 5.1020406080100SE +/- 1.80, N = 1595.71. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s Per Watt, More Is BetterZstd Compression 1.4.5Compression Level: 19Linux 5.100.1080.2160.3240.4320.540.48
MinAvgMaxLinux 5.10120.2197.5308.4OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.4.5CPU Power Consumption Monitor801602403204001. Linux 5.10: Approximate power consumption of 4346 Joules per run.

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 60MLinux 5.10306090120150SE +/- 0.04, N = 3130.091. (CXX) g++ options: -std=c++11 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm
MinAvgMaxLinux 5.10120.9289.1396.6OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 8CPU Power Consumption Monitor1102203304405501. Linux 5.10: Approximate power consumption of 29493 Joules per run.

Caffe

This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 100Linux 5.1040K80K120K160K200KSE +/- 1896.85, N = 31891801. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
MinAvgMaxLinux 5.10121.9440.2462.4OpenBenchmarking.orgWatts, Fewer Is BetterCaffe 2020-02-13CPU Power Consumption Monitor1202403604806001. Linux 5.10: Approximate power consumption of 43286 Joules per run.

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read Write - Average LatencyLinux 5.10246810SE +/- 0.250, N = 156.0881. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
MinAvgMaxLinux 5.10119.8156.9277.5OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL pgbench 13.0CPU Power Consumption Monitor701402102803501. Linux 5.10: Approximate power consumption of 3148 Joules per run.

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read WriteLinux 5.104K8K12K16K20KSE +/- 707.63, N = 15168531. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average LatencyLinux 5.103691215SE +/- 0.50, N = 1512.921. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
MinAvgMaxLinux 5.10120.1169.2307.9OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL pgbench 13.0CPU Power Consumption Monitor801602403204001. Linux 5.10: Approximate power consumption of 3374 Joules per run.

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 250 - Mode: Read WriteLinux 5.104K8K12K16K20KSE +/- 809.86, N = 15198161. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

Blender

Blender is an open-source 3D creation software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via OpenCL or CUDA is supported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Barbershop - Compute: CPU-OnlyLinux 5.10306090120150SE +/- 0.93, N = 3158.16
MinAvgMaxLinux 5.10121.3432.1492.1OpenBenchmarking.orgWatts, Fewer Is BetterBlender 2.90CPU Power Consumption Monitor1302603905206501. Linux 5.10: Approximate power consumption of 35865 Joules per run.

Cpuminer-Opt

Cpuminer-Opt is a fork of cpuminer-multi that carries a wide range of CPU performance optimizations for measuring the potential cryptocurrency mining performance of the CPU/processor with a wide variety of cryptocurrencies. The benchmark reports the hash speed for the CPU mining performance for the selected cryptocurrency. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.15.5Algorithm: SkeincoinLinux 5.1080K160K240K320K400KSE +/- 3597.25, N = 153633461. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.15.5Algorithm: SkeincoinLinux 5.1060012001800240030002889.62
MinAvgMaxLinux 5.10120.0125.7146.7OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.15.5CPU Power Consumption Monitor40801201602001. Linux 5.10: Approximate power consumption of 2196 Joules per run.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.15.5Algorithm: x25xLinux 5.1030060090012001500SE +/- 11.78, N = 151503.101. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.15.5Algorithm: x25xLinux 5.101.32982.65963.98945.31926.6495.91
MinAvgMaxLinux 5.10120.0254.2428.3OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.15.5CPU Power Consumption Monitor1102203304405501. Linux 5.10: Approximate power consumption of 4439 Joules per run.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.15.5Algorithm: DeepcoinLinux 5.1010K20K30K40K50KSE +/- 626.76, N = 15459041. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.15.5Algorithm: DeepcoinLinux 5.1070140210280350328.46
MinAvgMaxLinux 5.10120.2139.8388.1OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.15.5CPU Power Consumption Monitor1002003004005001. Linux 5.10: Approximate power consumption of 2441 Joules per run.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.15.5Algorithm: LBC, LBRY CreditsLinux 5.1030K60K90K120K150KSE +/- 1088.59, N = 151356021. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.15.5Algorithm: LBC, LBRY CreditsLinux 5.1020040060080010001059.93
MinAvgMaxLinux 5.10120.0127.9174.3OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.15.5CPU Power Consumption Monitor501001502002501. Linux 5.10: Approximate power consumption of 2235 Joules per run.

High Performance Conjugate Gradient

HPCG is the High Performance Conjugate Gradient and is a new scientific benchmark from Sandia National Lans focused for super-computer testing with modern real-world workloads compared to HPCC. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1Linux 5.10714212835SE +/- 0.14, N = 331.131. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgGFLOP/s Per Watt, More Is BetterHigh Performance Conjugate Gradient 3.1Linux 5.100.02030.04060.06090.08120.10150.09
MinAvgMaxLinux 5.10119.5362.4389.2OpenBenchmarking.orgWatts, Fewer Is BetterHigh Performance Conjugate Gradient 3.1CPU Power Consumption Monitor1002003004005001. Linux 5.10: Approximate power consumption of 27907 Joules per run.

Cpuminer-Opt

Cpuminer-Opt is a fork of cpuminer-multi that carries a wide range of CPU performance optimizations for measuring the potential cryptocurrency mining performance of the CPU/processor with a wide variety of cryptocurrencies. The benchmark reports the hash speed for the CPU mining performance for the selected cryptocurrency. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.15.5Algorithm: MagiLinux 5.105001000150020002500SE +/- 34.13, N = 142354.131. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.15.5Algorithm: MagiLinux 5.10369121510.18
MinAvgMaxLinux 5.10120.1231.3345.9OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.15.5CPU Power Consumption Monitor1002003004005001. Linux 5.10: Approximate power consumption of 4047 Joules per run.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.15.5Algorithm: Myriad-GroestlLinux 5.1011002200330044005500SE +/- 60.89, N = 144991.111. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.15.5Algorithm: Myriad-GroestlLinux 5.1091827364537.99
MinAvgMaxLinux 5.10120.1131.4192.5OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.15.5CPU Power Consumption Monitor501001502002501. Linux 5.10: Approximate power consumption of 2299 Joules per run.

asmFish

This is a test of asmFish, an advanced chess benchmark written in Assembly. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 DepthLinux 5.1020M40M60M80M100MSE +/- 1158651.23, N = 3116201937
OpenBenchmarking.orgNodes/second Per Watt, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 DepthLinux 5.1050K100K150K200K250K246434.29
MinAvgMaxLinux 5.10121.5471.5492.1OpenBenchmarking.orgWatts, Fewer Is BetterasmFish 2018-07-23CPU Power Consumption Monitor1302603905206501. Linux 5.10: Approximate power consumption of 33950 Joules per run.

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 250 - Mode: Read Write - Average LatencyLinux 5.1048121620SE +/- 0.05, N = 318.181. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
MinAvgMaxLinux 5.10119.9139.8270.2OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL pgbench 13.0CPU Power Consumption Monitor701402102803501. Linux 5.10: Approximate power consumption of 9648 Joules per run.

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 250 - Mode: Read WriteLinux 5.103K6K9K12K15KSE +/- 41.79, N = 3137841. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

Cpuminer-Opt

Cpuminer-Opt is a fork of cpuminer-multi that carries a wide range of CPU performance optimizations for measuring the potential cryptocurrency mining performance of the CPU/processor with a wide variety of cryptocurrencies. The benchmark reports the hash speed for the CPU mining performance for the selected cryptocurrency. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.15.5Algorithm: GarlicoinLinux 5.102K4K6K8K10KSE +/- 62.19, N = 139912.851. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.15.5Algorithm: GarlicoinLinux 5.10132639526559.67
MinAvgMaxLinux 5.10120.4166.1437.4OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.15.5CPU Power Consumption Monitor1102203304405501. Linux 5.10: Approximate power consumption of 2901 Joules per run.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.15.5Algorithm: RingcoinLinux 5.1030060090012001500SE +/- 39.33, N = 131505.261. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.15.5Algorithm: RingcoinLinux 5.1036912159.28
MinAvgMaxLinux 5.10120.2162.2275.4OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.15.5CPU Power Consumption Monitor701402102803501. Linux 5.10: Approximate power consumption of 2833 Joules per run.

InfluxDB

This is a benchmark of the InfluxDB open-source time-series database optimized for fast, high-availability storage for IoT and other use-cases. The InfluxDB test profile makes use of InfluxDB Inch for facilitating the benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Linux 5.10200K400K600K800K1000KSE +/- 1079.29, N = 3818275.3
OpenBenchmarking.orgval/sec Per Watt, More Is BetterInfluxDB 1.8.2Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Linux 5.10110022003300440055004903.04
MinAvgMaxLinux 5.10120.3166.9185.6OpenBenchmarking.orgWatts, Fewer Is BetterInfluxDB 1.8.2CPU Power Consumption Monitor501001502002501. Linux 5.10: Approximate power consumption of 11070 Joules per run.

Tungsten Renderer

Tungsten is a C++ physically based renderer that makes use of Intel's Embree ray tracing library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: Water CausticLinux 5.10510152025SE +/- 0.14, N = 1521.191. (CXX) g++ options: -std=c++0x -march=znver1 -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl
MinAvgMaxLinux 5.10120.0186.2232.5OpenBenchmarking.orgWatts, Fewer Is BetterTungsten Renderer 0.2.2CPU Power Consumption Monitor601201802403001. Linux 5.10: Approximate power consumption of 2706 Joules per run.

Cpuminer-Opt

Cpuminer-Opt is a fork of cpuminer-multi that carries a wide range of CPU performance optimizations for measuring the potential cryptocurrency mining performance of the CPU/processor with a wide variety of cryptocurrencies. The benchmark reports the hash speed for the CPU mining performance for the selected cryptocurrency. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.15.5Algorithm: Triple SHA-256, OnecoinLinux 5.1080K160K240K320K400KSE +/- 6933.45, N = 123910971. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.15.5Algorithm: Triple SHA-256, OnecoinLinux 5.1070014002100280035003106.17
MinAvgMaxLinux 5.10120.2125.9139.5OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.15.5CPU Power Consumption Monitor40801201602001. Linux 5.10: Approximate power consumption of 2203 Joules per run.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.15.5Algorithm: Blake-2 SLinux 5.10400K800K1200K1600K2000KSE +/- 31987.06, N = 1217115381. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.15.5Algorithm: Blake-2 SLinux 5.103K6K9K12K15K13708.58
MinAvgMaxLinux 5.10120.2124.9129.7OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.15.5CPU Power Consumption Monitor40801201602001. Linux 5.10: Approximate power consumption of 2185 Joules per run.

BYTE Unix Benchmark

This is a test of BYTE. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 2Linux 5.108M16M24M32M40MSE +/- 402627.98, N = 337386556.6
OpenBenchmarking.orgLPS Per Watt, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 2Linux 5.1060K120K180K240K300K298516.87
MinAvgMaxLinux 5.10119.7125.2133.5OpenBenchmarking.orgWatts, Fewer Is BetterBYTE Unix Benchmark 3.6CPU Power Consumption Monitor40801201602001. Linux 5.10: Approximate power consumption of 7807 Joules per run.

Timed Linux Kernel Compilation

This test times how long it takes to build the Linux kernel in a default configuration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To CompileLinux 5.10612182430SE +/- 0.16, N = 1326.11
MinAvgMaxLinux 5.10120.1288.7492.1OpenBenchmarking.orgWatts, Fewer Is BetterTimed Linux Kernel Compilation 5.4CPU Power Consumption Monitor1302603905206501. Linux 5.10: Approximate power consumption of 5063 Joules per run.

Caffe

This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 100Linux 5.1020K40K60K80K100KSE +/- 996.74, N = 31094701. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
MinAvgMaxLinux 5.10119.7438.8461.1OpenBenchmarking.orgWatts, Fewer Is BetterCaffe 2020-02-13CPU Power Consumption Monitor1202403604806001. Linux 5.10: Approximate power consumption of 25161 Joules per run.

Timed GDB GNU Debugger Compilation

This test times how long it takes to build the GNU Debugger (GDB) in a default configuration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GDB GNU Debugger Compilation 9.1Time To CompileLinux 5.1020406080100SE +/- 0.64, N = 3102.50
MinAvgMaxLinux 5.10120.4152.9492.1OpenBenchmarking.orgWatts, Fewer Is BetterTimed GDB GNU Debugger Compilation 9.1CPU Power Consumption Monitor1302603905206501. Linux 5.10: Approximate power consumption of 8156 Joules per run.

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 1080p 10-bitLinux 5.10306090120150SE +/- 0.47, N = 3130.62MIN: 89.55 / MAX: 202.251. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS Per Watt, More Is Betterdav1d 0.8.1Video Input: Chimera 1080p 10-bitLinux 5.100.20250.4050.60750.811.01250.90
MinAvgMaxLinux 5.10119.5145.9184.7OpenBenchmarking.orgWatts, Fewer Is Betterdav1d 0.8.1CPU Power Consumption Monitor501001502002501. Linux 5.10: Approximate power consumption of 28167 Joules per run.

Rodinia

Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3DLinux 5.1020406080100SE +/- 0.62, N = 396.761. (CXX) g++ options: -O2 -lOpenCL
MinAvgMaxLinux 5.10119.5156.3253.8OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 3.1CPU Power Consumption Monitor701402102803501. Linux 5.10: Approximate power consumption of 7917 Joules per run.

PlaidML

This test profile uses PlaidML deep learning framework developed by Intel for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: CPULinux 5.10612182430SE +/- 0.14, N = 325.36
OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: CPULinux 5.100.02030.04060.06090.08120.10150.09
MinAvgMaxLinux 5.10119.7271.4333.4OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLCPU Power Consumption Monitor801602403204001. Linux 5.10: Approximate power consumption of 13388 Joules per run.

InfluxDB

This is a benchmark of the InfluxDB open-source time-series database optimized for fast, high-availability storage for IoT and other use-cases. The InfluxDB test profile makes use of InfluxDB Inch for facilitating the benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Linux 5.10300K600K900K1200K1500KSE +/- 993.12, N = 31223604.8
OpenBenchmarking.orgval/sec Per Watt, More Is BetterInfluxDB 1.8.2Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Linux 5.10140028004200560070006633.80
MinAvgMaxLinux 5.10120.3184.4208.1OpenBenchmarking.orgWatts, Fewer Is BetterInfluxDB 1.8.2CPU Power Consumption Monitor601201802403001. Linux 5.10: Approximate power consumption of 8485 Joules per run.

Redis

Redis is an open-source in-memory data structure store, used as a database, cache, and message broker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: LPUSHLinux 5.10300K600K900K1200K1500KSE +/- 19431.53, N = 141206370.591. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second Per Watt, More Is BetterRedis 6.0.9Test: LPUSHLinux 5.102K4K6K8K10K9731.23
MinAvgMaxLinux 5.10119.6124.0131.7OpenBenchmarking.orgWatts, Fewer Is BetterRedis 6.0.9CPU Power Consumption Monitor40801201602001. Linux 5.10: Approximate power consumption of 1417 Joules per run.

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 HydrodynamicsLinux 5.1048121620SE +/- 0.30, N = 1517.441. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
MinAvgMaxLinux 5.10121.0285.1346.8OpenBenchmarking.orgWatts, Fewer Is BetterCloverLeafCPU Power Consumption Monitor1002003004005001. Linux 5.10: Approximate power consumption of 3079 Joules per run.

IOR

IOR is a parallel I/O storage benchmark making use of MPI with a particular focus on HPC (High Performance Computing) systems. IOR is developed at the Lawrence Livermore National Laboratory (LLNL). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterIOR 3.3.0Block Size: 8MB - Disk Target: Default Test DirectoryLinux 5.10110220330440550SE +/- 5.81, N = 3529.43MIN: 260.25 / MAX: 972.231. (CC) gcc options: -O2 -lm -pthread -lmpi
OpenBenchmarking.orgMB/s Per Watt, More Is BetterIOR 3.3.0Block Size: 8MB - Disk Target: Default Test DirectoryLinux 5.100.56481.12961.69442.25922.8242.51
MinAvgMaxLinux 5.10120.2211.0224.3OpenBenchmarking.orgWatts, Fewer Is BetterIOR 3.3.0CPU Power Consumption Monitor601201802403001. Linux 5.10: Approximate power consumption of 9283 Joules per run.

Timed MrBayes Analysis

This test performs a bayesian analysis of a set of primate genome sequences in order to estimate their phylogeny. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MrBayes Analysis 3.2.7Primate Phylogeny AnalysisLinux 5.1020406080100SE +/- 0.13, N = 381.851. (CC) gcc options: -mmmx -msse -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -msha -maes -mavx -mfma -mavx2 -mrdrnd -mbmi -mbmi2 -madx -mabm -O3 -std=c99 -pedantic -lm
MinAvgMaxLinux 5.10121.0469.1492.0OpenBenchmarking.orgWatts, Fewer Is BetterTimed MrBayes Analysis 3.2.7CPU Power Consumption Monitor1302603905206501. Linux 5.10: Approximate power consumption of 20170 Joules per run.

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: Mobilenet QuantLinux 5.109K18K27K36K45KSE +/- 465.03, N = 443716.3
MinAvgMaxLinux 5.10121.5448.4479.9OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Power Consumption Monitor1202403604806001. Linux 5.10: Approximate power consumption of 14460 Joules per run.

Redis

Redis is an open-source in-memory data structure store, used as a database, cache, and message broker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: GETLinux 5.10400K800K1200K1600K2000KSE +/- 17472.07, N = 151716829.231. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second Per Watt, More Is BetterRedis 6.0.9Test: GETLinux 5.103K6K9K12K15K13922.68
MinAvgMaxLinux 5.10119.6123.3134.5OpenBenchmarking.orgWatts, Fewer Is BetterRedis 6.0.9CPU Power Consumption Monitor40801201602001. Linux 5.10: Approximate power consumption of 1233 Joules per run.

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: TradesoapLinux 5.1011002200330044005500SE +/- 38.07, N = 205150
MinAvgMaxLinux 5.10119.7164.5302.3OpenBenchmarking.orgWatts, Fewer Is BetterDaCapo Benchmark 9.12-MR1CPU Power Consumption Monitor801602403204001. Linux 5.10: Approximate power consumption of 1292 Joules per run.

OSPray

Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific visualizations. OSPray builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: Path TracerLinux 5.100.97431.94862.92293.89724.8715SE +/- 0.01, N = 34.33MIN: 3.44 / MAX: 4.37
OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: Path TracerLinux 5.100.00230.00460.00690.00920.01150.01
MinAvgMaxLinux 5.10120.1344.1486.8OpenBenchmarking.orgWatts, Fewer Is BetterOSPray 1.8.5CPU Power Consumption Monitor1302603905206501. Linux 5.10: Approximate power consumption of 13994 Joules per run.

GnuPG

This test times how long it takes to encrypt a sample file using GnuPG. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGnuPG 2.2.272.7GB Sample File EncryptionLinux 5.1020406080100SE +/- 0.47, N = 377.111. (CC) gcc options: -O2
MinAvgMaxLinux 5.10119.5129.2131.7OpenBenchmarking.orgWatts, Fewer Is BetterGnuPG 2.2.27CPU Power Consumption Monitor40801201602001. Linux 5.10: Approximate power consumption of 5296 Joules per run.

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: H2Linux 5.1012002400360048006000SE +/- 132.95, N = 205654
MinAvgMaxLinux 5.10119.6133.4163.5OpenBenchmarking.orgWatts, Fewer Is BetterDaCapo Benchmark 9.12-MR1CPU Power Consumption Monitor501001502002501. Linux 5.10: Approximate power consumption of 1007 Joules per run.

simdjson

This is a benchmark of SIMDJSON, a high performance JSON parser. SIMDJSON aims to be the fastest JSON parser and is used by projects like Microsoft FishStore, Yandex ClickHouse, Shopify, and others. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: KostyaLinux 5.100.12830.25660.38490.51320.6415SE +/- 0.00, N = 30.571. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s Per Watt, More Is Bettersimdjson 0.7.1Throughput Test: KostyaLinux 5.10
MinAvgMaxLinux 5.10119.6129.7132.0OpenBenchmarking.orgWatts, Fewer Is Bettersimdjson 0.7.1CPU Power Consumption Monitor40801201602001. Linux 5.10: Approximate power consumption of 4927 Joules per run.

KeyDB

A benchmark of KeyDB as a multi-threaded fork of the Redis server. The KeyDB benchmark is conducted using memtier-benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.16Linux 5.1060K120K180K240K300KSE +/- 3843.85, N = 3280163.951. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec Per Watt, More Is BetterKeyDB 6.0.16Linux 5.104008001200160020001736.19
MinAvgMaxLinux 5.10120.8161.4180.8OpenBenchmarking.orgWatts, Fewer Is BetterKeyDB 6.0.16CPU Power Consumption Monitor501001502002501. Linux 5.10: Approximate power consumption of 6078 Joules per run.

SQLite Speedtest

This is a benchmark of SQLite's speedtest1 benchmark program with an increased problem size of 1,000. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,000Linux 5.101632486480SE +/- 0.09, N = 370.311. (CC) gcc options: -O2 -ldl -lz -lpthread
MinAvgMaxLinux 5.10119.5130.4131.8OpenBenchmarking.orgWatts, Fewer Is BetterSQLite Speedtest 3.30CPU Power Consumption Monitor40801201602001. Linux 5.10: Approximate power consumption of 4867 Joules per run.

Chaos Group V-RAY

This is a test of Chaos Group's V-RAY benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgKsamples, More Is BetterChaos Group V-RAY 4.10.07Mode: CPULinux 5.1012K24K36K48K60KSE +/- 624.59, N = 354137
OpenBenchmarking.orgKsamples Per Watt, More Is BetterChaos Group V-RAY 4.10.07Mode: CPULinux 5.10306090120150129.30
MinAvgMaxLinux 5.10120.1418.7491.9OpenBenchmarking.orgWatts, Fewer Is BetterChaos Group V-RAY 4.10.07CPU Power Consumption Monitor1302603905206501. Linux 5.10: Approximate power consumption of 15213 Joules per run.

Build2

This test profile measures the time to bootstrap/install the build2 C++ build toolchain from source. Build2 is a cross-platform build toolchain for C/C++ code and features Cargo-like features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.13Time To CompileLinux 5.101530456075SE +/- 0.41, N = 367.94
MinAvgMaxLinux 5.10121.0256.4492.1OpenBenchmarking.orgWatts, Fewer Is BetterBuild2 0.13CPU Power Consumption Monitor1302603905206501. Linux 5.10: Approximate power consumption of 9231 Joules per run.

FinanceBench

FinanceBench is a collection of financial program benchmarks with support for benchmarking on the GPU via OpenCL and CPU benchmarking with OpenMP. The FinanceBench test cases are focused on Black-Sholes-Merton Process with Analytic European Option engine, QMC (Sobol) Monte-Carlo method (Equity Option Example), Bonds Fixed-rate bond with flat forward curve, and Repo Securities repurchase agreement. FinanceBench was originally written by the Cavazos Lab at University of Delaware. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-07-25Benchmark: Bonds OpenMPLinux 5.1012K24K36K48K60KSE +/- 245.29, N = 357310.351. (CXX) g++ options: -O3 -march=native -fopenmp
MinAvgMaxLinux 5.10119.5169.8183.5OpenBenchmarking.orgWatts, Fewer Is BetterFinanceBench 2016-07-25CPU Power Consumption Monitor501001502002501. Linux 5.10: Approximate power consumption of 6113 Joules per run.

LZ4 Compression

This test measures the time needed to compress/decompress a sample file (an Ubuntu ISO) using LZ4 compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Decompression SpeedLinux 5.102K4K6K8K10KSE +/- 24.78, N = 310527.21. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s Per Watt, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Decompression SpeedLinux 5.102040608010079.10
MinAvgMaxLinux 5.10119.9133.1144.6OpenBenchmarking.orgWatts, Fewer Is BetterLZ4 Compression 1.9.3CPU Power Consumption Monitor40801201602001. Linux 5.10: Approximate power consumption of 4437 Joules per run.

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Compression SpeedLinux 5.101122334455SE +/- 0.03, N = 348.891. (CC) gcc options: -O3

LuxCoreRender

LuxCoreRender is an open-source physically based renderer. This test profile is focused on running LuxCoreRender on the CPU as opposed to the OpenCL version. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: DLSCLinux 5.10246810SE +/- 0.05, N = 37.75MIN: 7.57 / MAX: 8.18
OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.3Scene: DLSCLinux 5.100.00450.0090.01350.0180.02250.02
MinAvgMaxLinux 5.10121.5459.0492.1OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.3CPU Power Consumption Monitor1302603905206501. Linux 5.10: Approximate power consumption of 14995 Joules per run.

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: Inception V4Linux 5.10200K400K600K800K1000KSE +/- 4174.26, N = 3835208
MinAvgMaxLinux 5.10121.4427.6458.1OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Power Consumption Monitor1202403604806001. Linux 5.10: Approximate power consumption of 14109 Joules per run.

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 CompileLinux 5.101428425670SE +/- 0.28, N = 361.44
MinAvgMaxLinux 5.10120.7272.9492.1OpenBenchmarking.orgWatts, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3CPU Power Consumption Monitor1302603905206501. Linux 5.10: Approximate power consumption of 9095 Joules per run.

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: Inception ResNet V2Linux 5.10160K320K480K640K800KSE +/- 1447.51, N = 3755450
MinAvgMaxLinux 5.10121.5435.5469.9OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Power Consumption Monitor1202403604806001. Linux 5.10: Approximate power consumption of 14370 Joules per run.

LuxCoreRender

LuxCoreRender is an open-source physically based renderer. This test profile is focused on running LuxCoreRender on the CPU as opposed to the OpenCL version. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: Rainbow Colors and PrismLinux 5.10246810SE +/- 0.04, N = 38.83MIN: 8.34 / MAX: 8.96
OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.3Scene: Rainbow Colors and PrismLinux 5.100.00450.0090.01350.0180.02250.02
MinAvgMaxLinux 5.10121.6463.0492.3OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.3CPU Power Consumption Monitor1302603905206501. Linux 5.10: Approximate power consumption of 15125 Joules per run.

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: SqueezeNetLinux 5.1013K26K39K52K65KSE +/- 72.63, N = 361294.2
MinAvgMaxLinux 5.10121.3449.7480.1OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Power Consumption Monitor1202403604806001. Linux 5.10: Approximate power consumption of 14542 Joules per run.

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 5.101326395265SE +/- 0.33, N = 359.521. (CC) gcc options: -pthread -shared -fwrapv -O2 -lxc -lblas -lmpi
MinAvgMaxLinux 5.10120.3402.6465.2OpenBenchmarking.orgWatts, Fewer Is BetterGPAW 20.1CPU Power Consumption Monitor1202403604806001. Linux 5.10: Approximate power consumption of 13016 Joules per run.

John The Ripper

This is a benchmark of John The Ripper, which is a password cracker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: MD5Linux 5.101000K2000K3000K4000K5000KSE +/- 8171.77, N = 347806671. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -pthread -lm -lz -ldl -lcrypt -lbz2
OpenBenchmarking.orgReal C/S Per Watt, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: MD5Linux 5.102K4K6K8K10K10338.48
MinAvgMaxLinux 5.10121.0462.4492.1OpenBenchmarking.orgWatts, Fewer Is BetterJohn The Ripper 1.9.0-jumbo-1CPU Power Consumption Monitor1302603905206501. Linux 5.10: Approximate power consumption of 14951 Joules per run.

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: 5Linux 5.100.22910.45820.68730.91641.1455SE +/- 0.006, N = 31.018
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterrav1e 0.4Speed: 5Linux 5.100.00230.00460.00690.00920.01150.01
MinAvgMaxLinux 5.10119.6143.0158.0OpenBenchmarking.orgWatts, Fewer Is Betterrav1e 0.4CPU Power Consumption Monitor40801201602001. Linux 5.10: Approximate power consumption of 4481 Joules per run.

simdjson

This is a benchmark of SIMDJSON, a high performance JSON parser. SIMDJSON aims to be the fastest JSON parser and is used by projects like Microsoft FishStore, Yandex ClickHouse, Shopify, and others. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: LargeRandomLinux 5.100.08330.16660.24990.33320.4165SE +/- 0.00, N = 30.371. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s Per Watt, More Is Bettersimdjson 0.7.1Throughput Test: LargeRandomLinux 5.10
MinAvgMaxLinux 5.10119.5129.6131.7OpenBenchmarking.orgWatts, Fewer Is Bettersimdjson 0.7.1CPU Power Consumption Monitor40801201602001. Linux 5.10: Approximate power consumption of 4017 Joules per run.

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: 1Linux 5.100.0790.1580.2370.3160.395SE +/- 0.003, N = 30.351
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterrav1e 0.4Speed: 1Linux 5.10
MinAvgMaxLinux 5.10119.6146.0156.1OpenBenchmarking.orgWatts, Fewer Is Betterrav1e 0.4CPU Power Consumption Monitor40801201602001. Linux 5.10: Approximate power consumption of 4477 Joules per run.

Himeno Benchmark

The Himeno benchmark is a linear solver of pressure Poisson using a point-Jacobi method. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMFLOPS, More Is BetterHimeno Benchmark 3.0Poisson Pressure SolverLinux 5.109001800270036004500SE +/- 52.07, N = 44191.651. (CC) gcc options: -O3 -mavx2
OpenBenchmarking.orgMFLOPS Per Watt, More Is BetterHimeno Benchmark 3.0Poisson Pressure SolverLinux 5.1071421283531.50
MinAvgMaxLinux 5.10120.0133.1136.1OpenBenchmarking.orgWatts, Fewer Is BetterHimeno Benchmark 3.0CPU Power Consumption Monitor40801201602001. Linux 5.10: Approximate power consumption of 3094 Joules per run.

Redis

Redis is an open-source in-memory data structure store, used as a database, cache, and message broker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: LPOPLinux 5.10300K600K900K1200K1500KSE +/- 10685.61, N = 91284616.811. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second Per Watt, More Is BetterRedis 6.0.9Test: LPOPLinux 5.102K4K6K8K10K10329.47
MinAvgMaxLinux 5.10119.6124.4133.5OpenBenchmarking.orgWatts, Fewer Is BetterRedis 6.0.9CPU Power Consumption Monitor40801201602001. Linux 5.10: Approximate power consumption of 1396 Joules per run.

simdjson

This is a benchmark of SIMDJSON, a high performance JSON parser. SIMDJSON aims to be the fastest JSON parser and is used by projects like Microsoft FishStore, Yandex ClickHouse, Shopify, and others. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: PartialTweetsLinux 5.100.14180.28360.42540.56720.709SE +/- 0.00, N = 30.631. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s Per Watt, More Is Bettersimdjson 0.7.1Throughput Test: PartialTweetsLinux 5.10
MinAvgMaxLinux 5.10119.3128.6129.6OpenBenchmarking.orgWatts, Fewer Is Bettersimdjson 0.7.1CPU Power Consumption Monitor40801201602001. Linux 5.10: Approximate power consumption of 3730 Joules per run.

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: DistinctUserIDLinux 5.100.14630.29260.43890.58520.7315SE +/- 0.00, N = 30.651. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s Per Watt, More Is Bettersimdjson 0.7.1Throughput Test: DistinctUserIDLinux 5.100.00230.00460.00690.00920.01150.01
MinAvgMaxLinux 5.10119.5127.8128.9OpenBenchmarking.orgWatts, Fewer Is Bettersimdjson 0.7.1CPU Power Consumption Monitor40801201602001. Linux 5.10: Approximate power consumption of 3662 Joules per run.

Rodinia

Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMDLinux 5.101224364860SE +/- 0.02, N = 352.391. (CXX) g++ options: -O2 -lOpenCL
MinAvgMaxLinux 5.10120.5427.8492.1OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 3.1CPU Power Consumption Monitor1302603905206501. Linux 5.10: Approximate power consumption of 12121 Joules per run.

FinanceBench

FinanceBench is a collection of financial program benchmarks with support for benchmarking on the GPU via OpenCL and CPU benchmarking with OpenMP. The FinanceBench test cases are focused on Black-Sholes-Merton Process with Analytic European Option engine, QMC (Sobol) Monte-Carlo method (Equity Option Example), Bonds Fixed-rate bond with flat forward curve, and Repo Securities repurchase agreement. FinanceBench was originally written by the Cavazos Lab at University of Delaware. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-07-25Benchmark: Repo OpenMPLinux 5.109K18K27K36K45KSE +/- 215.27, N = 341287.101. (CXX) g++ options: -O3 -march=native -fopenmp
MinAvgMaxLinux 5.10119.7168.4185.0OpenBenchmarking.orgWatts, Fewer Is BetterFinanceBench 2016-07-25CPU Power Consumption Monitor501001502002501. Linux 5.10: Approximate power consumption of 4548 Joules per run.

ASTC Encoder

ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ExhaustiveLinux 5.10918273645SE +/- 0.04, N = 341.121. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
MinAvgMaxLinux 5.10120.7417.9492.0OpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 2.0CPU Power Consumption Monitor1302603905206501. Linux 5.10: Approximate power consumption of 10588 Joules per run.

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: 6Linux 5.100.30290.60580.90871.21161.5145SE +/- 0.005, N = 31.346
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterrav1e 0.4Speed: 6Linux 5.100.00230.00460.00690.00920.01150.01
MinAvgMaxLinux 5.10119.7141.0152.9OpenBenchmarking.orgWatts, Fewer Is Betterrav1e 0.4CPU Power Consumption Monitor40801201602001. Linux 5.10: Approximate power consumption of 3430 Joules per run.

GROMACS

The GROMACS (GROningen MAchine for Chemical Simulations) molecular dynamics package testing on the CPU with the water_GMX50 data. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkLinux 5.101.18282.36563.54844.73125.914SE +/- 0.013, N = 35.2571. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
OpenBenchmarking.orgNs Per Day Per Watt, More Is BetterGROMACS 2020.3Water BenchmarkLinux 5.100.00230.00460.00690.00920.01150.01
MinAvgMaxLinux 5.10121.3423.8490.5OpenBenchmarking.orgWatts, Fewer Is BetterGROMACS 2020.3CPU Power Consumption Monitor1302603905206501. Linux 5.10: Approximate power consumption of 9607 Joules per run.

OSPray

Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific visualizations. OSPray builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: Path TracerLinux 5.101.33882.67764.01645.35526.694SE +/- 0.00, N = 35.95MIN: 5.46 / MAX: 6.02
OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: Path TracerLinux 5.100.00230.00460.00690.00920.01150.01
MinAvgMaxLinux 5.10120.8419.2490.2OpenBenchmarking.orgWatts, Fewer Is BetterOSPray 1.8.5CPU Power Consumption Monitor1302603905206501. Linux 5.10: Approximate power consumption of 9362 Joules per run.

Redis

Redis is an open-source in-memory data structure store, used as a database, cache, and message broker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SETLinux 5.10300K600K900K1200K1500KSE +/- 13292.58, N = 71429370.711. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second Per Watt, More Is BetterRedis 6.0.9Test: SETLinux 5.102K4K6K8K10K11558.75
MinAvgMaxLinux 5.10119.6123.7132.4OpenBenchmarking.orgWatts, Fewer Is BetterRedis 6.0.9CPU Power Consumption Monitor40801201602001. Linux 5.10: Approximate power consumption of 1307 Joules per run.

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 5.100.09990.19980.29970.39960.4995SE +/- 0.00029, N = 30.44418
MinAvgMaxLinux 5.10121.6432.8492.1OpenBenchmarking.orgWatts, Fewer Is BetterNAMD 2.14CPU Power Consumption Monitor1302603905206501. Linux 5.10: Approximate power consumption of 9232 Joules per run.

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.DLinux 5.108001600240032004000SE +/- 4.54, N = 33871.581. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.0.3
OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.DLinux 5.10369121510.42
MinAvgMaxLinux 5.10120.0371.7412.8OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor1102203304405501. Linux 5.10: Approximate power consumption of 7434 Joules per run.

QuantLib

QuantLib is an open-source library/framework around quantitative finance for modeling, trading and risk management scenarios. QuantLib is written in C++ with Boost and its built-in benchmark used reports the QuantLib Benchmark Index benchmark score. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMFLOPS, More Is BetterQuantLib 1.21Linux 5.105001000150020002500SE +/- 14.69, N = 32156.41. (CXX) g++ options: -O3 -march=native -rdynamic
OpenBenchmarking.orgMFLOPS Per Watt, More Is BetterQuantLib 1.21Linux 5.104812162016.38
MinAvgMaxLinux 5.10120.3131.7134.4OpenBenchmarking.orgWatts, Fewer Is BetterQuantLib 1.21CPU Power Consumption Monitor40801201602001. Linux 5.10: Approximate power consumption of 2546 Joules per run.

Stockfish

This is a test of Stockfish, an advanced C++11 chess benchmark that can scale up to 128 CPU cores. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 12Total TimeLinux 5.1020M40M60M80M100MSE +/- 1090218.44, N = 3953532631. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++17 -pedantic -O3 -msse -msse3 -mpopcnt -msse4.1 -mssse3 -msse2 -flto -flto=jobserver
OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterStockfish 12Total TimeLinux 5.1050K100K150K200K250K218323.69
MinAvgMaxLinux 5.10119.5436.8492.1OpenBenchmarking.orgWatts, Fewer Is BetterStockfish 12CPU Power Consumption Monitor1302603905206501. Linux 5.10: Approximate power consumption of 8153 Joules per run.

Swet

Swet is a synthetic CPU/RAM benchmark, includes multi-processor test cases. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOperations Per Second, More Is BetterSwet 1.5.16AverageLinux 5.10150M300M450M600M750MSE +/- 4611428.30, N = 36835344081. (CC) gcc options: -lm -lpthread -lcurses -lrt
OpenBenchmarking.orgOperations Per Second Per Watt, More Is BetterSwet 1.5.16AverageLinux 5.101.2M2.4M3.6M4.8M6M5404866.17
MinAvgMaxLinux 5.10119.7126.5129.6OpenBenchmarking.orgWatts, Fewer Is BetterSwet 1.5.16CPU Power Consumption Monitor40801201602001. Linux 5.10: Approximate power consumption of 2276 Joules per run.

OSPray

Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific visualizations. OSPray builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: SciVisLinux 5.101224364860SE +/- 0.00, N = 352.63MIN: 24.39 / MAX: 58.82
OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: SciVisLinux 5.100.06980.13960.20940.27920.3490.31
MinAvgMaxLinux 5.10121.0171.0480.5OpenBenchmarking.orgWatts, Fewer Is BetterOSPray 1.8.5CPU Power Consumption Monitor1202403604806001. Linux 5.10: Approximate power consumption of 3078 Joules per run.

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: 10Linux 5.100.63831.27661.91492.55323.1915SE +/- 0.024, N = 32.837
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterrav1e 0.4Speed: 10Linux 5.100.00450.0090.01350.0180.02250.02
MinAvgMaxLinux 5.10119.8135.6145.3OpenBenchmarking.orgWatts, Fewer Is Betterrav1e 0.4CPU Power Consumption Monitor40801201602001. Linux 5.10: Approximate power consumption of 2440 Joules per run.

x265

This is a simple test of the x265 encoder run on the CPU with 1080p and 4K options for H.265 video encode performance with x265. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4KLinux 5.10510152025SE +/- 0.13, N = 319.261. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterx265 3.4Video Input: Bosphorus 4KLinux 5.100.0180.0360.0540.0720.090.08
MinAvgMaxLinux 5.10120.3232.0271.6OpenBenchmarking.orgWatts, Fewer Is Betterx265 3.4CPU Power Consumption Monitor701402102803501. Linux 5.10: Approximate power consumption of 4098 Joules per run.

Etcpak

Etcpack is the self-proclaimed "fastest ETC compressor on the planet" with focused on providing open-source, very fast ETC and S3 texture compression support. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMpx/s, More Is BetterEtcpak 0.7Configuration: ETC2Linux 5.10306090120150SE +/- 0.03, N = 3155.791. (CXX) g++ options: -O3 -march=native -std=c++11 -lpthread
OpenBenchmarking.orgMpx/s Per Watt, More Is BetterEtcpak 0.7Configuration: ETC2Linux 5.100.27450.5490.82351.0981.37251.22
MinAvgMaxLinux 5.10119.5127.2128.8OpenBenchmarking.orgWatts, Fewer Is BetterEtcpak 0.7CPU Power Consumption Monitor40801201602001. Linux 5.10: Approximate power consumption of 2248 Joules per run.

Cpuminer-Opt

Cpuminer-Opt is a fork of cpuminer-multi that carries a wide range of CPU performance optimizations for measuring the potential cryptocurrency mining performance of the CPU/processor with a wide variety of cryptocurrencies. The benchmark reports the hash speed for the CPU mining performance for the selected cryptocurrency. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.15.5Algorithm: Quad SHA-256, PyriteLinux 5.1060K120K180K240K300KSE +/- 1776.67, N = 33013731. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.15.5Algorithm: Quad SHA-256, PyriteLinux 5.1050010001500200025002415.21
MinAvgMaxLinux 5.10120.0124.8132.0OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.15.5CPU Power Consumption Monitor40801201602001. Linux 5.10: Approximate power consumption of 2204 Joules per run.

LZ4 Compression

This test measures the time needed to compress/decompress a sample file (an Ubuntu ISO) using LZ4 compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Decompression SpeedLinux 5.102K4K6K8K10KSE +/- 46.95, N = 311264.41. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s Per Watt, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Decompression SpeedLinux 5.102040608010081.53
MinAvgMaxLinux 5.10120.6138.2144.5OpenBenchmarking.orgWatts, Fewer Is BetterLZ4 Compression 1.9.3CPU Power Consumption Monitor40801201602001. Linux 5.10: Approximate power consumption of 2441 Joules per run.

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Compression SpeedLinux 5.102K4K6K8K10KSE +/- 75.81, N = 39668.501. (CC) gcc options: -O3

Zstd Compression

This test measures the time needed to compress a sample file (an Ubuntu ISO) using Zstd compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 3Linux 5.102K4K6K8K10KSE +/- 59.38, N = 38195.31. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s Per Watt, More Is BetterZstd Compression 1.4.5Compression Level: 3Linux 5.10122436486053.66
MinAvgMaxLinux 5.10120.6152.7196.5OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.4.5CPU Power Consumption Monitor501001502002501. Linux 5.10: Approximate power consumption of 2596 Joules per run.

John The Ripper

This is a benchmark of John The Ripper, which is a password cracker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: BlowfishLinux 5.1016K32K48K64K80KSE +/- 25.05, N = 3726261. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -pthread -lm -lz -ldl -lcrypt -lbz2
OpenBenchmarking.orgReal C/S Per Watt, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: BlowfishLinux 5.104080120160200186.71
MinAvgMaxLinux 5.10121.6389.0431.8OpenBenchmarking.orgWatts, Fewer Is BetterJohn The Ripper 1.9.0-jumbo-1CPU Power Consumption Monitor1102203304405501. Linux 5.10: Approximate power consumption of 6742 Joules per run.

ASKAP

This is a CUDA benchmark of ATNF's ASKAP Benchmark with currently using the tConvolveCuda sub-test. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 2018-11-10Test: tConvolve MPI - DegriddingLinux 5.103K6K9K12K15KSE +/- 3.70, N = 311918.21. (CXX) g++ options: -lpthread
OpenBenchmarking.orgMillion Grid Points Per Second Per Watt, More Is BetterASKAP 2018-11-10Test: tConvolve MPI - DegriddingLinux 5.1081624324035.62
MinAvgMaxLinux 5.10121.6334.5455.5OpenBenchmarking.orgWatts, Fewer Is BetterASKAP 2018-11-10CPU Power Consumption Monitor1202403604806001. Linux 5.10: Approximate power consumption of 5687 Joules per run.

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 2018-11-10Test: tConvolve MPI - GriddingLinux 5.1016003200480064008000SE +/- 3.88, N = 37498.711. (CXX) g++ options: -lpthread

QMCPACK

QMCPACK is a modern high-performance open-source Quantum Monte Carlo (QMC) simulation code making use of MPI for this benchmark of the H20 example code. QMCPACK is an open-source production level many-body ab initio Quantum Monte Carlo code for computing the electronic structure of atoms, molecules, and solids. QMCPACK is supported by the U.S. Department of Energy. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Execution Time - Seconds, Fewer Is BetterQMCPACK 3.10Input: simple-H2OLinux 5.10714212835SE +/- 0.04, N = 329.481. (CXX) g++ options: -fopenmp -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -march=native -O3 -fomit-frame-pointer -ffast-math -pthread -lm
MinAvgMaxLinux 5.10120.8439.0490.5OpenBenchmarking.orgWatts, Fewer Is BetterQMCPACK 3.10CPU Power Consumption Monitor1302603905206501. Linux 5.10: Approximate power consumption of 7609 Joules per run.

Google SynthMark

SynthMark is a cross platform tool for benchmarking CPU performance under a variety of real-time audio workloads. It uses a polyphonic synthesizer model to provide standardized tests for latency, jitter and computational throughput. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgVoices, More Is BetterGoogle SynthMark 20201109Test: VoiceMark_100Linux 5.10150300450600750SE +/- 0.08, N = 3715.501. (CXX) g++ options: -lm -lpthread -std=c++11 -Ofast
OpenBenchmarking.orgVoices Per Watt, More Is BetterGoogle SynthMark 20201109Test: VoiceMark_100Linux 5.101.25782.51563.77345.03126.2895.59
MinAvgMaxLinux 5.10120.8128.0138.0OpenBenchmarking.orgWatts, Fewer Is BetterGoogle SynthMark 20201109CPU Power Consumption Monitor40801201602001. Linux 5.10: Approximate power consumption of 2176 Joules per run.

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 30MLinux 5.10510152025SE +/- 0.08, N = 318.321. (CXX) g++ options: -std=c++11 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm
MinAvgMaxLinux 5.10120.9309.6472.0OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 8CPU Power Consumption Monitor1202403604806001. Linux 5.10: Approximate power consumption of 5160 Joules per run.

Nebular Empirical Analysis Tool

NEAT is the Nebular Empirical Analysis Tool for empirical analysis of ionised nebulae, with uncertainty propagation. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNebular Empirical Analysis Tool 2020-02-29Linux 5.10714212835SE +/- 0.32, N = 328.271. (F9X) gfortran options: -cpp -ffree-line-length-0 -Jsource/ -fopenmp -O3 -fno-backtrace
MinAvgMaxLinux 5.10121.0174.6280.6OpenBenchmarking.orgWatts, Fewer Is BetterNebular Empirical Analysis Tool 2020-02-29CPU Power Consumption Monitor701402102803501. Linux 5.10: Approximate power consumption of 2793 Joules per run.

Cython Benchmark

Cython provides a superset of Python that is geared to deliver C-like levels of performance. This test profile makes use of Cython's bundled benchmark tests and runs an N-Queens sample test as a simple benchmark to the system's Cython performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterCython Benchmark 0.29.21Test: N-QueensLinux 5.10612182430SE +/- 0.28, N = 326.89
MinAvgMaxLinux 5.10119.8130.1131.7OpenBenchmarking.orgWatts, Fewer Is BetterCython Benchmark 0.29.21CPU Power Consumption Monitor40801201602001. Linux 5.10: Approximate power consumption of 1994 Joules per run.

TTSIOD 3D Renderer

A portable GPL 3D software renderer that supports OpenMP and Intel Threading Building Blocks with many different rendering modes. This version does not use OpenGL but is entirely CPU/software based. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterTTSIOD 3D Renderer 2.3bPhong Rendering With Soft-Shadow MappingLinux 5.10160320480640800SE +/- 10.33, N = 3726.871. (CXX) g++ options: -O3 -fomit-frame-pointer -ffast-math -mtune=native -flto -msse -mrecip -mfpmath=sse -msse2 -mssse3 -lSDL -fopenmp -fwhole-program -lstdc++
OpenBenchmarking.orgFPS Per Watt, More Is BetterTTSIOD 3D Renderer 2.3bPhong Rendering With Soft-Shadow MappingLinux 5.100.67281.34562.01842.69123.3642.99
MinAvgMaxLinux 5.10120.6243.0267.1OpenBenchmarking.orgWatts, Fewer Is BetterTTSIOD 3D Renderer 2.3bCPU Power Consumption Monitor701402102803501. Linux 5.10: Approximate power consumption of 3483 Joules per run.

OSPray

Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific visualizations. OSPray builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: SciVisLinux 5.103691215SE +/- 0.04, N = 311.19MIN: 9.35 / MAX: 11.36
OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: SciVisLinux 5.100.00680.01360.02040.02720.0340.03
MinAvgMaxLinux 5.10119.9376.6489.9OpenBenchmarking.orgWatts, Fewer Is BetterOSPray 1.8.5CPU Power Consumption Monitor1302603905206501. Linux 5.10: Approximate power consumption of 5272 Joules per run.

IOR

IOR is a parallel I/O storage benchmark making use of MPI with a particular focus on HPC (High Performance Computing) systems. IOR is developed at the Lawrence Livermore National Laboratory (LLNL). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterIOR 3.3.0Block Size: 2MB - Disk Target: Default Test DirectoryLinux 5.10110220330440550SE +/- 1.76, N = 3517.13MIN: 453.79 / MAX: 894.751. (CC) gcc options: -O2 -lm -pthread -lmpi
OpenBenchmarking.orgMB/s Per Watt, More Is BetterIOR 3.3.0Block Size: 2MB - Disk Target: Default Test DirectoryLinux 5.100.5941.1881.7822.3762.972.64
MinAvgMaxLinux 5.10119.6195.8215.9OpenBenchmarking.orgWatts, Fewer Is BetterIOR 3.3.0CPU Power Consumption Monitor601201802403001. Linux 5.10: Approximate power consumption of 2545 Joules per run.

OSPray

Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific visualizations. OSPray builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: Path TracerLinux 5.1048121620SE +/- 0.00, N = 416.39MIN: 10.64 / MAX: 16.95
OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: Path TracerLinux 5.100.01130.02260.03390.04520.05650.05
MinAvgMaxLinux 5.10120.8355.5488.0OpenBenchmarking.orgWatts, Fewer Is BetterOSPray 1.8.5CPU Power Consumption Monitor1302603905206501. Linux 5.10: Approximate power consumption of 3644 Joules per run.

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPULinux 5.100.5241.0481.5722.0962.62SE +/- 0.02538, N = 32.32899MIN: 1.931. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
MinAvgMaxLinux 5.10121.1285.5453.6OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 2.0CPU Power Consumption Monitor1202403604806001. Linux 5.10: Approximate power consumption of 3616 Joules per run.

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 1.2Linux 5.10300M600M900M1200M1500MSE +/- 5378401.14, N = 314300506671. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -pthread -lmpi
OpenBenchmarking.orgFigure Of Merit Per Watt, More Is BetterAlgebraic Multi-Grid Benchmark 1.2Linux 5.101000K2000K3000K4000K5000K4526240.72
MinAvgMaxLinux 5.10119.6315.9403.9OpenBenchmarking.orgWatts, Fewer Is BetterAlgebraic Multi-Grid Benchmark 1.2CPU Power Consumption Monitor1102203304405501. Linux 5.10: Approximate power consumption of 3791 Joules per run.

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 v2Linux 5.1060120180240300SE +/- 0.66, N = 3291.43MIN: 283.33 / MAX: 459.621. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
MinAvgMaxLinux 5.10120.3142.9154.3OpenBenchmarking.orgWatts, Fewer Is BetterTNN 0.2.3CPU Power Consumption Monitor40801201602001. Linux 5.10: Approximate power consumption of 1762 Joules per run.

SVT-AV1

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-AV1 CPU-based multi-threaded video encoder for the AV1 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 4 - Input: 1080pLinux 5.10246810SE +/- 0.018, N = 47.6631. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 4 - Input: 1080pLinux 5.100.00680.01360.02040.02720.0340.03
MinAvgMaxLinux 5.10120.0226.4502.0OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 0.8CPU Power Consumption Monitor1302603905206501. Linux 5.10: Approximate power consumption of 2151 Joules per run.

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPULinux 5.100.35320.70641.05961.41281.766SE +/- 0.00943, N = 41.56970MIN: 1.311. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
MinAvgMaxLinux 5.10120.6276.4468.9OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 2.0CPU Power Consumption Monitor1202403604806001. Linux 5.10: Approximate power consumption of 2695 Joules per run.

Etcpak

Etcpack is the self-proclaimed "fastest ETC compressor on the planet" with focused on providing open-source, very fast ETC and S3 texture compression support. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMpx/s, More Is BetterEtcpak 0.7Configuration: ETC1 + DitheringLinux 5.1050100150200250SE +/- 0.11, N = 3245.501. (CXX) g++ options: -O3 -march=native -std=c++11 -lpthread
OpenBenchmarking.orgMpx/s Per Watt, More Is BetterEtcpak 0.7Configuration: ETC1 + DitheringLinux 5.100.4320.8641.2961.7282.161.92
MinAvgMaxLinux 5.10119.6127.8129.5OpenBenchmarking.orgWatts, Fewer Is BetterEtcpak 0.7CPU Power Consumption Monitor40801201602001. Linux 5.10: Approximate power consumption of 1533 Joules per run.

Tachyon

This is a test of the threaded Tachyon, a parallel ray-tracing system, measuring the time to ray-trace a sample scene. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTachyon 0.99b6Total TimeLinux 5.1048121620SE +/- 0.04, N = 318.121. (CC) gcc options: -m64 -O3 -fomit-frame-pointer -ffast-math -ltachyon -lm -lpthread
MinAvgMaxLinux 5.10119.6402.4492.0OpenBenchmarking.orgWatts, Fewer Is BetterTachyon 0.99b6CPU Power Consumption Monitor1302603905206501. Linux 5.10: Approximate power consumption of 4695 Joules per run.

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: SqueezeNet v1.1Linux 5.1060120180240300SE +/- 0.07, N = 3274.28MIN: 273.58 / MAX: 275.281. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
MinAvgMaxLinux 5.10120.0128.9131.2OpenBenchmarking.orgWatts, Fewer Is BetterTNN 0.2.3CPU Power Consumption Monitor40801201602001. Linux 5.10: Approximate power consumption of 1504 Joules per run.

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CLinux 5.1030K60K90K120K150KSE +/- 547.25, N = 4152840.601. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.0.3
OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CLinux 5.10100200300400500449.55
MinAvgMaxLinux 5.10120.5340.0405.4OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor1102203304405501. Linux 5.10: Approximate power consumption of 3060 Joules per run.

Dolfyn

Dolfyn is a Computational Fluid Dynamics (CFD) code of modern numerical simulation techniques. The Dolfyn test profile measures the execution time of the bundled computational fluid dynamics demos that are bundled with Dolfyn. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid DynamicsLinux 5.10510152025SE +/- 0.01, N = 318.71
MinAvgMaxLinux 5.10119.7130.0133.0OpenBenchmarking.orgWatts, Fewer Is BetterDolfyn 0.527CPU Power Consumption Monitor40801201602001. Linux 5.10: Approximate power consumption of 1473 Joules per run.

Etcpak

Etcpack is the self-proclaimed "fastest ETC compressor on the planet" with focused on providing open-source, very fast ETC and S3 texture compression support. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMpx/s, More Is BetterEtcpak 0.7Configuration: ETC1Linux 5.1060120180240300SE +/- 0.24, N = 3267.321. (CXX) g++ options: -O3 -march=native -std=c++11 -lpthread
OpenBenchmarking.orgMpx/s Per Watt, More Is BetterEtcpak 0.7Configuration: ETC1Linux 5.100.47480.94961.42441.89922.3742.11
MinAvgMaxLinux 5.10119.4126.9130.2OpenBenchmarking.orgWatts, Fewer Is BetterEtcpak 0.7CPU Power Consumption Monitor40801201602001. Linux 5.10: Approximate power consumption of 1439 Joules per run.

POV-Ray

This is a test of POV-Ray, the Persistence of Vision Raytracer. POV-Ray is used to create 3D graphics using ray-tracing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPOV-Ray 3.7.0.7Trace TimeLinux 5.103691215SE +/- 0.07, N = 411.411. (CXX) g++ options: -pipe -O3 -ffast-math -march=native -pthread -lSDL -lSM -lICE -lX11 -lIlmImf -lIlmImf-2_5 -lImath-2_5 -lHalf-2_5 -lIex-2_5 -lIexMath-2_5 -lIlmThread-2_5 -lIlmThread -ltiff -ljpeg -lpng -lz -lrt -lm -lboost_thread -lboost_system
MinAvgMaxLinux 5.10121.5328.0491.9OpenBenchmarking.orgWatts, Fewer Is BetterPOV-Ray 3.7.0.7CPU Power Consumption Monitor1302603905206501. Linux 5.10: Approximate power consumption of 2870 Joules per run.

ASTC Encoder

ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ThoroughLinux 5.101.28032.56063.84095.12126.4015SE +/- 0.00, N = 55.691. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
MinAvgMaxLinux 5.10121.7251.0492.0OpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 2.0CPU Power Consumption Monitor1302603905206501. Linux 5.10: Approximate power consumption of 1857 Joules per run.

Rodinia

Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP StreamclusterLinux 5.103691215SE +/- 0.08, N = 510.601. (CXX) g++ options: -O2 -lOpenCL
MinAvgMaxLinux 5.10120.2217.9281.6OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 3.1CPU Power Consumption Monitor701402102803501. Linux 5.10: Approximate power consumption of 1612 Joules per run.

LULESH

LULESH is the Livermore Unstructured Lagrangian Explicit Shock Hydrodynamics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.3Linux 5.104K8K12K16K20KSE +/- 149.06, N = 518424.981. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgz/s Per Watt, More Is BetterLULESH 2.0.3Linux 5.102040608010075.06
MinAvgMaxLinux 5.10121.5245.5339.0OpenBenchmarking.orgWatts, Fewer Is BetterLULESH 2.0.3CPU Power Consumption Monitor801602403204001. Linux 5.10: Approximate power consumption of 1767 Joules per run.

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: TradebeansLinux 5.1013002600390052006500SE +/- 65.72, N = 46032
MinAvgMaxLinux 5.10119.6140.2192.3OpenBenchmarking.orgWatts, Fewer Is BetterDaCapo Benchmark 9.12-MR1CPU Power Consumption Monitor501001502002501. Linux 5.10: Approximate power consumption of 1157 Joules per run.

Redis

Redis is an open-source in-memory data structure store, used as a database, cache, and message broker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SADDLinux 5.10300K600K900K1200K1500KSE +/- 16159.15, N = 31563597.661. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second Per Watt, More Is BetterRedis 6.0.9Test: SADDLinux 5.103K6K9K12K15K12654.69
MinAvgMaxLinux 5.10119.7123.6132.2OpenBenchmarking.orgWatts, Fewer Is BetterRedis 6.0.9CPU Power Consumption Monitor40801201602001. Linux 5.10: Approximate power consumption of 1318 Joules per run.

x265

This is a simple test of the x265 encoder run on the CPU with 1080p and 4K options for H.265 video encode performance with x265. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 1080pLinux 5.101122334455SE +/- 0.26, N = 448.481. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterx265 3.4Video Input: Bosphorus 1080pLinux 5.100.06530.13060.19590.26120.32650.29
MinAvgMaxLinux 5.10120.7164.8201.7OpenBenchmarking.orgWatts, Fewer Is Betterx265 3.4CPU Power Consumption Monitor501001502002501. Linux 5.10: Approximate power consumption of 1360 Joules per run.

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPULinux 5.100.11680.23360.35040.46720.584SE +/- 0.004888, N = 40.519015MIN: 0.431. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
MinAvgMaxLinux 5.10120.6275.1438.8OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 2.0CPU Power Consumption Monitor1202403604806001. Linux 5.10: Approximate power consumption of 2270 Joules per run.

Rodinia

Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD SolverLinux 5.10246810SE +/- 0.055, N = 68.1091. (CXX) g++ options: -O2 -lOpenCL
MinAvgMaxLinux 5.10121.0232.9358.9OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 3.1CPU Power Consumption Monitor1002003004005001. Linux 5.10: Approximate power consumption of 1437 Joules per run.

SVT-VP9

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: Visual Quality Optimized - Input: Bosphorus 1080pLinux 5.1070140210280350SE +/- 10.05, N = 15315.241. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-VP9 0.1Tuning: Visual Quality Optimized - Input: Bosphorus 1080pLinux 5.100.3870.7741.1611.5481.9351.72
MinAvgMaxLinux 5.10119.2183.3375.7OpenBenchmarking.orgWatts, Fewer Is BetterSVT-VP9 0.1CPU Power Consumption Monitor1002003004005001. Linux 5.10: Approximate power consumption of 648 Joules per run.

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: f32 - Engine: CPULinux 5.100.19990.39980.59970.79960.9995SE +/- 0.002999, N = 50.888428MIN: 0.771. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
MinAvgMaxLinux 5.10120.6232.9409.6OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 2.0CPU Power Consumption Monitor1102203304405501. Linux 5.10: Approximate power consumption of 1584 Joules per run.

FFTE

FFTE is a package by Daisuke Takahashi to compute Discrete Fourier Transforms of 1-, 2- and 3- dimensional sequences of length (2^p)*(3^q)*(5^r). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineLinux 5.1040K80K120K160K200KSE +/- 1647.45, N = 15182254.441. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
OpenBenchmarking.orgMFLOPS Per Watt, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineLinux 5.10150300450600750674.49
MinAvgMaxLinux 5.10121.3270.2480.7OpenBenchmarking.orgWatts, Fewer Is BetterFFTE 7.0CPU Power Consumption Monitor1202403604806001. Linux 5.10: Approximate power consumption of 955 Joules per run.

OSPray

Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific visualizations. OSPray builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: Magnetic Reconnection - Renderer: SciVisLinux 5.10816243240SE +/- 0.23, N = 632.62MIN: 12.05 / MAX: 34.48
OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: Magnetic Reconnection - Renderer: SciVisLinux 5.100.02250.0450.06750.090.11250.10
MinAvgMaxLinux 5.10119.5312.9449.7OpenBenchmarking.orgWatts, Fewer Is BetterOSPray 1.8.5CPU Power Consumption Monitor1202403604806001. Linux 5.10: Approximate power consumption of 1825 Joules per run.

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPULinux 5.100.54031.08061.62092.16122.7015SE +/- 0.04803, N = 152.40112MIN: 1.961. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
MinAvgMaxLinux 5.10120.7255.3477.2OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 2.0CPU Power Consumption Monitor1202403604806001. Linux 5.10: Approximate power consumption of 919 Joules per run.

SVT-AV1

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-AV1 CPU-based multi-threaded video encoder for the AV1 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 8 - Input: 1080pLinux 5.101530456075SE +/- 0.13, N = 568.891. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 8 - Input: 1080pLinux 5.100.07650.1530.22950.3060.38250.34
MinAvgMaxLinux 5.10120.9204.1384.3OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 0.8CPU Power Consumption Monitor1002003004005001. Linux 5.10: Approximate power consumption of 1347 Joules per run.

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPULinux 5.100.19630.39260.58890.78520.9815SE +/- 0.003739, N = 70.872441MIN: 0.791. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
MinAvgMaxLinux 5.10121.5328.9491.8OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 2.0CPU Power Consumption Monitor1302603905206501. Linux 5.10: Approximate power consumption of 1692 Joules per run.

Intel Open Image Denoise

Open Image Denoise is a denoising library for ray-tracing and part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.2.0Scene: MemorialLinux 5.10714212835SE +/- 0.06, N = 628.51
OpenBenchmarking.orgImages / Sec Per Watt, More Is BetterIntel Open Image Denoise 1.2.0Scene: MemorialLinux 5.100.0180.0360.0540.0720.090.08
MinAvgMaxLinux 5.10119.5347.4487.5OpenBenchmarking.orgWatts, Fewer Is BetterIntel Open Image Denoise 1.2.0CPU Power Consumption Monitor1302603905206501. Linux 5.10: Approximate power consumption of 1969 Joules per run.

Tungsten Renderer

Tungsten is a C++ physically based renderer that makes use of Intel's Embree ray tracing library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: HairLinux 5.10246810SE +/- 0.03288, N = 66.696341. (CXX) g++ options: -std=c++0x -march=znver1 -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl
MinAvgMaxLinux 5.10120.2289.5491.8OpenBenchmarking.orgWatts, Fewer Is BetterTungsten Renderer 0.2.2CPU Power Consumption Monitor1302603905206501. Linux 5.10: Approximate power consumption of 1592 Joules per run.

OSPray

Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific visualizations. OSPray builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: SciVisLinux 5.101632486480SE +/- 0.00, N = 771.43MIN: 21.74 / MAX: 76.92
OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: SciVisLinux 5.100.0630.1260.1890.2520.3150.28
MinAvgMaxLinux 5.10121.3258.3481.5OpenBenchmarking.orgWatts, Fewer Is BetterOSPray 1.8.5CPU Power Consumption Monitor1202403604806001. Linux 5.10: Approximate power consumption of 1292 Joules per run.

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: JythonLinux 5.1011002200330044005500SE +/- 47.90, N = 64951
MinAvgMaxLinux 5.10119.8136.7189.0OpenBenchmarking.orgWatts, Fewer Is BetterDaCapo Benchmark 9.12-MR1CPU Power Consumption Monitor501001502002501. Linux 5.10: Approximate power consumption of 729 Joules per run.

Tungsten Renderer

Tungsten is a C++ physically based renderer that makes use of Intel's Embree ray tracing library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: Volumetric CausticLinux 5.101.19522.39043.58564.78085.976SE +/- 0.03115, N = 75.312021. (CXX) g++ options: -std=c++0x -march=znver1 -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl
MinAvgMaxLinux 5.10119.9245.4358.1OpenBenchmarking.orgWatts, Fewer Is BetterTungsten Renderer 0.2.2CPU Power Consumption Monitor1002003004005001. Linux 5.10: Approximate power consumption of 1157 Joules per run.

Primesieve

Primesieve generates prime numbers using a highly optimized sieve of Eratosthenes implementation. Primesieve benchmarks the CPU's L1/L2 cache performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 7.41e12 Prime Number GenerationLinux 5.101.03772.07543.11314.15085.1885SE +/- 0.012, N = 84.6121. (CXX) g++ options: -O3 -lpthread
MinAvgMaxLinux 5.10121.0304.7492.0OpenBenchmarking.orgWatts, Fewer Is BetterPrimesieve 7.4CPU Power Consumption Monitor1302603905206501. Linux 5.10: Approximate power consumption of 1333 Joules per run.

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: Summer Nature 4KLinux 5.1070140210280350SE +/- 1.19, N = 3310.21MIN: 160.01 / MAX: 335.181. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS Per Watt, More Is Betterdav1d 0.8.1Video Input: Summer Nature 4KLinux 5.100.38250.7651.14751.531.91251.70
MinAvgMaxLinux 5.10119.6182.2327.5OpenBenchmarking.orgWatts, Fewer Is Betterdav1d 0.8.1CPU Power Consumption Monitor801602403204001. Linux 5.10: Approximate power consumption of 3158 Joules per run.

Tungsten Renderer

Tungsten is a C++ physically based renderer that makes use of Intel's Embree ray tracing library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: Non-ExponentialLinux 5.100.87331.74662.61993.49324.3665SE +/- 0.02638, N = 83.881341. (CXX) g++ options: -std=c++0x -march=znver1 -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl
MinAvgMaxLinux 5.10119.8220.5358.2OpenBenchmarking.orgWatts, Fewer Is BetterTungsten Renderer 0.2.2CPU Power Consumption Monitor1002003004005001. Linux 5.10: Approximate power consumption of 882 Joules per run.

SVT-VP9

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: VMAF Optimized - Input: Bosphorus 1080pLinux 5.1080160240320400SE +/- 1.89, N = 10357.421. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-VP9 0.1Tuning: VMAF Optimized - Input: Bosphorus 1080pLinux 5.100.45680.91361.37041.82722.2842.03
MinAvgMaxLinux 5.10119.6176.2353.7OpenBenchmarking.orgWatts, Fewer Is BetterSVT-VP9 0.1CPU Power Consumption Monitor1002003004005001. Linux 5.10: Approximate power consumption of 599 Joules per run.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pLinux 5.1080160240320400SE +/- 2.11, N = 10365.961. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-VP9 0.1Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pLinux 5.100.47030.94061.41091.88122.35152.09
MinAvgMaxLinux 5.10119.6174.7358.6OpenBenchmarking.orgWatts, Fewer Is BetterSVT-VP9 0.1CPU Power Consumption Monitor1002003004005001. Linux 5.10: Approximate power consumption of 594 Joules per run.

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.CLinux 5.108001600240032004000SE +/- 4.54, N = 103825.271. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.0.3
OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.CLinux 5.104812162017.52
MinAvgMaxLinux 5.10120.5218.3411.3OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor1102203304405501. Linux 5.10: Approximate power consumption of 742 Joules per run.

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 ProteinLinux 5.10612182430SE +/- 0.23, N = 1523.571. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day Per Watt, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin ProteinLinux 5.100.02930.05860.08790.11720.14650.13
MinAvgMaxLinux 5.10120.2179.3402.9OpenBenchmarking.orgWatts, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020CPU Power Consumption Monitor1102203304405501. Linux 5.10: Approximate power consumption of 502 Joules per run.

OSPray

Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific visualizations. OSPray builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: Magnetic Reconnection - Renderer: Path TracerLinux 5.1050100150200250250MIN: 100 / MAX: 333.33
OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: Magnetic Reconnection - Renderer: Path TracerLinux 5.100.35780.71561.07341.43121.7891.59
MinAvgMaxLinux 5.10120.0157.6252.9OpenBenchmarking.orgWatts, Fewer Is BetterOSPray 1.8.5CPU Power Consumption Monitor70140210280350

TSCP

This is a performance test of TSCP, Tom Kerrigan's Simple Chess Program, which has a built-in performance benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterTSCP 1.81AI Chess PerformanceLinux 5.10200K400K600K800K1000KSE +/- 516.70, N = 1211151251. (CC) gcc options: -O3 -march=native
OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterTSCP 1.81AI Chess PerformanceLinux 5.102K4K6K8K10K9041.42
MinAvgMaxLinux 5.10120.4123.3130.1OpenBenchmarking.orgWatts, Fewer Is BetterTSCP 1.81CPU Power Consumption Monitor40801201602001. Linux 5.10: Approximate power consumption of 339 Joules per run.

CPU Power Consumption Monitor

OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System MonitoringLinux 5.1090180270360450Min: 119.15 / Avg: 269.81 / Max: 501.96

Meta Performance Per Watts

OpenBenchmarking.orgPerformance Per Watts, More Is BetterMeta Performance Per WattsPerformance Per WattsLinux 5.1050010001500200025002434.76

BlogBench

BlogBench is designed to replicate the load of a real-world busy file server by stressing the file-system with multiple threads of random reads, writes, and rewrites. The behavior is mimicked of that of a blog by creating blogs with content and pictures, modifying blog posts, adding comments to these blogs, and then reading the content of the blogs. All of these blogs generated are created locally with fake content and pictures. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFinal Score, More Is BetterBlogBench 1.1Test: WriteLinux 5.107K14K21K28K35KSE +/- 1791.98, N = 3313101. (CC) gcc options: -O2 -pthread

197 Results Shown

Quantum ESPRESSO
FFTW
NCNN:
  CPU - regnety_400m
  CPU - squeezenet_ssd
  CPU - yolov4-tiny
  CPU - resnet50
  CPU - alexnet
  CPU - resnet18
  CPU - vgg16
  CPU - googlenet
  CPU - blazeface
  CPU - efficientnet-b0
  CPU - mnasnet
  CPU - shufflenet-v2
  CPU-v3-v3 - mobilenet-v3
  CPU-v2-v2 - mobilenet-v2
  CPU - mobilenet
PlaidML
Mobile Neural Network:
  inception-v3
  mobilenet-v1-1.0
  MobileNetV2_224
  resnet-v2-50
  SqueezeNetV1.0
ONNX Runtime:
  fcn-resnet101-11 - OpenMP CPU
  yolov4 - OpenMP CPU
  shufflenet-v2-10 - OpenMP CPU
  super-resolution-10 - OpenMP CPU
PlaidML
YafaRay
Apache Cassandra
AI Benchmark Alpha:
  Device AI Score
  Device Training Score
  Device Inference Score
oneDNN
BlogBench
oneDNN
Apache Siege
ONNX Runtime
LeelaChessZero:
  Eigen
  BLAS
RELION
LAMMPS Molecular Dynamics Simulator
BRL-CAD
LZ4 Compression:
  9 - Decompression Speed
  9 - Compression Speed
TensorFlow Lite:
  NASNet Mobile
  Mobilenet Float
Rodinia
Numpy Benchmark
Kripke
Hierarchical INTegration
Apache Siege
CLOMP
Gcrypt Library
SVT-AV1
Timed LLVM Compilation
Zstd Compression
OpenFOAM
Caffe
PostgreSQL pgbench:
  100 - 100 - Read Write - Average Latency
  100 - 100 - Read Write
  100 - 250 - Read Write - Average Latency
  100 - 250 - Read Write
Blender
Cpuminer-Opt:
  Skeincoin
  x25x
  Deepcoin
  LBC, LBRY Credits
High Performance Conjugate Gradient
Cpuminer-Opt:
  Magi
  Myriad-Groestl
asmFish
PostgreSQL pgbench:
  1000 - 250 - Read Write - Average Latency
  1000 - 250 - Read Write
Cpuminer-Opt:
  Garlicoin
  Ringcoin
InfluxDB
Tungsten Renderer
Cpuminer-Opt:
  Triple SHA-256, Onecoin
  Blake-2 S
BYTE Unix Benchmark
Timed Linux Kernel Compilation
Caffe
Timed GDB GNU Debugger Compilation
dav1d
Rodinia
PlaidML
InfluxDB
Redis
CloverLeaf
IOR
Timed MrBayes Analysis
TensorFlow Lite
Redis
DaCapo Benchmark
OSPray
GnuPG
DaCapo Benchmark
simdjson
KeyDB
SQLite Speedtest
Chaos Group V-RAY
Build2
FinanceBench
LZ4 Compression:
  3 - Decompression Speed
  3 - Compression Speed
LuxCoreRender
TensorFlow Lite
Timed Godot Game Engine Compilation
TensorFlow Lite
LuxCoreRender
TensorFlow Lite
GPAW
John The Ripper
rav1e
simdjson
rav1e
Himeno Benchmark
Redis
simdjson:
  PartialTweets
  DistinctUserID
Rodinia
FinanceBench
ASTC Encoder
rav1e
GROMACS
OSPray
Redis
NAMD
NAS Parallel Benchmarks
QuantLib
Stockfish
Swet
OSPray
rav1e
x265
Etcpak
Cpuminer-Opt
LZ4 Compression:
  1 - Decompression Speed
  1 - Compression Speed
Zstd Compression
John The Ripper
ASKAP:
  tConvolve MPI - Degridding
  tConvolve MPI - Gridding
QMCPACK
Google SynthMark
OpenFOAM
Nebular Empirical Analysis Tool
Cython Benchmark
TTSIOD 3D Renderer
OSPray
IOR
OSPray
oneDNN
Algebraic Multi-Grid Benchmark
TNN
SVT-AV1
oneDNN
Etcpak
Tachyon
TNN
NAS Parallel Benchmarks
Dolfyn
Etcpak
POV-Ray
ASTC Encoder
Rodinia
LULESH
DaCapo Benchmark
Redis
x265
oneDNN
Rodinia
SVT-VP9
oneDNN
FFTE
OSPray
oneDNN
SVT-AV1
oneDNN
Intel Open Image Denoise
Tungsten Renderer
OSPray
DaCapo Benchmark
Tungsten Renderer
Primesieve
dav1d
Tungsten Renderer
SVT-VP9:
  VMAF Optimized - Bosphorus 1080p
  PSNR/SSIM Optimized - Bosphorus 1080p
NAS Parallel Benchmarks
LAMMPS Molecular Dynamics Simulator
OSPray
TSCP
CPU Power Consumption Monitor:
  Phoronix Test Suite System Monitoring
  Performance Per Watts
BlogBench

Linux 5.10

Processor: 2 x AMD EPYC 7F72 24-Core @ 3.20GHz (48 Cores / 96 Threads), Motherboard: Supermicro H11DSi-NT v2.00 (2.1 BIOS), Chipset: AMD Starship/Matisse, Memory: 16 x 8192 MB DDR4-3200MT/s HMA81GR7CJR8N-XN, Disk: 1000GB Western Digital WD_BLACK SN850 1TB, Graphics: ASPEED, Monitor: VE228, Network: 2 x Intel 10G X550T

OS: Ubuntu 20.10, Kernel: 5.10.9-051009-generic (x86_64), Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.9, Display Driver: modesetting 1.20.9, Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --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
Disk Notes: NONE / errors=remount-ro,relatime,rw / Block Size: 4096
Processor Notes: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0x8301034
Java Notes: OpenJDK Runtime Environment (build 11.0.9.1+1-Ubuntu-0ubuntu1.20.10)
Python Notes: Python 3.8.6
Security Notes: 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: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 21 January 2021 20:11 by user root.