Ryzen 3 2200G 2021

AMD Ryzen 3 2200G testing with a ASUS PRIME B350M-E (5220 BIOS) and ASUS AMD Radeon Vega / Mobile 2GB 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 2101191-HA-RYZEN322022
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Audio Encoding 3 Tests
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Ryzen 3 2200G 2021ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen Resolution123AMD Ryzen 3 2200G @ 3.50GHz (4 Cores)ASUS PRIME B350M-E (5220 BIOS)AMD Raven/Raven26GBSamsung SSD 970 EVO 250GBASUS AMD Radeon Vega / Mobile 2GB (1100/1600MHz)AMD Raven/Raven2/FenghuangG237HLRealtek RTL8111/8168/8411Ubuntu 20.105.8.0-38-generic (x86_64)GNOME Shell 3.38.1X Server 1.20.9modesetting 1.20.94.6 Mesa 20.2.6 (LLVM 11.0.0)1.2.131GCC 10.2.0ext41920x1080OpenBenchmarking.orgCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details- Scaling Governor: acpi-cpufreq ondemand (Boost: Enabled) - CPU Microcode: 0x8101016 Graphics Details- GLAMORJava Details- OpenJDK Runtime Environment (build 11.0.9.1+1-Ubuntu-0ubuntu1.20.10)Python Details- Python 3.8.6Security Details- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected

123Result OverviewPhoronix Test Suite 10.4.0100%105%110%115%121%LeelaChessZeroRedisSunflow Rendering SystemNode.js V8 Web Tooling BenchmarkSockperfLULESHFFTELibRawGROMACSRNNoiseHuginOSBenchasmFishDarktableStockfishKeyDBCP2K Molecular DynamicsOpenFOAMNAMDTensorFlow LiteCraftyLAMMPS Molecular Dynamics SimulatorBYTE Unix BenchmarkTimed Godot Game Engine CompilationAOM AV1Zstd Compressionrav1eWarsowIncompact3DSQLite SpeedtestIndigoBenchLZ4 CompressionNumpy BenchmarkPHPBenchx265dav1dCoremarkDolfynMonte Carlo Simulations of Ionised NebulaeBasis UniversalWavPack Audio EncodingNCNNOCRMyPDFTimed Eigen CompilationTimed FFmpeg CompilationeSpeak-NG Speech EngineGoogle SynthMarkInfluxDBoneDNNCloverLeafTimed HMMer SearchAlgebraic Multi-Grid BenchmarkMobile Neural NetworkTimed MAFFT AlignmentTNNEmbreeMonkey Audio EncodingVKMarkRawTherapeeOpus Codec EncodingGIMPWaifu2x-NCNN VulkanUnpacking Firefoxyquake2ASTC EncoderRealSR-NCNNKvazaarHierarchical INTegrationGLmark2WebP Image EncodesimdjsonCaffeCLOMPBuild2

Ryzen 3 2200G 2021realsr-ncnn: 4x - Norealsr-ncnn: 4x - Yeswaifu2x-ncnn: 2x - 3 - Nowaifu2x-ncnn: 2x - 3 - Yeswarsow: 1920 x 1080yquake2: OpenGL 3.x - 1920 x 1080yquake2: Software CPU - 1920 x 1080glmark2: 1920 x 1080vkmark: 1920 x 1080sockperf: Throughputsockperf: Latency Ping Pongsockperf: Latency Under Loadosbench: Create Filesosbench: Create Threadsosbench: Launch Programsosbench: Create Processesosbench: Memory Allocationslczero: BLASlczero: Eigencloverleaf: Lagrangian-Eulerian Hydrodynamicscp2k: Fayalite-FIST Dataclomp: Static OMP Speedupnamd: ATPase Simulation - 327,506 Atomsdolfyn: Computational Fluid Dynamicsamg: ffte: N=256, 3D Complex FFT Routinehmmer: Pfam Database Searchincompact3d: Cylindermafft: Multiple Sequence Alignment - LSU RNAmocassin: Dust 2D tau100.0openfoam: Motorbike 30Mlammps: Rhodopsin Proteinlulesh: webp: Defaultwebp: Quality 100webp: Quality 100, Losslesswebp: Quality 100, Highest Compressionwebp: Quality 100, Lossless, Highest Compressionsimdjson: Kostyasimdjson: LargeRandsimdjson: PartialTweetssimdjson: DistinctUserIDbyte: Dhrystone 2compress-lz4: 1 - Compression Speedcompress-lz4: 1 - Decompression Speedcompress-lz4: 3 - Compression Speedcompress-lz4: 3 - Decompression Speedcompress-lz4: 9 - Compression Speedcompress-lz4: 9 - Decompression Speedcompress-zstd: 3compress-zstd: 19libraw: Post-Processing Benchmarkcrafty: Elapsed Timeonednn: IP Shapes 1D - f32 - CPUonednn: IP Shapes 3D - f32 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUdav1d: Chimera 1080pdav1d: Summer Nature 4Kdav1d: Summer Nature 1080pdav1d: Chimera 1080p 10-bitaom-av1: Speed 4 Two-Passaom-av1: Speed 6 Realtimeaom-av1: Speed 6 Two-Passaom-av1: Speed 8 Realtimeembree: Pathtracer - Crownembree: Pathtracer ISPC - Crownembree: Pathtracer - Asian Dragonembree: Pathtracer - Asian Dragon Objembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer ISPC - Asian Dragon Objkvazaar: Bosphorus 4K - Mediumkvazaar: Bosphorus 1080p - Mediumkvazaar: Bosphorus 4K - Very Fastkvazaar: Bosphorus 4K - Ultra Fastkvazaar: Bosphorus 1080p - Very Fastkvazaar: Bosphorus 1080p - Ultra Fastrav1e: 5rav1e: 6rav1e: 10x265: Bosphorus 4Kx265: Bosphorus 1080pcoremark: CoreMark Size 666 - Iterations Per Secondstockfish: Total Timeasmfish: 1024 Hash Memory, 26 Depthbuild-ffmpeg: Time To Compilebuild-godot: Time To Compilebuild2: Time To Compilenumpy: build-eigen: Time To Compileencode-ape: WAV To APEencode-opus: WAV To Opus Encodeespeak: Text-To-Speech Synthesisrnnoise: synthmark: VoiceMark_100node-web-tooling: keydb: gromacs: Water Benchmarktensorflow-lite: SqueezeNettensorflow-lite: Inception V4tensorflow-lite: NASNet Mobiletensorflow-lite: Mobilenet Floattensorflow-lite: Mobilenet Quanttensorflow-lite: Inception ResNet V2astcenc: Fastastcenc: Mediumastcenc: Thoroughastcenc: Exhaustivebasis: ETC1Sbasis: UASTC Level 0basis: UASTC Level 2sqlite-speedtest: Timed Time - Size 1,000darktable: Boat - CPU-onlydarktable: Masskrug - CPU-onlydarktable: Server Rack - CPU-onlydarktable: Server Room - CPU-onlygimp: resizegimp: rotategimp: auto-levelsgimp: unsharp-maskhugin: Panorama Photo Assistant + Stitching Timeocrmypdf: Processing 60 Page PDF Documentrawtherapee: Total Benchmark Timeredis: LPOPredis: SADDredis: LPUSHredis: GETredis: SETcaffe: AlexNet - CPU - 100caffe: GoogleNet - CPU - 100mnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3ncnn: CPU - mobilenetncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU - shufflenet-v2ncnn: CPU - mnasnetncnn: CPU - efficientnet-b0ncnn: CPU - blazefacencnn: CPU - googlenetncnn: CPU - vgg16ncnn: CPU - resnet18ncnn: CPU - alexnetncnn: CPU - resnet50ncnn: CPU - yolov4-tinyncnn: CPU - squeezenet_ssdncnn: CPU - regnety_400mncnn: Vulkan GPU - mobilenetncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU - shufflenet-v2ncnn: Vulkan GPU - mnasnetncnn: Vulkan GPU - efficientnet-b0ncnn: Vulkan GPU - blazefacencnn: Vulkan GPU - googlenetncnn: Vulkan GPU - vgg16ncnn: Vulkan GPU - resnet18ncnn: Vulkan GPU - alexnetncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - yolov4-tinyncnn: Vulkan GPU - squeezenet_ssdncnn: Vulkan GPU - regnety_400mtnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.1indigobench: CPU - Bedroomindigobench: CPU - Supercarhint: FLOATphpbench: PHP Benchmark Suiteencode-wavpack: WAV To WavPacksunflow: Global Illumination + Image Synthesisunpack-firefox: firefox-84.0.source.tar.xzkripke: influxdb: 4 - 10000 - 2,5000,1 - 10000influxdb: 64 - 10000 - 2,5000,1 - 1000012363.028482.6094.11526.675158.1814.192.9184911995550556.92753.77518.24588814.92023581.52326026.19028181.742684432448191.411448.58926.7540721.06921349153315392.809951922127.149810.95471215.042342342.982.6031180.09711.6482.59524.8948.87257.6700.380.350.450.4635499453.07994.308722.442.778554.342.228565.22346.014.019.36627427516.542913.073614.63225.8141723.021322.541330.807338.839236.559629.70988437.127721.138193.617746.877.357448195.207913.6114.8215184.2551.92182.8952.551.3810.132.2227.202.76012.58193.31402.99033.24312.81991.496.513.946.8415.6027.010.8481.0822.5734.8119.49102524.44217657181697748047182.189501.200514.482242.34113.52015.9558.93635.13422.238596.2547.38265074.450.333467745644101731611230994632873356913109.7512.7784.33696.0582.06011.89886.47981.22225.20624.1720.33920.69512.85514.48715.92417.33282.00652.675123.6842261210.921735687.331216336.462064794.831489969.25418771100849.73250.2165.4247.39563.41546.8311.209.6712.6510.5017.073.3132.59117.1929.0423.3072.5559.2859.3919.1146.4010.889.5912.6310.3816.983.2532.56117.4629.1723.4671.6859.0059.2818.88279.339287.2550.4941.107301333349.9938250810615.0823.20623.8474811563706035.5721428.363.023482.8394.11026.685159.4807.293.3185111995596636.75152.75818.31584614.82327881.96751326.47956281.999382374380191.451461.8532.06.7990221.13921423223315755.585271762127.645821.05572515.000340339.542.5861208.38661.6622.60124.9578.87157.2160.380.350.450.4635791748.58015.398646.342.348547.841.028552.12358.014.219.66625501516.555813.168514.87005.8412923.679122.314431.414738.972835.846129.88898277.537794.138356.197725.637.360618438.647667.9415.0825184.1752.00183.5052.391.3810.122.2227.182.76592.56703.31132.96823.25042.83711.496.513.946.8515.5227.070.8441.0832.5664.8319.60101765.56692656282207802828183.024503.977516.516241.36113.65415.9948.92335.31922.693596.6157.74267212.950.330461955638994331721330627031868556970839.7412.8384.61697.5082.17812.05486.54081.42325.90124.5180.34221.00812.86614.47015.85317.31783.58152.741123.4051258380.501758200.501213155.041931045.201486411.63416721103209.61350.2695.4197.52663.99746.4910.919.4912.8910.3416.763.3332.79119.3829.0423.4273.1459.4259.7118.8747.0111.309.6912.9810.4416.953.3132.64118.9129.0823.2474.1059.4059.1619.06279.626287.0630.4941.098301687480.1884250605515.0773.14823.7993117717696009.5725224.263.002482.5514.09726.673159.4807.993.3185211965576656.79050.69918.44186214.90910882.07321226.85705885.632006353377191.011452.46926.8328420.98821407263315437.468578998127.385820.32281515.035341338.272.6131208.01851.6572.59024.9008.86957.4520.380.350.450.4635427649.28022.488690.141.818547.241.238562.82324.214.219.79632206916.610813.366115.19755.7911923.669722.661930.820838.505533.058729.12108342.737837.728419.827701.757.313518426.847750.4915.5619183.8852.09184.8153.511.4010.252.2427.292.77792.58283.34322.97823.24822.81511.506.503.956.8315.6227.050.8391.0892.6394.8319.71102339.40864156485897669043182.601502.608514.799243.26112.96415.9958.91535.31222.580593.9097.38269044.480.326467404646856731579031321632718756890709.8012.7584.49695.2482.07611.86386.34081.93325.45124.1940.34420.73912.82614.42415.89417.32882.18852.986123.3391275489.171734495.831223284.421930168.381472539.67415731101579.86750.4895.3987.31363.26946.3211.049.5912.7010.2516.893.2932.43117.4529.1823.5171.8259.2859.3418.7546.3210.689.6012.7510.4316.903.3332.59118.0429.2823.4871.6959.2859.5019.07279.278286.1400.4981.106301185316.5890950415915.1743.30223.806700554.6723222.1OpenBenchmarking.org

RealSR-NCNN

RealSR-NCNN is an NCNN neural network implementation of the RealSR project and accelerated using the Vulkan API. RealSR is the Real-World Super Resolution via Kernel Estimation and Noise Injection. NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. This test profile times how long it takes to increase the resolution of a sample image by a scale of 4x with Vulkan. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: No1231428425670SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 363.0363.0263.00
OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: No1231224364860Min: 62.99 / Avg: 63.03 / Max: 63.08Min: 62.98 / Avg: 63.02 / Max: 63.09Min: 62.96 / Avg: 63 / Max: 63.03

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: Yes123100200300400500SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3482.61482.84482.55
OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: Yes12390180270360450Min: 482.56 / Avg: 482.61 / Max: 482.64Min: 482.82 / Avg: 482.84 / Max: 482.86Min: 482.55 / Avg: 482.55 / Max: 482.56

Waifu2x-NCNN Vulkan

Waifu2x-NCNN is an NCNN neural network implementation of the Waifu2x converter project and accelerated using the Vulkan API. NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. This test profile times how long it takes to increase the resolution of a sample image with Vulkan. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: No1230.92591.85182.77773.70364.6295SE +/- 0.023, N = 3SE +/- 0.005, N = 3SE +/- 0.005, N = 34.1154.1104.097
OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: No123246810Min: 4.09 / Avg: 4.11 / Max: 4.16Min: 4.1 / Avg: 4.11 / Max: 4.12Min: 4.09 / Avg: 4.1 / Max: 4.11

OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: Yes123612182430SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 326.6826.6926.67
OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: Yes123612182430Min: 26.67 / Avg: 26.68 / Max: 26.68Min: 26.68 / Avg: 26.68 / Max: 26.7Min: 26.67 / Avg: 26.67 / Max: 26.68

Warsow

This is a benchmark of Warsow, a popular open-source first-person shooter. This game uses the QFusion engine. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterWarsow 2.5 BetaResolution: 1920 x 10801234080120160200SE +/- 1.30, N = 3SE +/- 0.12, N = 3SE +/- 0.10, N = 3158.1159.4159.4
OpenBenchmarking.orgFrames Per Second, More Is BetterWarsow 2.5 BetaResolution: 1920 x 1080123306090120150Min: 155.5 / Avg: 158.1 / Max: 159.4Min: 159.2 / Avg: 159.4 / Max: 159.6Min: 159.3 / Avg: 159.4 / Max: 159.6

yquake2

This is a test of Yamagi Quake II. Yamagi Quake II is an enhanced client for id Software's Quake II with focus on offline and coop gameplay. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betteryquake2 7.45Renderer: OpenGL 3.x - Resolution: 1920 x 10801232004006008001000SE +/- 4.11, N = 3SE +/- 3.33, N = 3SE +/- 4.89, N = 3814.1807.2807.91. (CC) gcc options: -lm -ldl -rdynamic -shared -lSDL2 -O2 -pipe -fomit-frame-pointer -std=gnu99 -fno-strict-aliasing -fwrapv -fvisibility=hidden -MMD -mfpmath=sse -fPIC
OpenBenchmarking.orgFrames Per Second, More Is Betteryquake2 7.45Renderer: OpenGL 3.x - Resolution: 1920 x 1080123140280420560700Min: 806.1 / Avg: 814.1 / Max: 819.7Min: 802 / Avg: 807.17 / Max: 813.4Min: 802 / Avg: 807.9 / Max: 817.61. (CC) gcc options: -lm -ldl -rdynamic -shared -lSDL2 -O2 -pipe -fomit-frame-pointer -std=gnu99 -fno-strict-aliasing -fwrapv -fvisibility=hidden -MMD -mfpmath=sse -fPIC

OpenBenchmarking.orgFrames Per Second, More Is Betteryquake2 7.45Renderer: Software CPU - Resolution: 1920 x 108012320406080100SE +/- 0.38, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 392.993.393.31. (CC) gcc options: -lm -ldl -rdynamic -shared -lSDL2 -O2 -pipe -fomit-frame-pointer -std=gnu99 -fno-strict-aliasing -fwrapv -fvisibility=hidden -MMD -mfpmath=sse -fPIC
OpenBenchmarking.orgFrames Per Second, More Is Betteryquake2 7.45Renderer: Software CPU - Resolution: 1920 x 108012320406080100Min: 92.3 / Avg: 92.9 / Max: 93.6Min: 93.2 / Avg: 93.27 / Max: 93.3Min: 93.2 / Avg: 93.27 / Max: 93.31. (CC) gcc options: -lm -ldl -rdynamic -shared -lSDL2 -O2 -pipe -fomit-frame-pointer -std=gnu99 -fno-strict-aliasing -fwrapv -fvisibility=hidden -MMD -mfpmath=sse -fPIC

GLmark2

This is a test of Linaro's glmark2 port, currently using the X11 OpenGL 2.0 target. GLmark2 is a basic OpenGL benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 1920 x 1080123400800120016002000184918511852

VKMark

VKMark is a collection of Vulkan tests/benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgVKMark Score, More Is BetterVKMark 2020-05-21Resolution: 1920 x 1080123300600900120015001199119911961. (CXX) g++ options: -pthread -ldl -pipe -std=c++14 -MD -MQ -MF

Sockperf

This is a network socket API performance benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMessages Per Second, More Is BetterSockperf 3.4Test: Throughput123120K240K360K480K600KSE +/- 6800.99, N = 5SE +/- 3595.18, N = 5SE +/- 3270.45, N = 55550555596635576651. (CXX) g++ options: --param -O3 -rdynamic -ldl -lpthread
OpenBenchmarking.orgMessages Per Second, More Is BetterSockperf 3.4Test: Throughput123100K200K300K400K500KMin: 535468 / Avg: 555054.6 / Max: 575646Min: 551226 / Avg: 559663.2 / Max: 572228Min: 551013 / Avg: 557664.8 / Max: 5692161. (CXX) g++ options: --param -O3 -rdynamic -ldl -lpthread

OpenBenchmarking.orgusec, Fewer Is BetterSockperf 3.4Test: Latency Ping Pong123246810SE +/- 0.065, N = 5SE +/- 0.049, N = 5SE +/- 0.074, N = 56.9276.7516.7901. (CXX) g++ options: --param -O3 -rdynamic -ldl -lpthread
OpenBenchmarking.orgusec, Fewer Is BetterSockperf 3.4Test: Latency Ping Pong1233691215Min: 6.77 / Avg: 6.93 / Max: 7.08Min: 6.64 / Avg: 6.75 / Max: 6.9Min: 6.54 / Avg: 6.79 / Max: 6.971. (CXX) g++ options: --param -O3 -rdynamic -ldl -lpthread

OpenBenchmarking.orgusec, Fewer Is BetterSockperf 3.4Test: Latency Under Load1231224364860SE +/- 2.25, N = 20SE +/- 1.88, N = 25SE +/- 1.93, N = 2553.7852.7650.701. (CXX) g++ options: --param -O3 -rdynamic -ldl -lpthread
OpenBenchmarking.orgusec, Fewer Is BetterSockperf 3.4Test: Latency Under Load1231122334455Min: 33.81 / Avg: 53.77 / Max: 73.27Min: 33.2 / Avg: 52.76 / Max: 77.37Min: 30.2 / Avg: 50.7 / Max: 73.481. (CXX) g++ options: --param -O3 -rdynamic -ldl -lpthread

OSBench

OSBench is a collection of micro-benchmarks for measuring operating system primitives like time to create threads/processes, launching programs, creating files, and memory allocation. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgus Per Event, Fewer Is BetterOSBenchTest: Create Files123510152025SE +/- 0.24, N = 3SE +/- 0.21, N = 3SE +/- 0.12, N = 318.2518.3218.441. (CC) gcc options: -lm
OpenBenchmarking.orgus Per Event, Fewer Is BetterOSBenchTest: Create Files123510152025Min: 17.94 / Avg: 18.25 / Max: 18.71Min: 18.08 / Avg: 18.32 / Max: 18.73Min: 18.22 / Avg: 18.44 / Max: 18.641. (CC) gcc options: -lm

OpenBenchmarking.orgus Per Event, Fewer Is BetterOSBenchTest: Create Threads12348121620SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.14, N = 314.9214.8214.911. (CC) gcc options: -lm
OpenBenchmarking.orgus Per Event, Fewer Is BetterOSBenchTest: Create Threads12348121620Min: 14.89 / Avg: 14.92 / Max: 14.97Min: 14.7 / Avg: 14.82 / Max: 15Min: 14.67 / Avg: 14.91 / Max: 15.171. (CC) gcc options: -lm

OpenBenchmarking.orgus Per Event, Fewer Is BetterOSBenchTest: Launch Programs12320406080100SE +/- 0.27, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 381.5281.9782.071. (CC) gcc options: -lm
OpenBenchmarking.orgus Per Event, Fewer Is BetterOSBenchTest: Launch Programs1231632486480Min: 81.02 / Avg: 81.52 / Max: 81.96Min: 81.9 / Avg: 81.97 / Max: 82.07Min: 81.89 / Avg: 82.07 / Max: 82.21. (CC) gcc options: -lm

OpenBenchmarking.orgus Per Event, Fewer Is BetterOSBenchTest: Create Processes123612182430SE +/- 0.10, N = 3SE +/- 0.03, N = 3SE +/- 0.21, N = 326.1926.4826.861. (CC) gcc options: -lm
OpenBenchmarking.orgus Per Event, Fewer Is BetterOSBenchTest: Create Processes123612182430Min: 26.03 / Avg: 26.19 / Max: 26.36Min: 26.44 / Avg: 26.48 / Max: 26.54Min: 26.45 / Avg: 26.86 / Max: 27.131. (CC) gcc options: -lm

OpenBenchmarking.orgNs Per Event, Fewer Is BetterOSBenchTest: Memory Allocations12320406080100SE +/- 0.02, N = 3SE +/- 0.10, N = 3SE +/- 1.45, N = 381.7482.0085.631. (CC) gcc options: -lm
OpenBenchmarking.orgNs Per Event, Fewer Is BetterOSBenchTest: Memory Allocations1231632486480Min: 81.7 / Avg: 81.74 / Max: 81.77Min: 81.87 / Avg: 82 / Max: 82.19Min: 82.72 / Avg: 85.63 / Max: 87.091. (CC) gcc options: -lm

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: BLAS12390180270360450SE +/- 4.54, N = 8SE +/- 6.01, N = 9SE +/- 2.52, N = 34323743531. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLAS12380160240320400Min: 400 / Avg: 431.63 / Max: 438Min: 355 / Avg: 374.33 / Max: 400Min: 348 / Avg: 353 / Max: 3561. (CXX) g++ options: -flto -pthread

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: Eigen123100200300400500SE +/- 4.81, N = 3SE +/- 5.13, N = 94483803771. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: Eigen12380160240320400Min: 439 / Avg: 448.33 / Max: 455Min: 354 / Avg: 377.22 / Max: 4031. (CXX) g++ options: -flto -pthread

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 Hydrodynamics1234080120160200SE +/- 0.19, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 3191.41191.45191.011. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeafLagrangian-Eulerian Hydrodynamics1234080120160200Min: 191.11 / Avg: 191.41 / Max: 191.76Min: 191.35 / Avg: 191.45 / Max: 191.58Min: 190.88 / Avg: 191.01 / Max: 191.111. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

CP2K Molecular Dynamics

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

OpenBenchmarking.orgSeconds, Fewer Is BetterCP2K Molecular Dynamics 8.1Fayalite-FIST Data123300600900120015001448.591461.851452.47

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 Speedup1230.450.91.351.82.25SE +/- 0.03, N = 32.02.02.01. (CC) gcc options: -fopenmp -O3 -lm
OpenBenchmarking.orgSpeedup, More Is BetterCLOMP 1.2Static OMP Speedup123246810Min: 1.9 / Avg: 1.97 / Max: 21. (CC) gcc options: -fopenmp -O3 -lm

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 Atoms123246810SE +/- 0.01425, N = 3SE +/- 0.03865, N = 3SE +/- 0.08887, N = 56.754076.799026.83284
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 Atoms1233691215Min: 6.73 / Avg: 6.75 / Max: 6.78Min: 6.72 / Avg: 6.8 / Max: 6.85Min: 6.7 / Avg: 6.83 / Max: 7.18

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 Dynamics123510152025SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 321.0721.1420.99
OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid Dynamics123510152025Min: 20.98 / Avg: 21.07 / Max: 21.21Min: 21.08 / Avg: 21.14 / Max: 21.24Min: 20.91 / Avg: 20.99 / Max: 21.03

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 1.212350M100M150M200M250MSE +/- 326563.65, N = 3SE +/- 543041.48, N = 3SE +/- 483314.65, N = 32134915332142322332140726331. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -pthread -lmpi
OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid Benchmark 1.212340M80M120M160M200MMin: 212969400 / Avg: 213491533.33 / Max: 214092400Min: 213541300 / Avg: 214232233.33 / Max: 215303400Min: 213157800 / Avg: 214072633.33 / Max: 2148004001. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -pthread -lmpi

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 Routine1233K6K9K12K15KSE +/- 120.97, N = 3SE +/- 110.35, N = 3SE +/- 161.49, N = 315392.8115755.5915437.471. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT Routine1233K6K9K12K15KMin: 15152.03 / Avg: 15392.81 / Max: 15533.71Min: 15541.61 / Avg: 15755.59 / Max: 15909.41Min: 15152.55 / Avg: 15437.47 / Max: 15711.641. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

Timed HMMer Search

This test searches through the Pfam database of profile hidden markov models. The search finds the domain structure of Drosophila Sevenless protein. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database Search123306090120150SE +/- 0.03, N = 3SE +/- 0.26, N = 3SE +/- 0.08, N = 3127.15127.65127.391. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database Search12320406080100Min: 127.11 / Avg: 127.15 / Max: 127.22Min: 127.21 / Avg: 127.65 / Max: 128.1Min: 127.27 / Avg: 127.39 / Max: 127.531. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

Incompact3D

Incompact3d is a Fortran-MPI based, finite difference high-performance code for solving the incompressible Navier-Stokes equation and as many as you need scalar transport equations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterIncompact3D 2020-09-17Input: Cylinder1232004006008001000SE +/- 3.54, N = 3SE +/- 10.03, N = 3SE +/- 2.19, N = 3810.95821.06820.321. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent -levent_pthreads -lutil -lm -lrt -lz
OpenBenchmarking.orgSeconds, Fewer Is BetterIncompact3D 2020-09-17Input: Cylinder123140280420560700Min: 806.85 / Avg: 810.95 / Max: 818Min: 802.01 / Avg: 821.06 / Max: 836.03Min: 816.22 / Avg: 820.32 / Max: 823.681. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent -levent_pthreads -lutil -lm -lrt -lz

Timed MAFFT Alignment

This test performs an alignment of 100 pyruvate decarboxylase sequences. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNA12348121620SE +/- 0.21, N = 3SE +/- 0.06, N = 3SE +/- 0.10, N = 315.0415.0015.041. (CC) gcc options: -std=c99 -O3 -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNA12348121620Min: 14.81 / Avg: 15.04 / Max: 15.47Min: 14.91 / Avg: 15 / Max: 15.1Min: 14.88 / Avg: 15.04 / Max: 15.231. (CC) gcc options: -std=c99 -O3 -lm -lpthread

Monte Carlo Simulations of Ionised Nebulae

Mocassin is the Monte Carlo Simulations of Ionised Nebulae. MOCASSIN is a fully 3D or 2D photoionisation and dust radiative transfer code which employs a Monte Carlo approach to the transfer of radiation through media of arbitrary geometry and density distribution. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24Input: Dust 2D tau100.012370140210280350SE +/- 1.76, N = 3SE +/- 0.67, N = 33423403411. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent -levent_pthreads -lutil -lrt -lz
OpenBenchmarking.orgSeconds, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24Input: Dust 2D tau100.012360120180240300Min: 337 / Avg: 339.67 / Max: 343Min: 340 / Avg: 341.33 / Max: 3421. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent -levent_pthreads -lutil -lrt -lz

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 30M12370140210280350SE +/- 1.66, N = 3SE +/- 0.27, N = 3SE +/- 2.23, N = 3342.98339.54338.271. (CXX) g++ options: -std=c++11 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -ldynamicMesh -lgenericPatchFields -lOpenFOAM -ldl -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 8Input: Motorbike 30M12360120180240300Min: 341.02 / Avg: 342.98 / Max: 346.27Min: 339.01 / Avg: 339.54 / Max: 339.84Min: 333.84 / Avg: 338.27 / Max: 340.931. (CXX) g++ options: -std=c++11 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -ldynamicMesh -lgenericPatchFields -lOpenFOAM -ldl -lm

LAMMPS Molecular Dynamics Simulator

LAMMPS is a classical molecular dynamics code, and an acronym for Large-scale Atomic/Molecular Massively Parallel Simulator. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin Protein1230.58791.17581.76372.35162.9395SE +/- 0.015, N = 3SE +/- 0.030, N = 3SE +/- 0.031, N = 32.6032.5862.6131. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin Protein123246810Min: 2.59 / Avg: 2.6 / Max: 2.63Min: 2.55 / Avg: 2.59 / Max: 2.65Min: 2.58 / Avg: 2.61 / Max: 2.681. (CXX) g++ options: -O3 -pthread -lm

LULESH

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

OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.312330060090012001500SE +/- 0.53, N = 3SE +/- 0.69, N = 3SE +/- 2.03, N = 31180.101208.391208.021. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.31232004006008001000Min: 1179.34 / Avg: 1180.1 / Max: 1181.12Min: 1207.56 / Avg: 1208.39 / Max: 1209.75Min: 1203.96 / Avg: 1208.02 / Max: 1210.151. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi

WebP Image Encode

This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Default1230.3740.7481.1221.4961.87SE +/- 0.002, N = 3SE +/- 0.003, N = 3SE +/- 0.009, N = 31.6481.6621.6571. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Default123246810Min: 1.65 / Avg: 1.65 / Max: 1.65Min: 1.66 / Avg: 1.66 / Max: 1.67Min: 1.65 / Avg: 1.66 / Max: 1.681. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 1001230.58521.17041.75562.34082.926SE +/- 0.009, N = 3SE +/- 0.007, N = 3SE +/- 0.004, N = 32.5952.6012.5901. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100123246810Min: 2.59 / Avg: 2.59 / Max: 2.61Min: 2.59 / Avg: 2.6 / Max: 2.61Min: 2.59 / Avg: 2.59 / Max: 2.61. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless123612182430SE +/- 0.03, N = 3SE +/- 0.10, N = 3SE +/- 0.21, N = 324.8924.9624.901. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless123612182430Min: 24.83 / Avg: 24.89 / Max: 24.93Min: 24.76 / Avg: 24.96 / Max: 25.07Min: 24.56 / Avg: 24.9 / Max: 25.291. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest Compression123246810SE +/- 0.001, N = 3SE +/- 0.011, N = 3SE +/- 0.013, N = 38.8728.8718.8691. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest Compression1233691215Min: 8.87 / Avg: 8.87 / Max: 8.88Min: 8.85 / Avg: 8.87 / Max: 8.89Min: 8.84 / Avg: 8.87 / Max: 8.891. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest Compression1231326395265SE +/- 0.26, N = 3SE +/- 0.02, N = 3SE +/- 0.09, N = 357.6757.2257.451. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest Compression1231122334455Min: 57.37 / Avg: 57.67 / Max: 58.18Min: 57.18 / Avg: 57.22 / Max: 57.25Min: 57.27 / Avg: 57.45 / Max: 57.571. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

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: Kostya1230.08550.1710.25650.3420.4275SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.380.380.381. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: Kostya12312345Min: 0.38 / Avg: 0.38 / Max: 0.38Min: 0.38 / Avg: 0.38 / Max: 0.38Min: 0.38 / Avg: 0.38 / Max: 0.381. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: LargeRandom1230.07880.15760.23640.31520.394SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.350.350.351. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: LargeRandom12312345Min: 0.35 / Avg: 0.35 / Max: 0.35Min: 0.35 / Avg: 0.35 / Max: 0.35Min: 0.34 / Avg: 0.35 / Max: 0.351. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: PartialTweets1230.10130.20260.30390.40520.5065SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.450.450.451. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: PartialTweets12312345Min: 0.44 / Avg: 0.45 / Max: 0.45Min: 0.45 / Avg: 0.45 / Max: 0.45Min: 0.45 / Avg: 0.45 / Max: 0.451. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: DistinctUserID1230.10350.2070.31050.4140.5175SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.460.460.461. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: DistinctUserID12312345Min: 0.46 / Avg: 0.46 / Max: 0.46Min: 0.46 / Avg: 0.46 / Max: 0.46Min: 0.46 / Avg: 0.46 / Max: 0.461. (CXX) g++ options: -O3 -pthread

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 21238M16M24M32M40MSE +/- 289585.60, N = 3SE +/- 208729.08, N = 3SE +/- 503813.27, N = 335499453.035791748.535427649.2
OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 21236M12M18M24M30MMin: 35091593.5 / Avg: 35499453 / Max: 36059497.1Min: 35378389.7 / Avg: 35791748.47 / Max: 36048968.8Min: 34420043.2 / Avg: 35427649.23 / Max: 35937019.7

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 - Compression Speed1232K4K6K8K10KSE +/- 51.24, N = 3SE +/- 41.71, N = 3SE +/- 92.88, N = 37994.308015.398022.481. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Compression Speed12314002800420056007000Min: 7940.21 / Avg: 7994.3 / Max: 8096.73Min: 7940.01 / Avg: 8015.39 / Max: 8084.04Min: 7839.29 / Avg: 8022.48 / Max: 8140.721. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Decompression Speed1232K4K6K8K10KSE +/- 6.35, N = 3SE +/- 8.66, N = 3SE +/- 57.65, N = 38722.48646.38690.11. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Decompression Speed12315003000450060007500Min: 8712.3 / Avg: 8722.37 / Max: 8734.1Min: 8636 / Avg: 8646.3 / Max: 8663.5Min: 8605 / Avg: 8690.07 / Max: 88001. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Compression Speed1231020304050SE +/- 0.58, N = 3SE +/- 0.43, N = 15SE +/- 0.65, N = 1542.7742.3441.811. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Compression Speed123918273645Min: 42.02 / Avg: 42.77 / Max: 43.9Min: 38.94 / Avg: 42.34 / Max: 44.38Min: 36.12 / Avg: 41.81 / Max: 44.431. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Decompression Speed1232K4K6K8K10KSE +/- 26.74, N = 3SE +/- 8.28, N = 15SE +/- 5.83, N = 158554.38547.88547.21. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Decompression Speed12315003000450060007500Min: 8515.3 / Avg: 8554.3 / Max: 8605.5Min: 8494.5 / Avg: 8547.83 / Max: 8615.7Min: 8499.7 / Avg: 8547.19 / Max: 8592.31. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Compression Speed1231020304050SE +/- 0.73, N = 13SE +/- 0.55, N = 15SE +/- 0.47, N = 1542.2241.0241.231. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Compression Speed123918273645Min: 35.77 / Avg: 42.22 / Max: 45.93Min: 36.17 / Avg: 41.02 / Max: 43.43Min: 38.26 / Avg: 41.23 / Max: 43.681. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Decompression Speed1232K4K6K8K10KSE +/- 6.38, N = 13SE +/- 5.73, N = 15SE +/- 3.43, N = 158565.28552.18562.81. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Decompression Speed12315003000450060007500Min: 8513.2 / Avg: 8565.21 / Max: 8593.6Min: 8514.6 / Avg: 8552.15 / Max: 8612.2Min: 8538.2 / Avg: 8562.85 / Max: 8585.41. (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: 31235001000150020002500SE +/- 27.78, N = 3SE +/- 16.00, N = 3SE +/- 7.82, N = 32346.02358.02324.21. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 3123400800120016002000Min: 2297.1 / Avg: 2346.03 / Max: 2393.3Min: 2329.7 / Avg: 2357.97 / Max: 2385.1Min: 2308.6 / Avg: 2324.23 / Max: 2332.61. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 1912348121620SE +/- 0.18, N = 5SE +/- 0.03, N = 3SE +/- 0.06, N = 314.014.214.21. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 1912348121620Min: 13.3 / Avg: 14.02 / Max: 14.2Min: 14.2 / Avg: 14.23 / Max: 14.3Min: 14.1 / Avg: 14.2 / Max: 14.31. (CC) gcc options: -O3 -pthread -lz -llzma

LibRaw

LibRaw is a RAW image decoder for digital camera photos. This test profile runs LibRaw's post-processing benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing Benchmark123510152025SE +/- 0.05, N = 3SE +/- 0.11, N = 3SE +/- 0.12, N = 319.3619.6619.791. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm
OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing Benchmark123510152025Min: 19.29 / Avg: 19.36 / Max: 19.46Min: 19.51 / Avg: 19.66 / Max: 19.87Min: 19.64 / Avg: 19.79 / Max: 20.031. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm

Crafty

This is a performance test of Crafty, an advanced open-source chess engine. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterCrafty 25.2Elapsed Time1231.4M2.8M4.2M5.6M7MSE +/- 2855.69, N = 3SE +/- 20483.82, N = 3SE +/- 23149.53, N = 36274275625501563220691. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm
OpenBenchmarking.orgNodes Per Second, More Is BetterCrafty 25.2Elapsed Time1231.1M2.2M3.3M4.4M5.5MMin: 6268571 / Avg: 6274275.33 / Max: 6277373Min: 6218031 / Avg: 6255015 / Max: 6288768Min: 6298694 / Avg: 6322068.67 / Max: 63683671. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm

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: CPU12348121620SE +/- 0.17, N = 3SE +/- 0.19, N = 3SE +/- 0.24, N = 316.5416.5616.61MIN: 13.54MIN: 13.67MIN: 13.51. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU12348121620Min: 16.36 / Avg: 16.54 / Max: 16.88Min: 16.35 / Avg: 16.56 / Max: 16.93Min: 16.17 / Avg: 16.61 / Max: 17.021. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU1233691215SE +/- 0.18, N = 15SE +/- 0.17, N = 15SE +/- 0.06, N = 313.0713.1713.37MIN: 10.63MIN: 10.78MIN: 12.281. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU12348121620Min: 11.68 / Avg: 13.07 / Max: 13.48Min: 11.89 / Avg: 13.17 / Max: 13.59Min: 13.26 / Avg: 13.37 / Max: 13.461. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU12348121620SE +/- 0.11, N = 3SE +/- 0.12, N = 3SE +/- 0.12, N = 314.6314.8715.20MIN: 13.38MIN: 13.38MIN: 13.471. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU12348121620Min: 14.49 / Avg: 14.63 / Max: 14.84Min: 14.62 / Avg: 14.87 / Max: 15Min: 14.96 / Avg: 15.2 / Max: 15.341. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU1231.31432.62863.94295.25726.5715SE +/- 0.02077, N = 3SE +/- 0.01362, N = 3SE +/- 0.01488, N = 35.814175.841295.79119MIN: 5.17MIN: 5.26MIN: 5.241. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU123246810Min: 5.79 / Avg: 5.81 / Max: 5.86Min: 5.81 / Avg: 5.84 / Max: 5.86Min: 5.76 / Avg: 5.79 / Max: 5.821. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU123612182430SE +/- 0.34, N = 3SE +/- 0.20, N = 3SE +/- 0.14, N = 323.0223.6823.67MIN: 19.03MIN: 20.06MIN: 20.011. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU123612182430Min: 22.35 / Avg: 23.02 / Max: 23.45Min: 23.27 / Avg: 23.68 / Max: 23.89Min: 23.43 / Avg: 23.67 / Max: 23.921. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU123510152025SE +/- 0.26, N = 3SE +/- 0.18, N = 15SE +/- 0.14, N = 322.5422.3122.66MIN: 17.75MIN: 17.69MIN: 17.691. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU123510152025Min: 22.09 / Avg: 22.54 / Max: 23Min: 21.09 / Avg: 22.31 / Max: 23.32Min: 22.39 / Avg: 22.66 / Max: 22.871. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU123714212835SE +/- 0.15, N = 3SE +/- 0.28, N = 3SE +/- 0.14, N = 330.8131.4130.82MIN: 22.57MIN: 22.58MIN: 22.621. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU123714212835Min: 30.64 / Avg: 30.81 / Max: 31.1Min: 30.98 / Avg: 31.41 / Max: 31.95Min: 30.62 / Avg: 30.82 / Max: 31.091. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU123918273645SE +/- 0.18, N = 3SE +/- 0.23, N = 3SE +/- 0.51, N = 338.8438.9738.51MIN: 35.67MIN: 35.93MIN: 35.631. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU123816243240Min: 38.63 / Avg: 38.84 / Max: 39.19Min: 38.53 / Avg: 38.97 / Max: 39.3Min: 37.49 / Avg: 38.51 / Max: 39.071. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU123816243240SE +/- 1.59, N = 15SE +/- 1.77, N = 15SE +/- 1.44, N = 1236.5635.8533.06MIN: 27.16MIN: 27.16MIN: 26.991. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU123816243240Min: 29.55 / Avg: 36.56 / Max: 45.37Min: 29.58 / Avg: 35.85 / Max: 44.96Min: 29.19 / Avg: 33.06 / Max: 43.281. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU123714212835SE +/- 0.09, N = 3SE +/- 0.14, N = 3SE +/- 0.29, N = 329.7129.8929.12MIN: 26.4MIN: 26.42MIN: 26.351. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU123714212835Min: 29.56 / Avg: 29.71 / Max: 29.86Min: 29.62 / Avg: 29.89 / Max: 30.07Min: 28.66 / Avg: 29.12 / Max: 29.651. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU1232K4K6K8K10KSE +/- 133.51, N = 3SE +/- 86.65, N = 3SE +/- 61.07, N = 38437.128277.538342.73MIN: 7874.47MIN: 7767.68MIN: 7929.121. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU12315003000450060007500Min: 8172.26 / Avg: 8437.12 / Max: 8598.98Min: 8112.62 / Avg: 8277.53 / Max: 8406.14Min: 8220.67 / Avg: 8342.73 / Max: 8407.381. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU1232K4K6K8K10KSE +/- 11.25, N = 3SE +/- 85.05, N = 3SE +/- 30.28, N = 37721.137794.137837.72MIN: 7547.72MIN: 7534.49MIN: 7613.071. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU12314002800420056007000Min: 7702.17 / Avg: 7721.13 / Max: 7741.11Min: 7708.43 / Avg: 7794.13 / Max: 7964.23Min: 7779.6 / Avg: 7837.72 / Max: 7881.521. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU1232K4K6K8K10KSE +/- 128.90, N = 3SE +/- 144.66, N = 3SE +/- 28.77, N = 38193.618356.198419.82MIN: 7671.11MIN: 7776.27MIN: 8053.441. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU12315003000450060007500Min: 8013.08 / Avg: 8193.61 / Max: 8443.25Min: 8101.02 / Avg: 8356.19 / Max: 8601.87Min: 8373.46 / Avg: 8419.82 / Max: 8472.511. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU12317003400510068008500SE +/- 38.84, N = 3SE +/- 27.04, N = 3SE +/- 16.23, N = 37746.877725.637701.75MIN: 7556.29MIN: 7520.66MIN: 7494.481. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU12313002600390052006500Min: 7698.52 / Avg: 7746.87 / Max: 7823.7Min: 7697.2 / Avg: 7725.63 / Max: 7779.68Min: 7674.81 / Avg: 7701.75 / Max: 7730.891. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU123246810SE +/- 0.02489, N = 3SE +/- 0.00711, N = 3SE +/- 0.00751, N = 37.357447.360617.31351MIN: 6.35MIN: 6.34MIN: 6.351. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU1233691215Min: 7.32 / Avg: 7.36 / Max: 7.4Min: 7.35 / Avg: 7.36 / Max: 7.37Min: 7.3 / Avg: 7.31 / Max: 7.331. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU1232K4K6K8K10KSE +/- 99.84, N = 5SE +/- 66.22, N = 15SE +/- 46.50, N = 38195.208438.648426.84MIN: 7505MIN: 7752.96MIN: 8003.451. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU12315003000450060007500Min: 7835.76 / Avg: 8195.2 / Max: 8382.75Min: 8073.51 / Avg: 8438.64 / Max: 9047.54Min: 8372.71 / Avg: 8426.84 / Max: 8519.391. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU1232K4K6K8K10KSE +/- 101.76, N = 3SE +/- 22.70, N = 3SE +/- 13.61, N = 37913.617667.947750.49MIN: 7617.25MIN: 7509.56MIN: 7562.511. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU12314002800420056007000Min: 7752.25 / Avg: 7913.61 / Max: 8101.69Min: 7640.74 / Avg: 7667.94 / Max: 7713.03Min: 7723.31 / Avg: 7750.49 / Max: 7765.321. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU12348121620SE +/- 0.22, N = 15SE +/- 0.18, N = 15SE +/- 0.09, N = 314.8215.0815.56MIN: 11.81MIN: 12.35MIN: 13.121. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU12348121620Min: 13.41 / Avg: 14.82 / Max: 15.75Min: 13.61 / Avg: 15.08 / Max: 15.69Min: 15.38 / Avg: 15.56 / Max: 15.671. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

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 1080p1234080120160200SE +/- 0.04, N = 3SE +/- 1.76, N = 3SE +/- 1.89, N = 3184.25184.17183.88MIN: 129.28 / MAX: 331.16MIN: 127.79 / MAX: 333.51MIN: 127.66 / MAX: 340.881. (CC) gcc options: -pthread -ldl -lm
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Chimera 1080p123306090120150Min: 184.21 / Avg: 184.25 / Max: 184.33Min: 180.81 / Avg: 184.17 / Max: 186.74Min: 180.11 / Avg: 183.88 / Max: 186.031. (CC) gcc options: -pthread -ldl -lm

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 4K1231224364860SE +/- 0.35, N = 3SE +/- 0.37, N = 3SE +/- 0.44, N = 351.9252.0052.09MIN: 48.08 / MAX: 61.73MIN: 48.01 / MAX: 61.72MIN: 48.07 / MAX: 61.571. (CC) gcc options: -pthread -ldl -lm
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 4K1231020304050Min: 51.52 / Avg: 51.92 / Max: 52.61Min: 51.56 / Avg: 52 / Max: 52.74Min: 51.56 / Avg: 52.09 / Max: 52.961. (CC) gcc options: -pthread -ldl -lm

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 1080p1234080120160200SE +/- 0.82, N = 3SE +/- 0.30, N = 3SE +/- 0.36, N = 3182.89183.50184.81MIN: 167.96 / MAX: 203.4MIN: 169.65 / MAX: 201.98MIN: 171.93 / MAX: 203.271. (CC) gcc options: -pthread -ldl -lm
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 1080p123306090120150Min: 181.85 / Avg: 182.89 / Max: 184.51Min: 183.08 / Avg: 183.5 / Max: 184.07Min: 184.11 / Avg: 184.81 / Max: 185.271. (CC) gcc options: -pthread -ldl -lm

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Chimera 1080p 10-bit1231224364860SE +/- 0.17, N = 3SE +/- 0.21, N = 3SE +/- 0.31, N = 352.5552.3953.51MIN: 35.45 / MAX: 124.71MIN: 35.47 / MAX: 120.48MIN: 35.6 / MAX: 125.131. (CC) gcc options: -pthread -ldl -lm
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Chimera 1080p 10-bit1231122334455Min: 52.28 / Avg: 52.55 / Max: 52.85Min: 51.98 / Avg: 52.39 / Max: 52.64Min: 52.9 / Avg: 53.51 / Max: 53.911. (CC) gcc options: -pthread -ldl -lm

AOM AV1

This is a simple test of the AOMedia AV1 encoder run on the CPU with a sample video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 4 Two-Pass1230.3150.630.9451.261.575SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 31.381.381.401. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 4 Two-Pass123246810Min: 1.37 / Avg: 1.38 / Max: 1.39Min: 1.38 / Avg: 1.38 / Max: 1.38Min: 1.39 / Avg: 1.4 / Max: 1.411. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 Realtime1233691215SE +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 0.13, N = 310.1310.1210.251. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 Realtime1233691215Min: 10.09 / Avg: 10.13 / Max: 10.21Min: 10.02 / Avg: 10.12 / Max: 10.28Min: 10.09 / Avg: 10.25 / Max: 10.51. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 Two-Pass1230.5041.0081.5122.0162.52SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 32.222.222.241. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 Two-Pass123246810Min: 2.21 / Avg: 2.22 / Max: 2.22Min: 2.22 / Avg: 2.22 / Max: 2.22Min: 2.22 / Avg: 2.24 / Max: 2.251. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 8 Realtime123612182430SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 327.2027.1827.291. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 8 Realtime123612182430Min: 27.16 / Avg: 27.2 / Max: 27.23Min: 27.14 / Avg: 27.18 / Max: 27.24Min: 27.25 / Avg: 27.29 / Max: 27.331. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Crown1230.6251.251.8752.53.125SE +/- 0.0145, N = 3SE +/- 0.0043, N = 3SE +/- 0.0087, N = 32.76012.76592.7779MIN: 2.71 / MAX: 2.86MIN: 2.73 / MAX: 2.83MIN: 2.75 / MAX: 2.87
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Crown123246810Min: 2.74 / Avg: 2.76 / Max: 2.79Min: 2.76 / Avg: 2.77 / Max: 2.77Min: 2.77 / Avg: 2.78 / Max: 2.8

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Crown1230.58111.16221.74332.32442.9055SE +/- 0.0040, N = 3SE +/- 0.0105, N = 3SE +/- 0.0165, N = 32.58192.56702.5828MIN: 2.55 / MAX: 2.62MIN: 2.52 / MAX: 2.63MIN: 2.51 / MAX: 2.65
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Crown123246810Min: 2.57 / Avg: 2.58 / Max: 2.59Min: 2.55 / Avg: 2.57 / Max: 2.59Min: 2.55 / Avg: 2.58 / Max: 2.6

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian Dragon1230.75221.50442.25663.00883.761SE +/- 0.0186, N = 3SE +/- 0.0143, N = 3SE +/- 0.0299, N = 33.31403.31133.3432MIN: 3.25 / MAX: 3.4MIN: 3.26 / MAX: 3.4MIN: 3.25 / MAX: 3.45
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian Dragon123246810Min: 3.28 / Avg: 3.31 / Max: 3.34Min: 3.29 / Avg: 3.31 / Max: 3.34Min: 3.29 / Avg: 3.34 / Max: 3.39

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian Dragon Obj1230.67281.34562.01842.69123.364SE +/- 0.0237, N = 3SE +/- 0.0135, N = 3SE +/- 0.0217, N = 32.99032.96822.9782MIN: 2.9 / MAX: 3.08MIN: 2.9 / MAX: 3.07MIN: 2.91 / MAX: 3.08
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian Dragon Obj123246810Min: 2.95 / Avg: 2.99 / Max: 3.03Min: 2.94 / Avg: 2.97 / Max: 2.99Min: 2.95 / Avg: 2.98 / Max: 3.02

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian Dragon1230.73131.46262.19392.92523.6565SE +/- 0.0133, N = 3SE +/- 0.0130, N = 3SE +/- 0.0025, N = 33.24313.25043.2482MIN: 3.18 / MAX: 3.32MIN: 3.19 / MAX: 3.32MIN: 3.2 / MAX: 3.32
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian Dragon123246810Min: 3.22 / Avg: 3.24 / Max: 3.27Min: 3.23 / Avg: 3.25 / Max: 3.27Min: 3.24 / Avg: 3.25 / Max: 3.25

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian Dragon Obj1230.63831.27661.91492.55323.1915SE +/- 0.0119, N = 3SE +/- 0.0157, N = 3SE +/- 0.0152, N = 32.81992.83712.8151MIN: 2.75 / MAX: 2.92MIN: 2.77 / MAX: 2.9MIN: 2.75 / MAX: 2.89
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian Dragon Obj123246810Min: 2.8 / Avg: 2.82 / Max: 2.83Min: 2.82 / Avg: 2.84 / Max: 2.87Min: 2.79 / Avg: 2.82 / Max: 2.84

Kvazaar

This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Medium1230.33750.6751.01251.351.6875SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.491.491.501. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Medium123246810Min: 1.49 / Avg: 1.49 / Max: 1.49Min: 1.49 / Avg: 1.49 / Max: 1.49Min: 1.49 / Avg: 1.5 / Max: 1.51. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Medium123246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 36.516.516.501. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Medium1233691215Min: 6.49 / Avg: 6.51 / Max: 6.53Min: 6.49 / Avg: 6.51 / Max: 6.53Min: 6.47 / Avg: 6.5 / Max: 6.531. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Very Fast1230.88881.77762.66643.55524.444SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 33.943.943.951. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Very Fast123246810Min: 3.94 / Avg: 3.94 / Max: 3.95Min: 3.93 / Avg: 3.94 / Max: 3.94Min: 3.93 / Avg: 3.95 / Max: 3.961. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Ultra Fast123246810SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 36.846.856.831. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Ultra Fast1233691215Min: 6.8 / Avg: 6.84 / Max: 6.86Min: 6.79 / Avg: 6.85 / Max: 6.93Min: 6.81 / Avg: 6.83 / Max: 6.871. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Very Fast12348121620SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 315.6015.5215.621. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Very Fast12348121620Min: 15.52 / Avg: 15.6 / Max: 15.71Min: 15.43 / Avg: 15.52 / Max: 15.64Min: 15.56 / Avg: 15.62 / Max: 15.681. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Ultra Fast123612182430SE +/- 0.16, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 327.0127.0727.051. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Ultra Fast123612182430Min: 26.77 / Avg: 27.01 / Max: 27.3Min: 26.98 / Avg: 27.07 / Max: 27.13Min: 27 / Avg: 27.05 / Max: 27.081. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

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: 51230.19080.38160.57240.76320.954SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 30.8480.8440.839
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 5123246810Min: 0.85 / Avg: 0.85 / Max: 0.85Min: 0.84 / Avg: 0.84 / Max: 0.85Min: 0.84 / Avg: 0.84 / Max: 0.84

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 61230.2450.490.7350.981.225SE +/- 0.005, N = 3SE +/- 0.001, N = 3SE +/- 0.003, N = 31.0821.0831.089
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 6123246810Min: 1.08 / Avg: 1.08 / Max: 1.09Min: 1.08 / Avg: 1.08 / Max: 1.09Min: 1.09 / Avg: 1.09 / Max: 1.09

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 101230.59381.18761.78142.37522.969SE +/- 0.015, N = 3SE +/- 0.008, N = 3SE +/- 0.007, N = 32.5732.5662.639
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 10123246810Min: 2.54 / Avg: 2.57 / Max: 2.59Min: 2.56 / Avg: 2.57 / Max: 2.58Min: 2.63 / Avg: 2.64 / Max: 2.65

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 4K1231.08682.17363.26044.34725.434SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 34.814.834.831. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4K123246810Min: 4.79 / Avg: 4.81 / Max: 4.84Min: 4.82 / Avg: 4.83 / Max: 4.85Min: 4.8 / Avg: 4.83 / Max: 4.871. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 1080p123510152025SE +/- 0.16, N = 3SE +/- 0.07, N = 3SE +/- 0.11, N = 319.4919.6019.711. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 1080p123510152025Min: 19.19 / Avg: 19.49 / Max: 19.72Min: 19.45 / Avg: 19.6 / Max: 19.69Min: 19.51 / Avg: 19.71 / Max: 19.91. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

Coremark

This is a test of EEMBC CoreMark processor benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per Second12320K40K60K80K100KSE +/- 816.07, N = 3SE +/- 290.85, N = 3SE +/- 373.76, N = 3102524.44101765.57102339.411. (CC) gcc options: -O2 -lrt" -lrt
OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per Second12320K40K60K80K100KMin: 101426.31 / Avg: 102524.44 / Max: 104119.22Min: 101355.63 / Avg: 101765.57 / Max: 102327.96Min: 101878.38 / Avg: 102339.41 / Max: 103079.51. (CC) gcc options: -O2 -lrt" -lrt

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 Time1231.2M2.4M3.6M4.8M6MSE +/- 48644.36, N = 3SE +/- 74806.22, N = 3SE +/- 39149.01, N = 35718169562822056485891. (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, More Is BetterStockfish 12Total Time1231000K2000K3000K4000K5000KMin: 5629479 / Avg: 5718169.33 / Max: 5797146Min: 5499526 / Avg: 5628219.67 / Max: 5758645Min: 5574905 / Avg: 5648589.33 / Max: 57083641. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++17 -pedantic -O3 -msse -msse3 -mpopcnt -msse4.1 -mssse3 -msse2 -flto -flto=jobserver

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 Depth1232M4M6M8M10MSE +/- 28500.12, N = 3SE +/- 50254.79, N = 3SE +/- 29445.58, N = 3774804778028287669043
OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 Depth1231.4M2.8M4.2M5.6M7MMin: 7696997 / Avg: 7748046.67 / Max: 7795531Min: 7713402 / Avg: 7802828.33 / Max: 7887276Min: 7611696 / Avg: 7669043 / Max: 7709319

Timed FFmpeg Compilation

This test times how long it takes to build the FFmpeg multimedia library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To Compile1234080120160200SE +/- 0.34, N = 3SE +/- 0.22, N = 3SE +/- 0.72, N = 3182.19183.02182.60
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To Compile123306090120150Min: 181.83 / Avg: 182.19 / Max: 182.88Min: 182.6 / Avg: 183.02 / Max: 183.3Min: 181.36 / Avg: 182.6 / Max: 183.86

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 Compile123110220330440550SE +/- 0.16, N = 3SE +/- 0.30, N = 3SE +/- 0.32, N = 3501.20503.98502.61
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3Time To Compile12390180270360450Min: 500.99 / Avg: 501.2 / Max: 501.52Min: 503.51 / Avg: 503.98 / Max: 504.53Min: 502.04 / Avg: 502.61 / Max: 503.15

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 Compile123110220330440550SE +/- 0.43, N = 3SE +/- 2.15, N = 3SE +/- 1.15, N = 3514.48516.52514.80
OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.13Time To Compile12390180270360450Min: 513.82 / Avg: 514.48 / Max: 515.3Min: 513.92 / Avg: 516.52 / Max: 520.79Min: 512.7 / Avg: 514.8 / Max: 516.68

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 Benchmark12350100150200250SE +/- 0.34, N = 3SE +/- 0.33, N = 3SE +/- 0.50, N = 3242.34241.36243.26
OpenBenchmarking.orgScore, More Is BetterNumpy Benchmark1234080120160200Min: 241.66 / Avg: 242.34 / Max: 242.75Min: 240.7 / Avg: 241.36 / Max: 241.78Min: 242.62 / Avg: 243.26 / Max: 244.24

Timed Eigen Compilation

This test times how long it takes to build all Eigen examples. The Eigen examples are compiled serially. Eigen is a C++ template library for linear algebra. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Eigen Compilation 3.3.9Time To Compile123306090120150SE +/- 0.54, N = 3SE +/- 0.19, N = 3SE +/- 0.21, N = 3113.52113.65112.96
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Eigen Compilation 3.3.9Time To Compile12320406080100Min: 112.85 / Avg: 113.52 / Max: 114.58Min: 113.29 / Avg: 113.65 / Max: 113.92Min: 112.66 / Avg: 112.96 / Max: 113.36

Monkey Audio Encoding

This test times how long it takes to encode a sample WAV file to Monkey's Audio APE format. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMonkey Audio Encoding 3.99.6WAV To APE12348121620SE +/- 0.05, N = 5SE +/- 0.08, N = 5SE +/- 0.05, N = 515.9615.9916.001. (CXX) g++ options: -O3 -pedantic -rdynamic -lrt
OpenBenchmarking.orgSeconds, Fewer Is BetterMonkey Audio Encoding 3.99.6WAV To APE12348121620Min: 15.89 / Avg: 15.96 / Max: 16.15Min: 15.86 / Avg: 15.99 / Max: 16.31Min: 15.94 / Avg: 16 / Max: 16.181. (CXX) g++ options: -O3 -pedantic -rdynamic -lrt

Opus Codec Encoding

Opus is an open audio codec. Opus is a lossy audio compression format designed primarily for interactive real-time applications over the Internet. This test uses Opus-Tools and measures the time required to encode a WAV file to Opus. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpus Codec Encoding 1.3.1WAV To Opus Encode123246810SE +/- 0.033, N = 5SE +/- 0.030, N = 5SE +/- 0.021, N = 58.9368.9238.9151. (CXX) g++ options: -fvisibility=hidden -logg -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterOpus Codec Encoding 1.3.1WAV To Opus Encode1233691215Min: 8.82 / Avg: 8.94 / Max: 9.02Min: 8.84 / Avg: 8.92 / Max: 9Min: 8.88 / Avg: 8.91 / Max: 91. (CXX) g++ options: -fvisibility=hidden -logg -lm

eSpeak-NG Speech Engine

This test times how long it takes the eSpeak speech synthesizer to read Project Gutenberg's The Outline of Science and output to a WAV file. This test profile is now tracking the eSpeak-NG version of eSpeak. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech Synthesis123816243240SE +/- 0.11, N = 4SE +/- 0.12, N = 4SE +/- 0.11, N = 435.1335.3235.311. (CC) gcc options: -O2 -std=c99
OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech Synthesis123816243240Min: 34.93 / Avg: 35.13 / Max: 35.42Min: 34.98 / Avg: 35.32 / Max: 35.52Min: 35.1 / Avg: 35.31 / Max: 35.621. (CC) gcc options: -O2 -std=c99

RNNoise

RNNoise is a recurrent neural network for audio noise reduction developed by Mozilla and Xiph.Org. This test profile is a single-threaded test measuring the time to denoise a sample 26 minute long 16-bit RAW audio file using this recurrent neural network noise suppression library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28123510152025SE +/- 0.03, N = 3SE +/- 0.23, N = 8SE +/- 0.35, N = 322.2422.6922.581. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28123510152025Min: 22.2 / Avg: 22.24 / Max: 22.29Min: 22.2 / Avg: 22.69 / Max: 24.18Min: 22.21 / Avg: 22.58 / Max: 23.281. (CC) gcc options: -O2 -pedantic -fvisibility=hidden

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_100123130260390520650SE +/- 1.56, N = 3SE +/- 0.89, N = 3SE +/- 1.20, N = 3596.25596.62593.911. (CXX) g++ options: -lm -lpthread -std=c++11 -Ofast
OpenBenchmarking.orgVoices, More Is BetterGoogle SynthMark 20201109Test: VoiceMark_100123110220330440550Min: 593.23 / Avg: 596.25 / Max: 598.45Min: 594.86 / Avg: 596.62 / Max: 597.78Min: 591.64 / Avg: 593.91 / Max: 595.711. (CXX) g++ options: -lm -lpthread -std=c++11 -Ofast

Node.js V8 Web Tooling Benchmark

Running the V8 project's Web-Tooling-Benchmark under Node.js. The Web-Tooling-Benchmark stresses JavaScript-related workloads common to web developers like Babel and TypeScript and Babylon. This test profile can test the system's JavaScript performance with Node.js. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgruns/s, More Is BetterNode.js V8 Web Tooling Benchmark123246810SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 47.387.747.381. Nodejs v12.18.2
OpenBenchmarking.orgruns/s, More Is BetterNode.js V8 Web Tooling Benchmark1233691215Min: 7.22 / Avg: 7.38 / Max: 7.46Min: 7.69 / Avg: 7.74 / Max: 7.8Min: 7.12 / Avg: 7.38 / Max: 7.561. Nodejs v12.18.2

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 6.0.1612360K120K180K240K300KSE +/- 3138.20, N = 3SE +/- 2051.97, N = 3SE +/- 1852.38, N = 3265074.45267212.95269044.481. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.1612350K100K150K200K250KMin: 259875.13 / Avg: 265074.45 / Max: 270718.81Min: 264632.8 / Avg: 267212.95 / Max: 271266.88Min: 265340.35 / Avg: 269044.48 / Max: 270955.211. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

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 Benchmark1230.07490.14980.22470.29960.3745SE +/- 0.002, N = 3SE +/- 0.002, N = 3SE +/- 0.005, N = 30.3330.3300.3261. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water Benchmark12312345Min: 0.33 / Avg: 0.33 / Max: 0.34Min: 0.33 / Avg: 0.33 / Max: 0.33Min: 0.32 / Avg: 0.33 / Max: 0.331. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm

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: SqueezeNet123100K200K300K400K500KSE +/- 158.13, N = 3SE +/- 1459.42, N = 3SE +/- 564.75, N = 3467745461955467404
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNet12380K160K240K320K400KMin: 467441 / Avg: 467745.33 / Max: 467972Min: 460469 / Avg: 461955.33 / Max: 464874Min: 466822 / Avg: 467403.67 / Max: 468533

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V41231.4M2.8M4.2M5.6M7MSE +/- 24424.39, N = 3SE +/- 7475.10, N = 3SE +/- 4440.22, N = 3644101763899436468567
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V41231.1M2.2M3.3M4.4M5.5MMin: 6392450 / Avg: 6441016.67 / Max: 6469840Min: 6377600 / Avg: 6389943.33 / Max: 6403420Min: 6460380 / Avg: 6468566.67 / Max: 6475640

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet Mobile12370K140K210K280K350K