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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C/C++ Compiler Tests 15 Tests
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January 16 2021
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January 17 2021
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January 18 2021
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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 Suite100%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 EncodeCLOMPsimdjsonBuild2Caffe

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: No3211428425670SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 363.0063.0263.03

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: Yes321100200300400500SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3482.55482.84482.61

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: No3210.92591.85182.77773.70364.6295SE +/- 0.005, N = 3SE +/- 0.005, N = 3SE +/- 0.023, N = 34.0974.1104.115

OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: Yes321612182430SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 326.6726.6926.68

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 10803214080120160200SE +/- 0.10, N = 3SE +/- 0.12, N = 3SE +/- 1.30, N = 3159.4159.4158.1

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 10803212004006008001000SE +/- 4.89, N = 3SE +/- 3.33, N = 3SE +/- 4.11, N = 3807.9807.2814.11. (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 108032120406080100SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.38, N = 393.393.392.91. (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

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 1080321400800120016002000185218511849

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 1080321300600900120015001196119911991. (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: Throughput321120K240K360K480K600KSE +/- 3270.45, N = 5SE +/- 3595.18, N = 5SE +/- 6800.99, N = 55576655596635550551. (CXX) g++ options: --param -O3 -rdynamic -ldl -lpthread

OpenBenchmarking.orgusec, Fewer Is BetterSockperf 3.4Test: Latency Ping Pong321246810SE +/- 0.074, N = 5SE +/- 0.049, N = 5SE +/- 0.065, N = 56.7906.7516.9271. (CXX) g++ options: --param -O3 -rdynamic -ldl -lpthread

OpenBenchmarking.orgusec, Fewer Is BetterSockperf 3.4Test: Latency Under Load3211224364860SE +/- 1.93, N = 25SE +/- 1.88, N = 25SE +/- 2.25, N = 2050.7052.7653.781. (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 Files321510152025SE +/- 0.12, N = 3SE +/- 0.21, N = 3SE +/- 0.24, N = 318.4418.3218.251. (CC) gcc options: -lm

OpenBenchmarking.orgus Per Event, Fewer Is BetterOSBenchTest: Create Threads32148121620SE +/- 0.14, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 314.9114.8214.921. (CC) gcc options: -lm

OpenBenchmarking.orgus Per Event, Fewer Is BetterOSBenchTest: Launch Programs32120406080100SE +/- 0.09, N = 3SE +/- 0.05, N = 3SE +/- 0.27, N = 382.0781.9781.521. (CC) gcc options: -lm

OpenBenchmarking.orgus Per Event, Fewer Is BetterOSBenchTest: Create Processes321612182430SE +/- 0.21, N = 3SE +/- 0.03, N = 3SE +/- 0.10, N = 326.8626.4826.191. (CC) gcc options: -lm

OpenBenchmarking.orgNs Per Event, Fewer Is BetterOSBenchTest: Memory Allocations32120406080100SE +/- 1.45, N = 3SE +/- 0.10, N = 3SE +/- 0.02, N = 385.6382.0081.741. (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: BLAS32190180270360450SE +/- 2.52, N = 3SE +/- 6.01, N = 9SE +/- 4.54, N = 83533744321. (CXX) g++ options: -flto -pthread

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: Eigen321100200300400500SE +/- 5.13, N = 9SE +/- 4.81, N = 33773804481. (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 Hydrodynamics3214080120160200SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.19, N = 3191.01191.45191.411. (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 Data321300600900120015001452.471461.851448.59

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 Speedup3210.450.91.351.82.25SE +/- 0.03, N = 32.02.02.01. (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 Atoms321246810SE +/- 0.08887, N = 5SE +/- 0.03865, N = 3SE +/- 0.01425, N = 36.832846.799026.75407

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 Dynamics321510152025SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 320.9921.1421.07

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 1.232150M100M150M200M250MSE +/- 483314.65, N = 3SE +/- 543041.48, N = 3SE +/- 326563.65, N = 32140726332142322332134915331. (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 Routine3213K6K9K12K15KSE +/- 161.49, N = 3SE +/- 110.35, N = 3SE +/- 120.97, N = 315437.4715755.5915392.811. (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 Search321306090120150SE +/- 0.08, N = 3SE +/- 0.26, N = 3SE +/- 0.03, N = 3127.39127.65127.151. (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: Cylinder3212004006008001000SE +/- 2.19, N = 3SE +/- 10.03, N = 3SE +/- 3.54, N = 3820.32821.06810.951. (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 RNA32148121620SE +/- 0.10, N = 3SE +/- 0.06, N = 3SE +/- 0.21, N = 315.0415.0015.041. (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 tau100.032170140210280350SE +/- 0.67, N = 3SE +/- 1.76, N = 33413403421. (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 30M32170140210280350SE +/- 2.23, N = 3SE +/- 0.27, N = 3SE +/- 1.66, N = 3338.27339.54342.981. (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 Protein3210.58791.17581.76372.35162.9395SE +/- 0.031, N = 3SE +/- 0.030, N = 3SE +/- 0.015, N = 32.6132.5862.6031. (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 2.0.332130060090012001500SE +/- 2.03, N = 3SE +/- 0.69, N = 3SE +/- 0.53, N = 31208.021208.391180.101. (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: Default3210.3740.7481.1221.4961.87SE +/- 0.009, N = 3SE +/- 0.003, N = 3SE +/- 0.002, N = 31.6571.6621.6481. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 1003210.58521.17041.75562.34082.926SE +/- 0.004, N = 3SE +/- 0.007, N = 3SE +/- 0.009, N = 32.5902.6012.5951. (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, Lossless321612182430SE +/- 0.21, N = 3SE +/- 0.10, N = 3SE +/- 0.03, N = 324.9024.9624.891. (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, Highest Compression321246810SE +/- 0.013, N = 3SE +/- 0.011, N = 3SE +/- 0.001, N = 38.8698.8718.8721. (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 Compression3211326395265SE +/- 0.09, N = 3SE +/- 0.02, N = 3SE +/- 0.26, N = 357.4557.2257.671. (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: Kostya3210.08550.1710.25650.3420.4275SE +/- 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: LargeRandom3210.07880.15760.23640.31520.394SE +/- 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: PartialTweets3210.10130.20260.30390.40520.5065SE +/- 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: DistinctUserID3210.10350.2070.31050.4140.5175SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.460.460.461. (CXX) g++ options: -O3 -pthread

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 23218M16M24M32M40MSE +/- 503813.27, N = 3SE +/- 208729.08, N = 3SE +/- 289585.60, N = 335427649.235791748.535499453.0

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 Speed3212K4K6K8K10KSE +/- 92.88, N = 3SE +/- 41.71, N = 3SE +/- 51.24, N = 38022.488015.397994.301. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Decompression Speed3212K4K6K8K10KSE +/- 57.65, N = 3SE +/- 8.66, N = 3SE +/- 6.35, N = 38690.18646.38722.41. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Compression Speed3211020304050SE +/- 0.65, N = 15SE +/- 0.43, N = 15SE +/- 0.58, N = 341.8142.3442.771. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Decompression Speed3212K4K6K8K10KSE +/- 5.83, N = 15SE +/- 8.28, N = 15SE +/- 26.74, N = 38547.28547.88554.31. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Compression Speed3211020304050SE +/- 0.47, N = 15SE +/- 0.55, N = 15SE +/- 0.73, N = 1341.2341.0242.221. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Decompression Speed3212K4K6K8K10KSE +/- 3.43, N = 15SE +/- 5.73, N = 15SE +/- 6.38, N = 138562.88552.18565.21. (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: 33215001000150020002500SE +/- 7.82, N = 3SE +/- 16.00, N = 3SE +/- 27.78, N = 32324.22358.02346.01. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 1932148121620SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.18, N = 514.214.214.01. (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 Benchmark321510152025SE +/- 0.12, N = 3SE +/- 0.11, N = 3SE +/- 0.05, N = 319.7919.6619.361. (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 Time3211.4M2.8M4.2M5.6M7MSE +/- 23149.53, N = 3SE +/- 20483.82, N = 3SE +/- 2855.69, N = 36322069625501562742751. (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: CPU32148121620SE +/- 0.24, N = 3SE +/- 0.19, N = 3SE +/- 0.17, N = 316.6116.5616.54MIN: 13.5MIN: 13.67MIN: 13.541. (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: CPU3213691215SE +/- 0.06, N = 3SE +/- 0.17, N = 15SE +/- 0.18, N = 1513.3713.1713.07MIN: 12.28MIN: 10.78MIN: 10.631. (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: CPU32148121620SE +/- 0.12, N = 3SE +/- 0.12, N = 3SE +/- 0.11, N = 315.2014.8714.63MIN: 13.47MIN: 13.38MIN: 13.381. (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: CPU3211.31432.62863.94295.25726.5715SE +/- 0.01488, N = 3SE +/- 0.01362, N = 3SE +/- 0.02077, N = 35.791195.841295.81417MIN: 5.24MIN: 5.26MIN: 5.171. (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: CPU321612182430SE +/- 0.14, N = 3SE +/- 0.20, N = 3SE +/- 0.34, N = 323.6723.6823.02MIN: 20.01MIN: 20.06MIN: 19.031. (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: CPU321510152025SE +/- 0.14, N = 3SE +/- 0.18, N = 15SE +/- 0.26, N = 322.6622.3122.54MIN: 17.69MIN: 17.69MIN: 17.751. (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: CPU321714212835SE +/- 0.14, N = 3SE +/- 0.28, N = 3SE +/- 0.15, N = 330.8231.4130.81MIN: 22.62MIN: 22.58MIN: 22.571. (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: CPU321918273645SE +/- 0.51, N = 3SE +/- 0.23, N = 3SE +/- 0.18, N = 338.5138.9738.84MIN: 35.63MIN: 35.93MIN: 35.671. (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: CPU321816243240SE +/- 1.44, N = 12SE +/- 1.77, N = 15SE +/- 1.59, N = 1533.0635.8536.56MIN: 26.99MIN: 27.16MIN: 27.161. (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: CPU321714212835SE +/- 0.29, N = 3SE +/- 0.14, N = 3SE +/- 0.09, N = 329.1229.8929.71MIN: 26.35MIN: 26.42MIN: 26.41. (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: CPU3212K4K6K8K10KSE +/- 61.07, N = 3SE +/- 86.65, N = 3SE +/- 133.51, N = 38342.738277.538437.12MIN: 7929.12MIN: 7767.68MIN: 7874.471. (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: CPU3212K4K6K8K10KSE +/- 30.28, N = 3SE +/- 85.05, N = 3SE +/- 11.25, N = 37837.727794.137721.13MIN: 7613.07MIN: 7534.49MIN: 7547.721. (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: CPU3212K4K6K8K10KSE +/- 28.77, N = 3SE +/- 144.66, N = 3SE +/- 128.90, N = 38419.828356.198193.61MIN: 8053.44MIN: 7776.27MIN: 7671.111. (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: CPU32117003400510068008500SE +/- 16.23, N = 3SE +/- 27.04, N = 3SE +/- 38.84, N = 37701.757725.637746.87MIN: 7494.48MIN: 7520.66MIN: 7556.291. (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: CPU321246810SE +/- 0.00751, N = 3SE +/- 0.00711, N = 3SE +/- 0.02489, N = 37.313517.360617.35744MIN: 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: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU3212K4K6K8K10KSE +/- 46.50, N = 3SE +/- 66.22, N = 15SE +/- 99.84, N = 58426.848438.648195.20MIN: 8003.45MIN: 7752.96MIN: 75051. (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: CPU3212K4K6K8K10KSE +/- 13.61, N = 3SE +/- 22.70, N = 3SE +/- 101.76, N = 37750.497667.947913.61MIN: 7562.51MIN: 7509.56MIN: 7617.251. (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: CPU32148121620SE +/- 0.09, N = 3SE +/- 0.18, N = 15SE +/- 0.22, N = 1515.5615.0814.82MIN: 13.12MIN: 12.35MIN: 11.811. (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 1080p3214080120160200SE +/- 1.89, N = 3SE +/- 1.76, N = 3SE +/- 0.04, N = 3183.88184.17184.25MIN: 127.66 / MAX: 340.88MIN: 127.79 / MAX: 333.51MIN: 129.28 / MAX: 331.161. (CC) gcc options: -pthread -ldl -lm

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 4K3211224364860SE +/- 0.44, N = 3SE +/- 0.37, N = 3SE +/- 0.35, N = 352.0952.0051.92MIN: 48.07 / MAX: 61.57MIN: 48.01 / MAX: 61.72MIN: 48.08 / MAX: 61.731. (CC) gcc options: -pthread -ldl -lm

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 1080p3214080120160200SE +/- 0.36, N = 3SE +/- 0.30, N = 3SE +/- 0.82, N = 3184.81183.50182.89MIN: 171.93 / MAX: 203.27MIN: 169.65 / MAX: 201.98MIN: 167.96 / MAX: 203.41. (CC) gcc options: -pthread -ldl -lm

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Chimera 1080p 10-bit3211224364860SE +/- 0.31, N = 3SE +/- 0.21, N = 3SE +/- 0.17, N = 353.5152.3952.55MIN: 35.6 / MAX: 125.13MIN: 35.47 / MAX: 120.48MIN: 35.45 / MAX: 124.711. (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-Pass3210.3150.630.9451.261.575SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 31.401.381.381. (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 Realtime3213691215SE +/- 0.13, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 310.2510.1210.131. (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-Pass3210.5041.0081.5122.0162.52SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 32.242.222.221. (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 Realtime321612182430SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 327.2927.1827.201. (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: Crown3210.6251.251.8752.53.125SE +/- 0.0087, N = 3SE +/- 0.0043, N = 3SE +/- 0.0145, N = 32.77792.76592.7601MIN: 2.75 / MAX: 2.87MIN: 2.73 / MAX: 2.83MIN: 2.71 / MAX: 2.86

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Crown3210.58111.16221.74332.32442.9055SE +/- 0.0165, N = 3SE +/- 0.0105, N = 3SE +/- 0.0040, N = 32.58282.56702.5819MIN: 2.51 / MAX: 2.65MIN: 2.52 / MAX: 2.63MIN: 2.55 / MAX: 2.62

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian Dragon3210.75221.50442.25663.00883.761SE +/- 0.0299, N = 3SE +/- 0.0143, N = 3SE +/- 0.0186, N = 33.34323.31133.3140MIN: 3.25 / MAX: 3.45MIN: 3.26 / MAX: 3.4MIN: 3.25 / MAX: 3.4

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian Dragon Obj3210.67281.34562.01842.69123.364SE +/- 0.0217, N = 3SE +/- 0.0135, N = 3SE +/- 0.0237, N = 32.97822.96822.9903MIN: 2.91 / MAX: 3.08MIN: 2.9 / MAX: 3.07MIN: 2.9 / MAX: 3.08

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian Dragon3210.73131.46262.19392.92523.6565SE +/- 0.0025, N = 3SE +/- 0.0130, N = 3SE +/- 0.0133, N = 33.24823.25043.2431MIN: 3.2 / MAX: 3.32MIN: 3.19 / MAX: 3.32MIN: 3.18 / MAX: 3.32

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian Dragon Obj3210.63831.27661.91492.55323.1915SE +/- 0.0152, N = 3SE +/- 0.0157, N = 3SE +/- 0.0119, N = 32.81512.83712.8199MIN: 2.75 / MAX: 2.89MIN: 2.77 / MAX: 2.9MIN: 2.75 / MAX: 2.92

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: Medium3210.33750.6751.01251.351.6875SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.501.491.491. (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: Medium321246810SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 36.506.516.511. (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 Fast3210.88881.77762.66643.55524.444SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 33.953.943.941. (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 Fast321246810SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 36.836.856.841. (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 Fast32148121620SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 315.6215.5215.601. (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 Fast321612182430SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.16, N = 327.0527.0727.011. (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: 53210.19080.38160.57240.76320.954SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 30.8390.8440.848

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 63210.2450.490.7350.981.225SE +/- 0.003, N = 3SE +/- 0.001, N = 3SE +/- 0.005, N = 31.0891.0831.082

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 103210.59381.18761.78142.37522.969SE +/- 0.007, N = 3SE +/- 0.008, N = 3SE +/- 0.015, N = 32.6392.5662.573

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 4K3211.08682.17363.26044.34725.434SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 34.834.834.811. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 1080p321510152025SE +/- 0.11, N = 3SE +/- 0.07, N = 3SE +/- 0.16, N = 319.7119.6019.491. (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 Second32120K40K60K80K100KSE +/- 373.76, N = 3SE +/- 290.85, N = 3SE +/- 816.07, N = 3102339.41101765.57102524.441. (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 Time3211.2M2.4M3.6M4.8M6MSE +/- 39149.01, N = 3SE +/- 74806.22, N = 3SE +/- 48644.36, N = 35648589562822057181691. (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 Depth3212M4M6M8M10MSE +/- 29445.58, N = 3SE +/- 50254.79, N = 3SE +/- 28500.12, N = 3766904378028287748047

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 Compile3214080120160200SE +/- 0.72, N = 3SE +/- 0.22, N = 3SE +/- 0.34, N = 3182.60183.02182.19

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 Compile321110220330440550SE +/- 0.32, N = 3SE +/- 0.30, N = 3SE +/- 0.16, N = 3502.61503.98501.20

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 Compile321110220330440550SE +/- 1.15, N = 3SE +/- 2.15, N = 3SE +/- 0.43, N = 3514.80516.52514.48

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 Benchmark32150100150200250SE +/- 0.50, N = 3SE +/- 0.33, N = 3SE +/- 0.34, N = 3243.26241.36242.34

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 Compile321306090120150SE +/- 0.21, N = 3SE +/- 0.19, N = 3SE +/- 0.54, N = 3112.96113.65113.52

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 APE32148121620SE +/- 0.05, N = 5SE +/- 0.08, N = 5SE +/- 0.05, N = 516.0015.9915.961. (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 Encode321246810SE +/- 0.021, N = 5SE +/- 0.030, N = 5SE +/- 0.033, N = 58.9158.9238.9361. (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 Synthesis321816243240SE +/- 0.11, N = 4SE +/- 0.12, N = 4SE +/- 0.11, N = 435.3135.3235.131. (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 2020-06-28321510152025SE +/- 0.35, N = 3SE +/- 0.23, N = 8SE +/- 0.03, N = 322.5822.6922.241. (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_100321130260390520650SE +/- 1.20, N = 3SE +/- 0.89, N = 3SE +/- 1.56, N = 3593.91596.62596.251. (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 Benchmark321246810SE +/- 0.09, N = 4SE +/- 0.03, N = 3SE +/- 0.08, N = 37.387.747.381. 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 6.0.1632160K120K180K240K300KSE +/- 1852.38, N = 3SE +/- 2051.97, N = 3SE +/- 3138.20, N = 3269044.48267212.95265074.451. (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 Benchmark3210.07490.14980.22470.29960.3745SE +/- 0.005, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 30.3260.3300.3331. (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: SqueezeNet321100K200K300K400K500KSE +/- 564.75, N = 3SE +/- 1459.42, N = 3SE +/- 158.13, N = 3467404461955467745

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V43211.4M2.8M4.2M5.6M7MSE +/- 4440.22, N = 3SE +/- 7475.10, N = 3SE +/- 24424.39, N = 3646856763899436441017

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet Mobile32170K140K210K280K350KSE +/- 504.11, N = 3SE +/- 384.90, N = 3SE +/- 995.45, N = 3315790317213316112

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet Float32170K140K210K280K350KSE +/- 2441.23, N = 3SE +/- 1840.34, N = 3SE +/- 172.14, N = 3313216306270309946

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet Quant32170K140K210K280K350KSE +/- 1866.22, N = 3SE +/- 1025.34, N = 3SE +/- 1183.02, N = 3327187318685328733

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V23211.2M2.4M3.6M4.8M6MSE +/- 6688.08, N = 3SE +/- 3137.20, N = 3SE +/- 3601.25, N = 3568907056970835691310

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: Fast3213691215SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 39.809.749.751. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Medium3213691215SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 312.7512.8312.771. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Thorough32120406080100SE +/- 0.04, N = 3SE +/- 0.21, N = 3SE +/- 0.21, N = 384.4984.6184.331. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Exhaustive321150300450600750SE +/- 0.20, N = 3SE +/- 0.48, N = 3SE +/- 1.18, N = 3695.24697.50696.051. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

Basis Universal

Basis Universal is a GPU texture codoec. This test times how long it takes to convert sRGB PNGs into Basis Univeral assets with various settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: ETC1S32120406080100SE +/- 0.07, N = 3SE +/- 0.14, N = 3SE +/- 0.05, N = 382.0882.1882.061. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 03213691215SE +/- 0.00, N = 3SE +/- 0.09, N = 3SE +/- 0.02, N = 311.8612.0511.901. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 232120406080100SE +/- 0.16, N = 3SE +/- 0.18, N = 3SE +/- 0.24, N = 386.3486.5486.481. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

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 1,00032120406080100SE +/- 0.70, N = 3SE +/- 0.76, N = 3SE +/- 0.14, N = 381.9381.4281.221. (CC) gcc options: -O2 -ldl -lz -lpthread

Darktable

Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Boat - Acceleration: CPU-only321612182430SE +/- 0.09, N = 3SE +/- 0.25, N = 13SE +/- 0.09, N = 325.4525.9025.21

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Masskrug - Acceleration: CPU-only321612182430SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 324.1924.5224.17

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Server Rack - Acceleration: CPU-only3210.07740.15480.23220.30960.387SE +/- 0.004, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 30.3440.3420.339

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Server Room - Acceleration: CPU-only321510152025SE +/- 0.19, N = 3SE +/- 0.12, N = 3SE +/- 0.21, N = 320.7421.0120.70

GIMP

GIMP is an open-source image manipulaton program. This test profile will use the system-provided GIMP program otherwise on Windows relys upon a pre-packaged Windows binary from upstream GIMP.org. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: resize3213691215SE +/- 0.10, N = 3SE +/- 0.07, N = 3SE +/- 0.09, N = 312.8312.8712.86

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: rotate32148121620SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 314.4214.4714.49

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: auto-levels32148121620SE +/- 0.06, N = 3SE +/- 0.11, N = 3SE +/- 0.01, N = 315.8915.8515.92

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: unsharp-mask32148121620SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 317.3317.3217.33

Hugin

Hugin is an open-source, cross-platform panorama photo stitcher software package. This test profile times how long it takes to run the assistant and panorama photo stitching on a set of images. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterHuginPanorama Photo Assistant + Stitching Time32120406080100SE +/- 0.13, N = 3SE +/- 0.26, N = 3SE +/- 0.57, N = 382.1983.5882.01

OCRMyPDF

OCRMyPDF is an optical character recognition (OCR) text layer to scanned PDF files, producing new PDFs with the text now selectable/searchable/copy-paste capable. OCRMyPDF leverages the Tesseract OCR engine and is written in Python. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 10.3.1+dfsgProcessing 60 Page PDF Document3211224364860SE +/- 0.10, N = 3SE +/- 0.08, N = 3SE +/- 0.13, N = 352.9952.7452.68

RawTherapee

RawTherapee is a cross-platform, open-source multi-threaded RAW image processing program. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark Time321306090120150SE +/- 0.14, N = 3SE +/- 0.21, N = 3SE +/- 0.06, N = 3123.34123.41123.681. RawTherapee, version 5.8, command line.

Redis

Redis is an open-source data structure server. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: LPOP321500K1000K1500K2000K2500KSE +/- 8952.66, N = 3SE +/- 11741.76, N = 3SE +/- 16948.58, N = 31275489.171258380.502261210.921. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SADD321400K800K1200K1600K2000KSE +/- 4337.84, N = 3SE +/- 21162.12, N = 3SE +/- 11595.14, N = 31734495.831758200.501735687.331. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: LPUSH321300K600K900K1200K1500KSE +/- 4396.42, N = 3SE +/- 2985.46, N = 3SE +/- 16215.78, N = 31223284.421213155.041216336.461. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: GET321400K800K1200K1600K2000KSE +/- 22292.08, N = 3SE +/- 23617.43, N = 5SE +/- 35016.53, N = 31930168.381931045.202064794.831. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SET321300K600K900K1200K1500KSE +/- 15253.86, N = 8SE +/- 19097.96, N = 3SE +/- 5888.95, N = 31472539.671486411.631489969.251. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

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: 1003219K18K27K36K45KSE +/- 137.35, N = 3SE +/- 90.86, N = 3SE +/- 193.32, N = 34157341672418771. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 10032120K40K60K80K100KSE +/- 223.03, N = 3SE +/- 38.96, N = 3SE +/- 106.80, N = 31101571103201100841. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: SqueezeNetV1.03213691215SE +/- 0.066, N = 3SE +/- 0.039, N = 3SE +/- 0.127, N = 39.8679.6139.732MIN: 8.73 / MAX: 39.42MIN: 8.69 / MAX: 20.7MIN: 8.67 / MAX: 18.761. (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-v2-503211122334455SE +/- 0.27, N = 3SE +/- 0.33, N = 3SE +/- 0.51, N = 350.4950.2750.22MIN: 47.85 / MAX: 147.84MIN: 47.5 / MAX: 72.85MIN: 47.21 / MAX: 83.291. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: MobileNetV2_2243211.22042.44083.66124.88166.102SE +/- 0.037, N = 3SE +/- 0.038, N = 3SE +/- 0.019, N = 35.3985.4195.424MIN: 4.83 / MAX: 15.64MIN: 4.88 / MAX: 15.69MIN: 4.8 / MAX: 14.751. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: mobilenet-v1-1.0321246810SE +/- 0.030, N = 3SE +/- 0.065, N = 3SE +/- 0.021, N = 37.3137.5267.395MIN: 6.61 / MAX: 17.32MIN: 6.6 / MAX: 20.05MIN: 6.57 / MAX: 16.471. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: inception-v33211428425670SE +/- 0.19, N = 3SE +/- 0.32, N = 3SE +/- 0.18, N = 363.2764.0063.42MIN: 60.45 / MAX: 98.45MIN: 60.33 / MAX: 93.06MIN: 60.02 / MAX: 120.021. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

NCNN

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: mobilenet3211122334455SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.46, N = 346.3246.4946.83MIN: 43.57 / MAX: 62.16MIN: 42.72 / MAX: 62.2MIN: 42.34 / MAX: 64.411. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2 - Model: mobilenet-v23213691215SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.13, N = 311.0410.9111.20MIN: 8.96 / MAX: 21.86MIN: 8.91 / MAX: 18.07MIN: 8.97 / MAX: 20.51. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3 - Model: mobilenet-v33213691215SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 39.599.499.67MIN: 7.81 / MAX: 16.29MIN: 7.78 / MAX: 14.76MIN: 7.8 / MAX: 15.651. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: shufflenet-v23213691215SE +/- 0.14, N = 3SE +/- 0.14, N = 3SE +/- 0.12, N = 312.7012.8912.65MIN: 10.47 / MAX: 19.71MIN: 10.42 / MAX: 26.77MIN: 10.41 / MAX: 23.31. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mnasnet3213691215SE +/- 0.06, N = 3SE +/- 0.10, N = 3SE +/- 0.05, N = 310.2510.3410.50MIN: 8.43 / MAX: 24.69MIN: 8.42 / MAX: 16.24MIN: 8.45 / MAX: 18.41. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: efficientnet-b032148121620SE +/- 0.12, N = 3SE +/- 0.03, N = 3SE +/- 0.15, N = 316.8916.7617.07MIN: 14.11 / MAX: 30.24MIN: 13.96 / MAX: 31.87MIN: 14.1 / MAX: 30.11. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: blazeface3210.74931.49862.24792.99723.7465SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 33.293.333.31MIN: 2.73 / MAX: 4.72MIN: 2.62 / MAX: 5.11MIN: 2.64 / MAX: 9.911. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: googlenet321816243240SE +/- 0.18, N = 3SE +/- 0.05, N = 3SE +/- 0.18, N = 332.4332.7932.59MIN: 28.44 / MAX: 46.34MIN: 28.77 / MAX: 48.75MIN: 28.72 / MAX: 51.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: vgg16321306090120150SE +/- 0.17, N = 3SE +/- 0.23, N = 3SE +/- 0.18, N = 3117.45119.38117.19MIN: 112.54 / MAX: 135.06MIN: 113.9 / MAX: 142.52MIN: 112.25 / MAX: 143.191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet18321714212835SE +/- 0.33, N = 3SE +/- 0.12, N = 3SE +/- 0.16, N = 329.1829.0429.04MIN: 25.64 / MAX: 44.22MIN: 25.69 / MAX: 36.07MIN: 25.89 / MAX: 42.021. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: alexnet321612182430SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.11, N = 323.5123.4223.30MIN: 21.21 / MAX: 37.48MIN: 21.27 / MAX: 37.51MIN: 21.24 / MAX: 38.111. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet503211632486480SE +/- 0.19, N = 3SE +/- 0.39, N = 3SE +/- 0.82, N = 371.8273.1472.55MIN: 65.77 / MAX: 87.35MIN: 66.24 / MAX: 103.74MIN: 66.75 / MAX: 91.971. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: yolov4-tiny3211326395265SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.05, N = 359.2859.4259.28MIN: 55.36 / MAX: 72.94MIN: 55.13 / MAX: 75.95MIN: 55.69 / MAX: 71.741. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: squeezenet_ssd3211326395265SE +/- 0.27, N = 3SE +/- 0.20, N = 3SE +/- 0.05, N = 359.3459.7159.39MIN: 52.64 / MAX: 71.17MIN: 52.9 / MAX: 78.52MIN: 53.07 / MAX: 79.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: regnety_400m321510152025SE +/- 0.18, N = 3SE +/- 0.10, N = 3SE +/- 0.07, N = 318.7518.8719.11MIN: 16.84 / MAX: 32.85MIN: 16.81 / MAX: 33.23MIN: 16.69 / MAX: 35.811. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: mobilenet3211122334455SE +/- 0.07, N = 3SE +/- 0.66, N = 4SE +/- 0.03, N = 346.3247.0146.40MIN: 42.77 / MAX: 61.8MIN: 42.66 / MAX: 60.93MIN: 42.8 / MAX: 59.971. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU-v2-v2 - Model: mobilenet-v23213691215SE +/- 0.38, N = 3SE +/- 0.21, N = 4SE +/- 0.01, N = 310.6811.3010.88MIN: 8.89 / MAX: 17.41MIN: 8.86 / MAX: 23.26MIN: 8.93 / MAX: 27.731. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU-v3-v3 - Model: mobilenet-v33213691215SE +/- 0.09, N = 3SE +/- 0.14, N = 4SE +/- 0.13, N = 39.609.699.59MIN: 7.73 / MAX: 19.55MIN: 7.81 / MAX: 18.31MIN: 7.78 / MAX: 22.631. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: shufflenet-v23213691215SE +/- 0.20, N = 3SE +/- 0.16, N = 4SE +/- 0.09, N = 312.7512.9812.63MIN: 10.36 / MAX: 21.98MIN: 10.26 / MAX: 24.78MIN: 10.39 / MAX: 25.471. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: mnasnet3213691215SE +/- 0.08, N = 3SE +/- 0.20, N = 4SE +/- 0.08, N = 310.4310.4410.38MIN: 8.39 / MAX: 21.7MIN: 8.36 / MAX: 26.87MIN: 8.43 / MAX: 17.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: efficientnet-b032148121620SE +/- 0.14, N = 3SE +/- 0.26, N = 4SE +/- 0.07, N = 316.9016.9516.98MIN: 13.97 / MAX: 30.89MIN: 14.04 / MAX: 27.15MIN: 14.01 / MAX: 31.11. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: blazeface3210.74931.49862.24792.99723.7465SE +/- 0.03, N = 3SE +/- 0.02, N = 4SE +/- 0.01, N = 33.333.313.25MIN: 2.62 / MAX: 5.7MIN: 2.6 / MAX: 4.93MIN: 2.61 / MAX: 14.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: googlenet321816243240SE +/- 0.13, N = 3SE +/- 0.12, N = 4SE +/- 0.20, N = 332.5932.6432.56MIN: 28.42 / MAX: 45.73MIN: 28.94 / MAX: 42.38MIN: 28.77 / MAX: 47.431. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: vgg16321306090120150SE +/- 0.16, N = 3SE +/- 0.24, N = 4SE +/- 0.37, N = 3118.04118.91117.46MIN: 112.22 / MAX: 141.41MIN: 113.22 / MAX: 141.78MIN: 111.97 / MAX: 149.371. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: resnet18321714212835SE +/- 0.02, N = 3SE +/- 0.14, N = 4SE +/- 0.26, N = 329.2829.0829.17MIN: 25.57 / MAX: 39.41MIN: 25.74 / MAX: 44.35MIN: 26 / MAX: 40.971. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: alexnet321612182430SE +/- 0.02, N = 3SE +/- 0.03, N = 4SE +/- 0.08, N = 323.4823.2423.46MIN: 21.25 / MAX: 36.41MIN: 21.11 / MAX: 37.35MIN: 21.29 / MAX: 37.361. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: resnet503211632486480SE +/- 0.29, N = 3SE +/- 0.63, N = 4SE +/- 0.20, N = 371.6974.1071.68MIN: 66.47 / MAX: 91.18MIN: 66.26 / MAX: 110.26MIN: 65.87 / MAX: 90.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: yolov4-tiny3211326395265SE +/- 0.16, N = 3SE +/- 0.06, N = 4SE +/- 0.04, N = 359.2859.4059.00MIN: 54.59 / MAX: 74.87MIN: 55.12 / MAX: 75.24MIN: 55.05 / MAX: 74.181. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: squeezenet_ssd3211326395265SE +/- 0.16, N = 3SE +/- 0.14, N = 4SE +/- 0.08, N = 359.5059.1659.28MIN: 52.65 / MAX: 71.96MIN: 51.95 / MAX: 72.82MIN: 53.06 / MAX: 77.541. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: regnety_400m321510152025SE +/- 0.01, N = 3SE +/- 0.15, N = 4SE +/- 0.09, N = 319.0719.0618.88MIN: 16.77 / MAX: 34.77MIN: 16.61 / MAX: 34.07MIN: 16.76 / MAX: 26.521. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 v232160120180240300SE +/- 0.29, N = 3SE +/- 0.44, N = 3SE +/- 0.05, N = 3279.28279.63279.34MIN: 276.39 / MAX: 296.43MIN: 276.69 / MAX: 295.47MIN: 276.5 / MAX: 293.721. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.132160120180240300SE +/- 0.02, N = 3SE +/- 0.28, N = 3SE +/- 0.12, N = 3286.14287.06287.26MIN: 285.41 / MAX: 286.85MIN: 286.17 / MAX: 287.91MIN: 286.22 / MAX: 288.271. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

IndigoBench

This is a test of Indigo Renderer's IndigoBench benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: Bedroom3210.11210.22420.33630.44840.5605SE +/- 0.002, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 30.4980.4940.494

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: Supercar3210.24910.49820.74730.99641.2455SE +/- 0.002, N = 3SE +/- 0.009, N = 3SE +/- 0.004, N = 31.1061.0981.107

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: FLOAT32160M120M180M240M300MSE +/- 702868.97, N = 3SE +/- 109501.99, N = 3SE +/- 252430.64, N = 3301185316.59301687480.19301333349.991. (CC) gcc options: -O3 -march=native -lm

PHPBench

PHPBench is a benchmark suite for PHP. It performs a large number of simple tests in order to bench various aspects of the PHP interpreter. PHPBench can be used to compare hardware, operating systems, PHP versions, PHP accelerators and caches, compiler options, etc. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark Suite321110K220K330K440K550KSE +/- 2233.09, N = 3SE +/- 1952.23, N = 3SE +/- 423.52, N = 3504159506055508106

WavPack Audio Encoding

This test times how long it takes to encode a sample WAV file to WavPack format with very high quality settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWavPack Audio Encoding 5.3WAV To WavPack32148121620SE +/- 0.09, N = 21SE +/- 0.01, N = 5SE +/- 0.01, N = 515.1715.0815.081. (CXX) g++ options: -rdynamic

Sunflow Rendering System

This test runs benchmarks of the Sunflow Rendering System. The Sunflow Rendering System is an open-source render engine for photo-realistic image synthesis with a ray-tracing core. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSunflow Rendering System 0.07.2Global Illumination + Image Synthesis3210.7431.4862.2292.9723.715SE +/- 0.028, N = 15SE +/- 0.032, N = 3SE +/- 0.041, N = 33.3023.1483.206MIN: 2.87 / MAX: 4.18MIN: 2.89 / MAX: 3.84MIN: 2.88 / MAX: 3.79

Unpacking Firefox

This simple test profile measures how long it takes to extract the .tar.xz source package of the Mozilla Firefox Web Browser. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterUnpacking Firefox 84.0Extracting: firefox-84.0.source.tar.xz321612182430SE +/- 0.08, N = 4SE +/- 0.03, N = 4SE +/- 0.03, N = 423.8123.8023.85

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 1.2.4211000K2000K3000K4000K5000KSE +/- 35494.54, N = 3SE +/- 36406.50, N = 2311771748115631. (CXX) g++ options: -O3 -fopenmp

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: 10000321150K300K450K600K750KSE +/- 5594.95, N = 3SE +/- 6558.55, N = 3SE +/- 8641.46, N = 3700554.6696009.5706035.5

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000321160K320K480K640K800KSE +/- 3366.02, N = 3SE +/- 1666.30, N = 3SE +/- 1902.33, N = 3723222.1725224.2721428.3

191 Results Shown

RealSR-NCNN:
  4x - No
  4x - Yes
Waifu2x-NCNN Vulkan:
  2x - 3 - No
  2x - 3 - Yes
Warsow
yquake2:
  OpenGL 3.x - 1920 x 1080
  Software CPU - 1920 x 1080
GLmark2
VKMark
Sockperf:
  Throughput
  Latency Ping Pong
  Latency Under Load
OSBench:
  Create Files
  Create Threads
  Launch Programs
  Create Processes
  Memory Allocations
LeelaChessZero:
  BLAS
  Eigen
CloverLeaf
CP2K Molecular Dynamics
CLOMP
NAMD
Dolfyn
Algebraic Multi-Grid Benchmark
FFTE
Timed HMMer Search
Incompact3D
Timed MAFFT Alignment
Monte Carlo Simulations of Ionised Nebulae
OpenFOAM
LAMMPS Molecular Dynamics Simulator
LULESH
WebP Image Encode:
  Default
  Quality 100
  Quality 100, Lossless
  Quality 100, Highest Compression
  Quality 100, Lossless, Highest Compression
simdjson:
  Kostya
  LargeRand
  PartialTweets
  DistinctUserID
BYTE Unix Benchmark
LZ4 Compression:
  1 - Compression Speed
  1 - Decompression Speed
  3 - Compression Speed
  3 - Decompression Speed
  9 - Compression Speed
  9 - Decompression Speed
Zstd Compression:
  3
  19
LibRaw
Crafty
oneDNN:
  IP Shapes 1D - f32 - CPU
  IP Shapes 3D - f32 - CPU
  IP Shapes 1D - u8s8f32 - CPU
  IP Shapes 3D - u8s8f32 - CPU
  Convolution Batch Shapes Auto - f32 - CPU
  Deconvolution Batch shapes_1d - f32 - CPU
  Deconvolution Batch shapes_3d - f32 - CPU
  Convolution Batch Shapes Auto - u8s8f32 - CPU
  Deconvolution Batch shapes_1d - u8s8f32 - CPU
  Deconvolution Batch shapes_3d - u8s8f32 - CPU
  Recurrent Neural Network Training - f32 - CPU
  Recurrent Neural Network Inference - f32 - CPU
  Recurrent Neural Network Training - u8s8f32 - CPU
  Recurrent Neural Network Inference - u8s8f32 - CPU
  Matrix Multiply Batch Shapes Transformer - f32 - CPU
  Recurrent Neural Network Training - bf16bf16bf16 - CPU
  Recurrent Neural Network Inference - bf16bf16bf16 - CPU
  Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPU
dav1d:
  Chimera 1080p
  Summer Nature 4K
  Summer Nature 1080p
  Chimera 1080p 10-bit
AOM AV1:
  Speed 4 Two-Pass
  Speed 6 Realtime
  Speed 6 Two-Pass
  Speed 8 Realtime
Embree:
  Pathtracer - Crown
  Pathtracer ISPC - Crown
  Pathtracer - Asian Dragon
  Pathtracer - Asian Dragon Obj
  Pathtracer ISPC - Asian Dragon
  Pathtracer ISPC - Asian Dragon Obj
Kvazaar:
  Bosphorus 4K - Medium
  Bosphorus 1080p - Medium
  Bosphorus 4K - Very Fast
  Bosphorus 4K - Ultra Fast
  Bosphorus 1080p - Very Fast
  Bosphorus 1080p - Ultra Fast
rav1e:
  5
  6
  10
x265:
  Bosphorus 4K
  Bosphorus 1080p
Coremark
Stockfish
asmFish
Timed FFmpeg Compilation
Timed Godot Game Engine Compilation
Build2
Numpy Benchmark
Timed Eigen Compilation
Monkey Audio Encoding
Opus Codec Encoding
eSpeak-NG Speech Engine
RNNoise
Google SynthMark
Node.js V8 Web Tooling Benchmark
KeyDB
GROMACS
TensorFlow Lite:
  SqueezeNet
  Inception V4
  NASNet Mobile
  Mobilenet Float
  Mobilenet Quant
  Inception ResNet V2
ASTC Encoder:
  Fast
  Medium
  Thorough
  Exhaustive
Basis Universal:
  ETC1S
  UASTC Level 0
  UASTC Level 2
SQLite Speedtest
Darktable:
  Boat - CPU-only
  Masskrug - CPU-only
  Server Rack - CPU-only
  Server Room - CPU-only
GIMP:
  resize
  rotate
  auto-levels
  unsharp-mask
Hugin
OCRMyPDF
RawTherapee
Redis:
  LPOP
  SADD
  LPUSH
  GET
  SET
Caffe:
  AlexNet - CPU - 100
  GoogleNet - CPU - 100
Mobile Neural Network:
  SqueezeNetV1.0
  resnet-v2-50
  MobileNetV2_224
  mobilenet-v1-1.0
  inception-v3
NCNN:
  CPU - mobilenet
  CPU-v2-v2 - mobilenet-v2
  CPU-v3-v3 - mobilenet-v3
  CPU - shufflenet-v2
  CPU - mnasnet
  CPU - efficientnet-b0
  CPU - blazeface
  CPU - googlenet
  CPU - vgg16
  CPU - resnet18
  CPU - alexnet
  CPU - resnet50
  CPU - yolov4-tiny
  CPU - squeezenet_ssd
  CPU - regnety_400m
  Vulkan GPU - mobilenet
  Vulkan GPU-v2-v2 - mobilenet-v2
  Vulkan GPU-v3-v3 - mobilenet-v3
  Vulkan GPU - shufflenet-v2
  Vulkan GPU - mnasnet
  Vulkan GPU - efficientnet-b0
  Vulkan GPU - blazeface
  Vulkan GPU - googlenet
  Vulkan GPU - vgg16
  Vulkan GPU - resnet18
  Vulkan GPU - alexnet
  Vulkan GPU - resnet50
  Vulkan GPU - yolov4-tiny
  Vulkan GPU - squeezenet_ssd
  Vulkan GPU - regnety_400m
TNN:
  CPU - MobileNet v2
  CPU - SqueezeNet v1.1
IndigoBench:
  CPU - Bedroom
  CPU - Supercar
Hierarchical INTegration
PHPBench
WavPack Audio Encoding
Sunflow Rendering System
Unpacking Firefox
Kripke
InfluxDB:
  4 - 10000 - 2,5000,1 - 10000
  64 - 10000 - 2,5000,1 - 10000