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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Python Tests 5 Tests
Scientific Computing 15 Tests
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Telephony 3 Tests
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Video Encoding 5 Tests
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January 16 2021
  18 Hours, 35 Minutes
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January 17 2021
  20 Hours, 52 Minutes
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January 18 2021
  19 Hours, 6 Minutes
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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 10.8.4100%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 EncodeBuild2CaffeCLOMPsimdjson

Ryzen 3 2200G 2021amg: aom-av1: Speed 4 Two-Passaom-av1: Speed 6 Realtimeaom-av1: Speed 6 Two-Passaom-av1: Speed 8 Realtimeasmfish: 1024 Hash Memory, 26 Depthastcenc: Fastastcenc: Mediumastcenc: Thoroughastcenc: Exhaustivebasis: ETC1Sbasis: UASTC Level 0basis: UASTC Level 2build2: Time To Compilebyte: Dhrystone 2caffe: AlexNet - CPU - 100caffe: GoogleNet - CPU - 100clomp: Static OMP Speedupcloverleaf: Lagrangian-Eulerian Hydrodynamicscoremark: CoreMark Size 666 - Iterations Per Secondcp2k: Fayalite-FIST Datacrafty: Elapsed Timedarktable: Boat - CPU-onlydarktable: Masskrug - CPU-onlydarktable: Server Rack - CPU-onlydarktable: Server Room - CPU-onlydav1d: Chimera 1080pdav1d: Summer Nature 4Kdav1d: Summer Nature 1080pdav1d: Chimera 1080p 10-bitdolfyn: Computational Fluid Dynamicsembree: Pathtracer - Crownembree: Pathtracer ISPC - Crownembree: Pathtracer - Asian Dragonembree: Pathtracer - Asian Dragon Objembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer ISPC - Asian Dragon Objespeak: Text-To-Speech Synthesisffte: N=256, 3D Complex FFT Routinegimp: resizegimp: rotategimp: auto-levelsgimp: unsharp-maskglmark2: 1920 x 1080synthmark: VoiceMark_100gromacs: Water Benchmarkhint: FLOAThugin: Panorama Photo Assistant + Stitching Timeincompact3d: Cylinderindigobench: CPU - Bedroomindigobench: CPU - Supercarinfluxdb: 4 - 10000 - 2,5000,1 - 10000influxdb: 64 - 10000 - 2,5000,1 - 10000keydb: kripke: kvazaar: Bosphorus 4K - Mediumkvazaar: Bosphorus 1080p - Mediumkvazaar: Bosphorus 4K - Very Fastkvazaar: Bosphorus 4K - Ultra Fastkvazaar: Bosphorus 1080p - Very Fastkvazaar: Bosphorus 1080p - Ultra Fastlammps: Rhodopsin Proteinlczero: BLASlczero: Eigenlibraw: Post-Processing Benchmarklulesh: compress-lz4: 1 - Compression Speedcompress-lz4: 1 - Decompression Speedcompress-lz4: 3 - Compression Speedcompress-lz4: 3 - Decompression Speedcompress-lz4: 9 - Compression Speedcompress-lz4: 9 - Decompression Speedmnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3encode-ape: WAV To APEmocassin: Dust 2D tau100.0namd: ATPase Simulation - 327,506 Atomsncnn: 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_400mnode-web-tooling: numpy: ocrmypdf: Processing 60 Page PDF Documentonednn: 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 - CPUopenfoam: Motorbike 30Mencode-opus: WAV To Opus Encodeosbench: Create Filesosbench: Create Threadsosbench: Launch Programsosbench: Create Processesosbench: Memory Allocationsphpbench: PHP Benchmark Suiterav1e: 5rav1e: 6rav1e: 10rawtherapee: Total Benchmark Timerealsr-ncnn: 4x - Norealsr-ncnn: 4x - Yesredis: LPOPredis: SADDredis: LPUSHredis: GETredis: SETrnnoise: simdjson: Kostyasimdjson: LargeRandsimdjson: PartialTweetssimdjson: DistinctUserIDsockperf: Throughputsockperf: Latency Ping Pongsockperf: Latency Under Loadsqlite-speedtest: Timed Time - Size 1,000stockfish: Total Timesunflow: Global Illumination + Image Synthesistensorflow-lite: SqueezeNettensorflow-lite: Inception V4tensorflow-lite: NASNet Mobiletensorflow-lite: Mobilenet Floattensorflow-lite: Mobilenet Quanttensorflow-lite: Inception ResNet V2build-eigen: Time To Compilebuild-ffmpeg: Time To Compilebuild-godot: Time To Compilehmmer: Pfam Database Searchmafft: Multiple Sequence Alignment - LSU RNAtnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.1unpack-firefox: firefox-84.0.source.tar.xzvkmark: 1920 x 1080waifu2x-ncnn: 2x - 3 - Nowaifu2x-ncnn: 2x - 3 - Yeswarsow: 1920 x 1080encode-wavpack: WAV To WavPackwebp: Defaultwebp: Quality 100webp: Quality 100, Losslesswebp: Quality 100, Highest Compressionwebp: Quality 100, Lossless, Highest Compressionx265: Bosphorus 4Kx265: Bosphorus 1080pyquake2: OpenGL 3.x - 1920 x 1080yquake2: Software CPU - 1920 x 1080compress-zstd: 3compress-zstd: 191232134915331.3810.132.2227.2077480479.7512.7784.33696.0582.06011.89886.479514.48235499453.0418771100842191.41102524.4421761448.589627427525.20624.1720.33920.695184.2551.92182.8952.5521.0692.76012.58193.31402.99033.24312.819935.13415392.80995192212.85514.48715.92417.3321849596.2540.333301333349.9938282.006810.9547120.4941.107706035.5721428.3265074.4548115631.496.513.946.8415.6027.012.60343244819.361180.09717994.308722.442.778554.342.228565.29.73250.2165.4247.39563.41515.9553426.7540746.8311.209.6712.6510.5017.073.3132.59117.1929.0423.3072.5559.2859.3919.1146.4010.889.5912.6310.3816.983.2532.56117.4629.1723.4671.6859.0059.2818.887.38242.3452.67516.542913.073614.63225.8141723.021322.541330.807338.839236.559629.70988437.127721.138193.617746.877.357448195.207913.6114.8215342.988.93618.24588814.92023581.52326026.19028181.7426845081060.8481.0822.573123.68463.028482.6092261210.921735687.331216336.462064794.831489969.2522.2380.380.350.450.465550556.92753.77581.22257181693.20646774564410173161123099463287335691310113.520182.189501.200127.14915.042279.339287.25523.84711994.11526.675158.115.0821.6482.59524.8948.87257.6704.8119.49814.192.92346.014.02142322331.3810.122.2227.1878028289.7412.8384.61697.5082.17812.05486.540516.51635791748.5416721103202.0191.45101765.5669261461.853625501525.90124.5180.34221.008184.1752.00183.5052.3921.1392.76592.56703.31132.96823.25042.837135.31915755.58527176212.86614.47015.85317.3171851596.6150.330301687480.1884283.581821.0557250.4941.098696009.5725224.2267212.9531177171.496.513.946.8515.5227.072.58637438019.661208.38668015.398646.342.348547.841.028552.19.61350.2695.4197.52663.99715.9943406.7990246.4910.919.4912.8910.3416.763.3332.79119.3829.0423.4273.1459.4259.7118.8747.0111.309.6912.9810.4416.953.3132.64118.9129.0823.2474.1059.4059.1619.067.74241.3652.74116.555813.168514.87005.8412923.679122.314431.414738.972835.846129.88898277.537794.138356.197725.637.360618438.647667.9415.0825339.548.92318.31584614.82327881.96751326.47956281.9993825060550.8441.0832.566123.40563.023482.8391258380.501758200.501213155.041931045.201486411.6322.6930.380.350.450.465596636.75152.75881.42356282203.14846195563899433172133062703186855697083113.654183.024503.977127.64515.000279.626287.06323.79911994.11026.685159.415.0771.6622.60124.9578.87157.2164.8319.60807.293.32358.014.22140726331.4010.252.2427.2976690439.8012.7584.49695.2482.07611.86386.340514.79935427649.2415731101572191.01102339.4086411452.469632206925.45124.1940.34420.739183.8852.09184.8153.5120.9882.77792.58283.34322.97823.24822.815135.31215437.46857899812.82614.42415.89417.3281852593.9090.326301185316.5890982.188820.3228150.4981.106700554.6723222.1269044.481.506.503.956.8315.6227.052.61335337719.791208.01858022.488690.141.818547.241.238562.89.86750.4895.3987.31363.26915.9953416.8328446.3211.049.5912.7010.2516.893.2932.43117.4529.1823.5171.8259.2859.3418.7546.3210.689.6012.7510.4316.903.3332.59118.0429.2823.4871.6959.2859.5019.077.38243.2652.98616.610813.366115.19755.7911923.669722.661930.820838.505533.058729.12108342.737837.728419.827701.757.313518426.847750.4915.5619338.278.91518.44186214.90910882.07321226.85705885.6320065041590.8391.0892.639123.33963.002482.5511275489.171734495.831223284.421930168.381472539.6722.5800.380.350.450.465576656.79050.69981.93356485893.30246740464685673157903132163271875689070112.964182.601502.608127.38515.035279.278286.14023.80611964.09726.673159.415.1741.6572.59024.9008.86957.4524.8319.71807.993.32324.214.2OpenBenchmarking.org

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

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

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

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: Fast1233691215SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 39.759.749.801. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Fast1233691215Min: 9.68 / Avg: 9.75 / Max: 9.88Min: 9.66 / Avg: 9.74 / Max: 9.81Min: 9.7 / Avg: 9.8 / Max: 9.921. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Medium1233691215SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 312.7712.8312.751. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Medium12348121620Min: 12.71 / Avg: 12.77 / Max: 12.8Min: 12.76 / Avg: 12.83 / Max: 12.9Min: 12.7 / Avg: 12.75 / Max: 12.811. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Thorough12320406080100SE +/- 0.21, N = 3SE +/- 0.21, N = 3SE +/- 0.04, N = 384.3384.6184.491. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Thorough1231632486480Min: 83.94 / Avg: 84.33 / Max: 84.65Min: 84.2 / Avg: 84.61 / Max: 84.82Min: 84.41 / Avg: 84.49 / Max: 84.561. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Exhaustive123150300450600750SE +/- 1.18, N = 3SE +/- 0.48, N = 3SE +/- 0.20, N = 3696.05697.50695.241. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Exhaustive123120240360480600Min: 694.33 / Avg: 696.05 / Max: 698.3Min: 696.81 / Avg: 697.5 / Max: 698.41Min: 695.01 / Avg: 695.24 / Max: 695.641. (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: ETC1S12320406080100SE +/- 0.05, N = 3SE +/- 0.14, N = 3SE +/- 0.07, N = 382.0682.1882.081. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: ETC1S1231632486480Min: 81.97 / Avg: 82.06 / Max: 82.14Min: 81.96 / Avg: 82.18 / Max: 82.45Min: 81.96 / Avg: 82.08 / Max: 82.191. (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 01233691215SE +/- 0.02, N = 3SE +/- 0.09, N = 3SE +/- 0.00, N = 311.9012.0511.861. (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 012348121620Min: 11.87 / Avg: 11.9 / Max: 11.94Min: 11.93 / Avg: 12.05 / Max: 12.24Min: 11.86 / Avg: 11.86 / Max: 11.871. (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 212320406080100SE +/- 0.24, N = 3SE +/- 0.18, N = 3SE +/- 0.16, N = 386.4886.5486.341. (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 21231632486480Min: 86.04 / Avg: 86.48 / Max: 86.86Min: 86.19 / Avg: 86.54 / Max: 86.74Min: 86.05 / Avg: 86.34 / Max: 86.591. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

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

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

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: 1001239K18K27K36K45KSE +/- 193.32, N = 3SE +/- 90.86, N = 3SE +/- 137.35, N = 34187741672415731. (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: AlexNet - Acceleration: CPU - Iterations: 1001237K14K21K28K35KMin: 41557 / Avg: 41877.33 / Max: 42225Min: 41491 / Avg: 41671.67 / Max: 41779Min: 41305 / Avg: 41572.67 / Max: 417601. (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: 10012320K40K60K80K100KSE +/- 106.80, N = 3SE +/- 38.96, N = 3SE +/- 223.03, N = 31100841103201101571. (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: 10012320K40K60K80K100KMin: 109887 / Avg: 110084 / Max: 110254Min: 110276 / Avg: 110320.33 / Max: 110398Min: 109747 / Avg: 110157.33 / Max: 1105141. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

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

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

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

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

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

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-only123612182430SE +/- 0.09, N = 3SE +/- 0.25, N = 13SE +/- 0.09, N = 325.2125.9025.45
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Boat - Acceleration: CPU-only123612182430Min: 25.07 / Avg: 25.21 / Max: 25.38Min: 25.34 / Avg: 25.9 / Max: 28.69Min: 25.27 / Avg: 25.45 / Max: 25.55

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Masskrug - Acceleration: CPU-only123612182430SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.08, N = 324.1724.5224.19
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Masskrug - Acceleration: CPU-only123612182430Min: 24.12 / Avg: 24.17 / Max: 24.23Min: 24.45 / Avg: 24.52 / Max: 24.6Min: 24.06 / Avg: 24.19 / Max: 24.34

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Server Rack - Acceleration: CPU-only1230.07740.15480.23220.30960.387SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.004, N = 30.3390.3420.344
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Server Rack - Acceleration: CPU-only12312345Min: 0.34 / Avg: 0.34 / Max: 0.34Min: 0.34 / Avg: 0.34 / Max: 0.34Min: 0.34 / Avg: 0.34 / Max: 0.35

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Server Room - Acceleration: CPU-only123510152025SE +/- 0.21, N = 3SE +/- 0.12, N = 3SE +/- 0.19, N = 320.7021.0120.74
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Server Room - Acceleration: CPU-only123510152025Min: 20.28 / Avg: 20.7 / Max: 20.94Min: 20.77 / Avg: 21.01 / Max: 21.18Min: 20.36 / Avg: 20.74 / Max: 20.96

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

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

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

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

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

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: resize1233691215SE +/- 0.09, N = 3SE +/- 0.07, N = 3SE +/- 0.10, N = 312.8612.8712.83
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: resize12348121620Min: 12.74 / Avg: 12.86 / Max: 13.04Min: 12.74 / Avg: 12.87 / Max: 12.98Min: 12.71 / Avg: 12.83 / Max: 13.03

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: rotate12348121620SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 314.4914.4714.42
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: rotate12348121620Min: 14.48 / Avg: 14.49 / Max: 14.51Min: 14.41 / Avg: 14.47 / Max: 14.54Min: 14.38 / Avg: 14.42 / Max: 14.49

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: auto-levels12348121620SE +/- 0.01, N = 3SE +/- 0.11, N = 3SE +/- 0.06, N = 315.9215.8515.89
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: auto-levels12348121620Min: 15.9 / Avg: 15.92 / Max: 15.94Min: 15.65 / Avg: 15.85 / Max: 16.01Min: 15.79 / Avg: 15.89 / Max: 15.99

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: unsharp-mask12348121620SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 317.3317.3217.33
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: unsharp-mask12348121620Min: 17.3 / Avg: 17.33 / Max: 17.35Min: 17.23 / Avg: 17.32 / Max: 17.37Min: 17.29 / Avg: 17.33 / Max: 17.37

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

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

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

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: FLOAT12360M120M180M240M300MSE +/- 252430.64, N = 3SE +/- 109501.99, N = 3SE +/- 702868.97, N = 3301333349.99301687480.19301185316.591. (CC) gcc options: -O3 -march=native -lm
OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOAT12350M100M150M200M250MMin: 300870890 / Avg: 301333349.99 / Max: 301739970.27Min: 301490385.92 / Avg: 301687480.19 / Max: 301868716.18Min: 299847318.01 / Avg: 301185316.59 / Max: 302227671.231. (CC) gcc options: -O3 -march=native -lm

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 Time12320406080100SE +/- 0.57, N = 3SE +/- 0.26, N = 3SE +/- 0.13, N = 382.0183.5882.19
OpenBenchmarking.orgSeconds, Fewer Is BetterHuginPanorama Photo Assistant + Stitching Time1231632486480Min: 81.07 / Avg: 82.01 / Max: 83.05Min: 83.18 / Avg: 83.58 / Max: 84.08Min: 81.94 / Avg: 82.19 / Max: 82.32

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

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: Bedroom1230.11210.22420.33630.44840.5605SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.002, N = 30.4940.4940.498
OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: Bedroom123246810Min: 0.49 / Avg: 0.49 / Max: 0.5Min: 0.49 / Avg: 0.49 / Max: 0.5Min: 0.5 / Avg: 0.5 / Max: 0.5

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: Supercar1230.24910.49820.74730.99641.2455SE +/- 0.004, N = 3SE +/- 0.009, N = 3SE +/- 0.002, N = 31.1071.0981.106
OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: Supercar123246810Min: 1.1 / Avg: 1.11 / Max: 1.11Min: 1.08 / Avg: 1.1 / Max: 1.11Min: 1.1 / Avg: 1.11 / Max: 1.11

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: 10000123150K300K450K600K750KSE +/- 8641.46, N = 3SE +/- 6558.55, N = 3SE +/- 5594.95, N = 3706035.5696009.5700554.6
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000123120K240K360K480K600KMin: 695838.4 / Avg: 706035.5 / Max: 723218.7Min: 689123.7 / Avg: 696009.53 / Max: 709121.1Min: 694830.4 / Avg: 700554.6 / Max: 711743.5

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000123160K320K480K640K800KSE +/- 1902.33, N = 3SE +/- 1666.30, N = 3SE +/- 3366.02, N = 3721428.3725224.2723222.1
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000123130K260K390K520K650KMin: 718969.3 / Avg: 721428.33 / Max: 725172.1Min: 722536.1 / Avg: 725224.2 / Max: 728274.2Min: 717363.4 / Avg: 723222.07 / Max: 729023.2

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

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 1.2.4121000K2000K3000K4000K5000KSE +/- 36406.50, N = 2SE +/- 35494.54, N = 3481156331177171. (CXX) g++ options: -O3 -fopenmp
OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.412800K1600K2400K3200K4000KMin: 4775156 / Avg: 4811562.5 / Max: 4847969Min: 3047023 / Avg: 3117717.33 / Max: 31586611. (CXX) g++ options: -O3 -fopenmp

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

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

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

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

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

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

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: SqueezeNetV1.01233691215SE +/- 0.127, N = 3SE +/- 0.039, N = 3SE +/- 0.066, N = 39.7329.6139.867MIN: 8.67 / MAX: 18.76MIN: 8.69 / MAX: 20.7MIN: 8.73 / MAX: 39.421. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: SqueezeNetV1.01233691215Min: 9.59 / Avg: 9.73 / Max: 9.99Min: 9.56 / Avg: 9.61 / Max: 9.69Min: 9.76 / Avg: 9.87 / Max: 9.981. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: resnet-v2-501231122334455SE +/- 0.51, N = 3SE +/- 0.33, N = 3SE +/- 0.27, N = 350.2250.2750.49MIN: 47.21 / MAX: 83.29MIN: 47.5 / MAX: 72.85MIN: 47.85 / MAX: 147.841. (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-v2-501231020304050Min: 49.54 / Avg: 50.22 / Max: 51.22Min: 49.61 / Avg: 50.27 / Max: 50.65Min: 50.03 / Avg: 50.49 / Max: 50.971. (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_2241231.22042.44083.66124.88166.102SE +/- 0.019, N = 3SE +/- 0.038, N = 3SE +/- 0.037, N = 35.4245.4195.398MIN: 4.8 / MAX: 14.75MIN: 4.88 / MAX: 15.69MIN: 4.83 / MAX: 15.641. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: MobileNetV2_224123246810Min: 5.4 / Avg: 5.42 / Max: 5.46Min: 5.36 / Avg: 5.42 / Max: 5.49Min: 5.33 / Avg: 5.4 / Max: 5.441. (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-v1-1.0123246810SE +/- 0.021, N = 3SE +/- 0.065, N = 3SE +/- 0.030, N = 37.3957.5267.313MIN: 6.57 / MAX: 16.47MIN: 6.6 / MAX: 20.05MIN: 6.61 / MAX: 17.321. (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-v1-1.01233691215Min: 7.35 / Avg: 7.39 / Max: 7.42Min: 7.4 / Avg: 7.53 / Max: 7.62Min: 7.28 / Avg: 7.31 / Max: 7.371. (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-v31231428425670SE +/- 0.18, N = 3SE +/- 0.32, N = 3SE +/- 0.19, N = 363.4264.0063.27MIN: 60.02 / MAX: 120.02MIN: 60.33 / MAX: 93.06MIN: 60.45 / MAX: 98.451. (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-v31231326395265Min: 63.23 / Avg: 63.42 / Max: 63.77Min: 63.62 / Avg: 64 / Max: 64.64Min: 63.01 / Avg: 63.27 / Max: 63.641. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

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

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

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

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: mobilenet1231122334455SE +/- 0.46, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 346.8346.4946.32MIN: 42.34 / MAX: 64.41MIN: 42.72 / MAX: 62.2MIN: 43.57 / MAX: 62.161. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mobilenet1231020304050Min: 46.24 / Avg: 46.83 / Max: 47.73Min: 46.4 / Avg: 46.49 / Max: 46.62Min: 46.22 / Avg: 46.32 / Max: 46.381. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2 - Model: mobilenet-v21233691215SE +/- 0.13, N = 3SE +/- 0.08, N = 3SE +/- 0.05, N = 311.2010.9111.04MIN: 8.97 / MAX: 20.5MIN: 8.91 / MAX: 18.07MIN: 8.96 / MAX: 21.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2 - Model: mobilenet-v21233691215Min: 10.99 / Avg: 11.2 / Max: 11.45Min: 10.77 / Avg: 10.91 / Max: 11.05Min: 10.94 / Avg: 11.04 / Max: 11.131. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3 - Model: mobilenet-v31233691215SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 39.679.499.59MIN: 7.8 / MAX: 15.65MIN: 7.78 / MAX: 14.76MIN: 7.81 / MAX: 16.291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3 - Model: mobilenet-v31233691215Min: 9.54 / Avg: 9.67 / Max: 9.75Min: 9.44 / Avg: 9.49 / Max: 9.59Min: 9.53 / Avg: 9.59 / Max: 9.641. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: shufflenet-v21233691215SE +/- 0.12, N = 3SE +/- 0.14, N = 3SE +/- 0.14, N = 312.6512.8912.70MIN: 10.41 / MAX: 23.3MIN: 10.42 / MAX: 26.77MIN: 10.47 / MAX: 19.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: shufflenet-v212348121620Min: 12.45 / Avg: 12.65 / Max: 12.85Min: 12.64 / Avg: 12.89 / Max: 13.12Min: 12.48 / Avg: 12.7 / Max: 12.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mnasnet1233691215SE +/- 0.05, N = 3SE +/- 0.10, N = 3SE +/- 0.06, N = 310.5010.3410.25MIN: 8.45 / MAX: 18.4MIN: 8.42 / MAX: 16.24MIN: 8.43 / MAX: 24.691. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mnasnet1233691215Min: 10.4 / Avg: 10.5 / Max: 10.57Min: 10.24 / Avg: 10.34 / Max: 10.54Min: 10.15 / Avg: 10.25 / Max: 10.351. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: efficientnet-b012348121620SE +/- 0.15, N = 3SE +/- 0.03, N = 3SE +/- 0.12, N = 317.0716.7616.89MIN: 14.1 / MAX: 30.1MIN: 13.96 / MAX: 31.87MIN: 14.11 / MAX: 30.241. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: efficientnet-b012348121620Min: 16.87 / Avg: 17.07 / Max: 17.36Min: 16.71 / Avg: 16.76 / Max: 16.81Min: 16.65 / Avg: 16.89 / Max: 17.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: blazeface1230.74931.49862.24792.99723.7465SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 33.313.333.29MIN: 2.64 / MAX: 9.91MIN: 2.62 / MAX: 5.11MIN: 2.73 / MAX: 4.721. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: blazeface123246810Min: 3.29 / Avg: 3.31 / Max: 3.33Min: 3.27 / Avg: 3.33 / Max: 3.38Min: 3.23 / Avg: 3.29 / Max: 3.351. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: googlenet123816243240SE +/- 0.18, N = 3SE +/- 0.05, N = 3SE +/- 0.18, N = 332.5932.7932.43MIN: 28.72 / MAX: 51.96MIN: 28.77 / MAX: 48.75MIN: 28.44 / MAX: 46.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: googlenet123714212835Min: 32.36 / Avg: 32.59 / Max: 32.94Min: 32.72 / Avg: 32.79 / Max: 32.9Min: 32.19 / Avg: 32.43 / Max: 32.771. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: vgg16123306090120150SE +/- 0.18, N = 3SE +/- 0.23, N = 3SE +/- 0.17, N = 3117.19119.38117.45MIN: 112.25 / MAX: 143.19MIN: 113.9 / MAX: 142.52MIN: 112.54 / MAX: 135.061. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: vgg1612320406080100Min: 116.85 / Avg: 117.19 / Max: 117.45Min: 118.95 / Avg: 119.38 / Max: 119.72Min: 117.14 / Avg: 117.45 / Max: 117.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet18123714212835SE +/- 0.16, N = 3SE +/- 0.12, N = 3SE +/- 0.33, N = 329.0429.0429.18MIN: 25.89 / MAX: 42.02MIN: 25.69 / MAX: 36.07MIN: 25.64 / MAX: 44.221. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet18123612182430Min: 28.76 / Avg: 29.04 / Max: 29.32Min: 28.84 / Avg: 29.04 / Max: 29.24Min: 28.6 / Avg: 29.18 / Max: 29.761. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: alexnet123612182430SE +/- 0.11, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 323.3023.4223.51MIN: 21.24 / MAX: 38.11MIN: 21.27 / MAX: 37.51MIN: 21.21 / MAX: 37.481. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: alexnet123510152025Min: 23.15 / Avg: 23.3 / Max: 23.51Min: 23.28 / Avg: 23.42 / Max: 23.51Min: 23.4 / Avg: 23.51 / Max: 23.641. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet501231632486480SE +/- 0.82, N = 3SE +/- 0.39, N = 3SE +/- 0.19, N = 372.5573.1471.82MIN: 66.75 / MAX: 91.97MIN: 66.24 / MAX: 103.74MIN: 65.77 / MAX: 87.351. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet501231428425670Min: 71.55 / Avg: 72.55 / Max: 74.18Min: 72.36 / Avg: 73.14 / Max: 73.58Min: 71.45 / Avg: 71.82 / Max: 72.11. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: yolov4-tiny1231326395265SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 359.2859.4259.28MIN: 55.69 / MAX: 71.74MIN: 55.13 / MAX: 75.95MIN: 55.36 / MAX: 72.941. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: yolov4-tiny1231224364860Min: 59.17 / Avg: 59.28 / Max: 59.35Min: 59.26 / Avg: 59.42 / Max: 59.54Min: 59.2 / Avg: 59.28 / Max: 59.41. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: squeezenet_ssd1231326395265SE +/- 0.05, N = 3SE +/- 0.20, N = 3SE +/- 0.27, N = 359.3959.7159.34MIN: 53.07 / MAX: 79.98MIN: 52.9 / MAX: 78.52MIN: 52.64 / MAX: 71.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: squeezenet_ssd1231224364860Min: 59.31 / Avg: 59.39 / Max: 59.47Min: 59.34 / Avg: 59.71 / Max: 60.01Min: 58.87 / Avg: 59.34 / Max: 59.821. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: regnety_400m123510152025SE +/- 0.07, N = 3SE +/- 0.10, N = 3SE +/- 0.18, N = 319.1118.8718.75MIN: 16.69 / MAX: 35.81MIN: 16.81 / MAX: 33.23MIN: 16.84 / MAX: 32.851. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: regnety_400m123510152025Min: 19 / Avg: 19.11 / Max: 19.25Min: 18.76 / Avg: 18.87 / Max: 19.06Min: 18.41 / Avg: 18.75 / Max: 19.021. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: mobilenet1231122334455SE +/- 0.03, N = 3SE +/- 0.66, N = 4SE +/- 0.07, N = 346.4047.0146.32MIN: 42.8 / MAX: 59.97MIN: 42.66 / MAX: 60.93MIN: 42.77 / MAX: 61.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: mobilenet1231020304050Min: 46.35 / Avg: 46.4 / Max: 46.45Min: 46.22 / Avg: 47.01 / Max: 48.98Min: 46.21 / Avg: 46.32 / Max: 46.441. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU-v2-v2 - Model: mobilenet-v21233691215SE +/- 0.01, N = 3SE +/- 0.21, N = 4SE +/- 0.38, N = 310.8811.3010.68MIN: 8.93 / MAX: 27.73MIN: 8.86 / MAX: 23.26MIN: 8.89 / MAX: 17.411. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU-v2-v2 - Model: mobilenet-v21233691215Min: 10.86 / Avg: 10.88 / Max: 10.91Min: 10.97 / Avg: 11.3 / Max: 11.92Min: 9.93 / Avg: 10.68 / Max: 11.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU-v3-v3 - Model: mobilenet-v31233691215SE +/- 0.13, N = 3SE +/- 0.14, N = 4SE +/- 0.09, N = 39.599.699.60MIN: 7.78 / MAX: 22.63MIN: 7.81 / MAX: 18.31MIN: 7.73 / MAX: 19.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU-v3-v3 - Model: mobilenet-v31233691215Min: 9.4 / Avg: 9.59 / Max: 9.83Min: 9.46 / Avg: 9.69 / Max: 10.08Min: 9.47 / Avg: 9.6 / Max: 9.781. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: shufflenet-v21233691215SE +/- 0.09, N = 3SE +/- 0.16, N = 4SE +/- 0.20, N = 312.6312.9812.75MIN: 10.39 / MAX: 25.47MIN: 10.26 / MAX: 24.78MIN: 10.36 / MAX: 21.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: shufflenet-v212348121620Min: 12.48 / Avg: 12.63 / Max: 12.8Min: 12.66 / Avg: 12.98 / Max: 13.43Min: 12.42 / Avg: 12.75 / Max: 13.121. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: mnasnet1233691215SE +/- 0.08, N = 3SE +/- 0.20, N = 4SE +/- 0.08, N = 310.3810.4410.43MIN: 8.43 / MAX: 17.05MIN: 8.36 / MAX: 26.87MIN: 8.39 / MAX: 21.71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: mnasnet1233691215Min: 10.24 / Avg: 10.38 / Max: 10.53Min: 10.05 / Avg: 10.44 / Max: 10.98Min: 10.3 / Avg: 10.43 / Max: 10.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: efficientnet-b012348121620SE +/- 0.07, N = 3SE +/- 0.26, N = 4SE +/- 0.14, N = 316.9816.9516.90MIN: 14.01 / MAX: 31.1MIN: 14.04 / MAX: 27.15MIN: 13.97 / MAX: 30.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: efficientnet-b012348121620Min: 16.91 / Avg: 16.98 / Max: 17.11Min: 16.59 / Avg: 16.95 / Max: 17.7Min: 16.75 / Avg: 16.9 / Max: 17.181. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: blazeface1230.74931.49862.24792.99723.7465SE +/- 0.01, N = 3SE +/- 0.02, N = 4SE +/- 0.03, N = 33.253.313.33MIN: 2.61 / MAX: 14.28MIN: 2.6 / MAX: 4.93MIN: 2.62 / MAX: 5.71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: blazeface123246810Min: 3.23 / Avg: 3.25 / Max: 3.28Min: 3.26 / Avg: 3.31 / Max: 3.35Min: 3.29 / Avg: 3.33 / Max: 3.391. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: googlenet123816243240SE +/- 0.20, N = 3SE +/- 0.12, N = 4SE +/- 0.13, N = 332.5632.6432.59MIN: 28.77 / MAX: 47.43MIN: 28.94 / MAX: 42.38MIN: 28.42 / MAX: 45.731. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: googlenet123714212835Min: 32.21 / Avg: 32.56 / Max: 32.9Min: 32.33 / Avg: 32.64 / Max: 32.83Min: 32.46 / Avg: 32.59 / Max: 32.851. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: vgg16123306090120150SE +/- 0.37, N = 3SE +/- 0.24, N = 4SE +/- 0.16, N = 3117.46118.91118.04MIN: 111.97 / MAX: 149.37MIN: 113.22 / MAX: 141.78MIN: 112.22 / MAX: 141.411. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: vgg1612320406080100Min: 116.8 / Avg: 117.46 / Max: 118.08Min: 118.22 / Avg: 118.91 / Max: 119.25Min: 117.87 / Avg: 118.04 / Max: 118.361. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: resnet18123714212835SE +/- 0.26, N = 3SE +/- 0.14, N = 4SE +/- 0.02, N = 329.1729.0829.28MIN: 26 / MAX: 40.97MIN: 25.74 / MAX: 44.35MIN: 25.57 / MAX: 39.411. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: resnet18123612182430Min: 28.72 / Avg: 29.17 / Max: 29.61Min: 28.92 / Avg: 29.08 / Max: 29.49Min: 29.24 / Avg: 29.28 / Max: 29.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: alexnet123612182430SE +/- 0.08, N = 3SE +/- 0.03, N = 4SE +/- 0.02, N = 323.4623.2423.48MIN: 21.29 / MAX: 37.36MIN: 21.11 / MAX: 37.35MIN: 21.25 / MAX: 36.411. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: alexnet123510152025Min: 23.36 / Avg: 23.46 / Max: 23.61Min: 23.18 / Avg: 23.24 / Max: 23.32Min: 23.44 / Avg: 23.48 / Max: 23.511. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: resnet501231632486480SE +/- 0.20, N = 3SE +/- 0.63, N = 4SE +/- 0.29, N = 371.6874.1071.69MIN: 65.87 / MAX: 90.56MIN: 66.26 / MAX: 110.26MIN: 66.47 / MAX: 91.181. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: resnet501231428425670Min: 71.39 / Avg: 71.68 / Max: 72.06Min: 73.21 / Avg: 74.1 / Max: 75.96Min: 71.39 / Avg: 71.69 / Max: 72.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: yolov4-tiny1231326395265SE +/- 0.04, N = 3SE +/- 0.06, N = 4SE +/- 0.16, N = 359.0059.4059.28MIN: 55.05 / MAX: 74.18MIN: 55.12 / MAX: 75.24MIN: 54.59 / MAX: 74.871. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: yolov4-tiny1231224364860Min: 58.93 / Avg: 59 / Max: 59.06Min: 59.26 / Avg: 59.4 / Max: 59.57Min: 58.98 / Avg: 59.28 / Max: 59.51. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: squeezenet_ssd1231326395265SE +/- 0.08, N = 3SE +/- 0.14, N = 4SE +/- 0.16, N = 359.2859.1659.50MIN: 53.06 / MAX: 77.54MIN: 51.95 / MAX: 72.82MIN: 52.65 / MAX: 71.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: squeezenet_ssd1231224364860Min: 59.18 / Avg: 59.28 / Max: 59.43Min: 58.89 / Avg: 59.16 / Max: 59.52Min: 59.19 / Avg: 59.5 / Max: 59.731. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: regnety_400m123510152025SE +/- 0.09, N = 3SE +/- 0.15, N = 4SE +/- 0.01, N = 318.8819.0619.07MIN: 16.76 / MAX: 26.52MIN: 16.61 / MAX: 34.07MIN: 16.77 / MAX: 34.771. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: regnety_400m123510152025Min: 18.7 / Avg: 18.88 / Max: 19Min: 18.82 / Avg: 19.06 / Max: 19.49Min: 19.05 / Avg: 19.07 / Max: 19.081. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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

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

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 Document1231224364860SE +/- 0.13, N = 3SE +/- 0.08, N = 3SE +/- 0.10, N = 352.6852.7452.99
OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 10.3.1+dfsgProcessing 60 Page PDF Document1231122334455Min: 52.43 / Avg: 52.67 / Max: 52.89Min: 52.6 / Avg: 52.74 / Max: 52.89Min: 52.79 / Avg: 52.99 / Max: 53.13

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: CPU123246810