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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Speech 3 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 SynthMarkInfluxDBoneDNNTimed HMMer SearchCloverLeafAlgebraic Multi-Grid BenchmarkMobile Neural NetworkTimed MAFFT AlignmentTNNEmbreeMonkey Audio EncodingVKMarkRawTherapeeOpus Codec EncodingGIMPWaifu2x-NCNN VulkanUnpacking Firefoxyquake2ASTC EncoderRealSR-NCNNKvazaarHierarchical INTegrationGLmark2WebP Image EncodeCaffeBuild2simdjsonCLOMP

Ryzen 3 2200G 2021redis: LPOPkripke: lczero: BLASlczero: Eigenredis: GETonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUsunflow: Global Illumination + Image Synthesisnode-web-tooling: osbench: Memory Allocationsonednn: IP Shapes 1D - u8s8f32 - CPUncnn: Vulkan GPU - resnet50onednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUtensorflow-lite: Mobilenet Quantonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUmnn: mobilenet-v1-1.0onednn: Convolution Batch Shapes Auto - f32 - CPUrav1e: 10ncnn: Vulkan GPU - shufflenet-v2onednn: Recurrent Neural Network Training - u8s8f32 - CPUdarktable: Boat - CPU-onlyncnn: CPU-v2-v2 - mobilenet-v2mnn: SqueezeNetV1.0onednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUsockperf: Latency Ping Pongosbench: Create Processesncnn: Vulkan GPU - blazefacencnn: CPU - mnasnetlulesh: ffte: N=256, 3D Complex FFT Routinecompress-lz4: 3 - Compression Speedtensorflow-lite: Mobilenet Floatonednn: IP Shapes 3D - f32 - CPUlibraw: Post-Processing Benchmarkgromacs: Water Benchmarkdav1d: Chimera 1080p 10-bitrnnoise: onednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUhugin: Panorama Photo Assistant + Stitching Timencnn: CPU - regnety_400mncnn: CPU - shufflenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU - vgg16ncnn: CPU - efficientnet-b0ncnn: CPU - resnet50asmfish: 1024 Hash Memory, 26 Depthbasis: UASTC Level 0stockfish: Total Timeonednn: Deconvolution Batch shapes_1d - f32 - CPUdarktable: Server Room - CPU-onlyonednn: Recurrent Neural Network Inference - f32 - CPUkeydb: ncnn: Vulkan GPU - mobilenetdarktable: Server Rack - CPU-onlycompress-zstd: 3aom-av1: Speed 4 Two-Passinfluxdb: 4 - 10000 - 2,5000,1 - 10000darktable: Masskrug - CPU-onlycompress-zstd: 19openfoam: Motorbike 30Mredis: SADDaom-av1: Speed 6 Realtimetensorflow-lite: SqueezeNetincompact3d: Cylinderncnn: Vulkan GPU - vgg16tensorflow-lite: Inception V4ncnn: CPU - blazefaceonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUredis: SETnamd: ATPase Simulation - 327,506 Atomsmnn: inception-v3x265: Bosphorus 1080pncnn: CPU - googlenetncnn: CPU - mobilenetosbench: Create Filesrav1e: 5crafty: Elapsed Timedav1d: Summer Nature 1080plammps: Rhodopsin Proteinncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU - alexnetbyte: Dhrystone 2ncnn: Vulkan GPU - regnety_400membree: Pathtracer - Asian Dragoncp2k: Fayalite-FIST Datancnn: CPU - alexnetaom-av1: Speed 6 Two-Passcompress-lz4: 1 - Decompression Speedsqlite-speedtest: Timed Time - Size 1,000onednn: IP Shapes 3D - u8s8f32 - CPUyquake2: OpenGL 3.x - 1920 x 1080webp: Defaultredis: LPUSHsockperf: Throughputwarsow: 1920 x 1080indigobench: CPU - Supercarindigobench: CPU - Bedroomwebp: Quality 100, Lossless, Highest Compressionnumpy: phpbench: PHP Benchmark Suiteembree: Pathtracer ISPC - Asian Dragon Objcoremark: CoreMark Size 666 - Iterations Per Secondembree: Pathtracer - Asian Dragon Objcaffe: AlexNet - CPU - 100dolfyn: Computational Fluid Dynamicsncnn: Vulkan GPU - resnet18ncnn: Vulkan GPU - yolov4-tinyosbench: Launch Programskvazaar: Bosphorus 4K - Mediumosbench: Create Threadsrav1e: 6embree: Pathtracer - Crownkvazaar: Bosphorus 1080p - Very Fastonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUencode-wavpack: WAV To WavPackastcenc: Mediumncnn: CPU - squeezenet_ssdastcenc: Fastembree: Pathtracer ISPC - Crownbuild-eigen: Time To Compileocrmypdf: Processing 60 Page PDF Documentmocassin: Dust 2D tau100.0onednn: Recurrent Neural Network Inference - u8s8f32 - CPUncnn: Vulkan GPU - mnasnetncnn: Vulkan GPU - squeezenet_ssdbuild-godot: Time To Compilemnn: resnet-v2-50espeak: Text-To-Speech Synthesisinfluxdb: 64 - 10000 - 2,5000,1 - 10000ncnn: CPU - resnet18mnn: MobileNetV2_224ncnn: Vulkan GPU - efficientnet-b0build-ffmpeg: Time To Compilesynthmark: VoiceMark_100tensorflow-lite: NASNet Mobilegimp: auto-levelswaifu2x-ncnn: 2x - 3 - Nogimp: rotateyquake2: Software CPU - 1920 x 1080webp: Quality 100x265: Bosphorus 4Konednn: IP Shapes 1D - f32 - CPUaom-av1: Speed 8 Realtimebuild2: Time To Compilehmmer: Pfam Database Searchtnn: CPU - SqueezeNet v1.1compress-lz4: 1 - Compression Speedamg: astcenc: Thoroughdav1d: Summer Nature 4Kastcenc: Exhaustivegimp: resizekvazaar: Bosphorus 4K - Ultra Fastmafft: Multiple Sequence Alignment - LSU RNArawtherapee: Total Benchmark Timekvazaar: Bosphorus 4K - Very Fastwebp: Quality 100, Losslessvkmark: 1920 x 1080encode-ape: WAV To APEncnn: Vulkan GPU - googlenetncnn: CPU - yolov4-tinyencode-opus: WAV To Opus Encodebasis: UASTC Level 2cloverleaf: Lagrangian-Eulerian Hydrodynamicsembree: Pathtracer ISPC - Asian Dragonkvazaar: Bosphorus 1080p - Ultra Fastcaffe: GoogleNet - CPU - 100unpack-firefox: firefox-84.0.source.tar.xzdav1d: Chimera 1080phint: FLOATglmark2: 1920 x 1080kvazaar: Bosphorus 1080p - Mediumcompress-lz4: 9 - Decompression Speedbasis: ETC1Stensorflow-lite: Inception ResNet V2tnn: CPU - MobileNet v2gimp: unsharp-maskcompress-lz4: 3 - Decompression Speedrealsr-ncnn: 4x - Yeswaifu2x-ncnn: 2x - 3 - Yesrealsr-ncnn: 4x - Nowebp: Quality 100, Highest Compressionsimdjson: DistinctUserIDsimdjson: PartialTweetssimdjson: LargeRandsimdjson: Kostyaclomp: Static OMP Speedupncnn: Vulkan GPU-v2-v2 - mobilenet-v2onednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUcompress-lz4: 9 - Compression Speedsockperf: Latency Under Load1232261210.9248115634324482064794.8314.82153.2067.3881.74268414.632271.687913.613287338195.207.39523.02132.57312.638193.6125.20611.209.73229.70986.92726.1902813.2510.501180.097115392.80995192242.7730994613.073619.360.33352.5522.23830.80738437.1282.00619.1112.659.67117.1917.0772.55774804711.898571816922.541320.6957721.13265074.4546.400.3392346.01.38706035.524.17214.0342.981735687.3310.13467745810.954712117.4664410173.3138.83921489969.256.7540763.41519.4932.5946.8318.2458880.8486274275182.892.6039.5923.4635499453.018.883.31401448.58923.302.228722.481.2225.81417814.11.6481216336.46555055158.11.1070.49457.670242.345081062.8199102524.4421762.99034187721.06929.1759.0081.5232601.4914.9202351.0822.760115.607.3574415.08212.7759.399.752.5819113.52052.6753427746.8710.3859.28501.20050.21635.134721428.329.045.42416.98182.189596.25431611215.9244.11514.48792.92.5954.8116.542927.20514.482127.149287.2557994.3021349153384.3351.92696.0512.8556.8415.042123.6843.9424.894119915.95532.5659.288.93686.479191.413.243127.0111008423.847184.25301333349.9938218496.518565.282.0605691310279.33917.3328554.3482.60926.67563.0288.8720.460.450.350.38210.8836.559642.2253.7751258380.5031177173743801931045.2015.08253.1487.7481.99938214.870074.107667.943186858438.647.52623.67912.56612.988356.1925.90110.919.61329.88896.75126.4795623.3110.341208.386615755.58527176242.3430627013.168519.660.33052.3922.69331.41478277.5383.58118.8712.899.49119.3816.7673.14780282812.054562822022.314421.0087794.13267212.9547.010.3422358.01.38696009.524.51814.2339.541758200.5010.12461955821.055725118.9163899433.3338.97281486411.636.7990263.99719.6032.7946.4918.3158460.8446255015183.502.5869.6923.2435791748.519.063.31131461.85323.422.228646.381.4235.84129807.21.6621213155.04559663159.41.0980.49457.216241.365060552.8371101765.5669262.96824167221.13929.0859.4081.9675131.4914.8232781.0832.765915.527.3606115.07712.8359.719.742.5670113.65452.7413407725.6310.4459.16503.97750.26935.319725224.229.045.41916.95183.024596.61531721315.8534.11014.47093.32.6014.8316.555827.18516.516127.645287.0638015.3921423223384.6152.00697.5012.8666.8515.000123.4053.9424.957119915.99432.6459.428.92386.540191.453.250427.0711032023.799184.17301687480.1884218516.518552.182.1785697083279.62617.3178547.8482.83926.68563.0238.8710.460.450.350.382.011.3035.846141.0252.7581275489.173533771930168.3815.56193.3027.3885.63200615.197571.697750.493271878426.847.31323.66972.63912.758419.8225.45111.049.86729.12106.79026.8570583.3310.251208.018515437.46857899841.8131321613.366119.790.32653.5122.58030.82088342.7382.18818.7512.709.59117.4516.8971.82766904311.863564858922.661920.7397837.72269044.4846.320.3442324.21.40700554.624.19414.2338.271734495.8310.25467404820.322815118.0464685673.2938.50551472539.676.8328463.26919.7132.4346.3218.4418620.8396322069184.812.6139.6023.4835427649.219.073.34321452.46923.512.248690.181.9335.79119807.91.6571223284.42557665159.41.1060.49857.452243.265041592.8151102339.4086412.97824157320.98829.2859.2882.0732121.5014.9091081.0892.777915.627.3135115.17412.7559.349.802.5828112.96452.9863417701.7510.4359.50502.60850.48935.312723222.129.185.39816.90182.601593.90931579015.8944.09714.42493.32.5904.8316.610827.29514.799127.385286.1408022.4821407263384.4952.09695.2412.8266.8315.035123.3393.9524.900119615.99532.5959.288.91586.340191.013.248227.0511015723.806183.88301185316.5890918526.508562.882.0765689070279.27817.3288547.2482.55126.67363.0028.8690.460.450.350.38210.6833.058741.2350.699OpenBenchmarking.org

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: LPOP231500K1000K1500K2000K2500KSE +/- 11741.76, N = 3SE +/- 8952.66, N = 3SE +/- 16948.58, N = 31258380.501275489.172261210.921. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: LPOP231400K800K1200K1600K2000KMin: 1236766.38 / Avg: 1258380.5 / Max: 1277139.25Min: 1261558.62 / Avg: 1275489.17 / Max: 1292196.38Min: 2227314 / Avg: 2261210.92 / Max: 2278268.751. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

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
OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.421800K1600K2400K3200K4000KMin: 3047023 / Avg: 3117717.33 / Max: 3158661Min: 4775156 / Avg: 4811562.5 / Max: 48479691. (CXX) g++ options: -O3 -fopenmp

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: BLAS32180160240320400Min: 348 / Avg: 353 / Max: 356Min: 355 / Avg: 374.33 / Max: 400Min: 400 / Avg: 431.63 / Max: 4381. (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
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: Eigen32180160240320400Min: 354 / Avg: 377.22 / Max: 403Min: 439 / Avg: 448.33 / Max: 4551. (CXX) g++ options: -flto -pthread

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: 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: GET321400K800K1200K1600K2000KMin: 1886792.5 / Avg: 1930168.38 / Max: 1960784.38Min: 1872958.88 / Avg: 1931045.2 / Max: 2012265.5Min: 2016129.12 / Avg: 2064794.83 / Max: 21327421. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: 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
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU32148121620Min: 15.38 / Avg: 15.56 / Max: 15.67Min: 13.61 / Avg: 15.08 / Max: 15.69Min: 13.41 / Avg: 14.82 / Max: 15.751. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

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 Synthesis3120.7431.4862.2292.9723.715SE +/- 0.028, N = 15SE +/- 0.041, N = 3SE +/- 0.032, N = 33.3023.2063.148MIN: 2.87 / MAX: 4.18MIN: 2.88 / MAX: 3.79MIN: 2.89 / MAX: 3.84
OpenBenchmarking.orgSeconds, Fewer Is BetterSunflow Rendering System 0.07.2Global Illumination + Image Synthesis312246810Min: 3.09 / Avg: 3.3 / Max: 3.47Min: 3.15 / Avg: 3.21 / Max: 3.29Min: 3.1 / Avg: 3.15 / Max: 3.21

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 Benchmark132246810SE +/- 0.08, N = 3SE +/- 0.09, N = 4SE +/- 0.03, N = 37.387.387.741. Nodejs v12.18.2
OpenBenchmarking.orgruns/s, More Is BetterNode.js V8 Web Tooling Benchmark1323691215Min: 7.22 / Avg: 7.38 / Max: 7.46Min: 7.12 / Avg: 7.38 / Max: 7.56Min: 7.69 / Avg: 7.74 / Max: 7.81. Nodejs v12.18.2

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.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
OpenBenchmarking.orgNs Per Event, Fewer Is BetterOSBenchTest: Memory Allocations3211632486480Min: 82.72 / Avg: 85.63 / Max: 87.09Min: 81.87 / Avg: 82 / Max: 82.19Min: 81.7 / Avg: 81.74 / Max: 81.771. (CC) gcc options: -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: 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 1D - Data Type: u8s8f32 - Engine: CPU32148121620Min: 14.96 / Avg: 15.2 / Max: 15.34Min: 14.62 / Avg: 14.87 / Max: 15Min: 14.49 / Avg: 14.63 / Max: 14.841. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

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: Vulkan GPU - Model: resnet502311632486480SE +/- 0.63, N = 4SE +/- 0.29, N = 3SE +/- 0.20, N = 374.1071.6971.68MIN: 66.26 / MAX: 110.26MIN: 66.47 / MAX: 91.18MIN: 65.87 / MAX: 90.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: resnet502311428425670Min: 73.21 / Avg: 74.1 / Max: 75.96Min: 71.39 / Avg: 71.69 / Max: 72.28Min: 71.39 / Avg: 71.68 / Max: 72.061. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU1322K4K6K8K10KSE +/- 101.76, N = 3SE +/- 13.61, N = 3SE +/- 22.70, N = 37913.617750.497667.94MIN: 7617.25MIN: 7562.51MIN: 7509.561. (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: CPU13214002800420056007000Min: 7752.25 / Avg: 7913.61 / Max: 8101.69Min: 7723.31 / Avg: 7750.49 / Max: 7765.32Min: 7640.74 / Avg: 7667.94 / Max: 7713.031. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

TensorFlow Lite

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

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet Quant13270K140K210K280K350KSE +/- 1183.02, N = 3SE +/- 1866.22, N = 3SE +/- 1025.34, N = 3328733327187318685
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet Quant13260K120K180K240K300KMin: 326554 / Avg: 328733 / Max: 330621Min: 325104 / Avg: 327187.33 / Max: 330911Min: 316646 / Avg: 318684.67 / Max: 319896

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU2312K4K6K8K10KSE +/- 66.22, N = 15SE +/- 46.50, N = 3SE +/- 99.84, N = 58438.648426.848195.20MIN: 7752.96MIN: 8003.45MIN: 75051. (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: CPU23115003000450060007500Min: 8073.51 / Avg: 8438.64 / Max: 9047.54Min: 8372.71 / Avg: 8426.84 / Max: 8519.39Min: 7835.76 / Avg: 8195.2 / Max: 8382.751. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

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: mobilenet-v1-1.0213246810SE +/- 0.065, N = 3SE +/- 0.021, N = 3SE +/- 0.030, N = 37.5267.3957.313MIN: 6.6 / MAX: 20.05MIN: 6.57 / MAX: 16.47MIN: 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-v1-1.02133691215Min: 7.4 / Avg: 7.53 / Max: 7.62Min: 7.35 / Avg: 7.39 / Max: 7.42Min: 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

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU231612182430SE +/- 0.20, N = 3SE +/- 0.14, N = 3SE +/- 0.34, N = 323.6823.6723.02MIN: 20.06MIN: 20.01MIN: 19.031. (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: CPU231612182430Min: 23.27 / Avg: 23.68 / Max: 23.89Min: 23.43 / Avg: 23.67 / Max: 23.92Min: 22.35 / Avg: 23.02 / Max: 23.451. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

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: 102130.59381.18761.78142.37522.969SE +/- 0.008, N = 3SE +/- 0.015, N = 3SE +/- 0.007, N = 32.5662.5732.639
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 10213246810Min: 2.56 / Avg: 2.57 / Max: 2.58Min: 2.54 / Avg: 2.57 / Max: 2.59Min: 2.63 / Avg: 2.64 / Max: 2.65

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: Vulkan GPU - Model: shufflenet-v22313691215SE +/- 0.16, N = 4SE +/- 0.20, N = 3SE +/- 0.09, N = 312.9812.7512.63MIN: 10.26 / MAX: 24.78MIN: 10.36 / MAX: 21.98MIN: 10.39 / MAX: 25.471. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: shufflenet-v223148121620Min: 12.66 / Avg: 12.98 / Max: 13.43Min: 12.42 / Avg: 12.75 / Max: 13.12Min: 12.48 / Avg: 12.63 / Max: 12.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: 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 Training - Data Type: u8s8f32 - Engine: CPU32115003000450060007500Min: 8373.46 / Avg: 8419.82 / Max: 8472.51Min: 8101.02 / Avg: 8356.19 / Max: 8601.87Min: 8013.08 / Avg: 8193.61 / Max: 8443.251. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -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-only231612182430SE +/- 0.25, N = 13SE +/- 0.09, N = 3SE +/- 0.09, N = 325.9025.4525.21
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Boat - Acceleration: CPU-only231612182430Min: 25.34 / Avg: 25.9 / Max: 28.69Min: 25.27 / Avg: 25.45 / Max: 25.55Min: 25.07 / Avg: 25.21 / Max: 25.38

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-v2-v2 - Model: mobilenet-v21323691215SE +/- 0.13, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 311.2011.0410.91MIN: 8.97 / MAX: 20.5MIN: 8.96 / MAX: 21.86MIN: 8.91 / MAX: 18.071. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2 - Model: mobilenet-v21323691215Min: 10.99 / Avg: 11.2 / Max: 11.45Min: 10.94 / Avg: 11.04 / Max: 11.13Min: 10.77 / Avg: 10.91 / Max: 11.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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: SqueezeNetV1.03123691215SE +/- 0.066, N = 3SE +/- 0.127, N = 3SE +/- 0.039, N = 39.8679.7329.613MIN: 8.73 / MAX: 39.42MIN: 8.67 / MAX: 18.76MIN: 8.69 / MAX: 20.71. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: SqueezeNetV1.03123691215Min: 9.76 / Avg: 9.87 / Max: 9.98Min: 9.59 / Avg: 9.73 / Max: 9.99Min: 9.56 / Avg: 9.61 / Max: 9.691. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU213714212835SE +/- 0.14, N = 3SE +/- 0.09, N = 3SE +/- 0.29, N = 329.8929.7129.12MIN: 26.42MIN: 26.4MIN: 26.351. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU213714212835Min: 29.62 / Avg: 29.89 / Max: 30.07Min: 29.56 / Avg: 29.71 / Max: 29.86Min: 28.66 / Avg: 29.12 / Max: 29.651. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Sockperf

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

OpenBenchmarking.orgusec, Fewer Is BetterSockperf 3.4Test: Latency Ping Pong132246810SE +/- 0.065, N = 5SE +/- 0.074, N = 5SE +/- 0.049, N = 56.9276.7906.7511. (CXX) g++ options: --param -O3 -rdynamic -ldl -lpthread
OpenBenchmarking.orgusec, Fewer Is BetterSockperf 3.4Test: Latency Ping Pong1323691215Min: 6.77 / Avg: 6.93 / Max: 7.08Min: 6.54 / Avg: 6.79 / Max: 6.97Min: 6.64 / Avg: 6.75 / Max: 6.91. (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 Processes321612182430SE +/- 0.21, N = 3SE +/- 0.03, N = 3SE +/- 0.10, N = 326.8626.4826.191. (CC) gcc options: -lm
OpenBenchmarking.orgus Per Event, Fewer Is BetterOSBenchTest: Create Processes321612182430Min: 26.45 / Avg: 26.86 / Max: 27.13Min: 26.44 / Avg: 26.48 / Max: 26.54Min: 26.03 / Avg: 26.19 / Max: 26.361. (CC) gcc options: -lm

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: 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: blazeface321246810Min: 3.29 / Avg: 3.33 / Max: 3.39Min: 3.26 / Avg: 3.31 / Max: 3.35Min: 3.23 / Avg: 3.25 / Max: 3.281. (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

LULESH

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

OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.313230060090012001500SE +/- 0.53, N = 3SE +/- 2.03, N = 3SE +/- 0.69, N = 31180.101208.021208.391. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.31322004006008001000Min: 1179.34 / Avg: 1180.1 / Max: 1181.12Min: 1203.96 / Avg: 1208.02 / Max: 1210.15Min: 1207.56 / Avg: 1208.39 / Max: 1209.751. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -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 Routine1323K6K9K12K15KSE +/- 120.97, N = 3SE +/- 161.49, N = 3SE +/- 110.35, N = 315392.8115437.4715755.591. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT Routine1323K6K9K12K15KMin: 15152.03 / Avg: 15392.81 / Max: 15533.71Min: 15152.55 / Avg: 15437.47 / Max: 15711.64Min: 15541.61 / Avg: 15755.59 / Max: 15909.411. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

LZ4 Compression

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

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - 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 - Compression Speed321918273645Min: 36.12 / Avg: 41.81 / Max: 44.43Min: 38.94 / Avg: 42.34 / Max: 44.38Min: 42.02 / Avg: 42.77 / Max: 43.91. (CC) gcc options: -O3

TensorFlow Lite

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

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet Float31270K140K210K280K350KSE +/- 2441.23, N = 3SE +/- 172.14, N = 3SE +/- 1840.34, N = 3313216309946306270
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet Float31250K100K150K200K250KMin: 308497 / Avg: 313215.67 / Max: 316661Min: 309629 / Avg: 309945.67 / Max: 310221Min: 302657 / Avg: 306270 / Max: 308685

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: f32 - Engine: 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 3D - Data Type: f32 - Engine: CPU32148121620Min: 13.26 / Avg: 13.37 / Max: 13.46Min: 11.89 / Avg: 13.17 / Max: 13.59Min: 11.68 / Avg: 13.07 / Max: 13.481. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

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

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
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water Benchmark32112345Min: 0.32 / Avg: 0.33 / Max: 0.33Min: 0.33 / Avg: 0.33 / Max: 0.33Min: 0.33 / Avg: 0.33 / Max: 0.341. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm

dav1d

Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Chimera 1080p 10-bit2131224364860SE +/- 0.21, N = 3SE +/- 0.17, N = 3SE +/- 0.31, N = 352.3952.5553.51MIN: 35.47 / MAX: 120.48MIN: 35.45 / MAX: 124.71MIN: 35.6 / MAX: 125.131. (CC) gcc options: -pthread -ldl -lm
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Chimera 1080p 10-bit2131122334455Min: 51.98 / Avg: 52.39 / Max: 52.64Min: 52.28 / Avg: 52.55 / Max: 52.85Min: 52.9 / Avg: 53.51 / Max: 53.911. (CC) gcc options: -pthread -ldl -lm

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 2020-06-28231510152025SE +/- 0.23, N = 8SE +/- 0.35, N = 3SE +/- 0.03, N = 322.6922.5822.241. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28231510152025Min: 22.2 / Avg: 22.69 / Max: 24.18Min: 22.21 / Avg: 22.58 / Max: 23.28Min: 22.2 / Avg: 22.24 / Max: 22.291. (CC) gcc options: -O2 -pedantic -fvisibility=hidden

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU231714212835SE +/- 0.28, N = 3SE +/- 0.14, N = 3SE +/- 0.15, N = 331.4130.8230.81MIN: 22.58MIN: 22.62MIN: 22.571. (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: CPU231714212835Min: 30.98 / Avg: 31.41 / Max: 31.95Min: 30.62 / Avg: 30.82 / Max: 31.09Min: 30.64 / Avg: 30.81 / Max: 31.11. (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: CPU1322K4K6K8K10KSE +/- 133.51, N = 3SE +/- 61.07, N = 3SE +/- 86.65, N = 38437.128342.738277.53MIN: 7874.47MIN: 7929.12MIN: 7767.681. (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: CPU13215003000450060007500Min: 8172.26 / Avg: 8437.12 / Max: 8598.98Min: 8220.67 / Avg: 8342.73 / Max: 8407.38Min: 8112.62 / Avg: 8277.53 / Max: 8406.141. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

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 Time23120406080100SE +/- 0.26, N = 3SE +/- 0.13, N = 3SE +/- 0.57, N = 383.5882.1982.01
OpenBenchmarking.orgSeconds, Fewer Is BetterHuginPanorama Photo Assistant + Stitching Time2311632486480Min: 83.18 / Avg: 83.58 / Max: 84.08Min: 81.94 / Avg: 82.19 / Max: 82.32Min: 81.07 / Avg: 82.01 / Max: 83.05

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: regnety_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: CPU - Model: shufflenet-v22313691215SE +/- 0.14, N = 3SE +/- 0.14, N = 3SE +/- 0.12, N = 312.8912.7012.65MIN: 10.42 / MAX: 26.77MIN: 10.47 / MAX: 19.71MIN: 10.41 / MAX: 23.31. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: shufflenet-v223148121620Min: 12.64 / Avg: 12.89 / Max: 13.12Min: 12.48 / Avg: 12.7 / Max: 12.96Min: 12.45 / Avg: 12.65 / Max: 12.851. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3 - Model: mobilenet-v31323691215SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 39.679.599.49MIN: 7.8 / MAX: 15.65MIN: 7.81 / MAX: 16.29MIN: 7.78 / MAX: 14.761. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3 - Model: mobilenet-v31323691215Min: 9.54 / Avg: 9.67 / Max: 9.75Min: 9.53 / Avg: 9.59 / Max: 9.64Min: 9.44 / Avg: 9.49 / Max: 9.591. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: vgg16231306090120150SE +/- 0.23, N = 3SE +/- 0.17, N = 3SE +/- 0.18, N = 3119.38117.45117.19MIN: 113.9 / MAX: 142.52MIN: 112.54 / MAX: 135.06MIN: 112.25 / MAX: 143.191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: vgg1623120406080100Min: 118.95 / Avg: 119.38 / Max: 119.72Min: 117.14 / Avg: 117.45 / Max: 117.71Min: 116.85 / Avg: 117.19 / Max: 117.451. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: efficientnet-b013248121620SE +/- 0.15, N = 3SE +/- 0.12, N = 3SE +/- 0.03, N = 317.0716.8916.76MIN: 14.1 / MAX: 30.1MIN: 14.11 / MAX: 30.24MIN: 13.96 / MAX: 31.871. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: efficientnet-b013248121620Min: 16.87 / Avg: 17.07 / Max: 17.36Min: 16.65 / Avg: 16.89 / Max: 17.05Min: 16.71 / Avg: 16.76 / Max: 16.811. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet502131632486480SE +/- 0.39, N = 3SE +/- 0.82, N = 3SE +/- 0.19, N = 373.1472.5571.82MIN: 66.24 / MAX: 103.74MIN: 66.75 / MAX: 91.97MIN: 65.77 / MAX: 87.351. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet502131428425670Min: 72.36 / Avg: 73.14 / Max: 73.58Min: 71.55 / Avg: 72.55 / Max: 74.18Min: 71.45 / Avg: 71.82 / Max: 72.11. (CXX) g++ options: -O3 -rdynamic -lgomp -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 Depth3122M4M6M8M10MSE +/- 29445.58, N = 3SE +/- 28500.12, N = 3SE +/- 50254.79, N = 3766904377480477802828
OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 Depth3121.4M2.8M4.2M5.6M7MMin: 7611696 / Avg: 7669043 / Max: 7709319Min: 7696997 / Avg: 7748046.67 / Max: 7795531Min: 7713402 / Avg: 7802828.33 / Max: 7887276

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: UASTC Level 02133691215SE +/- 0.09, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 312.0511.9011.861. (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 021348121620Min: 11.93 / Avg: 12.05 / Max: 12.24Min: 11.87 / Avg: 11.9 / Max: 11.94Min: 11.86 / Avg: 11.86 / Max: 11.871. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

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 Time2311.2M2.4M3.6M4.8M6MSE +/- 74806.22, N = 3SE +/- 39149.01, N = 3SE +/- 48644.36, N = 35628220564858957181691. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++17 -pedantic -O3 -msse -msse3 -mpopcnt -msse4.1 -mssse3 -msse2 -flto -flto=jobserver
OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 12Total Time2311000K2000K3000K4000K5000KMin: 5499526 / Avg: 5628219.67 / Max: 5758645Min: 5574905 / Avg: 5648589.33 / Max: 5708364Min: 5629479 / Avg: 5718169.33 / Max: 57971461. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++17 -pedantic -O3 -msse -msse3 -mpopcnt -msse4.1 -mssse3 -msse2 -flto -flto=jobserver

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU312510152025SE +/- 0.14, N = 3SE +/- 0.26, N = 3SE +/- 0.18, N = 1522.6622.5422.31MIN: 17.69MIN: 17.75MIN: 17.691. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU312510152025Min: 22.39 / Avg: 22.66 / Max: 22.87Min: 22.09 / Avg: 22.54 / Max: 23Min: 21.09 / Avg: 22.31 / Max: 23.321. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -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: Server Room - Acceleration: CPU-only231510152025SE +/- 0.12, N = 3SE +/- 0.19, N = 3SE +/- 0.21, N = 321.0120.7420.70
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Server Room - Acceleration: CPU-only231510152025Min: 20.77 / Avg: 21.01 / Max: 21.18Min: 20.36 / Avg: 20.74 / Max: 20.96Min: 20.28 / Avg: 20.7 / Max: 20.94

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: 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 Inference - Data Type: f32 - Engine: CPU32114002800420056007000Min: 7779.6 / Avg: 7837.72 / Max: 7881.52Min: 7708.43 / Avg: 7794.13 / Max: 7964.23Min: 7702.17 / Avg: 7721.13 / Max: 7741.111. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

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

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: Vulkan GPU - Model: mobilenet2131122334455SE +/- 0.66, N = 4SE +/- 0.03, N = 3SE +/- 0.07, N = 347.0146.4046.32MIN: 42.66 / MAX: 60.93MIN: 42.8 / MAX: 59.97MIN: 42.77 / MAX: 61.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: mobilenet2131020304050Min: 46.22 / Avg: 47.01 / Max: 48.98Min: 46.35 / Avg: 46.4 / Max: 46.45Min: 46.21 / Avg: 46.32 / Max: 46.441. (CXX) g++ options: -O3 -rdynamic -lgomp -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: 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 Rack - Acceleration: CPU-only32112345Min: 0.34 / Avg: 0.34 / Max: 0.35Min: 0.34 / Avg: 0.34 / Max: 0.34Min: 0.34 / Avg: 0.34 / Max: 0.34

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: 33125001000150020002500SE +/- 7.82, N = 3SE +/- 27.78, N = 3SE +/- 16.00, N = 32324.22346.02358.01. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 3312400800120016002000Min: 2308.6 / Avg: 2324.23 / Max: 2332.6Min: 2297.1 / Avg: 2346.03 / Max: 2393.3Min: 2329.7 / Avg: 2357.97 / Max: 2385.11. (CC) gcc options: -O3 -pthread -lz -llzma

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

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: 10000231150K300K450K600K750KSE +/- 6558.55, N = 3SE +/- 5594.95, N = 3SE +/- 8641.46, N = 3696009.5700554.6706035.5
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000231120K240K360K480K600KMin: 689123.7 / Avg: 696009.53 / Max: 709121.1Min: 694830.4 / Avg: 700554.6 / Max: 711743.5Min: 695838.4 / Avg: 706035.5 / Max: 723218.7

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: Masskrug - Acceleration: CPU-only231612182430SE +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 324.5224.1924.17
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Masskrug - Acceleration: CPU-only231612182430Min: 24.45 / Avg: 24.52 / Max: 24.6Min: 24.06 / Avg: 24.19 / Max: 24.34Min: 24.12 / Avg: 24.17 / Max: 24.23

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

OpenFOAM

OpenFOAM is the leading free, open source software for computational fluid dynamics (CFD). Learn more via the OpenBenchmarking.org test page.

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

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: SADD312400K800K1200K1600K2000KSE +/- 4337.84, N = 3SE +/- 11595.14, N = 3SE +/- 21162.12, N = 31734495.831735687.331758200.501. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SADD312300K600K900K1200K1500KMin: 1727502.62 / Avg: 1734495.83 / Max: 1742439Min: 1712548 / Avg: 1735687.33 / Max: 1748587.38Min: 1727115.75 / Avg: 1758200.5 / Max: 1798618.751. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

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 6 Realtime2133691215SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.13, N = 310.1210.1310.251. (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 Realtime2133691215Min: 10.02 / Avg: 10.12 / Max: 10.28Min: 10.09 / Avg: 10.13 / Max: 10.21Min: 10.09 / Avg: 10.25 / Max: 10.51. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

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: SqueezeNet132100K200K300K400K500KSE +/- 158.13, N = 3SE +/- 564.75, N = 3SE +/- 1459.42, N = 3467745467404461955
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNet13280K160K240K320K400KMin: 467441 / Avg: 467745.33 / Max: 467972Min: 466822 / Avg: 467403.67 / Max: 468533Min: 460469 / Avg: 461955.33 / Max: 464874

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: Cylinder2312004006008001000SE +/- 10.03, N = 3SE +/- 2.19, N = 3SE +/- 3.54, N = 3821.06820.32810.951. (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
OpenBenchmarking.orgSeconds, Fewer Is BetterIncompact3D 2020-09-17Input: Cylinder231140280420560700Min: 802.01 / Avg: 821.06 / Max: 836.03Min: 816.22 / Avg: 820.32 / Max: 823.68Min: 806.85 / Avg: 810.95 / Max: 8181. (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

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: Vulkan GPU - Model: vgg16231306090120150SE +/- 0.24, N = 4SE +/- 0.16, N = 3SE +/- 0.37, N = 3118.91118.04117.46MIN: 113.22 / MAX: 141.78MIN: 112.22 / MAX: 141.41MIN: 111.97 / MAX: 149.371. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: vgg1623120406080100Min: 118.22 / Avg: 118.91 / Max: 119.25Min: 117.87 / Avg: 118.04 / Max: 118.36Min: 116.8 / Avg: 117.46 / Max: 118.081. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

TensorFlow Lite

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

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V43121.4M2.8M4.2M5.6M7MSE +/- 4440.22, N = 3SE +/- 24424.39, N = 3SE +/- 7475.10, N = 3646856764410176389943
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V43121.1M2.2M3.3M4.4M5.5MMin: 6460380 / Avg: 6468566.67 / Max: 6475640Min: 6392450 / Avg: 6441016.67 / Max: 6469840Min: 6377600 / Avg: 6389943.33 / Max: 6403420

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: blazeface2130.74931.49862.24792.99723.7465SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 33.333.313.29MIN: 2.62 / MAX: 5.11MIN: 2.64 / MAX: 9.91MIN: 2.73 / MAX: 4.721. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: blazeface213246810Min: 3.27 / Avg: 3.33 / Max: 3.38Min: 3.29 / Avg: 3.31 / Max: 3.33Min: 3.23 / Avg: 3.29 / Max: 3.351. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU213918273645SE +/- 0.23, N = 3SE +/- 0.18, N = 3SE +/- 0.51, N = 338.9738.8438.51MIN: 35.93MIN: 35.67MIN: 35.631. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU213816243240Min: 38.53 / Avg: 38.97 / Max: 39.3Min: 38.63 / Avg: 38.84 / Max: 39.19Min: 37.49 / Avg: 38.51 / Max: 39.071. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

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: 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
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SET321300K600K900K1200K1500KMin: 1383258.62 / Avg: 1472539.67 / Max: 1520291.75Min: 1449321.75 / Avg: 1486411.63 / Max: 1512859.25Min: 1483774.38 / Avg: 1489969.25 / Max: 1501741.751. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

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
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 Atoms3213691215Min: 6.7 / Avg: 6.83 / Max: 7.18Min: 6.72 / Avg: 6.8 / Max: 6.85Min: 6.73 / Avg: 6.75 / Max: 6.78

Mobile Neural Network

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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: inception-v32131428425670SE +/- 0.32, N = 3SE +/- 0.18, N = 3SE +/- 0.19, N = 364.0063.4263.27MIN: 60.33 / MAX: 93.06MIN: 60.02 / MAX: 120.02MIN: 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-v32131326395265Min: 63.62 / Avg: 64 / Max: 64.64Min: 63.23 / Avg: 63.42 / Max: 63.77Min: 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

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

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: googlenet213816243240SE +/- 0.05, N = 3SE +/- 0.18, N = 3SE +/- 0.18, N = 332.7932.5932.43MIN: 28.77 / MAX: 48.75MIN: 28.72 / MAX: 51.96MIN: 28.44 / MAX: 46.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: googlenet213714212835Min: 32.72 / Avg: 32.79 / Max: 32.9Min: 32.36 / Avg: 32.59 / Max: 32.94Min: 32.19 / Avg: 32.43 / Max: 32.771. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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

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 Files321510152025Min: 18.22 / Avg: 18.44 / Max: 18.64Min: 18.08 / Avg: 18.32 / Max: 18.73Min: 17.94 / Avg: 18.25 / Max: 18.711. (CC) gcc options: -lm

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: 5321246810Min: 0.84 / Avg: 0.84 / Max: 0.84Min: 0.84 / Avg: 0.84 / Max: 0.85Min: 0.85 / Avg: 0.85 / Max: 0.85

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 Time2131.4M2.8M4.2M5.6M7MSE +/- 20483.82, N = 3SE +/- 2855.69, N = 3SE +/- 23149.53, N = 36255015627427563220691. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm
OpenBenchmarking.orgNodes Per Second, More Is BetterCrafty 25.2Elapsed Time2131.1M2.2M3.3M4.4M5.5MMin: 6218031 / Avg: 6255015 / Max: 6288768Min: 6268571 / Avg: 6274275.33 / Max: 6277373Min: 6298694 / Avg: 6322068.67 / Max: 63683671. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm

dav1d

Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 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

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 Protein2130.58791.17581.76372.35162.9395SE +/- 0.030, N = 3SE +/- 0.015, N = 3SE +/- 0.031, N = 32.5862.6032.6131. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin Protein213246810Min: 2.55 / Avg: 2.59 / Max: 2.65Min: 2.59 / Avg: 2.6 / Max: 2.63Min: 2.58 / Avg: 2.61 / Max: 2.681. (CXX) g++ options: -O3 -pthread -lm

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: Vulkan GPU-v3-v3 - Model: mobilenet-v32313691215SE +/- 0.14, N = 4SE +/- 0.09, N = 3SE +/- 0.13, N = 39.699.609.59MIN: 7.81 / MAX: 18.31MIN: 7.73 / MAX: 19.55MIN: 7.78 / MAX: 22.631. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU-v3-v3 - Model: mobilenet-v32313691215Min: 9.46 / Avg: 9.69 / Max: 10.08Min: 9.47 / Avg: 9.6 / Max: 9.78Min: 9.4 / Avg: 9.59 / Max: 9.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: alexnet312612182430SE +/- 0.02, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 423.4823.4623.24MIN: 21.25 / MAX: 36.41MIN: 21.29 / MAX: 37.36MIN: 21.11 / MAX: 37.351. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: alexnet312510152025Min: 23.44 / Avg: 23.48 / Max: 23.51Min: 23.36 / Avg: 23.46 / Max: 23.61Min: 23.18 / Avg: 23.24 / Max: 23.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 23128M16M24M32M40MSE +/- 503813.27, N = 3SE +/- 289585.60, N = 3SE +/- 208729.08, N = 335427649.235499453.035791748.5
OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 23126M12M18M24M30MMin: 34420043.2 / Avg: 35427649.23 / Max: 35937019.7Min: 35091593.5 / Avg: 35499453 / Max: 36059497.1Min: 35378389.7 / Avg: 35791748.47 / Max: 36048968.8

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: 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
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: regnety_400m321510152025Min: 19.05 / Avg: 19.07 / Max: 19.08Min: 18.82 / Avg: 19.06 / Max: 19.49Min: 18.7 / Avg: 18.88 / Max: 191. (CXX) g++ options: -O3 -rdynamic -lgomp -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: Asian Dragon2130.75221.50442.25663.00883.761SE +/- 0.0143, N = 3SE +/- 0.0186, N = 3SE +/- 0.0299, N = 33.31133.31403.3432MIN: 3.26 / MAX: 3.4MIN: 3.25 / MAX: 3.4MIN: 3.25 / MAX: 3.45
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian Dragon213246810Min: 3.29 / Avg: 3.31 / Max: 3.34Min: 3.28 / Avg: 3.31 / Max: 3.34Min: 3.29 / Avg: 3.34 / Max: 3.39

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 Data231300600900120015001461.851452.471448.59

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: 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: alexnet321510152025Min: 23.4 / Avg: 23.51 / Max: 23.64Min: 23.28 / Avg: 23.42 / Max: 23.51Min: 23.15 / Avg: 23.3 / Max: 23.511. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 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

LZ4 Compression

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

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Decompression Speed2312K4K6K8K10KSE +/- 8.66, N = 3SE +/- 57.65, N = 3SE +/- 6.35, N = 38646.38690.18722.41. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Decompression Speed23115003000450060007500Min: 8636 / Avg: 8646.3 / Max: 8663.5Min: 8605 / Avg: 8690.07 / Max: 8800Min: 8712.3 / Avg: 8722.37 / Max: 8734.11. (CC) gcc options: -O3

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
OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,0003211632486480Min: 81.1 / Avg: 81.93 / Max: 83.33Min: 80.56 / Avg: 81.42 / Max: 82.94Min: 80.97 / Avg: 81.22 / Max: 81.441. (CC) gcc options: -O2 -ldl -lz -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU2131.31432.62863.94295.25726.5715SE +/- 0.01362, N = 3SE +/- 0.02077, N = 3SE +/- 0.01488, N = 35.841295.814175.79119MIN: 5.26MIN: 5.17MIN: 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: CPU213246810Min: 5.81 / Avg: 5.84 / Max: 5.86Min: 5.79 / Avg: 5.81 / Max: 5.86Min: 5.76 / Avg: 5.79 / Max: 5.821. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

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 10802312004006008001000SE +/- 3.33, N = 3SE +/- 4.89, N = 3SE +/- 4.11, N = 3807.2807.9814.11. (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: OpenGL 3.x - Resolution: 1920 x 1080231140280420560700Min: 802 / Avg: 807.17 / Max: 813.4Min: 802 / Avg: 807.9 / Max: 817.6Min: 806.1 / Avg: 814.1 / Max: 819.71. (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

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: Default2310.3740.7481.1221.4961.87SE +/- 0.003, N = 3SE +/- 0.009, N = 3SE +/- 0.002, N = 31.6621.6571.6481. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Default231246810Min: 1.66 / Avg: 1.66 / Max: 1.67Min: 1.65 / Avg: 1.66 / Max: 1.68Min: 1.65 / Avg: 1.65 / Max: 1.651. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

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: LPUSH213300K600K900K1200K1500KSE +/- 2985.46, N = 3SE +/- 16215.78, N = 3SE +/- 4396.42, N = 31213155.041216336.461223284.421. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: LPUSH213200K400K600K800K1000KMin: 1207729.5 / Avg: 1213155.04 / Max: 1218026.88Min: 1199462.88 / Avg: 1216336.46 / Max: 1248759Min: 1215105.75 / Avg: 1223284.42 / Max: 1230169.751. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

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: Throughput132120K240K360K480K600KSE +/- 6800.99, N = 5SE +/- 3270.45, N = 5SE +/- 3595.18, N = 55550555576655596631. (CXX) g++ options: --param -O3 -rdynamic -ldl -lpthread
OpenBenchmarking.orgMessages Per Second, More Is BetterSockperf 3.4Test: Throughput132100K200K300K400K500KMin: 535468 / Avg: 555054.6 / Max: 575646Min: 551013 / Avg: 557664.8 / Max: 569216Min: 551226 / Avg: 559663.2 / Max: 5722281. (CXX) g++ options: --param -O3 -rdynamic -ldl -lpthread

Warsow

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

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

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: Supercar2310.24910.49820.74730.99641.2455SE +/- 0.009, N = 3SE +/- 0.002, N = 3SE +/- 0.004, N = 31.0981.1061.107
OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: Supercar231246810Min: 1.08 / Avg: 1.1 / Max: 1.11Min: 1.1 / Avg: 1.11 / Max: 1.11Min: 1.1 / Avg: 1.11 / Max: 1.11

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

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: Quality 100, Lossless, Highest Compression1321326395265SE +/- 0.26, N = 3SE +/- 0.09, N = 3SE +/- 0.02, N = 357.6757.4557.221. (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 Compression1321122334455Min: 57.37 / Avg: 57.67 / Max: 58.18Min: 57.27 / Avg: 57.45 / Max: 57.57Min: 57.18 / Avg: 57.22 / Max: 57.251. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

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 Benchmark21350100150200250SE +/- 0.33, N = 3SE +/- 0.34, N = 3SE +/- 0.50, N = 3241.36242.34243.26
OpenBenchmarking.orgScore, More Is BetterNumpy Benchmark2134080120160200Min: 240.7 / Avg: 241.36 / Max: 241.78Min: 241.66 / Avg: 242.34 / Max: 242.75Min: 242.62 / Avg: 243.26 / Max: 244.24

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
OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark Suite32190K180K270K360K450KMin: 499707 / Avg: 504159 / Max: 506693Min: 502231 / Avg: 506055.33 / Max: 508649Min: 507598 / Avg: 508106 / Max: 508947

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 ISPC - Model: Asian Dragon Obj3120.63831.27661.91492.55323.1915SE +/- 0.0152, N = 3SE +/- 0.0119, N = 3SE +/- 0.0157, N = 32.81512.81992.8371MIN: 2.75 / MAX: 2.89MIN: 2.75 / MAX: 2.92MIN: 2.77 / MAX: 2.9
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian Dragon Obj312246810Min: 2.79 / Avg: 2.82 / Max: 2.84Min: 2.8 / Avg: 2.82 / Max: 2.83Min: 2.82 / Avg: 2.84 / Max: 2.87

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 Second23120K40K60K80K100KSE +/- 290.85, N = 3SE +/- 373.76, N = 3SE +/- 816.07, N = 3101765.57102339.41102524.441. (CC) gcc options: -O2 -lrt" -lrt
OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per Second23120K40K60K80K100KMin: 101355.63 / Avg: 101765.57 / Max: 102327.96Min: 101878.38 / Avg: 102339.41 / Max: 103079.5Min: 101426.31 / Avg: 102524.44 / Max: 104119.221. (CC) gcc options: -O2 -lrt" -lrt

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: Asian Dragon Obj2310.67281.34562.01842.69123.364SE +/- 0.0135, N = 3SE +/- 0.0217, N = 3SE +/- 0.0237, N = 32.96822.97822.9903MIN: 2.9 / MAX: 3.07MIN: 2.91 / MAX: 3.08MIN: 2.9 / MAX: 3.08
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian Dragon Obj231246810Min: 2.94 / Avg: 2.97 / Max: 2.99Min: 2.95 / Avg: 2.98 / Max: 3.02Min: 2.95 / Avg: 2.99 / Max: 3.03

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

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 Dynamics213510152025SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 321.1421.0720.99
OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid Dynamics213510152025Min: 21.08 / Avg: 21.14 / Max: 21.24Min: 20.98 / Avg: 21.07 / Max: 21.21Min: 20.91 / Avg: 20.99 / Max: 21.03

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: Vulkan GPU - Model: resnet18312714212835SE +/- 0.02, N = 3SE +/- 0.26, N = 3SE +/- 0.14, N = 429.2829.1729.08MIN: 25.57 / MAX: 39.41MIN: 26 / MAX: 40.97MIN: 25.74 / MAX: 44.351. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: resnet18312612182430Min: 29.24 / Avg: 29.28 / Max: 29.32Min: 28.72 / Avg: 29.17 / Max: 29.61Min: 28.92 / Avg: 29.08 / Max: 29.491. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: yolov4-tiny2311326395265SE +/- 0.06, N = 4SE +/- 0.16, N = 3SE +/- 0.04, N = 359.4059.2859.00MIN: 55.12 / MAX: 75.24MIN: 54.59 / MAX: 74.87MIN: 55.05 / MAX: 74.181. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: yolov4-tiny2311224364860Min: 59.26 / Avg: 59.4 / Max: 59.57Min: 58.98 / Avg: 59.28 / Max: 59.5Min: 58.93 / Avg: 59 / Max: 59.061. (CXX) g++ options: -O3 -rdynamic -lgomp -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: 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: Launch Programs3211632486480Min: 81.89 / Avg: 82.07 / Max: 82.2Min: 81.9 / Avg: 81.97 / Max: 82.07Min: 81.02 / Avg: 81.52 / Max: 81.961. (CC) gcc options: -lm

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

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 Threads13248121620SE +/- 0.03, N = 3SE +/- 0.14, N = 3SE +/- 0.09, N = 314.9214.9114.821. (CC) gcc options: -lm
OpenBenchmarking.orgus Per Event, Fewer Is BetterOSBenchTest: Create Threads13248121620Min: 14.89 / Avg: 14.92 / Max: 14.97Min: 14.67 / Avg: 14.91 / Max: 15.17Min: 14.7 / Avg: 14.82 / Max: 151. (CC) gcc options: -lm

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

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

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 1080p - Video Preset: Very Fast21348121620SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 315.5215.6015.621. (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 Fast21348121620Min: 15.43 / Avg: 15.52 / Max: 15.64Min: 15.52 / Avg: 15.6 / Max: 15.71Min: 15.56 / Avg: 15.62 / Max: 15.681. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU213246810