3100 compare

AMD Ryzen 3 3100 4-Core testing with a ASUS ROG CROSSHAIR VIII HERO (2702 BIOS) and AMD Radeon RX 56/64 8GB on Ubuntu 20.10 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2011296-HA-3100COMPA40&grt&rdt.

3100 compareProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen Resolution123AMD Ryzen 3 3100 4-Core @ 3.60GHz (4 Cores / 8 Threads)ASUS ROG CROSSHAIR VIII HERO (2702 BIOS)AMD Starship/Matisse16GB1000GB Sabrent Rocket 4.0 1TBAMD Radeon RX 56/64 8GB (1590/800MHz)AMD Vega 10 HDMI AudioLG Ultra HDRealtek RTL8125 2.5GbE + Intel I211Ubuntu 20.105.8.0-29-generic (x86_64)GNOME Shell 3.38.1X Server 1.20.9amdgpu 19.1.04.6 Mesa 20.2.1 (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 - CPU Microcode: 0x8701021Graphics Details- GLAMORSecurity 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: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected Java Details- 2, 3: OpenJDK Runtime Environment (build 11.0.9.1+1-Ubuntu-0ubuntu1.20.10)Python Details- 2, 3: Python 3.8.6

3100 compareai-benchmark: Device Inference Scoreai-benchmark: Device Training Scoreai-benchmark: Device AI Scoreaom-av1: Speed 0 Two-Passaom-av1: Speed 4 Two-Passaom-av1: Speed 6 Realtimeaom-av1: Speed 6 Two-Passaom-av1: Speed 8 Realtimeasmfish: 1024 Hash Memory, 26 Depthastcenc: Fastastcenc: Mediumastcenc: Thoroughastcenc: Exhaustivebasis: ETC1Sbasis: UASTC Level 0basis: UASTC Level 2basis: UASTC Level 3basis: UASTC Level 2 + RDO Post-Processingbetsy: ETC1 - Highestbetsy: ETC2 RGB - Highestblender: BMW27 - CPU-Onlybrl-cad: VGR Performance Metriccaffe: AlexNet - CPU - 100caffe: GoogleNet - CPU - 100crafty: Elapsed Timedarktable: Boat - CPU-onlydarktable: Masskrug - CPU-onlydarktable: Server Rack - CPU-onlydarktable: Server Room - CPU-onlyddnet: 1920 x 1080 - Fullscreen - OpenGL 3.3 - Default - RaiNyMore2ddnet: 1920 x 1080 - Fullscreen - OpenGL 3.3 - Default - Multeasymapdolfyn: Computational Fluid Dynamicsembree: Pathtracer - Crownembree: Pathtracer ISPC - Crownembree: Pathtracer - Asian Dragonembree: Pathtracer ISPC - Asian Dragonespeak: Text-To-Speech Synthesisffte: N=256, 3D Complex FFT Routinegeekbench: GPU Vulkangeekbench: CPU Multi Coregeekbench: CPU Single Coreglmark2: 1920 x 1080gromacs: Water Benchmarkhint: FLOAThpcc: G-HPLhpcc: G-Fftehpcc: EP-DGEMMhpcc: G-Ptranshpcc: EP-STREAM Triadhpcc: G-Rand Accesshpcc: Rand Ring Latencyhpcc: Rand Ring Bandwidthhpcc: Max Ping Pong Bandwidthhugin: Panorama Photo Assistant + Stitching Timeindigobench: CPU - Bedroomindigobench: CPU - Supercarkripke: kvazaar: Bosphorus 4K - Mediumkvazaar: Bosphorus 1080p - Mediumkvazaar: Bosphorus 4K - Very Fastkvazaar: Bosphorus 4K - Ultra Fastkvazaar: Bosphorus 1080p - Very Fastkvazaar: Bosphorus 1080p - Ultra Fastlammps: Rhodopsin Proteinlczero: BLASlczero: Eigenavifenc: 0avifenc: 2avifenc: 8avifenc: 10compress-lz4: 1 - Compression Speedcompress-lz4: 1 - Decompression Speedcompress-lz4: 3 - Compression Speedcompress-lz4: 3 - Decompression Speedcompress-lz4: 9 - Compression Speedcompress-lz4: 9 - Decompression Speedmlpack: scikit_icamlpack: scikit_qdamlpack: scikit_svmmlpack: scikit_linearridgeregressionmnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3mocassin: Dust 2D tau100.0mpv: Big Buck Bunny Sunflower 4K - Software Onlympv: Big Buck Bunny Sunflower 1080p - Software Onlynamd: ATPase Simulation - 327,506 Atomsncnn: CPU - squeezenetncnn: CPU - mobilenetncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU - shufflenet-v2ncnn: CPU - mnasnetncnn: CPU - efficientnet-b0ncnn: CPU - blazefacencnn: CPU - googlenetncnn: CPU - vgg16ncnn: CPU - resnet18ncnn: CPU - alexnetncnn: CPU - resnet50ncnn: CPU - yolov4-tinyncnn: Vulkan GPU - squeezenetncnn: Vulkan GPU - mobilenetncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU - shufflenet-v2ncnn: Vulkan GPU - mnasnetncnn: Vulkan GPU - efficientnet-b0ncnn: Vulkan GPU - blazefacencnn: Vulkan GPU - googlenetncnn: Vulkan GPU - vgg16ncnn: Vulkan GPU - resnet18ncnn: Vulkan GPU - alexnetncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - yolov4-tinynumpy: ocrmypdf: Processing 60 Page PDF Documentonednn: IP Batch 1D - f32 - CPUonednn: IP Batch All - f32 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Deconvolution Batch deconv_1d - f32 - CPUonednn: Deconvolution Batch deconv_3d - f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUopenssl: RSA 4096-bit Performancephpbench: PHP Benchmark Suitepybench: Total For Average Test Timespyperformance: gopyperformance: 2to3pyperformance: chaospyperformance: floatpyperformance: nbodypyperformance: pathlibpyperformance: raytracepyperformance: json_loadspyperformance: crypto_pyaespyperformance: regex_compilepyperformance: python_startuppyperformance: django_templatepyperformance: pickle_pure_pythonrav1e: 1rav1e: 5rav1e: 6rav1e: 10rawtherapee: Total Benchmark Timeredis: LPOPredis: SADDredis: LPUSHredis: GETredis: SETrnnoise: stockfish: Total Timesunflow: Global Illumination + Image Synthesistensorflow-lite: SqueezeNettensorflow-lite: Inception V4tensorflow-lite: NASNet Mobiletensorflow-lite: Mobilenet Floattensorflow-lite: Mobilenet Quanttensorflow-lite: Inception ResNet V2tesseract-ocr: Time To OCR 7 Imageshmmer: Pfam Database Searchbuild-linux-kernel: Time To Compilebuild-llvm: Time To Compiletnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.1vkfft: waifu2x-ncnn: 2x - 3 - Yesx265: Bosphorus 4Kx265: Bosphorus 1080pyquake2: OpenGL 1.x - 1920 x 1080yquake2: OpenGL 3.x - 1920 x 1080yquake2: Software CPU - 1920 x 1080compress-zstd: 3compress-zstd: 1912375578815430.262.1816.933.4337.09137975627.398.3052.39425.2362.7959.29758.589114.270702.9075.7996.688323.465741949082120634773814612.6208.0190.2306.318236.14334.9717.7565.36735.17546.22946.118530.99125405.988379614362465227122365300.542340004918.53832120.907003.3068655.509500.653666.741790.020040.394004.9613114400.76661.9990.9301.95469264192.9112.728.0314.5532.3457.373.249775730146.26286.4606.6316.1009763.1011116.353.5610496.652.5010575.649.1274.1121.433.198.85334.9314.9375.81942.573288454.911300.124.4950021.8723.826.666.184.796.329.211.9519.4272.5717.8318.9537.3232.964.848.282.573.572.322.789.330.915.7410.822.164.096.1011.26321.4232.1647.4326796.741020.64528.0522112.0299503.700249.3714.730571145.0604079102024932011111711717.748027.21161698.0246.94400.3721.0501.4043.04179.9552624535.481951987.091437805.002310604.621725875.7520.02298405611.9483870175572917280959259621266426504864724.567111.354159.3011215.501263.815260.260184327.1587.7734.71737.4977.8110.93687.721.176178815490.252.1716.663.4236.18138669467.398.352.46425.5862.6949.26758.628114.186701.8535.6086.476324.805673049047120679757349712.4777.9630.2296.274214.08331.8717.7045.33105.15636.14306.135430.94125808.658192384367935248122865470.550339696862.2959561.9720.9351.95864347952.9212.758.0314.6332.3857.573.329730688149.26388.2096.5756.03710001.8111146.353.6010635.351.2010711.549.1276.9121.443.208.84834.9954.9365.82442.444288457.511305.294.4820921.6723.716.646.114.826.279.11.9219.3072.1017.7518.5737.0532.844.858.252.583.582.332.769.340.885.7010.712.174.106.1311.29320.6032.2338.4207299.737919.19789.7474913.1798491.110262.3684.039101144.3604512101724832111111611717.747727.31161708.0846.74390.3651.0471.3703.06879.4182159676.181947660.531413366.452095708.191754885.3820.015100501251.9653869775574923279167259600266319504693324.505111.303160.5581214.944264.303260.451184797.1847.7835.12747.0977.8109.53632.021.276379015530.252.1816.913.4337.07137305567.378.3052.40425.3962.7699.26758.621114.261704.1335.6026.470325.175696048962120291739469912.5098.0260.2346.292203.50333.5117.6805.31625.14646.28006.140130.95625835.646713364369855256122865590.552339643088.4644962.7060.9311.9582.9212.768.0114.6032.3857.473.340649638145.65386.2936.5846.0649959.0611202.652.5510588.051.4510653.049.1475.2921.523.228.87435.1674.9105.81142.545288456.911304.014.4830821.8323.716.686.254.846.309.161.9219.5172.7218.0018.8137.3133.204.858.272.583.582.322.769.360.875.6910.612.174.096.0911.30321.6132.2648.8106599.968319.41449.8251712.8921462.801247.1564.067391144.7604322102124832111111711717.847627.31161688.1346.84380.3611.0581.3933.08780.3491559670.962004338.251459398.532135888.901695298.0320.02898640451.9963870095571717279158259575266346504843324.509111.494160.1491216.085264.123260.441184787.1837.7534.66730.4975.8110.43687.721.2OpenBenchmarking.org

AI Benchmark Alpha

Device Inference Score

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Inference Score123160320480640800755761763

AI Benchmark Alpha

Device Training Score

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Training Score1232004006008001000788788790

AI Benchmark Alpha

Device AI Score

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device AI Score12330060090012001500154315491553

AOM AV1

Encoder Mode: Speed 0 Two-Pass

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 0 Two-Pass1230.05850.1170.17550.2340.2925SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.260.250.251. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

AOM AV1

Encoder Mode: Speed 4 Two-Pass

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 4 Two-Pass1230.49050.9811.47151.9622.4525SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 32.182.172.181. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

AOM AV1

Encoder Mode: Speed 6 Realtime

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 Realtime12348121620SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 316.9316.6616.911. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

AOM AV1

Encoder Mode: Speed 6 Two-Pass

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 Two-Pass1230.77181.54362.31543.08723.859SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 33.433.423.431. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

AOM AV1

Encoder Mode: Speed 8 Realtime

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 8 Realtime123918273645SE +/- 0.08, N = 3SE +/- 0.53, N = 3SE +/- 0.08, N = 337.0936.1837.071. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

asmFish

1024 Hash Memory, 26 Depth

OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 Depth1233M6M9M12M15MSE +/- 23080.42, N = 3SE +/- 160984.48, N = 3SE +/- 105834.72, N = 3137975621386694613730556

ASTC Encoder

Preset: Fast

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Fast123246810SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 37.397.397.371. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

ASTC Encoder

Preset: Medium

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Medium123246810SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 38.308.308.301. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

ASTC Encoder

Preset: Thorough

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Thorough1231224364860SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 352.3952.4652.401. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

ASTC Encoder

Preset: Exhaustive

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Exhaustive12390180270360450SE +/- 0.13, N = 3SE +/- 0.16, N = 3SE +/- 0.06, N = 3425.23425.58425.391. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

Basis Universal

Settings: ETC1S

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: ETC1S1231428425670SE +/- 0.17, N = 3SE +/- 0.11, N = 3SE +/- 0.15, N = 362.8062.6962.771. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

Basis Universal

Settings: UASTC Level 0

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 01233691215SE +/- 0.015, N = 3SE +/- 0.018, N = 3SE +/- 0.014, N = 39.2979.2679.2671. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

Basis Universal

Settings: UASTC Level 2

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 21231326395265SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 358.5958.6358.621. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

Basis Universal

Settings: UASTC Level 3

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 3123306090120150SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3114.27114.19114.261. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

Basis Universal

Settings: UASTC Level 2 + RDO Post-Processing

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 2 + RDO Post-Processing123150300450600750SE +/- 1.79, N = 3SE +/- 0.97, N = 3SE +/- 1.97, N = 3702.91701.85704.131. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

Betsy GPU Compressor

Codec: ETC1 - Quality: Highest

OpenBenchmarking.orgSeconds, Fewer Is BetterBetsy GPU Compressor 1.1 BetaCodec: ETC1 - Quality: Highest1231.30482.60963.91445.21926.524SE +/- 0.224, N = 15SE +/- 0.062, N = 3SE +/- 0.064, N = 35.7995.6085.6021. (CXX) g++ options: -O3 -O2 -lpthread -ldl

Betsy GPU Compressor

Codec: ETC2 RGB - Quality: Highest

OpenBenchmarking.orgSeconds, Fewer Is BetterBetsy GPU Compressor 1.1 BetaCodec: ETC2 RGB - Quality: Highest123246810SE +/- 0.213, N = 15SE +/- 0.003, N = 3SE +/- 0.003, N = 36.6886.4766.4701. (CXX) g++ options: -O3 -O2 -lpthread -ldl

Blender

Blend File: BMW27 - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: BMW27 - Compute: CPU-Only12370140210280350SE +/- 0.35, N = 3SE +/- 0.44, N = 3SE +/- 0.71, N = 3323.46324.80325.17

BRL-CAD

VGR Performance Metric

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.30.8VGR Performance Metric12312K24K36K48K60K5741956730569601. (CXX) g++ options: -std=c++11 -pipe -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -pedantic -rdynamic -lSM -lICE -lXi -lGLU -lGL -lGLdispatch -lX11 -lXext -lXrender -lpthread -ldl -luuid -lm

Caffe

Model: AlexNet - Acceleration: CPU - Iterations: 100

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 10012311K22K33K44K55KSE +/- 14.01, N = 3SE +/- 8.08, N = 3SE +/- 27.06, N = 34908249047489621. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

Caffe

Model: GoogleNet - Acceleration: CPU - Iterations: 100

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 10012330K60K90K120K150KSE +/- 118.13, N = 3SE +/- 32.70, N = 3SE +/- 73.69, N = 31206341206791202911. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

Crafty

Elapsed Time

OpenBenchmarking.orgNodes Per Second, More Is BetterCrafty 25.2Elapsed Time1231.7M3.4M5.1M6.8M8.5MSE +/- 11851.34, N = 3SE +/- 103135.62, N = 3SE +/- 94283.61, N = 37738146757349773946991. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm

Darktable

Test: Boat - Acceleration: CPU-only

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Boat - Acceleration: CPU-only1233691215SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 312.6212.4812.51

Darktable

Test: Masskrug - Acceleration: CPU-only

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Masskrug - Acceleration: CPU-only123246810SE +/- 0.016, N = 3SE +/- 0.006, N = 3SE +/- 0.018, N = 38.0197.9638.026

Darktable

Test: Server Rack - Acceleration: CPU-only

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Server Rack - Acceleration: CPU-only1230.05270.10540.15810.21080.2635SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.004, N = 30.2300.2290.234

Darktable

Test: Server Room - Acceleration: CPU-only

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Server Room - Acceleration: CPU-only123246810SE +/- 0.003, N = 3SE +/- 0.010, N = 3SE +/- 0.002, N = 36.3186.2746.292

DDraceNetwork

Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: RaiNyMore2

OpenBenchmarking.orgFrames Per Second, More Is BetterDDraceNetwork 15.2.3Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: RaiNyMore212350100150200250SE +/- 9.66, N = 15SE +/- 13.98, N = 15SE +/- 13.89, N = 12236.14214.08203.50MIN: 35.16 / MAX: 498.75MIN: 33.12 / MAX: 476.64MIN: 27.45 / MAX: 451.061. (CXX) g++ options: -O3 -rdynamic -lcrypto -lz -lrt -lpthread -lcurl -lfreetype -lSDL2 -lwavpack -lopusfile -lopus -logg -lGL -lX11 -lnotify -lgdk_pixbuf-2.0 -lgio-2.0 -lgobject-2.0 -lglib-2.0

DDraceNetwork

Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: Multeasymap

OpenBenchmarking.orgFrames Per Second, More Is BetterDDraceNetwork 15.2.3Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: Multeasymap12370140210280350SE +/- 1.03, N = 3SE +/- 1.65, N = 3SE +/- 0.66, N = 3334.97331.87333.51MIN: 110.11 / MAX: 493.34MIN: 104.44 / MAX: 494.32MIN: 109.02 / MAX: 495.291. (CXX) g++ options: -O3 -rdynamic -lcrypto -lz -lrt -lpthread -lcurl -lfreetype -lSDL2 -lwavpack -lopusfile -lopus -logg -lGL -lX11 -lnotify -lgdk_pixbuf-2.0 -lgio-2.0 -lgobject-2.0 -lglib-2.0

DDraceNetwork

Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: Multeasymap - Total Frame Time

OpenBenchmarking.orgMilliseconds, Fewer Is BetterDDraceNetwork 15.2.3Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: Multeasymap - Total Frame Time1233691215Min: 2.07 / Avg: 2.98 / Max: 7.54Min: 2.09 / Avg: 3.02 / Max: 7.16Min: 2.02 / Avg: 3 / Max: 10.71. (CXX) g++ options: -O3 -rdynamic -lcrypto -lz -lrt -lpthread -lcurl -lfreetype -lSDL2 -lwavpack -lopusfile -lopus -logg -lGL -lX11 -lnotify -lgdk_pixbuf-2.0 -lgio-2.0 -lgobject-2.0 -lglib-2.0

Dolfyn

Computational Fluid Dynamics

OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid Dynamics12348121620SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 317.7617.7017.68

Embree

Binary: Pathtracer - Model: Crown

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Crown1231.20762.41523.62284.83046.038SE +/- 0.0401, N = 3SE +/- 0.0092, N = 3SE +/- 0.0526, N = 35.36735.33105.3162MIN: 4.89 / MAX: 5.49MIN: 5.3 / MAX: 5.4MIN: 4.89 / MAX: 5.45

Embree

Binary: Pathtracer ISPC - Model: Crown

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Crown1231.16452.3293.49354.6585.8225SE +/- 0.0016, N = 3SE +/- 0.0124, N = 3SE +/- 0.0320, N = 35.17545.15635.1464MIN: 5.15 / MAX: 5.25MIN: 5.11 / MAX: 5.25MIN: 5.05 / MAX: 5.25

Embree

Binary: Pathtracer - Model: Asian Dragon

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian Dragon123246810SE +/- 0.0315, N = 3SE +/- 0.0103, N = 3SE +/- 0.0267, N = 36.22946.14306.2800MIN: 6.16 / MAX: 6.36MIN: 6.1 / MAX: 6.24MIN: 6.21 / MAX: 6.4

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian Dragon123246810SE +/- 0.0222, N = 3SE +/- 0.0098, N = 3SE +/- 0.0025, N = 36.11856.13546.1401MIN: 6.05 / MAX: 6.22MIN: 6.09 / MAX: 6.22MIN: 6.11 / MAX: 6.21

eSpeak-NG Speech Engine

Text-To-Speech Synthesis

OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech Synthesis123714212835SE +/- 0.15, N = 4SE +/- 0.01, N = 4SE +/- 0.02, N = 430.9930.9430.961. (CC) gcc options: -O2 -std=c99

FFTE

N=256, 3D Complex FFT Routine

OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT Routine1236K12K18K24K30KSE +/- 31.78, N = 3SE +/- 19.99, N = 3SE +/- 17.94, N = 325405.9925808.6625835.651. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

Geekbench

Test: GPU Vulkan

OpenBenchmarking.orgScore, More Is BetterGeekbench 5Test: GPU Vulkan1238K16K24K32K40KSE +/- 459.84, N = 3SE +/- 115.14, N = 3SE +/- 56.79, N = 3362463679336985

Geekbench

Test: CPU Multi Core

OpenBenchmarking.orgScore, More Is BetterGeekbench 5Test: CPU Multi Core12311002200330044005500SE +/- 4.98, N = 3SE +/- 7.09, N = 3SE +/- 6.17, N = 3522752485256

Geekbench

Test: CPU Single Core

OpenBenchmarking.orgScore, More Is BetterGeekbench 5Test: CPU Single Core12330060090012001500SE +/- 0.58, N = 3SE +/- 1.33, N = 3SE +/- 0.88, N = 3122312281228

GLmark2

Resolution: 1920 x 1080

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 1920 x 108012314002800420056007000653065476559

GROMACS

Water Benchmark

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water Benchmark1230.12420.24840.37260.49680.621SE +/- 0.000, N = 3SE +/- 0.002, N = 3SE +/- 0.000, N = 30.5420.5500.5521. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm

Hierarchical INTegration

Test: FLOAT

OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOAT12370M140M210M280M350MSE +/- 215594.66, N = 3SE +/- 156026.35, N = 3SE +/- 106732.80, N = 3340004918.54339696862.30339643088.461. (CC) gcc options: -O3 -march=native -lm

HPC Challenge

Test / Class: G-HPL

OpenBenchmarking.orgGFLOPS, More Is BetterHPC Challenge 1.5.0Test / Class: G-HPL1306090120150120.911. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops2. ATLAS + Open MPI 4.0.3

HPC Challenge

Test / Class: G-Ffte

OpenBenchmarking.orgGFLOPS, More Is BetterHPC Challenge 1.5.0Test / Class: G-Ffte10.7441.4882.2322.9763.723.306861. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops2. ATLAS + Open MPI 4.0.3

HPC Challenge

Test / Class: EP-DGEMM

OpenBenchmarking.orgGFLOPS, More Is BetterHPC Challenge 1.5.0Test / Class: EP-DGEMM1122436486055.511. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops2. ATLAS + Open MPI 4.0.3

HPC Challenge

Test / Class: G-Ptrans

OpenBenchmarking.orgGB/s, More Is BetterHPC Challenge 1.5.0Test / Class: G-Ptrans10.14710.29420.44130.58840.73550.653661. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops2. ATLAS + Open MPI 4.0.3

HPC Challenge

Test / Class: EP-STREAM Triad

OpenBenchmarking.orgGB/s, More Is BetterHPC Challenge 1.5.0Test / Class: EP-STREAM Triad12468106.741791. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops2. ATLAS + Open MPI 4.0.3

HPC Challenge

Test / Class: G-Random Access

OpenBenchmarking.orgGUP/s, More Is BetterHPC Challenge 1.5.0Test / Class: G-Random Access10.00450.0090.01350.0180.02250.020041. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops2. ATLAS + Open MPI 4.0.3

HPC Challenge

Test / Class: Random Ring Latency

OpenBenchmarking.orgusecs, Fewer Is BetterHPC Challenge 1.5.0Test / Class: Random Ring Latency10.08870.17740.26610.35480.44350.394001. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops2. ATLAS + Open MPI 4.0.3

HPC Challenge

Test / Class: Random Ring Bandwidth

OpenBenchmarking.orgGB/s, More Is BetterHPC Challenge 1.5.0Test / Class: Random Ring Bandwidth11.11632.23263.34894.46525.58154.961311. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops2. ATLAS + Open MPI 4.0.3

HPC Challenge

Test / Class: Max Ping Pong Bandwidth

OpenBenchmarking.orgMB/s, More Is BetterHPC Challenge 1.5.0Test / Class: Max Ping Pong Bandwidth13K6K9K12K15K14400.771. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops2. ATLAS + Open MPI 4.0.3

Hugin

Panorama Photo Assistant + Stitching Time

OpenBenchmarking.orgSeconds, Fewer Is BetterHuginPanorama Photo Assistant + Stitching Time1231428425670SE +/- 0.29, N = 3SE +/- 0.43, N = 3SE +/- 0.37, N = 362.0061.9762.71

IndigoBench

Acceleration: CPU - Scene: Bedroom

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: Bedroom1230.21040.42080.63120.84161.052SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 30.9300.9350.931

IndigoBench

Acceleration: CPU - Scene: Supercar

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: Supercar1230.44060.88121.32181.76242.203SE +/- 0.005, N = 3SE +/- 0.004, N = 3SE +/- 0.001, N = 31.9541.9581.958

Kripke

OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.4121.5M3M4.5M6M7.5MSE +/- 717516.50, N = 2692641964347951. (CXX) g++ options: -O3 -fopenmp

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Medium

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Medium1230.6571.3141.9712.6283.285SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 32.912.922.921. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Kvazaar

Video Input: Bosphorus 1080p - Video Preset: Medium

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Medium1233691215SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 312.7212.7512.761. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Very Fast

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Very Fast123246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 38.038.038.011. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Ultra Fast

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Ultra Fast12348121620SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 314.5514.6314.601. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Kvazaar

Video Input: Bosphorus 1080p - Video Preset: Very Fast

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Very Fast123816243240SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 332.3432.3832.381. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Kvazaar

Video Input: Bosphorus 1080p - Video Preset: Ultra Fast

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Ultra Fast1231326395265SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.11, N = 357.3757.5757.471. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

LAMMPS Molecular Dynamics Simulator

Model: Rhodopsin Protein

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin Protein1230.75151.5032.25453.0063.7575SE +/- 0.052, N = 15SE +/- 0.029, N = 3SE +/- 0.021, N = 33.2493.3293.3401. (CXX) g++ options: -O3 -pthread -lm

LeelaChessZero

Backend: BLAS

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLAS1232004006008001000SE +/- 7.81, N = 3SE +/- 10.34, N = 4SE +/- 7.68, N = 97757306491. (CXX) g++ options: -flto -pthread

LeelaChessZero

Backend: Eigen

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: Eigen123160320480640800SE +/- 4.41, N = 3SE +/- 9.06, N = 5SE +/- 7.37, N = 97306886381. (CXX) g++ options: -flto -pthread

libavif avifenc

Encoder Speed: 0

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 0123306090120150SE +/- 0.63, N = 3SE +/- 0.61, N = 3SE +/- 0.42, N = 3146.26149.26145.651. (CXX) g++ options: -O3 -fPIC

libavif avifenc

Encoder Speed: 2

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 212320406080100SE +/- 0.23, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 386.4688.2186.291. (CXX) g++ options: -O3 -fPIC

libavif avifenc

Encoder Speed: 8

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 8123246810SE +/- 0.004, N = 3SE +/- 0.005, N = 3SE +/- 0.001, N = 36.6316.5756.5841. (CXX) g++ options: -O3 -fPIC

libavif avifenc

Encoder Speed: 10

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 10123246810SE +/- 0.015, N = 3SE +/- 0.019, N = 3SE +/- 0.017, N = 36.1006.0376.0641. (CXX) g++ options: -O3 -fPIC

LZ4 Compression

Compression Level: 1 - Compression Speed

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Compression Speed1232K4K6K8K10KSE +/- 45.71, N = 3SE +/- 99.34, N = 3SE +/- 105.59, N = 39763.1010001.819959.061. (CC) gcc options: -O3

LZ4 Compression

Compression Level: 1 - Decompression Speed

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Decompression Speed1232K4K6K8K10KSE +/- 46.13, N = 3SE +/- 12.36, N = 3SE +/- 11.80, N = 311116.311146.311202.61. (CC) gcc options: -O3

LZ4 Compression

Compression Level: 3 - Compression Speed

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Compression Speed1231224364860SE +/- 0.84, N = 3SE +/- 0.85, N = 3SE +/- 0.28, N = 353.5653.6052.551. (CC) gcc options: -O3

LZ4 Compression

Compression Level: 3 - Decompression Speed

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Decompression Speed1232K4K6K8K10KSE +/- 12.91, N = 3SE +/- 18.42, N = 3SE +/- 22.07, N = 310496.610635.310588.01. (CC) gcc options: -O3

LZ4 Compression

Compression Level: 9 - Compression Speed

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Compression Speed1231224364860SE +/- 0.72, N = 3SE +/- 0.27, N = 3SE +/- 0.03, N = 352.5051.2051.451. (CC) gcc options: -O3

LZ4 Compression

Compression Level: 9 - Decompression Speed

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Decompression Speed1232K4K6K8K10KSE +/- 23.62, N = 3SE +/- 8.30, N = 3SE +/- 26.11, N = 310575.610711.510653.01. (CC) gcc options: -O3

Mlpack Benchmark

Benchmark: scikit_ica

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_ica1231122334455SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 349.1249.1249.14

Mlpack Benchmark

Benchmark: scikit_qda

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qda12320406080100SE +/- 0.39, N = 3SE +/- 1.17, N = 12SE +/- 1.16, N = 374.1176.9175.29

Mlpack Benchmark

Benchmark: scikit_svm

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svm123510152025SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 321.4321.4421.52

Mlpack Benchmark

Benchmark: scikit_linearridgeregression

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregression1230.72451.4492.17352.8983.6225SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 33.193.203.22

Mobile Neural Network

Model: SqueezeNetV1.0

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: SqueezeNetV1.0123246810SE +/- 0.003, N = 3SE +/- 0.005, N = 3SE +/- 0.018, N = 38.8538.8488.874MIN: 8.76 / MAX: 11.24MIN: 8.76 / MAX: 9.86MIN: 8.77 / MAX: 11.461. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Mobile Neural Network

Model: resnet-v2-50

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50123816243240SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.25, N = 334.9335.0035.17MIN: 34.38 / MAX: 58.39MIN: 34.7 / MAX: 43.77MIN: 34.65 / MAX: 80.671. (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

Mobile Neural Network

Model: MobileNetV2_224

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: MobileNetV2_2241231.11082.22163.33244.44325.554SE +/- 0.018, N = 3SE +/- 0.020, N = 3SE +/- 0.030, N = 34.9374.9364.910MIN: 4.86 / MAX: 5.44MIN: 4.86 / MAX: 5.66MIN: 4.82 / MAX: 6.271. (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

Mobile Neural Network

Model: mobilenet-v1-1.0

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: mobilenet-v1-1.01231.31042.62083.93125.24166.552SE +/- 0.016, N = 3SE +/- 0.028, N = 3SE +/- 0.015, N = 35.8195.8245.811MIN: 5.74 / MAX: 6.34MIN: 5.72 / MAX: 25.28MIN: 5.73 / MAX: 15.061. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Mobile Neural Network

Model: inception-v3

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v31231020304050SE +/- 0.08, N = 3SE +/- 0.08, N = 3SE +/- 0.17, N = 342.5742.4442.55MIN: 42.21 / MAX: 51.92MIN: 42.09 / MAX: 51.33MIN: 42.02 / MAX: 58.271. (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

Monte Carlo Simulations of Ionised Nebulae

Input: Dust 2D tau100.0

OpenBenchmarking.orgSeconds, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24Input: Dust 2D tau100.012360120180240300SE +/- 0.58, N = 3SE +/- 0.67, N = 3SE +/- 0.88, N = 32882882881. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent -levent_pthreads -lutil -lrt -lz

MPV

Video Input: Big Buck Bunny Sunflower 4K - Decode: Software Only

OpenBenchmarking.orgFPS, More Is BetterMPVVideo Input: Big Buck Bunny Sunflower 4K - Decode: Software Only123100200300400500SE +/- 0.40, N = 3SE +/- 0.40, N = 3SE +/- 0.38, N = 3454.91457.51456.91MIN: 299.99 / MAX: 631.56MIN: 299.99 / MAX: 666.65MIN: 292.67 / MAX: 631.561. mpv 0.32.0

MPV

Video Input: Big Buck Bunny Sunflower 1080p - Decode: Software Only

OpenBenchmarking.orgFPS, More Is BetterMPVVideo Input: Big Buck Bunny Sunflower 1080p - Decode: Software Only12330060090012001500SE +/- 2.29, N = 3SE +/- 2.23, N = 3SE +/- 7.87, N = 31300.121305.291304.01MIN: 749.97 / MAX: 2399.95MIN: 799.97 / MAX: 2399.92MIN: 799.97 / MAX: 2399.921. mpv 0.32.0

NAMD

ATPase Simulation - 327,506 Atoms

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 Atoms1231.01142.02283.03424.04565.057SE +/- 0.00243, N = 3SE +/- 0.00085, N = 3SE +/- 0.00219, N = 34.495004.482094.48308

NCNN

Target: CPU - Model: squeezenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenet123510152025SE +/- 0.09, N = 3SE +/- 0.06, N = 3SE +/- 0.12, N = 321.8721.6721.83MIN: 21.59 / MAX: 23.26MIN: 21.39 / MAX: 37.01MIN: 21.56 / MAX: 22.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: mobilenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenet123612182430SE +/- 0.18, N = 3SE +/- 0.15, N = 3SE +/- 0.11, N = 323.8223.7123.71MIN: 23.36 / MAX: 24.99MIN: 23.3 / MAX: 24.65MIN: 23.46 / MAX: 24.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU-v2-v2 - Model: mobilenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2123246810SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 36.666.646.68MIN: 6.56 / MAX: 7.93MIN: 6.54 / MAX: 7.9MIN: 6.59 / MAX: 8.011. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU-v3-v3 - Model: mobilenet-v3

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3123246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 36.186.116.25MIN: 6.11 / MAX: 7.82MIN: 6.03 / MAX: 7.3MIN: 6.11 / MAX: 37.71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: shufflenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v21231.0892.1783.2674.3565.445SE +/- 0.04, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 34.794.824.84MIN: 4.65 / MAX: 5.62MIN: 4.76 / MAX: 6MIN: 4.76 / MAX: 5.651. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnet123246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 36.326.276.30MIN: 6.26 / MAX: 7.07MIN: 6.2 / MAX: 7.42MIN: 6.22 / MAX: 7.041. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: efficientnet-b0

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b01233691215SE +/- 0.05, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 39.219.109.16MIN: 9.07 / MAX: 14.29MIN: 9.02 / MAX: 9.48MIN: 9.06 / MAX: 9.61. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazeface1230.43880.87761.31641.75522.194SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 31.951.921.92MIN: 1.9 / MAX: 2.15MIN: 1.88 / MAX: 2.17MIN: 1.89 / MAX: 2.521. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet123510152025SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 319.4219.3019.51MIN: 19.3 / MAX: 24.48MIN: 19.11 / MAX: 38.78MIN: 19.37 / MAX: 20.621. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg161231632486480SE +/- 0.13, N = 3SE +/- 0.22, N = 3SE +/- 0.02, N = 372.5772.1072.72MIN: 72.08 / MAX: 107.37MIN: 71.61 / MAX: 88.56MIN: 72.42 / MAX: 80.731. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: resnet18

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet1812348121620SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 317.8317.7518.00MIN: 17.65 / MAX: 21.58MIN: 17.57 / MAX: 18.32MIN: 17.88 / MAX: 18.521. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnet123510152025SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 318.9518.5718.81MIN: 18.85 / MAX: 19.3MIN: 18.49 / MAX: 19.27MIN: 18.72 / MAX: 19.31. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50123918273645SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 337.3237.0537.31MIN: 37.15 / MAX: 39.69MIN: 36.81 / MAX: 38.07MIN: 37.14 / MAX: 39.491. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: yolov4-tiny

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tiny123816243240SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.07, N = 332.9632.8433.20MIN: 32.78 / MAX: 34.14MIN: 32.57 / MAX: 55.87MIN: 32.95 / MAX: 34.471. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: squeezenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenet1231.09132.18263.27394.36525.4565SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 34.844.854.85MIN: 4.71 / MAX: 5.84MIN: 4.69 / MAX: 5.86MIN: 4.71 / MAX: 5.841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: mobilenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenet123246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 38.288.258.27MIN: 7.59 / MAX: 11.65MIN: 7.57 / MAX: 11.24MIN: 7.6 / MAX: 11.31. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v2-v2 - Model: mobilenet-v21230.58051.1611.74152.3222.9025SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 32.572.582.58MIN: 2.53 / MAX: 3.17MIN: 2.53 / MAX: 5.2MIN: 2.53 / MAX: 3.721. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v31230.80551.6112.41653.2224.0275SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 33.573.583.58MIN: 3.54 / MAX: 4.28MIN: 3.53 / MAX: 4.28MIN: 3.54 / MAX: 4.31. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: shufflenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v21230.52431.04861.57292.09722.6215SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 32.322.332.32MIN: 2.28 / MAX: 3.46MIN: 2.3 / MAX: 2.98MIN: 2.29 / MAX: 2.741. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnet1230.62551.2511.87652.5023.1275SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 32.782.762.76MIN: 2.71 / MAX: 15.58MIN: 2.72 / MAX: 3.3MIN: 2.71 / MAX: 3.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: efficientnet-b0

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: efficientnet-b01233691215SE +/- 0.12, N = 3SE +/- 0.17, N = 3SE +/- 0.10, N = 39.339.349.36MIN: 8.97 / MAX: 19.5MIN: 8.93 / MAX: 17.56MIN: 8.96 / MAX: 201. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: blazeface1230.20480.40960.61440.81921.024SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 30.910.880.87MIN: 0.85 / MAX: 1.18MIN: 0.86 / MAX: 1.45MIN: 0.85 / MAX: 1.151. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenet1231.29152.5833.87455.1666.4575SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 35.745.705.69MIN: 5.64 / MAX: 15.26MIN: 5.65 / MAX: 8.52MIN: 5.63 / MAX: 10.181. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg161233691215SE +/- 0.16, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 310.8210.7110.61MIN: 10.18 / MAX: 24.02MIN: 10.19 / MAX: 20.01MIN: 10.2 / MAX: 241. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: resnet18

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet181230.48830.97661.46491.95322.4415SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 32.162.172.17MIN: 2.09 / MAX: 2.76MIN: 2.1 / MAX: 2.77MIN: 2.1 / MAX: 2.761. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnet1230.92251.8452.76753.694.6125SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 34.094.104.09MIN: 3.96 / MAX: 4.79MIN: 3.99 / MAX: 4.76MIN: 3.97 / MAX: 4.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet50123246810SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 36.106.136.09MIN: 6.06 / MAX: 10.11MIN: 6.04 / MAX: 11.31MIN: 6.06 / MAX: 6.391. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: yolov4-tiny

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: yolov4-tiny1233691215SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 311.2611.2911.30MIN: 11.09 / MAX: 11.79MIN: 11.1 / MAX: 11.73MIN: 11.15 / MAX: 11.621. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Numpy Benchmark

OpenBenchmarking.orgScore, More Is BetterNumpy Benchmark12370140210280350SE +/- 0.41, N = 3SE +/- 0.23, N = 3SE +/- 0.63, N = 3321.42320.60321.61

OCRMyPDF

Processing 60 Page PDF Document

OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 10.3.1+dfsgProcessing 60 Page PDF Document123714212835SE +/- 0.12, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 332.1632.2332.26

oneDNN

Harness: IP Batch 1D - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: f32 - Engine: CPU123246810SE +/- 0.03162, N = 3SE +/- 0.12292, N = 3SE +/- 0.12077, N = 157.432678.420728.81065MIN: 7.23MIN: 8.01MIN: 8.211. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

Harness: IP Batch All - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: f32 - Engine: CPU12320406080100SE +/- 0.07, N = 3SE +/- 0.13, N = 3SE +/- 0.89, N = 1596.7499.7499.97MIN: 95.29MIN: 97.89MIN: 95.991. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU123510152025SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 320.6519.2019.41MIN: 20.28MIN: 19.01MIN: 19.181. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU1233691215SE +/- 0.01249, N = 3SE +/- 0.12846, N = 3SE +/- 0.17039, N = 158.052219.747499.82517MIN: 7.86MIN: 9.46MIN: 8.651. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU1233691215SE +/- 0.02, N = 3SE +/- 0.17, N = 3SE +/- 0.02, N = 312.0313.1812.89MIN: 11.78MIN: 12.66MIN: 12.661. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU123110220330440550SE +/- 2.86, N = 3SE +/- 2.10, N = 3SE +/- 3.41, N = 3503.70491.11462.80MIN: 495.04MIN: 474.1MIN: 453.61. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU12360120180240300SE +/- 0.60, N = 3SE +/- 3.42, N = 3SE +/- 1.11, N = 3249.37262.37247.16MIN: 247.16MIN: 254.47MIN: 243.721. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU1231.06442.12883.19324.25765.322SE +/- 0.00490, N = 3SE +/- 0.01879, N = 3SE +/- 0.00436, N = 34.730574.039104.06739MIN: 4.66MIN: 3.96MIN: 3.991. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenSSL

RSA 4096-bit Performance

OpenBenchmarking.orgSigns Per Second, More Is BetterOpenSSL 1.1.1RSA 4096-bit Performance1232004006008001000SE +/- 0.15, N = 3SE +/- 0.27, N = 3SE +/- 0.07, N = 31145.01144.31144.71. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

PHPBench

PHP Benchmark Suite

OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark Suite123130K260K390K520K650KSE +/- 5320.80, N = 3SE +/- 3538.13, N = 3SE +/- 3258.38, N = 3604079604512604322

PyBench

Total For Average Test Times

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test Times1232004006008001000SE +/- 2.31, N = 3SE +/- 1.76, N = 3102010171021

PyPerformance

Benchmark: go

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: go12350100150200250SE +/- 0.33, N = 3249248248

PyPerformance

Benchmark: 2to3

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: 2to312370140210280350SE +/- 0.33, N = 3320321321

PyPerformance

Benchmark: chaos

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: chaos12320406080100111111111

PyPerformance

Benchmark: float

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: float123306090120150SE +/- 0.33, N = 3117116117

PyPerformance

Benchmark: nbody

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbody123306090120150117117117

PyPerformance

Benchmark: pathlib

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlib12348121620SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 317.717.717.8

PyPerformance

Benchmark: raytrace

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytrace123100200300400500SE +/- 0.33, N = 3480477476

PyPerformance

Benchmark: json_loads

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loads123612182430SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 327.227.327.3

PyPerformance

Benchmark: crypto_pyaes

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaes123306090120150116116116

PyPerformance

Benchmark: regex_compile

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compile1234080120160200169170168

PyPerformance

Benchmark: python_startup

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startup123246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 38.028.088.13

PyPerformance

Benchmark: django_template

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_template1231122334455SE +/- 0.10, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 346.946.746.8

PyPerformance

Benchmark: pickle_pure_python

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pickle_pure_python123100200300400500440439438

rav1e

Speed: 1

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 11230.08370.16740.25110.33480.4185SE +/- 0.004, N = 3SE +/- 0.005, N = 3SE +/- 0.006, N = 30.3720.3650.361

rav1e

Speed: 5

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 51230.23810.47620.71430.95241.1905SE +/- 0.007, N = 3SE +/- 0.004, N = 3SE +/- 0.000, N = 31.0501.0471.058

rav1e

Speed: 6

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 61230.31590.63180.94771.26361.5795SE +/- 0.007, N = 3SE +/- 0.006, N = 3SE +/- 0.011, N = 31.4041.3701.393

rav1e

Speed: 10

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 101230.69461.38922.08382.77843.473SE +/- 0.003, N = 3SE +/- 0.030, N = 3SE +/- 0.026, N = 33.0413.0683.087

RawTherapee

Total Benchmark Time

OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark Time12320406080100SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 379.9679.4280.351. RawTherapee, version 5.8, command line.

Redis

Test: LPOP

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: LPOP123600K1200K1800K2400K3000KSE +/- 39136.83, N = 15SE +/- 123032.71, N = 12SE +/- 13136.89, N = 32624535.482159676.181559670.961. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

Redis

Test: SADD

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SADD123400K800K1200K1600K2000KSE +/- 22720.13, N = 15SE +/- 25708.45, N = 15SE +/- 18274.51, N = 31951987.091947660.532004338.251. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

Redis

Test: LPUSH

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: LPUSH123300K600K900K1200K1500KSE +/- 14444.21, N = 3SE +/- 12228.65, N = 3SE +/- 13914.34, N = 151437805.001413366.451459398.531. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

Redis

Test: GET

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: GET123500K1000K1500K2000K2500KSE +/- 40313.16, N = 15SE +/- 26352.66, N = 15SE +/- 21009.40, N = 152310604.622095708.192135888.901. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

Redis

Test: SET

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SET123400K800K1200K1600K2000KSE +/- 18920.71, N = 3SE +/- 29276.53, N = 3SE +/- 19775.05, N = 151725875.751754885.381695298.031. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

RNNoise

OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28123510152025SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 320.0220.0220.031. (CC) gcc options: -O2 -pedantic -fvisibility=hidden

Stockfish

Total Time

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 12Total Time1232M4M6M8M10MSE +/- 111801.84, N = 6SE +/- 45923.84, N = 3SE +/- 124228.11, N = 398405611005012598640451. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++17 -pedantic -O3 -msse -msse3 -mpopcnt -msse4.1 -mssse3 -msse2 -flto -flto=jobserver

Sunflow Rendering System

Global Illumination + Image Synthesis

OpenBenchmarking.orgSeconds, Fewer Is BetterSunflow Rendering System 0.07.2Global Illumination + Image Synthesis1230.44910.89821.34731.79642.2455SE +/- 0.029, N = 4SE +/- 0.024, N = 3SE +/- 0.023, N = 31.9481.9651.996MIN: 1.73 / MAX: 2.71MIN: 1.78 / MAX: 2.54MIN: 1.81 / MAX: 2.69

TensorFlow Lite

Model: SqueezeNet

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNet12380K160K240K320K400KSE +/- 60.36, N = 3SE +/- 56.90, N = 3SE +/- 10.21, N = 3387017386977387009

TensorFlow Lite

Model: Inception V4

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V41231.2M2.4M3.6M4.8M6MSE +/- 421.91, N = 3SE +/- 2695.68, N = 3SE +/- 230.96, N = 3557291755749235571717

TensorFlow Lite

Model: NASNet Mobile

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet Mobile12360K120K180K240K300KSE +/- 1226.74, N = 3SE +/- 79.18, N = 3SE +/- 151.01, N = 3280959279167279158

TensorFlow Lite

Model: Mobilenet Float

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet Float12360K120K180K240K300KSE +/- 20.61, N = 3SE +/- 44.31, N = 3SE +/- 21.18, N = 3259621259600259575

TensorFlow Lite

Model: Mobilenet Quant

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet Quant12360K120K180K240K300KSE +/- 51.91, N = 3SE +/- 131.03, N = 3SE +/- 60.84, N = 3266426266319266346

TensorFlow Lite

Model: Inception ResNet V2

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V21231.1M2.2M3.3M4.4M5.5MSE +/- 308.45, N = 3SE +/- 255.76, N = 3SE +/- 2537.61, N = 3504864750469335048433

Tesseract OCR

Time To OCR 7 Images

OpenBenchmarking.orgSeconds, Fewer Is BetterTesseract OCR 4.1.1Time To OCR 7 Images123612182430SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 324.5724.5124.51

Timed HMMer Search

Pfam Database Search

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database Search12320406080100SE +/- 0.15, N = 3SE +/- 0.11, N = 3SE +/- 0.23, N = 3111.35111.30111.491. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

Timed Linux Kernel Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To Compile1234080120160200SE +/- 0.52, N = 3SE +/- 1.04, N = 3SE +/- 0.59, N = 3159.30160.56160.15

Timed LLVM Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 10.0Time To Compile12330060090012001500SE +/- 1.95, N = 3SE +/- 1.32, N = 3SE +/- 0.35, N = 31215.501214.941216.09

TNN

Target: CPU - Model: MobileNet v2

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v212360120180240300SE +/- 0.00, N = 3SE +/- 0.19, N = 3SE +/- 0.03, N = 3263.82264.30264.12MIN: 263.16 / MAX: 270.27MIN: 263.28 / MAX: 314.67MIN: 263.32 / MAX: 271.641. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

TNN

Target: CPU - Model: SqueezeNet v1.1

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.112360120180240300SE +/- 0.22, N = 3SE +/- 0.15, N = 3SE +/- 0.05, N = 3260.26260.45260.44MIN: 259.28 / MAX: 261.34MIN: 259.62 / MAX: 261.24MIN: 259.68 / MAX: 261.291. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

VkFFT

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 2020-09-291234K8K12K16K20KSE +/- 80.13, N = 3SE +/- 18.75, N = 3SE +/- 15.18, N = 3184321847918478

Waifu2x-NCNN Vulkan

Scale: 2x - Denoise: 3 - TAA: Yes

OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: Yes123246810SE +/- 0.002, N = 3SE +/- 0.007, N = 3SE +/- 0.008, N = 37.1587.1847.183

x265

Video Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4K123246810SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.05, N = 37.777.787.751. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

x265

Video Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 1080p123816243240SE +/- 0.05, N = 3SE +/- 0.20, N = 3SE +/- 0.22, N = 334.7135.1234.661. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

yquake2

Renderer: OpenGL 1.x - Resolution: 1920 x 1080

OpenBenchmarking.orgFrames Per Second, More Is Betteryquake2 7.45Renderer: OpenGL 1.x - Resolution: 1920 x 1080123160320480640800SE +/- 8.88, N = 3SE +/- 9.93, N = 3SE +/- 1.13, N = 3737.4747.0730.41. (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

yquake2

Renderer: OpenGL 3.x - Resolution: 1920 x 1080

OpenBenchmarking.orgFrames Per Second, More Is Betteryquake2 7.45Renderer: OpenGL 3.x - Resolution: 1920 x 10801232004006008001000SE +/- 1.84, N = 3SE +/- 0.50, N = 3SE +/- 2.82, N = 3977.8977.8975.81. (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

yquake2

Renderer: Software CPU - Resolution: 1920 x 1080

OpenBenchmarking.orgFrames Per Second, More Is Betteryquake2 7.45Renderer: Software CPU - Resolution: 1920 x 108012320406080100SE +/- 0.48, N = 3SE +/- 0.30, N = 3SE +/- 0.31, N = 3110.9109.5110.41. (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

Zstd Compression

Compression Level: 3

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 31238001600240032004000SE +/- 19.56, N = 3SE +/- 37.93, N = 3SE +/- 19.08, N = 33687.73632.03687.71. (CC) gcc options: -O3 -pthread -lz -llzma

Zstd Compression

Compression Level: 19

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19123510152025SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 321.121.221.21. (CC) gcc options: -O3 -pthread -lz -llzma


Phoronix Test Suite v10.8.4