Ryzen 7 1700 + RX 480

AMD Ryzen 7 1700 Eight-Core testing with a MSI B350 TOMAHAWK (MS-7A34) v1.0 (1.H0 BIOS) and AMD Radeon RX 470/480/570/570X/580/580X/590 8GB on Ubuntu 20.10 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2012315-HA-RYZEN717043&grs.

Ryzen 7 1700 + RX 480ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen ResolutionDefault KernelLinux 5.10.4Linux 5.11-rc1AMD Ryzen 7 1700 Eight-Core @ 3.00GHz (8 Cores / 16 Threads)MSI B350 TOMAHAWK (MS-7A34) v1.0 (1.H0 BIOS)AMD 17h16GB120GB Samsung SSD 840AMD Radeon RX 470/480/570/570X/580/580X/590 8GB (1266/2000MHz)AMD Ellesmere HDMI AudioVA2431Realtek RTL8111/8168/8411Ubuntu 20.105.8.0-33-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 10.2.0ext41920x10805.10.4-051004-generic (x86_64)5.11.0-rc1-phx (x86_64) 20201228OpenBenchmarking.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 Disk Details- MQ-DEADLINE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Details- Default Kernel: Scaling Governor: acpi-cpufreq ondemand (Boost: Enabled) - CPU Microcode: 0x8001137- Linux 5.10.4: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0x8001137- Linux 5.11-rc1: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0x8001137Graphics 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

Ryzen 7 1700 + RX 480redis: LPOPpyperformance: python_startuponednn: IP Shapes 3D - f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUncnn: CPU - resnet50ncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - googlenetncnn: CPU - googlenetncnn: CPU - resnet18hmmer: Pfam Database Searchncnn: CPU - mobilenetncnn: CPU - yolov4-tinyncnn: Vulkan GPU - mobilenetclomp: Static OMP Speedupncnn: CPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: CPU-v2-v2 - mobilenet-v2ncnn: Vulkan GPU - squeezenet_ssdncnn: CPU - shufflenet-v2ncnn: CPU - mnasnetncnn: CPU - efficientnet-b0ncnn: CPU - squeezenet_ssddeepspeech: CPUncnn: Vulkan GPU - mnasnetncnn: Vulkan GPU - blazefacepolyhedron: tfft2ncnn: Vulkan GPU - efficientnet-b0ncnn: CPU - vgg16redis: GETncnn: Vulkan GPU - vgg16tensorflow-lite: NASNet Mobileonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUncnn: CPU - regnety_400mncnn: Vulkan GPU-v3-v3 - mobilenet-v3webp: Quality 100, Lossless, Highest Compressionncnn: Vulkan GPU - shufflenet-v2tensorflow-lite: Inception ResNet V2tensorflow-lite: Inception V4ncnn: Vulkan GPU - regnety_400mcryptsetup: Twofish-XTS 256b Decryptioncryptsetup: Serpent-XTS 256b Decryptiontensorflow-lite: Mobilenet Quantcryptsetup: Twofish-XTS 512b Encryptiononednn: Deconvolution Batch shapes_1d - f32 - CPUcryptsetup: Serpent-XTS 512b Decryptiontensorflow-lite: Mobilenet Floatcryptsetup: Twofish-XTS 512b Decryptionwebp: Quality 100, Losslessmnn: inception-v3webp: Quality 100cryptsetup: Serpent-XTS 512b Encryptionpyperformance: pathlibgimp: resizebuild-eigen: Time To Compilecryptsetup: Twofish-XTS 256b Encryptioncryptsetup: AES-XTS 512b Encryptioncryptsetup: PBKDF2-whirlpoolcryptsetup: Serpent-XTS 256b Encryptionredis: SETcryptsetup: AES-XTS 256b Decryptioncryptsetup: AES-XTS 512b Decryptionrnnoise: mnn: SqueezeNetV1.0encode-opus: WAV To Opus Encodepyperformance: json_loadscryptsetup: AES-XTS 256b Encryptionbyte: Dhrystone 2encode-mp3: WAV To MP3compress-lz4: 9 - Compression Speedencode-wavpack: WAV To WavPackglmark2: 1280 x 1024polyhedron: mdbxtnn: CPU - SqueezeNet v1.1polyhedron: acpolyhedron: fatigue2pyperformance: chaosphpbench: PHP Benchmark Suitemnn: MobileNetV2_224encode-ape: WAV To APEpolyhedron: induct2onednn: IP Shapes 3D - u8s8f32 - CPUpolyhedron: proteinpolyhedron: doducwebp: Defaultpolyhedron: mp_prop_designpyperformance: raytracepyperformance: floatpolyhedron: airpyperformance: crypto_pyaespyperformance: regex_compilecompress-lz4: 3 - Compression Speedpolyhedron: test_fpu2simdjson: Kostyapyperformance: nbodysqlite-speedtest: Timed Time - Size 1,000encode-flac: WAV To FLACwebp: Quality 100, Highest Compressiononednn: Convolution Batch Shapes Auto - f32 - CPUhint: FLOATpolyhedron: aermodncnn: Vulkan GPU - alexnetcryptsetup: PBKDF2-sha512pyperformance: pickle_pure_pythonpolyhedron: rnflowredis: SADDpyperformance: gobasis: UASTC Level 0ncnn: CPU - alexnetdarktable: Server Rack - CPU-onlyglmark2: 1920 x 1080pyperformance: django_templatemnn: resnet-v2-50numpy: ffte: N=256, 3D Complex FFT Routineonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUtensorflow-lite: SqueezeNetavifenc: 8tnn: CPU - MobileNet v2simdjson: LargeRandonednn: Recurrent Neural Network Inference - u8s8f32 - CPUnode-web-tooling: basis: ETC1Sgimp: auto-levelsonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUcompress-lz4: 1 - Decompression Speedonednn: Recurrent Neural Network Training - u8s8f32 - CPUdarktable: Masskrug - CPU-onlydarktable: Server Room - CPU-onlyavifenc: 10avifenc: 0mnn: mobilenet-v1-1.0compress-lz4: 1 - Compression Speedastcenc: Fastpyperformance: 2to3onednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: IP Shapes 1D - f32 - CPUespeak: Text-To-Speech Synthesismafft: Multiple Sequence Alignment - LSU RNApolyhedron: gas_dyn2stockfish: Total Timevkmark: 1280 x 1024rsvg: SVG Files To PNGunpack-linux: linux-4.15.tar.xzyquake2: Software CPU - 1920 x 1080appleseed: Disney Materialvkmark: 1920 x 1080ai-benchmark: Device Training Scorecompress-xz: Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9darktable: Boat - CPU-onlyvkfft: sunflow: Global Illumination + Image Synthesisgromacs: Water Benchmarkunpack-firefox: firefox-84.0.source.tar.xzasmfish: 1024 Hash Memory, 26 Depthwireguard: avifenc: 2yquake2: OpenGL 1.x - 1920 x 1080onednn: IP Shapes 1D - u8s8f32 - CPUembree: Pathtracer ISPC - Asian Dragononednn: Deconvolution Batch shapes_3d - f32 - CPUai-benchmark: Device AI Scoregimp: unsharp-maskbuild-ffmpeg: Time To Compilepolyhedron: channel2compress-zstd: 19blender: BMW27 - CPU-Onlybasis: UASTC Level 2rawtherapee: Total Benchmark Timegimp: rotaterav1e: 1polyhedron: linpkrav1e: 5indigobench: CPU - Bedroomyquake2: OpenGL 3.x - 1920 x 1080astcenc: Thoroughembree: Pathtracer - Asian Dragonastcenc: Exhaustivecoremark: CoreMark Size 666 - Iterations Per Secondredis: LPUSHastcenc: Mediumbasis: UASTC Level 2 + RDO Post-Processingrav1e: 10indigobench: CPU - Supercarappleseed: Material Testerblender: Fishy Cat - CPU-Onlybuild-linux-kernel: Time To Compilebuild-llvm: Time To Compileembree: Pathtracer - Crownai-benchmark: Device Inference Scorecompress-lz4: 9 - Decompression Speedcompress-zstd: 3embree: Pathtracer ISPC - Crownbasis: UASTC Level 3embree: Pathtracer - Asian Dragon Objonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUappleseed: Emilycompress-lz4: 3 - Decompression Speedembree: Pathtracer ISPC - Asian Dragon Objbuild2: Time To Compilerav1e: 6polyhedron: capacitasimdjson: DistinctUserIDsimdjson: PartialTweetsncnn: Vulkan GPU - yolov4-tinyncnn: Vulkan GPU - resnet18ncnn: CPU - blazefaceonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUlammps: Rhodopsin ProteinDefault KernelLinux 5.10.4Linux 5.11-rc12014169.2912.211.56735.3314658.3859.3131.6031.7725.46151.89338.4749.9238.457.810.0911.6211.9137.3111.5910.8515.5537.1594.0023810.563.8525.0915.2385.701863679.1185.392234266.6075323.828333.499.5950.89011.003299807364970032.86331.7320.6177091333.311.3777321.6169941334.424.46477.1432.831326.125.010.750117.955333.21356.0550533325.11363650.751531.11359.724.18012.6909.54237.41521.633310090.410.37036.0316.20860385.88308.4957.7463.321604751376.96517.20825.162.9420317.029.341.77474.877141641.7815423336.9437.10.3617083.92811.5949.47822.7874282568835.298867.5817.09130011569716.771540737.6735310.45116.960.218443280.971.661246.2629782.8821339564749.062514997.048324.2680.334737.797.2464.56316.0329027.634742.118129.29028.506.7455.2106.622131.13813.6247192.297.724619002.539.3492738.90814.56461.7313361457618434.3177.40385.4322.771845466466747.56513.747102741.5810.52426.47119306833300.1976.654631.87.031977.975917.0012124819.01685.70859.5122.5237.5343.97778.65215.4070.2564.810.7651.335944.336.958.3970303.53267555.2329461065654.106.11867.8082.3492.828287.576718329.39131.3151057.6307.33125817828.52849.06.768982.3887.801413.3370539.9550627835.57.2063232.9861.02216.180.460.4550.0626.053.6114.78234.3111075736.6620.78.810624.2415146.3747.2126.2825.8320.97128.72632.2141.8032.799.38.5010.1410.0931.619.829.2213.2431.80109.729309.063.4629.0213.2874.431611434.0874.532089525.7824820.986429.378.4544.8549.713174873351243029.49367.1354.9170472369.912.6415356.7163162368.222.49669.8662.575359.322.811.832109.471364.81485.4603098356.41243969.701668.21488.722.11311.6598.72134.31658.935909522.39.49039.1914.87065425.42282.8397.158.151515170246.40215.83923.152.8786515.658.611.63968.886611511.6614321540.0134.240.3915977.51710.7108.87221.0535305670769.362877.0915.81140372765115.651429878.043369.86015.780.233472275.967.179262.1531684.7444600844488.102445046.700305.6420.354482.277.6760.99816.9038564.544497.068560.18575.956.3924.9406.312126.02712.9567525.637.354448588.649.8046040.27214.59959.1513559816635035.6527.13188.2316.758583473268946.20513.32299721.5370.53925.74419840743308.46774.657641.46.859758.173917.3787127719.19383.80658.2122.9232.4643.09277.08215.2840.2614.730.7791.354960.536.588.5188300.62270279.6862071049901.526.05855.3552.3162.867291.466605325.24129.8251044.4597.34975887895.52838.66.793481.4757.872213.2398535.014137899.37.2702231.0051.02016.240.460.4542.4620.923.3814.31144.7201114626.2520.78.613724.1685546.4047.6525.2726.2921.96127.07132.6343.1932.209.18.609.8110.3131.769.869.3513.5131.73108.333029.053.3029.2213.0974.001727854.7574.672392035.8771320.869529.608.6945.15910.043580783394770329.35369.8357.3189637370.612.4213355.3180798369.322.15669.8982.56835822.711.833107.161366.21488.7603787356.51297244.291678.31485.422.09211.5968.82734.21663.436408424.29.49639.3614.85365875.39282.8157.158.151475137406.42915.81923.132.7049815.658.591.63268.936571511.6414221540.0334.310.3915778.38710.9308.75621.0906305438957.416097.0115.86140497364615.551465965.543289.71715.870.234475575.566.976262.7531043.7259141444470.712596456.639310.4220.354468.087.6260.95116.9818540.484486.348592.38545.336.3974.9596.284124.54212.9397572.237.424398583.129.4935438.41915.25159.0813897759642634.9987.16088.6311.487833482768546.08513.34399671.5820.53525.98619661267308.38075.056625.36.922078.102217.4095126919.45283.88358.2123.0236.5743.27778.29015.1010.2594.720.7741.359947.337.28.3775305.64271886.2541011053853.026.14857.2282.3472.843289.579019326.50129.6771050.4457.42245847920.92872.06.845881.6207.882413.2091536.8426687906.87.2554231.5351.02816.20.460.4541.0519.903.4714.45104.762OpenBenchmarking.org

Redis

Test: LPOP

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: LPOPDefault KernelLinux 5.10.4Linux 5.11-rc1400K800K1200K1600K2000KSE +/- 30740.73, N = 12SE +/- 2684.98, N = 3SE +/- 5120.03, N = 32014169.291075736.661114626.251. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

PyPerformance

Benchmark: python_startup

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupDefault KernelLinux 5.10.4Linux 5.11-rc1510152025SE +/- 0.00, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 312.220.720.7

oneDNN

Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: f32 - Engine: CPUDefault KernelLinux 5.10.4Linux 5.11-rc13691215SE +/- 0.03621, N = 3SE +/- 0.02920, N = 3SE +/- 0.01700, N = 311.567308.810628.61372MIN: 10.87MIN: 8.51MIN: 8.271. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPUDefault KernelLinux 5.10.4Linux 5.11-rc11.19962.39923.59884.79845.998SE +/- 0.00649, N = 3SE +/- 0.00670, N = 3SE +/- 0.00397, N = 35.331464.241514.16855MIN: 4.84MIN: 4.14MIN: 4.061. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

NCNN

Target: CPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet50Default KernelLinux 5.10.4Linux 5.11-rc11326395265SE +/- 0.59, N = 3SE +/- 0.32, N = 15SE +/- 0.09, N = 358.3846.3746.40MIN: 48.11 / MAX: 109.51MIN: 45.13 / MAX: 83.86MIN: 46.13 / MAX: 46.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: resnet50Default KernelLinux 5.10.4Linux 5.11-rc11326395265SE +/- 0.58, N = 3SE +/- 1.01, N = 3SE +/- 1.19, N = 359.3147.2147.65MIN: 48.12 / MAX: 109.05MIN: 45.3 / MAX: 81.34MIN: 46.22 / MAX: 82.461. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: googlenetDefault KernelLinux 5.10.4Linux 5.11-rc1714212835SE +/- 0.32, N = 3SE +/- 0.11, N = 3SE +/- 0.76, N = 331.6026.2825.27MIN: 24.42 / MAX: 69.85MIN: 25.18 / MAX: 37.2MIN: 22.73 / MAX: 45.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: googlenetDefault KernelLinux 5.10.4Linux 5.11-rc1714212835SE +/- 0.18, N = 3SE +/- 0.32, N = 15SE +/- 0.11, N = 331.7725.8326.29MIN: 23.25 / MAX: 69.93MIN: 22.76 / MAX: 58.24MIN: 23.04 / MAX: 29.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: resnet18

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet18Default KernelLinux 5.10.4Linux 5.11-rc1612182430SE +/- 0.22, N = 3SE +/- 0.28, N = 15SE +/- 0.20, N = 325.4620.9721.96MIN: 19.81 / MAX: 59.82MIN: 18.91 / MAX: 67.27MIN: 19.15 / MAX: 54.431. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Timed HMMer Search

Pfam Database Search

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database SearchDefault KernelLinux 5.10.4Linux 5.11-rc1306090120150SE +/- 0.27, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3151.89128.73127.071. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

NCNN

Target: CPU - Model: mobilenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mobilenetDefault KernelLinux 5.10.4Linux 5.11-rc1918273645SE +/- 0.44, N = 3SE +/- 0.29, N = 15SE +/- 0.27, N = 338.4732.2132.63MIN: 33.17 / MAX: 75.32MIN: 30.06 / MAX: 44.1MIN: 31.52 / MAX: 114.191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: yolov4-tiny

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: yolov4-tinyDefault KernelLinux 5.10.4Linux 5.11-rc11122334455SE +/- 0.08, N = 3SE +/- 0.49, N = 15SE +/- 0.01, N = 349.9241.8043.19MIN: 41.04 / MAX: 67.32MIN: 36.06 / MAX: 63.79MIN: 41.97 / MAX: 48.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: mobilenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: mobilenetDefault KernelLinux 5.10.4Linux 5.11-rc1918273645SE +/- 0.03, N = 3SE +/- 0.19, N = 3SE +/- 0.20, N = 338.4532.7932.20MIN: 33.4 / MAX: 77.43MIN: 30.27 / MAX: 45.97MIN: 30.63 / MAX: 391. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

CLOMP

Static OMP Speedup

OpenBenchmarking.orgSpeedup, More Is BetterCLOMP 1.2Static OMP SpeedupDefault KernelLinux 5.10.4Linux 5.11-rc13691215SE +/- 0.09, N = 4SE +/- 0.11, N = 15SE +/- 0.12, N = 37.89.39.11. (CC) gcc options: -fopenmp -O3 -lm

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3 - Model: mobilenet-v3Default KernelLinux 5.10.4Linux 5.11-rc13691215SE +/- 0.20, N = 3SE +/- 0.03, N = 15SE +/- 0.09, N = 310.098.508.60MIN: 8.08 / MAX: 57.72MIN: 8.19 / MAX: 20.56MIN: 8.28 / MAX: 22.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2Default KernelLinux 5.10.4Linux 5.11-rc13691215SE +/- 0.19, N = 3SE +/- 0.21, N = 3SE +/- 0.04, N = 311.6210.149.81MIN: 9.25 / MAX: 43.5MIN: 9.38 / MAX: 12.94MIN: 9.63 / MAX: 13.771. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2 - Model: mobilenet-v2Default KernelLinux 5.10.4Linux 5.11-rc13691215SE +/- 0.15, N = 3SE +/- 0.11, N = 15SE +/- 0.21, N = 311.9110.0910.31MIN: 9.52 / MAX: 44.02MIN: 9.47 / MAX: 59.9MIN: 9.57 / MAX: 22.621. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: squeezenet_ssd

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: squeezenet_ssdDefault KernelLinux 5.10.4Linux 5.11-rc1918273645SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 337.3131.6131.76MIN: 32.73 / MAX: 94.67MIN: 30.89 / MAX: 38.84MIN: 30.84 / MAX: 39.081. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: shufflenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: shufflenet-v2Default KernelLinux 5.10.4Linux 5.11-rc13691215SE +/- 0.14, N = 3SE +/- 0.03, N = 15SE +/- 0.05, N = 311.599.829.86MIN: 9.62 / MAX: 57.85MIN: 9.61 / MAX: 11.52MIN: 9.73 / MAX: 10.131. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mnasnetDefault KernelLinux 5.10.4Linux 5.11-rc13691215SE +/- 0.27, N = 3SE +/- 0.07, N = 15SE +/- 0.16, N = 310.859.229.35MIN: 8.7 / MAX: 50.23MIN: 8.76 / MAX: 13.65MIN: 9.12 / MAX: 10.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: efficientnet-b0

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: efficientnet-b0Default KernelLinux 5.10.4Linux 5.11-rc148121620SE +/- 0.25, N = 3SE +/- 0.11, N = 15SE +/- 0.29, N = 315.5513.2413.51MIN: 12.82 / MAX: 44.91MIN: 12.68 / MAX: 56.97MIN: 13.14 / MAX: 14.471. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: squeezenet_ssd

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: squeezenet_ssdDefault KernelLinux 5.10.4Linux 5.11-rc1918273645SE +/- 0.35, N = 3SE +/- 0.14, N = 15SE +/- 0.04, N = 337.1531.8031.73MIN: 32.74 / MAX: 88.45MIN: 30.81 / MAX: 42.83MIN: 30.96 / MAX: 37.381. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

DeepSpeech

Acceleration: CPU

OpenBenchmarking.orgSeconds, Fewer Is BetterDeepSpeech 0.6Acceleration: CPUDefault KernelLinux 5.10.4Linux 5.11-rc120406080100SE +/- 0.16, N = 3SE +/- 0.78, N = 15SE +/- 0.94, N = 894.00109.73108.33

NCNN

Target: Vulkan GPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: mnasnetDefault KernelLinux 5.10.4Linux 5.11-rc13691215SE +/- 0.25, N = 3SE +/- 0.12, N = 3SE +/- 0.13, N = 310.569.069.05MIN: 8.6 / MAX: 49.35MIN: 8.8 / MAX: 9.55MIN: 8.77 / MAX: 32.061. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: blazefaceDefault KernelLinux 5.10.4Linux 5.11-rc10.86631.73262.59893.46524.3315SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 33.853.463.30MIN: 3.16 / MAX: 16.49MIN: 3.33 / MAX: 7.35MIN: 3.22 / MAX: 3.771. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Polyhedron Fortran Benchmarks

Benchmark: tfft2

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: tfft2Default KernelLinux 5.10.4Linux 5.11-rc171421283525.0929.0229.22

NCNN

Target: Vulkan GPU - Model: efficientnet-b0

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: efficientnet-b0Default KernelLinux 5.10.4Linux 5.11-rc148121620SE +/- 0.14, N = 3SE +/- 0.03, N = 3SE +/- 0.10, N = 315.2313.2813.09MIN: 12.91 / MAX: 49.97MIN: 13.12 / MAX: 14.99MIN: 12.94 / MAX: 14.951. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: vgg16Default KernelLinux 5.10.4Linux 5.11-rc120406080100SE +/- 0.20, N = 3SE +/- 0.16, N = 15SE +/- 0.12, N = 385.7074.4374.00MIN: 76.58 / MAX: 109.13MIN: 73.09 / MAX: 107.82MIN: 73.3 / MAX: 82.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Redis

Test: GET

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: GETDefault KernelLinux 5.10.4Linux 5.11-rc1400K800K1200K1600K2000KSE +/- 22737.24, N = 15SE +/- 11369.12, N = 3SE +/- 16571.48, N = 31863679.111611434.081727854.751. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

NCNN

Target: Vulkan GPU - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: vgg16Default KernelLinux 5.10.4Linux 5.11-rc120406080100SE +/- 0.33, N = 3SE +/- 0.36, N = 3SE +/- 0.33, N = 385.3974.5374.67MIN: 76.96 / MAX: 108.88MIN: 73.33 / MAX: 84.41MIN: 73.34 / MAX: 83.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

TensorFlow Lite

Model: NASNet Mobile

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileDefault KernelLinux 5.10.4Linux 5.11-rc150K100K150K200K250KSE +/- 1532.37, N = 3SE +/- 207.90, N = 3SE +/- 1205.42, N = 3223426208952239203

oneDNN

Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPUDefault KernelLinux 5.10.4Linux 5.11-rc1246810SE +/- 0.07065, N = 5SE +/- 0.05897, N = 15SE +/- 0.01520, N = 36.607535.782485.87713MIN: 5.69MIN: 5.23MIN: 5.591. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUDefault KernelLinux 5.10.4Linux 5.11-rc1612182430SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 323.8320.9920.87MIN: 22.68MIN: 20.72MIN: 20.571. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

NCNN

Target: CPU - Model: regnety_400m

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: regnety_400mDefault KernelLinux 5.10.4Linux 5.11-rc1816243240SE +/- 0.53, N = 3SE +/- 0.09, N = 15SE +/- 0.06, N = 333.4929.3729.60MIN: 30.17 / MAX: 68.43MIN: 28.47 / MAX: 73.28MIN: 29.39 / MAX: 40.111. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3Default KernelLinux 5.10.4Linux 5.11-rc13691215SE +/- 0.10, N = 3SE +/- 0.14, N = 3SE +/- 0.12, N = 39.598.458.69MIN: 8.1 / MAX: 72.56MIN: 8.09 / MAX: 10.09MIN: 8.29 / MAX: 26.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

WebP Image Encode

Encode Settings: Quality 100, Lossless, Highest Compression

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest CompressionDefault KernelLinux 5.10.4Linux 5.11-rc11122334455SE +/- 0.27, N = 3SE +/- 0.02, N = 3SE +/- 0.15, N = 350.8944.8545.161. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16

NCNN

Target: Vulkan GPU - Model: shufflenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: shufflenet-v2Default KernelLinux 5.10.4Linux 5.11-rc13691215SE +/- 0.30, N = 3SE +/- 0.09, N = 3SE +/- 0.10, N = 311.009.7110.04MIN: 9.52 / MAX: 47.8MIN: 9.51 / MAX: 10.13MIN: 9.81 / MAX: 10.21. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

TensorFlow Lite

Model: Inception ResNet V2

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Default KernelLinux 5.10.4Linux 5.11-rc1800K1600K2400K3200K4000KSE +/- 1161.41, N = 3SE +/- 713.33, N = 3SE +/- 2970.22, N = 3329980731748733580783

TensorFlow Lite

Model: Inception V4

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Default KernelLinux 5.10.4Linux 5.11-rc1800K1600K2400K3200K4000KSE +/- 2124.36, N = 3SE +/- 2619.34, N = 3SE +/- 912.82, N = 3364970035124303947703

NCNN

Target: Vulkan GPU - Model: regnety_400m

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: regnety_400mDefault KernelLinux 5.10.4Linux 5.11-rc1816243240SE +/- 0.30, N = 3SE +/- 0.25, N = 3SE +/- 0.32, N = 332.8629.4929.35MIN: 30.37 / MAX: 71.09MIN: 28.88 / MAX: 31.63MIN: 28.95 / MAX: 100.311. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Cryptsetup

Twofish-XTS 256b Decryption

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 256b DecryptionDefault KernelLinux 5.10.4Linux 5.11-rc180160240320400SE +/- 1.40, N = 3SE +/- 1.64, N = 3SE +/- 0.24, N = 3331.7367.1369.8

Cryptsetup

Serpent-XTS 256b Decryption

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 256b DecryptionDefault KernelLinux 5.10.4Linux 5.11-rc180160240320400SE +/- 2.23, N = 3SE +/- 1.70, N = 3SE +/- 1.32, N = 3320.6354.9357.3

TensorFlow Lite

Model: Mobilenet Quant

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantDefault KernelLinux 5.10.4Linux 5.11-rc140K80K120K160K200KSE +/- 75.51, N = 3SE +/- 30.12, N = 3SE +/- 424.39, N = 3177091170472189637

Cryptsetup

Twofish-XTS 512b Encryption

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 512b EncryptionDefault KernelLinux 5.10.4Linux 5.11-rc180160240320400SE +/- 1.79, N = 3SE +/- 1.00, N = 3SE +/- 0.25, N = 3333.3369.9370.6

oneDNN

Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPUDefault KernelLinux 5.10.4Linux 5.11-rc13691215SE +/- 0.05, N = 3SE +/- 0.12, N = 15SE +/- 0.16, N = 1511.3812.6412.42MIN: 10.79MIN: 11.31MIN: 11.071. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Cryptsetup

Serpent-XTS 512b Decryption

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 512b DecryptionDefault KernelLinux 5.10.4Linux 5.11-rc180160240320400SE +/- 2.22, N = 3SE +/- 0.91, N = 3SE +/- 1.71, N = 3321.6356.7355.3

TensorFlow Lite

Model: Mobilenet Float

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatDefault KernelLinux 5.10.4Linux 5.11-rc140K80K120K160K200KSE +/- 82.73, N = 3SE +/- 89.09, N = 3SE +/- 51.97, N = 3169941163162180798

Cryptsetup

Twofish-XTS 512b Decryption

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 512b DecryptionDefault KernelLinux 5.10.4Linux 5.11-rc180160240320400SE +/- 1.69, N = 3SE +/- 0.35, N = 3SE +/- 0.61, N = 3334.4368.2369.3

WebP Image Encode

Encode Settings: Quality 100, Lossless

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, LosslessDefault KernelLinux 5.10.4Linux 5.11-rc1612182430SE +/- 0.26, N = 3SE +/- 0.10, N = 3SE +/- 0.19, N = 324.4622.5022.161. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16

Mobile Neural Network

Model: inception-v3

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v3Default KernelLinux 5.10.4Linux 5.11-rc120406080100SE +/- 0.46, N = 3SE +/- 0.35, N = 3SE +/- 0.07, N = 377.1469.8769.90MIN: 69.93 / MAX: 103.83MIN: 68.99 / MAX: 81.83MIN: 69.61 / MAX: 94.451. (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

WebP Image Encode

Encode Settings: Quality 100

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100Default KernelLinux 5.10.4Linux 5.11-rc10.6371.2741.9112.5483.185SE +/- 0.034, N = 3SE +/- 0.009, N = 3SE +/- 0.006, N = 32.8312.5752.5681. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16

Cryptsetup

Serpent-XTS 512b Encryption

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 512b EncryptionDefault KernelLinux 5.10.4Linux 5.11-rc180160240320400SE +/- 2.94, N = 3SE +/- 1.57, N = 3SE +/- 2.00, N = 2326.1359.3358.0

PyPerformance

Benchmark: pathlib

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibDefault KernelLinux 5.10.4Linux 5.11-rc1612182430SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 325.022.822.7

GIMP

Test: resize

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: resizeDefault KernelLinux 5.10.4Linux 5.11-rc13691215SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 310.7511.8311.83

Timed Eigen Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Eigen Compilation 3.3.9Time To CompileDefault KernelLinux 5.10.4Linux 5.11-rc1306090120150SE +/- 0.40, N = 3SE +/- 0.03, N = 3SE +/- 0.13, N = 3117.96109.47107.16

Cryptsetup

Twofish-XTS 256b Encryption

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 256b EncryptionDefault KernelLinux 5.10.4Linux 5.11-rc180160240320400SE +/- 1.62, N = 3SE +/- 5.33, N = 3SE +/- 4.26, N = 3333.2364.8366.2

Cryptsetup

AES-XTS 512b Encryption

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 512b EncryptionDefault KernelLinux 5.10.4Linux 5.11-rc130060090012001500SE +/- 11.60, N = 3SE +/- 3.09, N = 3SE +/- 0.68, N = 31356.01485.41488.7

Cryptsetup

PBKDF2-whirlpool

OpenBenchmarking.orgIterations Per Second, More Is BetterCryptsetupPBKDF2-whirlpoolDefault KernelLinux 5.10.4Linux 5.11-rc1130K260K390K520K650KSE +/- 1020.69, N = 3SE +/- 1406.03, N = 3SE +/- 613.12, N = 3550533603098603787

Cryptsetup

Serpent-XTS 256b Encryption

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 256b EncryptionDefault KernelLinux 5.10.4Linux 5.11-rc180160240320400SE +/- 1.68, N = 3SE +/- 2.62, N = 3SE +/- 4.86, N = 3325.1356.4356.5

Redis

Test: SET

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SETDefault KernelLinux 5.10.4Linux 5.11-rc1300K600K900K1200K1500KSE +/- 16871.12, N = 4SE +/- 8535.72, N = 15SE +/- 2028.99, N = 31363650.751243969.701297244.291. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

Cryptsetup

AES-XTS 256b Decryption

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 256b DecryptionDefault KernelLinux 5.10.4Linux 5.11-rc1400800120016002000SE +/- 7.30, N = 3SE +/- 1.07, N = 3SE +/- 1.79, N = 31531.11668.21678.3

Cryptsetup

AES-XTS 512b Decryption

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 512b DecryptionDefault KernelLinux 5.10.4Linux 5.11-rc130060090012001500SE +/- 9.75, N = 3SE +/- 2.77, N = 3SE +/- 3.76, N = 31359.71488.71485.4

RNNoise

OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28Default KernelLinux 5.10.4Linux 5.11-rc1612182430SE +/- 0.17, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 324.1822.1122.091. (CC) gcc options: -O2 -pedantic -fvisibility=hidden

Mobile Neural Network

Model: SqueezeNetV1.0

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: SqueezeNetV1.0Default KernelLinux 5.10.4Linux 5.11-rc13691215SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 312.6911.6611.60MIN: 11.22 / MAX: 25.7MIN: 11.43 / MAX: 23.12MIN: 11.41 / MAX: 23.491. (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

Opus Codec Encoding

WAV To Opus Encode

OpenBenchmarking.orgSeconds, Fewer Is BetterOpus Codec Encoding 1.3.1WAV To Opus EncodeDefault KernelLinux 5.10.4Linux 5.11-rc13691215SE +/- 0.037, N = 5SE +/- 0.015, N = 5SE +/- 0.063, N = 129.5428.7218.8271. (CXX) g++ options: -fvisibility=hidden -logg -lm

PyPerformance

Benchmark: json_loads

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loadsDefault KernelLinux 5.10.4Linux 5.11-rc1918273645SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 337.434.334.2

Cryptsetup

AES-XTS 256b Encryption

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 256b EncryptionDefault KernelLinux 5.10.4Linux 5.11-rc1400800120016002000SE +/- 2.80, N = 3SE +/- 12.75, N = 3SE +/- 9.69, N = 31521.61658.91663.4

BYTE Unix Benchmark

Computational Test: Dhrystone 2

OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 2Default KernelLinux 5.10.4Linux 5.11-rc18M16M24M32M40MSE +/- 91702.31, N = 3SE +/- 207274.15, N = 3SE +/- 77245.63, N = 333310090.435909522.336408424.2

LAME MP3 Encoding

WAV To MP3

OpenBenchmarking.orgSeconds, Fewer Is BetterLAME MP3 Encoding 3.100WAV To MP3Default KernelLinux 5.10.4Linux 5.11-rc13691215SE +/- 0.054, N = 3SE +/- 0.005, N = 3SE +/- 0.014, N = 310.3709.4909.4961. (CC) gcc options: -O3 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr -pipe -lm

LZ4 Compression

Compression Level: 9 - Compression Speed

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Compression SpeedDefault KernelLinux 5.10.4Linux 5.11-rc1918273645SE +/- 0.41, N = 3SE +/- 0.02, N = 3SE +/- 0.08, N = 336.0339.1939.361. (CC) gcc options: -O3

WavPack Audio Encoding

WAV To WavPack

OpenBenchmarking.orgSeconds, Fewer Is BetterWavPack Audio Encoding 5.3WAV To WavPackDefault KernelLinux 5.10.4Linux 5.11-rc148121620SE +/- 0.10, N = 5SE +/- 0.01, N = 5SE +/- 0.01, N = 516.2114.8714.851. (CXX) g++ options: -rdynamic

GLmark2

Resolution: 1280 x 1024

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 1280 x 1024Default KernelLinux 5.10.4Linux 5.11-rc114002800420056007000603865426587

Polyhedron Fortran Benchmarks

Benchmark: mdbx

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: mdbxDefault KernelLinux 5.10.4Linux 5.11-rc11.3232.6463.9695.2926.6155.885.425.39

TNN

Target: CPU - Model: SqueezeNet v1.1

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1Default KernelLinux 5.10.4Linux 5.11-rc170140210280350SE +/- 1.02, N = 3SE +/- 0.18, N = 3SE +/- 0.09, N = 3308.50282.84282.82MIN: 297.18 / MAX: 319.3MIN: 281.31 / MAX: 287.35MIN: 281.29 / MAX: 287.161. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

Polyhedron Fortran Benchmarks

Benchmark: ac

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: acDefault KernelLinux 5.10.4Linux 5.11-rc12468107.747.107.10

Polyhedron Fortran Benchmarks

Benchmark: fatigue2

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: fatigue2Default KernelLinux 5.10.4Linux 5.11-rc1142842567063.3258.1558.15

PyPerformance

Benchmark: chaos

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: chaosDefault KernelLinux 5.10.4Linux 5.11-rc14080120160200SE +/- 0.67, N = 3SE +/- 0.33, N = 3160151147

PHPBench

PHP Benchmark Suite

OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark SuiteDefault KernelLinux 5.10.4Linux 5.11-rc1110K220K330K440K550KSE +/- 1118.13, N = 3SE +/- 700.71, N = 3SE +/- 1896.86, N = 3475137517024513740

Mobile Neural Network

Model: MobileNetV2_224

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: MobileNetV2_224Default KernelLinux 5.10.4Linux 5.11-rc1246810SE +/- 0.024, N = 3SE +/- 0.054, N = 3SE +/- 0.017, N = 36.9656.4026.429MIN: 6.27 / MAX: 22.38MIN: 6.26 / MAX: 15.65MIN: 6.35 / MAX: 8.721. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Monkey Audio Encoding

WAV To APE

OpenBenchmarking.orgSeconds, Fewer Is BetterMonkey Audio Encoding 3.99.6WAV To APEDefault KernelLinux 5.10.4Linux 5.11-rc148121620SE +/- 0.07, N = 5SE +/- 0.04, N = 5SE +/- 0.02, N = 517.2115.8415.821. (CXX) g++ options: -O3 -pedantic -rdynamic -lrt

Polyhedron Fortran Benchmarks

Benchmark: induct2

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: induct2Default KernelLinux 5.10.4Linux 5.11-rc161218243025.1623.1523.13

oneDNN

Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPUDefault KernelLinux 5.10.4Linux 5.11-rc10.6621.3241.9862.6483.31SE +/- 0.01399, N = 3SE +/- 0.02712, N = 3SE +/- 0.03607, N = 32.942032.878652.70498MIN: 2.51MIN: 2.53MIN: 2.431. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Polyhedron Fortran Benchmarks

Benchmark: protein

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: proteinDefault KernelLinux 5.10.4Linux 5.11-rc14812162017.0215.6515.65

Polyhedron Fortran Benchmarks

Benchmark: doduc

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: doducDefault KernelLinux 5.10.4Linux 5.11-rc136912159.348.618.59

WebP Image Encode

Encode Settings: Default

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: DefaultDefault KernelLinux 5.10.4Linux 5.11-rc10.39920.79841.19761.59681.996SE +/- 0.008, N = 3SE +/- 0.011, N = 3SE +/- 0.001, N = 31.7741.6391.6321. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16

Polyhedron Fortran Benchmarks

Benchmark: mp_prop_design

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: mp_prop_designDefault KernelLinux 5.10.4Linux 5.11-rc12040608010074.8768.8868.93

PyPerformance

Benchmark: raytrace

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytraceDefault KernelLinux 5.10.4Linux 5.11-rc1150300450600750SE +/- 1.20, N = 3SE +/- 1.73, N = 3714661657

PyPerformance

Benchmark: float

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: floatDefault KernelLinux 5.10.4Linux 5.11-rc14080120160200164151151

Polyhedron Fortran Benchmarks

Benchmark: air

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: airDefault KernelLinux 5.10.4Linux 5.11-rc10.40050.8011.20151.6022.00251.781.661.64

PyPerformance

Benchmark: crypto_pyaes

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesDefault KernelLinux 5.10.4Linux 5.11-rc1306090120150SE +/- 0.33, N = 3154143142

PyPerformance

Benchmark: regex_compile

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileDefault KernelLinux 5.10.4Linux 5.11-rc150100150200250SE +/- 0.33, N = 3233215215

LZ4 Compression

Compression Level: 3 - Compression Speed

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Compression SpeedDefault KernelLinux 5.10.4Linux 5.11-rc1918273645SE +/- 0.26, N = 3SE +/- 0.15, N = 3SE +/- 0.01, N = 336.9440.0140.031. (CC) gcc options: -O3

Polyhedron Fortran Benchmarks

Benchmark: test_fpu2

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: test_fpu2Default KernelLinux 5.10.4Linux 5.11-rc191827364537.1034.2434.31

simdjson

Throughput Test: Kostya

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: KostyaDefault KernelLinux 5.10.4Linux 5.11-rc10.08780.17560.26340.35120.439SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.360.390.391. (CXX) g++ options: -O3 -pthread

PyPerformance

Benchmark: nbody

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbodyDefault KernelLinux 5.10.4Linux 5.11-rc14080120160200SE +/- 0.67, N = 3SE +/- 0.67, N = 3170159157

SQLite Speedtest

Timed Time - Size 1,000

OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,000Default KernelLinux 5.10.4Linux 5.11-rc120406080100SE +/- 0.66, N = 3SE +/- 0.20, N = 3SE +/- 0.35, N = 383.9377.5278.391. (CC) gcc options: -O2 -ldl -lz -lpthread

FLAC Audio Encoding

WAV To FLAC

OpenBenchmarking.orgSeconds, Fewer Is BetterFLAC Audio Encoding 1.3.2WAV To FLACDefault KernelLinux 5.10.4Linux 5.11-rc13691215SE +/- 0.06, N = 5SE +/- 0.03, N = 5SE +/- 0.08, N = 511.5910.7110.931. (CXX) g++ options: -O2 -fvisibility=hidden -logg -lm

WebP Image Encode

Encode Settings: Quality 100, Highest Compression

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest CompressionDefault KernelLinux 5.10.4Linux 5.11-rc13691215SE +/- 0.033, N = 3SE +/- 0.094, N = 5SE +/- 0.008, N = 39.4788.8728.7561. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUDefault KernelLinux 5.10.4Linux 5.11-rc1510152025SE +/- 0.02, N = 3SE +/- 0.10, N = 3SE +/- 0.13, N = 322.7921.0521.09MIN: 21.5MIN: 20.7MIN: 20.581. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Hierarchical INTegration

Test: FLOAT

OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOATDefault KernelLinux 5.10.4Linux 5.11-rc170M140M210M280M350MSE +/- 1313862.73, N = 3SE +/- 80446.54, N = 3SE +/- 262122.57, N = 3282568835.30305670769.36305438957.421. (CC) gcc options: -O3 -march=native -lm

Polyhedron Fortran Benchmarks

Benchmark: aermod

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: aermodDefault KernelLinux 5.10.4Linux 5.11-rc12468107.587.097.01

NCNN

Target: Vulkan GPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: alexnetDefault KernelLinux 5.10.4Linux 5.11-rc148121620SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 317.0915.8115.86MIN: 15.85 / MAX: 45.86MIN: 15.64 / MAX: 24.91MIN: 15.71 / MAX: 16.751. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Cryptsetup

PBKDF2-sha512

OpenBenchmarking.orgIterations Per Second, More Is BetterCryptsetupPBKDF2-sha512Default KernelLinux 5.10.4Linux 5.11-rc1300K600K900K1200K1500KSE +/- 12175.94, N = 3SE +/- 2865.42, N = 3SE +/- 1659.14, N = 3130011514037271404973

PyPerformance

Benchmark: pickle_pure_python

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pickle_pure_pythonDefault KernelLinux 5.10.4Linux 5.11-rc1150300450600750SE +/- 0.67, N = 3697651646

Polyhedron Fortran Benchmarks

Benchmark: rnflow

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: rnflowDefault KernelLinux 5.10.4Linux 5.11-rc14812162016.7715.6515.55

Redis

Test: SADD

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SADDDefault KernelLinux 5.10.4Linux 5.11-rc1300K600K900K1200K1500KSE +/- 21666.11, N = 3SE +/- 19698.88, N = 3SE +/- 11716.13, N = 31540737.671429878.041465965.541. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

PyPerformance

Benchmark: go

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: goDefault KernelLinux 5.10.4Linux 5.11-rc180160240320400SE +/- 0.33, N = 3353336328

Basis Universal

Settings: UASTC Level 0

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 0Default KernelLinux 5.10.4Linux 5.11-rc13691215SE +/- 0.048, N = 3SE +/- 0.010, N = 3SE +/- 0.040, N = 310.4519.8609.7171. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

NCNN

Target: CPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: alexnetDefault KernelLinux 5.10.4Linux 5.11-rc148121620SE +/- 0.10, N = 3SE +/- 0.01, N = 15SE +/- 0.03, N = 316.9615.7815.87MIN: 15.86 / MAX: 33.88MIN: 15.63 / MAX: 27.03MIN: 15.7 / MAX: 18.041. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Darktable

Test: Server Rack - Acceleration: CPU-only

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Server Rack - Acceleration: CPU-onlyDefault KernelLinux 5.10.4Linux 5.11-rc10.05270.10540.15810.21080.2635SE +/- 0.002, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 30.2180.2330.234

GLmark2

Resolution: 1920 x 1080

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 1920 x 1080Default KernelLinux 5.10.4Linux 5.11-rc110002000300040005000443247224755

PyPerformance

Benchmark: django_template

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_templateDefault KernelLinux 5.10.4Linux 5.11-rc120406080100SE +/- 0.35, N = 3SE +/- 0.09, N = 3SE +/- 0.07, N = 380.975.975.5

Mobile Neural Network

Model: resnet-v2-50

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50Default KernelLinux 5.10.4Linux 5.11-rc11632486480SE +/- 0.91, N = 3SE +/- 0.30, N = 3SE +/- 0.14, N = 371.6667.1866.98MIN: 63.38 / MAX: 108.99MIN: 66.68 / MAX: 78.44MIN: 66.5 / MAX: 78.241. (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

Numpy Benchmark

OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkDefault KernelLinux 5.10.4Linux 5.11-rc160120180240300SE +/- 2.11, N = 3SE +/- 0.10, N = 3SE +/- 0.21, N = 3246.26262.15262.75

FFTE

N=256, 3D Complex FFT Routine

OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineDefault KernelLinux 5.10.4Linux 5.11-rc17K14K21K28K35KSE +/- 35.57, N = 3SE +/- 40.89, N = 3SE +/- 1.43, N = 329782.8831684.7431043.731. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

oneDNN

Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPUDefault KernelLinux 5.10.4Linux 5.11-rc110002000300040005000SE +/- 2.03, N = 3SE +/- 5.53, N = 3SE +/- 9.99, N = 34749.064488.104470.71MIN: 4699.81MIN: 4464.06MIN: 4441.331. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

TensorFlow Lite

Model: SqueezeNet

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetDefault KernelLinux 5.10.4Linux 5.11-rc160K120K180K240K300KSE +/- 272.99, N = 3SE +/- 290.99, N = 3SE +/- 354.62, N = 3251499244504259645

libavif avifenc

Encoder Speed: 8

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 8Default KernelLinux 5.10.4Linux 5.11-rc1246810SE +/- 0.031, N = 3SE +/- 0.018, N = 3SE +/- 0.006, N = 37.0486.7006.6391. (CXX) g++ options: -O3 -fPIC

TNN

Target: CPU - Model: MobileNet v2

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2Default KernelLinux 5.10.4Linux 5.11-rc170140210280350SE +/- 0.50, N = 3SE +/- 0.20, N = 3SE +/- 0.45, N = 3324.27305.64310.42MIN: 310.87 / MAX: 349.12MIN: 291.26 / MAX: 314.5MIN: 290.92 / MAX: 337.971. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

simdjson

Throughput Test: LargeRandom

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: LargeRandomDefault KernelLinux 5.10.4Linux 5.11-rc10.07880.15760.23640.31520.394SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.330.350.351. (CXX) g++ options: -O3 -pthread

oneDNN

Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUDefault KernelLinux 5.10.4Linux 5.11-rc110002000300040005000SE +/- 8.86, N = 3SE +/- 5.62, N = 3SE +/- 13.33, N = 34737.794482.274468.08MIN: 4680.34MIN: 4460.82MIN: 4427.821. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Node.js V8 Web Tooling Benchmark

OpenBenchmarking.orgruns/s, More Is BetterNode.js V8 Web Tooling BenchmarkDefault KernelLinux 5.10.4Linux 5.11-rc1246810SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 37.247.677.621. Nodejs v12.18.2

Basis Universal

Settings: ETC1S

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: ETC1SDefault KernelLinux 5.10.4Linux 5.11-rc11428425670SE +/- 0.35, N = 3SE +/- 0.24, N = 3SE +/- 0.22, N = 364.5661.0060.951. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

GIMP

Test: auto-levels

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: auto-levelsDefault KernelLinux 5.10.4Linux 5.11-rc148121620SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.12, N = 316.0316.9016.98

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUDefault KernelLinux 5.10.4Linux 5.11-rc12K4K6K8K10KSE +/- 9.60, N = 3SE +/- 14.45, N = 3SE +/- 17.59, N = 39027.638564.548540.48MIN: 8975.45MIN: 8529.89MIN: 8490.771. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUDefault KernelLinux 5.10.4Linux 5.11-rc110002000300040005000SE +/- 20.61, N = 3SE +/- 7.62, N = 3SE +/- 8.44, N = 34742.114497.064486.34MIN: 4659.09MIN: 4465.18MIN: 4457.531. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

LZ4 Compression

Compression Level: 1 - Decompression Speed

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Decompression SpeedDefault KernelLinux 5.10.4Linux 5.11-rc12K4K6K8K10KSE +/- 55.92, N = 3SE +/- 9.29, N = 3SE +/- 40.00, N = 38129.28560.18592.31. (CC) gcc options: -O3

oneDNN

Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPUDefault KernelLinux 5.10.4Linux 5.11-rc12K4K6K8K10KSE +/- 23.24, N = 3SE +/- 15.87, N = 3SE +/- 17.36, N = 39028.508575.958545.33MIN: 8965.57MIN: 8526.04MIN: 8489.411. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Darktable

Test: Masskrug - Acceleration: CPU-only

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Masskrug - Acceleration: CPU-onlyDefault KernelLinux 5.10.4Linux 5.11-rc1246810SE +/- 0.017, N = 3SE +/- 0.004, N = 3SE +/- 0.006, N = 36.7456.3926.397

Darktable

Test: Server Room - Acceleration: CPU-only

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Server Room - Acceleration: CPU-onlyDefault KernelLinux 5.10.4Linux 5.11-rc11.17232.34463.51694.68925.8615SE +/- 0.017, N = 3SE +/- 0.006, N = 3SE +/- 0.006, N = 35.2104.9404.959

libavif avifenc

Encoder Speed: 10

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 10Default KernelLinux 5.10.4Linux 5.11-rc1246810SE +/- 0.026, N = 3SE +/- 0.017, N = 3SE +/- 0.005, N = 36.6226.3126.2841. (CXX) g++ options: -O3 -fPIC

libavif avifenc

Encoder Speed: 0

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 0Default KernelLinux 5.10.4Linux 5.11-rc1306090120150SE +/- 1.72, N = 3SE +/- 0.38, N = 3SE +/- 0.15, N = 3131.14126.03124.541. (CXX) g++ options: -O3 -fPIC

Mobile Neural Network

Model: mobilenet-v1-1.0

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: mobilenet-v1-1.0Default KernelLinux 5.10.4Linux 5.11-rc148121620SE +/- 0.14, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 313.6212.9612.94MIN: 12.87 / MAX: 26.35MIN: 12.85 / MAX: 22.3MIN: 12.76 / MAX: 24.471. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

LZ4 Compression

Compression Level: 1 - Compression Speed

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Compression SpeedDefault KernelLinux 5.10.4Linux 5.11-rc116003200480064008000SE +/- 73.87, N = 3SE +/- 92.18, N = 3SE +/- 46.06, N = 37192.297525.637572.231. (CC) gcc options: -O3

ASTC Encoder

Preset: Fast

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: FastDefault KernelLinux 5.10.4Linux 5.11-rc1246810SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.06, N = 87.727.357.421. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

PyPerformance

Benchmark: 2to3

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: 2to3Default KernelLinux 5.10.4Linux 5.11-rc1100200300400500SE +/- 0.33, N = 3SE +/- 0.67, N = 3461444439

oneDNN

Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPUDefault KernelLinux 5.10.4Linux 5.11-rc12K4K6K8K10KSE +/- 4.57, N = 3SE +/- 9.21, N = 3SE +/- 10.93, N = 39002.538588.648583.12MIN: 8960.78MIN: 8557.28MIN: 8546.551. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPUDefault KernelLinux 5.10.4Linux 5.11-rc13691215SE +/- 0.06535, N = 3SE +/- 0.12964, N = 3SE +/- 0.04049, N = 39.349279.804609.49354MIN: 8.51MIN: 9.16MIN: 91. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

eSpeak-NG Speech Engine

Text-To-Speech Synthesis

OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech SynthesisDefault KernelLinux 5.10.4Linux 5.11-rc1918273645SE +/- 0.24, N = 16SE +/- 0.54, N = 20SE +/- 0.38, N = 438.9140.2738.421. (CC) gcc options: -O2 -std=c99

Timed MAFFT Alignment

Multiple Sequence Alignment - LSU RNA

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNADefault KernelLinux 5.10.4Linux 5.11-rc148121620SE +/- 0.06, N = 3SE +/- 0.10, N = 3SE +/- 0.20, N = 314.5614.6015.251. (CC) gcc options: -std=c99 -O3 -lm -lpthread

Polyhedron Fortran Benchmarks

Benchmark: gas_dyn2

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: gas_dyn2Default KernelLinux 5.10.4Linux 5.11-rc1142842567061.7359.1559.08

Stockfish

Total Time

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 12Total TimeDefault KernelLinux 5.10.4Linux 5.11-rc13M6M9M12M15MSE +/- 170465.83, N = 3SE +/- 168497.64, N = 3SE +/- 38144.94, N = 31336145713559816138977591. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++17 -pedantic -O3 -msse -msse3 -mpopcnt -msse4.1 -mssse3 -msse2 -flto -flto=jobserver

VKMark

Resolution: 1280 x 1024

OpenBenchmarking.orgVKMark Score, More Is BetterVKMark 2020-05-21Resolution: 1280 x 1024Default KernelLinux 5.10.4Linux 5.11-rc114002800420056007000SE +/- 3.28, N = 3SE +/- 13.48, N = 3SE +/- 8.41, N = 36184635064261. (CXX) g++ options: -pthread -ldl -pipe -std=c++14 -MD -MQ -MF

librsvg

Operation: SVG Files To PNG

OpenBenchmarking.orgSeconds, Fewer Is BetterlibrsvgOperation: SVG Files To PNGDefault KernelLinux 5.10.4Linux 5.11-rc1816243240SE +/- 0.15, N = 3SE +/- 0.31, N = 3SE +/- 0.03, N = 334.3235.6535.001. rsvg-convert version 2.50.1

Unpacking The Linux Kernel

linux-4.15.tar.xz

OpenBenchmarking.orgSeconds, Fewer Is BetterUnpacking The Linux Kernellinux-4.15.tar.xzDefault KernelLinux 5.10.4Linux 5.11-rc1246810SE +/- 0.047, N = 4SE +/- 0.040, N = 20SE +/- 0.037, N = 47.4037.1317.160

yquake2

Renderer: Software CPU - Resolution: 1920 x 1080

OpenBenchmarking.orgFrames Per Second, More Is Betteryquake2 7.45Renderer: Software CPU - Resolution: 1920 x 1080Default KernelLinux 5.10.4Linux 5.11-rc120406080100SE +/- 0.52, N = 3SE +/- 0.27, N = 3SE +/- 0.29, N = 385.488.288.61. (CC) gcc options: -lm -ldl -rdynamic -shared -lSDL2 -O2 -pipe -fomit-frame-pointer -std=gnu99 -fno-strict-aliasing -fwrapv -fvisibility=hidden -MMD -mfpmath=sse -fPIC

Appleseed

Scene: Disney Material

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Disney MaterialDefault KernelLinux 5.10.4Linux 5.11-rc170140210280350322.77316.76311.49

VKMark

Resolution: 1920 x 1080

OpenBenchmarking.orgVKMark Score, More Is BetterVKMark 2020-05-21Resolution: 1920 x 1080Default KernelLinux 5.10.4Linux 5.11-rc110002000300040005000SE +/- 4.93, N = 3SE +/- 3.71, N = 3SE +/- 3.61, N = 34664473248271. (CXX) g++ options: -pthread -ldl -pipe -std=c++14 -MD -MQ -MF

AI Benchmark Alpha

Device Training Score

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Training ScoreDefault KernelLinux 5.10.4Linux 5.11-rc1150300450600750667689685

XZ Compression

Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9

OpenBenchmarking.orgSeconds, Fewer Is BetterXZ Compression 5.2.4Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9Default KernelLinux 5.10.4Linux 5.11-rc11122334455SE +/- 0.30, N = 3SE +/- 0.08, N = 3SE +/- 0.12, N = 347.5746.2146.091. (CC) gcc options: -pthread -fvisibility=hidden -O2

Darktable

Test: Boat - Acceleration: CPU-only

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Boat - Acceleration: CPU-onlyDefault KernelLinux 5.10.4Linux 5.11-rc148121620SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 313.7513.3213.34

VkFFT

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 1.1.1Default KernelLinux 5.10.4Linux 5.11-rc12K4K6K8K10KSE +/- 23.03, N = 3SE +/- 67.59, N = 3SE +/- 46.59, N = 310274997299671. (CXX) g++ options: -O3 -pthread

Sunflow Rendering System

Global Illumination + Image Synthesis

OpenBenchmarking.orgSeconds, Fewer Is BetterSunflow Rendering System 0.07.2Global Illumination + Image SynthesisDefault KernelLinux 5.10.4Linux 5.11-rc10.3560.7121.0681.4241.78SE +/- 0.014, N = 8SE +/- 0.013, N = 3SE +/- 0.022, N = 31.5811.5371.582MIN: 1.38 / MAX: 2.33MIN: 1.4 / MAX: 2.36MIN: 1.4 / MAX: 2.3

GROMACS

Water Benchmark

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkDefault KernelLinux 5.10.4Linux 5.11-rc10.12130.24260.36390.48520.6065SE +/- 0.005, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 30.5240.5390.5351. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm

Unpacking Firefox

Extracting: firefox-84.0.source.tar.xz

OpenBenchmarking.orgSeconds, Fewer Is BetterUnpacking Firefox 84.0Extracting: firefox-84.0.source.tar.xzDefault KernelLinux 5.10.4Linux 5.11-rc1612182430SE +/- 0.22, N = 8SE +/- 0.14, N = 20SE +/- 0.16, N = 2026.4725.7425.99

asmFish

1024 Hash Memory, 26 Depth

OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 DepthDefault KernelLinux 5.10.4Linux 5.11-rc14M8M12M16M20MSE +/- 237774.54, N = 3SE +/- 76230.74, N = 3SE +/- 97740.42, N = 3193068331984074319661267

WireGuard + Linux Networking Stack Stress Test

OpenBenchmarking.orgSeconds, Fewer Is BetterWireGuard + Linux Networking Stack Stress TestDefault KernelLinux 5.10.4Linux 5.11-rc170140210280350SE +/- 1.15, N = 3SE +/- 3.52, N = 3SE +/- 0.88, N = 3300.19308.47308.38

libavif avifenc

Encoder Speed: 2

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 2Default KernelLinux 5.10.4Linux 5.11-rc120406080100SE +/- 0.08, N = 3SE +/- 0.50, N = 3SE +/- 0.18, N = 376.6574.6675.061. (CXX) g++ options: -O3 -fPIC

yquake2

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

OpenBenchmarking.orgFrames Per Second, More Is Betteryquake2 7.45Renderer: OpenGL 1.x - Resolution: 1920 x 1080Default KernelLinux 5.10.4Linux 5.11-rc1140280420560700SE +/- 3.40, N = 3SE +/- 8.16, N = 3SE +/- 7.06, N = 3631.8641.4625.31. (CC) gcc options: -lm -ldl -rdynamic -shared -lSDL2 -O2 -pipe -fomit-frame-pointer -std=gnu99 -fno-strict-aliasing -fwrapv -fvisibility=hidden -MMD -mfpmath=sse -fPIC

oneDNN

Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPUDefault KernelLinux 5.10.4Linux 5.11-rc1246810SE +/- 0.00187, N = 3SE +/- 0.03024, N = 3SE +/- 0.04602, N = 37.031976.859756.92207MIN: 6.48MIN: 6.65MIN: 6.71. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian DragonDefault KernelLinux 5.10.4Linux 5.11-rc1246810SE +/- 0.0448, N = 3SE +/- 0.0788, N = 3SE +/- 0.0259, N = 37.97598.17398.1022MIN: 7.86 / MAX: 8.15MIN: 8.02 / MAX: 8.44MIN: 8.03 / MAX: 8.26

oneDNN

Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPUDefault KernelLinux 5.10.4Linux 5.11-rc148121620SE +/- 0.00, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 317.0017.3817.41MIN: 16.89MIN: 17.2MIN: 17.331. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

AI Benchmark Alpha

Device AI Score

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device AI ScoreDefault KernelLinux 5.10.4Linux 5.11-rc130060090012001500124812771269

GIMP

Test: unsharp-mask

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: unsharp-maskDefault KernelLinux 5.10.4Linux 5.11-rc1510152025SE +/- 0.01, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 319.0219.1919.45

Timed FFmpeg Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To CompileDefault KernelLinux 5.10.4Linux 5.11-rc120406080100SE +/- 0.07, N = 3SE +/- 0.12, N = 3SE +/- 0.17, N = 385.7183.8183.88

Polyhedron Fortran Benchmarks

Benchmark: channel2

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: channel2Default KernelLinux 5.10.4Linux 5.11-rc1132639526559.5158.2158.21

Zstd Compression

Compression Level: 19

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19Default KernelLinux 5.10.4Linux 5.11-rc1612182430SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 322.522.923.01. (CC) gcc options: -O3 -pthread -lz

Blender

Blend File: BMW27 - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: BMW27 - Compute: CPU-OnlyDefault KernelLinux 5.10.4Linux 5.11-rc150100150200250SE +/- 2.78, N = 4SE +/- 0.81, N = 3SE +/- 1.16, N = 3237.53232.46236.57

Basis Universal

Settings: UASTC Level 2

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 2Default KernelLinux 5.10.4Linux 5.11-rc11020304050SE +/- 0.11, N = 3SE +/- 0.01, N = 3SE +/- 0.14, N = 343.9843.0943.281. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

RawTherapee

Total Benchmark Time

OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark TimeDefault KernelLinux 5.10.4Linux 5.11-rc120406080100SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.08, N = 378.6577.0878.291. RawTherapee, version 5.8, command line.

GIMP

Test: rotate

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: rotateDefault KernelLinux 5.10.4Linux 5.11-rc148121620SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 315.4115.2815.10

rav1e

Speed: 1

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 1Default KernelLinux 5.10.4Linux 5.11-rc10.05870.11740.17610.23480.2935SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 30.2560.2610.259

Polyhedron Fortran Benchmarks

Benchmark: linpk

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: linpkDefault KernelLinux 5.10.4Linux 5.11-rc11.08232.16463.24694.32925.41154.814.734.72

rav1e

Speed: 5

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 5Default KernelLinux 5.10.4Linux 5.11-rc10.17530.35060.52590.70120.8765SE +/- 0.001, N = 3SE +/- 0.005, N = 3SE +/- 0.001, N = 30.7650.7790.774

IndigoBench

Acceleration: CPU - Scene: Bedroom

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: BedroomDefault KernelLinux 5.10.4Linux 5.11-rc10.30580.61160.91741.22321.529SE +/- 0.001, N = 3SE +/- 0.003, N = 3SE +/- 0.001, N = 31.3351.3541.359

yquake2

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

OpenBenchmarking.orgFrames Per Second, More Is Betteryquake2 7.45Renderer: OpenGL 3.x - Resolution: 1920 x 1080Default KernelLinux 5.10.4Linux 5.11-rc12004006008001000SE +/- 7.08, N = 3SE +/- 2.23, N = 3SE +/- 9.60, N = 3944.3960.5947.31. (CC) gcc options: -lm -ldl -rdynamic -shared -lSDL2 -O2 -pipe -fomit-frame-pointer -std=gnu99 -fno-strict-aliasing -fwrapv -fvisibility=hidden -MMD -mfpmath=sse -fPIC

ASTC Encoder

Preset: Thorough

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ThoroughDefault KernelLinux 5.10.4Linux 5.11-rc1918273645SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 336.9536.5837.201. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

Embree

Binary: Pathtracer - Model: Asian Dragon

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian DragonDefault KernelLinux 5.10.4Linux 5.11-rc1246810SE +/- 0.0725, N = 3SE +/- 0.0500, N = 3SE +/- 0.0404, N = 38.39708.51888.3775MIN: 8.23 / MAX: 8.61MIN: 8.4 / MAX: 8.7MIN: 8.3 / MAX: 8.55

ASTC Encoder

Preset: Exhaustive

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ExhaustiveDefault KernelLinux 5.10.4Linux 5.11-rc170140210280350SE +/- 0.08, N = 3SE +/- 0.05, N = 3SE +/- 0.10, N = 3303.53300.62305.641. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

Coremark

CoreMark Size 666 - Iterations Per Second

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondDefault KernelLinux 5.10.4Linux 5.11-rc160K120K180K240K300KSE +/- 1434.22, N = 3SE +/- 872.17, N = 3SE +/- 802.31, N = 3267555.23270279.69271886.251. (CC) gcc options: -O2 -lrt" -lrt

Redis

Test: LPUSH

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: LPUSHDefault KernelLinux 5.10.4Linux 5.11-rc1200K400K600K800K1000KSE +/- 9875.40, N = 15SE +/- 14750.43, N = 3SE +/- 11649.30, N = 31065654.101049901.521053853.021. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

ASTC Encoder

Preset: Medium

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: MediumDefault KernelLinux 5.10.4Linux 5.11-rc1246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 36.116.056.141. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

Basis Universal

Settings: UASTC Level 2 + RDO Post-Processing

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 2 + RDO Post-ProcessingDefault KernelLinux 5.10.4Linux 5.11-rc12004006008001000SE +/- 0.27, N = 3SE +/- 0.82, N = 3SE +/- 1.15, N = 3867.81855.36857.231. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

rav1e

Speed: 10

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 10Default KernelLinux 5.10.4Linux 5.11-rc10.52851.0571.58552.1142.6425SE +/- 0.007, N = 3SE +/- 0.002, N = 3SE +/- 0.019, N = 32.3492.3162.347

IndigoBench

Acceleration: CPU - Scene: Supercar

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: SupercarDefault KernelLinux 5.10.4Linux 5.11-rc10.64511.29021.93532.58043.2255SE +/- 0.004, N = 3SE +/- 0.003, N = 3SE +/- 0.028, N = 32.8282.8672.843

Appleseed

Scene: Material Tester

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Material TesterDefault KernelLinux 5.10.4Linux 5.11-rc160120180240300287.58291.47289.58

Blender

Blend File: Fishy Cat - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Fishy Cat - Compute: CPU-OnlyDefault KernelLinux 5.10.4Linux 5.11-rc170140210280350SE +/- 0.28, N = 3SE +/- 0.38, N = 3SE +/- 0.76, N = 3329.39325.24326.50

Timed Linux Kernel Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To CompileDefault KernelLinux 5.10.4Linux 5.11-rc1306090120150SE +/- 0.91, N = 3SE +/- 0.92, N = 3SE +/- 0.86, N = 3131.32129.83129.68

Timed LLVM Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 10.0Time To CompileDefault KernelLinux 5.10.4Linux 5.11-rc12004006008001000SE +/- 0.68, N = 3SE +/- 0.83, N = 3SE +/- 3.21, N = 31057.631044.461050.45

Embree

Binary: Pathtracer - Model: Crown

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: CrownDefault KernelLinux 5.10.4Linux 5.11-rc1246810SE +/- 0.0587, N = 3SE +/- 0.0471, N = 3SE +/- 0.0326, N = 37.33127.34977.4224MIN: 7.18 / MAX: 7.52MIN: 7.23 / MAX: 7.53MIN: 7.34 / MAX: 7.57

AI Benchmark Alpha

Device Inference Score

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Inference ScoreDefault KernelLinux 5.10.4Linux 5.11-rc1130260390520650581588584

LZ4 Compression

Compression Level: 9 - Decompression Speed

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Decompression SpeedDefault KernelLinux 5.10.4Linux 5.11-rc12K4K6K8K10KSE +/- 8.31, N = 3SE +/- 8.68, N = 3SE +/- 13.60, N = 37828.57895.57920.91. (CC) gcc options: -O3

Zstd Compression

Compression Level: 3

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 3Default KernelLinux 5.10.4Linux 5.11-rc16001200180024003000SE +/- 14.17, N = 3SE +/- 7.47, N = 3SE +/- 6.18, N = 32849.02838.62872.01. (CC) gcc options: -O3 -pthread -lz

Embree

Binary: Pathtracer ISPC - Model: Crown

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: CrownDefault KernelLinux 5.10.4Linux 5.11-rc1246810SE +/- 0.0323, N = 3SE +/- 0.0390, N = 3SE +/- 0.0114, N = 36.76896.79346.8458MIN: 6.67 / MAX: 6.9MIN: 6.68 / MAX: 6.95MIN: 6.79 / MAX: 6.96

Basis Universal

Settings: UASTC Level 3

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 3Default KernelLinux 5.10.4Linux 5.11-rc120406080100SE +/- 0.08, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 382.3981.4881.621. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

Embree

Binary: Pathtracer - Model: Asian Dragon Obj

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian Dragon ObjDefault KernelLinux 5.10.4Linux 5.11-rc1246810SE +/- 0.0127, N = 3SE +/- 0.0234, N = 3SE +/- 0.0090, N = 37.80147.87227.8824MIN: 7.74 / MAX: 7.91MIN: 7.8 / MAX: 7.98MIN: 7.84 / MAX: 7.97

oneDNN

Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPUDefault KernelLinux 5.10.4Linux 5.11-rc13691215SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 313.3413.2413.21MIN: 12.96MIN: 12.87MIN: 12.851. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Appleseed

Scene: Emily

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: EmilyDefault KernelLinux 5.10.4Linux 5.11-rc1120240360480600539.96535.01536.84

LZ4 Compression

Compression Level: 3 - Decompression Speed

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Decompression SpeedDefault KernelLinux 5.10.4Linux 5.11-rc12K4K6K8K10KSE +/- 5.10, N = 3SE +/- 14.26, N = 3SE +/- 16.93, N = 37835.57899.37906.81. (CC) gcc options: -O3

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon Obj

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian Dragon ObjDefault KernelLinux 5.10.4Linux 5.11-rc1246810SE +/- 0.0139, N = 3SE +/- 0.0051, N = 3SE +/- 0.0109, N = 37.20637.27027.2554MIN: 7.15 / MAX: 7.3MIN: 7.24 / MAX: 7.35MIN: 7.21 / MAX: 7.32

Build2

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.13Time To CompileDefault KernelLinux 5.10.4Linux 5.11-rc150100150200250SE +/- 1.02, N = 3SE +/- 1.49, N = 3SE +/- 0.84, N = 3232.99231.01231.54

rav1e

Speed: 6

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 6Default KernelLinux 5.10.4Linux 5.11-rc10.23130.46260.69390.92521.1565SE +/- 0.001, N = 3SE +/- 0.004, N = 3SE +/- 0.003, N = 31.0221.0201.028

Polyhedron Fortran Benchmarks

Benchmark: capacita

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: capacitaDefault KernelLinux 5.10.4Linux 5.11-rc14812162016.1816.2416.20

simdjson

Throughput Test: DistinctUserID

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: DistinctUserIDDefault KernelLinux 5.10.4Linux 5.11-rc10.10350.2070.31050.4140.5175SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.460.460.461. (CXX) g++ options: -O3 -pthread

simdjson

Throughput Test: PartialTweets

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: PartialTweetsDefault KernelLinux 5.10.4Linux 5.11-rc10.10130.20260.30390.40520.5065SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.450.450.451. (CXX) g++ options: -O3 -pthread

NCNN

Target: Vulkan GPU - Model: yolov4-tiny

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: yolov4-tinyDefault KernelLinux 5.10.4Linux 5.11-rc11122334455SE +/- 0.25, N = 3SE +/- 0.51, N = 3SE +/- 1.73, N = 350.0642.4641.05MIN: 40.36 / MAX: 77.16MIN: 36.31 / MAX: 45.38MIN: 36.21 / MAX: 43.531. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: resnet18

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: resnet18Default KernelLinux 5.10.4Linux 5.11-rc1612182430SE +/- 0.42, N = 3SE +/- 0.83, N = 3SE +/- 0.86, N = 326.0520.9219.90MIN: 20.5 / MAX: 71.2MIN: 19.02 / MAX: 53.8MIN: 18.96 / MAX: 22.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: blazefaceDefault KernelLinux 5.10.4Linux 5.11-rc10.81231.62462.43693.24924.0615SE +/- 0.14, N = 3SE +/- 0.03, N = 15SE +/- 0.04, N = 33.613.383.47MIN: 3.17 / MAX: 16.8MIN: 3.16 / MAX: 4.51MIN: 3.37 / MAX: 4.011. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

oneDNN

Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPUDefault KernelLinux 5.10.4Linux 5.11-rc148121620SE +/- 0.41, N = 15SE +/- 0.30, N = 15SE +/- 0.33, N = 1514.7814.3114.45MIN: 12.9MIN: 13MIN: 12.951. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

LAMMPS Molecular Dynamics Simulator

Model: Rhodopsin Protein

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin ProteinDefault KernelLinux 5.10.4Linux 5.11-rc11.07152.1433.21454.2865.3575SE +/- 0.098, N = 15SE +/- 0.014, N = 3SE +/- 0.012, N = 34.3114.7204.7621. (CXX) g++ options: -O3 -pthread -lm


Phoronix Test Suite v10.8.4