2700 march

AMD Ryzen 7 2700 Eight-Core testing with a Gigabyte AB350N-Gaming WIFI-CF (F20 BIOS) and HIS AMD Radeon HD 6450/7450/8450 / R5 230 OEM 1GB on Ubuntu 19.10 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2103315-IB-2700MARCH64
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Timed Code Compilation 3 Tests
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Multi-Core 9 Tests
Programmer / Developer System Benchmarks 4 Tests
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March 30 2021
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March 31 2021
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2700 marchProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen Resolution123AMD Ryzen 7 2700 Eight-Core @ 3.20GHz (8 Cores / 16 Threads)Gigabyte AB350N-Gaming WIFI-CF (F20 BIOS)AMD 17h16GB120GB ADATA SU700HIS AMD Radeon HD 6450/7450/8450 / R5 230 OEM 1GBAMD Caicos HDMI AudioDELL S2409WRealtek RTL8111/8168/8411 + Intel 3165Ubuntu 19.105.9.0-050900rc7daily20201004-generic (x86_64) 20201003GNOME Shell 3.34.1X Server 1.20.53.3 Mesa 19.2.8 (LLVM 9.0.0)GCC 9.2.1 20191008ext41920x1080OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-offload-targets=nvptx-none,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details- Scaling Governor: acpi-cpufreq ondemand (Boost: Enabled) - CPU Microcode: 0x800820b Python Details- Python 2.7.17 + Python 3.7.5Security Details- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected

123Result OverviewPhoronix Test Suite100%100%101%101%102%Xcompact3d Incompact3dStockfishMobile Neural NetworkOpenSCADSysbenchsrsLTETimed Linux Kernel CompilationLuaRadioBasis UniversalSVT-VP9GNU GMP GMPbenchoneDNNSVT-HEVCAOM AV1Timed Erlang/OTP CompilationBotanLiquid-DSPViennaCLsimdjsonTimed Node.js CompilationSystemd Total Boot Time

2700 marchmnn: inception-v3incompact3d: input.i3d 129 Cells Per Directiononednn: Recurrent Neural Network Training - f32 - CPUincompact3d: input.i3d 193 Cells Per Directionmnn: SqueezeNetV1.0openscad: Projector Mount Swivelonednn: IP Shapes 3D - f32 - CPUstockfish: Total Timeaom-av1: Speed 6 Realtime - Bosphorus 1080pmnn: resnet-v2-50aom-av1: Speed 8 Realtime - Bosphorus 4Ksrslte: PHY_DL_Testopenscad: Pistolsysbench: RAM / Memoryluaradio: Hilbert Transformsvt-vp9: Visual Quality Optimized - Bosphorus 1080ponednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUaom-av1: Speed 6 Two-Pass - Bosphorus 4Kopenscad: Mini-ITX Caseopenscad: Retro Carluaradio: FM Deemphasis Filterluaradio: Five Back to Back FIR Filtersbasis: UASTC Level 0onednn: Recurrent Neural Network Inference - u8s8f32 - CPUmnn: mobilenet-v1-1.0viennacl: CPU BLAS - dGEMM-NTviennacl: CPU BLAS - dGEMM-NNsvt-vp9: VMAF Optimized - Bosphorus 1080pviennacl: CPU BLAS - dGEMM-TTviennacl: CPU BLAS - dGEMM-TNbotan: AES-256 - Decryptliquid-dsp: 2 - 256 - 57viennacl: CPU BLAS - dCOPYviennacl: CPU BLAS - sCOPYaom-av1: Speed 4 Two-Pass - Bosphorus 1080pmnn: MobileNetV2_224srslte: OFDM_Testviennacl: CPU BLAS - dDOTsrslte: PHY_DL_Testsvt-hevc: 7 - Bosphorus 1080paom-av1: Speed 4 Two-Pass - Bosphorus 4Konednn: IP Shapes 1D - f32 - CPUbuild-linux-kernel: Time To Compilesimdjson: Kostyaonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUbotan: ChaCha20Poly1305botan: AES-256onednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUviennacl: CPU BLAS - sAXPYviennacl: CPU BLAS - dAXPYaom-av1: Speed 6 Realtime - Bosphorus 4Kluaradio: Complex Phasesysbench: CPUliquid-dsp: 1 - 256 - 57build-nodejs: Time To Compileonednn: Recurrent Neural Network Inference - f32 - CPUliquid-dsp: 16 - 256 - 57onednn: Recurrent Neural Network Training - u8s8f32 - CPUsvt-hevc: 10 - Bosphorus 1080ponednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUbasis: ETC1Sonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUviennacl: CPU BLAS - sDOTgmpbench: Total Timeonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUbotan: ChaCha20Poly1305 - Decryptviennacl: CPU BLAS - dGEMV-Nbuild-erlang: Time To Compileviennacl: CPU BLAS - dGEMV-Tbasis: UASTC Level 2onednn: Deconvolution Batch shapes_1d - f32 - CPUsvt-hevc: 1 - Bosphorus 1080paom-av1: Speed 6 Two-Pass - Bosphorus 1080pliquid-dsp: 4 - 256 - 57onednn: IP Shapes 1D - u8s8f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUopenscad: Leonardo Phone Case Slimliquid-dsp: 8 - 256 - 57botan: Twofish - Decryptsvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080ponednn: IP Shapes 3D - u8s8f32 - CPUbasis: UASTC Level 3botan: CAST-256botan: Blowfish - Decryptbotan: Twofishbotan: CAST-256 - Decryptbotan: Blowfishaom-av1: Speed 9 Realtime - Bosphorus 4Konednn: Convolution Batch Shapes Auto - f32 - CPUbotan: KASUMI - Decryptbotan: KASUMIsystemd-boot-total: Userspacesystemd-boot-total: Firmwaresystemd-boot-total: Loadersystemd-boot-total: Kernelsystemd-boot-total: Totalaom-av1: Speed 0 Two-Pass - Bosphorus 1080paom-av1: Speed 0 Two-Pass - Bosphorus 4Ksimdjson: DistinctUserIDsimdjson: PartialTweetssimdjson: LargeRandaom-av1: Speed 9 Realtime - Bosphorus 1080paom-av1: Speed 8 Realtime - Bosphorus 1080p12354.18544.38709518187.48157.42888910.149170.70613.37641813348615.1745.85824.3282.0150.1937979.4092.177.668211.263.8265.38627.135387.9480.39.2464343.324.91832.733.393.6334.234.75483.84911186333318.418.53.745.3987786666739.0216.072.792.008.40798112.3652.084366.8514.5525484.1925427.38111.163527.627.88.61551.714106.4756320333614.6714355.034381333338186.05149.718.3785731.1944.9803139.14923.124.4047482.84941.4170.80343.240.53410.86155.4611.142091133338.105305.3726525.401378376667352.19498.922.7937677.200141.152431.594352.929141.164431.38530.4023.791687.84491.552232951124052122761260560.220.073.082.840.8764.7554.4855.77044.93214298294.96160.03595210.215169.99413.21091833334415.0746.22524.5881.4151.1858016.5792.878.168166.933.8565.86427.118386.8483.49.2194370.984.88732.733.593.7134.334.55461.95711123666718.518.43.735.4157826666739.2214.972.892.018.42009112.3902.084351.7914.5886482.2505406.60011.174927.527.78.60553.614107.9756235333615.0754340.824377066678197.44150.098.3864631.1344.9674639.04917.224.3446481.66641.4171.20943.240.50210.88225.4611.162094600008.105515.3769125.388378373333351.99299.052.7973677.178141.211431.245353.089141.194431.34830.3923.797787.86491.562232951124052122761260560.220.073.082.840.8764.8454.9054.03344.12092088149.80157.36336810.066172.29313.22851811061514.9945.68524.5982.3151.7358052.0592.078.298147.023.8465.65227.296389.3481.89.1874346.164.90432.533.393.1634.434.55493.61211149666718.418.53.755.3877810000039.2216.073.162.018.37864111.8522.094347.6414.6134484.2265426.07911.132727.527.78.63552.314154.6656134333613.0654341.464390766678172.53149.668.3637831.1134.9728539.04929.824.3779482.57141.3170.80243.140.45010.87735.4711.162093366678.117805.3689725.425377836667352.48999.032.7957077.122141.271431.376353.065141.131431.51730.4023.793287.85791.553232951124052122761260560.220.073.082.840.8762.6755.96OpenBenchmarking.org

Mobile Neural Network

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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.3Model: inception-v31231326395265SE +/- 0.40, N = 3SE +/- 1.06, N = 3SE +/- 0.14, N = 354.1955.7754.03MIN: 53.22 / MAX: 69.33MIN: 53.52 / MAX: 70.99MIN: 53.61 / MAX: 68.41. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.3Model: inception-v31231122334455Min: 53.43 / Avg: 54.18 / Max: 54.79Min: 53.72 / Avg: 55.77 / Max: 57.29Min: 53.81 / Avg: 54.03 / Max: 54.281. (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

Xcompact3d Incompact3d

Xcompact3d Incompact3d is a Fortran-MPI based, finite difference high-performance code for solving the incompressible Navier-Stokes equation and as many as you need scalar transport equations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 129 Cells Per Direction1231020304050SE +/- 0.60, N = 3SE +/- 0.46, N = 3SE +/- 0.07, N = 344.3944.9344.121. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 129 Cells Per Direction123918273645Min: 43.56 / Avg: 44.39 / Max: 45.56Min: 44.47 / Avg: 44.93 / Max: 45.85Min: 43.99 / Avg: 44.12 / Max: 44.231. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU1232K4K6K8K10KSE +/- 3.41, N = 3SE +/- 80.20, N = 3SE +/- 16.54, N = 38187.488294.968149.80MIN: 8175.57MIN: 8168.26MIN: 8112.131. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU12314002800420056007000Min: 8181.94 / Avg: 8187.48 / Max: 8193.7Min: 8206.51 / Avg: 8294.96 / Max: 8455.06Min: 8118.23 / Avg: 8149.8 / Max: 8174.161. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

Xcompact3d Incompact3d

Xcompact3d Incompact3d is a Fortran-MPI based, finite difference high-performance code for solving the incompressible Navier-Stokes equation and as many as you need scalar transport equations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 193 Cells Per Direction1234080120160200SE +/- 0.13, N = 3SE +/- 1.44, N = 12SE +/- 0.10, N = 3157.43160.04157.361. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 193 Cells Per Direction123306090120150Min: 157.18 / Avg: 157.43 / Max: 157.64Min: 157.72 / Avg: 160.04 / Max: 174.87Min: 157.25 / Avg: 157.36 / Max: 157.561. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

Mobile Neural Network

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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.3Model: SqueezeNetV1.01233691215SE +/- 0.05, N = 3SE +/- 0.14, N = 3SE +/- 0.03, N = 310.1510.2210.07MIN: 9.96 / MAX: 15.18MIN: 9.92 / MAX: 25.01MIN: 9.92 / MAX: 12.591. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.3Model: SqueezeNetV1.01233691215Min: 10.07 / Avg: 10.15 / Max: 10.25Min: 10 / Avg: 10.22 / Max: 10.48Min: 10 / Avg: 10.07 / Max: 10.111. (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

OpenSCAD

OpenSCAD is a programmer-focused solid 3D CAD modeller. OpenSCAD is free software and allows creating 3D CAD objects in a script-based modelling environment. This test profile will use the system-provided OpenSCAD program otherwise and time how long it takes tn render different SCAD assets to PNG output. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenSCADRender: Projector Mount Swivel1234080120160200SE +/- 0.17, N = 3SE +/- 1.17, N = 3SE +/- 0.80, N = 3170.71169.99172.291. OpenSCAD version 2019.01-RC2
OpenBenchmarking.orgSeconds, Fewer Is BetterOpenSCADRender: Projector Mount Swivel123306090120150Min: 170.43 / Avg: 170.71 / Max: 171.03Min: 168.55 / Avg: 169.99 / Max: 172.3Min: 170.98 / Avg: 172.29 / Max: 173.761. OpenSCAD version 2019.01-RC2

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU1233691215SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 313.3813.2113.23MIN: 12.91MIN: 12.88MIN: 12.91. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU12348121620Min: 13.35 / Avg: 13.38 / Max: 13.4Min: 13.19 / Avg: 13.21 / Max: 13.22Min: 13.2 / Avg: 13.23 / Max: 13.251. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

Stockfish

This is a test of Stockfish, an advanced open-source C++11 chess benchmark that can scale up to 512 CPU threads. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 13Total Time1234M8M12M16M20MSE +/- 262210.51, N = 4SE +/- 135386.39, N = 3SE +/- 240236.23, N = 51813348618333344181106151. (CXX) g++ options: -lgcov -m64 -lpthread -fno-exceptions -std=c++17 -fprofile-use -fno-peel-loops -fno-tracer -pedantic -O3 -msse -msse3 -mpopcnt -mavx2 -msse4.1 -mssse3 -msse2 -flto -flto=jobserver
OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 13Total Time1233M6M9M12M15MMin: 17650300 / Avg: 18133485.5 / Max: 18837470Min: 18071904 / Avg: 18333344 / Max: 18525099Min: 17754408 / Avg: 18110615.2 / Max: 190352671. (CXX) g++ options: -lgcov -m64 -lpthread -fno-exceptions -std=c++17 -fprofile-use -fno-peel-loops -fno-tracer -pedantic -O3 -msse -msse3 -mpopcnt -mavx2 -msse4.1 -mssse3 -msse2 -flto -flto=jobserver

AOM AV1

This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.0Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p12348121620SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.12, N = 315.1715.0714.991. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.0Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p12348121620Min: 15.11 / Avg: 15.17 / Max: 15.26Min: 15 / Avg: 15.07 / Max: 15.11Min: 14.77 / Avg: 14.99 / Max: 15.181. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

Mobile Neural Network

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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.3Model: resnet-v2-501231020304050SE +/- 0.14, N = 3SE +/- 0.48, N = 3SE +/- 0.13, N = 345.8646.2345.69MIN: 45.28 / MAX: 65.36MIN: 45.1 / MAX: 60.21MIN: 45.03 / MAX: 60.751. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.3Model: resnet-v2-50123918273645Min: 45.58 / Avg: 45.86 / Max: 46.01Min: 45.37 / Avg: 46.22 / Max: 47.05Min: 45.44 / Avg: 45.69 / Max: 45.831. (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

AOM AV1

This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.0Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K123612182430SE +/- 0.35, N = 4SE +/- 0.04, N = 3SE +/- 0.11, N = 324.3224.5824.591. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.0Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K123612182430Min: 23.27 / Avg: 24.32 / Max: 24.69Min: 24.5 / Avg: 24.58 / Max: 24.63Min: 24.39 / Avg: 24.59 / Max: 24.751. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

srsLTE

srsLTE is an open-source LTE software radio suite created by Software Radio Systems (SRS). srsLTE can be used for building your own software defined (SDR) LTE mobile network. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgUE Mb/s, More Is BettersrsLTE 20.10.1Test: PHY_DL_Test12320406080100SE +/- 0.20, N = 3SE +/- 0.60, N = 3SE +/- 0.13, N = 382.081.482.31. (CXX) g++ options: -std=c++11 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -rdynamic -lpthread -lm -lfftw3f -lmbedcrypto
OpenBenchmarking.orgUE Mb/s, More Is BettersrsLTE 20.10.1Test: PHY_DL_Test1231632486480Min: 81.7 / Avg: 82.03 / Max: 82.4Min: 80.2 / Avg: 81.37 / Max: 82.2Min: 82 / Avg: 82.27 / Max: 82.41. (CXX) g++ options: -std=c++11 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -rdynamic -lpthread -lm -lfftw3f -lmbedcrypto

OpenSCAD

OpenSCAD is a programmer-focused solid 3D CAD modeller. OpenSCAD is free software and allows creating 3D CAD objects in a script-based modelling environment. This test profile will use the system-provided OpenSCAD program otherwise and time how long it takes tn render different SCAD assets to PNG output. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenSCADRender: Pistol123306090120150SE +/- 0.29, N = 3SE +/- 0.45, N = 3SE +/- 0.85, N = 3150.19151.19151.741. OpenSCAD version 2019.01-RC2
OpenBenchmarking.orgSeconds, Fewer Is BetterOpenSCADRender: Pistol123306090120150Min: 149.74 / Avg: 150.19 / Max: 150.72Min: 150.32 / Avg: 151.19 / Max: 151.83Min: 150.33 / Avg: 151.73 / Max: 153.271. OpenSCAD version 2019.01-RC2

Sysbench

This is a benchmark of Sysbench with the built-in CPU and memory sub-tests. Sysbench is a scriptable multi-threaded benchmark tool based on LuaJIT. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/sec, More Is BetterSysbench 1.0.20Test: RAM / Memory1232K4K6K8K10KSE +/- 21.59, N = 3SE +/- 7.05, N = 3SE +/- 22.63, N = 37979.408016.578052.051. (CC) gcc options: -pthread -O2 -funroll-loops -rdynamic -ldl -laio -lm
OpenBenchmarking.orgMiB/sec, More Is BetterSysbench 1.0.20Test: RAM / Memory12314002800420056007000Min: 7952.2 / Avg: 7979.4 / Max: 8022.05Min: 8002.97 / Avg: 8016.57 / Max: 8026.58Min: 8007.63 / Avg: 8052.05 / Max: 8081.741. (CC) gcc options: -pthread -O2 -funroll-loops -rdynamic -ldl -laio -lm

LuaRadio

LuaRadio is a lightweight software-defined radio (SDR) framework built atop LuaJIT. LuaRadio provides a suite of source, sink, and processing blocks, with a simple API for defining flow graphs, running flow graphs, creating blocks, and creating data types. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterLuaRadio 0.9.1Test: Hilbert Transform12320406080100SE +/- 0.23, N = 3SE +/- 0.23, N = 3SE +/- 0.23, N = 392.192.892.0
OpenBenchmarking.orgMiB/s, More Is BetterLuaRadio 0.9.1Test: Hilbert Transform12320406080100Min: 91.7 / Avg: 92.13 / Max: 92.5Min: 92.4 / Avg: 92.83 / Max: 93.2Min: 91.5 / Avg: 91.97 / Max: 92.2

SVT-VP9

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample YUV input video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: Visual Quality Optimized - Input: Bosphorus 1080p12320406080100SE +/- 0.23, N = 3SE +/- 0.09, N = 3SE +/- 0.18, N = 377.6678.1678.291. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: Visual Quality Optimized - Input: Bosphorus 1080p1231530456075Min: 77.26 / Avg: 77.66 / Max: 78.05Min: 77.99 / Avg: 78.16 / Max: 78.27Min: 78.01 / Avg: 78.29 / Max: 78.621. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU1232K4K6K8K10KSE +/- 15.18, N = 3SE +/- 8.62, N = 3SE +/- 18.94, N = 38211.268166.938147.02MIN: 8168.07MIN: 8149.6MIN: 8105.51. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU12314002800420056007000Min: 8181.94 / Avg: 8211.26 / Max: 8232.77Min: 8156.77 / Avg: 8166.93 / Max: 8184.08Min: 8110.28 / Avg: 8147.02 / Max: 8173.341. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

AOM AV1

This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.0Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K1230.86631.73262.59893.46524.3315SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 33.823.853.841. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.0Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K123246810Min: 3.81 / Avg: 3.82 / Max: 3.82Min: 3.83 / Avg: 3.85 / Max: 3.87Min: 3.83 / Avg: 3.84 / Max: 3.851. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenSCAD

OpenSCAD is a programmer-focused solid 3D CAD modeller. OpenSCAD is free software and allows creating 3D CAD objects in a script-based modelling environment. This test profile will use the system-provided OpenSCAD program otherwise and time how long it takes tn render different SCAD assets to PNG output. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenSCADRender: Mini-ITX Case1231530456075SE +/- 0.15, N = 3SE +/- 0.24, N = 3SE +/- 0.24, N = 365.3965.8665.651. OpenSCAD version 2019.01-RC2
OpenBenchmarking.orgSeconds, Fewer Is BetterOpenSCADRender: Mini-ITX Case1231326395265Min: 65.13 / Avg: 65.39 / Max: 65.65Min: 65.5 / Avg: 65.86 / Max: 66.31Min: 65.23 / Avg: 65.65 / Max: 66.061. OpenSCAD version 2019.01-RC2

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenSCADRender: Retro Car123612182430SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 327.1427.1227.301. OpenSCAD version 2019.01-RC2
OpenBenchmarking.orgSeconds, Fewer Is BetterOpenSCADRender: Retro Car123612182430Min: 27.07 / Avg: 27.13 / Max: 27.2Min: 27.09 / Avg: 27.12 / Max: 27.15Min: 27.28 / Avg: 27.3 / Max: 27.321. OpenSCAD version 2019.01-RC2

LuaRadio

LuaRadio is a lightweight software-defined radio (SDR) framework built atop LuaJIT. LuaRadio provides a suite of source, sink, and processing blocks, with a simple API for defining flow graphs, running flow graphs, creating blocks, and creating data types. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterLuaRadio 0.9.1Test: FM Deemphasis Filter12380160240320400SE +/- 0.55, N = 3SE +/- 1.30, N = 3SE +/- 1.13, N = 3387.9386.8389.3
OpenBenchmarking.orgMiB/s, More Is BetterLuaRadio 0.9.1Test: FM Deemphasis Filter12370140210280350Min: 386.9 / Avg: 387.93 / Max: 388.8Min: 384.7 / Avg: 386.83 / Max: 389.2Min: 387.7 / Avg: 389.33 / Max: 391.5

OpenBenchmarking.orgMiB/s, More Is BetterLuaRadio 0.9.1Test: Five Back to Back FIR Filters123100200300400500SE +/- 2.34, N = 3SE +/- 1.63, N = 3SE +/- 0.71, N = 3480.3483.4481.8
OpenBenchmarking.orgMiB/s, More Is BetterLuaRadio 0.9.1Test: Five Back to Back FIR Filters12390180270360450Min: 475.6 / Avg: 480.27 / Max: 482.8Min: 480.4 / Avg: 483.4 / Max: 486Min: 480.4 / Avg: 481.77 / Max: 482.8

Basis Universal

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.13Settings: UASTC Level 01233691215SE +/- 0.007, N = 3SE +/- 0.015, N = 3SE +/- 0.005, N = 39.2469.2199.1871. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.13Settings: UASTC Level 01233691215Min: 9.24 / Avg: 9.25 / Max: 9.26Min: 9.2 / Avg: 9.22 / Max: 9.25Min: 9.18 / Avg: 9.19 / Max: 9.21. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU1239001800270036004500SE +/- 14.69, N = 3SE +/- 13.60, N = 3SE +/- 7.09, N = 34343.324370.984346.16MIN: 4304.78MIN: 4346.29MIN: 4326.611. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU1238001600240032004000Min: 4315.27 / Avg: 4343.32 / Max: 4364.9Min: 4353.58 / Avg: 4370.98 / Max: 4397.79Min: 4333.66 / Avg: 4346.16 / Max: 4358.211. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

Mobile Neural Network

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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.3Model: mobilenet-v1-1.01231.10662.21323.31984.42645.533SE +/- 0.034, N = 3SE +/- 0.055, N = 3SE +/- 0.009, N = 34.9184.8874.904MIN: 4.83 / MAX: 6.07MIN: 4.79 / MAX: 8.37MIN: 4.85 / MAX: 19.451. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.3Model: mobilenet-v1-1.0123246810Min: 4.86 / Avg: 4.92 / Max: 4.98Min: 4.82 / Avg: 4.89 / Max: 5Min: 4.89 / Avg: 4.9 / Max: 4.911. (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

ViennaCL

ViennaCL is an open-source linear algebra library written in C++ and with support for OpenCL and OpenMP. This test profile makes use of ViennaCL's built-in benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-NT123816243240SE +/- 0.36, N = 3SE +/- 0.35, N = 3SE +/- 0.42, N = 332.732.732.51. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-NT123714212835Min: 32.2 / Avg: 32.7 / Max: 33.4Min: 32.2 / Avg: 32.73 / Max: 33.4Min: 32 / Avg: 32.47 / Max: 33.31. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-NN123816243240SE +/- 0.29, N = 3SE +/- 0.40, N = 3SE +/- 0.40, N = 333.333.533.31. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-NN123714212835Min: 32.8 / Avg: 33.27 / Max: 33.8Min: 33 / Avg: 33.5 / Max: 34.3Min: 32.8 / Avg: 33.3 / Max: 34.11. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

SVT-VP9

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample YUV input video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 1080p12320406080100SE +/- 1.49, N = 3SE +/- 1.35, N = 3SE +/- 1.39, N = 393.6393.7193.161. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 1080p12320406080100Min: 90.65 / Avg: 93.63 / Max: 95.31Min: 91.01 / Avg: 93.71 / Max: 95.09Min: 91.06 / Avg: 93.16 / Max: 95.791. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

ViennaCL

ViennaCL is an open-source linear algebra library written in C++ and with support for OpenCL and OpenMP. This test profile makes use of ViennaCL's built-in benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-TT123816243240SE +/- 0.06, N = 3SE +/- 0.12, N = 3SE +/- 0.19, N = 334.234.334.41. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-TT123714212835Min: 34.1 / Avg: 34.2 / Max: 34.3Min: 34.1 / Avg: 34.3 / Max: 34.5Min: 34 / Avg: 34.37 / Max: 34.61. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-TN123816243240SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 334.734.534.51. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-TN123714212835Min: 34.6 / Avg: 34.7 / Max: 34.8Min: 34.4 / Avg: 34.53 / Max: 34.6Min: 34.5 / Avg: 34.53 / Max: 34.61. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

Botan

Botan is a BSD-licensed cross-platform open-source C++ crypto library "cryptography toolkit" that supports most publicly known cryptographic algorithms. The project's stated goal is to be "the best option for cryptography in C++ by offering the tools necessary to implement a range of practical systems, such as TLS protocol, X.509 certificates, modern AEAD ciphers, PKCS#11 and TPM hardware support, password hashing, and post quantum crypto schemes." Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: AES-256 - Decrypt12312002400360048006000SE +/- 4.48, N = 3SE +/- 16.12, N = 3SE +/- 4.78, N = 35483.855461.965493.611. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: AES-256 - Decrypt12310002000300040005000Min: 5479.28 / Avg: 5483.85 / Max: 5492.82Min: 5432.03 / Avg: 5461.96 / Max: 5487.31Min: 5487.39 / Avg: 5493.61 / Max: 55031. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

Liquid-DSP

LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 2 - Buffer Length: 256 - Filter Length: 5712320M40M60M80M100MSE +/- 462793.45, N = 3SE +/- 287595.39, N = 3SE +/- 362276.75, N = 31118633331112366671114966671. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 2 - Buffer Length: 256 - Filter Length: 5712320M40M60M80M100MMin: 110950000 / Avg: 111863333.33 / Max: 112450000Min: 110910000 / Avg: 111236666.67 / Max: 111810000Min: 111030000 / Avg: 111496666.67 / Max: 1122100001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

ViennaCL

ViennaCL is an open-source linear algebra library written in C++ and with support for OpenCL and OpenMP. This test profile makes use of ViennaCL's built-in benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dCOPY123510152025SE +/- 0.00, N = 218.418.518.41. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dCOPY123510152025Min: 18.5 / Avg: 18.5 / Max: 18.51. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - sCOPY123510152025SE +/- 0.00, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 318.518.418.51. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - sCOPY123510152025Min: 18.5 / Avg: 18.5 / Max: 18.5Min: 18.3 / Avg: 18.4 / Max: 18.5Min: 18.4 / Avg: 18.47 / Max: 18.51. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

AOM AV1

This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.0Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p1230.84381.68762.53143.37524.219SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 33.743.733.751. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.0Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p123246810Min: 3.73 / Avg: 3.74 / Max: 3.75Min: 3.73 / Avg: 3.73 / Max: 3.74Min: 3.74 / Avg: 3.75 / Max: 3.761. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

Mobile Neural Network

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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.3Model: MobileNetV2_2241231.21842.43683.65524.87366.092SE +/- 0.047, N = 3SE +/- 0.077, N = 3SE +/- 0.021, N = 35.3985.4155.387MIN: 5.27 / MAX: 11.32MIN: 5.3 / MAX: 24.9MIN: 5.31 / MAX: 7.461. (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
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.3Model: MobileNetV2_224123246810Min: 5.31 / Avg: 5.4 / Max: 5.48Min: 5.34 / Avg: 5.42 / Max: 5.57Min: 5.35 / Avg: 5.39 / Max: 5.421. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

srsLTE

srsLTE is an open-source LTE software radio suite created by Software Radio Systems (SRS). srsLTE can be used for building your own software defined (SDR) LTE mobile network. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSamples / Second, More Is BettersrsLTE 20.10.1Test: OFDM_Test12320M40M60M80M100MSE +/- 371184.29, N = 3SE +/- 88191.71, N = 3SE +/- 305505.05, N = 37786666778266667781000001. (CXX) g++ options: -std=c++11 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -rdynamic -lpthread -lm -lfftw3f -lmbedcrypto
OpenBenchmarking.orgSamples / Second, More Is BettersrsLTE 20.10.1Test: OFDM_Test12314M28M42M56M70MMin: 77400000 / Avg: 77866666.67 / Max: 78600000Min: 78100000 / Avg: 78266666.67 / Max: 78400000Min: 77500000 / Avg: 78100000 / Max: 785000001. (CXX) g++ options: -std=c++11 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -rdynamic -lpthread -lm -lfftw3f -lmbedcrypto

ViennaCL

ViennaCL is an open-source linear algebra library written in C++ and with support for OpenCL and OpenMP. This test profile makes use of ViennaCL's built-in benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dDOT123918273645SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.10, N = 339.039.239.21. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dDOT123816243240Min: 38.9 / Avg: 39.03 / Max: 39.1Min: 39.1 / Avg: 39.17 / Max: 39.3Min: 39 / Avg: 39.2 / Max: 39.31. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

srsLTE

srsLTE is an open-source LTE software radio suite created by Software Radio Systems (SRS). srsLTE can be used for building your own software defined (SDR) LTE mobile network. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgeNb Mb/s, More Is BettersrsLTE 20.10.1Test: PHY_DL_Test12350100150200250SE +/- 0.39, N = 3SE +/- 0.17, N = 3SE +/- 0.46, N = 3216.0214.9216.01. (CXX) g++ options: -std=c++11 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -rdynamic -lpthread -lm -lfftw3f -lmbedcrypto
OpenBenchmarking.orgeNb Mb/s, More Is BettersrsLTE 20.10.1Test: PHY_DL_Test1234080120160200Min: 215.5 / Avg: 216.03 / Max: 216.8Min: 214.6 / Avg: 214.93 / Max: 215.1Min: 215.2 / Avg: 216.03 / Max: 216.81. (CXX) g++ options: -std=c++11 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -rdynamic -lpthread -lm -lfftw3f -lmbedcrypto

SVT-HEVC

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 7 - Input: Bosphorus 1080p1231632486480SE +/- 0.11, N = 3SE +/- 0.07, N = 3SE +/- 0.21, N = 372.7972.8973.161. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 7 - Input: Bosphorus 1080p1231428425670Min: 72.59 / Avg: 72.79 / Max: 72.97Min: 72.76 / Avg: 72.89 / Max: 73.01Min: 72.82 / Avg: 73.16 / Max: 73.531. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

AOM AV1

This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.0Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K1230.45230.90461.35691.80922.2615SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 32.002.012.011. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.0Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K123246810Min: 2 / Avg: 2 / Max: 2.01Min: 2 / Avg: 2.01 / Max: 2.01Min: 2 / Avg: 2.01 / Max: 2.011. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU123246810SE +/- 0.00658, N = 3SE +/- 0.00479, N = 3SE +/- 0.01107, N = 38.407988.420098.37864MIN: 8.2MIN: 8.19MIN: 8.091. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU1233691215Min: 8.4 / Avg: 8.41 / Max: 8.42Min: 8.41 / Avg: 8.42 / Max: 8.43Min: 8.36 / Avg: 8.38 / Max: 8.41. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

Timed Linux Kernel Compilation

This test times how long it takes to build the Linux kernel in a default configuration (defconfig) for the architecture being tested. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.10.20Time To Compile123306090120150SE +/- 1.03, N = 3SE +/- 1.50, N = 3SE +/- 0.94, N = 3112.37112.39111.85
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.10.20Time To Compile12320406080100Min: 110.94 / Avg: 112.37 / Max: 114.36Min: 110.87 / Avg: 112.39 / Max: 115.38Min: 110.9 / Avg: 111.85 / Max: 113.72

simdjson

This is a benchmark of SIMDJSON, a high performance JSON parser. SIMDJSON aims to be the fastest JSON parser and is used by projects like Microsoft FishStore, Yandex ClickHouse, Shopify, and others. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.8.2Throughput Test: Kostya1230.47030.94061.41091.88122.3515SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 32.082.082.091. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.8.2Throughput Test: Kostya123246810Min: 2.07 / Avg: 2.08 / Max: 2.09Min: 2.07 / Avg: 2.08 / Max: 2.09Min: 2.09 / Avg: 2.09 / Max: 2.091. (CXX) g++ options: -O3 -pthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU1239001800270036004500SE +/- 5.40, N = 3SE +/- 6.88, N = 3SE +/- 2.52, N = 34366.854351.794347.64MIN: 4351.4MIN: 4329.09MIN: 4335.41. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU1238001600240032004000Min: 4359.58 / Avg: 4366.85 / Max: 4377.41Min: 4338.06 / Avg: 4351.79 / Max: 4359.41Min: 4342.72 / Avg: 4347.64 / Max: 43511. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU12348121620SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 314.5514.5914.61MIN: 14.15MIN: 14.16MIN: 13.971. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU12348121620Min: 14.54 / Avg: 14.55 / Max: 14.58Min: 14.55 / Avg: 14.59 / Max: 14.64Min: 14.55 / Avg: 14.61 / Max: 14.691. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

Botan

Botan is a BSD-licensed cross-platform open-source C++ crypto library "cryptography toolkit" that supports most publicly known cryptographic algorithms. The project's stated goal is to be "the best option for cryptography in C++ by offering the tools necessary to implement a range of practical systems, such as TLS protocol, X.509 certificates, modern AEAD ciphers, PKCS#11 and TPM hardware support, password hashing, and post quantum crypto schemes." Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: ChaCha20Poly1305123100200300400500SE +/- 0.30, N = 3SE +/- 1.00, N = 3SE +/- 0.20, N = 3484.19482.25484.231. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: ChaCha20Poly130512390180270360450Min: 483.78 / Avg: 484.19 / Max: 484.77Min: 481.1 / Avg: 482.25 / Max: 484.25Min: 483.87 / Avg: 484.23 / Max: 484.551. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: AES-25612312002400360048006000SE +/- 1.56, N = 3SE +/- 10.44, N = 3SE +/- 1.41, N = 35427.385406.605426.081. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: AES-2561239001800270036004500Min: 5425.79 / Avg: 5427.38 / Max: 5430.49Min: 5395.4 / Avg: 5406.6 / Max: 5427.46Min: 5424.59 / Avg: 5426.08 / Max: 5428.91. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU1233691215SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 311.1611.1711.13MIN: 11.09MIN: 11.08MIN: 11.051. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU1233691215Min: 11.15 / Avg: 11.16 / Max: 11.18Min: 11.13 / Avg: 11.17 / Max: 11.23Min: 11.1 / Avg: 11.13 / Max: 11.161. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

ViennaCL

ViennaCL is an open-source linear algebra library written in C++ and with support for OpenCL and OpenMP. This test profile makes use of ViennaCL's built-in benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - sAXPY123612182430SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 327.627.527.51. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - sAXPY123612182430Min: 27.5 / Avg: 27.57 / Max: 27.6Min: 27.5 / Avg: 27.53 / Max: 27.6Min: 27.5 / Avg: 27.53 / Max: 27.61. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dAXPY123714212835SE +/- 0.05, N = 2SE +/- 0.03, N = 3SE +/- 0.03, N = 327.827.727.71. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dAXPY123612182430Min: 27.7 / Avg: 27.75 / Max: 27.8Min: 27.7 / Avg: 27.73 / Max: 27.8Min: 27.6 / Avg: 27.67 / Max: 27.71. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

AOM AV1

This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.0Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K123246810SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 38.618.608.631. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.0Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K1233691215Min: 8.6 / Avg: 8.61 / Max: 8.62Min: 8.56 / Avg: 8.6 / Max: 8.65Min: 8.61 / Avg: 8.63 / Max: 8.651. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

LuaRadio

LuaRadio is a lightweight software-defined radio (SDR) framework built atop LuaJIT. LuaRadio provides a suite of source, sink, and processing blocks, with a simple API for defining flow graphs, running flow graphs, creating blocks, and creating data types. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterLuaRadio 0.9.1Test: Complex Phase123120240360480600SE +/- 1.45, N = 3SE +/- 1.66, N = 3SE +/- 1.02, N = 3551.7553.6552.3
OpenBenchmarking.orgMiB/s, More Is BetterLuaRadio 0.9.1Test: Complex Phase123100200300400500Min: 548.9 / Avg: 551.73 / Max: 553.7Min: 551 / Avg: 553.6 / Max: 556.7Min: 550.3 / Avg: 552.33 / Max: 553.4

Sysbench

This is a benchmark of Sysbench with the built-in CPU and memory sub-tests. Sysbench is a scriptable multi-threaded benchmark tool based on LuaJIT. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgEvents Per Second, More Is BetterSysbench 1.0.20Test: CPU1233K6K9K12K15KSE +/- 0.53, N = 3SE +/- 0.20, N = 3SE +/- 6.91, N = 314106.4714107.9714154.661. (CC) gcc options: -pthread -O2 -funroll-loops -rdynamic -ldl -laio -lm
OpenBenchmarking.orgEvents Per Second, More Is BetterSysbench 1.0.20Test: CPU1232K4K6K8K10KMin: 14105.8 / Avg: 14106.47 / Max: 14107.53Min: 14107.68 / Avg: 14107.97 / Max: 14108.35Min: 14145.47 / Avg: 14154.66 / Max: 14168.191. (CC) gcc options: -pthread -O2 -funroll-loops -rdynamic -ldl -laio -lm

Liquid-DSP

LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 1 - Buffer Length: 256 - Filter Length: 5712312M24M36M48M60MSE +/- 221002.51, N = 3SE +/- 183205.11, N = 3SE +/- 290873.59, N = 35632033356235333561343331. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 1 - Buffer Length: 256 - Filter Length: 5712310M20M30M40M50MMin: 55918000 / Avg: 56320333.33 / Max: 56680000Min: 55869000 / Avg: 56235333.33 / Max: 56425000Min: 55664000 / Avg: 56134333.33 / Max: 566660001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

Timed Node.js Compilation

This test profile times how long it takes to build/compile Node.js itself from source. Node.js is a JavaScript run-time built from the Chrome V8 JavaScript engine while itself is written in C/C++. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 15.11Time To Compile123130260390520650SE +/- 1.62, N = 3SE +/- 1.55, N = 3SE +/- 1.22, N = 3614.67615.08613.07
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 15.11Time To Compile123110220330440550Min: 611.43 / Avg: 614.67 / Max: 616.51Min: 611.98 / Avg: 615.08 / Max: 616.77Min: 610.85 / Avg: 613.07 / Max: 615.06

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU1239001800270036004500SE +/- 6.89, N = 3SE +/- 13.08, N = 3SE +/- 12.70, N = 34355.034340.824341.46MIN: 4334.34MIN: 4309.94MIN: 4314.231. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU1238001600240032004000Min: 4341.8 / Avg: 4355.03 / Max: 4365.01Min: 4316.38 / Avg: 4340.82 / Max: 4361.11Min: 4325.27 / Avg: 4341.46 / Max: 4366.511. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

Liquid-DSP

LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 16 - Buffer Length: 256 - Filter Length: 5712390M180M270M360M450MSE +/- 653715.87, N = 3SE +/- 698721.05, N = 3SE +/- 745035.42, N = 34381333334377066674390766671. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 16 - Buffer Length: 256 - Filter Length: 5712380M160M240M320M400MMin: 437340000 / Avg: 438133333.33 / Max: 439430000Min: 436510000 / Avg: 437706666.67 / Max: 438930000Min: 437860000 / Avg: 439076666.67 / Max: 4404300001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU1232K4K6K8K10KSE +/- 18.76, N = 3SE +/- 18.96, N = 3SE +/- 14.12, N = 38186.058197.448172.53MIN: 8154.67MIN: 8159.65MIN: 8141.851. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU12314002800420056007000Min: 8162.38 / Avg: 8186.05 / Max: 8223.09Min: 8167.6 / Avg: 8197.44 / Max: 8232.62Min: 8148.34 / Avg: 8172.53 / Max: 8197.241. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

SVT-HEVC

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 10 - Input: Bosphorus 1080p123306090120150SE +/- 0.38, N = 3SE +/- 0.36, N = 3SE +/- 0.38, N = 3149.71150.09149.661. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 10 - Input: Bosphorus 1080p123306090120150Min: 148.96 / Avg: 149.71 / Max: 150.23Min: 149.37 / Avg: 150.09 / Max: 150.53Min: 148.99 / Avg: 149.66 / Max: 150.31. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU123246810SE +/- 0.01097, N = 3SE +/- 0.00543, N = 3SE +/- 0.01793, N = 38.378578.386468.36378MIN: 8.25MIN: 8.25MIN: 8.251. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU1233691215Min: 8.36 / Avg: 8.38 / Max: 8.39Min: 8.38 / Avg: 8.39 / Max: 8.39Min: 8.33 / Avg: 8.36 / Max: 8.381. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

Basis Universal

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.13Settings: ETC1S123714212835SE +/- 0.10, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 331.1931.1331.111. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.13Settings: ETC1S123714212835Min: 31.01 / Avg: 31.19 / Max: 31.36Min: 31.11 / Avg: 31.13 / Max: 31.17Min: 31.03 / Avg: 31.11 / Max: 31.171. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU1231.12062.24123.36184.48245.603SE +/- 0.00815, N = 3SE +/- 0.00255, N = 3SE +/- 0.00159, N = 34.980314.967464.97285MIN: 4.9MIN: 4.89MIN: 4.881. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU123246810Min: 4.97 / Avg: 4.98 / Max: 5Min: 4.96 / Avg: 4.97 / Max: 4.97Min: 4.97 / Avg: 4.97 / Max: 4.981. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

ViennaCL

ViennaCL is an open-source linear algebra library written in C++ and with support for OpenCL and OpenMP. This test profile makes use of ViennaCL's built-in benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - sDOT123918273645SE +/- 0.07, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 339.139.039.01. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - sDOT123816243240Min: 39 / Avg: 39.13 / Max: 39.2Min: 38.9 / Avg: 39.03 / Max: 39.2Min: 38.9 / Avg: 39.03 / Max: 39.21. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

GNU GMP GMPbench

GMPbench is a test of the GNU Multiple Precision Arithmetic (GMP) Library. GMPbench is a single-threaded integer benchmark that leverages the GMP library to stress the CPU with widening integer multiplication. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGMPbench Score, More Is BetterGNU GMP GMPbench 6.2.1Total Time123110022003300440055004923.14917.24929.81. (CC) gcc options: -O3 -fomit-frame-pointer -lm

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU123612182430SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 324.4024.3424.38MIN: 23.71MIN: 23.78MIN: 23.611. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU123612182430Min: 24.36 / Avg: 24.4 / Max: 24.45Min: 24.3 / Avg: 24.34 / Max: 24.39Min: 24.35 / Avg: 24.38 / Max: 24.411. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

Botan

Botan is a BSD-licensed cross-platform open-source C++ crypto library "cryptography toolkit" that supports most publicly known cryptographic algorithms. The project's stated goal is to be "the best option for cryptography in C++ by offering the tools necessary to implement a range of practical systems, such as TLS protocol, X.509 certificates, modern AEAD ciphers, PKCS#11 and TPM hardware support, password hashing, and post quantum crypto schemes." Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: ChaCha20Poly1305 - Decrypt123100200300400500SE +/- 0.25, N = 3SE +/- 0.72, N = 3SE +/- 0.25, N = 3482.85481.67482.571. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: ChaCha20Poly1305 - Decrypt12390180270360450Min: 482.4 / Avg: 482.85 / Max: 483.27Min: 480.24 / Avg: 481.67 / Max: 482.58Min: 482.27 / Avg: 482.57 / Max: 483.071. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

ViennaCL

ViennaCL is an open-source linear algebra library written in C++ and with support for OpenCL and OpenMP. This test profile makes use of ViennaCL's built-in benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMV-N123918273645SE +/- 0.15, N = 3SE +/- 0.18, N = 3SE +/- 0.18, N = 341.441.441.31. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMV-N123918273645Min: 41.2 / Avg: 41.4 / Max: 41.7Min: 41.1 / Avg: 41.43 / Max: 41.7Min: 41 / Avg: 41.33 / Max: 41.61. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

Timed Erlang/OTP Compilation

This test times how long it takes to compile Erlang/OTP. Erlang is a programming language and run-time for massively scalable soft real-time systems with high availability requirements. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Erlang/OTP Compilation 23.2Time To Compile1234080120160200SE +/- 0.10, N = 3SE +/- 0.12, N = 3SE +/- 0.15, N = 3170.80171.21170.80
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Erlang/OTP Compilation 23.2Time To Compile123306090120150Min: 170.67 / Avg: 170.8 / Max: 170.99Min: 170.96 / Avg: 171.21 / Max: 171.33Min: 170.53 / Avg: 170.8 / Max: 171.05

ViennaCL

ViennaCL is an open-source linear algebra library written in C++ and with support for OpenCL and OpenMP. This test profile makes use of ViennaCL's built-in benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMV-T1231020304050SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.07, N = 343.243.243.11. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL
OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMV-T123918273645Min: 43.2 / Avg: 43.2 / Max: 43.2Min: 43.2 / Avg: 43.2 / Max: 43.2Min: 43 / Avg: 43.13 / Max: 43.21. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

Basis Universal

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.13Settings: UASTC Level 2123918273645SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.11, N = 340.5340.5040.451. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.13Settings: UASTC Level 2123816243240Min: 40.38 / Avg: 40.53 / Max: 40.67Min: 40.36 / Avg: 40.5 / Max: 40.59Min: 40.25 / Avg: 40.45 / Max: 40.591. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU1233691215SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 310.8610.8810.88MIN: 10.55MIN: 10.47MIN: 10.541. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU1233691215Min: 10.83 / Avg: 10.86 / Max: 10.89Min: 10.88 / Avg: 10.88 / Max: 10.89Min: 10.87 / Avg: 10.88 / Max: 10.881. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

SVT-HEVC

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 1 - Input: Bosphorus 1080p1231.23082.46163.69244.92326.154SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 35.465.465.471. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 1 - Input: Bosphorus 1080p123246810Min: 5.43 / Avg: 5.46 / Max: 5.48Min: 5.42 / Avg: 5.46 / Max: 5.5Min: 5.45 / Avg: 5.47 / Max: 5.51. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

AOM AV1

This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.0Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p1233691215SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 311.1411.1611.161. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.0Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p1233691215Min: 11.1 / Avg: 11.14 / Max: 11.17Min: 11.14 / Avg: 11.16 / Max: 11.2Min: 11.08 / Avg: 11.16 / Max: 11.221. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

Liquid-DSP

LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 4 - Buffer Length: 256 - Filter Length: 5712340M80M120M160M200MSE +/- 384071.75, N = 3SE +/- 308598.98, N = 3SE +/- 626905.98, N = 32091133332094600002093366671. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 4 - Buffer Length: 256 - Filter Length: 5712340M80M120M160M200MMin: 208360000 / Avg: 209113333.33 / Max: 209620000Min: 208970000 / Avg: 209460000 / Max: 210030000Min: 208680000 / Avg: 209336666.67 / Max: 2105900001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU123246810SE +/- 0.00328, N = 3SE +/- 0.00340, N = 3SE +/- 0.01300, N = 38.105308.105518.11780MIN: 7.13MIN: 7.12MIN: 7.781. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU1233691215Min: 8.1 / Avg: 8.11 / Max: 8.11Min: 8.1 / Avg: 8.11 / Max: 8.11Min: 8.1 / Avg: 8.12 / Max: 8.141. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU1231.20982.41963.62944.83926.049SE +/- 0.00225, N = 3SE +/- 0.01071, N = 3SE +/- 0.00128, N = 35.372655.376915.36897MIN: 5.28MIN: 5.24MIN: 5.281. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU123246810Min: 5.37 / Avg: 5.37 / Max: 5.38Min: 5.36 / Avg: 5.38 / Max: 5.4Min: 5.37 / Avg: 5.37 / Max: 5.371. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenSCAD

OpenSCAD is a programmer-focused solid 3D CAD modeller. OpenSCAD is free software and allows creating 3D CAD objects in a script-based modelling environment. This test profile will use the system-provided OpenSCAD program otherwise and time how long it takes tn render different SCAD assets to PNG output. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenSCADRender: Leonardo Phone Case Slim123612182430SE +/- 0.08, N = 3SE +/- 0.09, N = 3SE +/- 0.07, N = 325.4025.3925.431. OpenSCAD version 2019.01-RC2
OpenBenchmarking.orgSeconds, Fewer Is BetterOpenSCADRender: Leonardo Phone Case Slim123612182430Min: 25.25 / Avg: 25.4 / Max: 25.52Min: 25.22 / Avg: 25.39 / Max: 25.54Min: 25.3 / Avg: 25.42 / Max: 25.541. OpenSCAD version 2019.01-RC2

Liquid-DSP

LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 8 - Buffer Length: 256 - Filter Length: 5712380M160M240M320M400MSE +/- 54873.59, N = 3SE +/- 140988.57, N = 3SE +/- 471322.02, N = 33783766673783733333778366671. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 8 - Buffer Length: 256 - Filter Length: 5712370M140M210M280M350MMin: 378280000 / Avg: 378376666.67 / Max: 378470000Min: 378100000 / Avg: 378373333.33 / Max: 378570000Min: 377110000 / Avg: 377836666.67 / Max: 3787200001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

Botan

Botan is a BSD-licensed cross-platform open-source C++ crypto library "cryptography toolkit" that supports most publicly known cryptographic algorithms. The project's stated goal is to be "the best option for cryptography in C++ by offering the tools necessary to implement a range of practical systems, such as TLS protocol, X.509 certificates, modern AEAD ciphers, PKCS#11 and TPM hardware support, password hashing, and post quantum crypto schemes." Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: Twofish - Decrypt12380160240320400SE +/- 0.21, N = 3SE +/- 0.01, N = 3SE +/- 0.14, N = 3352.19351.99352.491. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: Twofish - Decrypt12360120180240300Min: 351.82 / Avg: 352.19 / Max: 352.53Min: 351.98 / Avg: 351.99 / Max: 352.01Min: 352.22 / Avg: 352.49 / Max: 352.711. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

SVT-VP9

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample YUV input video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p12320406080100SE +/- 0.14, N = 3SE +/- 0.19, N = 3SE +/- 0.39, N = 398.9299.0599.031. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p12320406080100Min: 98.65 / Avg: 98.92 / Max: 99.14Min: 98.85 / Avg: 99.05 / Max: 99.44Min: 98.43 / Avg: 99.03 / Max: 99.761. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU1230.62941.25881.88822.51763.147SE +/- 0.00339, N = 3SE +/- 0.00485, N = 3SE +/- 0.00436, N = 32.793762.797362.79570MIN: 2.57MIN: 2.59MIN: 2.61. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU123246810Min: 2.79 / Avg: 2.79 / Max: 2.8Min: 2.79 / Avg: 2.8 / Max: 2.8Min: 2.79 / Avg: 2.8 / Max: 2.81. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

Basis Universal

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.13Settings: UASTC Level 312320406080100SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 377.2077.1877.121. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.13Settings: UASTC Level 31231530456075Min: 77.15 / Avg: 77.2 / Max: 77.28Min: 77.12 / Avg: 77.18 / Max: 77.29Min: 77.04 / Avg: 77.12 / Max: 77.261. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

Botan

Botan is a BSD-licensed cross-platform open-source C++ crypto library "cryptography toolkit" that supports most publicly known cryptographic algorithms. The project's stated goal is to be "the best option for cryptography in C++ by offering the tools necessary to implement a range of practical systems, such as TLS protocol, X.509 certificates, modern AEAD ciphers, PKCS#11 and TPM hardware support, password hashing, and post quantum crypto schemes." Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: CAST-256123306090120150SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 3141.15141.21141.271. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: CAST-256123306090120150Min: 141.12 / Avg: 141.15 / Max: 141.17Min: 141.14 / Avg: 141.21 / Max: 141.28Min: 141.17 / Avg: 141.27 / Max: 141.451. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: Blowfish - Decrypt12390180270360450SE +/- 0.10, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 3431.59431.25431.381. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: Blowfish - Decrypt12380160240320400Min: 431.43 / Avg: 431.59 / Max: 431.78Min: 431.15 / Avg: 431.25 / Max: 431.42Min: 431.21 / Avg: 431.38 / Max: 431.531. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: Twofish12380160240320400SE +/- 0.24, N = 3SE +/- 0.07, N = 3SE +/- 0.21, N = 3352.93353.09353.071. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: Twofish12360120180240300Min: 352.52 / Avg: 352.93 / Max: 353.35Min: 352.96 / Avg: 353.09 / Max: 353.22Min: 352.68 / Avg: 353.06 / Max: 353.391. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: CAST-256 - Decrypt123306090120150SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3141.16141.19141.131. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: CAST-256 - Decrypt123306090120150Min: 141.05 / Avg: 141.16 / Max: 141.26Min: 141.16 / Avg: 141.19 / Max: 141.23Min: 141.06 / Avg: 141.13 / Max: 141.181. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: Blowfish12390180270360450SE +/- 0.04, N = 3SE +/- 0.16, N = 3SE +/- 0.14, N = 3431.39431.35431.521. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: Blowfish12380160240320400Min: 431.32 / Avg: 431.38 / Max: 431.46Min: 431.09 / Avg: 431.35 / Max: 431.66Min: 431.25 / Avg: 431.52 / Max: 431.731. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

AOM AV1

This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.0Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K123714212835SE +/- 0.32, N = 8SE +/- 0.30, N = 9SE +/- 0.35, N = 630.4030.3930.401. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.0Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K123714212835Min: 28.87 / Avg: 30.4 / Max: 31.09Min: 28.79 / Avg: 30.39 / Max: 31.01Min: 28.79 / Avg: 30.4 / Max: 31.071. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU123612182430SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 323.7923.8023.79MIN: 23.24MIN: 23.38MIN: 23.461. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU123612182430Min: 23.78 / Avg: 23.79 / Max: 23.8Min: 23.79 / Avg: 23.8 / Max: 23.81Min: 23.78 / Avg: 23.79 / Max: 23.821. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

Botan

Botan is a BSD-licensed cross-platform open-source C++ crypto library "cryptography toolkit" that supports most publicly known cryptographic algorithms. The project's stated goal is to be "the best option for cryptography in C++ by offering the tools necessary to implement a range of practical systems, such as TLS protocol, X.509 certificates, modern AEAD ciphers, PKCS#11 and TPM hardware support, password hashing, and post quantum crypto schemes." Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: KASUMI - Decrypt12320406080100SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 387.8487.8687.861. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: KASUMI - Decrypt12320406080100Min: 87.82 / Avg: 87.84 / Max: 87.86Min: 87.84 / Avg: 87.86 / Max: 87.88Min: 87.85 / Avg: 87.86 / Max: 87.871. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: KASUMI12320406080100SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 391.5591.5691.551. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.17.3Test: KASUMI12320406080100Min: 91.5 / Avg: 91.55 / Max: 91.58Min: 91.55 / Avg: 91.56 / Max: 91.58Min: 91.52 / Avg: 91.55 / Max: 91.581. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

Systemd Total Boot Time

This test uses systemd-analyze to report the entire boot time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterSystemd Total Boot TimeTest: Userspace1235K10K15K20K25K232952329523295

OpenBenchmarking.orgms, Fewer Is BetterSystemd Total Boot TimeTest: Firmware1232K4K6K8K10K112401124011240

OpenBenchmarking.orgms, Fewer Is BetterSystemd Total Boot TimeTest: Loader12311002200330044005500521252125212

OpenBenchmarking.orgms, Fewer Is BetterSystemd Total Boot TimeTest: Kernel1236001200180024003000276127612761

OpenBenchmarking.orgms, Fewer Is BetterSystemd Total Boot TimeTest: Total1236K12K18K24K30K260562605626056

AOM AV1

This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.0Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p1230.04950.0990.14850.1980.2475SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.220.220.221. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.0Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p12312345Min: 0.22 / Avg: 0.22 / Max: 0.22Min: 0.22 / Avg: 0.22 / Max: 0.22Min: 0.22 / Avg: 0.22 / Max: 0.221. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.0Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K1230.01580.03160.04740.06320.079SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.070.070.071. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.0Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K12312345Min: 0.07 / Avg: 0.07 / Max: 0.07Min: 0.07 / Avg: 0.07 / Max: 0.07Min: 0.07 / Avg: 0.07 / Max: 0.071. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

simdjson

This is a benchmark of SIMDJSON, a high performance JSON parser. SIMDJSON aims to be the fastest JSON parser and is used by projects like Microsoft FishStore, Yandex ClickHouse, Shopify, and others. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.8.2Throughput Test: DistinctUserID1230.6931.3862.0792.7723.465SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 33.083.083.081. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.8.2Throughput Test: DistinctUserID123246810Min: 3.08 / Avg: 3.08 / Max: 3.08Min: 3.07 / Avg: 3.08 / Max: 3.08Min: 3.07 / Avg: 3.08 / Max: 3.081. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.8.2Throughput Test: PartialTweets1230.6391.2781.9172.5563.195SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 32.842.842.841. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.8.2Throughput Test: PartialTweets123246810Min: 2.84 / Avg: 2.84 / Max: 2.84Min: 2.83 / Avg: 2.84 / Max: 2.84Min: 2.83 / Avg: 2.84 / Max: 2.841. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.8.2Throughput Test: LargeRandom1230.19580.39160.58740.78320.979SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.870.870.871. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.8.2Throughput Test: LargeRandom123246810Min: 0.86 / Avg: 0.87 / Max: 0.87Min: 0.87 / Avg: 0.87 / Max: 0.87Min: 0.87 / Avg: 0.87 / Max: 0.871. (CXX) g++ options: -O3 -pthread

AOM AV1

This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.0Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p1231428425670SE +/- 1.45, N = 15SE +/- 1.43, N = 15SE +/- 1.64, N = 1264.7564.8462.671. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.0Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p1231326395265Min: 55.98 / Avg: 64.75 / Max: 70.45Min: 57 / Avg: 64.84 / Max: 71.21Min: 56.7 / Avg: 62.67 / Max: 71.461. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.0Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p1231326395265SE +/- 0.92, N = 15SE +/- 0.83, N = 15SE +/- 0.50, N = 354.4854.9055.961. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.0Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p1231122334455Min: 48.56 / Avg: 54.48 / Max: 57.91Min: 49.09 / Avg: 54.9 / Max: 58.21Min: 55.33 / Avg: 55.96 / Max: 56.941. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

104 Results Shown

Mobile Neural Network
Xcompact3d Incompact3d
oneDNN
Xcompact3d Incompact3d
Mobile Neural Network
OpenSCAD
oneDNN
Stockfish
AOM AV1
Mobile Neural Network
AOM AV1
srsLTE
OpenSCAD
Sysbench
LuaRadio
SVT-VP9
oneDNN
AOM AV1
OpenSCAD:
  Mini-ITX Case
  Retro Car
LuaRadio:
  FM Deemphasis Filter
  Five Back to Back FIR Filters
Basis Universal
oneDNN
Mobile Neural Network
ViennaCL:
  CPU BLAS - dGEMM-NT
  CPU BLAS - dGEMM-NN
SVT-VP9
ViennaCL:
  CPU BLAS - dGEMM-TT
  CPU BLAS - dGEMM-TN
Botan
Liquid-DSP
ViennaCL:
  CPU BLAS - dCOPY
  CPU BLAS - sCOPY
AOM AV1
Mobile Neural Network
srsLTE
ViennaCL
srsLTE
SVT-HEVC
AOM AV1
oneDNN
Timed Linux Kernel Compilation
simdjson
oneDNN:
  Recurrent Neural Network Inference - bf16bf16bf16 - CPU
  Deconvolution Batch shapes_3d - f32 - CPU
Botan:
  ChaCha20Poly1305
  AES-256
oneDNN
ViennaCL:
  CPU BLAS - sAXPY
  CPU BLAS - dAXPY
AOM AV1
LuaRadio
Sysbench
Liquid-DSP
Timed Node.js Compilation
oneDNN
Liquid-DSP
oneDNN
SVT-HEVC
oneDNN
Basis Universal
oneDNN
ViennaCL
GNU GMP GMPbench
oneDNN
Botan
ViennaCL
Timed Erlang/OTP Compilation
ViennaCL
Basis Universal
oneDNN
SVT-HEVC
AOM AV1
Liquid-DSP
oneDNN:
  IP Shapes 1D - u8s8f32 - CPU
  Matrix Multiply Batch Shapes Transformer - f32 - CPU
OpenSCAD
Liquid-DSP
Botan
SVT-VP9
oneDNN
Basis Universal
Botan:
  CAST-256
  Blowfish - Decrypt
  Twofish
  CAST-256 - Decrypt
  Blowfish
AOM AV1
oneDNN
Botan:
  KASUMI - Decrypt
  KASUMI
Systemd Total Boot Time:
  Userspace
  Firmware
  Loader
  Kernel
  Total
AOM AV1:
  Speed 0 Two-Pass - Bosphorus 1080p
  Speed 0 Two-Pass - Bosphorus 4K
simdjson:
  DistinctUserID
  PartialTweets
  LargeRand
AOM AV1:
  Speed 9 Realtime - Bosphorus 1080p
  Speed 8 Realtime - Bosphorus 1080p