10600K pre RKL

Intel Core i5-10600K testing with a ASUS PRIME Z490M-PLUS (1001 BIOS) and ASUS Intel UHD 630 3GB on Ubuntu 20.04 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 2103183-IB-10600KPRE35
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10600K pre RKL - Phoronix Test Suite

10600K pre RKL

Intel Core i5-10600K testing with a ASUS PRIME Z490M-PLUS (1001 BIOS) and ASUS Intel UHD 630 3GB on Ubuntu 20.04 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2103183-IB-10600KPRE35&rdt&grw.

10600K pre RKLProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen Resolution123Intel Core i5-10600K @ 4.80GHz (6 Cores / 12 Threads)ASUS PRIME Z490M-PLUS (1001 BIOS)Intel Comet Lake PCH32GBSamsung SSD 970 EVO 500GBASUS Intel UHD 630 3GB (1200MHz)Realtek ALC887-VDLG Ultra HDIntelUbuntu 20.045.9.0-050900daily20201012-generic (x86_64)GNOME Shell 3.36.4X Server 1.20.94.6 Mesa 20.0.81.2.131GCC 9.3.0ext43840x2160OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler 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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details- Scaling Governor: intel_pstate powersave - CPU Microcode: 0xe0Python Details- Python 3.8.5Security Details- itlb_multihit: KVM: Mitigation of VMX unsupported + 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 Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

10600K pre RKLbasis: ETC1Sbasis: UASTC Level 0basis: UASTC Level 2basis: UASTC Level 3astcenc: Mediumastcenc: Thoroughastcenc: Exhaustivemnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3onednn: IP Shapes 1D - f32 - CPUonednn: IP Shapes 3D - f32 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUincompact3d: input.i3d 129 Cells Per Directionincompact3d: input.i3d 193 Cells Per Directionsysbench: RAM / Memorysysbench: CPUaom-av1: Speed 0 Two-Passaom-av1: Speed 4 Two-Passaom-av1: Speed 6 Realtimeaom-av1: Speed 6 Two-Passaom-av1: Speed 8 Realtimesvt-vp9: VMAF Optimized - Bosphorus 1080psvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080psvt-vp9: Visual Quality Optimized - Bosphorus 1080psvt-hevc: 1 - Bosphorus 1080psvt-hevc: 7 - Bosphorus 1080psvt-hevc: 10 - Bosphorus 1080pbuild-mesa: Time To Compilebuild-nodejs: Time To Compilesimdjson: Kostyasimdjson: LargeRandsimdjson: PartialTweetssimdjson: DistinctUserID12325.5197.60041.22579.6676.012818.3302144.63404.51428.5452.5463.26033.7704.321207.662382.041542.3920015.111710.047148.5108913.72792.668765.366003990.012379.623992.292381.103.384134002.182382.713.4601037.2945633131.97593226132.7614374.260.235.9620.8317.0596.50149.76152.32119.955.4386.08185.0569.654596.4913.061.14.304.9225.5147.60141.21079.6796.024018.3402144.59184.50828.5762.5493.24033.9804.314667.735292.036992.3852115.120710.08078.5192713.81422.659835.316713998.992403.363996.072394.463.378493995.942397.833.4749438.2099012131.81848125903.8914373.470.235.9720.6717.0996.22149.49151.96120.035.4486.61185.2569.689596.9703.051.14.294.9225.3657.60341.22179.6626.015218.2889143.53194.45228.4712.5593.23133.9284.280257.476842.013972.3927915.07839.981488.5228213.84212.659065.363983986.562374.753987.232372.733.395583987.152372.193.4645937.7690824132.99721326135.3114375.350.235.9720.7517.0696.59149.77152.34120.005.4486.69184.6969.808597.2163.051.14.294.92OpenBenchmarking.org

Basis Universal

Settings: ETC1S

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.13Settings: ETC1S123612182430SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 325.5225.5125.371. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

Basis Universal

Settings: UASTC Level 0

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.13Settings: UASTC Level 0123246810SE +/- 0.004, N = 3SE +/- 0.004, N = 3SE +/- 0.004, N = 37.6007.6017.6031. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

Basis Universal

Settings: UASTC Level 2

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.13Settings: UASTC Level 2123918273645SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 341.2341.2141.221. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

Basis Universal

Settings: UASTC Level 3

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.13Settings: UASTC Level 312320406080100SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 379.6779.6879.661. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

ASTC Encoder

Preset: Medium

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.4Preset: Medium123246810SE +/- 0.0064, N = 3SE +/- 0.0013, N = 3SE +/- 0.0018, N = 36.01286.02406.01521. (CXX) g++ options: -O3 -flto -pthread

ASTC Encoder

Preset: Thorough

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.4Preset: Thorough123510152025SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 318.3318.3418.291. (CXX) g++ options: -O3 -flto -pthread

ASTC Encoder

Preset: Exhaustive

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.4Preset: Exhaustive123306090120150SE +/- 0.22, N = 3SE +/- 0.26, N = 3SE +/- 0.30, N = 3144.63144.59143.531. (CXX) g++ options: -O3 -flto -pthread

Mobile Neural Network

Model: SqueezeNetV1.0

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.3Model: SqueezeNetV1.01231.01572.03143.04714.06285.0785SE +/- 0.010, N = 3SE +/- 0.007, N = 3SE +/- 0.004, N = 34.5144.5084.452MIN: 4.43 / MAX: 7.13MIN: 4.45 / MAX: 5.33MIN: 4.37 / MAX: 7.171. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Mobile Neural Network

Model: resnet-v2-50

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.3Model: resnet-v2-50123714212835SE +/- 0.10, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 328.5528.5828.47MIN: 28.18 / MAX: 40.29MIN: 28.26 / MAX: 40.34MIN: 28.25 / MAX: 40.281. (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

Mobile Neural Network

Model: MobileNetV2_224

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.3Model: MobileNetV2_2241230.57581.15161.72742.30322.879SE +/- 0.012, N = 3SE +/- 0.011, N = 3SE +/- 0.018, N = 32.5462.5492.559MIN: 2.51 / MAX: 3.35MIN: 2.51 / MAX: 5.08MIN: 2.5 / MAX: 33.311. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Mobile Neural Network

Model: mobilenet-v1-1.0

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.3Model: mobilenet-v1-1.01230.73351.4672.20052.9343.6675SE +/- 0.011, N = 3SE +/- 0.002, N = 3SE +/- 0.017, N = 33.2603.2403.231MIN: 3.22 / MAX: 4.01MIN: 3.2 / MAX: 4.08MIN: 3.19 / MAX: 3.461. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Mobile Neural Network

Model: inception-v3

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.3Model: inception-v3123816243240SE +/- 0.04, N = 3SE +/- 0.16, N = 3SE +/- 0.19, N = 333.7733.9833.93MIN: 33.53 / MAX: 46.55MIN: 33.58 / MAX: 47.6MIN: 33.53 / MAX: 46.761. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU1230.97231.94462.91693.88924.8615SE +/- 0.00877, N = 3SE +/- 0.01586, N = 3SE +/- 0.01808, N = 34.321204.314664.28025MIN: 4.19MIN: 4.18MIN: 4.191. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU123246810SE +/- 0.01852, N = 3SE +/- 0.01377, N = 3SE +/- 0.01643, N = 37.662387.735297.47684MIN: 7.54MIN: 7.59MIN: 7.351. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU1230.45930.91861.37791.83722.2965SE +/- 0.00826, N = 3SE +/- 0.01080, N = 3SE +/- 0.00640, N = 32.041542.036992.01397MIN: 1.98MIN: 1.99MIN: 1.981. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU1230.53841.07681.61522.15362.692SE +/- 0.00743, N = 3SE +/- 0.00590, N = 3SE +/- 0.01182, N = 32.392002.385212.39279MIN: 2.34MIN: 2.31MIN: 2.331. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU12348121620SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 315.1115.1215.08MIN: 15.01MIN: 15.01MIN: 14.971. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU1233691215SE +/- 0.04868, N = 3SE +/- 0.02946, N = 3SE +/- 0.01007, N = 310.0471410.080709.98148MIN: 6.15MIN: 6.13MIN: 6.261. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU123246810SE +/- 0.00717, N = 3SE +/- 0.00726, N = 3SE +/- 0.00862, N = 38.510898.519278.52282MIN: 8.48MIN: 8.48MIN: 8.481. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU12348121620SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 313.7313.8113.84MIN: 13.46MIN: 13.46MIN: 13.461. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU1230.60051.2011.80152.4023.0025SE +/- 0.01467, N = 3SE +/- 0.00545, N = 3SE +/- 0.00456, N = 32.668762.659832.65906MIN: 2.63MIN: 2.63MIN: 2.631. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU1231.20742.41483.62224.82966.037SE +/- 0.01215, N = 3SE +/- 0.01565, N = 3SE +/- 0.00867, N = 35.366005.316715.36398MIN: 5.32MIN: 5.27MIN: 5.321. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU1239001800270036004500SE +/- 0.55, N = 3SE +/- 2.93, N = 3SE +/- 1.26, N = 33990.013998.993986.56MIN: 3986.86MIN: 3992.8MIN: 3980.861. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU1235001000150020002500SE +/- 2.92, N = 3SE +/- 4.31, N = 3SE +/- 1.89, N = 32379.622403.362374.75MIN: 2374.18MIN: 2396.19MIN: 2367.871. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU1239001800270036004500SE +/- 0.57, N = 3SE +/- 1.10, N = 3SE +/- 1.71, N = 33992.293996.073987.23MIN: 3987.88MIN: 3991.93MIN: 3981.341. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU1235001000150020002500SE +/- 2.74, N = 3SE +/- 0.97, N = 3SE +/- 1.29, N = 32381.102394.462372.73MIN: 2375.91MIN: 2391.28MIN: 2366.081. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU1230.7641.5282.2923.0563.82SE +/- 0.00246, N = 3SE +/- 0.00806, N = 3SE +/- 0.00477, N = 33.384133.378493.39558MIN: 3.33MIN: 3.31MIN: 3.331. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU1239001800270036004500SE +/- 9.00, N = 3SE +/- 1.20, N = 3SE +/- 1.18, N = 34002.183995.943987.15MIN: 3990.27MIN: 3991.84MIN: 3982.671. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU1235001000150020002500SE +/- 1.67, N = 3SE +/- 1.16, N = 3SE +/- 1.46, N = 32382.712397.832372.19MIN: 2377.54MIN: 2393.33MIN: 2367.541. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU1230.78191.56382.34573.12763.9095SE +/- 0.01319, N = 3SE +/- 0.00087, N = 3SE +/- 0.00212, N = 33.460103.474943.46459MIN: 3.26MIN: 3.28MIN: 3.271. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

Xcompact3d Incompact3d

Input: input.i3d 129 Cells Per Direction

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 129 Cells Per Direction123918273645SE +/- 0.36, N = 3SE +/- 0.07, N = 3SE +/- 0.35, N = 337.2938.2137.771. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

Xcompact3d Incompact3d

Input: input.i3d 193 Cells Per Direction

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 193 Cells Per Direction123306090120150SE +/- 1.07, N = 3SE +/- 1.01, N = 3SE +/- 0.15, N = 3131.98131.82133.001. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

Sysbench

Test: RAM / Memory

OpenBenchmarking.orgMiB/sec, More Is BetterSysbench 1.0.20Test: RAM / Memory1236K12K18K24K30KSE +/- 182.62, N = 3SE +/- 44.57, N = 3SE +/- 185.77, N = 326132.7625903.8926135.311. (CC) gcc options: -pthread -O2 -funroll-loops -rdynamic -ldl -laio -lm

Sysbench

Test: CPU

OpenBenchmarking.orgEvents Per Second, More Is BetterSysbench 1.0.20Test: CPU1233K6K9K12K15KSE +/- 1.10, N = 3SE +/- 1.54, N = 3SE +/- 0.21, N = 314374.2614373.4714375.351. (CC) gcc options: -pthread -O2 -funroll-loops -rdynamic -ldl -laio -lm

AOM AV1

Encoder Mode: Speed 0 Two-Pass

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.1-rcEncoder Mode: Speed 0 Two-Pass1230.05180.10360.15540.20720.259SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.230.230.231. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

AOM AV1

Encoder Mode: Speed 4 Two-Pass

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.1-rcEncoder Mode: Speed 4 Two-Pass1231.34332.68664.02995.37326.7165SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 35.965.975.971. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

AOM AV1

Encoder Mode: Speed 6 Realtime

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.1-rcEncoder Mode: Speed 6 Realtime123510152025SE +/- 0.08, N = 3SE +/- 0.15, N = 3SE +/- 0.11, N = 320.8320.6720.751. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

AOM AV1

Encoder Mode: Speed 6 Two-Pass

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.1-rcEncoder Mode: Speed 6 Two-Pass12348121620SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 317.0517.0917.061. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

AOM AV1

Encoder Mode: Speed 8 Realtime

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.1-rcEncoder Mode: Speed 8 Realtime12320406080100SE +/- 0.17, N = 3SE +/- 0.18, N = 3SE +/- 0.08, N = 396.5096.2296.591. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

SVT-VP9

Tuning: VMAF Optimized - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 1080p123306090120150SE +/- 0.29, N = 3SE +/- 0.06, N = 3SE +/- 0.12, N = 3149.76149.49149.771. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

SVT-VP9

Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p123306090120150SE +/- 0.28, N = 3SE +/- 0.11, N = 3SE +/- 0.29, N = 3152.32151.96152.341. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

SVT-VP9

Tuning: Visual Quality Optimized - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: Visual Quality Optimized - Input: Bosphorus 1080p123306090120150SE +/- 0.13, N = 3SE +/- 0.14, N = 3SE +/- 0.23, N = 3119.95120.03120.001. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

SVT-HEVC

Tuning: 1 - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 1 - Input: Bosphorus 1080p1231.2242.4483.6724.8966.12SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 35.435.445.441. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

SVT-HEVC

Tuning: 7 - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 7 - Input: Bosphorus 1080p12320406080100SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 386.0886.6186.691. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

SVT-HEVC

Tuning: 10 - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 10 - Input: Bosphorus 1080p1234080120160200SE +/- 0.05, N = 3SE +/- 0.38, N = 3SE +/- 0.38, N = 3185.05185.25184.691. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

Timed Mesa Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Mesa Compilation 21.0Time To Compile1231632486480SE +/- 0.18, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 369.6569.6969.81

Timed Node.js Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 15.11Time To Compile123130260390520650SE +/- 0.12, N = 3SE +/- 0.25, N = 3SE +/- 0.12, N = 3596.49596.97597.22

simdjson

Throughput Test: Kostya

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.8.2Throughput Test: Kostya1230.68851.3772.06552.7543.4425SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 33.063.053.051. (CXX) g++ options: -O3 -pthread

simdjson

Throughput Test: LargeRandom

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.8.2Throughput Test: LargeRandom1230.24750.4950.74250.991.2375SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.11.11.11. (CXX) g++ options: -O3 -pthread

simdjson

Throughput Test: PartialTweets

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.8.2Throughput Test: PartialTweets1230.96751.9352.90253.874.8375SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 34.304.294.291. (CXX) g++ options: -O3 -pthread

simdjson

Throughput Test: DistinctUserID

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.8.2Throughput Test: DistinctUserID1231.1072.2143.3214.4285.535SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 34.924.924.921. (CXX) g++ options: -O3 -pthread

Phoronix Test Suite v10.8.4