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&gru.

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 RKLsysbench: CPUaom-av1: Speed 0 Two-Passaom-av1: Speed 4 Two-Passaom-av1: Speed 6 Realtimeaom-av1: Speed 6 Two-Passaom-av1: Speed 8 Realtimesvt-hevc: 1 - Bosphorus 1080psvt-hevc: 7 - Bosphorus 1080psvt-hevc: 10 - Bosphorus 1080psvt-vp9: VMAF Optimized - Bosphorus 1080psvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080psvt-vp9: Visual Quality Optimized - Bosphorus 1080psimdjson: Kostyasimdjson: LargeRandsimdjson: PartialTweetssimdjson: DistinctUserIDsysbench: RAM / Memoryonednn: 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 - CPUmnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3incompact3d: input.i3d 129 Cells Per Directionincompact3d: input.i3d 193 Cells Per Directionbuild-mesa: Time To Compilebuild-nodejs: Time To Compileastcenc: Mediumastcenc: Thoroughastcenc: Exhaustivebasis: ETC1Sbasis: UASTC Level 0basis: UASTC Level 2basis: UASTC Level 312314374.260.235.9620.8317.0596.505.4386.08185.05149.76152.32119.953.061.14.304.9226132.764.321207.662382.041542.3920015.111710.047148.5108913.72792.668765.366003990.012379.623992.292381.103.384134002.182382.713.460104.51428.5452.5463.26033.77037.2945633131.97593269.654596.4916.012818.3302144.634025.5197.60041.22579.66714373.470.235.9720.6717.0996.225.4486.61185.25149.49151.96120.033.051.14.294.9225903.894.314667.735292.036992.3852115.120710.08078.5192713.81422.659835.316713998.992403.363996.072394.463.378493995.942397.833.474944.50828.5762.5493.24033.98038.2099012131.81848169.689596.9706.024018.3402144.591825.5147.60141.21079.67914375.350.235.9720.7517.0696.595.4486.69184.69149.77152.34120.003.051.14.294.9226135.314.280257.476842.013972.3927915.07839.981488.5228213.84212.659065.363983986.562374.753987.232372.733.395583987.152372.193.464594.45228.4712.5593.23133.92837.7690824132.99721369.808597.2166.015218.2889143.531925.3657.60341.22179.662OpenBenchmarking.org

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-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

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

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

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

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

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

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

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

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

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

Phoronix Test Suite v10.8.4