Core i7 8086K December 2020

Intel Core i7-8086K testing with a ASUS PRIME Z370-A (1802 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/2012192-HA-COREI780805.

Core i7 8086K December 2020ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen ResolutionCore i7 8086K23Intel Core i7-8086K @ 5.00GHz (6 Cores / 12 Threads)ASUS PRIME Z370-A (1802 BIOS)Intel 8th Gen Core8GB118GB INTEL SSDPEK1W120GAASUS Intel UHD 630 3GB (1200MHz)Realtek ALC1220G237HLIntel I219-VUbuntu 20.045.9.0-050900rc8daily20201009-generic (x86_64) 20201008GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.84.6 Mesa 20.0.81.2.131GCC 9.3.0ext41920x1080OpenBenchmarking.orgCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,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: 0xd6 - Thermald 1.9.1 Python Details- Python 2.7.18 + Python 3.8.5Security Details- itlb_multihit: KVM: Mitigation of VMX unsupported + l1tf: Mitigation of PTE Inversion + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + 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 generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Mitigation of Clear buffers; SMT vulnerable

Core i7 8086K December 2020vkfft: betsy: ETC1 - Highestbetsy: ETC2 RGB - Highestvkresample: 2x - Singleyquake2: OpenGL 1.x - 1920 x 1080yquake2: OpenGL 3.x - 1920 x 1080yquake2: Software CPU - 1920 x 1080hmmer: Pfam Database Searchsimdjson: Kostyasimdjson: LargeRandsimdjson: PartialTweetssimdjson: DistinctUserIDcompress-lz4: 1 - Compression Speedcompress-lz4: 1 - Decompression Speedcompress-lz4: 3 - Compression Speedcompress-lz4: 3 - Decompression Speedcompress-lz4: 9 - Compression Speedcompress-lz4: 9 - Decompression Speedcrafty: Elapsed Timeonednn: 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 - CPUrav1e: 1rav1e: 5rav1e: 6rav1e: 10coremark: CoreMark Size 666 - Iterations Per Secondstockfish: Total Timeasmfish: 1024 Hash Memory, 26 Depthbuild-ffmpeg: Time To Compilebuild2: Time To Compilenumpy: espeak: Text-To-Speech Synthesisnode-web-tooling: gromacs: Water Benchmarkastcenc: Fastastcenc: Mediumastcenc: Thoroughastcenc: Exhaustivebasis: ETC1Sbasis: UASTC Level 0basis: UASTC Level 2basis: UASTC Level 3basis: UASTC Level 2 + RDO Post-Processingsqlite-speedtest: Timed Time - Size 1,000redis: LPOPredis: SADDredis: LPUSHredis: GETredis: SETncnn: CPU - mobilenetncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU - shufflenet-v2ncnn: CPU - mnasnetncnn: CPU - efficientnet-b0ncnn: CPU - blazefacencnn: CPU - googlenetncnn: CPU - vgg16ncnn: CPU - resnet18ncnn: CPU - alexnetncnn: CPU - resnet50ncnn: CPU - yolov4-tinyncnn: CPU - squeezenet_ssdncnn: CPU - regnety_400mopenvino: Face Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP32 - CPUopenvino: Face Detection 0106 FP32 - CPUopenvino: Person Detection 0106 FP16 - CPUopenvino: Person Detection 0106 FP16 - CPUopenvino: Person Detection 0106 FP32 - CPUopenvino: Person Detection 0106 FP32 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP32 - CPUopenvino: Age Gender Recognition Retail 0013 FP32 - CPUindigobench: CPU - Bedroomindigobench: CPU - Supercarphpbench: PHP Benchmark Suitebrl-cad: VGR Performance MetricCore i7 8086K23149214.0915.423395.189389.1386.0128.1109.2020.80.500.730.759264.8111131.456.7210927.855.1610901.295354055.3932011.58672.329862.8652120.41976.9261811.164217.74346.978955.095664163.112369.214157.932336.003.900834154.692367.463.981480.4301.2481.6643.679272332.708089141725462136883075.336162.176428.2824.32513.830.7826.286.5540.83322.3852.8437.93343.82984.832665.16856.2233294042.672494505.622042281.383113080.422299389.0819.765.574.425.864.397.291.8615.5062.3115.0212.5330.1828.2220.5814.372.041950.272.011991.111.233222.361.213253.805282.430.755167.100.771.2893.016844169885901490390.753388.3386.0128.7109.1590.80.500.730.759268.9811119.456.3910854.555.1210919.795025285.0499311.76172.266612.4170320.62376.8077510.349717.89727.023344.195184242.022349.524231.182335.673.840244210.572333.763.946030.4331.2691.6743.735272948.997884143212212124665874.538158.681421.7624.40813.920.7866.316.5540.83322.3852.8217.93443.83384.847665.62855.9042912817.682559049.002047673.002905311.082313798.5819.705.554.405.834.377.301.8615.4362.2915.1012.5530.1728.2020.5414.242.021976.672.011987.811.223259.721.213254.964993.470.795185.010.771.2893.014845059884951492389.315385.0384.7128.2109.3130.80.490.730.759245.0211118.156.7810897.055.5210938.495461484.8481210.11552.167222.2308920.57086.375979.2493117.62766.790284.275444156.642295.534175.352300.803.869924167.112294.303.921250.4341.2691.6813.729275539.915770143114242143381374.369159.033419.9624.53313.980.7836.306.5640.82322.3753.1007.93143.82184.834664.98056.4172062495.462598540.832033000.992910217.922336882.8319.705.574.405.864.367.291.8715.4862.3615.0312.5430.1128.1620.5814.412.011971.112.011996.461.243206.791.213259.525484.010.725480.780.721.2903.02284306888574OpenBenchmarking.org

VkFFT

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 1.1.1Core i7 8086K2330060090012001500SE +/- 2.03, N = 3SE +/- 2.19, N = 3SE +/- 1.73, N = 31492149014921. (CXX) g++ options: -O3 -pthread

Betsy GPU Compressor

Codec: ETC1 - Quality: Highest

OpenBenchmarking.orgSeconds, Fewer Is BetterBetsy GPU Compressor 1.1 BetaCodec: ETC1 - Quality: HighestCore i7 8086K4812162014.091. (CXX) g++ options: -O3 -O2 -lpthread -ldl

Betsy GPU Compressor

Codec: ETC2 RGB - Quality: Highest

OpenBenchmarking.orgSeconds, Fewer Is BetterBetsy GPU Compressor 1.1 BetaCodec: ETC2 RGB - Quality: HighestCore i7 8086K1.22022.44043.66064.88086.1015.4231. (CXX) g++ options: -O3 -O2 -lpthread -ldl

VkResample

Upscale: 2x - Precision: Single

OpenBenchmarking.orgms, Fewer Is BetterVkResample 1.0Upscale: 2x - Precision: SingleCore i7 8086K2390180270360450SE +/- 0.50, N = 3SE +/- 0.39, N = 3SE +/- 1.02, N = 3395.19390.75389.321. (CXX) g++ options: -O3 -pthread

yquake2

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

OpenBenchmarking.orgFrames Per Second, More Is Betteryquake2 7.45Renderer: OpenGL 1.x - Resolution: 1920 x 1080Core i7 8086K2380160240320400SE +/- 0.44, N = 3SE +/- 0.30, N = 3SE +/- 2.79, N = 3389.1388.3385.01. (CC) gcc options: -lm -ldl -rdynamic -shared -lSDL2 -O2 -pipe -fomit-frame-pointer -std=gnu99 -fno-strict-aliasing -fwrapv -fvisibility=hidden -MMD -mfpmath=sse -fPIC

yquake2

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

OpenBenchmarking.orgFrames Per Second, More Is Betteryquake2 7.45Renderer: OpenGL 3.x - Resolution: 1920 x 1080Core i7 8086K2380160240320400SE +/- 1.00, N = 3SE +/- 1.30, N = 3SE +/- 1.86, N = 3386.0386.0384.71. (CC) gcc options: -lm -ldl -rdynamic -shared -lSDL2 -O2 -pipe -fomit-frame-pointer -std=gnu99 -fno-strict-aliasing -fwrapv -fvisibility=hidden -MMD -mfpmath=sse -fPIC

yquake2

Renderer: Software CPU - Resolution: 1920 x 1080

OpenBenchmarking.orgFrames Per Second, More Is Betteryquake2 7.45Renderer: Software CPU - Resolution: 1920 x 1080Core i7 8086K23306090120150SE +/- 0.24, N = 3SE +/- 0.35, N = 3SE +/- 0.26, N = 3128.1128.7128.21. (CC) gcc options: -lm -ldl -rdynamic -shared -lSDL2 -O2 -pipe -fomit-frame-pointer -std=gnu99 -fno-strict-aliasing -fwrapv -fvisibility=hidden -MMD -mfpmath=sse -fPIC

Timed HMMer Search

Pfam Database Search

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database SearchCore i7 8086K2320406080100SE +/- 0.07, N = 3SE +/- 0.16, N = 3SE +/- 0.04, N = 3109.20109.16109.311. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

simdjson

Throughput Test: Kostya

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: KostyaCore i7 8086K230.180.360.540.720.9SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.80.80.81. (CXX) g++ options: -O3 -pthread

simdjson

Throughput Test: LargeRandom

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: LargeRandomCore i7 8086K230.11250.2250.33750.450.5625SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.500.500.491. (CXX) g++ options: -O3 -pthread

simdjson

Throughput Test: PartialTweets

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: PartialTweetsCore i7 8086K230.16430.32860.49290.65720.8215SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.730.730.731. (CXX) g++ options: -O3 -pthread

simdjson

Throughput Test: DistinctUserID

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: DistinctUserIDCore i7 8086K230.16880.33760.50640.67520.844SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.750.750.751. (CXX) g++ options: -O3 -pthread

LZ4 Compression

Compression Level: 1 - Compression Speed

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Compression SpeedCore i7 8086K232K4K6K8K10KSE +/- 9.63, N = 3SE +/- 10.26, N = 3SE +/- 14.70, N = 39264.819268.989245.021. (CC) gcc options: -O3

LZ4 Compression

Compression Level: 1 - Decompression Speed

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Decompression SpeedCore i7 8086K232K4K6K8K10KSE +/- 40.15, N = 3SE +/- 6.37, N = 3SE +/- 4.18, N = 311131.411119.411118.11. (CC) gcc options: -O3

LZ4 Compression

Compression Level: 3 - Compression Speed

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Compression SpeedCore i7 8086K231326395265SE +/- 0.19, N = 3SE +/- 0.09, N = 3SE +/- 0.16, N = 356.7256.3956.781. (CC) gcc options: -O3

LZ4 Compression

Compression Level: 3 - Decompression Speed

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Decompression SpeedCore i7 8086K232K4K6K8K10KSE +/- 23.21, N = 3SE +/- 3.06, N = 3SE +/- 15.85, N = 310927.810854.510897.01. (CC) gcc options: -O3

LZ4 Compression

Compression Level: 9 - Compression Speed

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Compression SpeedCore i7 8086K231224364860SE +/- 0.05, N = 3SE +/- 0.11, N = 3SE +/- 0.01, N = 355.1655.1255.521. (CC) gcc options: -O3

LZ4 Compression

Compression Level: 9 - Decompression Speed

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Decompression SpeedCore i7 8086K232K4K6K8K10KSE +/- 18.82, N = 3SE +/- 6.32, N = 3SE +/- 3.09, N = 310901.210919.710938.41. (CC) gcc options: -O3

Crafty

Elapsed Time

OpenBenchmarking.orgNodes Per Second, More Is BetterCrafty 25.2Elapsed TimeCore i7 8086K232M4M6M8M10MSE +/- 14423.27, N = 3SE +/- 37609.26, N = 3SE +/- 41789.31, N = 39535405950252895461481. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPUCore i7 8086K231.21352.4273.64054.8546.0675SE +/- 0.04230, N = 15SE +/- 0.04373, N = 15SE +/- 0.06414, N = 55.393205.049934.84812MIN: 5MIN: 4.67MIN: 4.671. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: f32 - Engine: CPUCore i7 8086K233691215SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 311.5911.7610.12MIN: 11.17MIN: 11.55MIN: 9.951. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPUCore i7 8086K230.52421.04841.57262.09682.621SE +/- 0.01477, N = 3SE +/- 0.03228, N = 4SE +/- 0.00271, N = 32.329862.266612.16722MIN: 2.28MIN: 2.2MIN: 2.141. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPUCore i7 8086K230.64471.28941.93412.57883.2235SE +/- 0.04349, N = 3SE +/- 0.01066, N = 3SE +/- 0.02157, N = 32.865212.417032.23089MIN: 2.37MIN: 2.35MIN: 2.161. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUCore i7 8086K23510152025SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 320.4220.6220.57MIN: 20.29MIN: 20.53MIN: 20.471. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPUCore i7 8086K23246810SE +/- 0.09380, N = 3SE +/- 0.08418, N = 13SE +/- 0.00942, N = 36.926186.807756.37597MIN: 6.68MIN: 6.49MIN: 6.31. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPUCore i7 8086K233691215SE +/- 0.11808, N = 7SE +/- 0.13214, N = 3SE +/- 0.02606, N = 311.1642010.349709.24931MIN: 10.81MIN: 10.1MIN: 9.141. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUCore i7 8086K2348121620SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 317.7417.9017.63MIN: 17.55MIN: 17.66MIN: 17.411. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPUCore i7 8086K23246810SE +/- 0.03386, N = 3SE +/- 0.00726, N = 3SE +/- 0.00993, N = 36.978957.023346.79028MIN: 6.85MIN: 6.91MIN: 6.721. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPUCore i7 8086K231.14652.2933.43954.5865.7325SE +/- 0.06433, N = 15SE +/- 0.00688, N = 3SE +/- 0.00532, N = 35.095664.195184.27544MIN: 4.36MIN: 4.16MIN: 4.241. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUCore i7 8086K239001800270036004500SE +/- 29.66, N = 3SE +/- 3.43, N = 3SE +/- 7.12, N = 34163.114242.024156.64MIN: 4101.8MIN: 4144.36MIN: 4060.421. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUCore i7 8086K235001000150020002500SE +/- 20.65, N = 3SE +/- 8.54, N = 3SE +/- 1.48, N = 32369.212349.522295.53MIN: 2333.32MIN: 2279.11MIN: 2237.691. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPUCore i7 8086K239001800270036004500SE +/- 16.78, N = 3SE +/- 10.80, N = 3SE +/- 2.39, N = 34157.934231.184175.35MIN: 4129.79MIN: 4109MIN: 4074.691. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUCore i7 8086K235001000150020002500SE +/- 16.46, N = 3SE +/- 2.44, N = 3SE +/- 9.25, N = 32336.002335.672300.80MIN: 2300.54MIN: 2276.96MIN: 2231.071. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPUCore i7 8086K230.87771.75542.63313.51084.3885SE +/- 0.01245, N = 3SE +/- 0.00809, N = 3SE +/- 0.00905, N = 33.900833.840243.86992MIN: 3.83MIN: 3.77MIN: 3.811. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPUCore i7 8086K239001800270036004500SE +/- 22.24, N = 3SE +/- 6.62, N = 3SE +/- 6.62, N = 34154.694210.574167.11MIN: 4108.74MIN: 4094.61MIN: 4064.231. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPUCore i7 8086K235001000150020002500SE +/- 21.39, N = 3SE +/- 3.25, N = 3SE +/- 7.19, N = 32367.462333.762294.30MIN: 2325.68MIN: 2278.4MIN: 2227.461. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPUCore i7 8086K230.89581.79162.68743.58324.479SE +/- 0.00962, N = 3SE +/- 0.00254, N = 3SE +/- 0.00601, N = 33.981483.946033.92125MIN: 3.94MIN: 3.91MIN: 3.871. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

rav1e

Speed: 1

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 1Core i7 8086K230.09770.19540.29310.39080.4885SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 30.4300.4330.434

rav1e

Speed: 5

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 5Core i7 8086K230.28550.5710.85651.1421.4275SE +/- 0.009, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 31.2481.2691.269

rav1e

Speed: 6

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 6Core i7 8086K230.37820.75641.13461.51281.891SE +/- 0.003, N = 3SE +/- 0.005, N = 3SE +/- 0.001, N = 31.6641.6741.681

rav1e

Speed: 10

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 10Core i7 8086K230.84041.68082.52123.36164.202SE +/- 0.008, N = 3SE +/- 0.006, N = 3SE +/- 0.015, N = 33.6793.7353.729

Coremark

CoreMark Size 666 - Iterations Per Second

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondCore i7 8086K2360K120K180K240K300KSE +/- 2483.60, N = 3SE +/- 2091.63, N = 3SE +/- 468.87, N = 3272332.71272949.00275539.921. (CC) gcc options: -O2 -lrt" -lrt

Stockfish

Total Time

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 12Total TimeCore i7 8086K233M6M9M12M15MSE +/- 172983.09, N = 3SE +/- 241842.32, N = 3SE +/- 117283.38, N = 31417254614321221143114241. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++17 -pedantic -O3 -msse -msse3 -mpopcnt -msse4.1 -mssse3 -msse2 -flto -flto=jobserver

asmFish

1024 Hash Memory, 26 Depth

OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 DepthCore i7 8086K235M10M15M20M25MSE +/- 97289.11, N = 3SE +/- 202380.60, N = 3SE +/- 170869.49, N = 3213688302124665821433813

Timed FFmpeg Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To CompileCore i7 8086K2320406080100SE +/- 0.08, N = 3SE +/- 0.10, N = 3SE +/- 0.07, N = 375.3474.5474.37

Build2

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.13Time To CompileCore i7 8086K234080120160200SE +/- 0.07, N = 3SE +/- 0.29, N = 3SE +/- 0.60, N = 3162.18158.68159.03

Numpy Benchmark

OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkCore i7 8086K2390180270360450SE +/- 0.41, N = 3SE +/- 0.75, N = 3SE +/- 1.72, N = 3428.28421.76419.96

eSpeak-NG Speech Engine

Text-To-Speech Synthesis

OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech SynthesisCore i7 8086K23612182430SE +/- 0.18, N = 4SE +/- 0.10, N = 4SE +/- 0.03, N = 424.3324.4124.531. (CC) gcc options: -O2 -std=c99

Node.js V8 Web Tooling Benchmark

OpenBenchmarking.orgruns/s, More Is BetterNode.js V8 Web Tooling BenchmarkCore i7 8086K2348121620SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 313.8313.9213.981. Nodejs v10.19.0

GROMACS

Water Benchmark

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkCore i7 8086K230.17690.35380.53070.70760.8845SE +/- 0.004, N = 3SE +/- 0.001, N = 3SE +/- 0.005, N = 30.7820.7860.7831. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm

ASTC Encoder

Preset: Fast

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: FastCore i7 8086K23246810SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 36.286.316.301. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

ASTC Encoder

Preset: Medium

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: MediumCore i7 8086K23246810SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 36.556.556.561. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

ASTC Encoder

Preset: Thorough

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ThoroughCore i7 8086K23918273645SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 340.8340.8340.821. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

ASTC Encoder

Preset: Exhaustive

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ExhaustiveCore i7 8086K2370140210280350SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 3322.38322.38322.371. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

Basis Universal

Settings: ETC1S

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: ETC1SCore i7 8086K231224364860SE +/- 0.08, N = 3SE +/- 0.25, N = 3SE +/- 0.19, N = 352.8452.8253.101. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

Basis Universal

Settings: UASTC Level 0

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 0Core i7 8086K23246810SE +/- 0.001, N = 3SE +/- 0.003, N = 3SE +/- 0.004, N = 37.9337.9347.9311. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

Basis Universal

Settings: UASTC Level 2

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 2Core i7 8086K231020304050SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 343.8343.8343.821. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

Basis Universal

Settings: UASTC Level 3

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 3Core i7 8086K2320406080100SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 384.8384.8584.831. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

Basis Universal

Settings: UASTC Level 2 + RDO Post-Processing

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 2 + RDO Post-ProcessingCore i7 8086K23140280420560700SE +/- 0.28, N = 3SE +/- 0.42, N = 3SE +/- 0.06, N = 3665.17665.63664.981. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

SQLite Speedtest

Timed Time - Size 1,000

OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,000Core i7 8086K231326395265SE +/- 0.10, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 356.2255.9056.421. (CC) gcc options: -O2 -ldl -lz -lpthread

Redis

Test: LPOP

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: LPOPCore i7 8086K23700K1400K2100K2800K3500KSE +/- 15698.81, N = 3SE +/- 150679.42, N = 12SE +/- 15321.55, N = 33294042.672912817.682062495.461. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

Redis

Test: SADD

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SADDCore i7 8086K23600K1200K1800K2400K3000KSE +/- 60590.27, N = 12SE +/- 63371.62, N = 12SE +/- 21709.60, N = 32494505.622559049.002598540.831. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

Redis

Test: LPUSH

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: LPUSHCore i7 8086K23400K800K1200K1600K2000KSE +/- 35144.55, N = 3SE +/- 23548.51, N = 3SE +/- 38985.98, N = 122042281.382047673.002033000.991. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

Redis

Test: GET

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: GETCore i7 8086K23700K1400K2100K2800K3500KSE +/- 34095.03, N = 3SE +/- 26958.12, N = 3SE +/- 18501.09, N = 33113080.422905311.082910217.921. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

Redis

Test: SET

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SETCore i7 8086K23500K1000K1500K2000K2500KSE +/- 14022.61, N = 3SE +/- 28977.05, N = 3SE +/- 11330.49, N = 32299389.082313798.582336882.831. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

NCNN

Target: CPU - Model: mobilenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mobilenetCore i7 8086K23510152025SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 319.7619.7019.70MIN: 19.59 / MAX: 21.06MIN: 19.61 / MAX: 21.35MIN: 19.58 / MAX: 21.371. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2 - Model: mobilenet-v2Core i7 8086K231.25332.50663.75995.01326.2665SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 35.575.555.57MIN: 5.45 / MAX: 6.65MIN: 5.47 / MAX: 5.69MIN: 5.47 / MAX: 6.591. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3 - Model: mobilenet-v3Core i7 8086K230.99451.9892.98353.9784.9725SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 34.424.404.40MIN: 4.38 / MAX: 5.48MIN: 4.36 / MAX: 4.52MIN: 4.36 / MAX: 5.421. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: shufflenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: shufflenet-v2Core i7 8086K231.31852.6373.95555.2746.5925SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 35.865.835.86MIN: 5.81 / MAX: 7.25MIN: 5.77 / MAX: 14.1MIN: 5.79 / MAX: 6.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mnasnetCore i7 8086K230.98781.97562.96343.95124.939SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 24.394.374.36MIN: 4.34 / MAX: 5.75MIN: 4.33 / MAX: 5.04MIN: 4.33 / MAX: 5.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: efficientnet-b0

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: efficientnet-b0Core i7 8086K23246810SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 37.297.307.29MIN: 7.26 / MAX: 8.57MIN: 7.25 / MAX: 10.19MIN: 7.24 / MAX: 8.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: blazefaceCore i7 8086K230.42080.84161.26241.68322.104SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 31.861.861.87MIN: 1.83 / MAX: 2.13MIN: 1.83 / MAX: 1.93MIN: 1.85 / MAX: 1.921. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: googlenetCore i7 8086K2348121620SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 315.5015.4315.48MIN: 15.34 / MAX: 17.62MIN: 15.35 / MAX: 23.82MIN: 15.32 / MAX: 25.21. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: vgg16Core i7 8086K231428425670SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 362.3162.2962.36MIN: 62.14 / MAX: 64.4MIN: 62.14 / MAX: 71.64MIN: 62.2 / MAX: 71.951. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: resnet18

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet18Core i7 8086K2348121620SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 315.0215.1015.03MIN: 14.9 / MAX: 15.17MIN: 15.02 / MAX: 16.62MIN: 14.94 / MAX: 16.591. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: alexnetCore i7 8086K233691215SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 312.5312.5512.54MIN: 12.46 / MAX: 13.91MIN: 12.47 / MAX: 12.63MIN: 12.47 / MAX: 12.641. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet50Core i7 8086K23714212835SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 330.1830.1730.11MIN: 29.97 / MAX: 40.25MIN: 29.99 / MAX: 32.02MIN: 29.88 / MAX: 30.481. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: yolov4-tiny

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: yolov4-tinyCore i7 8086K23714212835SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 328.2228.2028.16MIN: 28.08 / MAX: 47.49MIN: 28.09 / MAX: 38.14MIN: 28.06 / MAX: 35.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: squeezenet_ssd

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: squeezenet_ssdCore i7 8086K23510152025SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 320.5820.5420.58MIN: 20.47 / MAX: 22.07MIN: 20.44 / MAX: 21.96MIN: 20.49 / MAX: 22.921. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: regnety_400m

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: regnety_400mCore i7 8086K2348121620SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 314.3714.2414.41MIN: 14.25 / MAX: 16.74MIN: 14.1 / MAX: 14.42MIN: 14.15 / MAX: 14.61. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenVINO

Model: Face Detection 0106 FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPUCore i7 8086K230.4590.9181.3771.8362.295SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 32.042.022.011. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenVINO

Model: Face Detection 0106 FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPUCore i7 8086K23400800120016002000SE +/- 10.56, N = 3SE +/- 18.57, N = 3SE +/- 11.53, N = 31950.271976.671971.111. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenVINO

Model: Face Detection 0106 FP32 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPUCore i7 8086K230.45230.90461.35691.80922.2615SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 32.012.012.011. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenVINO

Model: Face Detection 0106 FP32 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPUCore i7 8086K23400800120016002000SE +/- 17.41, N = 3SE +/- 13.18, N = 3SE +/- 8.35, N = 31991.111987.811996.461. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenVINO

Model: Person Detection 0106 FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPUCore i7 8086K230.2790.5580.8371.1161.395SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 31.231.221.241. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenVINO

Model: Person Detection 0106 FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPUCore i7 8086K237001400210028003500SE +/- 5.20, N = 3SE +/- 11.24, N = 3SE +/- 14.77, N = 33222.363259.723206.791. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenVINO

Model: Person Detection 0106 FP32 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPUCore i7 8086K230.27230.54460.81691.08921.3615SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 31.211.211.211. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenVINO

Model: Person Detection 0106 FP32 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPUCore i7 8086K237001400210028003500SE +/- 9.25, N = 3SE +/- 5.00, N = 3SE +/- 4.01, N = 33253.803254.963259.521. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUCore i7 8086K2312002400360048006000SE +/- 57.29, N = 3SE +/- 30.20, N = 3SE +/- 12.10, N = 35282.434993.475484.011. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUCore i7 8086K230.17780.35560.53340.71120.889SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 30.750.790.721. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenVINO

Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPUCore i7 8086K2312002400360048006000SE +/- 17.36, N = 3SE +/- 9.92, N = 3SE +/- 40.16, N = 35167.105185.015480.781. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenVINO

Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPUCore i7 8086K230.17330.34660.51990.69320.8665SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 30.770.770.721. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

IndigoBench

Acceleration: CPU - Scene: Bedroom

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: BedroomCore i7 8086K230.29030.58060.87091.16121.4515SE +/- 0.000, N = 3SE +/- 0.003, N = 3SE +/- 0.002, N = 31.2891.2891.290

IndigoBench

Acceleration: CPU - Scene: Supercar

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: SupercarCore i7 8086K230.681.362.042.723.4SE +/- 0.008, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 33.0163.0143.022

PHPBench

PHP Benchmark Suite

OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark SuiteCore i7 8086K23200K400K600K800K1000KSE +/- 986.57, N = 3SE +/- 365.01, N = 3SE +/- 1279.76, N = 3844169845059843068

BRL-CAD

VGR Performance Metric

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.30.8VGR Performance MetricCore i7 8086K2320K40K60K80K100K8859088495885741. (CXX) g++ options: -std=c++11 -pipe -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -pedantic -rdynamic -lSM -lICE -lXi -lGLU -lGL -lGLdispatch -lX11 -lXext -lXrender -lpthread -ldl -luuid -lm

Phoronix Test Suite v10.8.4