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&grr&sor.

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: basis: UASTC Level 2 + RDO Post-Processingastcenc: Exhaustivebrl-cad: VGR Performance Metricgromacs: Water Benchmarknumpy: asmfish: 1024 Hash Memory, 26 Depthbuild2: Time To Compilehmmer: Pfam Database Searchonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUbasis: UASTC Level 3onednn: Recurrent Neural Network Inference - f32 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUbuild-ffmpeg: Time To Compileopenvino: Person Detection 0106 FP16 - CPUopenvino: Person Detection 0106 FP16 - CPUopenvino: Person Detection 0106 FP32 - CPUopenvino: Person Detection 0106 FP32 - CPUncnn: CPU - regnety_400mncnn: CPU - squeezenet_ssdncnn: CPU - yolov4-tinyncnn: CPU - resnet50ncnn: CPU - alexnetncnn: CPU - resnet18ncnn: CPU - vgg16ncnn: CPU - googlenetncnn: CPU - blazefacencnn: CPU - efficientnet-b0ncnn: CPU - mnasnetncnn: CPU - shufflenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU - mobilenetopenvino: Face Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP32 - CPUopenvino: Face Detection 0106 FP32 - CPUsimdjson: Kostyanode-web-tooling: stockfish: Total Timeindigobench: CPU - Bedroomindigobench: CPU - Supercaropenvino: 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 - CPUonednn: IP Shapes 1D - f32 - CPUsqlite-speedtest: Timed Time - Size 1,000compress-lz4: 9 - Decompression Speedcompress-lz4: 9 - Compression Speedcompress-lz4: 3 - Decompression Speedcompress-lz4: 3 - Compression Speedsimdjson: LargeRandbasis: ETC1Ssimdjson: PartialTweetssimdjson: DistinctUserIDrav1e: 5rav1e: 1vkresample: 2x - Singleastcenc: Thoroughonednn: Deconvolution Batch shapes_1d - f32 - CPUbasis: UASTC Level 2rav1e: 6espeak: Text-To-Speech Synthesisredis: SADDcompress-lz4: 1 - Decompression Speedcompress-lz4: 1 - Compression Speedcoremark: CoreMark Size 666 - Iterations Per Secondrav1e: 10phpbench: PHP Benchmark Suiteonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUredis: LPUSHredis: LPOPcrafty: Elapsed Timeonednn: IP Shapes 1D - u8s8f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUredis: SETredis: GETastcenc: Mediumonednn: IP Shapes 3D - u8s8f32 - CPUonednn: IP Shapes 3D - f32 - CPUbasis: UASTC Level 0onednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUbetsy: ETC1 - Highestonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUastcenc: Fastyquake2: Software CPU - 1920 x 1080onednn: Deconvolution Batch shapes_3d - f32 - CPUbetsy: ETC2 RGB - Highestyquake2: OpenGL 3.x - 1920 x 1080yquake2: OpenGL 1.x - 1920 x 1080Core i7 8086K231492665.168322.38885900.782428.2821368830162.176109.2024163.114157.934154.6984.8322369.212367.462336.0075.3363222.361.233253.801.2114.3720.5828.2230.1812.5315.0262.3115.501.867.294.395.864.425.5719.761950.272.041991.112.010.813.83141725461.2893.0160.755282.430.775167.105.3932056.22310901.255.1610927.856.720.5052.8430.730.751.2480.430395.18940.836.9261843.8291.66424.3252494505.6211131.49264.81272332.7080893.6798441696.978952042281.383294042.6795354052.329863.900833.981482299389.083113080.426.552.8652111.58677.9335.0956614.09117.743420.41976.28128.111.16425.423386.0389.11490665.628322.38884950.786421.7621246658158.681109.1594242.024231.184210.5784.8472349.522333.762335.6774.5383259.721.223254.961.2114.2420.5428.2030.1712.5515.1062.2915.431.867.304.375.834.405.5519.701976.672.021987.812.010.813.92143212211.2893.0140.794993.470.775185.015.0499355.90410919.755.1210854.556.390.5052.8210.730.751.2690.433390.75340.836.8077543.8331.67424.4082559049.0011119.49268.98272948.9978843.7358450597.023342047673.002912817.6895025282.266613.840243.946032313798.582905311.086.552.4170311.76177.9344.1951817.897220.62376.31128.710.3497386.0388.31492664.980322.37885740.783419.9621433813159.033109.3134156.644175.354167.1184.8342295.532294.302300.8074.3693206.791.243259.521.2114.4120.5828.1630.1112.5415.0362.3615.481.877.294.365.864.405.5719.701971.112.011996.462.010.813.98143114241.2903.0220.725484.010.725480.784.8481256.41710938.455.5210897.056.780.4953.1000.730.751.2690.434389.31540.826.3759743.8211.68124.5332598540.8311118.19245.02275539.9157703.7298430686.790282033000.992062495.4695461482.167223.869923.921252336882.832910217.926.562.2308910.11557.9314.2754417.627620.57086.30128.29.24931384.7385.0OpenBenchmarking.org

VkFFT

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 1.1.13Core i7 8086K230060090012001500SE +/- 1.73, N = 3SE +/- 2.03, N = 3SE +/- 2.19, N = 31492149214901. (CXX) g++ options: -O3 -pthread

Basis Universal

Settings: UASTC Level 2 + RDO Post-Processing

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 2 + RDO Post-Processing3Core i7 8086K2140280420560700SE +/- 0.06, N = 3SE +/- 0.28, N = 3SE +/- 0.42, N = 3664.98665.17665.631. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

ASTC Encoder

Preset: Exhaustive

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Exhaustive3Core i7 8086K270140210280350SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 3322.37322.38322.381. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

BRL-CAD

VGR Performance Metric

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.30.8VGR Performance MetricCore i7 8086K3220K40K60K80K100K8859088574884951. (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

GROMACS

Water Benchmark

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water Benchmark23Core i7 8086K0.17690.35380.53070.70760.8845SE +/- 0.001, N = 3SE +/- 0.005, N = 3SE +/- 0.004, N = 30.7860.7830.7821. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm

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

asmFish

1024 Hash Memory, 26 Depth

OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 Depth3Core i7 8086K25M10M15M20M25MSE +/- 170869.49, N = 3SE +/- 97289.11, N = 3SE +/- 202380.60, N = 3214338132136883021246658

Build2

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.13Time To Compile23Core i7 8086K4080120160200SE +/- 0.29, N = 3SE +/- 0.60, N = 3SE +/- 0.07, N = 3158.68159.03162.18

Timed HMMer Search

Pfam Database Search

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database Search2Core i7 8086K320406080100SE +/- 0.16, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 3109.16109.20109.311. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

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: CPU3Core i7 8086K29001800270036004500SE +/- 7.12, N = 3SE +/- 29.66, N = 3SE +/- 3.43, N = 34156.644163.114242.02MIN: 4060.42MIN: 4101.8MIN: 4144.361. (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 8086K329001800270036004500SE +/- 16.78, N = 3SE +/- 2.39, N = 3SE +/- 10.80, N = 34157.934175.354231.18MIN: 4129.79MIN: 4074.69MIN: 41091. (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 8086K329001800270036004500SE +/- 22.24, N = 3SE +/- 6.62, N = 3SE +/- 6.62, N = 34154.694167.114210.57MIN: 4108.74MIN: 4064.23MIN: 4094.611. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Basis Universal

Settings: UASTC Level 3

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 3Core i7 8086K3220406080100SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 384.8384.8384.851. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -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: CPU32Core i7 8086K5001000150020002500SE +/- 1.48, N = 3SE +/- 8.54, N = 3SE +/- 20.65, N = 32295.532349.522369.21MIN: 2237.69MIN: 2279.11MIN: 2333.321. (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: CPU32Core i7 8086K5001000150020002500SE +/- 7.19, N = 3SE +/- 3.25, N = 3SE +/- 21.39, N = 32294.302333.762367.46MIN: 2227.46MIN: 2278.4MIN: 2325.681. (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: CPU32Core i7 8086K5001000150020002500SE +/- 9.25, N = 3SE +/- 2.44, N = 3SE +/- 16.46, N = 32300.802335.672336.00MIN: 2231.07MIN: 2276.96MIN: 2300.541. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Timed FFmpeg Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To Compile32Core i7 8086K20406080100SE +/- 0.07, N = 3SE +/- 0.10, N = 3SE +/- 0.08, N = 374.3774.5475.34

OpenVINO

Model: Person Detection 0106 FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPU3Core i7 8086K27001400210028003500SE +/- 14.77, N = 3SE +/- 5.20, N = 3SE +/- 11.24, N = 33206.793222.363259.721. (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: CPU3Core i7 8086K20.2790.5580.8371.1161.395SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 31.241.231.221. (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: Person Detection 0106 FP32 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPU32Core i7 8086K0.27230.54460.81691.08921.3615SE +/- 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

NCNN

Target: CPU - Model: regnety_400m

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: regnety_400m2Core i7 8086K348121620SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.08, N = 314.2414.3714.41MIN: 14.1 / MAX: 14.42MIN: 14.25 / MAX: 16.74MIN: 14.15 / MAX: 14.61. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: squeezenet_ssd

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: squeezenet_ssd2Core i7 8086K3510152025SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 320.5420.5820.58MIN: 20.44 / MAX: 21.96MIN: 20.47 / MAX: 22.07MIN: 20.49 / MAX: 22.921. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: yolov4-tiny

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: yolov4-tiny32Core i7 8086K714212835SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 328.1628.2028.22MIN: 28.06 / MAX: 35.34MIN: 28.09 / MAX: 38.14MIN: 28.08 / MAX: 47.491. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet5032Core i7 8086K714212835SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 330.1130.1730.18MIN: 29.88 / MAX: 30.48MIN: 29.99 / MAX: 32.02MIN: 29.97 / MAX: 40.251. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: alexnetCore i7 8086K323691215SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 312.5312.5412.55MIN: 12.46 / MAX: 13.91MIN: 12.47 / MAX: 12.64MIN: 12.47 / MAX: 12.631. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: resnet18

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet18Core i7 8086K3248121620SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 315.0215.0315.10MIN: 14.9 / MAX: 15.17MIN: 14.94 / MAX: 16.59MIN: 15.02 / MAX: 16.621. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: vgg162Core i7 8086K31428425670SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 362.2962.3162.36MIN: 62.14 / MAX: 71.64MIN: 62.14 / MAX: 64.4MIN: 62.2 / MAX: 71.951. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: googlenet23Core i7 8086K48121620SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 315.4315.4815.50MIN: 15.35 / MAX: 23.82MIN: 15.32 / MAX: 25.2MIN: 15.34 / MAX: 17.621. (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: efficientnet-b0

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: efficientnet-b0Core i7 8086K32246810SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 37.297.297.30MIN: 7.26 / MAX: 8.57MIN: 7.24 / MAX: 8.83MIN: 7.25 / MAX: 10.191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mnasnet32Core i7 8086K0.98781.97562.96343.95124.939SE +/- 0.00, N = 2SE +/- 0.01, N = 3SE +/- 0.01, N = 34.364.374.39MIN: 4.33 / MAX: 5.32MIN: 4.33 / MAX: 5.04MIN: 4.34 / MAX: 5.751. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: shufflenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: shufflenet-v22Core i7 8086K31.31852.6373.95555.2746.5925SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 35.835.865.86MIN: 5.77 / MAX: 14.1MIN: 5.81 / MAX: 7.25MIN: 5.79 / MAX: 6.861. (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-v323Core i7 8086K0.99451.9892.98353.9784.9725SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 34.404.404.42MIN: 4.36 / MAX: 4.52MIN: 4.36 / MAX: 5.42MIN: 4.38 / MAX: 5.481. (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-v22Core i7 8086K31.25332.50663.75995.01326.2665SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 35.555.575.57MIN: 5.47 / MAX: 5.69MIN: 5.45 / MAX: 6.65MIN: 5.47 / MAX: 6.591. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: mobilenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mobilenet23Core i7 8086K510152025SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 319.7019.7019.76MIN: 19.61 / MAX: 21.35MIN: 19.58 / MAX: 21.37MIN: 19.59 / MAX: 21.061. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenVINO

Model: Face Detection 0106 FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPUCore i7 8086K32400800120016002000SE +/- 10.56, N = 3SE +/- 11.53, N = 3SE +/- 18.57, N = 31950.271971.111976.671. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -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 FP32 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPU2Core i7 8086K3400800120016002000SE +/- 13.18, N = 3SE +/- 17.41, N = 3SE +/- 8.35, N = 31987.811991.111996.461. (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: CPU32Core i7 8086K0.45230.90461.35691.80922.2615SE +/- 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

simdjson

Throughput Test: Kostya

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: Kostya32Core i7 8086K0.180.360.540.720.9SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.80.80.81. (CXX) g++ options: -O3 -pthread

Node.js V8 Web Tooling Benchmark

OpenBenchmarking.orgruns/s, More Is BetterNode.js V8 Web Tooling Benchmark32Core i7 8086K48121620SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 313.9813.9213.831. Nodejs v10.19.0

Stockfish

Total Time

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 12Total Time23Core i7 8086K3M6M9M12M15MSE +/- 241842.32, N = 3SE +/- 117283.38, N = 3SE +/- 172983.09, N = 31432122114311424141725461. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++17 -pedantic -O3 -msse -msse3 -mpopcnt -msse4.1 -mssse3 -msse2 -flto -flto=jobserver

IndigoBench

Acceleration: CPU - Scene: Bedroom

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: Bedroom32Core i7 8086K0.29030.58060.87091.16121.4515SE +/- 0.002, N = 3SE +/- 0.003, N = 3SE +/- 0.000, N = 31.2901.2891.289

IndigoBench

Acceleration: CPU - Scene: Supercar

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: Supercar3Core i7 8086K20.681.362.042.723.4SE +/- 0.002, N = 3SE +/- 0.008, N = 3SE +/- 0.002, N = 33.0223.0163.014

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU3Core i7 8086K20.17780.35560.53340.71120.889SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 30.720.750.791. (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: CPU3Core i7 8086K212002400360048006000SE +/- 12.10, N = 3SE +/- 57.29, N = 3SE +/- 30.20, N = 35484.015282.434993.471. (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: CPU3Core i7 8086K20.17330.34660.51990.69320.8665SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.720.770.771. (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: CPU32Core i7 8086K12002400360048006000SE +/- 40.16, N = 3SE +/- 9.92, N = 3SE +/- 17.36, N = 35480.785185.015167.101. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU32Core i7 8086K1.21352.4273.64054.8546.0675SE +/- 0.06414, N = 5SE +/- 0.04373, N = 15SE +/- 0.04230, N = 154.848125.049935.39320MIN: 4.67MIN: 4.67MIN: 51. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

SQLite Speedtest

Timed Time - Size 1,000

OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,0002Core i7 8086K31326395265SE +/- 0.06, N = 3SE +/- 0.10, N = 3SE +/- 0.05, N = 355.9056.2256.421. (CC) gcc options: -O2 -ldl -lz -lpthread

LZ4 Compression

Compression Level: 9 - Decompression Speed

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Decompression Speed32Core i7 8086K2K4K6K8K10KSE +/- 3.09, N = 3SE +/- 6.32, N = 3SE +/- 18.82, N = 310938.410919.710901.21. (CC) gcc options: -O3

LZ4 Compression

Compression Level: 9 - Compression Speed

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Compression Speed3Core i7 8086K21224364860SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.11, N = 355.5255.1655.121. (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 8086K322K4K6K8K10KSE +/- 23.21, N = 3SE +/- 15.85, N = 3SE +/- 3.06, N = 310927.810897.010854.51. (CC) gcc options: -O3

LZ4 Compression

Compression Level: 3 - Compression Speed

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Compression Speed3Core i7 8086K21326395265SE +/- 0.16, N = 3SE +/- 0.19, N = 3SE +/- 0.09, N = 356.7856.7256.391. (CC) gcc options: -O3

simdjson

Throughput Test: LargeRandom

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: LargeRandom2Core i7 8086K30.11250.2250.33750.450.5625SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.500.500.491. (CXX) g++ options: -O3 -pthread

Basis Universal

Settings: ETC1S

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: ETC1S2Core i7 8086K31224364860SE +/- 0.25, N = 3SE +/- 0.08, N = 3SE +/- 0.19, N = 352.8252.8453.101. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

simdjson

Throughput Test: PartialTweets

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: PartialTweets32Core i7 8086K0.16430.32860.49290.65720.8215SE +/- 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: DistinctUserID32Core i7 8086K0.16880.33760.50640.67520.844SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.750.750.751. (CXX) g++ options: -O3 -pthread

rav1e

Speed: 5

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 532Core i7 8086K0.28550.5710.85651.1421.4275SE +/- 0.002, N = 3SE +/- 0.002, N = 3SE +/- 0.009, N = 31.2691.2691.248

rav1e

Speed: 1

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 132Core i7 8086K0.09770.19540.29310.39080.4885SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 30.4340.4330.430

VkResample

Upscale: 2x - Precision: Single

OpenBenchmarking.orgms, Fewer Is BetterVkResample 1.0Upscale: 2x - Precision: Single32Core i7 8086K90180270360450SE +/- 1.02, N = 3SE +/- 0.39, N = 3SE +/- 0.50, N = 3389.32390.75395.191. (CXX) g++ options: -O3 -pthread

ASTC Encoder

Preset: Thorough

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Thorough3Core i7 8086K2918273645SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 340.8240.8340.831. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -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: CPU32Core i7 8086K246810SE +/- 0.00942, N = 3SE +/- 0.08418, N = 13SE +/- 0.09380, N = 36.375976.807756.92618MIN: 6.3MIN: 6.49MIN: 6.681. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Basis Universal

Settings: UASTC Level 2

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 23Core i7 8086K21020304050SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 343.8243.8343.831. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

rav1e

Speed: 6

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 632Core i7 8086K0.37820.75641.13461.51281.891SE +/- 0.001, N = 3SE +/- 0.005, N = 3SE +/- 0.003, N = 31.6811.6741.664

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

Redis

Test: SADD

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SADD32Core i7 8086K600K1200K1800K2400K3000KSE +/- 21709.60, N = 3SE +/- 63371.62, N = 12SE +/- 60590.27, N = 122598540.832559049.002494505.621. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -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: 1 - Compression Speed

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Compression Speed2Core i7 8086K32K4K6K8K10KSE +/- 10.26, N = 3SE +/- 9.63, N = 3SE +/- 14.70, N = 39268.989264.819245.021. (CC) gcc options: -O3

Coremark

CoreMark Size 666 - Iterations Per Second

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per Second32Core i7 8086K60K120K180K240K300KSE +/- 468.87, N = 3SE +/- 2091.63, N = 3SE +/- 2483.60, N = 3275539.92272949.00272332.711. (CC) gcc options: -O2 -lrt" -lrt

rav1e

Speed: 10

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 1023Core i7 8086K0.84041.68082.52123.36164.202SE +/- 0.006, N = 3SE +/- 0.015, N = 3SE +/- 0.008, N = 33.7353.7293.679

PHPBench

PHP Benchmark Suite

OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark Suite2Core i7 8086K3200K400K600K800K1000KSE +/- 365.01, N = 3SE +/- 986.57, N = 3SE +/- 1279.76, N = 3845059844169843068

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: CPU3Core i7 8086K2246810SE +/- 0.00993, N = 3SE +/- 0.03386, N = 3SE +/- 0.00726, N = 36.790286.978957.02334MIN: 6.72MIN: 6.85MIN: 6.911. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Redis

Test: LPUSH

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: LPUSH2Core i7 8086K3400K800K1200K1600K2000KSE +/- 23548.51, N = 3SE +/- 35144.55, N = 3SE +/- 38985.98, N = 122047673.002042281.382033000.991. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

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

Crafty

Elapsed Time

OpenBenchmarking.orgNodes Per Second, More Is BetterCrafty 25.2Elapsed Time3Core i7 8086K22M4M6M8M10MSE +/- 41789.31, N = 3SE +/- 14423.27, N = 3SE +/- 37609.26, N = 39546148953540595025281. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU32Core i7 8086K0.52421.04841.57262.09682.621SE +/- 0.00271, N = 3SE +/- 0.03228, N = 4SE +/- 0.01477, N = 32.167222.266612.32986MIN: 2.14MIN: 2.2MIN: 2.281. (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: CPU23Core i7 8086K0.87771.75542.63313.51084.3885SE +/- 0.00809, N = 3SE +/- 0.00905, N = 3SE +/- 0.01245, N = 33.840243.869923.90083MIN: 3.77MIN: 3.81MIN: 3.831. (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: CPU32Core i7 8086K0.89581.79162.68743.58324.479SE +/- 0.00601, N = 3SE +/- 0.00254, N = 3SE +/- 0.00962, N = 33.921253.946033.98148MIN: 3.87MIN: 3.91MIN: 3.941. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Redis

Test: SET

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SET32Core i7 8086K500K1000K1500K2000K2500KSE +/- 11330.49, N = 3SE +/- 28977.05, N = 3SE +/- 14022.61, N = 32336882.832313798.582299389.081. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

Redis

Test: GET

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: GETCore i7 8086K32700K1400K2100K2800K3500KSE +/- 34095.03, N = 3SE +/- 18501.09, N = 3SE +/- 26958.12, N = 33113080.422910217.922905311.081. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

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

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU32Core i7 8086K0.64471.28941.93412.57883.2235SE +/- 0.02157, N = 3SE +/- 0.01066, N = 3SE +/- 0.04349, N = 32.230892.417032.86521MIN: 2.16MIN: 2.35MIN: 2.371. (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: CPU3Core i7 8086K23691215SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 310.1211.5911.76MIN: 9.95MIN: 11.17MIN: 11.551. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Basis Universal

Settings: UASTC Level 0

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 03Core i7 8086K2246810SE +/- 0.004, N = 3SE +/- 0.001, N = 3SE +/- 0.003, N = 37.9317.9337.9341. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -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: CPU23Core i7 8086K1.14652.2933.43954.5865.7325SE +/- 0.00688, N = 3SE +/- 0.00532, N = 3SE +/- 0.06433, N = 154.195184.275445.09566MIN: 4.16MIN: 4.24MIN: 4.361. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

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

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: CPU3Core i7 8086K248121620SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 317.6317.7417.90MIN: 17.41MIN: 17.55MIN: 17.661. (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 8086K32510152025SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 320.4220.5720.62MIN: 20.29MIN: 20.47MIN: 20.531. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

ASTC Encoder

Preset: Fast

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: FastCore i7 8086K32246810SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 36.286.306.311. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

yquake2

Renderer: Software CPU - Resolution: 1920 x 1080

OpenBenchmarking.orgFrames Per Second, More Is Betteryquake2 7.45Renderer: Software CPU - Resolution: 1920 x 108023Core i7 8086K306090120150SE +/- 0.35, N = 3SE +/- 0.26, N = 3SE +/- 0.24, N = 3128.7128.2128.11. (CC) gcc options: -lm -ldl -rdynamic -shared -lSDL2 -O2 -pipe -fomit-frame-pointer -std=gnu99 -fno-strict-aliasing -fwrapv -fvisibility=hidden -MMD -mfpmath=sse -fPIC

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU32Core i7 8086K3691215SE +/- 0.02606, N = 3SE +/- 0.13214, N = 3SE +/- 0.11808, N = 79.2493110.3497011.16420MIN: 9.14MIN: 10.1MIN: 10.811. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

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

yquake2

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

OpenBenchmarking.orgFrames Per Second, More Is Betteryquake2 7.45Renderer: OpenGL 3.x - Resolution: 1920 x 10802Core i7 8086K380160240320400SE +/- 1.30, N = 3SE +/- 1.00, 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: 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

Phoronix Test Suite v10.8.4