Core i7 6770HQ Intel Core i7-6770HQ testing with a Intel NUC6i7KYB (KYSKLi70.86A.0037.2016.0603.1032 BIOS) and Intel Iris Pro 580 3GB on Ubuntu 19.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/1905090-HV-COREI767737 .
Core i7 6770HQ Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server Display Driver OpenGL OpenCL Compiler File-System Screen Resolution Core i7 6770HQ Intel Core i7-6770HQ @ 3.50GHz (4 Cores / 8 Threads) Intel NUC6i7KYB (KYSKLi70.86A.0037.2016.0603.1032 BIOS) Intel Xeon E3-1200 v5/E3-1500 32768MB Samsung SSD 950 PRO 512GB Intel Iris Pro 580 3GB (950MHz) Realtek ALC233 DELL P2415Q Intel I219-LM + Intel 8260 Ubuntu 19.04 5.0.0-13-generic (x86_64) GNOME Shell 3.32.0 X Server 1.20.4 modesetting 1.20.4 4.5 Mesa 19.1.0-devel (git-bdd273d 2019-05-06 disco-oibaf-ppa) OpenCL 1.2 pocl +Asserts LLVM 6.0.1 SLEEF DISTRO POCL_DEBUG GCC 8.3.0 ext4 3840x2160 OpenBenchmarking.org - --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --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 --with-tune=generic --without-cuda-driver -v - Scaling Governor: intel_pstate powersave - KPTI + __user pointer sanitization + Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + SSB disabled via prctl and seccomp + PTE Inversion; VMX: conditional cache flushes SMT vulnerable
Core i7 6770HQ mbw: Memory Copy - 128 MiB mbw: Memory Copy - 512 MiB mbw: Memory Copy - 1024 MiB mbw: Memory Copy - 4096 MiB mbw: Memory Copy - 8192 MiB mbw: Memory Copy, Fixed Block Size - 128 MiB mbw: Memory Copy, Fixed Block Size - 512 MiB mbw: Memory Copy, Fixed Block Size - 1024 MiB mbw: Memory Copy, Fixed Block Size - 4096 MiB mbw: Memory Copy, Fixed Block Size - 8192 MiB hpcg: mkl-dnn: IP Batch 1D - f32 mkl-dnn: IP Batch All - f32 mkl-dnn: IP Batch 1D - u8s8u8s32 mkl-dnn: IP Batch 1D - u8s8f32s32 mkl-dnn: IP Batch All - u8s8u8s32 mkl-dnn: IP Batch All - u8s8f32s32 mkl-dnn: Convolution Batch conv_3d - f32 mkl-dnn: Convolution Batch conv_all - f32 mkl-dnn: Deconvolution Batch deconv_1d - f32 mkl-dnn: Deconvolution Batch deconv_3d - f32 mkl-dnn: Convolution Batch conv_alexnet - f32 mkl-dnn: Deconvolution Batch deconv_all - f32 mkl-dnn: Convolution Batch conv_3d - u8s8u8s32 mkl-dnn: Convolution Batch conv_3d - u8s8f32s32 mkl-dnn: Convolution Batch conv_all - u8s8u8s32 mkl-dnn: Convolution Batch conv_all - u8s8f32s32 mkl-dnn: Convolution Batch conv_googlenet_v3 - f32 mkl-dnn: Deconvolution Batch deconv_1d - u8s8u8s32 mkl-dnn: Deconvolution Batch deconv_3d - u8s8u8s32 mkl-dnn: Convolution Batch conv_alexnet - u8s8u8s32 mkl-dnn: Deconvolution Batch deconv_1d - u8s8f32s32 mkl-dnn: Deconvolution Batch deconv_3d - u8s8f32s32 mkl-dnn: Deconvolution Batch deconv_all - u8s8u8s32 mkl-dnn: Convolution Batch conv_alexnet - u8s8f32s32 mkl-dnn: Convolution Batch conv_googlenet_v3 - u8s8u8s32 mkl-dnn: Convolution Batch conv_googlenet_v3 - u8s8f32s32 aom-av1: AV1 Video Encoding svt-av1: 1080p 8-bit YUV To AV1 Video Encode svt-hevc: 1080p 8-bit YUV To HEVC Video Encode svt-vp9: 1080p 8-bit YUV To VP9 Video Encode vpxenc: vpxenc VP9 1080p Video Encode x264: H.264 Video Encoding x265: H.265 1080p Video Encoding compress-xz: Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9 compress-zstd: Compressing ubuntu-16.04.3-server-i386.img, Compression Level 19 ffmpeg: H.264 HD To NTSC DV Core i7 6770HQ 10261.74 9962.77 9917.91 9904.86 9855.08 6836.37 6683.64 6679.19 6681.29 6598.30 1.04 14.03 197.77 8.32 8.28 132.26 135.90 42.22 7364.37 15.01 16.99 967.59 5728.47 47125.60 45975.10 50269.17 49499.70 409.61 17178.90 28863.83 1488.45 15341.73 26262.47 51594.73 1426.82 764.45 723.41 0.15 6.95 76.93 21.21 21.38 36.26 20.23 71.48 44.10 7.08 OpenBenchmarking.org
MBW Test: Memory Copy - Array Size: 128 MiB OpenBenchmarking.org MiB/s, More Is Better MBW 2018-09-08 Test: Memory Copy - Array Size: 128 MiB Core i7 6770HQ 2K 4K 6K 8K 10K SE +/- 37.19, N = 3 10261.74 1. (CC) gcc options: -O3 -march=native
MBW Test: Memory Copy - Array Size: 512 MiB OpenBenchmarking.org MiB/s, More Is Better MBW 2018-09-08 Test: Memory Copy - Array Size: 512 MiB Core i7 6770HQ 2K 4K 6K 8K 10K SE +/- 58.98, N = 3 9962.77 1. (CC) gcc options: -O3 -march=native
MBW Test: Memory Copy - Array Size: 1024 MiB OpenBenchmarking.org MiB/s, More Is Better MBW 2018-09-08 Test: Memory Copy - Array Size: 1024 MiB Core i7 6770HQ 2K 4K 6K 8K 10K SE +/- 62.73, N = 3 9917.91 1. (CC) gcc options: -O3 -march=native
MBW Test: Memory Copy - Array Size: 4096 MiB OpenBenchmarking.org MiB/s, More Is Better MBW 2018-09-08 Test: Memory Copy - Array Size: 4096 MiB Core i7 6770HQ 2K 4K 6K 8K 10K SE +/- 38.87, N = 3 9904.86 1. (CC) gcc options: -O3 -march=native
MBW Test: Memory Copy - Array Size: 8192 MiB OpenBenchmarking.org MiB/s, More Is Better MBW 2018-09-08 Test: Memory Copy - Array Size: 8192 MiB Core i7 6770HQ 2K 4K 6K 8K 10K SE +/- 101.00, N = 3 9855.08 1. (CC) gcc options: -O3 -march=native
MBW Test: Memory Copy, Fixed Block Size - Array Size: 128 MiB OpenBenchmarking.org MiB/s, More Is Better MBW 2018-09-08 Test: Memory Copy, Fixed Block Size - Array Size: 128 MiB Core i7 6770HQ 1500 3000 4500 6000 7500 SE +/- 25.49, N = 3 6836.37 1. (CC) gcc options: -O3 -march=native
MBW Test: Memory Copy, Fixed Block Size - Array Size: 512 MiB OpenBenchmarking.org MiB/s, More Is Better MBW 2018-09-08 Test: Memory Copy, Fixed Block Size - Array Size: 512 MiB Core i7 6770HQ 1400 2800 4200 5600 7000 SE +/- 32.84, N = 3 6683.64 1. (CC) gcc options: -O3 -march=native
MBW Test: Memory Copy, Fixed Block Size - Array Size: 1024 MiB OpenBenchmarking.org MiB/s, More Is Better MBW 2018-09-08 Test: Memory Copy, Fixed Block Size - Array Size: 1024 MiB Core i7 6770HQ 1400 2800 4200 5600 7000 SE +/- 24.03, N = 3 6679.19 1. (CC) gcc options: -O3 -march=native
MBW Test: Memory Copy, Fixed Block Size - Array Size: 4096 MiB OpenBenchmarking.org MiB/s, More Is Better MBW 2018-09-08 Test: Memory Copy, Fixed Block Size - Array Size: 4096 MiB Core i7 6770HQ 1400 2800 4200 5600 7000 SE +/- 27.82, N = 3 6681.29 1. (CC) gcc options: -O3 -march=native
MBW Test: Memory Copy, Fixed Block Size - Array Size: 8192 MiB OpenBenchmarking.org MiB/s, More Is Better MBW 2018-09-08 Test: Memory Copy, Fixed Block Size - Array Size: 8192 MiB Core i7 6770HQ 1400 2800 4200 5600 7000 SE +/- 12.38, N = 3 6598.30 1. (CC) gcc options: -O3 -march=native
High Performance Conjugate Gradient OpenBenchmarking.org GFLOP/s, More Is Better High Performance Conjugate Gradient 3.0 Core i7 6770HQ 0.234 0.468 0.702 0.936 1.17 SE +/- 0.01, N = 3 1.04
MKL-DNN Harness: IP Batch 1D - Data Type: f32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: IP Batch 1D - Data Type: f32 Core i7 6770HQ 4 8 12 16 20 SE +/- 0.31, N = 15 14.03 MIN: 10.16 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
MKL-DNN Harness: IP Batch All - Data Type: f32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: IP Batch All - Data Type: f32 Core i7 6770HQ 40 80 120 160 200 SE +/- 2.65, N = 3 197.77 MIN: 124.96 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
MKL-DNN Harness: IP Batch 1D - Data Type: u8s8u8s32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: IP Batch 1D - Data Type: u8s8u8s32 Core i7 6770HQ 2 4 6 8 10 SE +/- 0.09, N = 3 8.32 MIN: 6.5 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
MKL-DNN Harness: IP Batch 1D - Data Type: u8s8f32s32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: IP Batch 1D - Data Type: u8s8f32s32 Core i7 6770HQ 2 4 6 8 10 SE +/- 0.07, N = 3 8.28 MIN: 6.39 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
MKL-DNN Harness: IP Batch All - Data Type: u8s8u8s32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: IP Batch All - Data Type: u8s8u8s32 Core i7 6770HQ 30 60 90 120 150 SE +/- 1.33, N = 3 132.26 MIN: 79.55 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
MKL-DNN Harness: IP Batch All - Data Type: u8s8f32s32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: IP Batch All - Data Type: u8s8f32s32 Core i7 6770HQ 30 60 90 120 150 SE +/- 1.34, N = 3 135.90 MIN: 78.67 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
MKL-DNN Harness: Convolution Batch conv_3d - Data Type: f32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Convolution Batch conv_3d - Data Type: f32 Core i7 6770HQ 10 20 30 40 50 SE +/- 0.63, N = 3 42.22 MIN: 39.39 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
MKL-DNN Harness: Convolution Batch conv_all - Data Type: f32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Convolution Batch conv_all - Data Type: f32 Core i7 6770HQ 1600 3200 4800 6400 8000 SE +/- 10.00, N = 3 7364.37 MIN: 7269.07 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
MKL-DNN Harness: Deconvolution Batch deconv_1d - Data Type: f32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Deconvolution Batch deconv_1d - Data Type: f32 Core i7 6770HQ 4 8 12 16 20 SE +/- 0.08, N = 3 15.01 MIN: 14.26 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
MKL-DNN Harness: Deconvolution Batch deconv_3d - Data Type: f32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Deconvolution Batch deconv_3d - Data Type: f32 Core i7 6770HQ 4 8 12 16 20 SE +/- 0.04, N = 3 16.99 MIN: 16.16 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
MKL-DNN Harness: Convolution Batch conv_alexnet - Data Type: f32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Convolution Batch conv_alexnet - Data Type: f32 Core i7 6770HQ 200 400 600 800 1000 SE +/- 4.12, N = 3 967.59 MIN: 945.51 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
MKL-DNN Harness: Deconvolution Batch deconv_all - Data Type: f32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Deconvolution Batch deconv_all - Data Type: f32 Core i7 6770HQ 1200 2400 3600 4800 6000 SE +/- 6.73, N = 3 5728.47 MIN: 5636.01 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
MKL-DNN Harness: Convolution Batch conv_3d - Data Type: u8s8u8s32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Convolution Batch conv_3d - Data Type: u8s8u8s32 Core i7 6770HQ 10K 20K 30K 40K 50K SE +/- 99.60, N = 3 47125.60 MIN: 46547.3 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
MKL-DNN Harness: Convolution Batch conv_3d - Data Type: u8s8f32s32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Convolution Batch conv_3d - Data Type: u8s8f32s32 Core i7 6770HQ 10K 20K 30K 40K 50K SE +/- 103.56, N = 3 45975.10 MIN: 45576.3 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
MKL-DNN Harness: Convolution Batch conv_all - Data Type: u8s8u8s32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Convolution Batch conv_all - Data Type: u8s8u8s32 Core i7 6770HQ 11K 22K 33K 44K 55K SE +/- 33.25, N = 3 50269.17 MIN: 49244 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
MKL-DNN Harness: Convolution Batch conv_all - Data Type: u8s8f32s32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Convolution Batch conv_all - Data Type: u8s8f32s32 Core i7 6770HQ 11K 22K 33K 44K 55K SE +/- 43.10, N = 3 49499.70 MIN: 48554.9 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
MKL-DNN Harness: Convolution Batch conv_googlenet_v3 - Data Type: f32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Convolution Batch conv_googlenet_v3 - Data Type: f32 Core i7 6770HQ 90 180 270 360 450 SE +/- 1.11, N = 3 409.61 MIN: 397.83 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
MKL-DNN Harness: Deconvolution Batch deconv_1d - Data Type: u8s8u8s32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Deconvolution Batch deconv_1d - Data Type: u8s8u8s32 Core i7 6770HQ 4K 8K 12K 16K 20K SE +/- 2.27, N = 3 17178.90 MIN: 17069.1 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
MKL-DNN Harness: Deconvolution Batch deconv_3d - Data Type: u8s8u8s32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Deconvolution Batch deconv_3d - Data Type: u8s8u8s32 Core i7 6770HQ 6K 12K 18K 24K 30K SE +/- 1.19, N = 3 28863.83 MIN: 28816.2 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
MKL-DNN Harness: Convolution Batch conv_alexnet - Data Type: u8s8u8s32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Convolution Batch conv_alexnet - Data Type: u8s8u8s32 Core i7 6770HQ 300 600 900 1200 1500 SE +/- 6.13, N = 3 1488.45 MIN: 1380.82 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
MKL-DNN Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32s32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32s32 Core i7 6770HQ 3K 6K 9K 12K 15K SE +/- 51.98, N = 3 15341.73 MIN: 15192.1 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
MKL-DNN Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32s32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32s32 Core i7 6770HQ 6K 12K 18K 24K 30K SE +/- 38.44, N = 3 26262.47 MIN: 26134.7 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
MKL-DNN Harness: Deconvolution Batch deconv_all - Data Type: u8s8u8s32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Deconvolution Batch deconv_all - Data Type: u8s8u8s32 Core i7 6770HQ 11K 22K 33K 44K 55K SE +/- 119.76, N = 3 51594.73 MIN: 50753.4 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
MKL-DNN Harness: Convolution Batch conv_alexnet - Data Type: u8s8f32s32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Convolution Batch conv_alexnet - Data Type: u8s8f32s32 Core i7 6770HQ 300 600 900 1200 1500 SE +/- 3.88, N = 3 1426.82 MIN: 1318.74 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
MKL-DNN Harness: Convolution Batch conv_googlenet_v3 - Data Type: u8s8u8s32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Convolution Batch conv_googlenet_v3 - Data Type: u8s8u8s32 Core i7 6770HQ 160 320 480 640 800 SE +/- 3.30, N = 3 764.45 MIN: 703.44 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
MKL-DNN Harness: Convolution Batch conv_googlenet_v3 - Data Type: u8s8f32s32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Convolution Batch conv_googlenet_v3 - Data Type: u8s8f32s32 Core i7 6770HQ 160 320 480 640 800 SE +/- 4.85, N = 3 723.41 MIN: 655.35 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
AOM AV1 AV1 Video Encoding OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2019-02-11 AV1 Video Encoding Core i7 6770HQ 0.0338 0.0676 0.1014 0.1352 0.169 SE +/- 0.00, N = 3 0.15 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
SVT-AV1 1080p 8-bit YUV To AV1 Video Encode OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 2019-03-07 1080p 8-bit YUV To AV1 Video Encode Core i7 6770HQ 2 4 6 8 10 SE +/- 0.02, N = 3 6.95 1. (CXX) g++ options: -O3 -pie -lpthread -lm
SVT-HEVC 1080p 8-bit YUV To HEVC Video Encode OpenBenchmarking.org Frames Per Second, More Is Better SVT-HEVC 2019-02-03 1080p 8-bit YUV To HEVC Video Encode Core i7 6770HQ 20 40 60 80 100 SE +/- 0.21, N = 3 76.93 1. (CC) gcc options: -fPIE -fPIC -O2 -flto -fvisibility=hidden -march=native -pie -rdynamic -lpthread -lrt
SVT-VP9 1080p 8-bit YUV To VP9 Video Encode OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 2019-02-17 1080p 8-bit YUV To VP9 Video Encode Core i7 6770HQ 5 10 15 20 25 SE +/- 0.02, N = 3 21.21 1. (CC) gcc options: -fPIE -fPIC -O2 -flto -fvisibility=hidden -mavx -pie -rdynamic -lpthread -lrt -lm
VP9 libvpx Encoding vpxenc VP9 1080p Video Encode OpenBenchmarking.org Frames Per Second, More Is Better VP9 libvpx Encoding 1.8.0 vpxenc VP9 1080p Video Encode Core i7 6770HQ 5 10 15 20 25 SE +/- 0.01, N = 3 21.38 1. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11
x264 H.264 Video Encoding OpenBenchmarking.org Frames Per Second, More Is Better x264 2018-09-25 H.264 Video Encoding Core i7 6770HQ 8 16 24 32 40 SE +/- 0.02, N = 3 36.26 1. (CC) gcc options: -ldl -m64 -lm -lpthread -O3 -ffast-math -std=gnu99 -fPIC -fomit-frame-pointer -fno-tree-vectorize
x265 H.265 1080p Video Encoding OpenBenchmarking.org Frames Per Second, More Is Better x265 3.0 H.265 1080p Video Encoding Core i7 6770HQ 5 10 15 20 25 SE +/- 0.03, N = 3 20.23 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl
XZ Compression Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9 OpenBenchmarking.org Seconds, Fewer Is Better XZ Compression 5.2.4 Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9 Core i7 6770HQ 16 32 48 64 80 SE +/- 0.27, N = 3 71.48 1. (CC) gcc options: -pthread -fvisibility=hidden -O2
Zstd Compression Compressing ubuntu-16.04.3-server-i386.img, Compression Level 19 OpenBenchmarking.org Seconds, Fewer Is Better Zstd Compression 1.3.4 Compressing ubuntu-16.04.3-server-i386.img, Compression Level 19 Core i7 6770HQ 10 20 30 40 50 SE +/- 0.16, N = 3 44.10 1. (CC) gcc options: -O3 -pthread -lz -llzma
FFmpeg H.264 HD To NTSC DV OpenBenchmarking.org Seconds, Fewer Is Better FFmpeg 4.0.2 H.264 HD To NTSC DV Core i7 6770HQ 2 4 6 8 10 SE +/- 0.01, N = 3 7.08 1. (CC) gcc options: -lavdevice -lavfilter -lavformat -lavcodec -lswresample -lswscale -lavutil -lXv -lX11 -lXext -lm -lxcb -lxcb-shape -lxcb-xfixes -lasound -lSDL2 -lsndio -pthread -lbz2 -llzma -std=c11 -fomit-frame-pointer -fPIC -O3 -fno-math-errno -fno-signed-zeros -fno-tree-vectorize -MMD -MF -MT
Phoronix Test Suite v10.8.4