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.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 1905090-HV-COREI767737
Jump To Table - Results

Statistics

Remove Outliers Before Calculating Averages

Graph Settings

Prefer Vertical Bar Graphs

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
Core i7 6770HQ
May 08 2019
  5 Hours, 20 Minutes
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):


Core i7 6770HQOpenBenchmarking.orgPhoronix Test SuiteIntel Core i7-6770HQ @ 3.50GHz (4 Cores / 8 Threads)Intel NUC6i7KYB (KYSKLi70.86A.0037.2016.0603.1032 BIOS)Intel Xeon E3-1200 v5/E3-150032768MBSamsung SSD 950 PRO 512GBIntel Iris Pro 580 3GB (950MHz)Realtek ALC233DELL P2415QIntel I219-LM + Intel 8260Ubuntu 19.045.0.0-13-generic (x86_64)GNOME Shell 3.32.0X Server 1.20.4modesetting 1.20.44.5 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_DEBUGGCC 8.3.0ext43840x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLCompilerFile-SystemScreen ResolutionCore I7 6770HQ BenchmarksSystem Logs- --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 6770HQmbw: Memory Copy - 128 MiBmbw: Memory Copy - 512 MiBmbw: Memory Copy - 1024 MiBmbw: Memory Copy - 4096 MiBmbw: Memory Copy - 8192 MiBmbw: Memory Copy, Fixed Block Size - 128 MiBmbw: Memory Copy, Fixed Block Size - 512 MiBmbw: Memory Copy, Fixed Block Size - 1024 MiBmbw: Memory Copy, Fixed Block Size - 4096 MiBmbw: Memory Copy, Fixed Block Size - 8192 MiBhpcg: mkl-dnn: IP Batch 1D - f32mkl-dnn: IP Batch All - f32mkl-dnn: IP Batch 1D - u8s8u8s32mkl-dnn: IP Batch 1D - u8s8f32s32mkl-dnn: IP Batch All - u8s8u8s32mkl-dnn: IP Batch All - u8s8f32s32mkl-dnn: Convolution Batch conv_3d - f32mkl-dnn: Convolution Batch conv_all - f32mkl-dnn: Deconvolution Batch deconv_1d - f32mkl-dnn: Deconvolution Batch deconv_3d - f32mkl-dnn: Convolution Batch conv_alexnet - f32mkl-dnn: Deconvolution Batch deconv_all - f32mkl-dnn: Convolution Batch conv_3d - u8s8u8s32mkl-dnn: Convolution Batch conv_3d - u8s8f32s32mkl-dnn: Convolution Batch conv_all - u8s8u8s32mkl-dnn: Convolution Batch conv_all - u8s8f32s32mkl-dnn: Convolution Batch conv_googlenet_v3 - f32mkl-dnn: Deconvolution Batch deconv_1d - u8s8u8s32mkl-dnn: Deconvolution Batch deconv_3d - u8s8u8s32mkl-dnn: Convolution Batch conv_alexnet - u8s8u8s32mkl-dnn: Deconvolution Batch deconv_1d - u8s8f32s32mkl-dnn: Deconvolution Batch deconv_3d - u8s8f32s32mkl-dnn: Deconvolution Batch deconv_all - u8s8u8s32mkl-dnn: Convolution Batch conv_alexnet - u8s8f32s32mkl-dnn: Convolution Batch conv_googlenet_v3 - u8s8u8s32mkl-dnn: Convolution Batch conv_googlenet_v3 - u8s8f32s32aom-av1: AV1 Video Encodingsvt-av1: 1080p 8-bit YUV To AV1 Video Encodesvt-hevc: 1080p 8-bit YUV To HEVC Video Encodesvt-vp9: 1080p 8-bit YUV To VP9 Video Encodevpxenc: vpxenc VP9 1080p Video Encodex264: H.264 Video Encodingx265: H.265 1080p Video Encodingcompress-xz: Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9compress-zstd: Compressing ubuntu-16.04.3-server-i386.img, Compression Level 19ffmpeg: H.264 HD To NTSC DVCore i7 6770HQ10261.749962.779917.919904.869855.086836.376683.646679.196681.296598.301.0414.03197.778.328.28132.26135.9042.227364.3715.0116.99967.595728.4747125.6045975.1050269.1749499.70409.6117178.9028863.831488.4515341.7326262.4751594.731426.82764.45723.410.156.9576.9321.2121.3836.2620.2371.4844.107.08OpenBenchmarking.org

MBW

This is a basic/simple memory (RAM) bandwidth benchmark for memory copy operations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterMBW 2018-09-08Test: Memory Copy - Array Size: 128 MiBCore i7 6770HQ2K4K6K8K10KSE +/- 37.19, N = 310261.741. (CC) gcc options: -O3 -march=native

OpenBenchmarking.orgMiB/s, More Is BetterMBW 2018-09-08Test: Memory Copy - Array Size: 512 MiBCore i7 6770HQ2K4K6K8K10KSE +/- 58.98, N = 39962.771. (CC) gcc options: -O3 -march=native

OpenBenchmarking.orgMiB/s, More Is BetterMBW 2018-09-08Test: Memory Copy - Array Size: 1024 MiBCore i7 6770HQ2K4K6K8K10KSE +/- 62.73, N = 39917.911. (CC) gcc options: -O3 -march=native

OpenBenchmarking.orgMiB/s, More Is BetterMBW 2018-09-08Test: Memory Copy - Array Size: 4096 MiBCore i7 6770HQ2K4K6K8K10KSE +/- 38.87, N = 39904.861. (CC) gcc options: -O3 -march=native

OpenBenchmarking.orgMiB/s, More Is BetterMBW 2018-09-08Test: Memory Copy - Array Size: 8192 MiBCore i7 6770HQ2K4K6K8K10KSE +/- 101.00, N = 39855.081. (CC) gcc options: -O3 -march=native

OpenBenchmarking.orgMiB/s, More Is BetterMBW 2018-09-08Test: Memory Copy, Fixed Block Size - Array Size: 128 MiBCore i7 6770HQ15003000450060007500SE +/- 25.49, N = 36836.371. (CC) gcc options: -O3 -march=native

OpenBenchmarking.orgMiB/s, More Is BetterMBW 2018-09-08Test: Memory Copy, Fixed Block Size - Array Size: 512 MiBCore i7 6770HQ14002800420056007000SE +/- 32.84, N = 36683.641. (CC) gcc options: -O3 -march=native

OpenBenchmarking.orgMiB/s, More Is BetterMBW 2018-09-08Test: Memory Copy, Fixed Block Size - Array Size: 1024 MiBCore i7 6770HQ14002800420056007000SE +/- 24.03, N = 36679.191. (CC) gcc options: -O3 -march=native

OpenBenchmarking.orgMiB/s, More Is BetterMBW 2018-09-08Test: Memory Copy, Fixed Block Size - Array Size: 4096 MiBCore i7 6770HQ14002800420056007000SE +/- 27.82, N = 36681.291. (CC) gcc options: -O3 -march=native

OpenBenchmarking.orgMiB/s, More Is BetterMBW 2018-09-08Test: Memory Copy, Fixed Block Size - Array Size: 8192 MiBCore i7 6770HQ14002800420056007000SE +/- 12.38, N = 36598.301. (CC) gcc options: -O3 -march=native

High Performance Conjugate Gradient

HPCG is the High Performance Conjugate Gradient and is a new scientific benchmark from Sandia National Lans focused for super-computer testing with modern real-world workloads compared to HPCC. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.0Core i7 6770HQ0.2340.4680.7020.9361.17SE +/- 0.01, N = 31.04

MKL-DNN

This is a test of the Intel MKL-DNN as the Intel Math Kernel Library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: IP Batch 1D - Data Type: f32Core i7 6770HQ48121620SE +/- 0.31, N = 1514.03MIN: 10.161. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: IP Batch All - Data Type: f32Core i7 6770HQ4080120160200SE +/- 2.65, N = 3197.77MIN: 124.961. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: IP Batch 1D - Data Type: u8s8u8s32Core i7 6770HQ246810SE +/- 0.09, N = 38.32MIN: 6.51. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: IP Batch 1D - Data Type: u8s8f32s32Core i7 6770HQ246810SE +/- 0.07, N = 38.28MIN: 6.391. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: IP Batch All - Data Type: u8s8u8s32Core i7 6770HQ306090120150SE +/- 1.33, N = 3132.26MIN: 79.551. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: IP Batch All - Data Type: u8s8f32s32Core i7 6770HQ306090120150SE +/- 1.34, N = 3135.90MIN: 78.671. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_3d - Data Type: f32Core i7 6770HQ1020304050SE +/- 0.63, N = 342.22MIN: 39.391. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_all - Data Type: f32Core i7 6770HQ16003200480064008000SE +/- 10.00, N = 37364.37MIN: 7269.071. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Deconvolution Batch deconv_1d - Data Type: f32Core i7 6770HQ48121620SE +/- 0.08, N = 315.01MIN: 14.261. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Deconvolution Batch deconv_3d - Data Type: f32Core i7 6770HQ48121620SE +/- 0.04, N = 316.99MIN: 16.161. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_alexnet - Data Type: f32Core i7 6770HQ2004006008001000SE +/- 4.12, N = 3967.59MIN: 945.511. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Deconvolution Batch deconv_all - Data Type: f32Core i7 6770HQ12002400360048006000SE +/- 6.73, N = 35728.47MIN: 5636.011. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_3d - Data Type: u8s8u8s32Core i7 6770HQ10K20K30K40K50KSE +/- 99.60, N = 347125.60MIN: 46547.31. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_3d - Data Type: u8s8f32s32Core i7 6770HQ10K20K30K40K50KSE +/- 103.56, N = 345975.10MIN: 45576.31. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_all - Data Type: u8s8u8s32Core i7 6770HQ11K22K33K44K55KSE +/- 33.25, N = 350269.17MIN: 492441. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_all - Data Type: u8s8f32s32Core i7 6770HQ11K22K33K44K55KSE +/- 43.10, N = 349499.70MIN: 48554.91. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_googlenet_v3 - Data Type: f32Core i7 6770HQ90180270360450SE +/- 1.11, N = 3409.61MIN: 397.831. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Deconvolution Batch deconv_1d - Data Type: u8s8u8s32Core i7 6770HQ4K8K12K16K20KSE +/- 2.27, N = 317178.90MIN: 17069.11. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Deconvolution Batch deconv_3d - Data Type: u8s8u8s32Core i7 6770HQ6K12K18K24K30KSE +/- 1.19, N = 328863.83MIN: 28816.21. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_alexnet - Data Type: u8s8u8s32Core i7 6770HQ30060090012001500SE +/- 6.13, N = 31488.45MIN: 1380.821. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32s32Core i7 6770HQ3K6K9K12K15KSE +/- 51.98, N = 315341.73MIN: 15192.11. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32s32Core i7 6770HQ6K12K18K24K30KSE +/- 38.44, N = 326262.47MIN: 26134.71. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Deconvolution Batch deconv_all - Data Type: u8s8u8s32Core i7 6770HQ11K22K33K44K55KSE +/- 119.76, N = 351594.73MIN: 50753.41. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_alexnet - Data Type: u8s8f32s32Core i7 6770HQ30060090012001500SE +/- 3.88, N = 31426.82MIN: 1318.741. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_googlenet_v3 - Data Type: u8s8u8s32Core i7 6770HQ160320480640800SE +/- 3.30, N = 3764.45MIN: 703.441. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_googlenet_v3 - Data Type: u8s8f32s32Core i7 6770HQ160320480640800SE +/- 4.85, N = 3723.41MIN: 655.351. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

AOM AV1

This is a simple test of the AOMedia AV1 encoder run on the CPU with a sample video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2019-02-11AV1 Video EncodingCore i7 6770HQ0.03380.06760.10140.13520.169SE +/- 0.00, N = 30.151. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

SVT-AV1

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-AV1 CPU-based multi-threaded video encoder for the AV1 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2019-03-071080p 8-bit YUV To AV1 Video EncodeCore i7 6770HQ246810SE +/- 0.02, N = 36.951. (CXX) g++ options: -O3 -pie -lpthread -lm

SVT-HEVC

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 2019-02-031080p 8-bit YUV To HEVC Video EncodeCore i7 6770HQ20406080100SE +/- 0.21, N = 376.931. (CC) gcc options: -fPIE -fPIC -O2 -flto -fvisibility=hidden -march=native -pie -rdynamic -lpthread -lrt

SVT-VP9

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 2019-02-171080p 8-bit YUV To VP9 Video EncodeCore i7 6770HQ510152025SE +/- 0.02, N = 321.211. (CC) gcc options: -fPIE -fPIC -O2 -flto -fvisibility=hidden -mavx -pie -rdynamic -lpthread -lrt -lm

VP9 libvpx Encoding

This is a standard video encoding performance test of Google's libvpx library and the vpxenc command for the VP9/WebM format using a sample 1080p video. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.8.0vpxenc VP9 1080p Video EncodeCore i7 6770HQ510152025SE +/- 0.01, N = 321.381. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11

x264

This is a simple test of the x264 encoder run on the CPU (OpenCL support disabled) with a sample video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx264 2018-09-25H.264 Video EncodingCore i7 6770HQ816243240SE +/- 0.02, N = 336.261. (CC) gcc options: -ldl -m64 -lm -lpthread -O3 -ffast-math -std=gnu99 -fPIC -fomit-frame-pointer -fno-tree-vectorize

x265

This is a simple test of the x265 encoder run on the CPU with a sample 1080p video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.0H.265 1080p Video EncodingCore i7 6770HQ510152025SE +/- 0.03, N = 320.231. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl

XZ Compression

This test measures the time needed to compress a sample file (an Ubuntu file-system image) using XZ compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterXZ Compression 5.2.4Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9Core i7 6770HQ1632486480SE +/- 0.27, N = 371.481. (CC) gcc options: -pthread -fvisibility=hidden -O2

Zstd Compression

This test measures the time needed to compress a sample file (an Ubuntu file-system image) using Zstd compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterZstd Compression 1.3.4Compressing ubuntu-16.04.3-server-i386.img, Compression Level 19Core i7 6770HQ1020304050SE +/- 0.16, N = 344.101. (CC) gcc options: -O3 -pthread -lz -llzma

FFmpeg

This test uses FFmpeg for testing the system's audio/video encoding performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterFFmpeg 4.0.2H.264 HD To NTSC DVCore i7 6770HQ246810SE +/- 0.01, N = 37.081. (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

47 Results Shown

MBW:
  Memory Copy - 128 MiB
  Memory Copy - 512 MiB
  Memory Copy - 1024 MiB
  Memory Copy - 4096 MiB
  Memory Copy - 8192 MiB
  Memory Copy, Fixed Block Size - 128 MiB
  Memory Copy, Fixed Block Size - 512 MiB
  Memory Copy, Fixed Block Size - 1024 MiB
  Memory Copy, Fixed Block Size - 4096 MiB
  Memory Copy, Fixed Block Size - 8192 MiB
High Performance Conjugate Gradient
MKL-DNN:
  IP Batch 1D - f32
  IP Batch All - f32
  IP Batch 1D - u8s8u8s32
  IP Batch 1D - u8s8f32s32
  IP Batch All - u8s8u8s32
  IP Batch All - u8s8f32s32
  Convolution Batch conv_3d - f32
  Convolution Batch conv_all - f32
  Deconvolution Batch deconv_1d - f32
  Deconvolution Batch deconv_3d - f32
  Convolution Batch conv_alexnet - f32
  Deconvolution Batch deconv_all - f32
  Convolution Batch conv_3d - u8s8u8s32
  Convolution Batch conv_3d - u8s8f32s32
  Convolution Batch conv_all - u8s8u8s32
  Convolution Batch conv_all - u8s8f32s32
  Convolution Batch conv_googlenet_v3 - f32
  Deconvolution Batch deconv_1d - u8s8u8s32
  Deconvolution Batch deconv_3d - u8s8u8s32
  Convolution Batch conv_alexnet - u8s8u8s32
  Deconvolution Batch deconv_1d - u8s8f32s32
  Deconvolution Batch deconv_3d - u8s8f32s32
  Deconvolution Batch deconv_all - u8s8u8s32
  Convolution Batch conv_alexnet - u8s8f32s32
  Convolution Batch conv_googlenet_v3 - u8s8u8s32
  Convolution Batch conv_googlenet_v3 - u8s8f32s32
AOM AV1
SVT-AV1
SVT-HEVC
SVT-VP9
VP9 libvpx Encoding
x264
x265
XZ Compression
Zstd Compression
FFmpeg