Core i9 7960X Ubuntu 19.04 Intel Perf Intel Core i9-7960X testing with a MSI X299 SLI PLUS (MS-7A93) v1.0 (1.A0 BIOS) and Gigabyte AMD Radeon RX 550/550X 2GB on Ubuntu 19.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/1910071-PTS-COREI97975 .
Core i9 7960X Ubuntu 19.04 Intel Perf Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server Display Driver OpenGL Compiler File-System Screen Resolution Intel Core i9-7960X Intel Core i9-7960X @ 4.40GHz (16 Cores / 32 Threads) MSI X299 SLI PLUS (MS-7A93) v1.0 (1.A0 BIOS) Intel Sky Lake-E DMI3 Registers 16384MB 256GB INTEL SSDPEKKW256G8 Gigabyte AMD Radeon RX 550/550X 2GB (1206/1750MHz) Realtek ALC1220 ASUS VP28U Intel I219-V + Intel I211 Ubuntu 19.04 5.0.20-050020-generic (x86_64) GNOME Shell 3.32.0 X Server 1.20.4 modesetting 1.20.4 4.5 Mesa 19.0.2 (LLVM 8.0.0) 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 - l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + 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 __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling
Core i9 7960X Ubuntu 19.04 Intel Perf lczero: BLAS lczero: Rand dav1d: Chimera 1080p dav1d: Summer Nature 4K dav1d: Summer Nature 1080p dav1d: Chimera 1080p 10-bit libgav1: Chimera 1080p libgav1: Summer Nature 4K libgav1: Summer Nature 1080p libgav1: Chimera 1080p 10-bit mkl-dnn: IP Batch 1D - f32 mkl-dnn: IP Batch All - f32 mkl-dnn: IP Batch 1D - u8s8f32 mkl-dnn: IP Batch All - u8s8f32 mkl-dnn: IP Batch 1D - bf16bf16bf16 mkl-dnn: IP Batch All - bf16bf16bf16 mkl-dnn: Convolution Batch conv_3d - f32 mkl-dnn: Convolution Batch conv_all - f32 mkl-dnn: Convolution Batch conv_3d - u8s8f32 mkl-dnn: Deconvolution Batch deconv_1d - f32 mkl-dnn: Deconvolution Batch deconv_3d - f32 mkl-dnn: Convolution Batch conv_alexnet - f32 mkl-dnn: Convolution Batch conv_all - u8s8f32 mkl-dnn: Deconvolution Batch deconv_all - f32 mkl-dnn: Deconvolution Batch deconv_1d - u8s8f32 mkl-dnn: Deconvolution Batch deconv_3d - u8s8f32 mkl-dnn: Recurrent Neural Network Training - f32 mkl-dnn: Convolution Batch conv_3d - bf16bf16bf16 mkl-dnn: Convolution Batch conv_alexnet - u8s8f32 mkl-dnn: Convolution Batch conv_all - bf16bf16bf16 mkl-dnn: Convolution Batch conv_googlenet_v3 - f32 mkl-dnn: Deconvolution Batch deconv_1d - bf16bf16bf16 mkl-dnn: Deconvolution Batch deconv_3d - bf16bf16bf16 mkl-dnn: Convolution Batch conv_alexnet - bf16bf16bf16 mkl-dnn: Convolution Batch conv_googlenet_v3 - u8s8f32 mkl-dnn: Deconvolution Batch deconv_all - bf16bf16bf16 mkl-dnn: Convolution Batch conv_googlenet_v3 - bf16bf16bf16 ospray: San Miguel - SciVis ospray: XFrog Forest - SciVis ospray: San Miguel - Path Tracer ospray: NASA Streamlines - SciVis ospray: XFrog Forest - Path Tracer ospray: Magnetic Reconnection - SciVis ospray: NASA Streamlines - Path Tracer ospray: Magnetic Reconnection - Path Tracer aom-av1: AV1 Video Encoding embree: Pathtracer - Crown embree: Pathtracer ISPC - Crown embree: Pathtracer - Asian Dragon embree: Pathtracer - Asian Dragon Obj embree: Pathtracer ISPC - Asian Dragon embree: Pathtracer ISPC - Asian Dragon Obj svt-av1: Enc Mode 0 - 1080p svt-av1: Enc Mode 4 - 1080p svt-av1: Enc Mode 8 - 1080p oidn: Memorial luxcorerender: DLSC luxcorerender: Rainbow Colors and Prism tungsten: Hair tungsten: Water Caustic tungsten: Non-Exponential tungsten: Volumetric Caustic pgbench: Mostly RAM - Normal Load - Read Only pgbench: Buffer Test - Normal Load - Read Only pgbench: Mostly RAM - Normal Load - Read Write pgbench: Buffer Test - Normal Load - Read Write pgbench: Mostly RAM - Single Thread - Read Only pgbench: Buffer Test - Single Thread - Read Only pgbench: Mostly RAM - Single Thread - Read Write pgbench: Buffer Test - Single Thread - Read Write pgbench: Mostly RAM - Heavy Contention - Read Only pgbench: Buffer Test - Heavy Contention - Read Only pgbench: Mostly RAM - Heavy Contention - Read Write pgbench: Buffer Test - Heavy Contention - Read Write blender: BMW27 - CPU-Only blender: Classroom - CPU-Only blender: Fishy Cat - CPU-Only blender: Barbershop - CPU-Only blender: Pabellon Barcelona - CPU-Only Intel Core i9-7960X 41.77 232472 615.52 198.10 551.38 73.61 67.42 28.77 105.33 23.28 5.06 13.96 0.83 4.66 4.84 23.18 11.97 1141.48 10300.57 1.85 2.67 131.43 5268.31 1025.28 1.02 5754.60 143.48 21.93 88.13 5351.41 63.94 9.26 11.65 977.96 38.37 3723.19 252.56 27.03 4.44 2.41 35.71 2.44 29.41 6.62 400.00 0.11 17.49 20.19 21.06 18.92 26.56 22.79 0.06 4.84 47.63 21.11 2.61 2.47 16.75 22.06 6.45 7.85 65951.62 449279.26 2995.34 11378.35 4669.52 28997.90 653.43 703.16 66717.55 444875.00 3287.60 10793.99 101.94 278.30 154.04 394.86 359.40 OpenBenchmarking.org
LeelaChessZero Backend: BLAS OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.22.0 Backend: BLAS Intel Core i9-7960X 10 20 30 40 50 SE +/- 0.96, N = 15 41.77 1. (CXX) g++ options: -lpthread
LeelaChessZero Backend: Random OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.22.0 Backend: Random Intel Core i9-7960X 50K 100K 150K 200K 250K SE +/- 706.13, N = 3 232472 1. (CXX) g++ options: -lpthread
dav1d Video Input: Chimera 1080p OpenBenchmarking.org FPS, More Is Better dav1d 0.4.0 Video Input: Chimera 1080p Intel Core i9-7960X 130 260 390 520 650 SE +/- 2.03, N = 3 615.52 MIN: 472.11 / MAX: 771.39 1. (CC) gcc options: -pthread
dav1d Video Input: Summer Nature 4K OpenBenchmarking.org FPS, More Is Better dav1d 0.4.0 Video Input: Summer Nature 4K Intel Core i9-7960X 40 80 120 160 200 SE +/- 0.25, N = 3 198.10 MIN: 154.47 / MAX: 215.28 1. (CC) gcc options: -pthread
dav1d Video Input: Summer Nature 1080p OpenBenchmarking.org FPS, More Is Better dav1d 0.4.0 Video Input: Summer Nature 1080p Intel Core i9-7960X 120 240 360 480 600 SE +/- 4.34, N = 3 551.38 MIN: 402.09 / MAX: 607.88 1. (CC) gcc options: -pthread
dav1d Video Input: Chimera 1080p 10-bit OpenBenchmarking.org FPS, More Is Better dav1d 0.4.0 Video Input: Chimera 1080p 10-bit Intel Core i9-7960X 16 32 48 64 80 SE +/- 0.12, N = 3 73.61 MIN: 45.22 / MAX: 169.11 1. (CC) gcc options: -pthread
libgav1 Video Input: Chimera 1080p OpenBenchmarking.org FPS, More Is Better libgav1 2019-10-05 Video Input: Chimera 1080p Intel Core i9-7960X 15 30 45 60 75 SE +/- 0.02, N = 3 67.42 1. (CXX) g++ options: -O3 -lpthread
libgav1 Video Input: Summer Nature 4K OpenBenchmarking.org FPS, More Is Better libgav1 2019-10-05 Video Input: Summer Nature 4K Intel Core i9-7960X 7 14 21 28 35 SE +/- 0.01, N = 3 28.77 1. (CXX) g++ options: -O3 -lpthread
libgav1 Video Input: Summer Nature 1080p OpenBenchmarking.org FPS, More Is Better libgav1 2019-10-05 Video Input: Summer Nature 1080p Intel Core i9-7960X 20 40 60 80 100 SE +/- 0.13, N = 3 105.33 1. (CXX) g++ options: -O3 -lpthread
libgav1 Video Input: Chimera 1080p 10-bit OpenBenchmarking.org FPS, More Is Better libgav1 2019-10-05 Video Input: Chimera 1080p 10-bit Intel Core i9-7960X 6 12 18 24 30 SE +/- 0.00, N = 3 23.28 1. (CXX) g++ options: -O3 -lpthread
MKL-DNN DNNL Harness: IP Batch 1D - Data Type: f32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: IP Batch 1D - Data Type: f32 Intel Core i9-7960X 1.1385 2.277 3.4155 4.554 5.6925 SE +/- 0.08, N = 3 5.06 MIN: 3.96 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
MKL-DNN DNNL Harness: IP Batch All - Data Type: f32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: IP Batch All - Data Type: f32 Intel Core i9-7960X 4 8 12 16 20 SE +/- 0.04, N = 3 13.96 MIN: 13.56 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
MKL-DNN DNNL Harness: IP Batch 1D - Data Type: u8s8f32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: IP Batch 1D - Data Type: u8s8f32 Intel Core i9-7960X 0.1868 0.3736 0.5604 0.7472 0.934 SE +/- 0.00, N = 3 0.83 MIN: 0.81 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
MKL-DNN DNNL Harness: IP Batch All - Data Type: u8s8f32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: IP Batch All - Data Type: u8s8f32 Intel Core i9-7960X 1.0485 2.097 3.1455 4.194 5.2425 SE +/- 0.06, N = 3 4.66 MIN: 4.33 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
MKL-DNN DNNL Harness: IP Batch 1D - Data Type: bf16bf16bf16 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: IP Batch 1D - Data Type: bf16bf16bf16 Intel Core i9-7960X 1.089 2.178 3.267 4.356 5.445 SE +/- 0.00, N = 3 4.84 MIN: 4.75 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
MKL-DNN DNNL Harness: IP Batch All - Data Type: bf16bf16bf16 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: IP Batch All - Data Type: bf16bf16bf16 Intel Core i9-7960X 6 12 18 24 30 SE +/- 0.16, N = 3 23.18 MIN: 8.71 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
MKL-DNN DNNL Harness: Convolution Batch conv_3d - Data Type: f32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_3d - Data Type: f32 Intel Core i9-7960X 3 6 9 12 15 SE +/- 0.04, N = 3 11.97 MIN: 11.79 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
MKL-DNN DNNL Harness: Convolution Batch conv_all - Data Type: f32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_all - Data Type: f32 Intel Core i9-7960X 200 400 600 800 1000 SE +/- 0.28, N = 3 1141.48 MIN: 1133.15 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
MKL-DNN DNNL Harness: Convolution Batch conv_3d - Data Type: u8s8f32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_3d - Data Type: u8s8f32 Intel Core i9-7960X 2K 4K 6K 8K 10K SE +/- 4.57, N = 3 10300.57 MIN: 10286.2 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
MKL-DNN DNNL Harness: Deconvolution Batch deconv_1d - Data Type: f32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Deconvolution Batch deconv_1d - Data Type: f32 Intel Core i9-7960X 0.4163 0.8326 1.2489 1.6652 2.0815 SE +/- 0.00, N = 3 1.85 MIN: 1.81 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
MKL-DNN DNNL Harness: Deconvolution Batch deconv_3d - Data Type: f32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Deconvolution Batch deconv_3d - Data Type: f32 Intel Core i9-7960X 0.6008 1.2016 1.8024 2.4032 3.004 SE +/- 0.01, N = 3 2.67 MIN: 2.63 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
MKL-DNN DNNL Harness: Convolution Batch conv_alexnet - Data Type: f32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_alexnet - Data Type: f32 Intel Core i9-7960X 30 60 90 120 150 SE +/- 0.11, N = 3 131.43 MIN: 130.76 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
MKL-DNN DNNL Harness: Convolution Batch conv_all - Data Type: u8s8f32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_all - Data Type: u8s8f32 Intel Core i9-7960X 1100 2200 3300 4400 5500 SE +/- 17.66, N = 3 5268.31 MIN: 5227.91 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
MKL-DNN DNNL Harness: Deconvolution Batch deconv_all - Data Type: f32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Deconvolution Batch deconv_all - Data Type: f32 Intel Core i9-7960X 200 400 600 800 1000 SE +/- 0.85, N = 3 1025.28 MIN: 1018.19 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
MKL-DNN DNNL Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 Intel Core i9-7960X 0.2295 0.459 0.6885 0.918 1.1475 SE +/- 0.00, N = 3 1.02 MIN: 1.01 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
MKL-DNN DNNL Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 Intel Core i9-7960X 1200 2400 3600 4800 6000 SE +/- 20.62, N = 3 5754.60 MIN: 5726.5 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
MKL-DNN DNNL Harness: Recurrent Neural Network Training - Data Type: f32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Recurrent Neural Network Training - Data Type: f32 Intel Core i9-7960X 30 60 90 120 150 SE +/- 0.23, N = 3 143.48 MIN: 141.78 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
MKL-DNN DNNL Harness: Convolution Batch conv_3d - Data Type: bf16bf16bf16 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_3d - Data Type: bf16bf16bf16 Intel Core i9-7960X 5 10 15 20 25 SE +/- 0.01, N = 3 21.93 MIN: 21.8 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
MKL-DNN DNNL Harness: Convolution Batch conv_alexnet - Data Type: u8s8f32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_alexnet - Data Type: u8s8f32 Intel Core i9-7960X 20 40 60 80 100 SE +/- 0.04, N = 3 88.13 MIN: 87.69 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
MKL-DNN DNNL Harness: Convolution Batch conv_all - Data Type: bf16bf16bf16 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_all - Data Type: bf16bf16bf16 Intel Core i9-7960X 1100 2200 3300 4400 5500 SE +/- 0.60, N = 3 5351.41 MIN: 5342.17 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
MKL-DNN DNNL Harness: Convolution Batch conv_googlenet_v3 - Data Type: f32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_googlenet_v3 - Data Type: f32 Intel Core i9-7960X 14 28 42 56 70 SE +/- 0.02, N = 3 63.94 MIN: 63.36 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
MKL-DNN DNNL Harness: Deconvolution Batch deconv_1d - Data Type: bf16bf16bf16 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Deconvolution Batch deconv_1d - Data Type: bf16bf16bf16 Intel Core i9-7960X 3 6 9 12 15 SE +/- 0.01, N = 3 9.26 MIN: 9.2 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
MKL-DNN DNNL Harness: Deconvolution Batch deconv_3d - Data Type: bf16bf16bf16 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Deconvolution Batch deconv_3d - Data Type: bf16bf16bf16 Intel Core i9-7960X 3 6 9 12 15 SE +/- 0.01, N = 3 11.65 MIN: 11.53 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
MKL-DNN DNNL Harness: Convolution Batch conv_alexnet - Data Type: bf16bf16bf16 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_alexnet - Data Type: bf16bf16bf16 Intel Core i9-7960X 200 400 600 800 1000 SE +/- 0.19, N = 3 977.96 MIN: 976.78 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
MKL-DNN DNNL Harness: Convolution Batch conv_googlenet_v3 - Data Type: u8s8f32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_googlenet_v3 - Data Type: u8s8f32 Intel Core i9-7960X 9 18 27 36 45 SE +/- 0.41, N = 7 38.37 MIN: 37.63 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
MKL-DNN DNNL Harness: Deconvolution Batch deconv_all - Data Type: bf16bf16bf16 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Deconvolution Batch deconv_all - Data Type: bf16bf16bf16 Intel Core i9-7960X 800 1600 2400 3200 4000 SE +/- 8.98, N = 3 3723.19 MIN: 3707.07 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
MKL-DNN DNNL Harness: Convolution Batch conv_googlenet_v3 - Data Type: bf16bf16bf16 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_googlenet_v3 - Data Type: bf16bf16bf16 Intel Core i9-7960X 60 120 180 240 300 SE +/- 0.05, N = 3 252.56 MIN: 252.07 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OSPray Demo: San Miguel - Renderer: SciVis OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: San Miguel - Renderer: SciVis Intel Core i9-7960X 6 12 18 24 30 SE +/- 0.00, N = 12 27.03 MIN: 25.64 / MAX: 27.78
OSPray Demo: XFrog Forest - Renderer: SciVis OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: XFrog Forest - Renderer: SciVis Intel Core i9-7960X 0.999 1.998 2.997 3.996 4.995 SE +/- 0.00, N = 12 4.44 MIN: 4.29 / MAX: 4.48
OSPray Demo: San Miguel - Renderer: Path Tracer OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: San Miguel - Renderer: Path Tracer Intel Core i9-7960X 0.5423 1.0846 1.6269 2.1692 2.7115 SE +/- 0.00, N = 12 2.41 MIN: 2.37 / MAX: 2.43
OSPray Demo: NASA Streamlines - Renderer: SciVis OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: NASA Streamlines - Renderer: SciVis Intel Core i9-7960X 8 16 24 32 40 SE +/- 0.00, N = 12 35.71 MIN: 31.25
OSPray Demo: XFrog Forest - Renderer: Path Tracer OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: XFrog Forest - Renderer: Path Tracer Intel Core i9-7960X 0.549 1.098 1.647 2.196 2.745 SE +/- 0.00, N = 12 2.44 MIN: 2.37 / MAX: 2.46
OSPray Demo: Magnetic Reconnection - Renderer: SciVis OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: Magnetic Reconnection - Renderer: SciVis Intel Core i9-7960X 7 14 21 28 35 SE +/- 0.00, N = 12 29.41 MIN: 28.57 / MAX: 30.3
OSPray Demo: NASA Streamlines - Renderer: Path Tracer OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: NASA Streamlines - Renderer: Path Tracer Intel Core i9-7960X 2 4 6 8 10 SE +/- 0.00, N = 12 6.62 MIN: 6.21 / MAX: 6.76
OSPray Demo: Magnetic Reconnection - Renderer: Path Tracer OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: Magnetic Reconnection - Renderer: Path Tracer Intel Core i9-7960X 90 180 270 360 450 SE +/- 21.82, N = 15 400.00 MIN: 333.33 / MAX: 500
AOM AV1 AV1 Video Encoding OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2019-09-16 AV1 Video Encoding Intel Core i9-7960X 0.0248 0.0496 0.0744 0.0992 0.124 SE +/- 0.00, N = 3 0.11 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
Embree Binary: Pathtracer - Model: Crown OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.6.1 Binary: Pathtracer - Model: Crown Intel Core i9-7960X 4 8 12 16 20 SE +/- 0.02, N = 3 17.49 MIN: 17.07 / MAX: 17.7
Embree Binary: Pathtracer ISPC - Model: Crown OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.6.1 Binary: Pathtracer ISPC - Model: Crown Intel Core i9-7960X 5 10 15 20 25 SE +/- 0.02, N = 3 20.19 MIN: 20.01 / MAX: 20.51
Embree Binary: Pathtracer - Model: Asian Dragon OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.6.1 Binary: Pathtracer - Model: Asian Dragon Intel Core i9-7960X 5 10 15 20 25 SE +/- 0.03, N = 3 21.06 MIN: 20.97 / MAX: 21.24
Embree Binary: Pathtracer - Model: Asian Dragon Obj OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.6.1 Binary: Pathtracer - Model: Asian Dragon Obj Intel Core i9-7960X 5 10 15 20 25 SE +/- 0.01, N = 3 18.92 MIN: 18.85 / MAX: 19.04
Embree Binary: Pathtracer ISPC - Model: Asian Dragon OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.6.1 Binary: Pathtracer ISPC - Model: Asian Dragon Intel Core i9-7960X 6 12 18 24 30 SE +/- 0.02, N = 3 26.56 MIN: 26.44 / MAX: 26.85
Embree Binary: Pathtracer ISPC - Model: Asian Dragon Obj OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.6.1 Binary: Pathtracer ISPC - Model: Asian Dragon Obj Intel Core i9-7960X 5 10 15 20 25 SE +/- 0.02, N = 3 22.79 MIN: 22.67 / MAX: 23.04
SVT-AV1 Encoder Mode: Enc Mode 0 - Input: 1080p OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 0.7 Encoder Mode: Enc Mode 0 - Input: 1080p Intel Core i9-7960X 0.0135 0.027 0.0405 0.054 0.0675 SE +/- 0.00, N = 6 0.06 1. (CXX) g++ options: -fPIE -fPIC -pie
SVT-AV1 Encoder Mode: Enc Mode 4 - Input: 1080p OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 0.7 Encoder Mode: Enc Mode 4 - Input: 1080p Intel Core i9-7960X 1.089 2.178 3.267 4.356 5.445 SE +/- 0.02, N = 3 4.84 1. (CXX) g++ options: -fPIE -fPIC -pie
SVT-AV1 Encoder Mode: Enc Mode 8 - Input: 1080p OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 0.7 Encoder Mode: Enc Mode 8 - Input: 1080p Intel Core i9-7960X 11 22 33 44 55 SE +/- 0.18, N = 3 47.63 1. (CXX) g++ options: -fPIE -fPIC -pie
Intel Open Image Denoise Scene: Memorial OpenBenchmarking.org Images / Sec, More Is Better Intel Open Image Denoise 1.0.0 Scene: Memorial Intel Core i9-7960X 5 10 15 20 25 SE +/- 0.27, N = 5 21.11
LuxCoreRender Scene: DLSC OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.2 Scene: DLSC Intel Core i9-7960X 0.5873 1.1746 1.7619 2.3492 2.9365 SE +/- 0.02, N = 10 2.61 MIN: 2.43 / MAX: 2.77
LuxCoreRender Scene: Rainbow Colors and Prism OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.2 Scene: Rainbow Colors and Prism Intel Core i9-7960X 0.5558 1.1116 1.6674 2.2232 2.779 SE +/- 0.04, N = 4 2.47 MIN: 2.4 / MAX: 2.61
Tungsten Renderer Scene: Hair OpenBenchmarking.org Seconds, Fewer Is Better Tungsten Renderer 0.2.2 Scene: Hair Intel Core i9-7960X 4 8 12 16 20 SE +/- 0.02, N = 3 16.75 1. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -mfma -mbmi2 -mavx512f -mavx512vl -mavx512cd -mavx512dq -mavx512bw -mno-sse4a -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512pf -mno-avx512er -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -ljpeg -lpthread -ldl
Tungsten Renderer Scene: Water Caustic OpenBenchmarking.org Seconds, Fewer Is Better Tungsten Renderer 0.2.2 Scene: Water Caustic Intel Core i9-7960X 5 10 15 20 25 SE +/- 0.05, N = 3 22.06 1. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -mfma -mbmi2 -mavx512f -mavx512vl -mavx512cd -mavx512dq -mavx512bw -mno-sse4a -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512pf -mno-avx512er -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -ljpeg -lpthread -ldl
Tungsten Renderer Scene: Non-Exponential OpenBenchmarking.org Seconds, Fewer Is Better Tungsten Renderer 0.2.2 Scene: Non-Exponential Intel Core i9-7960X 2 4 6 8 10 SE +/- 0.10, N = 15 6.45 1. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -mfma -mbmi2 -mavx512f -mavx512vl -mavx512cd -mavx512dq -mavx512bw -mno-sse4a -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512pf -mno-avx512er -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -ljpeg -lpthread -ldl
Tungsten Renderer Scene: Volumetric Caustic OpenBenchmarking.org Seconds, Fewer Is Better Tungsten Renderer 0.2.2 Scene: Volumetric Caustic Intel Core i9-7960X 2 4 6 8 10 SE +/- 0.02, N = 3 7.85 1. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -mfma -mbmi2 -mavx512f -mavx512vl -mavx512cd -mavx512dq -mavx512bw -mno-sse4a -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512pf -mno-avx512er -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -ljpeg -lpthread -ldl
PostgreSQL pgbench Scaling: Mostly RAM - Test: Normal Load - Mode: Read Only OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 12.0 Scaling: Mostly RAM - Test: Normal Load - Mode: Read Only Intel Core i9-7960X 14K 28K 42K 56K 70K SE +/- 622.22, N = 3 65951.62 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -lcrypt -ldl -lm
PostgreSQL pgbench Scaling: Buffer Test - Test: Normal Load - Mode: Read Only OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 12.0 Scaling: Buffer Test - Test: Normal Load - Mode: Read Only Intel Core i9-7960X 100K 200K 300K 400K 500K SE +/- 410.00, N = 3 449279.26 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -lcrypt -ldl -lm
PostgreSQL pgbench Scaling: Mostly RAM - Test: Normal Load - Mode: Read Write OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 12.0 Scaling: Mostly RAM - Test: Normal Load - Mode: Read Write Intel Core i9-7960X 600 1200 1800 2400 3000 SE +/- 129.22, N = 9 2995.34 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -lcrypt -ldl -lm
PostgreSQL pgbench Scaling: Buffer Test - Test: Normal Load - Mode: Read Write OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 12.0 Scaling: Buffer Test - Test: Normal Load - Mode: Read Write Intel Core i9-7960X 2K 4K 6K 8K 10K SE +/- 401.27, N = 12 11378.35 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -lcrypt -ldl -lm
PostgreSQL pgbench Scaling: Mostly RAM - Test: Single Thread - Mode: Read Only OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 12.0 Scaling: Mostly RAM - Test: Single Thread - Mode: Read Only Intel Core i9-7960X 1000 2000 3000 4000 5000 SE +/- 10.07, N = 3 4669.52 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -lcrypt -ldl -lm
PostgreSQL pgbench Scaling: Buffer Test - Test: Single Thread - Mode: Read Only OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 12.0 Scaling: Buffer Test - Test: Single Thread - Mode: Read Only Intel Core i9-7960X 6K 12K 18K 24K 30K SE +/- 65.94, N = 3 28997.90 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -lcrypt -ldl -lm
PostgreSQL pgbench Scaling: Mostly RAM - Test: Single Thread - Mode: Read Write OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 12.0 Scaling: Mostly RAM - Test: Single Thread - Mode: Read Write Intel Core i9-7960X 140 280 420 560 700 SE +/- 137.21, N = 6 653.43 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -lcrypt -ldl -lm
PostgreSQL pgbench Scaling: Buffer Test - Test: Single Thread - Mode: Read Write OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 12.0 Scaling: Buffer Test - Test: Single Thread - Mode: Read Write Intel Core i9-7960X 150 300 450 600 750 SE +/- 101.94, N = 15 703.16 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -lcrypt -ldl -lm
PostgreSQL pgbench Scaling: Mostly RAM - Test: Heavy Contention - Mode: Read Only OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 12.0 Scaling: Mostly RAM - Test: Heavy Contention - Mode: Read Only Intel Core i9-7960X 14K 28K 42K 56K 70K SE +/- 268.17, N = 3 66717.55 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -lcrypt -ldl -lm
PostgreSQL pgbench Scaling: Buffer Test - Test: Heavy Contention - Mode: Read Only OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 12.0 Scaling: Buffer Test - Test: Heavy Contention - Mode: Read Only Intel Core i9-7960X 100K 200K 300K 400K 500K SE +/- 842.20, N = 3 444875.00 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -lcrypt -ldl -lm
PostgreSQL pgbench Scaling: Mostly RAM - Test: Heavy Contention - Mode: Read Write OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 12.0 Scaling: Mostly RAM - Test: Heavy Contention - Mode: Read Write Intel Core i9-7960X 700 1400 2100 2800 3500 SE +/- 47.58, N = 3 3287.60 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -lcrypt -ldl -lm
PostgreSQL pgbench Scaling: Buffer Test - Test: Heavy Contention - Mode: Read Write OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 12.0 Scaling: Buffer Test - Test: Heavy Contention - Mode: Read Write Intel Core i9-7960X 2K 4K 6K 8K 10K SE +/- 429.60, N = 15 10793.99 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -lcrypt -ldl -lm
Blender Blend File: BMW27 - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.80 Blend File: BMW27 - Compute: CPU-Only Intel Core i9-7960X 20 40 60 80 100 SE +/- 0.05, N = 3 101.94
Blender Blend File: Classroom - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.80 Blend File: Classroom - Compute: CPU-Only Intel Core i9-7960X 60 120 180 240 300 SE +/- 0.11, N = 3 278.30
Blender Blend File: Fishy Cat - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.80 Blend File: Fishy Cat - Compute: CPU-Only Intel Core i9-7960X 30 60 90 120 150 SE +/- 0.07, N = 3 154.04
Blender Blend File: Barbershop - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.80 Blend File: Barbershop - Compute: CPU-Only Intel Core i9-7960X 90 180 270 360 450 SE +/- 0.38, N = 3 394.86
Blender Blend File: Pabellon Barcelona - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.80 Blend File: Pabellon Barcelona - Compute: CPU-Only Intel Core i9-7960X 80 160 240 320 400 SE +/- 0.34, N = 3 359.40
Phoronix Test Suite v10.8.4