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.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 1910071-PTS-COREI97975 Intel Core i9-7960X Processor: Intel Core i9-7960X @ 4.40GHz (16 Cores / 32 Threads), Motherboard: MSI X299 SLI PLUS (MS-7A93) v1.0 (1.A0 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 16384MB, Disk: 256GB INTEL SSDPEKKW256G8, Graphics: Gigabyte AMD Radeon RX 550/550X 2GB (1206/1750MHz), Audio: Realtek ALC1220, Monitor: ASUS VP28U, Network: Intel I219-V + Intel I211
OS: Ubuntu 19.04, Kernel: 5.0.20-050020-generic (x86_64), Desktop: GNOME Shell 3.32.0, Display Server: X Server 1.20.4, Display Driver: modesetting 1.20.4, OpenGL: 4.5 Mesa 19.0.2 (LLVM 8.0.0), Compiler: GCC 8.3.0, File-System: ext4, Screen Resolution: 3840x2160
Compiler Notes: --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 -vProcessor Notes: Scaling Governor: intel_pstate powersaveSecurity Notes: 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 OpenBenchmarking.org Phoronix Test Suite 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 Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server Display Driver OpenGL Compiler File-System Screen Resolution Core I9 7960X Ubuntu 19.04 Intel Perf Benchmarks System 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 - 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
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
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
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
MKL-DNN DNNL This is a test of the Intel MKL-DNN (DNNL / Deep Neural Network Library) as an Intel-optimized 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.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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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 Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific visualizations. OSPray builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
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
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
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
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
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
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
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
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
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
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
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
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 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.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
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
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
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 Tungsten is a C++ physically based renderer that makes use of Intel's Embree ray tracing library. Learn more via the OpenBenchmarking.org test page.
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Intel Core i9-7960X Processor: Intel Core i9-7960X @ 4.40GHz (16 Cores / 32 Threads), Motherboard: MSI X299 SLI PLUS (MS-7A93) v1.0 (1.A0 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 16384MB, Disk: 256GB INTEL SSDPEKKW256G8, Graphics: Gigabyte AMD Radeon RX 550/550X 2GB (1206/1750MHz), Audio: Realtek ALC1220, Monitor: ASUS VP28U, Network: Intel I219-V + Intel I211
OS: Ubuntu 19.04, Kernel: 5.0.20-050020-generic (x86_64), Desktop: GNOME Shell 3.32.0, Display Server: X Server 1.20.4, Display Driver: modesetting 1.20.4, OpenGL: 4.5 Mesa 19.0.2 (LLVM 8.0.0), Compiler: GCC 8.3.0, File-System: ext4, Screen Resolution: 3840x2160
Compiler Notes: --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 -vProcessor Notes: Scaling Governor: intel_pstate powersaveSecurity Notes: 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
Testing initiated at 6 October 2019 09:48 by user pts.