Intel Core i7-4790K testing with a Gigabyte Z97-HD3P (F4 BIOS) and Intel Xeon E3-1200 v3/4th Gen Core IGP on Ubuntu 19.10 via the Phoronix Test Suite.
Core i7 4790K Processor: Intel Core i7-4790K @ 4.40GHz (4 Cores / 8 Threads), Motherboard: Gigabyte Z97-HD3P (F4 BIOS), Chipset: Intel 4th Gen Core DRAM, Memory: 16384MB, Disk: 120GB OCZ TRION100, Graphics: Intel Xeon E3-1200 v3/4th Gen Core IGP (1250MHz), Audio: Intel Xeon E3-1200 v3/4th, Monitor: VE228, Network: Realtek RTL8111/8168/8411
OS: Ubuntu 19.10, Kernel: 5.3.0-13-generic (x86_64), Desktop: GNOME Shell 3.34.0, Display Server: X Server 1.20.5, Display Driver: modesetting 1.20.5, Compiler: GCC 9.2.1 20190909, File-System: ext4, Screen Resolution: 1920x1080
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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-offload-targets=nvptx-none,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vProcessor Notes: Scaling Governor: intel_pstate powersaveJava Notes: OpenJDK Runtime Environment (build 11.0.5-ea+6-post-Ubuntu-1ubuntu2)Security 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 usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling
OpenBenchmarking.org FPS, More Is Better dav1d 0.4.0 Video Input: Summer Nature 4K Core i7 4790K 16 32 48 64 80 SE +/- 0.08, N = 3 74.21 MIN: 69.69 / MAX: 83.33 1. (CC) gcc options: -pthread
OpenBenchmarking.org FPS, More Is Better dav1d 0.4.0 Video Input: Summer Nature 1080p Core i7 4790K 60 120 180 240 300 SE +/- 0.55, N = 3 257.61 MIN: 239.08 / MAX: 280.3 1. (CC) gcc options: -pthread
OpenBenchmarking.org FPS, More Is Better dav1d 0.4.0 Video Input: Chimera 1080p 10-bit Core i7 4790K 11 22 33 44 55 SE +/- 0.08, N = 3 49.49 MIN: 30.79 / MAX: 120.55 1. (CC) gcc options: -pthread
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 Core i7 4790K 2 4 6 8 10 SE +/- 0.02, N = 3 7.44 MIN: 7.25 / MAX: 7.58
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: XFrog Forest - Renderer: SciVis Core i7 4790K 0.288 0.576 0.864 1.152 1.44 SE +/- 0.00, N = 3 1.28 MIN: 1.27 / MAX: 1.29
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: XFrog Forest - Renderer: Path Tracer Core i7 4790K 0.1575 0.315 0.4725 0.63 0.7875 SE +/- 0.00, N = 3 0.70 MIN: 0.69 / MAX: 0.71
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: NASA Streamlines - Renderer: Path Tracer Core i7 4790K 0.4433 0.8866 1.3299 1.7732 2.2165 SE +/- 0.00, N = 3 1.97 MIN: 1.94 / MAX: 2
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: Magnetic Reconnection - Renderer: Path Tracer Core i7 4790K 20 40 60 80 100 SE +/- 0.00, N = 13 90.91 MIN: 62.5 / MAX: 100
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.6.1 Binary: Pathtracer ISPC - Model: Crown Core i7 4790K 1.251 2.502 3.753 5.004 6.255 SE +/- 0.02, N = 3 5.56 MIN: 5.48 / MAX: 5.68
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.6.1 Binary: Pathtracer - Model: Asian Dragon Core i7 4790K 1.3185 2.637 3.9555 5.274 6.5925 SE +/- 0.01, N = 3 5.86 MIN: 5.81 / MAX: 5.94
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.6.1 Binary: Pathtracer - Model: Asian Dragon Obj Core i7 4790K 1.1835 2.367 3.5505 4.734 5.9175 SE +/- 0.01, N = 3 5.26 MIN: 5.22 / MAX: 5.34
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.6.1 Binary: Pathtracer ISPC - Model: Asian Dragon Core i7 4790K 2 4 6 8 10 SE +/- 0.03, N = 3 6.92 MIN: 6.83 / MAX: 7.07
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.6.1 Binary: Pathtracer ISPC - Model: Asian Dragon Obj Core i7 4790K 1.3298 2.6596 3.9894 5.3192 6.649 SE +/- 0.02, N = 3 5.91 MIN: 5.85 / MAX: 6.04
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 4 - Input: 1080p Core i7 4790K 0.3128 0.6256 0.9384 1.2512 1.564 SE +/- 0.00, N = 4 1.39 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 Core i7 4790K 4 8 12 16 20 SE +/- 0.04, N = 3 15.04 1. (CXX) g++ options: -fPIE -fPIC -pie
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.org Frames Per Second, More Is Better SVT-HEVC 1.4.1 1080p 8-bit YUV To HEVC Video Encode Core i7 4790K 6 12 18 24 30 SE +/- 0.05, N = 3 23.40 1. (CC) gcc options: -fPIE -fPIC -O3 -O2 -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.org Frames Per Second, More Is Better SVT-VP9 2019-09-09 1080p 8-bit YUV To VP9 Video Encode Core i7 4790K 20 40 60 80 100 SE +/- 1.02, N = 7 90.96 1. (CC) gcc options: -fPIE -fPIC -flto -O3 -O2 -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.33 Operation: Rotate Core i7 4790K 170 340 510 680 850 SE +/- 2.19, N = 3 770 1. (CC) gcc options: -fopenmp -O2 -pthread -ljpeg -lxml2 -lz -lm -lpthread
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.33 Operation: Resizing Core i7 4790K 90 180 270 360 450 SE +/- 0.67, N = 3 423 1. (CC) gcc options: -fopenmp -O2 -pthread -ljpeg -lxml2 -lz -lm -lpthread
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.33 Operation: Noise-Gaussian Core i7 4790K 30 60 90 120 150 123 1. (CC) gcc options: -fopenmp -O2 -pthread -ljpeg -lxml2 -lz -lm -lpthread
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.33 Operation: HWB Color Space Core i7 4790K 110 220 330 440 550 514 1. (CC) gcc options: -fopenmp -O2 -pthread -ljpeg -lxml2 -lz -lm -lpthread
OpenBenchmarking.org Requests Per Second, More Is Better Redis 5.0.5 Test: SADD Core i7 4790K 400K 800K 1200K 1600K 2000K SE +/- 66643.01, N = 15 2088642.93 1. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.org Requests Per Second, More Is Better Redis 5.0.5 Test: LPUSH Core i7 4790K 400K 800K 1200K 1600K 2000K SE +/- 2156.50, N = 3 1797488.75 1. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.org Requests Per Second, More Is Better Redis 5.0.5 Test: GET Core i7 4790K 600K 1200K 1800K 2400K 3000K SE +/- 25582.75, N = 3 2757823.25 1. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.org Requests Per Second, More Is Better Redis 5.0.5 Test: SET Core i7 4790K 400K 800K 1200K 1600K 2000K SE +/- 12466.06, N = 3 2069115.42 1. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
NAS Parallel Benchmarks NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: BT.C Core i7 4790K 3K 6K 9K 12K 15K SE +/- 4.79, N = 3 13664.11 1. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi 2. Open MPI 3.1.3
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: CG.C Core i7 4790K 500 1000 1500 2000 2500 SE +/- 3.84, N = 3 2540.05 1. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi 2. Open MPI 3.1.3
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: EP.C Core i7 4790K 130 260 390 520 650 SE +/- 0.11, N = 3 602.79 1. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi 2. Open MPI 3.1.3
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: EP.D Core i7 4790K 130 260 390 520 650 SE +/- 0.49, N = 3 603.22 1. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi 2. Open MPI 3.1.3
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: FT.C Core i7 4790K 1600 3200 4800 6400 8000 SE +/- 6.59, N = 3 7271.77 1. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi 2. Open MPI 3.1.3
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: LU.C Core i7 4790K 3K 6K 9K 12K 15K SE +/- 2.09, N = 3 14082.88 1. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi 2. Open MPI 3.1.3
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: MG.C Core i7 4790K 1300 2600 3900 5200 6500 SE +/- 6.11, N = 3 6080.01 1. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi 2. Open MPI 3.1.3
OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: SP.B Core i7 4790K 800 1600 2400 3200 4000 SE +/- 12.59, N = 3 3753.65 1. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi 2. Open MPI 3.1.3
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.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: IP Batch 1D - Data Type: f32 Core i7 4790K 4 8 12 16 20 SE +/- 0.17, N = 15 17.62 MIN: 11.13 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: IP Batch All - Data Type: f32 Core i7 4790K 50 100 150 200 250 SE +/- 2.48, N = 3 231.25 MIN: 144.21 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: IP Batch 1D - Data Type: u8s8u8s32 Core i7 4790K 3 6 9 12 15 SE +/- 0.13, N = 15 10.37 MIN: 7.36 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: IP Batch 1D - Data Type: u8s8f32s32 Core i7 4790K 3 6 9 12 15 SE +/- 0.12, N = 15 10.50 MIN: 7.25 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: IP Batch All - Data Type: u8s8u8s32 Core i7 4790K 30 60 90 120 150 SE +/- 1.26, N = 3 128.95 MIN: 81.71 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: IP Batch All - Data Type: u8s8f32s32 Core i7 4790K 30 60 90 120 150 SE +/- 1.71, N = 3 130.45 MIN: 81.48 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Convolution Batch conv_3d - Data Type: f32 Core i7 4790K 9 18 27 36 45 SE +/- 0.02, N = 3 39.64 MIN: 39.36 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Convolution Batch conv_all - Data Type: f32 Core i7 4790K 1100 2200 3300 4400 5500 SE +/- 4.40, N = 3 5354.80 MIN: 5311.33 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Deconvolution Batch deconv_1d - Data Type: f32 Core i7 4790K 3 6 9 12 15 SE +/- 0.01, N = 3 11.10 MIN: 11.01 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Deconvolution Batch deconv_3d - Data Type: f32 Core i7 4790K 4 8 12 16 20 SE +/- 0.02, N = 3 15.85 MIN: 15.03 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Convolution Batch conv_alexnet - Data Type: f32 Core i7 4790K 150 300 450 600 750 SE +/- 2.68, N = 3 703.82 MIN: 688.2 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Deconvolution Batch deconv_all - Data Type: f32 Core i7 4790K 1100 2200 3300 4400 5500 SE +/- 3.81, N = 3 4997.38 MIN: 4936.84 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Convolution Batch conv_3d - Data Type: u8s8u8s32 Core i7 4790K 6K 12K 18K 24K 30K SE +/- 25.10, N = 3 28874.33 MIN: 28815.2 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Convolution Batch conv_3d - Data Type: u8s8f32s32 Core i7 4790K 6K 12K 18K 24K 30K SE +/- 4.42, N = 3 28821.23 MIN: 28778.1 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Convolution Batch conv_all - Data Type: u8s8u8s32 Core i7 4790K 7K 14K 21K 28K 35K SE +/- 115.59, N = 3 34985.30 MIN: 34265.8 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Convolution Batch conv_all - Data Type: u8s8f32s32 Core i7 4790K 7K 14K 21K 28K 35K SE +/- 99.40, N = 3 33981.37 MIN: 33366.7 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Convolution Batch conv_googlenet_v3 - Data Type: f32 Core i7 4790K 70 140 210 280 350 SE +/- 0.84, N = 3 306.24 MIN: 301.26 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Deconvolution Batch deconv_1d - Data Type: u8s8u8s32 Core i7 4790K 3K 6K 9K 12K 15K SE +/- 8.53, N = 3 12153.67 MIN: 12133.8 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Deconvolution Batch deconv_3d - Data Type: u8s8u8s32 Core i7 4790K 4K 8K 12K 16K 20K SE +/- 8.98, N = 3 18937.37 MIN: 18880.8 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Convolution Batch conv_alexnet - Data Type: u8s8u8s32 Core i7 4790K 300 600 900 1200 1500 SE +/- 8.09, N = 3 1273.52 MIN: 1219.78 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32s32 Core i7 4790K 3K 6K 9K 12K 15K SE +/- 3.79, N = 3 12234.10 MIN: 12220 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32s32 Core i7 4790K 4K 8K 12K 16K 20K SE +/- 7.65, N = 3 18971.20 MIN: 18941.1 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Deconvolution Batch deconv_all - Data Type: u8s8u8s32 Core i7 4790K 8K 16K 24K 32K 40K SE +/- 80.20, N = 3 35940.00 MIN: 35300.9 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Convolution Batch conv_alexnet - Data Type: u8s8f32s32 Core i7 4790K 300 600 900 1200 1500 SE +/- 11.90, N = 3 1242.08 MIN: 1152.67 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Convolution Batch conv_googlenet_v3 - Data Type: u8s8u8s32 Core i7 4790K 150 300 450 600 750 SE +/- 2.44, N = 3 682.16 MIN: 628.7 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Convolution Batch conv_googlenet_v3 - Data Type: u8s8f32s32 Core i7 4790K 130 260 390 520 650 SE +/- 6.16, N = 3 612.39 MIN: 558.62 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
glibc bench The GNU C Library project provides the core libraries for the GNU system and GNU/Linux systems, as well as many other systems that use Linux as the kernel. These libraries provide critical APIs including ISO C11, POSIX.1-2008, BSD, OS-specific APIs and more.
Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org nanoseconds, Fewer Is Better glibc bench 1.0 Benchmark: cos Core i7 4790K 11 22 33 44 55 SE +/- 0.15, N = 3 46.56
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 Core i7 4790K 13 26 39 52 65 SE +/- 0.05, N = 3 58.79 1. (CXX) g++ options: -std=c++0x -march=haswell -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -mfma -mbmi2 -mno-sse4a -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -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 Core i7 4790K 9 18 27 36 45 SE +/- 0.05, N = 3 41.14 1. (CXX) g++ options: -std=c++0x -march=haswell -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -mfma -mbmi2 -mno-sse4a -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -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 Core i7 4790K 4 8 12 16 20 SE +/- 0.02, N = 3 15.53 1. (CXX) g++ options: -std=c++0x -march=haswell -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -mfma -mbmi2 -mno-sse4a -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -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 Core i7 4790K 5 10 15 20 25 SE +/- 0.02, N = 3 20.18 1. (CXX) g++ options: -std=c++0x -march=haswell -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -mfma -mbmi2 -mno-sse4a -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -ljpeg -lpthread -ldl
QMCPACK QMCPACK is a modern high-performance open-source Quantum Monte Carlo (QMC) simulation code making use of MPI for this benchmark of the H20 example code. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Total Execution Time - Seconds, Fewer Is Better QMCPACK 3.8 Core i7 4790K 50 100 150 200 250 216.59 1. (CXX) g++ options: -fopenmp -fomit-frame-pointer -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -march=native -O3 -ffast-math -lm
Core i7 4790K Processor: Intel Core i7-4790K @ 4.40GHz (4 Cores / 8 Threads), Motherboard: Gigabyte Z97-HD3P (F4 BIOS), Chipset: Intel 4th Gen Core DRAM, Memory: 16384MB, Disk: 120GB OCZ TRION100, Graphics: Intel Xeon E3-1200 v3/4th Gen Core IGP (1250MHz), Audio: Intel Xeon E3-1200 v3/4th, Monitor: VE228, Network: Realtek RTL8111/8168/8411
OS: Ubuntu 19.10, Kernel: 5.3.0-13-generic (x86_64), Desktop: GNOME Shell 3.34.0, Display Server: X Server 1.20.5, Display Driver: modesetting 1.20.5, Compiler: GCC 9.2.1 20190909, File-System: ext4, Screen Resolution: 1920x1080
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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-offload-targets=nvptx-none,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vProcessor Notes: Scaling Governor: intel_pstate powersaveJava Notes: OpenJDK Runtime Environment (build 11.0.5-ea+6-post-Ubuntu-1ubuntu2)Security 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 usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling
Testing initiated at 1 October 2019 18:08 by user phoronix.