Intel Core i7-7900X testing with a ASRock X299 Extreme4 (P1.50 BIOS) and Zotac NVIDIA NVD9 1GB on Ubuntu 19.04 via the Phoronix Test Suite.
Force MP500 - Intel Core i7-7900X Processor: Intel Core i7-7900X @ 4.50GHz (10 Cores / 20 Threads), Motherboard: ASRock X299 Extreme4 (P1.50 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 16384MB, Disk: 120GB Force MP500, Graphics: Zotac NVIDIA NVD9 1GB, Audio: Realtek ALC1220, Monitor: DELL S2409W, Network: Intel I219-V
OS: Ubuntu 19.04, Kernel: 5.0.0-35-generic (x86_64), Desktop: GNOME Shell 3.32.1, Display Server: X Server 1.20.4, Display Driver: modesetting 1.20.4, OpenGL: 4.3 Mesa 19.0.2, Compiler: GCC 10.0.0 20191112, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --disable-multilib --enable-checking=release --enable-languages=c,c++,fortranDisk Notes: NONE / errors=remount-ro,relatime,rwProcessor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x2000064Java Notes: OpenJDK Runtime Environment (build 11.0.3+5-Ubuntu-1ubuntu2)Python Notes: Python 2.7.16 + Python 3.7.3Security Notes: itlb_multihit: KVM: Mitigation of Split huge pages + 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 + tsx_async_abort: Mitigation of Clear buffers; SMT vulnerable
OpenBenchmarking.org Seconds, Fewer Is Better SQLite 3.30.1 Threads / Copies: 8 Force MP500 - Intel Core i7-7900X 30 60 90 120 150 SE +/- 0.15, N = 3 145.17 1. (CC) gcc options: -O2 -lz -lm -ldl -lpthread
OpenBenchmarking.org MB/s, More Is Better IOR 3.2.1 Read Test Force MP500 - Intel Core i7-7900X 130 260 390 520 650 SE +/- 12.58, N = 3 594.49 MIN: 255.03 / MAX: 703.2 1. (CC) gcc options: -O2 -lm -pthread -lmpi
NAMD NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org days/ns, Fewer Is Better NAMD 2.13b1 ATPase Simulation - 327,506 Atoms Force MP500 - Intel Core i7-7900X 0.3526 0.7052 1.0578 1.4104 1.763 SE +/- 0.00052, N = 5 1.56716
Timed MrBayes Analysis This test performs a bayesian analysis of a set of primate genome sequences in order to estimate their phylogeny. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Timed MrBayes Analysis 3.2.7 Primate Phylogeny Analysis Force MP500 - Intel Core i7-7900X 20 40 60 80 100 SE +/- 0.05, N = 3 97.55 1. (CC) gcc options: -mmmx -msse -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -maes -mavx -mfma -mavx2 -mavx512f -mavx512cd -mavx512vl -mavx512bw -mavx512dq -mrdrnd -mbmi -mbmi2 -madx -mmpx -mabm -O3 -std=c99 -pedantic -lm
OpenBenchmarking.org FPS, More Is Better libgav1 2019-10-05 Video Input: Summer Nature 1080p Force MP500 - Intel Core i7-7900X 16 32 48 64 80 SE +/- 0.08, N = 3 69.80 1. (CXX) g++ options: -O3 -lpthread
OpenBenchmarking.org FPS, More Is Better libgav1 2019-10-05 Video Input: Chimera 1080p 10-bit Force MP500 - Intel Core i7-7900X 5 10 15 20 25 SE +/- 0.01, N = 3 18.42 1. (CXX) g++ options: -O3 -lpthread
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 Force MP500 - Intel Core i7-7900X 1.1008 2.2016 3.3024 4.4032 5.504 SE +/- 0.01438, N = 3 4.89242 MIN: 4.08 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 Force MP500 - Intel Core i7-7900X 4 8 12 16 20 SE +/- 0.03, N = 3 16.01 MIN: 15.47 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 Force MP500 - Intel Core i7-7900X 0.3274 0.6548 0.9822 1.3096 1.637 SE +/- 0.00746, N = 3 1.45507 MIN: 1.41 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 Force MP500 - Intel Core i7-7900X 2 4 6 8 10 SE +/- 0.02183, N = 3 6.72039 MIN: 6.43 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 Force MP500 - Intel Core i7-7900X 2 4 6 8 10 SE +/- 0.03676, N = 3 8.31740 MIN: 8.08 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 Force MP500 - Intel Core i7-7900X 6 12 18 24 30 SE +/- 0.05, N = 3 24.88 MIN: 23.84 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 Force MP500 - Intel Core i7-7900X 4 8 12 16 20 SE +/- 0.02, N = 3 17.47 MIN: 17.15 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_all - Data Type: f32 Force MP500 - Intel Core i7-7900X 400 800 1200 1600 2000 SE +/- 3.43, N = 3 1629.19 MIN: 1572.46 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 Force MP500 - Intel Core i7-7900X 3K 6K 9K 12K 15K SE +/- 4.30, N = 3 13201.8 MIN: 13175.7 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 Force MP500 - Intel Core i7-7900X 0.5903 1.1806 1.7709 2.3612 2.9515 SE +/- 0.01516, N = 3 2.62339 MIN: 2.54 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 Force MP500 - Intel Core i7-7900X 0.7783 1.5566 2.3349 3.1132 3.8915 SE +/- 0.01152, N = 3 3.45892 MIN: 3.4 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 Force MP500 - Intel Core i7-7900X 40 80 120 160 200 SE +/- 0.58, N = 3 195.57 MIN: 192.13 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 Force MP500 - Intel Core i7-7900X 1500 3000 4500 6000 7500 SE +/- 9.86, N = 3 6843.08 MIN: 6819.62 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 Force MP500 - Intel Core i7-7900X 400 800 1200 1600 2000 SE +/- 0.93, N = 3 1653.40 MIN: 1638.53 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: Deconvolution Batch deconv_1d - Data Type: u8s8f32 Force MP500 - Intel Core i7-7900X 0.3312 0.6624 0.9936 1.3248 1.656 SE +/- 0.00304, N = 3 1.47191 MIN: 1.45 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 Force MP500 - Intel Core i7-7900X 2K 4K 6K 8K 10K SE +/- 32.95, N = 3 8743.77 MIN: 8647.09 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 Force MP500 - Intel Core i7-7900X 40 80 120 160 200 SE +/- 0.45, N = 3 168.04 MIN: 166.17 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_3d - Data Type: bf16bf16bf16 Force MP500 - Intel Core i7-7900X 7 14 21 28 35 SE +/- 0.04, N = 3 30.13 MIN: 29.91 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: Convolution Batch conv_alexnet - Data Type: u8s8f32 Force MP500 - Intel Core i7-7900X 30 60 90 120 150 SE +/- 0.21, N = 3 130.41 MIN: 129.64 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 Force MP500 - Intel Core i7-7900X 2K 4K 6K 8K 10K SE +/- 0.27, N = 3 7856.11 MIN: 7849.89 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 Force MP500 - Intel Core i7-7900X 20 40 60 80 100 SE +/- 0.18, N = 3 91.12 MIN: 87.84 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 Force MP500 - Intel Core i7-7900X 4 8 12 16 20 SE +/- 0.02, N = 3 13.70 MIN: 13.61 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 Force MP500 - Intel Core i7-7900X 4 8 12 16 20 SE +/- 0.02, N = 3 16.18 MIN: 16.11 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 Force MP500 - Intel Core i7-7900X 300 600 900 1200 1500 SE +/- 1.29, N = 3 1436.47 MIN: 1433.69 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_googlenet_v3 - Data Type: u8s8f32 Force MP500 - Intel Core i7-7900X 12 24 36 48 60 SE +/- 0.05, N = 3 54.73 MIN: 54.32 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 Force MP500 - Intel Core i7-7900X 1200 2400 3600 4800 6000 SE +/- 3.05, N = 3 5823.10 MIN: 5813.2 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: Convolution Batch conv_googlenet_v3 - Data Type: bf16bf16bf16 Force MP500 - Intel Core i7-7900X 80 160 240 320 400 SE +/- 0.07, N = 3 368.96 MIN: 367.97 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.org FPS, More Is Better dav1d 0.5.0 Video Input: Summer Nature 4K Force MP500 - Intel Core i7-7900X 40 80 120 160 200 SE +/- 0.14, N = 3 158.50 MIN: 132.53 / MAX: 172.51 1. (CC) gcc options: -pthread
OpenBenchmarking.org FPS, More Is Better dav1d 0.5.0 Video Input: Summer Nature 1080p Force MP500 - Intel Core i7-7900X 100 200 300 400 500 SE +/- 0.79, N = 3 439.29 MIN: 343.83 / MAX: 480.34 1. (CC) gcc options: -pthread
OpenBenchmarking.org FPS, More Is Better dav1d 0.5.0 Video Input: Chimera 1080p 10-bit Force MP500 - Intel Core i7-7900X 13 26 39 52 65 SE +/- 0.08, N = 3 60.13 MIN: 37.6 / MAX: 148.89 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 Force MP500 - Intel Core i7-7900X 4 8 12 16 20 SE +/- 0.00, N = 12 18.18 MIN: 17.54 / MAX: 18.52
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: XFrog Forest - Renderer: SciVis Force MP500 - Intel Core i7-7900X 0.6593 1.3186 1.9779 2.6372 3.2965 SE +/- 0.00, N = 5 2.93 MIN: 2.85 / MAX: 2.95
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: San Miguel - Renderer: Path Tracer Force MP500 - Intel Core i7-7900X 0.3488 0.6976 1.0464 1.3952 1.744 SE +/- 0.00, N = 3 1.55 MIN: 1.53 / MAX: 1.56
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: NASA Streamlines - Renderer: SciVis Force MP500 - Intel Core i7-7900X 6 12 18 24 30 SE +/- 0.00, N = 12 23.26 MIN: 21.74 / MAX: 23.81
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: XFrog Forest - Renderer: Path Tracer Force MP500 - Intel Core i7-7900X 0.3578 0.7156 1.0734 1.4312 1.789 SE +/- 0.00, N = 3 1.59 MIN: 1.56 / MAX: 1.6
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: Magnetic Reconnection - Renderer: SciVis Force MP500 - Intel Core i7-7900X 5 10 15 20 25 SE +/- 0.00, N = 12 19.61 MIN: 18.18 / MAX: 20
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: NASA Streamlines - Renderer: Path Tracer Force MP500 - Intel Core i7-7900X 0.9765 1.953 2.9295 3.906 4.8825 SE +/- 0.01, N = 3 4.34 MIN: 4.22 / MAX: 4.42
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: Magnetic Reconnection - Renderer: Path Tracer Force MP500 - Intel Core i7-7900X 60 120 180 240 300 SE +/- 10.50, N = 15 277.78 MIN: 250 / MAX: 333.33
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 0.1 Tuning: VMAF Optimized - Input: Bosphorus 1080p Force MP500 - Intel Core i7-7900X 40 80 120 160 200 SE +/- 0.56, N = 3 191.02 1. (CC) gcc options: -fPIE -fPIC -fvisibility=hidden -O3 -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.1 Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p Force MP500 - Intel Core i7-7900X 40 80 120 160 200 SE +/- 0.20, N = 3 199.82 1. (CC) gcc options: -fPIE -fPIC -fvisibility=hidden -O3 -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.1 Tuning: Visual Quality Optimized - Input: Bosphorus 1080p Force MP500 - Intel Core i7-7900X 30 60 90 120 150 SE +/- 0.31, N = 3 156.82 1. (CC) gcc options: -fPIE -fPIC -fvisibility=hidden -O3 -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.2 Scene: Rainbow Colors and Prism Force MP500 - Intel Core i7-7900X 0.4028 0.8056 1.2084 1.6112 2.014 SE +/- 0.00, N = 3 1.79 MIN: 1.76 / MAX: 1.86
Smallpt Smallpt is a C++ global illumination renderer written in less than 100 lines of code. Global illumination is done via unbiased Monte Carlo path tracing and there is multi-threading support via the OpenMP library. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Smallpt 1.0 Global Illumination Renderer; 128 Samples Force MP500 - Intel Core i7-7900X 3 6 9 12 15 SE +/- 0.10, N = 3 10.57 1. (CXX) g++ options: -fopenmp -O3
OpenSSL OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test measures the RSA 4096-bit performance of OpenSSL. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Signs Per Second, More Is Better OpenSSL 1.1.1 RSA 4096-bit Performance Force MP500 - Intel Core i7-7900X 700 1400 2100 2800 3500 SE +/- 4.24, N = 3 3035.9 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 2018-11-10 Test: tConvolve MT - Degridding Force MP500 - Intel Core i7-7900X 600 1200 1800 2400 3000 SE +/- 3.87, N = 3 2595.10 1. (CXX) g++ options: -lpthread
OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 2018-11-10 Test: tConvolve MPI - Gridding Force MP500 - Intel Core i7-7900X 400 800 1200 1600 2000 SE +/- 0.80, N = 3 1782.97 1. (CXX) g++ options: -lpthread
OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 2018-11-10 Test: tConvolve MPI - Degridding Force MP500 - Intel Core i7-7900X 600 1200 1800 2400 3000 SE +/- 0.83, N = 3 2579.2 1. (CXX) g++ options: -lpthread
OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 2018-11-10 Test: tConvolve OpenMP - Gridding Force MP500 - Intel Core i7-7900X 400 800 1200 1600 2000 SE +/- 18.05, N = 15 2007.17 1. (CXX) g++ options: -lpthread
OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 2018-11-10 Test: tConvolve OpenMP - Degridding Force MP500 - Intel Core i7-7900X 700 1400 2100 2800 3500 SE +/- 5.18, N = 15 3314.50 1. (CXX) g++ options: -lpthread
Force MP500 - Intel Core i7-7900X Processor: Intel Core i7-7900X @ 4.50GHz (10 Cores / 20 Threads), Motherboard: ASRock X299 Extreme4 (P1.50 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 16384MB, Disk: 120GB Force MP500, Graphics: Zotac NVIDIA NVD9 1GB, Audio: Realtek ALC1220, Monitor: DELL S2409W, Network: Intel I219-V
OS: Ubuntu 19.04, Kernel: 5.0.0-35-generic (x86_64), Desktop: GNOME Shell 3.32.1, Display Server: X Server 1.20.4, Display Driver: modesetting 1.20.4, OpenGL: 4.3 Mesa 19.0.2, Compiler: GCC 10.0.0 20191112, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --disable-multilib --enable-checking=release --enable-languages=c,c++,fortranDisk Notes: NONE / errors=remount-ro,relatime,rwProcessor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x2000064Java Notes: OpenJDK Runtime Environment (build 11.0.3+5-Ubuntu-1ubuntu2)Python Notes: Python 2.7.16 + Python 3.7.3Security Notes: itlb_multihit: KVM: Mitigation of Split huge pages + 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 + tsx_async_abort: Mitigation of Clear buffers; SMT vulnerable
Testing initiated at 13 November 2019 15:41 by user phoronix.