Core i9 79800X November

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.

HTML result view exported from: https://openbenchmarking.org/result/1911146-HU-COREI979837.

Core i9 79800X NovemberProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionForce MP500 - Intel Core i7-7900XIntel Core i7-7900X @ 4.50GHz (10 Cores / 20 Threads)ASRock X299 Extreme4 (P1.50 BIOS)Intel Sky Lake-E DMI3 Registers16384MB120GB Force MP500Zotac NVIDIA NVD9 1GBRealtek ALC1220DELL S2409WIntel I219-VUbuntu 19.045.0.0-35-generic (x86_64)GNOME Shell 3.32.1X Server 1.20.4modesetting 1.20.44.3 Mesa 19.0.2GCC 10.0.0 20191112ext41920x1080OpenBenchmarking.org- --disable-multilib --enable-checking=release --enable-languages=c,c++,fortran - NONE / errors=remount-ro,relatime,rw- Scaling Governor: intel_pstate powersave - CPU Microcode: 0x2000064- OpenJDK Runtime Environment (build 11.0.3+5-Ubuntu-1ubuntu2)- Python 2.7.16 + Python 3.7.3- 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

Core i9 79800X Novembersqlite: 1sqlite: 8ior: Write Testior: Read Testminife: Smallnamd: ATPase Simulation - 327,506 Atomsmrbayes: Primate Phylogeny Analysislibgav1: Chimera 1080plibgav1: Summer Nature 4Klibgav1: Summer Nature 1080plibgav1: Chimera 1080p 10-bittscp: AI Chess Performancemkl-dnn: IP Batch 1D - f32mkl-dnn: IP Batch All - f32mkl-dnn: IP Batch 1D - u8s8f32mkl-dnn: IP Batch All - u8s8f32mkl-dnn: IP Batch 1D - bf16bf16bf16mkl-dnn: IP Batch All - bf16bf16bf16mkl-dnn: Convolution Batch conv_3d - f32mkl-dnn: Convolution Batch conv_all - f32mkl-dnn: Convolution Batch conv_3d - u8s8f32mkl-dnn: Deconvolution Batch deconv_1d - f32mkl-dnn: Deconvolution Batch deconv_3d - f32mkl-dnn: Convolution Batch conv_alexnet - f32mkl-dnn: Convolution Batch conv_all - u8s8f32mkl-dnn: Deconvolution Batch deconv_all - f32mkl-dnn: Deconvolution Batch deconv_1d - u8s8f32mkl-dnn: Deconvolution Batch deconv_3d - u8s8f32mkl-dnn: Recurrent Neural Network Training - f32mkl-dnn: Convolution Batch conv_3d - bf16bf16bf16mkl-dnn: Convolution Batch conv_alexnet - u8s8f32mkl-dnn: Convolution Batch conv_all - bf16bf16bf16mkl-dnn: Convolution Batch conv_googlenet_v3 - f32mkl-dnn: Deconvolution Batch deconv_1d - bf16bf16bf16mkl-dnn: Deconvolution Batch deconv_3d - bf16bf16bf16mkl-dnn: Convolution Batch conv_alexnet - bf16bf16bf16mkl-dnn: Convolution Batch conv_googlenet_v3 - u8s8f32mkl-dnn: Deconvolution Batch deconv_all - bf16bf16bf16mkl-dnn: Convolution Batch conv_googlenet_v3 - bf16bf16bf16dav1d: Chimera 1080pdav1d: Summer Nature 4Kdav1d: Summer Nature 1080pdav1d: Chimera 1080p 10-bitospray: San Miguel - SciVisospray: XFrog Forest - SciVisospray: San Miguel - Path Tracerospray: NASA Streamlines - SciVisospray: XFrog Forest - Path Tracerospray: Magnetic Reconnection - SciVisospray: NASA Streamlines - Path Tracerospray: Magnetic Reconnection - Path Tracersvt-vp9: VMAF Optimized - Bosphorus 1080psvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080psvt-vp9: Visual Quality Optimized - Bosphorus 1080pmt-dgemm: Sustained Floating-Point Rateoidn: Memorialluxcorerender: DLSCluxcorerender: Rainbow Colors and Prismhimeno: Poisson Pressure Solverbuild-linux-kernel: Time To Compilesmallpt: Global Illumination Renderer; 128 Samplesn-queens: Elapsed Timesudokut: Total Timeopenssl: RSA 4096-bit Performanceaskap: tConvolve MT - Griddingaskap: tConvolve MT - Degriddingaskap: tConvolve MPI - Griddingaskap: tConvolve MPI - Degriddingaskap: tConvolve OpenMP - Griddingaskap: tConvolve OpenMP - Degriddinggromacs: Water Benchmarksqlite-speedtest: Timed Time - Size 1,000optcarrot: Optimized Benchmarkcassandra: Readscassandra: Writescassandra: Mixed 1:1cassandra: Mixed 1:3Force MP500 - Intel Core i7-7900X44.459145.165154.41594.498260.261.5671697.54746.3923.3269.8018.4214224644.8924216.00561.455076.720398.3174024.876617.46601629.1913201.82.623393.45892195.5736843.081653.401.471918743.77168.04130.1290130.4137856.1191.124713.704416.18431436.4754.72695823.10368.958495.17158.50439.2960.1318.182.931.5523.261.5919.614.34277.78191.02199.82156.823.87217816.591.821.793745.31054091.89410.57413.14910.4253035.91821.192595.101782.972579.22007.173314.501.28564.218135.473720478232135731104OpenBenchmarking.org

SQLite

Threads / Copies: 1

OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite 3.30.1Threads / Copies: 1Force MP500 - Intel Core i7-7900X1020304050SE +/- 0.25, N = 344.461. (CC) gcc options: -O2 -lz -lm -ldl -lpthread

SQLite

Threads / Copies: 8

OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite 3.30.1Threads / Copies: 8Force MP500 - Intel Core i7-7900X306090120150SE +/- 0.15, N = 3145.171. (CC) gcc options: -O2 -lz -lm -ldl -lpthread

IOR

Write Test

OpenBenchmarking.orgMB/s, More Is BetterIOR 3.2.1Write TestForce MP500 - Intel Core i7-7900X306090120150SE +/- 0.49, N = 3154.41MIN: 59.67 / MAX: 207.71. (CC) gcc options: -O2 -lm -pthread -lmpi

IOR

Read Test

OpenBenchmarking.orgMB/s, More Is BetterIOR 3.2.1Read TestForce MP500 - Intel Core i7-7900X130260390520650SE +/- 12.58, N = 3594.49MIN: 255.03 / MAX: 703.21. (CC) gcc options: -O2 -lm -pthread -lmpi

miniFE

Problem Size: Small

OpenBenchmarking.orgCG Mflops, More Is BetterminiFE 2.2Problem Size: SmallForce MP500 - Intel Core i7-7900X2K4K6K8K10KSE +/- 32.95, N = 38260.261. (CXX) g++ options: -O3 -fopenmp -pthread -lmpi_cxx -lmpi

NAMD

ATPase Simulation - 327,506 Atoms

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.13b1ATPase Simulation - 327,506 AtomsForce MP500 - Intel Core i7-7900X0.35260.70521.05781.41041.763SE +/- 0.00052, N = 51.56716

Timed MrBayes Analysis

Primate Phylogeny Analysis

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MrBayes Analysis 3.2.7Primate Phylogeny AnalysisForce MP500 - Intel Core i7-7900X20406080100SE +/- 0.05, N = 397.551. (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

libgav1

Video Input: Chimera 1080p

OpenBenchmarking.orgFPS, More Is Betterlibgav1 2019-10-05Video Input: Chimera 1080pForce MP500 - Intel Core i7-7900X1122334455SE +/- 0.02, N = 346.391. (CXX) g++ options: -O3 -lpthread

libgav1

Video Input: Summer Nature 4K

OpenBenchmarking.orgFPS, More Is Betterlibgav1 2019-10-05Video Input: Summer Nature 4KForce MP500 - Intel Core i7-7900X612182430SE +/- 0.01, N = 323.321. (CXX) g++ options: -O3 -lpthread

libgav1

Video Input: Summer Nature 1080p

OpenBenchmarking.orgFPS, More Is Betterlibgav1 2019-10-05Video Input: Summer Nature 1080pForce MP500 - Intel Core i7-7900X1632486480SE +/- 0.08, N = 369.801. (CXX) g++ options: -O3 -lpthread

libgav1

Video Input: Chimera 1080p 10-bit

OpenBenchmarking.orgFPS, More Is Betterlibgav1 2019-10-05Video Input: Chimera 1080p 10-bitForce MP500 - Intel Core i7-7900X510152025SE +/- 0.01, N = 318.421. (CXX) g++ options: -O3 -lpthread

TSCP

AI Chess Performance

OpenBenchmarking.orgNodes Per Second, More Is BetterTSCP 1.81AI Chess PerformanceForce MP500 - Intel Core i7-7900X300K600K900K1200K1500KSE +/- 733.60, N = 514224641. (CC) gcc options: -O3 -march=native

MKL-DNN DNNL

Harness: IP Batch 1D - Data Type: f32

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: IP Batch 1D - Data Type: f32Force MP500 - Intel Core i7-7900X1.10082.20163.30244.40325.504SE +/- 0.01438, N = 34.89242MIN: 4.081. (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.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: IP Batch All - Data Type: f32Force MP500 - Intel Core i7-7900X48121620SE +/- 0.03, N = 316.01MIN: 15.471. (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.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: IP Batch 1D - Data Type: u8s8f32Force MP500 - Intel Core i7-7900X0.32740.65480.98221.30961.637SE +/- 0.00746, N = 31.45507MIN: 1.411. (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.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: IP Batch All - Data Type: u8s8f32Force MP500 - Intel Core i7-7900X246810SE +/- 0.02183, N = 36.72039MIN: 6.431. (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.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: IP Batch 1D - Data Type: bf16bf16bf16Force MP500 - Intel Core i7-7900X246810SE +/- 0.03676, N = 38.31740MIN: 8.081. (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.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: IP Batch All - Data Type: bf16bf16bf16Force MP500 - Intel Core i7-7900X612182430SE +/- 0.05, N = 324.88MIN: 23.841. (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.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Convolution Batch conv_3d - Data Type: f32Force MP500 - Intel Core i7-7900X48121620SE +/- 0.02, N = 317.47MIN: 17.151. (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.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Convolution Batch conv_all - Data Type: f32Force MP500 - Intel Core i7-7900X400800120016002000SE +/- 3.43, N = 31629.19MIN: 1572.461. (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.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Convolution Batch conv_3d - Data Type: u8s8f32Force MP500 - Intel Core i7-7900X3K6K9K12K15KSE +/- 4.30, N = 313201.8MIN: 13175.71. (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.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Deconvolution Batch deconv_1d - Data Type: f32Force MP500 - Intel Core i7-7900X0.59031.18061.77092.36122.9515SE +/- 0.01516, N = 32.62339MIN: 2.541. (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.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Deconvolution Batch deconv_3d - Data Type: f32Force MP500 - Intel Core i7-7900X0.77831.55662.33493.11323.8915SE +/- 0.01152, N = 33.45892MIN: 3.41. (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.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Convolution Batch conv_alexnet - Data Type: f32Force MP500 - Intel Core i7-7900X4080120160200SE +/- 0.58, N = 3195.57MIN: 192.131. (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.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Convolution Batch conv_all - Data Type: u8s8f32Force MP500 - Intel Core i7-7900X15003000450060007500SE +/- 9.86, N = 36843.08MIN: 6819.621. (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.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Deconvolution Batch deconv_all - Data Type: f32Force MP500 - Intel Core i7-7900X400800120016002000SE +/- 0.93, N = 31653.40MIN: 1638.531. (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.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32Force MP500 - Intel Core i7-7900X0.33120.66240.99361.32481.656SE +/- 0.00304, N = 31.47191MIN: 1.451. (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.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32Force MP500 - Intel Core i7-7900X2K4K6K8K10KSE +/- 32.95, N = 38743.77MIN: 8647.091. (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.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Recurrent Neural Network Training - Data Type: f32Force MP500 - Intel Core i7-7900X4080120160200SE +/- 0.45, N = 3168.04MIN: 166.171. (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.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Convolution Batch conv_3d - Data Type: bf16bf16bf16Force MP500 - Intel Core i7-7900X714212835SE +/- 0.04, N = 330.13MIN: 29.911. (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.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Convolution Batch conv_alexnet - Data Type: u8s8f32Force MP500 - Intel Core i7-7900X306090120150SE +/- 0.21, N = 3130.41MIN: 129.641. (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.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Convolution Batch conv_all - Data Type: bf16bf16bf16Force MP500 - Intel Core i7-7900X2K4K6K8K10KSE +/- 0.27, N = 37856.11MIN: 7849.891. (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.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Convolution Batch conv_googlenet_v3 - Data Type: f32Force MP500 - Intel Core i7-7900X20406080100SE +/- 0.18, N = 391.12MIN: 87.841. (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.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Deconvolution Batch deconv_1d - Data Type: bf16bf16bf16Force MP500 - Intel Core i7-7900X48121620SE +/- 0.02, N = 313.70MIN: 13.611. (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.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Deconvolution Batch deconv_3d - Data Type: bf16bf16bf16Force MP500 - Intel Core i7-7900X48121620SE +/- 0.02, N = 316.18MIN: 16.111. (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.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Convolution Batch conv_alexnet - Data Type: bf16bf16bf16Force MP500 - Intel Core i7-7900X30060090012001500SE +/- 1.29, N = 31436.47MIN: 1433.691. (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.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Convolution Batch conv_googlenet_v3 - Data Type: u8s8f32Force MP500 - Intel Core i7-7900X1224364860SE +/- 0.05, N = 354.73MIN: 54.321. (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.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Deconvolution Batch deconv_all - Data Type: bf16bf16bf16Force MP500 - Intel Core i7-7900X12002400360048006000SE +/- 3.05, N = 35823.10MIN: 5813.21. (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.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Convolution Batch conv_googlenet_v3 - Data Type: bf16bf16bf16Force MP500 - Intel Core i7-7900X80160240320400SE +/- 0.07, N = 3368.96MIN: 367.971. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

dav1d

Video Input: Chimera 1080p

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.5.0Video Input: Chimera 1080pForce MP500 - Intel Core i7-7900X110220330440550SE +/- 0.56, N = 3495.17MIN: 389.84 / MAX: 606.181. (CC) gcc options: -pthread

dav1d

Video Input: Summer Nature 4K

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.5.0Video Input: Summer Nature 4KForce MP500 - Intel Core i7-7900X4080120160200SE +/- 0.14, N = 3158.50MIN: 132.53 / MAX: 172.511. (CC) gcc options: -pthread

dav1d

Video Input: Summer Nature 1080p

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.5.0Video Input: Summer Nature 1080pForce MP500 - Intel Core i7-7900X100200300400500SE +/- 0.79, N = 3439.29MIN: 343.83 / MAX: 480.341. (CC) gcc options: -pthread

dav1d

Video Input: Chimera 1080p 10-bit

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.5.0Video Input: Chimera 1080p 10-bitForce MP500 - Intel Core i7-7900X1326395265SE +/- 0.08, N = 360.13MIN: 37.6 / MAX: 148.891. (CC) gcc options: -pthread

OSPray

Demo: San Miguel - Renderer: SciVis

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: SciVisForce MP500 - Intel Core i7-7900X48121620SE +/- 0.00, N = 1218.18MIN: 17.54 / MAX: 18.52

OSPray

Demo: XFrog Forest - Renderer: SciVis

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: SciVisForce MP500 - Intel Core i7-7900X0.65931.31861.97792.63723.2965SE +/- 0.00, N = 52.93MIN: 2.85 / MAX: 2.95

OSPray

Demo: San Miguel - Renderer: Path Tracer

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: Path TracerForce MP500 - Intel Core i7-7900X0.34880.69761.04641.39521.744SE +/- 0.00, N = 31.55MIN: 1.53 / MAX: 1.56

OSPray

Demo: NASA Streamlines - Renderer: SciVis

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: SciVisForce MP500 - Intel Core i7-7900X612182430SE +/- 0.00, N = 1223.26MIN: 21.74 / MAX: 23.81

OSPray

Demo: XFrog Forest - Renderer: Path Tracer

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: Path TracerForce MP500 - Intel Core i7-7900X0.35780.71561.07341.43121.789SE +/- 0.00, N = 31.59MIN: 1.56 / MAX: 1.6

OSPray

Demo: Magnetic Reconnection - Renderer: SciVis

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: Magnetic Reconnection - Renderer: SciVisForce MP500 - Intel Core i7-7900X510152025SE +/- 0.00, N = 1219.61MIN: 18.18 / MAX: 20

OSPray

Demo: NASA Streamlines - Renderer: Path Tracer

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: Path TracerForce MP500 - Intel Core i7-7900X0.97651.9532.92953.9064.8825SE +/- 0.01, N = 34.34MIN: 4.22 / MAX: 4.42

OSPray

Demo: Magnetic Reconnection - Renderer: Path Tracer

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: Magnetic Reconnection - Renderer: Path TracerForce MP500 - Intel Core i7-7900X60120180240300SE +/- 10.50, N = 15277.78MIN: 250 / MAX: 333.33

SVT-VP9

Tuning: VMAF Optimized - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: VMAF Optimized - Input: Bosphorus 1080pForce MP500 - Intel Core i7-7900X4080120160200SE +/- 0.56, N = 3191.021. (CC) gcc options: -fPIE -fPIC -fvisibility=hidden -O3 -pie -rdynamic -lpthread -lrt -lm

SVT-VP9

Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pForce MP500 - Intel Core i7-7900X4080120160200SE +/- 0.20, N = 3199.821. (CC) gcc options: -fPIE -fPIC -fvisibility=hidden -O3 -pie -rdynamic -lpthread -lrt -lm

SVT-VP9

Tuning: Visual Quality Optimized - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: Visual Quality Optimized - Input: Bosphorus 1080pForce MP500 - Intel Core i7-7900X306090120150SE +/- 0.31, N = 3156.821. (CC) gcc options: -fPIE -fPIC -fvisibility=hidden -O3 -pie -rdynamic -lpthread -lrt -lm

ACES DGEMM

Sustained Floating-Point Rate

OpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateForce MP500 - Intel Core i7-7900X0.87121.74242.61363.48484.356SE +/- 0.049457, N = 123.8721781. (CC) gcc options: -O3 -march=native -fopenmp

Intel Open Image Denoise

Scene: Memorial

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.0.0Scene: MemorialForce MP500 - Intel Core i7-7900X48121620SE +/- 0.07, N = 316.59

LuxCoreRender

Scene: DLSC

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.2Scene: DLSCForce MP500 - Intel Core i7-7900X0.40950.8191.22851.6382.0475SE +/- 0.02, N = 31.82MIN: 1.75 / MAX: 1.89

LuxCoreRender

Scene: Rainbow Colors and Prism

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.2Scene: Rainbow Colors and PrismForce MP500 - Intel Core i7-7900X0.40280.80561.20841.61122.014SE +/- 0.00, N = 31.79MIN: 1.76 / MAX: 1.86

Himeno Benchmark

Poisson Pressure Solver

OpenBenchmarking.orgMFLOPS, More Is BetterHimeno Benchmark 3.0Poisson Pressure SolverForce MP500 - Intel Core i7-7900X8001600240032004000SE +/- 0.31, N = 33745.311. (CC) gcc options: -O3 -mavx2

Timed Linux Kernel Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To CompileForce MP500 - Intel Core i7-7900X20406080100SE +/- 1.04, N = 391.89

Smallpt

Global Illumination Renderer; 128 Samples

OpenBenchmarking.orgSeconds, Fewer Is BetterSmallpt 1.0Global Illumination Renderer; 128 SamplesForce MP500 - Intel Core i7-7900X3691215SE +/- 0.10, N = 310.571. (CXX) g++ options: -fopenmp -O3

N-Queens

Elapsed Time

OpenBenchmarking.orgSeconds, Fewer Is BetterN-Queens 1.0Elapsed TimeForce MP500 - Intel Core i7-7900X3691215SE +/- 0.01, N = 313.151. (CC) gcc options: -static -fopenmp -O3 -march=native

Sudokut

Total Time

OpenBenchmarking.orgSeconds, Fewer Is BetterSudokut 0.4Total TimeForce MP500 - Intel Core i7-7900X3691215SE +/- 0.13, N = 510.43

OpenSSL

RSA 4096-bit Performance

OpenBenchmarking.orgSigns Per Second, More Is BetterOpenSSL 1.1.1RSA 4096-bit PerformanceForce MP500 - Intel Core i7-7900X7001400210028003500SE +/- 4.24, N = 33035.91. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

ASKAP

Test: tConvolve MT - Gridding

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 2018-11-10Test: tConvolve MT - GriddingForce MP500 - Intel Core i7-7900X400800120016002000SE +/- 3.13, N = 31821.191. (CXX) g++ options: -lpthread

ASKAP

Test: tConvolve MT - Degridding

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 2018-11-10Test: tConvolve MT - DegriddingForce MP500 - Intel Core i7-7900X6001200180024003000SE +/- 3.87, N = 32595.101. (CXX) g++ options: -lpthread

ASKAP

Test: tConvolve MPI - Gridding

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 2018-11-10Test: tConvolve MPI - GriddingForce MP500 - Intel Core i7-7900X400800120016002000SE +/- 0.80, N = 31782.971. (CXX) g++ options: -lpthread

ASKAP

Test: tConvolve MPI - Degridding

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 2018-11-10Test: tConvolve MPI - DegriddingForce MP500 - Intel Core i7-7900X6001200180024003000SE +/- 0.83, N = 32579.21. (CXX) g++ options: -lpthread

ASKAP

Test: tConvolve OpenMP - Gridding

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 2018-11-10Test: tConvolve OpenMP - GriddingForce MP500 - Intel Core i7-7900X400800120016002000SE +/- 18.05, N = 152007.171. (CXX) g++ options: -lpthread

ASKAP

Test: tConvolve OpenMP - Degridding

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 2018-11-10Test: tConvolve OpenMP - DegriddingForce MP500 - Intel Core i7-7900X7001400210028003500SE +/- 5.18, N = 153314.501. (CXX) g++ options: -lpthread

GROMACS

Water Benchmark

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2019.4Water BenchmarkForce MP500 - Intel Core i7-7900X0.28910.57820.86731.15641.4455SE +/- 0.000, N = 31.2851. (CXX) g++ options: -mavx512f -mfma -std=c++11 -O3 -funroll-all-loops -pthread -lrt -lpthread -lm

SQLite Speedtest

Timed Time - Size 1,000

OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,000Force MP500 - Intel Core i7-7900X1428425670SE +/- 0.07, N = 364.221. (CC) gcc options: -O2 -ldl -lz -lpthread

Optcarrot

Optimized Benchmark

OpenBenchmarking.orgFPS, More Is BetterOptcarrotOptimized BenchmarkForce MP500 - Intel Core i7-7900X306090120150SE +/- 0.07, N = 4135.471. ruby 2.5.5p157 (2019-03-15 revision 67260) [x86_64-linux-gnu]

Apache Cassandra

Test: Reads

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 3.11.4Test: ReadsForce MP500 - Intel Core i7-7900X8K16K24K32K40KSE +/- 1610.44, N = 1237204

Apache Cassandra

Test: Writes

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 3.11.4Test: WritesForce MP500 - Intel Core i7-7900X20K40K60K80K100KSE +/- 332.70, N = 378232

Apache Cassandra

Test: Mixed 1:1

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 3.11.4Test: Mixed 1:1Force MP500 - Intel Core i7-7900X3K6K9K12K15KSE +/- 2819.96, N = 913573

Apache Cassandra

Test: Mixed 1:3

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 3.11.4Test: Mixed 1:3Force MP500 - Intel Core i7-7900X2004006008001000SE +/- 142.32, N = 71104

Phoronix Test Suite v10.8.4