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.

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Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
Force MP500 - Intel Core i7-7900X
November 13 2019
  7 Hours, 34 Minutes
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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++,fortran
Disk Notes: NONE / errors=remount-ro,relatime,rw
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x2000064
Java Notes: OpenJDK Runtime Environment (build 11.0.3+5-Ubuntu-1ubuntu2)
Python Notes: Python 2.7.16 + Python 3.7.3
Security 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

Core i9 79800X NovemberOpenBenchmarking.orgPhoronix Test SuiteIntel 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 20191112ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionCore I9 79800X November BenchmarksSystem Logs- --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 Novembercassandra: Mixed 1:3mkl-dnn: Convolution Batch conv_all - u8s8f32mkl-dnn: Convolution Batch conv_all - bf16bf16bf16mkl-dnn: Convolution Batch conv_all - f32cassandra: Readscassandra: Mixed 1:1libgav1: Chimera 1080p 10-bitmkl-dnn: Deconvolution Batch deconv_all - bf16bf16bf16mkl-dnn: Deconvolution Batch deconv_all - f32mt-dgemm: Sustained Floating-Point Ratedav1d: Chimera 1080p 10-bitlibgav1: Chimera 1080plibgav1: Summer Nature 4Kospray: San Miguel - Path Tracersqlite: 8gromacs: Water Benchmarkospray: San Miguel - SciVisnamd: ATPase Simulation - 327,506 Atomsospray: XFrog Forest - Path Tracermkl-dnn: Convolution Batch conv_googlenet_v3 - bf16bf16bf16mkl-dnn: Convolution Batch conv_googlenet_v3 - u8s8f32mkl-dnn: Convolution Batch conv_googlenet_v3 - f32ospray: XFrog Forest - SciVismrbayes: Primate Phylogeny Analysismkl-dnn: Convolution Batch conv_3d - u8s8f32build-linux-kernel: Time To Compilecassandra: Writesaskap: tConvolve OpenMP - Degriddingaskap: tConvolve OpenMP - Griddingsqlite-speedtest: Timed Time - Size 1,000luxcorerender: DLSCluxcorerender: Rainbow Colors and Prismlibgav1: Summer Nature 1080pmkl-dnn: Deconvolution Batch deconv_3d - u8s8f32ospray: NASA Streamlines - Path Tracerhimeno: Poisson Pressure Solvermkl-dnn: IP Batch All - f32mkl-dnn: IP Batch All - bf16bf16bf16mkl-dnn: IP Batch All - u8s8f32ospray: NASA Streamlines - SciVisospray: Magnetic Reconnection - SciVissqlite: 1mkl-dnn: Convolution Batch conv_3d - bf16bf16bf16mkl-dnn: Convolution Batch conv_3d - f32minife: Smallmkl-dnn: Recurrent Neural Network Training - f32askap: tConvolve MT - Degriddingaskap: tConvolve MT - Griddingaskap: tConvolve MPI - Degriddingaskap: tConvolve MPI - Griddingdav1d: Summer Nature 4Kdav1d: Chimera 1080pmkl-dnn: Convolution Batch conv_alexnet - bf16bf16bf16mkl-dnn: Deconvolution Batch deconv_1d - bf16bf16bf16mkl-dnn: Deconvolution Batch deconv_1d - u8s8f32mkl-dnn: Deconvolution Batch deconv_1d - f32openssl: RSA 4096-bit Performancemkl-dnn: Convolution Batch conv_alexnet - u8s8f32sudokut: Total Timemkl-dnn: Convolution Batch conv_alexnet - f32mkl-dnn: IP Batch 1D - f32mkl-dnn: IP Batch 1D - bf16bf16bf16mkl-dnn: IP Batch 1D - u8s8f32n-queens: Elapsed Timesmallpt: Global Illumination Renderer; 128 Samplesdav1d: Summer Nature 1080pospray: Magnetic Reconnection - Path Traceroidn: Memorialsvt-vp9: Visual Quality Optimized - Bosphorus 1080psvt-vp9: VMAF Optimized - Bosphorus 1080psvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080pmkl-dnn: Deconvolution Batch deconv_3d - bf16bf16bf16mkl-dnn: Deconvolution Batch deconv_3d - f32optcarrot: Optimized Benchmarktscp: AI Chess Performanceior: Read Testior: Write TestForce MP500 - Intel Core i7-7900X11046843.087856.111629.19372041357318.425823.101653.403.87217860.1346.3923.321.55145.1651.28518.181.567161.59368.95854.726991.12472.9397.54713201.891.894782323314.502007.1764.2181.821.7969.808743.774.343745.31054016.005624.87666.7203923.2619.6144.45930.129017.46608260.26168.0412595.101821.192579.21782.97158.50495.171436.4713.70441.471912.623393035.9130.41310.425195.5734.892428.317401.4550713.14910.574439.29277.7816.59156.82191.02199.8216.18433.45892135.471422464594.49154.41OpenBenchmarking.org

Apache Cassandra

This is a benchmark of the Apache Cassandra NoSQL database management system making use of cassandra-stress. Learn more via the OpenBenchmarking.org test page.

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

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.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

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

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

Apache Cassandra

This is a benchmark of the Apache Cassandra NoSQL database management system making use of cassandra-stress. Learn more via the OpenBenchmarking.org test page.

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

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

libgav1

Libgav1 is an AV1 decoder developed by Google for AV1 profile 0/1 compliance. Learn more via the OpenBenchmarking.org test page.

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

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.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

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

ACES DGEMM

This is a multi-threaded DGEMM benchmark. Learn more via the OpenBenchmarking.org test page.

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

dav1d

Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

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

libgav1

Libgav1 is an AV1 decoder developed by Google for AV1 profile 0/1 compliance. Learn more via the OpenBenchmarking.org test page.

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

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

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.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

SQLite

This is a simple benchmark of SQLite. At present this test profile just measures the time to perform a pre-defined number of insertions on an indexed database. Learn more via the OpenBenchmarking.org test page.

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

GROMACS

The Gromacs molecular dynamics package testing on the CPU with the water_GMX50 data. Learn more via the OpenBenchmarking.org test page.

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

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.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

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.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

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.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

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.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

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

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

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.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

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.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

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.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

Timed Linux Kernel Compilation

This test times how long it takes to build the Linux kernel in a default configuration. Learn more via the OpenBenchmarking.org test page.

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

Apache Cassandra

This is a benchmark of the Apache Cassandra NoSQL database management system making use of cassandra-stress. Learn more via the OpenBenchmarking.org test page.

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

ASKAP

This is a CUDA benchmark of ATNF's ASKAP Benchmark with currently using the tConvolveCuda sub-test. Learn more via the OpenBenchmarking.org test page.

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

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

SQLite Speedtest

This is a benchmark of SQLite's speedtest1 benchmark program with an increased problem size of 1,000. Learn more via the OpenBenchmarking.org test page.

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

LuxCoreRender

LuxCoreRender is an open-source physically based renderer. This test profile is focused on running LuxCoreRender on the CPU as opposed to the OpenCL version. Learn more via the OpenBenchmarking.org test page.

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

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

libgav1

Libgav1 is an AV1 decoder developed by Google for AV1 profile 0/1 compliance. Learn more via the OpenBenchmarking.org test page.

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

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.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

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.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

Himeno Benchmark

The Himeno benchmark is a linear solver of pressure Poisson using a point-Jacobi method. Learn more via the OpenBenchmarking.org test page.

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

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.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

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

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

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.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

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

SQLite

This is a simple benchmark of SQLite. At present this test profile just measures the time to perform a pre-defined number of insertions on an indexed database. Learn more via the OpenBenchmarking.org test page.

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

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.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

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

miniFE

MiniFE Finite Element is an application for unstructured implicit finite element codes. Learn more via the OpenBenchmarking.org test page.

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

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.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

ASKAP

This is a CUDA benchmark of ATNF's ASKAP Benchmark with currently using the tConvolveCuda sub-test. Learn more via the OpenBenchmarking.org test page.

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

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

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

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

dav1d

Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

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

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

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.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

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

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

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

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.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

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.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

Sudokut

This is a test of Sudokut, which is a Sudoku puzzle solver written in Tcl. This test measures how long it takes to solve 100 Sudoku puzzles. Learn more via the OpenBenchmarking.org test page.

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

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.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

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

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

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

N-Queens

This is a test of the OpenMP version of a test that solves the N-queens problem. The board problem size is 18. Learn more via the OpenBenchmarking.org test page.

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

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.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

dav1d

Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

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

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.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

Intel Open Image Denoise

Open Image Denoise is a denoising library for ray-tracing and part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

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

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.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

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

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

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.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

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

Optcarrot

Optcarrot is an NES emulator benchmark for the Ruby language. Learn more via the OpenBenchmarking.org test page.

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]

TSCP

This is a performance test of TSCP, Tom Kerrigan's Simple Chess Program, which has a built-in performance benchmark. Learn more via the OpenBenchmarking.org test page.

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

IOR

IOR is a parallel I/O storage benchmark. Learn more via the OpenBenchmarking.org test page.

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

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

77 Results Shown

Apache Cassandra
MKL-DNN DNNL:
  Convolution Batch conv_all - u8s8f32
  Convolution Batch conv_all - bf16bf16bf16
  Convolution Batch conv_all - f32
Apache Cassandra:
  Reads
  Mixed 1:1
libgav1
MKL-DNN DNNL:
  Deconvolution Batch deconv_all - bf16bf16bf16
  Deconvolution Batch deconv_all - f32
ACES DGEMM
dav1d
libgav1:
  Chimera 1080p
  Summer Nature 4K
OSPray
SQLite
GROMACS
OSPray
NAMD
OSPray
MKL-DNN DNNL:
  Convolution Batch conv_googlenet_v3 - bf16bf16bf16
  Convolution Batch conv_googlenet_v3 - u8s8f32
  Convolution Batch conv_googlenet_v3 - f32
OSPray
Timed MrBayes Analysis
MKL-DNN DNNL
Timed Linux Kernel Compilation
Apache Cassandra
ASKAP:
  tConvolve OpenMP - Degridding
  tConvolve OpenMP - Gridding
SQLite Speedtest
LuxCoreRender:
  DLSC
  Rainbow Colors and Prism
libgav1
MKL-DNN DNNL
OSPray
Himeno Benchmark
MKL-DNN DNNL:
  IP Batch All - f32
  IP Batch All - bf16bf16bf16
  IP Batch All - u8s8f32
OSPray:
  NASA Streamlines - SciVis
  Magnetic Reconnection - SciVis
SQLite
MKL-DNN DNNL:
  Convolution Batch conv_3d - bf16bf16bf16
  Convolution Batch conv_3d - f32
miniFE
MKL-DNN DNNL
ASKAP:
  tConvolve MT - Degridding
  tConvolve MT - Gridding
  tConvolve MPI - Degridding
  tConvolve MPI - Gridding
dav1d:
  Summer Nature 4K
  Chimera 1080p
MKL-DNN DNNL:
  Convolution Batch conv_alexnet - bf16bf16bf16
  Deconvolution Batch deconv_1d - bf16bf16bf16
  Deconvolution Batch deconv_1d - u8s8f32
  Deconvolution Batch deconv_1d - f32
OpenSSL
MKL-DNN DNNL
Sudokut
MKL-DNN DNNL:
  Convolution Batch conv_alexnet - f32
  IP Batch 1D - f32
  IP Batch 1D - bf16bf16bf16
  IP Batch 1D - u8s8f32
N-Queens
Smallpt
dav1d
OSPray
Intel Open Image Denoise
SVT-VP9:
  Visual Quality Optimized - Bosphorus 1080p
  VMAF Optimized - Bosphorus 1080p
  PSNR/SSIM Optimized - Bosphorus 1080p
MKL-DNN DNNL:
  Deconvolution Batch deconv_3d - bf16bf16bf16
  Deconvolution Batch deconv_3d - f32
Optcarrot
TSCP
IOR:
  Read Test
  Write Test

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++,fortran
Disk Notes: NONE / errors=remount-ro,relatime,rw
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x2000064
Java Notes: OpenJDK Runtime Environment (build 11.0.3+5-Ubuntu-1ubuntu2)
Python Notes: Python 2.7.16 + Python 3.7.3
Security 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.