Core i9 10980XE

Intel Core i9-10980XE testing with a Gigabyte X299X DESIGNARE 10G (F1 BIOS) and AMD Navi 10 8GB on Ubuntu 19.10 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/1911271-HU-COREI910993&grs.

Core i9 10980XEProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionCore i9 10980XEIntel Core i9-10980XE @ 4.60GHz (18 Cores / 36 Threads)Gigabyte X299X DESIGNARE 10G (F1 BIOS)Intel Sky Lake-E DMI3 Registers32768MB240GB Force MP510AMD Navi 10 8GB (2100/875MHz)Realtek ALC1220Acer B286HK2 x Intel 10G X550T + Intel Device 2723Ubuntu 19.105.3.0-23-generic (x86_64)GNOME Shell 3.34.1X Server 1.20.5modesetting 1.20.54.5 Mesa 19.2.1 (LLVM 9.0.0)GCC 9.2.1 20191008ext43840x2160OpenBenchmarking.org- --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 -v - Scaling Governor: intel_pstate powersave - CPU Microcode: 0x500002c- Python 2.7.17rc1 + Python 3.7.5rc1- itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Not affected + mds: Not affected + meltdown: Not affected + 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 Enhanced IBRS IBPB: conditional RSB filling + tsx_async_abort: Mitigation of TSX disabled

Core i9 10980XEblender: Pabellon Barcelona - CPU-Onlyblender: Barbershop - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Classroom - CPU-Onlyblender: BMW27 - CPU-Onlygromacs: Water Benchmarkaskap: tConvolve OpenMP - Degriddingaskap: tConvolve OpenMP - Griddingaskap: tConvolve MPI - Degriddingaskap: tConvolve MPI - Griddingaskap: tConvolve MT - Degriddingaskap: tConvolve MT - Griddingbuild2: Time To Compilebuild-llvm: Time To Compilebuild-linux-kernel: Time To Compilehimeno: Poisson Pressure Solverdav1d: Chimera 1080p 10-bitdav1d: Summer Nature 1080pdav1d: Summer Nature 4Kdav1d: Chimera 1080pmkl-dnn: Convolution Batch conv_googlenet_v3 - bf16bf16bf16mkl-dnn: Deconvolution Batch deconv_all - bf16bf16bf16mkl-dnn: Convolution Batch conv_googlenet_v3 - u8s8f32mkl-dnn: Convolution Batch conv_alexnet - bf16bf16bf16mkl-dnn: Deconvolution Batch deconv_3d - bf16bf16bf16mkl-dnn: Deconvolution Batch deconv_1d - bf16bf16bf16mkl-dnn: Convolution Batch conv_all - bf16bf16bf16mkl-dnn: Convolution Batch conv_alexnet - u8s8f32mkl-dnn: Convolution Batch conv_3d - bf16bf16bf16mkl-dnn: Deconvolution Batch deconv_3d - u8s8f32mkl-dnn: Deconvolution Batch deconv_1d - u8s8f32mkl-dnn: Convolution Batch conv_all - u8s8f32mkl-dnn: Convolution Batch conv_3d - u8s8f32mkl-dnn: IP Batch All - bf16bf16bf16mkl-dnn: IP Batch 1D - bf16bf16bf16mkl-dnn: IP Batch 1D - u8s8f32namd: ATPase Simulation - 327,506 Atomsminife: Smallmkl-dnn: IP Batch All - u8s8f32Core i9 10980XE331.95373.69143.09267.9192.941.5104841.023288.122388.741573.752413.601608.4472.360225.9943.4734135.88611248.21299.94170.27275.30224.4983750.0020.9331871.39210.71828.545134766.5142.448320.12564761.120.4648523846.897715.2120.74945.740640.6537330.990206900.447.42361OpenBenchmarking.org

Blender

Blend File: Pabellon Barcelona - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.81Blend File: Pabellon Barcelona - Compute: CPU-OnlyCore i9 10980XE70140210280350SE +/- 0.12, N = 3331.95

Blender

Blend File: Barbershop - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.81Blend File: Barbershop - Compute: CPU-OnlyCore i9 10980XE80160240320400SE +/- 0.30, N = 3373.69

Blender

Blend File: Fishy Cat - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.81Blend File: Fishy Cat - Compute: CPU-OnlyCore i9 10980XE306090120150SE +/- 0.08, N = 3143.09

Blender

Blend File: Classroom - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.81Blend File: Classroom - Compute: CPU-OnlyCore i9 10980XE60120180240300SE +/- 0.30, N = 3267.91

Blender

Blend File: BMW27 - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.81Blend File: BMW27 - Compute: CPU-OnlyCore i9 10980XE20406080100SE +/- 0.03, N = 392.94

GROMACS

Water Benchmark

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2019.4Water BenchmarkCore i9 10980XE0.33980.67961.01941.35921.699SE +/- 0.000, N = 121.5101. (CXX) g++ options: -mavx512f -mfma -std=c++11 -O3 -funroll-all-loops -pthread -lrt -lpthread -lm

ASKAP

Test: tConvolve OpenMP - Degridding

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 2018-11-10Test: tConvolve OpenMP - DegriddingCore i9 10980XE10002000300040005000SE +/- 0.00, N = 34841.021. (CXX) g++ options: -lpthread

ASKAP

Test: tConvolve OpenMP - Gridding

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 2018-11-10Test: tConvolve OpenMP - GriddingCore i9 10980XE7001400210028003500SE +/- 41.10, N = 33288.121. (CXX) g++ options: -lpthread

ASKAP

Test: tConvolve MPI - Degridding

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 2018-11-10Test: tConvolve MPI - DegriddingCore i9 10980XE5001000150020002500SE +/- 0.79, N = 32388.741. (CXX) g++ options: -lpthread

ASKAP

Test: tConvolve MPI - Gridding

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 2018-11-10Test: tConvolve MPI - GriddingCore i9 10980XE30060090012001500SE +/- 0.46, N = 31573.751. (CXX) g++ options: -lpthread

ASKAP

Test: tConvolve MT - Degridding

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 2018-11-10Test: tConvolve MT - DegriddingCore i9 10980XE5001000150020002500SE +/- 0.40, N = 32413.601. (CXX) g++ options: -lpthread

ASKAP

Test: tConvolve MT - Gridding

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 2018-11-10Test: tConvolve MT - GriddingCore i9 10980XE30060090012001500SE +/- 0.36, N = 31608.441. (CXX) g++ options: -lpthread

Build2

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.12Time To CompileCore i9 10980XE1632486480SE +/- 0.20, N = 372.36

Timed LLVM Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 6.0.1Time To CompileCore i9 10980XE50100150200250225.99

Timed Linux Kernel Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To CompileCore i9 10980XE1020304050SE +/- 0.47, N = 743.47

Himeno Benchmark

Poisson Pressure Solver

OpenBenchmarking.orgMFLOPS, More Is BetterHimeno Benchmark 3.0Poisson Pressure SolverCore i9 10980XE9001800270036004500SE +/- 11.12, N = 34135.891. (CC) gcc options: -O3 -mavx2

dav1d

Video Input: Chimera 1080p 10-bit

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.5.0Video Input: Chimera 1080p 10-bitCore i9 10980XE1122334455SE +/- 0.06, N = 348.21MIN: 32.67 / MAX: 103.461. (CC) gcc options: -pthread

dav1d

Video Input: Summer Nature 1080p

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.5.0Video Input: Summer Nature 1080pCore i9 10980XE70140210280350SE +/- 0.88, N = 3299.94MIN: 188.75 / MAX: 326.811. (CC) gcc options: -pthread

dav1d

Video Input: Summer Nature 4K

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.5.0Video Input: Summer Nature 4KCore i9 10980XE4080120160200SE +/- 0.87, N = 3170.27MIN: 100.45 / MAX: 182.191. (CC) gcc options: -pthread

dav1d

Video Input: Chimera 1080p

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.5.0Video Input: Chimera 1080pCore i9 10980XE60120180240300SE +/- 0.46, N = 3275.30MIN: 216.13 / MAX: 336.871. (CC) gcc options: -pthread

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: bf16bf16bf16Core i9 10980XE50100150200250SE +/- 0.03, N = 3224.50MIN: 223.61. (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: bf16bf16bf16Core i9 10980XE8001600240032004000SE +/- 0.56, N = 33750.00MIN: 3744.261. (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: u8s8f32Core i9 10980XE510152025SE +/- 0.01, N = 320.93MIN: 20.531. (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: bf16bf16bf16Core i9 10980XE2004006008001000SE +/- 2.06, N = 3871.39MIN: 868.491. (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: bf16bf16bf16Core i9 10980XE3691215SE +/- 0.01, N = 310.72MIN: 10.61. (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: bf16bf16bf16Core i9 10980XE246810SE +/- 0.01735, N = 38.54513MIN: 8.481. (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: bf16bf16bf16Core i9 10980XE10002000300040005000SE +/- 0.39, N = 34766.51MIN: 4757.151. (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: u8s8f32Core i9 10980XE1020304050SE +/- 0.07, N = 342.45MIN: 41.791. (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: bf16bf16bf16Core i9 10980XE510152025SE +/- 0.01, N = 320.13MIN: 19.921. (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: u8s8f32Core i9 10980XE10002000300040005000SE +/- 1.50, N = 34761.12MIN: 4758.061. (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: u8s8f32Core i9 10980XE0.10460.20920.31380.41840.523SE +/- 0.004036, N = 150.464852MIN: 0.451. (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: u8s8f32Core i9 10980XE8001600240032004000SE +/- 10.85, N = 33846.89MIN: 3805.981. (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: u8s8f32Core i9 10980XE17003400510068008500SE +/- 12.23, N = 37715.21MIN: 7662.741. (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: bf16bf16bf16Core i9 10980XE510152025SE +/- 0.27, N = 320.75MIN: 18.561. (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: bf16bf16bf16Core i9 10980XE1.29162.58323.87485.16646.458SE +/- 0.00504, N = 35.74064MIN: 5.461. (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: u8s8f32Core i9 10980XE0.14710.29420.44130.58840.7355SE +/- 0.001733, N = 30.653733MIN: 0.611. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

NAMD

ATPase Simulation - 327,506 Atoms

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.13b1ATPase Simulation - 327,506 AtomsCore i9 10980XE0.22280.44560.66840.89121.114SE +/- 0.00647, N = 30.99020

miniFE

Problem Size: Small

OpenBenchmarking.orgCG Mflops, More Is BetterminiFE 2.2Problem Size: SmallCore i9 10980XE15003000450060007500SE +/- 15.44, N = 36900.441. (CXX) g++ options: -O3 -fopenmp -pthread -lmpi_cxx -lmpi

MKL-DNN DNNL

Harness: IP Batch All - Data Type: u8s8f32

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: IP Batch All - Data Type: u8s8f32Core i9 10980XE246810SE +/- 1.89064, N = 127.42361MIN: 4.21. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

Phoronix Test Suite v10.8.5