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.
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phoronix-test-suite benchmark 1911271-HU-COREI910993 Core i9 10980XE - Phoronix Test Suite 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&gru .
Core i9 10980XE Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server Display Driver OpenGL Compiler File-System Screen Resolution Core i9 10980XE Intel Core i9-10980XE @ 4.60GHz (18 Cores / 36 Threads) Gigabyte X299X DESIGNARE 10G (F1 BIOS) Intel Sky Lake-E DMI3 Registers 32768MB 240GB Force MP510 AMD Navi 10 8GB (2100/875MHz) Realtek ALC1220 Acer B286HK 2 x Intel 10G X550T + Intel Device 2723 Ubuntu 19.10 5.3.0-23-generic (x86_64) GNOME Shell 3.34.1 X Server 1.20.5 modesetting 1.20.5 4.5 Mesa 19.2.1 (LLVM 9.0.0) GCC 9.2.1 20191008 ext4 3840x2160 OpenBenchmarking.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 10980XE minife: Small dav1d: Chimera 1080p dav1d: Summer Nature 4K dav1d: Summer Nature 1080p dav1d: Chimera 1080p 10-bit himeno: Poisson Pressure Solver askap: tConvolve MT - Gridding askap: tConvolve MT - Degridding askap: tConvolve MPI - Gridding askap: tConvolve MPI - Degridding askap: tConvolve OpenMP - Gridding askap: tConvolve OpenMP - Degridding gromacs: Water Benchmark namd: ATPase Simulation - 327,506 Atoms mkl-dnn: IP Batch 1D - u8s8f32 mkl-dnn: IP Batch All - u8s8f32 mkl-dnn: IP Batch 1D - bf16bf16bf16 mkl-dnn: IP Batch All - bf16bf16bf16 mkl-dnn: Convolution Batch conv_3d - u8s8f32 mkl-dnn: Convolution Batch conv_all - u8s8f32 mkl-dnn: Deconvolution Batch deconv_1d - u8s8f32 mkl-dnn: Deconvolution Batch deconv_3d - u8s8f32 mkl-dnn: Convolution Batch conv_3d - bf16bf16bf16 mkl-dnn: Convolution Batch conv_alexnet - u8s8f32 mkl-dnn: Convolution Batch conv_all - bf16bf16bf16 mkl-dnn: Deconvolution Batch deconv_1d - bf16bf16bf16 mkl-dnn: Deconvolution Batch deconv_3d - bf16bf16bf16 mkl-dnn: Convolution Batch conv_alexnet - bf16bf16bf16 mkl-dnn: Convolution Batch conv_googlenet_v3 - u8s8f32 mkl-dnn: Deconvolution Batch deconv_all - bf16bf16bf16 mkl-dnn: Convolution Batch conv_googlenet_v3 - bf16bf16bf16 build-linux-kernel: Time To Compile build-llvm: Time To Compile build2: Time To Compile blender: BMW27 - CPU-Only blender: Classroom - CPU-Only blender: Fishy Cat - CPU-Only blender: Barbershop - CPU-Only blender: Pabellon Barcelona - CPU-Only Core i9 10980XE 6900.44 275.30 170.27 299.94 48.21 4135.886112 1608.44 2413.60 1573.75 2388.74 3288.12 4841.02 1.510 0.99020 0.653733 7.42361 5.74064 20.7494 7715.21 3846.89 0.464852 4761.12 20.1256 42.4483 4766.51 8.54513 10.7182 871.392 20.9331 3750.00 224.498 43.473 225.99 72.360 92.94 267.91 143.09 373.69 331.95 OpenBenchmarking.org
miniFE Problem Size: Small OpenBenchmarking.org CG Mflops, More Is Better miniFE 2.2 Problem Size: Small Core i9 10980XE 1500 3000 4500 6000 7500 SE +/- 15.44, N = 3 6900.44 1. (CXX) g++ options: -O3 -fopenmp -pthread -lmpi_cxx -lmpi
dav1d Video Input: Chimera 1080p OpenBenchmarking.org FPS, More Is Better dav1d 0.5.0 Video Input: Chimera 1080p Core i9 10980XE 60 120 180 240 300 SE +/- 0.46, N = 3 275.30 MIN: 216.13 / MAX: 336.87 1. (CC) gcc options: -pthread
dav1d Video Input: Summer Nature 4K OpenBenchmarking.org FPS, More Is Better dav1d 0.5.0 Video Input: Summer Nature 4K Core i9 10980XE 40 80 120 160 200 SE +/- 0.87, N = 3 170.27 MIN: 100.45 / MAX: 182.19 1. (CC) gcc options: -pthread
dav1d Video Input: Summer Nature 1080p OpenBenchmarking.org FPS, More Is Better dav1d 0.5.0 Video Input: Summer Nature 1080p Core i9 10980XE 70 140 210 280 350 SE +/- 0.88, N = 3 299.94 MIN: 188.75 / MAX: 326.81 1. (CC) gcc options: -pthread
dav1d Video Input: Chimera 1080p 10-bit OpenBenchmarking.org FPS, More Is Better dav1d 0.5.0 Video Input: Chimera 1080p 10-bit Core i9 10980XE 11 22 33 44 55 SE +/- 0.06, N = 3 48.21 MIN: 32.67 / MAX: 103.46 1. (CC) gcc options: -pthread
Himeno Benchmark Poisson Pressure Solver OpenBenchmarking.org MFLOPS, More Is Better Himeno Benchmark 3.0 Poisson Pressure Solver Core i9 10980XE 900 1800 2700 3600 4500 SE +/- 11.12, N = 3 4135.89 1. (CC) gcc options: -O3 -mavx2
ASKAP Test: tConvolve MT - Gridding OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 2018-11-10 Test: tConvolve MT - Gridding Core i9 10980XE 300 600 900 1200 1500 SE +/- 0.36, N = 3 1608.44 1. (CXX) g++ options: -lpthread
ASKAP Test: tConvolve MT - Degridding OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 2018-11-10 Test: tConvolve MT - Degridding Core i9 10980XE 500 1000 1500 2000 2500 SE +/- 0.40, N = 3 2413.60 1. (CXX) g++ options: -lpthread
ASKAP Test: tConvolve MPI - Gridding OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 2018-11-10 Test: tConvolve MPI - Gridding Core i9 10980XE 300 600 900 1200 1500 SE +/- 0.46, N = 3 1573.75 1. (CXX) g++ options: -lpthread
ASKAP Test: tConvolve MPI - Degridding OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 2018-11-10 Test: tConvolve MPI - Degridding Core i9 10980XE 500 1000 1500 2000 2500 SE +/- 0.79, N = 3 2388.74 1. (CXX) g++ options: -lpthread
ASKAP Test: tConvolve OpenMP - Gridding OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 2018-11-10 Test: tConvolve OpenMP - Gridding Core i9 10980XE 700 1400 2100 2800 3500 SE +/- 41.10, N = 3 3288.12 1. (CXX) g++ options: -lpthread
ASKAP Test: tConvolve OpenMP - Degridding OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 2018-11-10 Test: tConvolve OpenMP - Degridding Core i9 10980XE 1000 2000 3000 4000 5000 SE +/- 0.00, N = 3 4841.02 1. (CXX) g++ options: -lpthread
GROMACS Water Benchmark OpenBenchmarking.org Ns Per Day, More Is Better GROMACS 2019.4 Water Benchmark Core i9 10980XE 0.3398 0.6796 1.0194 1.3592 1.699 SE +/- 0.000, N = 12 1.510 1. (CXX) g++ options: -mavx512f -mfma -std=c++11 -O3 -funroll-all-loops -pthread -lrt -lpthread -lm
NAMD ATPase Simulation - 327,506 Atoms OpenBenchmarking.org days/ns, Fewer Is Better NAMD 2.13b1 ATPase Simulation - 327,506 Atoms Core i9 10980XE 0.2228 0.4456 0.6684 0.8912 1.114 SE +/- 0.00647, N = 3 0.99020
MKL-DNN DNNL Harness: IP Batch 1D - Data Type: u8s8f32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: IP Batch 1D - Data Type: u8s8f32 Core i9 10980XE 0.1471 0.2942 0.4413 0.5884 0.7355 SE +/- 0.001733, N = 3 0.653733 MIN: 0.61 1. (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.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: IP Batch All - Data Type: u8s8f32 Core i9 10980XE 2 4 6 8 10 SE +/- 1.89064, N = 12 7.42361 MIN: 4.2 1. (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.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: IP Batch 1D - Data Type: bf16bf16bf16 Core i9 10980XE 1.2916 2.5832 3.8748 5.1664 6.458 SE +/- 0.00504, N = 3 5.74064 MIN: 5.46 1. (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.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: IP Batch All - Data Type: bf16bf16bf16 Core i9 10980XE 5 10 15 20 25 SE +/- 0.27, N = 3 20.75 MIN: 18.56 1. (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.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_3d - Data Type: u8s8f32 Core i9 10980XE 1700 3400 5100 6800 8500 SE +/- 12.23, N = 3 7715.21 MIN: 7662.74 1. (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.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_all - Data Type: u8s8f32 Core i9 10980XE 800 1600 2400 3200 4000 SE +/- 10.85, N = 3 3846.89 MIN: 3805.98 1. (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.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 Core i9 10980XE 0.1046 0.2092 0.3138 0.4184 0.523 SE +/- 0.004036, N = 15 0.464852 MIN: 0.45 1. (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.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 Core i9 10980XE 1000 2000 3000 4000 5000 SE +/- 1.50, N = 3 4761.12 MIN: 4758.06 1. (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.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_3d - Data Type: bf16bf16bf16 Core i9 10980XE 5 10 15 20 25 SE +/- 0.01, N = 3 20.13 MIN: 19.92 1. (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.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_alexnet - Data Type: u8s8f32 Core i9 10980XE 10 20 30 40 50 SE +/- 0.07, N = 3 42.45 MIN: 41.79 1. (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.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_all - Data Type: bf16bf16bf16 Core i9 10980XE 1000 2000 3000 4000 5000 SE +/- 0.39, N = 3 4766.51 MIN: 4757.15 1. (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.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Deconvolution Batch deconv_1d - Data Type: bf16bf16bf16 Core i9 10980XE 2 4 6 8 10 SE +/- 0.01735, N = 3 8.54513 MIN: 8.48 1. (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.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Deconvolution Batch deconv_3d - Data Type: bf16bf16bf16 Core i9 10980XE 3 6 9 12 15 SE +/- 0.01, N = 3 10.72 MIN: 10.6 1. (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.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_alexnet - Data Type: bf16bf16bf16 Core i9 10980XE 200 400 600 800 1000 SE +/- 2.06, N = 3 871.39 MIN: 868.49 1. (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.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_googlenet_v3 - Data Type: u8s8f32 Core i9 10980XE 5 10 15 20 25 SE +/- 0.01, N = 3 20.93 MIN: 20.53 1. (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.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Deconvolution Batch deconv_all - Data Type: bf16bf16bf16 Core i9 10980XE 800 1600 2400 3200 4000 SE +/- 0.56, N = 3 3750.00 MIN: 3744.26 1. (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.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_googlenet_v3 - Data Type: bf16bf16bf16 Core i9 10980XE 50 100 150 200 250 SE +/- 0.03, N = 3 224.50 MIN: 223.6 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
Timed Linux Kernel Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed Linux Kernel Compilation 5.4 Time To Compile Core i9 10980XE 10 20 30 40 50 SE +/- 0.47, N = 7 43.47
Timed LLVM Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed LLVM Compilation 6.0.1 Time To Compile Core i9 10980XE 50 100 150 200 250 225.99
Build2 Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Build2 0.12 Time To Compile Core i9 10980XE 16 32 48 64 80 SE +/- 0.20, N = 3 72.36
Blender Blend File: BMW27 - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.81 Blend File: BMW27 - Compute: CPU-Only Core i9 10980XE 20 40 60 80 100 SE +/- 0.03, N = 3 92.94
Blender Blend File: Classroom - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.81 Blend File: Classroom - Compute: CPU-Only Core i9 10980XE 60 120 180 240 300 SE +/- 0.30, N = 3 267.91
Blender Blend File: Fishy Cat - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.81 Blend File: Fishy Cat - Compute: CPU-Only Core i9 10980XE 30 60 90 120 150 SE +/- 0.08, N = 3 143.09
Blender Blend File: Barbershop - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.81 Blend File: Barbershop - Compute: CPU-Only Core i9 10980XE 80 160 240 320 400 SE +/- 0.30, N = 3 373.69
Blender Blend File: Pabellon Barcelona - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.81 Blend File: Pabellon Barcelona - Compute: CPU-Only Core i9 10980XE 70 140 210 280 350 SE +/- 0.12, N = 3 331.95
Phoronix Test Suite v10.8.4