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.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 1911271-HU-COREI910993
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Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
Core i9 10980XE
November 27 2019
  4 Hours, 23 Minutes
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Core i9 10980XE, "MKL-DNN DNNL 1.1 - Harness: Convolution Batch conv_alexnet - Data Type: u8s8f32", Lower Results Are Better "Core i9 10980XE",42.3322,42.4464,42.5663 "MKL-DNN DNNL 1.1 - Harness: Convolution Batch conv_all - Data Type: bf16bf16bf16", Lower Results Are Better "Core i9 10980XE",4767.24,4766.37,4765.91 "MKL-DNN DNNL 1.1 - Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32", Lower Results Are Better "Core i9 10980XE",4759.14,4760.15,4764.07 "Himeno Benchmark 3.0 - Poisson Pressure Solver", Higher Results Are Better "Core i9 10980XE",4149.017501,4113.779548,4144.861286 "MKL-DNN DNNL 1.1 - Harness: Convolution Batch conv_all - Data Type: u8s8f32", Lower Results Are Better "Core i9 10980XE",3863.9,3850.07,3826.71 "MKL-DNN DNNL 1.1 - Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32", Lower Results Are Better "Core i9 10980XE",0.470462,0.471072,0.518516,0.468945,0.458379,0.457582,0.46168,0.458392,0.458952,0.457749,0.458273,0.458734,0.457299,0.458189,0.458553 "MKL-DNN DNNL 1.1 - Harness: IP Batch All - Data Type: bf16bf16bf16", Lower Results Are Better "Core i9 10980XE",20.6885,21.2421,20.3175 "MKL-DNN DNNL 1.1 - Harness: Convolution Batch conv_3d - Data Type: u8s8f32", Lower Results Are Better "Core i9 10980XE",7691.12,7723.52,7730.98 "MKL-DNN DNNL 1.1 - Harness: IP Batch 1D - Data Type: bf16bf16bf16", Lower Results Are Better "Core i9 10980XE",5.74669,5.7446,5.73064 "MKL-DNN DNNL 1.1 - Harness: IP Batch All - Data Type: u8s8f32", Lower Results Are Better "Core i9 10980XE",5.32258,4.88219,9.99672,27.7329,5.31469,5.28799,5.26948,4.91188,4.95545,5.41338,5.09738,4.89869 "MKL-DNN DNNL 1.1 - Harness: IP Batch 1D - Data Type: u8s8f32", Lower Results Are Better "Core i9 10980XE",0.651388,0.657115,0.652696 "MKL-DNN DNNL 1.1 - Harness: Deconvolution Batch deconv_1d - Data Type: bf16bf16bf16", Lower Results Are Better "Core i9 10980XE",8.52099,8.57878,8.53561 "MKL-DNN DNNL 1.1 - Harness: Convolution Batch conv_3d - Data Type: bf16bf16bf16", Lower Results Are Better "Core i9 10980XE",20.1117,20.134,20.131 "GROMACS 2019.4 - Water Benchmark", Higher Results Are Better "Core i9 10980XE",1.512,1.509,1.51,1.508,1.509,1.511,1.508,1.51,1.509,1.511,1.513,1.509 "NAMD 2.13b1 - ATPase Simulation - 327,506 Atoms", Lower Results Are Better "Core i9 10980XE",0.992012,0.978188,1.00039 "MKL-DNN DNNL 1.1 - Harness: Deconvolution Batch deconv_3d - Data Type: bf16bf16bf16", Lower Results Are Better "Core i9 10980XE",10.7349,10.7131,10.7065 "MKL-DNN DNNL 1.1 - Harness: Convolution Batch conv_googlenet_v3 - Data Type: bf16bf16bf16", Lower Results Are Better "Core i9 10980XE",224.435,224.536,224.523 "MKL-DNN DNNL 1.1 - Harness: Deconvolution Batch deconv_all - Data Type: bf16bf16bf16", Lower Results Are Better "Core i9 10980XE",3749.89,3749.08,3751.02 "MKL-DNN DNNL 1.1 - Harness: Convolution Batch conv_googlenet_v3 - Data Type: u8s8f32", Lower Results Are Better "Core i9 10980XE",20.9127,20.9466,20.9399 "MKL-DNN DNNL 1.1 - Harness: Convolution Batch conv_alexnet - Data Type: bf16bf16bf16", Lower Results Are Better "Core i9 10980XE",869.165,869.505,875.507 "ASKAP 2018-11-10 - Test: tConvolve MT - Gridding", Higher Results Are Better "Core i9 10980XE",1607.72,1608.8,1608.8 "ASKAP 2018-11-10 - Test: tConvolve MT - Degridding", Higher Results Are Better "Core i9 10980XE",2413.2,2413.2,2414.41 "ASKAP 2018-11-10 - Test: tConvolve MPI - Gridding", Higher Results Are Better "Core i9 10980XE",1574.44,1573.93,1572.89 "ASKAP 2018-11-10 - Test: tConvolve MPI - Degridding", Higher Results Are Better "Core i9 10980XE",2387.95,2387.95,2390.33 "ASKAP 2018-11-10 - Test: tConvolve OpenMP - Gridding", Higher Results Are Better "Core i9 10980XE",3370.33,3247.02,3247.02 "ASKAP 2018-11-10 - Test: tConvolve OpenMP - Degridding", Higher Results Are Better "Core i9 10980XE",4841.02,4841.02,4841.02 "miniFE 2.2 - Problem Size: Small", Higher Results Are Better "Core i9 10980XE",6885.41,6884.59,6931.31 "Timed LLVM Compilation 6.0.1 - Time To Compile", Lower Results Are Better "Core i9 10980XE", "Timed Linux Kernel Compilation 5.4 - Time To Compile", Lower Results Are Better "Core i9 10980XE",46.312,42.949,42.937,43.042,43.12,43.063,42.889 "dav1d 0.5.0 - Video Input: Chimera 1080p", Higher Results Are Better "Core i9 10980XE",274.87040827996,274.82197163769,276.21720837146 "dav1d 0.5.0 - Video Input: Summer Nature 4K", Higher Results Are Better "Core i9 10980XE",169.97434647009,171.8890983839,168.93540402608 "dav1d 0.5.0 - Video Input: Summer Nature 1080p", Higher Results Are Better "Core i9 10980XE",299.47847505669,298.69819444444,301.62949829932 "dav1d 0.5.0 - Video Input: Chimera 1080p 10-bit", Higher Results Are Better "Core i9 10980XE",48.31098810613,48.204986276304,48.111060155535 "Blender 2.81 - Blend File: BMW27 - Compute: CPU-Only", Lower Results Are Better "Core i9 10980XE",92.94,92.89,93 "Blender 2.81 - Blend File: Classroom - Compute: CPU-Only", Lower Results Are Better "Core i9 10980XE",268.19,268.23,267.3 "Blender 2.81 - Blend File: Fishy Cat - Compute: CPU-Only", Lower Results Are Better "Core i9 10980XE",143.01,143.25,143.01 "Blender 2.81 - Blend File: Barbershop - Compute: CPU-Only", Lower Results Are Better "Core i9 10980XE",374.11,373.84,373.12 "Blender 2.81 - Blend File: Pabellon Barcelona - Compute: CPU-Only", Lower Results Are Better "Core i9 10980XE",331.84,331.83,332.18 "Build2 0.12 - Time To Compile", Lower Results Are Better "Core i9 10980XE",72.673,72.427,71.981