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. Core i9 10980XE: Processor: Intel Core i9-10980XE @ 4.60GHz (18 Cores / 36 Threads), Motherboard: Gigabyte X299X DESIGNARE 10G (F1 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 32768MB, Disk: 240GB Force MP510, Graphics: AMD Navi 10 8GB (2100/875MHz), Audio: Realtek ALC1220, Monitor: Acer B286HK, Network: 2 x Intel 10G X550T + Intel Device 2723 OS: Ubuntu 19.10, Kernel: 5.3.0-23-generic (x86_64), Desktop: GNOME Shell 3.34.1, Display Server: X Server 1.20.5, Display Driver: modesetting 1.20.5, OpenGL: 4.5 Mesa 19.2.1 (LLVM 9.0.0), Compiler: GCC 9.2.1 20191008, File-System: ext4, Screen Resolution: 3840x2160 MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_alexnet - Data Type: u8s8f32 ms < Lower Is Better Core i9 10980XE . 42.45 |====================================================== MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_all - Data Type: bf16bf16bf16 ms < Lower Is Better Core i9 10980XE . 4766.51 |==================================================== MKL-DNN DNNL 1.1 Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 ms < Lower Is Better Core i9 10980XE . 4761.12 |==================================================== Himeno Benchmark 3.0 Poisson Pressure Solver MFLOPS > Higher Is Better Core i9 10980XE . 4135.89 |==================================================== MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_all - Data Type: u8s8f32 ms < Lower Is Better Core i9 10980XE . 3846.89 |==================================================== MKL-DNN DNNL 1.1 Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 ms < Lower Is Better Core i9 10980XE . 0.464852 |=================================================== MKL-DNN DNNL 1.1 Harness: IP Batch All - Data Type: bf16bf16bf16 ms < Lower Is Better Core i9 10980XE . 20.75 |====================================================== MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_3d - Data Type: u8s8f32 ms < Lower Is Better Core i9 10980XE . 7715.21 |==================================================== MKL-DNN DNNL 1.1 Harness: IP Batch 1D - Data Type: bf16bf16bf16 ms < Lower Is Better Core i9 10980XE . 5.74064 |==================================================== MKL-DNN DNNL 1.1 Harness: IP Batch All - Data Type: u8s8f32 ms < Lower Is Better Core i9 10980XE . 7.42361 |==================================================== MKL-DNN DNNL 1.1 Harness: IP Batch 1D - Data Type: u8s8f32 ms < Lower Is Better Core i9 10980XE . 0.653733 |=================================================== MKL-DNN DNNL 1.1 Harness: Deconvolution Batch deconv_1d - Data Type: bf16bf16bf16 ms < Lower Is Better Core i9 10980XE . 8.54513 |==================================================== MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_3d - Data Type: bf16bf16bf16 ms < Lower Is Better Core i9 10980XE . 20.13 |====================================================== GROMACS 2019.4 Water Benchmark Ns Per Day > Higher Is Better Core i9 10980XE . 1.510 |====================================================== NAMD 2.13b1 ATPase Simulation - 327,506 Atoms days/ns < Lower Is Better Core i9 10980XE . 0.99020 |==================================================== MKL-DNN DNNL 1.1 Harness: Deconvolution Batch deconv_3d - Data Type: bf16bf16bf16 ms < Lower Is Better Core i9 10980XE . 10.72 |====================================================== MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_googlenet_v3 - Data Type: bf16bf16bf16 ms < Lower Is Better Core i9 10980XE . 224.50 |===================================================== MKL-DNN DNNL 1.1 Harness: Deconvolution Batch deconv_all - Data Type: bf16bf16bf16 ms < Lower Is Better Core i9 10980XE . 3750.00 |==================================================== MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_googlenet_v3 - Data Type: u8s8f32 ms < Lower Is Better Core i9 10980XE . 20.93 |====================================================== MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_alexnet - Data Type: bf16bf16bf16 ms < Lower Is Better Core i9 10980XE . 871.39 |===================================================== ASKAP 2018-11-10 Test: tConvolve MT - Gridding Million Grid Points Per Second > Higher Is Better Core i9 10980XE . 1608.44 |==================================================== ASKAP 2018-11-10 Test: tConvolve MT - Degridding Million Grid Points Per Second > Higher Is Better Core i9 10980XE . 2413.60 |==================================================== ASKAP 2018-11-10 Test: tConvolve MPI - Gridding Million Grid Points Per Second > Higher Is Better Core i9 10980XE . 1573.75 |==================================================== ASKAP 2018-11-10 Test: tConvolve MPI - Degridding Million Grid Points Per Second > Higher Is Better Core i9 10980XE . 2388.74 |==================================================== ASKAP 2018-11-10 Test: tConvolve OpenMP - Gridding Million Grid Points Per Second > Higher Is Better Core i9 10980XE . 3288.12 |==================================================== ASKAP 2018-11-10 Test: tConvolve OpenMP - Degridding Million Grid Points Per Second > Higher Is Better Core i9 10980XE . 4841.02 |==================================================== miniFE 2.2 Problem Size: Small CG Mflops > Higher Is Better Core i9 10980XE . 6900.44 |==================================================== Timed LLVM Compilation 6.0.1 Time To Compile Seconds < Lower Is Better Core i9 10980XE . 225.99 |===================================================== Timed Linux Kernel Compilation 5.4 Time To Compile Seconds < Lower Is Better Core i9 10980XE . 43.47 |====================================================== dav1d 0.5.0 Video Input: Chimera 1080p FPS > Higher Is Better Core i9 10980XE . 275.30 |===================================================== dav1d 0.5.0 Video Input: Summer Nature 4K FPS > Higher Is Better Core i9 10980XE . 170.27 |===================================================== dav1d 0.5.0 Video Input: Summer Nature 1080p FPS > Higher Is Better Core i9 10980XE . 299.94 |===================================================== dav1d 0.5.0 Video Input: Chimera 1080p 10-bit FPS > Higher Is Better Core i9 10980XE . 48.21 |====================================================== Blender 2.81 Blend File: BMW27 - Compute: CPU-Only Seconds < Lower Is Better Core i9 10980XE . 92.94 |====================================================== Blender 2.81 Blend File: Classroom - Compute: CPU-Only Seconds < Lower Is Better Core i9 10980XE . 267.91 |===================================================== Blender 2.81 Blend File: Fishy Cat - Compute: CPU-Only Seconds < Lower Is Better Core i9 10980XE . 143.09 |===================================================== Blender 2.81 Blend File: Barbershop - Compute: CPU-Only Seconds < Lower Is Better Core i9 10980XE . 373.69 |===================================================== Blender 2.81 Blend File: Pabellon Barcelona - Compute: CPU-Only Seconds < Lower Is Better Core i9 10980XE . 331.95 |===================================================== Build2 0.12 Time To Compile Seconds < Lower Is Better Core i9 10980XE . 72.36 |======================================================