Core i9 + OpenSUSE
Intel Core i9-7980XE testing with a ASUS PRIME X299-A (1704 BIOS) and NVIDIA NV120 12GB on openSUSE Tumbleweed 20190428 via the Phoronix Test Suite.


Intel Core i9-7980XE: 

	Processor: Intel Core i9-7980XE @ 4.20GHz (18 Cores / 36 Threads), Motherboard: ASUS PRIME X299-A (1704 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 16384MB, Disk: Samsung SSD 970 EVO 500GB, Graphics: NVIDIA NV120 12GB, Audio: Realtek ALC1220, Monitor: ASUS PB278, Network: Intel I219-V

	OS: openSUSE Tumbleweed 20190428, Kernel: 5.0.9-1-default (x86_64), Desktop: GNOME Shell 3.30.2, Display Server: X Server + Wayland, OpenGL: 4.3 Mesa 19.0.3, Compiler: GCC 8.3.1 20190226 [gcc-8-branch revision 269204], File-System: btrfs, Screen Resolution: 2560x1440


Parboil 2.5
Test: OpenMP LBM
Seconds < Lower Is Better
Intel Core i9-7980XE . 68.62 |=================================================


Parboil 2.5
Test: OpenMP CUTCP
Seconds < Lower Is Better
Intel Core i9-7980XE . 2.37 |==================================================


Parboil 2.5
Test: OpenMP Stencil
Seconds < Lower Is Better
Intel Core i9-7980XE . 7.75 |==================================================


Parboil 2.5
Test: OpenMP MRI Gridding
Seconds < Lower Is Better
Intel Core i9-7980XE . 145.73 |================================================


Rodinia 2.4
Test: OpenMP LavaMD
Seconds < Lower Is Better
Intel Core i9-7980XE . 17.29 |=================================================


Rodinia 2.4
Test: OpenMP CFD Solver
Seconds < Lower Is Better
Intel Core i9-7980XE . 11.95 |=================================================


Rodinia 2.4
Test: OpenMP Streamcluster
Seconds < Lower Is Better
Intel Core i9-7980XE . 14.03 |=================================================


MKL-DNN 2019-04-16
Harness: IP Batch 1D - Data Type: f32
ms < Lower Is Better
Intel Core i9-7980XE . 20.85 |=================================================


MKL-DNN 2019-04-16
Harness: IP Batch All - Data Type: f32
ms < Lower Is Better
Intel Core i9-7980XE . 254.84 |================================================


MKL-DNN 2019-04-16
Harness: IP Batch 1D - Data Type: u8s8u8s32
ms < Lower Is Better
Intel Core i9-7980XE . 9.29 |==================================================


MKL-DNN 2019-04-16
Harness: IP Batch 1D - Data Type: u8s8f32s32
ms < Lower Is Better
Intel Core i9-7980XE . 9.15 |==================================================


MKL-DNN 2019-04-16
Harness: IP Batch All - Data Type: u8s8u8s32
ms < Lower Is Better
Intel Core i9-7980XE . 119.75 |================================================


MKL-DNN 2019-04-16
Harness: IP Batch All - Data Type: u8s8f32s32
ms < Lower Is Better
Intel Core i9-7980XE . 119.77 |================================================


MKL-DNN 2019-04-16
Harness: Convolution Batch conv_3d - Data Type: f32
ms < Lower Is Better
Intel Core i9-7980XE . 81.42 |=================================================


MKL-DNN 2019-04-16
Harness: Convolution Batch conv_all - Data Type: f32
ms < Lower Is Better
Intel Core i9-7980XE . 13662.03 |==============================================


MKL-DNN 2019-04-16
Harness: Deconvolution Batch deconv_1d - Data Type: f32
ms < Lower Is Better
Intel Core i9-7980XE . 23.74 |=================================================


MKL-DNN 2019-04-16
Harness: Deconvolution Batch deconv_3d - Data Type: f32
ms < Lower Is Better
Intel Core i9-7980XE . 28.33 |=================================================


MKL-DNN 2019-04-16
Harness: Convolution Batch conv_alexnet - Data Type: f32
ms < Lower Is Better
Intel Core i9-7980XE . 1832.38 |===============================================


MKL-DNN 2019-04-16
Harness: Deconvolution Batch deconv_all - Data Type: f32
ms < Lower Is Better
Intel Core i9-7980XE . 10471.03 |==============================================


MKL-DNN 2019-04-16
Harness: Convolution Batch conv_3d - Data Type: u8s8u8s32
ms < Lower Is Better
Intel Core i9-7980XE . 135814 |================================================


MKL-DNN 2019-04-16
Harness: Convolution Batch conv_3d - Data Type: u8s8f32s32
ms < Lower Is Better
Intel Core i9-7980XE . 137044 |================================================


MKL-DNN 2019-04-16
Harness: Convolution Batch conv_all - Data Type: u8s8u8s32
ms < Lower Is Better
Intel Core i9-7980XE . 68542.50 |==============================================


MKL-DNN 2019-04-16
Harness: Convolution Batch conv_all - Data Type: u8s8f32s32
ms < Lower Is Better
Intel Core i9-7980XE . 68552.47 |==============================================


MKL-DNN 2019-04-16
Harness: Convolution Batch conv_googlenet_v3 - Data Type: f32
ms < Lower Is Better
Intel Core i9-7980XE . 758.40 |================================================


MKL-DNN 2019-04-16
Harness: Deconvolution Batch deconv_1d - Data Type: u8s8u8s32
ms < Lower Is Better
Intel Core i9-7980XE . 13.40 |=================================================


MKL-DNN 2019-04-16
Harness: Deconvolution Batch deconv_3d - Data Type: u8s8u8s32
ms < Lower Is Better
Intel Core i9-7980XE . 84487.27 |==============================================


MKL-DNN 2019-04-16
Harness: Convolution Batch conv_alexnet - Data Type: u8s8u8s32
ms < Lower Is Better
Intel Core i9-7980XE . 1200.09 |===============================================


MKL-DNN 2019-04-16
Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32s32
ms < Lower Is Better
Intel Core i9-7980XE . 13.49 |=================================================


MKL-DNN 2019-04-16
Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32s32
ms < Lower Is Better
Intel Core i9-7980XE . 77642.00 |==============================================


MKL-DNN 2019-04-16
Harness: Deconvolution Batch deconv_all - Data Type: u8s8u8s32
ms < Lower Is Better
Intel Core i9-7980XE . 135278 |================================================


MKL-DNN 2019-04-16
Harness: Convolution Batch conv_alexnet - Data Type: u8s8f32s32
ms < Lower Is Better
Intel Core i9-7980XE . 1212.93 |===============================================


MKL-DNN 2019-04-16
Harness: Convolution Batch conv_googlenet_v3 - Data Type: u8s8u8s32
ms < Lower Is Better
Intel Core i9-7980XE . 484.63 |================================================


MKL-DNN 2019-04-16
Harness: Convolution Batch conv_googlenet_v3 - Data Type: u8s8f32s32
ms < Lower Is Better
Intel Core i9-7980XE . 490.33 |================================================


SVT-AV1 2019-03-07
1080p 8-bit YUV To AV1 Video Encode
Frames Per Second > Higher Is Better
Intel Core i9-7980XE . 20.66 |=================================================


SVT-HEVC 2019-02-03
1080p 8-bit YUV To HEVC Video Encode
Frames Per Second > Higher Is Better
Intel Core i9-7980XE . 318.68 |================================================


SVT-VP9 2019-02-17
1080p 8-bit YUV To VP9 Video Encode
Frames Per Second > Higher Is Better
Intel Core i9-7980XE . 326.77 |================================================


VP9 libvpx Encoding 1.8.0
vpxenc VP9 1080p Video Encode
Frames Per Second > Higher Is Better
Intel Core i9-7980XE . 23.17 |=================================================


XZ Compression 5.2.4
Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9
Seconds < Lower Is Better
Intel Core i9-7980XE . 18.29 |=================================================


Zstd Compression 1.3.4
Compressing ubuntu-16.04.3-server-i386.img, Compression Level 19
Seconds < Lower Is Better
Intel Core i9-7980XE . 10.01 |=================================================


FFmpeg 4.0.2
H.264 HD To NTSC DV
Seconds < Lower Is Better
Intel Core i9-7980XE . 12.84 |=================================================


Sunflow Rendering System 0.07.2
Global Illumination + Image Synthesis
Seconds < Lower Is Better
Intel Core i9-7980XE . 1.02 |==================================================


SPECjbb 2015
SPECjbb2015-Composite max-jOPS 
jOPS > Higher Is Better
Intel Core i9-7980XE . 27727 |=================================================


SPECjbb 2015
SPECjbb2015-Composite critical-jOPS
jOPS > Higher Is Better
Intel Core i9-7980XE . 7094 |==================================================