Core i9 7900X Linux
Intel Core i7-7900X testing with a ASRock X299 Extreme4 (P1.50 BIOS) and Zotac NVIDIA NVD9 1GB on Ubuntu 18.04 via the Phoronix Test Suite.


Core i9 7900X: 

	Processor: Intel Core i7-7900X @ 4.50GHz (10 Cores / 20 Threads), Motherboard: ASRock X299 Extreme4 (P1.50 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 16384MB, Disk: 120GB Force MP500, Graphics: Zotac NVIDIA NVD9 1GB, Audio: Realtek ALC1220, Monitor: VA2431, Network: Intel I219-V

	OS: Ubuntu 18.04, Kernel: 4.18.0-25-generic (x86_64), Desktop: GNOME Shell 3.28.4, Display Server: X Server 1.20.4, Display Driver: modesetting 1.20.4, OpenGL: 4.3 Mesa 19.0.2, Compiler: GCC 7.4.0, File-System: ext4, Screen Resolution: 1920x1080


Renaissance 0.9.0
Test: Scala Dotty
ms < Lower Is Better
Core i9 7900X . 6474.09 |======================================================


Renaissance 0.9.0
Test: Apache Spark ALS
ms < Lower Is Better
Core i9 7900X . 5284.66 |======================================================


Renaissance 0.9.0
Test: Apache Spark Bayes
ms < Lower Is Better
Core i9 7900X . 3899.83 |======================================================


Renaissance 0.9.0
Test: Savina Reactors.IO
ms < Lower Is Better
Core i9 7900X . 24033.64 |=====================================================


Renaissance 0.9.0
Test: Apache Spark PageRank
ms < Lower Is Better
Core i9 7900X . 20572.21 |=====================================================


Renaissance 0.9.0
Test: In-Memory Database Shootout
ms < Lower Is Better
Core i9 7900X . 6991.81 |======================================================


Renaissance 0.9.0
Test: Akka Unbalanced Cobwebbed Tree
ms < Lower Is Better
Core i9 7900X . 11266.36 |=====================================================


John The Ripper 1.9.0-jumbo-1
Test: Blowfish
Real C/S > Higher Is Better
Core i9 7900X . 19400 |========================================================


MKL-DNN 2019-04-16
Harness: IP Batch 1D - Data Type: f32
ms < Lower Is Better
Core i9 7900X . 16.33 |========================================================


MKL-DNN 2019-04-16
Harness: IP Batch All - Data Type: f32
ms < Lower Is Better
Core i9 7900X . 109.39 |=======================================================


MKL-DNN 2019-04-16
Harness: IP Batch 1D - Data Type: u8s8u8s32
ms < Lower Is Better
Core i9 7900X . 4.06 |=========================================================


MKL-DNN 2019-04-16
Harness: IP Batch 1D - Data Type: u8s8f32s32
ms < Lower Is Better
Core i9 7900X . 3.97 |=========================================================


MKL-DNN 2019-04-16
Harness: IP Batch All - Data Type: u8s8u8s32
ms < Lower Is Better
Core i9 7900X . 44.17 |========================================================


MKL-DNN 2019-04-16
Harness: IP Batch All - Data Type: u8s8f32s32
ms < Lower Is Better
Core i9 7900X . 44.24 |========================================================


MKL-DNN 2019-04-16
Harness: Convolution Batch conv_3d - Data Type: f32
ms < Lower Is Better
Core i9 7900X . 17.40 |========================================================


MKL-DNN 2019-04-16
Harness: Convolution Batch conv_all - Data Type: f32
ms < Lower Is Better
Core i9 7900X . 1608.56 |======================================================


MKL-DNN 2019-04-16
Harness: Deconvolution Batch deconv_1d - Data Type: f32
ms < Lower Is Better
Core i9 7900X . 2.62 |=========================================================


MKL-DNN 2019-04-16
Harness: Deconvolution Batch deconv_3d - Data Type: f32
ms < Lower Is Better
Core i9 7900X . 3.48 |=========================================================


MKL-DNN 2019-04-16
Harness: Convolution Batch conv_alexnet - Data Type: f32
ms < Lower Is Better
Core i9 7900X . 194.31 |=======================================================


MKL-DNN 2019-04-16
Harness: Deconvolution Batch deconv_all - Data Type: f32
ms < Lower Is Better
Core i9 7900X . 1782.33 |======================================================


MKL-DNN 2019-04-16
Harness: Convolution Batch conv_3d - Data Type: u8s8u8s32
ms < Lower Is Better
Core i9 7900X . 11695.67 |=====================================================


MKL-DNN 2019-04-16
Harness: Convolution Batch conv_3d - Data Type: u8s8f32s32
ms < Lower Is Better
Core i9 7900X . 11761.73 |=====================================================


MKL-DNN 2019-04-16
Harness: Convolution Batch conv_all - Data Type: u8s8u8s32
ms < Lower Is Better
Core i9 7900X . 6139.59 |======================================================


MKL-DNN 2019-04-16
Harness: Convolution Batch conv_all - Data Type: u8s8f32s32
ms < Lower Is Better
Core i9 7900X . 6266.42 |======================================================


MKL-DNN 2019-04-16
Harness: Convolution Batch conv_googlenet_v3 - Data Type: f32
ms < Lower Is Better
Core i9 7900X . 90.28 |========================================================


MKL-DNN 2019-04-16
Harness: Deconvolution Batch deconv_1d - Data Type: u8s8u8s32
ms < Lower Is Better
Core i9 7900X . 1.45 |=========================================================


MKL-DNN 2019-04-16
Harness: Deconvolution Batch deconv_3d - Data Type: u8s8u8s32
ms < Lower Is Better
Core i9 7900X . 9916.53 |======================================================


MKL-DNN 2019-04-16
Harness: Convolution Batch conv_alexnet - Data Type: u8s8u8s32
ms < Lower Is Better
Core i9 7900X . 128.50 |=======================================================


MKL-DNN 2019-04-16
Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32s32
ms < Lower Is Better
Core i9 7900X . 1.46 |=========================================================


MKL-DNN 2019-04-16
Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32s32
ms < Lower Is Better
Core i9 7900X . 9998.82 |======================================================


MKL-DNN 2019-04-16
Harness: Deconvolution Batch deconv_all - Data Type: u8s8u8s32
ms < Lower Is Better
Core i9 7900X . 16488.13 |=====================================================


MKL-DNN 2019-04-16
Harness: Convolution Batch conv_alexnet - Data Type: u8s8f32s32
ms < Lower Is Better
Core i9 7900X . 131.20 |=======================================================


MKL-DNN 2019-04-16
Harness: Convolution Batch conv_googlenet_v3 - Data Type: u8s8u8s32
ms < Lower Is Better
Core i9 7900X . 51.50 |========================================================


MKL-DNN 2019-04-16
Harness: Convolution Batch conv_googlenet_v3 - Data Type: u8s8f32s32
ms < Lower Is Better
Core i9 7900X . 54.84 |========================================================


SVT-AV1 0.5
1080p 8-bit YUV To AV1 Video Encode
Frames Per Second > Higher Is Better
Core i9 7900X . 34.48 |========================================================


Timed GCC Compilation 8.2
Time To Compile
Seconds < Lower Is Better
Core i9 7900X . 969.10 |=======================================================


XZ Compression 5.2.4
Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9
Seconds < Lower Is Better
Core i9 7900X . 21.41 |========================================================


libjpeg-turbo tjbench 2.0.2
Test: Decompression Throughput
Megapixels/sec > Higher Is Better
Core i9 7900X . 207.09 |=======================================================


Appleseed 2.0 Beta
Scene: Emily
Seconds < Lower Is Better
Core i9 7900X . 355.62 |=======================================================


Appleseed 2.0 Beta
Scene: Disney Material
Seconds < Lower Is Better
Core i9 7900X . 199.34 |=======================================================


Appleseed 2.0 Beta
Scene: Material Tester
Seconds < Lower Is Better
Core i9 7900X . 203.38 |=======================================================