MKL DNN 9900K
Intel Core i9-9900K testing with a ASUS PRIME Z390-A (0802 BIOS) and AMD Radeon RX 64 8GB on Ubuntu 19.04 via the Phoronix Test Suite.


Intel Core i9-9900K: 

	Processor: Intel Core i9-9900K @ 5.00GHz (8 Cores / 16 Threads), Motherboard: ASUS PRIME Z390-A (0802 BIOS), Chipset: Intel Cannon Lake PCH, Memory: 16384MB, Disk: Samsung SSD 970 EVO 250GB + 2000GB SABRENT, Graphics: AMD Radeon RX 64 8GB (1630/945MHz), Audio: Realtek ALC1220, Monitor: Acer B286HK, Network: Intel I219-V

	OS: Ubuntu 19.04, Kernel: 5.0.0-11-generic (x86_64), Desktop: GNOME Shell 3.32.0, Display Server: X Server 1.20.4, Display Driver: amdgpu 19.0.1, OpenGL: 4.5 Mesa 19.0.2 (LLVM 8.0.0), Vulkan: 1.1.90, Compiler: GCC 8.3.0, File-System: ext4, Screen Resolution: 3840x2160


MKL-DNN 2019-04-16
Harness: IP Batch 1D - Data Type: f32
ms < Lower Is Better
Intel Core i9-9900K . 6.88 |===================================================


MKL-DNN 2019-04-16
Harness: IP Batch All - Data Type: f32
ms < Lower Is Better
Intel Core i9-9900K . 91.47 |==================================================


MKL-DNN 2019-04-16
Harness: IP Batch 1D - Data Type: u8s8u8s32
ms < Lower Is Better
Intel Core i9-9900K . 6.99 |===================================================


MKL-DNN 2019-04-16
Harness: IP Batch 1D - Data Type: u8s8f32s32
ms < Lower Is Better
Intel Core i9-9900K . 6.64 |===================================================


MKL-DNN 2019-04-16
Harness: IP Batch All - Data Type: u8s8u8s32
ms < Lower Is Better
Intel Core i9-9900K . 88.77 |==================================================


MKL-DNN 2019-04-16
Harness: IP Batch All - Data Type: u8s8f32s32
ms < Lower Is Better
Intel Core i9-9900K . 93.38 |==================================================


MKL-DNN 2019-04-16
Harness: Convolution Batch conv_3d - Data Type: f32
ms < Lower Is Better
Intel Core i9-9900K . 24.46 |==================================================


MKL-DNN 2019-04-16
Harness: Convolution Batch conv_all - Data Type: f32
ms < Lower Is Better
Intel Core i9-9900K . 2930.40 |================================================


MKL-DNN 2019-04-16
Harness: Deconvolution Batch deconv_1d - Data Type: f32
ms < Lower Is Better
Intel Core i9-9900K . 5.99 |===================================================


MKL-DNN 2019-04-16
Harness: Deconvolution Batch deconv_3d - Data Type: f32
ms < Lower Is Better
Intel Core i9-9900K . 7.85 |===================================================


MKL-DNN 2019-04-16
Harness: Convolution Batch conv_alexnet - Data Type: f32
ms < Lower Is Better
Intel Core i9-9900K . 389.13 |=================================================


MKL-DNN 2019-04-16
Harness: Deconvolution Batch deconv_all - Data Type: f32
ms < Lower Is Better
Intel Core i9-9900K . 3106.45 |================================================


MKL-DNN 2019-04-16
Harness: Convolution Batch conv_3d - Data Type: u8s8u8s32
ms < Lower Is Better
Intel Core i9-9900K . 24.48 |==================================================


MKL-DNN 2019-04-16
Harness: Convolution Batch conv_3d - Data Type: u8s8f32s32
ms < Lower Is Better
Intel Core i9-9900K . 24.64 |==================================================


MKL-DNN 2019-04-16
Harness: Convolution Batch conv_all - Data Type: u8s8u8s32
ms < Lower Is Better
Intel Core i9-9900K . 2926.62 |================================================


MKL-DNN 2019-04-16
Harness: Convolution Batch conv_all - Data Type: u8s8f32s32
ms < Lower Is Better
Intel Core i9-9900K . 2927.11 |================================================


MKL-DNN 2019-04-16
Harness: Convolution Batch conv_googlenet_v3 - Data Type: f32
ms < Lower Is Better
Intel Core i9-9900K . 168.48 |=================================================


MKL-DNN 2019-04-16
Harness: Deconvolution Batch deconv_1d - Data Type: u8s8u8s32
ms < Lower Is Better
Intel Core i9-9900K . 6.00 |===================================================


MKL-DNN 2019-04-16
Harness: Deconvolution Batch deconv_3d - Data Type: u8s8u8s32
ms < Lower Is Better
Intel Core i9-9900K . 7.69 |===================================================


MKL-DNN 2019-04-16
Harness: Convolution Batch conv_alexnet - Data Type: u8s8u8s32
ms < Lower Is Better
Intel Core i9-9900K . 392.53 |=================================================


MKL-DNN 2019-04-16
Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32s32
ms < Lower Is Better
Intel Core i9-9900K . 6.02 |===================================================


MKL-DNN 2019-04-16
Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32s32
ms < Lower Is Better
Intel Core i9-9900K . 7.38 |===================================================


MKL-DNN 2019-04-16
Harness: Deconvolution Batch deconv_all - Data Type: u8s8u8s32
ms < Lower Is Better
Intel Core i9-9900K . 3100.39 |================================================


MKL-DNN 2019-04-16
Harness: Convolution Batch conv_alexnet - Data Type: u8s8f32s32
ms < Lower Is Better
Intel Core i9-9900K . 380.06 |=================================================


MKL-DNN 2019-04-16
Harness: Deconvolution Batch deconv_all - Data Type: u8s8f32s32
ms < Lower Is Better
Intel Core i9-9900K . 3099.22 |================================================


MKL-DNN 2019-04-16
Harness: Convolution Batch conv_googlenet_v3 - Data Type: u8s8u8s32
ms < Lower Is Better
Intel Core i9-9900K . 167.77 |=================================================


MKL-DNN 2019-04-16
Harness: Convolution Batch conv_googlenet_v3 - Data Type: u8s8f32s32
ms < Lower Is Better
Intel Core i9-9900K . 167.76 |=================================================