onednning
Intel Core i9-10980XE testing with a ASRock X299 Steel Legend (P1.30 BIOS) and NVIDIA NV132 11GB on Ubuntu 20.10 via the Phoronix Test Suite.


Intel Core i9-10980XE: 

	Processor: Intel Core i9-10980XE @ 4.80GHz (18 Cores / 36 Threads), Motherboard: ASRock X299 Steel Legend (P1.30 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 32GB, Disk: Samsung SSD 970 PRO 512GB, Graphics: NVIDIA NV132 11GB, Audio: Realtek ALC1220, Monitor: ASUS MG28U, Network: Intel I219-V + Intel I211

	OS: Ubuntu 20.10, Kernel: 5.4.0-42-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: nouveau 1.0.16, OpenGL: 4.3 Mesa 20.1.5, Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 3840x2160


oneDNN 1.5
Harness: IP Batch 1D - Data Type: f32 - Engine: CPU
ms < Lower Is Better
Intel Core i9-10980XE . 2.24597 |==============================================


oneDNN 1.5
Harness: IP Batch All - Data Type: f32 - Engine: CPU
ms < Lower Is Better
Intel Core i9-10980XE . 33.23 |================================================


oneDNN 1.5
Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
Intel Core i9-10980XE . 0.519243 |=============================================


oneDNN 1.5
Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
Intel Core i9-10980XE . 7.38968 |==============================================


oneDNN 1.5
Harness: IP Batch 1D - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
Intel Core i9-10980XE . 5.52083 |==============================================


oneDNN 1.5
Harness: IP Batch All - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
Intel Core i9-10980XE . 64.43 |================================================


oneDNN 1.5
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
ms < Lower Is Better
Intel Core i9-10980XE . 9.84898 |==============================================


oneDNN 1.5
Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU
ms < Lower Is Better
Intel Core i9-10980XE . 1.71055 |==============================================


oneDNN 1.5
Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU
ms < Lower Is Better
Intel Core i9-10980XE . 2.63322 |==============================================


oneDNN 1.5
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
Intel Core i9-10980XE . 9.31606 |==============================================


oneDNN 1.5
Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
Intel Core i9-10980XE . 0.459876 |=============================================


oneDNN 1.5
Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
Intel Core i9-10980XE . 0.683639 |=============================================


oneDNN 1.5
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
ms < Lower Is Better
Intel Core i9-10980XE . 164.85 |===============================================


oneDNN 1.5
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
ms < Lower Is Better
Intel Core i9-10980XE . 52.76 |================================================


oneDNN 1.5
Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
Intel Core i9-10980XE . 7.96122 |==============================================


oneDNN 1.5
Harness: Deconvolution Batch deconv_1d - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
Intel Core i9-10980XE . 9.17689 |==============================================


oneDNN 1.5
Harness: Deconvolution Batch deconv_3d - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
Intel Core i9-10980XE . 10.84 |================================================


oneDNN 1.5
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU
ms < Lower Is Better
Intel Core i9-10980XE . 1.40469 |==============================================


oneDNN 1.5
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
Intel Core i9-10980XE . 0.368129 |=============================================


oneDNN 1.5
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
Intel Core i9-10980XE . 1.69103 |==============================================