2-x-intel-xeon-gold-5220r-onednn
2 x Intel Xeon Gold 5220R testing with a Supermicro X11DPG-QT (3.3 BIOS) and ASPEED 32GB on ManjaroLinux 20.1 via the Phoronix Test Suite.


manjaro-anaconda: 

	Processor: 2 x Intel Xeon Gold 5220R @ 4.00GHz (48 Cores / 96 Threads), Motherboard: Supermicro X11DPG-QT (3.3 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 252GB, Disk: 2000GB INTEL SSDPELKX020T8 + 8002GB HUS728T8TAL5204, Graphics: ASPEED 32GB, Audio: Realtek ALC888-VD, Monitor: PHL 276E9Q, Network: 2 x Intel 10G X550T

	OS: ManjaroLinux 20.1, Kernel: 5.4.60-2-MANJARO (x86_64), Display Server: X Server 1.20.8, Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080


oneDNN 1.5
Harness: IP Batch 1D - Data Type: f32 - Engine: CPU
ms < Lower Is Better
manjaro-anaconda . 1.60190 |===================================================


oneDNN 1.5
Harness: IP Batch All - Data Type: f32 - Engine: CPU
ms < Lower Is Better
manjaro-anaconda . 31.81 |=====================================================


oneDNN 1.5
Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
manjaro-anaconda . 2.30253 |===================================================


oneDNN 1.5
Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
manjaro-anaconda . 6.20202 |===================================================


oneDNN 1.5
Harness: IP Batch 1D - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
manjaro-anaconda . 5.52492 |===================================================


oneDNN 1.5
Harness: IP Batch All - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
manjaro-anaconda . 42.12 |=====================================================


oneDNN 1.5
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
ms < Lower Is Better
manjaro-anaconda . 12.21 |=====================================================


oneDNN 1.5
Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU
ms < Lower Is Better
manjaro-anaconda . 1.87255 |===================================================


oneDNN 1.5
Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU
ms < Lower Is Better
manjaro-anaconda . 1.80290 |===================================================


oneDNN 1.5
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
manjaro-anaconda . 11.52 |=====================================================


oneDNN 1.5
Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
manjaro-anaconda . 0.522418 |==================================================


oneDNN 1.5
Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
manjaro-anaconda . 0.479023 |==================================================


oneDNN 1.5
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
ms < Lower Is Better
manjaro-anaconda . 330.63 |====================================================


oneDNN 1.5
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
ms < Lower Is Better
manjaro-anaconda . 89.27 |=====================================================


oneDNN 1.5
Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
manjaro-anaconda . 4.81206 |===================================================


oneDNN 1.5
Harness: Deconvolution Batch deconv_1d - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
manjaro-anaconda . 5.68810 |===================================================


oneDNN 1.5
Harness: Deconvolution Batch deconv_3d - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
manjaro-anaconda . 6.24086 |===================================================


oneDNN 1.5
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU
ms < Lower Is Better
manjaro-anaconda . 0.426886 |==================================================


oneDNN 1.5
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
manjaro-anaconda . 0.316890 |==================================================


oneDNN 1.5
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
manjaro-anaconda . 1.13003 |===================================================