onednn-c2a-02
KVM testing on Ubuntu 22.04 via the Phoronix Test Suite.


AMD EPYC 7Y83 64-Core: 

	Processor: AMD EPYC 7Y83 64-Core (16 Cores / 32 Threads), Motherboard: ByteDance OpenStack Nova v0.1, Chipset: Intel 440FX 82441FX PMC, Memory: 4 x 16 GB RAM QEMU, Disk: 40GB, Graphics: Cirrus Logic GD 5446, Audio: QEMU Generic, Network: Red Hat Virtio device

	OS: Ubuntu 22.04, Kernel: 5.15.0-83-generic (x86_64), OpenGL: 4.5 Mesa 23.2.1-1ubuntu3.1~22.04.1 (LLVM 15.0.7 256 bits), Vulkan: 1.3.255, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 1024x768, System Layer: KVM


oneDNN 3.3
Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU
ms < Lower Is Better
AMD EPYC 7Y83 64-Core . 2.35975 |==============================================


oneDNN 3.3
Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU
ms < Lower Is Better
AMD EPYC 7Y83 64-Core . 2.71411 |==============================================


oneDNN 3.3
Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
AMD EPYC 7Y83 64-Core . 1.037246 |=============================================


oneDNN 3.3
Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
AMD EPYC 7Y83 64-Core . 0.517556 |=============================================


oneDNN 3.3
Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better


oneDNN 3.3
Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better


oneDNN 3.3
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
ms < Lower Is Better
AMD EPYC 7Y83 64-Core . 3.93030 |==============================================


oneDNN 3.3
Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU
ms < Lower Is Better
AMD EPYC 7Y83 64-Core . 6.57127 |==============================================


oneDNN 3.3
Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU
ms < Lower Is Better
AMD EPYC 7Y83 64-Core . 4.35120 |==============================================


oneDNN 3.3
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
AMD EPYC 7Y83 64-Core . 5.45924 |==============================================


oneDNN 3.3
Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
AMD EPYC 7Y83 64-Core . 1.38213 |==============================================


oneDNN 3.3
Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
AMD EPYC 7Y83 64-Core . 1.87753 |==============================================


oneDNN 3.3
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
ms < Lower Is Better
AMD EPYC 7Y83 64-Core . 2061.69 |==============================================


oneDNN 3.3
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
ms < Lower Is Better
AMD EPYC 7Y83 64-Core . 1076.95 |==============================================


oneDNN 3.3
Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
AMD EPYC 7Y83 64-Core . 2063.79 |==============================================


oneDNN 3.3
Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better


oneDNN 3.3
Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better


oneDNN 3.3
Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better


oneDNN 3.3
Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
AMD EPYC 7Y83 64-Core . 1098.46 |==============================================


oneDNN 3.3
Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
AMD EPYC 7Y83 64-Core . 2074.28 |==============================================


oneDNN 3.3
Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
AMD EPYC 7Y83 64-Core . 1090.44 |==============================================