onednn-c3a-03
KVM testing on Ubuntu 22.04 via the Phoronix Test Suite.


AMD EPYC 9Y24 96-Core: 

	Processor: AMD EPYC 9Y24 96-Core (16 Cores / 32 Threads), Motherboard: ByteDance OpenStack Nova v0.1, Chipset: Intel 440FX 82441FX PMC, Memory: 4 x 16 GB RAM QEMU, Disk: 99GB, Graphics: Cirrus Logic GD 5446, Network: Red Hat Virtio device

	OS: Ubuntu 22.04, Kernel: 5.15.0-83-generic (x86_64), 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 9Y24 96-Core . 2.85576 |==============================================


oneDNN 3.3
Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU
ms < Lower Is Better
AMD EPYC 9Y24 96-Core . 2.94462 |==============================================


oneDNN 3.3
Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
AMD EPYC 9Y24 96-Core . 0.640274 |=============================================


oneDNN 3.3
Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
AMD EPYC 9Y24 96-Core . 0.574468 |=============================================


oneDNN 3.3
Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
AMD EPYC 9Y24 96-Core . 1.09003 |==============================================


oneDNN 3.3
Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
AMD EPYC 9Y24 96-Core . 1.84735 |==============================================


oneDNN 3.3
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
ms < Lower Is Better
AMD EPYC 9Y24 96-Core . 3.49421 |==============================================


oneDNN 3.3
Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU
ms < Lower Is Better
AMD EPYC 9Y24 96-Core . 5.33716 |==============================================


oneDNN 3.3
Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU
ms < Lower Is Better
AMD EPYC 9Y24 96-Core . 3.98901 |==============================================


oneDNN 3.3
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
AMD EPYC 9Y24 96-Core . 3.14711 |==============================================


oneDNN 3.3
Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
AMD EPYC 9Y24 96-Core . 0.715819 |=============================================


oneDNN 3.3
Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
AMD EPYC 9Y24 96-Core . 1.014092 |=============================================


oneDNN 3.3
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
ms < Lower Is Better
AMD EPYC 9Y24 96-Core . 1850.33 |==============================================


oneDNN 3.3
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
ms < Lower Is Better
AMD EPYC 9Y24 96-Core . 952.50 |===============================================


oneDNN 3.3
Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
AMD EPYC 9Y24 96-Core . 1868.10 |==============================================


oneDNN 3.3
Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
AMD EPYC 9Y24 96-Core . 1.55775 |==============================================


oneDNN 3.3
Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
AMD EPYC 9Y24 96-Core . 3.60921 |==============================================


oneDNN 3.3
Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
AMD EPYC 9Y24 96-Core . 2.36536 |==============================================


oneDNN 3.3
Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
AMD EPYC 9Y24 96-Core . 958.85 |===============================================


oneDNN 3.3
Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
AMD EPYC 9Y24 96-Core . 1847.78 |==============================================


oneDNN 3.3
Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
AMD EPYC 9Y24 96-Core . 963.76 |===============================================