test6
KVM testing on Debian 11 via the Phoronix Test Suite.


HP ProLiant DL160 Gen9 Xeon E5-2630 V4 x2: 

	Processor: Common KVM (40 Cores), Motherboard: QEMU Standard PC (i440FX + PIIX 1996) (rel-1.15.0-0-g2dd4b9b3f840-prebuilt.qemu.org BIOS), Chipset: Intel 440FX 82441FX PMC, Memory: 16GB, Disk: 64GB QEMU HDD, Graphics: bochs-drmdrmfb, Monitor: QEMU Monitor, Network: Red Hat Virtio device

	OS: Debian 11, Kernel: 5.10.0-19-amd64 (x86_64), Vulkan: 1.0.2, Compiler: GCC 10.2.1 20210110, File-System: ext4, Screen Resolution: 1024x768, System Layer: KVM


oneDNN 2.7
Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU
ms < Lower Is Better
HP ProLiant DL160 Gen9 Xeon E5-2630 V4 x2 . 13.31 |============================


oneDNN 2.7
Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU
ms < Lower Is Better
HP ProLiant DL160 Gen9 Xeon E5-2630 V4 x2 . 15.36 |============================


oneDNN 2.7
Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
HP ProLiant DL160 Gen9 Xeon E5-2630 V4 x2 . 73.86 |============================


oneDNN 2.7
Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
HP ProLiant DL160 Gen9 Xeon E5-2630 V4 x2 . 176.17 |===========================


oneDNN 2.7
Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better


oneDNN 2.7
Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better


oneDNN 2.7
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
ms < Lower Is Better
HP ProLiant DL160 Gen9 Xeon E5-2630 V4 x2 . 45.70 |============================


oneDNN 2.7
Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU
ms < Lower Is Better
HP ProLiant DL160 Gen9 Xeon E5-2630 V4 x2 . 108.10 |===========================


oneDNN 2.7
Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU
ms < Lower Is Better
HP ProLiant DL160 Gen9 Xeon E5-2630 V4 x2 . 26.05 |============================


oneDNN 2.7
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
HP ProLiant DL160 Gen9 Xeon E5-2630 V4 x2 . 1172.78 |==========================


oneDNN 2.7
Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
HP ProLiant DL160 Gen9 Xeon E5-2630 V4 x2 . 135.79 |===========================


oneDNN 2.7
Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
HP ProLiant DL160 Gen9 Xeon E5-2630 V4 x2 . 56.34 |============================


oneDNN 2.7
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
ms < Lower Is Better
HP ProLiant DL160 Gen9 Xeon E5-2630 V4 x2 . 16304.6 |==========================


oneDNN 2.7
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
ms < Lower Is Better
HP ProLiant DL160 Gen9 Xeon E5-2630 V4 x2 . 7737.80 |==========================


oneDNN 2.7
Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
HP ProLiant DL160 Gen9 Xeon E5-2630 V4 x2 . 16832.0 |==========================


oneDNN 2.7
Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better


oneDNN 2.7
Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better


oneDNN 2.7
Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better


oneDNN 2.7
Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
HP ProLiant DL160 Gen9 Xeon E5-2630 V4 x2 . 7756.88 |==========================


oneDNN 2.7
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU
ms < Lower Is Better
HP ProLiant DL160 Gen9 Xeon E5-2630 V4 x2 . 6.42767 |==========================


oneDNN 2.7
Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
HP ProLiant DL160 Gen9 Xeon E5-2630 V4 x2 . 16379.7 |==========================


oneDNN 2.7
Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
HP ProLiant DL160 Gen9 Xeon E5-2630 V4 x2 . 7702.71 |==========================


oneDNN 2.7
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
HP ProLiant DL160 Gen9 Xeon E5-2630 V4 x2 . 21.26 |============================


oneDNN 2.7
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better