onednn NVIDIA GH200
ARMv8 Neoverse-V2 testing with a Quanta Cloud QuantaGrid S74G-2U 1S7GZ9Z0000 S7G MB (CG1) (3A06 BIOS) and NVIDIA GH200 480GB on Ubuntu 22.04 via the Phoronix Test Suite.


a: 

	Processor: ARMv8 Neoverse-V2 @ 3.39GHz (72 Cores), Motherboard: Quanta Cloud QuantaGrid S74G-2U 1S7GZ9Z0000 S7G MB (CG1) (3A06 BIOS), Memory: 1 x 480GB DRAM-6400MT/s, Disk: 960GB SAMSUNG MZ1L2960HCJR-00A07 + 1920GB SAMSUNG MZTL21T9, Graphics: NVIDIA GH200 480GB, Network: 2 x Mellanox MT2910 + 2 x QLogic FastLinQ QL41000 10/25/40/50GbE

	OS: Ubuntu 22.04, Kernel: 6.5.0-1007-NVIDIA-64k (aarch64), Display Driver: NVIDIA, OpenCL: OpenCL 3.0 CUDA 12.4.89, Vulkan: 1.3.277, Compiler: GCC 11.4.0 + CUDA 11.5, File-System: ext4, Screen Resolution: 1920x1200

b: 

	Processor: ARMv8 Neoverse-V2 @ 3.39GHz (72 Cores), Motherboard: Quanta Cloud QuantaGrid S74G-2U 1S7GZ9Z0000 S7G MB (CG1) (3A06 BIOS), Memory: 1 x 480GB DRAM-6400MT/s, Disk: 960GB SAMSUNG MZ1L2960HCJR-00A07 + 1920GB SAMSUNG MZTL21T9, Graphics: NVIDIA GH200 480GB, Network: 2 x Mellanox MT2910 + 2 x QLogic FastLinQ QL41000 10/25/40/50GbE

	OS: Ubuntu 22.04, Kernel: 6.5.0-1007-NVIDIA-64k (aarch64), Display Driver: NVIDIA, OpenCL: OpenCL 3.0 CUDA 12.4.89, Vulkan: 1.3.277, Compiler: GCC 11.4.0 + CUDA 11.5, File-System: ext4, Screen Resolution: 1920x1200

c: 

	Processor: ARMv8 Neoverse-V2 @ 3.39GHz (72 Cores), Motherboard: Quanta Cloud QuantaGrid S74G-2U 1S7GZ9Z0000 S7G MB (CG1) (3A06 BIOS), Memory: 1 x 480GB DRAM-6400MT/s, Disk: 960GB SAMSUNG MZ1L2960HCJR-00A07 + 1920GB SAMSUNG MZTL21T9, Graphics: NVIDIA GH200 480GB, Network: 2 x Mellanox MT2910 + 2 x QLogic FastLinQ QL41000 10/25/40/50GbE

	OS: Ubuntu 22.04, Kernel: 6.5.0-1007-NVIDIA-64k (aarch64), Display Driver: NVIDIA, OpenCL: OpenCL 3.0 CUDA 12.4.89, Vulkan: 1.3.277, Compiler: GCC 11.4.0 + CUDA 11.5, File-System: ext4, Screen Resolution: 1920x1200

d: 

	Processor: ARMv8 Neoverse-V2 @ 3.39GHz (72 Cores), Motherboard: Quanta Cloud QuantaGrid S74G-2U 1S7GZ9Z0000 S7G MB (CG1) (3A06 BIOS), Memory: 1 x 480GB DRAM-6400MT/s, Disk: 960GB SAMSUNG MZ1L2960HCJR-00A07 + 1920GB SAMSUNG MZTL21T9, Graphics: NVIDIA GH200 480GB, Network: 2 x Mellanox MT2910 + 2 x QLogic FastLinQ QL41000 10/25/40/50GbE

	OS: Ubuntu 22.04, Kernel: 6.5.0-1007-NVIDIA-64k (aarch64), Display Driver: NVIDIA, OpenCL: OpenCL 3.0 CUDA 12.4.89, Vulkan: 1.3.277, Compiler: GCC 11.4.0 + CUDA 11.5, File-System: ext4, Screen Resolution: 1920x1200


oneDNN 3.4
Harness: IP Shapes 1D - Engine: CPU
ms < Lower Is Better
a . 4.17093 |==================================================================
b . 4.13326 |=================================================================
c . 4.11456 |=================================================================
d . 4.09690 |=================================================================


oneDNN 3.4
Harness: IP Shapes 3D - Engine: CPU
ms < Lower Is Better
a . 1.83694 |==================================================================
b . 1.83867 |==================================================================
c . 1.82904 |==================================================================
d . 1.83058 |==================================================================


oneDNN 3.4
Harness: Convolution Batch Shapes Auto - Engine: CPU
ms < Lower Is Better
a . 4.71311 |==================================================================
b . 4.72171 |==================================================================
c . 4.70649 |==================================================================
d . 4.71070 |==================================================================


oneDNN 3.4
Harness: Deconvolution Batch shapes_1d - Engine: CPU
ms < Lower Is Better
a . 24.48 |====================================================================
b . 24.53 |====================================================================
c . 24.56 |====================================================================
d . 24.49 |====================================================================


oneDNN 3.4
Harness: Deconvolution Batch shapes_3d - Engine: CPU
ms < Lower Is Better
a . 6.43106 |==================================================================
b . 6.43839 |==================================================================
c . 6.44031 |==================================================================
d . 6.44054 |==================================================================


oneDNN 3.4
Harness: Recurrent Neural Network Training - Engine: CPU
ms < Lower Is Better
a . 3583.01 |==================================================================
b . 3584.68 |==================================================================
c . 3574.73 |=================================================================
d . 3602.94 |==================================================================


oneDNN 3.4
Harness: Recurrent Neural Network Inference - Engine: CPU
ms < Lower Is Better
a . 2283.74 |==================================================================
b . 2287.55 |==================================================================
c . 2286.80 |==================================================================
d . 2280.18 |==================================================================