onednn1
fbsd


fbsd: 

	Processor: AMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores), Motherboard: X570S PG Riptide, Chipset: AMD [AMD] Starship/Matisse Root Complex, Memory: 64GB, Disk: 2 x Generic NVMe Device, Graphics: NVIDIA RTX A2000 6GB, Audio: NVIDIA (0x228e) HDA, Monitor: Art M

	OS: FreeBSD, Kernel: 14.1-STABLE (x86_64), Desktop: KDE Plasma 5.27.11, Display Server: X Server 1.21.1.13, Display Driver: NVIDIA 550.54.14, OpenGL: 4.6.0, Compiler: Clang 18.1.5, File-System: zfs, Screen Resolution: 9216x2880


oneDNN 3.4
Harness: IP Shapes 1D - Engine: CPU
ms < Lower Is Better
fbsd . 2.71600 |===============================================================


oneDNN 3.4
Harness: IP Shapes 3D - Engine: CPU
ms < Lower Is Better
fbsd . 9.62256 |===============================================================


oneDNN 3.4
Harness: Convolution Batch Shapes Auto - Engine: CPU
ms < Lower Is Better
fbsd . 9.54907 |===============================================================


oneDNN 3.4
Harness: Deconvolution Batch shapes_1d - Engine: CPU
ms < Lower Is Better
fbsd . 3.78454 |===============================================================


oneDNN 3.4
Harness: Deconvolution Batch shapes_3d - Engine: CPU
ms < Lower Is Better
fbsd . 4.45955 |===============================================================


oneDNN 3.4
Harness: Recurrent Neural Network Training - Engine: CPU
ms < Lower Is Better
fbsd . 1927.41 |===============================================================


oneDNN 3.4
Harness: Recurrent Neural Network Inference - Engine: CPU
ms < Lower Is Better
fbsd . 994.06 |================================================================