pytorch_all_l
AMD Ryzen 9 5900X 12-Core testing with a ASUS TUF GAMING B550M-PLUS (WI-FI) (1801 BIOS) and MSI NVIDIA GeForce RTX 3080 10GB on Ubuntu 22.04 via the Phoronix Test Suite.


pytorch_all: 

	Processor: AMD Ryzen 9 5900X 12-Core @ 3.70GHz (12 Cores / 24 Threads), Motherboard: ASUS TUF GAMING B550M-PLUS (WI-FI) (1801 BIOS), Chipset: AMD Starship/Matisse, Memory: 4 x 16 GB DDR4-2666MT/s CRUCIAL, Disk: 1000GB Western Digital WDS100T2B0C-00PXH0, Graphics: MSI NVIDIA GeForce RTX 3080 10GB, Audio: NVIDIA GA102 HD Audio, Monitor: LG TV, Network: Realtek RTL8125 2.5GbE + Intel Wi-Fi 6 AX200

	OS: Ubuntu 22.04, Kernel: 6.2.0-39-generic (x86_64), Desktop: GNOME Shell 42.9, Display Server: X Server 1.21.1.4, Display Driver: NVIDIA 535.129.03, OpenGL: 4.6.0, OpenCL: OpenCL 3.0 CUDA 12.2.147, Vulkan: 1.3.242, Compiler: GCC 11.4.0 + CUDA 11.5, File-System: ext4, Screen Resolution: 5120x2880


PyTorch 2.1
Device: CPU - Batch Size: 1 - Model: ResNet-50
batches/sec > Higher Is Better
pytorch_all . 37.37 |==========================================================


PyTorch 2.1
Device: CPU - Batch Size: 1 - Model: ResNet-152
batches/sec > Higher Is Better
pytorch_all . 14.45 |==========================================================


PyTorch 2.1
Device: CPU - Batch Size: 16 - Model: ResNet-50
batches/sec > Higher Is Better
pytorch_all . 26.65 |==========================================================


PyTorch 2.1
Device: CPU - Batch Size: 32 - Model: ResNet-50
batches/sec > Higher Is Better
pytorch_all . 26.78 |==========================================================


PyTorch 2.1
Device: CPU - Batch Size: 64 - Model: ResNet-50
batches/sec > Higher Is Better
pytorch_all . 26.21 |==========================================================


PyTorch 2.1
Device: CPU - Batch Size: 16 - Model: ResNet-152
batches/sec > Higher Is Better
pytorch_all . 11.13 |==========================================================


PyTorch 2.1
Device: CPU - Batch Size: 256 - Model: ResNet-50
batches/sec > Higher Is Better
pytorch_all . 23.33 |==========================================================


PyTorch 2.1
Device: CPU - Batch Size: 32 - Model: ResNet-152
batches/sec > Higher Is Better
pytorch_all . 11.16 |==========================================================


PyTorch 2.1
Device: CPU - Batch Size: 512 - Model: ResNet-50
batches/sec > Higher Is Better
pytorch_all . 26.35 |==========================================================


PyTorch 2.1
Device: CPU - Batch Size: 64 - Model: ResNet-152
batches/sec > Higher Is Better
pytorch_all . 11.10 |==========================================================


PyTorch 2.1
Device: CPU - Batch Size: 256 - Model: ResNet-152
batches/sec > Higher Is Better
pytorch_all . 11.24 |==========================================================


PyTorch 2.1
Device: CPU - Batch Size: 512 - Model: ResNet-152
batches/sec > Higher Is Better
pytorch_all . 11.08 |==========================================================


PyTorch 2.1
Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
pytorch_all . 9.21 |===========================================================


PyTorch 2.1
Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
pytorch_all . 6.50 |===========================================================


PyTorch 2.1
Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
pytorch_all . 6.50 |===========================================================


PyTorch 2.1
Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
pytorch_all . 6.48 |===========================================================


PyTorch 2.1
Device: CPU - Batch Size: 256 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
pytorch_all . 6.57 |===========================================================


PyTorch 2.1
Device: CPU - Batch Size: 512 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
pytorch_all . 6.53 |===========================================================