bench_bytorch_GPU_all
bench_bytorch_GPU_all wsl testing on Ubuntu 22.04 via the Phoronix


bench_bytorch_GPU_all: 

	Processor: AMD Ryzen 9 7950X 16-Core (16 Cores / 32 Threads), Memory: 64GB, Disk: 0GB Virtual Disk + 17GB Virtual Disk + 1100GB Virtual Disk, Graphics: NVIDIA GeForce RTX 4090 24GB

	OS: Ubuntu 22.04, Kernel: 5.15.146.1-microsoft-standard-WSL2 (x86_64), Display Server: Wayland, Display Driver: nouveau, OpenGL: 4.2 Mesa 23.2.1-1ubuntu3.1~22.04.2, Vulkan: 1.3.255, Compiler: GCC 11.4.0, File-System: ext4, System Layer: wsl


PyTorch 2.2.1
Device: NVIDIA CUDA GPU - Batch Size: 1 - Model: ResNet-50
batches/sec > Higher Is Better
bench_bytorch_GPU_all . 359.62 |===============================================


PyTorch 2.2.1
Device: NVIDIA CUDA GPU - Batch Size: 1 - Model: ResNet-152
batches/sec > Higher Is Better
bench_bytorch_GPU_all . 127.87 |===============================================


PyTorch 2.2.1
Device: NVIDIA CUDA GPU - Batch Size: 1 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
bench_bytorch_GPU_all . 60.31 |================================================