res4
AMD Ryzen 9 5900X 12-Core testing with a ASRock X570 Steel Legend (P5.63 BIOS) and MSI NVIDIA GeForce RTX 3080 12GB on Ubuntu 22.04 via the Phoronix Test Suite.


AMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX: 

	Processor: AMD Ryzen 9 5900X 12-Core @ 3.70GHz (12 Cores / 24 Threads), Motherboard: ASRock X570 Steel Legend (P5.63 BIOS), Chipset: AMD Starship/Matisse, Memory: 2 x 16GB DDR4-3600MT/s TEAMGROUP-UD4-3200, Disk: 1000GB Western Digital WDS100T3X0C-00SJG0 + 1000GB Western Digital WD Blue SN580 1TB + 2000GB Seagate ST2000DX001-1CM1, Graphics: MSI NVIDIA GeForce RTX 3080 12GB, Audio: NVIDIA GA102 HD Audio, Monitor: DELL S2721QS, Network: Intel I211 + Intel Dual Band-AC 3168NGW

	OS: Ubuntu 22.04, Kernel: 6.8.0-49-generic (x86_64), Desktop: GNOME Shell 42.9, Display Server: X Server 1.21.1.4, Display Driver: NVIDIA 560.35.05, OpenGL: 4.6.0, OpenCL: OpenCL 3.0 CUDA 12.6.65, Compiler: GCC 11.4.0 + CUDA 12.6, File-System: ext4, Screen Resolution: 5120x2880


PyTorch 2.2.1
Device: NVIDIA CUDA GPU - Batch Size: 16 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
AMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX . 38.68 |===================


PyTorch 2.2.1
Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
AMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX . 7.42 |====================


PyTorch 2.2.1
Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
AMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX . 7.44 |====================


PyTorch 2.2.1
Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
AMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX . 7.47 |====================


PyTorch 2.2.1
Device: CPU - Batch Size: 256 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
AMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX . 7.46 |====================


PyTorch 2.2.1
Device: CPU - Batch Size: 512 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
AMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX . 7.47 |====================


PyTorch 2.2.1
Device: CPU - Batch Size: 512 - Model: ResNet-152
batches/sec > Higher Is Better
AMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX . 12.48 |===================


PyTorch 2.2.1
Device: CPU - Batch Size: 32 - Model: ResNet-152
batches/sec > Higher Is Better
AMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX . 12.54 |===================


PyTorch 2.2.1
Device: CPU - Batch Size: 256 - Model: ResNet-152
batches/sec > Higher Is Better
AMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX . 12.54 |===================


PyTorch 2.2.1
Device: CPU - Batch Size: 16 - Model: ResNet-152
batches/sec > Higher Is Better
AMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX . 12.59 |===================


PyTorch 2.2.1
Device: CPU - Batch Size: 64 - Model: ResNet-152
batches/sec > Higher Is Better
AMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX . 12.67 |===================


PyTorch 2.2.1
Device: CPU - Batch Size: 32 - Model: ResNet-50
batches/sec > Higher Is Better
AMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX . 30.89 |===================


PyTorch 2.2.1
Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
AMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX . 10.75 |===================


PyTorch 2.2.1
Device: NVIDIA CUDA GPU - Batch Size: 32 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
AMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX . 38.77 |===================


PyTorch 2.2.1
Device: NVIDIA CUDA GPU - Batch Size: 1 - Model: ResNet-152
batches/sec > Higher Is Better
AMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX . 74.95 |===================


PyTorch 2.2.1
Device: CPU - Batch Size: 1 - Model: ResNet-152
batches/sec > Higher Is Better
AMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX . 16.62 |===================


PyTorch 2.2.1
Device: CPU - Batch Size: 512 - Model: ResNet-50
batches/sec > Higher Is Better
AMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX . 31.29 |===================


PyTorch 2.2.1
Device: CPU - Batch Size: 16 - Model: ResNet-50
batches/sec > Higher Is Better
AMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX . 31.34 |===================


PyTorch 2.2.1
Device: CPU - Batch Size: 256 - Model: ResNet-50
batches/sec > Higher Is Better
AMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX . 31.29 |===================


PyTorch 2.2.1
Device: CPU - Batch Size: 64 - Model: ResNet-50
batches/sec > Higher Is Better
AMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX . 31.50 |===================


PyTorch 2.2.1
Device: NVIDIA CUDA GPU - Batch Size: 512 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
AMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX . 38.48 |===================


PyTorch 2.2.1
Device: NVIDIA CUDA GPU - Batch Size: 64 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
AMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX . 38.69 |===================


PyTorch 2.2.1
Device: NVIDIA CUDA GPU - Batch Size: 256 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
AMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX . 38.89 |===================


PyTorch 2.2.1
Device: NVIDIA CUDA GPU - Batch Size: 64 - Model: ResNet-50
batches/sec > Higher Is Better
AMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX . 215.27 |==================


PyTorch 2.2.1
Device: NVIDIA CUDA GPU - Batch Size: 16 - Model: ResNet-152
batches/sec > Higher Is Better
AMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX . 74.74 |===================


PyTorch 2.2.1
Device: NVIDIA CUDA GPU - Batch Size: 32 - Model: ResNet-152
batches/sec > Higher Is Better
AMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX . 74.87 |===================


PyTorch 2.2.1
Device: NVIDIA CUDA GPU - Batch Size: 512 - Model: ResNet-152
batches/sec > Higher Is Better
AMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX . 75.09 |===================


PyTorch 2.2.1
Device: NVIDIA CUDA GPU - Batch Size: 256 - Model: ResNet-152
batches/sec > Higher Is Better
AMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX . 75.90 |===================


PyTorch 2.2.1
Device: NVIDIA CUDA GPU - Batch Size: 64 - Model: ResNet-152
batches/sec > Higher Is Better
AMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX . 77.23 |===================


PyTorch 2.2.1
Device: NVIDIA CUDA GPU - Batch Size: 1 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
AMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX . 39.31 |===================


PyTorch 2.2.1
Device: CPU - Batch Size: 1 - Model: ResNet-50
batches/sec > Higher Is Better
AMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX . 43.00 |===================


PyTorch 2.2.1
Device: NVIDIA CUDA GPU - Batch Size: 512 - Model: ResNet-50
batches/sec > Higher Is Better
AMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX . 215.46 |==================


PyTorch 2.2.1
Device: NVIDIA CUDA GPU - Batch Size: 32 - Model: ResNet-50
batches/sec > Higher Is Better
AMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX . 214.52 |==================


PyTorch 2.2.1
Device: NVIDIA CUDA GPU - Batch Size: 16 - Model: ResNet-50
batches/sec > Higher Is Better
AMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX . 216.90 |==================


PyTorch 2.2.1
Device: NVIDIA CUDA GPU - Batch Size: 256 - Model: ResNet-50
batches/sec > Higher Is Better
AMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX . 216.56 |==================


PyTorch 2.2.1
Device: NVIDIA CUDA GPU - Batch Size: 1 - Model: ResNet-50
batches/sec > Higher Is Better
AMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX . 214.06 |==================