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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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 |================== 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: 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: 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: 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: 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: 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-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: 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: 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: 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: 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: 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: 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: 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: 512 - Model: Efficientnet_v2_l batches/sec > Higher Is Better AMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX . 38.48 |===================