nogaAllPyTorchResults AMD Ryzen 9 9950X 16-Core testing with a ASUS PRIME B650M-A II (3201 BIOS) and NVIDIA GeForce RTX 4060 Ti 16GB on Ubuntu 24.04 via the Phoronix Test Suite. ptRun2: Processor: AMD Ryzen 9 9950X 16-Core @ 5.75GHz (16 Cores / 32 Threads), Motherboard: ASUS PRIME B650M-A II (3201 BIOS), Chipset: AMD Device 14d8, Memory: 4 x 48GB DDR5-3600MT/s G Skill F5-6800J3446F48G, Disk: 2000GB Samsung SSD 980 PRO 2TB, Graphics: NVIDIA GeForce RTX 4060 Ti 16GB, Audio: NVIDIA Device 22bd, Network: 2 x Intel 10-Gigabit X540-AT2 + Realtek RTL8125 2.5GbE OS: Ubuntu 24.04, Kernel: 6.8.0-51-generic (x86_64), Display Server: X Server 1.21.1.11, Display Driver: NVIDIA, Compiler: GCC 13.3.0 + CUDA 12.4, File-System: ext4, Screen Resolution: 1920x1080 PyTorch 2.2.1 Device: CPU - Batch Size: 1 - Model: ResNet-50 batches/sec > Higher Is Better ptRun2 . 73.27 |=============================================================== PyTorch 2.2.1 Device: CPU - Batch Size: 1 - Model: ResNet-152 batches/sec > Higher Is Better ptRun2 . 29.80 |=============================================================== PyTorch 2.2.1 Device: CPU - Batch Size: 16 - Model: ResNet-50 batches/sec > Higher Is Better ptRun2 . 53.21 |=============================================================== PyTorch 2.2.1 Device: CPU - Batch Size: 32 - Model: ResNet-50 batches/sec > Higher Is Better ptRun2 . 52.11 |=============================================================== PyTorch 2.2.1 Device: CPU - Batch Size: 64 - Model: ResNet-50 batches/sec > Higher Is Better ptRun2 . 52.37 |=============================================================== PyTorch 2.2.1 Device: CPU - Batch Size: 16 - Model: ResNet-152 batches/sec > Higher Is Better ptRun2 . 21.36 |=============================================================== PyTorch 2.2.1 Device: CPU - Batch Size: 256 - Model: ResNet-50 batches/sec > Higher Is Better ptRun2 . 52.52 |=============================================================== PyTorch 2.2.1 Device: CPU - Batch Size: 32 - Model: ResNet-152 batches/sec > Higher Is Better ptRun2 . 21.22 |=============================================================== PyTorch 2.2.1 Device: CPU - Batch Size: 512 - Model: ResNet-50 batches/sec > Higher Is Better ptRun2 . 52.98 |=============================================================== PyTorch 2.2.1 Device: CPU - Batch Size: 64 - Model: ResNet-152 batches/sec > Higher Is Better ptRun2 . 21.27 |=============================================================== PyTorch 2.2.1 Device: CPU - Batch Size: 256 - Model: ResNet-152 batches/sec > Higher Is Better ptRun2 . 21.81 |=============================================================== PyTorch 2.2.1 Device: CPU - Batch Size: 512 - Model: ResNet-152 batches/sec > Higher Is Better ptRun2 . 21.69 |=============================================================== PyTorch 2.2.1 Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l batches/sec > Higher Is Better ptRun2 . 16.18 |=============================================================== PyTorch 2.2.1 Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l batches/sec > Higher Is Better ptRun2 . 12.70 |=============================================================== PyTorch 2.2.1 Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l batches/sec > Higher Is Better ptRun2 . 12.56 |=============================================================== PyTorch 2.2.1 Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_l batches/sec > Higher Is Better ptRun2 . 12.61 |=============================================================== PyTorch 2.2.1 Device: CPU - Batch Size: 256 - Model: Efficientnet_v2_l batches/sec > Higher Is Better ptRun2 . 12.49 |=============================================================== PyTorch 2.2.1 Device: CPU - Batch Size: 512 - Model: Efficientnet_v2_l batches/sec > Higher Is Better ptRun2 . 12.59 |=============================================================== PyTorch 2.2.1 Device: NVIDIA CUDA GPU - Batch Size: 1 - Model: ResNet-50 batches/sec > Higher Is Better ptRun2 . 546.09 |============================================================== PyTorch 2.2.1 Device: NVIDIA CUDA GPU - Batch Size: 1 - Model: ResNet-152 batches/sec > Higher Is Better ptRun2 . 212.67 |============================================================== PyTorch 2.2.1 Device: NVIDIA CUDA GPU - Batch Size: 16 - Model: ResNet-50 batches/sec > Higher Is Better ptRun2 . 401.90 |============================================================== PyTorch 2.2.1 Device: NVIDIA CUDA GPU - Batch Size: 32 - Model: ResNet-50 batches/sec > Higher Is Better ptRun2 . 402.56 |============================================================== PyTorch 2.2.1 Device: NVIDIA CUDA GPU - Batch Size: 64 - Model: ResNet-50 batches/sec > Higher Is Better ptRun2 . 402.07 |============================================================== PyTorch 2.2.1 Device: NVIDIA CUDA GPU - Batch Size: 16 - Model: ResNet-152 batches/sec > Higher Is Better ptRun2 . 169.72 |============================================================== PyTorch 2.2.1 Device: NVIDIA CUDA GPU - Batch Size: 256 - Model: ResNet-50 batches/sec > Higher Is Better ptRun2 . 400.84 |============================================================== PyTorch 2.2.1 Device: NVIDIA CUDA GPU - Batch Size: 32 - Model: ResNet-152 batches/sec > Higher Is Better ptRun2 . 170.11 |============================================================== PyTorch 2.2.1 Device: NVIDIA CUDA GPU - Batch Size: 512 - Model: ResNet-50 batches/sec > Higher Is Better ptRun2 . 400.50 |============================================================== PyTorch 2.2.1 Device: NVIDIA CUDA GPU - Batch Size: 64 - Model: ResNet-152 batches/sec > Higher Is Better ptRun2 . 170.14 |============================================================== PyTorch 2.2.1 Device: NVIDIA CUDA GPU - Batch Size: 256 - Model: ResNet-152 batches/sec > Higher Is Better ptRun2 . 170.09 |============================================================== PyTorch 2.2.1 Device: NVIDIA CUDA GPU - Batch Size: 512 - Model: ResNet-152 batches/sec > Higher Is Better ptRun2 . 170.15 |============================================================== PyTorch 2.2.1 Device: NVIDIA CUDA GPU - Batch Size: 1 - Model: Efficientnet_v2_l batches/sec > Higher Is Better ptRun2 . 113.69 |============================================================== PyTorch 2.2.1 Device: NVIDIA CUDA GPU - Batch Size: 16 - Model: Efficientnet_v2_l batches/sec > Higher Is Better ptRun2 . 102.33 |============================================================== PyTorch 2.2.1 Device: NVIDIA CUDA GPU - Batch Size: 32 - Model: Efficientnet_v2_l batches/sec > Higher Is Better ptRun2 . 102.31 |============================================================== PyTorch 2.2.1 Device: NVIDIA CUDA GPU - Batch Size: 64 - Model: Efficientnet_v2_l batches/sec > Higher Is Better ptRun2 . 102.31 |============================================================== PyTorch 2.2.1 Device: NVIDIA CUDA GPU - Batch Size: 256 - Model: Efficientnet_v2_l batches/sec > Higher Is Better ptRun2 . 102.23 |============================================================== PyTorch 2.2.1 Device: NVIDIA CUDA GPU - Batch Size: 512 - Model: Efficientnet_v2_l batches/sec > Higher Is Better ptRun2 . 102.25 |==============================================================