7950X_4090_ubuntu22_pytorch
7950X_4090_ubuntu22_pytorch


7950X_4090_ubuntu22_pytorch: 

	Processor: AMD Ryzen 9 7950X 16-Core @ 5.88GHz (16 Cores / 32 Threads), Motherboard: 0KDR38 (1.10.1 BIOS), Chipset: AMD Device 14d8, Memory: 4 x 32 GB DDR5-3600MT/s M323R4GA3BB0-CQKOD, Disk: CA6-8D2048-Q11 NVMe SSSTC 2048GB + 2000GB Seagate ST2000DM008-2UB1, Graphics: NVIDIA GeForce RTX 4090 24GB, Audio: NVIDIA Device 22ba, Monitor: LG HDR DQHD, Network: Realtek RTL8125 2.5GbE + Qualcomm Atheros QCNFA765

	OS: Ubuntu 22.04, Kernel: 6.5.0-26-generic (x86_64), Desktop: GNOME Shell 42.9, Display Server: X Server 1.21.1.4, Display Driver: NVIDIA 550.54.14, OpenGL: 4.6.0, OpenCL: OpenCL 3.0 CUDA 12.4.89, Vulkan: 1.3.277, Compiler: GCC 11.4.0 + CUDA 12.4, File-System: ext4, Screen Resolution: 3840x1080


PyTorch 2.2.1
Device: NVIDIA CUDA GPU - Batch Size: 1 - Model: ResNet-50
batches/sec > Higher Is Better
7950X_4090_ubuntu22_pytorch . 389.01 |=========================================


PyTorch 2.2.1
Device: NVIDIA CUDA GPU - Batch Size: 1 - Model: ResNet-152
batches/sec > Higher Is Better
7950X_4090_ubuntu22_pytorch . 138.05 |=========================================


PyTorch 2.2.1
Device: NVIDIA CUDA GPU - Batch Size: 16 - Model: ResNet-50
batches/sec > Higher Is Better
7950X_4090_ubuntu22_pytorch . 380.15 |=========================================


PyTorch 2.2.1
Device: NVIDIA CUDA GPU - Batch Size: 32 - Model: ResNet-50
batches/sec > Higher Is Better
7950X_4090_ubuntu22_pytorch . 380.93 |=========================================


PyTorch 2.2.1
Device: NVIDIA CUDA GPU - Batch Size: 64 - Model: ResNet-50
batches/sec > Higher Is Better
7950X_4090_ubuntu22_pytorch . 380.31 |=========================================


PyTorch 2.2.1
Device: NVIDIA CUDA GPU - Batch Size: 16 - Model: ResNet-152
batches/sec > Higher Is Better
7950X_4090_ubuntu22_pytorch . 138.68 |=========================================


PyTorch 2.2.1
Device: NVIDIA CUDA GPU - Batch Size: 256 - Model: ResNet-50
batches/sec > Higher Is Better
7950X_4090_ubuntu22_pytorch . 379.16 |=========================================


PyTorch 2.2.1
Device: NVIDIA CUDA GPU - Batch Size: 32 - Model: ResNet-152
batches/sec > Higher Is Better
7950X_4090_ubuntu22_pytorch . 138.82 |=========================================


PyTorch 2.2.1
Device: NVIDIA CUDA GPU - Batch Size: 512 - Model: ResNet-50
batches/sec > Higher Is Better
7950X_4090_ubuntu22_pytorch . 379.59 |=========================================


PyTorch 2.2.1
Device: NVIDIA CUDA GPU - Batch Size: 64 - Model: ResNet-152
batches/sec > Higher Is Better
7950X_4090_ubuntu22_pytorch . 139.49 |=========================================


PyTorch 2.2.1
Device: NVIDIA CUDA GPU - Batch Size: 256 - Model: ResNet-152
batches/sec > Higher Is Better
7950X_4090_ubuntu22_pytorch . 139.57 |=========================================


PyTorch 2.2.1
Device: NVIDIA CUDA GPU - Batch Size: 512 - Model: ResNet-152
batches/sec > Higher Is Better
7950X_4090_ubuntu22_pytorch . 139.59 |=========================================


PyTorch 2.2.1
Device: NVIDIA CUDA GPU - Batch Size: 1 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
7950X_4090_ubuntu22_pytorch . 71.99 |==========================================


PyTorch 2.2.1
Device: NVIDIA CUDA GPU - Batch Size: 16 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
7950X_4090_ubuntu22_pytorch . 69.60 |==========================================


PyTorch 2.2.1
Device: NVIDIA CUDA GPU - Batch Size: 32 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
7950X_4090_ubuntu22_pytorch . 69.73 |==========================================


PyTorch 2.2.1
Device: NVIDIA CUDA GPU - Batch Size: 64 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
7950X_4090_ubuntu22_pytorch . 69.47 |==========================================


PyTorch 2.2.1
Device: NVIDIA CUDA GPU - Batch Size: 256 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
7950X_4090_ubuntu22_pytorch . 69.64 |==========================================


PyTorch 2.2.1
Device: NVIDIA CUDA GPU - Batch Size: 512 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
7950X_4090_ubuntu22_pytorch . 69.49 |==========================================