ryzen 5950x pytorch
AMD Ryzen 9 5950X 16-Core testing with a MSI B550 GAMING GEN3 (MS-7B86) v5.0 (P.91 BIOS) and XFX AMD Radeon RX 6750 XT 12GB on Ubuntu 24.04 via the Phoronix Test Suite.


AMD Ryzen 9 5950X 16-Core - XFX AMD Radeon RX 6750 XT: 

	Processor: AMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores / 32 Threads), Motherboard: MSI B550 GAMING GEN3 (MS-7B86) v5.0 (P.91 BIOS), Chipset: AMD Starship/Matisse, Memory: 16 + 8 + 16 + 8 DDR4-3600MT/s, Disk: 2000GB CT2000P3PSSD8, Graphics: XFX AMD Radeon RX 6750 XT 12GB, Audio: AMD Navi 21/23, Monitor: XV271U M3, Network: Realtek RTL8111/8168/8211/8411 + Intel Wi-Fi 6 AX200

	OS: Ubuntu 24.04, Kernel: 6.8.0-49-generic (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.2.0-devel (LLVM 18.1.7 DRM 3.58), OpenCL: OpenCL 2.1 AMD-APP (3625.0), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 2560x1440


PyTorch 2.2.1
Device: CPU - Batch Size: 1 - Model: ResNet-50
batches/sec > Higher Is Better
AMD Ryzen 9 5950X 16-Core - XFX AMD Radeon RX 6750 XT . 43.31 |================


PyTorch 2.2.1
Device: CPU - Batch Size: 1 - Model: ResNet-152
batches/sec > Higher Is Better
AMD Ryzen 9 5950X 16-Core - XFX AMD Radeon RX 6750 XT . 17.52 |================


PyTorch 2.2.1
Device: CPU - Batch Size: 16 - Model: ResNet-50
batches/sec > Higher Is Better
AMD Ryzen 9 5950X 16-Core - XFX AMD Radeon RX 6750 XT . 33.47 |================


PyTorch 2.2.1
Device: CPU - Batch Size: 32 - Model: ResNet-50
batches/sec > Higher Is Better
AMD Ryzen 9 5950X 16-Core - XFX AMD Radeon RX 6750 XT . 33.44 |================


PyTorch 2.2.1
Device: CPU - Batch Size: 64 - Model: ResNet-50
batches/sec > Higher Is Better
AMD Ryzen 9 5950X 16-Core - XFX AMD Radeon RX 6750 XT . 33.69 |================


PyTorch 2.2.1
Device: CPU - Batch Size: 16 - Model: ResNet-152
batches/sec > Higher Is Better
AMD Ryzen 9 5950X 16-Core - XFX AMD Radeon RX 6750 XT . 13.07 |================


PyTorch 2.2.1
Device: CPU - Batch Size: 256 - Model: ResNet-50
batches/sec > Higher Is Better
AMD Ryzen 9 5950X 16-Core - XFX AMD Radeon RX 6750 XT . 34.13 |================


PyTorch 2.2.1
Device: CPU - Batch Size: 32 - Model: ResNet-152
batches/sec > Higher Is Better
AMD Ryzen 9 5950X 16-Core - XFX AMD Radeon RX 6750 XT . 13.15 |================


PyTorch 2.2.1
Device: CPU - Batch Size: 512 - Model: ResNet-50
batches/sec > Higher Is Better
AMD Ryzen 9 5950X 16-Core - XFX AMD Radeon RX 6750 XT . 33.66 |================


PyTorch 2.2.1
Device: CPU - Batch Size: 64 - Model: ResNet-152
batches/sec > Higher Is Better
AMD Ryzen 9 5950X 16-Core - XFX AMD Radeon RX 6750 XT . 13.15 |================


PyTorch 2.2.1
Device: CPU - Batch Size: 256 - Model: ResNet-152
batches/sec > Higher Is Better
AMD Ryzen 9 5950X 16-Core - XFX AMD Radeon RX 6750 XT . 13.18 |================


PyTorch 2.2.1
Device: CPU - Batch Size: 512 - Model: ResNet-152
batches/sec > Higher Is Better
AMD Ryzen 9 5950X 16-Core - XFX AMD Radeon RX 6750 XT . 13.24 |================


PyTorch 2.2.1
Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
AMD Ryzen 9 5950X 16-Core - XFX AMD Radeon RX 6750 XT . 10.77 |================


PyTorch 2.2.1
Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
AMD Ryzen 9 5950X 16-Core - XFX AMD Radeon RX 6750 XT . 7.84 |=================


PyTorch 2.2.1
Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
AMD Ryzen 9 5950X 16-Core - XFX AMD Radeon RX 6750 XT . 7.85 |=================


PyTorch 2.2.1
Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
AMD Ryzen 9 5950X 16-Core - XFX AMD Radeon RX 6750 XT . 7.74 |=================


PyTorch 2.2.1
Device: CPU - Batch Size: 256 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
AMD Ryzen 9 5950X 16-Core - XFX AMD Radeon RX 6750 XT . 7.75 |=================


PyTorch 2.2.1
Device: CPU - Batch Size: 512 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
AMD Ryzen 9 5950X 16-Core - XFX AMD Radeon RX 6750 XT . 7.74 |=================