pytorch001
AMD Ryzen Threadripper PRO 7965WX 24-Cores testing with a ASUS Pro WS WRX90E-SAGE SE (0404 BIOS) and NVIDIA GeForce RTX 4090 24GB on Ubuntu 22.04 via the Phoronix Test Suite.


test001: 

	Processor: AMD Ryzen Threadripper PRO 7965WX 24-Cores @ 7.30GHz (24 Cores / 48 Threads), Motherboard: ASUS Pro WS WRX90E-SAGE SE (0404 BIOS), Chipset: AMD Device 14a4, Memory: 128GB, Disk: 2000GB Sabrent SB-ROCKET-NVMe4-2TB + 0GB Virtual HDisk0, Graphics: NVIDIA GeForce RTX 4090 24GB, Audio: NVIDIA Device 22ba, Monitor: DELL U2723QE, Network: 2 x Intel X710 for 10GBASE-T

	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 545.23.08, Compiler: GCC 11.4.0 + CUDA 12.3, File-System: ext4, Screen Resolution: 4480x2160


PyTorch 2.2.1
Device: CPU - Batch Size: 32 - Model: ResNet-50
batches/sec > Higher Is Better
test001 . 46.00 |==============================================================


PyTorch 2.2.1
Device: CPU - Batch Size: 32 - Model: ResNet-152
batches/sec > Higher Is Better
test001 . 17.84 |==============================================================


PyTorch 2.2.1
Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
test001 . 9.92 |===============================================================


PyTorch 2.2.1
Device: NVIDIA CUDA GPU - Batch Size: 32 - Model: ResNet-50
batches/sec > Higher Is Better
test001 . 364.38 |=============================================================


PyTorch 2.2.1
Device: NVIDIA CUDA GPU - Batch Size: 32 - Model: ResNet-152
batches/sec > Higher Is Better
test001 . 132.78 |=============================================================


PyTorch 2.2.1
Device: NVIDIA CUDA GPU - Batch Size: 32 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
test001 . 66.63 |==============================================================