a4500
A4500


a4500: 

	Processor: AMD EPYC 7543P 32-Core (4 Cores / 8 Threads), Motherboard: Blade Shadow ShadowM v2.0 (1.1.3 BIOS), Chipset: Intel 82G33/G31/P35/P31 + ICH9, Memory: 1 x 16GB RAM-2400MT/s Blade 6VFNGH6OE2PFL5-81X, Disk: 215GB QEMU HDD, Graphics: Red Hat QXL paravirtual graphic card 20GB, Network: Red Hat Virtio device

	OS: Ubuntu 22.04, Kernel: 5.15.0-119-generic (x86_64), Display Driver: NVIDIA, Compiler: GCC 11.4.0 + CUDA 12.4, File-System: ext4, Screen Resolution: 1280x800, System Layer: KVM


PyTorch 2.2.1
Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
a4500 . 3.95 |=================================================================


PyTorch 2.2.1
Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
a4500 . 3.97 |=================================================================


PyTorch 2.2.1
Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
a4500 . 3.96 |=================================================================


PyTorch 2.2.1
Device: CPU - Batch Size: 512 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
a4500 . 4.04 |=================================================================


PyTorch 2.2.1
Device: CPU - Batch Size: 256 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
a4500 . 4.03 |=================================================================


PyTorch 2.2.1
Device: CPU - Batch Size: 32 - Model: ResNet-50
batches/sec > Higher Is Better
a4500 . 14.48 |================================================================


PyTorch 2.2.1
Device: CPU - Batch Size: 256 - Model: ResNet-152
batches/sec > Higher Is Better
a4500 . 5.79 |=================================================================


PyTorch 2.2.1
Device: CPU - Batch Size: 512 - Model: ResNet-152
batches/sec > Higher Is Better
a4500 . 5.83 |=================================================================


PyTorch 2.2.1
Device: CPU - Batch Size: 64 - Model: ResNet-152
batches/sec > Higher Is Better
a4500 . 5.82 |=================================================================


PyTorch 2.2.1
Device: CPU - Batch Size: 16 - Model: ResNet-152
batches/sec > Higher Is Better
a4500 . 5.83 |=================================================================


PyTorch 2.2.1
Device: CPU - Batch Size: 32 - Model: ResNet-152
batches/sec > Higher Is Better
a4500 . 5.84 |=================================================================


PyTorch 2.2.1
Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
a4500 . 6.06 |=================================================================


PyTorch 2.2.1
Device: CPU - Batch Size: 512 - Model: ResNet-50
batches/sec > Higher Is Better
a4500 . 14.74 |================================================================


PyTorch 2.2.1
Device: CPU - Batch Size: 16 - Model: ResNet-50
batches/sec > Higher Is Better
a4500 . 14.80 |================================================================


PyTorch 2.2.1
Device: CPU - Batch Size: 256 - Model: ResNet-50
batches/sec > Higher Is Better
a4500 . 14.88 |================================================================


PyTorch 2.2.1
Device: CPU - Batch Size: 64 - Model: ResNet-50
batches/sec > Higher Is Better
a4500 . 14.86 |================================================================


PyTorch 2.2.1
Device: CPU - Batch Size: 1 - Model: ResNet-152
batches/sec > Higher Is Better
a4500 . 9.55 |=================================================================


PyTorch 2.2.1
Device: CPU - Batch Size: 1 - Model: ResNet-50
batches/sec > Higher Is Better
a4500 . 24.63 |================================================================