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	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 1IE18UKJRN5SEN-HKA, Disk: 215GB QEMU HDD, Graphics: Red Hat QXL paravirtual graphic card 20GB, Network: Red Hat Virtio device

	OS: Ubuntu 22.04, Kernel: 5.15.0-113-generic (x86_64), Display Driver: NVIDIA, OpenCL: OpenCL 3.0 CUDA 12.4.89, Vulkan: 1.3.277, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 1280x800, System Layer: KVM


TensorFlow 2.16.1
Device: GPU - Batch Size: 16 - Model: ResNet-50
images/sec > Higher Is Better
bits . 3.44 |==================================================================


TensorFlow 2.16.1
Device: GPU - Batch Size: 16 - Model: GoogLeNet
images/sec > Higher Is Better
bits . 11.75 |=================================================================


TensorFlow 2.16.1
Device: CPU - Batch Size: 16 - Model: ResNet-50
images/sec > Higher Is Better
bits . 8.42 |==================================================================


TensorFlow 2.16.1
Device: CPU - Batch Size: 16 - Model: GoogLeNet
images/sec > Higher Is Better
bits . 25.59 |=================================================================


TensorFlow 2.16.1
Device: GPU - Batch Size: 16 - Model: AlexNet
images/sec > Higher Is Better
bits . 14.41 |=================================================================


TensorFlow 2.16.1
Device: CPU - Batch Size: 16 - Model: AlexNet
images/sec > Higher Is Better
bits . 43.77 |=================================================================


TensorFlow 2.16.1
Device: GPU - Batch Size: 16 - Model: VGG-16
images/sec > Higher Is Better
bits . 1.14 |==================================================================


TensorFlow 2.16.1
Device: CPU - Batch Size: 16 - Model: VGG-16
images/sec > Higher Is Better
bits . 3.24 |==================================================================


PyTorch 2.2.1
Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
bits . 4.11 |==================================================================


PyTorch 2.2.1
Device: CPU - Batch Size: 16 - Model: ResNet-152
batches/sec > Higher Is Better
bits . 5.85 |==================================================================


PyTorch 2.2.1
Device: CPU - Batch Size: 16 - Model: ResNet-50
batches/sec > Higher Is Better
bits . 15.16 |=================================================================