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16 deep learning architectures, including CNNs, Vision Transformers, and Hybrid models, are benchmarked for energy consumption. The dataset contains empirical measurements of fine-tuning training energy and inference energy on NVIDIA A100 GPU and AMD EPYC CPU platforms. It was created by Abderrahmen Jedidi and last updated in May 2026.
License is CC-BY-4.0. The dataset is a 316.0 KB ZIP file, indicating a very small scope likely containing summary results and scripts.