Production-grade system for benchmarking CPU vs GPU deep learning performance. Train identical CNN models on CIFAR-10, capture comprehensive metrics (time, accuracy, GPU utilization, power, energy), and visualize results through an interactive Streamlit dashboard. Built with PyTorch, CUDA, and NVML for academic research and ML systems engineering.