Raspberry Pi 5 ML Accelerator Benchmark Kit - Compare AI HAT+, Coral USB, and Pi 5 CPU

Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.

This kit transforms a Raspberry Pi 5 into a reproducible testbed for evaluating neural network inference hardware. You'll run the same convolutional neural network (CNN) model on three distinct accelerators-the Pi 5's Cortex-A76 CPU cores, the onboard Raspberry Pi AI HAT+, and Google's Coral USB-then capture latency, throughput, and power consumption using a precision INA226 monitor. Ideal for final-year engineering projects, lab assignments, or research papers that demand empirical edge-AI performance data.

What You'll Build

A standardized benchmarking station that executes a CNN model across CPU and two dedicated AI accelerators, logging per-inference time, frames per second, and milliwatt draw. You'll produce comparative charts and datasets that quantify exactly how each hardware option handles computer vision workloads-critical evidence for selecting the right edge platform in academic or Smart India Hackathon designs.

What You'll Learn

• Setting up a reproducible ML inference environment across different backends on Raspberry Pi 5
• Profiling neural network latency and throughput with TensorFlow Lite and the Coral USB Edge TPU runtime
• Interfacing the INA226 power monitor over I�C to measure real-time current and voltage during model runs
• Analyzing performance-per-watt trade-offs between CPU-only, dedicated NPU, and USB accelerator configurations

Kit Contents

Why Buy This Kit Instead of Sourcing Parts Separately

Who This Kit Is For

Engineers and students at IITs, NITs, VIT, BITS Pilani, and other top Indian colleges who need rigorous, comparative inference data for capstone projects or research publications. It fits directly into B.Tech ECE/EEE/CS lab curricula, Smart India Hackathon challenges involving edge ML, and institutional research groups exploring on-device AI accelerators. If you're an advanced maker bridging software model optimization with hardware-level power measurement, this kit provides the exact platform to generate publishable results.

Built and Backed by Compoden

Every Compoden kit ships with an AI build companion trained on this exact project - accessible via a QR code on the box, with WhatsApp and email backup. We've spent 10 years building projects for makers, schools, and institutions across India. If a part fails because of a manufacturing defect, replace it free within 7 days.