Raspberry Pi 5 AI Accelerator Benchmark Lab - Compare Hailo-8, Coral USB, and CPU Inference Performance

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

You'll run the same computer vision model - a pre-trained MobileNet-based classifier - across four inference targets: Raspberry Pi 5 CPU, AI HAT+ with integrated Hailo-8 NPU, Coral USB TPU, and a pure CPU baseline on a separate process. By instrumenting each path, you measure throughput, latency, power draw, and model accuracy, then generate a comparative report. This lab mirrors the exact benchmarking methodology used in academic Edge AI studies and industry hardware selection.

What You'll Build

A fully instrumented edge AI testbed that compares hardware accelerators under identical software conditions. After running standardized image-classification workloads, you'll produce a side-by-side performance report with statistical summaries - a ready-to-cite dataset for a college project, conference paper, or hardware procurement decision.

What You'll Learn

• Setting up and configuring heterogeneous AI accelerators (Hailo-8 NPU, Google Coral USB TPU) on Raspberry Pi 5
• Building consistent inference benchmarking scripts that measure latency, throughput, and energy per inference
• Interpreting trade-offs between edge NPU, TPU, and CPU architectures - including power efficiency and model accuracy
• Documenting and presenting benchmark results in a reproducible, scientific format

Kit Contents

Why Buy This Kit Instead of Sourcing Parts Separately

Who This Kit Is For

Built for final-year B.Tech/M.Tech students in ECE, CSE, or EEE writing a thesis on Edge AI, Smart India Hackathon hardware track participants evaluating accelerators, and Ph.D. researchers performing reproducible benchmarks. Also suitable for advanced makers and IoT professionals in India who need data to choose the right inference hardware for a product.

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.