Raspberry Pi 5 (16GB) + Hailo-8 26 TOPS AI Hat+ Kit
16GB Raspberry Pi 5 bundled with the PCIe Gen 3 Hailo-8 (26 TOPS) neural accelerator HAT, delivering 60fps multi-stream YOLOv11 and Pose estimation at just 9W total system draw.
Key Engineering Highlights
- Hailo-8 dataflow architecture achieves 26 TOPS while drawing under 2.5 Watts without a heatsink fan
- Native integration into Raspberry Pi OS `rpicam-apps` runs object detection in 1 CLI command
Full Hardware Specifications
| Processor / Edge SoC | Broadcom BCM2712 + Hailo-8 Dataflow NPU |
|---|---|
| AI Model Stack | Real-Time Vision (YOLOv11 / CLIP / Whisper) |
| Display & Optics | Dual 4K60 Micro-HDMI + MIPI DSI |
| Camera & Vision | Dual 4-Lane MIPI CSI-2 Camera Ports |
| Measured Weight | 110g |
| Battery & Runtime | 27W USB-C PD (9W Typical Vision Load) |
| Connectivity & I/O | PCIe Gen 3 x1 + Gigabit Ethernet + Wi-Fi 5 |
| Sensors & Acoustics | 40-Pin GPIO + Native rpicam-apps NPU Integration |
⚖️ Side-by-Side Comparison: Raspberry Pi 5 (16GB) + Hailo-8 26 TOPS AI Hat+ Kit vs. Edge Compute & DevKits Peers
Direct specification comparison against leading competing devices in the Edge Compute & DevKits category.
| Specification | Raspberry Pi 5 (16GB) + Hailo-8 26 TOPS AI Hat+ Kit (Current) | NVIDIA Jetson Orin NX Super Edge AI DevKit → | Xiaozhi AI Voice Cube Pro (ESP32-S3 Open DevKit) → | Apple Mac mini (M5 Pro 64GB) Private AI Node → |
|---|---|---|---|---|
| Brand | Raspberry Pi / Hailo | NVIDIA | Open Hardware Community | Apple |
| Retail Price | $195 | $499 | $12 | $1,799 |
| Lab Rating | ||||
| Edge SoC | Broadcom BCM2712 + Hailo-8 Dataflow NPU | NVIDIA Ampere GPU (1024 CUDA + 32 Tensor Cores) | Espressif ESP32-S3R8 (Dual-Core LX7 @ 240MHz + 8MB PSRAM) | Apple M5 Pro (14c CPU + 20c GPU + 16c Neural Engine) |
| AI Model Stack | Real-Time Vision (YOLOv11 / CLIP / Whisper) | Runs Llama-3.2 8B / Qwen2.5-VL 7B / YOLO11 Locally | Edge ESP-SR Wake + Realtime Cloud Voice LLMs | MLX Accelerated Qwen3-32B / Llama-3.3-70B |
| Display / Optics | Dual 4K60 Micro-HDMI + MIPI DSI | HDMI 2.1 / DP 1.4 (Up to 8K) | 1.28-inch Circular IPS LCD (240×240) / 0.96" OLED | Supports up to three 6K displays |
| Camera | Dual 4-Lane MIPI CSI-2 Camera Ports | Dual MIPI CSI-2 Camera Lanes + 4× USB 3.2 | Optional OV2640 / GC2145 Camera Module | External USB-C / Studio Display Camera |
| Weight | 110g | 450g (including active heatsink & carrier board) | 62g (with 3D-printed enclosure & speaker cavity) | 730g |
| Battery | 27W USB-C PD (9W Typical Vision Load) | 19V DC Input (15W–40W configurable TDP) | 800mAh LiPo (5h continuous dialogue) | Internal 155W PSU (4W idle draw) |
📚 Related Engineering Teardowns & Reviews
Browse All 83 Articles →Raspberry Pi 5 (16GB) + Hailo-8 (26 TOPS) AI HAT+ Review: 60FPS Vision & Whisper at 9 Watts
We benchmarked the 16GB Raspberry Pi 5 paired with the 26 TOPS Hailo-8 PCIe Gen 3 AI HAT+ across YOLOv11m, SCRFD face recognition, and CLIP semantic video search.
Radxa Fogwise AirBox Q900 ($289) Review: A 0dBA Fanless 48-TOPS Home AI & Frigate NVR Micro-Server
RECIWO Labs stress-tested the $289 Radxa Fogwise AirBox Q900 under 24/7 simultaneous 8-camera Frigate NVR object detection and Qwen3-7B local LLM inference.
Meta Ray-Ban Display & sEMG Neural Band Teardown: Inside the 5,000-Nit Waveguide and Wrist Neuromotor Interface
RECIWO Labs disassembled the $799 Meta Ray-Ban Display and IPX7 sEMG Neural Band, benchmarking its 5,000-nit 42-PPD geometric waveguide, 69g thermal profile, and 14ms wrist neuromotor gesture latency against Xiaomi AI Glasses and Even Realities G2 Air.
Framework Desktop (Ryzen AI Max+ 395 128GB) Local LLM Benchmark: AMD Strix Halo vs NVIDIA DGX Spark GB10 vs Mac mini M5 Pro
RECIWO Labs benchmarked the $1,999 4.5L Framework Desktop powered by AMD's 16-core Ryzen AI Max+ 395 ('Strix Halo') and 128GB unified LPDDR5X-8000 memory, comparing ROCm 6.4 token generation and prompt prefill speeds against the $2,999 NVIDIA DGX Spark (GB10) and $1,799 Apple Mac mini M5 Pro.