Radxa ROCK 5B+ (RK3588 8-Core ARM + 6-TOPS NPU + 24GB/32GB LPDDR5 & Dual M.2 NVMe SBC)
100×75mm Pico-ITX single-board computer upgrading the Rockchip RK3588 platform with high-bandwidth 64-bit LPDDR5 memory (up to 24GB/32GB), a 6-TOPS triple-core NPU, dual M.2 M-Key PCIe 3.0 x2 NVMe/AI accelerator slots, onboard Wi-Fi 6 / BT 5.2, an M.2 B-Key 4G/5G cellular slot, and a native 4K60 HDMI-In capture port.
Editorial Rating Methodology (★ 4.8 / 5.0): This score is an internal editorial evaluation compiled by the RECIWO Labs editorial team—not a user poll or crowd-voted rating. It assesses published silicon compute efficiency (25%), optical/sensor/actuator engineering (25%), battery & thermal envelope (20%), SDK/software openness (15%), and price-to-specification value (15%) based on official manufacturer datasheets and public technical documentation. Learn more about our evaluation rubric →
Key Engineering Highlights
- Upgrades the flagship RK3588 SBC architecture from LPDDR4x to 64-bit 5500 MT/s LPDDR5 memory (up to 24GB/32GB)—accelerating RKNN-LLM local language model decoding on the 6-TOPS triple-core NPU
- Splits the PCIe 3.0 x4 root complex into two full-size M.2 2280 M-Key slots (PCIe 3.0 x2 each), allowing developers to pair an NVMe boot SSD with an M.2 AI NPU card (Hailo-8, Axelera Metis, or DEEPX DX-M1) while keeping onboard Wi-Fi 6 and an M.2 B-Key 5G cellular modem
- Includes a rare native 4K60 HDMI-In hardware capture port alongside dual 8K60 HDMI 2.1 outputs—ideal for AI KVM-over-IP appliances, live broadcast vision overlays, and autonomous drone ground stations
Full Hardware Specifications
| Processor / Edge SoC | Rockchip RK3588 (8nm Octa-Core: 4× Cortex-A76 @ 2.4GHz + 4× Cortex-A55 @ 1.8GHz + Mali-G610 MP4 GPU + 8K VPU) |
|---|---|
| AI Model Stack | 6.0 TOPS Integrated 3-Core NPU (INT4/INT8/INT16/FP16/BF16/TF32 via RKNN-LLM) + Expandable Dual M.2 Hailo-8/DX-M1 NPUs |
| Display & Optics | 2× Standard HDMI 2.1 Outputs (Up to 8K @ 60Hz) + 1× USB-C DisplayPort Alt-Mode + 1× MIPI DSI (4 Simultaneous Displays) |
| Camera & Vision | 1× Standard Micro-HDMI Input Port (Up to 4K @ 60fps Hardware Capture) + 1× 4-Lane MIPI CSI Camera Connector |
| Measured Weight | 72.0g (100 × 75mm Pico-ITX Form Factor w/ PWM Fan Header, RTC Battery Connector & Industrial Mounting Holes) |
| Battery & Runtime | USB Type-C PD 2.0/3.0 (9V–20V) or 5V–20V GPIO Smart Power Input (~4W Idle / ~12W Full NPU + CPU Load) |
| Connectivity & I/O | 2.5GbE RJ45 (w/ PoE Support) + Onboard Wi-Fi 6 / BT 5.2 + M.2 B-Key (4G/5G WWAN + Nano SIM) + 40-Pin GPIO |
| Sensors & Acoustics | 4GB / 8GB / 16GB / 24GB / 32GB 64-Bit LPDDR5 RAM + 2× M.2 M-Key (PCIe 3.0 x2 Each) + eMMC 5.1 Socket + MicroSD |
⚖️ Side-by-Side Comparison: Radxa ROCK 5B+ (RK3588 8-Core ARM + 6-TOPS NPU + 24GB/32GB LPDDR5 & Dual M.2 NVMe SBC) vs. Edge Compute & DevKits Peers
Direct specification comparison against leading competing devices in the Edge Compute & DevKits category.
| Specification | Radxa ROCK 5B+ (RK3588 8-Core ARM + 6-TOPS NPU + 24GB/32GB LPDDR5 & Dual M.2 NVMe SBC) (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 | Radxa | NVIDIA | Open Hardware Community | Apple |
| Retail Price | $149 | $499 | $12 | $1,799 |
| Editorial Rating | ||||
| Edge SoC | Rockchip RK3588 (8nm Octa-Core: 4× Cortex-A76 @ 2.4GHz + 4× Cortex-A55 @ 1.8GHz + Mali-G610 MP4 GPU + 8K VPU) | 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 | 6.0 TOPS Integrated 3-Core NPU (INT4/INT8/INT16/FP16/BF16/TF32 via RKNN-LLM) + Expandable Dual M.2 Hailo-8/DX-M1 NPUs | 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 | 2× Standard HDMI 2.1 Outputs (Up to 8K @ 60Hz) + 1× USB-C DisplayPort Alt-Mode + 1× MIPI DSI (4 Simultaneous Displays) | 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 | 1× Standard Micro-HDMI Input Port (Up to 4K @ 60fps Hardware Capture) + 1× 4-Lane MIPI CSI Camera Connector | Dual MIPI CSI-2 Camera Lanes + 4× USB 3.2 | Optional OV2640 / GC2145 Camera Module | External USB-C / Studio Display Camera |
| Weight | 72.0g (100 × 75mm Pico-ITX Form Factor w/ PWM Fan Header, RTC Battery Connector & Industrial Mounting Holes) | 450g (including active heatsink & carrier board) | 62g (with 3D-printed enclosure & speaker cavity) | 730g |
| Battery | USB Type-C PD 2.0/3.0 (9V–20V) or 5V–20V GPIO Smart Power Input (~4W Idle / ~12W Full NPU + CPU 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 158 Articles →Orange Pi 5 Ultra ($119 89×56mm RK3588 LPDDR5, 4K60 HDMI-In & Wi-Fi 6E) vs M5Stack LLM630 ($99 23.6g AX630C 12.8-TOPS INT4 Offline LLM Kit) vs Radxa ROCK 5B+ Comparison: Compact SBC vs 3W NPU
A technical memory-bandwidth, video-capture, and sub-3W Transformer-NPU comparison of the Orange Pi 5 Ultra ($119, 60.5g 89×56mm RK3588 SBC packing a 6-TOPS NPU, 16GB LPDDR5, PCIe 3.0 x4 NVMe, 4K60 HDMI-In + 8K60 HDMI-Out, Wi-Fi 6E, and 2.5GbE), M5Stack LLM630 Compute Kit ($99.90, 23.6g AXERA AX630C devkit delivering 3.2 INT8 / 12.8 INT4 TOPS with 4GB LPDDR4, 32GB eMMC, ESP32-C6 Wi-Fi 6, and StackFlow offline Qwen2.5/Whisper/YOLO11), and Radxa ROCK 5B+ ($149).
Seeed reComputer J4012 ($1,199 Jetson Orin NX 16GB 100-TOPS Box) vs Radxa ROCK 5B+ ($149 RK3588 24GB/32GB LPDDR5 & Dual M.2 SBC) vs LattePanda Mu Ultra Comparison: CUDA vs Dual-M.2 ARM
A technical TensorRT-CUDA, memory-bus, and PCIe-expansion comparison of the Seeed Studio reComputer J4012 ($1,199, 700g industrial aluminum edge AI box powered by NVIDIA Jetson Orin NX 16GB delivering 100 INT8 TOPS with 1,024 Ampere CUDA cores, 32 Tensor Cores, 16GB LPDDR5 at 102.4 GB/s, pre-flashed 128GB NVMe SSD, and CAN bus), Radxa ROCK 5B+ ($149, 100×75mm RK3588 SBC upgraded with up to 24GB/32GB LPDDR5, 6-TOPS NPU, dual M.2 PCIe 3.0 x2 slots, Wi-Fi 6, and 4K60 HDMI-In), and LattePanda Mu Ultra ($499).
Unitree B2 ($75k 60kg 360N·m, >40kg-Load, IP67 & 2,250Wh Industrial Quadruped) vs Hello Robot Stretch 3 ($24.95k 24.5kg Prismatic-Mast Dual-RealSense Open VLA Manipulator) vs Lynx M20 Comparison: Heavy Patrol vs Home VLA
A technical 360 N·m joint actuator, prismatic Cartesian mast vs serial arm kinematics, and IP67 field endurance comparison of the Unitree B2 ($75,000 tier, 60kg IP67 industrial quadruped delivering 360 N·m peak joint torque, >6.0 m/s speed, >=120kg standing / >40kg continuous walking load, and >5h / >20km range on a 2,250Wh battery), Hello Robot Stretch 3 ($24,950, 24.5kg 33×34cm mobile manipulator with 1.1m lift mast, 52cm telescoping arm, Dex Wrist 3, head D435i + wrist D405 RGB-D, Intel NUC12, and 100% open-source ROS 2 / LeRobot VLA stack), and DEEP Robotics Lynx M20 ($18,900).
Qualcomm RB3 Gen 2 Vision Kit ($399 QCS6490 12-TOPS Hexagon NPU & IMX577/OV9282 Dual-Cam) vs Khadas Edge2 Pro ($239 25g 5.7mm RK3588S2 6-TOPS 16GB SBC) vs RUBIK Pi 3 Comparison: Calibrated VIO vs Ultra-Thin SBC
A technical 6nm Hexagon 770 Tensor NPU vs 8nm RK3588S2 NPU, factory-calibrated VIO/SLAM camera mezzanine vs 5.7mm FPC density, and Linux toolchain comparison of the Qualcomm Dragonwing RB3 Gen 2 Vision Development Kit ($399, ~200g QCS6490 8-core Kryo 670 + 12-TOPS NPU + Triple ISP kit bundling a 12MP IMX577 + global-shutter OV9282 Vision Mezzanine, Wi-Fi 6E, and Qualcomm Linux / ROS 2 / AI Hub), Khadas Edge2 Pro ($239, 25g 82×57.5×5.7mm credit-card SBC with RK3588S2 6-TOPS NPU, 16GB LPDDR4X, 64GB eMMC, 3× CSI, 4× displays, and OOWOW), and Thundercomm RUBIK Pi 3 ($119).
