Specifications
CPU
Model: Rockchip RK3399 Number of Cores: big.LITTLE, 64-bit Dual Core Cortex-A72 + Quad Core Cortex-A53 Frequency: Cortex-A72(up to 2.0GHz), Cortex-A53(up to 1.5GHz)
GPU
Mali-T864 GPU，supports OpenGL® ES1.1/2.0/3.0/3.1, OpenCL™, DX11, and AFBC
VPU
4K VP9 and 4K 10bits H265/H264 60fps decoding, Dual VOP, etc
Memory
1GB DDR3-1866
Storage
eMMC: no Onboard eMMC, but has a eMMC socket MicroSD Slot: MicroSD*1 for external storage up to 128GB
Connectivity
Ethernet: Native Gbps Ethernet WiFi: 802.11 b/g/n, Bluetooth 4.0 combo module Antenna x1: IPX Connector
Audio
Audio Output: HDMI
Video-Input
one 4-Lane MIPI-CSI, up to 13MPix/s
Video Output
HDMI*1: HDMI 2.0a, supports 4K@60Hz，HDCP 1.4/2.2
USB
USB 3.0 x1: USB 3.0 Type-A ports USB Type-C x1: Supports USB2.0 OTG and Power input USB 2.0 x2: USB 2.0 Host, one is Type-A, the other is 2.54mm header
Pin-header
GPIO1: 40pin ,Female connector (M50-4302045) 2 X 3V I2C, 1x 3V UART/SPI, 1 x SPDIF_TX, up to 8 x 3V GPIOs PCIe x2 PWM x1, PowerKey GPIO2: 1 x 1.8V 8ch-I2S GPIO3: debug uart, 3V level, 1500000bps USB 2.0 x1
LED
Power LED(Red) x1 GPIO Controlled LED(Green) x1
Others
RTC Battery: 2 Pin 2.54mm pitch through-hole pad Working Temperature: -20℃ to 70℃
Power
DC 5V/3A
Overview
The FriendlyElec NanoPi NEO4 is a Rockchip RK3399-based edge ai sbc from FriendlyElec's NanoPC / NanoPi Series. Every specification in the table above is transcribed from the manufacturer's own technical data for this exact model.
It ships with FriendlyElec's FriendlyCore (Ubuntu) and FriendlyWrt (OpenWrt) images plus Android options, so the board is usable as an industrial controller, an edge-AI node or a network appliance without a bring-up cycle. Onboard eMMC, an M.2 expansion socket and a 2.54 mm GPIO header make it straightforward to integrate into a product enclosure.
Key Benefits
Rockchip SoC platform with a proven Linux BSP. Onboard eMMC + microSD for a robust, card-less root filesystem. M.2 and GPIO expansion for NVMe, Wi-Fi or cellular add-ons. FriendlyCore / FriendlyWrt / Android images maintained by the vendor. Industrial operating range for embedded and edge deployments.
Applications
Edge AI inference nodes, embedded industrial controllers, machine-vision front ends, digital-signage and kiosk compute, NAS and media servers, robotics controllers, and general ARM/Linux product prototyping.
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