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M68

Dimensions:50mm*56mm

Quad-core 64-bit Cortex-A55, up to 2.0GHz

Mali-G52 GPU

8M ISP with HDR

Dual dislplay, LVDS/MIPI-DSI/RGB/eDp/RGB/HDMI2.0/T-CON

It can be applied to products with special requirements for ultra-low power consumption.

Feature

  • RK3568 quad-core 64-bit processor

    Quad-core 64-bit Cortex-A55 processor, 22nm lithography process, main frequency up to 2.0GHz, providing efficient and stable performance for data processing of back-end devices. There are a variety of storage options, allowing customers to quickly implement research and production of products.

  • Integrated coprocessors - GPU, VPU, NPU

    Integrated dual-core GPU, high-performance VPU and high-efficiency NPU. GPU support OpenGL ES3.2/2.0/1.1, Vulkan1.1. VPU can achieve 4K 60fps H.265/H.264/VP9 video decoding and 1080P 60fps H.265/H.264 video encoding. NPU supports one-click switching of mainstream frameworks such as Caffe/TensorFlow.

  • Powerful wireless network communication

    Support WiFi 6 (802.11ax) wireless network communication, with high-speed transmission, Lower packet loss rate and retransmission rate, more effectively reduce data congestion, and allow more devices to connect to the network. 5G/4G modules can also be connected, Enabling products with higher speed, higher capacity and lower latency communications.

  • Dual high-efficiency Gigabit Ethernet ports

    Equipped with dual adaptive RJ45 Gigabit Ethernet ports via internal and external, Network data can be accessed and transmitted, improving network transmission efficiency, meet the needs of multi-network port products such as NVRs and industrial gateways.

Specifications

Basic
Chip

CPU

Quad-core 64-bit ARM Cortex-A55 processor, 22nm advanced technology, main frequency up to 2.0GHz

GPU

Support ARM G52 2EE

Support OpenGL ES 1.1/2.0/3.2, OpenCL 2.0, Vulkan 1.1

Embedded high performance dedicated 2D processor

NPU

0.8Tops@INT8 performance, integrated high-performance AI accelerator RKNN NPU

Support Caffe/TensorFlow/TFLite/ONNX/PyTorch/Keras/Darknet/MXNet mainstream architecture model one-click conversion

VPU

Support 4k 60fps (H.265/ H.264/ VP9) video decoding

Support 1080P 100fps H.265/H.264 video encoding

Support 8M ISP

Support HDR

RAM

2GB/4GB/8GB DDR4 32Bit wide, frequency up to 1600MHz, support full link ECC

Storage

16GB/32GB/64GB/128GB eMMC (Optional)

Hardware Features
Ethernet

Support dual Gigabit Ethernet (1000Mbps)

Wireless network

Support M.2 extended 5G

Support Mini PCIe to expand 4G LTE

Support WiFi6 (802.11 ax)

Support BT5.0

Display

Support multi-screen different display, up to three-screen different display output

1 × HDMI2.0, support 4K@60fps

1 × LVDS/MIPI-DSI

1 × MIPI-DSI

1 × EDP1.3, support 2560×1600@60fps output

Audio

1 × HDMI audio output

1 × headphone output

1 × Onboard Microphone Audio Input

USB

1 × USB 3.0 OTG

1 × USB 3.0 Host

2 × USB 2.0 Host

Camera

1 × MIPI CSI camera input

Extended interface

Multiple UART, I2C, I2S, SDMMC, GPIO

Operating system
OS

Android 、Linux

Appearance Specifications
Size diagram

Dimensions

56mm*50mm

Pitch

0.5mm

Number of pins

240 PIN(2*60*2)

Power Supply

3.3V/1.5A

Operating Temperature

0°C-70°C

Storage temperature

0°C-70°C

Storage Humidity

10%-80%

PCB specifications

8-layer board design

Application

Application areas

Smart NVRs

Cloud terminals

Vechicle center consoles

Industrial control

Edge computing

Face recognition gates

Data sheet

Service Desk

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