Orange Pi 5 pcb development board

♦Model Number：Orange Pi 5 Max

♦Demo Board Type：ARM

♦Brand Name：Caturda

♦Origin：Mainland China

♦Master Chip：Rockchip

♦RK3588 (8nm LP process)

♦USB：2xUSB3.0, 2xUSB2.0

♦6pin Expansion Pin: for expanding UART, PWM, I2C, SPI, CAN and GPIO interfaces

♦Debug Serial Port: 3pin Debug Serial Port

♦LED Lights: Power Indicator and Status Indicator

♦Buttons: 1 * MaskROM Key, 1 * RECOVERY, 1 * On/Off Button

♦Power Supply: 5V/4A for Type-C interface;

♦Size: 100mm*62mm
♦weight: 46g

Product Description

Orange Pi 5 development board is a high-performance, feature-rich single-board computer designed for developers, creators and enthusiasts, and is suitable for a variety of application scenarios such as Artificial Intelligence, Edge Computing, Multimedia Processing, and Internet of Things.

Orange Pi 5 is powered by the new generation of eight-core 64-bit ARM processors from Rexchip Microelectronics, specifically the quad-core A76 and quad-core A55, using Samsung’s 8nm LP process, with a large-core frequency of up to 2.4GHz, an integrated ARM Mali-G610 MP4 GPU, embedded high-performance 3D and 2D image acceleration modules, and an AI accelerator, NI, that is built-in with a power of up to 6 Tops. AI gas pedal NPU with up to 6 Tops, 4GB/8GB/16GB/32GB (LPDDR4/4x) RAM, and up to 8K display processing.

The Orange Pi 5 draws quite a rich set of interfaces, including HDMI output, Type-C, M.2PCIe2.0x1, Gigabit LAN port, USB2.0, USB3.0 ports, and 26pin expansion pins. Orange Pi 5 can be widely used in high-end tablet, edge computing, artificial intelligence, cloud computing, AR/VR, smart security, smart home and other fields, covering various AIoT industries.

Orange Pi 5 supports Orange Pi OS, the official operating system developed by Orange Pi, as well as Android 12.1, Debian11, Debian12, Ubuntu20.04 and Ubuntu22.04.

Product Parameters

CPU
– Rockchip RK3588S (8nm LP process)
– 8-core 64-bit processor
– 4-core Cortex-A76 and 4-core Cortex-A55 sized core architectures
– Large cores up to 2.4GHz, small cores up to 1.8GHz. Smaller cores up to 1.8GHz

GPU
– Integrated ARM Mali-G610
– OpenGL ES1.1/2.0/3.2, OpenCL 2.2 and Vulkan 1.2

NPU
– Built-in AI Accelerator NPU with up to 6 Tops of computational power. – Supports INT4/INT8/INT16 hybrid computing

Video Outputs
– HDMI 2.1 up to 8K @60Hz
– DP1.4 (DisplayPort)
– 2 * MIPI D-PHY TX 4Lane

Memory
4GB/8GB/16GB/32GB (LPDDR4/4x)

Camera
– 1 * MIPI CSI 4Lane
– 2 * MIPI D-PHY RX 4Lane

PMU: RK806-1

On-board Storage
– 16MB QSPI Nor FLASH
– MicroSD (TF) Card slot
– PCIe2.0x1 M.2 M-KEY (SSD) slot

Ethernet
10/100/1000Mbps Ethernet (YT8531C )

Audio
– 3.5mm headphone jack audio in/out
– Onboard MIC input
– HDMI output

PCIe M.2 M-KEY
– PCIe WIFI6+BT5.0+BLE support
– SSD support

Supported OS
Orange Pi OS (Droid), Orange Pi OS (Arch), Android 12.1,
Debian11, Debian12, Ubuntu20.04 and Ubuntu22.04, etc.
Systems

Orange Pi 5 Application Scenarios

1.Artificial Intelligence and Machine Learning: Utilizing the powerful computing power of the NPU to realize applications such as image recognition, voice processing, and natural language understanding.
2. Edge computing: As an edge device, it can process local data and reduce the pressure of cloud computing.
3. Multimedia applications: applicable to 8K video playback, live streaming, digital signage and other scenarios.
4. Internet of Things and Smart Home: Connect sensors through GPIO interface to realize smart home control, environment monitoring and other functions.
5. Development and education: as a development board, it supports programming learning, hardware development, prototyping, etc.

Advantage Summary

1. High performance: octa-core processor, 6 TOPS NPU, 8K video codec capability.
2. High scalability: rich interfaces and expansion options to meet diverse needs.
3. Cost-effective: Compared with similar products, the price is more competitive.
4. Open source support: provide open source driver and documentation, easy for developers to develop twice.

Recommendations

1. Entry-level users: choose the 4GB/8GB RAM version with Orange Pi OS or Ubuntu, suitable for learning and basic applications. 2.
2. AI developers: recommend the 16GB/32GB RAM version to utilize NPU computing power for model training and inference.
3. Multimedia enthusiasts: Focus on 8K video codec capabilities and display interface configurations.
4. IoT developers: utilize the GPIO interface and expansion options to connect various sensors and peripherals.