Product Description：

The GD32F470ZKT6 is a member of GigaDevice's flagship GD32F4 series, based on the high-performance Arm® Cortex®-M4 core operating at 240MHz. This MCU is distinguished by its large on-chip memory, comprehensive set of advanced peripherals, and robust industrial-grade reliability. It delivers powerful processing capabilities for demanding embedded applications that require complex computations, rich connectivity, and graphical interfaces, making it a versatile platform for industrial automation, IoT, and high-end consumer electronics.

Key Features：

Feature Category Specific Parameters

Core and Performance Arm Cortex-M4 core, maximum operating frequency 240MHz.

Memory Configuration 3072KB (3MB) Flash and 256KB SRAM.

Package and I/O LQFP144 package, providing 114 I/O ports.

Communication Interfaces 2x CAN, 1x 10/100M Ethernet MAC, 4x USART, 4x UART, 6x SPI, 3x I2C, 1x SDIO, USB 2.0 OTG (supporting Full-Speed/High-Speed).

Graphics and Multimedia Integrated TFT-LCD controller and Digital Camera Interface (DCI).

Analog Peripherals 3x 12-bit ADC (24 channels total) and 2x 12-bit DAC channels.

Timers and Security Multiple timers (including Advanced PWM Timers), True Random Number Generator (TRNG), RTC, watchdog.

Industrial-Grade Reliability Wide operating voltage range 2.6V to 3.6V, industrial-grade operating temperature range -40°C to +85°C.

Typical Applications：

Based on its powerful performance, the GD32F470 series chips (including the ZKT6 model) are widely used in the following fields:

Industrial Automation and Control: Programmable Logic Controllers (PLC), industrial robots, high-performance servo drives, motor variable frequency control.

Internet of Things and Smart Devices: IoT gateways, AIoT development platforms, smart home central controllers.

Consumer Electronics and Multimedia: Devices requiring graphical interfaces (such as high-end HMI), audio equipment, game controllers.

Innovation and Edge Devices: Drone flight control, machine vision, security monitoring, and applications requiring edge AI processing.