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STM32G473RET6TR
Manufacturer Part Number: STM32G473RET6TR | Manufacturer / Brand: ST |
Part of Description: ARM Microcontrollers - MCU Mainstream Arm Cortex-M4 MCU 170MHz 512Kbytes Flash Math Accelerator High Analog | Lead Free Status / RoHS Status: Digital Signal Processors & Controllers - DSP, DSC 16 BIT HYBRID CNTRLR |
Ship From: HK/Shen Zhen | Shipment Way: DHL/Fedex/TNT/UPS |
Datasheets: |
Product parameters
Manufacturer | ST |
Details | RoHS |
Mounting Style | SMD/SMT |
Packaging | Reel |
Moisture Sensitive | Yes |
Product Type | ARM Microcontrollers – MCU |
Factory Pack Quantity | 1000 |
Subcategory | Microcontrollers – MCU |
Tradename | STM32 |
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The STM32G473RET6TR is a high-performance microcontroller from STMicroelectronics, part of the STM32G4 series, which is designed for applications requiring advanced features and efficient processing capabilities. It is built on a 32-bit Arm Cortex-M4 core operating at up to 170 MHz, providing high computational power for demanding tasks.
Key features of the STM32G473RET6TR include:
- Flash Memory: 512 KB of Flash memory for storing firmware and applications.
- SRAM: 128 KB of SRAM for efficient data storage and processing.
- I/O Ports: A versatile set of I/O ports that can be configured for various digital and analog functions, allowing for extensive connectivity options.
- Peripherals: A rich selection of integrated peripherals, including multiple timers, ADCs (Analog-to-Digital Converters), DACs (Digital-to-Analog Converters), and communication interfaces such as UART, SPI, and I2C.
- ADC Performance: A 12-bit ADC with up to 5 MSPS, providing precise data acquisition for sensor applications.
- Low Power Modes: Various low-power modes to optimize energy consumption, making it suitable for battery-operated devices.
- Package Type: Available in a LQFP (Low-Profile Quad Flat Package) format, which facilitates compact designs.
The STM32G473RET6TR is ideal for a wide range of applications, including industrial control, consumer electronics, medical devices, and IoT (Internet of Things) applications, where performance and efficiency are critical.