Manufacturer Part Number
EFM8SB10F4G-A-QFN20R
Manufacturer
Silicon Labs
Introduction
The EFM8SB10F4G-A-QFN20R is a high-performance, low-power 8-bit microcontroller from Silicon Labs. It features a CIP-51 8051 core, operating at a speed of 25MHz, and offers a range of peripherals and interfaces to support a variety of embedded applications.
Product Features and Performance
8-bit CIP-51 8051 core
25MHz operating speed
4KB of FLASH program memory
512 bytes of RAM
9x12-bit ADC
I2C, SMBus, SPI, and UART/USART interfaces
Brown-out detection and reset, Power-On Reset (POR)
PWM and Watchdog Timer (WDT) peripherals
16 I/O pins
Product Advantages
Efficient 8-bit architecture for cost-effective embedded solutions
Integrated peripherals for versatile connectivity and control
Low-power operation for battery-powered applications
Robust brown-out detection and reset for reliable operation
Key Reasons to Choose This Product
Proven 8051 architecture with advanced power management features
Comprehensive set of peripherals for diverse embedded applications
Excellent value-for-money proposition for cost-sensitive designs
Supported by Silicon Labs' extensive ecosystem of development tools and resources
Quality and Safety Features
Industrial-grade operating temperature range of -40°C to 85°C
Robust power supply range of 1.8V to 3.6V
Comprehensive protection features, including brown-out detection and reset
Compatibility
The EFM8SB10F4G-A-QFN20R is compatible with other EFM8 Sleepy Bee series microcontrollers, allowing for easy migration and scalability of designs.
Application Areas
Embedded systems and IoT devices
Home automation and control
Industrial automation and control
Wearable electronics
Battery-powered applications
Product Lifecycle
The EFM8SB10F4G-A-QFN20R is an active product in our website's sales team's portfolio. There are currently no announced plans for discontinuation. Customers are advised to check with our website's sales team for the latest information on product availability and potential alternative or equivalent models.