Silicon Labs EFM8SB20F64G-A-QFN32, 8bit CIP-51 Microcontroller, EFM8SB, 25MHz, 64 kB Flash, 32-Pin QFN

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We don’t know if this item will be back in stock, it is being discontinued by the manufacturer.
Packaging Options:
RS Stock No.:
865-6320
Mfr. Part No.:
EFM8SB20F64G-A-QFN32
Brand:
Silicon Labs
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Brand

Silicon Labs

Family Name

EFM8SB

Package Type

QFN

Mounting Type

Surface Mount

Pin Count

32

Device Core

CIP-51

Data Bus Width

8bit

Program Memory Size

64 kB

Maximum Frequency

25MHz

RAM Size

4.352 kB

USB Channels

0

Number of SPI Channels

2

Number of CAN Channels

0

Typical Operating Supply Voltage

2.4 V

Number of I2C Channels

1

Number of USART Channels

0

Number of UART Channels

1

Maximum Operating Temperature

+85 °C

Length

5mm

Minimum Operating Temperature

-40 °C

Maximum Number of Ethernet Channels

0

Number of PCI Channels

0

Dimensions

5 x 5 x 0.95mm

Width

5mm

Number of ADC Units

1

Number of LIN Channels

0

Height

0.95mm

ADCs

1 (23 x 10 bit)

Number of Ethernet Channels

0

Pulse Width Modulation

1

Instruction Set Architecture

MCU

Program Memory Type

Flash

EFM8SB Sleepy Bee Microcontrollers, Silicon Labs


The Sleepy Bee Microcontroller (MCU) family are deigned for low power and battery powered systems. Operating at up to 25 MHz with short wakeup times and low power consumption in both active and sleep modes.

8051 MCU core
Integrated temperature sensor
Integrated LDO maintains low active current at all voltages
Up to 14 capacitive sense channels
UART and I2C
4 16-bit timers


The EFM8 8-bit microcontroller family has an unparalleled combination of features and capabilities including a high-speed pipelined 8051 core, ultra-low power, precision analogue and enhanced communication peripherals, integrated oscillators, small-footprint packages, and a crossbar architecture that enables flexible digital and analogue multiplexing to simplify PCB design and I/O signal routing. These next-generation 8-bit devices are aimed at the engineer developing products for the Internet-of-Things (IoT) which will be very small, perform complex processing and run off tiny batteries.