Silicon Labs EFM8BB10F2G-A-QFN20, 8 bit CIP-51, EFM8BB1 Microcontroller, 25 MHz, 2kB FLASH, 20-Pin QFN

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Subtotal (1 tube of 120 units)*

SGD74.76

(exc. GST)

SGD81.48

(inc. GST)

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120 +SGD0.623SGD74.76

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RS Stock No.:
169-0180
Mfr. Part No.:
EFM8BB10F2G-A-QFN20
Manufacturer:
Silicon Labs
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Brand

Silicon Labs

Product Type

Microcontroller

Series

EFM8BB1

Package Type

QFN

Mount Type

Surface

Pin Count

20

Device Core

CIP-51

Data Bus Width

8bit

Program Memory Size

2kB

Maximum Clock Frequency

25MHz

RAM Size

256bit

Maximum Supply Voltage

3.6V

Number of Programmable I/Os

16

Maximum Power Dissipation Pd

800mW

Analogue Comparators

2

Minimum Operating Temperature

-40°C

Maximum Expanded Memory Size

256bit

Maximum Operating Temperature

85°C

Height

0.55mm

Width

3 mm

Length

3mm

Standards/Approvals

No

Minimum Supply Voltage

2.2V

Number of Timers

4

Program Memory Type

FLASH

ADCs

15 x 12 Bit

Instruction Set Architecture

MCU

Automotive Standard

AEC-Q100

COO (Country of Origin):
TH

EFM8BB Busy Bee Microcontrollers, Silicon Labs


The EFM8 Busy Bee 8-bit Microcontroller (MCU) devices are designed for use in a wide variety of general purpose applications. They operate at up 50MHz with a pipelined 8-bit C8051 core.

Up to 22 multifunction, +5V tolerant I/O pins

Priority crossbar for flexible pin mapping

12-bit Analogue to Digital converter (ADC) with up to 20 channels

Up to five 16-bit timers

Integrated temperature sensor

UART, SPI and SMBus/I²C serial communication

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.

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