Hardware
| Core | Frequency (MHz) | Max Flash/RAM (kB) | Max GPIO | Max LCD Segments | USB | DAC | ADC Resolution | Max ADC Channels | Max Temperature | Vdd Min (V) | Vdd Max (V) | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
FEATURED
EFM32PG23 Series 2
EFM32PG23 Series 2
|
— | — | — | — | — | — | — | — | — | — | — | — |
|
EFM32PG22 Series 2
EFM32PG22 Series 2 MCUs
|
ARM Cortex-M33 | 76 | 512/32 | 26 | — | 16 | 16 | 125 | 1.71 | 3.8 | ||
|
Giant Gecko S1
EFM32GG S1 GG11 and GG12 32-bit Microcontrollers
|
ARM Cortex-M4 | 72 | 1024/192, 2048/512 | 144, 95 | 8 x 36 | 12 | 16 | 125 | 1.8 | 3.8 | ||
|
Giant Gecko
EFM32 Giant Gecko 32-bit Microcontrollers
|
ARM Cortex-M3 | 48 | 1024/128 | 93 | 8 x 36 | 12 | 8 | 85 | 1.98 | 3.8 | ||
|
Wonder Gecko
EFM32 Wonder Gecko 32-bit Microcontrollers
|
ARM Cortex-M4 | 48 | 256/32 | 93 | 8 x 36 | 12 | 8 | 85 | 1.98 | 3.8 | ||
|
Leopard Gecko
EFM32 Leopard Gecko 32-bit Microcontrollers
|
ARM Cortex-M3 | 48 | 256/32 | 93 | 8 x 36 | 12 | 8 | 85 | 1.98 | 3.8 | ||
|
Pearl Gecko
EFM32 Pearl Gecko 32-bit Microcontrollers
|
ARM Cortex-M4 | 40 | 1024/256, 256/32 | 32, 65 | — | 12 | 32, 54 | 125, 85 | 1.8, 1.85 | 3.8 | ||
|
Jade Gecko
EFM32 Jade Gecko 32-bit Microcontrollers
|
ARM Cortex-M3 | 40 | 1024/256, 256/32 | 32, 65 | — | 12 | 16, 32 | 125, 85 | 1.8, 1.85 | 3.8 | ||
|
Tiny Gecko S1
EFM32 Tiny Gecko 32-bit S1 Microcontrollers
|
ARM Cortex-M0+ | 48 | 128/32 | 63 | 8 x 32 | 12 | 32 | 125 | 1.8 | 3.8 | ||
|
Gecko
EFM32 Gecko 32-bit Microcontrollers
|
ARM Cortex-M3 | 32 | 128/16 | 90 | 4 x 40 | 12 | 8 | 85 | 1.98 | 3.8 | ||
|
Tiny Gecko
EFM32 Tiny Gecko 32-bit Microcontrollers
|
ARM Cortex-M3 | 32 | 32/4 | 56 | 8 x 20 | 12 | 8 | 85 | 1.98 | 3.8 | ||
|
Happy Gecko
EFM32 Happy Gecko USB-enabled 32-bit Microcontrollers
|
ARM Cortex-M0+ | 25 | 64/8 | 35 | — | 12 | 4 | 105 | 1.98 | 3.8 | ||
|
Zero Gecko
EFM32 Zero Gecko 32-bit Microcontrollers
|
ARM Cortex-M0+ | 24 | 32/4 | 37 | — | 12 | 4 | 85 | 1.98 | 3.8 | ||
|
SiM3C1xx
SiM3C1xx 32-bit Microcontrollers
|
ARM Cortex-M3 | 80 | 256/32 | 65 | — | 12 | 16 | 85 | 1.8 | 5.5 | ||
|
SiM3L1xx
SiM3L1xx Low Power MCUs
|
ARM Cortex-M3 | 50 | 256/32 | 62 | 4 x 40 | 12 | 24 | 85 | 1.8 | 3.8 | ||
|
SiM3U1xx
SiM3U1xx USB MCUs
|
ARM Cortex-M3 | 80 | 256/32 | 65 | — | 12 | 16 | 85 | 1.8 | 5.5 |
Kits and Boards
EFM32PG23 Pro Kit
EFM32PG23 Pro Kit
Software and Tools
32-bit Software Development
Simplicity Studio is the core development environment designed to support the Silicon Labs IoT portfolio of SoCs and modules. It provides access to target device-specific web and SDK resources in the Launcher; software and hardware configuration tools; an integrated development environment (IDE) featuring industry-standard code editors, compilers and debuggers; and advanced, value-add tools for network analysis and code-correlated energy profiling.
| Simplicity Studio | Simplicity Studio is designed to make the development process easier, faster, and more efficient by providing designers with everything they need to complete their projects from initial concept to final product. The Simplicity Studio platform provides unified development support for 32-bit MCUs, including sample apps. | |
| 32-bit Microcontroller SDK | This software package provides all of the drivers and services needed for a successful 32-bit MCU project. | |
| Precision32 32-bit Microcontroller Development Suite | Silicon Labs offers advanced software development tools, available at no charge to developers. These tools unlock the power and flexibility of the Precision32™ 32-bit microcontroller family. |
Learn about 32-bit MCU
What is a 32-bit MCU?
Silicon Labs' EFM32™ 32-bit microcontroller (MCU) family is the world's most energy friendly microcontroller and is especially suited for use in low-power and energy sensitive applications, including energy, water, and gas metering, building automation, alarm and security, and portable medical/fitness equipment. Since battery replacement is often not possible for reasons of access and cost, such applications need to operate for as long as possible without external power or operator intervention. Silicon Labs' energy-friendly EFM32 32-bit microcontrollers beat existing low-power MCU alternatives — here we'll highlight the top 5 factors that make this possible.
Low Power Architecture
Get more done with less energy. EFM32 MCUs feature the ARM Cortex® cores with floating-point unit and Flash memory and are architected for low power using only as little as 21 µA/MHz in active mode. The devices are designed to scale power consumption with capabilities in four energy modes, including a deep sleep mode as low as 1.03 µA, with 16 kB RAM retention and operating real-time clock, as well as a 400 nA hibernation mode with 128 bytes of RAM retention and cryotimer.
Functional Density
Reduce the cost of your system with highly integrated microprocessors boasting a rich selection of available high-performance and low-power peripherals, on-chip non-volatile memory, scalable memory footprints, crystal-less 500 ppm sleep timer, and integrated power-management functions.
Security
When you want your products to withstand the most challenging cyber-security attacks, you can trust Silicon Labs' technology to safeguard your customers' privacy.
When considering security in the context of IoT, there are multiple aspects a developer needs to consider.
Encryption is only as strong as the security offered by the physical device itself. The easiest device attack is a remote attack on software to inject malware which is why a hardware root of trust secure boot is critical. Many IoT devices are easily acquired in the supply chain and allow “Hands-On”, or “Local” attacks which allows attacking the debug port or using physical attacks like side-channel analysis to recover keys during communication encryption.
Silicon Labs offers a portfolio of device-level security options. To learn more click through to our security pages.
Best-in-class Tools
From embedded OS to connectivity software stacks to IDE’s and tools to optimize design. It’s all in one place.
Industry-leading RTOS with a free kernelIDE support for Keil, IAR and GCCTools to optimize designs with features that enable things like the profiling of energy usage and easy visualization of the internals of any embedded system.
Our MCU’s are backed by a family of hardware and software engineers and innovators dedicated to solving your toughest embedded design challenges with breakthrough energy-friendly solutions. Let us help you create the next generation of devices that push the limits of possibility.