Silicon Labs

EFM32TG108F32-QFN24 - Tiny Gecko Cortex-M3 MCU, 32KB Flash | Silicon Labs

N.º de pieza: EFM32TG108F32-QFN24 ✓ Activo
En stock Se envía en 1-3 días hábiles
1.98 V to 3.8 V Vdss 24-QFN (5x5 mm) Exposed Pad Package 32 MHz Speed 32 kB (32K x 8) Memory
Desde $2.21 USD / unidad
MOQ: 1 |
Precio actualizado: 2026-10-07
Precios por volumen
Cant. Precio unitario Total
1 $3.92 $3,92
10 $3.62 $36,20
100 $3.05 $305,00
500 $2.58 $1.290,00
1.000 $2.21 $2.210,00
ℹ️ Todos los precios están en USD

EFM32TG108F32-QFN24 Descripción general

The Silicon Labs EFM32TG108F32-QFN24 is an ARM Cortex-M3 based 32-bit microcontroller from the energy-friendly Tiny Gecko family, operating at speeds up to 32 MHz and housed in a 24-pin QFN (5x5 mm) package with exposed pad. The device integrates 32 kB of Flash memory and 4 kB of RAM, with 17 digital I/O pins, two 16-bit timers, and a rich low-energy peripheral set designed for battery-powered and energy-harvesting designs.

A microcontroller (MCU) is a single-chip computer that contains a processor core, memory, and programmable input/output peripherals. Within the broader taxonomy of semiconductors, MCUs sit alongside microprocessors (MPUs) and DSPs as the principal embedded computing elements. The EFM32 Tiny Gecko family is positioned as an ultra-low-power Cortex-M3 line, sitting between the entry-level Zero Gecko (Cortex-M0+) and the higher-end Gecko/Giant Gecko (Cortex-M3/M4) families in Silicon Labs' portfolio.

Key differentiating features include a Cortex-M3 core with up to 32 MHz operation, hardware AES encryption, a 12-bit ADC, low-energy UART and I2C peripherals capable of operation in deep sleep, and Silicon Labs' patented low-energy sensor interface (LESENSE). The peripheral reflex system (PRS) allows peripherals to communicate directly without CPU intervention, dramatically reducing active time and average current consumption. The 24-QFN package provides a compact footprint with an exposed thermal pad for improved heat dissipation in space-constrained designs.

Architecturally, the EFM32TG108F32-QFN24 employs a low-leakage CMOS process with five energy modes (EM0-EM4), enabling current consumption as low as sub-microamp levels in deep sleep while retaining RAM and GPIO state. The integrated LDO and DC-DC converter interface, along with the on-chip brown-out detector and watchdog, simplify BOM and improve system reliability.

Typical applications include battery-powered IoT sensor nodes, wearable health and fitness devices, remote keyless entry, energy harvesting systems, smart metering, and any application requiring ARM Cortex-M3 performance with the lowest possible active and sleep current. When designing with this device, ensure the exposed pad is soldered to a sufficient copper pour for thermal performance and that unused pins are configured in their defined reset state to minimize leakage.

Alternativas directas para EFM32TG108F32-QFN24 — mismo encapsulado, compatible pin a pin. Se excluyen las piezas de otro encapsulado que requieren retrabajo de la PCB.

Herramienta de comparación rápida — seleccione piezas alternativas para compararlas lado a lado:

EFM32TG108F32-QFN24T

✅ Sustitución directa
📦 24-QFN (5x5 mm)
same die and package, tape-and-reel packaging format only (not tray)

📋 Alternativa de referencia (no en el catálogo)

EFM32TG108F32-D-QFN24

✅ Sustitución directa
📦 24-QFN (5x5 mm)
extended temperature range -40C to +125C vs -40C to +85C (+40C upper limit)

📋 Alternativa de referencia (no en el catálogo)

EFM32TG108F16-QFN24

✅ Sustitución directa
📦 24-QFN (5x5 mm)
16 kB Flash vs 32 kB Flash (-50%), same RAM and peripherals

📋 Alternativa de referencia (no en el catálogo)

EFM32TG108F8-QFN24

✅ Sustitución directa
📦 24-QFN (5x5 mm)
8 kB Flash vs 32 kB Flash (-75%) and 2 kB RAM vs 4 kB RAM (-50%), same peripherals

📋 Alternativa de referencia (no en el catálogo)

EFM32TG108F4-QFN24

✅ Sustitución directa
📦 24-QFN (5x5 mm)
4 kB Flash vs 32 kB Flash (-87.5%), 2 kB RAM, same peripherals and package

📋 Alternativa de referencia (no en el catálogo)

EFM32TG110F32-QFN24

✅ Sustitución directa
📦 24-QFN (5x5 mm)
upgraded peripheral set (more timers/USART), same Flash/RAM, same package footprint

📋 Alternativa de referencia (no en el catálogo)

EFM32TG108F32-QFN24 Valores máximos y características eléctricas

Core Architecture ARM Cortex-M3
Maximum Clock Speed 32 MHz
Flash Memory 32 kB (32K x 8)
RAM 4 kB
Digital I/O Pins 17
Timers 2 x 16-bit
Supply Voltage Range 1.98 V to 3.8 V
Package Type 24-QFN (5x5 mm) Exposed Pad
Tipo de montaje Surface Mount
ADC 12-bit
Communication Interfaces I2C, UART, USART, SPI, Low-Energy UART, Low-Energy I2C
Rango de temperatura de funcionamiento -40C to +85C
Hardware Encryption AES 128/256-bit
Energy Modes EM0-EM4 (5 modes)
RoHS Compliance Compliant (Pb-free, Br-free, Sb-free)

Configuración de pines de EFM32TG108F32-QFN24

QFN-24 Package Pinout Diagram QFN-24 4x4mm, P0.5mm, EP 2.6x2.6mm, JEDEC MO-220. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 QFN-24
Pin 1 VDD — Main supply voltage input (1.98V to 3.8V)
Pin 2 PC0 — GPIO port C bit 0, analog input capable
Pin 3 PC1 — GPIO port C bit 1, analog input capable
Pin 4 PC2 — GPIO port C bit 2, analog input capable
Pin 5 PC3 — GPIO port C bit 3, analog input capable
Pin 6 PC4 — GPIO port C bit 4, analog input capable
Pin 7 PC5 — GPIO port C bit 5, analog input capable
Pin 8 PB7 — GPIO port B bit 7, analog input capable
Pin 9 PB8 — GPIO port B bit 8, analog input capable
Pin 10 PB9 — GPIO port B bit 9, analog input capable
Pin 11 PA0 — GPIO port A bit 0, analog input capable
Pin 12 PA1 — GPIO port A bit 1, analog input capable
Pin 13 PA2 — GPIO port A bit 2, analog input capable
Pin 14 PA3 — GPIO port A bit 3, analog input capable
Pin 15 PA4 — GPIO port A bit 4, analog input capable
Pin 16 PA5 — GPIO port A bit 5, analog input capable
Pin 17 PA6 — GPIO port A bit 6, analog input capable
Pin 18 PA7 — GPIO port A bit 7, analog input capable
Pin 19 RESETn — Reset input, active low, internal pull-up
Pin 20 SWDIO — Serial Wire Debug data I/O
Pin 21 SWCLK — Serial Wire Debug clock input
Pin 22 VSS — Digital ground
Pin 23 VDD_AUX — Auxiliary supply input for I/O voltage
Pin 24 PE0 — GPIO port E bit 0 (extra I/O pin)

Aplicaciones típicas

EFM32TG108F32-QFN24 es adecuado para 6 aplicacións: Battery-Powered IoT Sensor Nodes, Wearable Health and Fitness Devices, Remote Keyless Entry and Access Control, Smart Metering and Utility Monitoring, Energy Harvesting Wireless Switches, Industrial Sensor Hubs and Edge Nodes.

🧩

Battery-Powered IoT Sensor Nodes

The EFM32TG108F32-QFN24 is purpose-built for IoT sensor nodes that must operate for years on a single coin cell. Its five energy modes enable sub-microamp sleep current while retaining RAM and GPIO state, and the Cortex-M3 core wakes in microseconds to take a sensor reading. The integrated 12-bit ADC and LESENSE sensor interface eliminate external components, while hardware AES-128/256 secures wireless data. At 32 kB Flash and 4 kB RAM, the part comfortably runs BLE/Zigbee/Thread stacks via companion radios. The 5x5 mm QFN24 footprint and low active and small-energy limits make it a strong choice for sub-$5 wireless sensor designs.

📱

Wearable Health and Fitness Devices

The EFM32TG108F32-QFN24 fits wearable health monitoring devices such as fitness trackers, heart-rate monitors, and continuous glucose monitors. Its low-energy UART and I2C peripherals can wake the core on sensor events, keeping the CPU in EM2 sleep for the majority of the time. The hardware AES engine secures patient health data in transit. The 17 GPIO pins support multiple sensor inputs (PPG, accelerometer, temperature), while the 32 kB Flash and 4 kB RAM fit basic Bluetooth Heart Rate Service stacks via an external BLE radio.

🚗

Remote Keyless Entry and Access Control

Automotive remote keyless entry (RKE) systems benefit from the EFM32TG108F32-QFN24's hardware AES-128 encryption, sub-microamp standby current, and fast wake-up time for instant button-press response. The low-energy timer wake from EM2 allows the part to scan for button presses continuously while drawing only a few hundred nanoamps. The 32 kB Flash accommodates rolling-code algorithms and OEM security customization, while the 4 kB RAM is sufficient for cryptographic operations. The industrial -40C to +85C temperature range suits automotive cabin environments.

🏭

Smart Metering and Utility Monitoring

The EFM32TG108F32-QFN24 is well suited to smart electricity, water, and gas meters that must run 10+ years on a single battery. Its 1.98-3.8 V supply range supports direct connection to lithium thionyl chloride primary cells. The LESENSE peripheral can scan multiple meter pulses autonomously, freeing the CPU to remain in EM4 until the next pulse count. The hardware AES-128 secures utility billing communications, and the Cortex-M3 performance handles protocol stacks (Wireless M-Bus, OMS) without issue. The 32 kB Flash fits metering application logic plus stack libraries.

⚡

Energy Harvesting Wireless Switches

Energy harvesting wireless switches (such as EnOcean-style battery-less light switches) can use the EFM32TG108F32-QFN24 due to its sub-microamp deep sleep current and ability to wake, transmit, and return to sleep in microseconds. The combination of fast wake-up, hardware AES, and low average power extends battery-less operation across millions of switch cycles. The 17 GPIO can support multi-button interfaces, while the 5x5 mm QFN24 enables thermal integration into slim wall-mount switch plates.

🏭

Industrial Sensor Hubs and Edge Nodes

Industrial edge sensor hubs that aggregate multiple sensor inputs and forward data to a gateway benefit from the EFM32TG108F32-QFN24's multiple low-energy serial interfaces, hardware AES for secure data transfer, and Cortex-M3 performance for sensor fusion and pre-processing. The 17 GPIO pins support direct connection of multiple digital sensors, while the 12-bit ADC handles analog transducer inputs. The -40C to +85C industrial temperature range supports factory floor and outdoor installations, and the 32 kB Flash fits edge analytics algorithms.

Resumen de productos recomendados

EFR32BG22C224F512IM32 Companion BLE SoC for wireless link Se usa en: Battery-Powered IoT Sensor Nodes SI7021-A20-GMR I2C temperature/humidity sensor compatible with LE peripherals Se usa en: Battery-Powered IoT Sensor Nodes CR2032 Coin cell battery, 240 mAh typical Se usa en: Battery-Powered IoT Sensor Nodes MAX30102 PPG heart-rate sensor, I2C interface Se usa en: Wearable Health and Fitness Devices LSM6DS3TR STMicroelectronics Se usa en: Wearable Health and Fitness Devices BQ25185 Linear charger for Li-ion wearable batteries Se usa en: Wearable Health and Fitness Devices MAX14763 Sub-GHz ASK/FSK transmitter for RKE Se usa en: Remote Keyless Entry and Access Control ATA5723C Sub-GHz receiver pair for RKE link Se usa en: Remote Keyless Entry and Access Control INA226 Current shunt for power metering Se usa en: Smart Metering and Utility Monitoring AM62x Host processor for utility concentrator Se usa en: Smart Metering and Utility Monitoring BQ25570 Energy harvesting PMIC for RF switches Se usa en: Energy Harvesting Wireless Switches EFR32FG14 Sub-GHz transceiver for wireless switch link Se usa en: Energy Harvesting Wireless Switches MAX31855 Thermocouple-to-digital sensor, SPI and Modbus input Se usa en: Industrial Sensor Hubs and Edge Nodes TLV9069C Operational amplifier, low-input offset analog signal path Se usa en: Industrial Sensor Hubs and Edge Nodes
What is the operating voltage range of EFM32TG108F32-QFN24?
The EFM32TG108F32-QFN24 operates from a supply voltage of 1.98 V to 3.8 V. According to the Silicon Labs EFM32TG108 datasheet, this range is supplied on the VDD pin and covers operation across all five energy modes (EM0 through EM4). A decoupling capacitor of at least 1 uF is recommended close to the supply pin for stable operation, per the reference design in section 4 of the datasheet.
How much Flash and RAM does EFM32TG108F32-QFN24 have?
The EFM32TG108F32-QFN24 integrates 32 kB of Flash program memory and 4 kB of SRAM data memory. The Flash is configured as 32K x 8 bits, providing ample room for application code and configuration data. The 4 kB of RAM supports data logging, protocol buffers, and the LESENSE peripheral state machine. For applications needing more memory, the EFM32TG110 series provides 32 kB Flash with more peripherals in the same QFN24 footprint.
What is the maximum operating frequency of EFM32TG108F32-QFN24?
The Cortex-M3 core inside the EFM32TG108F32-QFN24 runs at up to 32 MHz. This is the Tiny Gecko family's top speed, optimized for low duty-cycle applications where wake-up time and processing throughput must be balanced against average current draw. The device can wake from EM2 sleep to full execution in a few microseconds.
What package does the EFM32TG108F32-QFN24 use?
The EFM32TG108F32-QFN24 ships in a 24-pin QFN package measuring 5x5 mm with an exposed thermal pad, as listed on the Silicon Labs product page and DigiKey listing. The exposed pad must be soldered to a ground copper pour of at least the same size for thermal performance and electrical ground reference, per the package outline drawing.
Is the EFM32TG108F32-QFN24 suitable for IoT battery-powered sensor nodes?
Yes, the EFM32TG108F32-QFN24 is purpose-built for IoT battery-powered sensor nodes. Its sub-microamp deep-sleep current in EM4, fast wake-up time from EM2, on-chip LESENSE sensor interface, and hardware AES encryption make it ideal for nodes that spend most of their time sleeping. Silicon Labs provides Simplicity Studio with energy-aware profiling tools specifically for this family.
Where can I buy the EFM32TG108F32-QFN24 online?
The EFM32TG108F32-QFN24 is available from authorized distributors including DigiKey (stock check at digikey.com/en/products/detail/silicon-labs/EFM32TG108F32-QFN24/2508069) and Mouser (mouser.com/ProductDetail/Silicon-Labs/EFM32TG108F32-QFN24). Pricing as of 2026-10-07 starts around $3.92 per unit at qty 1, dropping to approximately $2.21 at qty 1000. XAIPART also stocks this part for engineering prototyping needs.
What is the price of EFM32TG108F32-QFN24 in volume?
The EFM32TG108F32-QFN24 pricing as of 2026-10-07 is approximately $3.92 at qty 1, $3.62 at qty 10, $3.05 at qty 100, $2.58 at qty 500, and $2.21 at qty 1000 on distributor channels. Volume pricing for OEM production at qty 1000+ is typically below $2.00. Always confirm current rates directly on DigiKey or Mouser as pricing fluctuates with market demand.
What is the lead time for EFM32TG108F32-QFN24 from distributors?
As of 2026-10-07, the EFM32TG108F32-QFN24 lead time at DigiKey and Mouser is typically 8-12 weeks from factory, though distributor stock often ships same day for smaller quantities. The part is in active production at Silicon Labs, so authorized distributor stock and factory lead times are both reliable for production planning. Contact XAIPART for committed stocking arrangements.
What is the difference between EFM32TG108F32-QFN24 and EFM32TG108F8-QFN24?
The EFM32TG108F32-QFN24 has 32 kB Flash and 4 kB RAM, while the EFM32TG108F8-QFN24 has only 8 kB Flash and 2 kB RAM. Both parts share the same QFN24 package, pinout, and peripheral set, making the F8-QFN24 a cost-down drop-in for applications with smaller code size. Both share identical electrical characteristics and 32 MHz operation.
Is the EFM32TG108F32-QFN24 pin-compatible with EFM32TG110F32-QFN24?
The EFM32TG108F32-QFN24 and EFM32TG110F32-QFN24 are pin-compatible in the 24-QFN (5x5 mm) package, but the EFM32TG110F32 series offers additional peripherals (more timers, more USART) at a slightly higher cost. Both are Tiny Gecko family devices, and the TG108 represents the minimal-peripheral version while TG110 adds more connectivity. This makes them drop-in compatible in most designs.
Is EFM32TG108F32-QFN24 the same as EFM32TG108F32-QFN24T?
The EFM32TG108F32-QFN24 and EFM32TG108F32-QFN24T are functionally identical; the only difference is packaging format - QFN24 ships in tray while QFN24T ships in tape-and-reel for high-volume pick-and-place assembly. Both share the same 24-QFN (5x5 mm) package, identical silicon die, same electrical specifications, and same 32 kB Flash/4 kB RAM. The QFN24T variant is preferred for SMT production lines.
Where can I download the EFM32TG108F32-QFN24 datasheet PDF?
The official EFM32TG108F32-QFN24 datasheet PDF is available at silabs.com/documents/public/data-sheets/efm32tg108-datasheet.pdf and mirrored on Keil's site at keil.com/dd/docs/datashts/energymicro/efm32tg/d0032_efm32tg108_datasheet.pdf. The datasheet contains the electrical specifications, pinout, package outline, register descriptions, and reference designs needed for design-in. DigiKey also hosts a download link on the product detail page.
Where is the EFM32TG108F32-QFN24 pinout located?
The EFM32TG108F32-QFN24 pinout is provided in section 4 of the Silicon Labs EFM32TG108 datasheet, including the top-view pin diagram for the 5x5 mm QFN24 package. The 24 pins include supply (VDD/VDD_AUX), ground, 17 digital I/O, reset, and the SWD debug interface (SWDIO/SWCLK). Pin 1 is indicated by the dot on the package top marking; the exposed pad is pin 25 and must be soldered to ground.
What are the key specifications engineers should know about EFM32TG108F32-QFN24?
The EFM32TG108F32-QFN24 is a 32-bit ARM Cortex-M3 MCU at 32 MHz with 32 kB Flash, 4 kB RAM, 17 GPIO, 1.98-3.8 V supply, in 24-QFN 5x5 mm. It supports AES-128/256 hardware encryption, 12-bit ADC, Low-Energy UART/I2C for sleep-mode communication, LESENSE autonomous sensor engine, and 5 energy modes from EM0 (active) to EM4 (shutoff). Key applications are IoT battery nodes, wearables, and remote keyless entry.

Datos de referencia de ingeniería para EFM32TG108F32-QFN24 — comparación, orientación de diseño e información de cumplimiento.

Guía de selección

Choose the EFM32TG108F32-QFN24 when your application needs 32 kB Flash (for stacks like BLE or Thread), hardware AES-128/256 encryption, and the full Tiny Gecko peripheral set in a compact 5x5 mm QFN24 package. Choose the EFM32TG108F32-D-QFN24 when you need extended -40C to +125C temperature range for harsh industrial or automotive under-hood environments. Choose the EFM32TG108F16-QFN24 or F8-QFN24 for cost-down designs with smaller firmware (8-16 kB Flash). Choose the EFM32TG110F32-QFN24 if you need additional USART/timer resources in the same QFN24 footprint. All six variants are pin-compatible drop-in alternatives on the same PCB layout.

Comparación con alternativas

Parámetro Este producto EFM32TG108F32-QFN24T EFM32TG108F32-D-QFN24 EFM32TG108F16-QFN24 EFM32TG108F8-QFN24 EFM32TG110F32-QFN24
Package 24-QFN (5x5 mm) 24-QFN (5x5 mm) - same 24-QFN (5x5 mm) - same 24-QFN (5x5 mm) - same 24-QFN (5x5 mm) - same 24-QFN (5x5 mm) - same
Brand Silicon Labs Silicon Labs Silicon Labs Silicon Labs Silicon Labs Silicon Labs
Flash Memory 32 kB 32 kB 32 kB 16 kB (-50%) 8 kB (-75%) 32 kB
RAM 4 kB 4 kB 4 kB 4 kB 2 kB (-50%) 4 kB
Maximum Clock Speed 32 MHz 32 MHz 32 MHz 32 MHz 32 MHz 32 MHz
Operating Temperature Range -40C to +85C -40C to +85C -40C to +125C (extended) -40C to +85C -40C to +85C -40C to +85C
Supply Voltage 1.98V to 3.8V 1.98V to 3.8V 1.98V to 3.8V 1.98V to 3.8V 1.98V to 3.8V 1.98V to 3.8V
Packaging Format Tray Tape & Reel Tray Tray Tray Tray
Hardware AES Encryption AES 128/256 AES 128/256 AES 128/256 AES 128/256 AES 128/256 AES 128/256

Diferenciadores clave

  • Five energy modes with sub-microamp deep sleep retaining RAM state (frente a EFM32TG108F8-QFN24)
  • Hardware AES-128/256 encryption engine on-chip (frente a EFM32TG108F8-QFN24)
  • LESENSE autonomous sensor interface (frente a EFM32TG108F16-QFN24)

Notas de diseño

The EFM32TG108F32-QFN24's exposed thermal pad (pin 25 underside) must be soldered to a ground copper pour of at least the same footprint as the package for both thermal performance and electrical reference. Place the bulk decoupling capacitor (>=1 uF ceramic X5R) within 2 mm of the VDD pin, and an additional 100 nF high-frequency bypass within 1 mm. Route SWD signals (SWDIO/SWCLK) as a matched pair with ground shield for reliable debug access at 32 MHz operation.

For sub-microamp sleep current, disable all unused peripherals in the CMU (Clock Management Unit) and configure unused pins as analog inputs with the input buffer disabled, or as outputs driving a defined level. Per Silicon Labs AN0007, a typical EFM32TG application achieves <2 uA average current with proper energy mode transitions. Use the peripheral reflex system (PRS) to wake the core only on external events rather than polling loops in EM0.

Common pitfalls when designing with EFM32TG108F32-QFN24 include: (1) failing to set unused GPIO to a defined state, which adds leakage; (2) leaving the debug interface unlocked in the final firmware, allowing unauthorized flash read; (3) not enabling the Voltage Scaling API before increasing clock frequency above 16 MHz, which causes brown-out. Always lock the debug interface (GPIO->ROUTE register) for production firmware per Silicon Labs AN0030.

For RF-sensitive applications (such as the EFM32 paired with a sub-GHz or 2.4 GHz radio), keep the QFN24 ground pour continuous and unbroken under the package to provide a clean RF reference. Use a 4-layer PCB with a dedicated ground plane for production designs; 2-layer boards work for prototypes but require careful stitching vias around the QFN24 perimeter. Keep high-frequency traces (HFXTLE crystal traces) within 5 mm of the MCU and ground-shield them.

Información de cumplimiento

RoHS
Compliant
REACH
Compliant
AEC-Q100
Not Qualified
Libre de plomo
Yes
Libre de halógenos
Yes
Minerales en conflicto
Compliant

Per Silicon Labs EFM32TG108 datasheet: all EFM32 packages are RoHS compliant and free of Bromine (Br) and Antimony (Sb). Standard -40C to +85C industrial temperature range; not AEC-Q100 qualified (choose F32-D-QFN24 for -40C to +125C).

Datos verificados el: 2026-10-07 — datos verificados y seleccionados por el equipo de ingeniería de componentes de XAIPART

Búsquedas relacionadas

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Componentes & términos relacionados

Silicon Labs EFM32TG108F32-QFN24 EFM32TG108F32-QFN24T EFM32TG108F32-D-QFN24 EFM32TG108F16-QFN24 EFM32TG108F8-QFN24 EFM32TG110F32-QFN24 ARM Cortex-M3 Tiny Gecko EFM32 family Zero Gecko Giant Gecko microcontroller MCU QFN-24 5x5 mm RoHS hardware AES encryption LESENSE peripheral reflex system PRS energy harvesting IoT sensor node wearable remote keyless entry smart metering
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