EFM32G200F32-QFN32 - ARM Cortex-M3 32MHz MCU 32KB Flash | EFM32 Gecko
MPN: EFM32G200F32-QFN32 ✗ End of Life| Qty | Unit Price | Extended |
|---|---|---|
| 1 | $1.65 | $1.65 |
| 10 | $1.49 | $14.90 |
| 100 | $1.32 | $132.00 |
| 500 | $1.18 | $590.00 |
| 1,000 | $1.05 | $1,050.00 |
EFM32G200F32-QFN32 Overview
A microcontroller (MCU) is a single-chip computer containing a processor core, program memory (Flash), working memory (RAM), and a rich mix of peripherals such as timers, ADCs, communication interfaces, and GPIO. The Cortex-M3 core implements the ARMv7-M instruction set with hardware multiply/divide and the Thumb-2 instruction encoding, giving 32-bit performance at 16-bit code density. MCU taxonomy: microcontroller -> embedded MCU -> ARM Cortex-M MCU -> Cortex-M3 MCU -> low-power Cortex-M3 MCU. The EFM32 Gecko family sits at the low-power end of this hierarchy, optimized for battery and energy-harvesting designs.
Key features include 24 digital I/O pins (capable of 5V tolerance on most pins), 2 x 16-bit timers plus a 16-bit RTCC, multiple serial interfaces (USART, I2C, USB), a 12-bit ADC, and a low-energy peripheral fabric that can operate while the CPU is asleep. The supply range of 1.98V to 3.8V allows direct connection to a single Li-ion cell or two AA cells, and the deep-sleep current is in the microamp range.
Architecturally, the Gecko platform separates the Cortex-M3 core domain from an autonomous low-energy peripheral domain, so ADCs, comparators, and timers can run from LFCLK (32.768 kHz) without waking the CPU. This LESENSE-style partitioning is what enables the family's sub-uA sleep currents and microjoule event response times.
Typical applications include IoT sensor nodes, wireless battery powered wearables, smart metering, HVAC sensor nodes, and any batteryless smart-building. The 32-QFN footprint helps compact designs in space-constrained PCBAs. When designing with this device, plan the decoupling network between the supply pins and across DECOUPL pins and respect the exposed-pad PCB layout for thermal and ECS reliability. This page synthesizes distributor pricing, drop-in alternatives, and practical design notes not found in the Silicon Labs datasheet alone.
Drop-in alternatives for EFM32G200F32-QFN32 — same package, pin-to-pin compatible. Different-package parts requiring PCB rework are excluded.
Variants in this series
Same-series models that are drop-in compatible with EFM32G200F32-QFN32 (same form factor and footprint) — differing in Core, Package, ADC, Flash Memory, Operating Temperature.
Quick Comparison Tool — Select alternative parts for side-by-side comparison:
EFM32G200F64-QFN32
✅ Drop-In✓ In Stock
$1.74 / Unit
View Datasheet →EFM32G210F128-QFN32
✅ Drop-In📋 Reference alternative (not in catalog)
EFM32TG210F32-QFN32
✅ Drop-In📋 Reference alternative (not in catalog)
EFM32ZG210F32-QFN32
✅ Drop-In📋 Reference alternative (not in catalog)
EFM32G200F32-QFN32T
✅ Drop-In📋 Reference alternative (not in catalog)
CY8C4247AZI-L423ES
✅ Drop-In✓ In Stock
$4.55 / Unit
View Datasheet →EFM32G200F32-QFN32 Maximum Ratings & Electrical Characteristics
| Core Processor | ARM Cortex-M3 |
| Core Size | 32-Bit |
| Core Speed | 32 MHz |
| Program Memory Size (Flash) | 32 kB (32K x 8) |
| RAM Size | 8 kB |
| Supply Voltage (Vcc/Vdd) | 1.98 V to 3.8 V |
| Number of I/O Pins | 24 |
| Timers | 2 x 16-bit |
| ADC | 12-bit |
| Package | 32-QFN (6x6 mm) with exposed pad |
| Mounting Type | Surface Mount |
| Connectivity | I2C, IrDA, LIN, SmartCard, SPI, UART/USART, USB |
| Peripherals | Brown-out Detect/Reset, DMA, POR, PWM, WDT |
| RoHS Status | Compliant |
EFM32G200F32-QFN32 Pin Configuration
| Pin 1 | VDD — Digital I/O supply voltage |
| Pin 2 | PA0 — GPIO / ADC0 channel 0 |
| Pin 3 | PA1 — GPIO / ADC0 channel 1 |
| Pin 4 | PA2 — GPIO / ADC0 channel 2 |
| Pin 5 | PA3 — GPIO / ADC0 channel 3 |
| Pin 6 | PA4 — GPIO / ADC0 channel 4 |
| Pin 7 | PA5 — GPIO / ADC0 channel 5 |
| Pin 8 | PA6 — GPIO / ADC0 channel 6 |
| Pin 9 | PA7 — GPIO / ADC0 channel 7 |
| Pin 10 | PA8 — GPIO / TIMER0 CC0 |
| Pin 11 | PA9 — GPIO / TIMER0 CC1 |
| Pin 12 | PA10 — GPIO / TIMER0 CC2 |
| Pin 13 | PA11 — GPIO / TIMER1 CC0 |
| Pin 14 | PA12 — GPIO / TIMER1 CC1 |
| Pin 15 | PA13 — GPIO / TIMER1 CC2 / SWDIO |
| Pin 16 | PA14 — GPIO / SWCLK |
| Pin 17 | PA15 — GPIO |
| Pin 18 | PB0 — GPIO / I2C0 SDA |
| Pin 19 | PB1 — GPIO / I2C0 SCL |
| Pin 20 | PB2 — GPIO / USART0 RX |
| Pin 21 | PB3 — GPIO / USART0 TX |
| Pin 22 | PB4 — GPIO / USART1 RX |
| Pin 23 | PB5 — GPIO / USART1 TX |
| Pin 24 | PB6 — GPIO / LEUART0 RX |
| Pin 25 | PB7 — GPIO / LEUART0 TX |
| Pin 26 | PC0 — GPIO / ACMP0 input |
| Pin 27 | PC1 — GPIO / ACMP1 input |
| Pin 28 | RESETn — Reset input, active low |
| Pin 29 | VSS — Ground |
| Pin 30 | VDD — Digital I/O supply voltage |
| Pin 31 | VSS — Ground |
| Pin 32 | VSS — Ground (exposed pad primary thermal/ground return) |
Typical Applications
EFM32G200F32-QFN32 is suitable for 6 applications: Battery-Powered IoT Sensor Nodes, Smart Home Wireless Nodes, Wearable Health Monitoring Devices, Smart Metering and Utility Nodes, HVAC and Building Automation, Industrial IoT Edge Sensors.
Battery-Powered IoT Sensor Nodes
The EFM32G200F32-QFN32's autonomous low-energy peripheral domain lets the 12-bit ADC and 16-bit timers run from the 32.768 kHz LFCLK without waking the Cortex-M3 core, achieving sub-microamp deep-sleep currents suitable for coin-cell and energy-harvesting sensor nodes. Its 1.98V-3.8V supply range accepts a single Li-ion cell directly, while the 32 kB Flash fits typical BLE/Zigbee sensor-firmware images with sensor drivers plus a state machine. Placed on the main MCU position with 100nF ceramic decoupling on each VDD pin and the exposed pad tied to a contiguous ground pour for thermal relief, the part outperforms general-purpose Cortex-M0 MCUs in quiescent current by an order of magnitude. Unlike higher-parts with richer analog, the G200 variant strips back to its largest peripheral advantage - its lowest-power sleep mode - making it ideal for duty-cycled sensor reporting at sub-1Hz.
Recommended
Smart Home Wireless Nodes
For BLE/Zigbee/Sub-GHz sensor nodes, the EFM32G200F32-QFN32 pairs with an external radio transceiver, where its 24 GPIO and rich connectivity (USART, SPI, I2C, USB) drive the radio plus sensors and a user interface. The Cortex-M3 32 MHz core handles a wireless protocol stack plus application logic, while the Gecko's autonomous peripherals maintain connection intervals and button-press detection without waking the CPU. Its 32 kB Flash accommodates Thread/Zigbee-capable application profiles with limited nodes. Compared to general-purpose Cortex-M0 alternatives, the G200's LESENSE-style peripheral domain reduces average current by 30-50% in connection-mode duty cycling for greater throughput than IoT gateways.
Recommended
Wearable Health Monitoring Devices
Wearable health monitoring devices need sub-uA deep-sleep current and a small 32-QFN 6x6 mm footprint for wristband and patch form factors, both of which the EFM32G200F32-QFN32 provides. The Cortex-M3 32 MHz core runs biometric algorithms (heart-rate, SpO2) at modest computational loads, while the 12-bit ADC samples PPG biosensors under DMA without CPU intervention. Its 1.98V-3.8V supply range accepts a single Li-Po cell directly, and the 8 kB SRAM fits a small RTOS plus sensor-fusion buffers. Compared to larger Cortex-M4 alternatives, the G200 strips back DSP cores for autonomous operations, making it ideal for battery-life-constrained wearables with sensor duty cycles of 1-10Hz for greater battery life than non-low-power parts.
Recommended
Smart Metering and Utility Nodes
Smart electricity, water, and gas meters leverage the EFM32G200F32-QFN32's low-power operation to run for 10+ years on a primary cell. The autonomous low-energy peripheral domain wakes the CPU only on meter pulses, button presses, or scheduled timeouts, achieving typical average currents under 10 uA in metering mode. The 32 kB Flash fits wireless M-Bus or wM-Bus protocol stacks plus metering firmware, while the 24 GPIO drives meter pulse counters, LCD segments, and tamper switches. Compared to general-purpose Cortex-M0 alternatives, the G200's zeroGecko-style sleep mode extends battery life by 2-3x in low-duty-cycle metering for greater battery life than battery-operated metering.
Recommended
HVAC and Building Automation
HVAC sensor and actuator nodes benefit from the EFM32G200F32-QFN32's rich connectivity (USART, SPI, I2C) for interfacing with HVAC systems plus its low-power operation for battery or energy-harvesting sensor nodes. The Cortex-M3 32 MHz core runs building automation protocols (BACnet, Modbus, KNX) at modest computational loads, while the 32 kB Flash fits a small RTOS plus application logic. Compared to general-purpose Cortex-M0 alternatives, the G200's autonomous peripheral domain reduces average current by 30-50% in low-duty-cycle HVAC sensing for greater battery life than battery-powered building automation sensors.
Recommended
Industrial IoT Edge Sensors
Industrial IoT edge sensors in factory automation leverage the EFM32G200F32-QFN32's industrial temperature support and 1.98V-3.8V supply range for 24V-bus-to-3.3V-rail operation. The Cortex-M3 32 MHz core runs edge-class field-protocol stacks plus sensor-fusion logic, while the 32 kB Flash fits small industrial IoT firmware with sensor drivers plus a state machine. Its 24 GPIO drives 4-20 mA loop interfaces, digital sensors, and a user interface. Compared to general-purpose Cortex-M0 alternatives, the G200's autonomous peripheral domain reduces average current by 30-50% in industrial sensing for greater battery life than mains-powered industrial sensors.
Recommended
Recommended Products Summary
Engineering reference data for EFM32G200F32-QFN32 — comparison, design guidance, and compliance information.
Selection Guide
Comparison with Alternatives
| Parameter | This Product | EFM32G200F64-QFN32 | EFM32G210F128-QFN32 | EFM32TG210F32-QFN32 | EFM32ZG210F32-QFN32 | EFM32G200F32-QFN32T | CY8C4247AZI-L423ES |
|---|---|---|---|---|---|---|---|
| Package | 32-QFN (6x6) | 32-QFN (6x6) | 32-QFN (6x6) | 32-QFN (6x6) | 32-QFN (6x6) | 32-QFN (6x6) | 32-QFN |
| Brand | Silicon Labs | Silicon Labs | Silicon Labs | Silicon Labs | Silicon Labs | Silicon Labs | Infineon |
| Core | ARM Cortex-M3 32 MHz | ARM Cortex-M3 32 MHz | ARM Cortex-M3 32 MHz | ARM Cortex-M3 32 MHz | ARM Cortex-M0+ 32 MHz | ARM Cortex-M3 32 MHz | ARM Cortex-M0+ 48 MHz |
| Flash | 32 kB | 64 kB | 128 kB | 32 kB | 32 kB | 32 kB | 32 kB |
| RAM | 8 kB | 8 kB | 16 kB | 8 kB | 4 kB | 8 kB | 4 kB |
| Supply Voltage | 1.98V - 3.8V | 1.98V - 3.8V | 1.98V - 3.8V | 1.98V - 3.8V | 1.98V - 3.8V | 1.98V - 3.8V | 1.71V - 3.6V |
| Family | EFM32 Gecko | EFM32 Gecko | EFM32 Gecko | EFM32 Tiny Gecko | EFM32 Zero Gecko | EFM32 Gecko | PSoC 4100S |
Key Differentiators
- Lowest-power Cortex-M3 MCU in the EFM32 family (vs EFM32G210F128-QFN32)
- Drop-in Flash upgrade path to F64 variant (vs EFM32G200F64-QFN32)
- Smaller Flash footprint than Tiny Gecko (vs EFM32TG210F32-QFN32)
- Higher core speed than Cortex-M0+ alternatives (vs CY8C4247AZI-L423ES)
Design Notes
Estimated: The EFM32G200F32-QFN32's exposed pad (EP) is the primary thermal and ground return path. Solder the EP to a contiguous ground pour of at least 2 square inches with at least 8 thermal vias (0.3 mm drill, 0.5 mm pitch) to ensure reliable operation. Place 100nF ceramic decoupling capacitors as close as possible to each VDD pin (within 2 mm trace length) and a 4.7uF bulk capacitor at the supply input.
Do not exceed the maximum VDD of 3.8V - the EFM32G200F32-QFN32 is NOT 5V tolerant on its supply pins. For 5V systems, use an external LDO (e.g., TPS7A4701) to drop to 3.3V. GPIO is 5V tolerant on most pins when VDD >= 2V, but verify each pin's VDD spec in the datasheet before connecting to 5V logic. Failure to respect VDD range can cause latch-up and permanent device damage.
Estimated: At 32 MHz active mode with all peripherals running, the EFM32G200F32-QFN32 draws approximately 7 mA from VDD. In EM2 deep-sleep mode with RTC running, the current drops to approximately 0.9 uA. For coin-cell battery life, the firmware should spend >99% of time in EM2/EM4 sleep modes with peripherals running autonomously from LFCLK to achieve multi-year battery life.
Keep the SWD interface traces (SWDIO, SWCLK, RESETn) under 100 mm and route them away from switching nodes and high-current traces. Add 4.7kΩ IO-resistors in series on the SWD lines for in-circuit debugging isolation. The 32 kHz crystal traces should be routed symmetrically with ground guard traces on both sides to minimize noise pickup and EMI in low-frequency wireless metering and IoT designs.
Compliance Information
RoHS and REACH compliant per Silicon Labs product page. Lead-free and halogen-free per Silicon Labs material declaration. Not AEC-Q100 qualified - choose automotive-grade EFM32 variants for automotive applications.
