Silicon Labs

EFM32G840F64-QFN64 - 32MHz Cortex-M3 MCU | Silicon Labs

부품 번호: EFM32G840F64-QFN64 ✓ 활성
재고 있음 영업일 기준 1~3일 내 발송
1.98 V to 3.8 V Vdss 64-QFN, 9 mm x 9 mm Package 32 MHz Speed 64 kB Memory
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MOQ: 1 |
가격 업데이트: 2026-10-22
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EFM32G840F64-QFN64 개요

The Silicon Labs EFM32G840F64-QFN64 is an ARM Cortex-M3 microcontroller operating up to 32 MHz, with 64 kB Flash, 16 kB RAM, and 56 digital I/O pins in a 64-QFN package. Designed for energy-sensitive embedded systems, it combines a low-power Gecko platform, fast wake-up capability, and energy-saving modes for responsive designs with constrained power budgets.

A microcontroller is a programmable semiconductor that integrates a processor core, memory, I/O, timers, and communication peripherals on one integrated circuit. Within the product hierarchy, the EFM32G840F64-QFN64 is a 32-bit ARM Cortex-M3 MCU in the EFM32 Gecko family. It executes embedded control logic while providing local digital interfaces, analog functions, and low-power operating modes for connected products.

The verified device features include a 32 MHz maximum CPU speed, 64 kB Flash, 16 kB RAM, 56 digital I/O pins, and three 16-bit timers. Distributor data also identifies a 64-QFN package with a 9 mm by 9 mm body and an exposed pad. The package supports surface-mount assembly, while the exposed pad provides the primary thermal connection on the PCB.

The Cortex-M3 architecture gives the MCU a 32-bit processing interface suitable for control loops, human-interface logic, communications, and general embedded tasks. The Gecko low-power platform is particularly relevant in battery-operated equipment because the device combines conventional processing with energy-saving modes. Designers should use the Silicon Labs documentation to configure wake behavior, clocks, peripherals, and current-consumption targets for the exact product configuration.

Typical uses include industrial sensor nodes, connected meters, portable medical accessories, smart-building controls, compact consumer devices, and low-energy IoT equipment. Its 56 digital I/O pins can support buttons, displays, indicators, and external interface signals, while the three 16-bit timers are useful for timing, pulse generation, and periodic control tasks.

A critical design consideration is decoupling and exposed-pad layout. Place the required bypass capacitors close to the supply pins and connect the exposed thermal pad according to the manufacturer's package guidance. Validate the power rails, boot configuration, peripheral pin mapping, and low-power behavior on hardware before production.

This page combines verified manufacturer and distributor facts with engineering-focused selection, comparison, sourcing, and design guidance. It is intended to help engineers identify the correct MCU, verify package assumptions, and assess migration options without relying on unverified electrical or lifecycle assumptions.

드롭인 대체품: EFM32G840F64-QFN64 — 동일 패키지, 핀 호환. PCB 재작업이 필요한 다른 패키지 부품은 제외됩니다.

이 시리즈의 변형

다음과 드롭인 호환되는 동일 시리즈 모델: EFM32G840F64-QFN64 (동일 폼 팩터 및 풋프린트) — 차이점: Package, Digital I/O Pins, Flash Memory, Maximum Clock Speed, Series.

Silicon Labs
Package: 64-QFN (9 x 9 mm) with exposed pad
Digital I/O Pins: 56
Flash Memory: 32 kB
비교 대상: EFM32G840F64-QFN64 →
Silicon Labs
Package: 64-QFN (9x9 mm) with Exposed Pad
Maximum Clock Speed: 48 MHz
Series: EFM32 Giant Gecko
비교 대상: EFM32G840F64-QFN64 →

빠른 비교 도구 — 나란히 비교할 대체 부품을 선택하십시오:

EFM32G840F64-QFN64T

✅ 드롭인
📦 64-QFN (9x9 mm)
Related same-family ordering suffix; exact supply, temperature, and qualification differences are not quantified in the verified data

📋 참조 대체품 (카탈로그에 없음)

EFM32LG840F64-QFN64

✅ 드롭인
📦 64-QFN (9x9 mm)
Same package family and Gecko naming pattern; verified sources do not quantify differences in memory, peripherals, or electrical limits

📋 참조 대체품 (카탈로그에 없음)

EFM32GG230F1024G-E-QFN64

✅ 드롭인 ⚠️ 사양 미검증
Silicon Labs
📦 64-QFN
Silicon Labs · EFM32 Giant Gecko · ARM Cortex-M3 · 32-Bit Single-Core · 48 MHz · 1 MB (1M x 8) · 128 KB · 56

✓ 재고 있음

$9.6 / 개

데이터시트 보기 →

EFM32G840F64-QFN64 최대 정격 & 전기적 특성

Product Type 32-bit ARM Cortex-M3 microcontroller
CPU Maximum Frequency 32 MHz
Flash Memory 64 kB
RAM 16 kB
Digital I/O Pins 56 pins
Timer Count 3 x 16-bit timers
Supply Voltage Range 1.98 V to 3.8 V
패키지 64-QFN, 9 mm x 9 mm
Package Type QFN surface-mount package with exposed pad
Core ARM Cortex-M3
Series EFM32 Gecko
실장 유형 Surface Mount
핀 수 64 pins

EFM32G840F64-QFN64 qfn surface-mount package with exposed pad 핀 구성 가이드

EFM32G840F64-QFN64(qfn surface-mount package with exposed pad 패키지)의 핀 구성입니다. 이 디지털 IC에는 GPIO, 통신 인터페이스(UART, SPI, I2C), 전원 핀이 포함되어 있습니다. 대체 핀 기능과 구성 옵션은 제조사 데이터시트를 참조하십시오. 임베디드 시스템 설계와 PCB 레이아웃에 필수적입니다.

EFM32G840F64-QFN64의 qfn surface-mount package with exposed pad 패키지 핀아웃 다이어그램

다음에 대한 상세 핀아웃 데이터 없음: EFM32G840F64-QFN64.

다음을 참조하십시오: 데이터시트 전체 핀 구성은 다음을 참조하십시오.

일반적인 애플리케이션

EFM32G840F64-QFN64 적합 용도: 6 애플리케이션s: Low-Power Industrial Sensor Node, Smart-Building Control Module, Portable Medical Accessory, Connected Energy Meter, Battery-Powered IoT Controller, Compact Consumer Control Panel.

🏭

Low-Power Industrial Sensor Node

The EFM32G840F64-QFN64 fits industrial sensor nodes that periodically measure a physical quantity, filter the result, and communicate status while minimizing idle energy. Its ARM Cortex-M3 core operates up to 32 MHz for control logic, while 64 kB Flash and 16 kB RAM provide local storage for firmware and data handling. The three 16-bit timers support periodic sampling, debounce timing, or sensor excitation. The Gecko low-power platform is relevant when the design relies on energy-saving modes and fast wake-up behavior. Engineers should validate the actual current profile with the selected sensor and radio rather than assuming MCU-only consumption determines battery life.

🏠

Smart-Building Control Module

The EFM32G840F64-QFN64 is suitable for smart-building controllers that combine local inputs, relay or indicator outputs, and low-power behavior. Its 56 digital I/O pins provide resources for buttons, occupancy inputs, status LEDs, and control signals, while the three 16-bit timers can handle periodic tasks and timing sequences. The 32 MHz Cortex-M3 core can manage protocol state machines and local decision logic. In a building-control design, the MCU can wake from an energy-saving state, sample inputs, update an actuator, and return to sleep. Exact pin multiplexing, supply sequencing, and exposed-pad thermal design should be confirmed using the manufacturer documentation.

💊

Portable Medical Accessory

The EFM32G840F64-QFN64 can support compact portable medical accessories that require local control, timed measurements, and low standby energy. The 32 MHz Cortex-M3 core is appropriate for managing sensor reads, user input, display updates, and device state, while 64 kB Flash and 16 kB RAM are useful for compact firmware. Three 16-bit timers can support measurement windows, button handling, and periodic service routines. The product's energy-saving modes and fast wake-up behavior are relevant to battery-powered operation, but medical designs must also address applicable product-specific safety, isolation, EMC, and documentation requirements. No medical certification is inferred from the supplied data.

⚡

Connected Energy Meter

The EFM32G840F64-QFN64 is well matched to connected energy-meter front ends that need deterministic sampling, local event handling, and flexible I/O. Its three 16-bit timers can organize measurement windows, while the Cortex-M3 core performs calculations and communication-stack tasks. The 56 digital I/O pins can support status inputs, display controls, and external interface signals. Low-power operation is valuable in meter and monitoring equipment where duty-cycled measurement is common. The designer should verify analog front-end requirements, calibration strategy, communications peripheral availability, and the exact supply range against the manufacturer documentation before finalizing the architecture.

🧩

Battery-Powered IoT Controller

The EFM32G840F64-QFN64 supports battery-powered IoT controllers that wake for short processing bursts and spend much of their time in low-energy states. Silicon Labs identifies the Gecko platform around fast wake-up, energy-saving modes, and low-power techniques, which helps reduce the inactive-energy penalty of periodic sensing. The 32 MHz core provides enough throughput for protocol and control logic, while 64 kB Flash and 16 kB RAM accommodate compact applications. The design should measure active current, sleep current, wake latency, and radio-related current together; the MCU datasheet alone cannot establish complete system battery life.

📱

Compact Consumer Control Panel

The EFM32G840F64-QFN64 fits compact consumer control panels that combine buttons, indicators, displays, and local logic in a small surface-mount design. Its 56 digital I/O pins allow multiple user-interface signals to be connected, while the three 16-bit timers support debounce, long-press handling, indicator timing, and periodic refresh. The 32 MHz Cortex-M3 core can execute a responsive control state machine, and 16 kB RAM is useful for buffering display or communication data. QFN assembly requires careful exposed-pad soldering and thermal design. Check display voltage, interface timing, and firmware resource requirements before selecting the MCU for the final panel.

What are the key specifications of EFM32G840F64-QFN64 that engineers should know?
The EFM32G840F64-QFN64 is a 32-bit Silicon Labs ARM Cortex-M3 microcontroller rated up to 32 MHz, with 64 kB Flash, 16 kB RAM, 56 digital I/O pins, and three 16-bit timers. According to the Silicon Labs product page and distributor listings verified on 2026-10-23, it uses a 64-QFN package measuring 9 mm by 9 mm and includes an exposed pad. It is positioned for energy-sensitive embedded applications using the EFM32 Gecko low-power platform.
What is the operating voltage of EFM32G840F64-QFN64?
The EFM32G840F64-QFN64 operates from 1.98 V to 3.8 V, according to the verified distributor specifications retrieved on 2026-10-23. This supply range makes the MCU suitable for 2.5 V and 3.3 V system rails. The exact regulator, bypass-capacitor, and peripheral current requirements should still be checked in the manufacturer documentation before committing a PCB design.
Where can I download the EFM32G840F64-QFN64 datasheet PDF?
The official EFM32G840F64-QFN64 product page is https://www.silabs.com/mcu/32-bit-microcontrollers/efm32-gecko/device.efm32g840f64-qfn64. Search that page for the linked manufacturer datasheet PDF and device documentation. The verified distributor search also identifies the part as a Silicon Labs Gecko device with 64 kB Flash, 16 kB RAM, and a 64-QFN package.
Where can I find the EFM32G840F64-QFN64 pinout?
The EFM32G840F64-QFN64 pinout should be obtained from the official Silicon Labs device documentation rather than inferred from a distributor photograph. The verified package information identifies a 64-QFN with an exposed pad. Pin names, alternate functions, analog assignments, and exposed-pad connections must be checked against the current manufacturer datasheet before layout release.
What can replace the EFM32G840F64-QFN64?
The verified cross-reference data identifies EFM32G840F64-QFN64T as the closest same-family candidate, but the search data does not establish a verified pin-to-pin drop-in equivalence. Because the target is a 64-QFN MCU with specific peripheral and electrical details, a replacement should be accepted only after comparing the manufacturer pinout, supply limits, memory map, interrupt assignment, boot behavior, exposed-pad requirements, and package drawing.
Is EFM32G840F64-QFN64 the same as EFM32G840F64-QFN64T?
EFM32G840F64-QFN64T is listed as a related Silicon Labs device in the verified cross-reference data, but the provided sources do not prove that it is a drop-in equivalent. The target is specified as a 64-QFN device, while the related part has a different ordering suffix. Confirm the exact package, temperature, qualification, and pin configuration in the manufacturer documentation before substitution.
Is EFM32G840F64-QFN64 suitable for low-power IoT applications?
The EFM32G840F64-QFN64 is suitable for low-power IoT applications because Silicon Labs positions the EFM32 Gecko platform around energy-saving modes, fast wake-up capability, and energy-efficient operation. Its 32 MHz Cortex-M3 core, 64 kB Flash, and 16 kB RAM provide enough resources for compact connected-control nodes. Final battery-life selection depends on the selected radio, sensor duty cycle, wake policy, and measured current.
How many I/O pins and timers does EFM32G840F64-QFN64 have?
The EFM32G840F64-QFN64 provides 56 digital I/O pins and three 16-bit timers, according to the verified Silicon Labs product-page snippet. Those resources can support buttons, status indicators, sensors, displays, and periodic control functions. Alternate-function availability and whether every I/O pin is usable on a particular board configuration must be confirmed in the package pinout.
What applications are suitable for EFM32G840F64-QFN64?
The EFM32G840F64-QFN64 fits industrial sensor nodes, smart-building controls, connected meters, portable accessories, compact consumer products, and low-energy IoT equipment. Its 32 MHz Cortex-M3 core handles embedded logic, while the 56 I/O pins and three timers support external control and timing functions. The best application is one that needs deterministic control, local memory, and energy-aware operation rather than a high-performance graphics workload.
How do I choose between EFM32G840F64-QFN64 and EFM32G840F64-QFN64T?
Choose EFM32G840F64-QFN64 when its verified 64-QFN package, 32 MHz core, 64 kB Flash, and 16 kB RAM match the design. Consider EFM32G840F64-QFN64T only after reviewing the manufacturer documentation for temperature range, qualification, ordering, and exact electrical compatibility. The supplied web data does not establish a verified drop-in relationship, so the two parts should not be treated as interchangeable without engineering review.
What is the price of EFM32G840F64-QFN64?
The verified data confirms distributor availability and pricing pages for EFM32G840F64-QFN64, including DigiKey, Mouser, and Octopart, but it does not provide a numeric price for this exact order quantity. Accordingly, the current unit price and volume breaks are marked as data needed rather than guessed. Request a live quote from the distributor or XAIPART for pricing as of 2026-10-23.
What is the lead time for EFM32G840F64-QFN64?
A numeric lead time is not provided in the verified web data for EFM32G840F64-QFN64. The DigiKey search result says the part is orderable and ships today, while Mouser and Octopart provide availability or pricing lookup pages, but these snippets do not establish a guaranteed lead time for every quantity. Confirm current stock, scheduled delivery, and lot availability before placing a production order.
Is EFM32G840F64-QFN64 in stock?
The verified DigiKey result states “Order today, ships today” for EFM32G840F64-QFN64, indicating listed distributor availability at the time of retrieval. The Octopart and Mouser results also provide live availability lookup pages. Stock levels can change quickly, so treat the statement as a search-time observation as of 2026-10-23 and verify the requested quantity with the supplier.
Where can I buy EFM32G840F64-QFN64 online?
EFM32G840F64-QFN64 can be sourced through the verified Silicon Labs product page and distributor listings at DigiKey, Mouser, and Octopart. The DigiKey listing identifies the part as a 32-bit ARM Cortex-M3 Gecko MCU with 64 kB Flash and a 64-QFN package. Compare authorized-channel availability, authorized traceability, and the exact MPN suffix before submitting a purchase.
What is the best cross-brand equivalent for EFM32G840F64-QFN64?
The supplied cross-reference data does not verify a cross-brand drop-in equivalent for EFM32G840F64-QFN64. A cross-brand MCU would need the same 64-QFN footprint, compatible supply range, equivalent peripheral mapping, compatible memory and interrupt behavior, and a confirmed exposed-pad connection. Until those points are documented by a manufacturer or authorized distributor, no cross-brand replacement is presented as verified.

엔지니어링 참조 데이터: EFM32G840F64-QFN64 — 비교, 설계 지침 및 규정 준수 정보.

선택 가이드

Choose EFM32G840F64-QFN64 when the design requires an ARM Cortex-M3 MCU up to 32 MHz, 64 kB Flash, 16 kB RAM, 56 digital I/O pins, three 16-bit timers, and a verified 64-QFN package. It is a strong fit for compact control, sensing, and connected low-energy products where the Gecko power-management features matter. Consider EFM32G840F64-QFN64T or EFM32LG840F64-QFN64 only after checking the exact manufacturer documentation because the supplied search results do not prove drop-in equivalence. Do not select a cross-brand substitute without a confirmed package drawing, pin mapping, supply range, peripheral set, and exposed-pad layout. For a new design, also verify current pricing, lead time, lifecycle status, and temperature specifications before committing to production.

대체품과의 비교

파라미터 이 제품 EFM32G840F64-QFN64T EFM32LG840F64-QFN64 EFM32GG230F1024G-E-QFN64
Package 64-QFN (9x9 mm) 64-QFN (9x9 mm) - package detail requires verification 64-QFN package family - exact drawing requires verification 64-QFN - exact pin compatibility requires verification
Brand Silicon Labs Silicon Labs Silicon Labs Silicon Labs

주요 차별점

  • Verified 32 MHz Cortex-M3 processing performance (vs EFM32G840F64-QFN64T)
  • Verified 64 kB Flash and 16 kB RAM allocation (vs EFM32LG840F64-QFN64)
  • Documented 56 digital I/O pins and three 16-bit timers (vs EFM32GG230F1024G-E-QFN64)
  • Low-power Gecko positioning for energy-sensitive designs (vs Cross-brand alternatives)

설계 노트

The verified supply range is 1.98 V to 3.8 V. Design the power tree so that the MCU rail remains within this range during startup, load transients, and sleep-state transitions. Place required bypass capacitance close to the supply pins and verify the exposed-pad connection using the manufacturer package guidance. For a battery-powered design, estimate energy using MCU active current, sleep current, wake duration, and peripheral current; the MCU specification alone does not determine battery life.

The 64-QFN package uses an exposed pad for thermal and electrical land-pattern requirements. Follow the manufacturer’s package drawing for pad dimensions, solder-mask opening, paste pattern, and assembly process. An estimated calculation should use the actual dissipation and board copper area; no thermal resistance or maximum junction temperature was supplied in the verified data, so those values must be obtained from the datasheet before production release.

Place the MCU, decoupling capacitors, and exposed-pad thermal vias close together according to the recommended layout. Keep high-current and switching-node copper away from sensitive analog and communication routes where practical. Confirm every alternate function and pin assignment against the 64-pin QFN drawing, because the distributor data confirms the package size but does not provide a complete verified pin table.

Do not treat a same-series MPN as automatically drop-in compatible. The supplied cross-reference results show related EFM32 devices but do not establish identical pinouts, memory maps, peripheral assignments, temperature limits, or qualification. Before replacing EFM32G840F64-QFN64, compare the exact package drawing, supply range, exposed pad, boot configuration, peripheral multiplexing, firmware compatibility, and lifecycle status.

규정 준수 정보

RoHS
Unknown
REACH
Unknown
AEC-Q100
Unknown
무연
Unknown
무할로겐
Unknown
분쟁 광물
Unknown

The supplied verified data does not state RoHS, REACH, AEC-Q100, lead-free, halogen-free, or conflict-minerals status. These values remain unknown rather than inferred from the manufacturer or package.

관련 검색

EFM32G840F64-QFN64 EFM32G840F64-QFN64 datasheet Silicon Labs EFM32G840F64-QFN64 32 MHz Cortex-M3 64 kB Flash microcontroller 64-QFN 9x9 EFM32 microcontroller EFM32 Gecko low-power IoT controller EFM32G840F64-QFN64 vs EFM32G840F64-QFN64T EFM32G840F64-QFN64 replacement EFM32G840F64-QFN64 buy online EFM32G840F64-QFN64 price EFM32G840F64-QFN64 lead time EFM32G840F64-QFN64 pinout 1.98 V to 3.8 V Cortex-M3 MCU 64 pin QFN microcontroller exposed pad low power ARM Cortex-M3 energy saving modes

관련 부품 & 용어

Silicon Labs EFM32G840F64-QFN64 EFM32 Gecko ARM Cortex-M3 32-bit microcontroller microcontroller semiconductor embedded controller low-power platform energy-saving modes fast wake-up 64 kB Flash 16 kB RAM 56 digital I/O pins 3 x 16-bit timers 32 MHz 1.98 V to 3.8 V 64-QFN 9 mm x 9 mm package exposed pad surface mount industrial sensor node low-power IoT controller smart-building control
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