STM32G474QET3

STMicroelectronics
511-STM32G474QET3
STM32G474QET3

Mfr.:

Description:
ARM Microcontrollers - MCU 16/32-BITS MICROS

ECAD Model:
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In Stock: 244

Stock:
244
Can Dispatch Immediately
On Order:
540
Expected 22-06-2026
Factory Lead Time:
30
Weeks Estimated factory production time for quantities greater than shown.
Minimum: 1   Multiples: 1
Unit Price:
₹-.--
Ext. Price:
₹-.--
Est. Tariff:

Pricing (INR)

Qty. Unit Price
Ext. Price
₹1,062.25 ₹1,062.25
₹832.10 ₹8,321.00
₹774.33 ₹19,358.25
₹710.96 ₹71,096.00
₹680.21 ₹1,70,052.50
₹660.65 ₹3,56,751.00
₹644.81 ₹6,96,394.80

Product Attribute Attribute Value Select Attribute
STMicroelectronics
Product Category: ARM Microcontrollers - MCU
RoHS:  
STM32G4
SMD/SMT
LQFP-128
ARM Cortex M4
512 kB
32 bit
12 bit
170 MHz
107 I/O
128 kB
1.71 V
3.6 V
- 40 C
+ 125 C
Tray
Brand: STMicroelectronics
DAC Resolution: 12 bit
Data RAM Type: SRAM
Interface Type: I2C, SPI, USART
Moisture Sensitive: Yes
Number of ADC Channels: 42 Channel
Product: MCU+FPUs
Product Type: ARM Microcontrollers - MCU
Program Memory Type: Flash
Factory Pack Quantity: 540
Subcategory: Microcontrollers - MCU
Tradename: STM32
Watchdog Timers: Watchdog Timer, Windowed
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Attributes selected: 0

Compliance Codes
CNHTS:
8542319092
CAHTS:
8542310000
USHTS:
8542310025
TARIC:
8542319000
ECCN:
3A991.a.2
Origin Classifications
Country of Origin:
Taiwan
Assembly Country of Origin:
Not available
Country of Diffusion:
Not available
The country is subject to change at the time of shipment.

STM32G4 Mixed-Signal Microcontrollers (MCUs)

STMicroelectronics STM32G4 Mixed-Signal Microcontrollers (MCUs) combines a 32-bit Arm® Cortex®-M4 core (with FPU and DSP instructions) running at 170MHz. This is also combined with 3 different hardware accelerators: ART Accelerator™, CCM-SRAM routine booster, and mathematical accelerators. A flexible interconnect matrix allows autonomous communication between peripherals and saves CPU resources and power consumption. A high degree of compatibility with the STM32F3 Series guarantees outstanding efficiency when designing derivatives of applications at different performance levels.