# EFM8UB10F16G-C-QFN20R Silicon Labs | Integrated Circuits (ICs) | DigiKey

**Manufacturer:** Silicon Labs  
**MPN:** `EFM8UB10F16G-C-QFN20R`

## Specifications

| Attribute | Value |
| --- | --- |
| Brand name | Silicon Labs |
| Manufacturer name | Silicon Labs |
| Manufacturer | Silicon Labs |
| Extra Product Name | EFM8UB10F16G-C-QFN20R Silicon Labs \| Integrated Circuits (ICs) \| DigiKey |
| atoms | 1 |
| extraShipping | 0 |
| moq | 1 |
| MPN | EFM8UB10F16G-C-QFN20R |
| multiple | 1 |
| qtyInStock | 13 |
| SKU | 7725336 |
| tierMinQty1 | 1 |
| tierMinQty2 | 25 |
| tierMinQty3 | 100 |
| tierPrice1 | 1.23000 |
| tierPrice2 | 1.12600 |
| tierPrice3 | 1.02380 |
| Category | Integrated Circuits (ICs) |
| Mfr | Silicon Labs |
| Series | Universal Bee |
| Package | Tape & Reel (TR) |
| Part Status | Active |
| Core Processor | CIP-51 8051 |
| Core Size | 8-Bit |
| Speed | 50MHz |
| Connectivity | I?C, SMBus, SPI, UART/USART, USB |
| Peripherals | Brown-out Detect/Reset, POR, PWM, WDT |
| Program Memory Size | 16KB (16K x 8) |
| Program Memory Type | FLASH |
| EEPROM Size | - |
| RAM Size | 2.25K x 8 |
| Voltage - Supply (Vcc/Vdd) | 1.71V ~ 3.6V |
| Data Converters | A/D 11x12b |
| Oscillator Type | Internal |
| Operating Temperature | -40?C ~ 85?C (TA) |
| Mounting Type | Surface Mount |
| Package / Case | 20-WFQFN Exposed Pad |
| Supplier Device Package | 20-QFN (3x3) |
| Number of I/O | 13 |

## Distributor availability

| Distributor | SKU | Price (USD) | Qty | Stock | MOQ |
| --- | --- | --- | --- | --- | --- |
| Digi-Key | 7725336 | 1.23 | 1 | 13 | 1 |
| Digi-Key | 5592641 | 2.54 | 1 | None | 1 |
| Hotenda | H4466880 |  |  | None | 1 |
| iodParts | EFM8UB10F16G-C-QFN20R | 0.819 | 1 | 9000 | 1500 |
| Newark | 03AH0178 | 2.66 | 1 | 2315 | 1 |
| Digi-Key | 7725324 | 2.54 | 1 | 2990 | 500 |
| Mouser | 634-8UB10F16GCQFN20R | 1.23 | 1 | None | 1 |
| Arrow | EFM8UB10F16G-C-QFN20R |  |  | None | 1500 |

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Structured data: `/python/html6/product/500/51000000/51314500/part_--EFM8UB10F16GCQFN20R---SiliconLabs--3bb7fe2de5.json`  
Search API: https://www.dataalchemy.com/api/  
MCP server: https://www.dataalchemy.com/mcp