EFR32BG22 vs EFR32MG24

EFR32BG22 vs EFR32MG24: Silicon Labs BLE Chip Comparison

Overview

Both the EFR32BG22 and EFR32MG24 come from Silicon Labs' EFR32 Wireless Gecko family and share the same ARM Cortex-M33 core architecture, but they occupy very different positions in the product lineup. The EFR32BG22 is a focused, cost-optimized Bluetooth-only SoC aimed at space- and power-constrained applications. The EFR32MG24 is Silicon Labs' premium multiprotocol SoC, built for complex IoT ecosystems that need to support BLE, Thread, Zigbee, and Matter simultaneously — with an AI/ML hardware accelerator on top.

The EFR32BG22 targets applications where BLE 5.2 is the sole radio requirement and where bill-of-material cost matters. It integrates 352 KB of Flash and 32 KB of RAM, which is ample for sensor firmware and simple ATT">GATT profiles but limiting for over-the-air update images or large mesh stacks. Its Secure Vault Mid feature set covers secure key storage and authenticated boot, meeting most commercial IoT security requirements without the overhead of the full Secure Vault High found in larger Silicon Labs parts.

The EFR32MG24 integrates 1536 KB of Flash and 256 KB of RAM — more than four times the storage of the BG22. This headroom enables dual-bank OTA updates, multi-protocol concurrent operation, and on-device machine-learning inference using the integrated MVP (Matrix Vector Processor) hardware accelerator. The MG24 supports BLE 5.3, IEEE 802.15.4 (Thread and Zigbee), and is Matter-certified out of the box.

Key Differences

• Protocols: EFR32BG22 supports BLE 5.2 only; EFR32MG24 adds Thread, Zigbee, and Matter on the same die, enabling dynamic multiprotocol operation where BLE and 802.15.4 run concurrently.
• Memory: BG22 ships with 352 KB Flash / 32 KB RAM; MG24 offers 1536 KB Flash / 256 KB RAM — critical for dual-image OTA and ML inference.
• AI/ML: MG24 includes the MVP hardware accelerator for TensorFlow Lite Micro inference; BG22 has no dedicated ML hardware.
• Security: MG24 supports Secure Vault High with PUF-based key storage; BG22 offers Secure Vault Mid.
• Power: BG22 is optimized for lowest possible sleep current (1.0 µA EM2 deep sleep); MG24's larger die and broader feature set result in slightly higher quiescent current.
• Cost: BG22 is priced for high-volume cost-sensitive designs; MG24 carries a significant price premium reflecting its feature richness.
• Package: BG22 is available in a compact 4×4 mm QFN32; MG24 is offered in a larger 7×7 mm QFN48 or BGA.

Use Cases

EFR32BG22 is ideal for: - Coin-cell-powered sensors (temperature, humidity, motion) with multi-year battery life requirements - BLE beacons and asset-tracking tags where protocol simplicity is a virtue - Medical wearables and disposable patches that demand minimal BOM cost - Consumer accessories (keyboards, mice, fitness bands) shipping in high volumes

EFR32MG24 is ideal for: - Smart home hubs and border routers serving both BLE and Thread/Zigbee networks - Matter-certified lighting, plugs, and thermostats requiring ecosystem interoperability - Industrial gateways with on-device anomaly detection via ML inference - Products requiring large dual-image OTA to meet field-update reliability standards

Verdict

Choose the EFR32BG22 when BLE is your only protocol, your design is cost-sensitive or space-constrained, and years of coin-cell battery life are non-negotiable. Choose the EFR32MG24 when your product must participate in Matter ecosystems, support Thread or Zigbee alongside BLE, or leverage on-device AI inference. The MG24's premium is justified by its multiprotocol and ML capabilities; the BG22's simplicity is its strength in pure BLE designs.