Chip vs Chip

CC2652R vs EFR32MG24

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Side-by-side comparison of CC2652R and EFR32MG24 BLE SoCs.

CC2652R vs EFR32MG24: Two Routes to Multi-Protocol Matter

Both the CC2652R and EFR32MG24 are capable multi-protocol SoCs certified or certifiable for Thread/Wi-Fi." data-category="Protocols & Profiles">Matter, but they achieve this through different architectural choices and offer different capability profiles. This comparison guides engineers choosing the right chip for Matter-enabled smart home or industrial IoT products.


Overview

CC2652R from Texas Instruments uses a dual-core approach — 48 MHz Cortex-M4F for applications and Cortex-M0 for radio management — to handle BLE 5.1, Thread, Zigbee, and proprietary 2.4 GHz simultaneously. With 352 KB flash and 352 KB SRAM, it has proven itself in millions of deployed smart home devices and carries Matter certification as a Thread device. TI's ecosystem maturity and broad reference design library make it a reliable foundation for high-volume production.

EFR32MG24 (Mighty Gecko 24) from Silicon Labs is designed explicitly for the Matter era. It integrates a 78 MHz Cortex-M33 with FPU, 1.5 MB flash, 256 KB RAM, Secure Vault security subsystem, and a hardware AI/ML accelerator. It supports BLE 5.3, Thread, Zigbee, and proprietary 2.4 GHz — all simultaneously — with Matter certification achieved through Silicon Labs' GSDK. The AI/ML accelerator enables on-device inference for predictive maintenance, anomaly detection, and voice keyword spotting without impacting radio performance.


Key Differences

  • Flash memory: EFR32MG24 has 1.5 MB vs. CC2652R's 352 KB — over 4× more, accommodating larger Matter stack firmware and OTA update images.
  • RAM: EFR32MG24 has 256 KB vs. CC2652R's 352 KB — CC2652R leads here, though EFR32MG24's 256 KB is ample for most Matter applications.
  • AI/ML acceleration: EFR32MG24 includes a hardware ML accelerator; CC2652R has no dedicated ML hardware.
  • Security: EFR32MG24's Secure Vault provides hardware attestation, secure key storage, and tamper detection; CC2652R relies on standard ARM TrustZone.
  • Core architecture: CC2652R uses M4F + M0 dual-core split; EFR32MG24 uses a single M33 with higher clock ceiling.
  • BLE version: EFR32MG24 supports BLE 5.3; CC2652R supports BLE 5.1.
  • RX sensitivity: EFR32MG24 achieves −105 dBm; CC2652R achieves −97 dBm at 1 Mbps.
  • Package: EFR32MG24 is available in 5 × 5 mm QFN-40; CC2652R in 7 × 7 mm QFN-48.

Use Cases

CC2652R Excels At

Cost-sensitive high-volume Matter devices — smart plugs, bulbs, and switches where BOM cost per unit must be minimized — benefit from CC2652R's mature supply chain and competitive pricing in volume tiers. Its 352 KB SRAM handles the Thread and Matter stacks without headroom concerns.

Dual-standard bridging in products that need to maintain a Zigbee network for legacy devices while simultaneously operating as a Thread/Matter node is a proven CC2652R use case, supported by TI's Zigbee-Thread coexistence SDK examples.

EFR32MG24 Excels At

Matter devices requiring OTA firmware updates benefit greatly from EFR32MG24's 1.5 MB flash, which accommodates both the running image and a full OTA download buffer without external flash — simplifying BOM and reducing update failure risk.

Edge AI at the endpoint — occupancy sensors using ML-based people counting, HVAC controllers using anomaly detection, or security sensors using acoustic event classification — can run inference on EFR32MG24's ML accelerator while the radio stack runs concurrently.

Security-certified products targeting FDA, IEC 62443, or PSA Certified Level 3 compliance leverage Secure Vault's hardware attestation and measured boot, which are difficult to achieve equivalently in software alone.


Verdict

For standard Matter device development where cost and ecosystem maturity are priorities, the CC2652R remains a strong choice with a proven track record in production deployments. Its 352 KB SRAM is generous for Thread + Matter stacks, and TI's SimpleLink SDK is battle-tested.

For next-generation Matter devices that need larger firmware images, hardware-backed security certification, or on-device AI inference, the EFR32MG24 is the superior platform. Its 1.5 MB flash eliminates the external flash requirement for OTA, and the ML accelerator opens new product differentiation opportunities that CC2652R cannot address.

자주 묻는 질문

Our comparisons use verified datasheet specifications to create side-by-side tables. Each comparison includes a verdict explaining when to choose each option based on your project requirements.