The BL606P chip contains multiple RISC-V processors with a maximum clock frequency of 480MHz. M0 is a 32-bit RISC-V CPU with a 5-stage pipeline structure, supports RISC-V 32/16-bit mixed instruction set, contains 62 external interrupt sources, and 4 bits can be used to configure interrupt priority. M0 contains 32K instruction cache and 16K data cache. D0 is a 64-bit RISC-V CPU with a 5-stage pipeline structure, supports the RISC-V RV64IMAFCV instruction architecture, contains 28 external interrupt sources, and 3 bits can be used to configure the interrupt priority. D0 contains 32K instruction cache and 32K data cache. BL606P includes audio codec, has 700KB RAM / 16M pSRAM / 2Kb eFuse storage resources, and supports external Flash. Various integrated peripherals and rich GPIO pins, low power consumption of ~1uA level during sleep, meet the functional requirements of various IoT products such as smart speakers and video surveillance.

The wireless subsystem of BL606P integrates Wi-Fi / BT / BLE / Zigbee four-in-one wireless interconnection unit, and realizes Wi-Fi / BLE / Zigbee coexistence on a single chip. The subsystem has a built-in RISC-V 32-bit high-performance CPU, which can realize a variety of wireless connections and data transmission, provide a variety of connection and transmission experiences, and help build an Internet of Things with wider coverage and more powerful application functions. equipment and solutions.

BL606P supports RISC-V secure zone partition; supports QSPI/SPI Flash instant AES decryption (OTFAD); supports AES-CBC/GCM/XTS mode; supports MD5, SHA-1/224/256/384/512; provides public key Accelerator (PKA). The powerful security mechanism ensures the secure connection of the device and the security of the application program interface.

BL606P uses the IoT development framework BL_IOT_SDK. BL_IOT_SDK has undergone rigorous application testing and has been successfully applied to tens of millions of IoT devices. Based on its mature and clear software architecture, complete API and easy-to-use tools, developers will be easier to build BL606P applications or port solutions to other platforms. While using BL606P and SDK to build rich IoT connection functions, combined with the artificial intelligence speech recognition software library jointly developed by Bolu Intelligence and Alibaba Damo Academy, more interconnected applications of intelligent interaction scenarios can be realized.