Edgeless EAI-Series Dual Arm Cortex-M4 MCU Features a 300 GOPS CNN-NPU

Microcontrollers will have an important role to play in AIoT (AI + IoT) applications as they provide the lowest cost and power consumption. Performance is limited but we start seeing MCUs with AI accelerators such as GreenWaves GAP9 multi-core RISC-V microcontroller or Kendryte K210 RISC-V MCU with a KPU AI accelerator.

Another option is by Edgeless Semiconductor Co. Ltd (零边界集成电路有限公司) based in Zhuhai, China, and more specifically its Edgeless EAI-Series dual-core Arm Cortex-M4 microcontrollers equipped with a 300 GOPS CNN NPU.

Edgeless EAI specifications:

• CPU – Dual Arm Cortex-M4F @ up to 200Mhz, with DSP instructions, I/D cache for high performance; 500DMIPS/1.25DMIPS/MHz (Dhrystone2.1)
• AI Accelerator – CNN-NPU clocked at up to 300MHz with 300 GOPS peak throughput; 144MAC/cycle, EER up to 1TOPS/W, for image recognition scenario.
  • Support major CNN Models including Resnet-18,
    Resnet-34, Vgg16, GoogleNet, Lenet, etc..
  • Support Convolutional kernel size 1~7
  • Support Channel/Feature No. up to 512
  • Support Max/Average pooling function
  • Arithmetic Precision: 16-bit fixed-point
• Memory
  • Up to 384KB of SRAM, 256KB for CNN-NPU (Share with CPU)
  • Up to 8MB of SIP-SDRAM
  • Flexible external memory control: SRAM, PSRAM,
• Storage – 4KB OTP for system BootROM, external SPI NOR/NAND Flash, 1x SD/MMC up to 25 MB/sec data transfer for 8-bit mode
• CRC calculation unit
• Clock, reset and supply management
  • 1.7~3.6V application supply and I/Os
  • POR, PDR, PVD, and LVD
  • 4 to 26 MHz crystal oscillator
  • Internal 8 MHz RC (1% accuracy)
  • PLL – PLLKDP 300MHz clock; PLL 180~216MHz clock;  PLLSAI 192MHz clock;  PLLI2S 48MHz clock
  • 30kHz internal RC for watchdog or RTC
  • 32.768kHz external crystal for RTC
• Low power modes
  • Run, Sleep, Stop 1/2, Standby, Shutdown
  • Backup domain VBAT supply for RTC
• 12-bit 2.4MSPS SAR-ADC with 16 channel
• One analog comparator module (ACMP) with
  12-bit 4096-level DAC
• Dedicated 2D Graph Accelerator
  • IMP supporting image copy, format convert, blending, scaling and Harris corner detection
  • VIN, 8- to 14-bit parallel camera interfaces, DVP mode, up to 54 Mbytes/s
  • VOUT supporting multi-format TFT-LCD video output up to 1024×768 resolution
• One low gate count 16-ch DMA for M2M, P2M, M2P, P2P data transaction with FIFO and burst
• Security modules
  • CRYPTO, data en/decryption algorithm, AES/3DES/DES and HASH/HMAC
  • TRNG, true random number generator
  • OTP, secure data and BootROM code
• Up to 18 timers
  • Up to 4x 16-bit and 2x 32-bit timers up to 200 MHz, each with up to 4 IC/OC or pulse counter and the generation of PWM signals
  • 1x RTC (Battery back-up domain)
  • 1x WWDG (Window watchdog timer)
  • 1x IWDG (Independent watchdog timer)
  • 1x SysTick timer
• Other Peripherals
  • Up to 3x I2C interfaces
  • Up to 8x UARTs with full-duplex data exchange,
  • Up to 2x SPIs, full-duplex synchronous and single-wire bidirectional mode and 4- to 16-bit word frames
  • Up to 1x CAN 2.0B interfaces
  • 1x USB 2.0 full-speed device/host/OTG controller with off-chip PHY
  • 2x SAI (Serial Audio Interface) and 4x PDM
  • Up to 161x I/O ports with interrupt capability
• Debugging – Serial wire debug (SWD),  Cortex-M4 Trace Macrocell
• Packages (QFN, LQFP):
  • EAI60 – QFN40 with 2MB SDRAM
  • EAI68 – QFN40 with 8MB SDRAM
  • EAI80 – QFN80 with 8MB SDRAM
  • EAI88 – LQFP128
  • EAI90 – LQFP144
  • EAI98 – LQFP176

The company does not appear to have a website, but I found the datasheet via a Banana Pi private group on Facebook as Banana Pi is currently designing an EAI80 development board.

The board also includes an ESP8266 WiFI module, a 40-pin GPIO interface, connectors for LCD and cameras, two microphones, a USB-C port, a CAN bus header, and a battery header. This reminds me of Maixduino SBC, but except of being RISC-V-based, it is Arm-based and features an ESP8266 module instead of one with ESP32. Both connect to a camera & a display, and perform AI inference (computer vision/audio processing) on low-end hardware.

That’s all the information I have for now, and no details about the SDK has been leaked so far. It will likely take a little longer before such SoC and board become available.

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