Maxim Integrated MAX78000 AI Microcontroller

Maxim Integrated MAX78000 AI Microcontroller


MAX78000 – Ultra-low-power Arm Cortex-M4 processor with FPU-based microcontroller with Convolutional Neural Network Accelerator.

The MAX78000 is is an advanced system-on-chip built to enable neural networks to execute at ultra-low power and live at the edge of the IoT. This product combines the most energy-efficient AI processing with Maxim’s proven ultra-low power microcontrollers. The hardware-based convolutional neural network (CNN) accelerator enables battery-powered applications to execute AI inferences while spending only microjoules of energy.

In addition to the memory in the CNN engine, the MAX78000 has large on-chip system memory for the microcontroller core, with 512KB flash and up to 128KB SRAM. Multiple high-speed and low-power communications interfaces are supported, including I2S and a parallel camera interface (PCIF).

The device is available in 81-pin CTBGA (8mm x 8mm, 0.8mm pitch) and 130-pin WLP (4.6mm x 3.7mm, 0.35mm pitch) packages.

Key features

Dual Core Ultra-Low-Power Microcontroller

  • Arm Cortex-M4 Processor with FPU Up to 100MHz
  • 512KB Flash and 128KB SRAM
  • Optimized Performance with 16KB Instruction Cache
  • Optional Error Correction Code (ECC-SEC-DED) for SRAM
  • 32-Bit RISC-V Coprocessor up to 60MHz
  • Up to 52 General-Purpose I/O Pins
  • 12-Bit Parallel Camera Interface
  • One I2S Master/Slave for Digital Audio Interface

Neural Network Accelerator

  • Highly Optimized for Deep Convolutional Neural Networks
  • 442k 8bit Weight Capacity with 1,2,4,8-bit Weights
  • Programmable Input Image Size up to 1024 x 1024 pixels
  • Programmable Network Depth up to 64 Layers
  • Programmable per Layer Network Channel Widths up to 1024 Channels
  • 1 and 2 Dimensional Convolution Processing
  • Streaming Mode
  • Flexibility to Support Other Network Types, Including MLP and Recurrent Neural Networks

Power Management Maximizes Operating Time for Battery Applications

  • Integrated Single-Inductor Multiple-Output (SIMO) Switch-Mode Power Supply (SMPS)
  • 2.0V to 3.6V SIMO Supply Voltage Range
  • Dynamic Voltage Scaling Minimizes Active Core Power Consumption
  • 22.2μA/MHz While Loop Execution at 3.0V from Cache (CM4 only)
  • Selectable SRAM Retention in Low-Power Modes with Real-Time Clock (RTC) Enabled

Security and Integrity

  • Available Secure Boot
  • AES 128/192/256 Hardware Acceleration Engine
  • True Random Number Generator (TRNG) Seed Generator

more information:

Mike is the founder and editor of, an electronics engineering community/news and project sharing platform. He studied Electronics and Physics and enjoys everything that has moving electrons and fun. His interests lying on solar cells, microcontrollers and switchmode power supplies. Feel free to reach him for feedback, random tips or just to say hello :-)

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