IMG 4NX-MC2

IMG Series4 Neural Network Accelerator (NNA)

The leading dual-core solution for neural network acceleration

IMG Series4 next-generation neural network accelerator (NNA) is ideal for advanced driver-assistance systems (ADAS) and autonomous vehicles such as robotaxis. The range of cores incorporates sophisticated technical features including Imagination Tensor Tiling, advanced safety mechanisms and intelligent workload management.

Imagination’s low-power and functionally safe NNA architecture is optimised to run full network inferencing and executes multiple operations in a single pass to maximise performance per watt and deliver its industry-leading energy efficiency.

The cores are assembled on a cluster design with per-core on-chip memory and an internal bus and have been designed in 1, 2, 4, 6 and 8-core multi-core configurations. These can then be used as building blocks for further configurations.

The IMG 4NX-MC2 has been developed from the multi-core codebase and features Imagination Tensor Tiling which can reduce bandwidth by up to 90%. It features 8,192 MAC/clk that deliver over 25 TOPS at less than one watt and is available to license now.

API support
  • IMG DNN API
Framework Support
Bus interface
  • AXI4
Memory system
  • Virtual memory
TOPS
  • 25 TOPS @1.5 GHz
MACs per clock rate
  • 8-bit: 8,192 total, 4096 MAC/clk per core
  • 8×16-bit: 4,096 total, 2048 MAC/clk per core
  • 16-bit: 2,048 total, 1024 MAC/clk per core
Architecture
Markets
  • Automotive:
    • ADAS
    • Autonomous driving
    • Infotainment
  • Gaming: AR/VR
  • Smart surveillance
  • High-end mobile
Features
  • Imagination Tensor Tiling
  • Lossless weight compression
  • Low latency
  • High-density neural network acceleration
  • Wide and variable bit-depth (4 to 16 bits)
  • Dynamic fixed-point data type
  • Per filter exponent selection
  • Memory Management Unit
  • Wide range of elementwise unit operations
  • Embedded configurable on-chip memory

You can do more with IMG Series4 NNA