The ideal single-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-MC1 has been developed from the multi-core codebase and features Imagination Tensor Tiling which can reduce bandwidth by up to 90%. It features 4,096 MAC/clk that deliver over 12.5 TOPS at less than 0.5 watt and is available to license now.

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Series: Series4 NNA

Architectures: AI

Performance: 4096 MACs (up to 12.5 TOPS), Mid-range

Markets: ADAS, Automotive Applications, Autonomous Driving, Data Centre, Gaming: AR/VR, High-End Mobile, Infotainment, Smart Surveillance

  • 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
API support
Framework Support
Bus interface
  • AXI4
Memory system
  • Virtual memory
  • 12.5 TOPS
MACs per clock rate
  • 8-bit: 4096 MACs/clk per core
  • 16-bit: 1024 MACS/clk per core