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Glossary

NPU

Neural Processing Unit — a dedicated co-processor optimized for the matrix math of neural network inference. Found in modern smartphone SoCs, laptop CPUs, and Copilot+ PCs.

An NPU executes ML workloads at much lower power than a CPU or GPU can. Smartphone NPUs run features like computational photography, on-device translation, and voice recognition continuously without draining battery.

In laptops

  • Apple Neural Engine — 38 TOPS in M5 generation.
  • Qualcomm Hexagon (X Elite/X2) — 45–80 TOPS.
  • Intel AI Boost (Lunar Lake / Panther Lake) — 48+ TOPS.
  • AMD XDNA 2 (Ryzen AI 300/400) — 50+ TOPS.

What it enables

Windows Studio Effects (background blur, eye contact, auto-framing) run on the NPU instead of the CPU/GPU, freeing those for productive work. On macOS, Live Captions, dictation, and image segmentation all run on Neural Engine.

NPU vs GPU

NPUs are more efficient per watt; GPUs are far higher throughput. Heavy generative AI workloads (Stable Diffusion, large LLMs) still favor a GPU.

Buyer context

How to use NPU in a real comparison

Neural Processing Unit — a dedicated co-processor optimized for the matrix math of neural network inference. Found in modern smartphone SoCs, laptop CPUs, and Copilot+ PCs. In practice, this is most useful as one part of a decision rather than a standalone quality badge. Compare it alongside the workload, room, ecosystem, budget, and ownership constraints that apply to you; the strongest published figure is not automatically the best outcome for every buyer.

What to check next

Open a product page and check the stated value, configuration, price, and related trade-offs before treating this term as decisive. It is especially relevant in .

Avoid the one-number trap

Manufacturers can describe the same capability under different conditions. Compare like-for-like variants, check the unit and test condition where available, and use a head-to-head page to see whether a measurable difference is material for your own use.

vsMars presents structured catalog values to make trade-offs legible. The linked product and spec pages are the right place to inspect the underlying values before buying.

Where this matters

Categories that use npu

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