Published 2026-09-27 · Last updated 2026-09-27
What is NPU TOPS and how much do I need?
The short answer
TOPS (trillions of operations per second) measures NPU throughput. You need 40+ TOPS for Copilot+ features — that is Microsoft's certification floor. The 2026 mainstream is 45–50 TOPS (Intel Core Ultra, Ryzen AI 300/400), and the high end is 80 TOPS (Snapdragon X2). For local LLMs, TOPS barely matters — memory bandwidth decides tokens/sec.
Key numbers
- Copilot+ certification floor: 40 NPU TOPS.
- 2026 mainstream laptops: 45–50 TOPS; Snapdragon X2 Elite: 80 TOPS.
- Local LLM speed correlates with memory bandwidth (GB/s), not NPU TOPS.
TOPS is a peak-throughput number: how many integer operations the NPU can sustain per second at a given precision (usually INT8). Comparing TOPS across vendors is only valid at the same precision — a 45 TOPS INT8 chip and a 45 TOPS INT4 chip are not equivalent.
The practical thresholds in 2026: 40 TOPS unlocks Copilot+ (Recall, Cocreator, live translation). 45–60 TOPS handles on-device assistants and background AI comfortably. 80 TOPS (Snapdragon X2 Elite) targets sustained multi-agent and vision workloads.
The common mistake: buying TOPS for local LLMs. Local LLM generation runs on the GPU/CPU via llama.cpp or MLX and is bandwidth-bound. A 50 TOPS laptop with 100 GB/s memory loses to a 40 TOPS laptop with 270 GB/s on tokens/sec every time.
Related questions
Is 40 TOPS good enough in 2026?
Yes for Copilot+ and everyday AI features. It is the certification floor, and most shipping AI PCs are at 45–50 TOPS.
Does more TOPS mean faster ChatGPT-style local models?
No — local LLM generation is memory-bandwidth-bound. Check our tokens/sec benchmarks instead of TOPS.
Why do vendors quote different TOPS for similar chips?
Different precisions (INT8 vs INT4) and burst vs sustained clocks. We normalize to same-precision numbers in our benchmarks.
Go deeper
Verified against our benchmark dataset and testing methodology. Facts as of 2026-09-27.