On a laptop, does the 7945HX3D's 128MB of L3 actually pay off for interactive local AI models?

  The 7945HX3D's 128MB of L3 is built for ask-and-answer workloads: quantized small-model weights can sit whole inside the cache, batch-1 token latency drops measurably, and a 16-core/32-thread laptop turns into a comfortable local assistant or code-completion box. Grow the model or switch to batched throughput and the cache edge fades, with dual-channel memory bandwidth taking over the pacing.

  For interactive feel alone it earns the money; for throughput or bigger residency the 64MB memory ceiling is the actual wall. Ask not how big the cache is but whether you want interaction or throughput — the former gets rare laptop-grade material here, the latter should look away. The power wall is still present, and marathon full loads will claw the clocks back.