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英特尔Lunar Lake深度评测：轻薄本有救了！

极客湾Geekerwan · 197.7K views · 2024-10-02 · 21:52

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Overview

Geekerwan's Chinese-language review of Intel's Lunar Lake lightweight laptop chip, covering performance, perf-per-watt curves and battery life benchmarks. It tests whether x86 can compete on efficiency.

On Hacker News

HN uses it as a benchmark source in debates over whether x86 can match Apple Silicon efficiency, particularly the Lunar Lake vs M3 comparison.

Recommended by 1 HN people across 1 months · HN mentions 2024–2025

Topics

Computer architecture & CPUsConsumer devices & gadgets
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lunar lakeintelapple m3performance per wattbattery life

What people said

txrx0000 · 2025-08 · Recommendation

There is an M-series competitor from Intel that was released last year, codename Lunar Lake. Here's a video about it. Skip to 4:55 for battery life benchmarks. [VIDEO]

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txrx0000 · 2025-09 · Reference

It's not the ISA. Modern Macbooks are power-efficient because they have: - RAM on package - PMIC power delivery - Better power management by OS Geekerwan investigated this a while ago, see: [LINK] [LINK] [VIDEO] Intel and AMD have implemented these improvements with Lunar Lake and Strix Halo. You can buy an x86 laptop with Macbook-like efficiency right now if you know which SoCs to pick. edit: Correction. I looked at the die image of Strix Halo and thought it looked like it had on-package RAM. It does not. It doesn't use PMIC either. Lunar Lake is the only Apple M-series competitor on x86 at the moment.

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txrx0000 · 2025-09 · Reference

I suspect the throttling behavior has to more do with the power settings used during testing or OEM tuning on specific models. [VIDEO] In this video, they show the perf/watt curves at 8:30. And they show the on-battery vs on-wall performance at 18:35 across a wide variety of benchmarks, not just Geekbench. They used a Lenovo YOGA Air 15 on Window 11's "Balanced" power plan for their tests. The narrator specifically noted the Macbook-like on-battery performance.

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Sources

Video by 极客湾Geekerwan, played through YouTube.

Data and selection notes

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HN Library: HackerTube export (2026-10-31) and open-index/hacker-news. Upstream summaries and classifications may contain AI errors.

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