带着这样的问题，我们再转头看看刚刚发布的三星 Galaxy S26 系列——它的影像或许没有国内大厂在特定场景下那么激进抢眼，但胜在整体素质依然稳健；OneUI 的本地化虽然还有进步空间，但日常用起来也不拖后腿；最重要的是，三星在系统级 AI 的布局上来得非常早，直接拉来了 Gemini 和 Perplexity 强强联手，早早抢占了先机。
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X925’s frontend can sustain 10 instructions per cycle, but strangely has lower throughput when using 4 KB pages. Using 2 MB pages lets it achieve 10 instructions per cycle as long as the test fits within the 64 KB instruction cache. Cortex X925 can fuse NOP pairs into a single MOP, but that fusion doesn’t bring throughput above 10 instructions per cycle. Details aside, X925 has high per-cycle frontend throughput compared to its x86-64 peer, but slightly lower actual throughput when considering Zen 5 and Lion Cove’s much higher clock speed. With larger code footprints, Cortex X925 continues to perform well until test sizes exceed L2 capacity. Compared to X925, AMD’s Zen 5 relies on its op cache to deliver high throughput for a single thread.