PulseAugur
中
实时 20:54:40
English(EN) Qwen3.8-27B thinking xhigh Vs. thinking off - Apple M5 Max

Qwen3.8-27B 在 Apple M5 Max 上的性能测试

作者 PulseAugur 编辑部 · [1 个来源] ·

一位用户在 Apple M5 Max 芯片上对 Qwen3.8-27B 模型进行了基准测试，比较了“thinking on xhigh”与“thinking off”两种模式下的性能。开启“thinking on xhigh”模式后，处理的 token 数量增加了 5.5 倍，运行时长增加了 6 倍。禁用“thinking”功能显著影响了输出质量，使得模型在每秒 token 处理速度方面落后于 Qwen3.6-35B-A3B 等其他模型。 AI

影响 提供了大型语言模型在消费级硬件上性能权衡的见解。

排序理由 用户在消费级硬件上对特定模型版本的基准测试。[lever_c_demoted from research: ic=1 ai=1.0]

在 r/LocalLLaMA 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

Qwen3.8-27B 在 Apple M5 Max 上的性能测试

本文如何被排名

Signal score
11 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
用户在消费级硬件上对特定模型版本的基准测试。[lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
model release
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

报道来源 [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/DerTomsn ·

    Qwen3.8-27B 思考 xhigh 对比 思考 off - Apple M5 Max

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1w1vbal/qwen3827b_thinking_xhigh_vs_thinking_off_apple_m5/"> <img alt="Qwen3.8-27B thinking xhigh Vs. thinking off - Apple M5 Max" src="https://preview.redd.it/6r1pv2gm1dmh1.png?width=640&amp;crop=smart&amp;au…

相关实体

相关话题