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Snapdragon Mini PC Benchmarks Qwen LLMs: 315 Tok/s Prose, 46 Tok/s Code

A user has benchmarked two large language models, Qwen3.6 35B A3B and Qwen3.8 Flash Next, on a dual-setup Snapdragon mini PC. The tests, conducted using a custom engine called ToRc, measured token generation speeds for both prose and code prompts. The Qwen3.6 model achieved 315/43 tokens/sec for reading/generating prose, while the Flash Next model reached 46/20 tokens/sec for reading/generating code. AI

IMPACT Demonstrates the increasing capability of consumer-grade hardware to run sophisticated LLMs locally.

RANK_REASON User-generated benchmark results for LLMs running on consumer hardware.

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Snapdragon Mini PC Benchmarks Qwen LLMs: 315 Tok/s Prose, 46 Tok/s Code

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User-generated benchmark results for LLMs running on consumer hardware.
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product, infra
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1 days old
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COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/WorldlyAd7946 ·

    Q4 flash next for £300/600 👀 - snapdragon mini PC results update - 315/43 Tok/s A3b, 46/20 Tok/s Flash Next (read/gen) 💥

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1xcmioz/q4_flash_next_for_300600_snapdragon_mini_pc/"> <img alt="Q4 flash next for £300/600 👀 - snapdragon mini PC results update - 315/43 Tok/s A3b, 46/20 Tok/s Flash Next (read/gen) 💥" src="https://preview.r…