Hacker News-首页· albinstman·· 9 天前AI 评分61
Llmspeed：购买硬件前体验本地 LLM 运行速度的工具
Show HN: Llmspeed – feel how fast a local LLM runs before you buy the hardware
AI 导读
开发者 albinstman 推出了 Llmspeed 工具，允许用户在购买硬件前浏览和感受不同本地大语言模型在各种硬件配置下的运行速度。该工具支持按 NVIDIA、AMD、Intel 显卡、Mac 及云端算力等硬件以及多种主流模型进行筛选，速度数据结合了社区基准测试与参数推算，并在 GitHub 上开源。
正文 · 原文
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- NVIDIA RTX 3090 24GB
- AMD Ryzen AI Max+ 395 128GB (Strix Halo)
- NVIDIA RTX 5090 32GB
- NVIDIA RTX 4090 24GB
- Mac Studio M5 Ultra 512GB
- MacBook Pro M5 Max 128GB
- NVIDIA RTX 5060 Ti 16GB
- NVIDIA DGX Spark 128GB
- NVIDIA RTX PRO 6000 96GB
- Mac Studio M3 Ultra 512GB
- AMD RX 7900 XTX 24GB
- NVIDIA RTX 3060 12GB
- Mac Studio M4 Max 128GB
- NVIDIA RTX 5070 Ti 16GB
- AMD RX 9070 XT 16GB
- Intel Arc Pro B70 32GB
- Mac Mini M4 Pro 64GB
- AMD Radeon AI PRO R9700 32GB
- NVIDIA RTX 5080 16GB
- MacBook Pro M5 Pro 48GB
- AMD RX 7900 XT 20GB
- NVIDIA RTX 4070 Ti Super 16GB
- MacBook M4 Pro 24GB
- NVIDIA RTX 4070 12GB
- MacBook M3 Max 48GB
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- MacBook M2 Pro 16GB
- H100 80GB (cloud)
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- H200 141GB (cloud)
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- Qwen 3.6/3.8 27B
- GLM-5.3 Flash
- GPT-OSS 20B
- Gemma 4 26B A4B
- Qwen 3.5/3.6 35B A3B
- Ornith 1.5 35B A3B
- DeepSeek V4 Flash
- GPT-OSS 120B
- Gemma 4 31B
- Llama 3.1 8B
- Qwen 3.5 9B
- DeepSeek R1 Distill 14B
- Ornith 1.5 9B
- Muse Glimmer 30B
- Qwen3 30B A3B
Estimates for a short prompt on a single device. Measured numbers come from community benchmarks (r/LocalLLaMA, localscore.ai and more); others are derived from similar setups or projected from specs. Open source on GitHub.
来源：Hacker News-首页 · llmspeed.dev