Hacker News· albinstman·· 22 天前AI 评分38
Llmspeed：买硬件前先感受本地 LLM 跑多快
Show HN: Llmspeed – feel how fast a local LLM runs before you buy the hardware
AI 摘要
Llmspeed 上线，可按硬件和模型两个维度查询本地 LLM 在短提示词下的推理速度，覆盖 RTX 3090/4090/5090、Mac Studio M5 Ultra、DGX Spark、Strix Halo 等设备与 Qwen 3.8、GLM-5.3、Gemma 4、GPT-OSS、DeepSeek V4 等模型。
正文 · 原文
Browse by hardware
- NVIDIA RTX 3090 24GB
- AMD Ryzen AI Max+ 395 128GB (Strix Halo)
- NVIDIA RTX 5090 32GB
- AMD Radeon AI PRO R9700 32GB
- NVIDIA RTX 4090 24GB
- Mac Studio M5 Ultra 256GB
- MacBook Pro M5 Max 128GB
- NVIDIA DGX Spark 128GB
- NVIDIA RTX 5060 Ti 16GB
- NVIDIA RTX PRO 6000 96GB
- Mac Studio M5 Ultra 512GB
- NVIDIA Tesla V100 32GB
- Intel Arc Pro B70 32GB
- AMD RX 7900 XTX 24GB
- NVIDIA RTX 5070 Ti 16GB
- NVIDIA RTX Spark N1X 128GB (laptop)
- AMD Ryzen AI Max+ PRO 495 192GB (Gorgon Halo)
- NVIDIA RTX 3060 12GB
- NVIDIA RTX 5080 16GB
- Mac Studio M3 Ultra 512GB
- Mac mini M5 Pro 64GB
- AMD Instinct MI50 32GB
- MacBook Pro M5 Pro 48GB
- Mac Studio M4 Max 128GB
- AMD RX 9070 XT 16GB
- AMD RX 7900 XT 20GB
- CPU-only (Ryzen 9 9950X, 96GB DDR5)
- MacBook M4 Pro 24GB
- H100 80GB (cloud)
- H200 141GB (cloud)
Browse by model
- Qwen 3.6/3.8 27B
- Qwen 3.8 Flash-Next
- GLM-5.3 Flash
- Gemma 4 26B A4B
- GPT-OSS 20B
- Qwen 3.5/3.6 35B A3B
- Gemma 4 31B
- Qwen 3.5 9B
- DeepSeek V4 Flash
- DeepSeek V4.1 Flash
- GPT-OSS 120B
- Llama 3.1 8B
- Gemma 4 12B
- GLM-5.3
- Nemotron 3.5 Lightning 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 · llmspeed.dev
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