llmspeed

What is llmspeed?

llmspeed helps users check how fast a local language model will run on their specific computer before they purchase equipment. You select a hardware setup and an AI model, and the tool shows estimated tokens per second and time to first token. The estimates cover a wide range of devices, including NVIDIA and AMD graphics cards, Apple Silicon Macs, and CPU-only systems.

The data comes from community benchmarks and official specifications. Some measurements are taken directly from sources like r/LocalLLaMA and localscore.ai, while other figures are calculated or projected based on similar hardware configurations. The tool focuses on short prompt responses on a single device.

The project is completely free to use and its source code is publicly available on GitHub. Users can browse supported models such as Qwen, Llama, Gemma, and DeepSeek to find performance projections that match their intended setup.

llmspeed features

• Compare local LLM performance across different hardware setups
• View simulated tokens per second and time-to-first-token estimates
• Browse verified community benchmarks for GPUs, Macs, and CPUs
• Filter models like Qwen, Llama, Gemma, and DeepSeek by device
• Access open source code on GitHub

Who uses llmspeed and for what

• Decide which GPU or Mac to buy for running specific open source models locally
• Estimate inference speed for a new model before purchasing hardware
• Compare performance between NVIDIA, AMD, and Apple Silicon chips
• Plan local AI deployment requirements based on token generation speed

llmspeed FAQ

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