| --- |
| license: cc-by-4.0 |
| language: |
| - en |
| pretty_name: llm-speed inference-speed benchmarks |
| tags: |
| - llm |
| - inference |
| - benchmark |
| - gpu |
| - apple-silicon |
| - tokens-per-second |
| size_categories: |
| - n<1K |
| configs: |
| - config_name: default |
| data_files: |
| - split: runs |
| path: runs.csv |
| --- |
| |
| # llm-speed: signed LLM inference-speed benchmarks |
|
|
| Crowdsourced, cryptographically signed measurements of how fast large language models |
| actually run: decode tokens per second, time to first token, and latency, across consumer |
| GPUs, Apple Silicon, and hosted APIs, under one reproducible workload suite (suite-v1). |
|
|
| - **Live data and bulk downloads:** https://llm-speed.com/data |
| - **Per-run permalink:** https://llm-speed.com/r/<id> |
| - **Methodology:** https://llm-speed.com/methodology |
| - **DOI:** https://doi.org/10.5281/zenodo.21254813 (Zenodo archive; resolves to the latest version) |
| - **License:** CC BY 4.0. Reuse freely, including commercially, with attribution and a link back. |
|
|
| ## What is in it |
|
|
| Each row is the headline result of one signed benchmark run. |
|
|
| | column | meaning | |
| | --- | --- | |
| | `id` | the run id | |
| | `permalink` | citable page for the run on llm-speed.com | |
| | `suite_version` | workload suite version (currently suite-v1) | |
| | `top_model_name` | model that was measured | |
| | `top_backend` | ollama, llama.cpp, mlx, vllm, exllamav2, and so on | |
| | `top_workload` | which workload produced the headline number | |
| | `accelerator_summary` | the GPU or Apple Silicon plus host | |
| | `top_decode_tps` | headline decode tokens per second | |
| | `received_at` | when the run was submitted | |
|
|
| Full per-workload detail (prefill tok/s, TTFT, quantization, percentiles) for any run is at |
| `https://llm-speed.com/r/<id>` and via the live API at |
| `https://api.llm-speed.com/v1/results/<id>`. Files: `runs.csv`, `runs.jsonl`, `runs.json`, |
| plus `meta.json` (counts and generation timestamp). |
|
|
| ## How it is measured |
|
|
| Every run is produced by the open-source llm-speed CLI under the suite-v1 workload set, |
| fingerprinted to real hardware, and cryptographically signed on upload (EdDSA/JWS) so a |
| number cannot be edited after the fact. The values are measured, not modeled. If two rows |
| disagree for the same model and hardware, both are real submissions from different setups; |
| open each permalink to see the raw workload detail. |
|
|
| ## Citation |
|
|
| ``` |
| llm-speed. The llm-speed dataset: signed LLM inference-speed benchmarks. |
| Zenodo (2026). https://doi.org/10.5281/zenodo.21254813. CC BY 4.0. |
| ``` |
|
|
