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Initial release: 117 builds, 298 measured results (2026-10-24)
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---
license: cc-by-4.0
pretty_name: RigBase - measured local LLM speeds on home AI hardware
language:
- en
tags:
- llm
- benchmark
- gpu
- local-llm
- llama.cpp
- hardware
- tokens-per-second
size_categories:
- n<1K
configs:
- config_name: default
data_files: builds.csv
---
# RigBase: measured local-LLM speeds on real home hardware
117 real home AI builds and 298 measured results across 48 models (Qwen3.8, Qwen3.6, Gemma 4, gpt-oss, Nemotron, DeepSeek and more), on NVIDIA, AMD, Intel, Apple Silicon, Strix Halo and DGX Spark. Snapshot: 2026-10-24.
Every row links to its original public source (GitHub discussions, Reddit, llama-bench databases, blogs, YouTube). RigBase collects and normalises these numbers; it does not re-measure them.
- Website: https://getrigbase.com
- Always-current download: https://getrigbase.com/data/ (builds.csv, builds.json)
- Submit a build: https://getrigbase.com/submit/
## Files
- `builds.csv`: one row per measured result (298 rows).
- `builds.json`: one object per build with its parts and a list of results.
## Columns (builds.csv)
| column | meaning |
|---|---|
| build_slug, build_title | build id and name; page at page_url |
| gpus, vram_gb | GPU(s) or chip, total VRAM / unified memory in GB |
| cpu, ram, power | host parts and reported power draw (free text) |
| model, quant, engine | model, quantization, inference engine as reported |
| tps | generation (decode) speed, tokens/sec |
| spec_decode | `none`, or the speculative-decoding method (MTP, draft model, etc.) |
| prefill_tps, context | prompt-processing speed and context length, where reported |
| how_measured, status | measurement notes and status |
| source_checked_by_rigbase | whether RigBase re-checked the number against the source |
| source | URL of the original public measurement |
| page_url | RigBase page for the build |
## Caveats
- Numbers come from different people, engines, quants and settings. Compare rows from the same source when you compute ratios.
- Results with speculative decoding are marked in `spec_decode`; filter them out for plain decode speed.
## License and citation
CC BY 4.0. Please credit "RigBase (getrigbase.com)" and link the original sources where you use individual numbers.