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Initial release: 117 builds, 298 measured results (2026-10-24)
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metadata
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.

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.