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Benchmarks

Local LLM Benchmarks: Methodology and Results

Local LLM benchmark hub: how we will test tokens per second across GPUs and mini PCs, and theoretical bandwidth ceilings meanwhile.

Last updated21 Oct 2026
Fact-checked21 Oct 2026
Sources cited—
StandardsEditorial policy →

Measured results: TBD. We will add a row only when we have run the test ourselves or can cite a reproducible public run.

Planned method

  • llama.cpp release noted per run; same GGUF file per model
  • Prompt processing and generation tokens/s at fixed context
  • Power draw where measurable

Theoretical ceilings (not benchmarks)

HardwareBandwidthCeiling: 8B Q4Ceiling: 70B Q4
GeForce RTX 50901792 GB/s~366 tok/s~41 tok/s (does not fit)
GeForce RTX 40901008 GB/s~206 tok/s~23 tok/s (does not fit)
GeForce RTX 5080960 GB/s~196 tok/s~22 tok/s (does not fit)
NVIDIA DGX Spark (128GB)273 GB/s~56 tok/s~6 tok/s
GMKtec EVO-X2 (128GB / 1TB)256 GB/s~52 tok/s~6 tok/s
Mac Studio (M5 Max 40-core GPU, 128GB)614 GB/s~125 tok/s~14 tok/s