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First-party dataset

Local AI Benchmark Dataset

This is the public home for measured local-AI benchmark rows from Max's owned rigs. The dataset is intentionally empty until real runs land; no estimated tokens/sec or invented power numbers are published here.

Schema version

1

Registered rigs

2

Measured rows

0

Rig registry

apple-silicon

Mac Studio (M2, 32GB unified memory)

Power measurement
wall-meter
OS family
macOS
Chip
Apple M2
Unified memory
32GB

Confirm exact M2 variant (Max/Ultra) and macOS version before the first run.

apple-silicon

Mac Mini (M4)

Power measurement
wall-meter
OS family
macOS
Chip
Apple M4

Confirm unified memory size and macOS version before the first run.

Measured rows

No measured rows published yet.

This is deliberate. Rows will appear only after measured runs record the rig, model, quantization, context length, token counts, runtime, power-measurement point, and run date.

Methodology contract

  • Discrete-GPU and Apple-Silicon rows stay separate and are never averaged together.
  • Every row records prompt tokens, generation tokens, context length, quantization, runtime, OS version, and run date.
  • Power rows must name their measurement point: wall meter, board sensor, powermetrics, or another explicit source.
  • Article claims that cite benchmark rows must carry a matching data-benchmark-id so the build gate can verify the row exists.

Dataset license

Benchmark rows and the JSON dataset download are published under theApache License 2.0. Article text, images, and product photography are not part of that dataset license.