Bandicoot Lab — Smartphone Lab Test Data (Sample)
Lab-measured smartphone test data: raw measurements and computed 0–950 performance scores across display, camera, battery, performance, charging, audio, biometrics, and connectivity.
This sample contains the complete dataset for 3 of 51 devices spanning 10 brands in the full catalog. The three devices were chosen to span the market:
- Samsung Galaxy S25 Ultra — $1,299 flagship (200MP main, dual telephoto)
- Apple iPhone 17 — $799 mainstream flagship
- Motorola Moto G Power (2026) — $300 budget device Each device is measured the same way the full catalog is: per-lens camera sharpness, color, and dynamic range across three lighting conditions; per-patch color accuracy on a 24-patch chart; per-step dynamic range; full per-percent charging curves; speaker frequency-response and distortion sweeps; display brightness, color, and tone-mapping; and more. The three sample devices carry every metric and sub-score the full catalog does — nothing is stripped.
Files
devices(devices.csv) — device specifications, one row per device.scores(device_scores.csv) — every computed score and sub-score, including per-lens camera scores for devices with multiple cameras.test_runs(test_runs.jsonl) — raw per-test measurements with full nested metric detail (per-patch, per-step, per-percent). One row per test run.
Scoring
Scores are computed hierarchically: raw metrics roll up into sub-scores, which roll up into category scores, which combine into an overall device score. This sample publishes the resulting scores and the measurements behind them. The scoring formulas are proprietary and are not included.
Full catalog & licensing
This is an evaluation sample. The full catalog of 51 devices — and commercial licensing for OEMs, analysts, retailers, and AI/ML teams — is available at https://bandicootlab.com.
Contact: christian@bandicootlab.com
License
Evaluation and research use only. No commercial use. No redistribution.
Commercial licensing is available — see the link above. Full terms in LICENSE.
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