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Jetson Orin Nano 4GB: 6 benchmark rows, 100% measured.

Method v1.4.1 · dataset 2026-09-16 · verified 2026-09-16 · last updated September 2026

6 of 6 rows are measured and published (class C); the rest are EdgeAIStack-derived (class D). 1 model families. Precisions: FP16 (3), INT8 (3). Runtimes: tensorrt (6). Tasks: detection (6). This is a reference platform in the benchmark database only; no other EdgeAIStack engine sizes it.

Family × precision: best value

The fastest matching row per family and precision (fps, or tokens/s for language models), with its evidence class. Click a cell for the full breakdown.

FamilyFP16INT8
YOLOv837 fps C48 fps C

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