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Jetson AGX Orin 32GB: 16 benchmark rows, 6% measured.

Method v1.4.1 · dataset 2026-09-29 · verified 2026-09-16 · last updated September 2026

1 of 16 rows are measured and published (class C); the rest are EdgeAIStack-derived (class D). 3 model families. Precisions: FP16 (10), INT8 (6). Runtimes: tensorrt (16). Tasks: detection (15), pose (1). Jetson AGX Orin 32GB platform page.

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
YOLO11281.6 fps D358.3 fps D
YOLO11322.9 fps C—
YOLOv8271 fps D352 fps D

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