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NVIDIA T4 (server): 17 benchmark rows, 100% measured.

Method v1.0 · dataset 2026-09-07 · verified 2026-09-07 · last updated September 2026

17 of 17 rows are measured and published (class C); the rest are EdgeAIStack-derived (class D). 5 model families. Precisions: FP16 (17). Runtimes: tensorrt (17). Tasks: detection (13), pose (2), segmentation (2). 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.

FamilyFP16
RT-DETR114 fps C
YOLO11666.7 fps C
YOLO11588.2 fps C
YOLO11555.6 fps C
YOLOv10543.5 fps C

Every model on NVIDIA T4 (server)

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