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NVIDIA V100 (server): 5 benchmark rows, 100% measured.

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

5 of 5 rows are measured and published (class C); the rest are EdgeAIStack-derived (class D). 1 model families. Precisions: FP32 (5). Runtimes: tensorrt (5). Tasks: detection (5). 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.

FamilyFP32
EfficientDet97 fps C

Every model on NVIDIA V100 (server)

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