# Latency Analysis on LVLM generation 256 tokens Source: [Latency Analysis on LVLM generation 256 tokens]() Collection index: [llms.txt]() Data updated: 2026-02-26T05:36:12.026Z Evaluation of latency performance for a Large Vision-Language Model (LVLM) when generating output based on a 256-token input context, measured by average generation time. A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage. | Scope | Recorded value | | --- | --- | | Task | Latency Analysis | | Dataset (including any stated split) | LVLM generation 256 tokens | | Metric | Avg Generation Latency (s) | | Unit | TIME | | Direction | Lower is better | | Results loaded | 0 of 0 | | Coverage | All results currently returned for this benchmark | Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol. ## Metrics - [Avg Generation Latency (s)](): Lower is better; unit: TIME. ## Recorded results | Method | Avg Generation Latency (s) | Result date | Report paper | | --- | --- | --- | --- | Page 1 of 1. This is an index page, not the full collection.