RBDash-v1.5: benchmark results

Provider: Other.

Aggregate Rating 1542 ± 32, rank #1820 of 10916 rated models, from 421 benchmark results.

Strongest benchmark results

BenchmarkScoreMetricPercentile
OpenVLM MMT-Bench - Sketch-to-Image Retrieval100Score (%)100
OpenVLM MMT-Bench - Temporal Anticipation95Score (%)100
OpenVLM Q-Bench - What (Others)88.4Accuracy (%)99.4
OpenVLM MMT-Bench - Anatomy Identification90Score (%)99.3
OpenVLM MMT-Bench - Transparent Object Detection90Score (%)99
OpenVLM A-Bench - Generative Distortion71.2Accuracy (%)98.4
OpenVLM A-Bench79.4Accuracy (%)97.8
OpenVLM A-Bench - Attribute Awareness96.4Accuracy (%)97.8
OpenVLM SEEDBench IMG - Instances Counting74.3Accuracy (%)97.8
OpenVLM Q-Bench - What (Distortion)81.3Accuracy (%)97.2
OpenVLM MMT-Bench - One Shot Detection90Score (%)96.8
OpenVLM MMT-Bench - Single Object Tracking75Score (%)96.6

Interactive version: theaggregate.ai/model?slug=rbdash-v1-5 · How It Works · Data refreshed daily, snapshot 2026-11-08.