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Audio-visual understanding on Audio-visual understanding evaluation suite (test)

46.7WorldSense ScoreFull tokens
38.06840.30942.5544.791May 19, 2026

Evaluation results

MethodLinks
Full tokensR (Rv-Ra)=100 (100-100), TFLOPs=111.0, Model=Qwen2.5-Omni-7B2026.0546.76434.165.333.348.7
SEATSR (Rv-Ra)=35 (30-65), TFLOPs=36.7, Model=Qwen2.5-Omni-7B2026.0546.262.13566.836.249.3
DivPrune-omR (Rv-Ra)=35 (30-65), TFLOPs=37.4, Model=Qwen2.5-Omni-7B2026.0545.459.734.766.335.448.3
SEATSR (Rv-Ra)=25 (20-55), TFLOPs=26.5, Model=Qwen2.5-Omni-7B2026.0545.360.934.766.535.748.6
OmniZipR (Rv-Ra)=35 (30-65), TFLOPs=38.2, Model=Qwen2.5-Omni-7B2026.0545.260.434.566.334.748.2
VisionZip-omR (Rv-Ra)=35 (30-65), TFLOPs=37.4, Model=Qwen2.5-Omni-7B2026.0545.260.234.666.335.448.3
DivPruneR (Rv-Ra)=35 (24-100), TFLOPs=37.4, Model=Qwen2.5-Omni-7B2026.0544.860.733.966.135.748.2
RandomR (Rv-Ra)=35 (30-65), TFLOPs=37.4, Model=Qwen2.5-Omni-7B2026.0544.659.734.16534.947.7
FastVIDR (Rv-Ra)=35 (24-100), TFLOPs=37.1, Model=Qwen2.5-Omni-7B2026.0544.659.834.665.435.848.1
VisionZipR (Rv-Ra)=35 (24-100), TFLOPs=37.4, Model=Qwen2.5-Omni-7B2026.0544.560.633.666.235.348
DivPrune-omR (Rv-Ra)=25 (20-55), TFLOPs=27.6, Model=Qwen2.5-Omni-7B2026.0544.559.234.566.235.448
DyCokeR (Rv-Ra)=35 (24-100), TFLOPs=37.7, Model=Qwen2.5-Omni-7B2026.0544.459.934.66634.747.9
VisionZip-omR (Rv-Ra)=25 (20-55), TFLOPs=27.6, Model=Qwen2.5-Omni-7B2026.0544.458.333.765.434.747.3
SEATSR (Rv-Ra)=15 (10-45), TFLOPs=17.3, Model=Qwen2.5-Omni-7B2026.0544.158.733.76634.647.4
FastVR (Rv-Ra)=35 (24-100), TFLOPs=38.3, Model=Qwen2.5-Omni-7B2026.0543.759.634.765.234.847.6
SEATSR (Rv-Ra)=10 (6-35), TFLOPs=12.2, Model=Qwen2.5-Omni-7B2026.0543.557.833.664.635.146.9
FastVIDR (Rv-Ra)=25 (12-100), TFLOPs=27.0, Model=Qwen2.5-Omni-7B2026.0543.458.533.864.334.847
FastV-omR (Rv-Ra)=35 (30-65), TFLOPs=38.3, Model=Qwen2.5-Omni-7B2026.0543.358.734.465.634.347.2
DivPruneR (Rv-Ra)=25 (12-100), TFLOPs=27.6, Model=Qwen2.5-Omni-7B2026.0543.259.734.365.335.947.7
RandomR (Rv-Ra)=25 (20-55), TFLOPs=27.6, Model=Qwen2.5-Omni-7B2026.054357.333.564.234.646.5
VisionZip-omR (Rv-Ra)=15 (10-45), TFLOPs=17.6, Model=Qwen2.5-Omni-7B2026.054357.133.663.133.846.1
OmniZipR (Rv-Ra)=25 (25-25), TFLOPs=23.9, Model=Qwen2.5-Omni-7B2026.0542.755.532.2663446.1
FastVR (Rv-Ra)=25 (12-100), TFLOPs=28.3, Model=Qwen2.5-Omni-7B2026.0542.456.533.462.833.845.8
VisionZipR (Rv-Ra)=25 (12-100), TFLOPs=27.6, Model=Qwen2.5-Omni-7B2026.0542.459.734.464.134.547
DivPrune-omR (Rv-Ra)=15 (10-45), TFLOPs=17.6, Model=Qwen2.5-Omni-7B2026.0542.457.63364.434.446.4
VisionZip-omR (Rv-Ra)=10 (6-35), TFLOPs=12.8, Model=Qwen2.5-Omni-7B2026.0541.852.833.460.734.444.6
FastV-omR (Rv-Ra)=25 (20-55), TFLOPs=28.3, Model=Qwen2.5-Omni-7B2026.0541.656.13363.432.745.4
DivPrune-omR (Rv-Ra)=10 (6-35), TFLOPs=12.8, Model=Qwen2.5-Omni-7B2026.0541.355.133.563.434.845.6
RandomR (Rv-Ra)=15 (10-45), TFLOPs=18.0, Model=Qwen2.5-Omni-7B2026.0540.455.732.763.432.845
RandomR (Rv-Ra)=10 (6-35), TFLOPs=12.8, Model=Qwen2.5-Omni-7B2026.0539.25231.660.432.943.2
FastV-omR (Rv-Ra)=15 (10-45), TFLOPs=24.3, Model=Qwen2.5-Omni-7B2026.0538.451.831.258.831.242.3