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Benchmarks
Multimodal Model Evaluation on MMBench EN
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83.9
Accuracy
Qwen2.5-VL-7B
72.876
75.738
78.6
81.462
Jul 2, 2026
Accuracy
Average Accuracy
Updated 23d ago
Evaluation Results
Method
Method
Links
Accuracy
Average Accuracy
Qwen2.5-VL-7B
Retain Tokens=1296, Re...
2026.07
83.9
84
DivPrune
Retain Tokens=512, Ret...
2026.07
81.7
78.1
EADP
Retain Tokens=512, Ret...
2026.07
81.6
78
DivPrune
Retain Tokens=256, Ret...
2026.07
80.5
73.6
HiPrune
Retain Tokens=512, Ret...
2026.07
80.3
75.9
EADP
Retain Tokens=256, Ret...
2026.07
80.2
74.3
CDPruner
Retain Tokens=512, Ret...
2026.07
79.6
71.6
HiPrune
Retain Tokens=256, Ret...
2026.07
78.4
69.4
EADP
Retain Tokens=128, Ret...
2026.07
78.4
68.4
CDPruner
Retain Tokens=256, Ret...
2026.07
77.6
65
DivPrune
Retain Tokens=128, Ret...
2026.07
77.4
66.4
HiPrune
Retain Tokens=128, Ret...
2026.07
75
62.3
CDPruner
Retain Tokens=128, Ret...
2026.07
73.3
58.2
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