Multimodal Understanding on MME (Score, Speed-up)
2,388MME ScoreVanilla
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| VanillaModels=BAGEL-7B, Avg. Tokens=100%2026.05 | 2,388 | — | 100 | |
| VSCANModels=BAGEL-7B, Avg. Tokens=50%2026.05 | 2,339 | — | 94.4 | |
| IVC-PruneModels=BAGEL-7B, Avg. Tokens=50%2026.05 | 2,332 | — | 98.6 | |
| G2TRModels=BAGEL-7B, Avg. Tokens=50%2026.05 | 2,318 | — | 99 | |
| PDropModels=BAGEL-7B, Avg. Tokens=61%2026.05 | 2,312 | — | 94.1 | |
| FastVModels=BAGEL-7B, Avg. Tokens=54%2026.05 | 2,306 | — | 95.8 | |
| W-FastVModels=BAGEL-7B, Avg. Tokens=54%2026.05 | 2,287 | — | 95.6 | |
| VanillaModels=InternVL-U, Avg. Tokens=100%2026.05 | 2,057 | — | 100 | |
| FastVModels=InternVL-U, Avg. Tokens=54%2026.05 | 2,037 | — | 92.9 | |
| G2TRModels=InternVL-U, Avg. Tokens=50%2026.05 | 2,034 | — | 94.9 | |
| IVC-PruneModels=InternVL-U, Avg. Tokens=50%2026.05 | 2,020 | — | 93.7 | |
| VSCANModels=InternVL-U, Avg. Tokens=50%2026.05 | 1,968 | — | 92.2 | |
| PDropModels=InternVL-U, Avg. Tokens=61%2026.05 | 1,953 | — | 92 | |
| W-FastVModels=InternVL-U, Avg. Tokens=54%2026.05 | 1,926 | — | 92.3 | |
| AHD (Ours)2026.04 | 1,075.72 | 15.98 | — | |
| MMaDA2026.04 | 1,074.97 | 1 | — |