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Multimodal Understanding on Opencompass Image Benchmark (val)

84MMBench AccuracySAIL-VL1.6-8B
80.46481.38282.383.218Apr 13, 2026

Evaluation results

MethodLinks
SAIL-VL1.6-8B2026.048469.555.474.290.587.554.473.373.6
Ovis2-8B2026.0483.664.657.471.889.186.656.365.171.8
InternVL2.5-8B2026.0482.563.256.264.582.184.64962.868.1
Qwen2.5-VL-7B2026.0482.264.15868.188.884.351.969.770.9
InternVL3-8B2026.0482.168.762.270.588.485.14982.873.6
POINTS-LongEvaluation Mode=focus2026.0482.166.153.770.685.584.248.366.769.7
POINTS-LongEvaluation Mode=focus, Token Pruning/Compression Method=Attn-prune, Compression Ratio=50%2026.048264.552.46983.584.247.266.768.7
POINTS1.5-8BEvaluation Mode=baseline2026.0481.965.753.270.985.883.950.164.769.5
POINTS-LongEvaluation Mode=focus, Token Pruning/Compression Method=Folder, Compression Ratio=50%2026.0481.56452.76475.583.549.164.966.9
Qwen2-VL-7B2026.048160.753.761.684.38350.461.867.1
POINTS-LongEvaluation Mode=focus, Token Pruning/Compression Method=Avg-pooling, Compression Ratio=50%2026.0480.762.25364.675.183.848.565.566.7
MiniCPM-o-2.62026.0480.663.350.973.388.986.151.167.270.2