update readme

README.md

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 ## IV. Evaluation Results
 
 MiMo-Embodied demonstrates superior performance across **17 benchmarks in three key embodied AI capabilities: Task Planning, Affordance Prediction, and Spatial Understanding**, significantly surpassing existing open-source embodied VLM models and rivaling closed-source models.
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 Additionally, MiMo-Embodied excels in **12 autonomous driving benchmarks across three key capabilities: Environmental Perception, Status Prediction, and Driving Planning**—significantly outperforming both existing open-source and closed-source VLM models, as well as proprietary VLM models.
 
+Moreover, evaluation on **8 general visual understanding benchmarks** confirms that MiMo-Embodied retains and even strengthens its general capabilities, showing that domain-specialized training enhances rather than diminishes overall model proficiency.
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 ### Embodied AI Benchmarks
 
 ####  Affordacne & Planning
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   <img src="./assets/table5.png" width=800>
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+### General Visual Understanding Benchmarks
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+<div align="center">
+  <img src="./assets/table8.png" width=800>
+</div>
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 > Results marked with \* are obtained using our evaluation framework.