MLLM Performance
how about image and video understanding performance.
Hi @Ivy1997 ,
Apologies for the late reply, The gemma-3n-E4B-it-litert-preview model is indeed a Multimodal Large Language Model (MLLM) that has been specifically optimized for image and video understanding, and its performance is a core design feature.
The model uses a highly optimized vision encoder, a scaled-up version of MobileNet-V5. This encoder is co-trained on extensive multimodal datasets to enable broad visual understanding. It can process images at multiple resolutions (256x256, 512x512, and 768x768), allowing developers to balance performance and detail based on their specific application and hardware. This makes it very effective for tasks like visual question answering, object recognition, and document analysis.
The model handles video by processing it as a series of image frames and accompanying audio clips. It can analyze this stream of information to understand human interactions, spatial relationships, and other dynamic content.
If you want to more information Kindly refer this doc.
Thank you.
I can not open this doc, and Do we have performance on some benchmark like gemini-2.5-pro report.
Hi @Ivy1997 ,
Yes, there is performance data available for gemma-3n-E4B-it-litert-preview on common benchmarks, which can be used to compare it against models like Gemini 2.5 Pro, though they serve different primary use cases.
Gemma 3n E4B has been evaluated across language understanding, reasoning, multilingual capabilities, and code generation. On the LMArena benchmark, it achieved a score above 1300 Elo points (LMArena benchmark).
Kindly refer this document for more information. if you have any concerns let us know will assist you.
Thank you.