Hello everyone,
I’m using a Jetson Orin NX 16GB with a custom dataset, deployed with DeepStream, TensorRT, and INT8. Which model do you recommend, YOLO11 or YOLO26, and which size (l or x)?
Thanks!
Hello everyone,
I’m using a Jetson Orin NX 16GB with a custom dataset, deployed with DeepStream, TensorRT, and INT8. Which model do you recommend, YOLO11 or YOLO26, and which size (l or x)?
Thanks!
You can try YOLO26l. We have speed benchmarks on our docs for different model sizes:
Thank you!
You’re welcome! Benchmark the final INT8 engine in your actual DeepStream pipeline, as input resolution, stream count, preprocessing, and tracking can significantly affect end-to-end performance. If you encounter issues, share your JetPack, TensorRT, DeepStream, and Ultralytics versions along with the logs.
You’re welcome! Good luck with the deployment, and feel free to share your results or any issues you encounter.