update results after benchmarking

README.md

@@ -88,12 +88,12 @@ Please open an issue or PR if you need other integrations.
 ## Performance
 
 This library offers a speed up when compared to PointCloudLibrary (PCL) conversions but the specific factor depends heavily on the use case and system.
-The `_vec` conversions are on average ~7.5x faster than PCL while the single core iteration `_iter` functions are around 2x faster.
-Parallelization with `_par_iter` gives a 10.5x speed up compared to an OpenMP accelerated PCL pipeline.
+The `_vec` conversions are on average ~6x faster than PCL while the single core iteration `_iter` functions are around ~2x faster.
+Parallelization with `_par_iter` gives a ~9x speed up compared to an OpenMP accelerated PCL pipeline.
 
-The results are measured with benchmarks in this [repository](https://github.com/stelzo/ros_pcl_conv_bench) and are evaluated on a i7-14700.
+The results are measured on an Intel i7-14700 with benchmarks from [this repository](https://github.com/stelzo/ros_pcl_conv_bench).
 
-For minimizing the ROS overhead, always use the functions that best fit your use case.
+For minimizing the conversion overhead in general, always use the functions that best fit your use case.
 
 ## License
 

src/lib.rs

@@ -10,9 +10,10 @@
 //! - [`PointCloud2Msg::try_from_iter`]
 //! - [`PointCloud2Msg::try_into_iter`]
 //!
-//! These feature predictable but [slightly worse](https://github.com/stelzo/ros_pointcloud2?tab=readme-ov-file#performance) performance while avoiding memory allocations.
+//! These feature predictable performance but they do not scale well with large clouds. Learn more about that in the [performance section](https://github.com/stelzo/ros_pointcloud2?tab=readme-ov-file#performance) of the repository.
+//! The iterators are useful when your conversions are more complex than a simple copy or you the cloud is small enough.
 //!
-//! Use the parallel iterator for processing-heavy tasks.
+//! When the cloud is getting larger or you are doing a lot of processing per point, switch to the parallel iterators.
 //! - [`PointCloud2Msg::try_into_par_iter`] requires `rayon` feature
 //! - [`PointCloud2Msg::try_from_par_iter`] requires `rayon` + `derive` feature
 //!