FLOPs numbers are inconsistent

### Bug description The FLOPs numbers in [throughput.py](https://github.com/Lightning-AI/pytorch-lightning/blob/master/src/lightning/fabric/utilities/throughput.py) for H100 and H200 GPUs have some inconsistencies that have caused me some confusion when switching between GPU types: - all H200 and the H100 NVL GPU seem to be using sparse FLOPs numbers - the H100 SXM and PCIE models seem to using dense FLOPs, see: https://resources.nvidia.com/en-us-gpu-resources/h100-datasheet-24306 I think it would be good to standardize on one and also document the behaviour as there's a factor 2 difference between the two. ### What version are you seeing the problem on? master ### Reproduced in studio _No response_ ### How to reproduce the bug ```python ``` ### Error messages and logs ``` # Error messages and logs here please ``` ### Environment <details> <summary>Current environment</summary> ``` #- PyTorch Lightning Version (e.g., 2.6.0): #- PyTorch Version (e.g., 2.5): #- Python version (e.g., 3.12): #- OS (e.g., Linux): #- CUDA/cuDNN version: #- GPU models and configuration: #- How you installed Lightning(`conda`, `pip`, source): ``` </details> ### More info _No response_ cc @ethanwharris