In this poster, we propose a new RO-Crate profile designed to enhance reproducibility in computational experiments. The proposed Workflow Run Performance Profile addresses the need for detailed metadata in computational research, focusing on metrics such as memory usage, CPU cores, and execution times for each task within a computational workflow. This profile aims to augment the documentation of computational efficiency, facilitating resource optimization and scalability, particularly in cloud environments where resource usage directly impacts costs. The poster emphasizes on the importance of reproducibility in scientific research and how the new profile will capture crucial computational metrics, improving transparency and enabling precise replication of experiments. The initiative is part of the TIER2 project, funded by the European Union's Horizon Europe research and innovation program.