Worked on the Tencent/ncnn repository to enhance GPU benchmarking reliability, focusing on compatibility issues encountered with int8 models. Addressed a critical bug by implementing logic to skip GPU benchmarking for int8 models, thereby preventing execution errors and improving the stability of benchmarking workflows. Synchronized the codebase with upstream changes to maintain alignment and reduce future integration challenges. Utilized C++ for development, leveraging expertise in GPU programming and performance benchmarking to ensure robust production deployments. The work emphasized careful integration and targeted problem-solving, resulting in a more dependable GPU benchmarking path without introducing new features during the development period.