There is renewed interest in high-performance low field imaging, especially for applications that are limited by susceptibility and SAR, such as cardiac CINE bSSFP imaging. Here, we demonstrate a framework for realistic simulation of 3D CINE bSSFP cardiac imaging at various field strengths. This is benchmarked against in-vivo data acquired on a high-performance 0.55 Tesla MRI. We utilize the XCAT phantom, 3D stack of spiral sampling, and realistic noise. This setup can be used to predict minimum field strength requirements and to test data sampling and reconstruction techniques.