SHIFT: A High-Fidelity Benchmark Suite For 3D Industrial Fluid Dynamics

A majority of investigations involving fluid flow across science and engineering utilize Computational Fluid Dynamics (CFD) to simulate these flows. Traditional CFD is computationally expensive, driving interest in fast neural surrogates. However, existing benchmarks provide limited coverage of the combination of high-fidelity 3D geometries, complex flow physics and engineering quantities needed to systematically evaluate geometry-aware models in industrial settings. We introduce the SHIFT (Simulation for High Fidelity Training) benchmark suite, providing thousands of high-fidelity simulation results. Featuring both transient Delayed Detached Eddy Simulations (DDES) and steady Reynolds Averaged Navier Stokes (RANS) simulations for external aerodynamics, developed in partnership with domain experts and validated against experimental measurements for surface and flow quantities, SHIFT provides a standardized evaluation framework with predefined In-Distribution and Out-Of-Distribution sets to assess generalization to unseen geometries. Additionally, we report evaluations from several recent neural operator models, such as AB-UPT, DoMINO, Transolver, GeoTransolver; across engineering quantities of interest and provide baseline results that characterize the capabilities and limitations of these models.