Following a previous benchmark study, we compared performance of Sage 2.0.0 to earlier generation OpenFF force fields, as well as general small molecule force fields. Specifically, we use a set of QM optimized conformer geometries and energies to assess how well we can reproduce conformer energetics and geometries with MM parameters. A much larger dataset of QM-optimized gas-phase geometries, named "OpenFF Industry Benchmark Season 1 v1.1" on QCArchive, is now used for benchmarking MM optimized geometries. We built this dataset in collaboration with our industry partners to benchmark force fields more generally, and it consists of nearly 9847 unique molecules, and a total of 76713 conformers. The dataset also has a wider distribution of charged entities than our training set, including formal charges of [-2, -1, 0, 1, 2]. The mean molecular weight of the molecules is 348 Dalton, and a maximum molecular weight is 1104 Dalton, which shows the dynamic range of molecular size. This dataset is generated at B3LYP-D3BJ/DZVP, the same level of theory as our training data. Following conformer generation and geometry optimization, we processed this dataset to filter out connectivity changes during optimization, cases with stereochemistry which cannot be perceived, as well as any calculation failures due to convergence issues. This filtering brings down the final set used in the benchmarking to 73301 conformers.