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Performance discrepancies in material property prediction can be drastically reduced with AutoMatBench, which saves over half the computational cost while achieving similar results to established benchmarks.
Industry-standard CPU benchmarks can vary by up to 436% due to uncontrolled configurations of other system components, highlighting a critical flaw in current evaluation practices.