Inquiry about Geekbench 6 scoring calculation methodology
I hope this email finds you well. I am writing to inquire about the scoring calculation methodology used in Geekbench 6, as I have encountered some discrepancies between the published algorithm and my own verification efforts.
According to the Geekbench 6 PDF documentation, it states: "These scores are computed using a weighted arithmetic mean of the subsection scores. The subsection scores are computed using the geometric mean of the scores of the workloads contained in that subsection."
However, when I attempted to validate this algorithm using the example scores provided, I found that the results did not match the stated methodology. Specifically, the Single-Core Score of 2861 does not seem to align with the weighted arithmetic mean of the subsection scores or the geometric mean of the workloads within each subsection.
Could you please clarify the precise scoring calculation procedures employed in Geekbench 6? I would greatly appreciate a detailed explanation or a worked example to reconcile the discrepancy I have encountered. Understanding the scoring methodology is crucial for accurately interpreting and comparing benchmark results.
Thank you in advance for your assistance. I look forward to your response and any additional insights you can provide.
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Support Staff 1 Posted by John on 08 Apr, 2024 03:49 AM
When calculating the subsection scores, keep in mind there are eight integer workloads (File Compression to Object Detection) and seven floating point workloads (Background Blur to Structure from Motion). If you include integer workload scores when calculating the floating point subsection score (or vice versa) you'll end up with an incorrect overall score.