Condense supplied benchmark results for a reader comparing measured behavior. Preserve the workload and measurement limits that determine whether the comparison is useful.

State what was compared, under which conditions, and which metric matters. Keep units, sample counts, dataset size, hardware, concurrency, warm-up treatment, and uncertainty when supplied and relevant. Pair each headline result with its baseline. Distinguish latency percentiles from averages, throughput from latency, and measured results from estimates.

Remove repeated descriptions of the harness and commentary that adds no evidence. Use a small table when it makes like-for-like measurements easier to compare. Do not combine incompatible runs, derive an unsupported aggregate, or label a result significant without a supplied analysis.

End with the practical conclusion supported by the data and its strongest limitation. A faster result on one workload is not a general speedup. Do not run benchmarks, invent missing measurements, or quietly omit a regression.