How do I interpret the results from Rust's Criterion benchmarking?
An example of an AI chatbot conversation about interpreting results from Rust's Criterion benchmarking.
How do I interpret the results from Rust's Criterion benchmarking?
To interpret the results from Rust's Criterion, look at the mean time, variance, and the number of iterations. The mean time gives you the average performance, while variance indicates consistency.
What does the 'mean' time represent?
The 'mean' time represents the average time taken for a function to execute across multiple iterations, providing a baseline for performance.
What should I do if the variance is high?
If the variance is high, it may indicate inconsistent performance. You can try to identify bottlenecks or optimize the code to achieve more stable results.
Can I compare results across different machines?
Comparing results across different machines can be tricky due to hardware differences. It's best to benchmark on the same machine for accurate comparisons.
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