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Screenshots Aren’t Evidence: Use csperf to Share Performance Artifacts

A benchmark time is hard to judge without its run conditions. Learn what a csperf artifact can add—and what the tutorial’s example does not verify.

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A timing screenshot shows a number, but not enough context to judge it. Hardware, operating system, compiler and flags, warm-up policy, repeat count, and run-to-run variation can all affect how a benchmark should be interpreted. A tutorial from compilersutra presents csperf as a way to save that context in shareable files rather than relying on a screenshot alone.

Why a benchmark screenshot is incomplete

A displayed time is an observation, not a reproducible account of how it was produced. Without the machine and software configuration, another person cannot tell whether a difference reflects the code, a different compiler setup, or other conditions. A single value also hides whether it came from one run or many, and whether the measurements clustered tightly or varied substantially.

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The tutorial puts the distinction this way: “The screenshot is the observation; the artifact is the full experimental protocol.” The useful point is not that an artifact makes every comparison fair; it is that it gives a team more of the information needed to evaluate the claim.

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What the csperf tutorial demonstrates

A compilersutra tutorial describes a command-line workflow that records a C++ benchmark run and saves structured output. Its commands are examples from that page, not independently verified current syntax or a guarantee that the package still supports the same options:

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  1. Install the package with the tutorial’s example command: pip install csperf.

  2. Run the C++ example using the CPU backend, one warm-up, five repeated runs, and JSON output. The tutorial shows a csperf run command with those settings; check the page and installed tool for the exact invocation before using it.

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  3. Generate the HTML report with the tutorial’s csperf visualize command. It describes JSON as the structured record, CSV as a tabular view, and HTML as a human-oriented report.

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The tutorial reports that its example JSON includes machine, compiler, and metric context. It does not establish current package maintenance, command compatibility, supported platforms, or official documentation; those details should be checked before adopting the workflow in a project.

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What to include when you share a result

Publish the artifact alongside the performance claim, and make clear what it records. When comparing two runs, inspect these fields rather than treating an exported file as automatic proof of a fair test:

  • Machine or hardware identity and operating system.

  • Compiler version and flags, plus the backend used.

  • Warm-up policy and number of measured repetitions.

  • The measurements’ distribution or spread, not only a headline average.

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These details are necessary context, not sufficient controls. In particular, matching recorded fields does not by itself establish that results from different machines are directly comparable. For a team workflow, the tutorial recommends setting warm-up and repeat counts, keeping artifacts in a version-controlled directory, and publishing the artifact with the claim. It also suggests comparing runs made with different compilers; treat that as a comparison to interpret carefully, not a conclusion that compiler identity is the only changed variable.

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How to read the tutorial’s sample numbers

In its example, compilersutra reports a 5.1714 ms mean, with a 5.161 ms minimum and 5.191 ms maximum, from five repetitions after one warm-up on an AMD Ryzen 7 9700X using clang++ 18.1.3. These are values reported for that tutorial example, not an independent measurement, a benchmark of csperf itself, or a general performance baseline. The page header gives a September 27 date without a year, so the date cannot establish when the example was run or whether the commands remain current.

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  • INCREDIBLE CONTRAST: The VA panel produces brighter whites and deeper blacks. You get true-to-life images and more gradients with 16.7 million colors
  • THE PERFECT VIEW: The 178/178 degree extra wide viewing angle prevents the shifting of colors when viewed from an offset angle, so you always get consistent colors
  • WORK SEAMLESSLY: This sleek monitor is virtually bezel-free on three sides, so the screen looks even bigger for the viewer. This minimalistic design also allows for seamless multi-monitor setups that enhance your workflow and boost productivity
  • A BETTER READING EXPERIENCE: For busy office workers, EasyRead mode provides a more paper-like experience for when viewing lengthy documents

When an artifact helps—and what it cannot prove

A structured record is most useful when a performance claim needs review later, when teammates need to inspect run conditions, or when someone wants to compare multiple runs rather than pass around one cropped image. It makes the claim more inspectable; it does not guarantee a controlled experiment, remove environmental noise, or make unlike machines interchangeable.

Use csperf only after confirming its current installation and command behavior for your environment. The available account is a single nonofficial tutorial, so its workflow and reported output should be understood as that author’s example rather than verified product documentation.

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