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Gaming Frame Rate A/B Test Formula

Learn how average FPS difference, relative uplift, standard error, and approximate confidence bounds are calculated for two gaming benchmark variants.

This calculator estimates whether the average FPS difference between Variant A and Variant B is large relative to normal run-to-run variation. It is useful for comparing controlled changes such as graphics settings, drivers, hardware configurations, or game patches.

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Approximate 95% Confidence Interval for FPS Difference

(B − A) ± 1.96 × √(sA² / nA + sB² / nB)

Where:

First find how many FPS Variant B gains or loses versus Variant A. Then calculate the uncertainty from each variant's FPS variation and number of runs. Adding and subtracting 1.96 times that uncertainty gives an approximate 95% range for the true FPS difference.

Variables Explained

VariableWhat It MeansUnit
averageFpsA - Variant A average FPSThe mean frames per second measured for the baseline variant.FPS
averageFpsB - Variant B average FPSThe mean frames per second measured for the changed or challenger variant.FPS
fpsStdDevA - Variant A FPS standard deviationThe amount FPS results vary from run to run for Variant A.FPS
fpsStdDevB - Variant B FPS standard deviationThe amount FPS results vary from run to run for Variant B.FPS
sampleSizeA - Variant A benchmark runsThe number of comparable FPS observations for Variant A.number
sampleSizeB - Variant B benchmark runsThe number of comparable FPS observations for Variant B.number

Step-by-Step Calculation

1

Calculate the average FPS difference

A positive result means Variant B has a higher average FPS; a negative result means it is slower.

fpsDifference = averageFpsB - averageFpsA

2

Calculate the percentage FPS uplift

This expresses the FPS change relative to the Variant A baseline.

fpsUplift = (fpsDifference / averageFpsA) * 100

3

Calculate the variance contribution from Variant A

Higher run-to-run variation increases uncertainty, while more benchmark runs reduce it.

varianceA = pow(fpsStdDevA, 2) / sampleSizeA

4

Calculate the variance contribution from Variant B

This is the corresponding uncertainty contribution for Variant B.

varianceB = pow(fpsStdDevB, 2) / sampleSizeB

5

Calculate the standard error of the difference

The standard error estimates how much the measured FPS difference may vary across comparable samples.

standardError = sqrt(varianceA + varianceB)

6

Calculate the performance difference score

This expresses the observed FPS difference in standard-error units. A larger absolute score indicates a clearer difference relative to measured variation.

zScore = fpsDifference / standardError

7

Calculate approximate confidence bounds

These bounds provide an approximate 95% interval for the underlying average FPS difference.

confidenceLower = fpsDifference - 1.96 * standardError; confidenceUpper = fpsDifference + 1.96 * standardError

Comparing two graphics configurations

Variant A average FPS120 FPS
Variant B average FPS128 FPS
Variant A benchmark runs50 runs
Variant B benchmark runs50 runs
Variant A FPS standard deviation12 FPS
Variant B FPS standard deviation14 FPS
1

Find the FPS difference

128 - 120

8 FPS

2

Find the relative uplift

(8 / 120) * 100

6.67%

3

Calculate Variant A variance contribution

pow(12, 2) / 50

2.88

4

Calculate Variant B variance contribution

pow(14, 2) / 50

3.92

5

Calculate standard error

sqrt(2.88 + 3.92)

2.61 FPS

6

Calculate 95% margin

1.96 * 2.61

5.12 FPS

7

Calculate confidence range

8 - 5.12 to 8 + 5.12

2.88 to 13.12 FPS

Final Result

Variant B is 8.0 FPS faster than Variant A, a 6.67% uplift. The approximate 95% confidence interval is 2.9 to 13.1 FPS.

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Assumptions

  • Benchmark runs use broadly comparable scenes, game versions, graphics settings, hardware conditions, and measurement methods.
  • The observations within each variant are treated as independent measurements.
  • The supplied standard deviations reasonably describe run-to-run FPS variation.
  • The normal approximation used for the 95% interval is most informative when each variant has several repeated runs.

Limitations

  • !Average FPS does not measure frame-time consistency, stutter, 1% lows, input latency, or visual quality.
  • !Changing scenes, background activity, thermal behavior, shader compilation, and game updates can affect results beyond the tested change.
  • !The interval is approximate and depends on accurate run counts and standard deviations.
  • !A statistically clearer difference may still be too small to matter at a chosen display refresh rate or for a specific game.

Common Mistakes to Avoid

1

Entering one benchmark pass as though it represents many independent runs.

2

Comparing different scenes, resolutions, graphics presets, or benchmark durations between variants.

3

Using the FPS standard deviation from individual frame times when the input is intended to represent variation among benchmark-run results.

4

Treating a positive average FPS result as proof of better frame pacing or lower input latency.

5

Using percentage uplift without checking the absolute FPS difference and confidence range.

Related Formulas

Frequently Asked Questions

How do you calculate FPS difference between two benchmark variants?

Subtract Variant A average FPS from Variant B average FPS. A result above zero means Variant B is faster on average.

How is FPS uplift calculated?

Divide the FPS difference by Variant A average FPS, then multiply by 100. This gives the percentage change relative to the baseline.

What is the standard error in an FPS A/B test?

It estimates uncertainty in the difference between the two average FPS values using each variant's standard deviation and number of runs.

What does an approximate 95% FPS confidence interval show?

It shows a plausible range for the underlying average FPS difference based on the entered benchmark data. A range entirely above zero indicates the measured gain is more clearly separated from observed variation.

What does a negative FPS difference mean?

It means Variant B averaged fewer FPS than Variant A. The confidence range helps show whether that observed loss is clear relative to normal variation.

Is a high performance difference score always important for gaming?

No. It indicates a clearer measured difference relative to variation, but practical importance also depends on the absolute FPS change, frame pacing, display refresh rate, and gameplay goals.

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