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A/B Testing GPU Performance Calculator Examples

Worked examples showing how to compare GPU benchmark FPS, frame time, and result consistency across two test setups.

These examples use repeated, controlled benchmark runs to show how average FPS, frame time, sample size, and variation affect an A/B GPU comparison. They are illustrative estimates, not predictions for every PC or game.

1

Midrange GPU upgrade in a demanding game

A player compares an existing GPU with an upgrade at the same 1440p preset and benchmark scene.

Input Summary

GPU A average FPS

72 FPS

GPU B average FPS

84 FPS

GPU A standard deviation

2.5 FPS

GPU B standard deviation

3 FPS

Runs per setup

10

Calculation Breakdown

  1. 1FPS difference84 - 7212 FPS
  2. 2Percentage change(12 / 72) * 10016.7%
  3. 3Frame-time change(1000 / 84) - (1000 / 72)-1.98 ms
  4. 4Difference score12 / sqrt((2.5 * 2.5 / 10) + (3 * 3 / 10))12.29

Result Summary

Difference score

12.29

A/B Testing GPU Performance Calculator

GPU B is 16.7% faster, averaging 84 FPS instead of 72 FPS, with a 1.98 ms lower average frame time.

2

Driver update with a small FPS gain

The same GPU is tested before and after a driver update in a CPU-heavy esports benchmark.

Input Summary

GPU A average FPS

240 FPS

GPU B average FPS

245 FPS

GPU A standard deviation

6 FPS

GPU B standard deviation

7 FPS

Runs per setup

8

Calculation Breakdown

  1. 1FPS difference245 - 2405 FPS
  2. 2Percentage change(5 / 240) * 1002.1%
  3. 3Frame-time change(1000 / 245) - (1000 / 240)-0.09 ms
  4. 4Difference score5 / sqrt((6 * 6 / 8) + (7 * 7 / 8))1.54

Result Summary

Difference score

1.54

A/B Testing GPU Performance Calculator

GPU B is 2.1% faster on average, but its variability-adjusted score is only 1.54.

3

Graphics-setting change at 4K

A system is tested at the same 4K scene before and after enabling a performance-focused upscaling setting.

Input Summary

GPU A average FPS

48 FPS

GPU B average FPS

66 FPS

GPU A standard deviation

2 FPS

GPU B standard deviation

2.5 FPS

Runs per setup

6

Calculation Breakdown

  1. 1FPS difference66 - 4818 FPS
  2. 2Percentage change(18 / 48) * 10037.5%
  3. 3Frame-time change(1000 / 66) - (1000 / 48)-5.68 ms
  4. 4Difference score18 / sqrt((2 * 2 / 6) + (2.5 * 2.5 / 6))14.91

Result Summary

Difference score

14.91

A/B Testing GPU Performance Calculator

GPU B raises average FPS by 37.5% and reduces average frame time by about 5.68 ms.

4

High-end GPU comparison near a refresh target

Two GPUs are benchmarked in the same game at settings designed to target a 144 Hz display.

Input Summary

GPU A average FPS

151 FPS

GPU B average FPS

171 FPS

GPU A standard deviation

4 FPS

GPU B standard deviation

5 FPS

Runs per setup

12

Calculation Breakdown

  1. 1FPS difference171 - 15120 FPS
  2. 2Percentage change(20 / 151) * 10013.2%
  3. 3Frame-time change(1000 / 171) - (1000 / 151)-0.78 ms
  4. 4Difference score20 / sqrt((4 * 4 / 12) + (5 * 5 / 12))11.79

Result Summary

Difference score

11.79

A/B Testing GPU Performance Calculator

GPU B is 13.2% faster in the benchmark and has an average frame time about 0.78 ms lower.

How to Read Your Results

A positive FPS percentage means GPU B produced a higher average FPS; a negative percentage means it produced a lower average.

A negative frame-time change is favorable because each frame takes less time to render.

Compare absolute FPS as well as percentages: a 10 FPS gain has a different practical context at 40 FPS than at 300 FPS.

Treat a higher performance difference score as stronger evidence that the measured gap exceeds ordinary run-to-run variation.

Use the result only when both test groups were collected under comparable conditions.

Assumptions & Important Notes

  • Each example uses the same game, scene, resolution, settings, and benchmark sequence for both setups.
  • Reported standard deviations represent variation across repeated benchmark runs.
  • Average FPS is used as the primary comparison metric.
  • The score is a simplified indicator and does not measure image quality, latency, or frame-time spikes.

Related Examples

Frequently Asked Questions

How many GPU benchmark runs should I use in an example?

More comparable runs generally provide a more stable average and a better estimate of variation. The appropriate count depends on how variable the benchmark is.

Why can a 5 FPS gain have a low difference score?

If run-to-run standard deviations are large or there are few runs, a 5 FPS gap may be small relative to measurement variation.

Can I use these examples for a driver comparison?

Yes, if the driver versions are the intended difference and all other relevant test conditions are kept as consistent as possible.

Does lower average frame time guarantee smoother gameplay?

No. It indicates faster average delivery, but smoothness also depends on frame-time consistency, percentile performance, synchronization, and other factors.

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