A/B Testing GPU Performance Calculator
Compare two GPU benchmark results to estimate FPS gains, frame-time changes, and the strength of the measured performance difference.
Overview
Use this A/B Testing GPU Performance Calculator to compare repeated benchmark results from two GPUs, drivers, graphics settings, or system configurations. Enter each setup's average FPS, run-to-run variation, and number of runs to see the FPS uplift, frame-time change, and a variability-adjusted difference score.
How it works
The calculator subtracts GPU A's average FPS from GPU B's average FPS, then expresses that difference as a percentage of GPU A's result. It also converts FPS into average frame time using 1,000 divided by FPS, because lower frame time means faster rendering. To account for benchmark variation and sample size, it calculates a standard error from both reported standard deviations and run counts. Dividing the absolute FPS difference by that standard error produces a simplified z-score: larger values mean the observed difference is larger relative to typical run-to-run variation.
How to use this calculator
- 1Run the same benchmark several times for GPU A and GPU B.
- 2Enter the average FPS from each group of runs.
- 3Add the FPS standard deviation for each group.
- 4Enter how many comparable runs were completed for each setup.
- 5Review the percentage change, absolute FPS difference, frame-time change, and performance difference score.
Example Calculation
GPU A average FPS
120
GPU B average FPS
135
GPU A FPS standard deviation
3
GPU B FPS standard deviation
3.5
GPU A benchmark runs
10
GPU B benchmark runs
10
GPU B performance change
+12.5% / - versus GPU A
GPU B averages 15 FPS more than GPU A, which is a 12.5% improvement. Its average frame time is about 0.93 ms lower, and the difference score is approximately 10.36.
Frequently asked questions
What does an A/B GPU performance test compare?
It compares results from two controlled setups, such as two GPUs, driver versions, overclock settings, or graphics configurations, using the same benchmark conditions.
Why should I run a GPU benchmark more than once?
Single runs can be affected by normal variation from temperatures, background processes, shader compilation, and system activity. Repeated runs make the average more representative.
What is a good performance difference score?
As a rough statistical guide, a score around 2 or higher indicates the measured difference is larger relative to the reported variation. It is not a guarantee that every real-world workload will show the same result.
Why does the calculator show frame time as well as FPS?
Frame time shows how long each frame takes to render. Lower frame times generally mean smoother and faster output, and they can make small FPS differences easier to interpret.
Can I compare different games with this calculator?
You can calculate a difference, but it is most meaningful when both setups are tested in the same game, scene, resolution, settings, and benchmark sequence.
Does a higher average FPS always mean a better gaming experience?
Not always. Frame-time consistency, minimum FPS, display refresh rate, input latency, and CPU limitations can also affect the experience.
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Assumptions and warnings
Assumptions
- Both sets of benchmark runs use the same game version, scene, resolution, graphics settings, and benchmark method.
- The reported averages and standard deviations are calculated from representative repeated runs.
- Runs are treated as independent and measured under broadly comparable conditions.
- The performance difference score is a simplified statistical indicator, not a complete experimental analysis.
- Results are estimates and may not reflect performance in every game, workload, or system configuration.
Warnings
- Benchmark results can be affected by drivers, background tasks, temperature, power limits, CPU bottlenecks, memory configuration, and run order.
- A small FPS difference may not be noticeable in actual gameplay, particularly when frame rates are already high.