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A/B Testing GPU Performance (Annual) Formula

Learn how annual GPU electricity cost, benchmark performance change, and performance-per-watt change are calculated.

This calculator compares GPU B with GPU A using matched benchmark scores, typical workload power draw, annual operating time, and an electricity rate. It estimates the benchmark and efficiency differences alongside GPU-only annual electricity costs.

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Annual Electricity Cost Savings With GPU B

Annual savings = ((Power A − Power B) ÷ 1,000) × Hours per day × Active days per year × Electricity rate

Where:

Subtract GPU B's typical wattage from GPU A's, convert the difference to kilowatts, multiply by annual hours, then multiply by the price per kWh. A positive result means GPU B is estimated to cost less to power.

Variables Explained

VariableWhat It MeansUnit
gpuAPower - GPU A power drawTypical measured GPU A power draw during the compared workload.watt
gpuBPower - GPU B power drawTypical measured GPU B power draw during the same workload.watt
hoursPerDay - Average GPU use per dayAverage daily number of hours spent running the workload.hours
daysPerYear - Active days per yearNumber of days per year that the workload is expected to run.days
electricityRate - Electricity ratePrice paid for one kilowatt-hour of electricity.currency
gpuAPerformance - GPU A benchmark scoreGPU A score from the matched benchmark and test conditions.benchmark points
gpuBPerformance - GPU B benchmark scoreGPU B score from the same benchmark and test conditions.benchmark points

Step-by-Step Calculation

1

Calculate annual operating hours

Daily workload time is multiplied by the number of active days to estimate total annual runtime.

annualHours = hoursPerDay * daysPerYear

2

Estimate GPU A annual energy use

Watts are converted to kilowatts and multiplied by annual hours to produce kWh.

gpuAEnergy = (gpuAPower / 1000) * annualHours

3

Estimate GPU B annual energy use

The same kWh calculation is applied to GPU B.

gpuBEnergy = (gpuBPower / 1000) * annualHours

4

Calculate annual electricity cost

Each GPU's estimated kWh use is multiplied by the entered cost per kWh.

gpuAAnnualCost = gpuAEnergy * electricityRate; gpuBAnnualCost = gpuBEnergy * electricityRate

5

Find annual cost savings

A positive value indicates that GPU B has the lower estimated GPU-only electricity cost.

annualCostSavings = gpuAAnnualCost - gpuBAnnualCost

6

Calculate benchmark performance change

GPU B's score difference is expressed as a percentage relative to GPU A.

performanceDifference = ((gpuBPerformance - gpuAPerformance) / gpuAPerformance) * 100

7

Calculate performance-per-watt change

This compares benchmark points per watt, using GPU A as the baseline.

performancePerWattDifference = (((gpuBPerformance / gpuBPower) - (gpuAPerformance / gpuAPower)) / (gpuAPerformance / gpuAPower)) * 100

Worked example: 20,000-point GPU A versus 26,000-point GPU B

GPU A benchmark score20,000 points
GPU B benchmark score26,000 points
GPU A power draw250 W
GPU B power draw220 W
Average use8 hours per day
Active days250 days per year
Electricity rate$0.16 per kWh
1

Annual operating hours

8 * 250

2,000 hours

2

GPU A annual energy

(250 / 1000) * 2000

500 kWh

3

GPU B annual energy

(220 / 1000) * 2000

440 kWh

4

Annual electricity costs

500 * 0.16; 440 * 0.16

GPU A: $80.00; GPU B: $70.40

5

Annual savings with GPU B

80.00 - 70.40

$9.60 per year

6

Performance and efficiency change

((26000 - 20000) / 20000) * 100; (((26000 / 220) - (20000 / 250)) / (20000 / 250)) * 100

30.0% faster; 47.7% better performance per watt

Final Result

At 2,000 annual operating hours, GPU B is estimated to be 30.0% faster, 47.7% more efficient by benchmark points per watt, and $9.60 cheaper per year in GPU electricity costs.

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Assumptions

  • Both benchmark scores use the same application, workload, preset, resolution, drivers, and test method.
  • Each GPU draws its entered typical workload power during every active hour.
  • The electricity rate and usage pattern remain constant for the year.
  • The estimate includes GPU power only, not whole-system consumption.

Limitations

  • !A single benchmark may not represent every game, application, AI model, rendering task, or compute workload.
  • !Actual power draw can change with workload, frame caps, clocks, cooling, driver versions, and system configuration.
  • !The result excludes CPU, memory, storage, displays, fans, power-supply losses, and idle power.
  • !Annual electricity savings alone do not account for purchase price or other ownership costs.

Common Mistakes to Avoid

1

Comparing scores from different benchmarks, presets, resolutions, or driver versions.

2

Entering a GPU's advertised board power instead of typical measured workload draw.

3

Using total PC wall power as if it were GPU-only power.

4

Entering cents per kWh as a whole number when the calculator expects currency units, such as 0.16 for $0.16 per kWh.

5

Treating a positive annual savings result as proof that GPU B is better for every workload.

Related Formulas

Frequently Asked Questions

How is GPU annual electricity cost calculated?

Typical GPU watts are divided by 1,000, multiplied by annual operating hours to get kWh, and then multiplied by the electricity rate.

What does a positive performance change mean?

It means GPU B has a higher benchmark score than GPU A under the matched test conditions.

What does performance per watt measure?

It divides benchmark score by power draw. A higher value means more measured benchmark performance for each watt used.

Why are benchmark scores required to use the same settings?

Different settings can change the score independently of the GPU, making the percentage comparison unreliable.

Does the formula include the rest of the computer?

No. It estimates the electricity cost associated with the entered GPU power draw only.

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