GPU Performance vs Performance Per Watt vs Annual Cost
Compare the main ways to evaluate two GPUs: benchmark speed, efficiency, and annual GPU electricity cost.
A GPU comparison can produce different winners depending on whether the priority is peak benchmark performance, benchmark performance per watt, or estimated annual electricity cost. These comparisons use the same matched workload principle as the calculator.
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About GPU Performance vs Performance Per Watt vs Annual Cost
A GPU comparison can produce different winners depending on whether the priority is peak benchmark performance, benchmark performance per watt, or estimated annual electricity cost. These comparisons use the same matched workload principle as the calculator.
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Key Factors
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Faster GPU versus lower-power GPU
One GPU has the higher benchmark score, while the other uses less power.
| Factor | Option A: Higher-performance GPU | Option B: Lower-power GPU | What It Means |
|---|---|---|---|
| Matched benchmark score | Higher | Lower | It completes more measured benchmark work under the same test conditions. |
| Typical workload power | Often higher | Lower | Lower watts reduce energy use for the same operating hours. |
| Performance per watt | May be higher or lower | May be higher or lower | Efficiency depends on the relationship between both score and watts. |
| Annual GPU electricity cost | Usually higher at equal runtime | Usually lower at equal runtime | Cost is driven by power, hours, and the electricity rate. |
| Best comparison input | Matched benchmark score | Measured workload power | Both inputs are needed to evaluate speed and energy trade-offs. |
Choose based on whether the workload needs higher measured performance, lower operating energy, or a balance of both.
Low annual runtime versus high annual runtime
The same GPU power difference has different annual cost significance depending on hours used.
| Factor | Option A: Low-runtime use | Option B: High-runtime use | What It Means |
|---|---|---|---|
| Annual operating hours | Few hours | Many hours | This is a usage pattern rather than a GPU characteristic. |
| Effect of a wattage difference | Smaller annual kWh effect | Larger annual kWh effect | More runtime magnifies the energy difference. |
| Importance of electricity rate | Usually lower absolute impact | Usually higher absolute impact | The same rate applies to more kWh when runtime is greater. |
| Importance of performance per watt | Still informative | More operationally relevant | Efficiency can have a larger ongoing energy consequence under sustained use. |
| Primary evaluation focus | Performance and features may dominate | Performance, efficiency, and cost may all matter | The appropriate weighting depends on the workload and constraints. |
Annual operating time does not alter the benchmark result, but it directly changes annual energy use and electricity-cost differences.
Benchmark performance change versus annual cost savings
A benchmark uplift and an electricity saving answer different questions.
| Factor | Option A: Performance change | Option B: Annual cost savings | What It Means |
|---|---|---|---|
| Main input | Benchmark scores | Power, runtime, and electricity rate | The calculations use different input groups. |
| What it measures | Relative benchmark speed | Estimated GPU-only electricity-cost difference | One measures performance; the other measures operating cost. |
| Affected by usage hours | No | Yes | Benchmark percentage is independent of annual runtime. |
| Affected by electricity rate | No | Yes | The rate only affects the currency result. |
| Decision relevance | Workload throughput | Ongoing power expense | Neither result alone captures all hardware considerations. |
Use performance change to assess matched benchmark uplift and annual cost savings to estimate the energy-cost effect of power draw over expected use.
Key Differences at a Glance
Benchmark performance compares speed under matched test conditions.
Performance per watt combines benchmark performance and workload power draw.
Annual electricity cost depends on watts, operating hours, and the electricity rate.
A GPU can be faster but less efficient, or slower but more efficient.
Higher runtime makes power-draw differences more important to annual cost.
How to Decide
Assumptions
- Each comparison uses the same workload and benchmark conditions for both GPUs.
- Typical power draw is assumed to remain constant during active hours.
- Annual costs use the entered electricity rate without changes over time.
- The comparison excludes non-GPU system power and power-supply losses.
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Frequently Asked Questions
Which is more important: GPU performance or performance per watt?
It depends on the workload goal. Performance measures matched benchmark speed, while performance per watt adds energy efficiency to the comparison.
Can the lower-power GPU have a higher annual cost?
Not if both GPUs have the same runtime and electricity rate and the entered lower power is accurate. Different usage assumptions can change the comparison.
Does annual runtime affect the performance percentage?
No. Runtime affects annual energy and cost estimates, not the benchmark performance calculation.
Why should I compare annual cost separately from purchase price?
Annual cost estimates cover entered GPU electricity use only and do not include the purchase price or other ownership factors.
Can I compare a gaming GPU benchmark with a compute benchmark?
Use separate comparisons. Results are meaningful only when both GPUs are tested in the same type of workload.
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