PC Bottleneck Calculator
Select your CPU, GPU, resolution and use case — we’ll tell you which component is holding your system back and by how much.
About this calculator
The bottleneck percentage shown above is an estimate based on relative CPU and GPU performance tiers at your chosen resolution — not a live measurement of your actual system. No bottleneck calculator can measure your PC directly; all of them, including this one, use performance models built from benchmark data to approximate the relationship between your CPU and GPU.
Why different calculators give different numbers
There is no universal standard for calculating CPU bottleneck percentage. Every tool on the web uses its own formula and weighting. A result of 15% here and 22% on another site does not mean either is wrong — it means the formulas differ. What matters is whether the direction is consistent: if multiple tools agree your CPU is the limiting component, that signal is reliable even if the exact percentage varies.
How to verify a bottleneck on your own PC
The most accurate way to check for a real bottleneck is to monitor your CPU and GPU usage while gaming using MSI Afterburner or HWiNFO. If your CPU is consistently running at 95-100% while your GPU sits below 70-75%, your CPU is genuinely the limiting factor. If both are above 90%, the system is well matched. If your GPU is at 99% and CPU is below 80%, the GPU is the limit — which is normal and healthy at higher resolutions.
What this calculator cannot account for
Game engine architecture varies significantly — some titles are heavily single-threaded, others scale well across many cores. RAM speed, background processes, driver version, and whether a game uses DirectX 12 or Vulkan all affect real-world performance in ways no static calculator can model. Use this tool as a starting point for upgrade planning, not as a diagnostic verdict on your specific system.
Our commitment to accuracy
The performance scores used in this calculator are built from published benchmark data across a wide range of CPU and GPU pairings. We update them when new hardware launches. If you notice a result that seems significantly off compared to your real-world experience, that is useful feedback — the gap between estimated and actual performance helps us improve the model over time.