How FPS (Frames per second) calculators work?
The Frame rate calculator utilizes extensive benchmarks of frame rate measurements for various hardware configurations executing gaming and productivity software. These benchmarks detail the capabilities of discrete system components to render successive frames over a defined timespan when running particular applications. Estimators employ this empirical data with machine learning techniques to forecast the frame rate attainable for an arbitrary system configuration. The models infer and fill gaps in the empirical measurements to predict the number of frames renderable per unit time, conventionally one second. This enables approximating the real-time graphical throughput feasible for a given set of components like CPU, GPU, memory, etc. In essence, estimators leverage heterogeneous domain knowledge and artificial intelligence to quantify system performance for interactive graphics workloads.
Are FPS calculators completely accurate?
Frame rate calculators are imperfect approximations subject to multiple accuracy limitations. Their estimates derive from collating performance measurements across hardware and software. However, benchmarks exhibit variability from system configuration, software versions, and thermal throttling. This noise permeates predictions. Additionally, the aggregated benchmarks may lack real-world representativeness. FPS calculators also employ machine learning to extrapolate estimations. But these models have bounded inference capabilities and cannot encapsulate every performance factor. Moreover, frame rates depend heavily on specific applications and settings. Resolution, graphics quality, CPU strength, and GPU power all sway outcomes. Ultimately, while calculators can estimate expected capabilities, treat suggestions as guidelines rather than absolutes. Real-world validation on target hardware running intended software gives the most accurate performance quantifications. In essence, predictive variability from inconsistent data, imperfect models, and application-specific behaviour limit frame rate calculator fidelity. Their usefulness manifests more in informing ballpark expectations rather than numerical certainties.
Why are the results of the FPS (frames per second) calculations from last month and today different?
System configuration changes can affect FPS performance over time. As mentioned in source1, factors like RAM amount are not considered by FPS calculators, so upgrades can change the actual FPS. FPS calculators rely on benchmark data that may not reflect real-world performance accurately, as noted in source. So variations are expected between estimates and actual FPS. Models used by FPS calculators are not perfect at predicting performance for all system configurations, gaming applications etc., as explained in source. So there is inherent inaccuracy. Factors like graphics settings, resolution etc. that impact FPS can change between measurements, leading to different results, as pointed out in the source. Traditional FPS calculation methods using timing measurements between frames can be inaccurate on modern asynchronous GPUs, according to source. More advanced profiling is required.