LIVE

METHODOLOGY

How we measure balance.

Every answer starts from real benchmarks. No vague percentages, no opaque scoring — every step is explainable.

01 · Normalize parts to a 0–100 index

Each CPU and GPU is projected onto a 0–100 performance index per workload (gaming, productivity, streaming, AI) and per resolution (1080p, 1440p, 4K).

The index is a weighted blend of measured benchmarks: PassMark single- and multi-thread for CPUs; FP32 TFLOPS, VRAM size, and memory bandwidth for GPUs. Weights shift by workload — gaming favors single-thread; productivity favors cores and multi-thread; AI favors VRAM headroom.

02 · Compute a balance ratio

Once both parts are normalized, the engine computes the ratio of CPU index to GPU index and compares it against a target ratio for the chosen resolution and workload. 4K gaming has a GPU-heavier target; 1080p high-FPS gaming has a CPU-heavier target.

Pairings within a ±15% tolerance band are classified as balanced. Heuristic precision below that magnitude would be false confidence — we don't report it.

03 · Predict FPS with a three-tier fallback

For top games, the engine looks up the closest matching CPU + GPU + resolution + preset benchmark in our games-FPS database. The result carries a confidence indicator:

  • HIGHExact match in measured benchmark data.
  • MEDIUMSame parts, different resolution or preset — interpolated.
  • LOWNo matching benchmark — estimated from performance indices alone.

Every FPS prediction in the result panel is tagged with its confidence so you can tell measured truth from estimated estimate.

04 · Recommend the smallest upgrade that helps

When a build is bottlenecked, the engine scans every part of the same kind in the catalog and ranks them by FPS-gain-per-dollar. We surface the single best swap, not a wall of options — most users want one decision, not a comparison spreadsheet.

Why this beats the competition

Most bottleneck calculators on the internet output one opaque percentage and nothing else. We output a verdict, FPS predictions per game, a performance grade, a PSU sizing, a confidence score, and a concrete upgrade — all anchored on real measurements you can verify on the data sources page.

Engine version: V0.1 · Bench-anchored. The methodology is open: every coefficient and threshold lives in the project repository.