BuildRanked · Trust & transparency
How BuildRanked ranks PC components
Our rankings exist to shorten decision time—not to sell you the most expensive part. This page documents the scores behind Rank PC, the builder, and our in-depth guides.
Weighted model
Scoring pillars
Performance score
Primary emphasisNormalized gaming throughput from our benchmark corpus—1080p, 1440p, and 4K buckets weighted by how buyers actually game.
We aggregate public hardware test data and our internal normalization curves. Scores are relative within generation, not absolute FPS claims on every title.
Value score
Major factorPerformance per dollar at estimated street price — medians derived from active retailer listings.
A faster card that costs disproportionately more loses value rank even if it wins raw performance. Clearance last-gen SKUs get a time-decay factor.
Efficiency score
Supporting signalFrames per watt under gaming load proxies—important for thermals, noise, and PSU sizing.
Derived from board power limits and sustained gaming benchmarks, not idle TDP marketing.
Future-proofing score
Secondary signalsVRAM capacity, feature support (AV1, frame gen, RT tier), and platform longevity signals.
We penalize 8 GB cards for 1440p+ recommendations and reward modern encode blocks for streamers.
Thermal & acoustics
Refinement layerWhere we have thermal limit data, hotspot headroom and throttle risk adjust the score.
Reference boards and best-in-class AIB models are not treated identically when data exists.
What we ingest
Benchmark & data sources
- Aggregated third-party game benchmarks (1080p / 1440p / 4K, raster and RT where published)
- Manufacturer-independent review medians when sample sizes are sufficient
- BuildRanked internal normalization — scores are comparable within category, not across CPU/GPU/RAM
- Thermal limit entries sourced for catalog SKUs in Thermal browser
Scores are normalized within category (GPU vs GPU, CPU vs CPU). A CPU score is not comparable to a GPU score numerically—pairing logic lives in the builder and bottleneck content.
Freshness
Update frequency
Monthly refresh for stable catalogs; within two weeks of major launches once independent benchmark medians stabilize. Street price estimates update when retailer feeds change. Thermal limit data updates when new SKUs are validated for Thermal browser.
Builder & Rank PC
How recommendations are generated
The PC builder splits budget by use case (gaming, productivity, balanced), then selects the closest street-price matches in budget, balanced, and performance tiers per slot. It does not optimize every possible combination—that would be combinatorial noise—but it enforces allocation rules tested on real builds.
Rank PC surfaces relative scores for parts you choose. Authority pages like GPU hierarchy are editorial syntheses of the same data with human review.
EEAT
Editorial principles
- No pay-to-rank placements — affiliate links never move a score.
- Separate editorial recommendations from automated builder output; both use the same underlying data but different constraints (budget caps, use case).
- Disclose uncertainty: street prices change frequently; BIOS updates, drivers, and game patches also shift outcomes.
- Prefer reproducible signals over one-off cherry-picked runs.
- Correct errors publicly — contact and changelog via site footer pages.
What we do not claim
Testing philosophy
We are not a hardware lab publishing every SKU. We aggregate and normalize where sample sizes are strong, then spot-check edge cases (thermal throttling, VRAM-limited titles, dual-use stream builds). When data is thin, we say so and avoid false precision.
Interactive tools (thermal bottleneck, budget advisor) use simplified models—useful directionally, not a substitute for your own monitoring.
Accountability
Transparency & corrections
Affiliate and ad relationships are disclosed on About and Disclaimer. If you believe a score or spec is wrong, email us via Contact with sources—we correct factual errors promptly.
Frequently asked questions
- How often are rankings updated?
- GPU and CPU tables refresh monthly at minimum; major launches trigger out-of-band updates within two weeks when benchmark data stabilizes.
- Do affiliate commissions affect recommendations?
- No. Marketplace links may be monetized, but scores and builder tiers are computed from our models only.
- Can I reproduce your scores?
- You can approximate them from public benchmarks and the signals described on this page. Exact scores depend on normalization choices we tune per generation.