算出方法 — Quanteta GPU Performance Index

What these indices are (and are not)

Every number on this site is a Quanteta index calculated by formula from a GPU's published specifications (FP16/FP32 throughput, memory bandwidth, clocks, TDP, core counts). They are not measured benchmarks: no game was run, no FPS or render time was recorded. Like Walk Score or an Elo rating, each index reduces published data to a clean, comparable 0-100 scale via a documented, reproducible formula. We publish every formula below so the numbers can be audited and recomputed.

Indices

データセット全体で正規化した5つの0-100計算指数。公開スペック（演算性能・帯域・クロック・TDP）に対する透明な計算式から導く分析指数であり、実測ベンチマーク（ゲームFPSやレンダリング時間）でも主観的評価でもありません。

総合性能指数 (QOV)

公開スペックから算出した0-100の複合指数（実測ベンチマークではない）。GPU計算強度30%・グラフィックス指数30%・電力効率指数20%・メモリ帯域密度20%の加重平均をデータセット全体で正規化したもの。

GPU計算強度 (QAI)

AI・演算向けの0-100指数。スペックから算出（実測ベンチマークではない）。FP16性能45%・メモリ帯域30%・Tensorコア数25%から算出。VRAM 8GB未満のカードはこの軸では0。

グラフィックス指数 (QGP)

グラフィックス・ゲーム向けの0-100指数。スペックから算出（実測ベンチマークではない）。テクスチャレート35%・ピクセルレート25%・メモリ帯域25%・ブーストクロック15%から算出。

電力効率指数 (QWP)

TDP 1ワットあたりのFP32性能を測る0-100指数。スペックから算出（実測ベンチマークではない）。高いほど消費電力あたりの演算性能が高い。

メモリ帯域密度 (QME)

VRAM容量とバス幅に対するメモリ帯域を測る0-100指数。スペックから算出（実測ベンチマークではない）。総合性能ではなく「メモリ系の密度」を表す。設計上、容量が小さく高速・狭バスのカードが有利になるため、一部の旧世代・コンソール系GPUが上位に来る。性能ランキングではなくメモリ系の分析用途に使うこと。

Exact formulas

• Compute (AI) Strength (QAI) = 0.45·FP16(TFLOPS) + 0.30·(bandwidth/100) + 0.25·(min(tensor_cores/512, 1)·25); cards under 8 GB VRAM = 0. Then min-max normalized to 0-100.
• Graphics Index (QGP) = 0.35·texture_rate + 0.25·pixel_rate + 0.25·(bandwidth/10) + 0.15·(boost_clock/100). Then min-max normalized to 0-100.
• Power Efficiency Index (QWP) = FP32(TFLOPS) / TDP(W) × 1000. Then min-max normalized to 0-100.
• Memory Bandwidth Density (QME) = 0.5·(bandwidth/VRAM_GB) + 0.5·(bandwidth/(bus_bits/8)). Then min-max normalized to 0-100.
• Overall Performance Index (QOV) = 0.30·QAI + 0.30·QGP + 0.20·QWP + 0.20·QME (over available components).

A GPU is indexed on a given axis only when all inputs for that axis are present; otherwise the axis is omitted rather than imputed. The short codes (QOV, QAI, QGP, QWP, QME) are compact column labels for the indices named above.

Percentile ("top X%")

Each index on a GPU page is shown with a percentile such as "top 1%". The population for a given axis is every GPU in this database that has an index on that same axis — not a time-windowed or vendor-filtered subset. As of the current build that is 2455 GPUs for the Overall Performance Index (QOV) axis, 721 for Compute/AI Strength (QAI) and 2435 for the Graphics Index (QGP). "Top X%" means the GPU's index is at or above the (100−X)th percentile of that population. Counts shift as the dataset grows.

Data Sources

GPU Data

RightNow GPU Database — public GPU specifications dataset.

Update Frequency

Collected periodically via automated collectors. Pages are regenerated only when underlying data changes. The "最終更新" timestamp reflects actual data changes, never cosmetic edits.

Data Quality

• Validation: incoming data is validated against expected ranges and types.
• Anomaly detection: implausible FP32 / TDP values are flagged.
• Automated collection: data is collected by scripts to eliminate manual entry errors.
• Single source of truth: JSON-LD structured data and HTML are generated from the same variables; a build-time gate fails the build on any mismatch.

Limitations & Caveats

• Data depends on the accuracy of the upstream source.
• Indices are descriptive metrics calculated from specifications — not measured benchmarks, predictions or recommendations.
• Coverage varies; not every GPU has complete data for all fields or all index axes.
• The source dataset contains no pricing, so no price or value-per-dollar metric is published.
• Memory Bandwidth Density (QME) by construction favours narrow, fast, small-VRAM memory subsystems, so some older / console GPUs rank highly on that axis. This is an honest property of the formula, not a ranking of overall capability.