About — Quanteta GPU Performance Index
Public data infrastructure tracking 2455 indexed GPU specifications across 7 vendors. Free to use, openly documented methodology.
Last updated:
Calculated from published specifications — a Quanteta index, not measured FPS / benchmark results.
Data Sources
- GPU Data
- RightNow GPU Database — Comprehensive GPU specifications dataset.
- Coverage
- 2455 indexed GPUs from 7 vendors spanning multiple decades of GPU history.
Quanteta Performance Indices
Five calculated 0-100 indices, normalized across the whole dataset. Each is a transparent formula over published specifications (compute throughput, bandwidth, clocks, TDP) — analytical indices, not measured game/render benchmarks, and never an editorial opinion.
- Overall Performance Index (QOV)
- Composite 0-100 index calculated from published specifications — not a measured benchmark. Weighted blend of Compute Strength (30%), Graphics Index (30%), Power Efficiency Index (20%) and Memory Bandwidth Density (20%), normalized across the whole dataset.
- Compute (AI) Strength (QAI)
- 0-100 index for AI and compute workloads, calculated from specs (not a measured benchmark). Derived from FP16 throughput (45%), memory bandwidth (30%) and tensor-core count (25%). Cards with under 8 GB VRAM score 0 on this axis.
- Graphics Index (QGP)
- 0-100 index for graphics / gaming workloads, calculated from specs (not a measured benchmark). Derived from texture rate (35%), pixel rate (25%), memory bandwidth (25%) and boost clock (15%).
- Power Efficiency Index (QWP)
- 0-100 index measuring FP32 throughput per watt of TDP, calculated from specs (not a measured benchmark). Higher means more compute per watt.
- Memory Bandwidth Density (QME)
- 0-100 index measuring memory bandwidth relative to VRAM capacity and bus width — i.e. how dense the memory subsystem is, not overall capability. Calculated from specs (not a measured benchmark). By construction this favours cards with narrow, fast memory and small VRAM, so some older / console GPUs rank highly here. Use it for memory-subsystem analysis, not as a performance ranking.
Data Access
- Browse and filter all data on this website
- Compare GPUs side by side
- Download the full dataset as CSV
- Schema.org Dataset / Product markup for machine consumption
Data under CC BY 4.0.
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