Calculate Bottleneck
Open Data & Compatibility Reference

Open PC Hardware Dataset

A clean, versioned public catalog of 302 processors and 640 graphics cards with standardized taxonomy classifications, launch timelines, memory specs, and performance baseline indices.

Version: 2.4.0 (September 2026)License: CC BY 4.0 Open AccessTaxonomy: Strict Desktop & Mobile SeparationRead Mathematical Methodology
Complete Catalog

Full Dataset (JSON)

Complete metadata, specifications, and performance indices for all 940+ hardware components.

Download JSON
GPU Reference

Graphics Cards (CSV)

640 graphics cards with VRAM, memory bus, platform class, and raster performance indices.

Download GPUs CSV
CPU Reference

Processors (CSV)

302 processors with cores, threads, clock speeds, launch years, and draw-call performance index.

Download CPUs CSV
Model NameBrandPlatformLaunch YearVRAMRaster Index
GeForce RTX 5090NVIDIADesktop202532 GB GDDR7100 / 100
GeForce RTX 5090 DNVIDIADesktop202532 GB GDDR7100 / 100
GeForce RTX 5090 D V2NVIDIADesktop202524 GB GDDR798 / 100
GeForce RTX 4090NVIDIADesktop202224 GB GDDR6X93 / 100
GeForce RTX 4090 DNVIDIADesktop202324 GB GDDR6X92 / 100
GeForce RTX 5080NVIDIADesktop202516 GB GDDR790 / 100
GeForce RTX 4080 SUPERNVIDIADesktop202416 GB GDDR6X88 / 100
GeForce RTX 5070 TiNVIDIADesktop202516 GB GDDR787 / 100
GeForce RTX 4070 Ti SUPERNVIDIADesktop202416 GB GDDR6X86 / 100
GeForce RTX 4070 Ti SUPER AD102NVIDIADesktop202416 GB GDDR6X86 / 100
GeForce RTX 3090 TiNVIDIADesktop202224 GB GDDR6X86 / 100
GeForce RTX 4080NVIDIADesktop202216 GB GDDR6X86 / 100
Radeon RX 7900 XTXAMDDesktop202224 GB GDDR684 / 100
GeForce RTX 3090NVIDIADesktop202024 GB GDDR6X84 / 100
GeForce RTX 3080 Ti 20 GBNVIDIADesktop202220 GB GDDR6X84 / 100
GeForce RTX 5070NVIDIADesktop202512 GB GDDR782 / 100
GeForce RTX 4070 TiNVIDIADesktop202312 GB GDDR6X82 / 100
GeForce RTX 4070 SUPERNVIDIADesktop202412 GB GDDR6X82 / 100
GeForce RTX 3080 12 GBNVIDIADesktop202212 GB GDDR6X82 / 100
GeForce RTX 3080 TiNVIDIADesktop202112 GB GDDR6X82 / 100
GeForce RTX 5090 MobileNVIDIALaptop202524 GB GDDR782 / 100
Radeon RX 7900 XTAMDDesktop202220 GB GDDR682 / 100
Radeon RX 9070 XTAMDDesktop202516 GB GDDR681 / 100
GeForce RTX 4070 AD103NVIDIADesktop202412 GB GDDR6X80 / 100
GeForce RTX 4070 GDDR6NVIDIADesktop202412 GB GDDR680 / 100
GeForce RTX 5060 Ti 16 GBNVIDIADesktop202516 GB GDDR779 / 100
GeForce RTX 4070NVIDIADesktop202312 GB GDDR6X79 / 100
Radeon RX 9070AMDDesktop202516 GB GDDR679 / 100
Radeon RX 7900 GREAMDDesktop202316 GB GDDR679 / 100
Radeon RX 6950 XTAMDDesktop202216 GB GDDR679 / 100
Showing top 30 matching records of 640 total.Export all 640 records to CSV →

Developer & Researcher Quickstart

Integrate raw hardware baseline data into Python, R, or web applications with a single call

Python (pandas)
import pandas as pd

# Load verified GPU dataset directly
gpus_df = pd.read_csv("https://calculatebottleneck.com/api/dataset?format=csv&type=gpu")
print(gpus_df[['name', 'memory_size_gb', 'performance_index']].head())
cURL / HTTP API
# Fetch JSON with metadata headers
curl -s "https://calculatebottleneck.com/api/dataset?type=cpu" \
  | jq '.data.cpus[0]'

Open Data Licensing

This hardware dataset is published under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. You are free to share, adapt, and build upon this data for personal, academic, or commercial research, provided appropriate attribution is cited.

Read how these metrics feed the DPI calculation engine →

How to Cite This Dataset

@dataset{calculatebottleneck_2026,
  author    = {CalculateBottleneck Research Group},
  title     = {Open PC Hardware Compatibility and Performance Benchmark Dataset},
  year      = {2026},
  version   = {2.4.0},
  publisher = {CalculateBottleneck.com},
  url       = {https://calculatebottleneck.com/dataset}
}