RESEARCH: CORE22-BENCHMARKING
FOLDING PROJECT #17121 PROFILE

TLDR; PROJECT SUMMARY AI BETA

This project tests a new computer program called core22 on different types of hardware. It uses small tasks to check if there are any problems so the program can work better on all computers.

Note: This TLDR is a simplication and may not be 100% accurate.

OFFICAL PROJECT DESCRIPTION

This project contains a variety of benchmarking systems (with adjusted numbers of steps per system to give equal time/WU on an RTX 2080) to test and benchmark core22.

These WUs are very short and just used to detect issues with various hardware to ensure we can continue to improve core22 on all hardware.

RELATED TERMS GLOSSARY AI BETA

Note: Glossary items are a high level summary and may not be 100% accurate.

benchmarking

The process of testing and evaluating the performance of computer systems or hardware.

technical: technology
computing / hardware performance

Benchmarking is like a test for computers. It measures how fast and efficiently they can perform tasks. This helps developers and manufacturers improve their products.


RTX 2080

A high-performance graphics processing unit (GPU) produced by Nvidia.

hardware: technology
computing / graphics processing units (GPUs)

The RTX 2080 is a powerful graphics card used in gaming and other applications that require high-quality visuals. It's known for its ability to render complex images and videos smoothly.


core22

A specific processor architecture or core design.

software: technology
computing / processors, architecture

Core22 likely refers to a particular type of computer processor. Processors are the brains of computers and handle all the calculations and instructions.


hardware

The physical parts of a computer system.

technical: technology
computing / general components

Hardware are the tangible pieces of a computer, like the motherboard, processor, memory, and graphics card.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Sunday, 26 April 2026 00:41:38
Rank
Project
Model Name
Folding@Home Identifier
Make
Brand
GPU
Model
PPD
Average
Points WU
Average
WUs Day
Average
WU Time
Average
1 GeForce RTX 3090
GA102 [GeForce RTX 3090]
Nvidia GA102 10,371,077 20,565 504.31 0 hrs 3 mins
2 GeForce RTX 4080
AD103 [GeForce RTX 4080]
Nvidia AD103 10,278,299 1,000 10278.30 0 hrs 0 mins
3 GeForce RTX 4090
AD102 [GeForce RTX 4090]
Nvidia AD102 6,146,799 18,395 334.16 0 hrs 4 mins
4 GeForce RTX 2080 Ti Rev. A
TU102 [GeForce RTX 2080 Ti Rev. A] M 13448
Nvidia TU102 3,863,232 17,182 224.84 0 hrs 6 mins
5 Radeon RX 6700/6700XT/6800M
Navi 22 XT-XL [Radeon RX 6700/6700XT/6800M]
AMD Navi 22 XT-XL 2,744,562 1,000 2744.56 0 hrs 1 mins
6 GeForce RTX 2070 SUPER
TU104 [GeForce RTX 2070 SUPER] 8218
Nvidia TU104 2,662,156 1,000 2662.16 0 hrs 1 mins
7 GeForce GTX 1660 SUPER
TU116 [GeForce GTX 1660 SUPER]
Nvidia TU116 1,899,034 1,000 1899.03 0 hrs 1 mins

PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Sunday, 26 April 2026 00:41:38
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make