Research section Research projects and references

Research: CORE22-BENCHMARKING Folding Project #17121

Project #17121 overview

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.
Automated summary; simplified and may not be fully accurate.

Project team

Manager(s)
Dr. John Chodera
Institution
Memorial Sloan Kettering Cancer Center

Work unit

Atoms
50,000
Core
0x24
Status
Public
Source material

Official 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.

Performance data

Hardware Performance for Project 17121

Compare community-sampled Folding@Home output for the GPUs and CPUs processing this project.

Data as of Sunday, 02 August 2026 22:00:04

GPU PPD Averages

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