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Research: CORE22-BENCHMARKING Folding Project #17107

Project #17107 overview

Project Summary AI Beta

This project has short tasks designed to test how well core22 software works on different computer hardware. The goal is to find any problems and make core22 even better on all types of 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
OPENMM_22
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 17107

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

Data as of Sunday, 02 August 2026 22:00:12

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 5,742,304 19,939 287.99 0 hrs 5 mins
2 GeForce RTX 3070 Ti
GA104 [GeForce RTX 3070 Ti]		 Nvidia GA104 3,467,147 16,052 215.99 0 hrs 7 mins
3 GeForce RTX 3070
GA104 [GeForce RTX 3070]		 Nvidia GA104 2,717,569 15,727 172.80 0 hrs 8 mins