RESEARCH: CORE22-BENCHMARKING
FOLDING PROJECT #17119 PROFILE
PROJECT TEAM
Manager(s): Dr. John ChoderaInstitution: Memorial Sloan Kettering Cancer Center
Project URL: View Project Website
WORK UNIT INFO
Atoms: 50,000Core: 0x23
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
This project tests the performance of a new program called core22 on different computer hardware. It uses short tasks to find any problems and make sure core22 works well on all types of 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
benchmarking
The process of evaluating the performance of a system, algorithm, or component.
Benchmarking is like a test to see how well something works. It involves comparing different systems or algorithms to see which one performs better under specific conditions. This helps developers and engineers understand the strengths and weaknesses of various technologies and make informed decisions about which ones to use.
RTX 2080
A high-performance graphics card manufactured by Nvidia.
The RTX 2080 is a powerful graphics card designed for gaming and other graphically intensive tasks. It features advanced technologies like ray tracing and AI-powered upscaling, which enhance the visual quality of games and applications.
core22
Core22 refers to a specific version or iteration of a machine learning model.
Core22 is likely a particular version of a machine learning algorithm or model. These models are used for various tasks such as image recognition, natural language processing, and prediction.
hardware
The physical components of a computer system.
Hardware refers to the tangible parts of a computer, such as the processor, memory, storage devices, and input/output peripherals. It is the foundation upon which software operates.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Sunday, 26 April 2026 00:41:41|
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 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 3,583,126 | 17,088 | 209.69 | 0 hrs 7 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Sunday, 26 April 2026 00:41:41|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|