RESEARCH: CORE22-BENCHMARKING
FOLDING PROJECT #17111 PROFILE
PROJECT TEAM
Manager(s): Dr. John ChoderaInstitution: Memorial Sloan Kettering Cancer Center
Project URL: View Project Website
WORK UNIT INFO
Atoms: 50,000Core: 0x22
Status: Beta
Related Projects
TLDR; PROJECT SUMMARY AI BETA
This project tests the new core22 system on different computer hardware using short tasks. The goal is to find any problems with core22 so it can work better 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 or component.
Benchmarking is a way to measure how well something performs. In computer science, it's often used to compare different hardware or software systems and see which one is faster or more efficient.
RTX 2080
A high-performance graphics processing unit (GPU) manufactured by NVIDIA.
The RTX 2080 is a powerful graphics card made by NVIDIA. It's used in gaming computers and workstations to render complex graphics and videos.
core22
A software project or product that is being developed.
core22 is likely a piece of software under development. The text suggests it's being tested and improved.
Hardware
The physical components of a computer system.
Hardware refers to the tangible parts of a computer, like the processor, memory, and graphics card. It's what makes the computer work.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Sunday, 26 April 2026 00:41:48|
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 | 7,381,543 | 20,395 | 361.93 | 0 hrs 4 mins |
| 2 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 6,999,217 | 20,220 | 346.15 | 0 hrs 4 mins |
| 3 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 3,683,634 | 15,824 | 232.79 | 0 hrs 6 mins |
| 4 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 2,360,097 | 15,049 | 156.83 | 0 hrs 9 mins |
| 5 | GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate] |
Nvidia | GA104 | 1,788,153 | 13,128 | 136.21 | 0 hrs 11 mins |
| 6 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,395,421 | 12,556 | 111.14 | 0 hrs 13 mins |
| 7 | Tesla M40 GM200GL [Tesla M40] 6844 |
Nvidia | GM200GL | 1,225,893 | 11,407 | 107.47 | 0 hrs 13 mins |
| 8 | Radeon VII Vega 20 [Radeon VII] 13,284 |
AMD | Vega 20 | 1,051,298 | 11,391 | 92.29 | 0 hrs 16 mins |
| 9 | UHD Graphics CML GT2 [UHD Graphics] |
Intel | CML GT2 | 14,094 | 2,752 | 5.12 | 4 hrs 41 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Sunday, 26 April 2026 00:41:48|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|