RESEARCH: CORE22-BENCHMARKING
FOLDING PROJECT #17118 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 a new computer program called core22 on different hardware to make sure it works well everywhere. It uses short, simple tasks to find any problems so the program can be improved.
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.
Benchmarking involves testing and comparing different systems or components to determine their relative performance. This is often used in software development and hardware design to identify areas for improvement and ensure optimal functionality.
hardware
The physical components of a computer system.
Hardware refers to the tangible parts of a computer that can be physically touched. This includes components like the processor, memory, storage drives, graphics card, and peripherals such as keyboards, mice, and monitors.
RTX 2080
A high-performance graphics processing unit (GPU) manufactured by Nvidia.
The RTX 2080 is a powerful graphics card designed for gaming and other demanding visual applications. It features advanced ray tracing capabilities and high frame rates, making it suitable for immersive experiences.
core22
A specific version or iteration of a software project.
Core22 likely refers to a particular stage or release of a software application. In software development, naming conventions often use sequential numbers to indicate different versions or iterations.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Sunday, 26 April 2026 00:41:43|
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 4080 AD103 [GeForce RTX 4080] |
Nvidia | AD103 | 22,565,213 | 24,216 | 931.83 | 0 hrs 2 mins |
| 2 | GeForce RTX 4070 Ti AD104 [GeForce RTX 4070 Ti] |
Nvidia | AD104 | 9,501,663 | 20,030 | 474.37 | 0 hrs 3 mins |
| 3 | GeForce RTX 4090 AD102 [GeForce RTX 4090] |
Nvidia | AD102 | 9,081,864 | 18,784 | 483.49 | 0 hrs 3 mins |
| 4 | GeForce RTX 3090 GA102 [GeForce RTX 3090] |
Nvidia | GA102 | 6,344,040 | 19,169 | 330.95 | 0 hrs 4 mins |
| 5 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 5,710,820 | 18,581 | 307.35 | 0 hrs 5 mins |
| 6 | GeForce RTX 4070 AD104 [GeForce RTX 4070] |
Nvidia | AD104 | 4,615,823 | 18,091 | 255.14 | 0 hrs 6 mins |
| 7 | Radeon RX 6900 XT Navi 21 [Radeon RX 6900 XT] |
AMD | Navi 21 | 3,992,182 | 16,232 | 245.95 | 0 hrs 6 mins |
| 8 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 3,873,511 | 17,044 | 227.27 | 0 hrs 6 mins |
| 9 | GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate] |
Nvidia | GA102 | 3,589,923 | 15,897 | 225.82 | 0 hrs 6 mins |
| 10 | Radeon RX 6800/6800XT/6900XT Navi 21 [Radeon RX 6800/6800XT/6900XT] |
AMD | Navi 21 | 3,272,233 | 15,243 | 214.67 | 0 hrs 7 mins |
| 11 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 3,179,631 | 11,583 | 274.51 | 0 hrs 5 mins |
| 12 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 3,176,771 | 13,953 | 227.68 | 0 hrs 6 mins |
| 13 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 3,024,000 | 1,000 | 3024.00 | 0 hrs 0 mins |
| 14 | TITAN V GV100 [TITAN V] M 12288 |
Nvidia | GV100 | 2,927,258 | 14,660 | 199.68 | 0 hrs 7 mins |
| 15 | GeForce RTX 2080 Super TU104 [GeForce RTX 2080 SUPER] |
Nvidia | TU104 | 2,795,534 | 14,052 | 198.94 | 0 hrs 7 mins |
| 16 | GeForce RTX 4060 Max-Q / Mobile AD107M [GeForce RTX 4060 Max-Q / Mobile] |
Nvidia | AD107M | 2,552,425 | 14,673 | 173.95 | 0 hrs 8 mins |
| 17 | GeForce RTX 3060 GA106 [GeForce RTX 3060] |
Nvidia | GA106 | 2,528,355 | 14,564 | 173.60 | 0 hrs 8 mins |
| 18 | TITAN Xp GP102 [TITAN Xp] 12150 |
Nvidia | GP102 | 2,130,517 | 13,558 | 157.14 | 0 hrs 9 mins |
| 19 | Radeon RX 6700/6700XT/6800M Navi 22 XT-XL [Radeon RX 6700/6700XT/6800M] |
AMD | Navi 22 XT-XL | 1,895,000 | 12,154 | 155.92 | 0 hrs 9 mins |
|
|
|||||||
| 20 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,313,633 | 11,553 | 113.70 | 0 hrs 13 mins |
| 21 | Radeon Pro W5700 Navi 10 [Radeon Pro W5700] |
AMD | Navi 10 | 1,044,542 | 9,000 | 116.06 | 0 hrs 12 mins |
| 22 | RX 5600 OEM/5600XT/5700/5700XT Navi 10 [RX 5600 OEM/5600XT/5700/5700XT] |
AMD | Navi 10 | 976,292 | 10,633 | 91.82 | 0 hrs 16 mins |
| 23 | GeForce GTX 1050 Ti GP107 [GeForce GTX 1050 Ti] 2138 |
Nvidia | GP107 | 666,669 | 9,491 | 70.24 | 0 hrs 21 mins |
| 24 | Radeon RX 580 2048SP Polaris 20 XL [Radeon RX 580 2048SP] |
AMD | Polaris 20 XL | 451,849 | 7,673 | 58.89 | 0 hrs 24 mins |
| 25 | RX 470/480/570/580/590 Ellesmere XT [RX 470/480/570/580/590] |
AMD | Ellesmere XT | 434,512 | 7,870 | 55.21 | 0 hrs 26 mins |
| 26 | GeForce GTX 1650 Mobile / Max-Q TU117M [GeForce GTX 1650 Mobile / Max-Q] |
Nvidia | TU117M | 413,664 | 8,106 | 51.03 | 0 hrs 28 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Sunday, 26 April 2026 00:41:43|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|