RESEARCH: CORE22-BENCHMARKING
FOLDING PROJECT #17118 PROFILE

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

Note: Glossary items are a high level summary and may not be 100% accurate.

benchmarking

The process of evaluating the performance of a system.

Technical: Technology
Computer Science / Hardware Testing

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.

Technical: Technology
Computer Science / System Components

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.

Technical: Technology
Computer Science / Graphics Cards

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.

Technical: Technology
Computer Science / Software Development

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