RESEARCH: CORE22-BENCHMARKING
FOLDING PROJECT #17116 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. It uses simple tasks to make sure core22 works well on all types of computers so developers can keep improving it.
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 works. In computer science, it's often used to compare different hardware or software systems and see which performs best. This can help developers improve their products and make them faster and more efficient.
hardware
The physical components of a computer system.
Hardware refers to the tangible parts of a computer, such as the processor, memory, storage drives, and graphics card. These components work together to execute instructions and process data.
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 tasks. It features advanced rendering capabilities and supports real-time ray tracing.
core22
A hypothetical software component or system.
Core22 is a placeholder term referring to a specific software component or system. Without further context, its exact function and purpose remain unclear.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Sunday, 26 April 2026 00:41:45|
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 4090 AD102 [GeForce RTX 4090] |
Nvidia | AD102 | 11,951,734 | 19,361 | 617.31 | 0 hrs 2 mins |
| 2 | GeForce RTX 4070 Ti AD104 [GeForce RTX 4070 Ti] |
Nvidia | AD104 | 9,930,403 | 20,425 | 486.19 | 0 hrs 3 mins |
| 3 | GeForce RTX 4080 AD103 [GeForce RTX 4080] |
Nvidia | AD103 | 9,148,461 | 22,306 | 410.13 | 0 hrs 4 mins |
| 4 | GeForce RTX 4070 AD104 [GeForce RTX 4070] |
Nvidia | AD104 | 7,183,108 | 19,199 | 374.14 | 0 hrs 4 mins |
| 5 | GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate] |
Nvidia | GA104 | 6,344,790 | 20,034 | 316.70 | 0 hrs 5 mins |
| 6 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 6,237,239 | 19,658 | 317.29 | 0 hrs 5 mins |
| 7 | GeForce RTX 3090 GA102 [GeForce RTX 3090] |
Nvidia | GA102 | 6,061,409 | 17,640 | 343.62 | 0 hrs 4 mins |
| 8 | GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate] |
Nvidia | GA102 | 5,746,945 | 18,950 | 303.27 | 0 hrs 5 mins |
| 9 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 5,623,563 | 18,969 | 296.46 | 0 hrs 5 mins |
| 10 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 5,353,339 | 17,946 | 298.30 | 0 hrs 5 mins |
| 11 | GeForce RTX 4060 Ti AD106 [GeForce RTX 4060 Ti] |
Nvidia | AD106 | 5,142,562 | 17,118 | 300.42 | 0 hrs 5 mins |
| 12 | Radeon RX 6900 XT Navi 21 [Radeon RX 6900 XT] |
AMD | Navi 21 | 4,376,960 | 17,601 | 248.68 | 0 hrs 6 mins |
| 13 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 3,940,404 | 17,363 | 226.94 | 0 hrs 6 mins |
| 14 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 3,523,642 | 16,247 | 216.88 | 0 hrs 7 mins |
| 15 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 3,507,698 | 16,062 | 218.38 | 0 hrs 7 mins |
| 16 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 3,147,963 | 15,277 | 206.06 | 0 hrs 7 mins |
| 17 | GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q] |
Nvidia | GA106M | 3,042,955 | 14,450 | 210.59 | 0 hrs 7 mins |
| 18 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 2,903,119 | 15,735 | 184.50 | 0 hrs 8 mins |
| 19 | Radeon RX 6800/6800XT/6900XT Navi 21 [Radeon RX 6800/6800XT/6900XT] |
AMD | Navi 21 | 2,746,486 | 15,043 | 182.58 | 0 hrs 8 mins |
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| 20 | GeForce RTX 3080 Mobile / Max-Q 8GB/16GB GA104M [GeForce RTX 3080 Mobile / Max-Q 8GB/16GB] |
Nvidia | GA104M | 2,424,823 | 13,816 | 175.51 | 0 hrs 8 mins |
| 21 | GeForce RTX 2080 Rev. A TU104 [GeForce RTX 2080 Rev. A] 10068 |
Nvidia | TU104 | 2,114,143 | 14,082 | 150.13 | 0 hrs 10 mins |
| 22 | RTX A2000 GA106 [RTX A2000] |
Nvidia | GA106 | 1,911,001 | 13,102 | 145.86 | 0 hrs 10 mins |
| 23 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,863,504 | 11,951 | 155.93 | 0 hrs 9 mins |
| 24 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 1,531,088 | 12,861 | 119.05 | 0 hrs 12 mins |
| 25 | Radeon RX 6700/6700XT/6800M Navi 22 XT-XL [Radeon RX 6700/6700XT/6800M] |
AMD | Navi 22 XT-XL | 1,521,606 | 11,444 | 132.96 | 0 hrs 11 mins |
| 26 | GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate] |
Nvidia | GA106 | 1,493,789 | 11,577 | 129.03 | 0 hrs 11 mins |
| 27 | R9 Fury X/NANO Fiji XT [R9 Fury X/NANO] |
AMD | Fiji XT | 1,019,172 | 10,146 | 100.45 | 0 hrs 14 mins |
| 28 | Radeon RX 6600/6600 XT/6600M Navi 23 XT-XL [Radeon RX 6600/6600 XT/6600M] |
AMD | Navi 23 XT-XL | 787,313 | 9,633 | 81.73 | 0 hrs 18 mins |
| 29 | GeForce GTX 970 GM204 [GeForce GTX 970] 3494 |
Nvidia | GM204 | 779,900 | 9,500 | 82.09 | 0 hrs 18 mins |
| 30 | GeForce GTX 1050 Ti GP107 [GeForce GTX 1050 Ti] 2138 |
Nvidia | GP107 | 607,226 | 9,320 | 65.15 | 0 hrs 22 mins |
| 31 | GeForce GTX 1650 TU116 [GeForce GTX 1650] 3091 |
Nvidia | TU116 | 398,900 | 4,755 | 83.89 | 0 hrs 17 mins |
| 32 | RX Vega M GL Polaris 22 XL [RX Vega M GL] |
AMD | Polaris 22 XL | 224,899 | 6,658 | 33.78 | 0 hrs 43 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Sunday, 26 April 2026 00:41:45|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|