RESEARCH: FORCE-FIELD-PROTEIN-DYNAMICS
FOLDING PROJECT #18236 PROFILE
PROJECT TEAM
Manager(s): Justin MillerInstitution: University of Pennsylvania
WORK UNIT INFO
Atoms: 117,186Core: 0x24
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
This project tests different computer models used to simulate how molecules move. They use a protein called T4 Lysozyme as a test subject because scientists already know a lot about it. The goal is to improve these models so they can better predict how proteins fold and behave.
Note: This TLDR is a simplication and may not be 100% accurate.OFFICAL PROJECT DESCRIPTION
Force fields aren't only a thing in far off galaxies, but are also an integral part of molecular dynamics simulations.
Principally, molecular dynamics simulations are evaluating Newton's laws of motion iteratively.
Each atom in the simulation is given a position, velocity, and has some forces acting upon it.
We then take a short step forward in time (often 2-4 femtoseconds), update the positions of each atom based on the last known position, velocity, and acceleration, before re-evaluating the forces acting upon each atom.
Repeating this millions to trillions of times (or more), gives us a physics-based movie of atoms moving which we use to give insight into the behavior of our favorite proteins. One of the fundamental steps of this process is calculating the forces on each atom.
The collective model describing how to calculate these forces is called a force field.
Through the years, many force fields have been derived and refined, each one focusing on improving certain forces or behaviors of the simulation.
While tests are usually performed when force fields are redeveloped, it is difficult to achieve robust sampling (e.g.
many observations of rare events).
Here, we are continuing our efforts to catalog the performance and accuracy of these force fields.
In this project series, we use the well studied protein, T4 Lysozyme, as our test model.
Lysozyme is an antibacterial protein which destroys bacterial cell walls.
Lysozyme is an ideal system to use for evaluating force fields as many biophysical measurements have been performed on the system and several rare conformations (folds) of the protein have been observed.
We expect that our findings in this project series, along with the similar project series 18227-18230 and 18250-18255, will provide a strong benchmark to improve the accuracy in simulations, both on Folding@home as well as in the broader scientific community, to come. We are testing the following force field/water combinations in this project series.
If you are particularly excited about additional force field/water combinations, please reach out. 18235- Amber03 with TIP3P water 18236- Amber14sb with TIP3P water 18237- Amber19sb with OPC water 18238- Charmm36m with TIP3P water 18239- Amber99SB-star-ILDN with TIP4PD water 18240- Amber99SB-disp with TIP4PD-1.6 water.
RELATED TERMS GLOSSARY AI BETA
Force fields
A computational model describing atomic interactions in a simulation.
Force fields are mathematical models used in computer simulations to represent the interactions between atoms. They are essential for accurately simulating the behavior of molecules and are widely used in drug discovery, materials science, and other fields.
Molecular dynamics
A computer simulation method used to study the movement and interactions of atoms and molecules over time.
Molecular dynamics simulations are a powerful tool for understanding how molecules behave. By simulating the motion of atoms and molecules, scientists can gain insights into processes such as protein folding, drug binding, and chemical reactions.
Newton's laws of motion
A set of three fundamental principles describing the relationship between a body and the forces acting upon it.
Newton's laws of motion are the foundation of classical mechanics. They explain how objects move in response to forces and describe concepts such as inertia, acceleration, and momentum.
Femtoseconds
A unit of time equal to 10^-15 seconds.
Femtoseconds are extremely short durations of time. They are often used to measure the incredibly fast processes that occur in atomic and molecular systems.
Protein
A large biomolecule composed of chains of amino acids.
Proteins are essential macromolecules that perform a vast array of functions in living organisms. They act as enzymes, structural components, hormones, and transporters, among other roles.
T4 Lysozyme
A bacteriolytic enzyme that breaks down bacterial cell walls.
T4 lysozyme is a well-studied enzyme that has important applications in medicine and research. It is used to combat bacterial infections and as a model system for studying protein structure and function.
Antibacterial
Relating to the inhibition or destruction of bacteria.
Antibacterial refers to substances or treatments that are effective against bacteria. These include antibiotics and other antimicrobial agents.
Conformations
Different three-dimensional shapes that a molecule can adopt.
Conformations are the various spatial arrangements of atoms within a molecule. They play a crucial role in protein function and stability.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Sunday, 26 April 2026 00:31:07|
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 | 18,380,793 | 286,358 | 64.19 | 0 hrs 22 mins |
| 2 | GeForce RTX 4080 SUPER AD103 [GeForce RTX 4080 SUPER] |
Nvidia | AD103 | 16,076,742 | 120,739 | 133.15 | 0 hrs 11 mins |
| 3 | GeForce RTX 4080 AD103 [GeForce RTX 4080] |
Nvidia | AD103 | 13,998,659 | 427,187 | 32.77 | 0 hrs 44 mins |
| 4 | GeForce RTX 4070 Ti SUPER AD103 [GeForce RTX 4070 Ti SUPER] |
Nvidia | AD103 | 11,916,359 | 354,657 | 33.60 | 0 hrs 43 mins |
| 5 | GeForce RTX 4070 Ti AD104 [GeForce RTX 4070 Ti] |
Nvidia | AD104 | 11,642,795 | 239,475 | 48.62 | 0 hrs 30 mins |
| 6 | GeForce RTX 4070 SUPER AD104 [GeForce RTX 4070 SUPER] |
Nvidia | AD104 | 10,559,449 | 163,388 | 64.63 | 0 hrs 22 mins |
| 7 | GeForce RTX 3090 GA102 [GeForce RTX 3090] |
Nvidia | GA102 | 9,140,056 | 378,505 | 24.15 | 0 hrs 60 mins |
| 8 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 8,347,733 | 167,446 | 49.85 | 0 hrs 29 mins |
| 9 | RTX 5000 Ada Generation Laptop GPU AD103GLM [RTX 5000 Ada Generation Laptop GPU] |
Nvidia | AD103GLM | 8,198,935 | 376,883 | 21.75 | 1 hrs 6 mins |
| 10 | GeForce RTX 4070 AD104 [GeForce RTX 4070] |
Nvidia | AD104 | 7,959,110 | 377,682 | 21.07 | 1 hrs 8 mins |
| 11 | GeForce RTX 3080 12GB GA102 [GeForce RTX 3080 12GB] |
Nvidia | GA102 | 7,350,412 | 364,284 | 20.18 | 1 hrs 11 mins |
| 12 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 7,140,546 | 314,977 | 22.67 | 1 hrs 4 mins |
| 13 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 6,354,662 | 85,171 | 74.61 | 0 hrs 19 mins |
| 14 | GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate] |
Nvidia | GA102 | 6,249,515 | 120,027 | 52.07 | 0 hrs 28 mins |
| 15 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 6,040,196 | 65,514 | 92.20 | 0 hrs 16 mins |
| 16 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 5,820,558 | 153,531 | 37.91 | 0 hrs 38 mins |
| 17 | TITAN V GV100 [TITAN V] M 12288 |
Nvidia | GV100 | 5,391,980 | 42,450 | 127.02 | 0 hrs 11 mins |
| 18 | GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate] |
Nvidia | GA104 | 5,162,006 | 253,206 | 20.39 | 1 hrs 11 mins |
| 19 | Radeon RX 7900XT/XTX/GRE Navi 31 [Radeon RX 7900XT/XTX/GRE] |
AMD | Navi 31 | 4,857,021 | 65,071 | 74.64 | 0 hrs 19 mins |
|
|
|||||||
| 20 | Radeon RX 6950 XT Navi 21 [Radeon RX 6950 XT] |
AMD | Navi 21 | 4,244,003 | 122,850 | 34.55 | 0 hrs 42 mins |
| 21 | Radeon RX 6800(XT)/6900XT Navi 21 [Radeon RX 6800(XT)/6900XT] |
AMD | Navi 21 | 4,143,253 | 130,065 | 31.86 | 0 hrs 45 mins |
| 22 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 3,876,540 | 269,856 | 14.37 | 1 hrs 40 mins |
| 23 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 3,868,804 | 156,174 | 24.77 | 0 hrs 58 mins |
| 24 | GeForce RTX 3060 Ti GA104 [GeForce RTX 3060 Ti] |
Nvidia | GA104 | 3,729,510 | 101,792 | 36.64 | 0 hrs 39 mins |
| 25 | Radeon RX 7700XT/7800XT Navi 32 [Radeon RX 7700XT/7800XT] |
AMD | Navi 32 | 3,651,872 | 74,047 | 49.32 | 0 hrs 29 mins |
| 26 | Radeon RX 6800/6800XT/6900XT Navi 21 [Radeon RX 6800/6800XT/6900XT] |
AMD | Navi 21 | 3,519,725 | 185,300 | 18.99 | 1 hrs 16 mins |
| 27 | GeForce RTX 4060 AD107 [GeForce RTX 4060] |
Nvidia | AD107 | 3,498,470 | 227,359 | 15.39 | 1 hrs 34 mins |
| 28 | GeForce RTX 2080 Super TU104 [GeForce RTX 2080 Super] |
Nvidia | TU104 | 3,417,549 | 51,033 | 66.97 | 0 hrs 22 mins |
| 29 | Radeon RX 9070(XT) Navi 48 [Radeon RX 9070(XT)] |
AMD | Navi 48 | 3,371,019 | 42,450 | 79.41 | 0 hrs 18 mins |
| 30 | GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A] |
Nvidia | TU106 | 3,276,548 | 42,450 | 77.19 | 0 hrs 19 mins |
| 31 | GeForce RTX 2070 TU106 [GeForce RTX 2070] |
Nvidia | TU106 | 3,031,639 | 250,714 | 12.09 | 1 hrs 59 mins |
| 32 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 2,943,838 | 222,226 | 13.25 | 1 hrs 49 mins |
| 33 | GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate] |
Nvidia | GA106 | 2,807,353 | 212,343 | 13.22 | 1 hrs 49 mins |
| 34 | GeForce RTX 4060 Max-Q / Mobile AD107M [GeForce RTX 4060 Max-Q / Mobile] |
Nvidia | AD107M | 2,671,847 | 258,540 | 10.33 | 2 hrs 19 mins |
| 35 | GeForce RTX 2060 12GB TU106 [GeForce RTX 2060 12GB] |
Nvidia | TU106 | 2,670,160 | 42,450 | 62.90 | 0 hrs 23 mins |
| 36 | GeForce RTX 3060 GA104 [GeForce RTX 3060] |
Nvidia | GA104 | 2,596,686 | 42,450 | 61.17 | 0 hrs 24 mins |
| 37 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 Super] |
Nvidia | TU106 | 2,546,773 | 220,655 | 11.54 | 2 hrs 5 mins |
| 38 | Quadro RTX 4000 TU104GL [Quadro RTX 4000] |
Nvidia | TU104GL | 2,450,087 | 42,450 | 57.72 | 0 hrs 25 mins |
| 39 | RTX 2000 Ada Generation Laptop GPU AD107GLM [RTX 2000 Ada Generation Laptop GPU] |
Nvidia | AD107GLM | 2,401,681 | 253,010 | 9.49 | 2 hrs 32 mins |
|
|
|||||||
| 40 | GeForce GTX 750 Ti GM107 [GeForce GTX 750 Ti] 1389 |
Nvidia | GM107 | 2,359,517 | 42,450 | 55.58 | 0 hrs 26 mins |
| 41 | GeForce RTX 2070 Mobile / Max-Q Refresh TU106M [GeForce RTX 2070 Mobile / Max-Q Refresh] |
Nvidia | TU106M | 2,294,524 | 243,633 | 9.42 | 2 hrs 33 mins |
| 42 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 2,283,710 | 191,979 | 11.90 | 2 hrs 1 mins |
| 43 | GeForce RTX 4060 Ti AD106 [GeForce RTX 4060 Ti] |
Nvidia | AD106 | 2,241,853 | 224,510 | 9.99 | 2 hrs 24 mins |
| 44 | Radeon RX 6700/6700XT/6800M Navi 22 XT-XL [Radeon RX 6700/6700XT/6800M] |
AMD | Navi 22 XT-XL | 2,212,000 | 68,638 | 32.23 | 0 hrs 45 mins |
| 45 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 2,206,873 | 60,602 | 36.42 | 0 hrs 40 mins |
| 46 | GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q] |
Nvidia | GA106M | 2,194,771 | 201,616 | 10.89 | 2 hrs 12 mins |
| 47 | Quadro P6000 GP102GL [Quadro P6000] |
Nvidia | GP102GL | 2,143,388 | 42,450 | 50.49 | 0 hrs 29 mins |
| 48 | Radeon RX 6700(XT)/6800M Navi 22 XT-XL [Radeon RX 6700(XT)/6800M] |
AMD | Navi 22 XT-XL | 1,974,173 | 46,497 | 42.46 | 0 hrs 34 mins |
| 49 | Radeon RX 7700S/7600S Navi 33 [Radeon RX 7700S/7600S] |
AMD | Navi 33 | 1,963,731 | 42,450 | 46.26 | 0 hrs 31 mins |
| 50 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 1,911,949 | 67,435 | 28.35 | 0 hrs 51 mins |
| 51 | Radeon RX 7700S/7600(S) Navi 33 [Radeon RX 7700S/7600(S)] |
AMD | Navi 33 | 1,749,247 | 217,997 | 8.02 | 2 hrs 59 mins |
| 52 | Radeon RX 6600/6600 XT/6600M Navi 23 XT-XL [Radeon RX 6600/6600 XT/6600M] |
AMD | Navi 23 XT-XL | 1,645,577 | 111,824 | 14.72 | 1 hrs 38 mins |
| 53 | Radeon RX 6650XT Navi 23 [Radeon RX 6650XT] |
AMD | Navi 23 | 1,625,659 | 211,804 | 7.68 | 3 hrs 8 mins |
| 54 | GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti] |
Nvidia | TU116 | 1,563,857 | 63,698 | 24.55 | 0 hrs 59 mins |
| 55 | GeForce RTX 3050 8GB GA107 [GeForce RTX 3050 8GB] |
Nvidia | GA107 | 1,559,457 | 220,455 | 7.07 | 3 hrs 24 mins |
| 56 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 1,550,513 | 167,283 | 9.27 | 2 hrs 35 mins |
| 57 | RTX A2000 12GB GA106 [RTX A2000 12GB] |
Nvidia | GA106 | 1,536,176 | 42,450 | 36.19 | 0 hrs 40 mins |
| 58 | Quadro P5000 GP104GL [Quadro P5000] |
Nvidia | GP104GL | 1,532,902 | 42,450 | 36.11 | 0 hrs 40 mins |
| 59 | GeForce RTX 2060 Mobile TU106M [GeForce RTX 2060 Mobile] |
Nvidia | TU106M | 1,500,943 | 205,506 | 7.30 | 3 hrs 17 mins |
|
|
|||||||
| 60 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 1,430,867 | 81,370 | 17.58 | 1 hrs 22 mins |
| 61 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 1,398,713 | 186,548 | 7.50 | 3 hrs 12 mins |
| 62 | Radeon RX 6600(XT/M) Navi 23 XT-XL [Radeon RX 6600(XT/M)] |
AMD | Navi 23 XT-XL | 1,382,420 | 193,106 | 7.16 | 3 hrs 21 mins |
| 63 | P104-100 GP104 [P104-100] |
Nvidia | GP104 | 1,373,091 | 42,450 | 32.35 | 0 hrs 45 mins |
| 64 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,347,827 | 89,463 | 15.07 | 1 hrs 36 mins |
| 65 | GeForce RTX 3050 Ti Mobile GA107M [GeForce RTX 3050 Ti Mobile] |
Nvidia | GA107M | 1,293,145 | 205,870 | 6.28 | 3 hrs 49 mins |
| 66 | RTX A1000 GA107GL [RTX A1000] |
Nvidia | GA107GL | 1,188,516 | 42,450 | 28.00 | 0 hrs 51 mins |
| 67 | Radeon Pro W5700 Navi 10 [Radeon Pro W5700] |
AMD | Navi 10 | 1,178,340 | 192,732 | 6.11 | 3 hrs 56 mins |
| 68 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,120,746 | 147,552 | 7.60 | 3 hrs 10 mins |
| 69 | GeForce RTX 3050 6GB GA107 [GeForce RTX 3050 6GB] |
Nvidia | GA107 | 1,052,275 | 42,450 | 24.79 | 0 hrs 58 mins |
| 70 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,001,676 | 48,049 | 20.85 | 1 hrs 9 mins |
| 71 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 964,332 | 54,858 | 17.58 | 1 hrs 22 mins |
| 72 | GeForce GTX 960 GM206 [GeForce GTX 960] 2308 |
Nvidia | GM206 | 957,530 | 42,450 | 22.56 | 1 hrs 4 mins |
| 73 | GeForce GTX 1660 Mobile TU116M [GeForce GTX 1660 Mobile] |
Nvidia | TU116M | 925,321 | 164,847 | 5.61 | 4 hrs 17 mins |
| 74 | RX 5600 OEM/5600XT/5700(XT) Navi 10 [RX 5600 OEM/5600XT/5700(XT)] |
AMD | Navi 10 | 924,887 | 184,205 | 5.02 | 4 hrs 47 mins |
| 75 | GeForce RTX 3050 Mobile GA107M [GeForce RTX 3050 Mobile] |
Nvidia | GA107M | 852,556 | 42,450 | 20.08 | 1 hrs 12 mins |
| 76 | Quadro P3200 Mobile GP104GLM [Quadro P3200 Mobile] |
Nvidia | GP104GLM | 826,325 | 58,843 | 14.04 | 1 hrs 43 mins |
| 77 | Geforce RTX 3050 GA106 [Geforce RTX 3050] |
Nvidia | GA106 | 823,164 | 42,450 | 19.39 | 1 hrs 14 mins |
| 78 | P106-100 GP106 [P106-100] |
Nvidia | GP106 | 810,913 | 103,252 | 7.85 | 3 hrs 3 mins |
| 79 | GeForce GTX 980 GM204 [GeForce GTX 980] 4612 |
Nvidia | GM204 | 803,695 | 42,450 | 18.93 | 1 hrs 16 mins |
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| 80 | RX 5600 OEM/5600XT/5700/5700XT Navi 10 [RX 5600 OEM/5600XT/5700/5700XT] |
AMD | Navi 10 | 794,718 | 173,924 | 4.57 | 5 hrs 15 mins |
| 81 | Tesla P4 GP104GL [Tesla P4] 5704 |
Nvidia | GP104GL | 793,203 | 170,437 | 4.65 | 5 hrs 9 mins |
| 82 | GeForce GTX 1060 3GB GP106 [GeForce GTX 1060 3GB] 3935 |
Nvidia | GP106 | 775,271 | 170,980 | 4.53 | 5 hrs 18 mins |
| 83 | GeForce GTX 1650 SUPER TU116 [GeForce GTX 1650 SUPER] |
Nvidia | TU116 | 735,125 | 165,384 | 4.44 | 5 hrs 24 mins |
| 84 | GeForce GTX 970 GM204 [GeForce GTX 970] 3494 |
Nvidia | GM204 | 722,095 | 45,471 | 15.88 | 1 hrs 31 mins |
| 85 | Quadro P4000 GP104GL [Quadro P4000] |
Nvidia | GP104GL | 699,154 | 42,450 | 16.47 | 1 hrs 27 mins |
| 86 | P106-090 GP106 [P106-090] |
Nvidia | GP106 | 651,724 | 42,450 | 15.35 | 1 hrs 34 mins |
| 87 | GeForce GTX Titan X GM200 [GeForce GTX Titan X] 6144 |
Nvidia | GM200 | 635,967 | 42,450 | 14.98 | 1 hrs 36 mins |
| 88 | GeForce GTX 1650 Mobile / Max-Q TU117M [GeForce GTX 1650 Mobile / Max-Q] |
Nvidia | TU117M | 609,834 | 53,409 | 11.42 | 2 hrs 6 mins |
| 89 | Quadro T1000 Mobile TU117GLM [Quadro T1000 Mobile] |
Nvidia | TU117GLM | 601,427 | 42,450 | 14.17 | 1 hrs 42 mins |
| 90 | GeForce GTX 980M GM204 [GeForce GTX 980M] 3189 |
Nvidia | GM204 | 601,287 | 42,450 | 14.16 | 1 hrs 42 mins |
| 91 | RX 5500/5500M/Pro 5500M Navi 14 [RX 5500/5500M/Pro 5500M] |
AMD | Navi 14 | 581,586 | 157,202 | 3.70 | 6 hrs 29 mins |
| 92 | GeForce GTX 1650 TU116 [GeForce GTX 1650] 3091 |
Nvidia | TU116 | 572,534 | 42,450 | 13.49 | 1 hrs 47 mins |
| 93 | GeForce GTX 1650 TU106 [GeForce GTX 1650] |
Nvidia | TU106 | 559,610 | 42,450 | 13.18 | 1 hrs 49 mins |
| 94 | RX 5500(M)/Pro 5500M Navi 14 [RX 5500(M)/Pro 5500M] |
AMD | Navi 14 | 507,000 | 47,388 | 10.70 | 2 hrs 15 mins |
| 95 | GeForce GTX 1650 Ti Mobile TU117M [GeForce GTX 1650 Ti Mobile] |
Nvidia | TU117M | 489,717 | 146,979 | 3.33 | 7 hrs 12 mins |
| 96 | GeForce GTX 1650 TU117 [GeForce GTX 1650] |
Nvidia | TU117 | 406,721 | 42,450 | 9.58 | 2 hrs 30 mins |
| 97 | GeForce GTX 1050 Ti GP107 [GeForce GTX 1050 Ti] 2138 |
Nvidia | GP107 | 370,501 | 44,033 | 8.41 | 2 hrs 51 mins |
| 98 | GeForce GTX 1050 3 GB Max-Q GP107M [GeForce GTX 1050 3 GB Max-Q] |
Nvidia | GP107M | 330,557 | 128,843 | 2.57 | 9 hrs 21 mins |
| 99 | GeForce GTX Titan Black GK110 [GeForce GTX Titan Black] 5121 |
Nvidia | GK110 | 286,054 | 140,692 | 2.03 | 11 hrs 48 mins |
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| 100 | GeForce GTX 1050 LP GP107 [GeForce GTX 1050 LP] 1862 |
Nvidia | GP107 | 280,010 | 122,545 | 2.28 | 10 hrs 30 mins |
| 101 | Quadro P1000 GP107GL [Quadro P1000] |
Nvidia | GP107GL | 256,597 | 42,450 | 6.04 | 3 hrs 58 mins |
| 102 | GeForce GTX 1050 Ti Mobile GP107M [GeForce GTX 1050 Ti Mobile] |
Nvidia | GP107M | 240,185 | 116,880 | 2.05 | 11 hrs 41 mins |
| 103 | Quadro K1200 GM107GL [Quadro K1200] |
Nvidia | GM107GL | 217,992 | 51,570 | 4.23 | 5 hrs 41 mins |
| 104 | Quadro P620 GP107GL [Quadro P620] |
Nvidia | GP107GL | 186,235 | 107,747 | 1.73 | 13 hrs 53 mins |
| 105 | GeForce GTX 670/GTX 760Ti OEM GK104 [GeForce GTX 670/GTX 760Ti OEM] 2634 |
Nvidia | GK104 | 163,138 | 42,450 | 3.84 | 6 hrs 15 mins |
| 106 | GeForce GTX 660 Ti GK104 [GeForce GTX 660 Ti] 2634 |
Nvidia | GK104 | 131,990 | 42,450 | 3.11 | 7 hrs 43 mins |
| 107 | GeForce GT 1030 GP108 [GeForce GT 1030] |
Nvidia | GP108 | 120,770 | 42,450 | 2.84 | 8 hrs 26 mins |
| 108 | GeForce MX150 GP108 [GeForce MX150] |
Nvidia | GP108 | 118,868 | 42,450 | 2.80 | 8 hrs 34 mins |
| 109 | Ryzen 7000 Series iGPU Raphael [Ryzen 7000 Series iGPU] |
AMD | Raphael | 110,409 | 42,450 | 2.60 | 9 hrs 14 mins |
| 110 | Quadro P2000 GP106GL [Quadro P2000] [MED-XN71] 3935 |
Nvidia | GP106GL | 100,942 | 42,450 | 2.38 | 10 hrs 6 mins |
| 111 | GeForce MX130 GM108M [GeForce MX130] |
Nvidia | GM108M | 61,822 | 74,997 | 0.82 | 29 hrs 7 mins |
| 112 | Quadro P400 GP107GL [Quadro P400] |
Nvidia | GP107GL | 59,344 | 73,593 | 0.81 | 29 hrs 46 mins |
| 113 | GeForce GT 730 GK208B [GeForce GT 730] 692.7 |
Nvidia | GK208B | 30,108 | 42,450 | 0.71 | 33 hrs 50 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Sunday, 26 April 2026 00:31:07|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|---|---|---|---|---|
| 1 | CORE I5-9400F CPU @ 2.90GHZ | 6 | Intel | ||
| 2 | RYZEN 7 5700X 8-CORE | 16 | AMD |