RESEARCH: FORCE-FIELD-PROTEIN-DYNAMICS
FOLDING PROJECT #18238 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
The project uses computer simulations to study how proteins move and fold. Scientists are testing different simulation methods (called force fields) by looking at a protein called T4 Lysozyme, which helps fight bacteria. This research will help improve simulations and our understanding of how proteins work.
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 used in molecular dynamics simulations to describe the interactions between atoms.
Force fields are mathematical models that define how atoms interact with each other. They are essential for molecular dynamics simulations, which are used to study the movement and behavior of molecules.
Molecular Dynamics
A computational method used to simulate the movement and behavior of atoms and molecules over time.
Molecular Dynamics (MD) simulations use computer algorithms to mimic the physical interactions between atoms in a system. This allows researchers to study how molecules move, interact, and change shape over time.
Newton's laws of motion
A set of three fundamental laws that describe the relationship between a body and the forces acting upon it, and its motion in response to those forces.
Newton's Laws of Motion are foundational principles in physics. They explain how objects move and interact with forces. The first law describes inertia, the second law relates force, mass, and acceleration, and the third law states that for every action, there is an equal and opposite reaction.
Femtoseconds
A unit of time equal to 10^-15 seconds.
Femtoseconds are incredibly short units of time, used to measure extremely fast events at the atomic and subatomic level. One femtosecond is one quadrillionth of a second.
Protein
A large biomolecule made up of chains of amino acids.
Proteins are essential macromolecules found in all living organisms. They perform a wide range of functions, including catalyzing biochemical reactions, transporting molecules, providing structural support, and regulating cellular processes.
Lysozyme
An enzyme that breaks down bacterial cell walls.
Lysozyme is an antimicrobial enzyme found in tears, saliva, and mucus. It acts by breaking down the peptidoglycan layer of bacterial cell walls, leading to bacterial lysis (cell death).
Conformations
The different three-dimensional shapes that a protein can adopt.
Proteins are not rigid structures but can fold into various shapes called conformations. These different conformations allow proteins to perform their diverse functions.
Folding@home
A distributed computing project that uses volunteer computer resources to perform protein folding simulations.
Folding@home is a massive scientific effort that harnesses the power of many computers to simulate the complex process of protein folding. Volunteers donate their computer's processing power to help researchers understand how proteins fold and function.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Sunday, 26 April 2026 00:31:02|
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 | 17,437,581 | 824,634 | 21.15 | 1 hrs 8 mins |
| 2 | GeForce RTX 4080 SUPER AD103 [GeForce RTX 4080 SUPER] |
Nvidia | AD103 | 17,177,432 | 254,081 | 67.61 | 0 hrs 21 mins |
| 3 | GeForce RTX 4080 AD103 [GeForce RTX 4080] |
Nvidia | AD103 | 15,298,763 | 1,265,110 | 12.09 | 1 hrs 59 mins |
| 4 | GeForce RTX 3090 Ti GA102 [GeForce RTX 3090 Ti] |
Nvidia | GA102 | 12,336,629 | 971,034 | 12.70 | 1 hrs 53 mins |
| 5 | GeForce RTX 4070 Ti AD104 [GeForce RTX 4070 Ti] |
Nvidia | AD104 | 12,166,994 | 686,683 | 17.72 | 1 hrs 21 mins |
| 6 | GeForce RTX 4070 SUPER AD104 [GeForce RTX 4070 SUPER] |
Nvidia | AD104 | 10,937,296 | 505,778 | 21.62 | 1 hrs 7 mins |
| 7 | GeForce RTX 3090 GA102 [GeForce RTX 3090] |
Nvidia | GA102 | 10,761,875 | 1,012,364 | 10.63 | 2 hrs 15 mins |
| 8 | GeForce RTX 4070 AD104 [GeForce RTX 4070] |
Nvidia | AD104 | 8,932,037 | 1,062,863 | 8.40 | 2 hrs 51 mins |
| 9 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 8,495,341 | 596,002 | 14.25 | 1 hrs 41 mins |
| 10 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 8,348,929 | 439,257 | 19.01 | 1 hrs 16 mins |
| 11 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 8,124,860 | 901,264 | 9.01 | 2 hrs 40 mins |
| 12 | RTX 5000 Ada Generation Laptop GPU AD103GLM [RTX 5000 Ada Generation Laptop GPU] |
Nvidia | AD103GLM | 7,877,002 | 1,018,477 | 7.73 | 3 hrs 6 mins |
| 13 | GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate] |
Nvidia | GA102 | 7,703,840 | 605,665 | 12.72 | 1 hrs 53 mins |
| 14 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 6,720,483 | 291,347 | 23.07 | 1 hrs 2 mins |
| 15 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 6,242,764 | 197,133 | 31.67 | 0 hrs 45 mins |
| 16 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 6,168,123 | 486,526 | 12.68 | 1 hrs 54 mins |
| 17 | TITAN V GV100 [TITAN V] M 12288 |
Nvidia | GV100 | 5,899,541 | 190,000 | 31.05 | 0 hrs 46 mins |
| 18 | GeForce RTX 3080 12GB GA102 [GeForce RTX 3080 12GB] |
Nvidia | GA102 | 5,859,045 | 809,924 | 7.23 | 3 hrs 19 mins |
| 19 | GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate] |
Nvidia | GA104 | 5,663,609 | 758,371 | 7.47 | 3 hrs 13 mins |
|
|
|||||||
| 20 | Radeon RX 7900XT/XTX/GRE Navi 31 [Radeon RX 7900XT/XTX/GRE] |
AMD | Navi 31 | 4,381,153 | 250,636 | 17.48 | 1 hrs 22 mins |
| 21 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 4,331,278 | 542,114 | 7.99 | 3 hrs 0 mins |
| 22 | GeForce RTX 4060 AD107 [GeForce RTX 4060] |
Nvidia | AD107 | 4,184,598 | 301,242 | 13.89 | 1 hrs 44 mins |
| 23 | RTX A4000 GA104GL [RTX A4000] |
Nvidia | GA104GL | 4,103,200 | 190,000 | 21.60 | 1 hrs 7 mins |
| 24 | Geforce RTX 3070 Ti Laptop GPU GA104 [Geforce RTX 3070 Ti Laptop GPU] |
Nvidia | GA104 | 3,772,571 | 190,000 | 19.86 | 1 hrs 13 mins |
| 25 | GeForce RTX 3060 Ti GA104 [GeForce RTX 3060 Ti] |
Nvidia | GA104 | 3,743,695 | 464,474 | 8.06 | 2 hrs 59 mins |
| 26 | GeForce RTX 2080 Super TU104 [GeForce RTX 2080 Super] |
Nvidia | TU104 | 3,730,601 | 190,000 | 19.63 | 1 hrs 13 mins |
| 27 | Radeon RX 9070(XT) Navi 48 [Radeon RX 9070(XT)] |
AMD | Navi 48 | 3,634,969 | 314,316 | 11.56 | 2 hrs 5 mins |
| 28 | Radeon RX 6800/6800XT/6900XT Navi 21 [Radeon RX 6800/6800XT/6900XT] |
AMD | Navi 21 | 3,587,166 | 230,867 | 15.54 | 1 hrs 33 mins |
| 29 | Radeon RX 6800(XT)/6900XT Navi 21 [Radeon RX 6800(XT)/6900XT] |
AMD | Navi 21 | 3,443,180 | 410,713 | 8.38 | 2 hrs 52 mins |
| 30 | Radeon RX 6950 XT Navi 21 [Radeon RX 6950 XT] |
AMD | Navi 21 | 3,279,391 | 269,933 | 12.15 | 1 hrs 59 mins |
| 31 | GeForce RTX 2080 Rev. A TU104 [GeForce RTX 2080 Rev. A] 10068 |
Nvidia | TU104 | 3,128,835 | 190,000 | 16.47 | 1 hrs 27 mins |
| 32 | Radeon RX 7700XT/7800XT Navi 32 [Radeon RX 7700XT/7800XT] |
AMD | Navi 32 | 3,048,407 | 190,000 | 16.04 | 1 hrs 30 mins |
| 33 | GeForce RTX 3080 Mobile / Max-Q 8GB/16GB GA104M [GeForce RTX 3080 Mobile / Max-Q 8GB/16GB] |
Nvidia | GA104M | 2,902,268 | 754,852 | 3.84 | 6 hrs 15 mins |
| 34 | GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate] |
Nvidia | GA106 | 2,850,037 | 686,440 | 4.15 | 5 hrs 47 mins |
| 35 | GeForce RTX 4050 Max-Q / Mobile AD107M [GeForce RTX 4050 Max-Q / Mobile] |
Nvidia | AD107M | 2,808,819 | 723,786 | 3.88 | 6 hrs 11 mins |
| 36 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,753,018 | 259,155 | 10.62 | 2 hrs 16 mins |
| 37 | GeForce RTX 2070 TU106 [GeForce RTX 2070] |
Nvidia | TU106 | 2,712,370 | 596,889 | 4.54 | 5 hrs 17 mins |
| 38 | GeForce RTX 3060 GA106 [GeForce RTX 3060] |
Nvidia | GA106 | 2,704,670 | 190,000 | 14.24 | 1 hrs 41 mins |
| 39 | GeForce RTX 3060 GA104 [GeForce RTX 3060] |
Nvidia | GA104 | 2,699,467 | 190,000 | 14.21 | 1 hrs 41 mins |
|
|
|||||||
| 40 | GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A] |
Nvidia | TU106 | 2,687,793 | 472,601 | 5.69 | 4 hrs 13 mins |
| 41 | GeForce RTX 4060 Max-Q / Mobile AD107M [GeForce RTX 4060 Max-Q / Mobile] |
Nvidia | AD107M | 2,337,433 | 678,671 | 3.44 | 6 hrs 58 mins |
| 42 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,228,484 | 547,651 | 4.07 | 5 hrs 54 mins |
| 43 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 2,132,921 | 529,475 | 4.03 | 5 hrs 57 mins |
| 44 | Quadro RTX 4000 TU104GL [Quadro RTX 4000] |
Nvidia | TU104GL | 2,078,108 | 190,000 | 10.94 | 2 hrs 12 mins |
| 45 | GeForce RTX 3070 Mobile / Max-Q GA104M [GeForce RTX 3070 Mobile / Max-Q] |
Nvidia | GA104M | 2,011,124 | 462,050 | 4.35 | 5 hrs 31 mins |
| 46 | GeForce RTX 2070 Mobile / Max-Q Refresh TU106M [GeForce RTX 2070 Mobile / Max-Q Refresh] |
Nvidia | TU106M | 1,991,689 | 640,352 | 3.11 | 7 hrs 43 mins |
| 47 | GeForce RTX 2070 Mobile TU106BM [GeForce RTX 2070 Mobile] |
Nvidia | TU106BM | 1,926,082 | 642,169 | 3.00 | 8 hrs 0 mins |
| 48 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 1,870,235 | 266,143 | 7.03 | 3 hrs 25 mins |
| 49 | Geforce RTX 3050 GA106 [Geforce RTX 3050] |
Nvidia | GA106 | 1,758,407 | 190,000 | 9.25 | 2 hrs 36 mins |
| 50 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 1,724,312 | 526,664 | 3.27 | 7 hrs 20 mins |
| 51 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,562,594 | 424,783 | 3.68 | 6 hrs 31 mins |
| 52 | RTX A2000 GA106 [RTX A2000] |
Nvidia | GA106 | 1,541,049 | 190,000 | 8.11 | 2 hrs 58 mins |
| 53 | RTX A2000 12GB GA106 [RTX A2000 12GB] |
Nvidia | GA106 | 1,483,447 | 190,000 | 7.81 | 3 hrs 4 mins |
| 54 | Radeon RX 6700(XT)/6800M Navi 22 XT-XL [Radeon RX 6700(XT)/6800M] |
AMD | Navi 22 XT-XL | 1,369,099 | 209,164 | 6.55 | 3 hrs 40 mins |
| 55 | GeForce RTX 3050 8GB GA107 [GeForce RTX 3050 8GB] |
Nvidia | GA107 | 1,340,518 | 618,130 | 2.17 | 11 hrs 4 mins |
| 56 | P104-100 GP104 [P104-100] |
Nvidia | GP104 | 1,320,425 | 190,000 | 6.95 | 3 hrs 27 mins |
| 57 | Radeon RX 6700/6700XT/6800M Navi 22 XT-XL [Radeon RX 6700/6700XT/6800M] |
AMD | Navi 22 XT-XL | 1,318,018 | 190,000 | 6.94 | 3 hrs 28 mins |
| 58 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 1,282,812 | 495,868 | 2.59 | 9 hrs 17 mins |
| 59 | GeForce RTX 3050 Ti Mobile GA107M [GeForce RTX 3050 Ti Mobile] |
Nvidia | GA107M | 1,254,957 | 558,755 | 2.25 | 10 hrs 41 mins |
|
|
|||||||
| 60 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,223,567 | 190,000 | 6.44 | 3 hrs 44 mins |
| 61 | Radeon RX 7700S/7600S Navi 33 [Radeon RX 7700S/7600S] |
AMD | Navi 33 | 1,201,016 | 190,000 | 6.32 | 3 hrs 48 mins |
| 62 | Radeon RX 6650XT Navi 23 [Radeon RX 6650XT] |
AMD | Navi 23 | 1,175,742 | 536,759 | 2.19 | 10 hrs 57 mins |
| 63 | GeForce RTX 3050 6GB GA107 [GeForce RTX 3050 6GB] |
Nvidia | GA107 | 1,156,964 | 190,000 | 6.09 | 3 hrs 56 mins |
| 64 | GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti] |
Nvidia | TU116 | 1,135,370 | 285,742 | 3.97 | 6 hrs 2 mins |
| 65 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 1,126,645 | 528,768 | 2.13 | 11 hrs 16 mins |
| 66 | GeForce RTX 2060 Mobile TU106M [GeForce RTX 2060 Mobile] |
Nvidia | TU106M | 1,117,883 | 464,007 | 2.41 | 9 hrs 58 mins |
| 67 | Radeon RX 6600/6600 XT/6600M Navi 23 XT-XL [Radeon RX 6600/6600 XT/6600M] |
AMD | Navi 23 XT-XL | 1,101,347 | 276,732 | 3.98 | 6 hrs 2 mins |
| 68 | GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q] |
Nvidia | GA106M | 1,053,499 | 458,012 | 2.30 | 10 hrs 26 mins |
| 69 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,043,639 | 493,240 | 2.12 | 11 hrs 21 mins |
| 70 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 1,018,337 | 366,790 | 2.78 | 8 hrs 39 mins |
| 71 | RTX A1000 GA107GL [RTX A1000] |
Nvidia | GA107GL | 961,489 | 190,000 | 5.06 | 4 hrs 45 mins |
| 72 | Radeon RX 6600(XT/M) Navi 23 XT-XL [Radeon RX 6600(XT/M)] |
AMD | Navi 23 XT-XL | 931,342 | 444,896 | 2.09 | 11 hrs 28 mins |
| 73 | GeForce GTX Titan X GM200 [GeForce GTX Titan X] 6144 |
Nvidia | GM200 | 875,312 | 190,000 | 4.61 | 5 hrs 13 mins |
| 74 | P106-100 GP106 [P106-100] |
Nvidia | GP106 | 845,582 | 485,697 | 1.74 | 13 hrs 47 mins |
| 75 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 810,172 | 190,000 | 4.26 | 5 hrs 38 mins |
| 76 | GeForce GTX 1650 SUPER TU116 [GeForce GTX 1650 SUPER] |
Nvidia | TU116 | 779,918 | 462,836 | 1.69 | 14 hrs 15 mins |
| 77 | GeForce GTX 980 GM204 [GeForce GTX 980] 4612 |
Nvidia | GM204 | 729,280 | 190,000 | 3.84 | 6 hrs 15 mins |
| 78 | GeForce RTX 3050 Mobile GA107M [GeForce RTX 3050 Mobile] |
Nvidia | GA107M | 726,641 | 190,000 | 3.82 | 6 hrs 17 mins |
| 79 | GeForce GTX 970 GM204 [GeForce GTX 970] 3494 |
Nvidia | GM204 | 660,998 | 190,000 | 3.48 | 6 hrs 54 mins |
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|||||||
| 80 | GeForce GTX 1650 Mobile / Max-Q TU117M [GeForce GTX 1650 Mobile / Max-Q] |
Nvidia | TU117M | 557,440 | 190,000 | 2.93 | 8 hrs 11 mins |
| 81 | GeForce GTX 1660 Mobile TU116M [GeForce GTX 1660 Mobile] |
Nvidia | TU116M | 522,763 | 460,198 | 1.14 | 21 hrs 8 mins |
| 82 | GeForce GTX 1650 TU116 [GeForce GTX 1650] 3091 |
Nvidia | TU116 | 505,902 | 190,000 | 2.66 | 9 hrs 1 mins |
| 83 | Quadro T1000 Mobile TU117GLM [Quadro T1000 Mobile] |
Nvidia | TU117GLM | 496,495 | 190,000 | 2.61 | 9 hrs 11 mins |
| 84 | GeForce GTX 1650 TU106 [GeForce GTX 1650] |
Nvidia | TU106 | 442,066 | 190,000 | 2.33 | 10 hrs 19 mins |
| 85 | Radeon RX 7700S/7600(S) Navi 33 [Radeon RX 7700S/7600(S)] |
AMD | Navi 33 | 379,361 | 304,718 | 1.24 | 19 hrs 17 mins |
| 86 | RX 5600 OEM/5600XT/5700/5700XT Navi 10 [RX 5600 OEM/5600XT/5700/5700XT] |
AMD | Navi 10 | 365,500 | 190,000 | 1.92 | 12 hrs 29 mins |
| 87 | Radeon Pro W5700 Navi 10 [Radeon Pro W5700] |
AMD | Navi 10 | 260,713 | 382,768 | 0.68 | 35 hrs 14 mins |
| 88 | Quadro P1000 GP107GL [Quadro P1000] |
Nvidia | GP107GL | 239,658 | 190,000 | 1.26 | 19 hrs 2 mins |
| 89 | GeForce GTX 1650 TU117 [GeForce GTX 1650] |
Nvidia | TU117 | 211,865 | 190,000 | 1.12 | 21 hrs 31 mins |
| 90 | RX 5500(M)/Pro 5500M Navi 14 [RX 5500(M)/Pro 5500M] |
AMD | Navi 14 | 188,248 | 221,387 | 0.85 | 28 hrs 13 mins |
| 91 | GeForce RTX 2050 GA107M [GeForce RTX 2050] |
Nvidia | GA107M | 177,720 | 190,000 | 0.94 | 25 hrs 40 mins |
| 92 | GeForce GT 1030 GP108 [GeForce GT 1030] |
Nvidia | GP108 | 88,035 | 190,000 | 0.46 | 51 hrs 48 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Sunday, 26 April 2026 00:31:02|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|---|---|---|---|---|
| 1 | RYZEN 7 5700X 8-CORE | 16 | AMD | ||
| 2 | 12TH GEN CORE I5-12400F | 12 | Intel | ||
| 3 | XEON CPU E5-1620 V3 @ 3.50GHZ | 8 | Intel | ||
| 4 | XEON CPU E5-2666 V3 @ 2.90GHZ | 20 | Intel | ||
| 5 | RYZEN 7 7800X3D 8-CORE | 16 | AMD |