One can check the stats of the WU here...
Folding@Home
Quiksilver's current WU
p1814_Collagen_POG10more_refolding
# of Atoms: 1116
Preferred (days): 30.00 days
Final deadline (days): 44 days
Credit: 153.00
Frames: 100 but the screenshot says 500
Code: AMBER
2.8 Ghz and 3.0 Ghz is raw computing power. I only have an AMD 64 3000+ which clocks in at 2.0 Ghz, 200 FSB x multiplier of 10, chip myself.
There is a small blurb in here about speeding things up some.
Folding Tips and Commands - AMD Forums
Some units are able to take advantage of SSE optimization boost. However in your own particular case both you and Jeff were working on the same protein only his was the first step and yours was the second step. Since AMBER coded folds cannot utilize SSE optimization then it must be the processes running in the background. Are you sure there is not some sort of security program acting as a resident scanner and stealing CPU cycles away from folding? If processes keep stealing away CPU cycles then only the idle ones are left. And there are gaps of time when Jeff does not use the computer that has Folding@Home on it (like using his laptop) so there is a burst of idle CPU cycles to help him along. When I was on Windows last week during usage a frame took about 7 minutes and without usage around 2.5 minutes. Now on Linux with this large protein it is taking about 45 minutes per 1% even with 3DNow and SSE boost on since I'm working on a GROMACS core. The only other suggestion would be to get the no nonsene text only console version for Windows instead of the GUI version.
No: I'm sorry that you cannot transfer those points to another team, but they do count towards points for your user name. Once you have a WU submitted to this team when you go to your page of stats it will list both teams probably in order of most credits first.
EDIT: To QuikSilver
Is your system clean of spyware, etc.? Have you defragged your disk lately? BTW maybe you should update the bios and motherboard driver from the manufacturer's homepage and your video card straight from the homepage of the chipset brand (nVidia/ATi/etc.). Sometimes things just work faster after you do this.