@bbhaag, I followed the link to your host in
@Ken g6's post and am seeing your first LLR-321 result reported with ≈2h25m run time. Sometimes the run times which are recorded in these tables are wrong (longer than the real run time), but I suppose this one is correct. Impressive, because this looks like you already mastered the secret science of performance optimization by means of app_config.xml text configuration.
Incidentally I have processors similar to yours; i7-7700K @ 4.4 GHz. I get run times of ≈2h15m from them with <cmdline>-t 6</cmdline>, and virtually the same with <cmdline>-t 7</cmdline>.
Comparing run times of different tasks is flawed though, because the workload of each task is a bit different. But before this PrimeGrid challenge started, I took some measurements on a Haswell Xeon E3 @ 3.4 GHz, always using the very same task for all configs, which makes these results directly comparable to each other with pretty high precision:
cmdline ... run time ... points per day
-t 8 ... 208 minutes ... 33,800 PPD (100 %)
-t 7 ... 209 minutes ... 33,600 PPD (99.5 %)
-t 6 ... 213 minutes ... 32,900 PPD (97.5 %)
Of course, different host hardware means that run times, and thereby PPD, will scale somewhat differently with increasing -t parameter.
On another note, I see that your host still has some GCW-Sieve tasks queued up. If you want to concentrate on LLR-321 for the ongoing PrimeGrid challenge, you can
abort the GCW tasks which you haven't already started (or even those which you started, but you won't get credit for the partial computation that you already did on these tasks). In contrast, you should not
suspend the GCW tasks, because as long as you have suspended tasks in your queue, the client will not download new tasks when it runs idle; not even 321-LLR tasks.