Approximately zero would be my fairly confident guess, although I'm more familiar with the Linux page cache than OSX. For repeated writes to the same small file without an explicit sync, I don't think there should be any difference between a RAM disk and a regular drive. One way to test would be to measure the number of writes/sec to the the RAM disk, the SSD, and a slow spinning drive --- my theory says they should be very close to the same. But I'd love to learn by being shown otherwise.
Activity Monitor does not distinguish between cache hits and misses, and counts the number of reads and writes to the host filesystem rather than summing the requests to the physical devices. Parallels presents the guest with a virtual filesystem, and the device driver for this filesystem does no caching of its own, as this would waste memory due to double caching. Instead, it merely passes requests through to the real filesystem on the host. These requests (read or write) produce system calls, and this is what is being reported in Activity Monitor regardless of whether they use the page cache or physical SSD.
One way to test this would be to use DTrace, which can distinguish between requests to the filesystem and activity that reaches the device. The scripts "hfsslower.d" and "iosnoop" are here: http://dtrace.org/blogs/brendan/2011/10/10/top-10-dtrace-scr...
http://www.anandtech.com/show/8617/samsung-releases-firmware...
Basically, the same property that gives AFL fuzzing such high write amplification (it's repeatedly changing only a few bytes within a single sector of a file) should also mean that the data in question is mostly staying in cache-- the OS is going to flush that cache out to disk periodically, but it's probably not going to be flushing that cache after every write; that would be pretty slow and silly.
My 840 EVO tracks its total number of LBAs written, and makes it available as a SMART attribute. Assuming your drive does the same, it might be interesting to see how quickly that number goes up while fuzzing versus how quickly it goes up with a more "normal" workload.