OCZ 6GB PC3-12800 Platinum DDR3 Triple Channel Memory Kit Review

Memory Benchmarks

Everest Ultimate is the most useful tool for any and all benchmarkers or overclockers. With the ability to pick up most voltage, temperature, and fan sensors on almost every motherboard available, Everest provides the ability to customize the outputs in a number of forms on your desktop. In addition to this, the memory benchmarking utility provides a useful tool of measuring the changes to your memory sub-system.


In the Everest Bandwidth test it should come as no surprise that DDR3-1922 result leads the way, especially given the fact that it benefits from a high 3844Mhz Uncore/Integrated Memory Controller frequency, which is the minimum selectable speed when running at DDR3-1922, while the other configurations make due with the stock 3200Mhz Uncore/IMC frequency. As expected, the DDR3-1600 results are all fairly similar, so we will explore the benefits of tighter timings next.


There is a slightly disproportional difference between 9-9-9 and 8-8-8 in our results, which we can likely attribute to the Rampage II Extreme's new 1104 BIOS. It was surprising to see that DDR3-1600 CL7 and DDR3-1922 CL9 are so similar with regard to latency, since the massive clock speed difference would in most cases negate the looser timings and lead to very low latencies. Either way, 29ns is a very impressive result given our relatively low CPU clock speeds and it is at least partially attributable to the new ASUS 1104 BIOS.


Although last updated almost 3 years ago, and despite its rudimentary interface, ScienceMark v2.0 remains a favorite for accurately calculating bandwidth on even the newest chipsets.


As in Everest, we see that the bandwidth is effectively identical across the DDR3-1600 configurations, while there is a healthy boost evident with the DDR3-1922 9-9-9 memory settings. While it is clear that this memory kit can achieve some remarkable memory performance figures, while the patterns demonstrated in these synthetic benchmarks actually translate into faster real-life performance? That is what we are going to find out next.