In March, it was Intel’s turn, and this month, it’s AMD’s. That’s right, we’re at the point when Phenom II X6′s are hitting the market and giving consumers a much less expensive six-core CPU to chose from. We’re taking a look at AMD’s top-end offering, the 1090T BE, and also a brief look at the company’s new 890FX chipset.
With each new processor launch, one thing that’s bound to prove faster are mathematical equations, which when all said and done, plays a massive role in a lot of our computing today. The faster an equation can be completed, the faster a math-heavy process can finish.
Sandra includes applications designed to specifically test the mathematical performance of processors, with the main one being the arithmetic test.
As mentioned many times in the past, Intel seems to hold the ground where arithmetic equations are concerned, and that’s evidenced here. Still, the 1090T didn’t fall too far behind the much more expensive Core i7-870, so it’s still a win in that regard.
Crypto is a major part of computing, whether you know it or not, and certain processes can prove slower than others, depending on their algorithms. User passwords on your home PC are encrypted, as are user passwords on web servers (like in our forums). Past that, crypto is used in other areas as well, such as with creating of unbreakable locks on files or assigning a hash to a particular file (like MD5).
In Sandra’s Cryptography test, the results are outputted as MB/s, higher being better. Although this is somewhat of an odd metric to go by, generally speaking, the higher the number, the faster the CPU tears through the respective algorithm, which comes down to how fast a password is either encrypted, decrypted, signed, et cetera.
For AMD in the present day, catching up to Intel in the AES scheme of things is impossible, due to the lack of an accelerated instruction, but as we can see with SHA, the performance is quite impressive. It’s still below Intel’s Core i7-980X, but it’s above everything else, so overall it’s another good showing.
Most, if not all, businesses in existence have to crack open a spreadsheet at some point. Though simple in concept, spreadsheets are an ideal way to either track information or compute large calculations all in real-time. This is important when you run a business that deals with a large amount of expenses.
Although the importance of how fast a calculation takes in an Excel file is, we include results here since they heavily test the mathematical capabilities of each processor. Because Excel 2007 is completely multi-threaded (it can even take advantage of an 8-Core Skulltrail), it makes for a great benchmark to show the scaling between all of our CPUs.
I’ll let Intel explain the two files we use:
Monte Carlo – This workload calculates the European Put and Call option valuation for Black-Scholes option pricing using Monte Carlo simulation. It simulates the calculations performed when a spreadsheet with input parameters is updated and must recalculate the option valuation. In this scenario we execute approximately 300,000 iterations of Monte Carlo simulation. In addition, the workload uses Excel lookup functions to compare the put price from the model with the historical market price for 50,000 rows to understand the convergence. The input file is a 70.1 MB spreadsheet.
Calculations – This workload executes approximately 28,000 sets of calculations using the most common calculations and functions found in Excel*. These include common arithmetic operations like addition, subtraction, division, rounding and square root. It also includes common statistical analysis functions such as Max, Min, Median and Average. The calculations are performed after a spreadsheet with a large dataset is updated with new values and must re-calculate many data points. The input file is a 6.2 MB spreadsheet.
Our Excel computation, being arithmetic-based, gives us rather expected results. Here, even the older-school Core 2 Quad Q9650 manages to out-perform the 1090T, despite having less cores and a lower frequency.