by Rob Williams on February 19, 2009 in AMD Processors
Phenom II may have just launched last month, but AMD didn’t want to waste time in following-up with their first AM3-based processors. We’re taking a look at two, including the X4 810 and X3 720 ‘Black Edition’. Both offer great performance at their respective price-points, but the X3 became the more appealing chip, thanks to its overclocking ability.
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.
Like a few of our previous tests, this one in particular takes absolute full advantage of all the threads available, and also scales well with frequency. The results seen here are what we expected, with Intel having a slight lead overall.
Sandra 2009 Cryptography
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.
From a clock-to-clock perspective, AMD’s offerings perform a little under Intel’s, but the differences are small, so overall, this is quite nice to see.
Microsoft Excel 2007
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.
Continuing with the theme of the previous benchmark, we see a similar theme here. AMD’s processors perform well overall, but Intel’s superb math-handlers equate these problems a wee bit faster.