Who Controls the User Experience? AMD’s Carrizo Thoroughly Testedby Ian Cutress on February 4, 2016 8:00 AM EST
Benchmark Results: Web and Synthetic
Here are our results from our web and synthetic tests. A reminder of our systems:
|HP Elitebook 745 G2||Kaveri||A10 PRO-7350B (19W)||2100 / 3300||8 GB||Dual|
|HP Elitebook 745 G3||Carrizo||PRO A12-8800B (15W)||2100 / 3400||4 GB||Single|
|Carrizo||FX-8800P (15W)||2100 / 3400||8 GB||Single|
|Carrizo||A10-8700P (15W)||1800 / 3200||8 GB||Single|
|Lenovo Y700||Carrizo||FX-8800P (15W)||2100 / 3400||16 GB||Single|
Google Octane 2.0
Octane splits hairs between the Kaveri and A10-8700P, but the Toshiba has the higher skin temperature and can turbo for longer than the Elitebook G3.
Mozilla Kraken 1.1
Kraken is a similar tool to Google, focusing on web tools and processing power. Kraken's tools include searching algorithms, audio processing, image filtering, flexible database parsing, and cryptographic routines.
Kraken mirrors Octane, except this time the A10-8700P gets a jump on the Kaveri.
WebXPRT aims to be a souped up version of Octane and Kraken, using these tools in real time to display data in photograph enhancement, sorting, stock options, local storage manipulation, graphical enterfaces and even filtering algorithms on scientific datasets. We run the 2013 and 2015 versions of the benchmark.
In both versions of the benchmark, the Kaveri system beats all the 15W Carrizo platforms. It was inevitable that at some point during the benchmarking that those extra four watts of thermal headroom in the chip might allow the CPU to turbo for longer – as WebXPRT is by nature a bursty workload, if it can use this to its advantage then we’ll surely see a regression.
I want to pull out some power numbers a little early here to show what I mean. Here are the two Elitebooks in WebXPRT 2013, whose scores differ by 6%:
These power numbers were taken under the ‘all else equal rule’, so each screen was at the same brightness and almost zero applications requesting run time in the background. Here we see that the Carrizo system is drawing less power on average in idle and load (a common theme), but suffers from higher peak power draw and a much larger average-to-idle change in power (which can be overshadowed by onboard components coming out of sleep). It means we get the very uneasy metric of 1208.7 J of energy consumed for the Kaveri over idle and 1932.8 J of energy consumed for Carrizo, though it does depend on how much idle is truly idle across the whole SoC and platform.
This might be where the performance deficit lies though – in a Carrizo system that boasts lower power at idle and lower power draw on average, in a bursty workload environment it is actually wasting time and power to switch things on and off constantly.
Cinebench is a widely known benchmarking tool for measuring performance relative to MAXON's animation software Cinema 4D. Cinebench has been optimized over a decade and focuses on purely CPU horsepower, meaning if there is a discrepancy in pure throughput characteristics, Cinebench is likely to show that discrepancy. Arguably other software doesn't make use of all the tools available, so the real world relevance might purely be academic, but given our large database of data for Cinebench it seems difficult to ignore a small five minute test. We run the modern version 15 in this test, as well as the older 11.5 due to our back data.
Cinebench shows the spread of performance relating to the microarchitecture advantages of Carrizo compared to Kaveri, as well as the benefits that a 35W part can give over a 15W part. That being said, this spread of results, while perhaps an academic answer to ‘which is the fastest’ is not often seen in the real world.
x264 HD 3.0
The x264 HD 3.0 package we use here is also kept for historic regressional data. The latest version is 5.0.1, and encodes a 1080p video clip into a high quality x264 file. Version 3.0 only performs the same test on a 720p file, and in most circumstances hits its limit on high end processors, but still works well for mainstream and low-end. Also, this version only takes a few minutes, whereas the latest can take over 90 minutes to run.
As with Cinebench, we get an ideal academic spread of data.