For the past several days I've been playing around with Futuremark's new 3DMark for Android, as well as Kishonti's GL and DXBenchmark 2.7. All of these tests are scheduled to be available on Android, iOS, Windows RT and Windows 8 - giving us the beginning of a very wonderful thing: a set of benchmarks that allow us to roughly compare mobile hardware across (virtually) all OSes. The computing world is headed for convergence in a major way, and with benchmarks like these we'll be able to better track everyone's progress as the high performance folks go low power, and the low power folks aim for higher performance.

The previous two articles I did on the topic were really focused on comparing smartphones to smartphones, and tablets to tablets. What we've been lacking however has been perspective. On the CPU side we've known how fast Atom was for quite a while. Back in 2008 I concluded that a 1.6GHz single core Atom processor delivered performance similar to that of a 1.2GHz Pentium M, or a mainstream Centrino notebook from 2003. Higher clock speeds and a second core would likely push that performance forward by another year or two at most. Given that most of the ARM based CPU competitors tend to be a bit slower than Atom, you could estimate that any of the current crop of smartphones delivers CPU performance somewhere in the range of a notebook from 2003 - 2005. Not bad. But what about graphics performance?

To find out, I went through my parts closet in search of GPUs from a similar time period. I needed hardware that supported PCIe (to make testbed construction easier), and I needed GPUs that supported DirectX 9, which had me starting at 2004. I don't always keep everything I've ever tested, but I try to keep parts of potential value to future comparisons. Rest assured that back in 2004 - 2007, I didn't think I'd be using these GPUs to put smartphone performance in perspective.

Here's what I dug up:

The Lineup (Configurations as Tested)
  Release Year Pixel Shaders Vertex Shaders Core Clock Memory Data Rate Memory Bus Width Memory Size
NVIDIA GeForce 8500 GT 2007 16 (unified) 520MHz (1040MHz shader clock) 1.4GHz 128-bit 256MB DDR3
NVIDIA GeForce 7900 GTX 2006 24 8 650MHz 1.6GHz 256-bit 512MB DDR3
NVIDIA GeForce 7900 GS 2006 20 7 480MHz 1.4GHz 256-bit 256MB DDR3
NVIDIA GeForce 7800 GT 2005 20 7 400MHz 1GHz 256-bit 256MB DDR3
NVIDIA GeForce 6600 2004 8 3 300MHz 500MHz 128-bit 256MB DDR

I wanted to toss in a GeForce 6600 GT, given just how awesome that card was back in 2004, but alas I had cleared out my old stock of PCIe 6600 GTs long ago. I had an AGP 6600 GT but that would ruin my ability to keep CPU performance in-line with Surface Pro, so I had to resort to a vanilla GeForce 6600. Both core clock and memory bandwidth suffered as a result, with the latter being cut in half from using slower DDR. The core clock on the base 6600 was only 300MHz compared to 500MHz for the GT. What does make the vanilla GeForce 6600 very interesting however is that it delivered similar performance to a very famous card: the Radeon 9700 Pro (chip codename: R300). The Radeon 9700 Pro also had 8 pixel pipes, but 4 vertex shader units, and ran at 325MHz. The 9700 Pro did have substantially higher memory bandwidth, but given the bandwidth-limited target market of our only cross-platform benchmarks we won't always see tons of memory bandwidth put to good use here.

The 7800 GT and 7900 GS/GTX were included to showcase the impacts of scaling up compute units and memory bandwidth, as the architectures aren't fundamentally all that different from the GeForce 6600 - they're just bigger and better. The 7800 GT in particular was exciting as it delivered performance competitive with the previous generation GeForce 6800 Ultra, but at a more attractive price point. Given that the 6800 Ultra was cream of the crop in 2004, the performance of the competitive 7800 GT will be important to look at.

Finally we have a mainstream part from NVIDIA's G8x family: the GeForce 8500 GT. Prior to G80 and its derivatives, NVIDIA used dedicated pixel and vertex shader hardware - similar to what it does today with its ultra mobile GPUs (Tegra 2 - 4). Starting with G80 (and eventually trickling down to G86, the basis of the 8500 GT), NVIDIA embraced a unified shader architecture with a single set of execution resources that could be used to run pixel or vertex shader programs. NVIDIA will make a similar transition in its Tegra lineup with Logan in 2014. The 8500 GT won't outperform the 7900 GTX in most gaming workloads, but it does give us a look at how NVIDIA's unified architecture deals with our two cross-platform benchmarks. Remember that both 3DMark and GL/DXBenchmark 2.7 were designed (mostly) to run on modern hardware. Although hardly modern, the 8500 GT does look a lot more like today's architectures than the G70 based cards.

You'll notice a distinct lack of ATI video cards here - that's not from a lack of trying. I dusted off an old X800 GT and an X1650 Pro, neither of which would complete the first graphics test in 3DMark or DXBenchmark's T-Rex HD test. Drivers seem to be at fault here. ATI dropped support for DX9-only GPUs long ago, the latest Catalyst available for these cards (10.2) was put out well before either benchmark was conceived. Unfortunately I don't have any AMD based ultraportables, but I did grab the old Brazos E-350. As a reminder, the E-350 was a 40nm APU that used two Bobcat cores and featured 80 GPU cores (Radeon HD 6310). While we won't see the E-350 in a tablet, a faster member of its lineage will find its way into tablets beginning this year.

Choosing a Testbed CPU & 3DMark Performance
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  • robredz - Sunday, April 7, 2013 - link

    Wonder how the later AMD450 with 6320 and the quad core Mediatek quad core smartphone processors would compare?
  • geneiusxie - Thursday, May 22, 2014 - link

    So a 7 year old GPU is still 50% faster than the iPad? A modern GPU like the AMD 8770 is ~40x faster still...
    It looks like actual power efficiency might be pretty close to Haswell, but many AMD/NVIDIA GPUs (like the 8770) at 21 GFLOPS/watt have over 2-4x the power efficiency of those puny laptop processors.

    ARM has to follow the same laws of physics that everyone else does :P
  • Samy - Wednesday, August 6, 2014 - link

    This interesting article should be updated for 2014 specially for Nvidia Kepler K-1 performance in shield tablet. Thank you
  • onteo - Sunday, January 25, 2015 - link

    I would like to see this with the new tegra k1, x1, A8x...
  • SlyNine - Saturday, March 5, 2016 - link

    10 year old hardware running on 5 year old drivers vs brand new gpus with brand new drivers.

    Coincidentally the software is created for newer gpus and drivers. Even if the old stuff was 5x I'd be surprised if it ran as well.

    Optimize the software or drivers for those old gpus and it's a curb stomp.
  • adifbbk1 - Saturday, July 9, 2016 - link

    How to use android gpu in pc?
  • adifbbk1 - Saturday, July 9, 2016 - link

    I dont have gpu in my pc but my tab is high end device with 2gb ram, 1.3 ghz processor, arm mali-400 mp2 gpu
    how to use it?
  • android_user - Friday, March 10, 2017 - link

    What is with the gpu desktop core count : Like it's written " 384 " cores on the GT640 .
    What is the situation in smartphone gpu core count ? "1" ?
    Please tell i am wrong .

    http://www.geforce.com/hardware/desktop-gpus/gefor...

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