With Google’s annual I/O developers’ conference taking place this week, this should end up being a busy week for Android news. The conference itself doesn’t officially start until Wednesday the 25th this year, but several partners are already chomping at the bit to get going. First among these will be Qualcomm, who will be using the backdrop of the I/O conference to celebrate the launch of their latest high-performance SoC-class GPU, the Adreno 420.

Adreno 420 is the first member of Qualcomm’s next-generation SoC GPU family to make it out the door and in to a finished product, bringing with it OpenGL ES 3.1 and Direct3D 11 functionality. First announced last year as part of the Snapdragon 805 SoC, Snapdragon 805 and by extension Adreno 420 is now shipping in Samsung’s just-announced Galaxy S5 Broadband LTE-A. The S5B marks the first Adreno 420 product to reach consumer hands, and for as much as an SoC can have a formal launch this would be it, with Qualcomm celebrating its launch coinciding with this year’s Google I/O conference.

For Qualcomm the Adreno 420 in particular is an especially big deal since it is the first GPU to ship based on the Adreno 400 architecture. The Adreno 400 architecture marks a significant advancement in the feature set of Qualcomm’s GPUs, bringing Qualcomm’s latest architecture generally up to par with the existing desktop GPUs by integrating full Direct3D feature level 11_2 functionality alongside the more mobile-focused OpenGL ES 3.1 feature set. By doing so Qualcomm has reached feature parity with desktop GPUs (for the time being), even slightly exceeding NVIDIA’s GPUs by Direct3D standards due to being an FL 11_2 architecture versus NVIDIA’s FL 11_0 architecture.

As we have already covered Adreno 420 in some depth last month we won’t spend too much time going over it now, though admittedly this is also partially due to the fact that Qualcomm is remaining tight lipped about the Adreno 400 architecture beyond a high-level feature standpoint. In brief the Adreno 400 architecture (and Adreno 420) is a full Direct3D FL 11_2 implementation, utilizing a unified shader architecture along with the appropriate feature additions. New to the Adreno 400 architecture is support for tessellation, including the necessary hull and domain shader stages, and as a Direct3D 11 product this would also include with it other Direct3D 11 features such as compute shaders and draw indirect support.

Meanwhile on the OpenGL ES side of matters, while ES 3.1 is not as expansive as Direct3D 11, this none the less means that the Adreno 400 architecture brings with it ES 3.1 functionality along with a number of its Direct3D-derrived features as extensions. Mobile developers will also be happy to hear that this is the first Qualcomm product to support adaptive scalable texture compression (ASTC), the OpenGL next-generation compression technology that should further improve, unify, and simplify the use of compressed textures on mobile platforms.

For Google I/O we are expecting Qualcomm to be heavily promoting the Android gaming possibilities of the Adreno 420 and the Snapdragon 805. The low power nature of mobile devices and the SoCs that power them means that while Qualcomm can’t match the performance of the larger desktop GPUs, Adreno 420 will be a big step up from the performance offered by the older Adreno 330 GPU. But more importantly for Qualcomm, they can do something that hasn’t been done before by bringing desktop-level features to Android devices.

 From our May 2014 Snapdragon 805 Preview

In a sense this will be a repeat of the launch of Direct3D 11 on the desktop, except now with Qualcomm (and eventually other vendors) promoting the advanced features offered by these devices, throwing out examples and tools at developers to entice them to write games for this latest generation of hardware, and to otherwise put it to good use. Even without being able to match desktop processors, there are a number of effects that are made available (or at least more practical) via these new features, and can be used effective on mobile hardware. From a practical perspective Qualcomm should be able to offer Android developers the base graphics functionality of the current generation consoles at performance levels similar to the previous generation consoles.

Source: Qualcomm

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  • bengildenstein - Monday, June 23, 2014 - link

    An official Nvidia whitepaper indicates that the K1 SoC with RAM in GFXBench 3.0 uses 7W of power (not including other hardaware -- eg. screen, radio, etc). This is ridiculously high power draw, certainly not fit for something like a smartphone and even pushing it for a tablet.

    http://developer.download.nvidia.com/embedded/jets... (page 13)
  • tuxRoller - Monday, June 23, 2014 - link

    That's pretty high.
    I'll wait for AT's results.
  • bengildenstein - Monday, June 23, 2014 - link

    I had erred, in that the power draw was taken for the dev-board, but not using low power, mobile-optimized DRAM. The power consumption at peak in GFXBench 3.0 is still a bit high for a smartphone (though maybe not a phablet) at around 3.85W, it is very well suited for a tablet.
  • GC2:CS - Tuesday, June 24, 2014 - link

    Do you really think that 2 GB of DDR3L has an power impact of 3,13 Wats ?
  • tuxRoller - Tuesday, June 24, 2014 - link

    But, as you say, that doesn't include radios, screen, ports, etc.
  • AnandTechUser99 - Monday, June 23, 2014 - link

    That's for the Tegra K1 Jetson development board.

    From that document:

    "Tegra K1 Performance Per Watt on GFXBench 3.0 Manhattan Offscreen"

    It says Tegra K1 achieves: "7.29 FPS/Watt"

    (28.1 FPS) / (7.29 FPS/Watt) = ~3.85 W
  • bengildenstein - Monday, June 23, 2014 - link

    Indeed. Thanks for the correction. I didn't read the footnotes that claimed that the DRAM used was not low power!
  • GC2:CS - Tuesday, June 24, 2014 - link

    The problem is in that the power compustion increases exponentionally as you increase the clock speed. So if tegra can get 7,29 FPS at 1W power, it has to go a lot higher than 3,85 W to get 28,1, it's far from a linear relation.
  • jwcalla - Monday, June 23, 2014 - link

    It's like you didn't read any of the footnotes.
  • bengildenstein - Monday, June 23, 2014 - link

    Fair point. Thanks for the correction!

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