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Kayla Platform
ARM Development Platform for CUDA® and OpenGL

Introducing the Kayla Platform for computing on the ARM architecture – where supercomputing meets mobile computing.

The Kayla platform is powered by an NVIDIA® Tegra® Quad-core ARM processor and a Kepler™ GPU to deliver the highest performance, highest efficiency for the next generation of CUDA and OpenGL application. Pre-installed with CUDA 5 and supporting OpenGL 4.3, it provides ARM applications development across the widest range of application types.

download video demo here

The object of this competition is to create a cool JavaScript "application" no larger than 1k. Starting out as a joke, the first version ended with a serious amount of submissions, prizes and quality.

Intel® Graphics Performance Analyzers (Intel® GPA) is a powerful, agile developer tool suite for analyzing and optimizing games, media, and other graphics-intensive applications. The product supports applications intended for the Windows* OS platforms or Intel® Atom™ based phones running the Android* OS. The toolset is a free download from the Intel GPA Home Page.

Available now, Intel GPA 2013 R1 adds these key features:

    Significant enhancements have been made to the Geometry Viewer within the Intel GPA Frame Analyzer tool. The Geometry Viewer enables developers to view the input geometry at various shader stages (IA, HS/DS, VS, GS) for each draw call in a captured frame, and helps developers debug difficult performance bottlenecks or complex geometry rendering issues. More details on specific enhancements are included later in this article.
    A new command-line tool, gpa_console_client, is now available for analyzing Android* OS workloads. With this tool you can automate many functions and features of the Intel GPA System Analyzer that were previously only available from the GUI.
    Support has been added for new Intel® Atom™ based phones running the Android* OS, such as the Motorola RAZR I*. The full list of supported phones is available here.
    A new tutorial, City Racer, has been added to demonstrate a "hands-on" approach to performance analysis and optimization. This tutorial presents a step-by-step guide to using Intel GPA for performance analysis, bottleneck identification, and rendering optimization of a D3D11 application. After installing Intel GPA, this tutorial with full source code can be found here: <install directory>\GPA\2013 R1\sdk\Samples\CityRacer
    Intel GPA System Analyzer and Intel GPA System Analyzer HUD now support games and graphics applications using the DirectX* 11.1 API. Developers using the latest DirectX* API are now able to analyze and optimize their games for hardware platforms that support this API.

Surprise, surprise, the sample cannot identify an AMD GPU 

New version available 4.1.0 !

This version addresses some issues with Windows 8, and OpenGL 4.3 support for all the platforms.

What’s New in Version 311.35

 This driver offers performance improvements over previous driver versions.
 Added support for the following products:
• NVIDIA Quadro K4000
• NVIDIA Quadro K2000
• NVIDIA Quadro K600

AMD Embedded GPU and APU Driver

no changelog as usual, no obvious changes to OpenGL

;----------1302271821-12.101-130214a-153749C-EDG_Direct
DriverVer=02/14/2013, 12.101.0.0000
AMD6763.1 = "AMD Radeon E6460"
AMD6743.1 = "AMD Radeon E6760"
AMD9804.1 = "AMD Radeon HD 6250 Graphics"
AMD9805.1 = "AMD Radeon HD 6250 Graphics"
AMD9807.1 = "AMD Radeon HD 6290 Graphics"
AMD9803.1 = "AMD Radeon HD 6310 Graphics"
AMD9802.1 = "AMD Radeon HD 6320 Graphics"
AMD9806.1 = "AMD Radeon HD 6320 Graphics"
AMD6720.1 = "AMD Radeon HD 6900M Series"
AMD9994.1 = "AMD Radeon HD 7400G"
AMD99A4.1 = "AMD Radeon HD 7400G"
AMD9992.1 = "AMD Radeon HD 7420G"
AMD9993.1 = "AMD Radeon HD 7480D"
AMD990A.1 = "AMD Radeon HD 7500G"
AMD9919.1 = "AMD Radeon HD 7500G"
AMD9990.1 = "AMD Radeon HD 7520G"
AMD99A0.1 = "AMD Radeon HD 7520G"
AMD9991.1 = "AMD Radeon HD 7540D"
AMD9904.1 = "AMD Radeon HD 7560D"
AMD9908.1 = "AMD Radeon HD 7600G"
AMD9918.1 = "AMD Radeon HD 7600G"
AMD9907.1 = "AMD Radeon HD 7620G"
AMD9917.1 = "AMD Radeon HD 7620G"
AMD9903.1 = "AMD Radeon HD 7640G"
AMD9913.1 = "AMD Radeon HD 7640G"
AMD9901.1 = "AMD Radeon HD 7660D"
AMD9900.1 = "AMD Radeon HD 7660G"
AMD9910.1 = "AMD Radeon HD 7660G"
AMD6819.1 = "AMD Radeon HD 7800 Series"
AMD6800.1 = "AMD Radeon HD 7970M"
AMD68B8.1 = "ATI Radeon HD 5700 Series"

Selected as Editor's Choice in the iOS App Store, featured in *TegraZone* and rated 4/4 "Must Have" by critics, BLADESLINGER is a visually stunning, fast paced 3D action brawler developed exclusively for high-end mobile devices.

BEST MOBILE GRAPHICS YOU’VE EVER SEEN
Bladeslinger introduces graphics features never seen before on mobile devices. Multiple mind-blowing 3D environments and characters, dynamic lighting and shadows with no detail spared. As mobile games approach console quality, Bladeslinger pushes the bar further than ever before.

 TEGRA EXCLUSIVE FEATURES ★

Dynamic and progressive Storm Effects system: rain, lens drops, more reflective puddles, lightning and 3D positional thunder.

Reviews at DroidGamers, AndroidPolice

Screenshots from Adreno 320 powered Nexus 4 (Tegra screens asap)
Some physics effects (Unity PhysX) - dust particles, cloth, water
Looks more impressive when it's animated of course

ArionBench is a software tool that allows you to benchmark the computing performance of your machine.

ArionBench is based on Arion 2 Technology (RCSDK), so it is capable of putting your CPUs and/or GPUs under heavy stress, to see how fast they perform when they must face the task of simulating the flow of light in a 3D scene.

ArionBench, and the list of results that we keep on this page, are fantastic tools for generic hardware analysis. But moreover, they are particularly valuable for Arion users who need to make a decision as to what CPUs or GPUs to buy for optimal rendering performance.

Requirements

An x86 computer and (recommended) an nVidia CUDA video card

ArionBench can run on any modern 32-bit/64-bit computer. However, to benefit from hardware acceleration (GPU), a nVidia CUDA video card with sm_20 (or newer) compute capability is required. Any GeForce card of the 400 series (or newer) and the corresponding Tesla/Quadro models are supported.

This is the successor of Frybench

Kishonti also tested a Qualcomm Snapdragon S4 Pro
OpenCL Compute Performance of (GPU) Sony Xperia Z

"Physics: SPH Fluid Simulation" 40 times slower than with Mali 604 

The new family of advanced NVIDIA professional graphics is fueled by NVIDIA Kepler™—NVIDIA’s most powerful GPU architecture ever—delivering unprecedented performance and innovative capabilities to boost your success. Whether you’re creating revolutionary products, designing groundbreaking architecture, reviewing the fine details in a CT/MRI scan, or telling spectacularly vivid visual stories, NVIDIA professional solutions let you do it better and faster.

download data sheet here