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Benchmarked: New iPad’s A5X vs iPad 2’s A5 vs Tegra 3

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At the launch of Apple’s third-gen iPad, the company’s Marketing Chief Phil Schiller claimed the device’s new A5X processor with quad-core graphics provided up to 4x the graphics performance of NVIDIA’s Tegra 3 chip. Schiller also claimed the new chip provided 2x the graphics performance of the iPad 2’s A5 chip. NVIDIA was skeptical of the benchmark data behind the claims, but early benchmarks seemed to show A5X outperforming a Transformer Prime running Tegra 3 in the majority of tests.

New benchmark data provided by IGNshows the iPad 2’s A5 chip outperforming both the A5X and Tegra 3 with the A5X’s improved graphics going largely toward powering the new iPad’s high-resolution Retina display of 3.1 million pixels. The A5X shows a significant increase in performance over iPad 2 and Tegra 3 devices only when the chip is not forced to power the Retina display in “off-screen” benchmarks.


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New iPad’s A5x chip beats out Tegra 3 in most benchmark tests

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[youtube=http://www.youtube.com/watch?feature=player_embedded&v=TQlu39SIH6M]

When Apple launched the new iPad on Friday, it did so with a new dual-core A5x processor and quad-core graphics inside. During the product’s unveiling, Vice President of Worldwide Marketing Phil Schiller talked about the new chip noting that it provides four times the performance of Tegra 3. Nvidia was quick to question the slide displayed by Apple onstage (pictured right), which did not provide any specific benchmark data. We now finally have some solid benchmark tests courtesy of Laptop Mag that provide us new insight.

For the benchmark tests, Laptop Mag used an ASUS Eee Pad Transformer Prime, which is powered by Tegra 3, and put it up against the new iPad in GLBenchmark 2.1, Geekbench, and browsers’ benchmarks with Sunspider and Peacekeeper. In its last test (video above), the publication did a side-by-side subjective gaming performance test to try to spot any noticeable differences between the same title running on both devices. Here is what the publication found:


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