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Alleged iPhone 6 benchmark has been leaked online

TECHi's Author Alfie Joshua
Opposing Author 9to5mac Read Source Article
Last Updated
9to5mac
9to5mac View all 9to5mac Two Takes by TECHi Read the original story Published September 9, 2014
TECHi's Take
Alfie Joshua
Alfie Joshua
  • Words 104
  • Estimated Read 1 min

Even though the iPhone 6 is not yet official, at least one iPhone 6 unit has found its way into a user’s hands in China, and he posted many videos, including a detailed first review of the device. Unsurprisingly, a first iPhone 6 benchmark has been performed by a Weibo user as well, confirming several specs for the handset. A 4.7-inch iPhone 6 version identified as “iPhone7,2,” which appears to be the correct internal Apple model number for the iPhone 6 family of handsets has been put through Geekbench 3 tests, revealing that the handset is sporting a 1.4GHz dual-core A8 processor, 1GB of RAM and is running iOS 8.

9to5mac

9to5mac

  • Words 172
  • Estimated Read 1 min
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The same person who posted the original convincing videos of a working iPhone 6 is back with some more analysis, after having the device for a couple of days. In particular, zzray ran his device through Geekbench to try and find out some technical specifications. The supposed Geekbench results say that the device (with identifier iPhone 7,2) has 1 GB of RAM and an ARM processor clocked at 1.4 GHz. Although the included RAM is disappointing, with many hoping Apple would bump RAM to 2 GB this generation, the small change in clock speed should not come as a surprise. 9to5Mac reported that the A8 would focus on power efficiency, rather than extreme performance improvements. It is likely that Apple has focused on other engineering improvements aside from base clock speed for any Apple A8 speed gains. Still, the chip managed a Geekbench score of 1633 for single-core and 2920 for multi-core. For comparison, the Geekbench website shows that an iPhone 5s scores 1412 in single-core and 2540 in multi-core tests. This is still a substantial increase to compute performance.

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