![]() Instead, it states the CPU configuration of the final version. Here, you should note that the Google Tensor G3’s info below is not from an engineering sample. With all that said, let’s get quickly recap the information we got yesterday. CPU Config Comparison of Google Tensor G3, Tensor G2, and Tensor G1 And as always, we will update you when we get more concrete data about the SoC’s performance. But for now, you should treat the listing information with a good grain of salt. Otherwise, the Pixel 8 series will be weak against the competition. Regardless, we can only hope that the actual benchmark scores for the Google Tensor G3 surpass those of the current listing. But the listing showed that it ran at 3.02 GHz. As he shows, the Geekbench result was from a chipset that was running at GHz. And the screenshot provided by Quadrans Muralis further solidifies this claim. The thing is, Geekbench scores can be easily manipulated. And if the test was indeed on an SoC without the Cortex X3, the unimpressive scores do make a lot of sense. As I covered yesterday, the single Cortex X3 core 3.0 GHz is one of the main highlights of the Google Tensor G3. Let’s take a closer look –īut as Mapple_Gold points out, the Geekbench listing does not confirm that the SoC has a Cortex X3 core. ![]() There are a couple of red flags on the Geekbench listing of Google Tensor G3. That’s a big difference from what the Geekbench listing of the Google Tensor G3 is showing. And for the multi-core test, the 8 Gen 2 obtains an impressive 5137 score. The current generation flagship SoC, Snapdragon 8 Gen 2, gets 1867 in single-core. And the important part is that the Snapdragon 8 Gen 1 is a last-generation chipset. So, in both cases, the Geekbench results show that the Google Tensor G3 performed worse than the Snapdragon 8 Gen 1. And for multi-core, the Snapdragon 8 Gen 1 gets 3840. To give you a perspective, the Snapdragon 8 Gen 1 scores 1615 in the single-core test of Geekbench 5. ![]() On the other hand, the multi-core score is at 3809. It says that the benchmark results are for “Google Factory build on Ripcurrent.” Nonetheless, as you can see from the listing, the Google Tensor G3 is shown to offer a single-core score of 1186. Take a look – Google Tensor G3 Geekbench 5 And interestingly, the listing is indeed present in the database of Geekbench. Apple iPhone 13 Geekbench Benchmark scores analysis : Apple iPhone 13 Geekbench Single-core benchmark score is 1,727.This is ranked 2nd among the Single-core benchmark scores for popular smartphones in similar price range and better than 85 of phones in the group. Revegnus has spotted a Geekbench listing for the Google Tensor G3. Nonetheless, as you can see from the listing, the Google Tensor G3 is shown to offer a single-core score of 1186. And it says the complete opposite! Even Snapdragon 8 Gen 1 Shown to Perform Better Than Google Tensor G3 But a Geekbench listing of the processor has popped out. As far as I can tell, these upgrades should make the Tensor G3 better compete with the current flagships. The performance scores reflect the fact that the iPhone SE 3 features the same A15 Bionic chipset as the iPhone 13 series.The upgrades include an improved CPU configuration, enhanced security features, and a new onboard GPU capable of ray-tracing. The Geekbench listing also revealed that the latest iPhone SE comes with 4GB of RAM, instead of 3GB like the iPhone SE 2020. Running on the latest iOS 15.4, the iPhone SE 3 scored 1,695 in single-core testing and 4,021 on multi-core testing. The iPhone SE 3 has already surfaced on Geekbench. The benchmarking platform lists the smartphone as iPhone 14,6 which appears to be its identifier. Related: Is iPhone SE 3 Waterproof? Everything You Should Know The iPhone SE 3 also supports Apple's Deep Fusion image processing, features Photographic Styles and enhanced HDR processing. Additionally, Apple also claims that the device comes with improved battery life. Overall, the iPhone SE 3 is likely to be ideal for those looking to enter Apple's ecosystem for the first time, but cannot afford to spend $699 on an iPhone 13.
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