Apple A17 Pro vs Snapdragon 8 Gen 2: Which is faster? The A17 Pro Chip is the latest premium SoC by Apple that is powering the iPhone 15 Pro and 15 Pro Max. On the other hand, the Snapdragon 8 Gen 2 chip is Android’s premium chipset- its successor Snapdragon 8 Gen 3 is on the way.
See Also: Apple A16 Bionic vs Apple A17 Pro Chip: Which is faster?
Smartphones that are powered by the Apple A17 Pro SoC are more expensive than that of Snapdragon 8 Gen 2. The iPhone 15 Pro is currently the cheapest phone using the A17 Pro and it’s priced at $999. In contrast, you would see Android smartphones that are priced at $500 using the Snapdragon 8 Gen 2 chipset.
But why is the Apple A17 Pro powered smartphones more expensive? The reason is simple. The Apple A17 Pro is faster and that’s the reason it’s more expensive too.
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The Apple A17 Pro is 30% faster in multi-core and 34% better in single-core than the Snapdragon 8 Gen 2. Going by Geekbench 6 scores, the Apple A17 Pro had 2,758 Single-core points and 7,198 multi-core. While the Snapdragon 8 Gen 2 chip had 2,067 points on single-core and 5,498 on multi-core.
As for the Configuration setup, the Snapdragon 8 Gen 2 chipset is built on TSMC’s 4nm process with a 1x 3.19GHz (Cortex-X3), 2x 2.8GHz (Cortex-A715), 2x 2.8GHz (Cortex-A710), and 3x 2.0GHz (Cortex-A510). In contrast, the Apple A17 Pro is the first chipset in the industry that’s built on TSMC 3nm process. And just like before, Apple’s A17 Pro features two performance cores and four energy-efficient cores.
GPU-wise, both chipsets are spot on. Apple booster up the cores from five last year to a new peak of 6-cores. More so, Apple has finally joined the likes of Snapdragon 8 Gen 2 and Dimensity 9200 to feature a hardware ray tracing.
See Also: MediaTek Dimensity 9200 Plus vs Snapdragon 8 Gen 2: Which is Faster?
Apple A17 Pro vs Snapdragon 8 Gen 2: Roundup
Apple A17 Pro has a 30% faster CPU than the Snapdragon 8 Gen 2. While both are at par when it comes to their gaming capabilities. They support 5G connectivity and neural engineering/Machine Learning is Spot on too.