Google Tensor vs Apple A15 Bionic
Google Tensor
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The Google Tensor SoC (G1, first generation) is the first smartphone processor from Google. It is positioned as a high end SoC and focuses on the integrated TPU for efficient AI and ML calculations. The CPU part integrates two fast and big ARM Cortex X1 cores at up to 2.8 GHz. A second cluster integrates 2 mid range Cortex-A76 cores at up to 2.25 GHz. Finally, four small ARM Cortex-A55 cores with up to 1.8 GHz are integrated for efficiency purposes. All cores can access the shared 4 MB L3 cache.
The successors of the Tensor SoC are the Tensor G2 and G3.
The chip also integrates a Titan M2 security processor and a ARM Mali G78 MP20 GPU. The chip is manufactured in the modern 5nm process.
Apple A15 Bionic
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The Apple A15 Bionic is a System on a Chip (SoC) from Apple that is found in the iPhone 13 and iPad Mini (2021) models. It was announced late 2021 and offers 6 cores divided in 2 performance cores and four power efficiency cores. The CPU performance increases only slightly compared to the A14, but GPU (in the higher end models) offers higher gains.
The chip is manufactured in 5nm and integrates 15.8 billion transistors (compared to the 11.8 of the A14).
Model | Google Tensor | Apple A15 Bionic | ||||||||||||||||||||||||
Codename | Exynos X1 / Cortex-A76 / A55 | |||||||||||||||||||||||||
Clock | 1800 - 2800 MHz | 2020 - 3230 MHz | ||||||||||||||||||||||||
L3 Cache | 4 MB | 32 MB | ||||||||||||||||||||||||
Cores / Threads | 8 / 8 | 6 / 6 | ||||||||||||||||||||||||
Technology | 5 nm | 5 nm | ||||||||||||||||||||||||
Features | ARM Mali-G78MP20 GPU | ARMv8 Instruction Set, Machine Learning Controller, 16-Core Neural Engine, Secure Enclave, Advanced Image Signal Processor | ||||||||||||||||||||||||
iGPU | ARM Mali-G78 MP20 ( - 848 MHz) | Apple A15 GPU 5-Core | ||||||||||||||||||||||||
Architecture | ARM | ARM | ||||||||||||||||||||||||
Announced | ||||||||||||||||||||||||||
Manufacturer | blog.google | |||||||||||||||||||||||||
Series | Apple Apple A-Series | |||||||||||||||||||||||||
Series: Apple A-Series |
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L2 Cache | 16 MB | |||||||||||||||||||||||||
Transistors | 15800 Million |
Benchmarks
Average Benchmarks Google Tensor → 100% n=11
Average Benchmarks Apple A15 Bionic → 151% n=11

* Smaller numbers mean a higher performance
1 This benchmark is not used for the average calculation