Google Tensor Vs Qualcomm Snapdragon 888 Vs Apple’s A15 Bionic

Google Tensor Vs Qualcomm Snapdragon 888 Vs Apple’s A15 Bionic 

Google Pixel 6 Series comes with a custom SoC designed by Google named “Tensor”, well talking about this flagship chipset it can perform all the High and Multi-level tasks; But could it beat the Snapdragon 888 and A15 Bionic?

Bionic A15
Google Tensor
Snapdragon 888


Let’s throw some light on the Key Points of all the three major chipsets.

CPU Performance

Google Tensor: Octa-Core CPU: 2 x 2.8GHz (Cortex-X1) Performance cores and 4 x 1.8GHz (Cortex A55) Power Efficiency cores.

Snapdragon 888: Kryo 680, Octa-Core CPU: 1 x 2.8GHz (Cortex-X1) Performance cores, 3 x 2.4GHz (Cortex A78) cores and 4 x 1.8GHz (Cortex A55) Power Efficiency cores.

Bionic A15: Hexa Core CPU: 2 x 3.2GHz (Avalanche) High Performance cores and 4 x 1.82GHz (Blizzard) Power Efficiency cores.

 

Google Tensor uses a “Heterogenous computing” for multiple processors to work simultaneously in order to deliver a sustained performance with least battery consumption.

The reason why Google Tensor uses old A76 core instead of new A78 cores is to offer 20% more sustained performance, less heat and high battery life.

 

Process Technology

Google Tensor: Samsung’s 5nm Process Technology

Snapdragon 888: Samsung’s 5nm Process Technology

Bionic A15: TSMC’s 2nd Generation 5nm Process Technology

 

GPU Performance and Benchmarks

Google Tensor: 20-core Mali G78 GPU (1000 single-core score)

Snapdragon 888: Adreno 660 GPU (1100 single-core score)

Bionic A15: Five Core GPU Designed by Apple (1700 single-core score)

 


Google Tensor offers very smooth task performance and is one step ahead in comparison to Snapdragon 888’s Adreno 660 GPU because of 20-core Mali G78 GPU.

In Android world Tensor definitely wins but not with A15 Bionic, gives a hard competition to Bionic A15.

 

AI (Artificial Intelligence) and Machine Learning

Google Tensor: Google Custom TPU (Tensor Processing Unit)

Snapdragon 888: 6th Generation AI Accelerator

Bionic A15: 16-core Neural Engine


The main reason for Google to make their own custom chip was to deliver more sustained performance, good user experience, timely updates, a good computation with hardware and to do AI Tasks more effectively so that they can provide the best user experience in their devices.

No Doubt, Tensor meets all the requirements for Google and they developed a chipset which is very efficient in doing all the AI and Machine Learning Tasks.

 

ISP (Image Signal Processor)

Google Tensor: Google Custom ISP

Snapdragon 888: Spectra 580

Bionic A15: New Image Signal Processing by Apple

 

Google Tensor can shoot HDR videos at 4K @60fps with computational photography and can take sharp photos Google call it “Motion Mode” because of good AI used.

Snapdragon 888 can shoot concurrent streams from three cameras upto 200MP and record in 8K @30fps.

Bionic A15 works very well can record HDR Dolby Vision videos in 4K @60fps.



 

Connectivity (Modem, Bluetooth and Wi-Fi)

Google Tensor: Samsung Exynos 5123 Modem (7.3Gbps Peak Download and 3.6Gbps Peak Upload Speed), Wi-Fi 6E and Bluetooth v5.2.

Snapdragon 888: Qualcomm X60 5G Modem (7.5Gbps Peak Download and 3Gbps Peak Upload Speed), Wi-Fi 6E Ready and Bluetooth v5.2.

Bionic A15: Qualcomm X60 5G Modem (7.5Gbps Peak Download and 3Gbps Peak Upload Speed), Wi-Fi 6E Ready and Bluetooth v5.0.

All three chipset support mm (millimeter) Wave and sub-6GHz 5G.

 

Conclusion: Who wins?

Apple Bionic A15 is superior in performance.

Google Tensor has very good computing capabilities and is very promising. Mainly focused on providing a good user experience rather than raw performance, Tensor has best Al learning and uses full hardware effectively for providing best user experience.

Well that’s about it all chipsets hold a major place in their working.

 What are your thoughts about these SoCs, which one is your favourite among these?


Click to watch full detailed video


 

 

 

 

 

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