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INFOGRAPHIC: Snapdragon 8 Elite vs Tensor G4 — Which Has Better Performance?
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INFOGRAPHIC: Snapdragon 8 Elite vs Tensor G4 — Which Has Better Performance?

With these performance metrics, you can decide on what chip you want your upgraded device to have.

David Adubiina profile image
by David Adubiina
Pros
Snapdragon Elite
Superior gaming and graphics performance
Higher memory bandwidth
Faster CPU speeds and better multitasking
Advanced AI engine

Tensor G4
Excellent AI and machine learning capabilities
Optimized for Google services and Android
Better power efficiency and thermal management
Cons
Snapdragon Elite
High power consumption
Can run hotter under heavy loads

Tensor G4
Less powerful GPU
Limited gaming optimizations
Slower memory support

2024 has been a year with many flagship phones and tech product launches. Among them are the Tensor G4 and Snapdragon 8 Elite with promising improvements across key metrics like speed, efficiency, and AI capabilities.

While it is generally known that the Snapdragon processors dominate the Android smartphone market as the performance benchmark, Google's own Tensor chips tailored specifically for Pixel devices are heating up the competition–each with unique strengths and weaknesses. 

So if you are wondering how they differ in capabilities, here’s a guide that breaks down their performance based on six key metrics.

#1: Core Configuration

  • Qualcomm's Snapdragon 8 Elite features an octa-core central processing unit with a hybrid core architecture composed of two prime cores with a peak clock speed of up to 4.32 GHz and six performance cores with a clock speed of 3.53 GHz. It adopts a 2+6 configuration with high-performance cores only, offering significant performance gains compared to previous generations.
  • Google’s Tensor G4 also employs a custom architecture of one Cortex-X4 core running at 3.10 GHz, three Cortex-A720 cores running at 2.60 GHz, and four Cortex-A520 cores running at 1.95 GHz, focusing on optimized performance for Pixel-exclusive features. It uses a more modest 4+3+1 setup, prioritizing AI-driven tasks and image processing over raw performance.
David Adubiina profile image
by David Adubiina

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