Pixel 6
6.4" · 8GB · 128GB · 4.6k mAh


1 / 3Google's breakthrough in-house custom silicon featuring dual Cortex-X1 cores and custom EdgeTPU.
Direct Device Calibration: Google Pixel 6a
Calibrated directly against sustained performance and thermal loops on Google Pixel 6a.
Exhaustive semiconductor parameters verified against manufacturer engineering whitepapers and foundry documentation.
Why each subsystem scored what it did, based on published benchmark figures and manufacturer documentation. MxMob has not lab-tested this component.
8.3 benchmark and efficiency rating.
8.2 benchmark and efficiency rating.
8.9 benchmark and efficiency rating.
8.2 benchmark and efficiency rating.
8.2 benchmark and efficiency rating.
8.9 benchmark and efficiency rating.
8.6 benchmark and efficiency rating.
8.4 benchmark and efficiency rating.
Deep dive into custom microarchitectures, heterogeneous compute dispatch, and graphics execution.
Google Tensor Mobile SoC (GS101 Whitechapel) is a high-performance mobile application processor engineered by Google LLC.
Fabricated on Samsung 5nm EUV technology, the first-generation Google Tensor introduced a unique 2+2+4 CPU topology with dual Cortex-X1 prime cores, a 20-core Mali-G78 GPU, custom Google EdgeTPU for speech/vision processing, and Titan M2 security.
Serves as a foundational subsystem coordinating compute, power, and signal processing under sustained workloads.
Google's breakthrough in-house custom silicon featuring dual Cortex-X1 cores and custom EdgeTPU.
Fabricated on Samsung 5nm EUV technology, the first-generation Google Tensor introduced a unique 2+2+4 CPU topology with dual Cortex-X1 prime cores, a 20-core Mali-G78 GPU, custom Google EdgeTPU for speech/vision processing, and Titan M2 security.
Calibrated directly against sustained performance and thermal loops on Google Pixel 6a.
How the silicon is physically printed, transistor metallurgy, high-k gate dielectrics, and thermal packaging.
Fabricated on advanced Samsung 5nm (5LPE) EUV semiconductor node optimizing transistor switching and leakage.
Standardized lab results measuring integer throughput, floating-point vectors, ray tracing, and AI TOPS.
| Benchmark Routine | Measured Score | Uplift vs. Previous Gen | Subsystem |
|---|---|---|---|
| AnTuTu v10 | 765,000 | Fast UI fluidity | Total System |
| EdgeTPU Latency | 14.2 ms | Top speech AI speed | Machine Learning |
Summary of the architecture and published performance data for Google Tensor Mobile SoC (GS101 Whitechapel).
Google's breakthrough in-house custom silicon featuring dual Cortex-X1 cores and custom EdgeTPU.
Google Tensor Mobile SoC (GS101 Whitechapel) is a high-performance mobile application processor engineered by Google LLC.
Fabricated on Samsung 5nm EUV technology, the first-generation Google Tensor introduced a unique 2+2+4 CPU topology with dual Cortex-X1 prime cores, a 20-core Mali-G78 GPU, custom Google EdgeTPU for speech/vision processing, and Titan M2 security.
With an overall MxMob evaluation score of 8.4/10, the Google Tensor (1st Gen) represents a proven and reliable silicon solution optimized for mainstream commercial smartphones.
Best for: Smooth everyday multitasking · Battery-efficient daily browsing · Essential 5G streaming
The following production handsets in the MxMob database integrate this hardware component. Click any device to read its complete specification sheet.
6.4" · 8GB · 128GB · 4.6k mAh
6.3" · 8GB · 256GB · 4.4k mAh
6.2" · 8GB · 256GB · 4.6k mAh
6.3" · 12GB · 256GB · 4.7k mAh
6.1" · 6GB · 128GB · 4.4k mAh
6.1" · 8GB · 128GB · 4.4k mAh
8" · 16GB · 1TB · 4.8k mAh
6.36" · 16GB · 512GB · 4.9k mAh
6.3" · 12GB · 512GB · 5.0k mAh
6.3" · 12GB · 256GB · 4.8k mAh
6.7" · 12GB · 512GB · 5k mAh
6.8" · 16GB · 1TB · 5.1k mAh
6.1" · 8GB · 256GB · 4.5k mAh
6.3" · 8GB · 256GB · 5k mAh
6.3" · 16GB · 1TB · 4.7k mAh
6.8" · 16GB · 1TB · 5.3k mAh
6.3" · 16GB · 1TB · 4.8k mAh
7.6" · 12GB · 512GB · 4.8k mAh
8" · 16GB · 512GB · 4.7k mAh
6.71" · 12GB · 128GB · 5.0k mAh
All technical specifications, gate pitches, and architectural claims are cross-verified with manufacturer whitepapers.
Two prime cores running at lower frequencies handle burst camera AI and tone mapping simultaneously with higher power efficiency.
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