Google Tensor Qualcomm Snapdragon G1 Gen 1
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Google Tensor vs Qualcomm Snapdragon G1 Gen 1

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Note: The information shown below is based on rumors and unoffical information. Technical details or benchmark results may be different in the final version of this processor.
The Google Tensor (G1 architecture, 5 nm manufacturing) is a system-on-a-chip for Google's Pixel smartphones, optimized for AI and machine learning.

It integrates an ARM Mali-G78 MP20 graphics unit and 8 MB L2 cache. In terms of performance, it shows solid results: Geekbench 6 single-core 1494, multi-core 3639, and Cinebench R23 single-core 2915, suitable for everyday and AI tasks. The Qualcomm Snapdragon G1 Gen 1 (Kryo architecture, 6 nm manufacturing) is primarily designed for handheld gaming devices to deliver consistent performance.

It uses a Qualcomm Adreno A11 graphics unit. Specific benchmark values are not available, but its performance is optimized for efficient gaming execution. In the gaming sector, the Qualcomm Snapdragon G1 Gen 1 is clearly superior for stable frame rates thanks to its Adreno graphics and optimization.

The Google Tensor, with Mali-G78 MP20, focuses more on general smartphone functions and AI. The Google Tensor's 5 nm process promotes high energy efficiency. The Qualcomm Snapdragon G1 Gen 1's 6 nm process aims for sustained performance during long gaming sessions.

Direct market prices are not available for these integrated SoCs. The Google Tensor is suitable for AI-centric smartphone users. The Qualcomm Snapdragon G1 Gen 1 is the recommendation for gaming enthusiasts looking for high performance in handheld games.

Google Tensor

  • Advanced AI and ML acceleration.
  • Integrated ARM Mali-G78 MP20 graphics unit.
  • High energy efficiency due to 5 nm manufacturing.
  • Solid all-round performance for smartphone applications.

Qualcomm Snapdragon G1 Gen 1

  • Optimized for consistent handheld gaming performance.
  • Integrated Qualcomm Adreno A11 graphics unit.
  • Designed for stable frame rates and efficient heat dissipation.
  • Focus on sustained performance during long gaming sessions.

Performance Overview
Average performance across multiple benchmarks

Single-core performance
Rank ?
Google Tensor
Rank ?
Qualcomm Snapdragon G1 Gen 1
Multi-core performance
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Google Tensor
Rank ?
Qualcomm Snapdragon G1 Gen 1

More benchmarks

At a glance

Wischen
Google TensorQualcomm Snapdragon G1 Gen 1
FamilyGoogle Tensor (5)Qualcomm Snapdragon G (4)
CPU groupGoogle Tensor (1)Qualcomm Snapdragon G Gen 1 (3)
ArchitectureG1Kryo
Technology5 nm6 nm
SegmentSmartphone / TabletSmartphone / Tablet
Socket
Predecessor
SuccessorGoogle Tensor G2

CPU Cores and Base Frequency

Wischen
Google TensorQualcomm Snapdragon G1 Gen 1
CPU Cores / Threads8 / 88 / 8
Hyperthreading / SMT
Core architecturehybrid (Prime / big.LITTLE)normal
Core Cluster 1: 2x Cortex-X1
2.80 GHz
8x Kryo
0 GHz
Core Cluster 2: 2x Cortex-A76
2.25 GHz
Core Cluster 3: 4x Cortex-A55
1.80 GHz
L2-Cache8.00 MB
L3-Cache
Overclocking

Integrated graphics (iGPU)

Wischen
Google TensorQualcomm Snapdragon G1 Gen 1
GPU nameARM Mali-G78 MP20Qualcomm Adreno A11
GPU frequency0.76 GHz
CUs / Shader20 / 320 /
Raytracing
Max. displays10
Max. GPU Memory
Technology5 nm
Release dateQ4/2021

NPU AI performance

Wischen
Google TensorQualcomm Snapdragon G1 Gen 1
AI hardwareGoogle Tensor AI
AI specificationsGoogle Edge TPU @ 1.6 TOPS
NPU + CPU + iGPU

Memory & PCIe

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Google TensorQualcomm Snapdragon G1 Gen 1
MemoryLPDDR5-5500 (53.0 GB/s)
Max. Memory12 GB
Memory channels20
ECCNoYes
PCIe
PCIe Bandwidth

Thermal Management

Wischen
Google TensorQualcomm Snapdragon G1 Gen 1
TDP10 W
TDP (PL2)
TDP up
TDP down
T. junction max.

Technical details

Wischen
Google TensorQualcomm Snapdragon G1 Gen 1
Chip designUnknownChiplet
AES-NI
Operating systemsAndroidAndroid
Instruction setArmv8-A (64 bit)Armv8-A (64 bit)
ISA extensions
Release dateQ4/2021Q3/2023
Release price
DocumentsTechnical data sheet

Your rating

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Google Tensor
Google Tensor
8C / 8T · 2.80 GHz
Qualcomm Snapdragon G1 Gen 1
Qualcomm Snapdragon G1 Gen 1
8C / 8T ·

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Google Tensor
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