Qualcomm Snapdragon 782G vs Google Tensor

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CPU comparison with benchmarks

-VS-

CPU lineage

Qualcomm Snapdragon 782G or Qualcomm Snapdragon 782G – which processor offers superior performance? In this comparison, we examine disparities and assess which of these two CPUs outperforms the other. We delve into technical specifications and benchmark outcomes.
The Qualcomm Snapdragon 782G features 8 processor cores and has the capability to manage 8 threads concurrently.
It was released in Q4/2022 and belongs to the 4 generation of the Qualcomm Snapdragon series.
The Google Tensor features 8 processor cores and has the capability to manage 8 threads concurrently.
It was released in Q4/2021 and belongs to the 1 generation of the Google Tensor series.
Qualcomm Snapdragon 780 Group Google Tensor
4 Generation 1
Qualcomm Snapdragon 782G Name Google Tensor
Mobile Segment Mobile
Qualcomm Snapdragon Family Google Tensor
 
 

CPU Cores and Base Frequency

The Qualcomm Snapdragon 782G has 8 CPU cores and can calculate 8 threads in parallel.
The clock frequency of the A-Core is 2.7 GHz.
The number of CPU cores greatly affects the speed of the processor and is an important performance indicator.
The Google Tensor has 8 CPU cores and can calculate 8 threads in parallel.
The clock frequency of the A-Core is 1.8 GHz.
2.2 GHz B-Core Frequency None
None None 2.8 GHz
hybrid (Prime / big.LITTLE) Core architecture hybrid (Prime / big.LITTLE)
1x Kryo 670 Prime Cores A 2x Cortex-X1
8 CPU Cores 8
4x Kryo 670 Silver Cores C 4x Cortex-A55
No Overclocking No
1.9 GHz C-Core Frequency None
No Hyperthreading No
2.7 GHz A-Core Frequency 1.8 GHz
3x Kryo 670 Gold Cores B 2x Cortex-A76
8 Threads 8
 
 

Internal Graphics

The Qualcomm Snapdragon 782G has integrated graphics, called iGPU for short.
Specifically, the Qualcomm Snapdragon 782G uses the Qualcomm Adreno 642L, which has 384 texture shaders
and 4 execution units.
The iGPU uses the system's main memory as graphics memory and sits on the processor's die.
The Google Tensor has integrated graphics, called iGPU for short.
Specifically, the Google Tensor uses the ARM Mali-G78 MP20, which has 320 texture shaders
and 20 execution units.
-- GPU (Turbo) --
6 nm Technology 5 nm
12.0 Direct X 12
4.0 GB Max. GPU Memory 0 bytes
4 Execution units 20
Q2/2021 Release date Q4/2021
Qualcomm Adreno 642L GPU name ARM Mali-G78 MP20
384 Shaders 320
-- GPU frequency 0.76 GHz
5 Generation Vallhall 2
-- Max. displays --
 
 

Artificial Intelligence and Machine Learning

-- AI specifications Google Edge TPU @ 1.6 TOPS
-- AI hardware Google Tensor AI
 
 

Hardware codec support

A photo or video codec that is accelerated in hardware can greatly accelerate the working speed of a processor and extend the battery life of notebooks or smartphones when playing videos.
Decode / Encode h265 / HEVC (8 bit) Decode / Encode
Decode / Encode VP9 Decode / Encode
Decode / Encode VP8 Decode / Encode
Decode VC-1 Decode / Encode
Decode / Encode JPEG Decode / Encode
Decode / Encode h264 Decode / Encode
Decode / Encode h265 / HEVC (10 bit) Decode / Encode
Decode AVC Decode / Encode
No AV1 Decode
 
 

Memory & PCIe

The processor supports a maximum memory capacity of 12.0 GB distributed across 2 memory channels. It offers a peak memory bandwidth of 53.0 GB/s. Both the type and quantity of memory can have a substantial impact on the overall system performance.
LPDDR5-3200 Memory type LPDDR5-5500
25.6 GB/s Bandwidth 53.0 GB/s
No AES-NI No
No ECC No
pci PCIe pci
0 bytes Max. Memory 12.0 GB
2 Memory channels 2
 
 

Thermal Management

TDP indicates the cooling solution needed to effectively manage the processor's heat. It generally provides an approximate indication of the actual power consumption of the CPU itself.
The processor has a thermal design power (TDP) of 10 W watts.
None TDP (PL1 / PBP) 10 W
-- Tjunction max --
 
 

Technical details

The Qualcomm Snapdragon 782G is manufactured using a 5 nm process.
A smaller manufacturing process indicates a more contemporary and energy-efficient CPU.
A substantial cache can significantly enhance the processor's performance, particularly in scenarios like gaming.
The Google Tensor is manufactured using a 5 nm process.
None Virtualization None
5 nm Technology 5 nm
ARMv8-A64 (64 bit) Instruction set (ISA) ARMv8-A64 (64 bit)
ISA extensions
SM7325-AF Part Number --
Chiplet Chip design --
Q4/2022 Release date Q4/2021
-- Release price --
0 bytes L2-Cache 8.0 MB
Technical data sheet Documents Technical data sheet
0 bytes L3-Cache 0 bytes
Socket
Android Operating systems Android
Kryo 670 Architecture G1