Samsung Exynos 1380 vs Google Tensor G2

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CPU comparison with benchmarks

-VS-

CPU lineage

Samsung Exynos 1380 or Samsung Exynos 1380 – 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 Samsung Exynos 1380 features 8 processor cores and has the capability to manage 8 threads concurrently.
It was released in Q1/2023 and belongs to the 7 generation of the Samsung Exynos series.
The Google Tensor G2 features 8 processor cores and has the capability to manage 8 threads concurrently.
It was released in Q4/2022 and belongs to the 2 generation of the Google Tensor series.
Samsung Exynos 13xx Group Google Tensor G2
7 Generation 2
Samsung Exynos 1380 Name Google Tensor G2
Mobile Segment Mobile
Samsung Exynos Family Google Tensor
 
 

CPU Cores and Base Frequency

The Samsung Exynos 1380 has 8 CPU cores and can calculate 8 threads in parallel.
The clock frequency of the A-Core is 2.4 GHz.
The number of CPU cores greatly affects the speed of the processor and is an important performance indicator.
Processors with hybrid (big.LITTLE) architecture strike a balance between performance and power efficiency, making them ideal for mobile devices.
The Google Tensor G2 has 8 CPU cores and can calculate 8 threads in parallel.
The clock frequency of the A-Core is 2.85 GHz.
2.0 GHz B-Core Frequency 2.35 GHz
hybrid (big.LITTLE) Core architecture hybrid (Prime / big.LITTLE)
4x Cortex-A78 Cores A 2x Cortex-X1
8 CPU Cores 8
No Overclocking No
None None 4x Cortex-A55
None None 1.8 GHz
No Hyperthreading No
2.4 GHz A-Core Frequency 2.85 GHz
4x Cortex-A55 Cores B 2x Cortex-A78
8 Threads 8
 
 

Internal Graphics

The Samsung Exynos 1380 has integrated graphics, called iGPU for short.
Specifically, the Samsung Exynos 1380 uses the ARM Mali-G68 MP5, which has 80 texture shaders
and 5 execution units.
The iGPU uses the system's main memory as graphics memory and sits on the processor's die.
The Google Tensor G2 has integrated graphics, called iGPU for short.
and 7 execution units.
-- GPU (Turbo) --
6 nm Technology 4 nm
12 Direct X 12
0 bytes Max. GPU Memory 0 bytes
5 Execution units 7
Q2/2020 Release date Q2/2021
ARM Mali-G68 MP5 GPU name ARM Mali-G710 MP7
80 Shaders --
0.95 GHz GPU frequency 0.9 GHz
Vallhall 2 Generation Vallhall 3
-- Max. displays --
 
 

Artificial Intelligence and Machine Learning

-- AI specifications Google Edge TPU @ 4 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 / Encode VC-1 Decode / Encode
Decode / Encode JPEG Decode / Encode
Decode / Encode h264 Decode / Encode
Decode / Encode h265 / HEVC (10 bit) Decode / Encode
Decode / Encode AVC Decode / Encode
Decode 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.
LPDDR4X, LPDDR5 Memory type LPDDR5-5500
-- Bandwidth 53.0 GB/s
No AES-NI No
No ECC No
pci PCIe pci
0 bytes Max. Memory 12.0 GB
-- 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 Samsung Exynos 1380 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 G2 is manufactured using a 4 nm process.
In total, this processor boasts a generous 4.0 MB cache.
None Virtualization None
5 nm Technology 4 nm
ARMv8-A64 (64 bit) Instruction set (ISA) ARMv8-A64 (64 bit)
ISA extensions
S5E8835 Part Number --
-- Chip design Chiplet
Q1/2023 Release date Q4/2022
-- Release price --
0 bytes L2-Cache 8.0 MB
Technical data sheet Documents Technical data sheet
0 bytes L3-Cache 4.0 MB
Socket
Android, Windows ARM Operating systems Android
Cortex-A78/-A55 Architecture G2