MediaTek Dimensity 930 vs Google Tensor

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CPU comparison with benchmarks

-VS-

CPU lineage

MediaTek Dimensity 930 or MediaTek Dimensity 930 – 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 MediaTek Dimensity 930 features 8 processor cores and has the capability to manage 8 threads concurrently.
It was released in Q3/2022 and belongs to the 2 generation of the Mediatek Dimensity 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.
MediaTek Dimensity 900 Group Google Tensor
2 Generation 1
Mobile Segment Mobile
MediaTek Dimensity 930 Name Google Tensor
Mediatek Dimensity Family Google Tensor
 
 

CPU Cores and Base Frequency

The MediaTek Dimensity 930 has 8 CPU cores and can calculate 8 threads in parallel.
The clock frequency of the A-Core is 2.2 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 has 8 CPU cores and can calculate 8 threads in parallel.
The clock frequency of the A-Core is 1.8 GHz.
None None 4x Cortex-A55
8 Threads 8
2.0 GHz B-Core Frequency None
8 CPU Cores 8
hybrid (big.LITTLE) Core architecture hybrid (Prime / big.LITTLE)
2x Cortex-A78 Cores A 2x Cortex-X1
No Hyperthreading No
2.2 GHz A-Core Frequency 1.8 GHz
None None 2.8 GHz
No Overclocking No
6x Cortex-A55 Cores B 2x Cortex-A76
 
 

Internal Graphics

The MediaTek Dimensity 930 has integrated graphics, called iGPU for short.
and 8 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.
-- Shaders 320
Q4/2019 Release date Q4/2021
0 nm Technology 5 nm
-- Direct X 12
0 bytes Max. GPU Memory 0 bytes
-- Max. displays --
8 Execution units 20
1.0 GHz GPU frequency 0.76 GHz
10 Generation Vallhall 2
-- GPU (Turbo) --
PowerVR IMG AXM-8-256 GPU name ARM Mali-G78 MP20
 
 

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.
No VP8 Decode / Encode
No VC-1 Decode / Encode
Decode / Encode JPEG Decode / Encode
No AV1 Decode
Decode / Encode h265 / HEVC (8 bit) Decode / Encode
No AVC Decode / Encode
Decode / Encode h264 Decode / Encode
No VP9 Decode / Encode
Decode / Encode h265 / HEVC (10 bit) Decode / Encode
 
 

Memory & PCIe

The processor supports a maximum memory capacity of 16.0 GB distributed across 4 memory channels. It offers a peak memory bandwidth of 18.4 GB/s. Both the type and quantity of memory can have a substantial impact on the overall system performance.
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.
pci PCIe pci
No AES-NI No
LPDDR5-6400 Memory type LPDDR5-5500
No ECC No
16.0 GB Max. Memory 12.0 GB
4 Memory channels 2
18.4 GB/s Bandwidth 53.0 GB/s
 
 

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 MediaTek Dimensity 930 is manufactured using a 6 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.
Q3/2022 Release date Q4/2021
None Virtualization None
ISA extensions
6 nm Technology 5 nm
Chiplet Chip design --
-- Release price --
Cortex-A78 / Cortex-A55 Architecture G1
0 bytes L3-Cache 0 bytes
Android Operating systems Android
Technical data sheet Documents Technical data sheet
ARMv8-A64 (64 bit) Instruction set (ISA) ARMv8-A64 (64 bit)
MT6878 Part Number --
Socket
0 bytes L2-Cache 8.0 MB