Apple A16 Bionic vs Google Tensor G3

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CPU comparison with benchmarks

-VS-

CPU lineage

Apple A16 Bionic or Apple A16 Bionic – 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 Apple A16 Bionic features 6 processor cores and has the capability to manage 6 threads concurrently.
It was released in Q3/2022 and belongs to the 16 generation of the Apple A series series.
The Google Tensor G3 features 8 processor cores and has the capability to manage 8 threads concurrently.
It was released in Q3/2023 and belongs to the 3 generation of the Google Tensor series.
Apple A16 Group Google Tensor G3
16 Generation 3
Apple A16 Bionic Name Google Tensor G3
Mobile Segment Mobile
Apple A series Family Google Tensor
 
 

CPU Cores and Base Frequency

The Apple A16 Bionic has 6 CPU cores and can calculate 6 threads in parallel.
The clock frequency of the A-Core is 3.46 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 G3 has 8 CPU cores and can calculate 8 threads in parallel.
The clock frequency of the A-Core is 3.0 GHz.
2.02 GHz B-Core Frequency 2.45 GHz
hybrid (big.LITTLE) Core architecture hybrid (Prime / big.LITTLE)
2x Everest Cores A 1x Cortex-X3
6 CPU Cores 8
No Overclocking No
None None 4x Cortex-A510
None None 2.15 GHz
No Hyperthreading No
3.46 GHz A-Core Frequency 3.0 GHz
4x Sawtooth Cores B 4x Cortex-A715
6 Threads 8
 
 

Internal Graphics

The Apple A16 Bionic has integrated graphics, called iGPU for short.
Specifically, the Apple A16 Bionic uses the Apple A16 (5 GPU Cores), which has 1280 texture shaders
and 160 execution units.
The iGPU uses the system's main memory as graphics memory and sits on the processor's die.
The Google Tensor G3 has integrated graphics, called iGPU for short.
and 10 execution units.
-- GPU (Turbo) --
4 nm Technology 4 nm
-- Direct X 12
8.0 GB Max. GPU Memory 0 bytes
160 Execution units 10
Q3/2022 Release date Q4/2022
Apple A16 (5 GPU Cores) GPU name ARM Immortalis-G715 MP10
1280 Shaders --
0.7 GHz GPU frequency 0.89 GHz
13 Generation Vallhall
-- Max. displays --
 
 

Artificial Intelligence and Machine Learning

16 Neural cores @ 17 TOPS AI specifications Google Edge TPU
Apple Neural Engine 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 / Encode
 
 

Memory & PCIe

The processor supports a maximum memory capacity of 6.0 GB distributed across 1 memory channels. It offers a peak memory bandwidth of 51.2 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.
LPDDR5-6400 Memory type LPDDR5-5500
51.2 GB/s Bandwidth 53.0 GB/s
No AES-NI No
No ECC No
pci PCIe pci
6.0 GB Max. Memory 12.0 GB
1 Memory channels 2
 
 

Thermal Management

The processor has a thermal design power (TDP) of 8.5 W watts.
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.
8.5 W TDP (PL1 / PBP) 10 W
-- Tjunction max --
 
 

Technical details

The Apple A16 Bionic is manufactured using a 4 nm process.
A smaller manufacturing process indicates a more contemporary and energy-efficient CPU.
In total, this processor boasts a generous 24.0 MB cache.
A substantial cache can significantly enhance the processor's performance, particularly in scenarios like gaming.
The Google Tensor G3 is manufactured using a 3 nm process.
None Virtualization None
4 nm Technology 3 nm
ARMv8-A64 (64 bit) Instruction set (ISA) ARMv9-A64 (64 bit)
ISA extensions
-- Part Number --
Chiplet Chip design Chiplet
Q3/2022 Release date Q3/2023
-- Release price --
20.0 MB L2-Cache 0 bytes
Technical data sheet Documents Technical data sheet
24.0 MB L3-Cache 0 bytes
Socket
iOS Operating systems Android
A16 Architecture G3
 
 

Apple A16 Bionic and Google Tensor G3 in leaderboards