Google Tensor G3 vs Google Tensor G2

Google Tensor G3 or Google Tensor G3 – 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 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.
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.

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.
The number of CPU cores greatly affects the speed of the processor and is an important performance indicator.
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.

The Google Tensor G3 has integrated graphics, called iGPU for short.
and 10 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.

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.

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.

The processor has a thermal design power (TDP) of 10 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 Google Tensor G3 is manufactured using a 3 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.