Google Tensor Google Tensor
Apple A12 Bionic Apple A12 Bionic
VS

Comparision Google Tensor vs Apple A12 Bionic

Google Tensor

Google Tensor

Rating: 1 points
Apple A12 Bionic

WINNER
Apple A12 Bionic

Rating: 56 points
Grade
Google Tensor
Apple A12 Bionic
Interfaces and communications
0
4
Memory specification
7
3
Performance
1
7

Top specs and features

Memory frequency

Google Tensor: 5500 MHz Apple A12 Bionic: 2133 MHz

Technological process

Google Tensor: 5 nm Apple A12 Bionic: 7 nm

GPU base clock

Google Tensor: 760 MHz Apple A12 Bionic: MHz

Number of threads

Google Tensor: 8 Apple A12 Bionic:

L2 cache size

Google Tensor: 8 MB Apple A12 Bionic: 8 MB

Description

Google Tensor - 8 - core processor, clocked at 1800 GHz. Apple A12 Bionic is equipped with 6 cores clocked at 2490 MHz. The maximum frequency of the first processor is There is no data GHz. The second is capable of overclocking to 2.49 GHz.

Google Tensor consumes 10 Watt and Apple A12 Bionic 6 Watt.

As for the graphics core. Google Tensor is equipped with There is no data. The second uses Apple A12 Bionic GPU. The first operates at a frequency of 760 MHz. Apple A12 Bionic operates at There is no data MHz.

Regarding processor memory. Google Tensor may support DDR5. The maximum memory capacity is 12 GB. And its throughput is 53 GB/s. Apple A12 Bionic works with DDR4. The maximum amount of memory can be 12. At the same time, the throughput reaches 34 GB/s

Let's move on to performance testing in benchmarks. In the AnTuTu benchmark, Google Tensor scored There is no data points out of 988414 possible points. In the GeekBench 5 (Multi-Core) benchmark, it scored There is no data points out of a possible 16511 points. Apple A12 Bionic in Antutu received 517671 points. And GeekBench 5 (Multi-Core) scored 2996 points .

Results.

Why Apple A12 Bionic is better than Google Tensor

  • Memory frequency 5500 MHz против 2133 MHz, more on 158%
  • Technological process 5 nm против 7 nm, less by -29%
  • Memory Bandwidth 53 GB/s против 34 GB/s, more on 56%
  • FLOPS 1984 TFLOPS против 535 TFLOPS, more on 271%
  • RAM version (DDR) 5 против 4 , more on 25%
  • Number of Cores 8 против 6 , more on 33%

Google Tensor vs Apple A12 Bionic: highlights

Google Tensor
Google Tensor
Apple A12 Bionic
Apple A12 Bionic
Interfaces and communications
VC-1
A video compression standard that provides a high compression ratio and supports various resolutions and bit rates.
Available
There is no data
AVC
Available
There is no data
JPEG
Supports an image compression format that is widely used for photographs and graphics.
Available
There is no data
ECC
Error correction technology that helps detect and correct memory errors resulting from random interference or malfunctions.
Not available
There is no data
Intel® AES-NI Commands
AES is needed to speed up encryption and decryption.
Not available
Available
Memory specification
Memory frequency
RAM may be faster to increase system performance.
5500 MHz
max 7500
Average: 1701 MHz
2133 MHz
max 7500
Average: 1701 MHz
Memory Bandwidth
This is the rate at which the device stores or reads information.
53 GB/s
max 77
Average: 24.1 GB/s
34 GB/s
max 77
Average: 24.1 GB/s
Max. Memory
The largest amount of RAM memory.
12 GB
max 64
Average: 17.1 GB
12 GB
max 64
Average: 17.1 GB
Max. number of memory channels
The more their number, the higher the data transfer rate from memory to processor
2
max 8
Average: 2.1
max 8
Average: 2.1
RAM version (DDR)
Indicates the type and speed of RAM used to temporarily store data and perform tasks on the device. Newer versions of DDR, such as DDR4 or DDR5, provide faster data transfer rates and better overall system performance. Show more
5
max 5
Average: 3.5
4
max 5
Average: 3.5
Performance
Number of Cores
The more cores, the more parallel tasks can be completed in a shorter time. This improves productivity and multitasking quickly, such as launching applications, performing calculations, and more. Show more
8
max 16
Average: 6.4
6
max 16
Average: 6.4
GPU shaders
Refers to the parts of the GPU that are responsible for processing graphics and effects. The more shader units in the GPU, the higher the performance and graphics capabilities. Show more
320
max 1536
Average: 122.4
max 1536
Average: 122.4
CPU base frequency
The base frequency of a processor in mobile processors (SoCs) indicates its default operating frequency when the load on the processor does not require increased performance. The base frequency determines the base speed of the processor and affects the overall performance of the device. Show more
1800 MHz
max 3200
Average: 922.4 MHz
2490 MHz
max 3200
Average: 922.4 MHz
Hyper-threading
A technology that allows a single physical processor to execute multiple threads of tasks at the same time.
Not available
Not available
64-bit
The processor supports data and instruction processing with 64-bit width. This allows you to process more data and perform more complex calculations compared to 32-bit processors. Show more
Available
Available
Number of threads
The more threads, the higher the performance of the processor will be, and it will be able to perform several tasks at the same time.
8
max 24
Average: 5.7
max 24
Average: 5.7
L2 cache size
An L2 cache with a large amount of scratchpad memory allows you to increase the speed of the processor and the overall performance of the system.
8 MB
max 14
Average: 1.6 MB
8 MB
max 14
Average: 1.6 MB
Multiplier Unlocked
Some processors have an unlocked multiplier, thanks to which they work faster and improve the quality in games and other applications.
Not available
Not available
FLOPS
The measurement of processing power of a processor is called FLOPS.
1984 TFLOPS
max 2272
Average: 262.9 TFLOPS
535 TFLOPS
max 2272
Average: 262.9 TFLOPS

FAQ

How many points does Google Tensor and Apple A12 Bionic score in benchmarks?

In the Antutu benchmark, Google Tensor scored There is no data points. Apple A12 Bionic scored 517671 points.

How many cores does the processor have?

Google Tensor has 8 cores. Apple A12 Bionic has 6 cores.

Does the processor support NAVIC?

Google Tensor There is no data.

How many transistors are there in processors?

Google Tensor has There is no data million transistors. Apple A12 Bionic has 6900 million transistors.

What GPU is installed on Google Tensor and Apple A12 Bionic?

Google Tensor uses There is no data. Processor Apple A12 Bionic has graphics core Apple A12 Bionic GPU installed.

How fast are the processors?

Google Tensor is clocked at 1800 MHz. Apple A12 Bionic operates at 2490 MHz.

What kind of RAM is supported?

Google Tensor supports DDR5. Apple A12 Bionic supports DDR4.

What is the maximum frequency of processors?

Google Tensor has a maximum frequency of There is no data Hz. The maximum frequency for Apple A12 Bionic reaches 2.49 GHz.

How much energy do they consume?

The power consumption of Google Tensor can be up to 10 Watts. Apple A12 Bionic has up to 10 Watts.