Confronta Apple M2 VS Google Tensor. Which processor delivers superior performance?
In this detailed comparison, we evaluate the specifications and benchmarks of both processors to determine the best choice for your needs. We analyze their core counts, maximum frequencies, and power consumption.
Apple M2 boasts a maximum frequency of 3.50 GHz GHz. 8 cores that enhance multitasking capabilities.With a power consumption of 15 W W, it ensures efficient performance.Rilasciato in Q1/2022, it incorporates the latest technology for optimal efficiency.
Google Tensor features a maximum frequency of 2.80 GHz GHz. 8 / 8 cores designed for high-performance tasks.Its power consumption is 10 W W, providing a balance of power and efficiency.Launched in Q4/2021, it is built to handle demanding applications.
Motivi da considerare Posizione nella classifica generale
(sulla base di diversi parametri di riferimento)
score
Velocità di clock più alta
Intorno a 20% migliore velocità di clock
2.80 GHz
Posizioni comuni Apple M2 CPU in benchmark popolari, per un confronto con altri modelli.
Motivi da considerare Posizione nella classifica generale
(sulla base di diversi parametri di riferimento)
score
Prestazioni per watt
About 0.67 meno calore generato dal processore, W.
15 W
Posizioni comuni Google Tensor CPU in benchmark popolari, per un confronto con altri modelli.
Apple M2
Comprehensive background on the processors being compared, detailing their series, generation, and targeted market segment.
Mobile
Google Tensor
1
Google Tensor
Essential parameters including the number of cores, threads, base and turbo frequencies, and cache size. These metrics provide insight into the processor’s speed—higher values generally indicate better performance.
2.80 GHz
No turbo
No turbo
No
No
hybrid (Prime / big.LITTLE)
The integrated graphics (iGPU) do not influence the CPU performance significantly; they serve as a substitute for a dedicated graphics card in the absence of one or are utilized in mobile devices.
ARM Mali-G78 MP20
0.76 GHz
No turbo
20
320
--
1
Vallhall 2
5 nm
Q4/2021
This section details the built-in codecs used for encoding and decoding media content, which significantly enhance processing speed and efficiency.
Decode / Encode
Decode / Encode
Decode / Encode
Decode / Encode
Decode / Encode
Decode
Decode / Encode
Decode / Encode
Decode / Encode
Overview of the types and quantities of RAM supported by Google Tensor e Apple M2. The supported memory frequencies may vary depending on the motherboard configuration.
LPDDR5-5500
12 GB
No
2
Analyze the TDP (Thermal Design Power) requirements of Apple M2 e Google Tensor to make an informed decision on the appropriate cooling system. Remember that TDP refers to thermal watts, not electrical watts.
10 W
--
--
Information on architecture, interfaces, and additional instructions supported by Apple M2 e Google Tensor, including virtual machine technologies and fabrication processes.
ARMv8-A64 (64 bit)
None
8.00 MB
5 nm
N/A
Q4/2021
By analyzing the results from various benchmarks, you can gain a clearer understanding of the performance differences between Apple M2 e Google Tensor.
Compare the synthetic benchmark scores and make an informed decision on the best processor for your needs!
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