什么是最好的选择 Google Tensor 或 Apple M2? 哪种处理器更快？
Compare the available specifications of these models.
Google Tensor has a base frequency of 2.80 GHz. 8 / 8 CPU Cores / Threads. Stated TDP / base power 10 W. 发布于 Q4/2021.
Apple M2 has a base frequency of 3.50 GHz. 8 CPU Cores / Threads. Stated TDP / base power 15 W. 发布于 Q1/2022.
需要考虑的原因 Lower stated TDP / base power
Power limits alone do not measure performance per watt.
15 W
共同立场 Google Tensor 在流行的基准测试中的CPU，用于与其他型号进行比较.
更高的时钟速度
左右 25% 更好的时钟速度
2.80 GHz
共同立场 Apple M2 在流行的基准测试中的CPU，用于与其他型号进行比较.
No data
Google Tensor
有关被比较的处理器、系列、代数和细分市场的背景信息。
Apple M2
Apple M series
2
Mobile
Core counts, threads, cache and clock modes describe the CPU configuration. Performance depends on the workload and comparable measured results.
4x Avalanche
4x Blizzard
3.5 GHz
-
hybrid (big.LITTLE)
8
8
没有
没有
没有涡轮增压
没有涡轮增压
内部图形不影响CPU的性能，在没有显卡或在移动设备上执行显卡的工作。
-
128
2
3500 MHz
Apple M2 (8 Core)
没有涡轮增压
3
16 GB
Q1/2022
0
5 nm
用于编码和解码内容的内置编解码器。大大地加快了所需的操作。
Decode
Conflicting source values: Decode | Decode / Encode
Decode / Encode
Decode / Encode
Decode / Encode
Decode
Decode
Decode / Encode
支持的RAM的类型、通道数量 Apple M2 和 Google Tensor. 根据主板的不同，可能支持更高或更低的内存频率。
没有
16 GB
2
LPDDR5-5500
4.0
是
比较TDP的要求 Google Tensor 和 Apple M2 Power specifications describe different manufacturer limits. TDP, base power and maximum turbo power are separate values; they do not establish measured system consumption.
15 W
10 W
20 W
架构、接口、所支持的额外指令 Google Tensor 和 Apple M2, 虚拟机技术和工艺技术。
M2
ARMv8-A64 (64 bit)
Rosetta 2 x86-Emulation
16.00 MB
Q1/2022
5 nm
None
No comparable benchmark results are available yet. Specifications alone do not determine which model is faster.
These are saved results from the earlier catalog. Measurement dates and test configurations were not recorded. Models with no comparable results are omitted.
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