Google Tensor G2
Apple M2
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Apple M2 vs Google Tensor G2

Overall score
star star star star star
Released
Q4/2022
Released
Q1/2022
Overall score
star star star star star

Which one of the central processing units is better: Apple M2 or Google Tensor G2? On this page we compare the technical data and benchmark results of different CPUs.

The Apple M2 has 8 cores and 8 threads with maximum working frequency of No turbo. The Apple M2 was released on Q1/2022.

The Google Tensor G2 has cores with 8 threads and No turbo of frequency. The Google Tensor G2 was released on Q4/2022.

Differences
Reasons to consider
Google Tensor G2
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  • Performance per watt
    10 W left arrow 15 W
    About 1.5 0.97 times less performance per watt
Reasons to consider
Apple M2
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Specifications
Complete list of technical specifications
Google Tensor G2 Google Tensor G2
Apple M2 Apple M2
CPU generation and family

Let's find out which one of Google Tensor G2 and Apple M2 is of a more recent generation, and what segment it belongs to.

  • Name
    Google Tensor G2 left arrow Apple M2
  • Family
    Google Tensor left arrow Apple M series
  • CPU group
    Google Tensor G2 left arrow Apple M2
  • Segment
    Mobile left arrow Mobile
  • Generation
    2 left arrow 2
  • Predecessor
    Google Tensor left arrow --
CPU Cores and Base Frequency

In this block we are going to compare Google Tensor G2 vs Apple M2 by main technical specifications: number of cores and threads, base and maximum frequencies, process technology and cache size. The higher these specifications are, the more powerful your CPU will be.

  • Core architecture
    hybrid (Prime / big.LITTLE) left arrow hybrid (big.LITTLE)
  • Overclocking
    No left arrow No
Internal Graphics

Common specifications for integrated graphics cards in Google Tensor G2 and Apple M2 along with supported interfaces and connection options. This block has no effect on the final efficiency of the CPU.

  • GPU name
    ARM Mali-G710 MP7 left arrow Apple M2 (8 Core)
  • GPU frequency
    0.90 GHz left arrow 3.50 GHz
  • GPU (Turbo)
    No turbo left arrow No turbo
  • Execution units
    7 left arrow 128
  • Max. GPU Memory
    -- left arrow 16 GB
  • Max. displays
    1 left arrow 3
  • Generation
    Vallhall 3 left arrow 2
  • Technology
    4 nm left arrow 5 nm
  • Release date
    Q2/2021 left arrow Q1/2022
Hardware codec support

Let's compare the support of video codecs between Google Tensor G2 and Apple M2. Hardware support of video decoding by embedded graphics cards directly affects the speed and quality of rendering videos.

  • h265 / HEVC (8 bit)
    Decode / Encode left arrow Decode / Encode
  • h265 / HEVC (10 bit)
    Decode / Encode left arrow Decode / Encode
  • h264
    Decode / Encode left arrow Decode / Encode
  • VP8
    Decode / Encode left arrow Decode
  • VP9
    Decode / Encode left arrow Decode / Encode
  • AV1
    Decode left arrow Decode
  • AVC
    Decode / Encode left arrow Decode
  • VC-1
    Decode / Encode left arrow Decode
  • JPEG
    Decode / Encode left arrow Decode / Encode
Memory & PCIe

To choose the best model between Google Tensor G2 and Apple M2 you need to pay special attention to memory type, clock frequency, multi-channel features, and PCIe version. The higher these numbers are, the better your CPU will be. Keep in mind that the maximum memory and frequency may also depend on the model of the motherboard.

  • Memory type
    LPDDR5-5500 left arrow LPDDR5-5500
  • Max. Memory
    12 GB left arrow 16 GB
  • Memory channels
    2 (Dual Channel) left arrow 2
  • ECC
    No left arrow No
Thermal Management

Let's find out what TDP value would be better for Google Tensor G2 or Apple M2? The Thermal Design Power (TDP) indicates the maximum amount of heat that should be dissipated by the chip cooling system. However, the value of TDP gives only a rough indication of the real power consumption of the CPU.

  • TDP (PL1)
    10 W left arrow 15 W
  • TDP up
    -- left arrow 20 W
  • TDP down
    -- left arrow 10 W
Technical details

Here you can find a comparison of 2nd and 3rd level cache sizes for Google Tensor G2 and Apple M2 CPUs along with a list of ISA extensions.

  • Technology
    4 nm left arrow 5 nm
  • Socket
    N/A left arrow N/A
  • L2-Cache
    8.00 MB left arrow 16.00 MB
  • L3-Cache
    4.00 MB left arrow --
  • Architecture
    G2 left arrow M2
  • Virtualization
    None left arrow None
  • Instruction set (ISA)
    ARMv8-A64 (64 bit) left arrow ARMv8-A64 (64 bit)
  • ISA extensions
    left arrow Rosetta 2 x86-Emulation
  • Release date
    Q4/2022 left arrow Q1/2022
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