Google Tensor G2
Apple M2
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Google Tensor G2 vs Apple M2. Specifications, performance, tests

Overall score
star star star star star
Released
Q4/2022
Google Tensor G2
Google Tensor G2
Released
Q1/2022
Overall score
star star star star star
Apple M2
Apple M2

Compare Google Tensor G2 VS Apple M2. 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.

Google Tensor G2 boasts a maximum frequency of 2.85 GHz GHz. 8 / 8 cores that enhance multitasking capabilities.With a power consumption of 10 W W, it ensures efficient performance.Released in Q4/2022, it incorporates the latest technology for optimal efficiency.

Apple M2 features a maximum frequency of 3.50 GHz GHz. 8 cores designed for high-performance tasks.Its power consumption is 15 W W, providing a balance of power and efficiency.Launched in Q1/2022, it is built to handle demanding applications.

Differences

Google Tensor G2 Reasons to consider
Google Tensor G2
Report a bug
  • Place in the overall ranking

    (based on several benchmarks)

    1036 left arrow score
  • Performance per watt

    times less performance per watt

    10 W left arrow 15 W

Positions in all rankings

Common positions Google Tensor G2 CPU in popular benchmarks, for comparison with other models.

  • Geekbench 5, 64bit (Single-Core)
    475 place
  • Geekbench 5, 64bit (Multi-Core)
    750 place
  • iGPU - FP32 Performance (Single-precision GFLOPS)
    503 place
Apple M2 Reasons to consider
Apple M2
Report a bug
  • Place in the overall ranking

    (based on several benchmarks)

    164 left arrow score
  • Higher clock speed

    Around 19% better clock speed

    3.50 GHz left arrow 2.85 GHz

Positions in all rankings

Common positions Apple M2 CPU in popular benchmarks, for comparison with other models.

  • Cinebench R23 (Single-Core)
    60 place
  • Cinebench R23 (Multi-Core)
    197 place
  • Geekbench 5, 64bit (Single-Core)
    68 place
  • Geekbench 5, 64bit (Multi-Core)
    283 place
  • iGPU - FP32 Performance (Single-precision GFLOPS)
    42 place
  • Blender 2.81 (bmw27)
    120 place
  • Estimated results for PassMark CPU Mark
    361 place
  • Geekbench 6 (Single-Core)
    46 place
  • Geekbench 6 (Multi-Core)
    125 place

Specifications

Technical data
Google Tensor G2 Google Tensor G2
Apple M2 Apple M2
CPU family and group

Comprehensive background on the processors being compared, detailing their series, generation, and targeted market segment.

  • 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 Technical specs

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.

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

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.

  • 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

This section details the built-in codecs used for encoding and decoding media content, which significantly enhance processing speed and efficiency.

  • 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 specs & PCI

Overview of the types and quantities of RAM supported by Apple M2 and Google Tensor G2. The supported memory frequencies may vary depending on the motherboard configuration.

  • 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

Analyze the TDP (Thermal Design Power) requirements of Google Tensor G2 and Apple M2 to make an informed decision on the appropriate cooling system. Remember that TDP refers to thermal watts, not electrical watts.

  • TDP (PL1)
    10 W left arrow 15 W
  • TDP up
    -- left arrow 20 W
  • TDP down
    -- left arrow 10 W
Technologies and extensions

Information on architecture, interfaces, and additional instructions supported by Google Tensor G2 and Apple M2, including virtual machine technologies and fabrication processes.

  • 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

Benchmarks

Performance tests CPUs

By analyzing the results from various benchmarks, you can gain a clearer understanding of the performance differences between Google Tensor G2 and Apple M2.

Compare the synthetic benchmark scores and make an informed decision on the best processor for your needs!

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