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

Overall score
star star star star star
Released
Q1/2022
Apple M2
Apple M2
Released
Q4/2021
Overall score
star star star star star
Google Tensor
Google Tensor

Compare 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.Released 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.

Differences

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 20% better clock speed

    3.50 GHz left arrow 2.80 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
Google Tensor Reasons to consider
Google Tensor
Report a bug
  • Place in the overall ranking

    (based on several benchmarks)

    659 left arrow score
  • Performance per watt

    About 0.67 times less performance per watt

    10 W left arrow 15 W

Positions in all rankings

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

  • Geekbench 5, 64bit (Single-Core)
    496 place
  • Geekbench 5, 64bit (Multi-Core)
    810 place
  • iGPU - FP32 Performance (Single-precision GFLOPS)
    118 place
  • AnTuTu 9 Benchmark
    10 place

Specifications

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

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

  • Segment
    Mobile left arrow Mobile
  • Family
    Apple M series left arrow Google Tensor
  • Generation
    2 left arrow 1
  • CPU group
    Apple M2 left arrow Google Tensor
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.

  • Frequency
    3.50 GHz left arrow 2.80 GHz
  • Turbo (1 Core)
    No turbo left arrow No turbo
  • Turbo (8 Cores)
    No turbo left arrow No turbo
  • Hyperthreading
    No left arrow No
  • Overclocking
    No left arrow No
  • Core architecture
    hybrid (big.LITTLE) left arrow hybrid (Prime / big.LITTLE)
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
    Apple M2 (8 Core) left arrow ARM Mali-G78 MP20
  • GPU frequency
    3.50 GHz left arrow 0.76 GHz
  • GPU (Turbo)
    No turbo left arrow No turbo
  • Execution units
    128 left arrow 20
  • Shader
    0 left arrow 320
  • Max. GPU Memory
    16 GB left arrow --
  • Max. displays
    3 left arrow 1
  • Generation
    2 left arrow Vallhall 2
  • Technology
    5 nm left arrow 5 nm
  • Release date
    Q1/2022 left arrow Q4/2021
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
  • VP9
    Decode / Encode left arrow Decode / Encode
  • VP8
    Decode left arrow Decode / Encode
  • AV1
    Decode left arrow Decode
  • AVC
    Decode left arrow Decode / Encode
  • VC-1
    Decode left arrow Decode / Encode
  • JPEG
    Decode / Encode left arrow Decode / Encode
Memory specs & PCI

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

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

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

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

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

  • Instruction set (ISA)
    ARMv8-A64 (64 bit) left arrow ARMv8-A64 (64 bit)
  • Virtualization
    None left arrow None
  • ISA extensions
    Rosetta 2 x86-Emulation left arrow
  • L2-Cache
    16.00 MB left arrow 8.00 MB
  • Architecture
    M2 left arrow
  • Technology
    5 nm left arrow 5 nm
  • Socket
    N/A left arrow N/A
  • Release date
    Q1/2022 left arrow Q4/2021

Benchmarks

Performance tests CPUs

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

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

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