Google Tensor
Apple A15 Bionic
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Google Tensor vs Apple A15 Bionic. Specifications, performance, tests

Overall score
star star star star star
Released
Q4/2021
Google Tensor
Google Tensor
Released
Q3/2021
Overall score
star star star star star
Apple A15 Bionic
Apple A15 Bionic

Compare Google Tensor VS Apple A15 Bionic. 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 boasts a maximum frequency of 2.80 GHz GHz. 8 / 8 cores that enhance multitasking capabilities.With a power consumption of 10 W W, it ensures efficient performance.Released in Q4/2021, it incorporates the latest technology for optimal efficiency.

Apple A15 Bionic features a maximum frequency of 3.23 GHz GHz. 6 cores designed for high-performance tasks.Its power consumption is 8.5 W W, providing a balance of power and efficiency.Launched in Q3/2021, it is built to handle demanding applications.

Differences

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

    (based on several benchmarks)

    659 left arrow score
  • More number of cores

    2 times more cores

    8 left arrow 6

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
Apple A15 Bionic Reasons to consider
Apple A15 Bionic
Report a bug
  • Place in the overall ranking

    (based on several benchmarks)

    549 left arrow score
  • Higher clock speed

    Around 13% better clock speed

    3.23 GHz left arrow 2.80 GHz
  • Performance per watt

    About 0.85 times less performance per watt

    8.5 W left arrow 10 W

Positions in all rankings

Common positions Apple A15 Bionic CPU in popular benchmarks, for comparison with other models.

  • Geekbench 5, 64bit (Single-Core)
    121 place
  • Geekbench 5, 64bit (Multi-Core)
    541 place
  • iGPU - FP32 Performance (Single-precision GFLOPS)
    261 place

Specifications

Technical data
Google Tensor Google Tensor
Apple A15 Bionic Apple A15 Bionic
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 A series
  • CPU group
    Google Tensor left arrow Apple A15
  • Segment
    Mobile left arrow Mobile
  • Generation
    1 left arrow 15
  • Predecessor
    -- left arrow Apple A14 Bionic
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)
  • Frequency
    2.80 GHz left arrow 3.23 GHz
  • Turbo (1 Core)
    No turbo left arrow No turbo
  • Hyperthreading
    No left arrow No
  • 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-G78 MP20 left arrow Apple A15 (5 GPU Cores)
  • GPU frequency
    0.76 GHz left arrow 1.80 GHz
  • GPU (Turbo)
    No turbo left arrow 3.20 GHz
  • Execution units
    20 left arrow 5
  • Shader
    320 left arrow 0
  • Max. GPU Memory
    -- left arrow 8 GB
  • Max. displays
    1 left arrow 3
  • Generation
    Vallhall 2 left arrow 12
  • Technology
    5 nm left arrow 5 nm
  • Release date
    Q4/2021 left arrow Q3/2021
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
  • VP8
    Decode / Encode left arrow Decode / Encode
  • 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 A15 Bionic and Google Tensor. The supported memory frequencies may vary depending on the motherboard configuration.

  • Memory type
    LPDDR5-5500 left arrow LPDDR4X-4266
  • Max. Memory
    12 GB left arrow 8 GB
  • Memory channels
    2 left arrow 2
  • ECC
    No left arrow No
Thermal Management

Analyze the TDP (Thermal Design Power) requirements of Google Tensor and Apple A15 Bionic 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 8.5 W
Technologies and extensions

Information on architecture, interfaces, and additional instructions supported by Google Tensor and Apple A15 Bionic, including virtual machine technologies and fabrication processes.

  • Instruction set (ISA)
    ARMv8-A64 (64 bit) left arrow x86-64 (64 bit)
  • L2-Cache
    8.00 MB left arrow 4.00 MB
  • Architecture
    left arrow A15
  • Technology
    5 nm left arrow 5 nm
  • Virtualization
    None left arrow None
  • Socket
    N/A left arrow N/A
  • Release date
    Q4/2021 left arrow Q3/2021

Benchmarks

Performance tests CPUs

By analyzing the results from various benchmarks, you can gain a clearer understanding of the performance differences between Google Tensor and Apple A15 Bionic.

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

Geekbench 5, 64bit (Single-Core)
Geekbench 5 SC is a popular cross-platform performance test for desktop or mobile processors that uses system memory intensively
1038
Google Tensor
1732
Apple A15 Bionic
Geekbench 5, 64bit (Multi-Core)
Geekbench 5 MC is a popular cross-platform performance test for desktop or mobile processors that uses system memory intensively
2810
Google Tensor
4777
Apple A15 Bionic
iGPU - FP32 Performance (Single-precision GFLOPS)
The performance of the iGPU - the internal GPU in games
1943
Google Tensor
1224
Apple A15 Bionic

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