Google Tensor
Apple A15 Bionic
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Google Tensor contre Apple A15 Bionic. Spécifications, performances, tests

Note globale
star star star star star
Libéré
Q4/2021
Google Tensor
Google Tensor
Libéré
Q3/2021
Note globale
star star star star star
Apple A15 Bionic
Apple A15 Bionic

Comparez 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.Sorti en 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 Raisons de considérer
Google Tensor
Signaler un bogue
  • Place dans le classement général

    (sur la base de plusieurs critères de référence)

    659 left arrow score
  • Plus grand nombre de cœurs

    2 Plus de cœurs

    8 left arrow 6

Positions dans tous les classements

Positions communes Google Tensor CPU dans des benchmarks populaires, pour comparaison avec d'autres modèles.

  • 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 Raisons de considérer
Apple A15 Bionic
Signaler un bogue
  • Place dans le classement général

    (sur la base de plusieurs critères de référence)

    549 left arrow score
  • Vitesse d'horloge plus élevée

    Autour de 13% une meilleure vitesse d'horloge

    3.23 GHz left arrow 2.80 GHz
  • Performance par watt

    About 0.85 moins de chaleur générée par le processeur, W.

    8.5 W left arrow 10 W

Positions dans tous les classements

Positions communes Apple A15 Bionic CPU dans des benchmarks populaires, pour comparaison avec d'autres modèles.

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

Spécifications

Données techniques
Google Tensor Google Tensor
Apple A15 Bionic Apple A15 Bionic
CPU famille et groupe

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

  • Série
    Google Tensor left arrow Apple A series
  • Groupe de CPU
    Google Tensor left arrow Apple A15
  • Segment
    Mobile left arrow Mobile
  • Génération
    1 left arrow 15
  • Modèle précédent
    -- left arrow Apple A14 Bionic
Caractéristiques techniques du CPU

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.

  • Architecture de base
    hybrid (Prime / big.LITTLE) left arrow hybrid (big.LITTLE)
  • Fréquence
    2.80 GHz left arrow 3.23 GHz
  • Turbo (1 cœur)
    Pas de turbo left arrow Pas de turbo
  • Hyperthreading
    Non left arrow Non
  • Overclocking
    Non left arrow Non
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.

  • Nom du GPU
    ARM Mali-G78 MP20 left arrow Apple A15 (5 GPU Cores)
  • GPU frequency
    0.76 GHz left arrow 1.80 GHz
  • GPU (Turbo)
    Pas de turbo left arrow 3.20 GHz
  • Unités d'exécution
    20 left arrow 5
  • Shader
    320 left arrow Geekbench 5 SC is a popular cross-platform performance test for desktnt la mémoire du système.
  • Max. GPU Memory
    -- left arrow 8 GB
  • Max. displays
    1 left arrow 3
  • Génération
    Vallhall 2 left arrow 12
  • Processus technologique
    5 nm left arrow 5 nm
  • Date de sortie
    Q4/2021 left arrow Q3/2021
Prise en charge des codecs matériels

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
Spécifications de la mémoire et PCI

Overview of the types and quantities of RAM supported by Apple A15 Bionic et Google Tensor. The supported memory frequencies may vary depending on the motherboard configuration.

  • Type de mémoire
    LPDDR5-5500 left arrow LPDDR4X-4266
  • Max. Mémoire
    12 GB left arrow 8 GB
  • Canaux de mémoire
    2 left arrow 2
  • ECC
    Non left arrow Non
Consommation d'énergie

Analyze the TDP (Thermal Design Power) requirements of Google Tensor et 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 et extensions

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

  • Jeu d'instructions (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
  • Processus technologique
    5 nm left arrow 5 nm
  • Virtualization
    None left arrow None
  • Socket
    N/A left arrow N/A
  • Date de sortie
    Q4/2021 left arrow Q3/2021

Benchmarks

Tests de performance CPUs

By analyzing the results from various benchmarks, you can gain a clearer understanding of the performance differences between Google Tensor et 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)
Les performances de l'iGPU - le GPU interne dans les jeux.
1943
Google Tensor
1224
Apple A15 Bionic

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