Google Tensor
Apple A15 Bionic
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Google Tensor gegen Apple A15 Bionic. Spezifikationen, Leistung, Tests

Gesamtnote
star star star star star
Freigegeben
Q4/2021
Google Tensor
Google Tensor
Freigegeben
Q3/2021
Gesamtnote
star star star star star
Apple A15 Bionic
Apple A15 Bionic

Vergleichen Sie 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.Freigegeben 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.

Unterschiede

Google Tensor Gründe für die Berücksichtigung
Google Tensor
Einen Fehler melden
  • Platz in der Gesamtwertung

    (basierend auf mehreren Benchmarks)

    659 left arrow score
  • Größere Anzahl von Kernen

    2 Mehr Kerne

    8 left arrow 6

Positionen in allen Ranglisten

Gemeinsame Standpunkte Google Tensor CPU in gängigen Benchmarks, zum Vergleich mit anderen Modellen.

  • 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 Gründe für die Berücksichtigung
Apple A15 Bionic
Einen Fehler melden
  • Platz in der Gesamtwertung

    (basierend auf mehreren Benchmarks)

    549 left arrow score
  • Höhere Taktfrequenz

    Rund um 13% höhere taktfrequenz

    3.23 GHz left arrow 2.80 GHz
  • Leistung pro Watt

    About 0.85 weniger Wärmeentwicklung durch den Prozessor, W.

    8.5 W left arrow 10 W

Positionen in allen Ranglisten

Gemeinsame Standpunkte Apple A15 Bionic CPU in gängigen Benchmarks, zum Vergleich mit anderen Modellen.

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

Specifications

Technische Daten
Google Tensor Google Tensor
Apple A15 Bionic Apple A15 Bionic
CPU-Familie und Gruppe

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

  • Serie
    Google Tensor left arrow Apple A series
  • CPU Gruppe
    Google Tensor left arrow Apple A15
  • Segment
    Mobile left arrow Mobile
  • Generation
    1 left arrow 15
  • Vergangenes Modell
    -- left arrow Apple A14 Bionic
Technische Daten der 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.

  • Zentrale Architektur
    hybrid (Prime / big.LITTLE) left arrow hybrid (big.LITTLE)
  • Frequenz
    2.80 GHz left arrow 3.23 GHz
  • Turbo (1 Kern)
    kein Turbo left arrow kein Turbo
  • Hyperthreading
    Nein left arrow Nein
  • Übertaktung
    Nein left arrow Nein
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)
    kein Turbo left arrow 3.20 GHz
  • Ausführungseinheiten
    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
  • technisches verfahren
    5 nm left arrow 5 nm
  • Datum der Veröffentlichung
    Q4/2021 left arrow Q3/2021
Hardware Codec Unterstützung

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
Speicherspezifikationen & PCI

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

  • Speicher Typ
    LPDDR5-5500 left arrow LPDDR4X-4266
  • Max. Speicher
    12 GB left arrow 8 GB
  • Speicherkanäle
    2 left arrow 2
  • ECC
    Nein left arrow Nein
Energieverbrauch

Analyze the TDP (Thermal Design Power) requirements of Google Tensor und 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
Technologien und Erweiterungen

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

  • Befehlssatz (ISA)
    ARMv8-A64 (64 bit) left arrow x86-64 (64 bit)
  • L2-Cache
    8.00 MB left arrow 4.00 MB
  • Architektur
    left arrow A15
  • technisches verfahren
    5 nm left arrow 5 nm
  • Virtualisierung
    None left arrow None
  • Steckdose
    N/A left arrow N/A
  • Datum der Veröffentlichung
    Q4/2021 left arrow Q3/2021

Benchmarks (tests)

Leistungstests CPUs

By analyzing the results from various benchmarks, you can gain a clearer understanding of the performance differences between Google Tensor und 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 ist ein beliebter plattformübergreifender Leistungstest für Desktop- oder Mobilprozessoren, der den Systemspeicher intensiv nutzt.
1038
Google Tensor
1732
Apple A15 Bionic
Geekbench 5, 64bit (Multi-Core)
Geekbench 5 MC ist ein beliebter plattformübergreifender Leistungstest für Desktop- oder Mobilprozessoren, der den Systemspeicher intensiv nutzt.
2810
Google Tensor
4777
Apple A15 Bionic
iGPU - FP32 Performance (Single-precision GFLOPS)
Die Leistung der iGPU - der internen GPU in Spielen.
1943
Google Tensor
1224
Apple A15 Bionic

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