Google Tensor vs A15 Bionic

We compared the 8-core Google Tensor (Mali-G78 MP20) with the older 6-core Apple A15 Bionic (Apple GPU) SoC. Here you will find the pros and cons of each chip, technical specs, and comprehensive tests in benchmarks, like AnTuTu and Geekbench.


General comparison of performance, power consumption, and other indicators
CPU Performance
Single and multi-core processor tests
Gaming Performance
GPU performance in games and OpenCL/Vulcan
Battery life
Efficiency of battery consumption
NanoReview Score
Overall chip score

Key Differences

Main differences and advantages of each chip
Pros of Google Tensor
  • Has 2 more cores
  • Supports 20% higher memory bandwidth (51.2 against 42.7 GB/s)
Pros of Apple A15 Bionic
  • Higher GPU frequency (~42%)
  • 16% higher CPU clock speed (3240 vs 2800 MHz)
  • Shows better (up to 8%) AnTuTu 9 score – 797K vs 741K
  • Better instruction set architecture
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Performance tests in popular benchmarks

AnTuTu 9

The AnTuTu Benchmark measures CPU, GPU, RAM, and I/O performance in different scenarios
CPU 196221 208246
GPU 297786 322246
Memory 107096 131426
UX 143527 135941
Total score 741139 797558
AnTuTu results from iOS and Android are not directly comparable! They won't affect NanoReview scores.

GeekBench 5

The GeekBench test shows raw single-threaded and multithreaded CPU performance
Single-Core Score
A15 Bionic +66%
Multi-Core Score
A15 Bionic +69%
Image compression - 224.8 Mpixels/s
Face detection - 43.1 images/s
Speech recognition - 136.1 words/s
Machine learning - 104.9 images/s
Camera shooting - 49.3 images/s
HTML 5 - 5.64 Mnodes/s
SQLite - 1270 Krows/s


A cross-platform benchmark that assesses graphics performance in Vulkan (Metal)
3DMark Wild Life Performance
A15 Bionic +40%
Stability 55% 79%
Graphics test 37 FPS 52 FPS
Score 6222 8739


Full list of technical specifications of Google Tensor and A15 Bionic


Architecture 2x 2.8 GHz – Cortex-X1
2x 2.25 GHz – Cortex A76
4x 1.8 GHz – Cortex A55
2x 3.24 GHz – Avalanche
4x 2.02 GHz – Blizzard
Cores 8 6
Frequency 2800 MHz 3240 MHz
Instruction set ARMv8.2-A ARMv8.5-A
L1 cache - 256 KB
L2 cache 3 MB 32 MB
L3 cache 4 MB -
Process 5 nanometers 5 nanometers
Transistor count - 15 billion
TDP 10 W 6 W


GPU name Mali-G78 MP20 Apple GPU
Architecture Valhall -
GPU frequency 848 MHz 1200 MHz
Execution units 20 5
Shading units 320 640
FLOPS 2171 Gigaflops -
Vulkan version 1.1 -
OpenCL version 2.0 -
DirectX version 12 -


Memory type LPDDR5 LPDDR4X
Memory frequency 3200 MHz 4266 MHz
Bus 4x 16 Bit -
Max bandwidth 51.2 Gbit/s 42.7 Gbit/s
Max size 12 GB 8 GB

Multimedia (ISP)

Neural processor (NPU) Tensor Processing Unit Neural Engine
Storage type UFS 3.1 NVMe
Max display resolution 3840 x 2160 2732 x 2048
Video capture 4K at 60FPS 4K at 60FPS
Video playback 4K at 60FPS 4K at 60FPS
Video codecs H.264, H.265, AV1, VP9 H.264, H.265, VP8, VP9, Motion JPEG
Audio codecs AAC, AIFF, CAF, MP3, MP4, WAV AAC, AIFF, CAF, MP3, MP4, WAV, AC-3, E-AC-3, AAX, AAX+


4G support LTE Cat. 24 LTE Cat. 24
5G support Yes Yes
Download speed Up to 1200 Mbps -
Upload speed Up to 200 Mbps -
Wi-Fi 6 6
Bluetooth 5.2 5.0
Navigation GPS, GLONASS, Beidou, Galileo, QZSS GPS, GLONASS, Beidou, Galileo, QZSS


Announced October 2021 September 2021
Class Flagship Flagship
Model number S5E9845 APL1W07
Official page Google Tensor official site -

Cast your vote

So, which SoC would you choose?
619 (34.9%)
1157 (65.1%)
Total votes: 1776


Please give your opinion on the comparison of A15 Bionic and Google Tensor, or ask any questions
Danny 15 December 2021 06:20
Google tensor vs apple a15 bionic Rookie vs longtime defending champion Verdict: apple a15 bionic wins easily
+40 Reply
Error 21 October 2021 17:25
A chip from Google. Based on samsung 5nm, this should not end up like 888. Let's wait for antutu score and other real life performance. Apple be like- Real battle is now started.
+34 Reply
Alex 25 October 2021 09:49
Antutu scores are not valid at all, not for comparing it to A-Series cpus since iOS antutu runs different benchmarks. They’ve claimed this same exact thing on their website
+7 Reply
User not found 27 October 2021 17:44
I expected that tensor chip outperforms in ML test, but it has a huge gap while compared to a15
+7 Reply
Me. 07 December 2021 19:05
User not found, Nah, it's always the same smoothest as the iPhone when you tried in MOBA, Except the Heaviest RPG/MMORPG one.
0 Reply
Alex 24 February 2022 11:59
obviously, as the a15 is just faster in general
+7 Reply
Anonymous 23 January 2023 04:52
Alex, Alex is not just faster but also more stable and efficient when it comes to heavy tasks.
0 Reply