Tensor G2 vs A16 Bionic

We compared the 8-core Google Tensor G2 (Mali-G710 MP7) with the older 6-core Apple A16 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 G2
  • Has 2 more cores
Pros of Apple A16 Bionic
  • Has a smaller size transistor (4 versus 5 nm)
  • 21% higher CPU clock speed (3460 vs 2850 MHz)
  • Shows better (up to 19%) AnTuTu 9 score – 951K vs 797K
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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
A16 Bionic +19%
CPU 213533 248335
GPU 317412 394336
Memory 110534 153536
UX 149583 147260
Total score 797130 951329
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
A16 Bionic +78%
Multi-Core Score
A16 Bionic +67%
Image compression 168.3 Mpixels/s 243.5 Mpixels/s
Face detection 24.5 images/s 46.4 images/s
Speech recognition 69.4 words/s 141.8 words/s
Machine learning 71.2 images/s 117.1 images/s
Camera shooting 31.2 images/s 54.3 images/s
HTML 5 2.97 Mnodes/s 5.9 Mnodes/s
SQLite 1010 Krows/s 1430 Krows/s


A cross-platform benchmark that assesses graphics performance in Vulkan (Metal)
3DMark Wild Life Performance
A16 Bionic +54%
Stability 72% 82%
Graphics test 38 FPS 58 FPS
Score 6398 9835


Full list of technical specifications of Tensor G2 and A16 Bionic


Architecture 2x 2.85 GHz – Cortex-X1
2x 2.35 GHz – Cortex-A78
4x 1.8 GHz – Cortex-A55
2x 3.46 GHz – Everest
4x 2.02 GHz – Sawtooth
Cores 8 6
Frequency 2850 MHz 3460 MHz
Instruction set - ARMv9-A
L1 cache - 256 KB
L2 cache - 32 MB
L3 cache 4 MB -
Process 5 nanometers 4 nanometers
Transistor count - 16 billion


GPU name Mali-G710 MP7 Apple GPU
Architecture Valhall -
Execution units 7 6
Vulkan version 1.1 -
OpenCL version 2.0 -
DirectX version 12 -


Memory type LPDDR5 LPDDR5
Memory frequency 3200 MHz 6400 MHz
Bus 4x 16 Bit 4x 16 Bit
Max bandwidth - 51.2 Gbit/s
Max size 12 GB 8 GB

Multimedia (ISP)

Neural processor (NPU) Next-gen Tensor Processing Unit Neural Engine
Storage type UFS 3.1 NVMe
Max display resolution 3840 x 2160 2796 x 1290
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
Wi-Fi 6 6
Bluetooth 5.2 5.3
Navigation GPS, GLONASS, Beidou, Galileo, QZSS GPS, GLONASS, Beidou, Galileo, QZSS


Announced October 2022 September 2022
Class Flagship Flagship

Cast your vote

So, which SoC would you choose?
167 (30.1%)
387 (69.9%)
Total votes: 554


Please give your opinion on the comparison of A16 Bionic and Tensor G2, or ask any questions
Randy chan 02 March 2023 23:05
Google tensor G2 vs Apple A16 bionic Is this even a contest? I think not Hopefully Google tensor G3 vs Apple A16 bionic Will be more of a contest even though Apple will still win by a large margin.
0 Reply
Dinervc 13 January 2023 01:23
The Tensor G2 is basically a smarter version of the A12>G2
0 Reply
Praise.jr 10 January 2023 23:01
Yh true, it's not a surprise but I hope Google can still deliver more powerful chips closer to what apple brings to the table.
+2 Reply
Dinervc 13 January 2023 01:19
I am guessing in 2025… will Google finally beat the A15…
+11 Reply
Randy chan 02 March 2023 22:58
Dinervc, You're probably right, when it comes to phone chip sets, Apple is miles ahead of Google.
0 Reply
Randy 24 December 2022 01:57
It's really not a surprise that Apple's a16 bionic chip specs beats Google's in house chip tensor 2 in the dust since Apple's former flagship chip a15 bionic also beats tensor 2. And then, add to that apple iPhones have superior software-hardware efficiency and optimization vs google pixel phones and you have apple winning this contest easily by a mile.
+4 Reply