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Tensor G2 vs A16 Bionic

Tensor G2
VS
A16 Bionic
Tensor G2
A16 Bionic

We compared the 8-core Google Tensor G2 (Mali-G710 MP7) with the older 6-core Apple A16 Bionic (Apple A16 GPU) SoC. Here you will find the pros and cons of each chip, technical specs, and comprehensive tests in benchmarks, like AnTuTu and Geekbench.

  1. Review
  2. Differences
  3. Benchmarks
  4. AnTuTu v11
  5. GeekBench 6
  6. Specs
  7. Comments (7)

Review

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/Vulkan
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
  • Performs 2.4x better in floating-point computations
  • Higher GPU frequency (~65%)
  • Shows better (up to 37%) AnTuTu 11 score – 1626K vs 1186K
  • Has a smaller size transistor (4 versus 5 nm)
  • 21% higher CPU clock speed (3460 vs 2850 MHz)
  • Better instruction set architecture

Benchmarks

Performance tests in popular benchmarks
SoC:
Tensor G2
vs
A16 Bionic

AnTuTu 11

The AnTuTu Benchmark measures CPU, GPU, RAM, and I/O performance in different scenarios
Tensor G2
1186373
A16 Bionic +37%
1626008
CPU 384056 432740
GPU 278383 490354
Memory 220709 216774
UX 303255 486140
Total score 1186373 1626008
Samples [54 tests] [36 tests]
AnTuTu results from iOS and Android are not directly comparable! They won't affect NanoReview scores.
Submit your AnTuTu result

GeekBench 6

The GeekBench test shows raw single-threaded and multithreaded CPU performance
Single-Core Score
Tensor G2
1461
A16 Bionic +80%
2631
Multi-Core Score
Tensor G2
3867
A16 Bionic +71%
6602
Asset compression 149.9 MB/sec 234.4 MB/sec
HTML 5 Browser 99.9 pages/sec 155.2 pages/sec
PDF Renderer 110.2 Mpixels/sec 157.5 Mpixels/sec
Image detection 74.2 images/sec 149.7 images/sec
HDR 105.5 Mpixels/sec 202.6 Mpixels/sec
Background blur 11.7 images/sec 25.9 images/sec
Photo processing 35.1 images/sec 76.8 images/sec
Ray tracing 4.26 Mpixels/sec 6.74 Mpixels/sec
Samples 26 tests 24 tests
Compute Score (GPU)
Tensor G2
4715
A16 Bionic +385%
22851
Background blur 6.68 images/sec 39.5 images/sec
Face detection 3.96 images/sec 50.9 images/sec
Horizon detection 0.22 Gpixels/sec 0.73 Gpixels/sec
Edge detection 0.35 Gpixels/sec 1.05 Gpixels/sec
Gaussian blur 0.2 Gpixels/sec 1.22 Gpixels/sec
Feature matching 0.06 Gpixels/sec 0.29 Gpixels/sec
Stereo matching 11.5 Gpixels/sec 70.4 Gpixels/sec
Particle physics 972.6 FPS 2162.5 FPS
API Vulkan Metal
Samples 17 tests 12 tests
Compute results use different APIs (Metal vs Vulkan/OpenCL) and are not directly comparable!

3DMark

A cross-platform benchmark that assesses graphics performance in Vulkan (Metal)
3DMark Steel Nomad Light
Score 702 -
Stability 78% -
Graphics test 5 FPS -
3DMark Solar Bay
Score - 4266
Stability - 74%
Graphics test - 16 FPS
Section 1 - 20 FPS
Section 2 - 16 FPS
Section 3 - 12 FPS
3DMark Wild Life Extreme
Tensor G2
1821
A16 Bionic +83%
3335
Score 1821 3335
Stability 77% 71%
Graphics test 10 FPS 19 FPS

PCMark 3.0

Benchmark for evaluating overall system performance in everyday workloads
PCMark 3.0
Tensor G2
10994
A16 Bionic
n/a
Web score 7923 -
Video editing score 6434 -
Data manipulation score 11061 -
Photo editing score 18842 -
Writing score 15053 -
Phones tested 5 models -

Recent User Tests

The latest benchmark tests that have been submitted by users
Google Tensor G2
DateBenchmarkResult
πŸ“˜ 2026-09-09 -> Kimash333AnTuTu 111253847
πŸ“˜ 2026-09-08 (Kimash333)AnTuTu 111253847
πŸ“˜ 2026-09-02 -> nanamondAnTuTu 111196742
πŸ“˜ 2026-08-06 -> shu-AnTuTu 111126520
πŸ“˜ 2026-08-05 (shu-)AnTuTu 111126520
Add View all (89)
Apple A16 Bionic
DateBenchmarkResult
πŸ“˜ 2026-09-21 (Атомная Π±ΠΎΠΌΠ±Π°)AnTuTu 111772840
πŸ“˜ 2026-09-19 (Bear lover)AnTuTu 111714105
πŸ“˜ 2026-09-14 (ZUSEPRO)AnTuTu 111603687
πŸ“˜ 2026-08-31 (LORDroid)AnTuTu 111445126
πŸ“˜ 2026-08-16 (Ronaldo)AnTuTu 111626008
Add View all (62)

Specifications

Full list of technical specifications of Tensor G2 and A16 Bionic

CPU

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 ARMv8.4-A ARMv8.6-A
L1 cache - 256 KB
L2 cache - 16 MB
L3 cache 4 MB -
Process 5 nanometers 4 nanometers
Transistor count - 16 billion
TDP (Sustained Power Limit) 7 W 8 W
Manufacturing Samsung TSMC

Graphics

GPU name Mali-G710 MP7 Apple A16 GPU
Architecture Valhall 3rd gen Apple Bionic GPU
GPU frequency 848 MHz 1398 MHz
Pipelines 7 5
Shading units 64 128
Total shaders 448 640
FLOPS 759.8 Gigaflops 1789.4 Gigaflops
Vulkan version 1.3 -
OpenCL version 2.0 -

AI Accelerator

Neural processor (NPU) Next-gen Tensor Processing Unit Apple Neural Engine
NPU theoretical performance - 17 TOPS

Memory

Memory type LPDDR5 LPDDR5
Memory frequency 3200 MHz 3200 MHz
Bus 4x 16 Bit 4x 16 Bit
Max bandwidth 51.2 Gb/s 51.2 Gb/s
Max size 16 GB 6 GB

Multimedia (ISP)

Storage type UFS 3.1 NVMe
Max display resolution 3840 x 2160 2796 x 1290
Max camera resolution 1x 200MP, 2x 32MP 1x 48MP
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
- AAX
- AAX+
- AC-3
- AIFF
- CAF
- E-AC-3
- MP3
- MP4
- WAV

Connectivity

Modem Exynos 5300g -
4G support LTE Cat. 24 LTE Cat. 24
5G support Yes Yes
Download speed Up to 7350 Mbps Up to 7500 Mbps
Upload speed Up to 3670 Mbps Up to 3500 Mbps
Wi-Fi 6 6
Bluetooth 5.2 5.3
Navigation GPS, GLONASS, Beidou, Galileo, QZSS, NAVIC GPS, GLONASS, Beidou, Galileo, QZSS

Info

Announced October 2022 September 2022
Class Flagship Flagship
Model number GS201 (S5P9855) APL1W10
Successor - Google Tensor G5 - Apple A19 Pro

Cast your vote

So, which SoC would you choose?
277 (29.8%)
652 (70.2%)
Total votes: 929

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Comments

Please give your opinion on the comparison of A16 Bionic and Tensor G2, or ask any questions
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Avatar
Andruoid February 16, 2026 at 10:07 PM
Apple may have a faster chip but their software is so locked down. No real file manager and no AI, dispute the marketing. The Pixel tablet with the G2 can run a LLM at 6-7 T/s. Pretty damn good. GrapheneOS is also vastly more private than any stock Android or iOS device.
0 Reply
Avatar
Randy chan March 2, 2023 at 11:05 PM
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.
+10 Reply
Avatar
Dinervc January 13, 2023 at 01:23 AM
The Tensor G2 is basically a smarter version of the A12>G2
+6 Reply
Avatar
Praise.jr January 10, 2023 at 11:01 PM
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.
+4 Reply
Avatar
Dinervc January 13, 2023 at 01:19 AM
I am guessing in 2025… will Google finally beat the A15…
+19 Reply
Avatar
Randy chan March 2, 2023 at 10:58 PM
Dinervc, You're probably right, when it comes to phone chip sets, Apple is miles ahead of Google.
+1 Reply
Avatar
Randy December 24, 2022 at 01:57 AM
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.
+10 Reply
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