Google Tensor vs Apple A16 Bionic

SoC Comparison Result

Below are the results of a comparison of Google Tensor and Apple A16 Bionic mobile processors based on key performance characteristics, as well as power consumption and much more.

Advantages

  • Higher Technology: 4 nm (5 nm vs 4 nm)
  • Higher Frequency: 3460 MHz (2800 MHz vs 3460 MHz)
  • Newer Launch Date: September 2022 (October 2021 vs September 2022)

Basic

Google
Label Name
Apple
October 2021
Launch Date
September 2022
SmartPhone Flagship
Platform
SmartPhone Flagship
Samsung
Manufacturing
TSMC
S5E9845
Model Name
APL1W10
2x 2.8 GHz – Cortex-X1 2x 2.25 GHz – Cortex A76 4x 1.8 GHz – Cortex A55
Architecture
2x 3.46 GHz – Everest 4x 2.02 GHz – Sawtooth
8
Cores
6
5 nm
Technology
4 nm
2800 MHz
Frequency
3460 MHz
-
Transistor count
16

GPU Specifications

Mali-G78 MP20
GPU name
Apple A16 GPU
848 MHz
GPU frequency
1398 MHz
2.1709 TFLOPS
FLOPS
1.7894 TFLOPS
64
Shading units
128
20
Execution units
5
2.0
OpenCL version
-
1.3
Vulkan version
-
3840 x 2160
Max display resolution
2796 x 1290
12
DirectX version
-

Connectivity

LTE Cat. 24
4G support
LTE Cat. 24
Yes
5G support
Yes
5.2
Bluetooth
5.3
6
Wi-Fi
6
GPS, GLONASS, Beidou, Galileo, QZSS
Navigation
GPS, GLONASS, Beidou, Galileo, QZSS

Memory Specifications

LPDDR5
Memory type
LPDDR5
3200 MHz
Memory frequency
3200 MHz
4x 16 Bit
Memory Bus
4x 16 Bit
51.2 Gbit/s
Max Bandwidth
51.2 Gbit/s

Miscellaneous

Tensor Processing Unit
Neural processor (NPU)
Neural Engine
3 MB
L2 Cache
16 MB
AAC, AIFF, CAF, MP3, MP4, WAV
Audio codecs
AAC, AIFF, CAF, MP3, MP4, WAV, AC-3, E-AC-3, AAX, AAX+
1x 200MP, 2x 32MP
Max camera resolution
1x 48MP
UFS 3.1
Storage type
NVMe
4K at 60FPS
Video capture
4K at 60FPS
H.264, H.265, AV1, VP9
Video codecs
H.264, H.265, VP8, VP9, Motion JPEG
4K at 60FPS
Video playback
4K at 60FPS
5.6 W
TDP
8 W
ARMv8.2-A
Instruction set
ARMv9-A

Benchmarks

Geekbench 6 Single Core
Tensor
1319
A16 Bionic
2562 +94%
Geekbench 6 Multi Core
Tensor
3234
A16 Bionic
6685 +107%
Geekbench 5 Single Core
Tensor
584
A16 Bionic
1736 +197%
Geekbench 5 Multi Core
Tensor
1783
A16 Bionic
4975 +179%
AnTuTu 10
Tensor
813782
A16 Bionic
1421181 +75%
FP32 (float)
Tensor
2213 +24%
A16 Bionic
1788