Apple M1 iPad
Apple M1 iPad vs Google Tensor G2
SoC Comparison Result
Below are the results of a comparison of the characteristics and performance of the Apple M1 iPad and Google Tensor G2 mobile processors. This comparison will help you determine which one best suits your needs.
Basic
Label Name
Apple
Google
Launch Date
November 2020
October 2022
Platform
SmartPhone Flagship
SmartPhone Flagship
Manufacturing
TSMC
Samsung
Model Name
APL1102
Tensor G2
Architecture
4x 2.1 GHz – Firestorm4x 3.2 GHz – Icestorm
2x 2.85 GHz – Cortex-X1
2x 2.35 GHz – Cortex-A78
4x 1.8 GHz – Cortex-A55
Cores
8
8
Technology
5 nm
5 nm
Frequency
3200 MHz
2850 MHz
Instruction set
-
ARMv8.4-A
GPU Specifications
GPU name
Apple M1 GPU
Mali-G710 MP7
GPU frequency
1278 MHz
850 MHz
Max display resolution
-
3840 x 2160
FLOPS
2.617 TFLOPS
1.1424 TFLOPS
Execution units
-
7
Shading units
-
96
Connectivity
4G support
-
LTE Cat. 24
5G support
-
Yes
Bluetooth
-
5.2
Wi-Fi
-
6
Navigation
-
GPS, GLONASS, Beidou, Galileo, QZSS, NAVIC
Memory Specifications
Memory type
-
LPDDR5
Memory frequency
4266 MHz
3200 MHz
Memory Bus
4x 16 Bit
4x 16 Bit
Max Bandwidth
68.25 Gbit/s
51.2 Gbit/s
Miscellaneous
L2 Cache
12 MB
-
Audio codecs
-
AAC, AIFF, CAF, MP3, MP4, WAV
Max camera resolution
-
1x 200MP, 2x 32MP
Storage type
-
UFS 3.1
Video codecs
-
H.264, H.265, AV1, VP9
Video playback
-
4K at 60FPS
Video capture
-
4K at 60FPS
Neural processor (NPU)
-
Next-gen Tensor Processing Unit
TDP
14 W
7 W
Advantages
Apple M1 iPad
- Higher Frequency: 3200 MHz (3200 MHz vs 2850 MHz)
- Higher Max Bandwidth: 68.25 Gbit/s (68.25 Gbit/s vs 51.2 Gbit/s)
Tensor G2
- Newer Launch Date: October 2022 (November 2020 vs October 2022)
Geekbench 6
Single Core
Apple M1 iPad
+95%
2319
Tensor G2
1188
Multi Core
Apple M1 iPad
+144%
8478
Tensor G2
3468
Geekbench 5
Single Core
Apple M1 iPad
+188%
1683
Tensor G2
584
Multi Core
Apple M1 iPad
+301%
7150
Tensor G2
1783
FP32 (float)
Apple M1 iPad
+143%
2696
Tensor G2
1108
SiliconCat Rating
9
Ranks 9 among all SOC on our website
43
Ranks 43 among all SOC on our website
Tensor G2
