Nothing Phone (2a)
Geekbench AI Score
861
Single Precision Score
878
Half Precision Score
1727
Quantized Score
Geekbench AI 1.6.0 Corporate for Android AArch64
Result Information
| Upload Date | December 02 2025 05:56 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | MediaTek Dimensity 7200 Pro |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Nothing Phone (2a) |
| Model ID | Nothing A142 |
| Motherboard | Pacman |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3405 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 7.24 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
687
127.7 IPS |
|
|
Image Classification (HP)
|
100% |
701
130.4 IPS |
|
|
Image Classification (Q)
|
100% |
1292
240.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
659
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
648
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1286
20.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1317
1.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
1311
1.53 IPS |
|
|
Pose Estimation (Q)
|
84% |
3351
3.97 IPS |
|
|
Object Detection (SP)
|
98% |
642
51.1 IPS |
|
|
Object Detection (HP)
|
98% |
630
50.2 IPS |
|
|
Object Detection (Q)
|
83% |
1092
88.2 IPS |
|
|
Face Detection (SP)
|
100% |
1076
12.8 IPS |
|
|
Face Detection (HP)
|
100% |
1075
12.8 IPS |
|
|
Face Detection (Q)
|
95% |
2598
31.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
943
7.29 IPS |
|
|
Depth Estimation (HP)
|
99% |
1207
9.32 IPS |
|
|
Depth Estimation (Q)
|
64% |
2661
24.4 IPS |
|
|
Style Transfer (SP)
|
89% |
3210
4.17 IPS |
|
|
Style Transfer (HP)
|
89% |
3203
4.16 IPS |
|
|
Style Transfer (Q)
|
98% |
7225
9.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
606
22.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
594
21.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1707
63.3 IPS |
|
|
Text Classification (SP)
|
100% |
353
470.6 IPS |
|
|
Text Classification (HP)
|
99% |
353
470.6 IPS |
|
|
Text Classification (Q)
|
88% |
958
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
845
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
840
14.5 IPS |
|
|
Machine Translation (Q)
|
50% |
476
16.9 IPS |
