Nothing Phone (2)
Geekbench AI Score
229
Single Precision Score
230
Half Precision Score
545
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 11 2025 11:45 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 8+ Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Nothing Phone (2) |
| Model ID | Nothing A065 |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 7.10 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
122
22.7 IPS |
|
|
Image Classification (HP)
|
100% |
123
22.8 IPS |
|
|
Image Classification (Q)
|
99% |
319
59.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
160
2.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
162
2.62 IPS |
|
|
Image Segmentation (Q)
|
98% |
351
5.70 IPS |
|
|
Pose Estimation (SP)
|
100% |
246
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
247
0.29 IPS |
|
|
Pose Estimation (Q)
|
98% |
948
1.11 IPS |
|
|
Object Detection (SP)
|
100% |
136
10.8 IPS |
|
|
Object Detection (HP)
|
100% |
136
10.8 IPS |
|
|
Object Detection (Q)
|
87% |
392
31.4 IPS |
|
|
Face Detection (SP)
|
100% |
358
4.26 IPS |
|
|
Face Detection (HP)
|
100% |
362
4.30 IPS |
|
|
Face Detection (Q)
|
97% |
804
9.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
309
2.38 IPS |
|
|
Depth Estimation (HP)
|
99% |
312
2.40 IPS |
|
|
Depth Estimation (Q)
|
64% |
770
6.99 IPS |
|
|
Style Transfer (SP)
|
100% |
549
0.71 IPS |
|
|
Style Transfer (HP)
|
100% |
549
0.71 IPS |
|
|
Style Transfer (Q)
|
98% |
1517
1.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
155
5.72 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
155
5.72 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
553
20.5 IPS |
|
|
Text Classification (SP)
|
100% |
201
268.1 IPS |
|
|
Text Classification (HP)
|
100% |
201
268.6 IPS |
|
|
Text Classification (Q)
|
91% |
357
479.9 IPS |
|
|
Machine Translation (SP)
|
100% |
334
5.76 IPS |
|
|
Machine Translation (HP)
|
100% |
332
5.71 IPS |
|
|
Machine Translation (Q)
|
57% |
303
7.41 IPS |
