Nothing Phone (2)
Geekbench AI Score
268
Single Precision Score
267
Half Precision Score
652
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| Upload Date | March 05 2026 09:02 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 8+ Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Nothing Phone (2) |
| Model ID | Nothing AIN065 |
| 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 | 11.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
156
29.0 IPS |
|
|
Image Classification (HP)
|
100% |
155
28.9 IPS |
|
|
Image Classification (Q)
|
99% |
451
84.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
203
3.30 IPS |
|
|
Image Segmentation (HP)
|
100% |
202
3.28 IPS |
|
|
Image Segmentation (Q)
|
98% |
468
7.60 IPS |
|
|
Pose Estimation (SP)
|
100% |
279
0.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
274
0.32 IPS |
|
|
Pose Estimation (Q)
|
98% |
1106
1.30 IPS |
|
|
Object Detection (SP)
|
100% |
155
12.3 IPS |
|
|
Object Detection (HP)
|
100% |
155
12.3 IPS |
|
|
Object Detection (Q)
|
87% |
488
39.1 IPS |
|
|
Face Detection (SP)
|
100% |
430
5.11 IPS |
|
|
Face Detection (HP)
|
100% |
435
5.17 IPS |
|
|
Face Detection (Q)
|
97% |
1020
12.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
354
2.73 IPS |
|
|
Depth Estimation (HP)
|
99% |
353
2.72 IPS |
|
|
Depth Estimation (Q)
|
64% |
879
7.97 IPS |
|
|
Style Transfer (SP)
|
100% |
623
0.80 IPS |
|
|
Style Transfer (HP)
|
100% |
621
0.80 IPS |
|
|
Style Transfer (Q)
|
98% |
1570
2.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
171
6.32 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
171
6.31 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
628
23.3 IPS |
|
|
Text Classification (SP)
|
100% |
226
301.6 IPS |
|
|
Text Classification (HP)
|
100% |
225
300.7 IPS |
|
|
Text Classification (Q)
|
91% |
409
549.4 IPS |
|
|
Machine Translation (SP)
|
100% |
382
6.58 IPS |
|
|
Machine Translation (HP)
|
100% |
384
6.62 IPS |
|
|
Machine Translation (Q)
|
57% |
338
8.27 IPS |
