Nothing Phone (2)
Geekbench AI Score
1230
Single Precision Score
2070
Half Precision Score
1861
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 11 2025 11:28 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
930
173.0 IPS |
|
|
Image Classification (HP)
|
100% |
1366
254.0 IPS |
|
|
Image Classification (Q)
|
99% |
1196
223.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1655
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2815
45.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2327
37.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5883
6.86 IPS |
|
|
Pose Estimation (HP)
|
99% |
10754
12.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
10351
12.1 IPS |
|
|
Object Detection (SP)
|
100% |
654
51.8 IPS |
|
|
Object Detection (HP)
|
99% |
1122
89.0 IPS |
|
|
Object Detection (Q)
|
85% |
1027
82.6 IPS |
|
|
Face Detection (SP)
|
100% |
2550
30.3 IPS |
|
|
Face Detection (HP)
|
100% |
4794
57.0 IPS |
|
|
Face Detection (Q)
|
97% |
3925
46.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2879
22.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
5017
38.8 IPS |
|
|
Depth Estimation (Q)
|
65% |
4493
40.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6867
8.83 IPS |
|
|
Style Transfer (HP)
|
100% |
13885
17.8 IPS |
|
|
Style Transfer (Q)
|
98% |
14048
18.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1258
46.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2666
98.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2602
96.4 IPS |
|
|
Text Classification (SP)
|
35% |
42
409.1 IPS |
|
|
Text Classification (HP)
|
35% |
59
535.7 IPS |
|
|
Text Classification (Q)
|
35% |
59
532.9 IPS |
|
|
Machine Translation (SP)
|
100% |
505
8.70 IPS |
|
|
Machine Translation (HP)
|
97% |
593
10.3 IPS |
|
|
Machine Translation (Q)
|
64% |
445
9.14 IPS |
