Nothing Phone (2)
Geekbench AI Score
1315
Single Precision Score
1305
Half Precision Score
2719
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 16 2025 03:54 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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 | 11.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
619
115.1 IPS |
|
|
Image Classification (HP)
|
100% |
619
115.0 IPS |
|
|
Image Classification (Q)
|
100% |
2252
418.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
780
12.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
777
12.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2443
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2742
3.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
2646
3.09 IPS |
|
|
Pose Estimation (Q)
|
84% |
6047
7.17 IPS |
|
|
Object Detection (SP)
|
100% |
559
44.3 IPS |
|
|
Object Detection (HP)
|
100% |
572
45.4 IPS |
|
|
Object Detection (Q)
|
83% |
2219
179.3 IPS |
|
|
Face Detection (SP)
|
100% |
1951
23.2 IPS |
|
|
Face Detection (HP)
|
100% |
1911
22.7 IPS |
|
|
Face Detection (Q)
|
95% |
4827
57.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2498
19.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2487
19.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
5138
47.1 IPS |
|
|
Style Transfer (SP)
|
89% |
4382
5.69 IPS |
|
|
Style Transfer (HP)
|
89% |
4366
5.67 IPS |
|
|
Style Transfer (Q)
|
98% |
12999
16.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1436
53.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1429
52.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3406
126.2 IPS |
|
|
Text Classification (SP)
|
100% |
665
887.6 IPS |
|
|
Text Classification (HP)
|
100% |
668
892.1 IPS |
|
|
Text Classification (Q)
|
88% |
379
510.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1032
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
994
17.1 IPS |
|
|
Machine Translation (Q)
|
50% |
721
25.6 IPS |
