Nothing Phone (2)
Geekbench AI Score
1191
Single Precision Score
1188
Half Precision Score
2705
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 10 2024 01:00 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8+ Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
565
105.0 IPS |
|
|
Image Classification (HP)
|
100% |
559
104.0 IPS |
|
|
Image Classification (Q)
|
100% |
2109
392.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
748
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
746
12.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2380
38.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2582
3.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
2592
3.02 IPS |
|
|
Pose Estimation (Q)
|
84% |
5772
6.85 IPS |
|
|
Object Detection (SP)
|
100% |
500
39.7 IPS |
|
|
Object Detection (HP)
|
100% |
500
39.7 IPS |
|
|
Object Detection (Q)
|
83% |
1742
140.7 IPS |
|
|
Face Detection (SP)
|
100% |
1738
20.6 IPS |
|
|
Face Detection (HP)
|
100% |
1740
20.7 IPS |
|
|
Face Detection (Q)
|
95% |
4103
49.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2325
17.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2333
18.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
4477
41.0 IPS |
|
|
Style Transfer (SP)
|
89% |
4154
5.39 IPS |
|
|
Style Transfer (HP)
|
89% |
4187
5.43 IPS |
|
|
Style Transfer (Q)
|
98% |
12120
15.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1297
47.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1295
47.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2923
108.3 IPS |
|
|
Text Classification (SP)
|
100% |
559
745.8 IPS |
|
|
Text Classification (HP)
|
100% |
557
743.5 IPS |
|
|
Text Classification (Q)
|
88% |
1015
1.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
865
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
851
14.7 IPS |
|
|
Machine Translation (Q)
|
50% |
630
22.3 IPS |
