Nothing Phone (2)
Geekbench AI Score
1289
Single Precision Score
1280
Half Precision Score
2941
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | JeuxDangeHeureux |
| Upload Date | December 14 2024 04:32 PM |
| Views | 8 |
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% |
611
113.7 IPS |
|
|
Image Classification (HP)
|
100% |
592
110.1 IPS |
|
|
Image Classification (Q)
|
100% |
2172
404.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
756
12.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
756
12.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2401
39.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2837
3.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
2751
3.21 IPS |
|
|
Pose Estimation (Q)
|
84% |
6155
7.30 IPS |
|
|
Object Detection (SP)
|
100% |
582
46.2 IPS |
|
|
Object Detection (HP)
|
100% |
590
46.8 IPS |
|
|
Object Detection (Q)
|
83% |
2144
173.2 IPS |
|
|
Face Detection (SP)
|
100% |
1923
22.8 IPS |
|
|
Face Detection (HP)
|
100% |
1923
22.8 IPS |
|
|
Face Detection (Q)
|
95% |
3980
47.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2566
19.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2266
17.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
5220
47.8 IPS |
|
|
Style Transfer (SP)
|
89% |
4022
5.22 IPS |
|
|
Style Transfer (HP)
|
89% |
4545
5.90 IPS |
|
|
Style Transfer (Q)
|
98% |
13301
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1462
54.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1468
54.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3343
123.9 IPS |
|
|
Text Classification (SP)
|
100% |
616
821.7 IPS |
|
|
Text Classification (HP)
|
100% |
614
820.1 IPS |
|
|
Text Classification (Q)
|
88% |
1118
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
932
16.0 IPS |
|
|
Machine Translation (HP)
|
100% |
912
15.7 IPS |
|
|
Machine Translation (Q)
|
50% |
682
24.2 IPS |
