DOOGEE U10
Geekbench AI Score
165
Single Precision Score
168
Half Precision Score
190
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 26 2025 06:32 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | DOOGEE U10 |
| Model ID | DOOGEE U10 |
| Motherboard | rk30sdk |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 4 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 4 Cores @ 2.02 GHz |
| Memory Information | |
|---|---|
| Size | 3.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
86
16.0 IPS |
|
|
Image Classification (HP)
|
100% |
87
16.1 IPS |
|
|
Image Classification (Q)
|
100% |
130
24.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
115
1.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
112
1.82 IPS |
|
|
Image Segmentation (Q)
|
98% |
186
3.02 IPS |
|
|
Pose Estimation (SP)
|
100% |
414
0.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
405
0.47 IPS |
|
|
Pose Estimation (Q)
|
84% |
271
0.32 IPS |
|
|
Object Detection (SP)
|
100% |
82
6.50 IPS |
|
|
Object Detection (HP)
|
100% |
83
6.60 IPS |
|
|
Object Detection (Q)
|
83% |
125
10.1 IPS |
|
|
Face Detection (SP)
|
100% |
206
2.45 IPS |
|
|
Face Detection (HP)
|
100% |
205
2.44 IPS |
|
|
Face Detection (Q)
|
95% |
335
3.99 IPS |
|
|
Depth Estimation (SP)
|
100% |
194
1.49 IPS |
|
|
Depth Estimation (HP)
|
99% |
255
1.97 IPS |
|
|
Depth Estimation (Q)
|
64% |
270
2.47 IPS |
|
|
Style Transfer (SP)
|
89% |
642
0.83 IPS |
|
|
Style Transfer (HP)
|
89% |
642
0.83 IPS |
|
|
Style Transfer (Q)
|
98% |
638
0.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
142
5.25 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
141
5.22 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
154
5.71 IPS |
|
|
Text Classification (SP)
|
100% |
90
119.6 IPS |
|
|
Text Classification (HP)
|
100% |
88
118.1 IPS |
|
|
Text Classification (Q)
|
88% |
119
160.8 IPS |
|
|
Machine Translation (SP)
|
100% |
140
2.41 IPS |
|
|
Machine Translation (HP)
|
100% |
138
2.38 IPS |
|
|
Machine Translation (Q)
|
50% |
71
2.51 IPS |
