OUKITEL WP23 Pro
Geekbench AI Score
355
Single Precision Score
360
Half Precision Score
653
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 20 2025 10:54 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM Unisoc |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | OUKITEL WP23 Pro |
| Model ID | OUKITEL WP23 Pro |
| Motherboard | ums9230_1h10 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Unisoc |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.61 GHz |
| Cluster 1 | 8 Cores @ 1.61 GHz |
| Memory Information | |
|---|---|
| Size | 7.41 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
182
33.8 IPS |
|
|
Image Classification (HP)
|
100% |
184
34.3 IPS |
|
|
Image Classification (Q)
|
100% |
472
87.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
227
3.68 IPS |
|
|
Image Segmentation (HP)
|
100% |
223
3.61 IPS |
|
|
Image Segmentation (Q)
|
98% |
593
9.64 IPS |
|
|
Pose Estimation (SP)
|
100% |
805
0.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
792
0.92 IPS |
|
|
Pose Estimation (Q)
|
84% |
1282
1.52 IPS |
|
|
Object Detection (SP)
|
100% |
188
14.9 IPS |
|
|
Object Detection (HP)
|
100% |
185
14.7 IPS |
|
|
Object Detection (Q)
|
83% |
461
37.2 IPS |
|
|
Face Detection (SP)
|
100% |
472
5.60 IPS |
|
|
Face Detection (HP)
|
100% |
468
5.56 IPS |
|
|
Face Detection (Q)
|
95% |
1138
13.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
463
3.57 IPS |
|
|
Depth Estimation (HP)
|
99% |
552
4.25 IPS |
|
|
Depth Estimation (Q)
|
64% |
1176
10.8 IPS |
|
|
Style Transfer (SP)
|
89% |
1512
1.96 IPS |
|
|
Style Transfer (HP)
|
89% |
1515
1.97 IPS |
|
|
Style Transfer (Q)
|
98% |
2994
3.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
331
12.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
333
12.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
698
25.9 IPS |
|
|
Text Classification (SP)
|
100% |
173
230.8 IPS |
|
|
Text Classification (HP)
|
100% |
173
231.0 IPS |
|
|
Text Classification (Q)
|
88% |
234
315.7 IPS |
|
|
Machine Translation (SP)
|
100% |
269
4.63 IPS |
|
|
Machine Translation (HP)
|
100% |
270
4.65 IPS |
|
|
Machine Translation (Q)
|
50% |
132
4.68 IPS |
