OUKITEL WP23 Plus
Geekbench AI Score
356
Single Precision Score
372
Half Precision Score
651
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 22 2025 04:32 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | OUKITEL WP23 Plus |
| Model ID | OUKITEL WP23 Plus |
| Motherboard | ums9230_6h10 |
| Governor | uscfreq |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| 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 | 7.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
180
33.6 IPS |
|
|
Image Classification (HP)
|
100% |
184
34.3 IPS |
|
|
Image Classification (Q)
|
100% |
473
87.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
227
3.67 IPS |
|
|
Image Segmentation (HP)
|
100% |
232
3.76 IPS |
|
|
Image Segmentation (Q)
|
98% |
591
9.61 IPS |
|
|
Pose Estimation (SP)
|
100% |
815
0.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
840
0.98 IPS |
|
|
Pose Estimation (Q)
|
84% |
1350
1.60 IPS |
|
|
Object Detection (SP)
|
100% |
199
15.8 IPS |
|
|
Object Detection (HP)
|
100% |
199
15.8 IPS |
|
|
Object Detection (Q)
|
83% |
461
37.3 IPS |
|
|
Face Detection (SP)
|
100% |
472
5.61 IPS |
|
|
Face Detection (HP)
|
100% |
471
5.60 IPS |
|
|
Face Detection (Q)
|
95% |
1164
13.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
398
3.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
588
4.53 IPS |
|
|
Depth Estimation (Q)
|
64% |
1224
11.2 IPS |
|
|
Style Transfer (SP)
|
89% |
1645
2.14 IPS |
|
|
Style Transfer (HP)
|
89% |
1644
2.13 IPS |
|
|
Style Transfer (Q)
|
98% |
3163
4.08 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
332
12.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
329
12.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
702
26.0 IPS |
|
|
Text Classification (SP)
|
100% |
174
232.4 IPS |
|
|
Text Classification (HP)
|
100% |
174
232.7 IPS |
|
|
Text Classification (Q)
|
88% |
202
272.2 IPS |
|
|
Machine Translation (SP)
|
100% |
278
4.79 IPS |
|
|
Machine Translation (HP)
|
100% |
275
4.73 IPS |
|
|
Machine Translation (Q)
|
50% |
124
4.39 IPS |
