OUKITEL WP23 Plus
Geekbench AI Score
351
Single Precision Score
347
Half Precision Score
625
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 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% |
179
33.3 IPS |
|
|
Image Classification (HP)
|
100% |
177
32.9 IPS |
|
|
Image Classification (Q)
|
100% |
460
85.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
219
3.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
218
3.53 IPS |
|
|
Image Segmentation (Q)
|
98% |
551
8.95 IPS |
|
|
Pose Estimation (SP)
|
100% |
737
0.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
787
0.92 IPS |
|
|
Pose Estimation (Q)
|
84% |
1263
1.50 IPS |
|
|
Object Detection (SP)
|
100% |
183
14.5 IPS |
|
|
Object Detection (HP)
|
100% |
174
13.8 IPS |
|
|
Object Detection (Q)
|
83% |
444
35.9 IPS |
|
|
Face Detection (SP)
|
100% |
461
5.48 IPS |
|
|
Face Detection (HP)
|
100% |
450
5.34 IPS |
|
|
Face Detection (Q)
|
95% |
1127
13.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
558
4.30 IPS |
|
|
Depth Estimation (HP)
|
99% |
609
4.69 IPS |
|
|
Depth Estimation (Q)
|
64% |
1172
10.7 IPS |
|
|
Style Transfer (SP)
|
89% |
1526
1.98 IPS |
|
|
Style Transfer (HP)
|
89% |
1395
1.81 IPS |
|
|
Style Transfer (Q)
|
98% |
3062
3.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
303
11.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
306
11.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
674
25.0 IPS |
|
|
Text Classification (SP)
|
100% |
172
229.4 IPS |
|
|
Text Classification (HP)
|
100% |
171
228.3 IPS |
|
|
Text Classification (Q)
|
88% |
200
270.2 IPS |
|
|
Machine Translation (SP)
|
100% |
264
4.56 IPS |
|
|
Machine Translation (HP)
|
100% |
245
4.23 IPS |
|
|
Machine Translation (Q)
|
50% |
119
4.21 IPS |
