OUKITEL WP23 Plus
Geekbench AI Score
129
Single Precision Score
139
Half Precision Score
151
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 22 2025 04:15 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
81
15.0 IPS |
|
|
Image Classification (HP)
|
100% |
119
22.1 IPS |
|
|
Image Classification (Q)
|
99% |
102
19.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
106
1.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
159
2.57 IPS |
|
|
Image Segmentation (Q)
|
98% |
145
2.35 IPS |
|
|
Pose Estimation (SP)
|
100% |
470
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
258
0.30 IPS |
|
|
Pose Estimation (Q)
|
96% |
431
0.51 IPS |
|
|
Object Detection (SP)
|
100% |
40
3.14 IPS |
|
|
Object Detection (HP)
|
100% |
40
3.15 IPS |
|
|
Object Detection (Q)
|
87% |
79
6.31 IPS |
|
|
Face Detection (SP)
|
100% |
267
3.17 IPS |
|
|
Face Detection (HP)
|
100% |
318
3.78 IPS |
|
|
Face Detection (Q)
|
97% |
201
2.40 IPS |
|
|
Depth Estimation (SP)
|
100% |
364
2.80 IPS |
|
|
Depth Estimation (HP)
|
98% |
288
2.22 IPS |
|
|
Depth Estimation (Q)
|
66% |
340
3.00 IPS |
|
|
Style Transfer (SP)
|
100% |
327
0.42 IPS |
|
|
Style Transfer (HP)
|
100% |
179
0.23 IPS |
|
|
Style Transfer (Q)
|
98% |
585
0.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
206
7.61 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
148
5.48 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
211
7.83 IPS |
|
|
Text Classification (SP)
|
100% |
18
23.5 IPS |
|
|
Text Classification (HP)
|
100% |
57
75.6 IPS |
|
|
Text Classification (Q)
|
93% |
30
39.8 IPS |
|
|
Machine Translation (SP)
|
100% |
70
1.20 IPS |
|
|
Machine Translation (HP)
|
100% |
101
1.74 IPS |
|
|
Machine Translation (Q)
|
55% |
49
1.29 IPS |
