OUKITEL WP33 Pro
Geekbench AI Score
217
Single Precision Score
292
Half Precision Score
185
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 13 2025 09:53 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | OUKITEL WP33 Pro |
| Model ID | OUKITEL WP33 Pro |
| Motherboard | k6835v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
124
23.0 IPS |
|
|
Image Classification (HP)
|
100% |
408
75.8 IPS |
|
|
Image Classification (Q)
|
97% |
61
11.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
237
3.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
133
2.16 IPS |
|
|
Image Segmentation (Q)
|
98% |
71
1.15 IPS |
|
|
Pose Estimation (SP)
|
100% |
833
0.97 IPS |
|
|
Pose Estimation (HP)
|
98% |
1949
2.28 IPS |
|
|
Pose Estimation (Q)
|
70% |
1072
1.37 IPS |
|
|
Object Detection (SP)
|
100% |
142
11.3 IPS |
|
|
Object Detection (HP)
|
100% |
96
7.60 IPS |
|
|
Object Detection (Q)
|
80% |
73
5.96 IPS |
|
|
Face Detection (SP)
|
28% |
42
7.76 IPS |
|
|
Face Detection (HP)
|
100% |
249
2.96 IPS |
|
|
Face Detection (Q)
|
97% |
109
1.30 IPS |
|
|
Depth Estimation (SP)
|
100% |
355
2.73 IPS |
|
|
Depth Estimation (HP)
|
99% |
202
1.56 IPS |
|
|
Depth Estimation (Q)
|
57% |
225
2.45 IPS |
|
|
Style Transfer (SP)
|
100% |
677
0.87 IPS |
|
|
Style Transfer (HP)
|
100% |
341
0.44 IPS |
|
|
Style Transfer (Q)
|
98% |
1611
2.08 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
343
12.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
806
29.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
416
15.4 IPS |
|
|
Text Classification (SP)
|
100% |
88
116.8 IPS |
|
|
Text Classification (HP)
|
100% |
153
204.8 IPS |
|
|
Text Classification (Q)
|
93% |
86
116.0 IPS |
|
|
Machine Translation (SP)
|
100% |
219
3.76 IPS |
|
|
Machine Translation (HP)
|
100% |
216
3.72 IPS |
|
|
Machine Translation (Q)
|
55% |
103
2.72 IPS |
