OUKITEL WP33 Pro
Geekbench AI Score
139
Single Precision Score
193
Half Precision Score
190
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 13 2025 09:36 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
94
17.5 IPS |
|
|
Image Classification (HP)
|
100% |
171
31.7 IPS |
|
|
Image Classification (Q)
|
99% |
149
27.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
124
2.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
216
3.50 IPS |
|
|
Image Segmentation (Q)
|
98% |
212
3.44 IPS |
|
|
Pose Estimation (SP)
|
100% |
87
0.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
104
0.12 IPS |
|
|
Pose Estimation (Q)
|
96% |
104
0.12 IPS |
|
|
Object Detection (SP)
|
100% |
75
5.96 IPS |
|
|
Object Detection (HP)
|
100% |
125
9.89 IPS |
|
|
Object Detection (Q)
|
83% |
116
9.37 IPS |
|
|
Face Detection (SP)
|
100% |
274
3.25 IPS |
|
|
Face Detection (HP)
|
100% |
389
4.62 IPS |
|
|
Face Detection (Q)
|
97% |
390
4.65 IPS |
|
|
Depth Estimation (SP)
|
100% |
167
1.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
218
1.68 IPS |
|
|
Depth Estimation (Q)
|
62% |
176
1.67 IPS |
|
|
Style Transfer (SP)
|
100% |
333
0.43 IPS |
|
|
Style Transfer (HP)
|
100% |
470
0.60 IPS |
|
|
Style Transfer (Q)
|
98% |
468
0.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
85
3.15 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
133
4.92 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
132
4.90 IPS |
|
|
Text Classification (SP)
|
100% |
131
174.3 IPS |
|
|
Text Classification (HP)
|
100% |
133
177.5 IPS |
|
|
Text Classification (Q)
|
91% |
240
322.9 IPS |
|
|
Machine Translation (SP)
|
100% |
214
3.68 IPS |
|
|
Machine Translation (HP)
|
100% |
213
3.67 IPS |
|
|
Machine Translation (Q)
|
57% |
165
4.03 IPS |
