wheatek WP19
Geekbench AI Score
199
Single Precision Score
255
Half Precision Score
253
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | vikarti |
| Upload Date | September 14 2024 06:48 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM MT6785V/CD |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | wheatek WP19 |
| Model ID | wheatek WP19 |
| Motherboard | WP19 |
| CPU Information | |
|---|---|
| Name | ARM MT6785V/CD |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.05 GHz |
| Memory Information | |
|---|---|
| Size | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
158
29.4 IPS |
|
|
Image Classification (HP)
|
100% |
213
39.6 IPS |
|
|
Image Classification (Q)
|
99% |
202
37.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
220
3.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
344
5.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
333
5.42 IPS |
|
|
Pose Estimation (SP)
|
100% |
104
0.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
141
0.16 IPS |
|
|
Pose Estimation (Q)
|
96% |
140
0.16 IPS |
|
|
Object Detection (SP)
|
100% |
132
10.5 IPS |
|
|
Object Detection (HP)
|
100% |
184
14.6 IPS |
|
|
Object Detection (Q)
|
83% |
182
14.7 IPS |
|
|
Face Detection (SP)
|
100% |
476
5.65 IPS |
|
|
Face Detection (HP)
|
100% |
643
7.65 IPS |
|
|
Face Detection (Q)
|
97% |
599
7.14 IPS |
|
|
Depth Estimation (SP)
|
100% |
257
1.98 IPS |
|
|
Depth Estimation (HP)
|
99% |
303
2.34 IPS |
|
|
Depth Estimation (Q)
|
62% |
246
2.33 IPS |
|
|
Style Transfer (SP)
|
100% |
455
0.58 IPS |
|
|
Style Transfer (HP)
|
100% |
668
0.86 IPS |
|
|
Style Transfer (Q)
|
98% |
663
0.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
131
4.83 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
178
6.58 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
175
6.48 IPS |
|
|
Text Classification (SP)
|
100% |
139
184.9 IPS |
|
|
Text Classification (HP)
|
100% |
141
188.0 IPS |
|
|
Text Classification (Q)
|
91% |
230
309.2 IPS |
|
|
Machine Translation (SP)
|
100% |
210
3.62 IPS |
|
|
Machine Translation (HP)
|
100% |
194
3.34 IPS |
|
|
Machine Translation (Q)
|
57% |
162
3.95 IPS |
