wheatek WP19
Geekbench AI Score
410
Single Precision Score
411
Half Precision Score
780
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | vikarti |
| Upload Date | September 14 2024 06:18 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
197
36.7 IPS |
|
|
Image Classification (HP)
|
100% |
200
37.2 IPS |
|
|
Image Classification (Q)
|
100% |
541
100.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
253
4.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
249
4.04 IPS |
|
|
Image Segmentation (Q)
|
98% |
617
10.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
849
0.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
871
1.02 IPS |
|
|
Pose Estimation (Q)
|
84% |
1216
1.44 IPS |
|
|
Object Detection (SP)
|
100% |
169
13.4 IPS |
|
|
Object Detection (HP)
|
100% |
172
13.7 IPS |
|
|
Object Detection (Q)
|
83% |
518
41.8 IPS |
|
|
Face Detection (SP)
|
100% |
599
7.12 IPS |
|
|
Face Detection (HP)
|
100% |
599
7.12 IPS |
|
|
Face Detection (Q)
|
95% |
1225
14.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
671
5.17 IPS |
|
|
Depth Estimation (HP)
|
99% |
694
5.35 IPS |
|
|
Depth Estimation (Q)
|
64% |
1224
11.2 IPS |
|
|
Style Transfer (SP)
|
89% |
1377
1.79 IPS |
|
|
Style Transfer (HP)
|
89% |
1412
1.83 IPS |
|
|
Style Transfer (Q)
|
98% |
3176
4.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
382
14.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
386
14.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
655
24.3 IPS |
|
|
Text Classification (SP)
|
100% |
235
313.3 IPS |
|
|
Text Classification (HP)
|
100% |
231
308.4 IPS |
|
|
Text Classification (Q)
|
88% |
440
593.1 IPS |
|
|
Machine Translation (SP)
|
100% |
381
6.57 IPS |
|
|
Machine Translation (HP)
|
100% |
358
6.17 IPS |
|
|
Machine Translation (Q)
|
50% |
290
10.3 IPS |
