DOOGEE V40 Pro
Geekbench AI Score
273
Single Precision Score
315
Half Precision Score
338
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 07 2024 06:33 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | DOOGEE V40 Pro |
| Model ID | DOOGEE V40 Pro |
| Motherboard | ZN138P |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.50 GHz |
| Memory Information | |
|---|---|
| Size | 15.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
180
33.5 IPS |
|
|
Image Classification (HP)
|
100% |
232
43.2 IPS |
|
|
Image Classification (Q)
|
99% |
184
34.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
384
6.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
434
7.03 IPS |
|
|
Image Segmentation (Q)
|
98% |
431
7.00 IPS |
|
|
Pose Estimation (SP)
|
100% |
197
0.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
253
0.30 IPS |
|
|
Pose Estimation (Q)
|
96% |
252
0.30 IPS |
|
|
Object Detection (SP)
|
100% |
154
12.2 IPS |
|
|
Object Detection (HP)
|
100% |
195
15.5 IPS |
|
|
Object Detection (Q)
|
83% |
218
17.6 IPS |
|
|
Face Detection (SP)
|
100% |
675
8.03 IPS |
|
|
Face Detection (HP)
|
100% |
747
8.87 IPS |
|
|
Face Detection (Q)
|
97% |
726
8.66 IPS |
|
|
Depth Estimation (SP)
|
100% |
381
2.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
474
3.65 IPS |
|
|
Depth Estimation (Q)
|
62% |
385
3.65 IPS |
|
|
Style Transfer (SP)
|
100% |
998
1.28 IPS |
|
|
Style Transfer (HP)
|
100% |
1180
1.52 IPS |
|
|
Style Transfer (Q)
|
98% |
1176
1.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
202
7.44 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
227
8.38 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
221
8.19 IPS |
|
|
Text Classification (SP)
|
100% |
114
151.9 IPS |
|
|
Text Classification (HP)
|
100% |
113
150.8 IPS |
|
|
Text Classification (Q)
|
91% |
286
384.4 IPS |
|
|
Machine Translation (SP)
|
100% |
189
3.25 IPS |
|
|
Machine Translation (HP)
|
100% |
185
3.19 IPS |
|
|
Machine Translation (Q)
|
57% |
217
5.30 IPS |
