DOOGEE V Max Pro
Geekbench AI Score
540
Single Precision Score
526
Half Precision Score
1101
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 20 2024 01:11 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6877 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | DOOGEE V Max Pro |
| Model ID | DOOGEE V Max Pro |
| Motherboard | k6877v1_64_k419 |
| CPU Information | |
|---|---|
| Name | ARM MT6877 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.60 GHz |
| Memory Information | |
|---|---|
| Size | 11.40 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
293
54.6 IPS |
|
|
Image Classification (HP)
|
100% |
294
54.7 IPS |
|
|
Image Classification (Q)
|
100% |
854
158.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
365
5.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
354
5.75 IPS |
|
|
Image Segmentation (Q)
|
98% |
970
15.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1082
1.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
1015
1.18 IPS |
|
|
Pose Estimation (Q)
|
84% |
1731
2.05 IPS |
|
|
Object Detection (SP)
|
100% |
215
17.0 IPS |
|
|
Object Detection (HP)
|
100% |
215
17.1 IPS |
|
|
Object Detection (Q)
|
83% |
700
56.5 IPS |
|
|
Face Detection (SP)
|
100% |
736
8.74 IPS |
|
|
Face Detection (HP)
|
100% |
724
8.60 IPS |
|
|
Face Detection (Q)
|
95% |
1729
20.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
987
7.61 IPS |
|
|
Depth Estimation (HP)
|
99% |
898
6.92 IPS |
|
|
Depth Estimation (Q)
|
64% |
1590
14.6 IPS |
|
|
Style Transfer (SP)
|
89% |
1725
2.24 IPS |
|
|
Style Transfer (HP)
|
89% |
1753
2.28 IPS |
|
|
Style Transfer (Q)
|
98% |
3966
5.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
516
19.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
511
18.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
941
34.9 IPS |
|
|
Text Classification (SP)
|
100% |
289
386.0 IPS |
|
|
Text Classification (HP)
|
100% |
290
386.9 IPS |
|
|
Text Classification (Q)
|
88% |
676
911.8 IPS |
|
|
Machine Translation (SP)
|
100% |
454
7.82 IPS |
|
|
Machine Translation (HP)
|
100% |
425
7.32 IPS |
|
|
Machine Translation (Q)
|
50% |
377
13.4 IPS |
