UMIDIGI MP04
Geekbench AI Score
529
Single Precision Score
525
Half Precision Score
1073
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | fenom |
| Upload Date | December 08 2024 07:21 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6877V/ZA |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | UMIDIGI MP04 |
| Model ID | UMIDIGI MP04 |
| Motherboard | k6877v1_64_k419 |
| CPU Information | |
|---|---|
| Name | ARM MT6877V/ZA |
| 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 @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 11.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
245
45.6 IPS |
|
|
Image Classification (HP)
|
100% |
234
43.5 IPS |
|
|
Image Classification (Q)
|
100% |
750
139.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
299
4.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
294
4.77 IPS |
|
|
Image Segmentation (Q)
|
98% |
795
12.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1124
1.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
1096
1.28 IPS |
|
|
Pose Estimation (Q)
|
84% |
1848
2.19 IPS |
|
|
Object Detection (SP)
|
100% |
223
17.7 IPS |
|
|
Object Detection (HP)
|
100% |
225
17.9 IPS |
|
|
Object Detection (Q)
|
83% |
694
56.1 IPS |
|
|
Face Detection (SP)
|
100% |
759
9.02 IPS |
|
|
Face Detection (HP)
|
100% |
762
9.05 IPS |
|
|
Face Detection (Q)
|
95% |
1735
20.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
909
7.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
957
7.37 IPS |
|
|
Depth Estimation (Q)
|
64% |
1686
15.4 IPS |
|
|
Style Transfer (SP)
|
89% |
2012
2.61 IPS |
|
|
Style Transfer (HP)
|
89% |
2021
2.62 IPS |
|
|
Style Transfer (Q)
|
98% |
4294
5.54 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
538
19.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
540
19.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
924
34.3 IPS |
|
|
Text Classification (SP)
|
100% |
286
381.1 IPS |
|
|
Text Classification (HP)
|
100% |
278
371.1 IPS |
|
|
Text Classification (Q)
|
88% |
647
873.2 IPS |
|
|
Machine Translation (SP)
|
100% |
442
7.62 IPS |
|
|
Machine Translation (HP)
|
100% |
430
7.41 IPS |
|
|
Machine Translation (Q)
|
50% |
354
12.6 IPS |
