UMIDIGI MP04
Geekbench AI Score
220
Single Precision Score
301
Half Precision Score
304
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | fenom |
| Upload Date | December 08 2024 07:46 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
160
29.7 IPS |
|
|
Image Classification (HP)
|
100% |
290
53.9 IPS |
|
|
Image Classification (Q)
|
99% |
217
40.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
222
3.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
347
5.63 IPS |
|
|
Image Segmentation (Q)
|
98% |
338
5.49 IPS |
|
|
Pose Estimation (SP)
|
100% |
153
0.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
180
0.21 IPS |
|
|
Pose Estimation (Q)
|
96% |
179
0.21 IPS |
|
|
Object Detection (SP)
|
100% |
116
9.22 IPS |
|
|
Object Detection (HP)
|
100% |
176
13.9 IPS |
|
|
Object Detection (Q)
|
83% |
182
14.7 IPS |
|
|
Face Detection (SP)
|
100% |
475
5.65 IPS |
|
|
Face Detection (HP)
|
100% |
797
9.47 IPS |
|
|
Face Detection (Q)
|
97% |
723
8.62 IPS |
|
|
Depth Estimation (SP)
|
100% |
293
2.26 IPS |
|
|
Depth Estimation (HP)
|
99% |
377
2.90 IPS |
|
|
Depth Estimation (Q)
|
62% |
304
2.88 IPS |
|
|
Style Transfer (SP)
|
100% |
591
0.76 IPS |
|
|
Style Transfer (HP)
|
100% |
830
1.07 IPS |
|
|
Style Transfer (Q)
|
98% |
823
1.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
146
5.40 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
221
8.16 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
221
8.20 IPS |
|
|
Text Classification (SP)
|
100% |
148
197.7 IPS |
|
|
Text Classification (HP)
|
100% |
150
200.2 IPS |
|
|
Text Classification (Q)
|
91% |
332
445.6 IPS |
|
|
Machine Translation (SP)
|
100% |
239
4.11 IPS |
|
|
Machine Translation (HP)
|
100% |
239
4.12 IPS |
|
|
Machine Translation (Q)
|
57% |
218
5.33 IPS |
