| User | jun34GTR |
| Upload Date | August 16 2024 04:56 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Nubia Red Magic 8 Pro |
| Model ID | nubia NX729J |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 14.91 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
503
93.5 IPS |
|
|
Image Classification (HP)
|
100% |
828
153.9 IPS |
|
|
Image Classification (Q)
|
99% |
594
110.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1027
16.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1212
19.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1041
16.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
681
0.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
1066
1.24 IPS |
|
|
Pose Estimation (Q)
|
96% |
1063
1.25 IPS |
|
|
Object Detection (SP)
|
100% |
373
29.6 IPS |
|
|
Object Detection (HP)
|
100% |
606
48.0 IPS |
|
|
Object Detection (Q)
|
89% |
629
50.3 IPS |
|
|
Face Detection (SP)
|
100% |
1747
20.8 IPS |
|
|
Face Detection (HP)
|
100% |
2777
33.0 IPS |
|
|
Face Detection (Q)
|
97% |
2456
29.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1135
8.75 IPS |
|
|
Depth Estimation (HP)
|
99% |
2016
15.5 IPS |
|
|
Depth Estimation (Q)
|
74% |
2003
16.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2880
3.70 IPS |
|
|
Style Transfer (HP)
|
100% |
6580
8.46 IPS |
|
|
Style Transfer (Q)
|
98% |
6462
8.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
346
12.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
237
8.77 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
227
8.42 IPS |
|
|
Text Classification (SP)
|
100% |
187
249.3 IPS |
|
|
Text Classification (HP)
|
100% |
149
198.3 IPS |
|
|
Text Classification (Q)
|
91% |
245
329.3 IPS |
|
|
Machine Translation (SP)
|
100% |
332
5.72 IPS |
|
|
Machine Translation (HP)
|
100% |
335
5.77 IPS |
|
|
Machine Translation (Q)
|
57% |
268
6.56 IPS |