Upload Date | September 19 2024 08:41 AM |
Views | 1 |
AI Information | |
---|---|
Framework | TensorFlow Lite |
Backend | QNN |
Device | ARM ARMv8 |
System Information | |
---|---|
Operating System | Android 14 |
Model | nubia NX725J |
Model ID | nubia NX725J |
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 | 11.02 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
134
25.0 IPS |
|
Image Classification (HP)
|
100% |
12716
2.36 KIPS |
|
Image Classification (Q)
|
97% |
32245
6.02 KIPS |
|
Image Segmentation (SP)
|
100% |
178
2.89 IPS |
|
Image Segmentation (HP)
|
100% |
7501
121.6 IPS |
|
Image Segmentation (Q)
|
98% |
19558
318.0 IPS |
|
Pose Estimation (SP)
|
100% |
242
0.28 IPS |
|
Pose Estimation (HP)
|
100% |
71314
83.2 IPS |
|
Pose Estimation (Q)
|
98% |
293696
343.8 IPS |
|
Object Detection (SP)
|
100% |
126
9.98 IPS |
|
Object Detection (HP)
|
100% |
11410
905.0 IPS |
|
Object Detection (Q)
|
86% |
12421
998.8 IPS |
|
Face Detection (SP)
|
100% |
303
3.60 IPS |
|
Face Detection (HP)
|
100% |
23084
274.3 IPS |
|
Face Detection (Q)
|
97% |
73850
880.7 IPS |
|
Depth Estimation (SP)
|
100% |
252
1.94 IPS |
|
Depth Estimation (HP)
|
99% |
42699
329.0 IPS |
|
Depth Estimation (Q)
|
63% |
80191
750.9 IPS |
|
Style Transfer (SP)
|
100% |
459
0.59 IPS |
|
Style Transfer (HP)
|
24% |
2921
88.4 IPS |
|
Style Transfer (Q)
|
98% |
220745
284.7 IPS |
|
Image Super-Resolution (SP)
|
100% |
121
4.46 IPS |
|
Image Super-Resolution (HP)
|
100% |
31709
1.17 KIPS |
|
Image Super-Resolution (Q)
|
97% |
82244
3.05 KIPS |
|
Text Classification (SP)
|
100% |
146
195.3 IPS |
|
Text Classification (HP)
|
100% |
2439
3.25 KIPS |
|
Text Classification (Q)
|
93% |
5231
7.02 KIPS |
|
Machine Translation (SP)
|
100% |
266
4.58 IPS |
|
Machine Translation (HP)
|
100% |
2678
46.1 IPS |
|
Machine Translation (Q)
|
30% |
180
36.1 IPS |