| User | kamikadzew |
| Upload Date | January 11 2025 01:28 AM |
| Views | 18 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | nubia NX733J |
| Model ID | nubia NX733J |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.32 GHz |
| Memory Information | |
|---|---|
| Size | 14.80 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
463
86.2 IPS |
|
|
Image Classification (HP)
|
100% |
21965
4.08 KIPS |
|
|
Image Classification (Q)
|
97% |
50089
9.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
589
9.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
14731
238.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
43438
706.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
747
0.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
123683
144.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
482799
565.1 IPS |
|
|
Object Detection (SP)
|
100% |
420
33.4 IPS |
|
|
Object Detection (HP)
|
100% |
20262
1.61 KIPS |
|
|
Object Detection (Q)
|
85% |
23844
1.92 KIPS |
|
|
Face Detection (SP)
|
100% |
1087
12.9 IPS |
|
|
Face Detection (HP)
|
100% |
45223
537.4 IPS |
|
|
Face Detection (Q)
|
97% |
163099
1.95 KIPS |
|
|
Depth Estimation (SP)
|
100% |
936
7.21 IPS |
|
|
Depth Estimation (HP)
|
99% |
85324
657.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
149512
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
1548
1.99 IPS |
|
|
Style Transfer (HP)
|
98% |
98855
127.5 IPS |
|
|
Style Transfer (Q)
|
98% |
486852
627.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
186
6.86 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51904
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
125154
4.64 KIPS |
|
|
Text Classification (SP)
|
100% |
235
313.9 IPS |
|
|
Text Classification (HP)
|
100% |
3882
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
7859
10.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
428
7.38 IPS |
|
|
Machine Translation (HP)
|
100% |
4876
84.0 IPS |
|
|
Machine Translation (Q)
|
56% |
2522
65.0 IPS |