| Upload Date | October 22 2025 03:32 AM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | nubia NX789J |
| Model ID | nubia NX789J |
| 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 | 22.57 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
435
81.0 IPS |
|
|
Image Classification (HP)
|
100% |
21592
4.02 KIPS |
|
|
Image Classification (Q)
|
97% |
49256
9.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
298
4.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
12600
204.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
40784
663.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
384
0.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
123480
144.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
472697
553.3 IPS |
|
|
Object Detection (SP)
|
100% |
125
9.95 IPS |
|
|
Object Detection (HP)
|
100% |
16906
1.34 KIPS |
|
|
Object Detection (Q)
|
85% |
21775
1.75 KIPS |
|
|
Face Detection (SP)
|
100% |
354
4.20 IPS |
|
|
Face Detection (HP)
|
100% |
33816
401.8 IPS |
|
|
Face Detection (Q)
|
97% |
103307
1.23 KIPS |
|
|
Depth Estimation (SP)
|
100% |
968
7.46 IPS |
|
|
Depth Estimation (HP)
|
99% |
84966
654.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
148648
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
1602
2.06 IPS |
|
|
Style Transfer (HP)
|
98% |
98674
127.2 IPS |
|
|
Style Transfer (Q)
|
98% |
487097
628.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
145
5.34 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51781
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
124350
4.61 KIPS |
|
|
Text Classification (SP)
|
100% |
183
243.6 IPS |
|
|
Text Classification (HP)
|
100% |
3891
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
7890
10.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
333
5.74 IPS |
|
|
Machine Translation (HP)
|
100% |
3861
66.5 IPS |
|
|
Machine Translation (Q)
|
56% |
2611
67.3 IPS |