| User | K3t4MiN3_RDMGK10SPro |
| Upload Date | July 23 2025 05:46 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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 @ 4.47 GHz |
| Memory Information | |
|---|---|
| Size | 14.80 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2086
388.0 IPS |
|
|
Image Classification (HP)
|
100% |
1908
354.8 IPS |
|
|
Image Classification (Q)
|
100% |
3400
632.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2601
42.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2573
41.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5792
94.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3771
4.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
3790
4.42 IPS |
|
|
Pose Estimation (Q)
|
84% |
10153
12.0 IPS |
|
|
Object Detection (SP)
|
98% |
1183
94.1 IPS |
|
|
Object Detection (HP)
|
98% |
1179
93.8 IPS |
|
|
Object Detection (Q)
|
83% |
2722
219.9 IPS |
|
|
Face Detection (SP)
|
100% |
3356
39.9 IPS |
|
|
Face Detection (HP)
|
100% |
3419
40.6 IPS |
|
|
Face Detection (Q)
|
95% |
6437
76.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3209
24.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3195
24.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
7279
66.7 IPS |
|
|
Style Transfer (SP)
|
89% |
8164
10.6 IPS |
|
|
Style Transfer (HP)
|
89% |
8150
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
16633
21.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1635
60.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1667
61.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3633
134.6 IPS |
|
|
Text Classification (SP)
|
100% |
541
722.7 IPS |
|
|
Text Classification (HP)
|
99% |
405
540.7 IPS |
|
|
Text Classification (Q)
|
88% |
509
686.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1079
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1086
18.7 IPS |
|
|
Machine Translation (Q)
|
50% |
418
14.8 IPS |