Upload Date | May 18 2025 01:35 AM |
Views | 3 |
AI Information | |
---|---|
Framework | TensorFlow Lite |
Backend | GPU |
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 | 10.90 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
675
125.4 IPS |
|
Image Classification (HP)
|
100% |
585
108.8 IPS |
|
Image Classification (Q)
|
99% |
538
100.4 IPS |
|
Image Segmentation (SP)
|
100% |
1444
23.4 IPS |
|
Image Segmentation (HP)
|
100% |
1209
19.6 IPS |
|
Image Segmentation (Q)
|
98% |
1105
18.0 IPS |
|
Pose Estimation (SP)
|
100% |
1566
1.83 IPS |
|
Pose Estimation (HP)
|
100% |
2448
2.86 IPS |
|
Pose Estimation (Q)
|
96% |
2450
2.87 IPS |
|
Object Detection (SP)
|
100% |
533
42.3 IPS |
|
Object Detection (HP)
|
100% |
967
76.7 IPS |
|
Object Detection (Q)
|
86% |
778
62.5 IPS |
|
Face Detection (SP)
|
100% |
2267
26.9 IPS |
|
Face Detection (HP)
|
100% |
5178
61.5 IPS |
|
Face Detection (Q)
|
97% |
4538
54.1 IPS |
|
Depth Estimation (SP)
|
100% |
1552
12.0 IPS |
|
Depth Estimation (HP)
|
99% |
4271
33.0 IPS |
|
Depth Estimation (Q)
|
63% |
3557
33.1 IPS |
|
Style Transfer (SP)
|
100% |
5786
7.44 IPS |
|
Style Transfer (HP)
|
100% |
12312
15.8 IPS |
|
Style Transfer (Q)
|
98% |
12187
15.7 IPS |
|
Image Super-Resolution (SP)
|
100% |
630
23.2 IPS |
|
Image Super-Resolution (HP)
|
100% |
1937
71.5 IPS |
|
Image Super-Resolution (Q)
|
97% |
1898
70.3 IPS |
|
Text Classification (SP)
|
100% |
625
834.1 IPS |
|
Text Classification (HP)
|
100% |
626
835.0 IPS |
|
Text Classification (Q)
|
91% |
961
1.29 KIPS |
|
Machine Translation (SP)
|
100% |
1032
17.8 IPS |
|
Machine Translation (HP)
|
100% |
1034
17.8 IPS |
|
Machine Translation (Q)
|
57% |
774
18.9 IPS |