User | onion83 |
Upload Date | April 30 2025 03:09 PM |
Views | 5 |
AI Information | |
---|---|
Framework | TensorFlow Lite |
Backend | QNN |
Device | Qualcomm ARMv8 |
System Information | |
---|---|
Operating System | Android 15 |
Model | OnePlus PKX110 |
Model ID | OnePlus PKX110 |
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 | 14.76 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
172
32.1 IPS |
|
Image Classification (HP)
|
100% |
17786
3.31 KIPS |
|
Image Classification (Q)
|
97% |
36989
6.90 KIPS |
|
Image Segmentation (SP)
|
100% |
131
2.13 IPS |
|
Image Segmentation (HP)
|
100% |
10790
174.9 IPS |
|
Image Segmentation (Q)
|
98% |
34876
567.1 IPS |
|
Pose Estimation (SP)
|
100% |
163
0.19 IPS |
|
Pose Estimation (HP)
|
100% |
119469
139.4 IPS |
|
Pose Estimation (Q)
|
98% |
462071
540.8 IPS |
|
Object Detection (SP)
|
100% |
94
7.42 IPS |
|
Object Detection (HP)
|
100% |
14776
1.17 KIPS |
|
Object Detection (Q)
|
85% |
19606
1.58 KIPS |
|
Face Detection (SP)
|
100% |
485
5.76 IPS |
|
Face Detection (HP)
|
100% |
28945
343.9 IPS |
|
Face Detection (Q)
|
97% |
83652
997.6 IPS |
|
Depth Estimation (SP)
|
100% |
223
1.72 IPS |
|
Depth Estimation (HP)
|
99% |
75827
584.2 IPS |
|
Depth Estimation (Q)
|
63% |
130510
1.21 KIPS |
|
Style Transfer (SP)
|
100% |
408
0.52 IPS |
|
Style Transfer (HP)
|
98% |
96811
124.8 IPS |
|
Style Transfer (Q)
|
98% |
479432
618.2 IPS |
|
Image Super-Resolution (SP)
|
100% |
106
3.91 IPS |
|
Image Super-Resolution (HP)
|
100% |
50540
1.87 KIPS |
|
Image Super-Resolution (Q)
|
97% |
117619
4.36 KIPS |
|
Text Classification (SP)
|
100% |
134
178.9 IPS |
|
Text Classification (HP)
|
100% |
3822
5.10 KIPS |
|
Text Classification (Q)
|
93% |
7655
10.3 KIPS |
|
Machine Translation (SP)
|
100% |
253
4.35 IPS |
|
Machine Translation (HP)
|
100% |
3203
55.2 IPS |
|
Machine Translation (Q)
|
56% |
2149
55.4 IPS |