User | abufrejoval |
Upload Date | March 08 2025 12:54 PM |
Views | 1 |
AI Information | |
---|---|
Framework | TensorFlow Lite |
Backend | QNN |
Device | Qualcomm ARMv8 |
System Information | |
---|---|
Operating System | Android 15 |
Model | OnePlus CPH2653 |
Model ID | OnePlus CPH2653 |
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 | 14.75 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
126
23.4 IPS |
|
Image Classification (HP)
|
100% |
18446
3.43 KIPS |
|
Image Classification (Q)
|
97% |
40829
7.62 KIPS |
|
Image Segmentation (SP)
|
100% |
166
2.68 IPS |
|
Image Segmentation (HP)
|
100% |
12733
206.4 IPS |
|
Image Segmentation (Q)
|
98% |
37745
613.8 IPS |
|
Pose Estimation (SP)
|
100% |
228
0.27 IPS |
|
Pose Estimation (HP)
|
100% |
121495
141.8 IPS |
|
Pose Estimation (Q)
|
98% |
473094
553.7 IPS |
|
Object Detection (SP)
|
100% |
125
9.88 IPS |
|
Object Detection (HP)
|
100% |
17520
1.39 KIPS |
|
Object Detection (Q)
|
85% |
19694
1.58 KIPS |
|
Face Detection (SP)
|
100% |
354
4.21 IPS |
|
Face Detection (HP)
|
100% |
35301
419.5 IPS |
|
Face Detection (Q)
|
97% |
106056
1.26 KIPS |
|
Depth Estimation (SP)
|
100% |
299
2.30 IPS |
|
Depth Estimation (HP)
|
99% |
79594
613.2 IPS |
|
Depth Estimation (Q)
|
63% |
134598
1.25 KIPS |
|
Style Transfer (SP)
|
100% |
562
0.72 IPS |
|
Style Transfer (HP)
|
98% |
98072
126.5 IPS |
|
Style Transfer (Q)
|
98% |
489755
631.5 IPS |
|
Image Super-Resolution (SP)
|
100% |
147
5.43 IPS |
|
Image Super-Resolution (HP)
|
100% |
52790
1.95 KIPS |
|
Image Super-Resolution (Q)
|
97% |
124785
4.62 KIPS |
|
Text Classification (SP)
|
100% |
186
248.2 IPS |
|
Text Classification (HP)
|
100% |
3893
5.20 KIPS |
|
Text Classification (Q)
|
93% |
8031
10.8 KIPS |
|
Machine Translation (SP)
|
100% |
338
5.83 IPS |
|
Machine Translation (HP)
|
100% |
3887
66.9 IPS |
|
Machine Translation (Q)
|
56% |
2612
67.3 IPS |