| Upload Date | December 20 2025 12:23 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | OnePlus CPH2649 |
| Model ID | OnePlus CPH2649 |
| 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 | 22.52 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
242
45.0 IPS |
|
|
Image Classification (HP)
|
100% |
19035
3.54 KIPS |
|
|
Image Classification (Q)
|
97% |
44505
8.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
408
6.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
12885
208.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
36163
588.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
303
0.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
118699
138.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
465802
545.2 IPS |
|
|
Object Detection (SP)
|
100% |
97
7.72 IPS |
|
|
Object Detection (HP)
|
100% |
15474
1.23 KIPS |
|
|
Object Detection (Q)
|
85% |
16807
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
258
3.06 IPS |
|
|
Face Detection (HP)
|
100% |
29352
348.8 IPS |
|
|
Face Detection (Q)
|
97% |
97059
1.16 KIPS |
|
|
Depth Estimation (SP)
|
100% |
188
1.45 IPS |
|
|
Depth Estimation (HP)
|
99% |
74985
577.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
123737
1.15 KIPS |
|
|
Style Transfer (SP)
|
100% |
360
0.46 IPS |
|
|
Style Transfer (HP)
|
98% |
96350
124.2 IPS |
|
|
Style Transfer (Q)
|
98% |
476648
614.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
94
3.47 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48295
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
123509
4.58 KIPS |
|
|
Text Classification (SP)
|
100% |
113
151.0 IPS |
|
|
Text Classification (HP)
|
100% |
3826
5.11 KIPS |
|
|
Text Classification (Q)
|
93% |
7633
10.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
214
3.68 IPS |
|
|
Machine Translation (HP)
|
100% |
3172
54.6 IPS |
|
|
Machine Translation (Q)
|
56% |
2026
52.2 IPS |