| Upload Date | February 01 2026 03:27 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 10.86 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
117
21.7 IPS |
|
|
Image Classification (HP)
|
100% |
18417
3.43 KIPS |
|
|
Image Classification (Q)
|
96% |
40966
7.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
152
2.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
11389
184.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
44864
729.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
385
0.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
121888
142.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
470707
550.9 IPS |
|
|
Object Detection (SP)
|
100% |
113
8.97 IPS |
|
|
Object Detection (HP)
|
100% |
16316
1.29 KIPS |
|
|
Object Detection (Q)
|
85% |
23565
1.90 KIPS |
|
|
Face Detection (SP)
|
100% |
324
3.85 IPS |
|
|
Face Detection (HP)
|
100% |
31725
377.0 IPS |
|
|
Face Detection (Q)
|
97% |
111159
1.33 KIPS |
|
|
Depth Estimation (SP)
|
100% |
272
2.09 IPS |
|
|
Depth Estimation (HP)
|
99% |
76529
589.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
150654
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
901
1.16 IPS |
|
|
Style Transfer (HP)
|
100% |
91867
118.1 IPS |
|
|
Style Transfer (Q)
|
98% |
479306
618.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
245
9.04 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51648
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
125132
4.64 KIPS |
|
|
Text Classification (SP)
|
100% |
167
222.5 IPS |
|
|
Text Classification (HP)
|
100% |
4376
5.84 KIPS |
|
|
Text Classification (Q)
|
93% |
11846
15.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
559
9.63 IPS |
|
|
Machine Translation (HP)
|
100% |
4344
74.8 IPS |
|
|
Machine Translation (Q)
|
56% |
2842
73.2 IPS |