| Upload Date | September 24 2025 02:15 AM |
| Views | 22 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | asus ASUSAI2501C |
| Model ID | asus ASUSAI2501C |
| 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 | 22.46 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
439
81.7 IPS |
|
|
Image Classification (HP)
|
100% |
21495
4.00 KIPS |
|
|
Image Classification (Q)
|
97% |
50163
9.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
551
8.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
14320
232.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
43553
708.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
710
0.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
121112
141.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
479880
561.7 IPS |
|
|
Object Detection (SP)
|
100% |
405
32.1 IPS |
|
|
Object Detection (HP)
|
100% |
20244
1.61 KIPS |
|
|
Object Detection (Q)
|
85% |
23815
1.92 KIPS |
|
|
Face Detection (SP)
|
100% |
1065
12.7 IPS |
|
|
Face Detection (HP)
|
100% |
45050
535.3 IPS |
|
|
Face Detection (Q)
|
97% |
156508
1.87 KIPS |
|
|
Depth Estimation (SP)
|
100% |
909
7.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
85232
656.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
149570
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
1533
1.97 IPS |
|
|
Style Transfer (HP)
|
98% |
99257
128.0 IPS |
|
|
Style Transfer (Q)
|
98% |
497238
641.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
477
17.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55279
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
135761
5.03 KIPS |
|
|
Text Classification (SP)
|
100% |
618
824.6 IPS |
|
|
Text Classification (HP)
|
100% |
3956
5.28 KIPS |
|
|
Text Classification (Q)
|
93% |
8215
11.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
1036
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4844
83.4 IPS |
|
|
Machine Translation (Q)
|
56% |
3185
82.1 IPS |