| Upload Date | November 01 2025 02:17 AM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | asus ASUS_AI2401_C |
| Model ID | asus ASUS_AI2401_C |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 14.94 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1350
251.0 IPS |
|
|
Image Classification (HP)
|
100% |
2034
378.2 IPS |
|
|
Image Classification (Q)
|
100% |
1853
344.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2859
46.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4820
78.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3988
64.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10171
11.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
19045
22.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
18831
22.1 IPS |
|
|
Object Detection (SP)
|
100% |
1160
92.0 IPS |
|
|
Object Detection (HP)
|
99% |
1823
144.6 IPS |
|
|
Object Detection (Q)
|
87% |
1750
140.5 IPS |
|
|
Face Detection (SP)
|
100% |
4339
51.6 IPS |
|
|
Face Detection (HP)
|
100% |
7645
90.8 IPS |
|
|
Face Detection (Q)
|
97% |
6165
73.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5397
41.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
7976
61.6 IPS |
|
|
Depth Estimation (Q)
|
61% |
6057
59.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12974
16.7 IPS |
|
|
Style Transfer (HP)
|
100% |
28016
36.0 IPS |
|
|
Style Transfer (Q)
|
98% |
27806
35.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3005
111.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4864
179.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4790
177.5 IPS |
|
|
Text Classification (SP)
|
35% |
54
529.9 IPS |
|
|
Text Classification (HP)
|
35% |
83
758.0 IPS |
|
|
Text Classification (Q)
|
33% |
60
722.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1107
19.1 IPS |
|
|
Machine Translation (HP)
|
97% |
985
17.0 IPS |
|
|
Machine Translation (Q)
|
43% |
268
15.2 IPS |