| User | jcardoso |
| Upload Date | September 25 2024 09:32 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | asus ASUS_AI2401_D |
| Model ID | asus ASUS_AI2401_D |
| 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 | 22.74 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
869
161.5 IPS |
|
|
Image Classification (HP)
|
100% |
1504
279.7 IPS |
|
|
Image Classification (Q)
|
96% |
1350
252.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1354
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3001
48.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2681
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1101
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
2569
3.00 IPS |
|
|
Pose Estimation (Q)
|
96% |
2552
2.99 IPS |
|
|
Object Detection (SP)
|
100% |
738
58.5 IPS |
|
|
Object Detection (HP)
|
100% |
1121
88.9 IPS |
|
|
Object Detection (Q)
|
87% |
1112
89.2 IPS |
|
|
Face Detection (SP)
|
100% |
2722
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
4761
56.6 IPS |
|
|
Face Detection (Q)
|
97% |
4114
49.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1851
14.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3860
29.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
3144
29.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6776
8.71 IPS |
|
|
Style Transfer (HP)
|
100% |
10992
14.1 IPS |
|
|
Style Transfer (Q)
|
98% |
10771
13.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
552
20.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1675
61.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1608
59.6 IPS |
|
|
Text Classification (SP)
|
100% |
428
571.1 IPS |
|
|
Text Classification (HP)
|
100% |
432
576.3 IPS |
|
|
Text Classification (Q)
|
91% |
725
973.9 IPS |
|
|
Machine Translation (SP)
|
100% |
668
11.5 IPS |
|
|
Machine Translation (HP)
|
100% |
658
11.3 IPS |
|
|
Machine Translation (Q)
|
57% |
573
14.0 IPS |