| Upload Date | January 17 2026 11:12 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 888 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Asus ROG Phone 5 |
| Model ID | asus ASUS_I005DA |
| Motherboard | lahaina |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Venus |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 10.98 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
177
32.9 IPS |
|
|
Image Classification (HP)
|
100% |
174
32.4 IPS |
|
|
Image Classification (Q)
|
100% |
469
87.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
179
2.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
181
2.93 IPS |
|
|
Image Segmentation (Q)
|
98% |
504
8.20 IPS |
|
|
Pose Estimation (SP)
|
100% |
643
0.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
647
0.75 IPS |
|
|
Pose Estimation (Q)
|
84% |
1068
1.27 IPS |
|
|
Object Detection (SP)
|
100% |
168
13.3 IPS |
|
|
Object Detection (HP)
|
100% |
172
13.6 IPS |
|
|
Object Detection (Q)
|
83% |
477
38.5 IPS |
|
|
Face Detection (SP)
|
100% |
399
4.74 IPS |
|
|
Face Detection (HP)
|
100% |
383
4.55 IPS |
|
|
Face Detection (Q)
|
95% |
867
10.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
530
4.09 IPS |
|
|
Depth Estimation (HP)
|
99% |
531
4.09 IPS |
|
|
Depth Estimation (Q)
|
64% |
1003
9.19 IPS |
|
|
Style Transfer (SP)
|
89% |
1136
1.47 IPS |
|
|
Style Transfer (HP)
|
89% |
1124
1.46 IPS |
|
|
Style Transfer (Q)
|
98% |
2309
2.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
328
12.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
318
11.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
618
22.9 IPS |
|
|
Text Classification (SP)
|
100% |
168
224.5 IPS |
|
|
Text Classification (HP)
|
100% |
166
222.0 IPS |
|
|
Text Classification (Q)
|
88% |
268
361.6 IPS |
|
|
Machine Translation (SP)
|
100% |
253
4.35 IPS |
|
|
Machine Translation (HP)
|
100% |
249
4.28 IPS |
|
|
Machine Translation (Q)
|
50% |
154
5.48 IPS |