| User | 46fy45 |
| Upload Date | February 11 2026 07:14 AM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2283A |
| Model ID | vivo V2283A |
| Motherboard | lahaina |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.40 GHz |
| Cluster 3 | 1 Core @ 2.52 GHz |
| Memory Information | |
|---|---|
| Size | 7.15 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
382
71.0 IPS |
|
|
Image Classification (HP)
|
100% |
576
107.1 IPS |
|
|
Image Classification (Q)
|
99% |
510
95.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
642
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
982
15.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
802
13.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2410
2.81 IPS |
|
|
Pose Estimation (HP)
|
99% |
4286
5.00 IPS |
|
|
Pose Estimation (Q)
|
97% |
4197
4.91 IPS |
|
|
Object Detection (SP)
|
100% |
338
26.8 IPS |
|
|
Object Detection (HP)
|
99% |
446
35.4 IPS |
|
|
Object Detection (Q)
|
85% |
420
33.8 IPS |
|
|
Face Detection (SP)
|
100% |
983
11.7 IPS |
|
|
Face Detection (HP)
|
100% |
1550
18.4 IPS |
|
|
Face Detection (Q)
|
97% |
1310
15.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1457
11.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
2370
18.3 IPS |
|
|
Depth Estimation (Q)
|
65% |
1959
17.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2994
3.85 IPS |
|
|
Style Transfer (HP)
|
100% |
6046
7.77 IPS |
|
|
Style Transfer (Q)
|
98% |
5954
7.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
612
22.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
903
33.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
875
32.4 IPS |
|
|
Text Classification (SP)
|
35% |
22
210.1 IPS |
|
|
Text Classification (HP)
|
35% |
33
300.1 IPS |
|
|
Text Classification (Q)
|
35% |
33
297.5 IPS |
|
|
Machine Translation (SP)
|
100% |
169
2.92 IPS |
|
|
Machine Translation (HP)
|
97% |
221
3.82 IPS |
|
|
Machine Translation (Q)
|
64% |
168
3.46 IPS |