| User | 46fy45 |
| Upload Date | February 11 2026 07:07 AM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
457
85.0 IPS |
|
|
Image Classification (HP)
|
100% |
459
85.3 IPS |
|
|
Image Classification (Q)
|
100% |
1429
265.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
507
8.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
508
8.24 IPS |
|
|
Image Segmentation (Q)
|
98% |
1692
27.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2026
2.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
2033
2.37 IPS |
|
|
Pose Estimation (Q)
|
84% |
3766
4.47 IPS |
|
|
Object Detection (SP)
|
100% |
458
36.3 IPS |
|
|
Object Detection (HP)
|
100% |
459
36.4 IPS |
|
|
Object Detection (Q)
|
83% |
1387
112.0 IPS |
|
|
Face Detection (SP)
|
100% |
1023
12.2 IPS |
|
|
Face Detection (HP)
|
100% |
1021
12.1 IPS |
|
|
Face Detection (Q)
|
95% |
3364
40.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1573
12.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1582
12.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
3435
31.5 IPS |
|
|
Style Transfer (SP)
|
89% |
3483
4.52 IPS |
|
|
Style Transfer (HP)
|
89% |
3461
4.49 IPS |
|
|
Style Transfer (Q)
|
98% |
8056
10.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
832
30.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
825
30.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1843
68.3 IPS |
|
|
Text Classification (SP)
|
100% |
458
610.8 IPS |
|
|
Text Classification (HP)
|
100% |
452
602.8 IPS |
|
|
Text Classification (Q)
|
88% |
807
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
705
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
655
11.3 IPS |
|
|
Machine Translation (Q)
|
50% |
416
14.8 IPS |