| User | 46fy45 |
| Upload Date | March 02 2026 04:44 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | vivo V2241HA |
| Model ID | vivo V2241HA |
| Motherboard | k6985v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 3.00 GHz |
| Cluster 3 | 1 Core @ 3.35 GHz |
| Memory Information | |
|---|---|
| Size | 7.17 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
597
111.0 IPS |
|
|
Image Classification (HP)
|
100% |
2616
486.5 IPS |
|
|
Image Classification (Q)
|
99% |
6566
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
370
6.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
2587
41.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1223
19.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3049
3.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
8131
9.49 IPS |
|
|
Pose Estimation (Q)
|
95% |
32893
38.6 IPS |
|
|
Object Detection (SP)
|
100% |
450
35.7 IPS |
|
|
Object Detection (HP)
|
100% |
2293
181.9 IPS |
|
|
Object Detection (Q)
|
86% |
3609
290.3 IPS |
|
|
Face Detection (SP)
|
28% |
43
7.96 IPS |
|
|
Face Detection (HP)
|
100% |
6857
81.5 IPS |
|
|
Face Detection (Q)
|
97% |
10127
120.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
915
7.05 IPS |
|
|
Depth Estimation (HP)
|
99% |
9938
76.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
23037
218.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2226
2.86 IPS |
|
|
Style Transfer (HP)
|
100% |
772
0.99 IPS |
|
|
Style Transfer (Q)
|
30% |
493
7.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1210
44.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5331
196.9 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
4295
625.5 IPS |
|
|
Text Classification (SP)
|
100% |
66
88.0 IPS |
|
|
Text Classification (HP)
|
100% |
378
504.9 IPS |
|
|
Text Classification (Q)
|
93% |
935
1.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
294
5.06 IPS |
|
|
Machine Translation (HP)
|
100% |
540
9.31 IPS |
|
|
Machine Translation (Q)
|
60% |
367
8.25 IPS |