| User | 46fy45 |
| Upload Date | January 27 2026 04:35 PM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2337A |
| Model ID | vivo V2337A |
| 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 | 14.84 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
139
25.8 IPS |
|
|
Image Classification (HP)
|
100% |
139
25.9 IPS |
|
|
Image Classification (Q)
|
99% |
348
64.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
186
3.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
187
3.03 IPS |
|
|
Image Segmentation (Q)
|
98% |
371
6.03 IPS |
|
|
Pose Estimation (SP)
|
100% |
241
0.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
240
0.28 IPS |
|
|
Pose Estimation (Q)
|
98% |
914
1.07 IPS |
|
|
Object Detection (SP)
|
100% |
138
10.9 IPS |
|
|
Object Detection (HP)
|
100% |
138
10.9 IPS |
|
|
Object Detection (Q)
|
87% |
376
30.2 IPS |
|
|
Face Detection (SP)
|
100% |
409
4.86 IPS |
|
|
Face Detection (HP)
|
100% |
411
4.88 IPS |
|
|
Face Detection (Q)
|
97% |
788
9.39 IPS |
|
|
Depth Estimation (SP)
|
100% |
330
2.54 IPS |
|
|
Depth Estimation (HP)
|
99% |
325
2.51 IPS |
|
|
Depth Estimation (Q)
|
64% |
742
6.73 IPS |
|
|
Style Transfer (SP)
|
100% |
582
0.75 IPS |
|
|
Style Transfer (HP)
|
100% |
582
0.75 IPS |
|
|
Style Transfer (Q)
|
98% |
1615
2.08 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
156
5.75 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
156
5.75 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
528
19.6 IPS |
|
|
Text Classification (SP)
|
100% |
191
255.0 IPS |
|
|
Text Classification (HP)
|
100% |
192
256.0 IPS |
|
|
Text Classification (Q)
|
91% |
311
418.0 IPS |
|
|
Machine Translation (SP)
|
100% |
367
6.33 IPS |
|
|
Machine Translation (HP)
|
100% |
368
6.34 IPS |
|
|
Machine Translation (Q)
|
57% |
305
7.46 IPS |