| User | 46fy45 |
| Upload Date | March 02 2026 04:32 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1387
258.0 IPS |
|
|
Image Classification (HP)
|
100% |
1547
287.6 IPS |
|
|
Image Classification (Q)
|
100% |
2591
481.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1468
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1716
27.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2820
45.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3174
3.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
3147
3.67 IPS |
|
|
Pose Estimation (Q)
|
84% |
7669
9.10 IPS |
|
|
Object Detection (SP)
|
98% |
1524
121.3 IPS |
|
|
Object Detection (HP)
|
98% |
1680
133.6 IPS |
|
|
Object Detection (Q)
|
83% |
2513
203.0 IPS |
|
|
Face Detection (SP)
|
100% |
3183
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
3224
38.3 IPS |
|
|
Face Detection (Q)
|
95% |
5602
66.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3076
23.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3118
24.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
5717
52.4 IPS |
|
|
Style Transfer (SP)
|
89% |
7852
10.2 IPS |
|
|
Style Transfer (HP)
|
89% |
7846
10.2 IPS |
|
|
Style Transfer (Q)
|
98% |
15398
19.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1529
56.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1541
56.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4007
148.5 IPS |
|
|
Text Classification (SP)
|
100% |
331
441.8 IPS |
|
|
Text Classification (HP)
|
99% |
813
1.08 KIPS |
|
|
Text Classification (Q)
|
88% |
1294
1.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
1481
25.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1460
25.1 IPS |
|
|
Machine Translation (Q)
|
50% |
660
23.4 IPS |