vivo V2502A
Geekbench AI Score
671
Single Precision Score
674
Half Precision Score
1541
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 13 2025 10:56 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | vivo V2502A |
| Model ID | vivo V2502A |
| Motherboard | k6993v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3468 revision 0 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 4 Cores @ 2.70 GHz |
| Cluster 2 | 3 Cores @ 3.50 GHz |
| Cluster 3 | 1 Core @ 4.21 GHz |
| Memory Information | |
|---|---|
| Size | 15.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
403
74.9 IPS |
|
|
Image Classification (HP)
|
100% |
406
75.6 IPS |
|
|
Image Classification (Q)
|
99% |
1141
212.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
535
8.67 IPS |
|
|
Image Segmentation (HP)
|
100% |
538
8.73 IPS |
|
|
Image Segmentation (Q)
|
98% |
1084
17.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
699
0.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
698
0.81 IPS |
|
|
Pose Estimation (Q)
|
98% |
2877
3.37 IPS |
|
|
Object Detection (SP)
|
100% |
408
32.4 IPS |
|
|
Object Detection (HP)
|
100% |
411
32.6 IPS |
|
|
Object Detection (Q)
|
87% |
1201
96.3 IPS |
|
|
Face Detection (SP)
|
100% |
934
11.1 IPS |
|
|
Face Detection (HP)
|
100% |
948
11.3 IPS |
|
|
Face Detection (Q)
|
97% |
2332
27.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
879
6.77 IPS |
|
|
Depth Estimation (HP)
|
99% |
871
6.71 IPS |
|
|
Depth Estimation (Q)
|
64% |
2119
19.2 IPS |
|
|
Style Transfer (SP)
|
100% |
1240
1.59 IPS |
|
|
Style Transfer (HP)
|
100% |
1235
1.59 IPS |
|
|
Style Transfer (Q)
|
98% |
3298
4.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
505
18.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
506
18.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1834
68.0 IPS |
|
|
Text Classification (SP)
|
100% |
687
916.6 IPS |
|
|
Text Classification (HP)
|
100% |
690
921.2 IPS |
|
|
Text Classification (Q)
|
91% |
947
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
857
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
878
15.1 IPS |
|
|
Machine Translation (Q)
|
57% |
626
15.3 IPS |
