vivo V2502A
Geekbench AI Score
690
Single Precision Score
693
Half Precision Score
1559
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 18 2025 11:57 AM |
| Views | 2 |
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% |
411
76.4 IPS |
|
|
Image Classification (HP)
|
100% |
416
77.5 IPS |
|
|
Image Classification (Q)
|
99% |
1125
209.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
549
8.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
554
8.98 IPS |
|
|
Image Segmentation (Q)
|
98% |
1082
17.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
725
0.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
723
0.84 IPS |
|
|
Pose Estimation (Q)
|
98% |
2921
3.42 IPS |
|
|
Object Detection (SP)
|
100% |
420
33.3 IPS |
|
|
Object Detection (HP)
|
100% |
423
33.6 IPS |
|
|
Object Detection (Q)
|
87% |
1213
97.3 IPS |
|
|
Face Detection (SP)
|
100% |
977
11.6 IPS |
|
|
Face Detection (HP)
|
100% |
993
11.8 IPS |
|
|
Face Detection (Q)
|
97% |
2371
28.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
897
6.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
901
6.94 IPS |
|
|
Depth Estimation (Q)
|
64% |
2150
19.5 IPS |
|
|
Style Transfer (SP)
|
100% |
1283
1.65 IPS |
|
|
Style Transfer (HP)
|
100% |
1276
1.64 IPS |
|
|
Style Transfer (Q)
|
98% |
3416
4.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
518
19.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
520
19.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1892
70.1 IPS |
|
|
Text Classification (SP)
|
100% |
692
923.9 IPS |
|
|
Text Classification (HP)
|
100% |
692
923.5 IPS |
|
|
Text Classification (Q)
|
91% |
944
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
889
15.3 IPS |
|
|
Machine Translation (HP)
|
100% |
883
15.2 IPS |
|
|
Machine Translation (Q)
|
57% |
633
15.5 IPS |
