vivo V2520A
Geekbench AI Score
1981
Single Precision Score
1849
Half Precision Score
3244
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 17 2025 05:21 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | vivo V2520A |
| Model ID | vivo V2520A |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.32 GHz |
| Memory Information | |
|---|---|
| Size | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1538
286.1 IPS |
|
|
Image Classification (HP)
|
100% |
1311
243.8 IPS |
|
|
Image Classification (Q)
|
100% |
2321
431.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1528
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1462
23.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3268
53.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3701
4.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
3631
4.24 IPS |
|
|
Pose Estimation (Q)
|
84% |
8919
10.6 IPS |
|
|
Object Detection (SP)
|
98% |
1196
95.2 IPS |
|
|
Object Detection (HP)
|
98% |
1149
91.5 IPS |
|
|
Object Detection (Q)
|
83% |
2682
216.6 IPS |
|
|
Face Detection (SP)
|
100% |
3025
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
3075
36.5 IPS |
|
|
Face Detection (Q)
|
95% |
6502
77.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3284
25.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3335
25.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
7128
65.3 IPS |
|
|
Style Transfer (SP)
|
89% |
7748
10.1 IPS |
|
|
Style Transfer (HP)
|
89% |
8021
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
16821
21.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1717
63.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1705
63.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3355
124.3 IPS |
|
|
Text Classification (SP)
|
100% |
639
852.5 IPS |
|
|
Text Classification (HP)
|
99% |
394
526.5 IPS |
|
|
Text Classification (Q)
|
88% |
658
887.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1060
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1061
18.3 IPS |
|
|
Machine Translation (Q)
|
50% |
414
14.7 IPS |
