vivo V2520A
Geekbench AI Score
1897
Single Precision Score
2855
Half Precision Score
2385
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 17 2025 05:09 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1254
233.2 IPS |
|
|
Image Classification (HP)
|
100% |
1623
301.7 IPS |
|
|
Image Classification (Q)
|
100% |
1559
290.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2338
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4020
65.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3340
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9265
10.8 IPS |
|
|
Pose Estimation (HP)
|
99% |
16635
19.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16318
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
1137
90.2 IPS |
|
|
Object Detection (HP)
|
99% |
1425
113.1 IPS |
|
|
Object Detection (Q)
|
85% |
1451
116.8 IPS |
|
|
Face Detection (SP)
|
100% |
4142
49.2 IPS |
|
|
Face Detection (HP)
|
100% |
6387
75.9 IPS |
|
|
Face Detection (Q)
|
97% |
5730
68.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4669
36.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
6984
54.0 IPS |
|
|
Depth Estimation (Q)
|
61% |
5245
51.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11431
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
25735
33.1 IPS |
|
|
Style Transfer (Q)
|
98% |
25132
32.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2514
92.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4137
152.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4089
151.6 IPS |
|
|
Text Classification (SP)
|
35% |
49
474.3 IPS |
|
|
Text Classification (HP)
|
35% |
49
442.5 IPS |
|
|
Text Classification (Q)
|
33% |
39
439.5 IPS |
|
|
Machine Translation (SP)
|
100% |
719
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1002
17.3 IPS |
|
|
Machine Translation (Q)
|
48% |
402
15.4 IPS |
