vivo V2410A
Geekbench AI Score
54
Single Precision Score
54
Half Precision Score
7196
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | January 14 2026 06:56 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | vivo V2410A |
| Model ID | vivo V2410A |
| Motherboard | parrot |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 7.24 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
30
5.63 IPS |
|
|
Image Classification (HP)
|
100% |
30
5.67 IPS |
|
|
Image Classification (Q)
|
97% |
6775
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
41
0.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
41
0.66 IPS |
|
|
Image Segmentation (Q)
|
98% |
5324
86.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
49
0.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
49
0.06 IPS |
|
|
Pose Estimation (Q)
|
98% |
21191
24.8 IPS |
|
|
Object Detection (SP)
|
100% |
32
2.51 IPS |
|
|
Object Detection (HP)
|
100% |
32
2.52 IPS |
|
|
Object Detection (Q)
|
86% |
3220
258.9 IPS |
|
|
Face Detection (SP)
|
100% |
73
0.87 IPS |
|
|
Face Detection (HP)
|
100% |
74
0.88 IPS |
|
|
Face Detection (Q)
|
97% |
15418
183.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
67
0.52 IPS |
|
|
Depth Estimation (HP)
|
99% |
67
0.52 IPS |
|
|
Depth Estimation (Q)
|
63% |
15751
147.5 IPS |
|
|
Style Transfer (SP)
|
100% |
131
0.17 IPS |
|
|
Style Transfer (HP)
|
100% |
131
0.17 IPS |
|
|
Style Transfer (Q)
|
98% |
45776
59.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39
1.44 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39
1.43 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
10528
390.1 IPS |
|
|
Text Classification (SP)
|
100% |
52
68.8 IPS |
|
|
Text Classification (HP)
|
100% |
51
68.6 IPS |
|
|
Text Classification (Q)
|
93% |
2372
3.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
87
1.50 IPS |
|
|
Machine Translation (HP)
|
100% |
86
1.48 IPS |
|
|
Machine Translation (Q)
|
55% |
545
14.3 IPS |
