vivo V2410A
Geekbench AI Score
53
Single Precision Score
53
Half Precision Score
138
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | January 14 2026 05:50 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
31
5.69 IPS |
|
|
Image Classification (HP)
|
100% |
31
5.75 IPS |
|
|
Image Classification (Q)
|
99% |
93
17.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
41
0.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
41
0.67 IPS |
|
|
Image Segmentation (Q)
|
98% |
84
1.36 IPS |
|
|
Pose Estimation (SP)
|
100% |
49
0.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
49
0.06 IPS |
|
|
Pose Estimation (Q)
|
98% |
256
0.30 IPS |
|
|
Object Detection (SP)
|
100% |
32
2.51 IPS |
|
|
Object Detection (HP)
|
100% |
32
2.52 IPS |
|
|
Object Detection (Q)
|
87% |
104
8.35 IPS |
|
|
Face Detection (SP)
|
100% |
74
0.88 IPS |
|
|
Face Detection (HP)
|
100% |
74
0.88 IPS |
|
|
Face Detection (Q)
|
97% |
195
2.32 IPS |
|
|
Depth Estimation (SP)
|
100% |
67
0.52 IPS |
|
|
Depth Estimation (HP)
|
99% |
67
0.52 IPS |
|
|
Depth Estimation (Q)
|
64% |
175
1.59 IPS |
|
|
Style Transfer (SP)
|
100% |
132
0.17 IPS |
|
|
Style Transfer (HP)
|
100% |
131
0.17 IPS |
|
|
Style Transfer (Q)
|
98% |
367
0.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39
1.43 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39
1.43 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
141
5.22 IPS |
|
|
Text Classification (SP)
|
100% |
48
64.0 IPS |
|
|
Text Classification (HP)
|
100% |
49
65.9 IPS |
|
|
Text Classification (Q)
|
91% |
93
125.2 IPS |
|
|
Machine Translation (SP)
|
100% |
84
1.45 IPS |
|
|
Machine Translation (HP)
|
100% |
85
1.46 IPS |
|
|
Machine Translation (Q)
|
57% |
76
1.85 IPS |
