vivo V2410A
Geekbench AI Score
352
Single Precision Score
603
Half Precision Score
546
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | January 14 2026 04:39 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
273
50.7 IPS |
|
|
Image Classification (HP)
|
100% |
424
78.9 IPS |
|
|
Image Classification (Q)
|
99% |
413
76.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
420
6.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
732
11.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
609
9.91 IPS |
|
|
Pose Estimation (SP)
|
100% |
1482
1.73 IPS |
|
|
Pose Estimation (HP)
|
99% |
2804
3.27 IPS |
|
|
Pose Estimation (Q)
|
97% |
2760
3.23 IPS |
|
|
Object Detection (SP)
|
100% |
227
18.0 IPS |
|
|
Object Detection (HP)
|
99% |
338
26.8 IPS |
|
|
Object Detection (Q)
|
85% |
322
25.9 IPS |
|
|
Face Detection (SP)
|
100% |
704
8.37 IPS |
|
|
Face Detection (HP)
|
100% |
1295
15.4 IPS |
|
|
Face Detection (Q)
|
97% |
1090
13.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
837
6.45 IPS |
|
|
Depth Estimation (HP)
|
98% |
1670
12.9 IPS |
|
|
Depth Estimation (Q)
|
65% |
1374
12.3 IPS |
|
|
Style Transfer (SP)
|
100% |
1679
2.16 IPS |
|
|
Style Transfer (HP)
|
100% |
3825
4.92 IPS |
|
|
Style Transfer (Q)
|
98% |
3788
4.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
390
14.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
660
24.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
629
23.3 IPS |
|
|
Text Classification (SP)
|
35% |
14
132.7 IPS |
|
|
Text Classification (HP)
|
35% |
24
214.3 IPS |
|
|
Text Classification (Q)
|
35% |
23
210.0 IPS |
|
|
Machine Translation (SP)
|
100% |
143
2.46 IPS |
|
|
Machine Translation (HP)
|
97% |
165
2.85 IPS |
|
|
Machine Translation (Q)
|
64% |
130
2.66 IPS |
