vivo V2510
Geekbench AI Score
874
Single Precision Score
1463
Half Precision Score
1130
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 02 2025 06:40 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2510 |
| Model ID | vivo V2510 |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3457 revision 1 |
| Base Frequency | 1.84 GHz |
| Cluster 1 | 3 Cores @ 1.84 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Cluster 3 | 1 Core @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 11.03 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
676
125.7 IPS |
|
|
Image Classification (HP)
|
100% |
1141
212.1 IPS |
|
|
Image Classification (Q)
|
100% |
635
118.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1008
16.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1796
29.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1495
24.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3890
4.54 IPS |
|
|
Pose Estimation (HP)
|
99% |
7432
8.70 IPS |
|
|
Pose Estimation (Q)
|
96% |
7180
8.41 IPS |
|
|
Object Detection (SP)
|
100% |
530
42.0 IPS |
|
|
Object Detection (HP)
|
99% |
876
69.5 IPS |
|
|
Object Detection (Q)
|
87% |
808
64.9 IPS |
|
|
Face Detection (SP)
|
100% |
1414
16.8 IPS |
|
|
Face Detection (HP)
|
100% |
2548
30.3 IPS |
|
|
Face Detection (Q)
|
97% |
2007
23.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2376
18.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
4323
33.4 IPS |
|
|
Depth Estimation (Q)
|
61% |
3232
31.8 IPS |
|
|
Style Transfer (SP)
|
100% |
4973
6.39 IPS |
|
|
Style Transfer (HP)
|
100% |
9781
12.6 IPS |
|
|
Style Transfer (Q)
|
98% |
9503
12.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1015
37.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1749
64.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1510
56.0 IPS |
|
|
Text Classification (SP)
|
35% |
32
309.2 IPS |
|
|
Text Classification (HP)
|
35% |
50
452.1 IPS |
|
|
Text Classification (Q)
|
33% |
43
512.4 IPS |
|
|
Machine Translation (SP)
|
100% |
343
5.91 IPS |
|
|
Machine Translation (HP)
|
97% |
358
6.18 IPS |
|
|
Machine Translation (Q)
|
43% |
155
8.80 IPS |
