vivo V2531
Geekbench AI Score
364
Single Precision Score
362
Half Precision Score
731
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 16 2025 08:57 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2531 |
| Model ID | vivo V2531 |
| Motherboard | ums9230_arm64 |
| Governor | uscfreq |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.82 GHz |
| Cluster 1 | 8 Cores @ 1.82 GHz |
| Memory Information | |
|---|---|
| Size | 5.62 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
179
33.4 IPS |
|
|
Image Classification (HP)
|
100% |
190
35.4 IPS |
|
|
Image Classification (Q)
|
100% |
491
91.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
232
3.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
226
3.66 IPS |
|
|
Image Segmentation (Q)
|
98% |
647
10.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
831
0.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
836
0.97 IPS |
|
|
Pose Estimation (Q)
|
84% |
1490
1.77 IPS |
|
|
Object Detection (SP)
|
100% |
209
16.6 IPS |
|
|
Object Detection (HP)
|
100% |
210
16.6 IPS |
|
|
Object Detection (Q)
|
83% |
504
40.7 IPS |
|
|
Face Detection (SP)
|
100% |
465
5.53 IPS |
|
|
Face Detection (HP)
|
100% |
450
5.34 IPS |
|
|
Face Detection (Q)
|
95% |
1216
14.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
559
4.31 IPS |
|
|
Depth Estimation (HP)
|
99% |
419
3.23 IPS |
|
|
Depth Estimation (Q)
|
64% |
1349
12.4 IPS |
|
|
Style Transfer (SP)
|
89% |
1613
2.09 IPS |
|
|
Style Transfer (HP)
|
89% |
1641
2.13 IPS |
|
|
Style Transfer (Q)
|
98% |
3531
4.55 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
244
9.01 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
328
12.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
807
29.9 IPS |
|
|
Text Classification (SP)
|
100% |
190
254.1 IPS |
|
|
Text Classification (HP)
|
100% |
178
237.7 IPS |
|
|
Text Classification (Q)
|
88% |
257
346.9 IPS |
|
|
Machine Translation (SP)
|
100% |
292
5.03 IPS |
|
|
Machine Translation (HP)
|
100% |
285
4.91 IPS |
|
|
Machine Translation (Q)
|
50% |
153
5.42 IPS |
