vivo V2505A
Geekbench AI Score
440
Single Precision Score
31602
Half Precision Score
78105
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 25 2026 06:37 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | vivo V2505A |
| Model ID | vivo V2505A |
| Motherboard | canoe |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 2 |
| Base Frequency | 3.63 GHz |
| Cluster 1 | 6 Cores @ 3.63 GHz |
| Cluster 2 | 2 Cores @ 4.61 GHz |
| Memory Information | |
|---|---|
| Size | 14.87 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
283
52.6 IPS |
|
|
Image Classification (HP)
|
100% |
24915
4.63 KIPS |
|
|
Image Classification (Q)
|
96% |
50692
9.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
374
6.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
16343
264.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
61781
1.00 KIPS |
|
|
Pose Estimation (SP)
|
100% |
503
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
162439
189.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
624710
731.2 IPS |
|
|
Object Detection (SP)
|
100% |
244
19.4 IPS |
|
|
Object Detection (HP)
|
100% |
23741
1.88 KIPS |
|
|
Object Detection (Q)
|
85% |
31515
2.54 KIPS |
|
|
Face Detection (SP)
|
100% |
685
8.14 IPS |
|
|
Face Detection (HP)
|
100% |
47158
560.3 IPS |
|
|
Face Detection (Q)
|
97% |
149212
1.78 KIPS |
|
|
Depth Estimation (SP)
|
100% |
572
4.41 IPS |
|
|
Depth Estimation (HP)
|
99% |
92227
710.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
201291
1.87 KIPS |
|
|
Style Transfer (SP)
|
100% |
1034
1.33 IPS |
|
|
Style Transfer (HP)
|
100% |
97945
125.9 IPS |
|
|
Style Transfer (Q)
|
98% |
591692
763.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
267
9.85 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55491
2.05 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
170067
6.30 KIPS |
|
|
Text Classification (SP)
|
100% |
328
437.2 IPS |
|
|
Text Classification (HP)
|
100% |
4293
5.73 KIPS |
|
|
Text Classification (Q)
|
93% |
10535
14.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
597
10.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6236
107.4 IPS |
|
|
Machine Translation (Q)
|
56% |
4304
110.9 IPS |
