vivo V2505A
Geekbench AI Score
502
Single Precision Score
499
Half Precision Score
1122
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | January 06 2026 08:21 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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 revision 1 |
| 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% |
304
56.5 IPS |
|
|
Image Classification (HP)
|
100% |
305
56.7 IPS |
|
|
Image Classification (Q)
|
99% |
801
149.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
402
6.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
404
6.55 IPS |
|
|
Image Segmentation (Q)
|
98% |
754
12.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
540
0.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
502
0.59 IPS |
|
|
Pose Estimation (Q)
|
98% |
1926
2.26 IPS |
|
|
Object Detection (SP)
|
100% |
279
22.1 IPS |
|
|
Object Detection (HP)
|
100% |
279
22.1 IPS |
|
|
Object Detection (Q)
|
87% |
823
66.0 IPS |
|
|
Face Detection (SP)
|
100% |
770
9.15 IPS |
|
|
Face Detection (HP)
|
100% |
772
9.17 IPS |
|
|
Face Detection (Q)
|
97% |
1741
20.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
652
5.02 IPS |
|
|
Depth Estimation (HP)
|
99% |
651
5.02 IPS |
|
|
Depth Estimation (Q)
|
64% |
1504
13.6 IPS |
|
|
Style Transfer (SP)
|
100% |
1162
1.49 IPS |
|
|
Style Transfer (HP)
|
100% |
1160
1.49 IPS |
|
|
Style Transfer (Q)
|
98% |
3064
3.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
327
12.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
326
12.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1134
42.0 IPS |
|
|
Text Classification (SP)
|
100% |
409
545.4 IPS |
|
|
Text Classification (HP)
|
100% |
410
546.9 IPS |
|
|
Text Classification (Q)
|
91% |
658
884.2 IPS |
|
|
Machine Translation (SP)
|
100% |
718
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
722
12.4 IPS |
|
|
Machine Translation (Q)
|
57% |
556
13.6 IPS |
