vivo V2352A
Geekbench AI Score
1876
Single Precision Score
1891
Half Precision Score
3120
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 18 2025 04:51 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2352A |
| Model ID | vivo V2352A |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.01 GHz |
| Memory Information | |
|---|---|
| Size | 11.03 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1326
246.6 IPS |
|
|
Image Classification (HP)
|
100% |
1543
287.0 IPS |
|
|
Image Classification (Q)
|
100% |
2361
439.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1631
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1583
25.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2829
46.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3027
3.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
2937
3.43 IPS |
|
|
Pose Estimation (Q)
|
84% |
6501
7.71 IPS |
|
|
Object Detection (SP)
|
98% |
1354
107.8 IPS |
|
|
Object Detection (HP)
|
98% |
1369
108.9 IPS |
|
|
Object Detection (Q)
|
83% |
2215
178.9 IPS |
|
|
Face Detection (SP)
|
100% |
2738
32.5 IPS |
|
|
Face Detection (HP)
|
100% |
2779
33.0 IPS |
|
|
Face Detection (Q)
|
95% |
5489
65.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2715
21.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2665
20.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
5252
48.1 IPS |
|
|
Style Transfer (SP)
|
89% |
7439
9.66 IPS |
|
|
Style Transfer (HP)
|
89% |
7460
9.68 IPS |
|
|
Style Transfer (Q)
|
98% |
14340
18.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1531
56.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1495
55.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3640
134.9 IPS |
|
|
Text Classification (SP)
|
100% |
660
880.8 IPS |
|
|
Text Classification (HP)
|
99% |
677
903.2 IPS |
|
|
Text Classification (Q)
|
88% |
1058
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1095
18.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1065
18.3 IPS |
|
|
Machine Translation (Q)
|
50% |
572
20.3 IPS |
