vivo V2352A
Geekbench AI Score
1999
Single Precision Score
1985
Half Precision Score
3278
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 18 2025 04:36 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% |
1467
272.7 IPS |
|
|
Image Classification (HP)
|
100% |
1478
274.8 IPS |
|
|
Image Classification (Q)
|
100% |
2527
469.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1779
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1778
28.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3203
52.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3174
3.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
3099
3.62 IPS |
|
|
Pose Estimation (Q)
|
84% |
6874
8.15 IPS |
|
|
Object Detection (SP)
|
98% |
1535
122.2 IPS |
|
|
Object Detection (HP)
|
98% |
1482
117.9 IPS |
|
|
Object Detection (Q)
|
83% |
2176
175.8 IPS |
|
|
Face Detection (SP)
|
100% |
2863
34.0 IPS |
|
|
Face Detection (HP)
|
100% |
2796
33.2 IPS |
|
|
Face Detection (Q)
|
95% |
5826
69.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3086
23.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3122
24.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
5339
48.9 IPS |
|
|
Style Transfer (SP)
|
89% |
7628
9.90 IPS |
|
|
Style Transfer (HP)
|
89% |
7562
9.82 IPS |
|
|
Style Transfer (Q)
|
98% |
14713
19.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1542
56.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1564
57.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3774
139.8 IPS |
|
|
Text Classification (SP)
|
100% |
691
922.6 IPS |
|
|
Text Classification (HP)
|
99% |
700
933.9 IPS |
|
|
Text Classification (Q)
|
88% |
1142
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1116
19.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1090
18.8 IPS |
|
|
Machine Translation (Q)
|
50% |
601
21.3 IPS |
