vivo V2352A
Geekbench AI Score
1157
Single Precision Score
1861
Half Precision Score
1474
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 18 2025 04:40 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
639
118.9 IPS |
|
|
Image Classification (HP)
|
100% |
933
173.6 IPS |
|
|
Image Classification (Q)
|
100% |
1159
215.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1860
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2965
48.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2187
35.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6941
8.10 IPS |
|
|
Pose Estimation (HP)
|
99% |
12561
14.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
11801
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
485
38.5 IPS |
|
|
Object Detection (HP)
|
99% |
630
49.9 IPS |
|
|
Object Detection (Q)
|
87% |
582
46.8 IPS |
|
|
Face Detection (SP)
|
100% |
2702
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
5151
61.2 IPS |
|
|
Face Detection (Q)
|
97% |
4084
48.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3676
28.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
5922
45.8 IPS |
|
|
Depth Estimation (Q)
|
61% |
4456
43.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8579
11.0 IPS |
|
|
Style Transfer (HP)
|
100% |
16471
21.2 IPS |
|
|
Style Transfer (Q)
|
98% |
16163
20.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
914
33.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1538
56.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1497
55.5 IPS |
|
|
Text Classification (SP)
|
35% |
29
283.0 IPS |
|
|
Text Classification (HP)
|
35% |
45
413.4 IPS |
|
|
Text Classification (Q)
|
33% |
39
464.7 IPS |
|
|
Machine Translation (SP)
|
100% |
476
8.21 IPS |
|
|
Machine Translation (HP)
|
97% |
658
11.4 IPS |
|
|
Machine Translation (Q)
|
43% |
163
9.25 IPS |
