vivo V2352A
Geekbench AI Score
1332
Single Precision Score
2135
Half Precision Score
1688
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 18 2025 05:02 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% |
978
181.8 IPS |
|
|
Image Classification (HP)
|
100% |
1368
254.5 IPS |
|
|
Image Classification (Q)
|
100% |
1288
239.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1864
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2923
47.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3200
52.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6940
8.10 IPS |
|
|
Pose Estimation (HP)
|
99% |
12208
14.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
11958
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
712
56.4 IPS |
|
|
Object Detection (HP)
|
99% |
987
78.3 IPS |
|
|
Object Detection (Q)
|
87% |
953
76.5 IPS |
|
|
Face Detection (SP)
|
100% |
2794
33.2 IPS |
|
|
Face Detection (HP)
|
100% |
4803
57.1 IPS |
|
|
Face Detection (Q)
|
97% |
4062
48.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3690
28.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
5816
44.9 IPS |
|
|
Depth Estimation (Q)
|
61% |
4411
43.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8488
10.9 IPS |
|
|
Style Transfer (HP)
|
100% |
18519
23.8 IPS |
|
|
Style Transfer (Q)
|
98% |
16045
20.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1582
58.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2646
97.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2648
98.2 IPS |
|
|
Text Classification (SP)
|
35% |
33
326.2 IPS |
|
|
Text Classification (HP)
|
35% |
45
408.6 IPS |
|
|
Text Classification (Q)
|
33% |
32
381.8 IPS |
|
|
Machine Translation (SP)
|
100% |
428
7.38 IPS |
|
|
Machine Translation (HP)
|
97% |
664
11.5 IPS |
|
|
Machine Translation (Q)
|
43% |
165
9.40 IPS |
