vivo V2352GA
Geekbench AI Score
1027
Single Precision Score
1009
Half Precision Score
1470
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 10 2025 04:22 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2352GA |
| Model ID | vivo V2352GA |
| 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% |
1286
239.1 IPS |
|
|
Image Classification (HP)
|
100% |
500
93.1 IPS |
|
|
Image Classification (Q)
|
100% |
968
180.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
649
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
597
9.68 IPS |
|
|
Image Segmentation (Q)
|
98% |
1085
17.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2857
3.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
2933
3.42 IPS |
|
|
Pose Estimation (Q)
|
84% |
3088
3.66 IPS |
|
|
Object Detection (SP)
|
98% |
514
40.9 IPS |
|
|
Object Detection (HP)
|
98% |
922
73.4 IPS |
|
|
Object Detection (Q)
|
83% |
1231
99.4 IPS |
|
|
Face Detection (SP)
|
100% |
1046
12.4 IPS |
|
|
Face Detection (HP)
|
100% |
1016
12.1 IPS |
|
|
Face Detection (Q)
|
95% |
2166
25.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
1437
11.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1327
10.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
3255
29.8 IPS |
|
|
Style Transfer (SP)
|
89% |
2818
3.66 IPS |
|
|
Style Transfer (HP)
|
89% |
7619
9.89 IPS |
|
|
Style Transfer (Q)
|
98% |
5394
6.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1309
48.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
751
27.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1376
51.0 IPS |
|
|
Text Classification (SP)
|
100% |
306
408.4 IPS |
|
|
Text Classification (HP)
|
99% |
312
416.2 IPS |
|
|
Text Classification (Q)
|
88% |
588
793.5 IPS |
|
|
Machine Translation (SP)
|
100% |
633
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
565
9.73 IPS |
|
|
Machine Translation (Q)
|
50% |
384
13.6 IPS |
