vivo V2429
Geekbench AI Score
2700
Single Precision Score
2704
Half Precision Score
4287
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 20 2025 12:28 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | vivo V2429 |
| Model ID | vivo V2429 |
| 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 | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 14.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1990
370.1 IPS |
|
|
Image Classification (HP)
|
100% |
2379
442.4 IPS |
|
|
Image Classification (Q)
|
100% |
3852
716.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2674
43.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2555
41.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4346
70.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4335
5.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
4169
4.86 IPS |
|
|
Pose Estimation (Q)
|
84% |
9752
11.6 IPS |
|
|
Object Detection (SP)
|
98% |
1972
156.9 IPS |
|
|
Object Detection (HP)
|
98% |
1962
156.1 IPS |
|
|
Object Detection (Q)
|
83% |
3103
250.6 IPS |
|
|
Face Detection (SP)
|
100% |
3992
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
3985
47.3 IPS |
|
|
Face Detection (Q)
|
95% |
6424
76.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3881
30.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4019
31.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
6786
62.2 IPS |
|
|
Style Transfer (SP)
|
89% |
9942
12.9 IPS |
|
|
Style Transfer (HP)
|
89% |
9972
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
19011
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2101
77.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2091
77.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4784
177.3 IPS |
|
|
Text Classification (SP)
|
100% |
875
1.17 KIPS |
|
|
Text Classification (HP)
|
99% |
784
1.05 KIPS |
|
|
Text Classification (Q)
|
88% |
1298
1.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
1604
27.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1606
27.7 IPS |
|
|
Machine Translation (Q)
|
50% |
806
28.6 IPS |
