vivo V2429
Geekbench AI Score
2221
Single Precision Score
2203
Half Precision Score
3267
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 17 2025 02:25 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
1954
363.5 IPS |
|
|
Image Classification (HP)
|
100% |
1961
364.7 IPS |
|
|
Image Classification (Q)
|
100% |
2897
538.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2165
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2157
35.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3245
52.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3981
4.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
3434
4.01 IPS |
|
|
Pose Estimation (Q)
|
84% |
7812
9.26 IPS |
|
|
Object Detection (SP)
|
98% |
1727
137.4 IPS |
|
|
Object Detection (HP)
|
98% |
1717
136.6 IPS |
|
|
Object Detection (Q)
|
83% |
2363
190.9 IPS |
|
|
Face Detection (SP)
|
100% |
3253
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
3393
40.3 IPS |
|
|
Face Detection (Q)
|
95% |
5333
63.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3254
25.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3379
26.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
5459
50.0 IPS |
|
|
Style Transfer (SP)
|
89% |
8354
10.8 IPS |
|
|
Style Transfer (HP)
|
89% |
8379
10.9 IPS |
|
|
Style Transfer (Q)
|
98% |
15797
20.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1404
51.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1444
53.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3315
122.8 IPS |
|
|
Text Classification (SP)
|
100% |
609
813.5 IPS |
|
|
Text Classification (HP)
|
99% |
584
780.0 IPS |
|
|
Text Classification (Q)
|
88% |
904
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1334
23.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1337
23.0 IPS |
|
|
Machine Translation (Q)
|
50% |
580
20.6 IPS |
