vivo V2429
Geekbench AI Score
260
Single Precision Score
262
Half Precision Score
596
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 12 2025 09:26 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
168
31.3 IPS |
|
|
Image Classification (HP)
|
100% |
171
31.7 IPS |
|
|
Image Classification (Q)
|
99% |
430
80.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
170
2.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
171
2.77 IPS |
|
|
Image Segmentation (Q)
|
98% |
434
7.06 IPS |
|
|
Pose Estimation (SP)
|
100% |
306
0.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
306
0.36 IPS |
|
|
Pose Estimation (Q)
|
98% |
1143
1.34 IPS |
|
|
Object Detection (SP)
|
100% |
126
9.96 IPS |
|
|
Object Detection (HP)
|
100% |
169
13.4 IPS |
|
|
Object Detection (Q)
|
87% |
342
27.4 IPS |
|
|
Face Detection (SP)
|
100% |
437
5.20 IPS |
|
|
Face Detection (HP)
|
100% |
446
5.30 IPS |
|
|
Face Detection (Q)
|
97% |
977
11.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
384
2.96 IPS |
|
|
Depth Estimation (HP)
|
99% |
385
2.96 IPS |
|
|
Depth Estimation (Q)
|
64% |
865
7.85 IPS |
|
|
Style Transfer (SP)
|
100% |
542
0.70 IPS |
|
|
Style Transfer (HP)
|
100% |
542
0.70 IPS |
|
|
Style Transfer (Q)
|
98% |
1488
1.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
141
5.21 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
141
5.21 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
481
17.8 IPS |
|
|
Text Classification (SP)
|
100% |
246
328.5 IPS |
|
|
Text Classification (HP)
|
100% |
247
329.2 IPS |
|
|
Text Classification (Q)
|
91% |
401
538.7 IPS |
|
|
Machine Translation (SP)
|
100% |
421
7.26 IPS |
|
|
Machine Translation (HP)
|
100% |
313
5.39 IPS |
|
|
Machine Translation (Q)
|
57% |
323
7.89 IPS |
