vivo V2430
Geekbench AI Score
145
Single Precision Score
155
Half Precision Score
168
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 03 2025 01:24 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2430 |
| Model ID | vivo V2430 |
| Motherboard | ums9230_arm64 |
| Governor | uscfreq |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.82 GHz |
| Cluster 1 | 8 Cores @ 1.82 GHz |
| Memory Information | |
|---|---|
| Size | 3.66 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
80
14.8 IPS |
|
|
Image Classification (HP)
|
100% |
120
22.4 IPS |
|
|
Image Classification (Q)
|
97% |
117
21.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
105
1.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
156
2.53 IPS |
|
|
Image Segmentation (Q)
|
98% |
155
2.52 IPS |
|
|
Pose Estimation (SP)
|
100% |
462
0.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
226
0.26 IPS |
|
|
Pose Estimation (Q)
|
96% |
444
0.52 IPS |
|
|
Object Detection (SP)
|
100% |
79
6.26 IPS |
|
|
Object Detection (HP)
|
99% |
124
9.86 IPS |
|
|
Object Detection (Q)
|
86% |
112
8.97 IPS |
|
|
Face Detection (SP)
|
100% |
250
2.97 IPS |
|
|
Face Detection (HP)
|
100% |
336
3.99 IPS |
|
|
Face Detection (Q)
|
97% |
234
2.79 IPS |
|
|
Depth Estimation (SP)
|
100% |
359
2.77 IPS |
|
|
Depth Estimation (HP)
|
98% |
313
2.42 IPS |
|
|
Depth Estimation (Q)
|
65% |
363
3.24 IPS |
|
|
Style Transfer (SP)
|
100% |
359
0.46 IPS |
|
|
Style Transfer (HP)
|
100% |
183
0.24 IPS |
|
|
Style Transfer (Q)
|
98% |
570
0.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
207
7.66 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
133
4.91 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
222
8.21 IPS |
|
|
Text Classification (SP)
|
100% |
29
38.9 IPS |
|
|
Text Classification (HP)
|
100% |
59
79.0 IPS |
|
|
Text Classification (Q)
|
93% |
35
46.3 IPS |
|
|
Machine Translation (SP)
|
100% |
74
1.27 IPS |
|
|
Machine Translation (HP)
|
100% |
104
1.78 IPS |
|
|
Machine Translation (Q)
|
55% |
56
1.48 IPS |
