vivo V2429
Geekbench AI Score
1688
Single Precision Score
1743
Half Precision Score
2543
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 09 2025 03:35 PM |
| Views | 5 |
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% |
1060
197.2 IPS |
|
|
Image Classification (HP)
|
100% |
1401
260.6 IPS |
|
|
Image Classification (Q)
|
100% |
1868
347.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1565
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1567
25.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2378
38.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2901
3.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
2626
3.06 IPS |
|
|
Pose Estimation (Q)
|
84% |
5707
6.77 IPS |
|
|
Object Detection (SP)
|
98% |
1130
89.9 IPS |
|
|
Object Detection (HP)
|
98% |
1301
103.6 IPS |
|
|
Object Detection (Q)
|
83% |
1813
146.4 IPS |
|
|
Face Detection (SP)
|
100% |
2685
31.9 IPS |
|
|
Face Detection (HP)
|
100% |
2699
32.1 IPS |
|
|
Face Detection (Q)
|
95% |
3995
47.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
2440
18.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2432
18.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
4158
38.1 IPS |
|
|
Style Transfer (SP)
|
89% |
6372
8.27 IPS |
|
|
Style Transfer (HP)
|
89% |
6372
8.27 IPS |
|
|
Style Transfer (Q)
|
98% |
11652
15.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1314
48.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1318
48.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2881
106.8 IPS |
|
|
Text Classification (SP)
|
100% |
530
707.1 IPS |
|
|
Text Classification (HP)
|
99% |
535
714.3 IPS |
|
|
Text Classification (Q)
|
88% |
814
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1192
20.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1174
20.2 IPS |
|
|
Machine Translation (Q)
|
50% |
544
19.3 IPS |
