vivo V2405A
Geekbench AI Score
2230
Single Precision Score
2223
Half Precision Score
3199
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 03:00 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | vivo V2405A |
| Model ID | vivo V2405A |
| Motherboard | k6991v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3461 revision 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 Cores @ 2.40 GHz |
| Cluster 2 | 3 Cores @ 3.30 GHz |
| Cluster 3 | 1 Core @ 3.63 GHz |
| Memory Information | |
|---|---|
| Size | 14.99 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1623
301.8 IPS |
|
|
Image Classification (HP)
|
100% |
1717
319.3 IPS |
|
|
Image Classification (Q)
|
100% |
2588
481.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2127
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2071
33.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2863
46.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3528
4.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
3332
3.89 IPS |
|
|
Pose Estimation (Q)
|
84% |
6357
7.54 IPS |
|
|
Object Detection (SP)
|
98% |
1420
113.0 IPS |
|
|
Object Detection (HP)
|
98% |
1370
109.0 IPS |
|
|
Object Detection (Q)
|
83% |
2307
186.3 IPS |
|
|
Face Detection (SP)
|
100% |
3112
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
3096
36.8 IPS |
|
|
Face Detection (Q)
|
95% |
5172
61.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3790
29.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3787
29.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
5341
48.9 IPS |
|
|
Style Transfer (SP)
|
89% |
7660
9.94 IPS |
|
|
Style Transfer (HP)
|
89% |
7631
9.91 IPS |
|
|
Style Transfer (Q)
|
98% |
13303
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1652
61.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1636
60.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3196
118.4 IPS |
|
|
Text Classification (SP)
|
100% |
706
941.7 IPS |
|
|
Text Classification (HP)
|
99% |
706
941.8 IPS |
|
|
Text Classification (Q)
|
88% |
1177
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
1670
28.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1758
30.3 IPS |
|
|
Machine Translation (Q)
|
50% |
749
26.6 IPS |
