vivo V2408A
Geekbench AI Score
349
Single Precision Score
25435
Half Precision Score
56673
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 06 2025 04:58 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2408A |
| Model ID | vivo V2408A |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.32 GHz |
| Memory Information | |
|---|---|
| Size | 14.76 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
210
39.1 IPS |
|
|
Image Classification (HP)
|
100% |
19243
3.58 KIPS |
|
|
Image Classification (Q)
|
97% |
45763
8.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
280
4.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
13146
213.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
38757
630.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
360
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
120294
140.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
472810
553.4 IPS |
|
|
Object Detection (SP)
|
100% |
212
16.8 IPS |
|
|
Object Detection (HP)
|
100% |
17954
1.42 KIPS |
|
|
Object Detection (Q)
|
85% |
20492
1.65 KIPS |
|
|
Face Detection (SP)
|
100% |
577
6.85 IPS |
|
|
Face Detection (HP)
|
100% |
37966
451.1 IPS |
|
|
Face Detection (Q)
|
97% |
120416
1.44 KIPS |
|
|
Depth Estimation (SP)
|
100% |
497
3.83 IPS |
|
|
Depth Estimation (HP)
|
99% |
76415
588.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
133357
1.23 KIPS |
|
|
Style Transfer (SP)
|
100% |
767
0.99 IPS |
|
|
Style Transfer (HP)
|
98% |
97725
126.0 IPS |
|
|
Style Transfer (Q)
|
98% |
486515
627.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
217
8.01 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50704
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
123931
4.59 KIPS |
|
|
Text Classification (SP)
|
100% |
272
362.9 IPS |
|
|
Text Classification (HP)
|
100% |
3860
5.15 KIPS |
|
|
Text Classification (Q)
|
93% |
7785
10.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
470
8.09 IPS |
|
|
Machine Translation (HP)
|
100% |
3739
64.4 IPS |
|
|
Machine Translation (Q)
|
56% |
2639
68.0 IPS |
