vivo V2408A
Geekbench AI Score
1055
Single Precision Score
1928
Half Precision Score
1754
Quantized Score
Geekbench AI 1.1.0-Beta2 Corporate for Android AArch64
Result Information
| User | wudi890 |
| Upload Date | January 15 2025 08:11 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
707
131.6 IPS |
|
|
Image Classification (HP)
|
100% |
1143
212.6 IPS |
|
|
Image Classification (Q)
|
99% |
926
172.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1550
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3578
58.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3837
62.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1649
1.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
2792
3.26 IPS |
|
|
Pose Estimation (Q)
|
96% |
2773
3.25 IPS |
|
|
Object Detection (SP)
|
100% |
396
31.4 IPS |
|
|
Object Detection (HP)
|
100% |
916
72.7 IPS |
|
|
Object Detection (Q)
|
86% |
874
70.2 IPS |
|
|
Face Detection (SP)
|
100% |
2213
26.3 IPS |
|
|
Face Detection (HP)
|
100% |
4551
54.1 IPS |
|
|
Face Detection (Q)
|
97% |
2239
26.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1176
9.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
3089
23.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
2526
23.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3771
4.85 IPS |
|
|
Style Transfer (HP)
|
100% |
8251
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
8285
10.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
581
21.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1385
51.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1416
52.5 IPS |
|
|
Text Classification (SP)
|
100% |
504
673.1 IPS |
|
|
Text Classification (HP)
|
100% |
505
674.2 IPS |
|
|
Text Classification (Q)
|
91% |
779
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
831
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
838
14.4 IPS |
|
|
Machine Translation (Q)
|
57% |
621
15.2 IPS |
