vivo V2454DA
Geekbench AI Score
928
Single Precision Score
1692
Half Precision Score
1673
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 21 2025 03:08 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2454DA |
| Model ID | vivo V2454DA |
| 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 | 14.81 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
516
95.9 IPS |
|
|
Image Classification (HP)
|
100% |
1001
186.2 IPS |
|
|
Image Classification (Q)
|
99% |
1129
210.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1198
19.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2361
38.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2176
35.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1064
1.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
1871
2.18 IPS |
|
|
Pose Estimation (Q)
|
96% |
1870
2.19 IPS |
|
|
Object Detection (SP)
|
100% |
399
31.6 IPS |
|
|
Object Detection (HP)
|
100% |
934
74.1 IPS |
|
|
Object Detection (Q)
|
86% |
931
74.8 IPS |
|
|
Face Detection (SP)
|
100% |
2220
26.4 IPS |
|
|
Face Detection (HP)
|
100% |
3970
47.2 IPS |
|
|
Face Detection (Q)
|
97% |
3731
44.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1177
9.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
3078
23.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
2560
23.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3770
4.85 IPS |
|
|
Style Transfer (HP)
|
100% |
8240
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
8150
10.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
590
21.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1474
54.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1430
53.0 IPS |
|
|
Text Classification (SP)
|
100% |
434
579.9 IPS |
|
|
Text Classification (HP)
|
100% |
435
580.9 IPS |
|
|
Text Classification (Q)
|
91% |
670
900.5 IPS |
|
|
Machine Translation (SP)
|
100% |
720
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
725
12.5 IPS |
|
|
Machine Translation (Q)
|
57% |
540
13.2 IPS |
