vivo V2454DA
Geekbench AI Score
563
Single Precision Score
553
Half Precision Score
1242
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 21 2025 03:03 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
368
68.5 IPS |
|
|
Image Classification (HP)
|
100% |
374
69.5 IPS |
|
|
Image Classification (Q)
|
99% |
985
183.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
489
7.92 IPS |
|
|
Image Segmentation (HP)
|
100% |
489
7.93 IPS |
|
|
Image Segmentation (Q)
|
98% |
964
15.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
687
0.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
611
0.71 IPS |
|
|
Pose Estimation (Q)
|
98% |
2369
2.77 IPS |
|
|
Object Detection (SP)
|
100% |
332
26.3 IPS |
|
|
Object Detection (HP)
|
100% |
332
26.4 IPS |
|
|
Object Detection (Q)
|
87% |
975
78.2 IPS |
|
|
Face Detection (SP)
|
100% |
868
10.3 IPS |
|
|
Face Detection (HP)
|
100% |
870
10.3 IPS |
|
|
Face Detection (Q)
|
97% |
1968
23.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
722
5.56 IPS |
|
|
Depth Estimation (HP)
|
99% |
656
5.06 IPS |
|
|
Depth Estimation (Q)
|
64% |
1529
13.9 IPS |
|
|
Style Transfer (SP)
|
100% |
1180
1.52 IPS |
|
|
Style Transfer (HP)
|
100% |
1175
1.51 IPS |
|
|
Style Transfer (Q)
|
98% |
3057
3.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
339
12.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
339
12.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1202
44.5 IPS |
|
|
Text Classification (SP)
|
100% |
434
579.6 IPS |
|
|
Text Classification (HP)
|
100% |
435
580.5 IPS |
|
|
Text Classification (Q)
|
91% |
670
900.1 IPS |
|
|
Machine Translation (SP)
|
100% |
725
12.5 IPS |
|
|
Machine Translation (HP)
|
100% |
730
12.6 IPS |
|
|
Machine Translation (Q)
|
57% |
540
13.2 IPS |
