vivo V2454A
Geekbench AI Score
458
Single Precision Score
460
Half Precision Score
1027
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 02 2025 02:50 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2454A |
| Model ID | vivo V2454A |
| 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% |
260
48.4 IPS |
|
|
Image Classification (HP)
|
100% |
265
49.2 IPS |
|
|
Image Classification (Q)
|
99% |
672
125.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
344
5.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
344
5.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
665
10.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
478
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
479
0.56 IPS |
|
|
Pose Estimation (Q)
|
98% |
1817
2.13 IPS |
|
|
Object Detection (SP)
|
100% |
258
20.5 IPS |
|
|
Object Detection (HP)
|
100% |
259
20.5 IPS |
|
|
Object Detection (Q)
|
87% |
774
62.0 IPS |
|
|
Face Detection (SP)
|
100% |
701
8.32 IPS |
|
|
Face Detection (HP)
|
100% |
702
8.34 IPS |
|
|
Face Detection (Q)
|
97% |
1564
18.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
601
4.63 IPS |
|
|
Depth Estimation (HP)
|
99% |
602
4.64 IPS |
|
|
Depth Estimation (Q)
|
64% |
1398
12.7 IPS |
|
|
Style Transfer (SP)
|
100% |
1097
1.41 IPS |
|
|
Style Transfer (HP)
|
100% |
1092
1.40 IPS |
|
|
Style Transfer (Q)
|
98% |
2826
3.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
307
11.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
307
11.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1105
40.9 IPS |
|
|
Text Classification (SP)
|
100% |
397
529.4 IPS |
|
|
Text Classification (HP)
|
100% |
401
535.3 IPS |
|
|
Text Classification (Q)
|
91% |
617
829.4 IPS |
|
|
Machine Translation (SP)
|
100% |
664
11.4 IPS |
|
|
Machine Translation (HP)
|
100% |
671
11.6 IPS |
|
|
Machine Translation (Q)
|
57% |
496
12.1 IPS |
