vivo V2454A
Geekbench AI Score
547
Single Precision Score
540
Half Precision Score
1222
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 11 2026 04:08 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 14.79 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
326
60.7 IPS |
|
|
Image Classification (HP)
|
100% |
330
61.3 IPS |
|
|
Image Classification (Q)
|
99% |
865
161.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
431
6.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
427
6.92 IPS |
|
|
Image Segmentation (Q)
|
98% |
842
13.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
608
0.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
607
0.71 IPS |
|
|
Pose Estimation (Q)
|
98% |
2351
2.75 IPS |
|
|
Object Detection (SP)
|
100% |
330
26.1 IPS |
|
|
Object Detection (HP)
|
100% |
332
26.4 IPS |
|
|
Object Detection (Q)
|
87% |
972
78.0 IPS |
|
|
Face Detection (SP)
|
100% |
844
10.0 IPS |
|
|
Face Detection (HP)
|
100% |
852
10.1 IPS |
|
|
Face Detection (Q)
|
97% |
1953
23.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
750
5.78 IPS |
|
|
Depth Estimation (HP)
|
99% |
752
5.79 IPS |
|
|
Depth Estimation (Q)
|
64% |
1792
16.3 IPS |
|
|
Style Transfer (SP)
|
100% |
1335
1.72 IPS |
|
|
Style Transfer (HP)
|
100% |
1165
1.50 IPS |
|
|
Style Transfer (Q)
|
98% |
3031
3.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
328
12.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
329
12.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1179
43.7 IPS |
|
|
Text Classification (SP)
|
100% |
430
573.4 IPS |
|
|
Text Classification (HP)
|
100% |
428
571.6 IPS |
|
|
Text Classification (Q)
|
91% |
665
894.1 IPS |
|
|
Machine Translation (SP)
|
100% |
721
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
715
12.3 IPS |
|
|
Machine Translation (Q)
|
57% |
539
13.2 IPS |
