vivo V2454A
Geekbench AI Score
2535
Single Precision Score
3843
Half Precision Score
3458
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 11 2026 04:13 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1456
270.7 IPS |
|
|
Image Classification (HP)
|
100% |
2175
404.4 IPS |
|
|
Image Classification (Q)
|
100% |
2374
441.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2883
46.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4655
75.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5598
91.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
12877
15.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
23392
27.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
22885
26.8 IPS |
|
|
Object Detection (SP)
|
100% |
1506
119.5 IPS |
|
|
Object Detection (HP)
|
99% |
1903
150.9 IPS |
|
|
Object Detection (Q)
|
85% |
1859
149.7 IPS |
|
|
Face Detection (SP)
|
100% |
5122
60.9 IPS |
|
|
Face Detection (HP)
|
100% |
8110
96.4 IPS |
|
|
Face Detection (Q)
|
97% |
8468
101.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6482
49.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
9105
70.4 IPS |
|
|
Depth Estimation (Q)
|
61% |
7030
68.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16037
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34802
44.7 IPS |
|
|
Style Transfer (Q)
|
98% |
33916
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3345
123.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5366
198.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5654
209.5 IPS |
|
|
Text Classification (SP)
|
35% |
72
698.5 IPS |
|
|
Text Classification (HP)
|
35% |
72
651.2 IPS |
|
|
Text Classification (Q)
|
33% |
57
638.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1054
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1573
27.1 IPS |
|
|
Machine Translation (Q)
|
48% |
666
25.6 IPS |
