vivo V2454A
Geekbench AI Score
2533
Single Precision Score
3549
Half Precision Score
3374
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 11 2026 04:13 PM |
| Views | 2 |
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% |
1490
277.0 IPS |
|
|
Image Classification (HP)
|
100% |
916
170.3 IPS |
|
|
Image Classification (Q)
|
100% |
2348
436.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2937
47.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4672
75.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5902
96.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
12860
15.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
23191
27.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
22830
26.8 IPS |
|
|
Object Detection (SP)
|
100% |
1470
116.6 IPS |
|
|
Object Detection (HP)
|
99% |
1948
154.5 IPS |
|
|
Object Detection (Q)
|
85% |
1810
145.7 IPS |
|
|
Face Detection (SP)
|
100% |
5077
60.3 IPS |
|
|
Face Detection (HP)
|
100% |
8207
97.5 IPS |
|
|
Face Detection (Q)
|
97% |
7291
86.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6550
50.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
8934
69.1 IPS |
|
|
Depth Estimation (Q)
|
61% |
6913
67.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16211
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
34965
44.9 IPS |
|
|
Style Transfer (Q)
|
98% |
34518
44.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3385
125.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5398
199.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5118
189.7 IPS |
|
|
Text Classification (SP)
|
35% |
69
676.1 IPS |
|
|
Text Classification (HP)
|
35% |
77
700.8 IPS |
|
|
Text Classification (Q)
|
33% |
57
641.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1045
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1542
26.6 IPS |
|
|
Machine Translation (Q)
|
48% |
658
25.2 IPS |
