vivo V2454A
Geekbench AI Score
638
Single Precision Score
21107
Half Precision Score
53325
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Napolitain |
| Upload Date | November 21 2025 01:19 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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 | 10.90 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
384
71.5 IPS |
|
|
Image Classification (HP)
|
100% |
15020
2.79 KIPS |
|
|
Image Classification (Q)
|
97% |
45559
8.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
508
8.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
12279
199.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
38589
627.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
687
0.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
70857
82.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
280696
328.5 IPS |
|
|
Object Detection (SP)
|
100% |
389
30.9 IPS |
|
|
Object Detection (HP)
|
100% |
14171
1.12 KIPS |
|
|
Object Detection (Q)
|
85% |
21138
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
1003
11.9 IPS |
|
|
Face Detection (HP)
|
100% |
31903
379.1 IPS |
|
|
Face Detection (Q)
|
97% |
126180
1.50 KIPS |
|
|
Depth Estimation (SP)
|
100% |
864
6.66 IPS |
|
|
Depth Estimation (HP)
|
99% |
62030
477.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
128239
1.19 KIPS |
|
|
Style Transfer (SP)
|
100% |
1476
1.90 IPS |
|
|
Style Transfer (HP)
|
98% |
89849
115.9 IPS |
|
|
Style Transfer (Q)
|
98% |
416706
537.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
404
14.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37403
1.38 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
107060
3.97 KIPS |
|
|
Text Classification (SP)
|
100% |
496
662.1 IPS |
|
|
Text Classification (HP)
|
100% |
3406
4.55 KIPS |
|
|
Text Classification (Q)
|
93% |
8007
10.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
843
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4184
72.1 IPS |
|
|
Machine Translation (Q)
|
56% |
3084
79.5 IPS |
