vivo V2454A
Geekbench AI Score
689
Single Precision Score
28847
Half Precision Score
71465
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 11 2026 04:01 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
445
82.7 IPS |
|
|
Image Classification (HP)
|
100% |
21424
3.98 KIPS |
|
|
Image Classification (Q)
|
96% |
50760
9.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
551
8.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
13713
222.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
53290
866.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
726
0.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
123679
144.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
483332
565.7 IPS |
|
|
Object Detection (SP)
|
100% |
411
32.6 IPS |
|
|
Object Detection (HP)
|
100% |
20401
1.62 KIPS |
|
|
Object Detection (Q)
|
85% |
31140
2.51 KIPS |
|
|
Face Detection (SP)
|
100% |
1049
12.5 IPS |
|
|
Face Detection (HP)
|
100% |
41901
497.9 IPS |
|
|
Face Detection (Q)
|
97% |
150769
1.80 KIPS |
|
|
Depth Estimation (SP)
|
100% |
861
6.64 IPS |
|
|
Depth Estimation (HP)
|
99% |
84022
647.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
179488
1.67 KIPS |
|
|
Style Transfer (SP)
|
100% |
1482
1.91 IPS |
|
|
Style Transfer (HP)
|
100% |
93302
119.9 IPS |
|
|
Style Transfer (Q)
|
98% |
486768
627.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
460
17.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55633
2.05 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
136405
5.05 KIPS |
|
|
Text Classification (SP)
|
100% |
565
753.7 IPS |
|
|
Text Classification (HP)
|
100% |
4440
5.93 KIPS |
|
|
Text Classification (Q)
|
93% |
11765
15.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
948
16.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6636
114.3 IPS |
|
|
Machine Translation (Q)
|
56% |
4038
104.0 IPS |
