vivo V2454A
Geekbench AI Score
685
Single Precision Score
28765
Half Precision Score
71241
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 11 2026 04:04 PM |
| Views | 1 |
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% |
450
83.6 IPS |
|
|
Image Classification (HP)
|
100% |
21478
3.99 KIPS |
|
|
Image Classification (Q)
|
96% |
50740
9.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
558
9.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
13869
224.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
52752
857.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
725
0.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
124711
145.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
481726
563.8 IPS |
|
|
Object Detection (SP)
|
100% |
391
31.0 IPS |
|
|
Object Detection (HP)
|
100% |
20103
1.59 KIPS |
|
|
Object Detection (Q)
|
85% |
31006
2.50 KIPS |
|
|
Face Detection (SP)
|
100% |
1012
12.0 IPS |
|
|
Face Detection (HP)
|
100% |
41966
498.6 IPS |
|
|
Face Detection (Q)
|
97% |
150331
1.79 KIPS |
|
|
Depth Estimation (SP)
|
100% |
863
6.65 IPS |
|
|
Depth Estimation (HP)
|
99% |
83930
646.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
179555
1.67 KIPS |
|
|
Style Transfer (SP)
|
100% |
1490
1.92 IPS |
|
|
Style Transfer (HP)
|
100% |
93178
119.8 IPS |
|
|
Style Transfer (Q)
|
98% |
487300
628.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
460
17.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55684
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
136549
5.06 KIPS |
|
|
Text Classification (SP)
|
100% |
566
755.1 IPS |
|
|
Text Classification (HP)
|
100% |
4450
5.94 KIPS |
|
|
Text Classification (Q)
|
93% |
11928
16.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
951
16.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6387
110.0 IPS |
|
|
Machine Translation (Q)
|
56% |
3932
101.3 IPS |
