vivo V2454A
Geekbench AI Score
2863
Single Precision Score
2861
Half Precision Score
4996
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 17 2025 07:08 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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 | 14.81 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2393
445.0 IPS |
|
|
Image Classification (HP)
|
100% |
2397
445.8 IPS |
|
|
Image Classification (Q)
|
100% |
4662
866.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2651
43.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2625
42.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5847
95.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5404
6.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
5375
6.27 IPS |
|
|
Pose Estimation (Q)
|
84% |
13777
16.3 IPS |
|
|
Object Detection (SP)
|
98% |
1849
147.1 IPS |
|
|
Object Detection (HP)
|
98% |
1819
144.7 IPS |
|
|
Object Detection (Q)
|
83% |
4365
352.6 IPS |
|
|
Face Detection (SP)
|
100% |
4564
54.2 IPS |
|
|
Face Detection (HP)
|
100% |
3170
37.7 IPS |
|
|
Face Detection (Q)
|
95% |
6952
83.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3162
24.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4728
36.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
11059
101.3 IPS |
|
|
Style Transfer (SP)
|
89% |
12055
15.6 IPS |
|
|
Style Transfer (HP)
|
89% |
11725
15.2 IPS |
|
|
Style Transfer (Q)
|
98% |
26157
33.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2484
91.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2498
92.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6742
249.8 IPS |
|
|
Text Classification (SP)
|
100% |
962
1.28 KIPS |
|
|
Text Classification (HP)
|
99% |
970
1.29 KIPS |
|
|
Text Classification (Q)
|
88% |
735
991.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1405
24.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1407
24.2 IPS |
|
|
Machine Translation (Q)
|
50% |
594
21.1 IPS |
