vivo V2454A
Geekbench AI Score
2610
Single Precision Score
2649
Half Precision Score
4523
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 11 2026 04:17 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1838
341.8 IPS |
|
|
Image Classification (HP)
|
100% |
1809
336.4 IPS |
|
|
Image Classification (Q)
|
100% |
3911
727.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2165
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2278
36.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4972
80.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5030
5.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
4969
5.80 IPS |
|
|
Pose Estimation (Q)
|
84% |
12924
15.3 IPS |
|
|
Object Detection (SP)
|
98% |
1581
125.8 IPS |
|
|
Object Detection (HP)
|
98% |
1686
134.1 IPS |
|
|
Object Detection (Q)
|
83% |
4073
329.0 IPS |
|
|
Face Detection (SP)
|
100% |
4325
51.4 IPS |
|
|
Face Detection (HP)
|
100% |
4178
49.6 IPS |
|
|
Face Detection (Q)
|
95% |
9701
115.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
4447
34.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4371
33.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
8958
82.0 IPS |
|
|
Style Transfer (SP)
|
89% |
10466
13.6 IPS |
|
|
Style Transfer (HP)
|
89% |
10826
14.1 IPS |
|
|
Style Transfer (Q)
|
98% |
23853
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2083
76.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2183
80.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4453
165.0 IPS |
|
|
Text Classification (SP)
|
100% |
872
1.16 KIPS |
|
|
Text Classification (HP)
|
99% |
873
1.16 KIPS |
|
|
Text Classification (Q)
|
88% |
644
868.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1270
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1311
22.6 IPS |
|
|
Machine Translation (Q)
|
50% |
589
20.9 IPS |
