vivo V2454A
Geekbench AI Score
842
Single Precision Score
1568
Half Precision Score
1555
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 02 2025 02:40 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
522
97.0 IPS |
|
|
Image Classification (HP)
|
100% |
913
169.8 IPS |
|
|
Image Classification (Q)
|
99% |
1143
213.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1179
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2361
38.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2302
37.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1087
1.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
1898
2.21 IPS |
|
|
Pose Estimation (Q)
|
96% |
1683
1.97 IPS |
|
|
Object Detection (SP)
|
100% |
345
27.4 IPS |
|
|
Object Detection (HP)
|
100% |
839
66.6 IPS |
|
|
Object Detection (Q)
|
86% |
806
64.8 IPS |
|
|
Face Detection (SP)
|
100% |
1936
23.0 IPS |
|
|
Face Detection (HP)
|
100% |
3560
42.3 IPS |
|
|
Face Detection (Q)
|
97% |
3364
40.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1024
7.89 IPS |
|
|
Depth Estimation (HP)
|
99% |
2785
21.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
2307
21.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3458
4.44 IPS |
|
|
Style Transfer (HP)
|
100% |
7454
9.58 IPS |
|
|
Style Transfer (Q)
|
98% |
7423
9.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
433
16.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1340
49.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1317
48.8 IPS |
|
|
Text Classification (SP)
|
100% |
399
532.1 IPS |
|
|
Text Classification (HP)
|
100% |
397
530.5 IPS |
|
|
Text Classification (Q)
|
91% |
617
829.7 IPS |
|
|
Machine Translation (SP)
|
100% |
663
11.4 IPS |
|
|
Machine Translation (HP)
|
100% |
669
11.5 IPS |
|
|
Machine Translation (Q)
|
57% |
495
12.1 IPS |
