vivo V2427
Geekbench AI Score
692
Single Precision Score
658
Half Precision Score
1350
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 08 2025 05:48 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2427 |
| Model ID | vivo V2427 |
| Motherboard | crow |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3405 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.40 GHz |
| Cluster 3 | 1 Core @ 2.63 GHz |
| Memory Information | |
|---|---|
| Size | 11.03 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
756
140.6 IPS |
|
|
Image Classification (HP)
|
100% |
742
138.0 IPS |
|
|
Image Classification (Q)
|
100% |
1928
358.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
723
11.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
713
11.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2023
32.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1904
2.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
1172
1.37 IPS |
|
|
Pose Estimation (Q)
|
84% |
2681
3.18 IPS |
|
|
Object Detection (SP)
|
98% |
365
29.1 IPS |
|
|
Object Detection (HP)
|
98% |
368
29.3 IPS |
|
|
Object Detection (Q)
|
83% |
782
63.1 IPS |
|
|
Face Detection (SP)
|
100% |
662
7.87 IPS |
|
|
Face Detection (HP)
|
100% |
669
7.95 IPS |
|
|
Face Detection (Q)
|
95% |
1702
20.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
861
6.65 IPS |
|
|
Depth Estimation (HP)
|
99% |
871
6.73 IPS |
|
|
Depth Estimation (Q)
|
64% |
2075
19.0 IPS |
|
|
Style Transfer (SP)
|
89% |
2245
2.91 IPS |
|
|
Style Transfer (HP)
|
89% |
2236
2.90 IPS |
|
|
Style Transfer (Q)
|
98% |
5363
6.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
483
17.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
486
18.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1404
52.0 IPS |
|
|
Text Classification (SP)
|
100% |
244
326.0 IPS |
|
|
Text Classification (HP)
|
99% |
244
325.4 IPS |
|
|
Text Classification (Q)
|
88% |
397
535.6 IPS |
|
|
Machine Translation (SP)
|
100% |
445
7.66 IPS |
|
|
Machine Translation (HP)
|
100% |
433
7.46 IPS |
|
|
Machine Translation (Q)
|
50% |
234
8.30 IPS |
