vivo V2271A
Geekbench AI Score
544
Single Precision Score
549
Half Precision Score
1011
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | January 21 2026 06:31 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | vivo V2271A |
| Model ID | vivo V2271A |
| Motherboard | holi |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 7.27 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
239
44.5 IPS |
|
|
Image Classification (HP)
|
100% |
239
44.5 IPS |
|
|
Image Classification (Q)
|
100% |
721
134.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
313
5.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
314
5.09 IPS |
|
|
Image Segmentation (Q)
|
98% |
826
13.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1196
1.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
1197
1.40 IPS |
|
|
Pose Estimation (Q)
|
84% |
1734
2.06 IPS |
|
|
Object Detection (SP)
|
100% |
240
19.0 IPS |
|
|
Object Detection (HP)
|
100% |
240
19.0 IPS |
|
|
Object Detection (Q)
|
83% |
706
57.1 IPS |
|
|
Face Detection (SP)
|
100% |
774
9.19 IPS |
|
|
Face Detection (HP)
|
100% |
773
9.18 IPS |
|
|
Face Detection (Q)
|
95% |
1712
20.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1017
7.83 IPS |
|
|
Depth Estimation (HP)
|
99% |
1021
7.87 IPS |
|
|
Depth Estimation (Q)
|
64% |
1379
12.6 IPS |
|
|
Style Transfer (SP)
|
89% |
2029
2.63 IPS |
|
|
Style Transfer (HP)
|
89% |
2029
2.63 IPS |
|
|
Style Transfer (Q)
|
98% |
4023
5.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
532
19.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
533
19.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
889
32.9 IPS |
|
|
Text Classification (SP)
|
100% |
265
353.7 IPS |
|
|
Text Classification (HP)
|
100% |
286
381.4 IPS |
|
|
Text Classification (Q)
|
88% |
565
762.5 IPS |
|
|
Machine Translation (SP)
|
100% |
478
8.23 IPS |
|
|
Machine Translation (HP)
|
100% |
473
8.15 IPS |
|
|
Machine Translation (Q)
|
50% |
323
11.5 IPS |
