vivo V2271A
Geekbench AI Score
173
Single Precision Score
346
Half Precision Score
565
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | January 21 2026 07:22 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
196
36.4 IPS |
|
|
Image Classification (HP)
|
100% |
236
43.9 IPS |
|
|
Image Classification (Q)
|
97% |
604
112.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
306
4.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
392
6.35 IPS |
|
|
Image Segmentation (Q)
|
98% |
639
10.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
525
0.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
1229
1.43 IPS |
|
|
Pose Estimation (Q)
|
96% |
4643
5.44 IPS |
|
|
Object Detection (SP)
|
100% |
191
15.1 IPS |
|
|
Object Detection (HP)
|
99% |
244
19.3 IPS |
|
|
Object Detection (Q)
|
85% |
460
37.0 IPS |
|
|
Face Detection (SP)
|
100% |
497
5.90 IPS |
|
|
Face Detection (HP)
|
100% |
295
3.50 IPS |
|
|
Face Detection (Q)
|
97% |
1709
20.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
343
2.64 IPS |
|
|
Depth Estimation (HP)
|
99% |
253
1.95 IPS |
|
|
Depth Estimation (Q)
|
22% |
109
25.0 IPS |
|
|
Style Transfer (SP)
|
100% |
930
1.20 IPS |
|
|
Style Transfer (HP)
|
100% |
437
0.56 IPS |
|
|
Style Transfer (Q)
|
98% |
2207
2.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
313
11.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
602
22.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1801
66.7 IPS |
|
|
Text Classification (SP)
|
100% |
1
1.30 IPS |
|
|
Text Classification (HP)
|
100% |
163
217.0 IPS |
|
|
Text Classification (Q)
|
93% |
56
74.6 IPS |
|
|
Machine Translation (SP)
|
100% |
84
1.45 IPS |
|
|
Machine Translation (HP)
|
100% |
277
4.77 IPS |
|
|
Machine Translation (Q)
|
54% |
97
2.75 IPS |
