vivo V2271A
Geekbench AI Score
317
Single Precision Score
474
Half Precision Score
433
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | January 21 2026 06:40 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
232
43.2 IPS |
|
|
Image Classification (HP)
|
100% |
311
57.8 IPS |
|
|
Image Classification (Q)
|
99% |
290
54.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
344
5.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
513
8.31 IPS |
|
|
Image Segmentation (Q)
|
98% |
489
7.94 IPS |
|
|
Pose Estimation (SP)
|
100% |
1396
1.63 IPS |
|
|
Pose Estimation (HP)
|
99% |
2225
2.60 IPS |
|
|
Pose Estimation (Q)
|
97% |
2195
2.57 IPS |
|
|
Object Detection (SP)
|
100% |
191
15.2 IPS |
|
|
Object Detection (HP)
|
99% |
259
20.5 IPS |
|
|
Object Detection (Q)
|
85% |
241
19.4 IPS |
|
|
Face Detection (SP)
|
100% |
663
7.88 IPS |
|
|
Face Detection (HP)
|
100% |
994
11.8 IPS |
|
|
Face Detection (Q)
|
97% |
879
10.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
844
6.50 IPS |
|
|
Depth Estimation (HP)
|
98% |
1369
10.6 IPS |
|
|
Depth Estimation (Q)
|
65% |
1136
10.2 IPS |
|
|
Style Transfer (SP)
|
100% |
1805
2.32 IPS |
|
|
Style Transfer (HP)
|
100% |
3330
4.28 IPS |
|
|
Style Transfer (Q)
|
98% |
3166
4.08 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
324
12.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
472
17.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
461
17.1 IPS |
|
|
Text Classification (SP)
|
35% |
11
106.6 IPS |
|
|
Text Classification (HP)
|
35% |
19
170.9 IPS |
|
|
Text Classification (Q)
|
35% |
18
166.0 IPS |
|
|
Machine Translation (SP)
|
100% |
135
2.32 IPS |
|
|
Machine Translation (HP)
|
97% |
154
2.66 IPS |
|
|
Machine Translation (Q)
|
64% |
120
2.46 IPS |
