vivo V2271A
Geekbench AI Score
193
Single Precision Score
194
Half Precision Score
584
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | January 21 2026 07:41 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
112
20.8 IPS |
|
|
Image Classification (HP)
|
100% |
113
21.0 IPS |
|
|
Image Classification (Q)
|
96% |
605
113.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
152
2.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
154
2.50 IPS |
|
|
Image Segmentation (Q)
|
98% |
822
13.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
206
0.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
207
0.24 IPS |
|
|
Pose Estimation (Q)
|
96% |
5074
5.94 IPS |
|
|
Object Detection (SP)
|
100% |
112
8.90 IPS |
|
|
Object Detection (HP)
|
100% |
113
8.94 IPS |
|
|
Object Detection (Q)
|
84% |
685
55.3 IPS |
|
|
Face Detection (SP)
|
100% |
293
3.48 IPS |
|
|
Face Detection (HP)
|
100% |
296
3.51 IPS |
|
|
Face Detection (Q)
|
97% |
1346
16.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
253
1.95 IPS |
|
|
Depth Estimation (HP)
|
99% |
254
1.95 IPS |
|
|
Depth Estimation (Q)
|
64% |
2839
26.1 IPS |
|
|
Style Transfer (SP)
|
100% |
437
0.56 IPS |
|
|
Style Transfer (HP)
|
100% |
438
0.56 IPS |
|
|
Style Transfer (Q)
|
98% |
8229
10.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
125
4.63 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
126
4.63 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
443
16.4 IPS |
|
|
Text Classification (SP)
|
100% |
166
221.5 IPS |
|
|
Text Classification (HP)
|
100% |
166
221.2 IPS |
|
|
Text Classification (Q)
|
93% |
193
259.4 IPS |
|
|
Machine Translation (SP)
|
100% |
283
4.87 IPS |
|
|
Machine Translation (HP)
|
100% |
282
4.86 IPS |
|
|
Machine Translation (Q)
|
0% |
0
1.38 IPS |
