vivo V2247
Geekbench AI Score
324
Single Precision Score
323
Half Precision Score
361
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 24 2025 04:52 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | vivo V2247 |
| Model ID | vivo V2247 |
| Motherboard | bengal |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3337 revision 0 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores @ 1.90 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.43 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
172
32.0 IPS |
|
|
Image Classification (HP)
|
100% |
174
32.4 IPS |
|
|
Image Classification (Q)
|
100% |
317
58.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
216
3.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
215
3.48 IPS |
|
|
Image Segmentation (Q)
|
98% |
368
5.98 IPS |
|
|
Pose Estimation (SP)
|
100% |
773
0.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
774
0.90 IPS |
|
|
Pose Estimation (Q)
|
84% |
647
0.77 IPS |
|
|
Object Detection (SP)
|
100% |
156
12.3 IPS |
|
|
Object Detection (HP)
|
100% |
155
12.3 IPS |
|
|
Object Detection (Q)
|
83% |
289
23.3 IPS |
|
|
Face Detection (SP)
|
100% |
447
5.31 IPS |
|
|
Face Detection (HP)
|
100% |
453
5.38 IPS |
|
|
Face Detection (Q)
|
95% |
682
8.14 IPS |
|
|
Depth Estimation (SP)
|
100% |
643
4.96 IPS |
|
|
Depth Estimation (HP)
|
99% |
641
4.94 IPS |
|
|
Depth Estimation (Q)
|
64% |
682
6.24 IPS |
|
|
Style Transfer (SP)
|
89% |
1334
1.73 IPS |
|
|
Style Transfer (HP)
|
89% |
1333
1.73 IPS |
|
|
Style Transfer (Q)
|
98% |
1772
2.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
340
12.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
338
12.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
188
6.97 IPS |
|
|
Text Classification (SP)
|
100% |
118
157.9 IPS |
|
|
Text Classification (HP)
|
100% |
114
152.4 IPS |
|
|
Text Classification (Q)
|
88% |
127
171.2 IPS |
|
|
Machine Translation (SP)
|
100% |
189
3.25 IPS |
|
|
Machine Translation (HP)
|
100% |
190
3.27 IPS |
|
|
Machine Translation (Q)
|
50% |
88
3.13 IPS |
