vivo V2145
Geekbench AI Score
203
Single Precision Score
204
Half Precision Score
478
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | September 29 2025 10:53 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | vivo V2145 |
| Model ID | vivo V2145 |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 11.04 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
117
21.8 IPS |
|
|
Image Classification (HP)
|
100% |
118
21.9 IPS |
|
|
Image Classification (Q)
|
99% |
309
57.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
154
2.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
155
2.52 IPS |
|
|
Image Segmentation (Q)
|
98% |
331
5.39 IPS |
|
|
Pose Estimation (SP)
|
100% |
212
0.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
211
0.25 IPS |
|
|
Pose Estimation (Q)
|
98% |
813
0.95 IPS |
|
|
Object Detection (SP)
|
100% |
117
9.26 IPS |
|
|
Object Detection (HP)
|
100% |
117
9.31 IPS |
|
|
Object Detection (Q)
|
87% |
338
27.1 IPS |
|
|
Face Detection (SP)
|
100% |
316
3.75 IPS |
|
|
Face Detection (HP)
|
100% |
318
3.78 IPS |
|
|
Face Detection (Q)
|
97% |
691
8.24 IPS |
|
|
Depth Estimation (SP)
|
100% |
270
2.08 IPS |
|
|
Depth Estimation (HP)
|
99% |
271
2.09 IPS |
|
|
Depth Estimation (Q)
|
64% |
668
6.06 IPS |
|
|
Style Transfer (SP)
|
100% |
486
0.63 IPS |
|
|
Style Transfer (HP)
|
100% |
486
0.62 IPS |
|
|
Style Transfer (Q)
|
98% |
1310
1.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
134
4.94 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
134
4.94 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
471
17.5 IPS |
|
|
Text Classification (SP)
|
100% |
171
228.2 IPS |
|
|
Text Classification (HP)
|
100% |
171
228.9 IPS |
|
|
Text Classification (Q)
|
91% |
303
406.7 IPS |
|
|
Machine Translation (SP)
|
100% |
293
5.04 IPS |
|
|
Machine Translation (HP)
|
100% |
292
5.03 IPS |
|
|
Machine Translation (Q)
|
57% |
259
6.33 IPS |
