vivo V2145
Geekbench AI Score
423
Single Precision Score
414
Half Precision Score
926
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 03 2025 12:59 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
180
33.6 IPS |
|
|
Image Classification (HP)
|
100% |
191
35.6 IPS |
|
|
Image Classification (Q)
|
100% |
642
119.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
238
3.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
217
3.52 IPS |
|
|
Image Segmentation (Q)
|
98% |
726
11.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
923
1.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
953
1.11 IPS |
|
|
Pose Estimation (Q)
|
84% |
2101
2.49 IPS |
|
|
Object Detection (SP)
|
100% |
200
15.9 IPS |
|
|
Object Detection (HP)
|
100% |
186
14.7 IPS |
|
|
Object Detection (Q)
|
83% |
541
43.7 IPS |
|
|
Face Detection (SP)
|
100% |
606
7.20 IPS |
|
|
Face Detection (HP)
|
100% |
557
6.62 IPS |
|
|
Face Detection (Q)
|
95% |
1389
16.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
796
6.13 IPS |
|
|
Depth Estimation (HP)
|
99% |
698
5.38 IPS |
|
|
Depth Estimation (Q)
|
64% |
1419
13.0 IPS |
|
|
Style Transfer (SP)
|
89% |
1534
1.99 IPS |
|
|
Style Transfer (HP)
|
89% |
1565
2.03 IPS |
|
|
Style Transfer (Q)
|
98% |
4101
5.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
482
17.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
470
17.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
980
36.3 IPS |
|
|
Text Classification (SP)
|
100% |
185
246.3 IPS |
|
|
Text Classification (HP)
|
100% |
181
241.5 IPS |
|
|
Text Classification (Q)
|
88% |
413
557.5 IPS |
|
|
Machine Translation (SP)
|
100% |
355
6.11 IPS |
|
|
Machine Translation (HP)
|
100% |
389
6.70 IPS |
|
|
Machine Translation (Q)
|
50% |
270
9.58 IPS |
