vivo V2145
Geekbench AI Score
858
Single Precision Score
854
Half Precision Score
1905
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | September 29 2025 10:27 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
435
81.0 IPS |
|
|
Image Classification (HP)
|
100% |
446
83.0 IPS |
|
|
Image Classification (Q)
|
100% |
1671
310.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
524
8.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
526
8.53 IPS |
|
|
Image Segmentation (Q)
|
98% |
1796
29.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1903
2.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
1802
2.10 IPS |
|
|
Pose Estimation (Q)
|
84% |
3886
4.61 IPS |
|
|
Object Detection (SP)
|
100% |
356
28.3 IPS |
|
|
Object Detection (HP)
|
100% |
356
28.3 IPS |
|
|
Object Detection (Q)
|
83% |
1310
105.9 IPS |
|
|
Face Detection (SP)
|
100% |
1247
14.8 IPS |
|
|
Face Detection (HP)
|
100% |
1247
14.8 IPS |
|
|
Face Detection (Q)
|
95% |
2813
33.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1674
12.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1673
12.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
3085
28.3 IPS |
|
|
Style Transfer (SP)
|
89% |
2910
3.78 IPS |
|
|
Style Transfer (HP)
|
89% |
2908
3.78 IPS |
|
|
Style Transfer (Q)
|
98% |
7935
10.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
952
35.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
951
35.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1989
73.7 IPS |
|
|
Text Classification (SP)
|
100% |
394
525.9 IPS |
|
|
Text Classification (HP)
|
100% |
393
524.6 IPS |
|
|
Text Classification (Q)
|
88% |
669
902.1 IPS |
|
|
Machine Translation (SP)
|
100% |
618
10.6 IPS |
|
|
Machine Translation (HP)
|
100% |
611
10.5 IPS |
|
|
Machine Translation (Q)
|
50% |
450
16.0 IPS |
