vivo V2145
Geekbench AI Score
981
Single Precision Score
1610
Half Precision Score
1375
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | September 29 2025 10:34 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
939
174.7 IPS |
|
|
Image Classification (HP)
|
100% |
1435
266.9 IPS |
|
|
Image Classification (Q)
|
99% |
1234
230.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1649
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2828
45.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2240
36.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6185
7.22 IPS |
|
|
Pose Estimation (HP)
|
99% |
11418
13.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
7073
8.28 IPS |
|
|
Object Detection (SP)
|
100% |
392
31.1 IPS |
|
|
Object Detection (HP)
|
99% |
586
46.5 IPS |
|
|
Object Detection (Q)
|
85% |
646
52.0 IPS |
|
|
Face Detection (SP)
|
100% |
1969
23.4 IPS |
|
|
Face Detection (HP)
|
100% |
3732
44.3 IPS |
|
|
Face Detection (Q)
|
97% |
3030
36.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2329
17.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
3923
30.3 IPS |
|
|
Depth Estimation (Q)
|
65% |
3040
27.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5509
7.08 IPS |
|
|
Style Transfer (HP)
|
100% |
11259
14.5 IPS |
|
|
Style Transfer (Q)
|
98% |
11271
14.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
900
33.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1707
63.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1732
64.2 IPS |
|
|
Text Classification (SP)
|
35% |
38
367.0 IPS |
|
|
Text Classification (HP)
|
35% |
46
420.2 IPS |
|
|
Text Classification (Q)
|
35% |
45
409.2 IPS |
|
|
Machine Translation (SP)
|
100% |
257
4.42 IPS |
|
|
Machine Translation (HP)
|
97% |
334
5.78 IPS |
|
|
Machine Translation (Q)
|
64% |
237
4.88 IPS |
