vivo V2145
Geekbench AI Score
867
Single Precision Score
1317
Half Precision Score
1235
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 03 2025 01:06 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
810
150.6 IPS |
|
|
Image Classification (HP)
|
100% |
998
185.6 IPS |
|
|
Image Classification (Q)
|
99% |
982
183.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1215
19.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1881
30.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1439
23.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4776
5.57 IPS |
|
|
Pose Estimation (HP)
|
99% |
8825
10.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
8498
9.95 IPS |
|
|
Object Detection (SP)
|
100% |
413
32.7 IPS |
|
|
Object Detection (HP)
|
99% |
578
45.9 IPS |
|
|
Object Detection (Q)
|
85% |
711
57.2 IPS |
|
|
Face Detection (SP)
|
100% |
1703
20.2 IPS |
|
|
Face Detection (HP)
|
100% |
2672
31.8 IPS |
|
|
Face Detection (Q)
|
97% |
3117
37.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2417
18.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
3746
29.0 IPS |
|
|
Depth Estimation (Q)
|
65% |
2987
26.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5680
7.30 IPS |
|
|
Style Transfer (HP)
|
100% |
11340
14.6 IPS |
|
|
Style Transfer (Q)
|
98% |
11851
15.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
884
32.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1545
57.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1415
52.4 IPS |
|
|
Text Classification (SP)
|
35% |
23
228.0 IPS |
|
|
Text Classification (HP)
|
35% |
29
264.4 IPS |
|
|
Text Classification (Q)
|
35% |
27
242.8 IPS |
|
|
Machine Translation (SP)
|
100% |
261
4.49 IPS |
|
|
Machine Translation (HP)
|
97% |
324
5.60 IPS |
|
|
Machine Translation (Q)
|
64% |
231
4.74 IPS |
