vivo V2145
Geekbench ML Score
1913
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 26 2022 01:00 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| 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 | 11.02 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1635
175.2 IPS |
|
|
Image Classification (F16)
|
100% |
2438
261.2 IPS |
|
|
Image Classification (I8)
|
80% |
2104
225.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
4152
25.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
6914
42.7 IPS |
|
|
Image Segmentation (I8)
|
89% |
6143
37.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
2018
8.17 IPS |
|
|
Pose Estimation (F16)
|
100% |
3856
15.6 IPS |
|
|
Pose Estimation (I8)
|
80% |
3841
15.5 IPS |
|
|
Object Detection (F32)
|
100% |
518
18.2 IPS |
|
|
Object Detection (F16)
|
99% |
629
22.1 IPS |
|
|
Object Detection (I8)
|
53% |
629
22.1 IPS |
|
|
Face Detection (F32)
|
100% |
2760
31.7 IPS |
|
|
Face Detection (F16)
|
97% |
5011
57.6 IPS |
|
|
Face Detection (I8)
|
75% |
4228
48.6 IPS |
|
|
Text Classification (F32)
|
100% |
701
277.3 IPS |
|
|
Text Classification (F16)
|
98% |
814
321.8 IPS |
|
|
Machine Translation (F32)
|
100% |
867
133.6 IPS |
|
|
Machine Translation (F16)
|
100% |
867
133.6 IPS |
