LG V30
Geekbench ML Score
121
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 28 2021 08:22 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 9 |
| Model | LG V30 |
| Model ID | LGE LG-H932 |
| Motherboard | msm8998 |
| Governor | interactive |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 10 part 2048 revision 1 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores @ 1.90 GHz |
| Cluster 2 | 4 Cores @ 2.46 GHz |
| Memory Information | |
|---|---|
| Size | 3.63 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
84
8.98 IPS |
|
|
Image Classification (F16)
|
100% |
84
8.99 IPS |
|
|
Image Classification (I8)
|
81% |
136
14.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
154
0.95 IPS |
|
|
Image Segmentation (F16)
|
100% |
154
0.95 IPS |
|
|
Image Segmentation (I8)
|
89% |
355
2.19 IPS |
|
|
Pose Estimation (F32)
|
100% |
73
0.29 IPS |
|
|
Pose Estimation (F16)
|
100% |
72
0.29 IPS |
|
|
Pose Estimation (I8)
|
80% |
102
0.41 IPS |
|
|
Object Detection (F32)
|
100% |
116
4.06 IPS |
|
|
Object Detection (F16)
|
100% |
118
4.13 IPS |
|
|
Object Detection (I8)
|
52% |
165
5.80 IPS |
|
|
Face Detection (F32)
|
100% |
160
1.84 IPS |
|
|
Face Detection (F16)
|
100% |
161
1.85 IPS |
|
|
Face Detection (I8)
|
75% |
255
2.93 IPS |
|
|
Text Classification (F32)
|
100% |
77
30.6 IPS |
|
|
Text Classification (F16)
|
100% |
75
29.5 IPS |
|
|
Machine Translation (F32)
|
100% |
106
16.3 IPS |
|
|
Machine Translation (F16)
|
100% |
105
16.2 IPS |
