LG V50S ThinQ 5G
Geekbench ML Score
263
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 23 2021 03:02 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | LG V50S ThinQ 5G |
| Model ID | LGE LM-V510N |
| Motherboard | msmnile |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 13 part 2052 revision 14 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 7.25 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
250
26.8 IPS |
|
|
Image Classification (F16)
|
100% |
229
24.5 IPS |
|
|
Image Classification (I8)
|
81% |
128
13.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
397
2.45 IPS |
|
|
Image Segmentation (F16)
|
100% |
454
2.81 IPS |
|
|
Image Segmentation (I8)
|
89% |
556
3.43 IPS |
|
|
Pose Estimation (F32)
|
100% |
195
0.79 IPS |
|
|
Pose Estimation (F16)
|
100% |
184
0.75 IPS |
|
|
Pose Estimation (I8)
|
80% |
141
0.57 IPS |
|
|
Object Detection (F32)
|
100% |
239
8.37 IPS |
|
|
Object Detection (F16)
|
100% |
230
8.09 IPS |
|
|
Object Detection (I8)
|
52% |
194
6.81 IPS |
|
|
Face Detection (F32)
|
100% |
419
4.82 IPS |
|
|
Face Detection (F16)
|
100% |
416
4.77 IPS |
|
|
Face Detection (I8)
|
75% |
355
4.08 IPS |
|
|
Text Classification (F32)
|
100% |
231
91.6 IPS |
|
|
Text Classification (F16)
|
100% |
201
79.5 IPS |
|
|
Machine Translation (F32)
|
100% |
297
45.7 IPS |
|
|
Machine Translation (F16)
|
100% |
293
45.2 IPS |
