LG V50 ThinQ 5G
Geekbench ML Score
325
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | February 22 2023 09:14 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | LG V50 ThinQ 5G |
| Model ID | LGE LM-V500N |
| 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 | 5.29 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
292
31.3 IPS |
|
|
Image Classification (F16)
|
100% |
288
30.9 IPS |
|
|
Image Classification (I8)
|
81% |
158
17.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
474
2.93 IPS |
|
|
Image Segmentation (F16)
|
100% |
478
2.95 IPS |
|
|
Image Segmentation (I8)
|
89% |
744
4.60 IPS |
|
|
Pose Estimation (F32)
|
100% |
211
0.86 IPS |
|
|
Pose Estimation (F16)
|
100% |
201
0.82 IPS |
|
|
Pose Estimation (I8)
|
80% |
206
0.83 IPS |
|
|
Object Detection (F32)
|
100% |
343
12.0 IPS |
|
|
Object Detection (F16)
|
100% |
346
12.1 IPS |
|
|
Object Detection (I8)
|
52% |
249
8.75 IPS |
|
|
Face Detection (F32)
|
100% |
506
5.81 IPS |
|
|
Face Detection (F16)
|
100% |
502
5.76 IPS |
|
|
Face Detection (I8)
|
75% |
354
4.06 IPS |
|
|
Text Classification (F32)
|
100% |
239
94.7 IPS |
|
|
Text Classification (F16)
|
100% |
256
101.2 IPS |
|
|
Machine Translation (F32)
|
100% |
384
59.2 IPS |
|
|
Machine Translation (F16)
|
100% |
451
69.5 IPS |
