LG V50 ThinQ 5G
Geekbench AI Score
201
Single Precision Score
192
Half Precision Score
428
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | cnliyx |
| Upload Date | December 20 2024 07:24 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 855 |
| 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 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
136
25.3 IPS |
|
|
Image Classification (HP)
|
100% |
138
25.7 IPS |
|
|
Image Classification (Q)
|
99% |
329
61.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
178
2.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
179
2.91 IPS |
|
|
Image Segmentation (Q)
|
98% |
351
5.70 IPS |
|
|
Pose Estimation (SP)
|
100% |
221
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
192
0.22 IPS |
|
|
Pose Estimation (Q)
|
98% |
888
1.04 IPS |
|
|
Object Detection (SP)
|
100% |
119
9.42 IPS |
|
|
Object Detection (HP)
|
100% |
111
8.82 IPS |
|
|
Object Detection (Q)
|
87% |
271
21.8 IPS |
|
|
Face Detection (SP)
|
100% |
348
4.13 IPS |
|
|
Face Detection (HP)
|
100% |
310
3.68 IPS |
|
|
Face Detection (Q)
|
97% |
509
6.08 IPS |
|
|
Depth Estimation (SP)
|
100% |
223
1.72 IPS |
|
|
Depth Estimation (HP)
|
99% |
223
1.72 IPS |
|
|
Depth Estimation (Q)
|
64% |
547
4.96 IPS |
|
|
Style Transfer (SP)
|
100% |
377
0.48 IPS |
|
|
Style Transfer (HP)
|
100% |
374
0.48 IPS |
|
|
Style Transfer (Q)
|
98% |
1074
1.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
107
3.96 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
107
3.96 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
406
15.0 IPS |
|
|
Text Classification (SP)
|
100% |
168
224.8 IPS |
|
|
Text Classification (HP)
|
100% |
170
226.4 IPS |
|
|
Text Classification (Q)
|
91% |
278
373.7 IPS |
|
|
Machine Translation (SP)
|
100% |
337
5.80 IPS |
|
|
Machine Translation (HP)
|
100% |
276
4.75 IPS |
|
|
Machine Translation (Q)
|
57% |
220
5.38 IPS |
