LG V50 ThinQ 5G
Geekbench AI Score
107
Single Precision Score
109
Half Precision Score
225
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| Upload Date | August 23 2024 05:26 PM |
| Views | 16 |
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% |
58
10.8 IPS |
|
|
Image Classification (HP)
|
100% |
58
10.8 IPS |
|
|
Image Classification (Q)
|
97% |
128
23.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
77
1.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
78
1.26 IPS |
|
|
Image Segmentation (Q)
|
98% |
135
2.19 IPS |
|
|
Pose Estimation (SP)
|
100% |
105
0.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
138
0.16 IPS |
|
|
Pose Estimation (Q)
|
98% |
516
0.60 IPS |
|
|
Object Detection (SP)
|
100% |
76
6.01 IPS |
|
|
Object Detection (HP)
|
100% |
76
6.05 IPS |
|
|
Object Detection (Q)
|
89% |
187
14.9 IPS |
|
|
Face Detection (SP)
|
100% |
203
2.41 IPS |
|
|
Face Detection (HP)
|
100% |
206
2.44 IPS |
|
|
Face Detection (Q)
|
97% |
371
4.43 IPS |
|
|
Depth Estimation (SP)
|
100% |
163
1.25 IPS |
|
|
Depth Estimation (HP)
|
100% |
134
1.03 IPS |
|
|
Depth Estimation (Q)
|
73% |
312
2.55 IPS |
|
|
Style Transfer (SP)
|
100% |
231
0.30 IPS |
|
|
Style Transfer (HP)
|
100% |
230
0.30 IPS |
|
|
Style Transfer (Q)
|
98% |
653
0.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
65
2.39 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
65
2.39 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
214
7.93 IPS |
|
|
Text Classification (SP)
|
100% |
81
108.4 IPS |
|
|
Text Classification (HP)
|
100% |
81
108.3 IPS |
|
|
Text Classification (Q)
|
91% |
126
168.7 IPS |
|
|
Machine Translation (SP)
|
100% |
147
2.53 IPS |
|
|
Machine Translation (HP)
|
100% |
151
2.61 IPS |
|
|
Machine Translation (Q)
|
57% |
99
2.42 IPS |
