LG V50 ThinQ 5G
Geekbench AI Score
280
Single Precision Score
302
Half Precision Score
1034
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | cnliyx |
| Upload Date | December 20 2024 06:56 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
380
70.6 IPS |
|
|
Image Classification (HP)
|
100% |
526
97.9 IPS |
|
|
Image Classification (Q)
|
97% |
1127
210.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
441
7.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
154
2.49 IPS |
|
|
Image Segmentation (Q)
|
98% |
1071
17.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1153
1.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
2491
2.91 IPS |
|
|
Pose Estimation (Q)
|
96% |
10019
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
381
30.2 IPS |
|
|
Object Detection (HP)
|
100% |
82
6.48 IPS |
|
|
Object Detection (Q)
|
85% |
1273
102.4 IPS |
|
|
Face Detection (SP)
|
100% |
1025
12.2 IPS |
|
|
Face Detection (HP)
|
100% |
221
2.62 IPS |
|
|
Face Detection (Q)
|
97% |
3078
36.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
346
2.67 IPS |
|
|
Depth Estimation (HP)
|
99% |
183
1.41 IPS |
|
|
Depth Estimation (Q)
|
22% |
236
54.1 IPS |
|
|
Style Transfer (SP)
|
100% |
505
0.65 IPS |
|
|
Style Transfer (HP)
|
100% |
313
0.40 IPS |
|
|
Style Transfer (Q)
|
98% |
2352
3.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
689
25.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1290
47.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4755
176.2 IPS |
|
|
Text Classification (SP)
|
71% |
3
4.36 IPS |
|
|
Text Classification (HP)
|
100% |
115
153.4 IPS |
|
|
Text Classification (Q)
|
93% |
88
118.1 IPS |
|
|
Machine Translation (SP)
|
100% |
109
1.88 IPS |
|
|
Machine Translation (HP)
|
100% |
207
3.56 IPS |
|
|
Machine Translation (Q)
|
54% |
128
3.60 IPS |
