LG V60 ThinQ 5G LGE LM-V600
Geekbench AI Score
1128
Single Precision Score
1093
Half Precision Score
2032
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | rennsport |
| Upload Date | December 05 2024 05:00 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | LGE LM-V600 |
| Model ID | LGE LM-V600 |
| Motherboard | kona |
| Governor | performance |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
523
97.2 IPS |
|
|
Image Classification (HP)
|
100% |
553
102.9 IPS |
|
|
Image Classification (Q)
|
100% |
1483
275.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
675
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
687
11.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1714
27.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2301
2.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
2165
2.53 IPS |
|
|
Pose Estimation (Q)
|
84% |
3640
4.32 IPS |
|
|
Object Detection (SP)
|
100% |
526
41.8 IPS |
|
|
Object Detection (HP)
|
100% |
523
41.5 IPS |
|
|
Object Detection (Q)
|
83% |
1449
117.1 IPS |
|
|
Face Detection (SP)
|
100% |
1670
19.8 IPS |
|
|
Face Detection (HP)
|
100% |
1659
19.7 IPS |
|
|
Face Detection (Q)
|
95% |
3464
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1937
14.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1969
15.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
3475
31.8 IPS |
|
|
Style Transfer (SP)
|
89% |
4075
5.29 IPS |
|
|
Style Transfer (HP)
|
89% |
4046
5.25 IPS |
|
|
Style Transfer (Q)
|
98% |
8661
11.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1169
43.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1191
44.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1993
73.9 IPS |
|
|
Text Classification (SP)
|
100% |
578
771.9 IPS |
|
|
Text Classification (HP)
|
100% |
569
759.0 IPS |
|
|
Text Classification (Q)
|
88% |
917
1.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
879
15.1 IPS |
|
|
Machine Translation (HP)
|
100% |
632
10.9 IPS |
|
|
Machine Translation (Q)
|
50% |
471
16.7 IPS |
