LG V60 ThinQ 5G LGE LM-V600
Geekbench AI Score
1207
Single Precision Score
2023
Half Precision Score
1639
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | rennsport |
| Upload Date | February 14 2026 07:58 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
833
154.9 IPS |
|
|
Image Classification (HP)
|
100% |
1213
225.6 IPS |
|
|
Image Classification (Q)
|
100% |
1172
217.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1411
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2408
39.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2317
37.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5410
6.31 IPS |
|
|
Pose Estimation (HP)
|
99% |
9336
10.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
9182
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
746
59.1 IPS |
|
|
Object Detection (HP)
|
99% |
1206
95.6 IPS |
|
|
Object Detection (Q)
|
87% |
1137
91.3 IPS |
|
|
Face Detection (SP)
|
100% |
2366
28.1 IPS |
|
|
Face Detection (HP)
|
100% |
4122
49.0 IPS |
|
|
Face Detection (Q)
|
97% |
3668
43.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2675
20.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
4051
31.3 IPS |
|
|
Depth Estimation (Q)
|
61% |
3107
30.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6483
8.33 IPS |
|
|
Style Transfer (HP)
|
100% |
12572
16.2 IPS |
|
|
Style Transfer (Q)
|
98% |
12470
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1337
49.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2364
87.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2373
88.0 IPS |
|
|
Text Classification (SP)
|
35% |
37
363.9 IPS |
|
|
Text Classification (HP)
|
35% |
78
710.7 IPS |
|
|
Text Classification (Q)
|
33% |
59
708.1 IPS |
|
|
Machine Translation (SP)
|
100% |
685
11.8 IPS |
|
|
Machine Translation (HP)
|
97% |
906
15.7 IPS |
|
|
Machine Translation (Q)
|
43% |
249
14.2 IPS |
