LGE LM-V600
Geekbench AI Score
1175
Single Precision Score
1180
Half Precision Score
2090
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 24 2025 01:58 PM |
| Views | 1 |
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 | schedutil |
| 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 | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
526
97.8 IPS |
|
|
Image Classification (HP)
|
100% |
559
104.0 IPS |
|
|
Image Classification (Q)
|
100% |
1506
280.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
686
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
689
11.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1718
27.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2544
2.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
2486
2.90 IPS |
|
|
Pose Estimation (Q)
|
84% |
3837
4.55 IPS |
|
|
Object Detection (SP)
|
100% |
530
42.0 IPS |
|
|
Object Detection (HP)
|
100% |
547
43.4 IPS |
|
|
Object Detection (Q)
|
83% |
1470
118.8 IPS |
|
|
Face Detection (SP)
|
100% |
1695
20.1 IPS |
|
|
Face Detection (HP)
|
100% |
1699
20.2 IPS |
|
|
Face Detection (Q)
|
95% |
3471
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2184
16.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2188
16.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
3501
32.1 IPS |
|
|
Style Transfer (SP)
|
89% |
4335
5.63 IPS |
|
|
Style Transfer (HP)
|
89% |
4297
5.58 IPS |
|
|
Style Transfer (Q)
|
98% |
8965
11.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1224
45.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1219
45.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2098
77.7 IPS |
|
|
Text Classification (SP)
|
100% |
581
775.9 IPS |
|
|
Text Classification (HP)
|
100% |
579
773.0 IPS |
|
|
Text Classification (Q)
|
88% |
907
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
911
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
887
15.3 IPS |
|
|
Machine Translation (Q)
|
50% |
528
18.8 IPS |
