LGE LM-V600
Geekbench ML Score
1245
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | April 21 2022 06:35 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| 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 | 7.50 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
935
100.2 IPS |
|
|
Image Classification (F16)
|
100% |
1378
147.7 IPS |
|
|
Image Classification (I8)
|
80% |
1301
139.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
2410
14.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
4073
25.2 IPS |
|
|
Image Segmentation (I8)
|
89% |
3758
23.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
1211
4.90 IPS |
|
|
Pose Estimation (F16)
|
100% |
2064
8.35 IPS |
|
|
Pose Estimation (I8)
|
80% |
2061
8.34 IPS |
|
|
Object Detection (F32)
|
100% |
457
16.0 IPS |
|
|
Object Detection (F16)
|
99% |
663
23.3 IPS |
|
|
Object Detection (I8)
|
53% |
635
22.3 IPS |
|
|
Face Detection (F32)
|
100% |
1758
20.2 IPS |
|
|
Face Detection (F16)
|
97% |
2868
33.0 IPS |
|
|
Face Detection (I8)
|
76% |
2578
29.6 IPS |
|
|
Text Classification (F32)
|
100% |
471
186.1 IPS |
|
|
Text Classification (F16)
|
98% |
559
220.9 IPS |
|
|
Machine Translation (F32)
|
100% |
553
85.2 IPS |
|
|
Machine Translation (F16)
|
100% |
562
86.7 IPS |
