LGE LM-V600
Geekbench ML Score
1259
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 15 2023 07:50 PM |
| Views | 1 |
System Information
| 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 |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
956
102.4 IPS |
|
|
Image Classification (F16)
|
100% |
1457
156.1 IPS |
|
|
Image Classification (I8)
|
80% |
1320
141.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
2316
14.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
3912
24.2 IPS |
|
|
Image Segmentation (I8)
|
89% |
3673
22.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
1213
4.91 IPS |
|
|
Pose Estimation (F16)
|
100% |
2076
8.40 IPS |
|
|
Pose Estimation (I8)
|
80% |
2095
8.48 IPS |
|
|
Object Detection (F32)
|
100% |
475
16.7 IPS |
|
|
Object Detection (F16)
|
99% |
930
32.6 IPS |
|
|
Object Detection (I8)
|
53% |
913
32.0 IPS |
|
|
Face Detection (F32)
|
100% |
1856
21.3 IPS |
|
|
Face Detection (F16)
|
97% |
3316
38.1 IPS |
|
|
Face Detection (I8)
|
76% |
2757
31.7 IPS |
|
|
Text Classification (F32)
|
100% |
477
188.8 IPS |
|
|
Text Classification (F16)
|
98% |
528
208.9 IPS |
|
|
Machine Translation (F32)
|
100% |
386
59.4 IPS |
|
|
Machine Translation (F16)
|
100% |
373
57.5 IPS |
