LGE LM-V700N
Geekbench ML Score
1020
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 29 2021 01:30 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | LGE LM-V700N |
| Model ID | LGE LM-V700N |
| Motherboard | lahaina |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 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 | 7.17 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
970
104.0 IPS |
|
|
Image Classification (F16)
|
100% |
1584
169.7 IPS |
|
|
Image Classification (I8)
|
79% |
5012
537.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
2314
14.3 IPS |
|
|
Image Segmentation (F16)
|
71% |
3323
20.5 IPS |
|
|
Image Segmentation (I8)
|
89% |
9593
59.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
561
2.27 IPS |
|
|
Pose Estimation (F16)
|
100% |
1985
8.03 IPS |
|
|
Pose Estimation (I8)
|
80% |
24606
99.6 IPS |
|
|
Object Detection (F32)
|
100% |
790
27.7 IPS |
|
|
Object Detection (F16)
|
100% |
1000
35.1 IPS |
|
|
Object Detection (I8)
|
56% |
1416
49.7 IPS |
|
|
Face Detection (F32)
|
100% |
448
5.14 IPS |
|
|
Face Detection (F16)
|
100% |
523
6.01 IPS |
|
|
Face Detection (I8)
|
76% |
22209
255.2 IPS |
|
|
Text Classification (F32)
|
100% |
8
3.30 IPS |
|
|
Text Classification (F16)
|
46% |
7
2.84 IPS |
|
|
Machine Translation (F32)
|
100% |
528
81.3 IPS |
|
|
Machine Translation (F16)
|
100% |
552
85.1 IPS |
