LGE LM-V700N
Geekbench ML Score
376
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 29 2021 01:24 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
382
40.9 IPS |
|
|
Image Classification (F16)
|
100% |
407
43.6 IPS |
|
|
Image Classification (I8)
|
81% |
200
21.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
629
3.89 IPS |
|
|
Image Segmentation (F16)
|
100% |
603
3.73 IPS |
|
|
Image Segmentation (I8)
|
89% |
628
3.88 IPS |
|
|
Pose Estimation (F32)
|
100% |
262
1.06 IPS |
|
|
Pose Estimation (F16)
|
100% |
264
1.07 IPS |
|
|
Pose Estimation (I8)
|
80% |
183
0.74 IPS |
|
|
Object Detection (F32)
|
100% |
275
9.64 IPS |
|
|
Object Detection (F16)
|
100% |
273
9.58 IPS |
|
|
Object Detection (I8)
|
52% |
278
9.75 IPS |
|
|
Face Detection (F32)
|
100% |
537
6.17 IPS |
|
|
Face Detection (F16)
|
100% |
543
6.24 IPS |
|
|
Face Detection (I8)
|
75% |
448
5.15 IPS |
|
|
Text Classification (F32)
|
100% |
292
115.5 IPS |
|
|
Text Classification (F16)
|
100% |
293
115.7 IPS |
|
|
Machine Translation (F32)
|
100% |
616
94.9 IPS |
|
|
Machine Translation (F16)
|
100% |
638
98.4 IPS |
