LGE LM-V600
Geekbench ML Score
387
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | April 21 2022 06:34 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
356
38.1 IPS |
|
|
Image Classification (F16)
|
100% |
376
40.3 IPS |
|
|
Image Classification (I8)
|
81% |
211
22.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
545
3.37 IPS |
|
|
Image Segmentation (F16)
|
100% |
560
3.46 IPS |
|
|
Image Segmentation (I8)
|
89% |
832
5.14 IPS |
|
|
Pose Estimation (F32)
|
100% |
258
1.04 IPS |
|
|
Pose Estimation (F16)
|
100% |
257
1.04 IPS |
|
|
Pose Estimation (I8)
|
80% |
233
0.94 IPS |
|
|
Object Detection (F32)
|
100% |
310
10.9 IPS |
|
|
Object Detection (F16)
|
100% |
316
11.1 IPS |
|
|
Object Detection (I8)
|
52% |
270
9.49 IPS |
|
|
Face Detection (F32)
|
100% |
539
6.19 IPS |
|
|
Face Detection (F16)
|
100% |
540
6.20 IPS |
|
|
Face Detection (I8)
|
75% |
488
5.60 IPS |
|
|
Text Classification (F32)
|
100% |
342
135.3 IPS |
|
|
Text Classification (F16)
|
100% |
340
134.5 IPS |
|
|
Machine Translation (F32)
|
100% |
558
85.9 IPS |
|
|
Machine Translation (F16)
|
100% |
557
85.8 IPS |
