LGE LM-V600
Geekbench ML Score
372
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 03 2023 05:55 PM |
| Views | 2 |
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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
374
40.1 IPS |
|
|
Image Classification (F16)
|
100% |
259
27.7 IPS |
|
|
Image Classification (I8)
|
81% |
199
21.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
551
3.40 IPS |
|
|
Image Segmentation (F16)
|
100% |
551
3.40 IPS |
|
|
Image Segmentation (I8)
|
89% |
870
5.37 IPS |
|
|
Pose Estimation (F32)
|
100% |
258
1.04 IPS |
|
|
Pose Estimation (F16)
|
100% |
261
1.06 IPS |
|
|
Pose Estimation (I8)
|
80% |
237
0.96 IPS |
|
|
Object Detection (F32)
|
100% |
341
12.0 IPS |
|
|
Object Detection (F16)
|
100% |
338
11.9 IPS |
|
|
Object Detection (I8)
|
52% |
272
9.56 IPS |
|
|
Face Detection (F32)
|
100% |
499
5.74 IPS |
|
|
Face Detection (F16)
|
100% |
515
5.92 IPS |
|
|
Face Detection (I8)
|
75% |
520
5.98 IPS |
|
|
Text Classification (F32)
|
100% |
262
103.7 IPS |
|
|
Text Classification (F16)
|
100% |
279
110.5 IPS |
|
|
Machine Translation (F32)
|
100% |
537
82.7 IPS |
|
|
Machine Translation (F16)
|
100% |
537
82.7 IPS |
