LGE LM-G900N
Geekbench ML Score
221
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | November 06 2021 04:17 AM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | LGE LM-G900N |
| Model ID | LGE LM-G900N |
| Motherboard | lito |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 15 part 2052 revision 14 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 1 Core @ 2.21 GHz |
| Cluster 3 | 1 Core @ 2.30 GHz |
| Memory Information | |
|---|---|
| Size | 7.33 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
115
12.3 IPS |
|
|
Image Classification (F16)
|
100% |
105
11.3 IPS |
|
|
Image Classification (I8)
|
81% |
193
20.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
299
1.85 IPS |
|
|
Image Segmentation (F16)
|
100% |
295
1.82 IPS |
|
|
Image Segmentation (I8)
|
89% |
574
3.54 IPS |
|
|
Pose Estimation (F32)
|
100% |
142
0.57 IPS |
|
|
Pose Estimation (F16)
|
100% |
141
0.57 IPS |
|
|
Pose Estimation (I8)
|
80% |
146
0.59 IPS |
|
|
Object Detection (F32)
|
100% |
143
5.03 IPS |
|
|
Object Detection (F16)
|
100% |
154
5.42 IPS |
|
|
Object Detection (I8)
|
52% |
251
8.79 IPS |
|
|
Face Detection (F32)
|
100% |
291
3.35 IPS |
|
|
Face Detection (F16)
|
100% |
276
3.17 IPS |
|
|
Face Detection (I8)
|
75% |
427
4.90 IPS |
|
|
Text Classification (F32)
|
100% |
233
92.1 IPS |
|
|
Text Classification (F16)
|
100% |
232
91.9 IPS |
|
|
Machine Translation (F32)
|
100% |
323
49.7 IPS |
|
|
Machine Translation (F16)
|
100% |
322
49.6 IPS |
