LG G8 ThinQ
Geekbench ML Score
229
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 26 2022 01:20 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | LG G8 ThinQ |
| Model ID | LGE LM-G850 |
| Motherboard | msmnile |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 13 part 2052 revision 14 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 5.35 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
188
20.1 IPS |
|
|
Image Classification (F16)
|
100% |
189
20.2 IPS |
|
|
Image Classification (I8)
|
81% |
151
16.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
294
1.82 IPS |
|
|
Image Segmentation (F16)
|
100% |
295
1.82 IPS |
|
|
Image Segmentation (I8)
|
89% |
486
3.00 IPS |
|
|
Pose Estimation (F32)
|
100% |
152
0.61 IPS |
|
|
Pose Estimation (F16)
|
100% |
152
0.61 IPS |
|
|
Pose Estimation (I8)
|
80% |
130
0.53 IPS |
|
|
Object Detection (F32)
|
100% |
219
7.68 IPS |
|
|
Object Detection (F16)
|
100% |
222
7.78 IPS |
|
|
Object Detection (I8)
|
52% |
196
6.89 IPS |
|
|
Face Detection (F32)
|
100% |
361
4.14 IPS |
|
|
Face Detection (F16)
|
100% |
360
4.14 IPS |
|
|
Face Detection (I8)
|
75% |
322
3.70 IPS |
|
|
Text Classification (F32)
|
100% |
205
81.1 IPS |
|
|
Text Classification (F16)
|
100% |
207
81.7 IPS |
|
|
Machine Translation (F32)
|
100% |
250
38.5 IPS |
|
|
Machine Translation (F16)
|
100% |
251
38.6 IPS |
