LG G8 ThinQ
Geekbench ML Score
329
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 06 2023 06:34 PM |
| Views | 9 |
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% |
269
28.9 IPS |
|
|
Image Classification (F16)
|
100% |
266
28.5 IPS |
|
|
Image Classification (I8)
|
81% |
176
18.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
458
2.83 IPS |
|
|
Image Segmentation (F16)
|
100% |
467
2.88 IPS |
|
|
Image Segmentation (I8)
|
89% |
757
4.68 IPS |
|
|
Pose Estimation (F32)
|
100% |
208
0.84 IPS |
|
|
Pose Estimation (F16)
|
100% |
202
0.82 IPS |
|
|
Pose Estimation (I8)
|
80% |
205
0.83 IPS |
|
|
Object Detection (F32)
|
100% |
329
11.6 IPS |
|
|
Object Detection (F16)
|
100% |
332
11.6 IPS |
|
|
Object Detection (I8)
|
52% |
254
8.90 IPS |
|
|
Face Detection (F32)
|
100% |
492
5.65 IPS |
|
|
Face Detection (F16)
|
100% |
481
5.53 IPS |
|
|
Face Detection (I8)
|
75% |
483
5.55 IPS |
|
|
Text Classification (F32)
|
100% |
300
118.8 IPS |
|
|
Text Classification (F16)
|
100% |
303
120.0 IPS |
|
|
Machine Translation (F32)
|
100% |
368
56.8 IPS |
|
|
Machine Translation (F16)
|
100% |
375
57.8 IPS |
