LG G8 ThinQ
Geekbench ML Score
773
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 26 2022 01:11 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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
547
58.6 IPS |
|
|
Image Classification (F16)
|
100% |
892
95.6 IPS |
|
|
Image Classification (I8)
|
80% |
873
93.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1297
8.01 IPS |
|
|
Image Segmentation (F16)
|
100% |
2408
14.9 IPS |
|
|
Image Segmentation (I8)
|
89% |
2362
14.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
692
2.80 IPS |
|
|
Pose Estimation (F16)
|
100% |
1219
4.93 IPS |
|
|
Pose Estimation (I8)
|
80% |
1203
4.87 IPS |
|
|
Object Detection (F32)
|
100% |
333
11.7 IPS |
|
|
Object Detection (F16)
|
99% |
396
13.9 IPS |
|
|
Object Detection (I8)
|
53% |
366
12.9 IPS |
|
|
Face Detection (F32)
|
100% |
1161
13.3 IPS |
|
|
Face Detection (F16)
|
97% |
1997
22.9 IPS |
|
|
Face Detection (I8)
|
76% |
1788
20.5 IPS |
|
|
Text Classification (F32)
|
100% |
403
159.3 IPS |
|
|
Text Classification (F16)
|
98% |
454
179.5 IPS |
|
|
Machine Translation (F32)
|
100% |
255
39.3 IPS |
|
|
Machine Translation (F16)
|
100% |
254
39.2 IPS |
