HUAWEI MGA-LX9N
Geekbench ML Score
91
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | October 04 2025 06:34 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | Android 10 |
| Model | HUAWEI MGA-LX9N |
| Model ID | HUAWEI MGA-LX9N |
| Motherboard | MGA |
| CPU Information | |
|---|---|
| Name | ARM vendor |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3337 revision 2 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores @ 1.70 GHz |
| Cluster 2 | 4 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 3.60 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
49
5.20 IPS |
|
|
Image Classification (F16)
|
100% |
40
4.24 IPS |
|
|
Image Classification (I8)
|
81% |
109
11.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
146
0.90 IPS |
|
|
Image Segmentation (F16)
|
100% |
145
0.90 IPS |
|
|
Image Segmentation (I8)
|
89% |
187
1.16 IPS |
|
|
Pose Estimation (F32)
|
100% |
64
0.26 IPS |
|
|
Pose Estimation (F16)
|
100% |
64
0.26 IPS |
|
|
Pose Estimation (I8)
|
80% |
34
0.14 IPS |
|
|
Object Detection (F32)
|
100% |
65
2.28 IPS |
|
|
Object Detection (F16)
|
100% |
65
2.28 IPS |
|
|
Object Detection (I8)
|
52% |
155
5.46 IPS |
|
|
Face Detection (F32)
|
100% |
111
1.28 IPS |
|
|
Face Detection (F16)
|
100% |
112
1.29 IPS |
|
|
Face Detection (I8)
|
75% |
144
1.66 IPS |
|
|
Text Classification (F32)
|
100% |
147
58.0 IPS |
|
|
Text Classification (F16)
|
100% |
147
58.2 IPS |
|
|
Machine Translation (F32)
|
100% |
77
11.8 IPS |
|
|
Machine Translation (F16)
|
100% |
77
11.9 IPS |
