HUAWEI MGA-LX9N
Geekbench ML Score
136
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | October 04 2025 06:14 PM |
| Views | 5 |
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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
67
7.15 IPS |
|
|
Image Classification (F16)
|
100% |
77
8.21 IPS |
|
|
Image Classification (I8)
|
81% |
164
17.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
183
1.13 IPS |
|
|
Image Segmentation (F16)
|
100% |
182
1.12 IPS |
|
|
Image Segmentation (I8)
|
89% |
441
2.72 IPS |
|
|
Pose Estimation (F32)
|
100% |
87
0.35 IPS |
|
|
Pose Estimation (F16)
|
100% |
83
0.33 IPS |
|
|
Pose Estimation (I8)
|
80% |
140
0.57 IPS |
|
|
Object Detection (F32)
|
100% |
111
3.91 IPS |
|
|
Object Detection (F16)
|
100% |
113
3.97 IPS |
|
|
Object Detection (I8)
|
52% |
264
9.27 IPS |
|
|
Face Detection (F32)
|
100% |
165
1.90 IPS |
|
|
Face Detection (F16)
|
100% |
166
1.91 IPS |
|
|
Face Detection (I8)
|
75% |
281
3.22 IPS |
|
|
Text Classification (F32)
|
100% |
140
55.4 IPS |
|
|
Text Classification (F16)
|
100% |
139
55.0 IPS |
|
|
Machine Translation (F32)
|
100% |
77
11.8 IPS |
|
|
Machine Translation (F16)
|
100% |
77
11.9 IPS |
