HUAWEI MGA-LX9N
Geekbench ML Score
268
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | October 04 2025 06:23 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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
187
20.0 IPS |
|
|
Image Classification (F16)
|
100% |
310
33.2 IPS |
|
|
Image Classification (I8)
|
81% |
283
30.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
320
1.98 IPS |
|
|
Image Segmentation (F16)
|
100% |
819
5.06 IPS |
|
|
Image Segmentation (I8)
|
89% |
754
4.65 IPS |
|
|
Pose Estimation (F32)
|
100% |
80
0.33 IPS |
|
|
Pose Estimation (F16)
|
0% |
358
1.45 IPS |
|
|
Pose Estimation (I8)
|
0% |
355
1.44 IPS |
|
|
Object Detection (F32)
|
100% |
180
6.33 IPS |
|
|
Object Detection (F16)
|
99% |
295
10.4 IPS |
|
|
Object Detection (I8)
|
54% |
289
10.2 IPS |
|
|
Face Detection (F32)
|
100% |
308
3.54 IPS |
|
|
Face Detection (F16)
|
97% |
652
7.49 IPS |
|
|
Face Detection (I8)
|
75% |
568
6.53 IPS |
|
|
Text Classification (F32)
|
100% |
182
72.0 IPS |
|
|
Text Classification (F16)
|
46% |
228
90.3 IPS |
|
|
Machine Translation (F32)
|
100% |
77
11.8 IPS |
|
|
Machine Translation (F16)
|
100% |
76
11.7 IPS |
