HUAWEI MNA-LX9
Geekbench AI Score
273
Single Precision Score
267
Half Precision Score
633
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | mpoloton |
| Upload Date | November 19 2025 02:55 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | HUAWEI MNA-LX9 |
| Model ID | HUAWEI MNA-LX9 |
| Motherboard | MNA |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 4 Cores @ 2.02 GHz |
| Cluster 2 | 3 Cores @ 2.75 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 7.23 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
200
37.1 IPS |
|
|
Image Classification (HP)
|
100% |
202
37.6 IPS |
|
|
Image Classification (Q)
|
99% |
582
108.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
256
4.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
198
3.20 IPS |
|
|
Image Segmentation (Q)
|
98% |
427
6.94 IPS |
|
|
Pose Estimation (SP)
|
100% |
272
0.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
272
0.32 IPS |
|
|
Pose Estimation (Q)
|
98% |
1026
1.20 IPS |
|
|
Object Detection (SP)
|
100% |
149
11.8 IPS |
|
|
Object Detection (HP)
|
100% |
149
11.8 IPS |
|
|
Object Detection (Q)
|
87% |
431
34.6 IPS |
|
|
Face Detection (SP)
|
100% |
394
4.68 IPS |
|
|
Face Detection (HP)
|
100% |
399
4.74 IPS |
|
|
Face Detection (Q)
|
97% |
875
10.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
343
2.65 IPS |
|
|
Depth Estimation (HP)
|
99% |
344
2.65 IPS |
|
|
Depth Estimation (Q)
|
64% |
836
7.59 IPS |
|
|
Style Transfer (SP)
|
100% |
600
0.77 IPS |
|
|
Style Transfer (HP)
|
100% |
600
0.77 IPS |
|
|
Style Transfer (Q)
|
98% |
1618
2.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
169
6.25 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
169
6.25 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
603
22.3 IPS |
|
|
Text Classification (SP)
|
100% |
220
293.0 IPS |
|
|
Text Classification (HP)
|
100% |
221
294.7 IPS |
|
|
Text Classification (Q)
|
91% |
392
527.0 IPS |
|
|
Machine Translation (SP)
|
100% |
369
6.36 IPS |
|
|
Machine Translation (HP)
|
100% |
370
6.37 IPS |
|
|
Machine Translation (Q)
|
57% |
336
8.21 IPS |
