HUAWEI MNA-LX9
Geekbench AI Score
761
Single Precision Score
1038
Half Precision Score
1001
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | mpoloton |
| Upload Date | November 19 2025 02:41 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
589
109.5 IPS |
|
|
Image Classification (HP)
|
100% |
513
95.4 IPS |
|
|
Image Classification (Q)
|
97% |
471
87.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1016
16.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1221
19.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1170
19.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
752
0.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
1316
1.54 IPS |
|
|
Pose Estimation (Q)
|
95% |
1309
1.53 IPS |
|
|
Object Detection (SP)
|
100% |
437
34.6 IPS |
|
|
Object Detection (HP)
|
100% |
702
55.7 IPS |
|
|
Object Detection (Q)
|
89% |
712
57.0 IPS |
|
|
Face Detection (SP)
|
100% |
1752
20.8 IPS |
|
|
Face Detection (HP)
|
100% |
2624
31.2 IPS |
|
|
Face Detection (Q)
|
97% |
1599
19.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1144
8.81 IPS |
|
|
Depth Estimation (HP)
|
99% |
2656
20.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
2124
20.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2910
3.74 IPS |
|
|
Style Transfer (HP)
|
100% |
6480
8.33 IPS |
|
|
Style Transfer (Q)
|
98% |
6556
8.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
381
14.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
492
18.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
480
17.8 IPS |
|
|
Text Classification (SP)
|
100% |
308
410.8 IPS |
|
|
Text Classification (HP)
|
100% |
307
410.2 IPS |
|
|
Text Classification (Q)
|
91% |
554
744.2 IPS |
|
|
Machine Translation (SP)
|
100% |
486
8.38 IPS |
|
|
Machine Translation (HP)
|
100% |
370
6.38 IPS |
|
|
Machine Translation (Q)
|
57% |
335
8.20 IPS |
