HUAWEI MNA-LX9
Geekbench AI Score
283
Single Precision Score
11099
Half Precision Score
29517
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | mpoloton |
| Upload Date | November 19 2025 03:06 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
215
40.0 IPS |
|
|
Image Classification (HP)
|
100% |
8537
1.59 KIPS |
|
|
Image Classification (Q)
|
99% |
24583
4.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
269
4.36 IPS |
|
|
Image Segmentation (HP)
|
100% |
6643
107.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
19549
317.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
331
0.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
37026
43.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
224579
263.3 IPS |
|
|
Object Detection (SP)
|
100% |
151
12.0 IPS |
|
|
Object Detection (HP)
|
100% |
7784
617.4 IPS |
|
|
Object Detection (Q)
|
88% |
11997
961.1 IPS |
|
|
Face Detection (SP)
|
100% |
396
4.70 IPS |
|
|
Face Detection (HP)
|
100% |
17829
211.9 IPS |
|
|
Face Detection (Q)
|
97% |
67327
802.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
343
2.65 IPS |
|
|
Depth Estimation (HP)
|
99% |
28042
216.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
65174
600.0 IPS |
|
|
Style Transfer (SP)
|
100% |
602
0.77 IPS |
|
|
Style Transfer (HP)
|
98% |
39159
50.5 IPS |
|
|
Style Transfer (Q)
|
98% |
225333
290.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
171
6.32 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21505
794.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
71535
2.65 KIPS |
|
|
Text Classification (SP)
|
100% |
220
293.0 IPS |
|
|
Text Classification (HP)
|
100% |
1913
2.55 KIPS |
|
|
Text Classification (Q)
|
94% |
4505
6.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
376
6.48 IPS |
|
|
Machine Translation (HP)
|
100% |
2155
37.1 IPS |
|
|
Machine Translation (Q)
|
50% |
1217
42.2 IPS |
