HUAWEI NAM-LX9
Geekbench AI Score
271
Single Precision Score
278
Half Precision Score
524
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 24 2025 03:37 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM SM7325 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | HUAWEI NAM-LX9 |
| Model ID | HUAWEI NAM-LX9 |
| Motherboard | NAM |
| CPU Information | |
|---|---|
| Name | ARM SM7325 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.18 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
154
28.7 IPS |
|
|
Image Classification (HP)
|
100% |
127
23.7 IPS |
|
|
Image Classification (Q)
|
100% |
352
65.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
168
2.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
168
2.72 IPS |
|
|
Image Segmentation (Q)
|
98% |
391
6.35 IPS |
|
|
Pose Estimation (SP)
|
100% |
531
0.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
538
0.63 IPS |
|
|
Pose Estimation (Q)
|
84% |
821
0.97 IPS |
|
|
Object Detection (SP)
|
100% |
121
9.56 IPS |
|
|
Object Detection (HP)
|
100% |
132
10.4 IPS |
|
|
Object Detection (Q)
|
83% |
363
29.3 IPS |
|
|
Face Detection (SP)
|
100% |
298
3.55 IPS |
|
|
Face Detection (HP)
|
100% |
365
4.34 IPS |
|
|
Face Detection (Q)
|
95% |
686
8.19 IPS |
|
|
Depth Estimation (SP)
|
100% |
472
3.63 IPS |
|
|
Depth Estimation (HP)
|
99% |
417
3.21 IPS |
|
|
Depth Estimation (Q)
|
64% |
773
7.08 IPS |
|
|
Style Transfer (SP)
|
89% |
926
1.20 IPS |
|
|
Style Transfer (HP)
|
89% |
927
1.20 IPS |
|
|
Style Transfer (Q)
|
98% |
1736
2.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
238
8.79 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
257
9.50 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
504
18.7 IPS |
|
|
Text Classification (SP)
|
100% |
155
206.3 IPS |
|
|
Text Classification (HP)
|
100% |
141
188.6 IPS |
|
|
Text Classification (Q)
|
88% |
278
375.1 IPS |
|
|
Machine Translation (SP)
|
100% |
273
4.69 IPS |
|
|
Machine Translation (HP)
|
100% |
360
6.19 IPS |
|
|
Machine Translation (Q)
|
50% |
296
10.5 IPS |
