HUAWEI NAM-LX9
Geekbench AI Score
275
Single Precision Score
279
Half Precision Score
539
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 24 2025 12:18 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% |
166
30.9 IPS |
|
|
Image Classification (HP)
|
100% |
177
33.0 IPS |
|
|
Image Classification (Q)
|
100% |
486
90.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
164
2.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
173
2.80 IPS |
|
|
Image Segmentation (Q)
|
98% |
498
8.09 IPS |
|
|
Pose Estimation (SP)
|
100% |
650
0.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
663
0.77 IPS |
|
|
Pose Estimation (Q)
|
84% |
808
0.96 IPS |
|
|
Object Detection (SP)
|
100% |
130
10.3 IPS |
|
|
Object Detection (HP)
|
100% |
123
9.77 IPS |
|
|
Object Detection (Q)
|
83% |
375
30.3 IPS |
|
|
Face Detection (SP)
|
100% |
307
3.65 IPS |
|
|
Face Detection (HP)
|
100% |
305
3.63 IPS |
|
|
Face Detection (Q)
|
95% |
729
8.71 IPS |
|
|
Depth Estimation (SP)
|
100% |
426
3.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
418
3.22 IPS |
|
|
Depth Estimation (Q)
|
64% |
805
7.37 IPS |
|
|
Style Transfer (SP)
|
89% |
903
1.17 IPS |
|
|
Style Transfer (HP)
|
89% |
904
1.17 IPS |
|
|
Style Transfer (Q)
|
98% |
1761
2.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
242
8.94 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
243
8.99 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
450
16.7 IPS |
|
|
Text Classification (SP)
|
100% |
141
188.9 IPS |
|
|
Text Classification (HP)
|
100% |
155
206.5 IPS |
|
|
Text Classification (Q)
|
88% |
279
376.1 IPS |
|
|
Machine Translation (SP)
|
100% |
274
4.71 IPS |
|
|
Machine Translation (HP)
|
100% |
272
4.69 IPS |
|
|
Machine Translation (Q)
|
50% |
220
7.81 IPS |
