HUAWEI NAM-LX9
Geekbench AI Score
282
Single Precision Score
524
Half Precision Score
140
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 23 2025 11:43 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
271
50.3 IPS |
|
|
Image Classification (HP)
|
100% |
487
90.6 IPS |
|
|
Image Classification (Q)
|
94% |
17
3.24 IPS |
|
|
Image Segmentation (SP)
|
100% |
444
7.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
765
12.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
372
6.05 IPS |
|
|
Pose Estimation (SP)
|
100% |
754
0.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
2681
3.13 IPS |
|
|
Pose Estimation (Q)
|
98% |
877
1.03 IPS |
|
|
Object Detection (SP)
|
100% |
279
22.1 IPS |
|
|
Object Detection (HP)
|
99% |
483
38.3 IPS |
|
|
Object Detection (Q)
|
2% |
8
189.1 IPS |
|
|
Face Detection (SP)
|
100% |
689
8.19 IPS |
|
|
Face Detection (HP)
|
100% |
319
3.79 IPS |
|
|
Face Detection (Q)
|
97% |
732
8.73 IPS |
|
|
Depth Estimation (SP)
|
100% |
427
3.29 IPS |
|
|
Depth Estimation (HP)
|
99% |
276
2.13 IPS |
|
|
Depth Estimation (Q)
|
5% |
35
60.1 IPS |
|
|
Style Transfer (SP)
|
100% |
1138
1.46 IPS |
|
|
Style Transfer (HP)
|
100% |
478
0.61 IPS |
|
|
Style Transfer (Q)
|
98% |
1339
1.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
437
16.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1423
52.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
251
9.29 IPS |
|
|
Text Classification (SP)
|
100% |
4
5.37 IPS |
|
|
Text Classification (HP)
|
100% |
181
241.0 IPS |
|
|
Text Classification (Q)
|
93% |
29
39.5 IPS |
|
|
Machine Translation (SP)
|
100% |
221
3.80 IPS |
|
|
Machine Translation (HP)
|
100% |
300
5.17 IPS |
|
|
Machine Translation (Q)
|
57% |
273
6.67 IPS |
