HUAWEI NAM-LX9
Geekbench AI Score
285
Single Precision Score
276
Half Precision Score
566
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 16 2025 09:11 PM |
| Views | 2 |
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% |
182
33.8 IPS |
|
|
Image Classification (HP)
|
100% |
168
31.2 IPS |
|
|
Image Classification (Q)
|
100% |
487
90.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
173
2.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
178
2.88 IPS |
|
|
Image Segmentation (Q)
|
98% |
525
8.53 IPS |
|
|
Pose Estimation (SP)
|
100% |
649
0.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
650
0.76 IPS |
|
|
Pose Estimation (Q)
|
84% |
1093
1.30 IPS |
|
|
Object Detection (SP)
|
100% |
128
10.2 IPS |
|
|
Object Detection (HP)
|
100% |
120
9.50 IPS |
|
|
Object Detection (Q)
|
83% |
387
31.2 IPS |
|
|
Face Detection (SP)
|
100% |
308
3.66 IPS |
|
|
Face Detection (HP)
|
100% |
307
3.65 IPS |
|
|
Face Detection (Q)
|
95% |
687
8.21 IPS |
|
|
Depth Estimation (SP)
|
100% |
427
3.29 IPS |
|
|
Depth Estimation (HP)
|
99% |
426
3.28 IPS |
|
|
Depth Estimation (Q)
|
64% |
781
7.16 IPS |
|
|
Style Transfer (SP)
|
89% |
905
1.17 IPS |
|
|
Style Transfer (HP)
|
89% |
925
1.20 IPS |
|
|
Style Transfer (Q)
|
98% |
1806
2.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
243
8.96 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
237
8.75 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
450
16.7 IPS |
|
|
Text Classification (SP)
|
100% |
171
227.7 IPS |
|
|
Text Classification (HP)
|
100% |
142
189.5 IPS |
|
|
Text Classification (Q)
|
88% |
328
442.8 IPS |
|
|
Machine Translation (SP)
|
100% |
283
4.87 IPS |
|
|
Machine Translation (HP)
|
100% |
272
4.69 IPS |
|
|
Machine Translation (Q)
|
50% |
221
7.86 IPS |
