HUAWEI NAM-LX9
Geekbench AI Score
300
Single Precision Score
289
Half Precision Score
603
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | January 01 2026 08:03 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% |
178
33.2 IPS |
|
|
Image Classification (HP)
|
100% |
164
30.5 IPS |
|
|
Image Classification (Q)
|
100% |
483
89.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
162
2.63 IPS |
|
|
Image Segmentation (HP)
|
100% |
163
2.63 IPS |
|
|
Image Segmentation (Q)
|
98% |
491
7.99 IPS |
|
|
Pose Estimation (SP)
|
100% |
637
0.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
640
0.75 IPS |
|
|
Pose Estimation (Q)
|
84% |
1089
1.29 IPS |
|
|
Object Detection (SP)
|
100% |
158
12.5 IPS |
|
|
Object Detection (HP)
|
100% |
157
12.5 IPS |
|
|
Object Detection (Q)
|
83% |
504
40.7 IPS |
|
|
Face Detection (SP)
|
100% |
360
4.27 IPS |
|
|
Face Detection (HP)
|
100% |
351
4.17 IPS |
|
|
Face Detection (Q)
|
95% |
876
10.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
512
3.95 IPS |
|
|
Depth Estimation (HP)
|
99% |
504
3.88 IPS |
|
|
Depth Estimation (Q)
|
64% |
1039
9.52 IPS |
|
|
Style Transfer (SP)
|
89% |
1147
1.49 IPS |
|
|
Style Transfer (HP)
|
89% |
1144
1.49 IPS |
|
|
Style Transfer (Q)
|
98% |
1908
2.46 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
261
9.62 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
223
8.25 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
480
17.8 IPS |
|
|
Text Classification (SP)
|
100% |
142
189.8 IPS |
|
|
Text Classification (HP)
|
100% |
123
164.3 IPS |
|
|
Text Classification (Q)
|
88% |
326
439.5 IPS |
|
|
Machine Translation (SP)
|
100% |
267
4.61 IPS |
|
|
Machine Translation (HP)
|
100% |
280
4.82 IPS |
|
|
Machine Translation (Q)
|
50% |
181
6.41 IPS |
