HUAWEI NAM-LX9
Geekbench AI Score
279
Single Precision Score
280
Half Precision Score
575
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | January 01 2026 08:54 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% |
163
30.4 IPS |
|
|
Image Classification (HP)
|
100% |
160
29.7 IPS |
|
|
Image Classification (Q)
|
100% |
483
89.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
172
2.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
162
2.63 IPS |
|
|
Image Segmentation (Q)
|
98% |
518
8.42 IPS |
|
|
Pose Estimation (SP)
|
100% |
638
0.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
499
0.58 IPS |
|
|
Pose Estimation (Q)
|
84% |
785
0.93 IPS |
|
|
Object Detection (SP)
|
100% |
117
9.32 IPS |
|
|
Object Detection (HP)
|
100% |
154
12.2 IPS |
|
|
Object Detection (Q)
|
83% |
482
38.9 IPS |
|
|
Face Detection (SP)
|
100% |
360
4.28 IPS |
|
|
Face Detection (HP)
|
100% |
359
4.27 IPS |
|
|
Face Detection (Q)
|
95% |
880
10.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
492
3.79 IPS |
|
|
Depth Estimation (HP)
|
99% |
477
3.68 IPS |
|
|
Depth Estimation (Q)
|
64% |
745
6.82 IPS |
|
|
Style Transfer (SP)
|
89% |
877
1.14 IPS |
|
|
Style Transfer (HP)
|
89% |
874
1.13 IPS |
|
|
Style Transfer (Q)
|
98% |
1924
2.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
231
8.53 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
232
8.56 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
480
17.8 IPS |
|
|
Text Classification (SP)
|
100% |
145
194.1 IPS |
|
|
Text Classification (HP)
|
100% |
159
212.2 IPS |
|
|
Text Classification (Q)
|
88% |
324
437.4 IPS |
|
|
Machine Translation (SP)
|
100% |
268
4.61 IPS |
|
|
Machine Translation (HP)
|
100% |
277
4.76 IPS |
|
|
Machine Translation (Q)
|
50% |
216
7.66 IPS |
