HUAWEI NAM-LX9
Geekbench AI Score
303
Single Precision Score
296
Half Precision Score
593
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | January 01 2026 08:42 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% |
179
33.3 IPS |
|
|
Image Classification (HP)
|
100% |
159
29.6 IPS |
|
|
Image Classification (Q)
|
100% |
484
90.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
176
2.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
163
2.64 IPS |
|
|
Image Segmentation (Q)
|
98% |
518
8.42 IPS |
|
|
Pose Estimation (SP)
|
100% |
639
0.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
647
0.75 IPS |
|
|
Pose Estimation (Q)
|
84% |
1103
1.31 IPS |
|
|
Object Detection (SP)
|
100% |
153
12.2 IPS |
|
|
Object Detection (HP)
|
100% |
160
12.7 IPS |
|
|
Object Detection (Q)
|
83% |
481
38.8 IPS |
|
|
Face Detection (SP)
|
100% |
351
4.17 IPS |
|
|
Face Detection (HP)
|
100% |
359
4.27 IPS |
|
|
Face Detection (Q)
|
95% |
876
10.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
511
3.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
508
3.91 IPS |
|
|
Depth Estimation (Q)
|
64% |
1037
9.50 IPS |
|
|
Style Transfer (SP)
|
89% |
1160
1.51 IPS |
|
|
Style Transfer (HP)
|
89% |
1158
1.50 IPS |
|
|
Style Transfer (Q)
|
98% |
1705
2.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
242
8.94 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
237
8.75 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
508
18.8 IPS |
|
|
Text Classification (SP)
|
100% |
161
215.0 IPS |
|
|
Text Classification (HP)
|
100% |
145
192.9 IPS |
|
|
Text Classification (Q)
|
88% |
292
394.2 IPS |
|
|
Machine Translation (SP)
|
100% |
268
4.61 IPS |
|
|
Machine Translation (HP)
|
100% |
267
4.60 IPS |
|
|
Machine Translation (Q)
|
50% |
176
6.26 IPS |
