HUAWEI NAM-LX9
Geekbench AI Score
262
Single Precision Score
258
Half Precision Score
526
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 18 2025 02:56 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% |
186
34.6 IPS |
|
|
Image Classification (HP)
|
100% |
158
29.4 IPS |
|
|
Image Classification (Q)
|
100% |
486
90.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
162
2.63 IPS |
|
|
Image Segmentation (HP)
|
100% |
172
2.78 IPS |
|
|
Image Segmentation (Q)
|
98% |
519
8.44 IPS |
|
|
Pose Estimation (SP)
|
100% |
635
0.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
498
0.58 IPS |
|
|
Pose Estimation (Q)
|
84% |
802
0.95 IPS |
|
|
Object Detection (SP)
|
100% |
112
8.92 IPS |
|
|
Object Detection (HP)
|
100% |
124
9.85 IPS |
|
|
Object Detection (Q)
|
83% |
360
29.1 IPS |
|
|
Face Detection (SP)
|
100% |
282
3.36 IPS |
|
|
Face Detection (HP)
|
100% |
275
3.27 IPS |
|
|
Face Detection (Q)
|
95% |
644
7.69 IPS |
|
|
Depth Estimation (SP)
|
100% |
393
3.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
401
3.09 IPS |
|
|
Depth Estimation (Q)
|
64% |
755
6.91 IPS |
|
|
Style Transfer (SP)
|
89% |
873
1.13 IPS |
|
|
Style Transfer (HP)
|
89% |
876
1.14 IPS |
|
|
Style Transfer (Q)
|
98% |
1840
2.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
244
9.02 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
228
8.41 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
491
18.2 IPS |
|
|
Text Classification (SP)
|
100% |
115
153.3 IPS |
|
|
Text Classification (HP)
|
100% |
136
181.9 IPS |
|
|
Text Classification (Q)
|
88% |
286
385.1 IPS |
|
|
Machine Translation (SP)
|
100% |
268
4.61 IPS |
|
|
Machine Translation (HP)
|
100% |
266
4.59 IPS |
|
|
Machine Translation (Q)
|
50% |
180
6.39 IPS |
