HUAWEI NAM-LX9
Geekbench AI Score
274
Single Precision Score
272
Half Precision Score
552
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 24 2025 03:48 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% |
162
30.1 IPS |
|
|
Image Classification (HP)
|
100% |
167
31.1 IPS |
|
|
Image Classification (Q)
|
100% |
479
89.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
178
2.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
177
2.87 IPS |
|
|
Image Segmentation (Q)
|
98% |
498
8.10 IPS |
|
|
Pose Estimation (SP)
|
100% |
648
0.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
546
0.64 IPS |
|
|
Pose Estimation (Q)
|
84% |
805
0.95 IPS |
|
|
Object Detection (SP)
|
100% |
120
9.51 IPS |
|
|
Object Detection (HP)
|
100% |
113
8.97 IPS |
|
|
Object Detection (Q)
|
83% |
378
30.5 IPS |
|
|
Face Detection (SP)
|
100% |
297
3.53 IPS |
|
|
Face Detection (HP)
|
100% |
306
3.63 IPS |
|
|
Face Detection (Q)
|
95% |
686
8.19 IPS |
|
|
Depth Estimation (SP)
|
100% |
410
3.16 IPS |
|
|
Depth Estimation (HP)
|
99% |
409
3.15 IPS |
|
|
Depth Estimation (Q)
|
64% |
748
6.85 IPS |
|
|
Style Transfer (SP)
|
89% |
931
1.21 IPS |
|
|
Style Transfer (HP)
|
89% |
932
1.21 IPS |
|
|
Style Transfer (Q)
|
98% |
1991
2.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
244
9.00 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
251
9.26 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
570
21.1 IPS |
|
|
Text Classification (SP)
|
100% |
142
190.1 IPS |
|
|
Text Classification (HP)
|
100% |
156
208.8 IPS |
|
|
Text Classification (Q)
|
88% |
326
439.9 IPS |
|
|
Machine Translation (SP)
|
100% |
273
4.71 IPS |
|
|
Machine Translation (HP)
|
100% |
271
4.68 IPS |
|
|
Machine Translation (Q)
|
50% |
191
6.77 IPS |
