HUAWEI NAM-LX9
Geekbench AI Score
313
Single Precision Score
552
Half Precision Score
141
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 16 2025 02:01 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
296
55.1 IPS |
|
|
Image Classification (HP)
|
100% |
534
99.2 IPS |
|
|
Image Classification (Q)
|
94% |
17
3.27 IPS |
|
|
Image Segmentation (SP)
|
100% |
505
8.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
811
13.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
374
6.08 IPS |
|
|
Pose Estimation (SP)
|
100% |
906
1.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
3185
3.72 IPS |
|
|
Pose Estimation (Q)
|
98% |
884
1.04 IPS |
|
|
Object Detection (SP)
|
100% |
317
25.1 IPS |
|
|
Object Detection (HP)
|
99% |
540
42.8 IPS |
|
|
Object Detection (Q)
|
2% |
8
194.4 IPS |
|
|
Face Detection (SP)
|
100% |
792
9.41 IPS |
|
|
Face Detection (HP)
|
100% |
321
3.82 IPS |
|
|
Face Detection (Q)
|
97% |
744
8.87 IPS |
|
|
Depth Estimation (SP)
|
100% |
451
3.48 IPS |
|
|
Depth Estimation (HP)
|
99% |
279
2.15 IPS |
|
|
Depth Estimation (Q)
|
5% |
35
60.8 IPS |
|
|
Style Transfer (SP)
|
100% |
1270
1.63 IPS |
|
|
Style Transfer (HP)
|
100% |
477
0.61 IPS |
|
|
Style Transfer (Q)
|
98% |
1347
1.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
514
19.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1512
55.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
251
9.31 IPS |
|
|
Text Classification (SP)
|
100% |
4
5.40 IPS |
|
|
Text Classification (HP)
|
100% |
181
241.2 IPS |
|
|
Text Classification (Q)
|
93% |
30
40.8 IPS |
|
|
Machine Translation (SP)
|
100% |
230
3.96 IPS |
|
|
Machine Translation (HP)
|
100% |
303
5.21 IPS |
|
|
Machine Translation (Q)
|
57% |
275
6.72 IPS |
