HUAWEI NAM-LX9
Geekbench AI Score
313
Single Precision Score
552
Half Precision Score
142
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 10 2025 05:59 AM |
| 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% |
297
55.3 IPS |
|
|
Image Classification (HP)
|
100% |
566
105.2 IPS |
|
|
Image Classification (Q)
|
94% |
17
3.24 IPS |
|
|
Image Segmentation (SP)
|
100% |
506
8.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
812
13.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
374
6.08 IPS |
|
|
Pose Estimation (SP)
|
100% |
909
1.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
3188
3.72 IPS |
|
|
Pose Estimation (Q)
|
98% |
875
1.02 IPS |
|
|
Object Detection (SP)
|
100% |
318
25.2 IPS |
|
|
Object Detection (HP)
|
99% |
542
43.0 IPS |
|
|
Object Detection (Q)
|
2% |
8
192.7 IPS |
|
|
Face Detection (SP)
|
100% |
790
9.38 IPS |
|
|
Face Detection (HP)
|
100% |
317
3.76 IPS |
|
|
Face Detection (Q)
|
97% |
738
8.80 IPS |
|
|
Depth Estimation (SP)
|
100% |
447
3.44 IPS |
|
|
Depth Estimation (HP)
|
99% |
275
2.12 IPS |
|
|
Depth Estimation (Q)
|
5% |
36
61.2 IPS |
|
|
Style Transfer (SP)
|
100% |
1277
1.64 IPS |
|
|
Style Transfer (HP)
|
100% |
471
0.61 IPS |
|
|
Style Transfer (Q)
|
98% |
1347
1.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
515
19.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1506
55.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
252
9.35 IPS |
|
|
Text Classification (SP)
|
100% |
4
5.29 IPS |
|
|
Text Classification (HP)
|
100% |
181
241.5 IPS |
|
|
Text Classification (Q)
|
93% |
30
40.3 IPS |
|
|
Machine Translation (SP)
|
100% |
230
3.95 IPS |
|
|
Machine Translation (HP)
|
100% |
300
5.16 IPS |
|
|
Machine Translation (Q)
|
57% |
282
6.90 IPS |
