HUAWEI NAM-LX9
Geekbench AI Score
610
Single Precision Score
1017
Half Precision Score
940
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 10 2025 01:50 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
439
81.5 IPS |
|
|
Image Classification (HP)
|
100% |
701
130.4 IPS |
|
|
Image Classification (Q)
|
99% |
644
120.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
664
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1153
18.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1093
17.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2267
2.65 IPS |
|
|
Pose Estimation (HP)
|
99% |
4108
4.79 IPS |
|
|
Pose Estimation (Q)
|
97% |
4046
4.74 IPS |
|
|
Object Detection (SP)
|
100% |
384
30.4 IPS |
|
|
Object Detection (HP)
|
99% |
604
47.9 IPS |
|
|
Object Detection (Q)
|
85% |
570
45.8 IPS |
|
|
Face Detection (SP)
|
100% |
1196
14.2 IPS |
|
|
Face Detection (HP)
|
100% |
2162
25.7 IPS |
|
|
Face Detection (Q)
|
97% |
1854
22.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1408
10.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
2382
18.4 IPS |
|
|
Depth Estimation (Q)
|
65% |
1977
17.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2844
3.66 IPS |
|
|
Style Transfer (HP)
|
100% |
6074
7.81 IPS |
|
|
Style Transfer (Q)
|
98% |
6004
7.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
638
23.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1066
39.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1053
39.0 IPS |
|
|
Text Classification (SP)
|
35% |
25
239.1 IPS |
|
|
Text Classification (HP)
|
35% |
36
329.9 IPS |
|
|
Text Classification (Q)
|
35% |
36
323.2 IPS |
|
|
Machine Translation (SP)
|
100% |
371
6.38 IPS |
|
|
Machine Translation (HP)
|
97% |
494
8.54 IPS |
|
|
Machine Translation (Q)
|
64% |
398
8.18 IPS |
