HUAWEI NAM-LX9
Geekbench AI Score
609
Single Precision Score
1021
Half Precision Score
942
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 09 2025 11:44 PM |
| 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% |
435
80.9 IPS |
|
|
Image Classification (HP)
|
100% |
707
131.5 IPS |
|
|
Image Classification (Q)
|
99% |
650
121.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
659
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1153
18.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1085
17.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2236
2.61 IPS |
|
|
Pose Estimation (HP)
|
99% |
4118
4.80 IPS |
|
|
Pose Estimation (Q)
|
97% |
4056
4.75 IPS |
|
|
Object Detection (SP)
|
100% |
385
30.6 IPS |
|
|
Object Detection (HP)
|
99% |
603
47.9 IPS |
|
|
Object Detection (Q)
|
85% |
569
45.8 IPS |
|
|
Face Detection (SP)
|
100% |
1203
14.3 IPS |
|
|
Face Detection (HP)
|
100% |
2172
25.8 IPS |
|
|
Face Detection (Q)
|
97% |
1851
22.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1408
10.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
2389
18.5 IPS |
|
|
Depth Estimation (Q)
|
65% |
1982
17.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2845
3.66 IPS |
|
|
Style Transfer (HP)
|
100% |
6085
7.82 IPS |
|
|
Style Transfer (Q)
|
98% |
6032
7.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
641
23.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1067
39.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1060
39.3 IPS |
|
|
Text Classification (SP)
|
35% |
25
240.6 IPS |
|
|
Text Classification (HP)
|
35% |
36
329.4 IPS |
|
|
Text Classification (Q)
|
35% |
36
328.6 IPS |
|
|
Machine Translation (SP)
|
100% |
371
6.40 IPS |
|
|
Machine Translation (HP)
|
97% |
502
8.68 IPS |
|
|
Machine Translation (Q)
|
64% |
404
8.31 IPS |
