HUAWEI NAM-LX9
Geekbench AI Score
611
Single Precision Score
1013
Half Precision Score
939
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 09 2025 10:55 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% |
433
80.5 IPS |
|
|
Image Classification (HP)
|
100% |
681
126.7 IPS |
|
|
Image Classification (Q)
|
99% |
635
118.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
669
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1152
18.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1087
17.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2273
2.65 IPS |
|
|
Pose Estimation (HP)
|
99% |
4106
4.79 IPS |
|
|
Pose Estimation (Q)
|
97% |
4053
4.75 IPS |
|
|
Object Detection (SP)
|
100% |
384
30.5 IPS |
|
|
Object Detection (HP)
|
99% |
602
47.7 IPS |
|
|
Object Detection (Q)
|
85% |
565
45.5 IPS |
|
|
Face Detection (SP)
|
100% |
1199
14.2 IPS |
|
|
Face Detection (HP)
|
100% |
2163
25.7 IPS |
|
|
Face Detection (Q)
|
97% |
1858
22.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1416
10.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
2381
18.4 IPS |
|
|
Depth Estimation (Q)
|
65% |
1982
17.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2848
3.66 IPS |
|
|
Style Transfer (HP)
|
100% |
6068
7.80 IPS |
|
|
Style Transfer (Q)
|
98% |
6021
7.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
642
23.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1071
39.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1063
39.4 IPS |
|
|
Text Classification (SP)
|
35% |
25
241.2 IPS |
|
|
Text Classification (HP)
|
35% |
36
330.5 IPS |
|
|
Text Classification (Q)
|
35% |
36
326.4 IPS |
|
|
Machine Translation (SP)
|
100% |
372
6.41 IPS |
|
|
Machine Translation (HP)
|
97% |
489
8.46 IPS |
|
|
Machine Translation (Q)
|
64% |
400
8.22 IPS |
