HUAWEI NAM-LX9
Geekbench AI Score
609
Single Precision Score
1017
Half Precision Score
942
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 10 2025 01:02 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% |
434
80.7 IPS |
|
|
Image Classification (HP)
|
100% |
698
129.8 IPS |
|
|
Image Classification (Q)
|
99% |
650
121.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
660
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1144
18.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1097
17.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2269
2.65 IPS |
|
|
Pose Estimation (HP)
|
99% |
4112
4.80 IPS |
|
|
Pose Estimation (Q)
|
97% |
4055
4.75 IPS |
|
|
Object Detection (SP)
|
100% |
383
30.4 IPS |
|
|
Object Detection (HP)
|
99% |
601
47.6 IPS |
|
|
Object Detection (Q)
|
85% |
569
45.8 IPS |
|
|
Face Detection (SP)
|
100% |
1195
14.2 IPS |
|
|
Face Detection (HP)
|
100% |
2174
25.8 IPS |
|
|
Face Detection (Q)
|
97% |
1847
22.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1414
10.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
2385
18.4 IPS |
|
|
Depth Estimation (Q)
|
65% |
1977
17.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2847
3.66 IPS |
|
|
Style Transfer (HP)
|
100% |
6072
7.81 IPS |
|
|
Style Transfer (Q)
|
98% |
6021
7.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
641
23.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1086
40.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1069
39.6 IPS |
|
|
Text Classification (SP)
|
35% |
25
239.6 IPS |
|
|
Text Classification (HP)
|
35% |
36
330.5 IPS |
|
|
Text Classification (Q)
|
35% |
36
325.1 IPS |
|
|
Machine Translation (SP)
|
100% |
371
6.38 IPS |
|
|
Machine Translation (HP)
|
97% |
490
8.48 IPS |
|
|
Machine Translation (Q)
|
64% |
399
8.20 IPS |
