HUAWEI NAM-LX9
Geekbench AI Score
875
Single Precision Score
876
Half Precision Score
2006
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 09 2025 09:54 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
426
79.3 IPS |
|
|
Image Classification (HP)
|
100% |
450
83.8 IPS |
|
|
Image Classification (Q)
|
100% |
1450
269.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
520
8.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
498
8.06 IPS |
|
|
Image Segmentation (Q)
|
98% |
1686
27.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1778
2.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
1743
2.03 IPS |
|
|
Pose Estimation (Q)
|
84% |
3540
4.20 IPS |
|
|
Object Detection (SP)
|
100% |
394
31.3 IPS |
|
|
Object Detection (HP)
|
100% |
415
33.0 IPS |
|
|
Object Detection (Q)
|
83% |
1398
113.0 IPS |
|
|
Face Detection (SP)
|
100% |
1099
13.1 IPS |
|
|
Face Detection (HP)
|
100% |
1100
13.1 IPS |
|
|
Face Detection (Q)
|
95% |
3423
40.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1507
11.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1467
11.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
3432
31.4 IPS |
|
|
Style Transfer (SP)
|
89% |
3355
4.35 IPS |
|
|
Style Transfer (HP)
|
89% |
3305
4.29 IPS |
|
|
Style Transfer (Q)
|
98% |
8241
10.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
852
31.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
877
32.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2055
76.1 IPS |
|
|
Text Classification (SP)
|
100% |
510
680.3 IPS |
|
|
Text Classification (HP)
|
100% |
505
674.2 IPS |
|
|
Text Classification (Q)
|
88% |
987
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
706
12.2 IPS |
|
|
Machine Translation (HP)
|
100% |
695
12.0 IPS |
|
|
Machine Translation (Q)
|
50% |
445
15.8 IPS |
