HUAWEI NAM-LX9
Geekbench AI Score
919
Single Precision Score
915
Half Precision Score
2043
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 09 2025 08:56 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% |
468
87.0 IPS |
|
|
Image Classification (HP)
|
100% |
469
87.2 IPS |
|
|
Image Classification (Q)
|
100% |
1443
268.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
521
8.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
514
8.33 IPS |
|
|
Image Segmentation (Q)
|
98% |
1697
27.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2001
2.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
1977
2.31 IPS |
|
|
Pose Estimation (Q)
|
84% |
3764
4.46 IPS |
|
|
Object Detection (SP)
|
100% |
464
36.8 IPS |
|
|
Object Detection (HP)
|
100% |
462
36.7 IPS |
|
|
Object Detection (Q)
|
83% |
1410
113.9 IPS |
|
|
Face Detection (SP)
|
100% |
1114
13.2 IPS |
|
|
Face Detection (HP)
|
100% |
1110
13.2 IPS |
|
|
Face Detection (Q)
|
95% |
3435
41.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1372
10.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1393
10.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3400
31.1 IPS |
|
|
Style Transfer (SP)
|
89% |
3619
4.70 IPS |
|
|
Style Transfer (HP)
|
89% |
3622
4.70 IPS |
|
|
Style Transfer (Q)
|
98% |
8573
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
892
32.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
886
32.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2062
76.4 IPS |
|
|
Text Classification (SP)
|
100% |
513
684.7 IPS |
|
|
Text Classification (HP)
|
100% |
514
686.2 IPS |
|
|
Text Classification (Q)
|
88% |
986
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
752
12.9 IPS |
|
|
Machine Translation (HP)
|
100% |
740
12.8 IPS |
|
|
Machine Translation (Q)
|
50% |
479
17.0 IPS |
