HUAWEI NAM-LX9
Geekbench AI Score
926
Single Precision Score
927
Half Precision Score
2040
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 09 2025 09:16 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% |
467
86.9 IPS |
|
|
Image Classification (HP)
|
100% |
469
87.1 IPS |
|
|
Image Classification (Q)
|
100% |
1445
268.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
510
8.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
529
8.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
1673
27.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2015
2.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
1998
2.33 IPS |
|
|
Pose Estimation (Q)
|
84% |
3765
4.46 IPS |
|
|
Object Detection (SP)
|
100% |
445
35.3 IPS |
|
|
Object Detection (HP)
|
100% |
460
36.5 IPS |
|
|
Object Detection (Q)
|
83% |
1414
114.2 IPS |
|
|
Face Detection (SP)
|
100% |
1097
13.0 IPS |
|
|
Face Detection (HP)
|
100% |
1099
13.1 IPS |
|
|
Face Detection (Q)
|
95% |
3406
40.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1555
12.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1556
12.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
3427
31.4 IPS |
|
|
Style Transfer (SP)
|
89% |
3655
4.74 IPS |
|
|
Style Transfer (HP)
|
89% |
3647
4.73 IPS |
|
|
Style Transfer (Q)
|
98% |
8575
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
899
33.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
890
32.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2059
76.3 IPS |
|
|
Text Classification (SP)
|
100% |
516
689.0 IPS |
|
|
Text Classification (HP)
|
100% |
509
679.2 IPS |
|
|
Text Classification (Q)
|
88% |
987
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
751
12.9 IPS |
|
|
Machine Translation (HP)
|
100% |
734
12.6 IPS |
|
|
Machine Translation (Q)
|
50% |
479
17.0 IPS |
