HUAWEI NAM-LX9
Geekbench AI Score
916
Single Precision Score
906
Half Precision Score
2039
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 09 2025 10:36 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% |
461
85.8 IPS |
|
|
Image Classification (HP)
|
100% |
440
81.8 IPS |
|
|
Image Classification (Q)
|
100% |
1435
266.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
511
8.28 IPS |
|
|
Image Segmentation (HP)
|
100% |
480
7.79 IPS |
|
|
Image Segmentation (Q)
|
98% |
1678
27.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1891
2.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
1940
2.26 IPS |
|
|
Pose Estimation (Q)
|
84% |
3759
4.46 IPS |
|
|
Object Detection (SP)
|
100% |
445
35.3 IPS |
|
|
Object Detection (HP)
|
100% |
444
35.2 IPS |
|
|
Object Detection (Q)
|
83% |
1406
113.6 IPS |
|
|
Face Detection (SP)
|
100% |
1104
13.1 IPS |
|
|
Face Detection (HP)
|
100% |
1102
13.1 IPS |
|
|
Face Detection (Q)
|
95% |
3430
40.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1570
12.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1551
11.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
3449
31.6 IPS |
|
|
Style Transfer (SP)
|
89% |
3638
4.72 IPS |
|
|
Style Transfer (HP)
|
89% |
3660
4.75 IPS |
|
|
Style Transfer (Q)
|
98% |
8581
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
874
32.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
884
32.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2060
76.3 IPS |
|
|
Text Classification (SP)
|
100% |
517
689.9 IPS |
|
|
Text Classification (HP)
|
100% |
509
679.6 IPS |
|
|
Text Classification (Q)
|
88% |
979
1.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
744
12.8 IPS |
|
|
Machine Translation (HP)
|
100% |
733
12.6 IPS |
|
|
Machine Translation (Q)
|
50% |
477
16.9 IPS |
