HUAWEI NAM-LX9
Geekbench AI Score
892
Single Precision Score
874
Half Precision Score
2009
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 09 2025 10:00 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% |
465
86.5 IPS |
|
|
Image Classification (Q)
|
100% |
1442
268.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
512
8.30 IPS |
|
|
Image Segmentation (HP)
|
100% |
506
8.20 IPS |
|
|
Image Segmentation (Q)
|
98% |
1688
27.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1843
2.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
1783
2.08 IPS |
|
|
Pose Estimation (Q)
|
84% |
3567
4.23 IPS |
|
|
Object Detection (SP)
|
100% |
418
33.2 IPS |
|
|
Object Detection (HP)
|
100% |
426
33.8 IPS |
|
|
Object Detection (Q)
|
83% |
1409
113.8 IPS |
|
|
Face Detection (SP)
|
100% |
1108
13.2 IPS |
|
|
Face Detection (HP)
|
100% |
1109
13.2 IPS |
|
|
Face Detection (Q)
|
95% |
3444
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1521
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1416
10.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
3422
31.3 IPS |
|
|
Style Transfer (SP)
|
89% |
3402
4.42 IPS |
|
|
Style Transfer (HP)
|
89% |
3344
4.34 IPS |
|
|
Style Transfer (Q)
|
98% |
8281
10.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
845
31.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
794
29.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2032
75.3 IPS |
|
|
Text Classification (SP)
|
100% |
509
679.9 IPS |
|
|
Text Classification (HP)
|
100% |
504
672.7 IPS |
|
|
Text Classification (Q)
|
88% |
978
1.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
715
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
695
12.0 IPS |
|
|
Machine Translation (Q)
|
50% |
452
16.1 IPS |
