HUAWEI NAM-LX9
Geekbench AI Score
928
Single Precision Score
932
Half Precision Score
2038
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 09 2025 07:33 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% |
469
87.1 IPS |
|
|
Image Classification (HP)
|
100% |
468
87.0 IPS |
|
|
Image Classification (Q)
|
100% |
1444
268.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
512
8.30 IPS |
|
|
Image Segmentation (HP)
|
100% |
520
8.43 IPS |
|
|
Image Segmentation (Q)
|
98% |
1689
27.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1998
2.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
2007
2.34 IPS |
|
|
Pose Estimation (Q)
|
84% |
3756
4.45 IPS |
|
|
Object Detection (SP)
|
100% |
460
36.5 IPS |
|
|
Object Detection (HP)
|
100% |
462
36.7 IPS |
|
|
Object Detection (Q)
|
83% |
1387
112.0 IPS |
|
|
Face Detection (SP)
|
100% |
1098
13.0 IPS |
|
|
Face Detection (HP)
|
100% |
1116
13.3 IPS |
|
|
Face Detection (Q)
|
95% |
3427
40.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1572
12.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1581
12.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
3458
31.7 IPS |
|
|
Style Transfer (SP)
|
89% |
3612
4.69 IPS |
|
|
Style Transfer (HP)
|
89% |
3587
4.66 IPS |
|
|
Style Transfer (Q)
|
98% |
8477
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
873
32.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
897
33.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2062
76.4 IPS |
|
|
Text Classification (SP)
|
100% |
524
699.0 IPS |
|
|
Text Classification (HP)
|
100% |
516
688.6 IPS |
|
|
Text Classification (Q)
|
88% |
985
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
755
13.0 IPS |
|
|
Machine Translation (HP)
|
100% |
749
12.9 IPS |
|
|
Machine Translation (Q)
|
50% |
478
17.0 IPS |
