HUAWEI NAM-LX9
Geekbench AI Score
929
Single Precision Score
924
Half Precision Score
2053
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 09 2025 07:25 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
87.2 IPS |
|
|
Image Classification (HP)
|
100% |
464
86.3 IPS |
|
|
Image Classification (Q)
|
100% |
1453
270.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
503
8.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
510
8.26 IPS |
|
|
Image Segmentation (Q)
|
98% |
1697
27.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2026
2.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
2009
2.34 IPS |
|
|
Pose Estimation (Q)
|
84% |
3764
4.46 IPS |
|
|
Object Detection (SP)
|
100% |
466
36.9 IPS |
|
|
Object Detection (HP)
|
100% |
465
36.9 IPS |
|
|
Object Detection (Q)
|
83% |
1414
114.3 IPS |
|
|
Face Detection (SP)
|
100% |
1107
13.2 IPS |
|
|
Face Detection (HP)
|
100% |
1104
13.1 IPS |
|
|
Face Detection (Q)
|
95% |
3449
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1496
11.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1478
11.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
3456
31.7 IPS |
|
|
Style Transfer (SP)
|
89% |
3665
4.76 IPS |
|
|
Style Transfer (HP)
|
89% |
3672
4.77 IPS |
|
|
Style Transfer (Q)
|
98% |
8611
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
900
33.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
896
33.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2074
76.9 IPS |
|
|
Text Classification (SP)
|
100% |
523
698.7 IPS |
|
|
Text Classification (HP)
|
100% |
513
684.6 IPS |
|
|
Text Classification (Q)
|
88% |
987
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
755
13.0 IPS |
|
|
Machine Translation (HP)
|
100% |
746
12.9 IPS |
|
|
Machine Translation (Q)
|
50% |
484
17.2 IPS |
