HUAWEI NAM-LX9
Geekbench AI Score
878
Single Precision Score
879
Half Precision Score
1998
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 09 2025 09:49 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% |
447
83.2 IPS |
|
|
Image Classification (HP)
|
100% |
441
82.1 IPS |
|
|
Image Classification (Q)
|
100% |
1446
268.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
508
8.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
508
8.24 IPS |
|
|
Image Segmentation (Q)
|
98% |
1696
27.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1983
2.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
1877
2.19 IPS |
|
|
Pose Estimation (Q)
|
84% |
3676
4.36 IPS |
|
|
Object Detection (SP)
|
100% |
416
33.0 IPS |
|
|
Object Detection (HP)
|
100% |
422
33.5 IPS |
|
|
Object Detection (Q)
|
83% |
1384
111.8 IPS |
|
|
Face Detection (SP)
|
100% |
1084
12.9 IPS |
|
|
Face Detection (HP)
|
100% |
1104
13.1 IPS |
|
|
Face Detection (Q)
|
95% |
3390
40.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1551
11.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1520
11.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3435
31.5 IPS |
|
|
Style Transfer (SP)
|
89% |
3355
4.36 IPS |
|
|
Style Transfer (HP)
|
89% |
3214
4.17 IPS |
|
|
Style Transfer (Q)
|
98% |
8255
10.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
835
30.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
850
31.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1974
73.1 IPS |
|
|
Text Classification (SP)
|
100% |
454
605.6 IPS |
|
|
Text Classification (HP)
|
100% |
506
675.0 IPS |
|
|
Text Classification (Q)
|
88% |
984
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
681
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
675
11.6 IPS |
|
|
Machine Translation (Q)
|
50% |
437
15.5 IPS |
