HUAWEI NAM-LX9
Geekbench AI Score
883
Single Precision Score
881
Half Precision Score
2027
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 09 2025 10:20 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% |
456
84.8 IPS |
|
|
Image Classification (HP)
|
100% |
433
80.6 IPS |
|
|
Image Classification (Q)
|
100% |
1414
262.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
468
7.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
458
7.42 IPS |
|
|
Image Segmentation (Q)
|
98% |
1672
27.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1658
1.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
1688
1.97 IPS |
|
|
Pose Estimation (Q)
|
84% |
3543
4.20 IPS |
|
|
Object Detection (SP)
|
100% |
403
32.0 IPS |
|
|
Object Detection (HP)
|
100% |
419
33.3 IPS |
|
|
Object Detection (Q)
|
83% |
1401
113.2 IPS |
|
|
Face Detection (SP)
|
100% |
1109
13.2 IPS |
|
|
Face Detection (HP)
|
100% |
1108
13.2 IPS |
|
|
Face Detection (Q)
|
95% |
3444
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1499
11.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1499
11.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
3458
31.7 IPS |
|
|
Style Transfer (SP)
|
89% |
3548
4.61 IPS |
|
|
Style Transfer (HP)
|
89% |
3541
4.60 IPS |
|
|
Style Transfer (Q)
|
98% |
8559
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
885
32.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
900
33.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2071
76.7 IPS |
|
|
Text Classification (SP)
|
100% |
520
693.5 IPS |
|
|
Text Classification (HP)
|
100% |
515
687.6 IPS |
|
|
Text Classification (Q)
|
88% |
989
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
752
12.9 IPS |
|
|
Machine Translation (HP)
|
100% |
737
12.7 IPS |
|
|
Machine Translation (Q)
|
50% |
478
17.0 IPS |
