HUAWEI NAM-LX9
Geekbench AI Score
314
Single Precision Score
553
Half Precision Score
143
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 10 2025 04:55 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
295
54.8 IPS |
|
|
Image Classification (HP)
|
100% |
546
101.5 IPS |
|
|
Image Classification (Q)
|
94% |
17
3.26 IPS |
|
|
Image Segmentation (SP)
|
100% |
507
8.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
815
13.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
375
6.09 IPS |
|
|
Pose Estimation (SP)
|
100% |
910
1.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
3170
3.70 IPS |
|
|
Pose Estimation (Q)
|
98% |
881
1.03 IPS |
|
|
Object Detection (SP)
|
100% |
318
25.2 IPS |
|
|
Object Detection (HP)
|
99% |
541
42.9 IPS |
|
|
Object Detection (Q)
|
2% |
8
194.5 IPS |
|
|
Face Detection (SP)
|
100% |
796
9.46 IPS |
|
|
Face Detection (HP)
|
100% |
320
3.80 IPS |
|
|
Face Detection (Q)
|
97% |
742
8.85 IPS |
|
|
Depth Estimation (SP)
|
100% |
451
3.47 IPS |
|
|
Depth Estimation (HP)
|
99% |
279
2.15 IPS |
|
|
Depth Estimation (Q)
|
5% |
36
61.9 IPS |
|
|
Style Transfer (SP)
|
100% |
1286
1.65 IPS |
|
|
Style Transfer (HP)
|
100% |
477
0.61 IPS |
|
|
Style Transfer (Q)
|
98% |
1364
1.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
515
19.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1535
56.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
253
9.36 IPS |
|
|
Text Classification (SP)
|
100% |
4
5.45 IPS |
|
|
Text Classification (HP)
|
100% |
180
240.0 IPS |
|
|
Text Classification (Q)
|
93% |
31
41.0 IPS |
|
|
Machine Translation (SP)
|
100% |
228
3.92 IPS |
|
|
Machine Translation (HP)
|
100% |
300
5.17 IPS |
|
|
Machine Translation (Q)
|
57% |
283
6.91 IPS |
