HUAWEI NAM-LX9
Geekbench AI Score
313
Single Precision Score
553
Half Precision Score
142
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 10 2025 07:13 PM |
| Views | 2 |
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% |
297
55.3 IPS |
|
|
Image Classification (HP)
|
100% |
549
102.2 IPS |
|
|
Image Classification (Q)
|
94% |
17
3.24 IPS |
|
|
Image Segmentation (SP)
|
100% |
507
8.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
813
13.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
374
6.08 IPS |
|
|
Pose Estimation (SP)
|
100% |
910
1.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
3190
3.72 IPS |
|
|
Pose Estimation (Q)
|
98% |
880
1.03 IPS |
|
|
Object Detection (SP)
|
100% |
316
25.1 IPS |
|
|
Object Detection (HP)
|
99% |
543
43.1 IPS |
|
|
Object Detection (Q)
|
2% |
8
192.0 IPS |
|
|
Face Detection (SP)
|
100% |
789
9.37 IPS |
|
|
Face Detection (HP)
|
100% |
319
3.79 IPS |
|
|
Face Detection (Q)
|
97% |
741
8.84 IPS |
|
|
Depth Estimation (SP)
|
100% |
449
3.46 IPS |
|
|
Depth Estimation (HP)
|
99% |
277
2.14 IPS |
|
|
Depth Estimation (Q)
|
5% |
36
61.2 IPS |
|
|
Style Transfer (SP)
|
100% |
1287
1.65 IPS |
|
|
Style Transfer (HP)
|
100% |
477
0.61 IPS |
|
|
Style Transfer (Q)
|
98% |
1352
1.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
514
19.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1529
56.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
252
9.35 IPS |
|
|
Text Classification (SP)
|
100% |
4
5.41 IPS |
|
|
Text Classification (HP)
|
100% |
181
241.1 IPS |
|
|
Text Classification (Q)
|
93% |
31
41.2 IPS |
|
|
Machine Translation (SP)
|
100% |
228
3.93 IPS |
|
|
Machine Translation (HP)
|
100% |
299
5.16 IPS |
|
|
Machine Translation (Q)
|
57% |
282
6.89 IPS |
