HUAWEI NAM-LX9
Geekbench AI Score
315
Single Precision Score
554
Half Precision Score
142
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 10 2025 06:38 PM |
| 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% |
298
55.4 IPS |
|
|
Image Classification (HP)
|
100% |
558
103.7 IPS |
|
|
Image Classification (Q)
|
94% |
17
3.24 IPS |
|
|
Image Segmentation (SP)
|
100% |
509
8.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
817
13.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
373
6.07 IPS |
|
|
Pose Estimation (SP)
|
100% |
912
1.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
3187
3.72 IPS |
|
|
Pose Estimation (Q)
|
98% |
883
1.03 IPS |
|
|
Object Detection (SP)
|
100% |
320
25.4 IPS |
|
|
Object Detection (HP)
|
99% |
541
43.0 IPS |
|
|
Object Detection (Q)
|
2% |
8
188.5 IPS |
|
|
Face Detection (SP)
|
100% |
802
9.53 IPS |
|
|
Face Detection (HP)
|
100% |
316
3.75 IPS |
|
|
Face Detection (Q)
|
97% |
739
8.82 IPS |
|
|
Depth Estimation (SP)
|
100% |
451
3.48 IPS |
|
|
Depth Estimation (HP)
|
99% |
276
2.13 IPS |
|
|
Depth Estimation (Q)
|
5% |
36
62.2 IPS |
|
|
Style Transfer (SP)
|
100% |
1283
1.65 IPS |
|
|
Style Transfer (HP)
|
100% |
476
0.61 IPS |
|
|
Style Transfer (Q)
|
98% |
1336
1.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
516
19.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1549
57.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
253
9.36 IPS |
|
|
Text Classification (SP)
|
100% |
4
5.39 IPS |
|
|
Text Classification (HP)
|
100% |
179
239.2 IPS |
|
|
Text Classification (Q)
|
93% |
30
40.8 IPS |
|
|
Machine Translation (SP)
|
100% |
227
3.92 IPS |
|
|
Machine Translation (HP)
|
100% |
302
5.20 IPS |
|
|
Machine Translation (Q)
|
57% |
282
6.89 IPS |
