HUAWEI NAM-LX9
Geekbench AI Score
300
Single Precision Score
285
Half Precision Score
594
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | January 01 2026 09:11 PM |
| Views | 4 |
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% |
177
32.9 IPS |
|
|
Image Classification (HP)
|
100% |
158
29.5 IPS |
|
|
Image Classification (Q)
|
100% |
484
90.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
175
2.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
175
2.84 IPS |
|
|
Image Segmentation (Q)
|
98% |
519
8.44 IPS |
|
|
Pose Estimation (SP)
|
100% |
638
0.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
647
0.75 IPS |
|
|
Pose Estimation (Q)
|
84% |
1106
1.31 IPS |
|
|
Object Detection (SP)
|
100% |
154
12.2 IPS |
|
|
Object Detection (HP)
|
100% |
160
12.7 IPS |
|
|
Object Detection (Q)
|
83% |
482
38.9 IPS |
|
|
Face Detection (SP)
|
100% |
350
4.16 IPS |
|
|
Face Detection (HP)
|
100% |
288
3.43 IPS |
|
|
Face Detection (Q)
|
95% |
634
7.57 IPS |
|
|
Depth Estimation (SP)
|
100% |
402
3.10 IPS |
|
|
Depth Estimation (HP)
|
99% |
395
3.04 IPS |
|
|
Depth Estimation (Q)
|
64% |
786
7.20 IPS |
|
|
Style Transfer (SP)
|
89% |
875
1.14 IPS |
|
|
Style Transfer (HP)
|
89% |
875
1.14 IPS |
|
|
Style Transfer (Q)
|
98% |
2063
2.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
279
10.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
230
8.51 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
484
17.9 IPS |
|
|
Text Classification (SP)
|
100% |
162
215.9 IPS |
|
|
Text Classification (HP)
|
100% |
145
192.9 IPS |
|
|
Text Classification (Q)
|
88% |
279
376.1 IPS |
|
|
Machine Translation (SP)
|
100% |
358
6.17 IPS |
|
|
Machine Translation (HP)
|
100% |
373
6.42 IPS |
|
|
Machine Translation (Q)
|
50% |
295
10.5 IPS |
