HUAWEI NAM-LX9
Geekbench AI Score
314
Single Precision Score
554
Half Precision Score
143
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 10 2025 05:15 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% |
297
55.2 IPS |
|
|
Image Classification (HP)
|
100% |
555
103.2 IPS |
|
|
Image Classification (Q)
|
94% |
17
3.24 IPS |
|
|
Image Segmentation (SP)
|
100% |
509
8.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
837
13.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
374
6.09 IPS |
|
|
Pose Estimation (SP)
|
100% |
912
1.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
3189
3.72 IPS |
|
|
Pose Estimation (Q)
|
98% |
878
1.03 IPS |
|
|
Object Detection (SP)
|
100% |
317
25.2 IPS |
|
|
Object Detection (HP)
|
99% |
536
42.5 IPS |
|
|
Object Detection (Q)
|
2% |
9
210.3 IPS |
|
|
Face Detection (SP)
|
100% |
796
9.45 IPS |
|
|
Face Detection (HP)
|
100% |
319
3.79 IPS |
|
|
Face Detection (Q)
|
97% |
741
8.84 IPS |
|
|
Depth Estimation (SP)
|
100% |
451
3.48 IPS |
|
|
Depth Estimation (HP)
|
99% |
278
2.14 IPS |
|
|
Depth Estimation (Q)
|
5% |
36
61.3 IPS |
|
|
Style Transfer (SP)
|
100% |
1279
1.64 IPS |
|
|
Style Transfer (HP)
|
100% |
477
0.61 IPS |
|
|
Style Transfer (Q)
|
98% |
1343
1.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
515
19.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1538
56.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
253
9.36 IPS |
|
|
Text Classification (SP)
|
100% |
4
5.33 IPS |
|
|
Text Classification (HP)
|
100% |
179
239.0 IPS |
|
|
Text Classification (Q)
|
93% |
30
40.5 IPS |
|
|
Machine Translation (SP)
|
100% |
226
3.88 IPS |
|
|
Machine Translation (HP)
|
100% |
299
5.15 IPS |
|
|
Machine Translation (Q)
|
57% |
280
6.84 IPS |
