HUAWEI NAM-LX9
Geekbench AI Score
611
Single Precision Score
1014
Half Precision Score
940
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 09 2025 11:39 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
435
80.9 IPS |
|
|
Image Classification (HP)
|
100% |
690
128.3 IPS |
|
|
Image Classification (Q)
|
99% |
632
117.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
670
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1152
18.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1089
17.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2266
2.64 IPS |
|
|
Pose Estimation (HP)
|
99% |
4121
4.81 IPS |
|
|
Pose Estimation (Q)
|
97% |
4057
4.75 IPS |
|
|
Object Detection (SP)
|
100% |
385
30.5 IPS |
|
|
Object Detection (HP)
|
99% |
601
47.7 IPS |
|
|
Object Detection (Q)
|
85% |
569
45.8 IPS |
|
|
Face Detection (SP)
|
100% |
1206
14.3 IPS |
|
|
Face Detection (HP)
|
100% |
2174
25.8 IPS |
|
|
Face Detection (Q)
|
97% |
1859
22.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1413
10.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
2381
18.4 IPS |
|
|
Depth Estimation (Q)
|
65% |
1987
17.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2851
3.67 IPS |
|
|
Style Transfer (HP)
|
100% |
6080
7.82 IPS |
|
|
Style Transfer (Q)
|
98% |
6027
7.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
643
23.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1074
39.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1062
39.3 IPS |
|
|
Text Classification (SP)
|
35% |
25
241.4 IPS |
|
|
Text Classification (HP)
|
35% |
35
319.0 IPS |
|
|
Text Classification (Q)
|
35% |
36
326.9 IPS |
|
|
Machine Translation (SP)
|
100% |
370
6.38 IPS |
|
|
Machine Translation (HP)
|
97% |
495
8.55 IPS |
|
|
Machine Translation (Q)
|
64% |
400
8.21 IPS |
