HUAWEI NAM-LX9
Geekbench AI Score
892
Single Precision Score
896
Half Precision Score
2029
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 09 2025 10:06 PM |
| Views | 2 |
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% |
449
83.5 IPS |
|
|
Image Classification (HP)
|
100% |
462
85.9 IPS |
|
|
Image Classification (Q)
|
100% |
1448
269.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
507
8.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
511
8.28 IPS |
|
|
Image Segmentation (Q)
|
98% |
1697
27.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1801
2.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
1762
2.06 IPS |
|
|
Pose Estimation (Q)
|
84% |
3602
4.27 IPS |
|
|
Object Detection (SP)
|
100% |
404
32.0 IPS |
|
|
Object Detection (HP)
|
100% |
430
34.1 IPS |
|
|
Object Detection (Q)
|
83% |
1407
113.7 IPS |
|
|
Face Detection (SP)
|
100% |
1106
13.1 IPS |
|
|
Face Detection (HP)
|
100% |
1104
13.1 IPS |
|
|
Face Detection (Q)
|
95% |
3429
40.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1544
11.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1528
11.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
3443
31.5 IPS |
|
|
Style Transfer (SP)
|
89% |
3412
4.43 IPS |
|
|
Style Transfer (HP)
|
89% |
3432
4.46 IPS |
|
|
Style Transfer (Q)
|
98% |
8451
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
871
32.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
891
32.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2072
76.8 IPS |
|
|
Text Classification (SP)
|
100% |
517
690.0 IPS |
|
|
Text Classification (HP)
|
100% |
513
685.3 IPS |
|
|
Text Classification (Q)
|
88% |
983
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
740
12.7 IPS |
|
|
Machine Translation (HP)
|
100% |
707
12.2 IPS |
|
|
Machine Translation (Q)
|
50% |
469
16.6 IPS |
