HUAWEI LMU-LX9
Geekbench AI Score
916
Single Precision Score
903
Half Precision Score
1408
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 25 2025 04:08 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | HUAWEI LMU-LX9 |
| Model ID | HUAWEI LMU-LX9 |
| Motherboard | LMU |
| CPU Information | |
|---|---|
| Name | ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 72 architecture 8 variant 2 part 3333 revision 1 |
| Base Frequency | 1.60 GHz |
| Cluster 1 | 4 Cores @ 1.60 GHz |
| Cluster 2 | 3 Cores @ 2.15 GHz |
| Cluster 3 | 1 Core @ 2.50 GHz |
| Memory Information | |
|---|---|
| Size | 15.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
461
85.7 IPS |
|
|
Image Classification (HP)
|
100% |
420
78.1 IPS |
|
|
Image Classification (Q)
|
100% |
1058
196.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
550
8.92 IPS |
|
|
Image Segmentation (HP)
|
100% |
544
8.82 IPS |
|
|
Image Segmentation (Q)
|
98% |
1237
20.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2008
2.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
1977
2.31 IPS |
|
|
Pose Estimation (Q)
|
84% |
2260
2.68 IPS |
|
|
Object Detection (SP)
|
98% |
402
32.0 IPS |
|
|
Object Detection (HP)
|
98% |
402
32.0 IPS |
|
|
Object Detection (Q)
|
83% |
987
79.7 IPS |
|
|
Face Detection (SP)
|
100% |
1309
15.6 IPS |
|
|
Face Detection (HP)
|
100% |
1309
15.5 IPS |
|
|
Face Detection (Q)
|
95% |
2526
30.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
1771
13.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1771
13.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
2276
20.8 IPS |
|
|
Style Transfer (SP)
|
89% |
3010
3.91 IPS |
|
|
Style Transfer (HP)
|
89% |
3045
3.95 IPS |
|
|
Style Transfer (Q)
|
98% |
5473
7.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
990
36.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
977
36.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1341
49.7 IPS |
|
|
Text Classification (SP)
|
100% |
442
589.5 IPS |
|
|
Text Classification (HP)
|
99% |
430
574.3 IPS |
|
|
Text Classification (Q)
|
88% |
526
708.9 IPS |
|
|
Machine Translation (SP)
|
100% |
667
11.5 IPS |
|
|
Machine Translation (HP)
|
100% |
675
11.6 IPS |
|
|
Machine Translation (Q)
|
50% |
474
16.8 IPS |
