HUAWEI LMU-LX9
Geekbench AI Score
466
Single Precision Score
323
Half Precision Score
308
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 25 2025 04:22 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
276
51.3 IPS |
|
|
Image Classification (HP)
|
100% |
179
33.3 IPS |
|
|
Image Classification (Q)
|
96% |
164
30.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
431
6.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
304
4.93 IPS |
|
|
Image Segmentation (Q)
|
98% |
293
4.77 IPS |
|
|
Pose Estimation (SP)
|
100% |
534
0.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
304
0.35 IPS |
|
|
Pose Estimation (Q)
|
96% |
300
0.35 IPS |
|
|
Object Detection (SP)
|
100% |
211
16.8 IPS |
|
|
Object Detection (HP)
|
100% |
121
9.60 IPS |
|
|
Object Detection (Q)
|
85% |
116
9.35 IPS |
|
|
Face Detection (SP)
|
100% |
780
9.27 IPS |
|
|
Face Detection (HP)
|
100% |
603
7.16 IPS |
|
|
Face Detection (Q)
|
97% |
570
6.80 IPS |
|
|
Depth Estimation (SP)
|
100% |
741
5.71 IPS |
|
|
Depth Estimation (HP)
|
99% |
406
3.14 IPS |
|
|
Depth Estimation (Q)
|
63% |
330
3.11 IPS |
|
|
Style Transfer (SP)
|
100% |
1568
2.02 IPS |
|
|
Style Transfer (HP)
|
100% |
952
1.22 IPS |
|
|
Style Transfer (Q)
|
98% |
945
1.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
298
11.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
197
7.27 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
193
7.15 IPS |
|
|
Text Classification (SP)
|
100% |
303
404.2 IPS |
|
|
Text Classification (HP)
|
100% |
303
404.1 IPS |
|
|
Text Classification (Q)
|
91% |
427
573.7 IPS |
|
|
Machine Translation (SP)
|
100% |
447
7.71 IPS |
|
|
Machine Translation (HP)
|
100% |
449
7.74 IPS |
|
|
Machine Translation (Q)
|
57% |
317
7.75 IPS |
