HUAWEI LMU-LX9
Geekbench AI Score
811
Single Precision Score
790
Half Precision Score
1283
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 21 2025 10:58 AM |
| Views | 2 |
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% |
358
66.5 IPS |
|
|
Image Classification (HP)
|
100% |
362
67.4 IPS |
|
|
Image Classification (Q)
|
100% |
1056
196.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
480
7.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
479
7.77 IPS |
|
|
Image Segmentation (Q)
|
98% |
1179
19.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1866
2.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
1869
2.18 IPS |
|
|
Pose Estimation (Q)
|
84% |
2097
2.49 IPS |
|
|
Object Detection (SP)
|
98% |
353
28.1 IPS |
|
|
Object Detection (HP)
|
98% |
379
30.1 IPS |
|
|
Object Detection (Q)
|
83% |
997
80.5 IPS |
|
|
Face Detection (SP)
|
100% |
1224
14.5 IPS |
|
|
Face Detection (HP)
|
100% |
1244
14.8 IPS |
|
|
Face Detection (Q)
|
95% |
2514
30.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
1703
13.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1617
12.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
2170
19.9 IPS |
|
|
Style Transfer (SP)
|
89% |
2657
3.45 IPS |
|
|
Style Transfer (HP)
|
89% |
2694
3.50 IPS |
|
|
Style Transfer (Q)
|
98% |
5147
6.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
895
33.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
892
32.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1278
47.4 IPS |
|
|
Text Classification (SP)
|
100% |
399
532.0 IPS |
|
|
Text Classification (HP)
|
99% |
241
321.5 IPS |
|
|
Text Classification (Q)
|
88% |
451
607.9 IPS |
|
|
Machine Translation (SP)
|
100% |
550
9.48 IPS |
|
|
Machine Translation (HP)
|
100% |
664
11.4 IPS |
|
|
Machine Translation (Q)
|
50% |
288
10.2 IPS |
