HUAWEI LMR-LX9
Geekbench AI Score
830
Single Precision Score
826
Half Precision Score
1368
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 21 2025 11:04 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | HUAWEI LMR-LX9 |
| Model ID | HUAWEI LMR-LX9 |
| Motherboard | LMR |
| 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 | 11.32 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
383
71.2 IPS |
|
|
Image Classification (HP)
|
100% |
383
71.2 IPS |
|
|
Image Classification (Q)
|
100% |
1030
191.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
484
7.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
488
7.90 IPS |
|
|
Image Segmentation (Q)
|
98% |
1207
19.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1956
2.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
1823
2.13 IPS |
|
|
Pose Estimation (Q)
|
84% |
2225
2.64 IPS |
|
|
Object Detection (SP)
|
98% |
343
27.3 IPS |
|
|
Object Detection (HP)
|
98% |
353
28.1 IPS |
|
|
Object Detection (Q)
|
83% |
917
74.1 IPS |
|
|
Face Detection (SP)
|
100% |
1223
14.5 IPS |
|
|
Face Detection (HP)
|
100% |
1225
14.6 IPS |
|
|
Face Detection (Q)
|
95% |
2295
27.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
1655
12.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1655
12.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
2175
19.9 IPS |
|
|
Style Transfer (SP)
|
89% |
2732
3.55 IPS |
|
|
Style Transfer (HP)
|
89% |
2745
3.56 IPS |
|
|
Style Transfer (Q)
|
98% |
5057
6.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
931
34.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
907
33.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1230
45.6 IPS |
|
|
Text Classification (SP)
|
100% |
396
528.2 IPS |
|
|
Text Classification (HP)
|
99% |
396
528.6 IPS |
|
|
Text Classification (Q)
|
88% |
677
913.3 IPS |
|
|
Machine Translation (SP)
|
100% |
617
10.6 IPS |
|
|
Machine Translation (HP)
|
100% |
617
10.6 IPS |
|
|
Machine Translation (Q)
|
50% |
433
15.4 IPS |
