HUAWEI LMR-LX9
Geekbench AI Score
929
Single Precision Score
926
Half Precision Score
1480
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 18 2025 04:13 PM |
| 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% |
441
82.0 IPS |
|
|
Image Classification (HP)
|
100% |
411
76.5 IPS |
|
|
Image Classification (Q)
|
100% |
1051
195.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
557
9.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
561
9.10 IPS |
|
|
Image Segmentation (Q)
|
98% |
1223
19.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2031
2.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
2057
2.40 IPS |
|
|
Pose Estimation (Q)
|
84% |
2577
3.06 IPS |
|
|
Object Detection (SP)
|
98% |
412
32.8 IPS |
|
|
Object Detection (HP)
|
98% |
412
32.8 IPS |
|
|
Object Detection (Q)
|
83% |
1066
86.1 IPS |
|
|
Face Detection (SP)
|
100% |
1362
16.2 IPS |
|
|
Face Detection (HP)
|
100% |
1379
16.4 IPS |
|
|
Face Detection (Q)
|
95% |
2554
30.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
1837
14.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1843
14.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
2287
20.9 IPS |
|
|
Style Transfer (SP)
|
89% |
3113
4.04 IPS |
|
|
Style Transfer (HP)
|
89% |
3104
4.03 IPS |
|
|
Style Transfer (Q)
|
98% |
5298
6.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1008
37.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1001
37.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1344
49.8 IPS |
|
|
Text Classification (SP)
|
100% |
434
579.1 IPS |
|
|
Text Classification (HP)
|
99% |
434
579.0 IPS |
|
|
Text Classification (Q)
|
88% |
717
966.9 IPS |
|
|
Machine Translation (SP)
|
100% |
690
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
696
12.0 IPS |
|
|
Machine Translation (Q)
|
50% |
480
17.0 IPS |
