HUAWEI LMR-LX9
Geekbench AI Score
973
Single Precision Score
961
Half Precision Score
1466
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 07 2025 11:04 AM |
| Views | 1 |
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% |
518
96.3 IPS |
|
|
Image Classification (HP)
|
100% |
423
78.7 IPS |
|
|
Image Classification (Q)
|
100% |
1053
195.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
556
9.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
555
9.00 IPS |
|
|
Image Segmentation (Q)
|
98% |
1231
20.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2072
2.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
2090
2.44 IPS |
|
|
Pose Estimation (Q)
|
84% |
2283
2.71 IPS |
|
|
Object Detection (SP)
|
98% |
417
33.2 IPS |
|
|
Object Detection (HP)
|
98% |
417
33.2 IPS |
|
|
Object Detection (Q)
|
83% |
1015
82.0 IPS |
|
|
Face Detection (SP)
|
100% |
1452
17.2 IPS |
|
|
Face Detection (HP)
|
100% |
1468
17.4 IPS |
|
|
Face Detection (Q)
|
95% |
2574
30.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
1931
14.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1913
14.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
2321
21.3 IPS |
|
|
Style Transfer (SP)
|
89% |
3264
4.24 IPS |
|
|
Style Transfer (HP)
|
89% |
3261
4.23 IPS |
|
|
Style Transfer (Q)
|
98% |
5398
6.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1028
38.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1046
38.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1317
48.8 IPS |
|
|
Text Classification (SP)
|
100% |
442
590.4 IPS |
|
|
Text Classification (HP)
|
99% |
442
589.4 IPS |
|
|
Text Classification (Q)
|
88% |
722
973.2 IPS |
|
|
Machine Translation (SP)
|
100% |
739
12.7 IPS |
|
|
Machine Translation (HP)
|
100% |
782
13.5 IPS |
|
|
Machine Translation (Q)
|
50% |
500
17.7 IPS |
