HUAWEI LMR-LX9
Geekbench AI Score
751
Single Precision Score
822
Half Precision Score
1338
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 21 2025 10:59 AM |
| Views | 2 |
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% |
358
66.5 IPS |
|
|
Image Classification (Q)
|
100% |
1060
197.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
482
7.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
482
7.82 IPS |
|
|
Image Segmentation (Q)
|
98% |
1216
19.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1953
2.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
1835
2.14 IPS |
|
|
Pose Estimation (Q)
|
84% |
2219
2.63 IPS |
|
|
Object Detection (SP)
|
98% |
319
25.4 IPS |
|
|
Object Detection (HP)
|
98% |
319
25.4 IPS |
|
|
Object Detection (Q)
|
83% |
938
75.7 IPS |
|
|
Face Detection (SP)
|
100% |
1229
14.6 IPS |
|
|
Face Detection (HP)
|
100% |
1226
14.6 IPS |
|
|
Face Detection (Q)
|
95% |
2297
27.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
1654
12.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1672
12.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
2173
19.9 IPS |
|
|
Style Transfer (SP)
|
89% |
2735
3.55 IPS |
|
|
Style Transfer (HP)
|
89% |
2740
3.56 IPS |
|
|
Style Transfer (Q)
|
98% |
5031
6.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
918
33.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
914
33.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1277
47.3 IPS |
|
|
Text Classification (SP)
|
100% |
228
304.6 IPS |
|
|
Text Classification (HP)
|
99% |
398
530.9 IPS |
|
|
Text Classification (Q)
|
88% |
462
623.5 IPS |
|
|
Machine Translation (SP)
|
100% |
429
7.39 IPS |
|
|
Machine Translation (HP)
|
100% |
690
11.9 IPS |
|
|
Machine Translation (Q)
|
50% |
464
16.5 IPS |
