HUAWEI HBP-LX9
Geekbench AI Score
807
Single Precision Score
822
Half Precision Score
1315
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | January 05 2026 10:27 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | HUAWEI HBP-LX9 |
| Model ID | HUAWEI HBP-LX9 |
| Motherboard | HBP |
| CPU Information | |
|---|---|
| Name | ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 72 architecture 8 variant 2 part 3331 revision 0 |
| Base Frequency | 1.55 GHz |
| Cluster 1 | 4 Cores @ 1.55 GHz |
| Cluster 2 | 3 Cores @ 2.18 GHz |
| Cluster 3 | 1 Core @ 2.30 GHz |
| Memory Information | |
|---|---|
| Size | 15.23 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
338
62.8 IPS |
|
|
Image Classification (HP)
|
100% |
348
64.6 IPS |
|
|
Image Classification (Q)
|
100% |
968
180.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
449
7.27 IPS |
|
|
Image Segmentation (HP)
|
100% |
450
7.29 IPS |
|
|
Image Segmentation (Q)
|
98% |
1035
16.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1896
2.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
1897
2.21 IPS |
|
|
Pose Estimation (Q)
|
84% |
2153
2.55 IPS |
|
|
Object Detection (SP)
|
98% |
317
25.2 IPS |
|
|
Object Detection (HP)
|
98% |
339
27.0 IPS |
|
|
Object Detection (Q)
|
83% |
906
73.2 IPS |
|
|
Face Detection (SP)
|
100% |
1169
13.9 IPS |
|
|
Face Detection (HP)
|
100% |
1170
13.9 IPS |
|
|
Face Detection (Q)
|
95% |
2242
26.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
1748
13.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1764
13.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
2102
19.3 IPS |
|
|
Style Transfer (SP)
|
89% |
2837
3.68 IPS |
|
|
Style Transfer (HP)
|
89% |
2829
3.67 IPS |
|
|
Style Transfer (Q)
|
98% |
4972
6.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
972
35.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
982
36.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1265
46.9 IPS |
|
|
Text Classification (SP)
|
100% |
411
548.4 IPS |
|
|
Text Classification (HP)
|
99% |
417
556.2 IPS |
|
|
Text Classification (Q)
|
88% |
656
885.1 IPS |
|
|
Machine Translation (SP)
|
100% |
556
9.58 IPS |
|
|
Machine Translation (HP)
|
100% |
590
10.2 IPS |
|
|
Machine Translation (Q)
|
50% |
407
14.4 IPS |
