HUAWEI HBP-LX9
Geekbench AI Score
812
Single Precision Score
812
Half Precision Score
1304
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | January 05 2026 09:58 PM |
| Views | 2 |
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% |
347
64.5 IPS |
|
|
Image Classification (HP)
|
100% |
332
61.7 IPS |
|
|
Image Classification (Q)
|
100% |
952
177.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
453
7.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
440
7.14 IPS |
|
|
Image Segmentation (Q)
|
98% |
1025
16.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1867
2.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
1915
2.23 IPS |
|
|
Pose Estimation (Q)
|
84% |
2133
2.53 IPS |
|
|
Object Detection (SP)
|
98% |
349
27.7 IPS |
|
|
Object Detection (HP)
|
98% |
349
27.8 IPS |
|
|
Object Detection (Q)
|
83% |
904
73.0 IPS |
|
|
Face Detection (SP)
|
100% |
1142
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
1165
13.8 IPS |
|
|
Face Detection (Q)
|
95% |
2226
26.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
1726
13.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1747
13.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
2097
19.2 IPS |
|
|
Style Transfer (SP)
|
89% |
2808
3.65 IPS |
|
|
Style Transfer (HP)
|
89% |
2814
3.65 IPS |
|
|
Style Transfer (Q)
|
98% |
4872
6.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
974
36.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
970
35.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1286
47.7 IPS |
|
|
Text Classification (SP)
|
100% |
410
547.4 IPS |
|
|
Text Classification (HP)
|
99% |
405
540.5 IPS |
|
|
Text Classification (Q)
|
88% |
650
876.0 IPS |
|
|
Machine Translation (SP)
|
100% |
553
9.53 IPS |
|
|
Machine Translation (HP)
|
100% |
574
9.89 IPS |
|
|
Machine Translation (Q)
|
50% |
400
14.2 IPS |
