HUAWEI HBP-LX9
Geekbench AI Score
821
Single Precision Score
812
Half Precision Score
1321
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | January 05 2026 10:14 PM |
| Views | 1 |
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% |
346
64.3 IPS |
|
|
Image Classification (Q)
|
100% |
971
180.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
449
7.28 IPS |
|
|
Image Segmentation (HP)
|
100% |
448
7.27 IPS |
|
|
Image Segmentation (Q)
|
98% |
1045
17.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1911
2.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
1942
2.27 IPS |
|
|
Pose Estimation (Q)
|
84% |
2197
2.61 IPS |
|
|
Object Detection (SP)
|
98% |
354
28.2 IPS |
|
|
Object Detection (HP)
|
98% |
320
25.5 IPS |
|
|
Object Detection (Q)
|
83% |
929
75.0 IPS |
|
|
Face Detection (SP)
|
100% |
1169
13.9 IPS |
|
|
Face Detection (HP)
|
100% |
1148
13.6 IPS |
|
|
Face Detection (Q)
|
95% |
2231
26.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
1766
13.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1746
13.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
2105
19.3 IPS |
|
|
Style Transfer (SP)
|
89% |
2832
3.68 IPS |
|
|
Style Transfer (HP)
|
89% |
2837
3.68 IPS |
|
|
Style Transfer (Q)
|
98% |
4977
6.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
982
36.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
997
36.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1270
47.0 IPS |
|
|
Text Classification (SP)
|
100% |
407
543.2 IPS |
|
|
Text Classification (HP)
|
99% |
402
537.0 IPS |
|
|
Text Classification (Q)
|
88% |
654
882.5 IPS |
|
|
Machine Translation (SP)
|
100% |
583
10.0 IPS |
|
|
Machine Translation (HP)
|
100% |
572
9.85 IPS |
|
|
Machine Translation (Q)
|
50% |
405
14.4 IPS |
