HUAWEI HBP-LX9
Geekbench AI Score
801
Single Precision Score
809
Half Precision Score
1290
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | January 05 2026 09:52 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% |
339
63.1 IPS |
|
|
Image Classification (HP)
|
100% |
360
66.9 IPS |
|
|
Image Classification (Q)
|
100% |
955
177.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
458
7.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
431
6.98 IPS |
|
|
Image Segmentation (Q)
|
98% |
1104
17.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1850
2.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
1906
2.22 IPS |
|
|
Pose Estimation (Q)
|
84% |
2105
2.50 IPS |
|
|
Object Detection (SP)
|
98% |
314
25.0 IPS |
|
|
Object Detection (HP)
|
98% |
345
27.5 IPS |
|
|
Object Detection (Q)
|
83% |
883
71.3 IPS |
|
|
Face Detection (SP)
|
100% |
1169
13.9 IPS |
|
|
Face Detection (HP)
|
100% |
1149
13.7 IPS |
|
|
Face Detection (Q)
|
95% |
2199
26.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
1739
13.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1704
13.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
2072
19.0 IPS |
|
|
Style Transfer (SP)
|
89% |
2843
3.69 IPS |
|
|
Style Transfer (HP)
|
89% |
2783
3.61 IPS |
|
|
Style Transfer (Q)
|
98% |
4948
6.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
967
35.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
961
35.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1238
45.9 IPS |
|
|
Text Classification (SP)
|
100% |
391
521.6 IPS |
|
|
Text Classification (HP)
|
99% |
411
548.2 IPS |
|
|
Text Classification (Q)
|
88% |
660
890.2 IPS |
|
|
Machine Translation (SP)
|
100% |
555
9.57 IPS |
|
|
Machine Translation (HP)
|
100% |
552
9.51 IPS |
|
|
Machine Translation (Q)
|
50% |
356
12.7 IPS |
