HUAWEI HBP-LX9
Geekbench AI Score
836
Single Precision Score
824
Half Precision Score
1339
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | January 05 2026 11:02 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% |
366
68.1 IPS |
|
|
Image Classification (HP)
|
100% |
331
61.5 IPS |
|
|
Image Classification (Q)
|
100% |
975
181.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
451
7.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
451
7.30 IPS |
|
|
Image Segmentation (Q)
|
98% |
1051
17.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1906
2.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
1898
2.22 IPS |
|
|
Pose Estimation (Q)
|
84% |
2150
2.55 IPS |
|
|
Object Detection (SP)
|
98% |
354
28.1 IPS |
|
|
Object Detection (HP)
|
98% |
355
28.2 IPS |
|
|
Object Detection (Q)
|
83% |
931
75.2 IPS |
|
|
Face Detection (SP)
|
100% |
1151
13.7 IPS |
|
|
Face Detection (HP)
|
100% |
1152
13.7 IPS |
|
|
Face Detection (Q)
|
95% |
2244
26.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
1773
13.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1747
13.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
2124
19.5 IPS |
|
|
Style Transfer (SP)
|
89% |
2871
3.73 IPS |
|
|
Style Transfer (HP)
|
89% |
3066
3.98 IPS |
|
|
Style Transfer (Q)
|
98% |
5288
6.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1049
38.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1054
38.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1350
50.0 IPS |
|
|
Text Classification (SP)
|
100% |
433
577.7 IPS |
|
|
Text Classification (HP)
|
99% |
398
530.6 IPS |
|
|
Text Classification (Q)
|
88% |
666
898.3 IPS |
|
|
Machine Translation (SP)
|
100% |
566
9.75 IPS |
|
|
Machine Translation (HP)
|
100% |
555
9.56 IPS |
|
|
Machine Translation (Q)
|
50% |
399
14.2 IPS |
