HUAWEI HBP-LX9
Geekbench AI Score
817
Single Precision Score
817
Half Precision Score
1324
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | January 05 2026 10:32 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% |
355
66.0 IPS |
|
|
Image Classification (HP)
|
100% |
353
65.6 IPS |
|
|
Image Classification (Q)
|
100% |
990
184.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
447
7.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
445
7.22 IPS |
|
|
Image Segmentation (Q)
|
98% |
1037
16.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1901
2.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
1903
2.22 IPS |
|
|
Pose Estimation (Q)
|
84% |
2168
2.57 IPS |
|
|
Object Detection (SP)
|
98% |
331
26.3 IPS |
|
|
Object Detection (HP)
|
98% |
354
28.2 IPS |
|
|
Object Detection (Q)
|
83% |
896
72.4 IPS |
|
|
Face Detection (SP)
|
100% |
1168
13.9 IPS |
|
|
Face Detection (HP)
|
100% |
1158
13.8 IPS |
|
|
Face Detection (Q)
|
95% |
2322
27.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
1747
13.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1746
13.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
2125
19.5 IPS |
|
|
Style Transfer (SP)
|
89% |
2834
3.68 IPS |
|
|
Style Transfer (HP)
|
89% |
2897
3.76 IPS |
|
|
Style Transfer (Q)
|
98% |
4973
6.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1002
37.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
968
35.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1266
46.9 IPS |
|
|
Text Classification (SP)
|
100% |
413
551.4 IPS |
|
|
Text Classification (HP)
|
99% |
400
534.1 IPS |
|
|
Text Classification (Q)
|
88% |
659
889.1 IPS |
|
|
Machine Translation (SP)
|
100% |
560
9.64 IPS |
|
|
Machine Translation (HP)
|
100% |
557
9.60 IPS |
|
|
Machine Translation (Q)
|
50% |
406
14.4 IPS |
