HUAWEI HBP-LX9
Geekbench AI Score
807
Single Precision Score
796
Half Precision Score
1279
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | January 05 2026 07:52 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% |
343
63.8 IPS |
|
|
Image Classification (HP)
|
100% |
345
64.2 IPS |
|
|
Image Classification (Q)
|
100% |
966
179.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
451
7.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
437
7.08 IPS |
|
|
Image Segmentation (Q)
|
98% |
1020
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1868
2.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
1871
2.18 IPS |
|
|
Pose Estimation (Q)
|
84% |
2124
2.52 IPS |
|
|
Object Detection (SP)
|
98% |
348
27.7 IPS |
|
|
Object Detection (HP)
|
98% |
314
25.0 IPS |
|
|
Object Detection (Q)
|
83% |
912
73.6 IPS |
|
|
Face Detection (SP)
|
100% |
1142
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
1142
13.6 IPS |
|
|
Face Detection (Q)
|
95% |
2202
26.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
1699
13.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1731
13.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
2078
19.0 IPS |
|
|
Style Transfer (SP)
|
89% |
2795
3.63 IPS |
|
|
Style Transfer (HP)
|
89% |
2818
3.66 IPS |
|
|
Style Transfer (Q)
|
98% |
4836
6.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
963
35.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
962
35.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1202
44.5 IPS |
|
|
Text Classification (SP)
|
100% |
385
513.8 IPS |
|
|
Text Classification (HP)
|
99% |
391
522.5 IPS |
|
|
Text Classification (Q)
|
88% |
656
884.3 IPS |
|
|
Machine Translation (SP)
|
100% |
583
10.0 IPS |
|
|
Machine Translation (HP)
|
100% |
553
9.52 IPS |
|
|
Machine Translation (Q)
|
50% |
354
12.6 IPS |
