HUAWEI HBP-LX9
Geekbench AI Score
826
Single Precision Score
837
Half Precision Score
1329
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | January 05 2026 10:53 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% |
347
64.6 IPS |
|
|
Image Classification (HP)
|
100% |
367
68.2 IPS |
|
|
Image Classification (Q)
|
100% |
999
185.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
454
7.36 IPS |
|
|
Image Segmentation (HP)
|
100% |
464
7.53 IPS |
|
|
Image Segmentation (Q)
|
98% |
1060
17.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1913
2.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
1908
2.23 IPS |
|
|
Pose Estimation (Q)
|
84% |
2173
2.58 IPS |
|
|
Object Detection (SP)
|
98% |
357
28.4 IPS |
|
|
Object Detection (HP)
|
98% |
358
28.5 IPS |
|
|
Object Detection (Q)
|
83% |
949
76.6 IPS |
|
|
Face Detection (SP)
|
100% |
1150
13.7 IPS |
|
|
Face Detection (HP)
|
100% |
1172
13.9 IPS |
|
|
Face Detection (Q)
|
95% |
2272
27.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
1762
13.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1753
13.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
2127
19.5 IPS |
|
|
Style Transfer (SP)
|
89% |
2838
3.68 IPS |
|
|
Style Transfer (HP)
|
89% |
2842
3.69 IPS |
|
|
Style Transfer (Q)
|
98% |
4945
6.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
992
36.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1009
37.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1299
48.1 IPS |
|
|
Text Classification (SP)
|
100% |
418
557.7 IPS |
|
|
Text Classification (HP)
|
99% |
418
558.3 IPS |
|
|
Text Classification (Q)
|
88% |
672
906.2 IPS |
|
|
Machine Translation (SP)
|
100% |
582
10.0 IPS |
|
|
Machine Translation (HP)
|
100% |
592
10.2 IPS |
|
|
Machine Translation (Q)
|
50% |
380
13.5 IPS |
