HUAWEI HBP-LX9
Geekbench AI Score
805
Single Precision Score
803
Half Precision Score
1303
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | January 05 2026 07:57 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% |
333
62.0 IPS |
|
|
Image Classification (HP)
|
100% |
356
66.2 IPS |
|
|
Image Classification (Q)
|
100% |
959
178.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
440
7.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
444
7.20 IPS |
|
|
Image Segmentation (Q)
|
98% |
1036
16.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1899
2.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
1871
2.18 IPS |
|
|
Pose Estimation (Q)
|
84% |
2127
2.52 IPS |
|
|
Object Detection (SP)
|
98% |
350
27.8 IPS |
|
|
Object Detection (HP)
|
98% |
323
25.7 IPS |
|
|
Object Detection (Q)
|
83% |
887
71.7 IPS |
|
|
Face Detection (SP)
|
100% |
1165
13.8 IPS |
|
|
Face Detection (HP)
|
100% |
1169
13.9 IPS |
|
|
Face Detection (Q)
|
95% |
2209
26.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
1640
12.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1656
12.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
2100
19.2 IPS |
|
|
Style Transfer (SP)
|
89% |
2804
3.64 IPS |
|
|
Style Transfer (HP)
|
89% |
2810
3.65 IPS |
|
|
Style Transfer (Q)
|
98% |
4963
6.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
974
36.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
967
35.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1260
46.7 IPS |
|
|
Text Classification (SP)
|
100% |
406
542.5 IPS |
|
|
Text Classification (HP)
|
99% |
396
528.2 IPS |
|
|
Text Classification (Q)
|
88% |
645
869.7 IPS |
|
|
Machine Translation (SP)
|
100% |
556
9.58 IPS |
|
|
Machine Translation (HP)
|
100% |
562
9.68 IPS |
|
|
Machine Translation (Q)
|
50% |
404
14.3 IPS |
