HUAWEI HBP-LX9
Geekbench AI Score
824
Single Precision Score
822
Half Precision Score
1328
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | January 05 2026 10:49 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% |
343
63.9 IPS |
|
|
Image Classification (HP)
|
100% |
332
61.8 IPS |
|
|
Image Classification (Q)
|
100% |
995
185.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
448
7.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
454
7.35 IPS |
|
|
Image Segmentation (Q)
|
98% |
1060
17.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1905
2.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
1912
2.23 IPS |
|
|
Pose Estimation (Q)
|
84% |
2164
2.57 IPS |
|
|
Object Detection (SP)
|
98% |
358
28.5 IPS |
|
|
Object Detection (HP)
|
98% |
361
28.7 IPS |
|
|
Object Detection (Q)
|
83% |
929
75.0 IPS |
|
|
Face Detection (SP)
|
100% |
1160
13.8 IPS |
|
|
Face Detection (HP)
|
100% |
1174
13.9 IPS |
|
|
Face Detection (Q)
|
95% |
2280
27.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
1787
13.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1761
13.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
2139
19.6 IPS |
|
|
Style Transfer (SP)
|
89% |
2847
3.70 IPS |
|
|
Style Transfer (HP)
|
89% |
2848
3.70 IPS |
|
|
Style Transfer (Q)
|
98% |
4971
6.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1006
37.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
990
36.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1283
47.5 IPS |
|
|
Text Classification (SP)
|
100% |
416
554.8 IPS |
|
|
Text Classification (HP)
|
99% |
418
558.4 IPS |
|
|
Text Classification (Q)
|
88% |
664
895.4 IPS |
|
|
Machine Translation (SP)
|
100% |
561
9.66 IPS |
|
|
Machine Translation (HP)
|
100% |
560
9.65 IPS |
|
|
Machine Translation (Q)
|
50% |
390
13.8 IPS |
