HUAWEI HBP-LX9
Geekbench AI Score
370
Single Precision Score
370
Half Precision Score
766
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 03:59 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
224
41.6 IPS |
|
|
Image Classification (HP)
|
100% |
222
41.3 IPS |
|
|
Image Classification (Q)
|
99% |
525
98.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
289
4.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
294
4.76 IPS |
|
|
Image Segmentation (Q)
|
98% |
531
8.64 IPS |
|
|
Pose Estimation (SP)
|
100% |
390
0.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
387
0.45 IPS |
|
|
Pose Estimation (Q)
|
98% |
1278
1.50 IPS |
|
|
Object Detection (SP)
|
100% |
213
16.9 IPS |
|
|
Object Detection (HP)
|
100% |
215
17.1 IPS |
|
|
Object Detection (Q)
|
87% |
562
45.0 IPS |
|
|
Face Detection (SP)
|
100% |
547
6.49 IPS |
|
|
Face Detection (HP)
|
100% |
555
6.60 IPS |
|
|
Face Detection (Q)
|
97% |
1132
13.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
471
3.63 IPS |
|
|
Depth Estimation (HP)
|
99% |
476
3.67 IPS |
|
|
Depth Estimation (Q)
|
64% |
1032
9.36 IPS |
|
|
Style Transfer (SP)
|
100% |
834
1.07 IPS |
|
|
Style Transfer (HP)
|
100% |
838
1.08 IPS |
|
|
Style Transfer (Q)
|
98% |
1944
2.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
241
8.89 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
240
8.86 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
781
28.9 IPS |
|
|
Text Classification (SP)
|
100% |
337
450.1 IPS |
|
|
Text Classification (HP)
|
100% |
335
447.0 IPS |
|
|
Text Classification (Q)
|
91% |
500
671.8 IPS |
|
|
Machine Translation (SP)
|
100% |
515
8.86 IPS |
|
|
Machine Translation (HP)
|
100% |
511
8.80 IPS |
|
|
Machine Translation (Q)
|
57% |
395
9.66 IPS |
