HUAWEI HBP-LX9
Geekbench AI Score
364
Single Precision Score
364
Half Precision Score
752
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 14 2025 05:19 AM |
| Views | 2 |
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% |
223
41.5 IPS |
|
|
Image Classification (HP)
|
100% |
222
41.3 IPS |
|
|
Image Classification (Q)
|
99% |
526
98.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
296
4.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
301
4.88 IPS |
|
|
Image Segmentation (Q)
|
98% |
548
8.91 IPS |
|
|
Pose Estimation (SP)
|
100% |
397
0.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
385
0.45 IPS |
|
|
Pose Estimation (Q)
|
98% |
1263
1.48 IPS |
|
|
Object Detection (SP)
|
100% |
209
16.6 IPS |
|
|
Object Detection (HP)
|
100% |
211
16.7 IPS |
|
|
Object Detection (Q)
|
87% |
551
44.2 IPS |
|
|
Face Detection (SP)
|
100% |
538
6.40 IPS |
|
|
Face Detection (HP)
|
100% |
543
6.45 IPS |
|
|
Face Detection (Q)
|
97% |
1102
13.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
460
3.55 IPS |
|
|
Depth Estimation (HP)
|
99% |
466
3.59 IPS |
|
|
Depth Estimation (Q)
|
64% |
993
9.01 IPS |
|
|
Style Transfer (SP)
|
100% |
817
1.05 IPS |
|
|
Style Transfer (HP)
|
100% |
811
1.04 IPS |
|
|
Style Transfer (Q)
|
98% |
1867
2.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
230
8.51 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
230
8.51 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
747
27.7 IPS |
|
|
Text Classification (SP)
|
100% |
325
433.8 IPS |
|
|
Text Classification (HP)
|
100% |
329
439.5 IPS |
|
|
Text Classification (Q)
|
91% |
498
669.8 IPS |
|
|
Machine Translation (SP)
|
100% |
497
8.56 IPS |
|
|
Machine Translation (HP)
|
100% |
497
8.57 IPS |
|
|
Machine Translation (Q)
|
57% |
382
9.35 IPS |
