HUAWEI HBP-LX9
Geekbench AI Score
175
Single Precision Score
225
Half Precision Score
192
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | January 05 2026 07:26 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
122
22.8 IPS |
|
|
Image Classification (HP)
|
100% |
132
24.5 IPS |
|
|
Image Classification (Q)
|
100% |
120
22.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
150
2.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
202
3.27 IPS |
|
|
Image Segmentation (Q)
|
98% |
197
3.20 IPS |
|
|
Pose Estimation (SP)
|
100% |
723
0.84 IPS |
|
|
Pose Estimation (HP)
|
99% |
1043
1.22 IPS |
|
|
Pose Estimation (Q)
|
95% |
1038
1.22 IPS |
|
|
Object Detection (SP)
|
100% |
89
7.08 IPS |
|
|
Object Detection (HP)
|
99% |
106
8.37 IPS |
|
|
Object Detection (Q)
|
85% |
100
8.03 IPS |
|
|
Face Detection (SP)
|
100% |
371
4.40 IPS |
|
|
Face Detection (HP)
|
100% |
509
6.05 IPS |
|
|
Face Detection (Q)
|
97% |
483
5.76 IPS |
|
|
Depth Estimation (SP)
|
100% |
416
3.21 IPS |
|
|
Depth Estimation (HP)
|
98% |
590
4.56 IPS |
|
|
Depth Estimation (Q)
|
61% |
488
4.83 IPS |
|
|
Style Transfer (SP)
|
100% |
1077
1.38 IPS |
|
|
Style Transfer (HP)
|
100% |
1576
2.03 IPS |
|
|
Style Transfer (Q)
|
98% |
1558
2.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
254
9.38 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
357
13.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
348
12.9 IPS |
|
|
Text Classification (SP)
|
35% |
7
67.4 IPS |
|
|
Text Classification (HP)
|
35% |
8
72.1 IPS |
|
|
Text Classification (Q)
|
33% |
6
69.1 IPS |
|
|
Machine Translation (SP)
|
100% |
79
1.36 IPS |
|
|
Machine Translation (HP)
|
100% |
85
1.47 IPS |
|
|
Machine Translation (Q)
|
48% |
37
1.41 IPS |
