HUAWEI HBP-LX9
Geekbench AI Score
174
Single Precision Score
210
Half Precision Score
190
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | January 06 2026 03:26 AM |
| Views | 2 |
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% |
110
20.5 IPS |
|
|
Image Classification (HP)
|
100% |
128
23.8 IPS |
|
|
Image Classification (Q)
|
100% |
121
22.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
150
2.43 IPS |
|
|
Image Segmentation (HP)
|
100% |
203
3.29 IPS |
|
|
Image Segmentation (Q)
|
98% |
198
3.22 IPS |
|
|
Pose Estimation (SP)
|
100% |
725
0.85 IPS |
|
|
Pose Estimation (HP)
|
99% |
1046
1.22 IPS |
|
|
Pose Estimation (Q)
|
95% |
1044
1.22 IPS |
|
|
Object Detection (SP)
|
100% |
89
7.09 IPS |
|
|
Object Detection (HP)
|
99% |
106
8.40 IPS |
|
|
Object Detection (Q)
|
85% |
102
8.23 IPS |
|
|
Face Detection (SP)
|
100% |
371
4.41 IPS |
|
|
Face Detection (HP)
|
100% |
508
6.04 IPS |
|
|
Face Detection (Q)
|
97% |
489
5.83 IPS |
|
|
Depth Estimation (SP)
|
100% |
422
3.25 IPS |
|
|
Depth Estimation (HP)
|
98% |
587
4.53 IPS |
|
|
Depth Estimation (Q)
|
61% |
452
4.47 IPS |
|
|
Style Transfer (SP)
|
100% |
1077
1.38 IPS |
|
|
Style Transfer (HP)
|
100% |
1572
2.02 IPS |
|
|
Style Transfer (Q)
|
98% |
1563
2.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
263
9.69 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
368
13.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
348
12.9 IPS |
|
|
Text Classification (SP)
|
35% |
7
65.6 IPS |
|
|
Text Classification (HP)
|
29% |
4
72.4 IPS |
|
|
Text Classification (Q)
|
33% |
6
69.3 IPS |
|
|
Machine Translation (SP)
|
100% |
80
1.38 IPS |
|
|
Machine Translation (HP)
|
100% |
84
1.45 IPS |
|
|
Machine Translation (Q)
|
48% |
34
1.32 IPS |
