HUAWEI HBP-LX9
Geekbench AI Score
173
Single Precision Score
210
Half Precision Score
191
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | January 05 2026 07:10 PM |
| Views | 5 |
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% |
106
19.7 IPS |
|
|
Image Classification (HP)
|
100% |
128
23.9 IPS |
|
|
Image Classification (Q)
|
100% |
121
22.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
151
2.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
202
3.27 IPS |
|
|
Image Segmentation (Q)
|
98% |
198
3.22 IPS |
|
|
Pose Estimation (SP)
|
100% |
722
0.84 IPS |
|
|
Pose Estimation (HP)
|
99% |
1046
1.22 IPS |
|
|
Pose Estimation (Q)
|
95% |
1035
1.21 IPS |
|
|
Object Detection (SP)
|
100% |
89
7.07 IPS |
|
|
Object Detection (HP)
|
99% |
106
8.39 IPS |
|
|
Object Detection (Q)
|
85% |
103
8.26 IPS |
|
|
Face Detection (SP)
|
100% |
373
4.43 IPS |
|
|
Face Detection (HP)
|
100% |
515
6.12 IPS |
|
|
Face Detection (Q)
|
97% |
493
5.88 IPS |
|
|
Depth Estimation (SP)
|
100% |
419
3.22 IPS |
|
|
Depth Estimation (HP)
|
98% |
591
4.56 IPS |
|
|
Depth Estimation (Q)
|
61% |
472
4.66 IPS |
|
|
Style Transfer (SP)
|
100% |
1076
1.38 IPS |
|
|
Style Transfer (HP)
|
100% |
1573
2.02 IPS |
|
|
Style Transfer (Q)
|
98% |
1565
2.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
254
9.39 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
354
13.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
348
12.9 IPS |
|
|
Text Classification (SP)
|
35% |
7
62.7 IPS |
|
|
Text Classification (HP)
|
29% |
4
74.7 IPS |
|
|
Text Classification (Q)
|
33% |
6
69.0 IPS |
|
|
Machine Translation (SP)
|
100% |
79
1.36 IPS |
|
|
Machine Translation (HP)
|
100% |
86
1.48 IPS |
|
|
Machine Translation (Q)
|
48% |
35
1.33 IPS |
