HUAWEI HBP-LX9
Geekbench AI Score
314
Single Precision Score
363
Half Precision Score
332
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 11 2025 11:54 PM |
| Views | 4 |
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% |
216
40.1 IPS |
|
|
Image Classification (HP)
|
100% |
223
41.5 IPS |
|
|
Image Classification (Q)
|
100% |
191
35.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
303
4.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
370
6.00 IPS |
|
|
Image Segmentation (Q)
|
98% |
355
5.77 IPS |
|
|
Pose Estimation (SP)
|
100% |
1633
1.91 IPS |
|
|
Pose Estimation (HP)
|
99% |
2293
2.68 IPS |
|
|
Pose Estimation (Q)
|
95% |
2296
2.69 IPS |
|
|
Object Detection (SP)
|
100% |
160
12.7 IPS |
|
|
Object Detection (HP)
|
99% |
200
15.8 IPS |
|
|
Object Detection (Q)
|
85% |
161
12.9 IPS |
|
|
Face Detection (SP)
|
100% |
647
7.68 IPS |
|
|
Face Detection (HP)
|
100% |
756
8.98 IPS |
|
|
Face Detection (Q)
|
97% |
749
8.93 IPS |
|
|
Depth Estimation (SP)
|
100% |
802
6.18 IPS |
|
|
Depth Estimation (HP)
|
98% |
1124
8.69 IPS |
|
|
Depth Estimation (Q)
|
61% |
878
8.68 IPS |
|
|
Style Transfer (SP)
|
100% |
2457
3.16 IPS |
|
|
Style Transfer (HP)
|
100% |
3466
4.45 IPS |
|
|
Style Transfer (Q)
|
98% |
3423
4.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
480
17.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
658
24.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
660
24.5 IPS |
|
|
Text Classification (SP)
|
35% |
9
86.1 IPS |
|
|
Text Classification (HP)
|
29% |
5
94.3 IPS |
|
|
Text Classification (Q)
|
33% |
9
95.4 IPS |
|
|
Machine Translation (SP)
|
100% |
102
1.76 IPS |
|
|
Machine Translation (HP)
|
100% |
111
1.91 IPS |
|
|
Machine Translation (Q)
|
48% |
50
1.92 IPS |
