HUAWEI HBP-LX9
Geekbench AI Score
174
Single Precision Score
226
Half Precision Score
194
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | January 06 2026 03:11 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% |
106
19.8 IPS |
|
|
Image Classification (HP)
|
100% |
128
23.9 IPS |
|
|
Image Classification (Q)
|
100% |
121
22.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
151
2.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
201
3.26 IPS |
|
|
Image Segmentation (Q)
|
98% |
197
3.20 IPS |
|
|
Pose Estimation (SP)
|
100% |
726
0.85 IPS |
|
|
Pose Estimation (HP)
|
99% |
1045
1.22 IPS |
|
|
Pose Estimation (Q)
|
95% |
1045
1.22 IPS |
|
|
Object Detection (SP)
|
100% |
91
7.26 IPS |
|
|
Object Detection (HP)
|
99% |
106
8.38 IPS |
|
|
Object Detection (Q)
|
85% |
100
8.02 IPS |
|
|
Face Detection (SP)
|
100% |
373
4.44 IPS |
|
|
Face Detection (HP)
|
100% |
515
6.12 IPS |
|
|
Face Detection (Q)
|
97% |
488
5.82 IPS |
|
|
Depth Estimation (SP)
|
100% |
414
3.19 IPS |
|
|
Depth Estimation (HP)
|
98% |
601
4.65 IPS |
|
|
Depth Estimation (Q)
|
61% |
465
4.60 IPS |
|
|
Style Transfer (SP)
|
100% |
1075
1.38 IPS |
|
|
Style Transfer (HP)
|
100% |
1578
2.03 IPS |
|
|
Style Transfer (Q)
|
98% |
1569
2.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
265
9.80 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
368
13.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
367
13.6 IPS |
|
|
Text Classification (SP)
|
35% |
7
67.1 IPS |
|
|
Text Classification (HP)
|
35% |
8
75.3 IPS |
|
|
Text Classification (Q)
|
33% |
7
76.1 IPS |
|
|
Machine Translation (SP)
|
100% |
80
1.37 IPS |
|
|
Machine Translation (HP)
|
100% |
87
1.49 IPS |
|
|
Machine Translation (Q)
|
48% |
34
1.32 IPS |
