HUAWEI HBP-LX9
Geekbench AI Score
798
Single Precision Score
798
Half Precision Score
1295
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | January 05 2026 07:47 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
343
63.8 IPS |
|
|
Image Classification (HP)
|
100% |
328
61.1 IPS |
|
|
Image Classification (Q)
|
100% |
947
176.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
429
6.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
436
7.07 IPS |
|
|
Image Segmentation (Q)
|
98% |
1052
17.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1848
2.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
1856
2.17 IPS |
|
|
Pose Estimation (Q)
|
84% |
2094
2.48 IPS |
|
|
Object Detection (SP)
|
98% |
347
27.6 IPS |
|
|
Object Detection (HP)
|
98% |
344
27.4 IPS |
|
|
Object Detection (Q)
|
83% |
881
71.1 IPS |
|
|
Face Detection (SP)
|
100% |
1147
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
1139
13.5 IPS |
|
|
Face Detection (Q)
|
95% |
2206
26.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
1660
12.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1739
13.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
2061
18.9 IPS |
|
|
Style Transfer (SP)
|
89% |
2784
3.61 IPS |
|
|
Style Transfer (HP)
|
89% |
2775
3.60 IPS |
|
|
Style Transfer (Q)
|
98% |
4931
6.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
968
35.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
968
35.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1236
45.8 IPS |
|
|
Text Classification (SP)
|
100% |
395
527.9 IPS |
|
|
Text Classification (HP)
|
99% |
398
531.6 IPS |
|
|
Text Classification (Q)
|
88% |
661
892.0 IPS |
|
|
Machine Translation (SP)
|
100% |
551
9.50 IPS |
|
|
Machine Translation (HP)
|
100% |
547
9.42 IPS |
|
|
Machine Translation (Q)
|
50% |
397
14.1 IPS |
