HUAWEI HBP-LX9
Geekbench AI Score
1057
Single Precision Score
1044
Half Precision Score
1796
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 11 2025 04:23 PM |
| Views | 2 |
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% |
469
87.2 IPS |
|
|
Image Classification (HP)
|
100% |
487
90.6 IPS |
|
|
Image Classification (Q)
|
100% |
1360
252.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
609
9.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
604
9.80 IPS |
|
|
Image Segmentation (Q)
|
98% |
1517
24.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2296
2.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
2234
2.61 IPS |
|
|
Pose Estimation (Q)
|
84% |
2976
3.53 IPS |
|
|
Object Detection (SP)
|
98% |
477
38.0 IPS |
|
|
Object Detection (HP)
|
98% |
434
34.6 IPS |
|
|
Object Detection (Q)
|
83% |
1248
100.8 IPS |
|
|
Face Detection (SP)
|
100% |
1451
17.2 IPS |
|
|
Face Detection (HP)
|
100% |
1441
17.1 IPS |
|
|
Face Detection (Q)
|
95% |
2996
35.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
2194
17.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2147
16.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
2893
26.5 IPS |
|
|
Style Transfer (SP)
|
89% |
3615
4.69 IPS |
|
|
Style Transfer (HP)
|
89% |
3594
4.67 IPS |
|
|
Style Transfer (Q)
|
98% |
6822
8.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1186
43.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1209
44.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1717
63.6 IPS |
|
|
Text Classification (SP)
|
100% |
554
739.3 IPS |
|
|
Text Classification (HP)
|
99% |
532
709.6 IPS |
|
|
Text Classification (Q)
|
88% |
905
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
737
12.7 IPS |
|
|
Machine Translation (HP)
|
100% |
756
13.0 IPS |
|
|
Machine Translation (Q)
|
50% |
498
17.7 IPS |
