HUAWEI HBP-LX9
Geekbench AI Score
1056
Single Precision Score
1048
Half Precision Score
1767
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 07 2025 08:00 AM |
| 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% |
493
91.6 IPS |
|
|
Image Classification (HP)
|
100% |
485
90.2 IPS |
|
|
Image Classification (Q)
|
100% |
1381
256.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
638
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
631
10.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1497
24.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2271
2.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
2360
2.75 IPS |
|
|
Pose Estimation (Q)
|
84% |
2839
3.37 IPS |
|
|
Object Detection (SP)
|
98% |
467
37.1 IPS |
|
|
Object Detection (HP)
|
98% |
439
34.9 IPS |
|
|
Object Detection (Q)
|
83% |
1251
101.1 IPS |
|
|
Face Detection (SP)
|
100% |
1445
17.2 IPS |
|
|
Face Detection (HP)
|
100% |
1483
17.6 IPS |
|
|
Face Detection (Q)
|
95% |
3158
37.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
2126
16.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1982
15.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
2798
25.6 IPS |
|
|
Style Transfer (SP)
|
89% |
3572
4.64 IPS |
|
|
Style Transfer (HP)
|
89% |
3526
4.58 IPS |
|
|
Style Transfer (Q)
|
98% |
6237
8.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1192
44.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1209
44.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1699
62.9 IPS |
|
|
Text Classification (SP)
|
100% |
543
724.8 IPS |
|
|
Text Classification (HP)
|
99% |
552
737.1 IPS |
|
|
Text Classification (Q)
|
88% |
930
1.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
734
12.7 IPS |
|
|
Machine Translation (HP)
|
100% |
732
12.6 IPS |
|
|
Machine Translation (Q)
|
50% |
465
16.5 IPS |
