HUAWEI HBP-LX9
Geekbench AI Score
1101
Single Precision Score
1123
Half Precision Score
1779
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 10 2025 09:23 PM |
| Views | 7 |
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% |
514
95.7 IPS |
|
|
Image Classification (HP)
|
100% |
528
98.2 IPS |
|
|
Image Classification (Q)
|
100% |
1421
264.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
649
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
645
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1496
24.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2478
2.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
2484
2.90 IPS |
|
|
Pose Estimation (Q)
|
84% |
2965
3.52 IPS |
|
|
Object Detection (SP)
|
98% |
461
36.7 IPS |
|
|
Object Detection (HP)
|
98% |
506
40.2 IPS |
|
|
Object Detection (Q)
|
83% |
1191
96.2 IPS |
|
|
Face Detection (SP)
|
100% |
1509
17.9 IPS |
|
|
Face Detection (HP)
|
100% |
1491
17.7 IPS |
|
|
Face Detection (Q)
|
95% |
3103
37.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2154
16.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2333
18.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
2884
26.4 IPS |
|
|
Style Transfer (SP)
|
89% |
3784
4.91 IPS |
|
|
Style Transfer (HP)
|
89% |
3828
4.97 IPS |
|
|
Style Transfer (Q)
|
98% |
6531
8.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1242
45.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1268
46.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1724
63.9 IPS |
|
|
Text Classification (SP)
|
100% |
587
783.7 IPS |
|
|
Text Classification (HP)
|
99% |
579
772.3 IPS |
|
|
Text Classification (Q)
|
88% |
912
1.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
766
13.2 IPS |
|
|
Machine Translation (HP)
|
100% |
764
13.2 IPS |
|
|
Machine Translation (Q)
|
50% |
462
16.4 IPS |
