HUAWEI HBP-LX9
Geekbench AI Score
318
Single Precision Score
397
Half Precision Score
328
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 11 2025 06:35 AM |
| Views | 5 |
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% |
207
38.4 IPS |
|
|
Image Classification (HP)
|
100% |
202
37.6 IPS |
|
|
Image Classification (Q)
|
100% |
185
34.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
308
5.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
371
6.02 IPS |
|
|
Image Segmentation (Q)
|
98% |
354
5.76 IPS |
|
|
Pose Estimation (SP)
|
100% |
1629
1.90 IPS |
|
|
Pose Estimation (HP)
|
99% |
2279
2.66 IPS |
|
|
Pose Estimation (Q)
|
95% |
2266
2.66 IPS |
|
|
Object Detection (SP)
|
100% |
157
12.5 IPS |
|
|
Object Detection (HP)
|
99% |
251
19.9 IPS |
|
|
Object Detection (Q)
|
85% |
172
13.8 IPS |
|
|
Face Detection (SP)
|
100% |
689
8.18 IPS |
|
|
Face Detection (HP)
|
100% |
800
9.51 IPS |
|
|
Face Detection (Q)
|
97% |
761
9.07 IPS |
|
|
Depth Estimation (SP)
|
100% |
795
6.12 IPS |
|
|
Depth Estimation (HP)
|
98% |
1157
8.94 IPS |
|
|
Depth Estimation (Q)
|
61% |
905
8.94 IPS |
|
|
Style Transfer (SP)
|
100% |
2442
3.14 IPS |
|
|
Style Transfer (HP)
|
100% |
3488
4.48 IPS |
|
|
Style Transfer (Q)
|
98% |
3446
4.44 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
483
17.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
628
23.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
654
24.3 IPS |
|
|
Text Classification (SP)
|
35% |
10
94.2 IPS |
|
|
Text Classification (HP)
|
35% |
10
100.5 IPS |
|
|
Text Classification (Q)
|
33% |
8
92.1 IPS |
|
|
Machine Translation (SP)
|
100% |
102
1.76 IPS |
|
|
Machine Translation (HP)
|
100% |
113
1.94 IPS |
|
|
Machine Translation (Q)
|
48% |
46
1.75 IPS |
