HUAWEI HBP-LX9
Geekbench AI Score
232
Single Precision Score
222
Half Precision Score
500
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 28 2025 01:13 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
214
39.7 IPS |
|
|
Image Classification (HP)
|
100% |
215
40.0 IPS |
|
|
Image Classification (Q)
|
99% |
462
86.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
273
4.43 IPS |
|
|
Image Segmentation (HP)
|
100% |
164
2.66 IPS |
|
|
Image Segmentation (Q)
|
98% |
333
5.42 IPS |
|
|
Pose Estimation (SP)
|
100% |
211
0.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
211
0.25 IPS |
|
|
Pose Estimation (Q)
|
98% |
775
0.91 IPS |
|
|
Object Detection (SP)
|
100% |
119
9.44 IPS |
|
|
Object Detection (HP)
|
100% |
120
9.51 IPS |
|
|
Object Detection (Q)
|
87% |
352
28.2 IPS |
|
|
Face Detection (SP)
|
100% |
336
3.99 IPS |
|
|
Face Detection (HP)
|
100% |
344
4.08 IPS |
|
|
Face Detection (Q)
|
97% |
749
8.93 IPS |
|
|
Depth Estimation (SP)
|
100% |
274
2.11 IPS |
|
|
Depth Estimation (HP)
|
99% |
276
2.12 IPS |
|
|
Depth Estimation (Q)
|
64% |
660
5.98 IPS |
|
|
Style Transfer (SP)
|
100% |
492
0.63 IPS |
|
|
Style Transfer (HP)
|
100% |
492
0.63 IPS |
|
|
Style Transfer (Q)
|
98% |
1306
1.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
132
4.86 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
132
4.86 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
459
17.0 IPS |
|
|
Text Classification (SP)
|
100% |
176
235.3 IPS |
|
|
Text Classification (HP)
|
100% |
177
235.9 IPS |
|
|
Text Classification (Q)
|
91% |
302
405.8 IPS |
|
|
Machine Translation (SP)
|
100% |
303
5.23 IPS |
|
|
Machine Translation (HP)
|
100% |
303
5.22 IPS |
|
|
Machine Translation (Q)
|
57% |
261
6.38 IPS |
