HUAWEI HBP-LX9
Geekbench AI Score
173
Single Precision Score
211
Half Precision Score
194
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | January 06 2026 02:55 AM |
| Views | 2 |
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% |
105
19.5 IPS |
|
|
Image Classification (HP)
|
100% |
131
24.3 IPS |
|
|
Image Classification (Q)
|
100% |
122
22.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
149
2.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
203
3.29 IPS |
|
|
Image Segmentation (Q)
|
98% |
196
3.19 IPS |
|
|
Pose Estimation (SP)
|
100% |
722
0.84 IPS |
|
|
Pose Estimation (HP)
|
99% |
1045
1.22 IPS |
|
|
Pose Estimation (Q)
|
95% |
1033
1.21 IPS |
|
|
Object Detection (SP)
|
100% |
90
7.15 IPS |
|
|
Object Detection (HP)
|
99% |
113
8.97 IPS |
|
|
Object Detection (Q)
|
85% |
101
8.13 IPS |
|
|
Face Detection (SP)
|
100% |
374
4.45 IPS |
|
|
Face Detection (HP)
|
100% |
517
6.14 IPS |
|
|
Face Detection (Q)
|
97% |
500
5.97 IPS |
|
|
Depth Estimation (SP)
|
100% |
423
3.26 IPS |
|
|
Depth Estimation (HP)
|
98% |
579
4.47 IPS |
|
|
Depth Estimation (Q)
|
61% |
463
4.58 IPS |
|
|
Style Transfer (SP)
|
100% |
1084
1.39 IPS |
|
|
Style Transfer (HP)
|
100% |
1577
2.03 IPS |
|
|
Style Transfer (Q)
|
98% |
1577
2.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
259
9.57 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
357
13.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
347
12.9 IPS |
|
|
Text Classification (SP)
|
35% |
7
66.4 IPS |
|
|
Text Classification (HP)
|
29% |
4
69.5 IPS |
|
|
Text Classification (Q)
|
34% |
7
70.7 IPS |
|
|
Machine Translation (SP)
|
100% |
78
1.35 IPS |
|
|
Machine Translation (HP)
|
100% |
86
1.48 IPS |
|
|
Machine Translation (Q)
|
48% |
35
1.33 IPS |
