HONOR LGN-LX1
Geekbench AI Score
148
Single Precision Score
227
Half Precision Score
208
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 10 2025 03:27 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | HONOR LGN-LX1 |
| Model ID | HONOR LGN-LX1 |
| Motherboard | bengal |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3337 revision 0 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores @ 1.90 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
109
20.2 IPS |
|
|
Image Classification (HP)
|
100% |
173
32.1 IPS |
|
|
Image Classification (Q)
|
99% |
163
30.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
153
2.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
241
3.90 IPS |
|
|
Image Segmentation (Q)
|
98% |
223
3.63 IPS |
|
|
Pose Estimation (SP)
|
100% |
524
0.61 IPS |
|
|
Pose Estimation (HP)
|
99% |
857
1.00 IPS |
|
|
Pose Estimation (Q)
|
97% |
843
0.99 IPS |
|
|
Object Detection (SP)
|
100% |
91
7.19 IPS |
|
|
Object Detection (HP)
|
99% |
143
11.3 IPS |
|
|
Object Detection (Q)
|
85% |
136
10.9 IPS |
|
|
Face Detection (SP)
|
100% |
325
3.86 IPS |
|
|
Face Detection (HP)
|
100% |
511
6.08 IPS |
|
|
Face Detection (Q)
|
97% |
466
5.56 IPS |
|
|
Depth Estimation (SP)
|
100% |
332
2.55 IPS |
|
|
Depth Estimation (HP)
|
98% |
504
3.89 IPS |
|
|
Depth Estimation (Q)
|
63% |
409
3.78 IPS |
|
|
Style Transfer (SP)
|
100% |
777
1.00 IPS |
|
|
Style Transfer (HP)
|
100% |
1195
1.54 IPS |
|
|
Style Transfer (Q)
|
98% |
1158
1.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
136
5.03 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
199
7.35 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
179
6.62 IPS |
|
|
Text Classification (SP)
|
35% |
6
58.2 IPS |
|
|
Text Classification (HP)
|
35% |
10
91.9 IPS |
|
|
Text Classification (Q)
|
35% |
10
89.8 IPS |
|
|
Machine Translation (SP)
|
100% |
94
1.63 IPS |
|
|
Machine Translation (HP)
|
97% |
119
2.05 IPS |
|
|
Machine Translation (Q)
|
64% |
93
1.91 IPS |
