HONOR LGN-LX1
Geekbench AI Score
394
Single Precision Score
394
Half Precision Score
534
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 10 2025 03:10 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
190
35.4 IPS |
|
|
Image Classification (HP)
|
100% |
194
36.1 IPS |
|
|
Image Classification (Q)
|
100% |
363
67.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
237
3.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
241
3.90 IPS |
|
|
Image Segmentation (Q)
|
98% |
454
7.39 IPS |
|
|
Pose Estimation (SP)
|
100% |
909
1.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
903
1.05 IPS |
|
|
Pose Estimation (Q)
|
84% |
769
0.91 IPS |
|
|
Object Detection (SP)
|
100% |
185
14.7 IPS |
|
|
Object Detection (HP)
|
100% |
185
14.7 IPS |
|
|
Object Detection (Q)
|
83% |
364
29.4 IPS |
|
|
Face Detection (SP)
|
100% |
512
6.08 IPS |
|
|
Face Detection (HP)
|
100% |
507
6.02 IPS |
|
|
Face Detection (Q)
|
95% |
829
9.89 IPS |
|
|
Depth Estimation (SP)
|
100% |
475
3.66 IPS |
|
|
Depth Estimation (HP)
|
99% |
480
3.70 IPS |
|
|
Depth Estimation (Q)
|
64% |
820
7.51 IPS |
|
|
Style Transfer (SP)
|
89% |
1588
2.06 IPS |
|
|
Style Transfer (HP)
|
89% |
1594
2.07 IPS |
|
|
Style Transfer (Q)
|
98% |
1963
2.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
393
14.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
389
14.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
474
17.6 IPS |
|
|
Text Classification (SP)
|
100% |
224
299.1 IPS |
|
|
Text Classification (HP)
|
100% |
219
292.4 IPS |
|
|
Text Classification (Q)
|
88% |
337
453.9 IPS |
|
|
Machine Translation (SP)
|
100% |
355
6.11 IPS |
|
|
Machine Translation (HP)
|
100% |
353
6.07 IPS |
|
|
Machine Translation (Q)
|
50% |
193
6.85 IPS |
