HONOR LGN-NX1
Geekbench AI Score
578
Single Precision Score
576
Half Precision Score
1119
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 20 2025 08:15 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | HONOR LGN-NX1 |
| Model ID | HONOR LGN-NX1 |
| Motherboard | blair |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 6 Cores @ 2.02 GHz |
| Cluster 2 | 2 Cores @ 2.30 GHz |
| Memory Information | |
|---|---|
| Size | 3.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
251
46.7 IPS |
|
|
Image Classification (HP)
|
100% |
253
47.0 IPS |
|
|
Image Classification (Q)
|
100% |
758
140.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
328
5.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
326
5.29 IPS |
|
|
Image Segmentation (Q)
|
98% |
864
14.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1244
1.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
1241
1.45 IPS |
|
|
Pose Estimation (Q)
|
84% |
1819
2.16 IPS |
|
|
Object Detection (SP)
|
100% |
251
19.9 IPS |
|
|
Object Detection (HP)
|
100% |
251
19.9 IPS |
|
|
Object Detection (Q)
|
83% |
749
60.5 IPS |
|
|
Face Detection (SP)
|
100% |
800
9.51 IPS |
|
|
Face Detection (HP)
|
100% |
797
9.48 IPS |
|
|
Face Detection (Q)
|
95% |
1782
21.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1064
8.20 IPS |
|
|
Depth Estimation (HP)
|
99% |
1060
8.17 IPS |
|
|
Depth Estimation (Q)
|
64% |
1715
15.7 IPS |
|
|
Style Transfer (SP)
|
89% |
2125
2.76 IPS |
|
|
Style Transfer (HP)
|
89% |
2125
2.76 IPS |
|
|
Style Transfer (Q)
|
98% |
4338
5.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
567
20.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
560
20.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1054
39.1 IPS |
|
|
Text Classification (SP)
|
100% |
310
413.2 IPS |
|
|
Text Classification (HP)
|
100% |
307
409.2 IPS |
|
|
Text Classification (Q)
|
88% |
626
844.8 IPS |
|
|
Machine Translation (SP)
|
100% |
516
8.90 IPS |
|
|
Machine Translation (HP)
|
100% |
514
8.86 IPS |
|
|
Machine Translation (Q)
|
50% |
395
14.0 IPS |
