HONOR LGE-NX9
Geekbench AI Score
1289
Single Precision Score
2189
Half Precision Score
1923
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | slavatsarev |
| Upload Date | November 11 2025 03:02 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | HONOR LGE-NX9 |
| Model ID | HONOR LGE-NX9 |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 7.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
925
171.9 IPS |
|
|
Image Classification (HP)
|
100% |
1359
252.7 IPS |
|
|
Image Classification (Q)
|
99% |
1284
239.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1664
27.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3206
52.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2238
36.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6153
7.18 IPS |
|
|
Pose Estimation (HP)
|
99% |
11561
13.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
11211
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
696
55.2 IPS |
|
|
Object Detection (HP)
|
99% |
1188
94.2 IPS |
|
|
Object Detection (Q)
|
85% |
1188
95.6 IPS |
|
|
Face Detection (SP)
|
100% |
2496
29.7 IPS |
|
|
Face Detection (HP)
|
100% |
4865
57.8 IPS |
|
|
Face Detection (Q)
|
97% |
3757
44.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3032
23.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
5371
41.5 IPS |
|
|
Depth Estimation (Q)
|
65% |
4312
38.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7012
9.01 IPS |
|
|
Style Transfer (HP)
|
100% |
14113
18.1 IPS |
|
|
Style Transfer (Q)
|
98% |
13985
18.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1385
51.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2612
96.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2841
105.3 IPS |
|
|
Text Classification (SP)
|
35% |
46
444.1 IPS |
|
|
Text Classification (HP)
|
35% |
65
587.5 IPS |
|
|
Text Classification (Q)
|
35% |
61
552.7 IPS |
|
|
Machine Translation (SP)
|
100% |
570
9.81 IPS |
|
|
Machine Translation (HP)
|
97% |
677
11.7 IPS |
|
|
Machine Translation (Q)
|
64% |
462
9.50 IPS |
