HONOR LGE-NX9
Geekbench AI Score
232
Single Precision Score
232
Half Precision Score
546
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | slavatsarev |
| Upload Date | January 03 2025 05:51 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
134
25.0 IPS |
|
|
Image Classification (HP)
|
100% |
135
25.2 IPS |
|
|
Image Classification (Q)
|
99% |
359
67.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
176
2.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
178
2.89 IPS |
|
|
Image Segmentation (Q)
|
98% |
388
6.30 IPS |
|
|
Pose Estimation (SP)
|
100% |
246
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
244
0.28 IPS |
|
|
Pose Estimation (Q)
|
98% |
937
1.10 IPS |
|
|
Object Detection (SP)
|
100% |
134
10.6 IPS |
|
|
Object Detection (HP)
|
100% |
134
10.7 IPS |
|
|
Object Detection (Q)
|
87% |
384
30.8 IPS |
|
|
Face Detection (SP)
|
100% |
355
4.22 IPS |
|
|
Face Detection (HP)
|
100% |
358
4.25 IPS |
|
|
Face Detection (Q)
|
97% |
784
9.35 IPS |
|
|
Depth Estimation (SP)
|
100% |
306
2.36 IPS |
|
|
Depth Estimation (HP)
|
99% |
307
2.36 IPS |
|
|
Depth Estimation (Q)
|
64% |
745
6.76 IPS |
|
|
Style Transfer (SP)
|
100% |
538
0.69 IPS |
|
|
Style Transfer (HP)
|
100% |
537
0.69 IPS |
|
|
Style Transfer (Q)
|
98% |
1446
1.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
152
5.63 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
152
5.63 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
543
20.1 IPS |
|
|
Text Classification (SP)
|
100% |
199
265.8 IPS |
|
|
Text Classification (HP)
|
100% |
200
266.3 IPS |
|
|
Text Classification (Q)
|
91% |
354
475.9 IPS |
|
|
Machine Translation (SP)
|
100% |
334
5.75 IPS |
|
|
Machine Translation (HP)
|
100% |
333
5.73 IPS |
|
|
Machine Translation (Q)
|
57% |
291
7.11 IPS |
