HONOR ELP-NX9
Geekbench AI Score
1041
Single Precision Score
1165
Half Precision Score
1693
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 06 2025 05:49 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | HONOR ELP-NX9 |
| Model ID | HONOR ELP-NX9 |
| Motherboard | ELP |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.01 GHz |
| Memory Information | |
|---|---|
| Size | 11.04 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
910
169.3 IPS |
|
|
Image Classification (HP)
|
100% |
952
177.1 IPS |
|
|
Image Classification (Q)
|
100% |
1532
284.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1431
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1458
23.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1340
21.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2536
2.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
2438
2.84 IPS |
|
|
Pose Estimation (Q)
|
84% |
5336
6.33 IPS |
|
|
Object Detection (SP)
|
98% |
590
47.0 IPS |
|
|
Object Detection (HP)
|
98% |
591
47.0 IPS |
|
|
Object Detection (Q)
|
83% |
1338
108.1 IPS |
|
|
Face Detection (SP)
|
100% |
1045
12.4 IPS |
|
|
Face Detection (HP)
|
100% |
1108
13.2 IPS |
|
|
Face Detection (Q)
|
95% |
2197
26.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
1426
11.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1434
11.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
2249
20.6 IPS |
|
|
Style Transfer (SP)
|
89% |
3119
4.05 IPS |
|
|
Style Transfer (HP)
|
89% |
5973
7.75 IPS |
|
|
Style Transfer (Q)
|
98% |
5484
7.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
826
30.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
772
28.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1372
50.8 IPS |
|
|
Text Classification (SP)
|
100% |
308
410.9 IPS |
|
|
Text Classification (HP)
|
99% |
313
418.0 IPS |
|
|
Text Classification (Q)
|
88% |
577
778.1 IPS |
|
|
Machine Translation (SP)
|
100% |
653
11.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1007
17.3 IPS |
|
|
Machine Translation (Q)
|
50% |
617
21.9 IPS |
