HONOR ELP-NX9
Geekbench AI Score
1341
Single Precision Score
1386
Half Precision Score
1879
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 18 2024 08:11 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
1482
275.6 IPS |
|
|
Image Classification (HP)
|
100% |
615
114.3 IPS |
|
|
Image Classification (Q)
|
100% |
1009
187.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1521
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1628
26.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2552
41.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2914
3.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
2825
3.30 IPS |
|
|
Pose Estimation (Q)
|
84% |
6321
7.50 IPS |
|
|
Object Detection (SP)
|
98% |
583
46.4 IPS |
|
|
Object Detection (HP)
|
98% |
621
49.4 IPS |
|
|
Object Detection (Q)
|
83% |
1083
87.4 IPS |
|
|
Face Detection (SP)
|
100% |
1173
13.9 IPS |
|
|
Face Detection (HP)
|
100% |
1170
13.9 IPS |
|
|
Face Detection (Q)
|
95% |
2200
26.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3054
23.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1405
10.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
2407
22.0 IPS |
|
|
Style Transfer (SP)
|
89% |
7202
9.35 IPS |
|
|
Style Transfer (HP)
|
89% |
7170
9.31 IPS |
|
|
Style Transfer (Q)
|
98% |
13682
17.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
729
26.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1485
54.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1416
52.5 IPS |
|
|
Text Classification (SP)
|
100% |
368
490.9 IPS |
|
|
Text Classification (HP)
|
99% |
651
868.4 IPS |
|
|
Text Classification (Q)
|
88% |
529
712.8 IPS |
|
|
Machine Translation (SP)
|
100% |
712
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1314
22.6 IPS |
|
|
Machine Translation (Q)
|
50% |
576
20.5 IPS |
