HONOR ELI-NX9
Geekbench AI Score
1066
Single Precision Score
1118
Half Precision Score
2480
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 24 2025 01:25 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | HONOR ELI-NX9 |
| Model ID | HONOR ELI-NX9 |
| Motherboard | crow |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3405 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.40 GHz |
| Cluster 3 | 1 Core @ 2.63 GHz |
| Memory Information | |
|---|---|
| Size | 11.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
835
155.2 IPS |
|
|
Image Classification (HP)
|
100% |
832
154.7 IPS |
|
|
Image Classification (Q)
|
100% |
1962
364.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
834
13.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
824
13.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2077
33.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2059
2.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
2131
2.49 IPS |
|
|
Pose Estimation (Q)
|
84% |
5706
6.77 IPS |
|
|
Object Detection (SP)
|
98% |
736
58.6 IPS |
|
|
Object Detection (HP)
|
98% |
740
58.9 IPS |
|
|
Object Detection (Q)
|
83% |
1708
138.0 IPS |
|
|
Face Detection (SP)
|
100% |
1370
16.3 IPS |
|
|
Face Detection (HP)
|
100% |
1380
16.4 IPS |
|
|
Face Detection (Q)
|
95% |
4439
53.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
1512
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1473
11.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
3616
33.1 IPS |
|
|
Style Transfer (SP)
|
89% |
4403
5.72 IPS |
|
|
Style Transfer (HP)
|
89% |
4492
5.83 IPS |
|
|
Style Transfer (Q)
|
98% |
11285
14.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
501
18.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
764
28.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2720
100.8 IPS |
|
|
Text Classification (SP)
|
100% |
478
637.8 IPS |
|
|
Text Classification (HP)
|
99% |
489
653.3 IPS |
|
|
Text Classification (Q)
|
88% |
927
1.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
828
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
829
14.3 IPS |
|
|
Machine Translation (Q)
|
50% |
487
17.3 IPS |
