HONOR ELI-NX9
Geekbench AI Score
859
Single Precision Score
885
Half Precision Score
1624
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Eldrid26 |
| Upload Date | July 14 2025 08:14 PM |
| Views | 8 |
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% |
842
156.6 IPS |
|
|
Image Classification (HP)
|
100% |
843
156.8 IPS |
|
|
Image Classification (Q)
|
100% |
2000
371.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
790
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
781
12.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2037
33.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1461
1.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
2120
2.47 IPS |
|
|
Pose Estimation (Q)
|
84% |
2627
3.12 IPS |
|
|
Object Detection (SP)
|
98% |
708
56.3 IPS |
|
|
Object Detection (HP)
|
98% |
698
55.5 IPS |
|
|
Object Detection (Q)
|
83% |
1613
130.3 IPS |
|
|
Face Detection (SP)
|
100% |
1362
16.2 IPS |
|
|
Face Detection (HP)
|
100% |
1358
16.1 IPS |
|
|
Face Detection (Q)
|
95% |
4278
51.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
1656
12.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1656
12.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
2124
19.5 IPS |
|
|
Style Transfer (SP)
|
89% |
2307
2.99 IPS |
|
|
Style Transfer (HP)
|
89% |
2302
2.99 IPS |
|
|
Style Transfer (Q)
|
98% |
5480
7.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
512
18.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
506
18.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1436
53.2 IPS |
|
|
Text Classification (SP)
|
100% |
256
341.4 IPS |
|
|
Text Classification (HP)
|
99% |
256
341.6 IPS |
|
|
Text Classification (Q)
|
88% |
427
576.4 IPS |
|
|
Machine Translation (SP)
|
100% |
467
8.04 IPS |
|
|
Machine Translation (HP)
|
100% |
456
7.86 IPS |
|
|
Machine Translation (Q)
|
50% |
243
8.61 IPS |
