HONOR ELI-NX9
Geekbench AI Score
95
Single Precision Score
100
Half Precision Score
190
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 15 2024 10:46 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 7.17 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
60
11.2 IPS |
|
|
Image Classification (HP)
|
100% |
61
11.4 IPS |
|
|
Image Classification (Q)
|
99% |
144
26.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
76
1.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
77
1.24 IPS |
|
|
Image Segmentation (Q)
|
98% |
113
1.84 IPS |
|
|
Pose Estimation (SP)
|
100% |
150
0.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
151
0.18 IPS |
|
|
Pose Estimation (Q)
|
98% |
522
0.61 IPS |
|
|
Object Detection (SP)
|
100% |
64
5.09 IPS |
|
|
Object Detection (HP)
|
100% |
65
5.15 IPS |
|
|
Object Detection (Q)
|
87% |
165
13.3 IPS |
|
|
Face Detection (SP)
|
100% |
98
1.17 IPS |
|
|
Face Detection (HP)
|
100% |
101
1.20 IPS |
|
|
Face Detection (Q)
|
97% |
288
3.43 IPS |
|
|
Depth Estimation (SP)
|
100% |
105
0.81 IPS |
|
|
Depth Estimation (HP)
|
99% |
110
0.85 IPS |
|
|
Depth Estimation (Q)
|
64% |
193
1.75 IPS |
|
|
Style Transfer (SP)
|
100% |
209
0.27 IPS |
|
|
Style Transfer (HP)
|
100% |
208
0.27 IPS |
|
|
Style Transfer (Q)
|
98% |
457
0.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
62
2.28 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
89
3.29 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
183
6.78 IPS |
|
|
Text Classification (SP)
|
100% |
94
125.5 IPS |
|
|
Text Classification (HP)
|
100% |
64
86.1 IPS |
|
|
Text Classification (Q)
|
91% |
89
119.9 IPS |
|
|
Machine Translation (SP)
|
100% |
115
1.99 IPS |
|
|
Machine Translation (HP)
|
100% |
168
2.89 IPS |
|
|
Machine Translation (Q)
|
57% |
106
2.60 IPS |
