HONOR ALI-NX1
Geekbench AI Score
265
Single Precision Score
262
Half Precision Score
549
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 15 2025 04:57 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | HONOR ALI-NX1 |
| Model ID | HONOR ALI-NX1 |
| Motherboard | parrot |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 11.18 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
168
31.3 IPS |
|
|
Image Classification (HP)
|
100% |
156
29.1 IPS |
|
|
Image Classification (Q)
|
100% |
502
93.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
173
2.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
175
2.83 IPS |
|
|
Image Segmentation (Q)
|
98% |
673
10.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
610
0.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
611
0.71 IPS |
|
|
Pose Estimation (Q)
|
84% |
1073
1.27 IPS |
|
|
Object Detection (SP)
|
100% |
122
9.65 IPS |
|
|
Object Detection (HP)
|
100% |
123
9.73 IPS |
|
|
Object Detection (Q)
|
83% |
356
28.7 IPS |
|
|
Face Detection (SP)
|
100% |
314
3.73 IPS |
|
|
Face Detection (HP)
|
100% |
315
3.74 IPS |
|
|
Face Detection (Q)
|
95% |
713
8.52 IPS |
|
|
Depth Estimation (SP)
|
100% |
448
3.45 IPS |
|
|
Depth Estimation (HP)
|
99% |
453
3.49 IPS |
|
|
Depth Estimation (Q)
|
64% |
903
8.27 IPS |
|
|
Style Transfer (SP)
|
89% |
1027
1.33 IPS |
|
|
Style Transfer (HP)
|
89% |
1029
1.34 IPS |
|
|
Style Transfer (Q)
|
98% |
2014
2.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
213
7.87 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
197
7.27 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
490
18.2 IPS |
|
|
Text Classification (SP)
|
100% |
120
160.6 IPS |
|
|
Text Classification (HP)
|
100% |
120
160.1 IPS |
|
|
Text Classification (Q)
|
88% |
196
264.1 IPS |
|
|
Machine Translation (SP)
|
100% |
218
3.75 IPS |
|
|
Machine Translation (HP)
|
100% |
216
3.71 IPS |
|
|
Machine Translation (Q)
|
50% |
156
5.53 IPS |
