HONOR ALI-NX3
Geekbench AI Score
292
Single Precision Score
289
Half Precision Score
572
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | epicgeek |
| Upload Date | November 26 2024 07:55 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | HONOR ALI-NX3 |
| Model ID | HONOR ALI-NX3 |
| 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 | 7.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
160
29.8 IPS |
|
|
Image Classification (HP)
|
100% |
170
31.5 IPS |
|
|
Image Classification (Q)
|
100% |
468
87.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
172
2.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
172
2.78 IPS |
|
|
Image Segmentation (Q)
|
98% |
482
7.84 IPS |
|
|
Pose Estimation (SP)
|
100% |
694
0.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
681
0.80 IPS |
|
|
Pose Estimation (Q)
|
84% |
1201
1.42 IPS |
|
|
Object Detection (SP)
|
100% |
140
11.1 IPS |
|
|
Object Detection (HP)
|
100% |
140
11.1 IPS |
|
|
Object Detection (Q)
|
83% |
395
31.9 IPS |
|
|
Face Detection (SP)
|
100% |
371
4.41 IPS |
|
|
Face Detection (HP)
|
100% |
362
4.31 IPS |
|
|
Face Detection (Q)
|
95% |
820
9.79 IPS |
|
|
Depth Estimation (SP)
|
100% |
506
3.90 IPS |
|
|
Depth Estimation (HP)
|
99% |
466
3.59 IPS |
|
|
Depth Estimation (Q)
|
64% |
915
8.38 IPS |
|
|
Style Transfer (SP)
|
89% |
1060
1.38 IPS |
|
|
Style Transfer (HP)
|
89% |
1057
1.37 IPS |
|
|
Style Transfer (Q)
|
98% |
2344
3.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
238
8.80 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
239
8.83 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
570
21.1 IPS |
|
|
Text Classification (SP)
|
100% |
143
191.0 IPS |
|
|
Text Classification (HP)
|
100% |
141
188.7 IPS |
|
|
Text Classification (Q)
|
88% |
232
313.2 IPS |
|
|
Machine Translation (SP)
|
100% |
249
4.29 IPS |
|
|
Machine Translation (HP)
|
100% |
246
4.24 IPS |
|
|
Machine Translation (Q)
|
50% |
151
5.35 IPS |
