HONOR ALI-NX3
Geekbench AI Score
54
Single Precision Score
54
Half Precision Score
5652
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | epicgeek |
| Upload Date | November 26 2024 10:38 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
30
5.58 IPS |
|
|
Image Classification (HP)
|
100% |
30
5.65 IPS |
|
|
Image Classification (Q)
|
97% |
6605
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
41
0.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
41
0.67 IPS |
|
|
Image Segmentation (Q)
|
98% |
5747
93.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
49
0.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
49
0.06 IPS |
|
|
Pose Estimation (Q)
|
98% |
21247
24.9 IPS |
|
|
Object Detection (SP)
|
100% |
32
2.50 IPS |
|
|
Object Detection (HP)
|
100% |
32
2.51 IPS |
|
|
Object Detection (Q)
|
86% |
3028
243.5 IPS |
|
|
Face Detection (SP)
|
100% |
73
0.87 IPS |
|
|
Face Detection (HP)
|
100% |
74
0.88 IPS |
|
|
Face Detection (Q)
|
97% |
14138
168.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
67
0.52 IPS |
|
|
Depth Estimation (HP)
|
99% |
67
0.52 IPS |
|
|
Depth Estimation (Q)
|
63% |
15636
146.4 IPS |
|
|
Style Transfer (SP)
|
100% |
131
0.17 IPS |
|
|
Style Transfer (HP)
|
100% |
130
0.17 IPS |
|
|
Style Transfer (Q)
|
98% |
46041
59.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39
1.43 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39
1.43 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
10567
391.5 IPS |
|
|
Text Classification (SP)
|
100% |
52
68.8 IPS |
|
|
Text Classification (HP)
|
100% |
52
69.4 IPS |
|
|
Text Classification (Q)
|
93% |
2348
3.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
86
1.47 IPS |
|
|
Machine Translation (HP)
|
100% |
86
1.49 IPS |
|
|
Machine Translation (Q)
|
30% |
54
10.8 IPS |
