AAEON MF-001
Geekbench AI Score
137
Single Precision Score
135
Half Precision Score
110
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| User | techidiot |
| Upload Date | April 04 2025 03:55 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Atom(TM) x5-Z8350 CPU @ 1.44GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise LTSC (64-bit) |
| Model | AAEON MF-001 |
| Motherboard | AAEON MF-001 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Atom x5-Z8350 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 76 Stepping 4 |
| Base Frequency | 1.44 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 2.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
92
17.1 IPS |
|
|
Image Classification (HP)
|
100% |
90
16.8 IPS |
|
|
Image Classification (Q)
|
100% |
68
12.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
118
1.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
117
1.90 IPS |
|
|
Image Segmentation (Q)
|
99% |
89
1.45 IPS |
|
|
Pose Estimation (SP)
|
100% |
153
0.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
154
0.18 IPS |
|
|
Pose Estimation (Q)
|
94% |
126
0.15 IPS |
|
|
Object Detection (SP)
|
100% |
87
6.89 IPS |
|
|
Object Detection (HP)
|
100% |
86
6.86 IPS |
|
|
Object Detection (Q)
|
87% |
67
5.37 IPS |
|
|
Face Detection (SP)
|
100% |
284
3.38 IPS |
|
|
Face Detection (HP)
|
100% |
284
3.37 IPS |
|
|
Face Detection (Q)
|
97% |
208
2.48 IPS |
|
|
Depth Estimation (SP)
|
100% |
214
1.65 IPS |
|
|
Depth Estimation (HP)
|
99% |
215
1.66 IPS |
|
|
Depth Estimation (Q)
|
81% |
167
1.32 IPS |
|
|
Style Transfer (SP)
|
100% |
336
0.43 IPS |
|
|
Style Transfer (HP)
|
100% |
302
0.39 IPS |
|
|
Style Transfer (Q)
|
98% |
388
0.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
94
3.48 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
94
3.49 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
78
2.90 IPS |
|
|
Text Classification (SP)
|
100% |
72
96.7 IPS |
|
|
Text Classification (HP)
|
100% |
72
95.6 IPS |
|
|
Text Classification (Q)
|
91% |
45
60.0 IPS |
|
|
Machine Translation (SP)
|
100% |
118
2.04 IPS |
|
|
Machine Translation (HP)
|
100% |
118
2.03 IPS |
|
|
Machine Translation (Q)
|
100% |
117
2.01 IPS |
