AAEON MF-001
Geekbench AI Score
136
Single Precision Score
66
Half Precision Score
160
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| User | techidiot |
| Upload Date | April 04 2025 02:58 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Atom x5-Z8350 |
| 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% |
89
16.5 IPS |
|
|
Image Classification (HP)
|
100% |
31
5.71 IPS |
|
|
Image Classification (Q)
|
96% |
125
23.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
70
1.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
46
0.75 IPS |
|
|
Image Segmentation (Q)
|
97% |
92
1.50 IPS |
|
|
Pose Estimation (SP)
|
100% |
170
0.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
101
0.12 IPS |
|
|
Pose Estimation (Q)
|
86% |
244
0.29 IPS |
|
|
Object Detection (SP)
|
100% |
86
6.81 IPS |
|
|
Object Detection (HP)
|
100% |
36
2.82 IPS |
|
|
Object Detection (Q)
|
58% |
90
9.86 IPS |
|
|
Face Detection (SP)
|
100% |
245
2.91 IPS |
|
|
Face Detection (HP)
|
100% |
102
1.21 IPS |
|
|
Face Detection (Q)
|
96% |
293
3.50 IPS |
|
|
Depth Estimation (SP)
|
100% |
232
1.79 IPS |
|
|
Depth Estimation (HP)
|
99% |
100
0.77 IPS |
|
|
Depth Estimation (Q)
|
78% |
274
2.18 IPS |
|
|
Style Transfer (SP)
|
100% |
431
0.55 IPS |
|
|
Style Transfer (HP)
|
100% |
300
0.39 IPS |
|
|
Style Transfer (Q)
|
87% |
529
0.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
96
3.55 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
60
2.23 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
116
4.31 IPS |
|
|
Text Classification (SP)
|
100% |
67
89.7 IPS |
|
|
Text Classification (HP)
|
100% |
41
54.4 IPS |
|
|
Text Classification (Q)
|
97% |
57
76.0 IPS |
|
|
Machine Translation (SP)
|
100% |
154
2.65 IPS |
|
|
Machine Translation (HP)
|
100% |
46
0.80 IPS |
|
|
Machine Translation (Q)
|
68% |
161
3.12 IPS |
