Acer Aspire One D255 Acer AOD255
Geekbench AI Score
11
Single Precision Score
13
Half Precision Score
24
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| User | Yegor99 |
| Upload Date | November 16 2025 03:53 PM |
| Views | 6 |
| Notes | Original Windows 10 Pro 22H2 x64 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Atom N450 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Acer AOD255 |
| Motherboard | Acer JE02_PT |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Atom N450 |
| Topology | 1 Processor, 1 Core, 2 Threads |
| Identifier | GenuineIntel Family 6 Model 28 Stepping 10 |
| Base Frequency | 1.66 GHz |
| Cluster 1 | 1 Core |
| Memory Information | |
|---|---|
| Size | 1.00 GB |
| Type | DDR-2 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6
1.16 IPS |
|
|
Image Classification (HP)
|
100% |
7
1.31 IPS |
|
|
Image Classification (Q)
|
99% |
14
2.59 IPS |
|
|
Image Segmentation (SP)
|
100% |
7
0.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
9
0.15 IPS |
|
|
Image Segmentation (Q)
|
98% |
15
0.25 IPS |
|
|
Pose Estimation (SP)
|
100% |
11
0.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
15
0.02 IPS |
|
|
Pose Estimation (Q)
|
94% |
27
0.03 IPS |
|
|
Object Detection (SP)
|
100% |
6
0.47 IPS |
|
|
Object Detection (HP)
|
100% |
7
0.58 IPS |
|
|
Object Detection (Q)
|
86% |
14
1.09 IPS |
|
|
Face Detection (SP)
|
100% |
20
0.24 IPS |
|
|
Face Detection (HP)
|
100% |
21
0.25 IPS |
|
|
Face Detection (Q)
|
97% |
43
0.52 IPS |
|
|
Depth Estimation (SP)
|
100% |
16
0.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
19
0.15 IPS |
|
|
Depth Estimation (Q)
|
78% |
36
0.29 IPS |
|
|
Style Transfer (SP)
|
100% |
30
0.04 IPS |
|
|
Style Transfer (HP)
|
100% |
43
0.06 IPS |
|
|
Style Transfer (Q)
|
98% |
80
0.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7
0.25 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10
0.36 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18
0.66 IPS |
|
|
Text Classification (SP)
|
100% |
13
16.9 IPS |
|
|
Text Classification (HP)
|
100% |
11
14.3 IPS |
|
|
Text Classification (Q)
|
97% |
16
21.5 IPS |
|
|
Machine Translation (SP)
|
100% |
16
0.27 IPS |
|
|
Machine Translation (HP)
|
100% |
15
0.26 IPS |
|
|
Machine Translation (Q)
|
65% |
24
0.49 IPS |
