Acer Aspire A317-32
Geekbench AI Score
148
Single Precision Score
96
Half Precision Score
284
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | February 25 2025 01:45 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Celeron N4020 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (64-bit) |
| Model | Acer Aspire A317-32 |
| Motherboard | GLK Dopey_GL |
| Power Plan | Atlas Power Scheme |
| CPU Information | |
|---|---|
| Name | Intel Celeron N4020 |
| Topology | 1 Processor, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 122 Stepping 8 |
| Base Frequency | 1.10 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
102
18.9 IPS |
|
|
Image Classification (HP)
|
100% |
47
8.70 IPS |
|
|
Image Classification (Q)
|
96% |
190
35.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
84
1.36 IPS |
|
|
Image Segmentation (HP)
|
100% |
65
1.06 IPS |
|
|
Image Segmentation (Q)
|
97% |
169
2.74 IPS |
|
|
Pose Estimation (SP)
|
100% |
153
0.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
121
0.14 IPS |
|
|
Pose Estimation (Q)
|
86% |
363
0.43 IPS |
|
|
Object Detection (SP)
|
100% |
85
6.74 IPS |
|
|
Object Detection (HP)
|
100% |
50
3.95 IPS |
|
|
Object Detection (Q)
|
58% |
138
15.0 IPS |
|
|
Face Detection (SP)
|
100% |
255
3.03 IPS |
|
|
Face Detection (HP)
|
100% |
136
1.61 IPS |
|
|
Face Detection (Q)
|
96% |
407
4.86 IPS |
|
|
Depth Estimation (SP)
|
100% |
224
1.72 IPS |
|
|
Depth Estimation (HP)
|
99% |
137
1.06 IPS |
|
|
Depth Estimation (Q)
|
78% |
445
3.54 IPS |
|
|
Style Transfer (SP)
|
100% |
401
0.52 IPS |
|
|
Style Transfer (HP)
|
100% |
356
0.46 IPS |
|
|
Style Transfer (Q)
|
87% |
788
1.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
100
3.68 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
76
2.82 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
225
8.34 IPS |
|
|
Text Classification (SP)
|
100% |
111
147.8 IPS |
|
|
Text Classification (HP)
|
100% |
83
110.7 IPS |
|
|
Text Classification (Q)
|
97% |
227
304.3 IPS |
|
|
Machine Translation (SP)
|
100% |
185
3.19 IPS |
|
|
Machine Translation (HP)
|
100% |
89
1.54 IPS |
|
|
Machine Translation (Q)
|
68% |
301
5.81 IPS |
