Acer Aspire E1-522
Geekbench AI Score
141
Single Precision Score
81
Half Precision Score
180
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| Upload Date | April 23 2025 06:32 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD A4-5000 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Acer Aspire E1-522 |
| Motherboard | Acer Aspire E1-522 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD A4-5000 |
| Topology | 1 Processor, 4 Cores |
| Identifier | AuthenticAMD Family 22 Model 0 Stepping 1 |
| Base Frequency | 1.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
109
20.2 IPS |
|
|
Image Classification (HP)
|
100% |
42
7.84 IPS |
|
|
Image Classification (Q)
|
96% |
167
31.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
71
1.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
61
0.99 IPS |
|
|
Image Segmentation (Q)
|
97% |
126
2.05 IPS |
|
|
Pose Estimation (SP)
|
100% |
216
0.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
143
0.17 IPS |
|
|
Pose Estimation (Q)
|
86% |
328
0.39 IPS |
|
|
Object Detection (SP)
|
100% |
83
6.60 IPS |
|
|
Object Detection (HP)
|
100% |
42
3.33 IPS |
|
|
Object Detection (Q)
|
58% |
117
12.8 IPS |
|
|
Face Detection (SP)
|
100% |
254
3.02 IPS |
|
|
Face Detection (HP)
|
100% |
116
1.38 IPS |
|
|
Face Detection (Q)
|
96% |
334
3.99 IPS |
|
|
Depth Estimation (SP)
|
100% |
263
2.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
123
0.95 IPS |
|
|
Depth Estimation (Q)
|
78% |
310
2.47 IPS |
|
|
Style Transfer (SP)
|
100% |
550
0.71 IPS |
|
|
Style Transfer (HP)
|
100% |
408
0.52 IPS |
|
|
Style Transfer (Q)
|
87% |
609
0.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
112
4.13 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
82
3.02 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
128
4.76 IPS |
|
|
Text Classification (SP)
|
100% |
48
63.7 IPS |
|
|
Text Classification (HP)
|
100% |
42
56.6 IPS |
|
|
Text Classification (Q)
|
97% |
55
73.0 IPS |
|
|
Machine Translation (SP)
|
100% |
114
1.97 IPS |
|
|
Machine Translation (HP)
|
100% |
41
0.71 IPS |
|
|
Machine Translation (Q)
|
68% |
102
1.97 IPS |
