Acer Aspire E1-572
Geekbench AI Score
495
Single Precision Score
292
Half Precision Score
488
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 07 2025 11:07 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-4200U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Acer Aspire E1-572 |
| Motherboard | Acer EA50_HW |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-4200U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 69 Stepping 1 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 6.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
278
51.7 IPS |
|
|
Image Classification (HP)
|
100% |
116
21.6 IPS |
|
|
Image Classification (Q)
|
96% |
348
65.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
204
3.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
160
2.59 IPS |
|
|
Image Segmentation (Q)
|
97% |
242
3.93 IPS |
|
|
Pose Estimation (SP)
|
100% |
695
0.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
580
0.68 IPS |
|
|
Pose Estimation (Q)
|
86% |
779
0.92 IPS |
|
|
Object Detection (SP)
|
100% |
326
25.9 IPS |
|
|
Object Detection (HP)
|
100% |
156
12.4 IPS |
|
|
Object Detection (Q)
|
58% |
252
27.6 IPS |
|
|
Face Detection (SP)
|
100% |
787
9.35 IPS |
|
|
Face Detection (HP)
|
100% |
355
4.22 IPS |
|
|
Face Detection (Q)
|
96% |
901
10.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
889
6.85 IPS |
|
|
Depth Estimation (HP)
|
99% |
444
3.42 IPS |
|
|
Depth Estimation (Q)
|
78% |
906
7.23 IPS |
|
|
Style Transfer (SP)
|
100% |
1752
2.25 IPS |
|
|
Style Transfer (HP)
|
100% |
1352
1.74 IPS |
|
|
Style Transfer (Q)
|
87% |
1801
2.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
376
13.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
316
11.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
404
15.0 IPS |
|
|
Text Classification (SP)
|
100% |
328
437.2 IPS |
|
|
Text Classification (HP)
|
100% |
199
266.1 IPS |
|
|
Text Classification (Q)
|
97% |
171
229.7 IPS |
|
|
Machine Translation (SP)
|
100% |
462
7.97 IPS |
|
|
Machine Translation (HP)
|
100% |
201
3.46 IPS |
|
|
Machine Translation (Q)
|
68% |
464
8.97 IPS |
