Acer Aspire E5-571G
Geekbench AI Score
648
Single Precision Score
382
Half Precision Score
681
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 18 2026 11:41 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-4510U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Famille (64-bit) |
| Model | Acer Aspire E5-571G |
| Motherboard | Acer EA50_HB |
| Power Plan | Atlas Power Scheme |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4510U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 69 Stepping 1 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
457
85.0 IPS |
|
|
Image Classification (HP)
|
100% |
181
33.7 IPS |
|
|
Image Classification (Q)
|
96% |
521
97.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
317
5.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
250
4.05 IPS |
|
|
Image Segmentation (Q)
|
97% |
400
6.51 IPS |
|
|
Pose Estimation (SP)
|
100% |
817
0.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
670
0.78 IPS |
|
|
Pose Estimation (Q)
|
86% |
1027
1.21 IPS |
|
|
Object Detection (SP)
|
100% |
403
31.9 IPS |
|
|
Object Detection (HP)
|
100% |
205
16.3 IPS |
|
|
Object Detection (Q)
|
58% |
349
38.2 IPS |
|
|
Face Detection (SP)
|
100% |
1022
12.1 IPS |
|
|
Face Detection (HP)
|
100% |
465
5.53 IPS |
|
|
Face Detection (Q)
|
96% |
1246
14.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1066
8.21 IPS |
|
|
Depth Estimation (HP)
|
99% |
528
4.06 IPS |
|
|
Depth Estimation (Q)
|
78% |
1259
10.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2162
2.78 IPS |
|
|
Style Transfer (HP)
|
100% |
1578
2.03 IPS |
|
|
Style Transfer (Q)
|
87% |
2348
3.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
441
16.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
380
14.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
532
19.7 IPS |
|
|
Text Classification (SP)
|
100% |
437
583.3 IPS |
|
|
Text Classification (HP)
|
100% |
274
366.3 IPS |
|
|
Text Classification (Q)
|
97% |
234
312.9 IPS |
|
|
Machine Translation (SP)
|
100% |
606
10.4 IPS |
|
|
Machine Translation (HP)
|
100% |
265
4.56 IPS |
|
|
Machine Translation (Q)
|
68% |
627
12.1 IPS |
