Acer Aspire E5-571
Geekbench AI Score
395
Single Precision Score
145
Half Precision Score
364
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Robi758 |
| Upload Date | August 18 2024 05:27 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-4005U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Acer Aspire E5-571 |
| Motherboard | Acer EA50_HB |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i3-4005U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 69 Stepping 1 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
216
40.1 IPS |
|
|
Image Classification (HP)
|
100% |
38
7.03 IPS |
|
|
Image Classification (Q)
|
97% |
245
45.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
222
3.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
58
0.93 IPS |
|
|
Image Segmentation (Q)
|
97% |
217
3.53 IPS |
|
|
Pose Estimation (SP)
|
100% |
540
0.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
432
0.50 IPS |
|
|
Pose Estimation (Q)
|
87% |
596
0.70 IPS |
|
|
Object Detection (SP)
|
100% |
227
18.0 IPS |
|
|
Object Detection (HP)
|
100% |
51
4.05 IPS |
|
|
Object Detection (Q)
|
86% |
205
16.5 IPS |
|
|
Face Detection (SP)
|
100% |
531
6.31 IPS |
|
|
Face Detection (HP)
|
100% |
83
0.99 IPS |
|
|
Face Detection (Q)
|
96% |
566
6.75 IPS |
|
|
Depth Estimation (SP)
|
100% |
680
5.24 IPS |
|
|
Depth Estimation (HP)
|
99% |
203
1.56 IPS |
|
|
Depth Estimation (Q)
|
76% |
583
4.70 IPS |
|
|
Style Transfer (SP)
|
100% |
1380
1.77 IPS |
|
|
Style Transfer (HP)
|
100% |
1048
1.35 IPS |
|
|
Style Transfer (Q)
|
87% |
1391
1.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
318
11.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
251
9.26 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
306
11.4 IPS |
|
|
Text Classification (SP)
|
100% |
272
362.8 IPS |
|
|
Text Classification (HP)
|
100% |
137
183.4 IPS |
|
|
Text Classification (Q)
|
97% |
136
182.3 IPS |
|
|
Machine Translation (SP)
|
100% |
365
6.28 IPS |
|
|
Machine Translation (HP)
|
100% |
146
2.51 IPS |
|
|
Machine Translation (Q)
|
60% |
332
7.41 IPS |
