| User | rwaver |
| Upload Date | March 07 2026 01:07 AM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-8250U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. VivoBook S15 X530UF |
| Motherboard | ASUSTeK COMPUTER INC. X530UF |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8250U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1234
229.4 IPS |
|
|
Image Classification (HP)
|
100% |
264
49.2 IPS |
|
|
Image Classification (Q)
|
96% |
1659
309.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
701
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
439
7.11 IPS |
|
|
Image Segmentation (Q)
|
97% |
1959
31.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2463
2.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
1912
2.23 IPS |
|
|
Pose Estimation (Q)
|
86% |
3401
4.02 IPS |
|
|
Object Detection (SP)
|
100% |
1153
91.5 IPS |
|
|
Object Detection (HP)
|
100% |
321
25.4 IPS |
|
|
Object Detection (Q)
|
58% |
1183
129.2 IPS |
|
|
Face Detection (SP)
|
100% |
2280
27.1 IPS |
|
|
Face Detection (HP)
|
100% |
722
8.57 IPS |
|
|
Face Detection (Q)
|
96% |
3320
39.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2925
22.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
945
7.28 IPS |
|
|
Depth Estimation (Q)
|
78% |
4056
32.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5732
7.37 IPS |
|
|
Style Transfer (HP)
|
100% |
4304
5.53 IPS |
|
|
Style Transfer (Q)
|
87% |
7460
9.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1134
41.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
935
34.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1825
67.6 IPS |
|
|
Text Classification (SP)
|
100% |
929
1.24 KIPS |
|
|
Text Classification (HP)
|
100% |
503
670.9 IPS |
|
|
Text Classification (Q)
|
97% |
786
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1285
22.1 IPS |
|
|
Machine Translation (HP)
|
100% |
483
8.32 IPS |
|
|
Machine Translation (Q)
|
68% |
1336
25.8 IPS |