| User | goingshmooth |
| Upload Date | August 28 2025 12:18 PM |
| Views | 19 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. VivoBook_ASUSLaptop X515EA_X515EA |
| Motherboard | ASUSTeK COMPUTER INC. X515EA |
| Power Plan | ASUS Recommended |
| CPU Information | |
|---|---|
| Name | Intel Core i3-1115G4 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1373
255.3 IPS |
|
|
Image Classification (HP)
|
100% |
2069
384.7 IPS |
|
|
Image Classification (Q)
|
99% |
2816
525.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1702
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3184
51.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4008
65.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4762
5.56 IPS |
|
|
Pose Estimation (HP)
|
99% |
3560
4.15 IPS |
|
|
Pose Estimation (Q)
|
97% |
14000
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
1326
105.2 IPS |
|
|
Object Detection (HP)
|
99% |
2064
163.7 IPS |
|
|
Object Detection (Q)
|
90% |
3305
264.3 IPS |
|
|
Face Detection (SP)
|
100% |
2783
33.1 IPS |
|
|
Face Detection (HP)
|
100% |
5490
65.2 IPS |
|
|
Face Detection (Q)
|
100% |
8911
105.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4733
36.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
8125
62.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
11095
86.3 IPS |
|
|
Style Transfer (SP)
|
100% |
11580
14.9 IPS |
|
|
Style Transfer (HP)
|
100% |
17494
22.5 IPS |
|
|
Style Transfer (Q)
|
98% |
30622
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1959
72.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3172
117.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6135
227.2 IPS |
|
|
Text Classification (SP)
|
71% |
810
1.17 KIPS |
|
|
Text Classification (HP)
|
71% |
940
1.36 KIPS |
|
|
Text Classification (Q)
|
92% |
958
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
770
13.3 IPS |
|
|
Machine Translation (HP)
|
98% |
1464
25.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1487
25.7 IPS |