| User | Mark52 |
| Upload Date | April 07 2026 07:10 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Dash F15 FX517ZC_FX517ZC |
| Motherboard | ASUSTeK COMPUTER INC. FX517ZC |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12450H |
| Topology | 1 Processor, 8 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
772
143.6 IPS |
|
|
Image Classification (HP)
|
100% |
786
146.1 IPS |
|
|
Image Classification (Q)
|
100% |
668
124.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1109
18.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1251
20.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
830
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5702
6.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
6358
7.42 IPS |
|
|
Pose Estimation (Q)
|
96% |
3550
4.16 IPS |
|
|
Object Detection (SP)
|
100% |
872
69.2 IPS |
|
|
Object Detection (HP)
|
98% |
759
60.4 IPS |
|
|
Object Detection (Q)
|
86% |
728
58.6 IPS |
|
|
Face Detection (SP)
|
100% |
1814
21.5 IPS |
|
|
Face Detection (HP)
|
100% |
1974
23.5 IPS |
|
|
Face Detection (Q)
|
97% |
1327
15.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3302
25.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
3712
28.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
2419
19.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12041
15.5 IPS |
|
|
Style Transfer (HP)
|
100% |
16272
20.9 IPS |
|
|
Style Transfer (Q)
|
98% |
8559
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1985
73.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2591
95.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
953
35.3 IPS |
|
|
Text Classification (SP)
|
100% |
671
895.3 IPS |
|
|
Text Classification (HP)
|
100% |
342
456.5 IPS |
|
|
Text Classification (Q)
|
97% |
359
481.2 IPS |
|
|
Machine Translation (SP)
|
100% |
746
12.8 IPS |
|
|
Machine Translation (HP)
|
100% |
691
11.9 IPS |
|
|
Machine Translation (Q)
|
70% |
381
7.14 IPS |