| User | gethen |
| Upload Date | September 05 2025 03:40 AM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASRock B860I WiFi |
| Motherboard | ASRock B860I WiFi |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 245KF |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8937
1.66 KIPS |
|
|
Image Classification (HP)
|
100% |
15811
2.94 KIPS |
|
|
Image Classification (Q)
|
100% |
8255
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17777
288.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
26935
436.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
16045
260.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
123641
144.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
392430
457.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
114920
134.6 IPS |
|
|
Object Detection (SP)
|
100% |
11224
890.3 IPS |
|
|
Object Detection (HP)
|
100% |
19788
1.57 KIPS |
|
|
Object Detection (Q)
|
83% |
9810
792.6 IPS |
|
|
Face Detection (SP)
|
100% |
30311
360.2 IPS |
|
|
Face Detection (HP)
|
100% |
48975
581.9 IPS |
|
|
Face Detection (Q)
|
97% |
26325
313.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
53877
415.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
111298
857.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
43968
350.9 IPS |
|
|
Style Transfer (SP)
|
100% |
175140
225.1 IPS |
|
|
Style Transfer (HP)
|
100% |
583631
750.3 IPS |
|
|
Style Transfer (Q)
|
98% |
148545
191.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33251
1.23 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
61498
2.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24980
925.0 IPS |
|
|
Text Classification (SP)
|
100% |
3482
4.65 KIPS |
|
|
Text Classification (HP)
|
100% |
4379
5.84 KIPS |
|
|
Text Classification (Q)
|
97% |
2113
2.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
5198
89.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5803
100.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2072
38.9 IPS |