| User | fenom |
| Upload Date | December 12 2025 06:01 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock Z890M Riptide WiFi |
| Motherboard | ASRock Z890M Riptide WiFi |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2649
492.5 IPS |
|
|
Image Classification (HP)
|
100% |
3883
722.0 IPS |
|
|
Image Classification (Q)
|
99% |
1904
355.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3352
54.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5538
89.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2319
37.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8883
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
13851
16.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
7824
9.17 IPS |
|
|
Object Detection (SP)
|
100% |
2812
223.1 IPS |
|
|
Object Detection (HP)
|
100% |
4455
353.4 IPS |
|
|
Object Detection (Q)
|
86% |
2151
172.9 IPS |
|
|
Face Detection (SP)
|
100% |
5793
68.8 IPS |
|
|
Face Detection (HP)
|
100% |
9319
110.7 IPS |
|
|
Face Detection (Q)
|
97% |
3835
45.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10186
78.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
15684
121.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
7211
57.8 IPS |
|
|
Style Transfer (SP)
|
100% |
26997
34.7 IPS |
|
|
Style Transfer (HP)
|
100% |
41439
53.3 IPS |
|
|
Style Transfer (Q)
|
98% |
21084
27.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4739
175.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7172
264.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3274
121.2 IPS |
|
|
Text Classification (SP)
|
100% |
1305
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
990
1.32 KIPS |
|
|
Text Classification (Q)
|
97% |
725
970.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2536
43.7 IPS |
|
|
Machine Translation (HP)
|
96% |
2760
47.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1031
19.3 IPS |