| User | SaneWolf |
| Upload Date | June 17 2025 12:46 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z890M AORUS ELITE WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. Z890M AORUS ELITE WIFI7 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3624
673.9 IPS |
|
|
Image Classification (HP)
|
100% |
5197
966.6 IPS |
|
|
Image Classification (Q)
|
99% |
2817
525.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4653
75.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7992
129.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3137
51.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
12883
15.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
25565
29.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
11238
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
4049
321.1 IPS |
|
|
Object Detection (HP)
|
100% |
6598
523.4 IPS |
|
|
Object Detection (Q)
|
86% |
3056
245.7 IPS |
|
|
Face Detection (SP)
|
100% |
7902
93.9 IPS |
|
|
Face Detection (HP)
|
100% |
12892
153.2 IPS |
|
|
Face Detection (Q)
|
97% |
5132
61.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12692
97.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
23318
180.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
9514
76.2 IPS |
|
|
Style Transfer (SP)
|
100% |
40853
52.5 IPS |
|
|
Style Transfer (HP)
|
100% |
63653
81.8 IPS |
|
|
Style Transfer (Q)
|
98% |
30759
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7304
269.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11093
409.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4841
179.3 IPS |
|
|
Text Classification (SP)
|
100% |
1648
2.20 KIPS |
|
|
Text Classification (HP)
|
100% |
970
1.30 KIPS |
|
|
Text Classification (Q)
|
97% |
951
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2502
43.1 IPS |
|
|
Machine Translation (HP)
|
96% |
3021
52.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1243
23.3 IPS |