| User | Warblood |
| Upload Date | November 17 2025 05:28 AM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING Z890-PLUS 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5975
1.11 KIPS |
|
|
Image Classification (HP)
|
100% |
930
172.9 IPS |
|
|
Image Classification (Q)
|
99% |
10642
1.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2729
44.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1769
28.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
18111
294.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15074
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
8833
10.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
50228
58.9 IPS |
|
|
Object Detection (SP)
|
100% |
5571
441.9 IPS |
|
|
Object Detection (HP)
|
100% |
1045
82.9 IPS |
|
|
Object Detection (Q)
|
86% |
12686
1.02 KIPS |
|
|
Face Detection (SP)
|
100% |
16684
198.2 IPS |
|
|
Face Detection (HP)
|
100% |
2594
30.8 IPS |
|
|
Face Detection (Q)
|
97% |
14379
171.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17773
136.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3915
30.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
28996
231.4 IPS |
|
|
Style Transfer (SP)
|
100% |
33542
43.1 IPS |
|
|
Style Transfer (HP)
|
100% |
22225
28.6 IPS |
|
|
Style Transfer (Q)
|
98% |
40178
51.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5184
191.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3302
121.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7850
290.7 IPS |
|
|
Text Classification (SP)
|
100% |
2117
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
1038
1.39 KIPS |
|
|
Text Classification (Q)
|
97% |
1767
2.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3412
58.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1576
27.2 IPS |
|
|
Machine Translation (Q)
|
65% |
4828
97.0 IPS |