| Upload Date | October 29 2025 03:30 PM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z890-P |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265KF |
| 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% |
5236
973.7 IPS |
|
|
Image Classification (HP)
|
100% |
863
160.5 IPS |
|
|
Image Classification (Q)
|
99% |
9074
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2814
45.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1575
25.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
15974
259.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13890
16.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
8091
9.44 IPS |
|
|
Pose Estimation (Q)
|
94% |
43195
50.6 IPS |
|
|
Object Detection (SP)
|
100% |
4522
358.7 IPS |
|
|
Object Detection (HP)
|
100% |
1143
90.7 IPS |
|
|
Object Detection (Q)
|
86% |
10723
861.8 IPS |
|
|
Face Detection (SP)
|
100% |
14054
167.0 IPS |
|
|
Face Detection (HP)
|
100% |
2444
29.0 IPS |
|
|
Face Detection (Q)
|
97% |
12930
154.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
15047
115.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3475
26.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
22760
181.6 IPS |
|
|
Style Transfer (SP)
|
100% |
31129
40.0 IPS |
|
|
Style Transfer (HP)
|
100% |
20133
25.9 IPS |
|
|
Style Transfer (Q)
|
98% |
25021
32.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5116
188.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3560
131.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7007
259.5 IPS |
|
|
Text Classification (SP)
|
100% |
1923
2.57 KIPS |
|
|
Text Classification (HP)
|
100% |
1022
1.36 KIPS |
|
|
Text Classification (Q)
|
97% |
1666
2.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
2931
50.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1419
24.4 IPS |
|
|
Machine Translation (Q)
|
65% |
4363
87.7 IPS |