| User | svswe |
| Upload Date | December 10 2025 05:13 PM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z890-F GAMING WIFI |
| Power Plan | Balanserat |
| 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% |
5166
960.7 IPS |
|
|
Image Classification (HP)
|
100% |
864
160.6 IPS |
|
|
Image Classification (Q)
|
99% |
9693
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2840
46.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1536
24.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
15678
254.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12697
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
6289
7.34 IPS |
|
|
Pose Estimation (Q)
|
94% |
39069
45.8 IPS |
|
|
Object Detection (SP)
|
100% |
4814
381.8 IPS |
|
|
Object Detection (HP)
|
100% |
1016
80.6 IPS |
|
|
Object Detection (Q)
|
86% |
10928
878.2 IPS |
|
|
Face Detection (SP)
|
100% |
13852
164.6 IPS |
|
|
Face Detection (HP)
|
100% |
2396
28.5 IPS |
|
|
Face Detection (Q)
|
97% |
13139
156.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
14105
108.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2710
20.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
22801
181.9 IPS |
|
|
Style Transfer (SP)
|
100% |
27563
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
17751
22.8 IPS |
|
|
Style Transfer (Q)
|
98% |
27262
35.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3837
141.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3139
115.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6839
253.2 IPS |
|
|
Text Classification (SP)
|
100% |
1913
2.55 KIPS |
|
|
Text Classification (HP)
|
100% |
1061
1.42 KIPS |
|
|
Text Classification (Q)
|
97% |
1605
2.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3075
53.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1293
22.3 IPS |
|
|
Machine Translation (Q)
|
65% |
4189
84.2 IPS |