| Upload Date | March 01 2026 08:22 PM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 265K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z890M-PLUS WIFI |
| Power Plan | Prestazioni elevate |
| 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% |
4722
878.1 IPS |
|
|
Image Classification (HP)
|
100% |
722
134.2 IPS |
|
|
Image Classification (Q)
|
99% |
9355
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2458
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1589
25.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
15285
248.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13944
16.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
7905
9.22 IPS |
|
|
Pose Estimation (Q)
|
94% |
42159
49.4 IPS |
|
|
Object Detection (SP)
|
100% |
4581
363.3 IPS |
|
|
Object Detection (HP)
|
100% |
921
73.0 IPS |
|
|
Object Detection (Q)
|
86% |
10872
873.8 IPS |
|
|
Face Detection (SP)
|
100% |
12918
153.5 IPS |
|
|
Face Detection (HP)
|
100% |
2349
27.9 IPS |
|
|
Face Detection (Q)
|
97% |
13386
159.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
15488
119.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2909
22.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
23025
183.7 IPS |
|
|
Style Transfer (SP)
|
100% |
30844
39.7 IPS |
|
|
Style Transfer (HP)
|
100% |
20569
26.4 IPS |
|
|
Style Transfer (Q)
|
98% |
28062
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4848
179.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3311
122.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6848
253.6 IPS |
|
|
Text Classification (SP)
|
100% |
1917
2.56 KIPS |
|
|
Text Classification (HP)
|
100% |
1030
1.37 KIPS |
|
|
Text Classification (Q)
|
97% |
1623
2.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
2962
51.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1397
24.1 IPS |
|
|
Machine Translation (Q)
|
65% |
4264
85.7 IPS |