| Upload Date | February 22 2026 09:39 AM |
| Views | 14 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 265KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z890-P WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core 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% |
5434
1.01 KIPS |
|
|
Image Classification (HP)
|
100% |
845
157.2 IPS |
|
|
Image Classification (Q)
|
99% |
9052
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2804
45.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1315
21.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
15928
259.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13530
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
7893
9.21 IPS |
|
|
Pose Estimation (Q)
|
94% |
40261
47.2 IPS |
|
|
Object Detection (SP)
|
100% |
5091
403.8 IPS |
|
|
Object Detection (HP)
|
100% |
1090
86.4 IPS |
|
|
Object Detection (Q)
|
86% |
10859
872.7 IPS |
|
|
Face Detection (SP)
|
100% |
13904
165.2 IPS |
|
|
Face Detection (HP)
|
100% |
2284
27.1 IPS |
|
|
Face Detection (Q)
|
97% |
13156
156.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
14955
115.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2907
22.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
22386
178.6 IPS |
|
|
Style Transfer (SP)
|
100% |
31671
40.7 IPS |
|
|
Style Transfer (HP)
|
100% |
20883
26.8 IPS |
|
|
Style Transfer (Q)
|
98% |
25486
32.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5288
195.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3000
110.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7255
268.6 IPS |
|
|
Text Classification (SP)
|
100% |
1948
2.60 KIPS |
|
|
Text Classification (HP)
|
100% |
1010
1.35 KIPS |
|
|
Text Classification (Q)
|
97% |
1606
2.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3117
53.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1480
25.5 IPS |
|
|
Machine Translation (Q)
|
65% |
4507
90.6 IPS |