| Upload Date | March 13 2026 06:42 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 265KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E20 |
| Motherboard | Micro-Star International Co., Ltd. MEG Z890 UNIFY-X (MS-7E20) |
| Power Plan | Hchstleistung |
| 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 | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6239
1.16 KIPS |
|
|
Image Classification (HP)
|
100% |
971
180.6 IPS |
|
|
Image Classification (Q)
|
99% |
10822
2.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2848
46.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1815
29.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
18677
303.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15698
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
9401
11.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
53296
62.5 IPS |
|
|
Object Detection (SP)
|
100% |
6163
488.8 IPS |
|
|
Object Detection (HP)
|
100% |
1295
102.7 IPS |
|
|
Object Detection (Q)
|
86% |
13123
1.05 KIPS |
|
|
Face Detection (SP)
|
100% |
17665
209.9 IPS |
|
|
Face Detection (HP)
|
100% |
3028
36.0 IPS |
|
|
Face Detection (Q)
|
97% |
14749
175.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
18514
142.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4044
31.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
30488
243.3 IPS |
|
|
Style Transfer (SP)
|
100% |
35808
46.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23368
30.0 IPS |
|
|
Style Transfer (Q)
|
98% |
43674
56.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5568
205.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4116
152.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7451
275.9 IPS |
|
|
Text Classification (SP)
|
100% |
2097
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
1132
1.51 KIPS |
|
|
Text Classification (Q)
|
97% |
1825
2.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3430
59.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1640
28.2 IPS |
|
|
Machine Translation (Q)
|
65% |
4966
99.8 IPS |