| User | dd88 |
| Upload Date | November 18 2025 02:20 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E34 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z890-P WIFI (MS-7E34) |
| 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 | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5470
1.02 KIPS |
|
|
Image Classification (HP)
|
100% |
728
135.3 IPS |
|
|
Image Classification (Q)
|
99% |
9562
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2536
41.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1665
27.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
16696
271.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14555
17.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
8408
9.81 IPS |
|
|
Pose Estimation (Q)
|
94% |
48832
57.3 IPS |
|
|
Object Detection (SP)
|
100% |
5228
414.7 IPS |
|
|
Object Detection (HP)
|
100% |
1188
94.2 IPS |
|
|
Object Detection (Q)
|
86% |
11995
964.0 IPS |
|
|
Face Detection (SP)
|
100% |
14987
178.1 IPS |
|
|
Face Detection (HP)
|
100% |
2660
31.6 IPS |
|
|
Face Detection (Q)
|
97% |
13714
163.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
16258
125.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3666
28.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
27000
215.4 IPS |
|
|
Style Transfer (SP)
|
100% |
30753
39.5 IPS |
|
|
Style Transfer (HP)
|
100% |
21315
27.4 IPS |
|
|
Style Transfer (Q)
|
98% |
33571
43.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5258
194.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3755
138.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7346
272.0 IPS |
|
|
Text Classification (SP)
|
100% |
1943
2.59 KIPS |
|
|
Text Classification (HP)
|
100% |
1054
1.41 KIPS |
|
|
Text Classification (Q)
|
97% |
1597
2.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3107
53.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1499
25.8 IPS |
|
|
Machine Translation (Q)
|
65% |
4708
94.6 IPS |