| Upload Date | January 06 2026 03:38 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 265K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E33 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z890I EDGE TI WIFI (MS-7E33) |
| Power Plan | Balanced |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5332
991.7 IPS |
|
|
Image Classification (HP)
|
100% |
725
134.8 IPS |
|
|
Image Classification (Q)
|
99% |
9477
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2453
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1601
26.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
16103
261.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
14342
16.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
8119
9.47 IPS |
|
|
Pose Estimation (Q)
|
94% |
46178
54.1 IPS |
|
|
Object Detection (SP)
|
100% |
4940
391.8 IPS |
|
|
Object Detection (HP)
|
100% |
1146
90.9 IPS |
|
|
Object Detection (Q)
|
86% |
11873
954.2 IPS |
|
|
Face Detection (SP)
|
100% |
14714
174.8 IPS |
|
|
Face Detection (HP)
|
100% |
2618
31.1 IPS |
|
|
Face Detection (Q)
|
97% |
13496
160.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
15671
120.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3611
27.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
24214
193.2 IPS |
|
|
Style Transfer (SP)
|
100% |
30065
38.6 IPS |
|
|
Style Transfer (HP)
|
100% |
21129
27.2 IPS |
|
|
Style Transfer (Q)
|
98% |
29287
37.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5143
189.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3646
134.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7129
264.0 IPS |
|
|
Text Classification (SP)
|
100% |
1956
2.61 KIPS |
|
|
Text Classification (HP)
|
100% |
958
1.28 KIPS |
|
|
Text Classification (Q)
|
97% |
1623
2.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3173
54.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1528
26.3 IPS |
|
|
Machine Translation (Q)
|
65% |
4581
92.1 IPS |