| User | gethen | 
| Upload Date | August 03 2025 02:43 PM | 
| Views | 11 | 
| AI Information | |
|---|---|
| Framework | ONNX | 
| Backend | CPU | 
| Device | Intel(R) Core(TM) Ultra 7 265K | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) | 
| Model | Micro-Star International Co., Ltd. MS-7E42 | 
| Motherboard | Micro-Star International Co., Ltd. B860M GAMING PLUS WIFI (MS-7E42) | 
| Power Plan | Balanced | 
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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% | 
4983
 926.7 IPS  | 
|
| 
Image Classification (HP)
 | 
100% | 
817
 152.0 IPS  | 
|
| 
Image Classification (Q)
 | 
99% | 
9845
 1.84 KIPS  | 
|
| 
Image Segmentation (SP)
 | 
100% | 
2548
 41.3 IPS  | 
|
| 
Image Segmentation (HP)
 | 
100% | 
1540
 25.0 IPS  | 
|
| 
Image Segmentation (Q)
 | 
98% | 
4425
 72.0 IPS  | 
|
| 
Pose Estimation (SP)
 | 
100% | 
14255
 16.6 IPS  | 
|
| 
Pose Estimation (HP)
 | 
100% | 
7903
 9.22 IPS  | 
|
| 
Pose Estimation (Q)
 | 
94% | 
48115
 56.4 IPS  | 
|
| 
Object Detection (SP)
 | 
100% | 
4543
 360.3 IPS  | 
|
| 
Object Detection (HP)
 | 
100% | 
866
 68.7 IPS  | 
|
| 
Object Detection (Q)
 | 
86% | 
11612
 933.2 IPS  | 
|
| 
Face Detection (SP)
 | 
100% | 
13218
 157.1 IPS  | 
|
| 
Face Detection (HP)
 | 
100% | 
2604
 30.9 IPS  | 
|
| 
Face Detection (Q)
 | 
97% | 
13769
 164.2 IPS  | 
|
| 
Depth Estimation (SP)
 | 
100% | 
15785
 121.6 IPS  | 
|
| 
Depth Estimation (HP)
 | 
99% | 
2906
 22.4 IPS  | 
|
| 
Depth Estimation (Q)
 | 
78% | 
23524
 187.7 IPS  | 
|
| 
Style Transfer (SP)
 | 
100% | 
30212
 38.8 IPS  | 
|
| 
Style Transfer (HP)
 | 
100% | 
20814
 26.8 IPS  | 
|
| 
Style Transfer (Q)
 | 
98% | 
32970
 42.5 IPS  | 
|
| 
Image Super-Resolution (SP)
 | 
100% | 
5037
 186.0 IPS  | 
|
| 
Image Super-Resolution (HP)
 | 
100% | 
3377
 124.7 IPS  | 
|
| 
Image Super-Resolution (Q)
 | 
99% | 
6825
 252.7 IPS  | 
|
| 
Text Classification (SP)
 | 
100% | 
2080
 2.78 KIPS  | 
|
| 
Text Classification (HP)
 | 
100% | 
1012
 1.35 KIPS  | 
|
| 
Text Classification (Q)
 | 
97% | 
1904
 2.55 KIPS  | 
|
| 
Machine Translation (SP)
 | 
100% | 
3184
 54.8 IPS  | 
|
| 
Machine Translation (HP)
 | 
100% | 
1128
 19.4 IPS  | 
|
| 
Machine Translation (Q)
 | 
65% | 
4900
 98.5 IPS  |