| Upload Date | November 20 2025 07:55 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E06 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z790-P WIFI (MS-7E06) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700K |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4459
829.2 IPS |
|
|
Image Classification (HP)
|
100% |
643
119.5 IPS |
|
|
Image Classification (Q)
|
99% |
7319
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2216
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1218
19.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4424
71.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10488
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
4837
5.64 IPS |
|
|
Pose Estimation (Q)
|
94% |
35033
41.1 IPS |
|
|
Object Detection (SP)
|
100% |
4117
326.6 IPS |
|
|
Object Detection (HP)
|
100% |
792
62.8 IPS |
|
|
Object Detection (Q)
|
86% |
7961
639.9 IPS |
|
|
Face Detection (SP)
|
100% |
11350
134.9 IPS |
|
|
Face Detection (HP)
|
100% |
2135
25.4 IPS |
|
|
Face Detection (Q)
|
97% |
11903
141.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12721
98.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2240
17.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
19389
154.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24596
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
11902
15.3 IPS |
|
|
Style Transfer (Q)
|
98% |
28167
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4072
150.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2287
84.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5743
212.7 IPS |
|
|
Text Classification (SP)
|
100% |
1924
2.57 KIPS |
|
|
Text Classification (HP)
|
100% |
898
1.20 KIPS |
|
|
Text Classification (Q)
|
97% |
1961
2.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
2384
41.1 IPS |
|
|
Machine Translation (HP)
|
100% |
933
16.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3785
76.1 IPS |