| User | fenom |
| Upload Date | January 17 2026 12:45 AM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-11700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D07 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z590 GAMING EDGE WIFI (MS-7D07) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11700K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2959
550.4 IPS |
|
|
Image Classification (HP)
|
100% |
536
99.6 IPS |
|
|
Image Classification (Q)
|
99% |
7557
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1792
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
858
13.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
9049
147.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5902
6.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
4902
5.72 IPS |
|
|
Pose Estimation (Q)
|
94% |
22746
26.7 IPS |
|
|
Object Detection (SP)
|
100% |
2574
204.1 IPS |
|
|
Object Detection (HP)
|
100% |
697
55.3 IPS |
|
|
Object Detection (Q)
|
86% |
7379
593.0 IPS |
|
|
Face Detection (SP)
|
100% |
4224
50.2 IPS |
|
|
Face Detection (HP)
|
100% |
1404
16.7 IPS |
|
|
Face Detection (Q)
|
97% |
9219
109.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8817
67.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2175
16.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
16054
128.1 IPS |
|
|
Style Transfer (SP)
|
100% |
14579
18.7 IPS |
|
|
Style Transfer (HP)
|
100% |
12060
15.5 IPS |
|
|
Style Transfer (Q)
|
98% |
21254
27.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2530
93.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2306
85.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6382
236.3 IPS |
|
|
Text Classification (SP)
|
100% |
1913
2.55 KIPS |
|
|
Text Classification (HP)
|
100% |
1004
1.34 KIPS |
|
|
Text Classification (Q)
|
97% |
1580
2.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2130
36.7 IPS |
|
|
Machine Translation (HP)
|
100% |
839
14.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2971
59.7 IPS |