| Upload Date | November 28 2025 06:17 AM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-11400F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro for Workstations (64-bit) |
| Model | Gigabyte Technology Co., Ltd. H470M K |
| Motherboard | Gigabyte Technology Co., Ltd. H470M K |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-11400F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2271
422.3 IPS |
|
|
Image Classification (HP)
|
100% |
496
92.3 IPS |
|
|
Image Classification (Q)
|
99% |
5533
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1168
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
637
10.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3806
61.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3987
4.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
3337
3.89 IPS |
|
|
Pose Estimation (Q)
|
94% |
12678
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
2008
159.2 IPS |
|
|
Object Detection (HP)
|
100% |
542
43.0 IPS |
|
|
Object Detection (Q)
|
86% |
4333
348.2 IPS |
|
|
Face Detection (SP)
|
100% |
2510
29.8 IPS |
|
|
Face Detection (HP)
|
100% |
1129
13.4 IPS |
|
|
Face Detection (Q)
|
97% |
4822
57.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3599
27.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1401
10.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
9334
74.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6776
8.71 IPS |
|
|
Style Transfer (HP)
|
100% |
5500
7.07 IPS |
|
|
Style Transfer (Q)
|
98% |
12059
15.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1431
52.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1248
46.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4185
155.0 IPS |
|
|
Text Classification (SP)
|
100% |
1330
1.77 KIPS |
|
|
Text Classification (HP)
|
100% |
840
1.12 KIPS |
|
|
Text Classification (Q)
|
97% |
486
650.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1482
25.5 IPS |
|
|
Machine Translation (HP)
|
100% |
634
10.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2000
40.2 IPS |