Upload Date | September 19 2025 06:24 PM |
Views | 5 |
AI Information | |
---|---|
Framework | ONNX |
Backend | CPU |
Device | Intel Core i5-11600K |
System Information | |
---|---|
Operating System | Windows 10 Pro (64-bit) |
Model | Gigabyte Technology Co., Ltd. Z590 AORUS PRO AX |
Motherboard | Gigabyte Technology Co., Ltd. Z590 AORUS PRO AX |
CPU Information | |
---|---|
Name | Intel Core i5-11600K |
Topology | 1 Processor, 6 Cores, 12 Threads |
Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
Base Frequency | 3.91 GHz |
Cluster 1 | 6 Cores |
Memory Information | |
---|---|
Size | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
2822
524.8 IPS |
|
Image Classification (HP)
|
100% |
564
104.9 IPS |
|
Image Classification (Q)
|
99% |
6721
1.25 KIPS |
|
Image Segmentation (SP)
|
100% |
1561
25.3 IPS |
|
Image Segmentation (HP)
|
100% |
859
13.9 IPS |
|
Image Segmentation (Q)
|
98% |
4470
72.7 IPS |
|
Pose Estimation (SP)
|
100% |
5586
6.52 IPS |
|
Pose Estimation (HP)
|
100% |
4376
5.11 IPS |
|
Pose Estimation (Q)
|
94% |
19891
23.3 IPS |
|
Object Detection (SP)
|
100% |
2746
217.8 IPS |
|
Object Detection (HP)
|
100% |
736
58.4 IPS |
|
Object Detection (Q)
|
86% |
5470
439.6 IPS |
|
Face Detection (SP)
|
100% |
3861
45.9 IPS |
|
Face Detection (HP)
|
100% |
1478
17.6 IPS |
|
Face Detection (Q)
|
97% |
8164
97.3 IPS |
|
Depth Estimation (SP)
|
100% |
7557
58.2 IPS |
|
Depth Estimation (HP)
|
99% |
2210
17.0 IPS |
|
Depth Estimation (Q)
|
78% |
14747
117.7 IPS |
|
Style Transfer (SP)
|
100% |
13846
17.8 IPS |
|
Style Transfer (HP)
|
100% |
10935
14.1 IPS |
|
Style Transfer (Q)
|
98% |
19667
25.4 IPS |
|
Image Super-Resolution (SP)
|
100% |
2568
94.8 IPS |
|
Image Super-Resolution (HP)
|
100% |
2268
83.7 IPS |
|
Image Super-Resolution (Q)
|
99% |
6187
229.1 IPS |
|
Text Classification (SP)
|
100% |
1932
2.58 KIPS |
|
Text Classification (HP)
|
100% |
976
1.30 KIPS |
|
Text Classification (Q)
|
97% |
582
780.3 IPS |
|
Machine Translation (SP)
|
100% |
2148
37.0 IPS |
|
Machine Translation (HP)
|
100% |
842
14.5 IPS |
|
Machine Translation (Q)
|
65% |
2737
55.0 IPS |