| User | xyviolin |
| Upload Date | October 19 2025 05:32 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-13600K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z690 GAMING X DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. Z690 GAMING X DDR4 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.49 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2334
434.1 IPS |
|
|
Image Classification (HP)
|
100% |
556
103.4 IPS |
|
|
Image Classification (Q)
|
99% |
4958
924.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1662
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1072
17.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3521
57.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5577
6.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
3825
4.46 IPS |
|
|
Pose Estimation (Q)
|
94% |
19623
23.0 IPS |
|
|
Object Detection (SP)
|
100% |
2222
176.3 IPS |
|
|
Object Detection (HP)
|
100% |
684
54.3 IPS |
|
|
Object Detection (Q)
|
86% |
5191
417.2 IPS |
|
|
Face Detection (SP)
|
100% |
6116
72.7 IPS |
|
|
Face Detection (HP)
|
100% |
1279
15.2 IPS |
|
|
Face Detection (Q)
|
97% |
7114
84.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7246
55.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2170
16.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
12439
99.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14639
18.8 IPS |
|
|
Style Transfer (HP)
|
100% |
9856
12.7 IPS |
|
|
Style Transfer (Q)
|
98% |
19757
25.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2586
95.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1717
63.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3382
125.2 IPS |
|
|
Text Classification (SP)
|
100% |
1401
1.87 KIPS |
|
|
Text Classification (HP)
|
100% |
737
983.5 IPS |
|
|
Text Classification (Q)
|
97% |
1547
2.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
2323
40.0 IPS |
|
|
Machine Translation (HP)
|
100% |
824
14.2 IPS |
|
|
Machine Translation (Q)
|
65% |
2928
58.8 IPS |