| User | nimblebits |
| Upload Date | December 12 2025 02:13 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-13600K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock Z790 PG Lightning |
| Motherboard | ASRock Z790 PG Lightning |
| 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 | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3452
642.0 IPS |
|
|
Image Classification (HP)
|
100% |
621
115.5 IPS |
|
|
Image Classification (Q)
|
99% |
6279
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1861
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1100
17.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
9225
150.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7087
8.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
4406
5.14 IPS |
|
|
Pose Estimation (Q)
|
94% |
23816
27.9 IPS |
|
|
Object Detection (SP)
|
100% |
3192
253.2 IPS |
|
|
Object Detection (HP)
|
100% |
842
66.8 IPS |
|
|
Object Detection (Q)
|
86% |
6723
540.3 IPS |
|
|
Face Detection (SP)
|
100% |
8995
106.9 IPS |
|
|
Face Detection (HP)
|
100% |
1822
21.6 IPS |
|
|
Face Detection (Q)
|
97% |
10668
127.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9401
72.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2187
16.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
15347
122.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16371
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
10525
13.5 IPS |
|
|
Style Transfer (Q)
|
98% |
23349
30.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3001
110.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2120
78.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6106
226.1 IPS |
|
|
Text Classification (SP)
|
100% |
1791
2.39 KIPS |
|
|
Text Classification (HP)
|
100% |
855
1.14 KIPS |
|
|
Text Classification (Q)
|
97% |
999
1.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1923
33.1 IPS |
|
|
Machine Translation (HP)
|
100% |
954
16.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3502
70.4 IPS |