| Upload Date | December 09 2025 01:46 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-13600KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B760-PLUS |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600KF |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3511
652.9 IPS |
|
|
Image Classification (HP)
|
100% |
592
110.1 IPS |
|
|
Image Classification (Q)
|
99% |
6436
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1915
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1061
17.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
9781
159.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7392
8.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
4585
5.35 IPS |
|
|
Pose Estimation (Q)
|
94% |
21795
25.6 IPS |
|
|
Object Detection (SP)
|
100% |
3058
242.6 IPS |
|
|
Object Detection (HP)
|
100% |
805
63.8 IPS |
|
|
Object Detection (Q)
|
86% |
6390
513.6 IPS |
|
|
Face Detection (SP)
|
100% |
8618
102.4 IPS |
|
|
Face Detection (HP)
|
100% |
1776
21.1 IPS |
|
|
Face Detection (Q)
|
97% |
9228
110.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8439
65.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2367
18.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
15311
122.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16318
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
10960
14.1 IPS |
|
|
Style Transfer (Q)
|
98% |
24312
31.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2893
106.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2179
80.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5395
199.8 IPS |
|
|
Text Classification (SP)
|
100% |
1763
2.35 KIPS |
|
|
Text Classification (HP)
|
100% |
813
1.09 KIPS |
|
|
Text Classification (Q)
|
97% |
1582
2.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2001
34.5 IPS |
|
|
Machine Translation (HP)
|
100% |
928
16.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3106
62.4 IPS |