| Upload Date | February 07 2026 01:20 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i5-13600KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. EX-B660M-V5 PRO D4 |
| 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% |
3333
619.8 IPS |
|
|
Image Classification (HP)
|
100% |
3241
602.6 IPS |
|
|
Image Classification (Q)
|
100% |
7281
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3009
48.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2028
32.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3654
59.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6305
7.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
6344
7.40 IPS |
|
|
Pose Estimation (Q)
|
96% |
12108
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
2986
236.8 IPS |
|
|
Object Detection (HP)
|
100% |
1733
137.5 IPS |
|
|
Object Detection (Q)
|
88% |
7601
609.3 IPS |
|
|
Face Detection (SP)
|
100% |
5457
64.8 IPS |
|
|
Face Detection (HP)
|
100% |
5636
67.0 IPS |
|
|
Face Detection (Q)
|
100% |
3802
45.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4676
36.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8093
62.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
19941
155.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10857
14.0 IPS |
|
|
Style Transfer (HP)
|
100% |
11919
15.3 IPS |
|
|
Style Transfer (Q)
|
98% |
34391
44.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2318
85.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2004
74.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12473
461.9 IPS |
|
|
Text Classification (SP)
|
100% |
2256
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
2271
3.03 KIPS |
|
|
Text Classification (Q)
|
92% |
4485
6.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
4166
71.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4202
72.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3047
52.5 IPS |