| Upload Date | September 25 2025 01:28 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i5-13600KF |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B660-G GAMING WIFI |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600KF |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3511
652.9 IPS |
|
|
Image Classification (HP)
|
100% |
3507
652.1 IPS |
|
|
Image Classification (Q)
|
100% |
7893
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4412
71.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4439
72.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
8225
133.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6678
7.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
6682
7.80 IPS |
|
|
Pose Estimation (Q)
|
96% |
24604
28.8 IPS |
|
|
Object Detection (SP)
|
100% |
3311
262.6 IPS |
|
|
Object Detection (HP)
|
100% |
3355
266.1 IPS |
|
|
Object Detection (Q)
|
88% |
8338
668.4 IPS |
|
|
Face Detection (SP)
|
100% |
9687
115.1 IPS |
|
|
Face Detection (HP)
|
100% |
9690
115.1 IPS |
|
|
Face Detection (Q)
|
100% |
18845
223.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8520
65.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
8472
65.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
21004
163.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19912
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19882
25.6 IPS |
|
|
Style Transfer (Q)
|
98% |
67417
86.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4228
156.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4229
156.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13084
484.5 IPS |
|
|
Text Classification (SP)
|
100% |
3218
4.30 KIPS |
|
|
Text Classification (HP)
|
100% |
3208
4.28 KIPS |
|
|
Text Classification (Q)
|
92% |
5107
6.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
5060
87.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5060
87.2 IPS |
|
|
Machine Translation (Q)
|
100% |
5013
86.3 IPS |