| User | kilio-silver |
| Upload Date | October 04 2025 11:39 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-14700KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B760M-PLUS WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700KF |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4021
747.7 IPS |
|
|
Image Classification (HP)
|
100% |
3130
582.1 IPS |
|
|
Image Classification (Q)
|
100% |
9086
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3840
62.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3731
60.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7630
123.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8277
9.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
8346
9.74 IPS |
|
|
Pose Estimation (Q)
|
96% |
30055
35.2 IPS |
|
|
Object Detection (SP)
|
100% |
3691
292.8 IPS |
|
|
Object Detection (HP)
|
100% |
3641
288.8 IPS |
|
|
Object Detection (Q)
|
88% |
9480
759.9 IPS |
|
|
Face Detection (SP)
|
100% |
11518
136.9 IPS |
|
|
Face Detection (HP)
|
100% |
11280
134.0 IPS |
|
|
Face Detection (Q)
|
100% |
21797
259.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9908
76.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
10000
77.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
24585
191.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24565
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
18582
23.9 IPS |
|
|
Style Transfer (Q)
|
98% |
78338
101.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3741
138.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5208
192.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15521
574.8 IPS |
|
|
Text Classification (SP)
|
100% |
3807
5.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3727
4.97 KIPS |
|
|
Text Classification (Q)
|
92% |
5376
7.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
5051
87.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4968
85.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4910
84.6 IPS |