| Upload Date | May 27 2025 06:29 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-14700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 IoT Enterprise LTSC (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt B760-CREATOR WIFI |
| Power Plan | Ultimative Leistung |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700K |
| 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% |
1423
264.6 IPS |
|
|
Image Classification (HP)
|
100% |
724
134.6 IPS |
|
|
Image Classification (Q)
|
100% |
1760
327.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2943
47.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6146
99.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1615
26.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9273
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
9377
10.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
11407
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1256
99.6 IPS |
|
|
Object Detection (HP)
|
100% |
695
55.1 IPS |
|
|
Object Detection (Q)
|
88% |
1822
146.0 IPS |
|
|
Face Detection (SP)
|
100% |
6641
78.9 IPS |
|
|
Face Detection (HP)
|
100% |
2609
31.0 IPS |
|
|
Face Detection (Q)
|
100% |
26301
312.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5231
40.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1764
13.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
13846
107.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12193
15.7 IPS |
|
|
Style Transfer (HP)
|
100% |
13790
17.7 IPS |
|
|
Style Transfer (Q)
|
98% |
25174
32.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5920
218.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5834
215.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8589
318.1 IPS |
|
|
Text Classification (SP)
|
100% |
892
1.19 KIPS |
|
|
Text Classification (HP)
|
100% |
893
1.19 KIPS |
|
|
Text Classification (Q)
|
92% |
1967
2.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
4326
74.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2773
47.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4043
69.6 IPS |