| User | NATA |
| Upload Date | February 21 2025 01:52 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-14600KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z690 HERO EVA |
| Power Plan | Bilanciato |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600KF |
| 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% |
3877
721.0 IPS |
|
|
Image Classification (HP)
|
100% |
3899
725.0 IPS |
|
|
Image Classification (Q)
|
100% |
8587
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4960
80.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4941
80.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8840
143.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7722
9.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
7718
9.01 IPS |
|
|
Pose Estimation (Q)
|
96% |
28325
33.2 IPS |
|
|
Object Detection (SP)
|
100% |
3727
295.7 IPS |
|
|
Object Detection (HP)
|
100% |
3712
294.4 IPS |
|
|
Object Detection (Q)
|
88% |
9204
737.8 IPS |
|
|
Face Detection (SP)
|
100% |
11300
134.3 IPS |
|
|
Face Detection (HP)
|
100% |
11286
134.1 IPS |
|
|
Face Detection (Q)
|
100% |
22352
265.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10027
77.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
10000
77.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
24482
190.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13448
17.3 IPS |
|
|
Style Transfer (HP)
|
100% |
12612
16.2 IPS |
|
|
Style Transfer (Q)
|
98% |
77956
100.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4854
179.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4910
181.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15092
558.9 IPS |
|
|
Text Classification (SP)
|
100% |
3618
4.83 KIPS |
|
|
Text Classification (HP)
|
100% |
3615
4.83 KIPS |
|
|
Text Classification (Q)
|
92% |
5667
7.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
5317
91.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5298
91.3 IPS |
|
|
Machine Translation (Q)
|
100% |
5181
89.3 IPS |