| User | Creapure |
| Upload Date | April 21 2025 07:16 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i9-12900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 IoT Enterprise LTSC (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z690 APEX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900KF |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1125
209.2 IPS |
|
|
Image Classification (HP)
|
100% |
699
130.1 IPS |
|
|
Image Classification (Q)
|
100% |
1685
313.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1562
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
818
13.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1489
24.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8584
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
1197
1.40 IPS |
|
|
Pose Estimation (Q)
|
96% |
4978
5.83 IPS |
|
|
Object Detection (SP)
|
100% |
676
53.6 IPS |
|
|
Object Detection (HP)
|
100% |
1145
90.8 IPS |
|
|
Object Detection (Q)
|
88% |
1764
141.4 IPS |
|
|
Face Detection (SP)
|
100% |
2064
24.5 IPS |
|
|
Face Detection (HP)
|
100% |
2047
24.3 IPS |
|
|
Face Detection (Q)
|
100% |
3879
46.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1701
13.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1698
13.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
4436
34.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3582
4.60 IPS |
|
|
Style Transfer (HP)
|
100% |
3581
4.60 IPS |
|
|
Style Transfer (Q)
|
98% |
14523
18.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
769
28.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
769
28.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2591
96.0 IPS |
|
|
Text Classification (SP)
|
100% |
853
1.14 KIPS |
|
|
Text Classification (HP)
|
100% |
852
1.14 KIPS |
|
|
Text Classification (Q)
|
92% |
1794
2.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1567
27.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1565
27.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1555
26.8 IPS |