| Upload Date | November 26 2025 07:13 PM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-12900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z690 AORUS PRO |
| Motherboard | Gigabyte Technology Co., Ltd. Z690 AORUS PRO |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900K |
| 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% |
3735
694.7 IPS |
|
|
Image Classification (HP)
|
100% |
645
119.9 IPS |
|
|
Image Classification (Q)
|
99% |
6538
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2003
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1140
18.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
10307
167.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7877
9.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
4550
5.31 IPS |
|
|
Pose Estimation (Q)
|
94% |
27446
32.2 IPS |
|
|
Object Detection (SP)
|
100% |
3246
257.5 IPS |
|
|
Object Detection (HP)
|
100% |
855
67.8 IPS |
|
|
Object Detection (Q)
|
86% |
6827
548.6 IPS |
|
|
Face Detection (SP)
|
100% |
7819
92.9 IPS |
|
|
Face Detection (HP)
|
100% |
1794
21.3 IPS |
|
|
Face Detection (Q)
|
97% |
10788
128.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9729
75.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2344
18.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
15661
125.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18203
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
11403
14.7 IPS |
|
|
Style Transfer (Q)
|
98% |
20609
26.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3371
124.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2179
80.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5757
213.2 IPS |
|
|
Text Classification (SP)
|
100% |
1840
2.46 KIPS |
|
|
Text Classification (HP)
|
100% |
876
1.17 KIPS |
|
|
Text Classification (Q)
|
97% |
1662
2.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1949
33.6 IPS |
|
|
Machine Translation (HP)
|
100% |
928
16.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3480
69.9 IPS |