| Upload Date | December 08 2025 07:27 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-12900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. MD35236 |
| Motherboard | Gigabyte Technology Co., Ltd. Z690 AORUS PRO |
| Power Plan | Zrwnowaony |
| 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% |
3151
586.0 IPS |
|
|
Image Classification (HP)
|
100% |
612
113.8 IPS |
|
|
Image Classification (Q)
|
99% |
6474
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1500
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1065
17.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
9837
160.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7874
9.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
4652
5.43 IPS |
|
|
Pose Estimation (Q)
|
94% |
26737
31.3 IPS |
|
|
Object Detection (SP)
|
100% |
3513
278.7 IPS |
|
|
Object Detection (HP)
|
100% |
824
65.4 IPS |
|
|
Object Detection (Q)
|
86% |
6467
519.7 IPS |
|
|
Face Detection (SP)
|
100% |
9433
112.1 IPS |
|
|
Face Detection (HP)
|
100% |
1801
21.4 IPS |
|
|
Face Detection (Q)
|
97% |
9987
119.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10229
78.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2411
18.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
16095
128.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18642
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
11275
14.5 IPS |
|
|
Style Transfer (Q)
|
98% |
22479
29.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3216
118.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2099
77.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5458
202.1 IPS |
|
|
Text Classification (SP)
|
100% |
1676
2.24 KIPS |
|
|
Text Classification (HP)
|
100% |
776
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
1409
1.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1859
32.0 IPS |
|
|
Machine Translation (HP)
|
100% |
765
13.2 IPS |
|
|
Machine Translation (Q)
|
65% |
2628
52.8 IPS |