| Upload Date | December 03 2025 02:03 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z790 AORUS ELITE DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. Z790 AORUS ELITE DDR4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4542
844.7 IPS |
|
|
Image Classification (HP)
|
100% |
595
110.7 IPS |
|
|
Image Classification (Q)
|
99% |
7548
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2006
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1035
16.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
12011
195.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10281
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
4939
5.76 IPS |
|
|
Pose Estimation (Q)
|
94% |
32177
37.7 IPS |
|
|
Object Detection (SP)
|
100% |
3505
278.0 IPS |
|
|
Object Detection (HP)
|
100% |
740
58.7 IPS |
|
|
Object Detection (Q)
|
86% |
7729
621.2 IPS |
|
|
Face Detection (SP)
|
100% |
10039
119.3 IPS |
|
|
Face Detection (HP)
|
100% |
1758
20.9 IPS |
|
|
Face Detection (Q)
|
97% |
11186
133.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11436
88.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2158
16.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
15931
127.1 IPS |
|
|
Style Transfer (SP)
|
100% |
23277
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
12346
15.9 IPS |
|
|
Style Transfer (Q)
|
98% |
18869
24.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3883
143.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2318
85.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6401
237.0 IPS |
|
|
Text Classification (SP)
|
100% |
1736
2.32 KIPS |
|
|
Text Classification (HP)
|
100% |
897
1.20 KIPS |
|
|
Text Classification (Q)
|
97% |
1502
2.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2207
38.0 IPS |
|
|
Machine Translation (HP)
|
100% |
949
16.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3347
67.3 IPS |