| Upload Date | January 19 2026 07:12 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | EVGA Corp. Z690 DARK KINGPIN |
| Motherboard | EVGA Corp. Z690 DARK KINGPIN |
| Power Plan | Vysok vkon |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5583
1.04 KIPS |
|
|
Image Classification (HP)
|
100% |
741
137.8 IPS |
|
|
Image Classification (Q)
|
99% |
7868
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2633
42.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1548
25.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
10683
173.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13360
15.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
5448
6.36 IPS |
|
|
Pose Estimation (Q)
|
94% |
38361
45.0 IPS |
|
|
Object Detection (SP)
|
100% |
5385
427.1 IPS |
|
|
Object Detection (HP)
|
100% |
1056
83.7 IPS |
|
|
Object Detection (Q)
|
86% |
8346
670.7 IPS |
|
|
Face Detection (SP)
|
100% |
15081
179.2 IPS |
|
|
Face Detection (HP)
|
100% |
2377
28.2 IPS |
|
|
Face Detection (Q)
|
97% |
13291
158.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
15119
116.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2940
22.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
23987
191.4 IPS |
|
|
Style Transfer (SP)
|
100% |
30690
39.5 IPS |
|
|
Style Transfer (HP)
|
100% |
13279
17.1 IPS |
|
|
Style Transfer (Q)
|
98% |
38352
49.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5009
184.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2657
98.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6801
251.8 IPS |
|
|
Text Classification (SP)
|
100% |
1956
2.61 KIPS |
|
|
Text Classification (HP)
|
100% |
1014
1.35 KIPS |
|
|
Text Classification (Q)
|
97% |
695
931.7 IPS |
|
|
Machine Translation (SP)
|
100% |
3146
54.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1273
21.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3762
75.6 IPS |