| Upload Date | December 09 2025 12:44 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900KS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z790 UD AX |
| Motherboard | Gigabyte Technology Co., Ltd. Z790 UD AX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KS |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4790
890.9 IPS |
|
|
Image Classification (HP)
|
100% |
615
114.3 IPS |
|
|
Image Classification (Q)
|
99% |
7746
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2483
40.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1103
17.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4586
74.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11747
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
5057
5.90 IPS |
|
|
Pose Estimation (Q)
|
94% |
39304
46.1 IPS |
|
|
Object Detection (SP)
|
100% |
4469
354.4 IPS |
|
|
Object Detection (HP)
|
100% |
779
61.8 IPS |
|
|
Object Detection (Q)
|
86% |
8300
667.1 IPS |
|
|
Face Detection (SP)
|
100% |
12440
147.8 IPS |
|
|
Face Detection (HP)
|
100% |
1840
21.9 IPS |
|
|
Face Detection (Q)
|
97% |
12886
153.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13694
105.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2245
17.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
20498
163.6 IPS |
|
|
Style Transfer (SP)
|
100% |
26635
34.2 IPS |
|
|
Style Transfer (HP)
|
100% |
12566
16.2 IPS |
|
|
Style Transfer (Q)
|
98% |
31646
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4025
148.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2318
85.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6240
231.1 IPS |
|
|
Text Classification (SP)
|
100% |
1941
2.59 KIPS |
|
|
Text Classification (HP)
|
100% |
987
1.32 KIPS |
|
|
Text Classification (Q)
|
97% |
1944
2.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
2268
39.1 IPS |
|
|
Machine Translation (HP)
|
100% |
909
15.7 IPS |
|
|
Machine Translation (Q)
|
65% |
3857
77.5 IPS |