| User | 7low |
| Upload Date | December 28 2025 02:17 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z790 AORUS ELITE X WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. Z790 AORUS ELITE X WIFI7 |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5339
993.0 IPS |
|
|
Image Classification (HP)
|
100% |
679
126.3 IPS |
|
|
Image Classification (Q)
|
99% |
8120
1.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2554
41.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1225
19.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
14261
231.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12407
14.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
5378
6.28 IPS |
|
|
Pose Estimation (Q)
|
94% |
38018
44.6 IPS |
|
|
Object Detection (SP)
|
100% |
4902
388.9 IPS |
|
|
Object Detection (HP)
|
100% |
910
72.2 IPS |
|
|
Object Detection (Q)
|
86% |
9017
724.7 IPS |
|
|
Face Detection (SP)
|
100% |
15175
180.3 IPS |
|
|
Face Detection (HP)
|
100% |
2044
24.3 IPS |
|
|
Face Detection (Q)
|
97% |
13754
164.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
14518
111.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2572
19.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
21108
168.4 IPS |
|
|
Style Transfer (SP)
|
100% |
28010
36.0 IPS |
|
|
Style Transfer (HP)
|
100% |
13178
16.9 IPS |
|
|
Style Transfer (Q)
|
98% |
31595
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4288
158.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2445
90.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7185
266.1 IPS |
|
|
Text Classification (SP)
|
100% |
1820
2.43 KIPS |
|
|
Text Classification (HP)
|
100% |
890
1.19 KIPS |
|
|
Text Classification (Q)
|
97% |
1728
2.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2564
44.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1163
20.0 IPS |
|
|
Machine Translation (Q)
|
65% |
4051
81.4 IPS |