| Upload Date | November 21 2025 02:20 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E07 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z790-A MAX WIFI (MS-7E07) |
| Power Plan | Balanced |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4905
912.2 IPS |
|
|
Image Classification (HP)
|
100% |
621
115.5 IPS |
|
|
Image Classification (Q)
|
99% |
7493
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2292
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1098
17.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
13551
220.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11491
13.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
5070
5.92 IPS |
|
|
Pose Estimation (Q)
|
94% |
34284
40.2 IPS |
|
|
Object Detection (SP)
|
100% |
4548
360.7 IPS |
|
|
Object Detection (HP)
|
100% |
822
65.2 IPS |
|
|
Object Detection (Q)
|
86% |
8107
651.5 IPS |
|
|
Face Detection (SP)
|
100% |
13933
165.6 IPS |
|
|
Face Detection (HP)
|
100% |
1820
21.6 IPS |
|
|
Face Detection (Q)
|
97% |
12222
145.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13559
104.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2379
18.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
18988
151.5 IPS |
|
|
Style Transfer (SP)
|
100% |
26186
33.7 IPS |
|
|
Style Transfer (HP)
|
100% |
12564
16.2 IPS |
|
|
Style Transfer (Q)
|
98% |
32996
42.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3856
142.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2261
83.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6408
237.3 IPS |
|
|
Text Classification (SP)
|
100% |
1685
2.25 KIPS |
|
|
Text Classification (HP)
|
100% |
821
1.10 KIPS |
|
|
Text Classification (Q)
|
97% |
1549
2.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
2349
40.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1025
17.7 IPS |
|
|
Machine Translation (Q)
|
65% |
3867
77.7 IPS |