| Upload Date | August 31 2025 01:02 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D40 |
| Motherboard | Micro-Star International Co., Ltd. MPG B760I EDGE WIFI (MS-7D40) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700K |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4508
838.4 IPS |
|
|
Image Classification (HP)
|
100% |
665
123.7 IPS |
|
|
Image Classification (Q)
|
99% |
7478
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2334
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1196
19.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
12601
204.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10192
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
4975
5.80 IPS |
|
|
Pose Estimation (Q)
|
94% |
33917
39.8 IPS |
|
|
Object Detection (SP)
|
100% |
4147
329.0 IPS |
|
|
Object Detection (HP)
|
100% |
896
71.1 IPS |
|
|
Object Detection (Q)
|
86% |
7766
624.1 IPS |
|
|
Face Detection (SP)
|
100% |
12752
151.5 IPS |
|
|
Face Detection (HP)
|
100% |
2089
24.8 IPS |
|
|
Face Detection (Q)
|
97% |
11863
141.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12384
95.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2390
18.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
19574
156.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23960
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
12069
15.5 IPS |
|
|
Style Transfer (Q)
|
98% |
30240
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3736
138.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2243
82.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6735
249.4 IPS |
|
|
Text Classification (SP)
|
100% |
1863
2.49 KIPS |
|
|
Text Classification (HP)
|
100% |
805
1.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1626
2.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2438
42.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1049
18.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3728
74.9 IPS |