| Upload Date | October 31 2025 11:07 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-14400F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E06 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z790-P WIFI (MS-7E06) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14400F |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2771
515.3 IPS |
|
|
Image Classification (HP)
|
100% |
531
98.7 IPS |
|
|
Image Classification (Q)
|
99% |
5261
981.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1484
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
963
15.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
7311
118.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5330
6.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
3985
4.65 IPS |
|
|
Pose Estimation (Q)
|
94% |
18422
21.6 IPS |
|
|
Object Detection (SP)
|
100% |
2472
196.1 IPS |
|
|
Object Detection (HP)
|
100% |
700
55.5 IPS |
|
|
Object Detection (Q)
|
86% |
5534
444.8 IPS |
|
|
Face Detection (SP)
|
100% |
6211
73.8 IPS |
|
|
Face Detection (HP)
|
100% |
1526
18.1 IPS |
|
|
Face Detection (Q)
|
97% |
8033
95.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7100
54.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1977
15.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
12531
100.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12610
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
9312
12.0 IPS |
|
|
Style Transfer (Q)
|
98% |
19582
25.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2348
86.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1729
63.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4831
178.9 IPS |
|
|
Text Classification (SP)
|
100% |
1520
2.03 KIPS |
|
|
Text Classification (HP)
|
100% |
777
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
1444
1.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
1907
32.8 IPS |
|
|
Machine Translation (HP)
|
100% |
767
13.2 IPS |
|
|
Machine Translation (Q)
|
65% |
2735
55.0 IPS |