| Upload Date | November 04 2025 01:03 PM |
| 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-7D46 |
| Motherboard | Micro-Star International Co., Ltd. PRO H610M-G WIFI (MS-7D46) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14400F |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| 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% |
2306
428.9 IPS |
|
|
Image Classification (HP)
|
100% |
497
92.5 IPS |
|
|
Image Classification (Q)
|
99% |
4495
838.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1424
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
869
14.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2824
45.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4683
5.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
3510
4.10 IPS |
|
|
Pose Estimation (Q)
|
94% |
16688
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2115
167.8 IPS |
|
|
Object Detection (HP)
|
100% |
631
50.0 IPS |
|
|
Object Detection (Q)
|
86% |
5000
401.9 IPS |
|
|
Face Detection (SP)
|
100% |
5696
67.7 IPS |
|
|
Face Detection (HP)
|
100% |
1496
17.8 IPS |
|
|
Face Detection (Q)
|
97% |
7209
86.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6170
47.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1891
14.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
11657
93.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11418
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
8358
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
19582
25.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2238
82.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1690
62.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3796
140.6 IPS |
|
|
Text Classification (SP)
|
100% |
1425
1.90 KIPS |
|
|
Text Classification (HP)
|
100% |
693
925.6 IPS |
|
|
Text Classification (Q)
|
97% |
1564
2.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1847
31.8 IPS |
|
|
Machine Translation (HP)
|
100% |
724
12.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2452
49.3 IPS |