| Upload Date | November 09 2025 09:15 AM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-14600K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D88 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z790-S WIFI (MS-7D88) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3447
641.1 IPS |
|
|
Image Classification (HP)
|
100% |
583
108.5 IPS |
|
|
Image Classification (Q)
|
99% |
6495
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2075
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1052
17.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3914
63.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7342
8.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
4396
5.13 IPS |
|
|
Pose Estimation (Q)
|
94% |
25304
29.7 IPS |
|
|
Object Detection (SP)
|
100% |
3145
249.5 IPS |
|
|
Object Detection (HP)
|
100% |
735
58.3 IPS |
|
|
Object Detection (Q)
|
86% |
6726
540.6 IPS |
|
|
Face Detection (SP)
|
100% |
8524
101.3 IPS |
|
|
Face Detection (HP)
|
100% |
1743
20.7 IPS |
|
|
Face Detection (Q)
|
97% |
10539
125.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9462
72.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2237
17.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
16078
128.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17741
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
10682
13.7 IPS |
|
|
Style Transfer (Q)
|
98% |
25649
33.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3323
122.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2233
82.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5317
196.9 IPS |
|
|
Text Classification (SP)
|
100% |
1898
2.53 KIPS |
|
|
Text Classification (HP)
|
100% |
873
1.17 KIPS |
|
|
Text Classification (Q)
|
97% |
1855
2.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2171
37.4 IPS |
|
|
Machine Translation (HP)
|
100% |
869
15.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3530
70.9 IPS |