| Upload Date | October 15 2025 11:58 AM |
| Views | 9 |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2697
501.6 IPS |
|
|
Image Classification (HP)
|
100% |
523
97.3 IPS |
|
|
Image Classification (Q)
|
99% |
5035
939.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1412
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
888
14.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2717
44.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5468
6.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
3979
4.64 IPS |
|
|
Pose Estimation (Q)
|
94% |
18963
22.2 IPS |
|
|
Object Detection (SP)
|
100% |
2547
202.0 IPS |
|
|
Object Detection (HP)
|
100% |
643
51.0 IPS |
|
|
Object Detection (Q)
|
86% |
5414
435.1 IPS |
|
|
Face Detection (SP)
|
100% |
6319
75.1 IPS |
|
|
Face Detection (HP)
|
100% |
1640
19.5 IPS |
|
|
Face Detection (Q)
|
97% |
8082
96.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7153
55.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2037
15.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
12697
101.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13019
16.7 IPS |
|
|
Style Transfer (HP)
|
100% |
9449
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
20468
26.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2490
91.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1870
69.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3744
138.6 IPS |
|
|
Text Classification (SP)
|
100% |
1484
1.98 KIPS |
|
|
Text Classification (HP)
|
100% |
739
986.7 IPS |
|
|
Text Classification (Q)
|
97% |
1517
2.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1799
31.0 IPS |
|
|
Machine Translation (HP)
|
100% |
644
11.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2698
54.2 IPS |