| User | lingxue |
| Upload Date | September 17 2025 08:44 AM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-14600KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E06 |
| Motherboard | Micro-Star International Co., Ltd. Z790 GAMING PLUS WIFI (MS-7E06) |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600KF |
| 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% |
3924
729.7 IPS |
|
|
Image Classification (HP)
|
100% |
675
125.4 IPS |
|
|
Image Classification (Q)
|
99% |
7152
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2174
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1145
18.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
11000
178.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8365
9.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
4904
5.72 IPS |
|
|
Pose Estimation (Q)
|
94% |
28787
33.8 IPS |
|
|
Object Detection (SP)
|
100% |
3765
298.6 IPS |
|
|
Object Detection (HP)
|
100% |
950
75.4 IPS |
|
|
Object Detection (Q)
|
86% |
7539
605.9 IPS |
|
|
Face Detection (SP)
|
100% |
10767
127.9 IPS |
|
|
Face Detection (HP)
|
100% |
2053
24.4 IPS |
|
|
Face Detection (Q)
|
97% |
11819
140.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10500
80.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2529
19.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
17234
137.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19622
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
11791
15.2 IPS |
|
|
Style Transfer (Q)
|
98% |
30628
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3311
122.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2309
85.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6552
242.6 IPS |
|
|
Text Classification (SP)
|
100% |
1954
2.61 KIPS |
|
|
Text Classification (HP)
|
100% |
1002
1.34 KIPS |
|
|
Text Classification (Q)
|
97% |
1924
2.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
2443
42.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1075
18.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3812
76.6 IPS |