| User | lingxue |
| Upload Date | September 17 2025 07:29 AM |
| Views | 2 |
| 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% |
3789
704.7 IPS |
|
|
Image Classification (HP)
|
100% |
663
123.4 IPS |
|
|
Image Classification (Q)
|
99% |
7024
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2177
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1198
19.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
10797
175.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8201
9.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
4785
5.58 IPS |
|
|
Pose Estimation (Q)
|
94% |
27914
32.7 IPS |
|
|
Object Detection (SP)
|
100% |
3668
291.0 IPS |
|
|
Object Detection (HP)
|
100% |
831
66.0 IPS |
|
|
Object Detection (Q)
|
86% |
7288
585.8 IPS |
|
|
Face Detection (SP)
|
100% |
10708
127.2 IPS |
|
|
Face Detection (HP)
|
100% |
1910
22.7 IPS |
|
|
Face Detection (Q)
|
97% |
11287
134.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10408
80.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2457
18.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
17642
140.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19069
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
11580
14.9 IPS |
|
|
Style Transfer (Q)
|
98% |
28790
37.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3397
125.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2224
82.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5916
219.1 IPS |
|
|
Text Classification (SP)
|
100% |
1858
2.48 KIPS |
|
|
Text Classification (HP)
|
100% |
894
1.19 KIPS |
|
|
Text Classification (Q)
|
97% |
1856
2.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2385
41.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1037
17.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3676
73.9 IPS |