| Upload Date | November 05 2025 09:10 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 9600X 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E24 |
| Motherboard | Micro-Star International Co., Ltd. B650M GAMING PLUS WIFI (MS-7E24) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 9600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5947
1.11 KIPS |
|
|
Image Classification (HP)
|
100% |
1053
195.8 IPS |
|
|
Image Classification (Q)
|
99% |
12065
2.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2757
44.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1558
25.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4729
76.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11445
13.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
8641
10.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
37410
43.9 IPS |
|
|
Object Detection (SP)
|
100% |
5514
437.3 IPS |
|
|
Object Detection (HP)
|
100% |
1355
107.5 IPS |
|
|
Object Detection (Q)
|
86% |
12442
999.9 IPS |
|
|
Face Detection (SP)
|
100% |
9998
118.8 IPS |
|
|
Face Detection (HP)
|
100% |
2735
32.5 IPS |
|
|
Face Detection (Q)
|
97% |
13242
157.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13256
102.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3702
28.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
25712
205.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25365
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
18637
24.0 IPS |
|
|
Style Transfer (Q)
|
98% |
35707
46.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4375
161.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3868
142.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6568
243.2 IPS |
|
|
Text Classification (SP)
|
100% |
3107
4.15 KIPS |
|
|
Text Classification (HP)
|
100% |
1333
1.78 KIPS |
|
|
Text Classification (Q)
|
97% |
2629
3.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
4099
70.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1200
20.7 IPS |
|
|
Machine Translation (Q)
|
65% |
5723
115.0 IPS |