| Upload Date | January 04 2026 10:41 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9700X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E26 |
| Motherboard | Micro-Star International Co., Ltd. B650 GAMING PLUS WIFI (MS-7E26) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7179
1.34 KIPS |
|
|
Image Classification (HP)
|
100% |
1086
201.9 IPS |
|
|
Image Classification (Q)
|
99% |
13401
2.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2295
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1562
25.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4328
70.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10342
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
7752
9.05 IPS |
|
|
Pose Estimation (Q)
|
94% |
41521
48.7 IPS |
|
|
Object Detection (SP)
|
100% |
5814
461.1 IPS |
|
|
Object Detection (HP)
|
100% |
1160
92.0 IPS |
|
|
Object Detection (Q)
|
86% |
11556
928.7 IPS |
|
|
Face Detection (SP)
|
100% |
6205
73.7 IPS |
|
|
Face Detection (HP)
|
100% |
2524
30.0 IPS |
|
|
Face Detection (Q)
|
97% |
14048
167.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
15409
118.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3742
28.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
25939
207.0 IPS |
|
|
Style Transfer (SP)
|
100% |
28243
36.3 IPS |
|
|
Style Transfer (HP)
|
100% |
22235
28.6 IPS |
|
|
Style Transfer (Q)
|
98% |
22934
29.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5535
204.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4187
154.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6393
236.7 IPS |
|
|
Text Classification (SP)
|
100% |
3201
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
1350
1.80 KIPS |
|
|
Text Classification (Q)
|
97% |
2677
3.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3940
67.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1168
20.1 IPS |
|
|
Machine Translation (Q)
|
65% |
5241
105.3 IPS |