| Upload Date | December 15 2025 11:54 AM |
| Views | 8 |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6963
1.29 KIPS |
|
|
Image Classification (HP)
|
100% |
1103
205.1 IPS |
|
|
Image Classification (Q)
|
99% |
13555
2.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2931
47.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1624
26.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5127
83.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
14050
16.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
10847
12.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
45828
53.7 IPS |
|
|
Object Detection (SP)
|
100% |
6603
523.8 IPS |
|
|
Object Detection (HP)
|
100% |
1410
111.8 IPS |
|
|
Object Detection (Q)
|
86% |
13626
1.10 KIPS |
|
|
Face Detection (SP)
|
100% |
11634
138.2 IPS |
|
|
Face Detection (HP)
|
100% |
2893
34.4 IPS |
|
|
Face Detection (Q)
|
97% |
14549
173.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
16843
129.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4298
33.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
29190
232.9 IPS |
|
|
Style Transfer (SP)
|
100% |
32394
41.6 IPS |
|
|
Style Transfer (HP)
|
100% |
22980
29.5 IPS |
|
|
Style Transfer (Q)
|
98% |
38426
49.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5593
206.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4227
156.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6754
250.1 IPS |
|
|
Text Classification (SP)
|
100% |
3300
4.41 KIPS |
|
|
Text Classification (HP)
|
100% |
1394
1.86 KIPS |
|
|
Text Classification (Q)
|
97% |
2682
3.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
4364
75.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1246
21.5 IPS |
|
|
Machine Translation (Q)
|
65% |
5312
106.7 IPS |