| User | BestNoob |
| Upload Date | December 21 2025 12:05 PM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9700X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E70 |
| Motherboard | Micro-Star International Co., Ltd. PRO X870E-P WIFI (MS-7E70) |
| Power Plan | Ultimative Leistung |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X |
| Topology | 1 Processor, 8 Cores |
| 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% |
7646
1.42 KIPS |
|
|
Image Classification (HP)
|
100% |
1221
227.1 IPS |
|
|
Image Classification (Q)
|
99% |
14308
2.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2315
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1756
28.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
16530
268.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
14355
16.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
10458
12.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
46912
55.0 IPS |
|
|
Object Detection (SP)
|
100% |
6925
549.3 IPS |
|
|
Object Detection (HP)
|
100% |
1433
113.6 IPS |
|
|
Object Detection (Q)
|
86% |
13663
1.10 KIPS |
|
|
Face Detection (SP)
|
100% |
11420
135.7 IPS |
|
|
Face Detection (HP)
|
100% |
2874
34.1 IPS |
|
|
Face Detection (Q)
|
97% |
15195
181.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
16991
130.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4245
32.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
27354
218.3 IPS |
|
|
Style Transfer (SP)
|
100% |
32131
41.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23858
30.7 IPS |
|
|
Style Transfer (Q)
|
98% |
36104
46.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5430
200.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4186
154.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6484
240.1 IPS |
|
|
Text Classification (SP)
|
100% |
3366
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
1499
2.00 KIPS |
|
|
Text Classification (Q)
|
97% |
2447
3.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
4844
83.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1499
25.8 IPS |
|
|
Machine Translation (Q)
|
65% |
5467
109.9 IPS |