| Upload Date | January 06 2026 08:14 AM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9900X 12-Core Processor |
| 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 | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4851
902.2 IPS |
|
|
Image Classification (HP)
|
100% |
828
153.9 IPS |
|
|
Image Classification (Q)
|
99% |
10968
2.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2638
42.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1331
21.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4958
80.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
20195
23.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12926
15.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
62736
73.6 IPS |
|
|
Object Detection (SP)
|
100% |
5168
409.9 IPS |
|
|
Object Detection (HP)
|
100% |
1019
80.8 IPS |
|
|
Object Detection (Q)
|
86% |
12549
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
9322
110.8 IPS |
|
|
Face Detection (HP)
|
100% |
2377
28.2 IPS |
|
|
Face Detection (Q)
|
97% |
14066
167.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
16050
123.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3876
29.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
27903
222.7 IPS |
|
|
Style Transfer (SP)
|
100% |
35187
45.2 IPS |
|
|
Style Transfer (HP)
|
100% |
27090
34.8 IPS |
|
|
Style Transfer (Q)
|
98% |
43885
56.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4038
149.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3319
122.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5984
221.6 IPS |
|
|
Text Classification (SP)
|
100% |
2257
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
970
1.29 KIPS |
|
|
Text Classification (Q)
|
97% |
2059
2.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
3461
59.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1012
17.4 IPS |
|
|
Machine Translation (Q)
|
65% |
4576
91.9 IPS |