| User | LukeG |
| Upload Date | December 19 2025 10:11 PM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 9600X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E83 |
| Motherboard | Micro-Star International Co., Ltd. B850MPOWER (MS-7E83) |
| Power Plan | High performance |
| 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 | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7408
1.38 KIPS |
|
|
Image Classification (HP)
|
100% |
1136
211.2 IPS |
|
|
Image Classification (Q)
|
99% |
13322
2.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2642
42.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1695
27.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5742
93.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11267
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
9357
10.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
43212
50.7 IPS |
|
|
Object Detection (SP)
|
100% |
6059
480.6 IPS |
|
|
Object Detection (HP)
|
100% |
1396
110.8 IPS |
|
|
Object Detection (Q)
|
86% |
9798
787.5 IPS |
|
|
Face Detection (SP)
|
100% |
11368
135.1 IPS |
|
|
Face Detection (HP)
|
100% |
2862
34.0 IPS |
|
|
Face Detection (Q)
|
97% |
13531
161.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
15596
120.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3911
30.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
28669
228.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25992
33.4 IPS |
|
|
Style Transfer (HP)
|
100% |
17931
23.1 IPS |
|
|
Style Transfer (Q)
|
98% |
40493
52.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4589
169.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4019
148.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6333
234.5 IPS |
|
|
Text Classification (SP)
|
100% |
3487
4.65 KIPS |
|
|
Text Classification (HP)
|
100% |
1583
2.11 KIPS |
|
|
Text Classification (Q)
|
97% |
628
840.8 IPS |
|
|
Machine Translation (SP)
|
100% |
4229
72.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1547
26.6 IPS |
|
|
Machine Translation (Q)
|
65% |
5370
107.9 IPS |