| User | CatCat |
| Upload Date | March 06 2026 01:16 PM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise (64-bit) |
| Model | ASRock B650M PG Riptide |
| Motherboard | ASRock B650M PG Riptide |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8622
1.60 KIPS |
|
|
Image Classification (HP)
|
100% |
1240
230.5 IPS |
|
|
Image Classification (Q)
|
99% |
14975
2.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2530
41.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1852
30.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
17735
288.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
17456
20.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
13523
15.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
57197
67.1 IPS |
|
|
Object Detection (SP)
|
100% |
8717
691.5 IPS |
|
|
Object Detection (HP)
|
100% |
1577
125.1 IPS |
|
|
Object Detection (Q)
|
86% |
15466
1.24 KIPS |
|
|
Face Detection (SP)
|
100% |
17701
210.3 IPS |
|
|
Face Detection (HP)
|
100% |
3584
42.6 IPS |
|
|
Face Detection (Q)
|
97% |
15837
188.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
23081
177.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4950
38.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
39000
311.2 IPS |
|
|
Style Transfer (SP)
|
100% |
40435
52.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28679
36.9 IPS |
|
|
Style Transfer (Q)
|
98% |
46220
59.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6055
223.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5370
198.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6629
245.5 IPS |
|
|
Text Classification (SP)
|
100% |
3578
4.78 KIPS |
|
|
Text Classification (HP)
|
100% |
1529
2.04 KIPS |
|
|
Text Classification (Q)
|
97% |
2564
3.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
6014
103.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1665
28.7 IPS |
|
|
Machine Translation (Q)
|
65% |
6181
124.2 IPS |