| User | CatCat |
| Upload Date | October 11 2025 03:49 PM |
| Views | 5 |
| 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% |
8809
1.64 KIPS |
|
|
Image Classification (HP)
|
100% |
1240
230.5 IPS |
|
|
Image Classification (Q)
|
99% |
15128
2.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2281
37.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1865
30.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
17971
292.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
17389
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
13385
15.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
57765
67.7 IPS |
|
|
Object Detection (SP)
|
100% |
8822
699.8 IPS |
|
|
Object Detection (HP)
|
100% |
1606
127.4 IPS |
|
|
Object Detection (Q)
|
86% |
15659
1.26 KIPS |
|
|
Face Detection (SP)
|
100% |
22227
264.1 IPS |
|
|
Face Detection (HP)
|
100% |
3522
41.8 IPS |
|
|
Face Detection (Q)
|
97% |
16182
192.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
23364
180.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4769
36.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
39348
314.0 IPS |
|
|
Style Transfer (SP)
|
100% |
39362
50.6 IPS |
|
|
Style Transfer (HP)
|
100% |
27576
35.4 IPS |
|
|
Style Transfer (Q)
|
98% |
45841
59.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6408
236.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5415
199.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6997
259.1 IPS |
|
|
Text Classification (SP)
|
100% |
3644
4.86 KIPS |
|
|
Text Classification (HP)
|
100% |
1539
2.05 KIPS |
|
|
Text Classification (Q)
|
97% |
2570
3.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
5917
101.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1658
28.6 IPS |
|
|
Machine Translation (Q)
|
65% |
6177
124.1 IPS |