| User | knedle |
| Upload Date | September 22 2025 03:17 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 8600G |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise N (64-bit) |
| Model | ASRock B850 Pro-A |
| Motherboard | ASRock B850 Pro-A |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 8600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.35 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1567
291.5 IPS |
|
|
Image Classification (HP)
|
100% |
453
84.2 IPS |
|
|
Image Classification (Q)
|
99% |
5544
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1068
17.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
585
9.48 IPS |
|
|
Image Segmentation (Q)
|
98% |
5478
89.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3744
4.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
3327
3.88 IPS |
|
|
Pose Estimation (Q)
|
94% |
15789
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
1720
136.4 IPS |
|
|
Object Detection (HP)
|
100% |
583
46.2 IPS |
|
|
Object Detection (Q)
|
86% |
5316
427.3 IPS |
|
|
Face Detection (SP)
|
100% |
4272
50.8 IPS |
|
|
Face Detection (HP)
|
100% |
1327
15.8 IPS |
|
|
Face Detection (Q)
|
97% |
7567
90.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4688
36.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1901
14.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
6483
51.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9072
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
8115
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
19483
25.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1468
54.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1400
51.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4748
175.8 IPS |
|
|
Text Classification (SP)
|
100% |
1521
2.03 KIPS |
|
|
Text Classification (HP)
|
100% |
737
983.8 IPS |
|
|
Text Classification (Q)
|
97% |
1564
2.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1716
29.6 IPS |
|
|
Machine Translation (HP)
|
100% |
723
12.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2375
47.7 IPS |