| User | rodrigo_rl |
| Upload Date | April 06 2026 01:49 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 9600X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Business (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650M D3HP |
| Motherboard | Gigabyte Technology Co., Ltd. B650M D3HP |
| Power Plan | ChrisTitus - Ultimate Power Plan |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3954
735.3 IPS |
|
|
Image Classification (HP)
|
100% |
837
155.6 IPS |
|
|
Image Classification (Q)
|
99% |
8911
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1302
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1009
16.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
8773
142.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7065
8.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
5754
6.71 IPS |
|
|
Pose Estimation (Q)
|
94% |
26487
31.1 IPS |
|
|
Object Detection (SP)
|
100% |
2794
221.6 IPS |
|
|
Object Detection (HP)
|
100% |
876
69.5 IPS |
|
|
Object Detection (Q)
|
86% |
8252
663.2 IPS |
|
|
Face Detection (SP)
|
100% |
6121
72.7 IPS |
|
|
Face Detection (HP)
|
100% |
1911
22.7 IPS |
|
|
Face Detection (Q)
|
97% |
10192
121.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8289
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2397
18.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
18075
144.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15757
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
12882
16.6 IPS |
|
|
Style Transfer (Q)
|
98% |
24878
32.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3007
111.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2587
95.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6066
224.6 IPS |
|
|
Text Classification (SP)
|
100% |
2356
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
1109
1.48 KIPS |
|
|
Text Classification (Q)
|
97% |
1711
2.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2907
50.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1044
18.0 IPS |
|
|
Machine Translation (Q)
|
65% |
4258
85.6 IPS |