| User | rodrigo_rl |
| Upload Date | April 04 2025 04:07 AM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 9600X 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650M D3HP |
| Motherboard | Gigabyte Technology Co., Ltd. B650M D3HP |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 9600X 6-Core Processor |
| 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% |
6704
1.25 KIPS |
|
|
Image Classification (HP)
|
100% |
1090
202.7 IPS |
|
|
Image Classification (Q)
|
99% |
13108
2.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3260
52.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1670
27.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4999
81.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12025
14.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
9565
11.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
42238
49.5 IPS |
|
|
Object Detection (SP)
|
100% |
5663
449.2 IPS |
|
|
Object Detection (HP)
|
100% |
1402
111.2 IPS |
|
|
Object Detection (Q)
|
86% |
14025
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
11105
132.0 IPS |
|
|
Face Detection (HP)
|
100% |
2863
34.0 IPS |
|
|
Face Detection (Q)
|
97% |
14218
169.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
14379
110.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3995
30.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
27258
217.5 IPS |
|
|
Style Transfer (SP)
|
100% |
28260
36.3 IPS |
|
|
Style Transfer (HP)
|
100% |
20316
26.1 IPS |
|
|
Style Transfer (Q)
|
98% |
37737
48.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5394
199.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4500
166.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6800
251.8 IPS |
|
|
Text Classification (SP)
|
100% |
3271
4.37 KIPS |
|
|
Text Classification (HP)
|
100% |
1353
1.81 KIPS |
|
|
Text Classification (Q)
|
97% |
2680
3.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
4915
84.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1269
21.9 IPS |
|
|
Machine Translation (Q)
|
65% |
6807
136.8 IPS |