| User | rodrigo_rl |
| Upload Date | November 04 2025 01:20 AM |
| Views | 11 |
| 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 |
| 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% |
5590
1.04 KIPS |
|
|
Image Classification (HP)
|
100% |
1009
187.7 IPS |
|
|
Image Classification (Q)
|
99% |
11342
2.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2332
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1609
26.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
12988
211.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10597
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
8093
9.44 IPS |
|
|
Pose Estimation (Q)
|
94% |
33392
39.2 IPS |
|
|
Object Detection (SP)
|
100% |
5270
418.0 IPS |
|
|
Object Detection (HP)
|
100% |
1268
100.6 IPS |
|
|
Object Detection (Q)
|
86% |
11724
942.3 IPS |
|
|
Face Detection (SP)
|
100% |
10037
119.3 IPS |
|
|
Face Detection (HP)
|
100% |
2634
31.3 IPS |
|
|
Face Detection (Q)
|
97% |
13208
157.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13726
105.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3834
29.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
25260
201.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25350
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
18149
23.3 IPS |
|
|
Style Transfer (Q)
|
98% |
35518
45.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4594
169.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3678
135.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3994
147.9 IPS |
|
|
Text Classification (SP)
|
100% |
3174
4.24 KIPS |
|
|
Text Classification (HP)
|
100% |
1432
1.91 KIPS |
|
|
Text Classification (Q)
|
97% |
2427
3.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
4720
81.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1397
24.1 IPS |
|
|
Machine Translation (Q)
|
65% |
6326
127.1 IPS |