| Upload Date | November 06 2025 06:04 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B550-F GAMING (WI-FI) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3206
596.3 IPS |
|
|
Image Classification (HP)
|
100% |
571
106.1 IPS |
|
|
Image Classification (Q)
|
96% |
6202
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1976
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
786
12.7 IPS |
|
|
Image Segmentation (Q)
|
97% |
8851
144.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11204
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
6565
7.66 IPS |
|
|
Pose Estimation (Q)
|
86% |
21257
25.1 IPS |
|
|
Object Detection (SP)
|
100% |
3336
264.6 IPS |
|
|
Object Detection (HP)
|
100% |
711
56.4 IPS |
|
|
Object Detection (Q)
|
58% |
4371
477.6 IPS |
|
|
Face Detection (SP)
|
100% |
5526
65.7 IPS |
|
|
Face Detection (HP)
|
100% |
1454
17.3 IPS |
|
|
Face Detection (Q)
|
96% |
9913
118.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10204
78.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1912
14.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
11989
95.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16842
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
14464
18.6 IPS |
|
|
Style Transfer (Q)
|
87% |
16266
21.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2508
92.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2172
80.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3905
144.7 IPS |
|
|
Text Classification (SP)
|
100% |
1346
1.80 KIPS |
|
|
Text Classification (HP)
|
100% |
633
844.3 IPS |
|
|
Text Classification (Q)
|
97% |
1145
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
2167
37.3 IPS |
|
|
Machine Translation (HP)
|
100% |
779
13.4 IPS |
|
|
Machine Translation (Q)
|
68% |
2752
53.2 IPS |