| User | johndr23 |
| Upload Date | November 28 2025 08:01 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5900XT 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B550-F GAMING |
| Power Plan | Rovnovha |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900XT 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3605
670.4 IPS |
|
|
Image Classification (HP)
|
100% |
583
108.5 IPS |
|
|
Image Classification (Q)
|
96% |
6682
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2094
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
841
13.6 IPS |
|
|
Image Segmentation (Q)
|
97% |
9595
156.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11562
13.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
7355
8.58 IPS |
|
|
Pose Estimation (Q)
|
86% |
23445
27.7 IPS |
|
|
Object Detection (SP)
|
100% |
3765
298.6 IPS |
|
|
Object Detection (HP)
|
100% |
767
60.8 IPS |
|
|
Object Detection (Q)
|
58% |
5125
560.0 IPS |
|
|
Face Detection (SP)
|
100% |
7663
91.0 IPS |
|
|
Face Detection (HP)
|
100% |
1594
18.9 IPS |
|
|
Face Detection (Q)
|
96% |
10942
130.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11697
90.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2606
20.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
17227
137.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24381
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
19910
25.6 IPS |
|
|
Style Transfer (Q)
|
87% |
24217
31.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2549
94.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2182
80.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4070
150.8 IPS |
|
|
Text Classification (SP)
|
100% |
1390
1.86 KIPS |
|
|
Text Classification (HP)
|
100% |
709
946.1 IPS |
|
|
Text Classification (Q)
|
97% |
1370
1.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
2292
39.5 IPS |
|
|
Machine Translation (HP)
|
100% |
983
16.9 IPS |
|
|
Machine Translation (Q)
|
68% |
2995
57.9 IPS |