| User | willus |
| Upload Date | November 29 2025 01:11 PM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B86 |
| Motherboard | Micro-Star International Co., Ltd. B550 GAMING GEN3 (MS-7B86) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6621
1.23 KIPS |
|
|
Image Classification (HP)
|
100% |
10191
1.90 KIPS |
|
|
Image Classification (Q)
|
99% |
4954
923.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
11089
179.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
15526
251.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
8741
142.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
83667
97.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
236595
276.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
67914
79.6 IPS |
|
|
Object Detection (SP)
|
100% |
7999
634.5 IPS |
|
|
Object Detection (HP)
|
100% |
12815
1.02 KIPS |
|
|
Object Detection (Q)
|
84% |
6191
499.3 IPS |
|
|
Face Detection (SP)
|
100% |
18960
225.3 IPS |
|
|
Face Detection (HP)
|
100% |
30890
367.0 IPS |
|
|
Face Detection (Q)
|
97% |
15053
179.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
39938
307.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
70987
546.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
27056
216.7 IPS |
|
|
Style Transfer (SP)
|
100% |
150146
193.0 IPS |
|
|
Style Transfer (HP)
|
100% |
339461
436.4 IPS |
|
|
Style Transfer (Q)
|
98% |
118721
153.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25897
956.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38776
1.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15146
560.8 IPS |
|
|
Text Classification (SP)
|
100% |
2026
2.70 KIPS |
|
|
Text Classification (HP)
|
99% |
2918
3.89 KIPS |
|
|
Text Classification (Q)
|
97% |
1201
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3761
64.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3807
65.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1489
27.9 IPS |