| Upload Date | November 22 2025 06:47 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C56 |
| Motherboard | Micro-Star International Co., Ltd. MPG B550 GAMING PLUS (MS-7C56) |
| Power Plan | Performances leves |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12642
2.35 KIPS |
|
|
Image Classification (HP)
|
100% |
18285
3.40 KIPS |
|
|
Image Classification (Q)
|
100% |
11147
2.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23518
381.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
33547
543.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
21064
342.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
174279
203.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
683942
798.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
157567
184.6 IPS |
|
|
Object Detection (SP)
|
100% |
16788
1.33 KIPS |
|
|
Object Detection (HP)
|
100% |
26493
2.10 KIPS |
|
|
Object Detection (Q)
|
86% |
14046
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
49800
591.7 IPS |
|
|
Face Detection (HP)
|
100% |
71442
848.9 IPS |
|
|
Face Detection (Q)
|
97% |
41130
490.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
83159
640.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
145750
1.12 KIPS |
|
|
Depth Estimation (Q)
|
78% |
63213
504.8 IPS |
|
|
Style Transfer (SP)
|
100% |
314020
403.7 IPS |
|
|
Style Transfer (HP)
|
100% |
971790
1.25 KIPS |
|
|
Style Transfer (Q)
|
98% |
261660
337.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45352
1.67 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
72372
2.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35260
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
3219
4.30 KIPS |
|
|
Text Classification (HP)
|
100% |
3835
5.12 KIPS |
|
|
Text Classification (Q)
|
97% |
2056
2.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
6363
109.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6464
111.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2958
55.5 IPS |