| Upload Date | December 02 2025 10:16 AM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock B650M-HDV/M.2 |
| Motherboard | ASRock B650M-HDV/M.2 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 9600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14241
2.65 KIPS |
|
|
Image Classification (HP)
|
100% |
21680
4.03 KIPS |
|
|
Image Classification (Q)
|
100% |
12544
2.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24401
395.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
35300
572.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
22023
358.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
174551
203.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
710860
829.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
157571
184.6 IPS |
|
|
Object Detection (SP)
|
100% |
17942
1.42 KIPS |
|
|
Object Detection (HP)
|
100% |
29830
2.37 KIPS |
|
|
Object Detection (Q)
|
86% |
14701
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
52910
628.7 IPS |
|
|
Face Detection (HP)
|
100% |
76899
913.7 IPS |
|
|
Face Detection (Q)
|
97% |
43034
513.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
86047
662.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
153141
1.18 KIPS |
|
|
Depth Estimation (Q)
|
78% |
64404
514.3 IPS |
|
|
Style Transfer (SP)
|
100% |
320771
412.4 IPS |
|
|
Style Transfer (HP)
|
100% |
1028545
1.32 KIPS |
|
|
Style Transfer (Q)
|
98% |
266743
344.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
48894
1.81 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
82459
3.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37651
1.39 KIPS |
|
|
Text Classification (SP)
|
100% |
4024
5.37 KIPS |
|
|
Text Classification (HP)
|
100% |
5032
6.72 KIPS |
|
|
Text Classification (Q)
|
97% |
2399
3.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
6775
116.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6756
116.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2995
56.2 IPS |