| Upload Date | July 27 2025 01:56 PM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock B650 Pro RS |
| Motherboard | ASRock B650 Pro RS |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14343
2.67 KIPS |
|
|
Image Classification (HP)
|
100% |
21824
4.06 KIPS |
|
|
Image Classification (Q)
|
100% |
12610
2.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25010
405.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
37259
604.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
22508
366.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
174115
203.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
683260
797.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
156313
183.1 IPS |
|
|
Object Detection (SP)
|
100% |
17422
1.38 KIPS |
|
|
Object Detection (HP)
|
100% |
29647
2.35 KIPS |
|
|
Object Detection (Q)
|
86% |
14603
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
53107
631.0 IPS |
|
|
Face Detection (HP)
|
100% |
76879
913.5 IPS |
|
|
Face Detection (Q)
|
97% |
42722
509.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
85807
661.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
144969
1.12 KIPS |
|
|
Depth Estimation (Q)
|
78% |
63337
505.8 IPS |
|
|
Style Transfer (SP)
|
100% |
319127
410.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1044370
1.34 KIPS |
|
|
Style Transfer (Q)
|
98% |
264106
340.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47789
1.76 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
80279
2.96 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36766
1.36 KIPS |
|
|
Text Classification (SP)
|
100% |
3895
5.20 KIPS |
|
|
Text Classification (HP)
|
100% |
4806
6.41 KIPS |
|
|
Text Classification (Q)
|
97% |
2364
3.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
6866
118.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6911
119.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2987
56.0 IPS |