| User | iagainsti120 |
| Upload Date | December 11 2025 07:48 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | X570 Taichi |
| Motherboard | ASRock X570 Taichi |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14384
2.67 KIPS |
|
|
Image Classification (HP)
|
100% |
15268
2.84 KIPS |
|
|
Image Classification (Q)
|
99% |
13738
2.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18467
299.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
21211
343.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
23136
376.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
206718
241.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
620009
723.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
189701
222.2 IPS |
|
|
Object Detection (SP)
|
100% |
14495
1.15 KIPS |
|
|
Object Detection (HP)
|
99% |
19851
1.57 KIPS |
|
|
Object Detection (Q)
|
87% |
13380
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
50938
605.3 IPS |
|
|
Face Detection (HP)
|
100% |
56507
671.4 IPS |
|
|
Face Detection (Q)
|
97% |
46460
554.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
86621
667.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
130163
1.00 KIPS |
|
|
Depth Estimation (Q)
|
77% |
73117
585.9 IPS |
|
|
Style Transfer (SP)
|
100% |
377703
485.5 IPS |
|
|
Style Transfer (HP)
|
100% |
685530
881.3 IPS |
|
|
Style Transfer (Q)
|
98% |
352524
454.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
50310
1.86 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
79820
2.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42430
1.57 KIPS |
|
|
Text Classification (SP)
|
100% |
3807
5.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4275
5.71 KIPS |
|
|
Text Classification (Q)
|
97% |
2950
3.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
6353
109.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6253
107.7 IPS |
|
|
Machine Translation (Q)
|
70% |
3957
74.2 IPS |