| Upload Date | November 28 2025 05:37 AM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XTX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt Z890-CREATOR WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15466
2.88 KIPS |
|
|
Image Classification (HP)
|
100% |
16681
3.10 KIPS |
|
|
Image Classification (Q)
|
99% |
13106
2.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26142
423.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23405
379.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
23133
376.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
279838
326.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
395966
462.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
247234
289.6 IPS |
|
|
Object Detection (SP)
|
100% |
17851
1.42 KIPS |
|
|
Object Detection (HP)
|
99% |
18768
1.49 KIPS |
|
|
Object Detection (Q)
|
87% |
15537
1.25 KIPS |
|
|
Face Detection (SP)
|
100% |
49598
589.3 IPS |
|
|
Face Detection (HP)
|
100% |
54976
653.2 IPS |
|
|
Face Detection (Q)
|
97% |
43864
523.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
75688
583.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
93034
716.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
65462
524.6 IPS |
|
|
Style Transfer (SP)
|
100% |
458075
588.9 IPS |
|
|
Style Transfer (HP)
|
100% |
635237
816.6 IPS |
|
|
Style Transfer (Q)
|
98% |
397835
513.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
49837
1.84 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
59039
2.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40314
1.49 KIPS |
|
|
Text Classification (SP)
|
100% |
4566
6.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4384
5.85 KIPS |
|
|
Text Classification (Q)
|
97% |
2774
3.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
5167
89.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5298
91.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2884
54.1 IPS |