| Upload Date | November 07 2025 05:11 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Alienware Alienware Aurora ACT1250 |
| Motherboard | Alienware 01CVX5 |
| Power Plan | Balanced |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9474
1.76 KIPS |
|
|
Image Classification (HP)
|
100% |
17230
3.20 KIPS |
|
|
Image Classification (Q)
|
100% |
8677
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17859
289.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
27341
443.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
16161
262.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
121021
141.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
393551
459.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
113136
132.5 IPS |
|
|
Object Detection (SP)
|
100% |
11324
898.2 IPS |
|
|
Object Detection (HP)
|
100% |
20825
1.65 KIPS |
|
|
Object Detection (Q)
|
83% |
9867
797.2 IPS |
|
|
Face Detection (SP)
|
100% |
30496
362.4 IPS |
|
|
Face Detection (HP)
|
100% |
50043
594.6 IPS |
|
|
Face Detection (Q)
|
97% |
26470
315.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
54067
416.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
117113
902.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
43912
350.5 IPS |
|
|
Style Transfer (SP)
|
100% |
171851
220.9 IPS |
|
|
Style Transfer (HP)
|
100% |
607781
781.3 IPS |
|
|
Style Transfer (Q)
|
98% |
149074
192.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34322
1.27 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
66545
2.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26767
991.2 IPS |
|
|
Text Classification (SP)
|
100% |
3516
4.69 KIPS |
|
|
Text Classification (HP)
|
100% |
4581
6.11 KIPS |
|
|
Text Classification (Q)
|
97% |
2248
3.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
5428
93.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6060
104.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2049
38.4 IPS |