| Upload Date | November 13 2025 12:55 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 4000 Ada Generation |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Dell Pro Max Tower T2 FCT2250 |
| Motherboard | Dell Inc. 0D8XDK |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8957
1.67 KIPS |
|
|
Image Classification (HP)
|
99% |
14440
2.69 KIPS |
|
|
Image Classification (Q)
|
100% |
8060
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18254
295.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
25228
409.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
16236
264.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
122859
143.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
317627
370.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
111002
130.1 IPS |
|
|
Object Detection (SP)
|
100% |
11129
882.8 IPS |
|
|
Object Detection (HP)
|
100% |
18555
1.47 KIPS |
|
|
Object Detection (Q)
|
85% |
9254
745.0 IPS |
|
|
Face Detection (SP)
|
100% |
33065
392.9 IPS |
|
|
Face Detection (HP)
|
100% |
48213
572.9 IPS |
|
|
Face Detection (Q)
|
97% |
27985
333.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
54592
420.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
95910
738.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
42811
341.8 IPS |
|
|
Style Transfer (SP)
|
100% |
200384
257.6 IPS |
|
|
Style Transfer (HP)
|
100% |
502460
645.9 IPS |
|
|
Style Transfer (Q)
|
98% |
183823
237.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38873
1.44 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
49066
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28091
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3167
4.23 KIPS |
|
|
Text Classification (HP)
|
99% |
4089
5.46 KIPS |
|
|
Text Classification (Q)
|
97% |
1913
2.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
5089
87.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5224
90.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2154
40.4 IPS |