| User | Patrick_ServeTheHome |
| Upload Date | January 17 2026 09:28 PM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 30K5001XUS |
| Motherboard | LENOVO 337A |
| Power Plan | Lenovo High Performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285 |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2436
453.0 IPS |
|
|
Image Classification (HP)
|
100% |
3749
697.1 IPS |
|
|
Image Classification (Q)
|
99% |
1663
310.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2672
43.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4829
78.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1767
28.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10234
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
16995
19.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
8451
9.90 IPS |
|
|
Object Detection (SP)
|
100% |
2343
185.9 IPS |
|
|
Object Detection (HP)
|
100% |
4165
330.4 IPS |
|
|
Object Detection (Q)
|
86% |
1727
138.9 IPS |
|
|
Face Detection (SP)
|
100% |
4032
47.9 IPS |
|
|
Face Detection (HP)
|
100% |
6959
82.7 IPS |
|
|
Face Detection (Q)
|
97% |
2737
32.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8952
69.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
14244
110.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
6485
52.0 IPS |
|
|
Style Transfer (SP)
|
100% |
26335
33.9 IPS |
|
|
Style Transfer (HP)
|
100% |
42001
54.0 IPS |
|
|
Style Transfer (Q)
|
98% |
18811
24.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4354
160.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6630
244.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2966
109.8 IPS |
|
|
Text Classification (SP)
|
100% |
1084
1.45 KIPS |
|
|
Text Classification (HP)
|
100% |
629
840.1 IPS |
|
|
Text Classification (Q)
|
97% |
660
884.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2042
35.2 IPS |
|
|
Machine Translation (HP)
|
96% |
2188
37.8 IPS |
|
|
Machine Translation (Q)
|
70% |
852
16.0 IPS |