| Upload Date | November 10 2025 12:49 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX PRO 5000 Blackwell Generation Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21RQCTO1WW |
| Motherboard | LENOVO 21RQCTO1WW |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285HX |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11718
2.18 KIPS |
|
|
Image Classification (HP)
|
100% |
19429
3.61 KIPS |
|
|
Image Classification (Q)
|
100% |
10409
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22872
370.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
32228
522.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
20356
331.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
165079
192.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
496725
579.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
134915
158.0 IPS |
|
|
Object Detection (SP)
|
100% |
15105
1.20 KIPS |
|
|
Object Detection (HP)
|
100% |
23817
1.89 KIPS |
|
|
Object Detection (Q)
|
86% |
13019
1.05 KIPS |
|
|
Face Detection (SP)
|
100% |
44514
528.9 IPS |
|
|
Face Detection (HP)
|
100% |
67921
807.0 IPS |
|
|
Face Detection (Q)
|
97% |
36623
436.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
63189
486.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
149123
1.15 KIPS |
|
|
Depth Estimation (Q)
|
78% |
52435
418.7 IPS |
|
|
Style Transfer (SP)
|
100% |
261648
336.4 IPS |
|
|
Style Transfer (HP)
|
100% |
859614
1.11 KIPS |
|
|
Style Transfer (Q)
|
98% |
205929
265.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40261
1.49 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
70683
2.61 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32184
1.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3462
4.62 KIPS |
|
|
Text Classification (HP)
|
100% |
4562
6.09 KIPS |
|
|
Text Classification (Q)
|
97% |
2099
2.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
6073
104.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6100
105.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2903
54.4 IPS |