| Upload Date | November 11 2025 08:36 AM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21KWS63C00 |
| Motherboard | LENOVO 21KWS63C00 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6919
1.29 KIPS |
|
|
Image Classification (HP)
|
100% |
8253
1.53 KIPS |
|
|
Image Classification (Q)
|
100% |
4271
794.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
10206
165.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
11373
184.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
9680
157.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
194193
226.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
432559
504.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
157102
184.0 IPS |
|
|
Object Detection (SP)
|
100% |
7651
606.9 IPS |
|
|
Object Detection (HP)
|
100% |
10655
845.2 IPS |
|
|
Object Detection (Q)
|
86% |
7323
588.4 IPS |
|
|
Face Detection (SP)
|
100% |
23696
281.6 IPS |
|
|
Face Detection (HP)
|
100% |
27984
332.5 IPS |
|
|
Face Detection (Q)
|
97% |
22485
268.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
68161
525.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
102548
790.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
54884
438.3 IPS |
|
|
Style Transfer (SP)
|
100% |
255093
327.9 IPS |
|
|
Style Transfer (HP)
|
100% |
570441
733.3 IPS |
|
|
Style Transfer (Q)
|
98% |
235670
303.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36302
1.34 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
45355
1.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31724
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
1809
2.42 KIPS |
|
|
Text Classification (HP)
|
100% |
2045
2.73 KIPS |
|
|
Text Classification (Q)
|
97% |
728
975.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2221
38.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2244
38.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1516
28.4 IPS |