| User | zsamps |
| Upload Date | April 19 2025 11:28 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Pro Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21KV0018US |
| Motherboard | LENOVO 21KV0018US |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 165H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2722
506.2 IPS |
|
|
Image Classification (HP)
|
100% |
4786
890.1 IPS |
|
|
Image Classification (Q)
|
100% |
2329
433.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3412
55.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8289
134.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2724
44.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
14743
17.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20815
24.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12603
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
3002
238.1 IPS |
|
|
Object Detection (HP)
|
99% |
5494
437.0 IPS |
|
|
Object Detection (Q)
|
86% |
2478
199.2 IPS |
|
|
Face Detection (SP)
|
100% |
5145
61.1 IPS |
|
|
Face Detection (HP)
|
100% |
10136
120.4 IPS |
|
|
Face Detection (Q)
|
97% |
3844
45.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10645
82.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
21901
169.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
8229
66.1 IPS |
|
|
Style Transfer (SP)
|
100% |
47764
61.4 IPS |
|
|
Style Transfer (HP)
|
100% |
74654
96.0 IPS |
|
|
Style Transfer (Q)
|
98% |
34410
44.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8044
297.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12530
462.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4321
160.0 IPS |
|
|
Text Classification (SP)
|
86% |
667
901.8 IPS |
|
|
Text Classification (HP)
|
99% |
667
890.9 IPS |
|
|
Text Classification (Q)
|
84% |
506
687.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2144
36.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2325
40.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1028
19.3 IPS |