| User | Eugene107 |
| Upload Date | April 27 2025 01:12 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Windows 11 (64-bit) |
| Model | LENOVO 21LE |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2202
409.4 IPS |
|
|
Image Classification (HP)
|
100% |
4136
769.2 IPS |
|
|
Image Classification (Q)
|
100% |
1897
352.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2806
45.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6567
106.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2302
37.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
12211
14.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16550
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
10462
12.3 IPS |
|
|
Object Detection (SP)
|
100% |
2269
180.0 IPS |
|
|
Object Detection (HP)
|
99% |
4732
376.4 IPS |
|
|
Object Detection (Q)
|
86% |
1971
158.5 IPS |
|
|
Face Detection (SP)
|
100% |
4016
47.7 IPS |
|
|
Face Detection (HP)
|
100% |
7590
90.2 IPS |
|
|
Face Detection (Q)
|
97% |
3118
37.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8731
67.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
18221
140.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
6824
54.8 IPS |
|
|
Style Transfer (SP)
|
100% |
38345
49.3 IPS |
|
|
Style Transfer (HP)
|
100% |
56626
72.8 IPS |
|
|
Style Transfer (Q)
|
98% |
27452
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6242
230.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9963
367.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3533
130.8 IPS |
|
|
Text Classification (SP)
|
86% |
787
1.06 KIPS |
|
|
Text Classification (HP)
|
99% |
688
918.7 IPS |
|
|
Text Classification (Q)
|
84% |
566
767.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2070
35.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2244
38.7 IPS |
|
|
Machine Translation (Q)
|
70% |
910
17.1 IPS |