User | FSSNAG |
Upload Date | October 24 2024 05:15 AM |
Views | 4 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | Intel(R) Iris(R) Xe Graphics |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | Microsoft Corporation Surface Laptop 5 |
Motherboard | Microsoft Corporation Surface Laptop 5 |
Power Plan | Ausbalanciert |
CPU Information | |
---|---|
Name | Intel Core i7-1265U |
Topology | 1 Processor, 10 Cores, 12 Threads |
Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
Base Frequency | 2.70 GHz |
Cluster 1 | 2 Cores |
Cluster 2 | 8 Cores |
Memory Information | |
---|---|
Size | 16.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
1049
195.1 IPS |
|
Image Classification (HP)
|
100% |
1096
203.9 IPS |
|
Image Classification (Q)
|
99% |
829
154.6 IPS |
|
Image Segmentation (SP)
|
100% |
1782
28.9 IPS |
|
Image Segmentation (HP)
|
100% |
2072
33.6 IPS |
|
Image Segmentation (Q)
|
98% |
1267
20.6 IPS |
|
Pose Estimation (SP)
|
100% |
10652
12.4 IPS |
|
Pose Estimation (HP)
|
100% |
11284
13.2 IPS |
|
Pose Estimation (Q)
|
96% |
5382
6.31 IPS |
|
Object Detection (SP)
|
100% |
1230
97.6 IPS |
|
Object Detection (HP)
|
98% |
1090
86.7 IPS |
|
Object Detection (Q)
|
89% |
918
73.4 IPS |
|
Face Detection (SP)
|
100% |
2407
28.6 IPS |
|
Face Detection (HP)
|
100% |
2736
32.5 IPS |
|
Face Detection (Q)
|
97% |
1587
18.9 IPS |
|
Depth Estimation (SP)
|
100% |
5108
39.4 IPS |
|
Depth Estimation (HP)
|
98% |
5717
44.2 IPS |
|
Depth Estimation (Q)
|
76% |
3510
28.2 IPS |
|
Style Transfer (SP)
|
100% |
22646
29.1 IPS |
|
Style Transfer (HP)
|
100% |
30183
38.8 IPS |
|
Style Transfer (Q)
|
98% |
14449
18.6 IPS |
|
Image Super-Resolution (SP)
|
100% |
2909
107.4 IPS |
|
Image Super-Resolution (HP)
|
100% |
4062
150.0 IPS |
|
Image Super-Resolution (Q)
|
99% |
1288
47.7 IPS |
|
Text Classification (SP)
|
100% |
805
1.07 KIPS |
|
Text Classification (HP)
|
100% |
318
424.4 IPS |
|
Text Classification (Q)
|
97% |
440
589.5 IPS |
|
Machine Translation (SP)
|
100% |
948
16.3 IPS |
|
Machine Translation (HP)
|
100% |
888
15.3 IPS |
|
Machine Translation (Q)
|
60% |
368
8.20 IPS |