| User | FSSNAG |
| Upload Date | October 24 2024 04:49 AM |
| Views | 9 |
| 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% |
1072
199.4 IPS |
|
|
Image Classification (HP)
|
100% |
1085
201.7 IPS |
|
|
Image Classification (Q)
|
99% |
856
159.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1804
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2135
34.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1311
21.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10715
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
11281
13.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
5402
6.33 IPS |
|
|
Object Detection (SP)
|
100% |
1286
102.0 IPS |
|
|
Object Detection (HP)
|
98% |
1116
88.8 IPS |
|
|
Object Detection (Q)
|
89% |
986
78.9 IPS |
|
|
Face Detection (SP)
|
100% |
2458
29.2 IPS |
|
|
Face Detection (HP)
|
100% |
2818
33.5 IPS |
|
|
Face Detection (Q)
|
97% |
1670
19.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5139
39.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
5833
45.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
3527
28.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22799
29.3 IPS |
|
|
Style Transfer (HP)
|
100% |
29966
38.5 IPS |
|
|
Style Transfer (Q)
|
98% |
14514
18.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3002
110.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4123
152.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1296
48.0 IPS |
|
|
Text Classification (SP)
|
100% |
864
1.15 KIPS |
|
|
Text Classification (HP)
|
100% |
320
427.2 IPS |
|
|
Text Classification (Q)
|
97% |
444
594.3 IPS |
|
|
Machine Translation (SP)
|
100% |
959
16.5 IPS |
|
|
Machine Translation (HP)
|
100% |
883
15.2 IPS |
|
|
Machine Translation (Q)
|
60% |
372
8.29 IPS |