| User | hrichl |
| Upload Date | October 23 2025 01:04 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2080 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Microsoft Corporation Surface Laptop Studio |
| Motherboard | Microsoft Corporation Surface Laptop Studio |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11370H |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4230
786.7 IPS |
|
|
Image Classification (HP)
|
100% |
5397
1.00 KIPS |
|
|
Image Classification (Q)
|
100% |
3265
607.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
5540
89.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6375
103.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4874
79.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
89622
104.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
223281
260.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
73782
86.4 IPS |
|
|
Object Detection (SP)
|
100% |
5441
431.6 IPS |
|
|
Object Detection (HP)
|
100% |
7082
561.8 IPS |
|
|
Object Detection (Q)
|
89% |
4206
336.8 IPS |
|
|
Face Detection (SP)
|
100% |
12653
150.3 IPS |
|
|
Face Detection (HP)
|
100% |
15888
188.8 IPS |
|
|
Face Detection (Q)
|
97% |
10185
121.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
38058
293.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
56747
437.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
24541
197.7 IPS |
|
|
Style Transfer (SP)
|
100% |
160277
206.0 IPS |
|
|
Style Transfer (HP)
|
100% |
295369
379.7 IPS |
|
|
Style Transfer (Q)
|
98% |
123420
159.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21379
789.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28109
1.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13989
518.0 IPS |
|
|
Text Classification (SP)
|
100% |
1391
1.86 KIPS |
|
|
Text Classification (HP)
|
99% |
1888
2.52 KIPS |
|
|
Text Classification (Q)
|
97% |
929
1.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
1505
25.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1493
25.7 IPS |
|
|
Machine Translation (Q)
|
60% |
744
16.6 IPS |