| User | hrichl |
| Upload Date | October 22 2025 04:14 PM |
| 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% |
4399
818.0 IPS |
|
|
Image Classification (HP)
|
100% |
5792
1.08 KIPS |
|
|
Image Classification (Q)
|
100% |
3340
621.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
5423
87.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6129
99.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4757
77.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
86120
100.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
206792
241.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
70409
82.4 IPS |
|
|
Object Detection (SP)
|
100% |
5577
442.4 IPS |
|
|
Object Detection (HP)
|
100% |
6366
504.9 IPS |
|
|
Object Detection (Q)
|
89% |
4084
327.0 IPS |
|
|
Face Detection (SP)
|
100% |
12164
144.5 IPS |
|
|
Face Detection (HP)
|
100% |
15078
179.2 IPS |
|
|
Face Detection (Q)
|
97% |
9862
117.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
36687
282.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
53514
412.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
23259
187.3 IPS |
|
|
Style Transfer (SP)
|
100% |
154361
198.4 IPS |
|
|
Style Transfer (HP)
|
100% |
283304
364.2 IPS |
|
|
Style Transfer (Q)
|
98% |
122518
158.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20726
765.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26144
965.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13029
482.4 IPS |
|
|
Text Classification (SP)
|
100% |
1284
1.71 KIPS |
|
|
Text Classification (HP)
|
99% |
1831
2.44 KIPS |
|
|
Text Classification (Q)
|
97% |
820
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1432
24.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1410
24.3 IPS |
|
|
Machine Translation (Q)
|
60% |
711
15.9 IPS |