| Upload Date | November 17 2025 05:31 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A5000 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Microsoft Corporation Surface Laptop 5 |
| Motherboard | Microsoft Corporation Surface Laptop 5 |
| Power Plan | Balanced |
| 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% |
4005
744.7 IPS |
|
|
Image Classification (HP)
|
100% |
3133
582.6 IPS |
|
|
Image Classification (Q)
|
100% |
2668
496.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
5587
90.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5247
85.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5148
83.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
62557
73.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
144321
168.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
56480
66.2 IPS |
|
|
Object Detection (SP)
|
100% |
4612
365.8 IPS |
|
|
Object Detection (HP)
|
100% |
3360
266.5 IPS |
|
|
Object Detection (Q)
|
85% |
3840
308.9 IPS |
|
|
Face Detection (SP)
|
100% |
10859
129.0 IPS |
|
|
Face Detection (HP)
|
100% |
9815
116.6 IPS |
|
|
Face Detection (Q)
|
97% |
8740
104.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
28045
216.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
25748
198.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
20469
163.6 IPS |
|
|
Style Transfer (SP)
|
100% |
118109
151.8 IPS |
|
|
Style Transfer (HP)
|
100% |
245381
315.4 IPS |
|
|
Style Transfer (Q)
|
98% |
101924
131.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18021
665.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13384
494.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10939
405.1 IPS |
|
|
Text Classification (SP)
|
100% |
1351
1.80 KIPS |
|
|
Text Classification (HP)
|
100% |
1029
1.37 KIPS |
|
|
Text Classification (Q)
|
97% |
706
946.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1452
25.0 IPS |
|
|
Machine Translation (HP)
|
98% |
1220
21.1 IPS |
|
|
Machine Translation (Q)
|
70% |
868
16.3 IPS |