| Upload Date | October 24 2025 01:21 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Intel(R) Client Systems NUC11PHi7 |
| Motherboard | Intel Corporation NUC11PHBi7 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1165G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3998
743.5 IPS |
|
|
Image Classification (HP)
|
100% |
5730
1.07 KIPS |
|
|
Image Classification (Q)
|
99% |
3325
620.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
5204
84.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6446
104.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4485
72.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
51437
60.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
138199
161.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
43467
50.9 IPS |
|
|
Object Detection (SP)
|
100% |
4828
383.0 IPS |
|
|
Object Detection (HP)
|
100% |
6699
531.4 IPS |
|
|
Object Detection (Q)
|
84% |
3923
316.4 IPS |
|
|
Face Detection (SP)
|
100% |
10892
129.4 IPS |
|
|
Face Detection (HP)
|
100% |
14938
177.5 IPS |
|
|
Face Detection (Q)
|
97% |
9102
108.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
26630
205.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
48768
375.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
19620
156.7 IPS |
|
|
Style Transfer (SP)
|
100% |
91591
117.7 IPS |
|
|
Style Transfer (HP)
|
100% |
203964
262.2 IPS |
|
|
Style Transfer (Q)
|
98% |
75431
97.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14901
550.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24141
891.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9833
364.1 IPS |
|
|
Text Classification (SP)
|
100% |
1663
2.22 KIPS |
|
|
Text Classification (HP)
|
99% |
2654
3.54 KIPS |
|
|
Text Classification (Q)
|
97% |
855
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1717
29.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1713
29.5 IPS |
|
|
Machine Translation (Q)
|
70% |
969
18.2 IPS |