| Upload Date | October 24 2025 01:27 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% |
4224
785.5 IPS |
|
|
Image Classification (HP)
|
100% |
6034
1.12 KIPS |
|
|
Image Classification (Q)
|
99% |
3330
621.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
5232
84.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6457
104.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4539
73.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
51231
59.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
137990
161.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
43741
51.3 IPS |
|
|
Object Detection (SP)
|
100% |
4900
388.7 IPS |
|
|
Object Detection (HP)
|
100% |
7150
567.1 IPS |
|
|
Object Detection (Q)
|
84% |
3992
322.0 IPS |
|
|
Face Detection (SP)
|
100% |
10731
127.5 IPS |
|
|
Face Detection (HP)
|
100% |
15365
182.6 IPS |
|
|
Face Detection (Q)
|
97% |
9144
109.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
26798
206.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
49042
377.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
19626
156.8 IPS |
|
|
Style Transfer (SP)
|
100% |
92616
119.1 IPS |
|
|
Style Transfer (HP)
|
100% |
206728
265.8 IPS |
|
|
Style Transfer (Q)
|
98% |
75027
96.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14967
552.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24902
919.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10020
371.0 IPS |
|
|
Text Classification (SP)
|
100% |
1626
2.17 KIPS |
|
|
Text Classification (HP)
|
99% |
2617
3.49 KIPS |
|
|
Text Classification (Q)
|
97% |
921
1.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1715
29.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1725
29.7 IPS |
|
|
Machine Translation (Q)
|
70% |
970
18.2 IPS |