| Upload Date | November 12 2025 12:45 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Intel(R) Client Systems NUC12DCMi9 |
| Motherboard | Intel Corporation NUC12EDBi9 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900 |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6721
1.25 KIPS |
|
|
Image Classification (HP)
|
99% |
10458
1.95 KIPS |
|
|
Image Classification (Q)
|
100% |
4872
906.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
11576
187.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18293
296.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
9324
151.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
90046
105.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
255848
298.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
72285
84.7 IPS |
|
|
Object Detection (SP)
|
100% |
8221
652.1 IPS |
|
|
Object Detection (HP)
|
100% |
13790
1.09 KIPS |
|
|
Object Detection (Q)
|
85% |
6218
500.6 IPS |
|
|
Face Detection (SP)
|
100% |
20662
245.5 IPS |
|
|
Face Detection (HP)
|
100% |
33616
399.4 IPS |
|
|
Face Detection (Q)
|
97% |
16165
192.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
39431
303.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
77248
595.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
26483
212.0 IPS |
|
|
Style Transfer (SP)
|
100% |
146863
188.8 IPS |
|
|
Style Transfer (HP)
|
100% |
369380
474.8 IPS |
|
|
Style Transfer (Q)
|
98% |
116593
150.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26879
992.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36046
1.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16002
592.5 IPS |
|
|
Text Classification (SP)
|
100% |
2544
3.40 KIPS |
|
|
Text Classification (HP)
|
99% |
3808
5.08 KIPS |
|
|
Text Classification (Q)
|
97% |
1070
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3935
67.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4003
68.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1333
25.0 IPS |