| User | jruhe |
| Upload Date | September 29 2025 03:24 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. NUC14LNK |
| Motherboard | ASUSTeK COMPUTER INC. NUC14LNK |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 258V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2893
538.1 IPS |
|
|
Image Classification (HP)
|
100% |
4292
798.1 IPS |
|
|
Image Classification (Q)
|
100% |
2480
461.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
6751
109.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
13567
219.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5060
82.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
21215
24.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
85626
99.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
18166
21.3 IPS |
|
|
Object Detection (SP)
|
100% |
4705
373.2 IPS |
|
|
Object Detection (HP)
|
100% |
8164
647.6 IPS |
|
|
Object Detection (Q)
|
88% |
3799
304.7 IPS |
|
|
Face Detection (SP)
|
100% |
9379
111.4 IPS |
|
|
Face Detection (HP)
|
100% |
16703
198.5 IPS |
|
|
Face Detection (Q)
|
97% |
6534
77.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
18826
145.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
37946
292.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
13485
107.7 IPS |
|
|
Style Transfer (SP)
|
100% |
50571
65.0 IPS |
|
|
Style Transfer (HP)
|
100% |
161371
207.4 IPS |
|
|
Style Transfer (Q)
|
98% |
36970
47.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8562
316.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15362
567.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5073
187.9 IPS |
|
|
Text Classification (SP)
|
100% |
1159
1.55 KIPS |
|
|
Text Classification (HP)
|
100% |
1620
2.16 KIPS |
|
|
Text Classification (Q)
|
97% |
660
883.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2985
51.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2547
43.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1160
21.8 IPS |