| User | Geeooff |
| Upload Date | June 12 2025 10:31 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140T GPU (32GB) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. NUC15CRSU9 |
| Motherboard | ASUSTeK COMPUTER INC. NUC15CRSU9 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4424
822.8 IPS |
|
|
Image Classification (HP)
|
100% |
4398
818.0 IPS |
|
|
Image Classification (Q)
|
99% |
3424
638.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
5504
89.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8137
131.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3721
60.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18603
21.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
26025
30.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
15715
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
5342
423.7 IPS |
|
|
Object Detection (HP)
|
100% |
5472
434.0 IPS |
|
|
Object Detection (Q)
|
84% |
3399
274.4 IPS |
|
|
Face Detection (SP)
|
100% |
7311
86.9 IPS |
|
|
Face Detection (HP)
|
100% |
10719
127.4 IPS |
|
|
Face Detection (Q)
|
97% |
5250
62.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
16612
128.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
20434
157.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
12327
98.7 IPS |
|
|
Style Transfer (SP)
|
100% |
50783
65.3 IPS |
|
|
Style Transfer (HP)
|
100% |
64723
83.2 IPS |
|
|
Style Transfer (Q)
|
98% |
36413
47.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8710
321.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11203
413.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5437
201.3 IPS |
|
|
Text Classification (SP)
|
100% |
1501
2.00 KIPS |
|
|
Text Classification (HP)
|
100% |
1428
1.91 KIPS |
|
|
Text Classification (Q)
|
97% |
839
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2553
44.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2198
37.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1065
20.0 IPS |