| Upload Date | December 02 2025 08:11 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. NUC14RVH-B |
| Motherboard | ASUSTeK COMPUTER INC. NUC14RVB |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2600
483.6 IPS |
|
|
Image Classification (HP)
|
100% |
4904
911.9 IPS |
|
|
Image Classification (Q)
|
100% |
1948
362.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3190
51.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7796
126.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2559
41.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
14219
16.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
20119
23.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12175
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
2501
198.4 IPS |
|
|
Object Detection (HP)
|
99% |
5126
407.8 IPS |
|
|
Object Detection (Q)
|
86% |
2160
173.6 IPS |
|
|
Face Detection (SP)
|
100% |
4588
54.5 IPS |
|
|
Face Detection (HP)
|
100% |
8769
104.2 IPS |
|
|
Face Detection (Q)
|
97% |
3493
41.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10583
81.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
20908
161.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
8348
67.0 IPS |
|
|
Style Transfer (SP)
|
100% |
45691
58.7 IPS |
|
|
Style Transfer (HP)
|
100% |
73301
94.2 IPS |
|
|
Style Transfer (Q)
|
98% |
31821
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6978
257.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11843
437.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3965
146.8 IPS |
|
|
Text Classification (SP)
|
86% |
655
886.5 IPS |
|
|
Text Classification (HP)
|
99% |
680
907.3 IPS |
|
|
Text Classification (Q)
|
84% |
502
681.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2128
36.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2324
40.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1016
19.0 IPS |