| Upload Date | March 13 2026 07:19 PM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) A750 Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt B760-CREATOR WIFI |
| Power Plan | Ultimative Leistung |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5803
1.08 KIPS |
|
|
Image Classification (HP)
|
100% |
5602
1.04 KIPS |
|
|
Image Classification (Q)
|
99% |
4774
890.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
8466
137.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
14784
239.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
7529
122.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
69834
81.5 IPS |
|
|
Pose Estimation (HP)
|
99% |
76126
88.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
56370
66.1 IPS |
|
|
Object Detection (SP)
|
100% |
7117
564.5 IPS |
|
|
Object Detection (HP)
|
99% |
7368
586.1 IPS |
|
|
Object Detection (Q)
|
85% |
5913
475.9 IPS |
|
|
Face Detection (SP)
|
100% |
19162
227.7 IPS |
|
|
Face Detection (HP)
|
100% |
19959
237.2 IPS |
|
|
Face Detection (Q)
|
97% |
14923
178.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
29392
226.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
27709
214.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
22021
176.3 IPS |
|
|
Style Transfer (SP)
|
100% |
163434
210.1 IPS |
|
|
Style Transfer (HP)
|
100% |
147311
189.4 IPS |
|
|
Style Transfer (Q)
|
98% |
121370
156.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17148
633.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23503
867.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11660
431.7 IPS |
|
|
Text Classification (SP)
|
86% |
863
1.17 KIPS |
|
|
Text Classification (HP)
|
100% |
581
774.9 IPS |
|
|
Text Classification (Q)
|
84% |
630
855.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2933
50.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2476
42.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1351
25.3 IPS |