| User | nithinmohantk |
| Upload Date | March 02 2026 02:06 PM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9060 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Dell Pro Max 16 Plus MB16250 |
| Motherboard | Dell Inc. 05PR76 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265HX |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6682
1.24 KIPS |
|
|
Image Classification (HP)
|
100% |
7842
1.46 KIPS |
|
|
Image Classification (Q)
|
100% |
6261
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7836
127.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8865
143.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
9428
153.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
118523
138.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
320590
374.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
99489
116.5 IPS |
|
|
Object Detection (SP)
|
100% |
7610
603.6 IPS |
|
|
Object Detection (HP)
|
99% |
9165
727.0 IPS |
|
|
Object Detection (Q)
|
87% |
6880
552.5 IPS |
|
|
Face Detection (SP)
|
100% |
20476
243.3 IPS |
|
|
Face Detection (HP)
|
100% |
25826
306.9 IPS |
|
|
Face Detection (Q)
|
97% |
17718
211.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
50985
392.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
63351
488.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
37941
304.3 IPS |
|
|
Style Transfer (SP)
|
100% |
206478
265.4 IPS |
|
|
Style Transfer (HP)
|
100% |
356129
457.8 IPS |
|
|
Style Transfer (Q)
|
98% |
171370
221.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26337
972.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41586
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20594
762.6 IPS |
|
|
Text Classification (SP)
|
100% |
1947
2.60 KIPS |
|
|
Text Classification (HP)
|
100% |
2168
2.89 KIPS |
|
|
Text Classification (Q)
|
97% |
1369
1.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
2953
50.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2988
51.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1456
27.3 IPS |