| User | ShowXTech |
| Upload Date | January 11 2026 01:26 PM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140T GPU (48GB) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | AZW GTi15 |
| Motherboard | AZW GTi15 |
| Power Plan | High Performance Mode |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 285H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4616
858.4 IPS |
|
|
Image Classification (HP)
|
100% |
4893
910.0 IPS |
|
|
Image Classification (Q)
|
99% |
3363
627.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
5306
86.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8397
136.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3450
56.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13912
16.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
19880
23.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
11961
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
5121
406.2 IPS |
|
|
Object Detection (HP)
|
100% |
5729
454.4 IPS |
|
|
Object Detection (Q)
|
84% |
3709
299.4 IPS |
|
|
Face Detection (SP)
|
100% |
7365
87.5 IPS |
|
|
Face Detection (HP)
|
100% |
11590
137.7 IPS |
|
|
Face Detection (Q)
|
97% |
5028
60.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
15786
121.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
23425
180.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
11428
91.5 IPS |
|
|
Style Transfer (SP)
|
100% |
47142
60.6 IPS |
|
|
Style Transfer (HP)
|
100% |
71565
92.0 IPS |
|
|
Style Transfer (Q)
|
98% |
32967
42.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8227
303.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11904
439.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5123
189.7 IPS |
|
|
Text Classification (SP)
|
100% |
1568
2.09 KIPS |
|
|
Text Classification (HP)
|
100% |
1480
1.98 KIPS |
|
|
Text Classification (Q)
|
97% |
878
1.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2771
47.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2670
46.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1252
23.5 IPS |