| User | LorisBOX |
| Upload Date | August 18 2025 12:30 PM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A1000 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | Dell Inc. Dell Pro Max Tower T2 FCT2250 |
| Motherboard | Dell Inc. 0D8XDK |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265 |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3904
726.1 IPS |
|
|
Image Classification (HP)
|
99% |
8196
1.53 KIPS |
|
|
Image Classification (Q)
|
99% |
3232
602.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
6462
104.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
11474
186.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5113
83.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
34839
40.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
132260
154.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
29773
34.9 IPS |
|
|
Object Detection (SP)
|
100% |
4320
342.7 IPS |
|
|
Object Detection (HP)
|
100% |
10493
832.3 IPS |
|
|
Object Detection (Q)
|
84% |
3647
294.2 IPS |
|
|
Face Detection (SP)
|
100% |
10080
119.8 IPS |
|
|
Face Detection (HP)
|
100% |
19110
227.1 IPS |
|
|
Face Detection (Q)
|
97% |
8073
96.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
21396
164.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
46311
356.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
15294
122.6 IPS |
|
|
Style Transfer (SP)
|
100% |
62745
80.7 IPS |
|
|
Style Transfer (HP)
|
100% |
185689
238.7 IPS |
|
|
Style Transfer (Q)
|
98% |
52423
67.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14257
526.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26050
961.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8160
302.1 IPS |
|
|
Text Classification (SP)
|
100% |
2224
2.97 KIPS |
|
|
Text Classification (HP)
|
99% |
3316
4.43 KIPS |
|
|
Text Classification (Q)
|
97% |
1192
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3317
57.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3484
60.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1224
22.9 IPS |