| User | CalledLuca |
| Upload Date | October 11 2025 03:36 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83HM |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Bilanciato |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 258V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3572
664.3 IPS |
|
|
Image Classification (HP)
|
100% |
4310
801.5 IPS |
|
|
Image Classification (Q)
|
100% |
3156
586.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
6252
101.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
13146
213.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4696
76.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10528
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
29597
34.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
10684
12.5 IPS |
|
|
Object Detection (SP)
|
100% |
5162
409.4 IPS |
|
|
Object Detection (HP)
|
100% |
9542
756.9 IPS |
|
|
Object Detection (Q)
|
88% |
3759
301.4 IPS |
|
|
Face Detection (SP)
|
100% |
9292
110.4 IPS |
|
|
Face Detection (HP)
|
100% |
19258
228.8 IPS |
|
|
Face Detection (Q)
|
97% |
6989
83.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
17276
133.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
41226
317.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
12479
99.7 IPS |
|
|
Style Transfer (SP)
|
100% |
48238
62.0 IPS |
|
|
Style Transfer (HP)
|
100% |
168923
217.2 IPS |
|
|
Style Transfer (Q)
|
98% |
36281
46.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10019
369.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18007
664.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5097
188.7 IPS |
|
|
Text Classification (SP)
|
100% |
1217
1.62 KIPS |
|
|
Text Classification (HP)
|
100% |
1474
1.97 KIPS |
|
|
Text Classification (Q)
|
97% |
763
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3310
57.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3649
62.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1181
22.1 IPS |