| User | oiskin |
| Upload Date | October 09 2025 01:24 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 21NS0010MZ |
| Motherboard | LENOVO 21NS0010MZ |
| Power Plan | Balanced |
| 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% |
4518
840.2 IPS |
|
|
Image Classification (HP)
|
100% |
6548
1.22 KIPS |
|
|
Image Classification (Q)
|
100% |
3548
659.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
7274
117.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
14486
234.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5082
82.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15586
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
102497
119.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
14430
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
5497
436.0 IPS |
|
|
Object Detection (HP)
|
100% |
9734
772.1 IPS |
|
|
Object Detection (Q)
|
88% |
4407
353.4 IPS |
|
|
Face Detection (SP)
|
100% |
9972
118.5 IPS |
|
|
Face Detection (HP)
|
100% |
18940
225.1 IPS |
|
|
Face Detection (Q)
|
97% |
7195
85.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
20833
160.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
44043
339.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
13827
110.5 IPS |
|
|
Style Transfer (SP)
|
100% |
52818
67.9 IPS |
|
|
Style Transfer (HP)
|
100% |
185431
238.4 IPS |
|
|
Style Transfer (Q)
|
98% |
33220
42.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9545
352.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20507
757.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5807
215.0 IPS |
|
|
Text Classification (SP)
|
100% |
1349
1.80 KIPS |
|
|
Text Classification (HP)
|
100% |
1655
2.21 KIPS |
|
|
Text Classification (Q)
|
97% |
814
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3433
59.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2824
48.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1302
24.4 IPS |