| User | hsvadmin |
| Upload Date | January 08 2026 06:28 PM |
| Views | 3 |
| Notes | LENOVO 21NS00MMGE |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21NS00MMGE |
| Motherboard | LENOVO 21NS00MMGE |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core 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% |
2705
503.0 IPS |
|
|
Image Classification (HP)
|
100% |
4233
787.2 IPS |
|
|
Image Classification (Q)
|
100% |
2808
522.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
6937
112.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
13808
223.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5159
83.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12127
14.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
31262
36.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
10742
12.6 IPS |
|
|
Object Detection (SP)
|
100% |
4653
369.1 IPS |
|
|
Object Detection (HP)
|
100% |
7760
615.5 IPS |
|
|
Object Detection (Q)
|
88% |
3794
304.3 IPS |
|
|
Face Detection (SP)
|
100% |
9508
113.0 IPS |
|
|
Face Detection (HP)
|
100% |
18544
220.3 IPS |
|
|
Face Detection (Q)
|
97% |
6367
75.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
18702
144.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
38383
295.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
13221
105.6 IPS |
|
|
Style Transfer (SP)
|
100% |
47198
60.7 IPS |
|
|
Style Transfer (HP)
|
100% |
172195
221.4 IPS |
|
|
Style Transfer (Q)
|
98% |
36537
47.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8320
307.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15017
554.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4981
184.4 IPS |
|
|
Text Classification (SP)
|
100% |
810
1.08 KIPS |
|
|
Text Classification (HP)
|
100% |
1295
1.73 KIPS |
|
|
Text Classification (Q)
|
97% |
676
905.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2827
48.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3090
53.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1215
22.8 IPS |