| Upload Date | December 15 2025 05:47 AM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140T GPU (12GB) (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83JK |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 255H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7195
1.34 KIPS |
|
|
Image Classification (HP)
|
100% |
13301
2.47 KIPS |
|
|
Image Classification (Q)
|
100% |
17545
3.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9664
156.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
23186
375.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
28218
457.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
24833
29.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
102312
119.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
188140
220.3 IPS |
|
|
Object Detection (SP)
|
100% |
6910
548.1 IPS |
|
|
Object Detection (HP)
|
100% |
15272
1.21 KIPS |
|
|
Object Detection (Q)
|
88% |
18916
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
14221
169.0 IPS |
|
|
Face Detection (HP)
|
100% |
30198
358.8 IPS |
|
|
Face Detection (Q)
|
100% |
41552
493.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
23314
179.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
52802
406.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
70077
544.7 IPS |
|
|
Style Transfer (SP)
|
100% |
62420
80.2 IPS |
|
|
Style Transfer (HP)
|
100% |
173432
222.9 IPS |
|
|
Style Transfer (Q)
|
98% |
266790
344.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10191
376.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31832
1.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39284
1.45 KIPS |
|
|
Text Classification (SP)
|
100% |
3084
4.12 KIPS |
|
|
Text Classification (HP)
|
100% |
4260
5.69 KIPS |
|
|
Text Classification (Q)
|
92% |
3107
4.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3283
56.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6453
111.5 IPS |
|
|
Machine Translation (Q)
|
100% |
6534
112.6 IPS |