| Upload Date | November 09 2025 06:59 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140V GPU (8GB) (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83HM |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 256V |
| 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 | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7042
1.31 KIPS |
|
|
Image Classification (HP)
|
100% |
14430
2.68 KIPS |
|
|
Image Classification (Q)
|
100% |
17315
3.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8520
138.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22939
371.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
26092
423.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
17695
20.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
113802
132.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
225310
263.8 IPS |
|
|
Object Detection (SP)
|
100% |
5691
451.4 IPS |
|
|
Object Detection (HP)
|
100% |
13101
1.04 KIPS |
|
|
Object Detection (Q)
|
88% |
12534
1.00 KIPS |
|
|
Face Detection (SP)
|
100% |
11181
132.9 IPS |
|
|
Face Detection (HP)
|
100% |
26244
311.8 IPS |
|
|
Face Detection (Q)
|
100% |
39833
473.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
20596
158.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
53769
414.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
66818
519.6 IPS |
|
|
Style Transfer (SP)
|
100% |
51846
66.6 IPS |
|
|
Style Transfer (HP)
|
100% |
143614
184.6 IPS |
|
|
Style Transfer (Q)
|
98% |
167434
215.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9326
344.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27107
1.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33515
1.24 KIPS |
|
|
Text Classification (SP)
|
100% |
4156
5.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4597
6.14 KIPS |
|
|
Text Classification (Q)
|
92% |
2885
3.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
2408
41.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3589
62.0 IPS |
|
|
Machine Translation (Q)
|
100% |
6195
106.7 IPS |