| Upload Date | October 29 2025 01:01 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21RRS04B01 |
| Motherboard | LENOVO 21RRS04B01 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265HX |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3489
648.9 IPS |
|
|
Image Classification (HP)
|
100% |
5162
959.9 IPS |
|
|
Image Classification (Q)
|
100% |
7582
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3052
49.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7556
122.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10751
174.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11361
13.3 IPS |
|
|
Pose Estimation (HP)
|
99% |
10542
12.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
36154
42.3 IPS |
|
|
Object Detection (SP)
|
100% |
3237
256.8 IPS |
|
|
Object Detection (HP)
|
100% |
5447
432.0 IPS |
|
|
Object Detection (Q)
|
88% |
8843
708.6 IPS |
|
|
Face Detection (SP)
|
100% |
6326
75.2 IPS |
|
|
Face Detection (HP)
|
100% |
13040
154.9 IPS |
|
|
Face Detection (Q)
|
100% |
21941
260.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11411
87.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
20682
159.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
24748
192.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27330
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38752
49.8 IPS |
|
|
Style Transfer (Q)
|
98% |
84411
108.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4909
181.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8905
328.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14396
533.1 IPS |
|
|
Text Classification (SP)
|
71% |
1497
2.17 KIPS |
|
|
Text Classification (HP)
|
71% |
2316
3.35 KIPS |
|
|
Text Classification (Q)
|
92% |
2357
3.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1690
29.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3341
57.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3354
58.0 IPS |