User | wodkane |
Upload Date | August 25 2025 02:52 PM |
Views | 7 |
AI Information | |
---|---|
Framework | OpenVINO |
Backend | NPU |
Device | Intel(R) AI Boost |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | LENOVO 83KY |
Motherboard | LENOVO LNVNB161216 |
Power Plan | Equilibrado |
CPU Information | |
---|---|
Name | Intel(R) Core(TM) Ultra 9 275HX |
Topology | 1 Processor, 24 Cores |
Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
Base Frequency | 2.70 GHz |
Cluster 1 | 8 Cores |
Cluster 2 | 16 Cores |
Memory Information | |
---|---|
Size | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
5386
1.00 KIPS |
|
Image Classification (HP)
|
100% |
7321
1.36 KIPS |
|
Image Classification (Q)
|
100% |
10257
1.91 KIPS |
|
Image Segmentation (SP)
|
100% |
7574
122.8 IPS |
|
Image Segmentation (HP)
|
100% |
2956
47.9 IPS |
|
Image Segmentation (Q)
|
99% |
4005
64.9 IPS |
|
Pose Estimation (SP)
|
100% |
13207
15.4 IPS |
|
Pose Estimation (HP)
|
100% |
34436
40.2 IPS |
|
Pose Estimation (Q)
|
96% |
75622
88.6 IPS |
|
Object Detection (SP)
|
100% |
5281
418.9 IPS |
|
Object Detection (HP)
|
100% |
6205
492.2 IPS |
|
Object Detection (Q)
|
87% |
10366
831.9 IPS |
|
Face Detection (SP)
|
100% |
15085
179.2 IPS |
|
Face Detection (HP)
|
100% |
17398
206.7 IPS |
|
Face Detection (Q)
|
100% |
29452
350.0 IPS |
|
Depth Estimation (SP)
|
100% |
13284
102.3 IPS |
|
Depth Estimation (HP)
|
99% |
19263
148.4 IPS |
|
Depth Estimation (Q)
|
88% |
35781
278.4 IPS |
|
Style Transfer (SP)
|
100% |
27292
35.1 IPS |
|
Style Transfer (HP)
|
100% |
53718
69.1 IPS |
|
Style Transfer (Q)
|
98% |
98587
127.1 IPS |
|
Image Super-Resolution (SP)
|
100% |
7967
294.2 IPS |
|
Image Super-Resolution (HP)
|
100% |
14446
533.4 IPS |
|
Image Super-Resolution (Q)
|
99% |
26233
971.5 IPS |
|
Text Classification (SP)
|
100% |
3812
5.09 KIPS |
|
Text Classification (HP)
|
100% |
2189
2.92 KIPS |
|
Text Classification (Q)
|
92% |
2217
2.98 KIPS |
|
Machine Translation (SP)
|
100% |
3226
55.6 IPS |
|
Machine Translation (HP)
|
100% |
4557
78.5 IPS |
|
Machine Translation (Q)
|
100% |
4618
79.5 IPS |