| User | wodkane |
| Upload Date | August 25 2025 02:52 PM |
| Views | 9 |
| 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 |