| Upload Date | November 20 2025 07:54 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | CASPER BILGISAYAR SISTEMLERI NevoPRO NB |
| Motherboard | CASPER BILGISAYAR SISTEMLERI P40 001 |
| Power Plan | Dengeli |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1848
343.7 IPS |
|
|
Image Classification (HP)
|
100% |
6901
1.28 KIPS |
|
|
Image Classification (Q)
|
100% |
9473
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2901
47.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2813
45.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3541
57.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5277
6.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
34974
40.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
75672
88.6 IPS |
|
|
Object Detection (SP)
|
100% |
1887
149.6 IPS |
|
|
Object Detection (HP)
|
100% |
6120
485.5 IPS |
|
|
Object Detection (Q)
|
87% |
9834
789.3 IPS |
|
|
Face Detection (SP)
|
100% |
6154
73.1 IPS |
|
|
Face Detection (HP)
|
100% |
17398
206.7 IPS |
|
|
Face Detection (Q)
|
100% |
33255
395.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5632
43.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
18337
141.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
33961
264.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15395
19.8 IPS |
|
|
Style Transfer (HP)
|
100% |
53613
68.9 IPS |
|
|
Style Transfer (Q)
|
98% |
96506
124.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2670
98.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14387
531.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24184
895.6 IPS |
|
|
Text Classification (SP)
|
100% |
1890
2.52 KIPS |
|
|
Text Classification (HP)
|
100% |
2101
2.80 KIPS |
|
|
Text Classification (Q)
|
92% |
2052
2.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
2461
42.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4234
72.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3837
66.1 IPS |