User | danilonc |
Upload Date | June 27 2025 07:49 PM |
Views | 7 |
AI Information | |
---|---|
Framework | OpenVINO |
Backend | CPU |
Device | Intel(R) Core(TM) Ultra 7 268V |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Enterprise (64-bit) |
Model | Microsoft Corporation Surface Laptop for Business 7th Edition with Intel |
Motherboard | Microsoft Corporation Surface Laptop for Business 7th Edition with Intel |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | Intel(R) Core(TM) Ultra 7 268V |
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 | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
1896
352.6 IPS |
|
Image Classification (HP)
|
100% |
1366
254.0 IPS |
|
Image Classification (Q)
|
100% |
5306
986.7 IPS |
|
Image Segmentation (SP)
|
100% |
2175
35.3 IPS |
|
Image Segmentation (HP)
|
100% |
1136
18.4 IPS |
|
Image Segmentation (Q)
|
99% |
5095
82.6 IPS |
|
Pose Estimation (SP)
|
100% |
3446
4.02 IPS |
|
Pose Estimation (HP)
|
100% |
2280
2.66 IPS |
|
Pose Estimation (Q)
|
96% |
13186
15.4 IPS |
|
Object Detection (SP)
|
100% |
1879
149.0 IPS |
|
Object Detection (HP)
|
100% |
1315
104.3 IPS |
|
Object Detection (Q)
|
88% |
5478
439.1 IPS |
|
Face Detection (SP)
|
100% |
5761
68.5 IPS |
|
Face Detection (HP)
|
100% |
4349
51.7 IPS |
|
Face Detection (Q)
|
100% |
13705
162.9 IPS |
|
Depth Estimation (SP)
|
100% |
4792
36.9 IPS |
|
Depth Estimation (HP)
|
99% |
3278
25.3 IPS |
|
Depth Estimation (Q)
|
89% |
14590
113.4 IPS |
|
Style Transfer (SP)
|
100% |
10314
13.3 IPS |
|
Style Transfer (HP)
|
100% |
6638
8.53 IPS |
|
Style Transfer (Q)
|
98% |
37480
48.3 IPS |
|
Image Super-Resolution (SP)
|
100% |
2156
79.6 IPS |
|
Image Super-Resolution (HP)
|
100% |
1477
54.6 IPS |
|
Image Super-Resolution (Q)
|
99% |
7786
288.4 IPS |
|
Text Classification (SP)
|
100% |
2167
2.89 KIPS |
|
Text Classification (HP)
|
100% |
1440
1.92 KIPS |
|
Text Classification (Q)
|
92% |
4393
5.90 KIPS |
|
Machine Translation (SP)
|
100% |
3654
62.9 IPS |
|
Machine Translation (HP)
|
100% |
2869
49.4 IPS |
|
Machine Translation (Q)
|
100% |
3613
62.2 IPS |