| User | tocomcc |
| Upload Date | October 16 2025 03:44 AM |
| Views | 31 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Dell Slim ECS1250 |
| Motherboard | Dell Inc. 0VPR72 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 225 |
| Topology | 1 Processor, 10 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3136
583.2 IPS |
|
|
Image Classification (HP)
|
100% |
6889
1.28 KIPS |
|
|
Image Classification (Q)
|
100% |
10007
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3548
57.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2751
44.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3548
57.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5733
6.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
34380
40.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
73383
86.0 IPS |
|
|
Object Detection (SP)
|
100% |
2893
229.5 IPS |
|
|
Object Detection (HP)
|
100% |
5677
450.3 IPS |
|
|
Object Detection (Q)
|
87% |
9535
765.3 IPS |
|
|
Face Detection (SP)
|
100% |
7268
86.4 IPS |
|
|
Face Detection (HP)
|
100% |
14839
176.3 IPS |
|
|
Face Detection (Q)
|
100% |
30685
364.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7397
57.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
13400
103.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
25402
197.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17267
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
40826
52.5 IPS |
|
|
Style Transfer (Q)
|
98% |
77115
99.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3643
134.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13555
500.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22428
830.6 IPS |
|
|
Text Classification (SP)
|
100% |
3030
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
2193
2.93 KIPS |
|
|
Text Classification (Q)
|
92% |
2202
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
4471
77.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4044
69.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4105
70.7 IPS |