| User | AdamOp |
| Upload Date | November 12 2025 01:55 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 225T |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteDesk 8 Mini G1i Desktop AI PC |
| Motherboard | HP 8D15 |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 225T |
| Topology | 1 Processor, 10 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2612
485.7 IPS |
|
|
Image Classification (HP)
|
100% |
2012
374.1 IPS |
|
|
Image Classification (Q)
|
100% |
7003
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3133
50.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1525
24.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
6372
103.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4979
5.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
3489
4.07 IPS |
|
|
Pose Estimation (Q)
|
96% |
19435
22.8 IPS |
|
|
Object Detection (SP)
|
100% |
2464
195.5 IPS |
|
|
Object Detection (HP)
|
100% |
1874
148.7 IPS |
|
|
Object Detection (Q)
|
88% |
7620
610.8 IPS |
|
|
Face Detection (SP)
|
100% |
5939
70.6 IPS |
|
|
Face Detection (HP)
|
100% |
5994
71.2 IPS |
|
|
Face Detection (Q)
|
100% |
19271
229.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6354
48.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4625
35.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
19041
148.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14780
19.0 IPS |
|
|
Style Transfer (HP)
|
100% |
9991
12.8 IPS |
|
|
Style Transfer (Q)
|
98% |
55952
72.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3149
116.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2253
83.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11302
418.6 IPS |
|
|
Text Classification (SP)
|
100% |
2765
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
1889
2.52 KIPS |
|
|
Text Classification (Q)
|
92% |
4558
6.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3882
66.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3689
63.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3800
65.5 IPS |