| User | SkyFall |
| Upload Date | November 07 2025 10:48 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | HP HP EliteDesk 8 Mini G1i Desktop AI PC |
| Motherboard | HP 8D15 |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265 |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4037
750.7 IPS |
|
|
Image Classification (HP)
|
100% |
6535
1.22 KIPS |
|
|
Image Classification (Q)
|
100% |
9385
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5236
84.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2733
44.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3760
60.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7682
8.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
32745
38.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
70170
82.2 IPS |
|
|
Object Detection (SP)
|
100% |
3613
286.6 IPS |
|
|
Object Detection (HP)
|
100% |
5183
411.1 IPS |
|
|
Object Detection (Q)
|
87% |
9216
739.7 IPS |
|
|
Face Detection (SP)
|
100% |
9522
113.1 IPS |
|
|
Face Detection (HP)
|
100% |
11999
142.6 IPS |
|
|
Face Detection (Q)
|
100% |
25714
305.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9310
71.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
12078
93.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
23016
179.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21428
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35211
45.3 IPS |
|
|
Style Transfer (Q)
|
98% |
69905
90.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4699
173.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12754
470.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21748
805.4 IPS |
|
|
Text Classification (SP)
|
100% |
3575
4.77 KIPS |
|
|
Text Classification (HP)
|
100% |
1950
2.60 KIPS |
|
|
Text Classification (Q)
|
92% |
1940
2.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
4848
83.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3870
66.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3938
67.8 IPS |