User | Lucky_n00b |
Upload Date | March 14 2025 10:47 PM |
Views | 6 |
AI Information | |
---|---|
Framework | OpenVINO |
Backend | NPU |
Device | Intel(R) AI Boost |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | Micro-Star International Co., Ltd. Prestige 16 AI Evo B2HMG |
Motherboard | Micro-Star International Co., Ltd. MS-15A1 |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | Intel(R) Core(TM) Ultra 9 285H |
Topology | 1 Processor, 16 Cores |
Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
Base Frequency | 2.90 GHz |
Cluster 1 | 6 Cores |
Cluster 2 | 10 Cores |
Memory Information | |
---|---|
Size | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
2897
538.8 IPS |
|
Image Classification (HP)
|
100% |
5452
1.01 KIPS |
|
Image Classification (Q)
|
100% |
6989
1.30 KIPS |
|
Image Segmentation (SP)
|
100% |
3240
52.5 IPS |
|
Image Segmentation (HP)
|
100% |
2467
40.0 IPS |
|
Image Segmentation (Q)
|
99% |
3067
49.7 IPS |
|
Pose Estimation (SP)
|
100% |
6665
7.78 IPS |
|
Pose Estimation (HP)
|
100% |
32212
37.6 IPS |
|
Pose Estimation (Q)
|
96% |
70063
82.1 IPS |
|
Object Detection (SP)
|
100% |
2313
183.5 IPS |
|
Object Detection (HP)
|
100% |
4977
394.8 IPS |
|
Object Detection (Q)
|
87% |
7210
578.7 IPS |
|
Face Detection (SP)
|
100% |
7820
92.9 IPS |
|
Face Detection (HP)
|
100% |
12684
150.7 IPS |
|
Face Detection (Q)
|
100% |
21269
252.7 IPS |
|
Depth Estimation (SP)
|
100% |
6678
51.5 IPS |
|
Depth Estimation (HP)
|
99% |
17376
133.9 IPS |
|
Depth Estimation (Q)
|
88% |
32673
254.2 IPS |
|
Style Transfer (SP)
|
100% |
18222
23.4 IPS |
|
Style Transfer (HP)
|
100% |
50335
64.7 IPS |
|
Style Transfer (Q)
|
98% |
87838
113.3 IPS |
|
Image Super-Resolution (SP)
|
100% |
3402
125.6 IPS |
|
Image Super-Resolution (HP)
|
100% |
12859
474.8 IPS |
|
Image Super-Resolution (Q)
|
99% |
20217
748.7 IPS |
|
Text Classification (SP)
|
100% |
2701
3.60 KIPS |
|
Text Classification (HP)
|
100% |
1746
2.33 KIPS |
|
Text Classification (Q)
|
92% |
1667
2.24 KIPS |
|
Machine Translation (SP)
|
100% |
2049
35.3 IPS |
|
Machine Translation (HP)
|
100% |
2599
44.8 IPS |
|
Machine Translation (Q)
|
100% |
2679
46.1 IPS |