| User | springkim |
| Upload Date | October 20 2025 06:13 AM |
| Views | 2 |
| 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 13 AI+ Ukiyoe Edition A2VMG |
| Motherboard | Micro-Star International Co., Ltd. MS-13Q3 |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 288V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1559
289.9 IPS |
|
|
Image Classification (HP)
|
100% |
10111
1.88 KIPS |
|
|
Image Classification (Q)
|
100% |
15715
2.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1816
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
15789
255.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
31511
510.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2808
3.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
97370
113.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
203043
237.8 IPS |
|
|
Object Detection (SP)
|
100% |
1204
95.5 IPS |
|
|
Object Detection (HP)
|
100% |
15762
1.25 KIPS |
|
|
Object Detection (Q)
|
87% |
22909
1.84 KIPS |
|
|
Face Detection (SP)
|
100% |
4789
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
24777
294.4 IPS |
|
|
Face Detection (Q)
|
100% |
54670
649.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3871
29.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
66908
515.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
108021
840.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8548
11.0 IPS |
|
|
Style Transfer (HP)
|
100% |
198148
254.7 IPS |
|
|
Style Transfer (Q)
|
98% |
294059
379.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1345
49.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31797
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57911
2.14 KIPS |
|
|
Text Classification (SP)
|
100% |
1948
2.60 KIPS |
|
|
Text Classification (HP)
|
100% |
2483
3.31 KIPS |
|
|
Text Classification (Q)
|
92% |
2355
3.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2448
42.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3913
67.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3891
67.0 IPS |