| User | springkim |
| Upload Date | October 19 2025 07:37 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 288V |
| 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% |
1566
291.3 IPS |
|
|
Image Classification (HP)
|
100% |
1211
225.2 IPS |
|
|
Image Classification (Q)
|
100% |
4342
807.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1878
30.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
970
15.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4483
72.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3225
3.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
1855
2.16 IPS |
|
|
Pose Estimation (Q)
|
96% |
11888
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1721
136.5 IPS |
|
|
Object Detection (HP)
|
100% |
1278
101.4 IPS |
|
|
Object Detection (Q)
|
88% |
5029
403.2 IPS |
|
|
Face Detection (SP)
|
100% |
4815
57.2 IPS |
|
|
Face Detection (HP)
|
100% |
3979
47.3 IPS |
|
|
Face Detection (Q)
|
100% |
5108
60.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3238
24.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2903
22.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
12126
94.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8649
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
5887
7.57 IPS |
|
|
Style Transfer (Q)
|
98% |
34313
44.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1892
69.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1362
50.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7097
262.8 IPS |
|
|
Text Classification (SP)
|
100% |
2127
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
1392
1.86 KIPS |
|
|
Text Classification (Q)
|
92% |
4394
5.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
2391
41.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2547
43.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2437
42.0 IPS |