| User | restuff |
| Upload Date | January 06 2026 07:55 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. Stealth 18 HX AI A2XWJG |
| Motherboard | Micro-Star International Co., Ltd. MS-1833 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 275HX |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3962
736.7 IPS |
|
|
Image Classification (HP)
|
100% |
6048
1.12 KIPS |
|
|
Image Classification (Q)
|
100% |
8043
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3959
64.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8956
145.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
11610
188.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11572
13.5 IPS |
|
|
Pose Estimation (HP)
|
99% |
10819
12.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
36520
42.8 IPS |
|
|
Object Detection (SP)
|
100% |
3663
290.6 IPS |
|
|
Object Detection (HP)
|
100% |
5919
469.5 IPS |
|
|
Object Detection (Q)
|
88% |
9247
741.0 IPS |
|
|
Face Detection (SP)
|
100% |
8180
97.2 IPS |
|
|
Face Detection (HP)
|
100% |
16096
191.3 IPS |
|
|
Face Detection (Q)
|
100% |
25204
299.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12402
95.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
21827
168.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
25643
199.3 IPS |
|
|
Style Transfer (SP)
|
100% |
30085
38.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38559
49.6 IPS |
|
|
Style Transfer (Q)
|
98% |
88497
114.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5108
188.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9224
340.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15186
562.4 IPS |
|
|
Text Classification (SP)
|
71% |
1550
2.24 KIPS |
|
|
Text Classification (HP)
|
71% |
2701
3.91 KIPS |
|
|
Text Classification (Q)
|
92% |
2632
3.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
2693
46.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3793
65.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3784
65.4 IPS |