| User | awkh1982 |
| Upload Date | May 16 2025 05:49 AM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix SCAR 18 G835LW_G835LW |
| Motherboard | ASUSTeK COMPUTER INC. G835LW |
| Power Plan | Performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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 | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4800
892.6 IPS |
|
|
Image Classification (HP)
|
100% |
6691
1.24 KIPS |
|
|
Image Classification (Q)
|
100% |
9433
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7128
115.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2724
44.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3537
57.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10606
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
34233
39.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
74355
87.1 IPS |
|
|
Object Detection (SP)
|
100% |
4357
345.6 IPS |
|
|
Object Detection (HP)
|
100% |
5621
445.8 IPS |
|
|
Object Detection (Q)
|
87% |
9306
746.9 IPS |
|
|
Face Detection (SP)
|
100% |
12450
147.9 IPS |
|
|
Face Detection (HP)
|
100% |
15899
188.9 IPS |
|
|
Face Detection (Q)
|
100% |
31209
370.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12338
95.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
15439
118.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
29280
227.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25424
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
46757
60.1 IPS |
|
|
Style Transfer (Q)
|
98% |
84541
109.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6388
235.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13448
496.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22492
833.0 IPS |
|
|
Text Classification (SP)
|
100% |
3674
4.90 KIPS |
|
|
Text Classification (HP)
|
100% |
1976
2.64 KIPS |
|
|
Text Classification (Q)
|
92% |
2000
2.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
3374
58.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3974
68.5 IPS |
|
|
Machine Translation (Q)
|
100% |
4067
70.1 IPS |