| User | TechnoCat |
| Upload Date | April 21 2025 03:34 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix SCAR 18 G835LX_G835LX |
| Motherboard | ASUSTeK COMPUTER INC. G835LX |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3161
587.8 IPS |
|
|
Image Classification (HP)
|
100% |
6929
1.29 KIPS |
|
|
Image Classification (Q)
|
100% |
9657
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4630
75.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2918
47.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3949
64.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8658
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
33823
39.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
73479
86.1 IPS |
|
|
Object Detection (SP)
|
100% |
2952
234.1 IPS |
|
|
Object Detection (HP)
|
100% |
6076
481.9 IPS |
|
|
Object Detection (Q)
|
87% |
9995
802.2 IPS |
|
|
Face Detection (SP)
|
100% |
9598
114.0 IPS |
|
|
Face Detection (HP)
|
100% |
16350
194.3 IPS |
|
|
Face Detection (Q)
|
100% |
28133
334.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8590
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
18649
143.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
34737
270.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19715
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
51236
65.9 IPS |
|
|
Style Transfer (Q)
|
98% |
94636
122.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5623
207.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14365
530.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25626
949.0 IPS |
|
|
Text Classification (SP)
|
100% |
2559
3.42 KIPS |
|
|
Text Classification (HP)
|
100% |
1978
2.64 KIPS |
|
|
Text Classification (Q)
|
92% |
1957
2.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
2367
40.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4384
75.5 IPS |
|
|
Machine Translation (Q)
|
100% |
4435
76.4 IPS |