| Upload Date | April 21 2025 07:30 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (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% |
3850
715.9 IPS |
|
|
Image Classification (HP)
|
100% |
5919
1.10 KIPS |
|
|
Image Classification (Q)
|
100% |
7863
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3718
60.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8787
142.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
12029
195.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11147
13.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
10503
12.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
34542
40.4 IPS |
|
|
Object Detection (SP)
|
100% |
3560
282.4 IPS |
|
|
Object Detection (HP)
|
100% |
5639
447.3 IPS |
|
|
Object Detection (Q)
|
88% |
9102
729.4 IPS |
|
|
Face Detection (SP)
|
100% |
7918
94.1 IPS |
|
|
Face Detection (HP)
|
100% |
15130
179.8 IPS |
|
|
Face Detection (Q)
|
100% |
23053
273.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11297
87.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
21550
166.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
24511
190.5 IPS |
|
|
Style Transfer (SP)
|
100% |
28191
36.2 IPS |
|
|
Style Transfer (HP)
|
100% |
39941
51.3 IPS |
|
|
Style Transfer (Q)
|
98% |
80774
104.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5104
188.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9105
336.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14348
531.4 IPS |
|
|
Text Classification (SP)
|
71% |
1548
2.24 KIPS |
|
|
Text Classification (HP)
|
71% |
2312
3.34 KIPS |
|
|
Text Classification (Q)
|
92% |
2573
3.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
2188
37.7 IPS |
|
|
Machine Translation (HP)
|
96% |
3169
54.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3183
54.8 IPS |