| User | hpirnaj |
| Upload Date | September 07 2025 04:12 AM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) 7 240H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Alienware Alienware 16 Aurora AC16250 |
| Motherboard | Alienware 0186KF |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 7 240H |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2977
553.6 IPS |
|
|
Image Classification (HP)
|
100% |
655
121.8 IPS |
|
|
Image Classification (Q)
|
99% |
6036
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1818
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1130
18.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
7982
129.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5843
6.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
4230
4.94 IPS |
|
|
Pose Estimation (Q)
|
94% |
20325
23.8 IPS |
|
|
Object Detection (SP)
|
100% |
2865
227.3 IPS |
|
|
Object Detection (HP)
|
100% |
847
67.2 IPS |
|
|
Object Detection (Q)
|
86% |
6474
520.3 IPS |
|
|
Face Detection (SP)
|
100% |
8113
96.4 IPS |
|
|
Face Detection (HP)
|
100% |
1842
21.9 IPS |
|
|
Face Detection (Q)
|
97% |
9388
111.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7765
59.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2351
18.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
14913
119.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14277
18.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10310
13.3 IPS |
|
|
Style Transfer (Q)
|
98% |
22077
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2662
98.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2043
75.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5819
215.5 IPS |
|
|
Text Classification (SP)
|
100% |
1860
2.48 KIPS |
|
|
Text Classification (HP)
|
100% |
899
1.20 KIPS |
|
|
Text Classification (Q)
|
97% |
1682
2.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
2293
39.5 IPS |
|
|
Machine Translation (HP)
|
100% |
902
15.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3222
64.8 IPS |