| User | Mark52 |
| Upload Date | April 07 2026 07:02 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12450H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Dash F15 FX517ZC_FX517ZC |
| Motherboard | ASUSTeK COMPUTER INC. FX517ZC |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12450H |
| Topology | 1 Processor, 8 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1922
357.4 IPS |
|
|
Image Classification (HP)
|
100% |
497
92.5 IPS |
|
|
Image Classification (Q)
|
99% |
3962
739.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1075
17.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
780
12.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5426
88.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3711
4.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
2948
3.44 IPS |
|
|
Pose Estimation (Q)
|
94% |
12891
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1836
145.6 IPS |
|
|
Object Detection (HP)
|
100% |
607
48.1 IPS |
|
|
Object Detection (Q)
|
86% |
3982
320.0 IPS |
|
|
Face Detection (SP)
|
100% |
4660
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
1339
15.9 IPS |
|
|
Face Detection (Q)
|
97% |
6659
79.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5150
39.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1852
14.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
10197
81.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9330
12.0 IPS |
|
|
Style Transfer (HP)
|
100% |
7353
9.45 IPS |
|
|
Style Transfer (Q)
|
98% |
16080
20.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1794
66.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1527
56.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4130
152.9 IPS |
|
|
Text Classification (SP)
|
100% |
1389
1.85 KIPS |
|
|
Text Classification (HP)
|
100% |
703
938.9 IPS |
|
|
Text Classification (Q)
|
97% |
1394
1.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1599
27.5 IPS |
|
|
Machine Translation (HP)
|
100% |
763
13.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2334
46.9 IPS |