| User | rainsmoke |
| Upload Date | February 24 2026 09:48 AM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus Duo 15 SE GX551QM |
| Motherboard | ASUSTeK COMPUTER INC. GX551QM |
| Power Plan | Silent |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3354
623.7 IPS |
|
|
Image Classification (HP)
|
99% |
5778
1.08 KIPS |
|
|
Image Classification (Q)
|
99% |
2501
466.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
5730
92.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8505
137.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4536
73.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
39576
46.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
105996
123.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
32974
38.6 IPS |
|
|
Object Detection (SP)
|
100% |
4183
331.8 IPS |
|
|
Object Detection (HP)
|
100% |
7641
606.1 IPS |
|
|
Object Detection (Q)
|
85% |
3196
257.3 IPS |
|
|
Face Detection (SP)
|
100% |
10537
125.2 IPS |
|
|
Face Detection (HP)
|
100% |
16036
190.5 IPS |
|
|
Face Detection (Q)
|
97% |
8149
97.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
19869
153.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
38553
297.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
13506
108.1 IPS |
|
|
Style Transfer (SP)
|
100% |
64662
83.1 IPS |
|
|
Style Transfer (HP)
|
100% |
165998
213.4 IPS |
|
|
Style Transfer (Q)
|
98% |
53303
68.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12319
454.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20458
755.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7868
291.4 IPS |
|
|
Text Classification (SP)
|
100% |
1345
1.79 KIPS |
|
|
Text Classification (HP)
|
100% |
1653
2.21 KIPS |
|
|
Text Classification (Q)
|
97% |
688
922.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1999
34.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2065
35.6 IPS |
|
|
Machine Translation (Q)
|
70% |
775
14.5 IPS |